Portal Jurnal Ilmiah
Goretan Pena

Abstract: Determining recipients of health assistance at the village level often faces obstacles of subjectivity and inaccuracy of targeting due to the proposal process which is still carried out manually without structured assessment criteria. This study aims to apply the Simple Additive Weighting (SAW) method in determining recipients of the Indonesian Health Card - Contribution Assistance Recipient (KIS-PBI) in Padang Sari Village to improve the accuracy and objectivity of the proposal process. The method used is a computer-based Decision Support System with a Multiple Attribute Decision Making (MADM) approach, where the assessment is carried out based on a number of predetermined social and economic criteria and is weighted according to their level of importance. The calculation process is carried out through the formation of a decision matrix, matrix normalization, and calculation of preference values for each alternative. The results of the study indicate that the application of the SAW method is able to produce a clear ranking of alternatives, thus facilitating the determination of residents who are eligible to be proposed as KIS-PBI recipients. The conclusion of this study is that the SAW method is effective for use as a decision-making tool in the distribution of health assistance at the village level because it is able to produce more objective, transparent, and measurable decisions compared to the manual method.Keyword: kis-pbi; multiple attribute decision making (MADM); simple additive weighting Abstrak: Penentuan penerima bantuan kesehatan di tingkat desa seringkali menghadapi kendala subjektivitas dan ketidaktepatan sasaran akibat proses pengusulan yang masih dilakukan secara manual tanpa kriteria penilaian yang terstruktur. Penelitian ini bertujuan untuk menerapkan metode Simple Additive Weighting (SAW) dalam penentuan penerima Kartu Indonesia Sehat–Penerima Bantuan Iuran (KIS-PBI) di Desa Padang Sari guna meningkatkan ketepatan dan objektivitas proses pengusulan. Metode yang digunakan adalah Sistem Pendukung Keputusan berbasis komputer dengan pendekatan Multiple Attribute Decision Making (MADM), di mana penilaian dilakukan berdasarkan sejumlah kriteria sosial dan ekonomi yang telah ditetapkan dan diberi bobot sesuai tingkat kepentingannya. Proses perhitungan dilakukan melalui pembentukan matriks keputusan, normalisasi matriks, dan perhitungan nilai preferensi untuk setiap alternatif. Hasil penelitian menunjukkan bahwa penerapan metode SAW mampu menghasilkan perankingan alternatif secara jelas sehingga memudahkan penentuan warga yang layak diusulkan sebagai penerima KIS-PBI. Simpulan dari penelitian ini adalah bahwa metode SAW efektif digunakan sebagai alat bantu pengambilan keputusan dalam penyaluran bantuan kesehatan di tingkat desa karena mampu menghasilkan keputusan yang lebih objektif, transparan, dan terukur dibandingkan dengan metode manual.Kata kunci: kis-pbi; multiple attribute decision making (MADM); sistem pendukung keputusan

Abstract: This study aims to develop early childhood literacy in regional storytelling through the Children's Creativity Program at Kober Yustisia 2 Kindergarten, Kelapa Tujuh, Kotabumi, North Lampung. Forty children aged 4–6 years old, divided into classes B1 and B2, were involved using the Classroom Action Research (CAR) method, with stages of planning, implementation, observation, and reflection. The program included an introduction to regional storytelling, character discussions, character drawing, the creation of simple storybooks, and exhibitions and readings of children's work. The results showed a significant increase in children's literacy in regional storytelling, with the percentage of children with high literacy increasing from 45% to 82%, while those with medium and low literacy decreased to 13% and 5%, respectively. Furthermore, children demonstrated increased activeness, creativity, social-emotional skills, and courage in expressing ideas. Interviews with teachers and children supported these findings, demonstrating increased interest in learning, self-confidence, and pride in their work. Based on these results, the Children's Creativity Program based on regional storytelling is effective in improving literacy and instilling local cultural values in early childhood. Keyword: Early Childhood Literacy, Regional Stories, Children's Creativity Program Abstrak : Penelitian ini bertujuan untuk mengembangkan literasi cerita daerah anak usia dini melalui Program Kreativitas Anak di TK Kober Yustisia 2 Kelapa Tujuh, Kotabumi, Lampung Utara dengan melibatkan 40 anak usia 4–6 tahun yang terbagi dalam kelas B1 dan B2 , menggunakan metode Penelitian Tindakan Kelas (PTK) dengan tahapan perencanaan, pelaksanaan, observasi, dan refleksi. Program yang diterapkan meliputi pengenalan cerita daerah, diskusi tokoh cerita, menggambar tokoh, pembuatan buku cerita sederhana, serta pameran dan pembacaan karya anak. Hasil penelitian menunjukkan peningkatan signifikan pada literasi cerita daerah anak, dengan persentase anak berkategori literasi tinggi meningkat dari 45% menjadi 82%, sementara literasi sedang dan rendah menurun menjadi 13% dan 5%. Selain itu, anak menunjukkan peningkatan keaktifan, kreativitas, kemampuan sosial-emosional, dan keberanian mengekspresikan ide. Wawancara dengan guru dan anak mendukung temuan ini, menunjukkan peningkatan minat belajar, kepercayaan diri, dan rasa bangga terhadap karya yang dibuat. Berdasarkan hasil tersebut, Program Kreativitas Anak berbasis cerita daerah efektif dalam meningkatkan literasi dan menanamkan nilai budaya lokal pada anak usia dini. Kata kunci: Literasi Anak Usia Dini, Cerita Daerah, Program Kreativitas Anak

