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All Journal Jurnal Masyarakat Informatika Jupiter JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Informatika Jurnal Informatika Jurnas Nasional Teknologi dan Sistem Informasi ICON-CSE Annual Research Seminar Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) INTECOMS: Journal of Information Technology and Computer Science Jurnal ULTIMA InfoSys Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Riset Informatika JOISIE (Journal Of Information Systems And Informatics Engineering) CCIT (Creative Communication and Innovative Technology) Journal Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Journal of Information Systems and Informatics JUKANTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Tekinkom (Teknik Informasi dan Komputer) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Journal of Applied Science, Engineering, Technology, and Education Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Generic Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Aptekmas : Jurnal Pengabdian Kepada Masyarakat Jurnal Algoritma Journal Of Artificial Intelligence And Software Engineering The Indonesian Journal of Computer Science INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Dwi Rosa Indah
Universitas Sriwijaya
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Penerapan artificial intelligence media desain website pembelajaran inovatif Sanjaya, M. Rudi; Ruskan, Endang Lestari; Indah, Dwi Rosa; Putra, Bayu Wijaya; Afif, Hasnan; Seprina, Iin; Faiq, Al Iksan; Wijayanto, Muhammad Ravi; Imran, Athallah Yasyfi; Danendra, Muhammad Archi Daffa; Rachmad, M. Ichsan Farel
Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Vol. 7 No. 1 (2026)
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jp2m.v7i1.24377

Abstract

Program Kreativitas Mahasiswa (PKM) ini bertujuan untuk meningkatkan kompetensi digital guru melalui penerapan teknologi Artificial Intelligence (AI) dalam desain website sekolah dan pengembangan media pembelajaran inovatif di SMA Negeri 10 Palembang.  Kegiatan ini dilatarbelakangi oleh kebutuhan guru untuk beradaptasi dengan era pembelajaran digital yang menuntut keahlian, kreativitas, efisiensi, dan interaktivitas tinggi. Metode pengabdian kepada masyarakat menggunakan pendampingan, pelatihan, praktik, diskusi. Melalui pelatihan berbasis praktik, guru dibimbing menggunakan AI dalam pembuatan desain website sekolah yang dinamis serta pengembangan media pembelajaran interaktif seperti pembuatan media pembelajaran aplikasi Gamma, ChatGPT, Wix Studio, Web Flow.  Hasil kegiatan di ukur dan di evauasi menggunakan test pre test dan post test dimana hasil tersebut menunjukkan peningkatan kemampuan guru dalam mengintegrasikan teknologi AI (ChatGPT, Gamma, Wix Studio, Web Flow) pada proses pembelajaran inovatif, kreatif, kolaboratif, dan berorientasi teknologi di  SMA Negeri 10 Palembang. sekolah SMA N 10 Palembang . Program ini berkontribusi nyata dalam mendorong transformasi digital pendidikan serta memperkuat peran guru di SMA Negeri 10 Palembang sebagai inovator dalam lingkungan belajar yang modern dan adaptif yang berbasis teknologi digital.
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.
Analisis Perhatian Visual dan Usability Pada Tampilan Website Gramedia Digital Menggunakan Metode Eye tracking Tsabitah, Laila; Indah, Dwi Rosa; Firdaus, Mgs Afriyan; Lestari, Endang; Gumay, Naretha Kawadha Pasemah
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.3073

Abstract

The Gramedia Digital website, a digital reading service platform, has been identified as facing usability challenges and visual clarity issues that may hinder efficiency and user experience. Therefore, this study integrates two methods—Eye Tracking using RealEye.io and Usability Testing through Maze.co—to comprehensively evaluate the interface and user interactions. The evaluations conducted via RealEye.io and Maze.co involved five participants who were asked to complete three primary tasks: logging in, browsing book categories, and performing checkout. The results indicate that in Task 1 (Login), the visual focus of all participants was well-directed toward the input fields and action buttons. The usability test showed an average completion time of 15.1 seconds, a misclick rate of 16.7%, and a usability score of 97. In Task 2 (Browsing Book Categories), users’ visual attention was efficiently distributed from the navigation menu to the list of books, with a usability score of 91 and a low misclick rate. Conversely, Task 3 (Checkout) revealed significant challenges, as most participants struggled to locate the “Free Content” menu, resulting in a 67% misclick rate, 40% off-path behavior, and the lowest usability score (59). By combining Eye Tracking and Usability Testing, this study successfully provides a comprehensive overview of users’ visual attention patterns as well as the effectiveness and efficiency of their interactions with the interface.
Penerapan Metode Smart pada Sistem Pendukung Keputusan Pemilihan Ustadz Terbaik Rumah Tahfidz Al-Firdaus Rachmad, Muhammad Ichsan Farel; Sanjaya, M. Rudi; Wijaya Putra, Bayu; Indah, Dwi Rosa
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.3089

