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All Journal Sistemasi: Jurnal Sistem Informasi JURIKOM (Jurnal Riset Komputer) Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of Information Systems and Informatics Jurnal Pengabdian Masyarakat Bumi Raflesia DEVOTE: Jurnal Pengabdian Masyarakat Global Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Journal of Computer Science and Information Technology Jurnal Pengabdian Masyarakat Ilmu Komputer
Yadi Utama
Universitas Sriwijaya
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Mapping the Distribution of Covid-19 Information using a Web-based Information System Ibrahim, Ali; Okllilas, Ahmad Fali; Azhar, Iman Saladin B.; Utama, Yadi; Zahran, Ahmad Hafizh
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i2.3773

Abstract

Based on information from several official government websites and national television media, at the beginning of November 2021, there was a decrease in the spread of the COVID-19 virus. At the end of November 2022, a new type of virus was discovered, namely SARS-CoV-2, also known as the Omicron variant, resulting in additional cases. Therefore, researchers conducted research with the aim of providing information about the spread of the virus with a mapping system down to the RT level, so that the public gets detailed and real-time information about the area based on mapping. The urgency of this research is that, with the results of this research, the public can take better care of and be able to provide self-awareness regarding health protocols. The public can have access to detailed information and mapping about the spread of the virus. This research adopts changes in the design science research methodology proposed by Hevner. The results of the research are an Information System for Mapping the Distribution of COVID-19 Cases and Their Danger Level with 5 calculation categories, namely class I with a range of 66–80 has very high danger level criteria, class II with a range of 51–65 has high danger level criteria, class III with a range of 36–50 has medium level criteria, class IV with a range of 36–50 has criteria for a low level of danger, and class V with a range of 5–20 has a very low level of danger.
Taxpayer Classification Using K-Means Clustering to Support CRM Strategy Development: Case Study of Prabumulih City Samsat Tammam, Bimmo Fathin; Ibrahim, Ali; Indah, Dwi Rosa; Oklilas, Ahmad Fali; Utama, Yadi
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1365

Abstract

Effective management of taxpayer data is crucial for enhancing compliance and optimizing regional revenue. This study addresses the limited use of data-driven taxpayer segmentation in local Samsat institutions by applying K-Means Clustering to support targeted Customer Relationship Management (CRM) strategies. A dataset of 3,999 motor vehicle taxpayer records from September 2025 was processed through feature selection, scaling, and clustering. The analysis identified three distinct taxpayer groups based on payment timeliness, compliance consistency, and vehicle age. Cluster validity was confirmed using the Davies-Bouldin Index, yielding a value of -41.327 for k = 3, supported by ANOVA for statistical significance. The findings highlight how clustering can reveal taxpayer behavior patterns, guiding personalized services and compliance programs. This study's novelty lies in integrating clustering outcomes with practical CRM strategies for public agencies, offering a data-driven approach to improve taxpayer engagement and regional revenue. However, the study is limited by its focus on a single-period dataset and vehicle-related attributes.
Pelatihan Learning Management System Berbasis E-Learning Bagi Guru Yang Tergabung Dalam MGMP IPS SMP Kabupaten Ogan Ilir Sumatra Selatan Ibrahim, Ali; Samsuryasi, Samsuryasi; Rifai, Ahmad; Utama, Yadi
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 2 No. 1 (2019): Jurnal Pengabdian Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