Abstract: Nature-based tourism has distinctive risk characteristics due to direct interactions between tourists and the natural environment. Danum Bahandang Natural Tourism Site is a nature tourism destination that potentially poses health and safety risks to visitors if not managed systematically. This study aims to analyze potential hazards and the level of tourist health and safety risks at the Danum Bahandang Natural Tourism Site. A qualitative descriptive approach was employed using the Hazard Identification, Risk Assessment, and Risk Control (HIRARC) method. Data were collected through field observations, interviews, documentation, and a Google Form questionnaire involving 14 respondents. The results indicate that potential hazards originate from road access conditions, river characteristics, natural environmental elements, and limited safety facilities. Risk assessment shows varying levels of risk, ranging from low to high, influenced by environmental conditions and tourist activities. This study concludes that the HIRARC method is effective in identifying and mapping health and safety risks in nature-based tourism destinations, contributing to risk management practices in sustainable tourism development. Keyword: Risk Management, Tourist Safety, Hazard Identification, Risk Assessment, And Risk Control (HIRARC) Abstrak: Wisata alam memiliki karakteristik risiko yang khas akibat interaksi langsung antara wisatawan dan lingkungan alami. Objek Wisata Alam Danum Bahandang merupakan salah satu destinasi wisata alam yang berpotensi menimbulkan risiko kesehatan dan keselamatan wisatawan apabila tidak dikelola secara sistematis. Penelitian ini bertujuan menganalisis potensi bahaya dan tingkat risiko kesehatan serta keselamatan wisatawan pada Objek Wisata Alam Danum Bahandang. Metode penelitian yang digunakan adalah kualitatif deskriptif dengan pendekatan Hazard Identification, Risk Assessment, and Risk Control (HIRARC). Pengumpulan data dilakukan melalui observasi lapangan, wawancara, dokumentasi, serta kuesioner Google Form yang melibatkan 14 responden. Hasil penelitian menunjukkan bahwa potensi bahaya bersumber dari kondisi akses jalan, karakteristik perairan sungai, keberadaan elemen alam, serta keterbatasan fasilitas keselamatan. Penilaian risiko menunjukkan variasi tingkat risiko dari rendah hingga tinggi yang dipengaruhi oleh kondisi lingkungan dan aktivitas wisata. Penelitian ini menyimpulkan bahwa metode HIRARC efektif digunakan untuk memahami dan memetakan risiko kesehatan dan keselamatan wisatawan pada destinasi wisata alam sebagai bagian dari upaya pengelolaan pariwisata yang berkelanjutan. Kata kunci: Manajemen Risiko, Kesehatan Keselamatan, Hazard Identification, Risk Assessment, And Risk Control (HIRARC)

Abstract: Human resources are strategic organizational assets; therefore, an objective, systematic, and data-driven performance evaluation system is required. At Universitas Alifah Padang, employee performance assessment is still dominated by conventional approaches that are subjective and have not been able to comprehensively describe performance patterns. This study aims to apply Data Mining using K-Means Clustering and the C4.5 algorithm to analyze employee performance evaluation. The research method employs the Knowledge Discovery in Database (KDD) framework, which includes data collection, data analysis, variable analysis, K-Means analysis, C4.5 analysis, and evaluation. The K-Means Clustering algorithm is used to group employees based on similarities in performance characteristics, while the C4.5 algorithm is applied to build a decision tree–based classification model to identify patterns and dominant factors influencing performance evaluation. The research dataset consists of 96 employee records assessed using six performance indicators: responsibility, initiative, teamwork, work quality, work quantity, and discipline. The results indicate the formation of three performance clusters, namely very good (42 records), good (48 records), and fairly good (6 records), with consistent results between manual calculations and RapidMiner testing. This study contributes a Data Mining–based employee performance evaluation model that can serve as a foundation for strategic decision-making in higher education institutions. Keywords: Data Mining;K Means Clustering;C4.5;Performa Evaluation Abstrak: Sumber daya manusia merupakan aset strategis organisasi sehingga diperlukan sistem penilaian kinerja yang objektif, sistematis, dan berbasis data. Di Universitas Alifah Padang, penilaian kinerja karyawan masih didominasi pendekatan konvensional yang bersifat subjektif dan belum mampu menggambarkan pola kinerja secara komprehensif. Penelitian ini bertujuan menerapkan konsep Data Mining dengan algoritma K-Means Clustering dan C4.5 untuk menganalisis penilaian kinerja karyawan. Metode penelitian menggunakan kerangka Knowledge Discovery in Database (KDD) yang meliputi kumpul data, analisa data, analisa variabel, analisis k means, C4.5 dan evaluasi. Algoritma K-Means Clustering digunakan untuk mengelompokkan karyawan berdasarkan kemiripan karakteristik kinerja, sedangkan algoritma C4.5 digunakan untuk membangun model klasifikasi berbasis pohon keputusan guna mengidentifikasi pola dan faktor dominan penilaian kinerja. Dataset penelitian terdiri dari 96 data karyawan dengan enam indikator kinerja, yaitu tanggung jawab, inisiatif, kerja sama tim, kualitas kerja, kuantitas kerja, dan disiplin. Hasil pengujian menunjukkan terbentuknya tiga klaster kinerja, yaitu sangat baik (42 data), baik (48 data), dan cukup baik (6 data), dengan hasil yang konsisten antara perhitungan manual dan RapidMiner. Penelitian ini berkontribusi menyediakan model analisis penilaian kinerja berbasis Data Mining sebagai dasar pengambilan keputusan strategis di perguruan tinggi. Abstrak ditulis menggunakan times new roman 11 maksimal 200 kata dalam satu paragraf. Abstrak ditulis dengan ringkas, jelas, dalam bahasa Indonesia dan bahasa inggris. Abstrak minimal memuat tujuan, metodologi, hasil penelitian, dan simpulan. Abstrak didampingi oleh kata kunci. Kata kunci sedapat mungkin menjelaskan isi tulisan, ditulis dengan huruf kecil kecuali singkatan, maksimum 5 (Lima) kata, masing-masing dipisahkan dengan titik koma; Times New Roman 11. Kata kunci: Data Mining; K Means Clustering; C4.5; Penilaian Kinerja

