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All Journal Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah Faedah: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia
Febria Helena
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Agriculture, Biological Sciences & Forestry Humanities Education Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice

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APLIKASI CERITA HUMA BETANG SEBAGAI SARANA PEMBELAJARAN MENULIS TEKS NARATIF SISWA SMP Diplan; Helmi; Rahman, Rahman; Fendi Hariatama H; Febria Helena
Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah Vol. 16 No. 1 (2026): Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/literasi.v16i1.36452

Abstract

The ability to write narrative texts is a fundamental competency in Indonesian language learning, but various field findings show that junior high school students still face difficulties in determining ideas, developing plots, and comprehensively understanding narrative structures. In this context, the integration of learning technologies that are sensitive to local culture is an urgent need. This study aims to develop and implement the Cerita Huma Betang Application as a medium for learning narrative writing that combines the power of digital literacy with the local wisdom of Central Kalimantan. The method used is Research and Development (R&D) with 30 eighth-grade students from SMP Negeri 6 Palangka Raya as test subjects. The results of the study show that this application contributes significantly to improving students' writing skills. The Read feature, which presents folk tales such as the Legend of Riam Mangkikit and others, has proven to be effective in helping students understand the patterns of orientation, complication, and resolution. The Selecting feature plays a role in facilitating students in choosing themes, characters, settings, and cultural values, so that the writing process becomes more focused. Data showed that 86.7% of students were able to produce more coherent, logical, and creative narrative texts after using the application. In addition, student response to the application has been very positive; its simple display, intuitive navigation, and digital writing space allow students to work more independently. Thus, the Cerita Huma Betang application is considered effective, practical, and relevant as a medium for learning narrative writing based on local culture, as well as being able to support the strengthening of students' digital literacy in the era of modern learning.
Penerapan Machine Learning untuk Prediksi Panen dan Mortalitas Ikan Lele pada UMKM Perikanan Pulang Pisau Helmi Helmi; Rahman Rahman; Mustaqiim Pangestu; Febria Helena; Santi Santi
Faedah: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia Vol. 4 No. 3 (2026): Agustus: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia
Publisher : FKIP, Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/faedah.v4i3.1944

Abstract

Catfish farming is one of the freshwater aquaculture sectors that plays an important role in improving community income and food security in Pulang Pisau Regency, Central Kalimantan. However, Micro, Small, and Medium Enterprises (MSMEs) in the fisheries sector still face several challenges, including difficulties in determining the optimal harvest time, high fish mortality rates, and suboptimal management of water quality and feeding practices. These issues reduce production efficiency and may lead to economic losses for fish farmers. This community service program aimed to implement a Machine Learning-based application called Smart Lele to support decision-making in predicting harvest time and fish mortality. The program adopted a participatory approach consisting of five stages: needs assessment, application development and customization, training and socialization, technology implementation with mentoring, and monitoring and evaluation. The Smart Lele application utilizes cultivation data, including fish age, stocking density, feeding practices, water quality, fish growth, and mortality rates, to generate accurate predictions and management recommendations. The implementation of this application is expected to improve the digital literacy and technological capacity of fisheries MSMEs, support data-driven decision-making, reduce fish mortality, improve feed efficiency, optimize harvest timing, and strengthen the productivity, competitiveness, and sustainability of catfish farming businesses through digital transformation.
Co-Authors Diplan Fendi Hariatama H Helmi Helmi Helmi Mustaqiim Pangestu Rahman Rahman Rahman Rahman Santi Santi