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Abstract

Kegiatan Pelatihan Learning Management System Berbasis E-Learning  Bagi Guru Yang Tergabung Dalam MGMP IPS SMP  Kabupaten Ogan Ilir Sumatra Selatan merupakan kegiatan atas permintaan dari MGMP melalui ketua MGMP untuk diadakan pelatihan. Kegiatan ini bertujuan untuk berbagi ilmu kepada guru-guru dalam hal membuat media ajar berbasis animasi dan di upload ke e-learning. Selain itu tujuan pembuatan media pembelajaran dengan berbasis animasi adalah supaya dapat menarik dan meningkatkan minat siswa dalam belajar dan memahami materi. Kegiatan pelatihan ini diikuti oleh kurang lebih ±20 peserta yang tersebar di SMP yang tergabung dalam SMP MGMP IPS Ogan Ilir. Alhamdulillah pelatihan ini dapat berjalan sesuai dengan harapan, hal ini dapat dilihat daru antusiasme peserta dalam mengikuti pelatihan. Dari hasil pengamatan dan hasil diskusi secara langsung pada saat pelatihan, terlihat bahwa peserta sangat senang mengikuti pelatihan, karena sesuai dengan pendapat beberapa peserta bahwa penggunaan metode ini merupakan cara yang sangat menarik dan mereka yakin akan dapat meningkatkan minat belajar siswa. Selama kegiatan pelatihan berlangsung, peserta dengan mudah dan dapat mengikuti pelatihan karena didukung dengan modul yang jelas dan detail, sehingga peserta dapat dengan mudah mencoba dan membuat bahan ajar dengan program animasi movie maker. Dari hasil pengamatan tim secara langsung sekitar 80 % peserta dinyatakan berhasil dengan baik, karena peserta sudah dapat mencoba sendiri pada saat di beri latihan. Sedangkan 20 % nya peserta masih melihat modul untuk membuat bahan ajar tersebut. Dari hasil diskusi dengan peserta, beberapa peserta menyampaikan bahwa setelah selesai dari pelatihan ini, mereka akan menyebarkan cara ini ke guru lain di masing-masing sekolah. Bahkan mereka berinisiatif untuk mengadakan pelatihan di sekolah mereka masing-masing.Kata Kunci: ICT, Moodel, Elearning, IPS
PELATIHAN PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS ICT GURU SMP/MTs YANG TERGABUNG MUSYAWARAH GURU MATA PELAJARAN (MGMP) KOTA PANGKALPINANG Ibrahim, Ali; Meiriza, Allsela; -, Fathoni; Utama, Yadi; Sanjaya, M. Rudi; Rezqe, Beriadi Agung Nur; Alzaini, Akbar
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 3 No. 1 (2020): Jurnal Pengabdian Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

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Abstract

Guru mata pelajaran dituntut untuk memiliki kemampuan professional yang sesuai dengan Standar Nasional Pendidikan, yaitu setiap guru harus memiliki kompetensi pedagogic, kepribadian, professional dan social. Pengembangan keempat kompetensi tersebut perlu terus dikembangkan, baik melalui pendidikan, pelatihan, maupun kerja kelompok atau organisasi profesi guru. Rendahnya hasil belajar siswa salah satunya disebabkan karena guru belum menggunakan media animasi dalam proses pembelajaran. Proses pembelajaran masih berlangsung secara konvensional, dimana aktivitas menulis lebih dominan dilakukan oleh guru dalam mengajar. Dengan pelatihan program Quipper School dapat meningkatkan keterampilan para guru dalam membuat media ajar berbasis multimedia. program Quipper School adalah platform sekolah digital tanpa biaya. Melalui platform ini, guru dapat mengirim dan mengelola materi pembelajaran, ujian, serta nilai siswa. Metode yang digunakan dalam pelatihan adalah dengan cara peragaran dan demontrasi program Quipper School. Dari hasil kuisiner setelah pelatihan 90 % peserta berhasil dalam membuat media ajar.
PELATIHAN DALAM PENGEMBANGAN MEDIA PEMBELAJARAN BERBASIS ICT UNTUK GURU SEKOLAH YAYASAN AZIZAH KOTA PALEMBANG DALAM MENDUKUNG PROSES PEMBELAJARAN PADA MASA PANDEMI COVID 19 Utama, Yadi; Ibrahim, Ali; Afrina, Mira; Rezqe, Beriadi Agung Nur; Kodri, Lay; Zhafiri, Muhammad Farisan; Islamiansyah, Wira; Yunus, Hedi; Zaini, Akbar Al
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 4 No. 3 (2021): Jurnal Pengabdian Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

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Abstract

Proses belajar mengajar di sekolah-sekolah tersebut secara umum telah berjalan dengan baik, tetapi rata-rata hasil belajar siswa masih tergolong rendah. Menurut informasi beberapa guru, rendahnya hasil belajar siswa salah satunya disebabkan karena guru belum memaksimalkan penggunaan media animasi dalam proses pembelajaran. Proses pembelajaran masih berlangsung secara konvensional, dimana aktivitas menulis lebih dominan dilakukan oleh guru dalam mengajar. Alasan utama mengapa para guru belum menggunakan media animasi dalam pembelajaran antara lain karena para guru belum mengerti, belum mamahami bagaimana cara membuat media ajar berbasis ICT dan animasi. Guru adalah pendidik profesional dengan tugas utama mendidik, mengajar, membimbing, mengarahkan, melatih, memberi teladan, menilai dan mengevaluasi peserta didik. Karena guru adalah SDM yang terdidik, potensi tersebut dapat ditingkatkan dengan meningkatkan pengetahuan dan pemahaman serta kemampuan guru dalam pengelolaan bidang computer.Kata Kunci: SDM, ICT, Movie maker
Evaluating Pinterest User Experience and Usability Using AttrakDiff and PLS-SEM Putri, Septhia Charenda; Ibrahim, Ali; Utama, Yadi; Ruskan, Endang Lestari; Fathoni, Fathoni
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1408

