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All Journal Sainteks International Journal of Artificial Intelligence Research JURNAL ILMIAH INFORMATIKA Buletin Ilmiah Sarjana Teknik Elektro Journal of Robotics and Control (JRC) JATI (Jurnal Mahasiswa Teknik Informatika) Bubungan Tinggi: Jurnal Pengabdian Masyarakat Journal of Innovation Information Technology and Application (JINITA) Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) JPM: JURNAL PENGABDIAN MASYARAKAT Buletin Sistem Informasi dan Teknologi Islam PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Journal of Artificial Intelligence and Digital Business Journal of Software Engineering and Information System (SEIS) Journal of International Multidisciplinary Research IJMST Scientific Journal of Engineering Research Scientific: Journal of Computer Science and Informatics Scientific Journal of Computer Science Journix: Journal of Informatics and Computing
Wijaya, Setiawan Ardi
Universitas Muhammadiyah Riau
Aerospace Engineering Humanities Astronomy 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 Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Development of Interactive Multimedia Applications for Local Culture Awareness Ziad Iqbal, Muhammad; Firmansyah; Pratama, Yusuf Hendra; Wijaya, Setiawan Ardi
Indonesian Journal of Modern Science and Technology Vol. 1 No. 3 (2025): September
Publisher : CV. Abhinaya Indo Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64021/ijmst.1.3.71-77.2025

Abstract

Local culture is a valuable heritage that needs to be introduced and preserved, especially in the face of globalization, which causes younger generations to become increasingly disconnected from their cultural identity. This study aims to develop an interactive multimedia application based on Android as a tool for educating and introducing local culture to high school students. The Research and Development (R&D) method with the ADDIE approach (Analysis, Design, Development, Implementation, and Evaluation) was employed. The test subjects were 60 eleventh-grade students from a high school in West Java. The developed application, named BudiLokal, contains various cultural content, including traditional music, dance, folk tales, musical instruments, and interactive audio-visual quizzes. Evaluation was conducted using a usability questionnaire based on the System Usability Scale (SUS) and pre- and post-tests to measure improvements in student understanding. The research results indicated an average SUS score of 82 (excellent category) and a post-test score increase of 21.8 points compared to the pre-test (p < 0.001). Additionally, 88% of the respondents stated that the application made them more interested in learning about local culture. These findings support the multimedia learning theory, which suggests that presenting material through a combination of text, images, sound, and animation can significantly improve understanding and motivation to learn. This study recommends further development of the application by incorporating Augmented Reality (AR) and Virtual Reality (VR) features for a more immersive learning experience. The BudiLokal application has proven to be an innovative solution in cultural preservation through an adaptive educational approach aligned with technological advancements.
Perancangan Sistem Informasi Jual Beli Mobil Second Menggunakan Metode Waterfall Di PT. Oto Multiartha Ramadhan, Aziz Rizki; Pratama, Nanda Dean; Ada, Yosia; Fladea, Saskia Azki; Putri, Tia Refviani; Wijaya, Setiawan Ardi
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.5741

Abstract

Penelitian ini bertujuan untuk merancang sistem informasi jual beli mobil bekas berbasis website pada PT. Oto Multiartha yang selama ini masih menerapkan sistem pencatatan manual dalam pengelolaan data kendaraan, pelanggan, dan transaksi penjualan. Berdasarkan hasil observasi dan wawancara, ditemukan berbagai permasalahan, antara lain data yang mudah tercecer, kesulitan dalam pencarian informasi, keterbatasan promosi, serta proses penyusunan laporan penjualan yang tidak efisien dan tidak bersifat real-time. Kondisi tersebut berdampak pada rendahnya efektivitas operasional dan meningkatnya risiko kesalahan administrasi. Untuk mengatasi permasalahan tersebut, penelitian ini mengusulkan perancangan sistem informasi berbasis website dengan menggunakan metode pengembangan Waterfall. Metode ini dipilih karena memiliki tahapan yang sistematis dan terstruktur, sehingga sesuai dengan kebutuhan pengembangan sistem yang telah terdefinisi dengan jelas. Tahapan penelitian meliputi observasi, wawancara, pengumpulan data, analisis kebutuhan sistem, serta perancangan sistem menggunakan Unified Modeling Language (UML), yang terdiri dari use case diagram, activity diagram, sequence diagram, dan class diagram. Hasil perancangan menunjukkan bahwa sistem yang diusulkan mampu mengintegrasikan data kendaraan, data pelanggan, transaksi, serta laporan penjualan dalam satu basis data terpusat, sekaligus menyediakan fitur promosi digital melalui etalase mobil yang dapat diakses oleh pelanggan. Dengan adanya sistem informasi ini, diharapkan PT. Oto Multiartha dapat meningkatkan efisiensi kerja, akurasi pencatatan data, kualitas pelayanan kepada pelanggan, serta daya saing perusahaan dalam bisnis jual beli mobil bekas
Machine Learning 5.0 In-depth Analysis Trends in Classification Dianda Rifaldi; Tri Stiyo Famuji; Setiawan Ardi Wijaya; Ahmed Jaber Abougarair; Phichitphon Chotikunnan; Alfian Ma'arif; Furizal
Scientific Journal of Computer Science Vol. 1 No. 1 (2025): June
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjcs.v1i1.2025.18

