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All Journal AGRITEPA: Jurnal Ilmu dan Teknologi Pertanian Jurnal Agroqua: Media Informasi Agronomi dan Budidaya Perairan PENDIPA Journal of Science Education JURNAL AGRONIDA JOURNAL OF SCIENCE AND SOCIAL RESEARCH Journal of Information Systems and Informatics Indonesia Berdaya PUCUK : Jurnal Ilmu Tanaman PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Jurnal Indonesia Raya SENGKUNI Journal (Social Science and Humanities Studies) Jurnal Pengabdian Journal of Social Science and Humanities (JoSSH) JURNAL BESEMAH Dikdimas : Jurnal Pengabdian Kepada Masyarakat Journal of Tropical Mycorrhiza Jurnal Pengabdian Kesehatan JURNAL ISIP VOICE : Jurnal Ilmu Sosial dan Ilmu Politik SMART : Jurnal Teknologi Informasi dan Komputer Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Parwito
Departement Of Agrotechnology, Faculty Of Agriculture, Universitas Ratu Samban, Bengkulu
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Strengthening Community Media Literacy and Digital Skills through Smart Media Education in Talang Pasak Village, North Bengkulu Regency Parwito Parwito; Wismalinda Rita; M. Rafhel Anggra Setia; Tri Wahyuniarti
JURNAL BESEMAH Vol. 5 No. 1 (2026): JANUARI-JUNI
Publisher : Gayaku Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/4eqkay88

Abstract

The rapid development of digital technology has transformed how people access, produce, and disseminate information through various media platforms. While easier access to digital media provides numerous benefits, it also increases the risk of exposure to hoaxes, disinformation, online fraud, privacy violations, and unethical or irresponsible social media use. These challenges highlight the importance of strengthening media literacy and digital skills, particularly among rural communities. This community service program aimed to improve community knowledge, critical awareness, and digital skills in using digital media intelligently, safely, ethically, and responsibly in Talang Pasak Village, Kerkap District, North Bengkulu Regency. The program employed educational, participatory, and contextual approaches through several stages, including needs identification, educational sessions, interactive discussions, simulations for identifying and verifying digital information, safe digital media practices, evaluation, and reflection. The educational materials covered media and digital literacy, identification of credible information and hoaxes, personal data protection, ethical communication on social media, and productive use of digital platforms. The results indicated positive improvements in participants’ understanding and responses, particularly in recognizing information that requires verification, understanding the importance of protecting personal data, and applying ethical principles when interacting in digital spaces. Participants also demonstrated active engagement in discussions and case-based simulations related to everyday social media use. These findings indicate that education based on real-life digital challenges and practical activities can serve as an appropriate strategy for strengthening media literacy and digital skills in rural communities. The sustainability of the program requires continuous assistance, accessible educational resources, and active collaboration between village authorities and community members to foster a critical, safe, productive, ethical, and responsible digital culture.
Impelementasi Perancangan Aplikasi Pendaftaran Pasien Non-JKN Berbasis Website di Klinik Mutiara Pratama Ismail Arifin; Nofri Heltiani; Parwito Parwito
JURNAL BESEMAH Vol. 5 No. 1 (2026): JANUARI-JUNI
Publisher : Gayaku Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/2h4ws165

Abstract

Pendaftaran pasien Non-JKN di Klinik Mutiara Pratama masih dilakukan secara manual sehingga berdampak tidak efektif dan tidak efisien keberlangsungan pendaftaran pasien, serta informasi yang dilaporkan kurang lengkap dan beresiko kurang tepat. Untuk itu telah dilakukan perancangan aplikasi pendaftaran pasien Non-JKN berbasis website melalui penelitian, namun hasil penelitian tersebut belum disosialisasikan kepada pihak klinik sehingga aplikasi tersebut belum dimanfaatkan oleh klinik. Tujuan kegiatan ini adalah memberikan sosialisasi dan pelatihan kepada petugas kesehatan pendafataran pasien Non-JKN. Jenis Pengabdian kepada Masyarakat ini adalah sosialisasi dan pelatihan melalui tahapan persiapan, pelakasanaan serta monitoring dan evaluasi. Hasil kegiatan 12 orang peserta mengikuti pelatihan di aula klinik. Hasil menunjukkan peserta pelatihan memberikan tanggapan bahwa aplikasi pendaftaran pasien Non-JKN berbasis website mudah untuk dipahami dan digunakan sehingga menimbulkan minat yang tinggi bagi peserta untuk mengimplementasikannya.
PEMANFAATAN GENERATIVE AI DALAM MONITORING KESEHATAN TANAMAN Parwito; Eko Sumartono
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 3 (2026): June 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i3.6357