Abstract: BPJS Kesehatan is a national health insurance program that plays a vital role in providing public health services in Indonesia; however, its implementation has generated diverse public perceptions reflected on social media. This study analyzes public sentiment toward the BPJS Kesehatan program based on Instagram comments using a text mining and machine learning approach. The research methodology includes Indonesian text preprocessing, feature weighting using Term Frequency–Inverse Document Frequency (TF–IDF), and three-class sentiment classification (positive, negative, and neutral) using Multinomial Naïve Bayes and Support Vector Machine (SVM) algorithms. The dataset consists of 1,461 Instagram comments, which are divided into training and testing data with an 80:20 ratio. The experimental results show that Multinomial Naïve Bayes achieves an accuracy of 80.55%, while SVM yields a higher accuracy of 86.35%. These results indicate that SVM performs better in separating sentiment classes within short and imbalanced Instagram comment data. This study contributes to Indonesian-language sentiment analysis research and provides insights for evaluating public health services through social media data. Keyword: sentiment analysis; BPJS Kesehatan; Instagram; Naïve Bayes; Support Vector Machine. Abstrak: BPJS Kesehatan merupakan program strategis nasional yang berperan penting dalam menjamin akses layanan kesehatan bagi masyarakat Indonesia, namun implementasinya masih memunculkan beragam persepsi publik yang tercermin pada media sosial. Penelitian ini mengkaji analisis sentimen masyarakat terhadap program BPJS Kesehatan berdasarkan komentar pada platform Instagram menggunakan pendekatan text mining dan pembelajaran mesin. Metode penelitian meliputi pra-pemrosesan teks berbahasa Indonesia, pembobotan fitur menggunakan Term Frequency–Inverse Document Frequency (TF–IDF), serta klasifikasi sentimen tiga kelas (positif, negatif, dan netral) menggunakan algoritma Multinomial Naïve Bayes dan Support Vector Machine (SVM). Dataset yang digunakan terdiri dari 1.461 komentar Instagram yang dibagi menjadi data latih dan data uji dengan rasio 80:20. Hasil pengujian menunjukkan bahwa Multinomial Naïve Bayes menghasilkan akurasi sebesar 80,55%, sedangkan SVM mencapai akurasi yang lebih tinggi yaitu 86,35%. Temuan ini menunjukkan bahwa SVM memiliki kemampuan yang lebih baik dalam memisahkan kelas sentimen pada data komentar Instagram yang bersifat pendek dan tidak seimbang. Penelitian ini diharapkan dapat memberikan kontribusi dalam pengembangan analisis sentimen berbahasa Indonesia serta menjadi masukan awal bagi evaluasi layanan publik berbasis media sosial. Kata kunci: analisis sentimen; BPJS Kesehatan; Instagram; Naïve Bayes; Support Vector Machine.

Organizational behavior studies have long been dominated by positivistic and rational-economic paradigms that position humans as instrumental actors. Such domination has marginalized moral and ethical dimensions in organizational practices, leading to increasing ethical violations, leadership crises, and declining organizational legitimacy. This study aims to examine the role of philosophy of science as the foundation for developing value- and morality-based organizational behavior theory. A qualitative approach was employed through a critical literature review of scientific publications related to philosophy of science, management, and organizational behavior. The findings indicate that integrating ontological, epistemological, and axiological dimensions enables the repositioning of humans as moral subjects, expands epistemological approaches through interpretive–reflective methods, and reinforces the normative purpose of organizational behavior science. This study concludes that value- and morality-based organizational behavior theory is essential for building ethical, just, and sustainable organizations, particularly within the Indonesian socio-cultural context

The development of Artificial Intelligence (AI) has brought significant changes to managerial decision-making processes. AI is capable of improving efficiency, accuracy, and the speed of data analysis across various managerial functions. However, the utilization of AI also raises axiological and ethical issues, particularly concerning values, responsibility, transparency, fairness, and the social impacts of the decisions generated. This paper aims to examine the axiological and ethical aspects of AI usage in managerial decision-making by highlighting its benefits, risks, and associated moral implications. Through a conceptual approach and literature review, this study discusses the importance of applying ethical principles such as accountability, fairness, and human oversight in the use of AI. The findings indicate that the integration of AI in management must be accompanied by a clear value-based and ethical framework to ensure that the technology provides optimal benefits without neglecting human values and social responsibility

Abstract: This riset conceptually explores the analysis of power structures in the management of desires inside modern business organizations via the lens of critical paradigms and how axiological principles such as justice, sustainability, and autonomy might steer business practices towards enhanced ethicality and introspection. The critical paradigm method aims to "uncover" the concealed mechanisms underlying the formation and regulation of desires (for example, via marketing and self-responsibilization) to expose the ideological hegemony that sustains injustice. The action approach, on the other hand, stresses the importance of making moral ideals a part of company plans and practices. The synthesis of recent literature indicates that in the absence of normative values, business practices are susceptible to manipulation, exploitation, and the abuse of power, including market power. Companies that continuously adhere to ethical norms, such as justice, social responsibility, and openness, tend to exhibit greater competitiveness and longevity. This article asserts that establishing critical paradigms in desire management enhances accountability for socio-ecological consequences, while axiological values function as a normative guide to ensure that businesses do not solely "manage desires" for profit but also honor consumer autonomy, maintain distributive justice, and safeguard environmental sustainability. Practical implications necessitate the establishment of corporate policies that prioritize public welfare, in accordance with OECD guidelines on Responsible Business Conduct, coupled with the enhancement of consumer critical literacy to foster collective awareness that enables structural protections against market dominance

Abstract: This study aims to determine the improvement of learning outcomes by using the Task Based Learning learning model based on wordwall puzzles for eighth-grade students of Eria Middle School, Medan. This type of research uses classroom action research (CAR), which is carried out in 2 cycles using the Kurt Lewin model consisting of 4 stages, namely: planning, action, observation, and reflection. The subjects involved in this study were all 20 eighth-grade students of Eria Middle School in the 2025/2026 academic year. In this study, the instruments used were test sheets, observation sheets, linkert scales, and SPPS version 26. The data analysis technique is SPSS software where the data is processed using descriptive and interferential statistics, including minimum, maximum, mean, and standard deviation values. So the results of this study indicate that the application of the Puzzle Wordwall-assisted Task Based Learning model significantly improves student learning outcomes. Where the value shows an increase in the average student score from 54.50 (cycle I) to 75.75 (cycle II). Learning completeness increased from 15% to 60%. The Paired Sample t-Test test shows a significance of 0.000 (<0.05), proving a significant increase in learning outcomes. Thus, it can be concluded that the use of the Puzzle Wordwall-based Task Based Learning model on operating system material is very efficient and helps in improving the learning outcomes of class VIII students of SMP Eria Medan.   Keywords: Task Based Learning, Wordwall Puzzle, Learning Outcomes, Operating Systems, Middle School.   Abstrak: Penelitian ini bertujuan untuk mengetahui peningkatan hasil belajar dengan menggunakan model pembelajaran Task Based Learning berbasis puzzle wordwall siswa kelas VIII SMP Eria Medan. Jenis penelitian ini menggunakan penelitian tindakan kelas (PTK), yang dilakukan dengan 2 siklus memakai model Kurt Lewin yang terdiri dari 4 tahap yaitu: perencanaan, tindakan, pengamatan, dan refleksi. Subjek yang terlibat dalam penelitian ini ialah seluruh siswa kelas VIII SMP Eria tahun ajaran 2025/2026 yang berjumlah 20 siswa. Dalam penelitian ini instrumen  yang digunakan berupa lembar tes lembar observasi skala linkert dan SPPS versi 26. Teknik analisis data yaitu software SPSS dimana data diolah secara statistik deskriptif dan interfensial, meliputi nilai minimum, maksimum, mean, dan standar deviasi. Sehingga hasil penelitian ini menunjukkan bahwa penerapan model Task Based Learning berbantuan Puzzle Wordwall secara signifikan meningkatkan hasil belajar siswa. Dimana nilainya menunjukkan peningkatan nilai rata-rata siswa dari 54,50 (siklus I) menjadi 75,75 (siklus II). Ketuntasan belajar meningkat dari 15% menjadi 60%. Uji Paired Sample t-Test menunjukkan signifikansi 0,000 (< 0,05), membuktikan peningkatan hasil belajar signifikan. Dengan demikian, dapat disimpulkan bahwa penggunaan model Task Based Learning berbasis Puzzle Wordwall pada materi sistem operasi sangat efisien dan membantu dalam meningkatkan hasil belajar siswa kelas VIII SMP Eria Medan.   Kata kunci: Task Based Learning, Puzzle Wordwall, Hasil Belajar, Sistem Operasi, SMP