Abstract

This study aims to develop a decision support system for selecting the best ustadz by applying the SMART (Simple Multi Attribute Rating Technique) method at Rumah Tahfidz Al-Firdaus Banyuasin. The institution faces challenges due to the absence of a formal procedure for objectively and measurably identifying outstanding instructors. The SMART method is employed because it enables transparent decision-making through systematic calculations based on predefined weights and parameters. The research adopts the Waterfall development model, which includes requirement analysis, design, implementation, testing, and maintenance phases. The evaluation parameters include attendance level, frequency of lateness, professional behavior, teaching techniques, team collaboration, and guidance in memorizing the Qur’an. This study contributes to the development of decision support systems in tahfidz institutions by adapting the SMART method to assessment criteria specific to Qur’anic learning. The findings show that the application developed is capable of assisting management in objectively measuring and determining the best ustadz, while also simplifying the performance evaluation process. Black-box testing confirms that all system features operate in accordance with the initial design, and the SMART calculation output successfully generates an automatic ranking of the top instructors. The presence of this system makes the assessment process more efficient, accurate, and sustainable, thereby supporting the improvement of teaching quality in Qur’an-based educational institutions.
The Influence of Experience-Centric IT Governance on Digital Ethics Perception in Social Commerce Gumay, Naretha Kawadha Pasemah; Afrina, Mira; Indah, Dwi Rosa; Sari, Winda Kurnia; Sartika, Widya
SISTEMASI Vol 15, No 1 (2026): 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.v15i1.5750

Abstract

PELATIHAN CANVA AI UNTUK MENINGKATKAN KUALITAS GURU DI SMA NEGERI 10 PALEMBANG Sanjaya, M. Rudi; Khoiriah, Annisa; Indah, Dwi Rosa; Firdaus, Mgs. Afriyan
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 7 No. 1 (2026): Vol. 7 No. 1 Tahun 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v7i1.54247

Abstract

Perkembangan teknologi kecerdasan buatan Artificial Intelligence telah membawa perubahan signifikan dalam dunia pendidikan, khususnya dalam pengembangan media pembelajaran digital. Namun, masih banyak guru yang belum memanfaatkan teknologi AI secara optimal dalam proses pembelajaran. Program Kreativitas Mahasiswa (PKM) ini bertujuan untuk meningkatkan kualitas dan kompetensi guru di SMA Negeri 10 Palembang melalui pelatihan pemanfaatan Canva AI sebagai alat bantu pembuatan media pembelajaran yang inovatif, interaktif, dan efektif. Metode pelaksanaan kegiatan meliputi tahap persiapan, pelatihan, pendampingan, serta evaluasi. Pelatihan dilaksanakan secara langsung dengan memberikan materi pengenalan Canva AI, praktik pembuatan desain pembelajaran berbasis AI, serta pendampingan dalam penerapan hasil desain ke dalam kegiatan belajar mengajar. Evaluasi dilakukan melalui observasi, kuesioner, dan analisis hasil karya guru sebelum dan sesudah pelatihan. Hasil kegiatan menunjukkan adanya peningkatan pemahaman dan keterampilan guru dalam memanfaatkan Canva AI, yang ditandai dengan meningkatnya kualitas media pembelajaran yang lebih kreatif dan menarik. Dengan demikian, pelatihan Canva AI diharapkan mampu mendukung peningkatan profesionalisme guru serta berkontribusi pada terciptanya proses pembelajaran yang lebih adaptif terhadap perkembangan teknologi digital.
Aspect-Based Sentiment Analysis on Nickel Mining Activities in Raja Ampat to Support Sustainable Development Goals Karima, Dzakiah Aulia; Indah, Dwi Rosa; Firdaus, Mgs Afriyan; Sanjaya, M Rudi; Hartono Cahyadi, Gabriel Ekoputra
Jurnal Masyarakat Informatika Vol 17, No 1 (2026): May 2026 (Ongoing)
Publisher : Department of Informatics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jmasif.17.1.77146

