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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming JATI (Jurnal Mahasiswa Teknik Informatika) Melek IT: Information Technology Journal Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan eProceedings of Engineering Jurnal Abdimastek (Pengabdian Masyarakat Berbasis Teknologi) Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Edu Komputika Journal IJCOSIN : Indonesian Journal of Community Service and Innovation Governance IT Adoption and Technology Advance
Mahazam Afrad
Telkom University
Religion Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Public Health Other

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DIGITALISASI RANTAI PASOK PAKAN MANDIRI BERBASIS ARTIFICIAL INTELLIGENCE UNTUK OPTIMALISASI DISTRIBUSI MAGGOT PADA PETERNAK AYAM PETELUR DI DESA CIKAKAK Mahazam Afrad; M. Yoka Fathoni; Arif Riyandi; Alfin Hikmaturokhman; Tanzil Aziim; Maghda Luqyana; Rindi Indah Lestari; Citra Kumala Dewi
Jurnal Pengabdian Masyarakat Berbasis Teknologi Vol 7 No 01 (2026): Volume 7, Nomor 1, Mei 2026
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tingginya biaya pakan komersial serta belum optimalnya pengelolaan dan distribusi maggot menjadi kendala dalam pengembangan pakan mandiri bagi peternak ayam petelur di Desa Cikakak. Program pengabdian masyarakat ini dilaksanakan untuk mendukung digitalisasi rantai pasok maggot melalui implementasi sistem MaggotChain. Kegiatan dilakukan melalui tahapan identifikasi permasalahan, perumusan solusi, penerapan sistem, pelatihan kepada masyarakat, serta evaluasi menggunakan kuesioner. Sistem digital berhasil diterapkan sebagai media pengelolaan stok, distribusi, dan pemantauan maggot sehingga memudahkan koordinasi antara pemasok dan peternak. Hasil evaluasi menunjukan bahwa 94% tanggapan peserta berada pada kategori setuju dan sangat setuju, yang menunjukkan bahwa program telah diterima dengan baik serta sesuai dengan kebutuhan masyarakat. Program ini diharapkan dapat mendukung pengelolaan rantai pasok maggot yang lebih efektif dan berkelanjutan di Desa Cikakak
Sentiment Analysis of Pertamax on Social Media and MyPertaminta Data Using the IndoBert Algorithm Dzulfan Yumna Azis; Anthony Dewantoro; Kumara Galan Pramana; Mahazam Afrad; Hari Widi Utomo
Governance IT Adoption and Technology Advance Vol. 1 No. 2 (2026)
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/govita.v1i2.11679

Abstract

The rapid growth of digital services in Indonesia has accelerated the adoption of online platforms for fuel distribution through the MyPertamina application developed by PT Pertamina. Public responses toward the application and related fuel distribution policies are widely expressed through social media and application reviews. This study aims to analyze public sentiment toward MyPertamina using multi-platform data collected from Google Play Store, Instagram, and Twitter. The research employed a Natural Language Processing approach using the Transformer-based IndoBERT model. The methodology included data collection, data integration, text preprocessing, sentiment labeling, model fine-tuning, performance evaluation, and result visualization. The collected textual data were classified into positive and negative sentiment categories to represent public opinion. Experimental results showed that IndoBERT achieved an accuracy of 92.04%, with balanced precision, recall, and F1-score values. These findings demonstrate that IndoBERT effectively handles unstructured and informal Indonesian text from multiple digital platforms. Overall, integrating multi-platform data with IndoBERT-based sentiment analysis provides comprehensive insights into public perceptions of MyPertamina and supports strategic decisions. Future studies should expand data sources, increase dataset size, compare additional Transformer models, and evaluate broader sentiment patterns across diverse digital environments effectively.
Co-Authors Adanti Wido Paramadini Ajeng Dyah Kurniawati Akmal Zain Musyaffa Alfin Hikmaturokhman Anthony Dewantoro Arif Riyandi Arjun Kurniawan, Muhammad Baroatuz Zukhruf Al Jatsiyah Citra Kumala Dewi Clearesta Rachel Indah Dany Candra Febrianto Dasril Aldo Dzulfan Yumna Azis Evan Nicholas, Erick Fathan, Faizal Burhani Ulil Fikra Titan Syifa Fikra Titan Syifa Fitriani, Maulida Ayu Ghifara Fawazia Hari Widi Utomo Ilwan Syafrinal Khadija, Mutiara Auliya Khairun Nisa Meiah Ngafidin Kumara Galan Pramana Lina Fatimah Lishobrina M Yoka Fathoni M. Yoka Fathoni Maghda Luqyana Mahya Mafaza, Vicky Maulana, Ihsan Muhamad Awiet Wiedanto Prasetyo Muhammad Asbi Ramadhan Muljono Muljono Namira Shifwah Kumandani Pujiono Pujiono Rachel Nathasia Dewi Restu Saputra, Wildan Rindi Indah Lestari Sandhy Fernandez Sapta Eka Putra Seachhing Chhoun Sena Wijayanto Sipho Samuel Damanik, Geordy Sisilia Thya Safitri Sulaeman, Gilang Tanzil Aziim Toni Anwar Veronica Pinkan Rosari Yasin, Feri Yogo Dwi Prasetyo