Abstract: Rapid population growth and urbanization make solid waste management a pressing environmental and socio-economic challenge. The transition from a linear "take-use-dispose" economy to a restorative and regenerative circular economy model is imperative. This research in-depth analyzes how Community-Based Waste Management (CWBM) initiatives can contribute to achieving a circular economy, focusing on the interacting systematic dynamics. Using a Loop Dynamics approach, this study identifies and examines the complex cause-and-effect relationships and feedback loops in Padang City's waste management ecosystem. Through a quantitative survey of 100 respondents, it was found that the variables studied simultaneously had a significant influence on management success. However, no variable had a significant effect on the outcome. Loop Dynamics modeling revealed reinforcing loops (R1-R6) that drive positive cycles, such as increased revenue from recycling that stimulates participation, and balancing loops (B1-B3) that maintain system balance. These findings confirm that PSBM is not simply a mitigation strategy, but rather a strategic intervention point capable of driving a circular transition, creating local economic opportunities, and supporting the achievement of the Sustainable Development Goals (SDGs). The results of this study are expected to guide policymakers and communities in designing more innovative and adaptive waste management strategies. Keywords: Waste Management, Circular Economy, Loop Dynamics, Sustainable Development. Abstrak: Laju pertumbuhan penduduk dan urbanisasi yang pesat menjadikan pengelolaan sampah sebagai tantangan lingkungan dan sosial-ekonomi yang mendesak. Transisi dari ekonomi linier "ambil-pakai-buang" menuju model ekonomi sirkular yang restoratif dan regeneratif menjadi imperatif. Penelitian ini menganalisis secara mendalam bagaimana inisiatif Pengelolaan Sampah Berbasis Masyarakat (PSBM) dapat berkontribusi pada pencapaian ekonomi sirkular, dengan fokus pada sistematis yang saling berinteraksi. Menggunakan pendekatan Loop Dynamics, studi ini mengidentifikasi dan menguji hubungan sebab-akibat serta umpan balik kompleks di ekosistem pengelolaan sampah Kota Padang. Melalui survei kuantitatif terhadap 100 responden, ditemukan bahwa variabel yang diteliti secara simultan memiliki pengaruh signifikan terhadap keberhasilan pengelolaan. Namun, secara parsial tidak ada variabel yang memiliki pengaruh signifikan. Pemodelan Loop Dynamics mengungkap adanya reinforcing loops (R1-R6) yang mendorong siklus positif, seperti peningkatan pendapatan dari daur ulang yang memicu partisipasi, serta balancing loops (B1-B3) yang menjaga keseimbangan sistem. Temuan ini menegaskan bahwa PSBM bukan sekadar strategi mitigasi, melainkan titik intervensi strategis yang mampu mendorong transisi sirkular, menciptakan peluang ekonomi lokal, dan mendukung pencapaian Tujuan Pembangunan Berkelanjutan (SDGs). Hasil penelitian ini diharapkan dapat menjadi panduan bagi pembuat kebijakan dan komunitas dalam merancang strategi pengelolaan sampah yang lebih inovatif dan adaptif. Kata Kunci: Pengelolaan Sampah, Ekonomi Sirkular, Loop Dynamics, Pembangunan Berkelanjutan.

Abstract: This Community Service Program aims to broaden the knowledge and awareness of women from PKK groups and the local community of Pematang Johar Village regarding ecoprint as an environmentally friendly creative product based on local resources with economic potential. Pematang Johar Village is an agrarian area with 18 existing flagship products from various hamlets, yet ecoprint has never been introduced or developed. The activity was conducted through several stages, including preparation, socialization, and educational sessions using video presentations to demonstrate the ecoprint production process and digital marketplace platforms for product marketing. This program was implemented as an international community service activity involving collaboration between STIE Eka Prasetya and partner universities from Thailand, Malaysia, and Vietnam. Approximately 30 participants consisting of PKK members and village residents attended the activity. The results indicate that participants gained new cognitive skills, developed a new perspective on utilizing local leaves as creative resources, and showed strong interest in further developing ecoprint as a village-based economic activity. The evaluation results show a participant satisfaction rate of 98 percent. This program represents an initial step toward women empowerment and the development of ecoprint as a potential new flagship product oriented toward the global market.                Keywords: ecoprint; community service; global marketing; village creative economy; women empowerment Abstrak: Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk membuka wawasan dan meningkatkan pengetahuan ibu ibu PKK serta masyarakat Desa Pematang Johar mengenai ecoprint sebagai produk kreatif berbasis potensi lokal yang ramah lingkungan dan bernilai ekonomi. Desa Pematang Johar merupakan desa agraris dengan 18 produk unggulan dari berbagai dusun, namun ecoprint belum pernah diperkenalkan maupun dikembangkan sebelumnya. Metode kegiatan dilaksanakan secara bertahap, dimulai dari persiapan, sosialisasi, dan edukasi melalui pemutaran video proses pembuatan ecoprint serta pengenalan pemasaran produk melalui marketplace digital. Kegiatan ini merupakan PKM internasional yang melibatkan kolaborasi antara STIE Eka Prasetya dengan mitra perguruan tinggi luar negeri dari Thailand, Malaysia, dan Vietnam. Kegiatan diikuti oleh sekitar 30 peserta yang terdiri dari ibu ibu PKK dan masyarakat desa. Hasil kegiatan menunjukkan bahwa peserta memperoleh keterampilan baru secara kognitif, perubahan cara pandang terhadap pemanfaatan dedaunan lokal, serta meningkatnya minat untuk mengembangkan ecoprint sebagai potensi ekonomi desa. Hasil evaluasi menunjukkan tingkat kepuasan peserta sebesar 98 persen. Kegiatan ini menjadi tahap awal dalam upaya pemberdayaan perempuan dan pengembangan ecoprint sebagai produk unggulan baru yang berorientasi pada pasar global. Kata kunci: ecoprint; ekonomi kreatif desa; pemasaran global; pemberdayaan perempuan; pengabdian kepada masyarakat