Abstract

Abstract: The advancement of generative artificial intelligence (AI) opens new opportunities in precision agriculture, particularly in plant health monitoring and diagnosis. This study aims to systematically review studies discussing the use of Generative AI in plant health monitoring from 2019 to 2024. The method used is a Systematic Literature Review (SLR) following the PRISMA protocol (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Searches were conducted on Google Scholar, Scopus, Science Direct, and Portal Garuda databases using defined keywords. Of the 247 identified articles, 38 articles met the inclusion criteria and were analyzed in depth. The results show that Generative AI technologies, especially Generative Adversarial Networks (GAN), Diffusion Models, and vision-based Large Language Models (LLMs), have significantly contributed to plant disease detection, image data augmentation, and agronomic recommendation systems. Disease detection accuracy using GAN-based approaches averaged 94.7%, while visual transformer-based models recorded accuracy up to 96.3%. Key barriers include limited labeled datasets, technology gaps in rural areas, and lack of model adaptation to local Indonesian plant varieties. This study concludes that integrating Generative AI in plant health monitoring systems has great potential but requires multidisciplinary collaboration, local dataset development, and appropriate technology adoption policies. Keywords: Generative AI, GAN, Plant Health, Monitoring, Systematic Literature Review, Precision Agriculture   Abstrak: Perkembangan kecerdasan buatan (AI) generatif membuka peluang baru dalam bidang pertanian presisi, khususnya dalam monitoring dan diagnosis kesehatan tanaman. Penelitian ini bertujuan untuk mengkaji secara sistematis berbagai studi yang membahas pemanfaatan Generative AI dalam monitoring kesehatan tanaman dari tahun 2019 hingga 2024. Metode yang digunakan adalah Systematic Literature Review (SLR) dengan mengikuti protokol PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Pencarian dilakukan pada basis data Google Scholar, Scopus, Science Direct, dan Portal Garuda menggunakan kata kunci yang telah ditetapkan. Dari 247 artikel yang teridentifikasi, sebanyak 38 artikel memenuhi kriteria inklusi dan dianalisis secara mendalam. Hasil kajian menunjukkan bahwa teknologi Generative AI, terutama Generative Adversarial Networks (GAN), Diffusion Model, dan Large Language Model (LLM) berbasis visi, telah memberikan kontribusi signifikan dalam deteksi penyakit tanaman, augmentasi data citra, dan sistem rekomendasi agronomis. Tingkat akurasi deteksi penyakit menggunakan pendekatan berbasis GAN mencapai rata-rata 94,7%, sedangkan model berbasis transformer visual mencatat akurasi hingga 96,3%. Hambatan utama yang ditemukan meliputi keterbatasan dataset berlabel, kesenjangan teknologi di wilayah pedesaan, serta kurangnya adaptasi model terhadap varietas tanaman lokal Indonesia. Penelitian ini menyimpulkan bahwa integrasi Generative AI dalam sistem monitoring kesehatan tanaman memiliki potensi besar namun memerlukan kolaborasi multidisiplin, pengembangan dataset lokal, dan kebijakan adopsi teknologi yang tepat. Kata Kunci: Generative AI, GAN, Kesehatan Tanaman, Monitoring, Systematic
Co-Authors Adji Prahmana Putra Agus Triyogo Agustri Hestiana Ahmad Syarizal Sidiq Albasri Albasri Alexsander, Alexsander Allensha Mezza reriscie Andreani Andreani Kinata Andreani Kinata Andreani Kinata Andreani Kinata Andreani Kinata Andreani Kinata Andreani Kinata Andreani Kinata Aprianty, Henny Ariel Siswantoro Asrianti Arif Bakat Seno Pratomo Bambang Wijaya Kesuma Bobby Mandala Putra Deky Akbar Deni Dwi Cahya Dia Novita Sari Dia Novita Sari Dia Novita Sari Dia Novita Sari Dia Novita Sari Dian Novita Dian Novita Dian Novita Dyah Noor Intan Edi Susilo Eko Risdianto Eko Risdianto Eko Sumartono, Eko Ellananggar Agustian Engga Jalaludin Eny Rolenti Togatorop Eny Rolenty Togatorop Eny Togatorop Erli Zainal Ermatita - Exsa Akhirullah Fadillah Sari Faisal Danu Tuheteru Gusni Rahmarianti Hamdan Hamdan Harmiati Harmiati Harry Yanza Putra Henni Febriawati Herlinda Hernowo Novi Yanto HERU PURNAWAN Hesti Pujiwati Hesti Pujiwati Hety Novitasari Hety Novitasari Husna Husna Iin Nilawati Indra Warman Indra Warman Indra Warman Indra Warman Indrawati Saleh Intan Mutia Irfana Syafitri Ismail Arifin ismail arifin Janusi Waliamin Joko Purnomo Julia finola Ifanasari Kusen Kusen Kusen Kusen Linda Astuti M, Mujiono M. Rafhel Anggra Setia Mariana Zainun Maya Melati Miranda Hadiyanti Hadijah Moh.Hafiz Albaridi Mohamad Rafi Muhammad Thoriqul Khoir Mulyadi Mulyadi Nofri Heltiani Nofri Heltiani Noval Miftahul Ihsan Novi Lasmada Sari Novi Lasmadasari Novita Hamron Novita Hamron Nur Aini Oktamalia Oktamalia Oktamalia Popy Siska Putri Prio Susanto Puspita, Veny Putra Akhir, Ade Fitrah Rahadian Harry Dewanto Rahiman Dani Rahmad Lendo Reski Noviana Rifda Naufalin Rina Susianti Riska Yanuarti Risnita Tri Utami Rita, Wismalinda Riza Komala Sari Salamun Salamun Salamun Sandra Arifin Aziz Sari Widyaningsih Sijebir Sijebir Siti Hanila Sri Narti Sukemi Sukemi Supriyono, Supriyono Susi Handayani Susi Handayani Susi Handayani Syafitasari, Juanda Tatik Raisawati Tatik Raisawati Tatik Raisawati Tatik Raisawati Tenia Desenze Tri Wahyuniarti Triana Setyawardani Vica Sekarsari Warsito Warsito Wati, Nopia Wismalinda Rita Wiwin Rahmawati Nurdin Wulan Angraini Yudistio Dwi Putra Yully Hospy Zaidina Angkasa Zul Fadli