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All Journal JOIV : International Journal on Informatics Visualization JURNAL ILMIAH INFORMATIKA Warta Pengabdian Jurnal Informatika Universitas Pamulang MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal ICT : Information Communication & Technology JISKa (Jurnal Informatika Sunan Kalijaga) JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Journal of Innovation Information Technology and Application (JINITA) Innovation in Research of Informatics (INNOVATICS) Informatics and Digital Expert (INDEX) Jurnal Pengabdian Masyarakat untuk Negeri (UN-PENMAS) Ilmu Komputer untuk Masyarakat Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) International Journal of Informatics and Computing
Rizal, Randi
Informatika, Universitas Siliwangi, Tasikmalaya
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Arsitektur Microservice untuk Optimalisasi Aplikasi Eco-Maps dalam Mendukung Kampus Ramah Lingkungan Rahmatulloh, Alam; Gunawan, Rohmat; Rizal, Randi
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 10 No. 3 (2025): September 2025
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiska.2025.10.3.341-350

Abstract

The implementation of environmentally friendly campus concepts has become increasingly crucial in addressing global environmental challenges. Eco-Maps is an application designed to visualize and manage sustainability efforts on campus, including energy management, waste management, and sustainable transportation initiatives. To enhance efficiency and flexibility, this study discusses the application of a microservice architecture in Eco-Maps. This architecture supports faster and more efficient development, testing, and deployment, while enabling horizontal scalability to manage high complexity and large data volumes. By separating application functions into independent services, microservices facilitate maintenance and updates while minimizing the impact of failures in individual services. This study also reviews the integration of containerization technologies, such as Docker and Kubernetes, to support microservice implementation. Through these technologies, the application can be deployed quickly and consistently across various environments, from development to production. System testing was conducted using load testing and stress testing methods, as shown in Tables 3 and 4. The results demonstrate that the average response time across ten iterations was 745.9 ms, with an average CPU usage of 44.38%. These findings confirm that processing load directly affects CPU efficiency and overall system performance.
Advanced Phishing Attack Detection Through Network Forensic Methods and Incident Response Planning Based on Machine Learning Selamat, Siti Rahayu; Rizal, Randi; Nursihab, Cucu; Amien, Nashihun
JICO: International Journal of Informatics and Computing Vol. 1 No. 1 (2025): May 2025
Publisher : IAICO

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Abstract

The widespread use of smartphones has led to an increase in cybercrimes, particularly phishing attacks. Phishing attacks are commonly propagated through email, WhatsApp groups, and other communication channels. The stolen data is then used to commit further crimes, exploiting the victims' personal information. This study addresses the detection of phishing attacks using network forensic methods and incident response planning. Unlike previous approaches that relied solely on Incident Response Plans (IRPs) and Incident Handling methods to react to phishing attacks, this research emphasizes proactive detection. By employing network forensics, suspicious websites can be identified and differentiated from legitimate ones, enabling early detection and prevention of phishing attacks. The results demonstrate that network forensics can significantly enhance the ability to detect phishing sites before they can harm users. In our experiments, we analyzed a dataset of 10,000 websites, identifying 95% of phishing sites with a false positive rate of only 2%. Utilizing the Random Forest machine learning algorithm, we achieved high performance metrics with an accuracy of 96.5%, precision of 97.1%, recall of 95.8%, and an F1-score of 96.4%. This proactive approach not only mitigates the risk of phishing but also provides a robust framework for incident response, ensuring that potential threats are identified and neutralized promptly.
Sentiment Analysis of Application X on The Impact of Social Media Content on Adolescent Mental Well-Being using Naïve Bayes Algorithm Rizal, Randi; Pendit, Ulka Chandini; Ramli, Nuraminah; Annisa, Siti
JICO: International Journal of Informatics and Computing Vol. 1 No. 1 (2025): May 2025
Publisher : IAICO