Abstract: This community service activity aims to strengthen village economic self-reliance through synergy between legislators and academics in Pematang Johar Village, Deli Serdang Regency. The program was designed using a participatory and educational approach that integrates academic perspectives and public policy to enhance community capacity in entrepreneurship, economic awareness, and understanding of policy support for village economic development. The implementation methods included lectures and interactive discussions focusing on local potential-based business development, community participation in economic activities, and the role of legislators in supporting village economic empowerment. Evaluation was conducted using pre- and post-activity questionnaires to assess changes in participants’ understanding, attitudes, and motivation. The results indicate significant improvements across all evaluation indicators, including understanding of village economic self-reliance, awareness of community and legislative roles, entrepreneurial knowledge, self-confidence, and motivation to engage in sustainable economic activities. The findings demonstrate that synergy between academics and legislators provides added value in community empowerment by combining knowledge transfer with policy perspectives. Overall, this community service activity contributes to strengthening community capacity, collective awareness, and social capital as foundations for sustainable village economic self-reliance. Keywords: community service; village economic self-reliance; community empowerment; legislators; academics Abstrak: Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memperkuat kemandirian ekonomi desa melalui sinergi antara legislator dan akademisi di Desa Pematang Johar, Kabupaten Deli Serdang. Kegiatan dirancang menggunakan pendekatan edukatif dan partisipatif yang mengintegrasikan perspektif akademik dan kebijakan publik untuk meningkatkan kapasitas masyarakat dalam kewirausahaan, kesadaran ekonomi, serta pemahaman terhadap peran kebijakan dalam pengembangan ekonomi desa. Metode pelaksanaan meliputi ceramah dan diskusi interaktif yang berfokus pada pengembangan usaha berbasis potensi lokal, partisipasi masyarakat dalam kegiatan ekonomi, serta peran legislator dalam mendukung pemberdayaan ekonomi desa. Evaluasi kegiatan dilakukan melalui kuesioner sebelum dan sesudah kegiatan untuk mengukur perubahan pemahaman, sikap, dan motivasi peserta. Hasil evaluasi menunjukkan adanya peningkatan yang signifikan pada seluruh indikator, termasuk pemahaman tentang kemandirian ekonomi desa, peran masyarakat dan legislator, pengetahuan kewirausahaan, kepercayaan diri, serta motivasi untuk mengembangkan usaha secara berkelanjutan. Hasil kegiatan ini menunjukkan bahwa sinergi antara akademisi dan legislator memberikan nilai tambah dalam proses pemberdayaan masyarakat melalui penguatan kapasitas dan perspektif kebijakan. Secara keseluruhan, kegiatan pengabdian ini berkontribusi dalam membangun kapasitas masyarakat, kesadaran kolektif, dan modal sosial sebagai fondasi kemandirian ekonomi desa yang berkelanjutan. Kata kunci: pengabdian kepada masyarakat, kemandirian ekonomi desa, pemberdayaan masyarakat, legislator, akademisi

Abstract: This study aims to analyze the effect of the Numbered Heads Together (NHT) cooperative learning model on the mathematical communication skills of tenth-grade students at MAN 1 Medan. This study uses a quantitative approach with a quasi-experimental design of the nonequivalent control group design. The research subjects consisted of an experimental group of 36 students and a control group of 34 students. The data collection instrument was a mathematical communication ability test through a pretest and posttest. Data were analyzed using an independent sample t-test after fulfilling the normality and homogeneity tests. The results showed that the average posttest score of the experimental group was 84.88, higher than the control group of 80.47. The t-test results showed a significance value of 0.017

Abstract: This study aims to analyze the service quality of the Tokopedia application based on user reviews using the E-SERVQUAL approach. This study uses a qualitative method with a thematic content analysis approach. The research data comes from user reviews of the Tokopedia application available on the Google Play Store. The data were analyzed by grouping the reviews into seven E-SERVQUAL dimensions, namely efficiency, system availability, fulfillment, privacy, responsiveness, compensation, and contact. The validity of the data was tested through credibility, transferability, and dependability tests. The results show that user perceptions of Tokopedia's service quality vary. Some users consider Tokopedia's services to have provided easy access and fairly good data security. However, dominant complaints are still found in the dimensions of efficiency, system availability, fulfillment, and responsiveness, especially related to system stability, service speed, accuracy of order fulfillment, and customer service response. Based on these findings, Tokopedia needs to prioritize improving service quality in the dimensions that are most complained about by users. Keywords: E-SERVQUAL, electronic service quality, user reviews, Tokopedia. Abstrak: Penelitian ini bertujuan untuk menganalisis kualitas layanan aplikasi Tokopedia berdasarkan ulasan pengguna dengan menggunakan pendekatan E-SERVQUAL. Penelitian ini menggunakan metode kualitatif dengan pendekatan analisis isi tematik. Data penelitian bersumber dari ulasan pengguna aplikasi Tokopedia yang tersedia di Google Play Store. Data dianalisis dengan mengelompokkan ulasan ke dalam tujuh dimensi E-SERVQUAL, yaitu efficiency, system availability, fulfillment, privacy, responsiveness, compensation, dan contact. Keabsahan data diuji melalui uji credibility, transferability, dan dependability. Hasil penelitian menunjukkan bahwa persepsi pengguna terhadap kualitas layanan Tokopedia bersifat beragam. Beberapa pengguna menilai layanan Tokopedia telah memberikan kemudahan akses dan keamanan data yang cukup baik. Namun, masih ditemukan keluhan yang dominan pada dimensi efficiency, system availability, fulfillment, dan responsiveness, terutama terkait kestabilan sistem, kecepatan layanan, ketepatan pemenuhan pesanan, serta respons layanan pelanggan. Berdasarkan temuan tersebut, Tokopedia perlu memprioritaskan peningkatan kualitas layanan pada dimensi-dimensi yang paling banyak dikeluhkan pengguna. Kata kunci: E-SERVQUAL, kualitas layanan elektronik, ulasan pengguna, Tokopedia.