Abstract

The rapid development of visual platforms such as Pinterest necessitates a comprehensive understanding of how functional and emotional aspects jointly influence users’ perception and engagement. This research addresses the gap in user experience (UX) evaluation of visually rich applications by examining the effects of Pragmatic Quality, Hedonic Quality-Stimulation, and Hedonic Quality Identity on the perceived Attractiveness of the Pinterest application. A quantitative approach was employed using the 28-item AttrakDiff instrument, based on data collected from a final sample of 524 valid respondents, predominantly aged 18–25 years, and using Pinterest several times a week. The data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) with the aid of SmartPLS to examine the relationships among latent variables. The findings demonstrate that the structural model exhibits a high level of explanatory capability, with an R² value of 0.684. With all three UX dimensions exerting positive and statistically significant effects on Attractiveness. PQ shows the strongest influence (path coefficient = 0.457), followed by HQS (0.391) and HQI (0.112). These findings confirm that functional usability remains the primary driver of attractiveness on Pinterest, while hedonic qualities play a complementary role in enhancing user experience. Practically, this research suggests that designers and developers of visual platforms should prioritize efficient functionality while maintaining stimulating and identity-supporting elements to improve overall user appeal.
Penerapan BERT dalam Memetakan Opini Pengguna Instagram Terhadap Program Makan Bergizi Gratis Septiana, Rika Septiana; Ibrahim, Ali; Lestari, Endang; Utama, Yadi
JURNAL RISET KOMPUTER (JURIKOM) Vol. 13 No. 1 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i1.9397

Abstract

The Free Lunch Program is a new government initiative designed to improve students’ nutritional intake and enhance their focus during school activities. Its implementation has gained significant public attention, generating a variety of reactions across social media platforms, particularly Instagram. This study aims to examine public sentiment toward the program’s rollout in South Sumatra by collecting user comments from posts using the hashtag #mbgsumsel. The collected comments were processed through several stages, including data cleaning, text pre-processing, dataset partitioning, fine-tuning and model evaluation. The BERT model was employed due to its strong capability in capturing contextual meaning within text, making it more effective than conventional classification approaches. Experimental results indicate that the model achieved an akurasi of 88% in classifying sentiments. The test dataset consisted of 751 positive comments, 233 neutral comments, and 257 negative comments. Overall, this study provides a quantitative overview of how the public perceives the Free Lunch Program based on their social media expressions.
Co-Authors Abdiansah, Abdiansah Affandi, Azhar Kholiq Ahmad Fali Oklilas Ahmad Fali Oklilas Ahmad Rifai Al Farissi Ali Ibrahim Ali Ibrahim Allsela Meiriza, Allsela Alzaini, Akbar Anita Desiani Arhami, Muhammad Des Alwine Zayanti, Des Alwine Dhini Kurnia, Rizka Dwi Rosa Indah Endang Lestari Endang Lestari Ruskan Ermatita - Fathoni - Fathoni Fathoni Hardini Novianti Iman Saladin B. Azhar Irmeilyana Islamiansyah, Wira Kodri, Lay Mira Afrina Okllilas, Ahmad Fali Purwita Sari, Purwita Putri, Septhia Charenda Ramayanti, Indri Rezqe, Beriadi Agung Nur Ricy Firnando Rizka Dhini Kurnia Samsuryasi, Samsuryasi Sanjaya, M. Rudi Sasongko, Muhammad Aditya Savero, Muhammad Juan Septiana, Rika Septiana Tammam, Bimmo Fathin Thuraya, Zafira Wjaya, M.Aditya Yunus, Hedi Zahran, Ahmad Hafizh Zaini, Akbar Al Zhafiri, Muhammad Farisan