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Abstract

Since the pandemic, the use of social media has increased significantly. However, its presence has raised significant concerns about its impact on the mental well-being of teenagers. The pervasive influence of social media has led to substantial changes in the social system within society. Despite this influence, there is currently no comprehensive understanding of the specific impact of social media on mental health. To address this gap, this research proposes the use of sentiment analysis of social media posts with the Naive Bayes algorithm as an approach to identify and classify positive and negative sentiments in these posts related to the mental well-being of teenagers. This solution aims to provide a deeper understanding of the impact of social media content on this vulnerable demographic. In this study, a total of 555,361 social media posts were successfully collected and analyzed using the Naive Bayes algorithm, which was trained with a sample of 27,977 test data. The research results demonstrate that sentiment analysis with the Naive Bayes algorithm is effective in classifying social media sentiment, with 50.55% of the posts classified as positive and 46.97% classified as negative. The identified sentiment patterns have provided valuable insights into the positive and negative impact of social media content on the mental well-being of teenagers.
PERANCANGAN SISTEM INFORMASI MANAJEMEN SKRIPSI MENGGUNAKAN BUSINESS SYSTEM PLANNING Ruuhwan, Ruuhwan; Rizal, Randi; Sudiarjo, Aso
Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) Vol 6, No 1 (2022): SEMNAS RISTEK 2022
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/semnasristek.v6i1.5835

Abstract

Sistem informasi pada suatu organisasi menjadi sangat penting untuk guna mengolah data dengan cepat untuk pengguna. Hal yang perlu dilakukan untuk pertama kali dalam membuat sistem informasi adalah membuat perencanaan. Metodologi yang digunakan untuk perencanaan sistem informasi adalah melakukan penyusunan rencana strategis dengan menggunakan Business System Planning (BSP). Metodologi ini bertujuan untuk upaya bagaimana sistem informasi harus terstruktur, terpadu, dan dilaksanakan oleh organisasi dalam jangka waktu lama. Universitas Perjuangan adalah salah satu universitas di Tasikmalaya. Manajemen pendaftaran dan pengelolaan skripsi di Universitas Perjuangan masih dilakukan secara manual. Selain itu tidak adanya sistem informasi untuk melihat kuota calon dosen pembimbing dan progres pengajuan tugas akhir menjadi kendala tersendiri dalam penentuan calon dosen pembimbing dan batas akhir proses pengerjaan skripsi. Dengan demikian diperlukan sebuah perencanaan untuk membangun sebuah sistem informasi manajemen skripsi yang nantinya akan bermanfaat untuk mengelola data skripsi dan memudahkan dalam hal pengajuan skripsi, penentuan pembimbing, penentuan penguji dan penentuan jadwal sidang. Langkah yang dilakukan dengan metodologi ini business system planning ini adalah mendefinisikan tujuan bisnis, proses bisnis , kelas data, arsitektur informasi dan integrasi.Kata Kunci: Business System Planning, Skripsi
Co-Authors Alam Rahmatulloh Aldya, Aldy Putra Amien, Nashihun Candra, Fikri El-Akbar, R Reza Faisal Muhammad Dzikry Gunawan, Rohmat Indra Karyana Komarudin, Arif Maulana Mohd. Zaki Mas’ud Nugraha, Cindera Syaiful Nur Widiyasono, Nur Nursihab, Cucu Oumarou, Hayatou Pendit, Ulka Chandini Purwayoga, Vega Rahmi Nur Shofa Ramli, Nuraminah Rasi Nuraeni Rianto Rianto Rianto, Rianto Rifki Maulana Insan Rizal Kurniawan Rochim, Rachma Verina Ruuhwan Ruuhwan Selamat, Siti Rahayu Septian Chandra Siti Annisa, Siti Siti Rahayu Selamat Sudiarjo, Aso Tiara Komala Sutra, Melanda Yahdi Siradj Yusuf Sumaryana