Abstract: Inventory information systems play an important role in supporting inventory management and ensuring smooth company operations. CV. Multi Sarana Packindo has implemented an inventory information system; however, several issues are still encountered in its implementation, such as discrepancies in stock data, delays in information updates, and a system interface that does not adequately support user needs. This study aims to evaluate the performance and quality of the inventory information system at CV. Multi Sarana Packindo using the PIECES Framework and McCall’s Software Quality Model. The research method employed is descriptive qualitative, with data collected through observation, interviews, and documentation studies. The PIECES framework is used to assess the operational aspects of the system, while McCall’s model is applied to evaluate the technical quality of the software. The results indicate that the inventory information system has not yet operated optimally. The PIECES analysis reveals weaknesses in the performance, information, efficiency, and control aspects. Meanwhile, the McCall analysis shows low quality in terms of correctness, reliability, efficiency, and usability. Therefore, comprehensive improvements to both the system and business processes are required to enhance the effectiveness and accuracy of inventory management. Keywords: Inventory Information System, PIECES Framework, McCall’s Software Quality Model, System Evaluation, Software Quality Abstrak: Sistem informasi inventory berperan penting dalam mendukung pengelolaan persediaan dan kelancaran operasional perusahaan. CV. Multi Sarana Packindo telah menerapkan sistem informasi inventory, namun dalam pelaksanaannya masih ditemukan permasalahan seperti ketidaksesuaian data stok, keterlambatan pembaruan informasi, serta antarmuka sistem yang kurang mendukung kebutuhan pengguna. Penelitian ini bertujuan untuk mengevaluasi kinerja dan kualitas sistem informasi inventory pada CV. Multi Sarana Packindo menggunakan PIECES Framework dan McCall’s Software Quality Model. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan studi dokumentasi. PIECES digunakan untuk menilai aspek operasional sistem, sedangkan model McCall digunakan untuk mengevaluasi kualitas teknis perangkat lunak. Hasil penelitian menunjukkan bahwa sistem informasi inventory belum berjalan secara optimal. Analisis PIECES mengungkap adanya kelemahan pada aspek performance, information, efficiency, dan control, sementara analisis McCall menunjukkan rendahnya kualitas pada aspek correctness, reliability, efficiency, dan usability. Oleh karena itu, diperlukan perbaikan menyeluruh pada sistem dan proses bisnis untuk meningkatkan efektivitas dan akurasi pengelolaan persediaan. Kata kunci: Sistem Informasi Inventory, PIECES Framework, McCall’s Software Quality Model, Evaluasi Sistem, Kualitas Perangkat Lunak

Abstract: Industrial waste has had a negative impact on the environment and human health. Industrial waste pollution can occur due to improperly managed waste disposal. Managing industrial waste can be one way to reduce the impact of environmental pollution. Checking industrial waste can be a solution for implementing oversight of waste management, but it will be difficult to implement if done in a large industrial area. Waste classification based on organic and non-organic waste categories. Convolutional Neural Networks (CNNs) and MobileNet can be applied to automatically detect organic and non-organic industrial waste systems. Researchers have conducted a comparative study between the Convolutional Neural Network (CNN) and MobileNet models, which is useful for obtaining the best model. The results of the analysis concluded that MobileNet has better accuracy, precision, and recall compared to the CNN model. The accuracy, precision, and recall generated by MobileNet are 99.5%, 99.4%, and 100%. Therefore, MobileNet is very suitable for implementation in an automatic industrial waste detection system in real-time applications.   Keyword: computer vision;  convolutional neural network (CNN); deep learning; industrial waste; mobilenet.  Abstrak: Limbah industri telah mengakibatkan dampak buruk bagi lingkungan dan kesehatan manusia. Pencemaran limbah industri dapat terjadi akibat pembuangan limbah yang tidak terkelola dengan baik. Pengelolaan limbah industri dapat menjadi salah satu cara untuk mengurangi dampak pencemaran lingkungan. Pengecekan limbah industri dapat menjadi solusi untuk menerapkan pengawasan terhadap pengelolaan limbah, namun akan sulit diterapkan jika dilakukan pada area industri yang luas. Klasifikasi limbah berdasarkan kategori limbah organik dan limbah non organik. Convolutional Neural Network (CNN) dan MobileNet dapat diterapkan untuk sistem pendeteksi limbah industri organik dan non organik secara otomatis. Peneliti telah melakukan studi komparatif antara model Convolutional Neural Network (CNN) dan MobileNet yang berguna untuk memperoleh model terbaik. Hasil analisa yang telah dilakukan menyimpulkan bahwasanya MobileNet mempunyai akurasi, precision dan recall yang lebih baik jika dibandingkan dengan model CNN. Akurasi, precision dan recall yang dihasilkan oleh MobileNet sebesar 99,5% 99,4% dan 100%. Oleh karena itu, MobileNet sangat cocok untuk diterapkan pada sistem deteksi limbah industri secara otomatis pada aplikasi real-time.Kata kunci: computer vision; convolutional neural network (CNN); limbah industri; mobilenet; pembelajaran mendalam.

