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All Journal Jurnal Pengabdian Masyarakat Sains dan Teknologi Jurnal Informatika Dan Tekonologi Komputer
Yunus Widjaja
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Education Social Sciences Other

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Educational Program on Converting Plastic Waste into Alternative Fuel Using Pyrolysis and Triboelectric Nanogenerators (TENG) for Community Leaders in Kasomalang Kulon Tourism Village, Subang Regency Hayadi Hamuda; Lukman Medriavin Silalahi; Safrizal Safrizal; Cahyono Budy Santoso; Yunus Widjaja; Chaerul Anwar; Teddy Mohamad Darajat; Listiana Satiawati; Sumihar M.L. Tobing; Aditiameri Aditiameri
Jurnal Pengabdian Masyarakat Sains dan Teknologi Vol. 5 No. 2 (2026): Juni: Jurnal Pengabdian Masyarakat Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/jpmsaintek.v5i2.1066

Abstract

This Community Service (CS) initiative was executed collaboratively by faculty members from five universities—Universitas Pamulang, Universitas Presiden, Universitas Trisakti, Universitas Pembangunan Jaya, and Universitas Borobudur—in Kasomalang Kulon Tourism Village, Subang Regency, West Java, on April 17, 2026. This initiative aimed to instruct village leaders, as prospective catalysts for change in waste management and renewable energy, on the technique for converting plastic trash into pyrolysis-derived alternative fuel and the Triboelectric Nanogenerator (TENG) energy harvesting technology. This activity addresses the critical issues of plastic waste pollution and the exhaustion of fossil fuel reserves. Annually, almost 8 million tonnes of plastic waste infiltrate the oceans, yet merely 9% of all plastic ever manufactured is effectively recycled. The collaborative effort encompassed Electrical Engineering, Computer Systems, Petroleum Engineering, Information Systems, Product Design, and Agrotechnology. The instructional techniques employed comprised lectures and conversations. The activity's results indicated that participants acquired a thorough comprehension of pyrolysis mechanisms, the principles of TENG energy conversion, and its possible applications at the village level. Despite the absence of direct implementation, the cadres shown significant motivation to facilitate technology adoption inside their communities. This PKM model demonstrates that interdisciplinary collaboration across universities is effective in providing innovative technological education to rural populations.
Perbandingan Naïve Bayes dan Logistic Regression untuk Analisis Sentimen Ulasan Produk Skincare di Tokopedia Indra Dikusuma; Yunus Widjaja
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 3 (2025): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i3.8420

Abstract

This study aims to compare the performance of Naïve Bayes (NB) and Logistic Regression (LR) in classifying the sentiment of skincare product reviews on Tokopedia. A total of 973 reviews were collected and processed through text preprocessing and feature extraction using TF-IDF. Evaluation using accuracy, precision, recall, and F1-score showed that NB achieved an accuracy of 75.9% but struggled to detect negative sentiment , while LR reached an accuracy of 92.3% with a more balanced classification. It is concluded that Logistic Regression is superior and more suitable for complex e-commerce review datasets, offering practical guidance for effective model selection
Co-Authors Aditiameri Aditiameri Cahyono Budy Santoso Chaerul Anwar Hamuda, Hayadi Indra Dikusuma Listiana Satiawati Lukman Medriavin Silalahi Safrizal Safrizal Sumihar M.L. Tobing Teddy Mohamad Darajat