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All Journal Jurnal Psikologi Tabularasa INSAN Jurnal Psikologi dan Kesehatan Mental Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Psychopolytan (Jurnal Psikologi) Jurnal Hilirisasi IPTEKS (JHI) JOMIS (Journal of Midwifery Science) Psibernetika Psychosophia: Journal of Psychology, religion, and humanity Jurnal Bakti Masyarakat Indonesia Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Jurnal Penelitian Inovatif Psikologia: Jurnal Pemikiran dan Penelitian Psikologi Jurnal Pengabdian Masyarakat Psycho Idea Jurnal Andalas: Rekayasa dan Penerapan Teknologi Innovative: Journal Of Social Science Research
Tri Rahayuningsih
Universitas Andalas
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Veterinary Other

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PENINGKATAN KAPASITAS DAN KUALITAS KERIPIK TALAS UMI SITUJUH MELALUI TEKNOLOGI MESIN PRODUKSI, BRANDING KEMASAN FOIL-ZIPLOCK BERLABEL HALAL, DAN DAPUR HIGIENIS Tri Rahayuningsih; Andasuryani; Luciana Luthan
Jurnal Andalas: Rekayasa dan Penerapan Teknologi Vol. 5 No. 1 (2025): Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jarpet.v5i1.65

Abstract

Keripik Talas merupakan salah satu makanan ringan yang termasuk dalam jenis UMKM yang banyak dijumpai di Provinsi Sumatera Barat. Untuk meningkatkan mutu dan penjualan keripik, diperlukan sentuhan ilmu pengetahuan dan teknologi dalam pengolahan dan pengemasannya agar mutu dan penjualan keripik meningkat. Kualitas produk berpengaruh signifikan terhadap keputusan konsumen dalam membeli produk keripik. Juga strategi pemasaran yang diterapkan melalui penguatan merek dan pengemasan yang menarik. Upaya untuk meningkatkan pendapatan usaha Mikro Makanan Ringan Keripik Talas melalui inovasi teknologi mesin pengiris keripik guna meningkatkan kapasitas produksi sehingga diharapkan dapat mengatasi penggunaan peralatan manual seperti ketam yang lama dan susah pengerjaannya. Termasuk diversifikasi rasa selain balado, yakni rumput laut untuk penambahan gizi keripik. Perlu juga memperhatikan higienitas dan legalitas usaha dalam rangka menjaga kualitas produk melalui perluasan dapur produksi.
Digitalisasi Agribisnis dan Social-Entrepreneurship Jamur Crispy Berbasis IoT melalui MycoGrow untuk Penguatan Usaha Kelompok Tani Nagari Taram Anip Febtriko; Yandri; Tri Rahayuningsih Shasha
Jurnal Pengabdian Masyarakat - PIMAS Vol. 5 No. 3 (2026): Agustus
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v5i3.2630

Abstract

The Oyster Mushroom Farmer Group in Nagari Taram, Harau District, Lima Puluh Kota Regency, has significant potential for developing oyster mushroom cultivation as a high-value agricultural commodity. However, cultivation practices and business management are still carried out using conventional methods, particularly in monitoring the temperature and humidity of mushroom growing houses, recording production data, and marketing products, which remains limited to local markets. These conditions have resulted in unstable production, a high baglog failure rate, low operational efficiency, and suboptimal business competitiveness. This community engagement program aims to enhance productivity and strengthen the farmer group's business through MycoGrow, an Internet of Things (IoT)-based digital cultivation and agribusiness model for oyster mushrooms. The proposed solutions include implementing a real-time environmental monitoring system using IoT sensors, digitalizing production records and business management through a dedicated application, and strengthening digital marketing via social media, online marketplaces, and product branding strategies. The implementation method consists of partner needs assessment, program socialization, technical training, technology deployment, mentoring, monitoring, evaluation, and the development of a sustainability strategy. The expected outcomes include improved cultivation stability and productivity, reduced baglog failure rates, comprehensive digitalization of business records, enhanced capacity of farmer group members in data-driven business management, and expanded market reach through digital platforms.
A Novel Framework for Dynamic Semantic Network Analysis with Evolutionary Community Detection Applied to LMS Research Anip Febtriko; Muhammad Giatman; Dedy Irfan; Syafrijon Syafrijon; Tri Rahayuningsih
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 2 (2026): April 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i2.7250

Abstract

The rapid proliferation of Learning Management Systems (LMS) in K–12 education has generated a substantial body of research, yet how its core themes emerge, converge, and transform over time remains insufficiently understood. Existing bibliometric and topic modeling approaches produce static snapshots of the literature, structurally incapable of capturing the dynamic epistemic processes through which research communities form and evolve. This study introduces Dynamic Semantic Network Analysis with Evolutionary Community Detection (DSNA-ECD), a novel computational framework that conceptualizes the K–12 LMS research field as a living epistemic system — a conceptual reframing that constitutes a distinct contribution to the K–12 LMS literature beyond prior static approaches. DSNA-ECD integrates three methodologically principled components: transformer-based semantic embeddings via Sentence-BERT (`all-MiniLM-L6-v2`), selected for its capacity to capture latent semantic proximity beyond lexical co-occurrence; a hybrid weighting scheme empirically calibrated to balance structural and semantic network signals; and the Leiden algorithm for community detection, preferred over Louvain for its theoretical guarantee of well-connected partitions and superior modularity optimization. Applied to a two-decade corpus of K–12 LMS publications, findings reveal a maturing field progressing from exploratory fragmentation through consolidation toward sophisticated integration of AI-enhanced adaptive systems and learning analytics. Compared to co-citation analysis, LDA topic modeling, and static semantic networks, DSNA-ECD uniquely offers semantic depth, guaranteed community coherence, calibrated hybrid weighting, and full cross-temporal trajectory tracking. Critically, findings reveal urgent underrepresentation of equity, algorithmic transparency, and ethical deployment research as AI-enhanced LMS systems proliferate, with direct implications for researchers, educational technologists, and policymakers.
Co-Authors - Andasuryani Adrian Adi Putra Alma Khairun Nisa Amatul Firdausa Nasa Anggreiny, Nila anip Febtriko Anip Febtriko Anip Febtriko Ardian Adi Putra, Ardian Adi Armen Danur Arni Amir Chintia Aulia Rahmah Dedy Irfan Destia Fachri Diny Amenike Dwi Puspasari Elisa Fepri Nengsih Erwin Erwin Fadhlurrahman, Fakhri Rizky Fauzana, Annisa Fitri Yeni, Fitri Guslendra Guslendra Helyuza Ridwan Indah Wahyuni Ira Puspita Sari Izzanil Hidayati Khairunisa, Ulfa Liliyana Sari Luciana Luthan Maulidya Maulidya Nelia Afriyeni Nila Anggreiny, Nila Pratama, Weno Rahmadoni, Jefril Rani Armalita Rania Putri Shaliha Refli Noviardi Resti Wahyuni Rico Dwi Putra Anggara Rini Anggraini, Rini Rini Sovia Rozi Sastra Purna Septi Mayang Sari Sheila Maeshade Siska Oktari Syafrijon Syafrijon Welya Refdi, Cesar Yandri Yantri Maputra