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All Journal Jupiter Bulletin of Electrical Engineering and Informatics 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 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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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

Design of Digital Library Prototype Using The Design Thinking Method Haque, Miftahurrohmah; Indah, Dwi Rosa
Jurnal Riset Informatika Vol. 5 No. 1 (2022): December 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (879.075 KB) | DOI: 10.34288/jri.v5i1.168

Abstract

According to UNESCO (United Nations Educational, Scientific and Cultural Organization), Indonesian people’s reading literacy interest has a literacy percentage of 0.001%, which means that out of 1.000 people, only one person likes to read. The digital reading movement attracts people’s reading interest, especially with a digital library. Lahat District Library Service wants to re-establish a digital library that has been removed. By paying attention to usability and user experience, a digital library prototype design is carried out to develop the application to get user experience results with good success and satisfaction. The method used is Design Thinking, which aims to design usable and valuable solutions by focusing on user needs. The results of the usability testing analysis of the digital library prototype created using the User Experience Questionnaire (UEQ) get “Excellent” in six aspect categories: attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty.
DIGITAL INSTRUMENT FOR INFANT AND TODDLER MORTALITY REVIEW USING USER-CENTERED DESIGN METHOD Saputra, Royan Dwi; Heroza, Rahmat Izwan; Indah, Dwi Rosa; Meiriza, Allsela; Putra, Pacu; Ermatita, Ermatita
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (945.278 KB) | DOI: 10.34288/jri.v4i4.174

Abstract

Abstract The Infant Mortality and Toddler Mortality rates are still relatively high in Indonesia. Data from the South Sumatra Health Office shows a relatively high number of infant and toddler mortality cases in Banyuasin and Musi Banyuasin Regency, with about 68 and 51 cases in 2017. Through the Program Kerja Sama (PKS) of the family health directorate of the health ministry of the Republic of Indonesia and the Public Health Faculty of Sriwijaya University. Find problems related to the absence of instruments in digital form, which are useful for conducting studies on infant and under-five mortality problems in health facilities, which were expected to assist in recording and reporting the review process run more effectively and efficiently. This research uses the User-Centered Design (UCD) method because it optimizes the application prototype according to the needs and desires of the end-user, which in this case is the health worker in the Health Facilities in Banyuasin and Musi Banyuasin Regency. The UCD method phases include understanding the use context, specifying the user requirements, designing the solutions, and evaluating against requirements. The results of the study were that the average usability score was 94, meaning that this application's prototype has been made according to the needs and desires of end-users. Also, the prototype of this application is feasible to implement.
PELATIHAN PEMBUATAN DESAIN WEB DAN MEDIA PEMBELAJARAN INOVATIF M. Rudi Sanjaya; Dwi Rosa Indah; Annisa Khoiriah
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2025): Volume 6 No 3 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i3.44990

Abstract

Pengetahuan, pemahaman tentang sebuah tren teknologi masih kurang, sehingga perlunya pemahaman tren teknologi, supaya memudahkan proses dalam pembelajaran dengan pembelajaran yang inovatif, Teknologi adalah hasil dari penerapan ilmu pengetahuan untuk menciptakan alat, sistem, dan proses yang bertujuan mempermudah kehidupan manusia serta meningkatkan efisiensi dalam berbagai aspek. Dengan perkembangan yang pesat, teknologi telah menjadi fondasi utama dalam mendorong inovasi terutama dalam bidang Pendidikan, Adapun tujuan dari kegiatan ini menghasilkan atau dapat membuat desain web dan media pembelajaran yang inovatif,  metode pengabdian kepada Masyarakat dengan menggunakan metode pendampingan, sosialisasi. Adapun hasil kegiatan pengabdian pengabdian kepada masyarakat berupa pembuatan desain web dan pembuatan media pembelajaran inovatif Dimana 28 responden jika n-2 maka hasil 26 adalah 0.3739 dibulat menjadi 0.374 dengan signifikan 5%, hasil pengujian validitasnya adalah  0.561, 0.571, 0.519, 0.793, 0.646, 0.722, 0.422, 0,831, 0.570, 0.771 menunjukkan di atas 0.30 maka di nyatakan valid, sedangkan pada uji realibilitas di atas 0.70 maka dinyatakan reliabel.
PELATIHAN CANVA AI UNTUK MENINGKATKAN KUALITAS GURU DI SMA NEGERI 10 PALEMBANG M. Rudi Sanjaya; Annisa Khoiriah; Dwi Rosa Indah; Mgs. Afriyan Firdaus
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.
Allergen detection based on food packaged products for eczema patients using optical character recognition method Rini, Dian Palupi; Mardilah, Riska Tri; Rizqie, Muhammad Qurhanul; Indah, Dwi Rosa; Utami, Alvi Syahrini; Morgan, Jovanic
Bulletin of Electrical Engineering and Informatics Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i3.9739