Abstract

In the era of Technology 5.0 Machine Learning continues to show significant advancements across various sectors. This study aims to examine the latest trends in Machine Learning classification, focusing on four key approaches Explainable Artificial Intelligence, Federated Learning, Transfer Learning, and Generative Adversarial Networks. The methodology involves a comprehensive literature review of research in Asia and experimentation with related datasets. The findings indicate that Explainable Artificial Intelligence enhances transparency and accuracy in data classification, Federated Learning enables decentralized learning while safeguarding data privacy, Transfer Learning improves accuracy with small datasets, and Generative Adversarial Networks aids in data augmentation for better model training. In conclusion, these techniques not only enhance the efficiency and accuracy of classification but also open up new opportunities for innovation in various fields, including healthcare, transportation, and cybersecurity.
A Statistical Approach to Crime Rate Prediction Using Multiple Linear Regression Wijaya, Setiawan Ardi; Arribe, Edo; Muhitualdi
Scientific Journal of Computer Science Vol. 1 No. 2 (2025): December
Publisher : PT. Teknologi Futuristik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64539/sjcs.v1i2.2025.47

Abstract

The high crime rate in Riau Province poses a serious threat to social stability and public safety, requiring accurate prediction strategies to support crime prevention efforts. Based on data from the Central Statistics Agency (BPS), Riau ranked seventh among the provinces with the highest crime rates in Indonesia in 2022, indicating that conventional prevention efforts remain insufficient. However, studies applying statistical data-based prediction models to crime in Riau are still limited, creating a gap in data-driven decision making. This study aims to develop a crime rate prediction model in Riau Province using the Multiple Linear Regression (MLR) method with BPS crime data from 2019–2023. The independent variables include six types of crime: corruption, drug dealers, drug users, terrorism, illegal logging, and human trafficking, while the dependent variable is the total number of crimes per district or city. The research process involved data collection, understanding, preprocessing, application of linear regression algorithms, model training and testing, and evaluation using Mean Absolute Percentage Error (MAPE) and Root Mean Square Error (RMSE). The results show that Pekanbaru City recorded the highest number of cases, mostly related to drug crimes. The model predicts an increase in Pekanbaru’s cases from 3,331 in 2024 to 5,852 in 2027, while Dumai City is projected to decline from 543 to 397 cases. The model demonstrates high accuracy in most areas, particularly in Kampar (MAPE 0.28%), Siak (0.52%), and Rokan Hilir (0.94%), though less accurate in the Meranti Islands (565.99%) due to data instability. These findings prove that the Multiple Linear Regression method effectively predicts crime trends and can serve as a quantitative decision-making tool for law enforcement and local governments. Further research should include socioeconomic factors such as poverty and unemployment, and compare results with alternative forecasting methods like ARIMA and Exponential Smoothing to enhance prediction accuracy.
Security Analysis of XYZ Website Using OWASP Zap Tools Muhammad Amirul Mu&#039;min; Yana Safitri; Galih Pramuja Inngam Fanani; Setiawan Ardi Wijaya; Novi Tristanti
Journix: Journal of Informatics and Computing Vol. 1 No. 1 (2025): April
Publisher : Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/journix.v1i1.1

Abstract

In the growing digital era, website security is a critical aspect that must be considered. Vulnerabilities such as Cross-Site Scripting (XSS), Clickjacking, and Man-in-the-Middle can pose serious risks to data integrity and security. Therefore, effective tools are needed to identify and evaluate such vulnerabilities to prevent costly exploitation. This research aims to analyze security vulnerabilities on the website using OWASP ZAP (Zed Attack Proxy) as a penetration testing tool, and provide mitigation recommendations to improve system security. The method used is penetration testing by utilizing OWASP ZAP to identify security vulnerabilities on the website. The research stages include testing, analyzing the results, and preparing mitigation recommendations based on the findings of vulnerabilities such as A01, A03, and A04. The results showed that OWASP ZAP successfully identified various vulnerabilities, including XSS, Clickjacking, and Man-in-the-Middle. Recommended mitigation measures include configuring security headers and protecting sensitive data to prevent exploitation. OWASP ZAP proved to be effective in detecting and evaluating security vulnerabilities on websites. In addition, the tool also raises awareness of the importance of strong security policies. With the implementation of mitigation recommendations, website owners can better protect sensitive data, maintain user trust, and stay safe in an increasingly complex digital environment.
PERANCANG SISTEM INFORMASI PT NUSANTARAN ALUMUNIUM UNTUK SISTEM PEMESANAN DENGAN METODE RAPID APPLICATION DEVELOPMENT (RAD) Setiawan Ardi wijaya; Aliyah khalista putri; Muhammad Shafwannullah Abdul Aziz; Muhammad Wahyu Illahi; Helwina Putri Rahmadani; Angellina Nurul Qulbi Siburian; Rafif Syahril Nugraha
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 13 No. 1 (2026): Prosisko Vol. 13 No. 1 Maret 2026
Publisher : Pogram Studi Sistem Komputer Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/q57yqa22

