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All Journal Jupiter Teika JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Algoritma Annual Research Seminar Journal of Information System JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Information System for Educators and Professionals : Journal of Information System The IJICS (International Journal of Informatics and Computer Science) IJISCS (International Journal Of Information System and Computer Science) Building of Informatics, Technology and Science Jusikom: Jurnal Sistem Informasi Ilmu Komputer TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Teknomatika (Jurnal Teknologi dan Informatika) Jurnal Generic Jurnal Puan Indonesia Jurnal Algoritma Jurnal Abdimas Maduma Journal Of Artificial Intelligence And Software Engineering SmartComp INTERNAL (Information System Journal) The Indonesian Journal of Computer Science INOVTEK Polbeng - Seri Informatika IJISCS (International Journal of Information System and Computer Science)
Endang Lestari Ruskan
Jurusan Sistem Informasi, Universitas Sriwijaya
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Sentiment Analysis Aplikasi Mobile TIX ID di Playstore Menggunakan Algoritma Random Forest Ramadhini, Reffina; Sanjaya, M Rudi; Ruskan, Endang Lestari; Indah, Dwi Rosa
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7361

Abstract

TIX ID is one of the e-ticketing entertainment platforms for film orders that has experienced a rapid surge in Indonesia. The various features offered by the TIX ID application must of course be able to meet user expectations in order to compete in the market. The influence of reviews provided by users has a very important impact on the reputation of an application, whether it is positive reviews in the form of text and then processed into negative review information. Sentiment analysis is a study used in analyzing a review or perspective whose final result is in the form of positive or negative text information. The research that has been carried out using the Random Forest algorithm has succeeded in collecting review data of 2000 samples labeled positive and negative. Random Forest modeling in the study used the evaluation of the confusion matrix model and classification report which managed to achieve an accuracy of 87%, performance in the negative class showed high precision of 85%, negative recall rate of 92%, and f1-score of 88%. Then in the positf precision class reached 91%, recall was 83%, and f1-score was 87%. While the macro average and weighted average values for all metrics were 88%, indicating a balance of classification performance among the classes. Overall, the application of the Random Forest algorithm model provides accurate results and makes sentiment analysis a tool that helps developers understand user satisfaction and needs on the TIX ID application.
Rancang Bangun Aplikasi Sistem Antrian Tamu untuk Mendukung Efektifitas Lahan Parkir Berbasis Online Hanifah, Izzati Millah; Ruskan, Endang Lestari
Jurnal Algoritma Vol 20 No 2 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-2.1423

Abstract

Guest visits to various government agencies are a common activity. The South Sumatra Provincial Health Service also experienced something similar, where this visit involved various activities such as meetings, hearings, consultations, reporting, and so on. However, with the high frequency of guest visits, various challenges arise, such as employees not being able to determine visit schedules and guests being unable to predict the level of crowds, making it difficult to find a parking space. Several hospitals, such as RSIA Hermina Palembang and Muhammadiyah Hospital Palembang, have implemented a guest visit management system. These systems focus on making patient registration and outpatient administration easier so that there is no more queuing. However, the difference in the problem between the South Sumatra Provincial Health Service and RSIA Hermina and Palembang Muhammadiyah Hospital is the focus on proper scheduling of employees and avoiding accumulation of parking spaces for guests. The right method to overcome this problem is to apply the Rapid Application Development (RAD) methodology, which consists of three stages, namely Requirement Planning, Design, and Implementation. This method involves data collection and analysis which includes literature study, observation, interviews, and filling out questionnaires before designing the system. By using this methodology, we will produce a system that can provide information about the correct guest appointment schedule and avoid accumulation of parking lots by limiting the number of guests arriving at the same time.
Comparison of SVM and Naive Bayes Algorithms in Sentiment Analysis of User Reviews on Bukalapak Alghifari, M Yasir; Sanjaya, M. Rudi; Dwi Rosa Indah; Ruskan, Endang Lestari
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/dqhpkb12

Abstract

Indonesia’s rapid e-commerce growth has produced a vast volume of user reviews, yet their use for insight extraction remains limited—particularly for the Bukalapak platform. This study compares the performance of Naïve Bayes and Support Vector Machine for sentiment classification on 10,000 Bukalapak reviews. The workflow includes text preprocessing (cleaning, case folding, tokenization, stopword removal, and stemming) and feature extraction using Term Frequency–Inverse Document Frequency (TF-IDF; max_features = 10,000). Evaluation employs 10-fold cross-validation with accuracy, precision, recall, and F1-score, complemented by a paired t-test for significance. Results show SVM outperforming NB (accuracy 84.48% vs. 83.96%; F1 0.8253 vs. 0.8205) with better consistency (standard deviation ±1.08% vs. ±1.24%). The t-test confirms a significant difference (p = 0.019), with SVM’s advantage most evident for the negative class (precision 0.80 vs. 0.78). Both models underperform on the neutral class due to severe class imbalance. These findings provide empirical evidence for algorithm selection in Indonesian e-commerce sentiment analysis and open avenues for future research using deep learning and class-imbalance handling techniques.
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.
Co-Authors . Apriansyah AA Sudharmawan, AA Afif, Hasnan Ahmad Fali Oklilas Ahmad Rifai Al Farissi Alghifari, M Yasir Ali Ibrahim Ali Ibrahim Allsela Meiriza, Allsela Alvi Syahrini Utami Alvi Syahrini Utami Anggraini, Febrina Hedy Apriansyah Putra Ariani, Ardina Athalina, Githa Aulia Zulfia Bayu Wijaya Putra Danendra, Muhammad Archi Daffa Dedy Kurniawan Deris Stiawan Dian Palupi Rini Dian Palupi Rini Dian Palupi Rini Dwi Citra Hartini Dwi Rosa Indah Ermatita - Faiq, Al Iksan Fathonah, Mutiara Fathoni - Fatimah Salsabila Fitriani, Lesa Gumay, Naretha Kawadha Pasemah Hanifah, Izzati Millah Imran, Athallah Yasyfi Ismail, Ahmad Arrijal Julian Supardi Karisa Anjani Fakhri Kurniawati, Junia Larasati, Ratu Aprilia Marjusalinah, Anna D. Maula, Nurly Izzatul Meitiana Audya Mgs Afriyan Firdaus Mira Afrina Muhamad Edric Rasyid Nesya Leidy Azzura Nyimas Sriwihajriyah Oktadini, Nabila Rizky Pacu Putra Perdani, Tharisa Antya Purwita Sari, Purwita Putri Eka Sevtiyuni Rachmad, M. Ichsan Farel Rahmat Izwan Heroza Ramadhini, Reffina Resita Oktaviani Rido Zulfahmi Rizka Dhini Kurnia Rizka Dhini Kurnia Rizka Dhini Kurnia Rudi Sanjaya Rusdi Efendi Sanjaya, M Rudi Sanjaya, M. Rudi Seprina, Iin Sevtiyuni, Putri Eka Syahnel, Ahmad Hidayat Utami, Putri Ela Citra Wahyu Agung Prasojo Wijayanto, Muhammad Ravi Yudha Pratomo Zefta Adetya