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All Journal Unram Journal of Community Service (UJCS) Journal of Big Data Analytic and Artificial Intelligence
M, Hasriani
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Implementasi K-Means Clustering untuk Mengelompokkan Data Produktivitas Penelitian Dosen di Una’im Yapis Wamena Syarifah, Syarifah; Ali, Muhammad; Samad, Asman; Nabillah Azza, Fayra; M, Hasriani; Susiana, Susiana
Journal of Big Data Analytic and Artificial Intelligence Vol 8 No 2 (2025): JBIDAI Desember 2025
Publisher : STMIK PPKIA Tarakanita Rahmawati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71302/jbidai.v8i2.90

Abstract

Una'im Yapis Wamena, as one of the higher education institutions in Papua, has a number of lecturers with various research activities. However, the challenge faced is the difficulty of comprehensively identifying the patterns and characteristics of faculty research. Without proper analysis, it is difficult for the institution to determine the research productivity profile of faculty members, identify those who require mentoring, or determine the focus of research capacity development. This can result in suboptimal allocation of resources, research support, and research development planning within the institution. This study aims to help determine the level of productivity of lecturers in research with high, medium, and low categories. With this grouping, it is hoped that the Una'im Yapis Wamena Campus can more easily make decisions about the appropriate coaching methods to improve the research results of lecturers. The method used in this study is K-means Clustering. The data analyzed included 45 lecturers with variables such as number of publications, number of citations, H-index, funded research, and research collaboration. The results of this study show that the level of faculty research productivity can be grouped into three categories, namely: Cluster 1 (High Productivity) consisting of 8 faculty members, Cluster 2 (Medium Productivity) consisting of 25 faculty members, and Cluster 3 (Low Productivity) consisting of 12 faculty members. The clustering process reached convergence in the 6th iteration with stable results. These clustering results can serve as a guide for Una'im Yapis Wamena in determining policies to increase lecturer research productivity in the future.
Increasing Paddy and Tuber Crop Production Through Environmentally Friendly Straw Biodecomposer Technology Innovation in Wara Village, Jayawijaya M, Hasriani; Adi, Tiomy Butsianto; Wulandari, Siti Latifa; S, Herlyani; Laurenze, Reynaldi; Yare, Enjelin Delila; Walilo, Kiliopas; Kepno, Yulianus; Sudarwan, Ikranul; Maresyembun, Clara Irianti Natalia; Matuan, Olivia Natasya; Weya, Elsye Eva; Bahabol, Mince; Sirwa, Natalia Ledi; Amohoso, Miel; Degey, Periska; Wolom, Fringki; Elopere, Beti; Bogum, Omega; Logo, Agus; Asso, Fajar Sidik; Yikwa, Deli; Yikwa, Diana; Aud, Yeriana; Tabuni, Viktor
Unram Journal of Community Service Vol. 6 No. 4 (2025): December: In Progress
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v6i4.1296

Abstract

Rice straw management remains a major challenge in Wara Village, Jayawijaya Regency, where farmers commonly burn straw after harvest and lack the technical capacity to process agricultural waste. This community service program aimed to strengthen farmers’ and women’s family welfare development (FWD) technical and managerial skills by introducing biodecomposer technology based on locally available resources. The program involved socialization, technical training on compost production, simple farm bookkeeping instruction, field practice using molasses and EM4, and intensive mentoring. The results indicated substantial improvements in participants' knowledge and skills, including the ability to process 20–30 kg of rice straw per fermentation cycle and the establishment of a pilot farmer group capable of independently applying the technology. The family welfare development also gained competencies as household-level environmental stewards. The intervention contributed to reducing straw burning, improving soil quality through organic matter reintegration, and strengthening local socio-economic institutions. Overall, this program supports the development of autonomous, environmentally friendly, and sustainable agricultural practices in Wara Village.
Co-Authors Adi, Tiomy Butsianto Amohoso, Miel Asso, Fajar Sidik Aud, Yeriana Bahabol, Mince Bogum, Omega Degey, Periska Elopere, Beti Kepno, Yulianus Laurenze, Reynaldi Logo, Agus Maresyembun, Clara Irianti Natalia Matuan, Olivia Natasya MUHAMMAD ALI Nabillah Azza, Fayra S, Herlyani Samad, Asman Sirwa, Natalia Ledi Siti Latifa Wulandari Sudarwan, Ikranul Susiana Susiana Syarifah Syarifah, Syarifah Tabuni, Viktor Walilo, Kiliopas Weya, Elsye Eva Wolom, Fringki Yare, Enjelin Delila Yikwa, Deli Yikwa, Diana