Abstract

PT Nusantara Aluminium merupakan perusahaan distribusi bahan konstruksi aluminium yang berlokasi di Pekanbaru dan melayani berbagai segmen pelanggan dari sektor ritel hingga proyek menengah. Dalam operasionalnya, perusahaan masih mengandalkan sistem manual untuk pencatatan persediaan, transaksi penjualan, pemesanan produk, dan pengelolaan data pelanggan yang menimbulkan berbagai permasalahan operasional. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem informasi pemesanan berbasis web guna meningkatkan efisiensi dan akurasi pengelolaan bisnis. Metode penelitian yang digunakan adalah Rapid Application Development (RAD) yang mengutamakan kecepatan dalam proses pembuatan dan memungkinkan umpan balik langsung dari pengguna. Desain sistem dirancang menggunakan pendekatan Unified Modeling Language (UML) untuk mempermudah pengembangan dan pemahaman alur kerja sistem. Diagram UML yang digunakan meliputi use case diagram untuk menggambarkan interaksi antara aktor sistem, activity diagram untuk menjelaskan alur proses bisnis, sequence diagram untuk menunjukkan urutan interaksi antar objek, dan class diagram untuk merepresentasikan struktur data dan relasi antar entitas. Hasil penelitian menunjukkan bahwa sistem informasi yang dikembangkan mampu mengotomatisasi proses bisnis dan meningkatkan kinerja operasional perusahaan secara menyeluruh. Sistem ini berhasil mengatasi permasalahan keterlambatan dalam pengecekan persediaan, kesalahan pencatatan barang masuk dan keluar, serta ketidakefisienan dalam pengelolaan data pelanggan. Implementasi sistem informasi berbasis web ini memberikan solusi komprehensif untuk modernisasi proses bisnis di PT Nusantara Aluminium dan memperbaiki kualitas layanan kepada pelanggan.
Co-Authors Abdennasser, Dahmani Abdul Fadlil Abid Yanuar Badharudin Abraar, M. Said Ada, Yosia Agus Prasetyo Marsaid Ahmad Bukhari, Ahmad Ahmed Jaber Abougarair Al-Sabur, Raheem Alfian Ma’arif Aliyah khalista putri Angellina Nurul Qulbi Siburian Anton Yudhana Anton Yudhana Ariska Fitriyana Ningrum Aryanto Asno Azzawagama Firdaus Br Bangun, Elsi Titasari Brilianti Nafilah, Rizkiya Dahmani, Abdennasser Dianda Rifaldi Doni Winarso, Doni Driss, Zied Dwi Purnomo, Raka Edo Arribe, Edo Fanani, Galih Pramuja Inngam Fauzan, Al fana Fauzan, Wahyu Fazilla, Rahma Muti Firmansyah Firmansyah Fitri Anggraini Fladea, Saskia Azki Furizal Furizal, Furizal Gabriel Diemesor Galih Pramuja Inngam Fanani Gerry Julian Gunawan, Rahmad Hafsari, Rizka Hasanah, Rakyatul Hasanah, Zakiyah Helwina Putri Rahmadani Kariyamin, Kariyamin Laia, Ertin Mardiyanto, Silvia Marisa, Vania Mihardi, Hansen Muhammad Amirul Mu'min Muhammad Shafwannullah Abdul Aziz Muhammad Wahyu Illahi Muhitualdi Murni Murni Muzdhalifatul Ijfi, Inessthasia Nakib, Arman Mohammad Novi Tristanti Novi Tristanti Nurhikmayani, Nurhikmayani Phichitphon Chotikunnan Pratama, Dzaky Medlin Pratama, Nanda Dean Putera, Ardi Maulia Putri, Jossie Mutiarani Putri, Tia Refviani Rafif Syahril Nugraha Ramadhan, Aziz Rizki Rangga Alif Faresta Risnal Diansyah, Risnal Safuan, M. Chairil Sarohim, Nabil saskia, ananda Sharkawy, Abdel Nasser Sharkawy, Abdel-Nasser Silpandi, Dimas Sulistiani Sulistiani, Sulistiani Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Suwarno, Iswanto Syahril Syaputri, Qori Monica Tri Stiyo Famuji Tristanti, Novi TSABITAH, NAYLA Wahyu Ningsih, Dwi Putri Wide Mulyana Wiyrabawa Kainna Putra Rachman Yana Safitri Yana Safitri Yana Safitri, Yana Yusuf Hendra Pratama Zahran Ramdani, Ibnu Ziad Iqbal, Muhammad