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All Journal Journal Of Information And Technology Unimor (JITU) Jurnal Atma Inovasia Diteksi : Jurnal Pengabdian Kepada Masyarakat
Tomas Leonardo
Universitas Palangka Raya
Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Pelatihan Pemanfaatan Platform Video Conference untuk Mendukung Pembelajaran Hybrid bagi Siswa SMP Negeri 6 Palangka Raya Nova Noor Kamala Sari; Ressa Priskila; Widiatry; Viktor Handrianus Pranatawijaya; Putu Bagus Adidyana Anugrah Putra; Efrans Christian; Septian Geges; Novera Kristianti; Tomas Leonardo; Purmasari
Jurnal Atma Inovasia Vol. 6 No. 2 (2026)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v6i2.12707

Abstract

The community service activity entitled “Training on the Use of Video Conference Platforms for Students of SMP Negeri 6 Palangka Raya” was conducted with the main objective of enhancing students’ digital literacy, particularly in utilizing online learning applications such as Google Meet and Zoom. The identified problem was the students’ limited technical skills in operating these platforms, which could hinder their active participation in both hybrid and online learning. To address this issue, the program was designed as a hands-on training that included the introduction of basic features, simulations of virtual classrooms, and guidance on digital ethics in online interactions. Through this approach, students not only acquired fundamental technical skills but also improved their confidence in participating in online learning and developed a sense of responsibility in using technology. Therefore, this activity provides a tangible contribution to supporting students’ readiness in facing the increasingly digitalized educational landscape
Rencana Pengembangan Tata Ruang Dan Infrastruktur Dasar Desa Pulau Telo Roland Kurniawan; Andreas Miriadi; Muhammad Wisnu Reksa Kadarma; Vanessa Kahayanti Subroto; Baginda Syahdeva Hasibuan; Rima Ratna Dewanti; Bima Agung Saputra; Tomas Leonardo
Diteksi : Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2025): Diteksi, Vol. 3, No. 2, November 2025
Publisher : Fakultas Teknik Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36873/diteksi.v3i2.24515

Abstract

Spatial planning and basic infrastructure are major challenges in Pulau Telo Village, Kapuas Regency, which faces issues of overlapping land functions and flood risks due to low-lying geographical conditions. This community service aims to develop technical recommendations for adaptive village infrastructure development based on local aspirations. The implementation method uses a participatory-technical approach through field observations, community discussions, and engineering designs using AutoCAD, SketchUp, and Revit software. The results of the service are in the form of Detailed Engineering Design (DED) documents and Budget Plans (RAB) for four priority infrastructures: a 960 m² Village Market with flood elevation mitigation, a Waste Bank system (1 distribution building and 7 posts), a Village Gate, and 7 RT Boundary units. The total estimated planned budget is Rp2.001.927.274,00. This document serves as a strategic reference for the village government in submitting funding and integration into the Village Medium-Term Development Plan (RPJMDes) to ensure measurable and sustainable development.
Utilization of Chatbots for Sentiment Prediction of Alumni Data Using IndoRoBERTa Classifier: Pemanfaatan Chatbot dalam Prediksi Sentimen Data Alumni Menggunakan IndoRoBERTa Classifier Nova Noor Kamala Sari; Tomas Leonardo; Efrans Christian; Viktor Handrianus Pranatawijaya; Widiatry Widiatry
Journal of Information and Technology Vol. 5 No. 2 (2025): Journal of Information and Technology Unimor (JITU)
Publisher : Department of Information Technology, Universitas Timor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jitu.v5i2.9174

Abstract

Dalam era digital, analisis sentimen menjadi alat penting bagi institusi pendidikan untuk memahami opini alumni. Data yang tidak terstruktur dari survei dan media sosial memerlukan pendekatan berbasis kecerdasan buatan (AI) agar analisis lebih efisien. Namun, model Natural Language Processing (NLP) yang tersedia belum sepenuhnya dioptimalkan untuk Bahasa Indonesia, sehingga akurasi klasifikasi sentimen masih terbatas. Penelitian ini mengembangkan chatbot berbasis IndoRoBERTa Classifier untuk memprediksi sentimen alumni secara otomatis dalam tiga kategori: positif, negatif, dan netral. Hasil evaluasi menunjukkan bahwa model ini lebih akurat dibandingkan metode machine learning konvensional. Selain itu, chatbot yang dikembangkan dapat mempercepat analisis dengan memberikan respons real-time terhadap pengguna. Implementasi chatbot ini membantu institusi pendidikan dalam memahami kepuasan alumni dan meningkatkan layanan akademik. Penelitian ini merekomendasikan eksplorasi lebih lanjut terhadap model NLP deep learning serta integrasi chatbot dengan sistem pengelolaan umpan balik untuk mendukung pengambilan keputusan akademik yang lebih efektif.
Co-Authors Andreas Miriadi Baginda Syahdeva Hasibuan Bima Agung Saputra Efrans Christian Kristianti, Novera Muhammad Wisnu Reksa Kadarma Nova Noor Kamala Sari Priskila, Ressa Purmasari Putra, Putu Bagus Adidyana Anugrah Rima Ratna Dewanti Roland Kurniawan Septian Geges Vanessa Kahayanti Subroto Viktor Handrianus Pranatawijaya Widiatry Widiatry, Widiatry