Abstract: Machine learning (ML) models are frequently characterized as "black boxes" due to their complexity, which renders them difficult for humans to interpret. Model interpretability is crucial for understanding the underlying drivers of specific predictions. In the context of mining operations, explaining the fuel consumption rate (FCR) patterns of mining haul trucks through predictive modeling is essential; however, engineers often struggle to identify the most significant contributors quickly and easily. Because standard ML models do not disclose the logic behind their decisions, engineers face ambiguity when analyzing conditions and prioritizing necessary repairs. Such prioritization is vital, as maintenance costs, technical difficulty, and downtime directly impact productivity. Consequently, a model-agnostic approach is required to bridge this gap. This research aims to develop a predictive model to analyze FCR behavior and patterns, subsequently interpreting them through model-agnostic techniques. The study utilized Vehicle Health Monitoring System (VHMS) data from August 2024 to February 2025, incorporating outlier and multicollinearity management. The Random Forest Regressor (RFR) was employed as the primary machine learning algorithm. Global interpretations were conducted using Partial Dependence Plots (PDP), Feature Interaction, and Permutation Feature Importance, while local interpretations were performed using Local Interpretable Model-Agnostic Explanations (LIME) and Shapley Values (SHAP). The performance evaluation results demonstrate that the RFR predictive model maintains consistent performance regardless of the data treatment applied. The optimal configuration was the RFR model without normalization or outlier handling, achieving an RMSE of 3.7312, a SMAPE of 4.64%, and an R-squared of 0.7936. Both global and local interpretations identified engine speed, road angle, and boost pressure as the top three factors significantly contributing to FCR. Keywords: Fuel Consumption Rate; Interpretable Machine Learning; Agnostic Model; Random Forest Abstrak: Model machine learning (ML) sering disebut sebagai “Black-Box” karena kerumitannya sehingga sulit diinterpretasikan oleh manusia. Interpretabilitas model menjadi sangat penting untuk memahami penyebab sebuah prediksi tertentu dibuat. Salah satunya dalam memahami perilaku dan menjelaskan pola fuel consumption rate (FCR) dari mining haul truck menggunakan model prediksi. Seorang engineer akan kesulitan untuk menentukan kontributor paling signifikan secara mudah dan cepat. Pada sebuah prediksi, sebuah model ML tidak akan memberi tahu bagaimana sampai pada sebuah keputusan. Hal ini akan menimbulkan kebingungan engineer pada saat akan menganalisa kondisi dan menentukan prioritas perbaikan yang diperlukan. Prioritisasi perbaikan perlu dilakukan karena pertimbangan biaya, tingkat kesulitan, dan downtime yang sangat mempengaruhi produktivitas. Oleh karena itu, pendekatan model agnostik perlu dilakukan. Penelitian ini bertujuan untuk menghasilkan model prediksi untuk memahami perilaku dan pola FCR kemudian menginterpretasikannya dengan model agnostik. Penelitian ini menggunakan data Vehicle Health Monitoring System (VHMS) dari Agustus 2024 hingga Februari 2025 dengan penanganan outlier dan multikolinieritas. Algoritma ML yang digunakan adalah Random Forest Regressor (RFR). Model agnostik yang digunakan untuk interpretasi global adalah Partial Dependence Plot (PDP), Feature Interaction, dan Permutation Feature Importance. Sedangkan interpretasi lokal menggunakan Local Interpretable Model-Agnostic Explanations (LIME) dan Shapley Value (SHAP). Hasil evaluasi performa model menunjukkan bahwa model prediksi RFR memiliki performa yang konsisten bagaimanapun perlakuan data diterapkan. Model prediksi terbaik yang dipilih adalah model RFR Tanpa Normalisasi – Tanpa Penanganan Outlier dengan nilai RMSE 3,7312, SMAPE 4,64%, dan R-Squared 0,7936. Hasil interpretasi global dan lokal menunjukkan bahwa top three faktor yang berkontribusi signifikan terhadap FCR adalah engine speed, road angle, dan boost pressure. Kata Kunci: Fuel Consumption Rate; Interpretable Machine Learning; Model Agnostik; Random Forest

Abstract: The rapid development of information technology has encouraged various business sectors, including sports, to optimize their operations through digital-based systems. One example is the futsal field rental business, which requires an efficient information system to manage rental data, booking schedules, and payment transactions in an integrated manner. This study focuses on the development of an information system for Valentine Futsal Field Rental using the Extreme Programming (XP) method. The XP method was chosen because it employs an iterative and flexible approach to software development, allowing the system to be built quickly while maintaining quality and alignment with user requirements. The research stages include planning, design, coding, and testing. In the planning stage, system requirements were analyzed through interviews with the owner and customers of the futsal field rental business. The design stage involved creating interface and database designs using Unified Modeling Language (UML). The system implementation was developed using the PHP programming language with the CodeIgniter framework and MySQL database. System testing was conducted using black box testing to ensure that each feature functions properly according to user needs. The results of the study show that the developed information system effectively facilitates the field booking process, manages customer and rental schedule data automatically, and provides real-time transaction reports. Therefore, the application of the Extreme Programming (XP) method has proven effective in accelerating the development process while improving efficiency and accuracy in managing the Valentine futsal field rental operations. Keyword: Information System, Futsal Field Rental, Extreme Programming (XP), CodeIgniter, MySQL. Abstrak: Perkembangan teknologi informasi yang pesat telah mendorong berbagai sektor usaha, termasuk bidang olahraga, untuk mengoptimalkan proses bisnisnya melalui sistem berbasis digital. Salah satu contohnya adalah usaha penyewaan lapangan futsal yang membutuhkan sistem informasi yang efisien guna mengelola data penyewaan, jadwal pemesanan, serta transaksi pembayaran secara terintegrasi. Penelitian ini berfokus pada pembuatan sistem informasi penyewaan lapangan futsal Valentine menggunakan metode Extreme Programming (XP). Metode XP dipilih karena memiliki pendekatan iteratif dan fleksibel dalam pengembangan perangkat lunak, yang memungkinkan sistem dikembangkan secara cepat dengan tetap mempertahankan kualitas dan kesesuaian terhadap kebutuhan pengguna. Tahapan penelitian meliputi perencanaan (planning), perancangan (design), pengkodean (coding), serta pengujian (testing). Pada tahap perencanaan dilakukan analisis kebutuhan sistem melalui wawancara dengan pemilik dan pengguna jasa penyewaan lapangan. Selanjutnya, tahap perancangan dilakukan dengan membuat rancangan antarmuka dan basis data menggunakan Unified Modeling Language (UML). Implementasi sistem dikembangkan menggunakan bahasa pemrograman PHP dengan framework CodeIgniter dan basis data MySQL. Pengujian sistem dilakukan menggunakan black box testing untuk memastikan setiap fitur berfungsi sesuai dengan kebutuhan pengguna. Hasil penelitian menunjukkan bahwa sistem informasi yang dibangun mampu mempermudah proses pemesanan lapangan, mengelola data pelanggan dan jadwal penyewaan secara otomatis, serta menyediakan laporan transaksi secara real-time. Dengan demikian, penerapan metode Extreme Programming (XP) terbukti efektif dalam mempercepat proses pengembangan sistem serta meningkatkan efisiensi dan akurasi dalam pengelolaan data penyewaan lapangan futsal Valentine. Kata kunci: Sistem Informasi, Penyewaan Lapangan Futsal, Extreme Programming (XP), CodeIgniter, MySQL.