Abstract

Eczema, also known as dermatitis, is a chronic skin condition that causes recurring episodes of dry and itchy skin. It can be managed through medication and by avoiding triggers like stress and certain foods. To help patients avoid food-related triggers, researchers conducted a study to detect allergenic food compositions in packaged products using optical character recognition (OCR) techniques, specifically open computer vision (OpenCV) and Tesseract. The study involved analyzing 120 images of food labels. The process included several steps: preprocessing the images by converting them to a text-friendly format (gray scaling, denoising, and thresholding), using Tesseract for text detection, followed by case folding and tokenization. The results showed that the system achieved an average text detection accuracy of 61.88% and an average allergen detection accuracy of 83.06%. The highest accuracy for text detection was 78.52%, and the highest accuracy for allergen detection was 100%. These findings suggest that OCR techniques can be a useful tool for helping eczema patients manage their diet and minimize flare-ups.
Penerapan Random Forest dan XGBoost untuk Analisis Sentimen pada Ulasan Aplikasi M-Pajak Cherliana; M. Rudi Sanjaya; Dwi Rosa Indah; Dedy Kurniawan
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3370

Abstract

This study aims to evaluate the quality of digital tax services by analyzing the sentiment expressed in user reviews of the M-Pajak app. A dataset of 6,829 reviews was classified into negative, neutral, and positive sentiment, and the study tested the performance of the Random Forest and XGBoost algorithms. Although the test results showed high accuracy rates of 85.21% in the hold-out validation scheme and 90.14% in stratified k-fold cross-validation, an in-depth evaluation using a confusion matrix revealed significant model bias toward the majority class. Key findings indicate that these accuracy figures are misleading because both models completely failed to classify the neutral class, yielding extremely low F1-scores (0.00–0.11). This phenomenon confirms that the primary issue lies not in algorithm selection, but in the extreme data distribution imbalance and the ambiguity of rating-based labeling. The scientific contribution of this research lies in demonstrating that the evaluation of sentiment classification systems must go beyond conventional accuracy metrics. By prioritizing performance stability across each class, the resulting system is expected to provide fairer and more objective evaluation results for public data.
Analisis Sentimen Ulasan Pengguna Pada Aplikasi m.tix – XXI Di Google Play Store Menggunakan Metode Decision Tree Dan Support Vector Machine (SVM) Rahma Ardhia Cahyani; M. Rudi Sanjaya; Dwi Rosa Indah; Dedy Kurniawan
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3371

Abstract

This study aims to analyze review sentiment and compare the performance of the Decision Tree and Support Vector Machine (SVM) algorithms on a dataset of 14,000 reviews from the m.tix – XXI app, which were classified as 57.4% positive, 33.8% negative, and 8.8% neutral. Through the pre-processing stage, 200 data points were deemed invalid, leaving 13,800 data points suitable for analysis. The dataset was then split into two categories: 80% training data (11,040 reviews) and 20% testing data (2,760 reviews), to support more accurate model performance measurement. The main contribution of this study lies in identifying the advantages of SVM in handling review data, with evaluation results showing that SVM achieved an accuracy of 86%. This is evidenced by the significant superiority of SVM’s F1-score across all categories, particularly for positive sentiment (0.93), negative sentiment (0.80), and neutral sentiment (0.08) compared to the Decision Tree’s accuracy of 83%, with F1-scores of 0.92 for positive sentiment, 0.73 for negative sentiment, and 0.03 for neutral sentiment. This research can be utilized by m.tix-XXI management as a foundation for evaluating and improving the quality of the m.tix-XXI application’s services.
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 Alvi Syahrini Utami Alvionita, Vinna Andhika Setiadi Anna Dwi Marjusalinah Annisa Khoiriah Apriansyah Putra Ari Wedhasmara Ariani, Ardina Ariansyah Saputra Arrijal Ismail, Ahmad Arwin Permata Putra Astriani, Yulia Athalina, Ghita Athalina, Githa Bayu Wijaya Putra Cherliana 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 Dian Palupi Rini 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 Haque, Miftahurrohmah Hardini Novianti Haristina Putri, Maulida Harlili Harlili Hasbiallah, Muhammad Jidan Huda Ubaya Huda Ubaya Imran, Athallah Yasyfi Indri Dwi Damayanti Izzatul Maula, Nurly Jaidan Jauhari Jayawarsa, A.A. Ketut Karlina, Devi Ken Dhita Tania Liana Andini, Rahmah Lufiah, Fara M HUSNI SYAHBANI, M HUSNI M. Rudi Sanjaya M. Rudi Sanjaya Mardilah, Riska Tri MARIA BINTANG Megah Mulya Merlin, Chalia Meylani Utari Mgs Afriyan Firdaus Mgs Afriyan Firdaus MGS. Afriayan Firdaus Mira Afrina Morgan, Jovanic Moses Rinaldy Muhammad Fandra Eka Pratama Muhammad Qurhanul Rizqie 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 Ardhia Cahyani Rahma Destriani Rahma, Syabilla Mutia Rahman, Fachri Auliya Rahmat Alif Akbari Rahmat Izwan Heroza 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 Saputra, Royan Dwi 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