Abstract

Nickel mining in Raja Ampat has triggered significant public reaction, particularly on social media, due to its environmental and social impacts. However, public opinion on this issue has not been systematically analyzed. This study aims to examine public sentiment toward this issue using the Aspect-Based Sentiment Analysis (ABSA) approach with four classification algorithms: Support Vector Machine, K-Nearest Neighbor, Naïve Bayes, and Random Forest, all optimized through the Particle Swarm Optimization (PSO) method. Data was collected from X between June 1 and June 30, 2025, and analyzed based on three main aspects, namely environmental, social, and economic, with a total of 4,025 datasets. The analysis shows that negative sentiment dominates over positive sentiment, with the environmental aspect being the main focus, especially regarding coral reef damage and marine pollution. Among the four models used, the optimized Support Vector Machine algorithm achieved the highest performance with an accuracy of 87.5%. These findings are expected to serve as an evaluation for the government regarding mining permits to formulate policies that support the achievement of SDG 14 (Life Below Water) and SDG 15 (Life on Land).
Co-Authors Afif, Hasnan Afriyan Firdaus Ahmad Fali Oklilas Akbari, Rahmat Alif Alghifari, M Yasir Ali Ibrahim Ali Ibrahim Alif, Rahmat Aliyah, Raden Ayu Alfirah Allsela Meiriza, Allsela Alvionita, Vinna Andhika Setiadi Anna Dwi Marjusalinah Apriansyah Putra Ari Wedhasmara Ariani, Ardina Ariansyah Saputra Arrijal Ismail, Ahmad Arwin Permata Putra Astriani, Yulia Athalina, Ghita Athalina, Githa Bayu Wijaya Putra Choirunnisa Qonitah Corriny, Nety Damayanti, Indri Dwi Danendra, Muhammad Archi Daffa Danny Matthew Saputra dedi kurniawan Dedy Kurniawan Devi Indra Meytri Devi Karlina Dhilarofii Russandwi, Saras Endang Lestari Endang Lestari Ruskam Endang Lestari Ruskan Endang Lestari Ruskan Ermatita - Errissya Rasywir Faiq, Al Iksan Fatimah Azzahrah Fatinah, Fitriasari Felicia, Yohana Firdaus, Masagus Afriyan Firman Wijaya Fitri Wulandari Gumay, Naretha Kawadha Pasema Gumay, Naretha Kawadha Pasemah Hardini Novianti Haristina Putri, Maulida Harlili Harlili Hartono Cahyadi, Gabriel Ekoputra Hasbiallah, Muhammad Jidan Huda Ubaya Huda Ubaya Imran, Athallah Yasyfi Indri Dwi Damayanti Izzatul Maula, Nurly Jaidan Jauhari Jayawarsa, A.A. Ketut Karima, Dzakiah Aulia Karlina, Devi Ken Dhita Tania Khoiriah, Annisa Liana Andini, Rahmah Lufiah, Fara M HUSNI SYAHBANI, M HUSNI M. Rudi Sanjaya MARIA BINTANG Megah Mulya Merlin, Chalia Meylani Utari Mgs Afriyan Firdaus Mgs Afriyan Firdaus MGS. Afriayan Firdaus Miftahurrohmah Haque Mira Afrina Moses Rinaldy Muhammad Fandra Eka Pratama Muhammad Raihan Udda Rahmany Mutia Farahdilla Novitas Sari Nugroho, Doni Tri Nurfadillah, Nadya Oktadini, Nabila Rizky Pacu Putra Perdianza, Muhammad Egi Pratama, Muhammad Fandra Eka Purwita Sari Purwita Sari, Purwita Putra, Julian Putri Eka Sevtiyuni Putri Ratna Sari, Putri Ratna Putri, Indah Arsita Rachmad, M. Ichsan Farel Rachmad, Muhammad Ichsan Farel Rafliandi Ardana Rahma Destriani Rahma, Syabilla Mutia Rahman, Fachri Auliya Rahmat Alif Akbari Rahmat Izwan Heroza Rahmayuni, Septa Ramadhini, Reffina Ricy Firnando Riski, M. Rido Rizka Dhini Rizka Dhini Kurnia Royan Dwi Saputra Rusdi Rivaldo Sabrina, Dea Fitri Samsuryadi Samsuryadi Sanjaya , M. Rudi Sanjaya, M Rudi Sanjaya, M. Rudi Saputra, Danny Matthew Saras Dhilarofii Russandwi Sartika, Widya Seprina, Iin Septamuyassar, Nawfal Siti Nurhanifah Syahbani, M. Husni Syahnel, Ahmad Hidayat Tammam, Bimmo Fathin Thuraya, Zafira Trimaysella, Anne Tsabitah, Laila Vinna Alvionita Wijaya Putra, Bayu Wijaya, Firman Wijayanto, Muhammad Ravi Winda Kurnia Sari Windy Indrianti Wiwik Handayani Yadi Utama Yadi Utama Yanto, Dimas Hadi Yudha Pratomo Yunita Yunita Zahirah, Nabilah