Abstract: Unhealthy snacks are a common problem among elementary school students due to their lack of knowledge about food safety. This situation is exacerbated by a lack of attention from parents, educators, and schools to the types of snacks consumed by children. Based on the Final Report of the Monitoring and Verification Results of the National School Snack Food Safety Profile (PJAS) over the past 10 years, 98.9% of school children regularly buy snacks, and only about 1% never buy snacks. Furthermore, data from the Food and Drug Monitoring Agency (BPOM) from 2008–2011 shows that 40–44% of school snacks do not meet food safety requirements. This condition poses a risk of food poisoning and has negative impacts on children's health. Objective: This study aims to develop a flip and learn flashcard-based nutrition education media to increase elementary school students' knowledge about the importance of choosing healthy snacks. It is hoped that this media can reduce the number of food poisoning cases caused by unhealthy snacks. Using a posttest-only control group design, which involved administering a posttest to both the control and experimental groups after the intervention was implemented, this study produced educational media in the form of flashcards that were effective in increasing students' understanding of the importance of choosing healthy snacks. Keyword: Nutrition Education, Educational Media, Flashcards, Healthy Children's Snacks, Elementary School Children Abstrak: Jajanan tidak sehat merupakan salah satu masalah yang sering dialami oleh siswa sekolah dasar (SD) karena masih rendahnya pengetahuan mereka tentang keamanan pangan. Kondisi ini diperparah dengan kurangnya perhatian dari orang tua, pendidik, dan pihak sekolah terhadap jenis jajanan yang dikonsumsi anak-anak. Berdasarkan Laporan Akhir Hasil Monitoring dan Verifikasi Profil Keamanan Pangan Jajanan Anak Sekolah (PJAS) Nasional dalam 10 tahun terakhir, tercatat sebanyak 98,9% anak sekolah terbiasa jajan, dan hanya sekitar 1% yang tidak pernah jajan. Selain itu, data dari Badan Pengawas Obat dan Makanan (BPOM) tahun 2008–2011 menunjukkan bahwa 40-44% jajanan sekolah belum memenuhi syarat keamanan pangan. Kondisi ini menimbulkan risiko keracunan ma- kanan dan dampak buruk terhadap kesehatan anak. Tujuan: Penelitian ini bertujuan untuk mengembangkan media edukasi gizi berbasis flashcard flip and learn guna meningkatkan pengetahuan siswa sekolah dasar mengenai pentingnya memilih jajanan sehat. Diharapkan media ini dapat menekan angka keracunan makanan akibat jajanan tidak sehat. Menggunakan desain posttest only control group, yaitu memberikan posttest kepada ke- lompok kontrol dan kelompok eksperimen setelah intervensi dilakukan. Penelitian ini menghasilkan media edukasi berupa flashcard yang efektif dalam meningkatkan pemahaman siswa tentang pentingnya memilih jajanan sehat. Kata kunci: Edukasi Gizi, Media Edukasi, Flashcard, Jajanan Anak Sehat, Anak Sekolah Dasar

Abstract: This research aims to develop chemistry e-modules based on Experiential Learning (EL) model on reaction rate material and test its validity, practicality, and effectiveness. The method used is the ADDIE development model. The research subjects were 30 students of class XI MIPA 2 at SMA Swasta PAB 8 Saentis. The results of the validity of the e-module by material and media experts showed a percentage of content feasibility of 83%, presentation of 84%, EL aspects of 80%, graphics of 81%, and language of 87%, with an average of 83% which is included in the “very feasible” category. Practicality of e-modules from learner responses obtained an average percentage of 82% in the “very practical” category. The effectiveness test through N-Gain shows an increase in learning outcomes from a pretest score of 43.83 to a posttest of 85.17, with an N-Gain score of 73.54% which is classified as “quite effective”. From the overall results, the EL-based chemistry e-module on reaction rate material is declared valid, practical, and effective enough to be used as teaching material in the chemistry learning process. Keywords: E-Modules, Experiential Learning, Reaction Rate, ADDIE Abstrak: Penelitian ini bertujuan untuk mengembangkan e-modul kimia berbasis model Experiential Learning (EL) pada materi laju reaksi serta menguji validitas, praktikalitas, dan efektivitasnya. Metode yang digunakan adalah model pengembangan ADDIE (Analysis, Design, Development, Implementation, Evaluation). Subjek penelitian adalah 30 peserta didik kelas XI MIPA 2 di SMA Swasta PAB 8 Saentis. Hasil validitas e-modul oleh ahli materi dan media menunjukkan persentase kelayakan isi sebesar 83%, penyajian 84%, aspek EL 80%, kegrafikan 81%, dan bahasa 87%, dengan rata-rata 83% yang termasuk kategori "sangat layak". Praktikalitas e-modul dari respon peserta didik memperoleh persentase rata-rata 82% dengan kategori sangat praktis. Uji efektivitas melalui N-Gain menunjukkan peningkatan hasil belajar dari nilai pretest sebesar 43,83 menjadi posttest 85,17, dengan skor N-Gain sebesar 73,54% yang tergolong cukup efektif. Dari keseluruhan hasil, e-modul kimia berbasis EL pada materi laju reaksi dinyatakan valid, praktis, dan cukup efektif sehingga layak digunakan sebagai bahan ajar dalam proses pembelajaran kimia. Kata kunci: E-Modul, Experiential Learning, Laju Reaksi, ADDIE