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All Journal Journal of Governance and Local Politics (JGLP) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Golden Ratio of Community Services and Dedication Bhakti: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Muhammad Rijal
Institut Teknologi dan Bisnis Nobel Indonesia
Religion Arts Humanities Dentistry Education Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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PELATIHAN PEMANFAATAN ARTIFICIAL INTELLIGENCE (AI) DALAM MENINGKATKAN KETERAMPILAN MENGAJAR GURU SMA NEGERI 1 SIDRAP Raden Wirawan; Agunawan; Muhammad Yassir; Muhammad Rijal; Nurani; Eka Wijaya Paula; Aulyah Zakilah Ifani; Nurul Istiqamah; Muthi Syahidah Arifuddin; Fyan Wijaya Komputra Ahmadi; Masyita Risna
BHAKTI: JURNAL PENGABDIAN DAN PEMBERDAYAAN MASYARAKAT Vol. 4 No. 02 (2025): Desember
Publisher : Universitas Islam Tribakti (UIT) Lirboyo Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33367/nvhm5525

Abstract

This service activity aims to provide information about the development of AI in the world of education and the use of AI information technology to support learning activities. The target of the activity is teachers at SMA Negeri 1 Sidrap. The activity was carried out for 1 day with stages of preparation, problem solving, implementation and monitoring and evaluation. The focus of implementing this activity is the introduction of AI tools that are easy to use and focused on how to utilize information technology to improve teacher performance.  The results of the training on the Use of Artificial Intelligence (AI) in education at SMA Negeri 1 Sidrap went smoothly and will help create a learning environment that is more effective, efficient and responsive to the needs of students and teachers.
Digitalization of MSMEs: Market Expansion and Business Efficiency Through Technology in Sabila Village, Mallawa District, Indonesia Nurhaeda Zaeni; Muhammad Rijal; M. Maryadi; Hamdana Jamaluddin; Hikmah Manganni; Musdhalifah Yusran
Golden Ratio of Community Services and Dedication Vol. 6 No. 2 (2026): May - October
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grcsd.v6i2.2232

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play an essential role in strengthening local economies and creating employment opportunities. However, many MSMEs still face limitations in digital literacy, market access, and business management efficiency. This community service activity aimed to enhance MSME capacity through an entrepreneurship seminar focusing on digitalization. The seminar was conducted in Sabila Village, Mallawa District, Maros Regency, involving 40 MSME actors from various business sectors. The activity employed a participatory andragogical approach consisting of interactive presentations, group discussions, and practical demonstrations. The results indicate that participants experienced increased understanding of digital marketing strategies, improved awareness of online marketplace utilization, and enhanced motivation to adopt technology for business efficiency. The seminar also facilitated collaboration among MSME actors and generated practical strategies for market expansion. The findings confirm that digital entrepreneurship seminars serve as effective tools for MSME empowerment and contribute to sustainable local economic development.
Sentiment Analysis of Indonesian Government Policies Using the LSTM Model for Public Opinion Mapping Muhammad Rijal; Firman Aziz; Nuzul Tenriana; Eva Delilah
Jurnal Pemerintahan dan Politik Lokal Vol 8 No 1 (2026): JGLP, MAY 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jglp.v8i1.2336

Abstract

Social media has evolved into a primary arena for citizens to express and negotiate opinions regarding government policies, creating vast opportunities for data-driven policy evaluation. This study aims to map public sentiment toward Indonesian government policies by integrating deep learning–based sentiment classification with linguistic and governance analysis. A dataset of approximately 50,000 Indonesian-language posts was collected from Twitter (X) and Facebook between January and June 2024. The data were processed through text cleaning, tokenization, stopword removal, and word embedding using Word2Vec and FastText, and subsequently classified into positive, negative, and neutral sentiments using a Long Short-Term Memory (LSTM) model. The results indicate that public opinion is predominantly negative (45%), particularly in relation to economic and taxation policies, while positive sentiment (34%) is mainly associated with education and health sectors. The LSTM model achieved an accuracy of 86.9%, outperforming Support Vector Machine (SVM) and Naïve Bayes models. Furthermore, linguistic analysis reveals that emotive and sarcastic expressions play a significant role in shaping critical public discourse, whereas colloquial language enhances engagement, especially among younger users. This study contributes by bridging computational sentiment analysis with linguistic interpretation and public policy evaluation within a unified framework. The findings provide practical implications for evidence-based policymaking by enabling governments to monitor public sentiment in real time, improve policy communication strategies, and foster more participatory and responsive governance.
Inovasi Produksi Gula Aren dalam Meningkatkan Kualitas dan Nilai Ekonomi Produk Lokal BUMDESA Mangngallebaji Desa Tassese Raden Wirawan; Muhammad Rijal; Imriani Idrus; Arfadilah Amir; Zulfikar S
JURPIKAT Vol 7 No 1 (2026): 7.1 2026
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v7i1.2857

Abstract

Kegiatan pengabdian kepada masyarakat ini berfokus pada peningkatan kualitas dan nilai ekonomi produk gula aren di Desa Tassese melalui inovasi teknologi produksi dan penguatan manajemen BUMDesa Mangngallebaji. Permasalahan utama mitra adalah proses produksi tradisional yang tidak efisien dan kurang higienis. Tujuan kegiatan adalah mentransfer teknologi tepat guna serta meningkatkan kapasitas manajemen usaha desa. Metode yang digunakan adalah Community-Based Participatory Research (CBPR) dengan lima tahap partisipatif: identifikasi kebutuhan, perencanaan kolaboratif, implementasi teknologi, evaluasi, dan keberlanjutan program. Hasil kegiatan menunjukkan peningkatan keterampilan masyarakat sebesar 90%, efisiensi produksi naik 25%, serta munculnya tiga produk inovatif baru. Dampak nyata terlihat pada meningkatnya kemandirian masyarakat dan peran aktif BUMDesa dalam pengelolaan usaha. Kegiatan ini juga sejalan dengan SDGs 1 dan 9 serta mendukung Asta Cita 3 melalui penguatan kompetensi masyarakat desa berbasis inovasi.
Co-Authors Agunawan, Agunawan Arfadilah Amir Aulyah Zakilah Ifani Eva Delilah Firman Aziz Fyan Wijaya Komputra Ahmadi Hamdana Jamaluddin Hikmah Manganni Imriani Idrus M. Maryadi Masyita Risna Muhammad Yassir Musdhalifah Yusran Muthi Syahidah Arifuddin Nurani Nurhaeda Nurhaeda Nurul Istiqamah Nuzul Tenriana Paula Eka Wijaya Raden Wirawan Zulfikar S