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All Journal Jurnal Computech & Bisnis (e-Journal) Nuansa Informatika JTERA (Jurnal Teknologi Rekayasa) Jurnal Pengabdian Masyarakat Tapis Berseri SisInfo : Jurnal Sistem Informasi dan Informatika Nuansa Informatika Coreid Journal INTERNAL (Information System Journal) Bulletin of Intelligent Machines and Algorithms
Nugraha, Arif Bakti
Fakultas Teknologi Dan Informatika, Universitas Informatika Dan Bisnis Indonesia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Other

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Membangun Infrastruktur Jaringan Bagi Siswa SMKN 13 Bandung Imannudin Akbar; Arif Bakti Nugraha; R.Yadi Rakhman; Erlang Anggara Widjaksono
Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) Vol. 5 No. 1 (2026): Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) (Edition April)
Publisher : Pusat Studi Teknologi Informasi Fakultas Ilmu Komputer Universitas Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jpmtb.v5i1.179

Abstract

This Community Service Program (PkM) aims to equip students of SMKN 13 Bandung with practical skills in Debian server administration. The activity was conducted through an intensive workshop emphasizing hands-on practice, aimed at enhancing students' abilities to build a network infrastructure based on Debian 12. This activity not only provided theoretical understanding but also prepared students for the Competency Skills Test (UKK) and challenges in the workforce. Through this program, students gained skills in configuring network services such as DNS, DHCP, Web Server, and Database Server using the Command Line Interface (CLI). Evaluations showed significant improvement in students' knowledge and skills, as well as their readiness to face exams and enter the workforce. This program is expected to enhance the quality of graduates from SMKN 13 Bandung, meeting the demands of the information technology industry.
Ensemble Learning for Early Warning Systems in Higher Education: A Comparative Study of Student Attrition Muhamad Achya Arifudin; Elia Setiana; Arif Bakti Nugraha
Bulletin of Intelligent Machines and Algorithms Vol. 1 No. 3 (2026): BIMA March 2026 Issue
Publisher : Maheswari Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65780/bima.v1i3.19

Abstract

Student attrition poses a substantial challenge to higher education institutions, affecting their reputation and financial sustainability. Conventional single machine learning models often exhibit limited sensitivity when analyzing educational data, which is typically marked by severe class imbalance favoring graduating students over dropouts. This study introduces an Early Warning System based on a Hybrid Stacking Ensemble framework to improve student attrition prediction. The approach leverages complementary biases from Bagging and Boosting as base learners, which are then combined using a Logistic Regression meta-learner to refine prediction weights. To counteract class imbalance and majority-class bias, the Synthetic Minority Over-sampling Technique was employed during preprocessing. Empirical evaluations reveal that the Hybrid Stacking Ensemble attains a classification accuracy of 88.81% and a Recall of 80.99%, surpassing standalone models and other ensemble methods. Feature importance rankings highlight second-semester academic performance and administrative-financial factors—particularly tuition payment punctuality—as key dropout predictors. These results affirm the value of integrating diverse classifiers to discern intricate, nonlinear student behavior patterns. In essence, this work establishes a reliable, evidence-based framework enabling administrators to shift from reactive to proactive, precision-targeted strategies that foster student retention and institutional success.
Pengembangan Website E-Commerce Hisa Studio: Perpaduan React dan Firebase untuk Performa Maksimal Arif Bakti Nugraha
JTERA (Jurnal Teknologi Rekayasa) Vol 10 No 2: December 2025
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v10.i2.2025.45-58

Abstract

Pada era digital saat ini, kehadiran website e-commerce menjadi suatu kebutuhan esensial bagi banyak bisnis, termasuk Hisa Studio. Skripsi ini mengusulkan dan implementasi penggunaan teknologi React dan Firebase dalam pembangunan website e-commerce untuk Hisa Studio. React, sebagai library JavaScript yang populer untuk pengembangan antarmuka pengguna, dipadukan dengan Firebase, sebagai platform cloud yang menyediakan berbagai layanan backend, termasuk otentikasi pengguna dan penyimpanan data melalui Firestore.Pendekatan pengembangan yang diambil melibatkan inisialisasi Firebase, pengelolaan otentikasi pengguna menggunakan Firebase Authentication, dan interaksi dengan Firestore Database untuk menyimpan dan mengambil data kategori produk menggunakan No SQL. Selain itu, implementasi fungsi otentikasi tambahan seperti pendaftaran pengguna dengan email dan password, serta manajemen sesi pengguna, turut menjadi fokus penelitian.Melalui pengembangan website e-commerce ini, diharapkan Hisa Studio dapat memanfaatkan keunggulan React dalam pembangunan antarmuka pengguna yang responsif dan Firebase untuk penyimpanan data yang efisien. Evaluasi dilakukan terhadap kinerja, keamanan, dan fungsionalitas keseluruhan sistem. Hasil penelitian ini diharapkan memberikan kontribusi positif dalam pengembangan aplikasi web e-commerce menggunakan teknologi modern. 
Development of a Web-Based Library Information System Using the Laravel Framework: Pengembangan Sistem Informasi Perpustakaan Berbasis Web Menggunakan Framework Laravel Adrian Rama Putra; Arif Bakti Nugraha
NUANSA INFORMATIKA Vol. 20 No. 2 (2026): Nuansa Informatika 20.2 July 2026
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v20i2.564

Abstract

School libraries play an important role in supporting learning activities, but many are still managed manually, causing difficulties in managing book data, searching collections, and recording borrowing and returning transactions. SMP PGRI 9 Bandung faces similar challenges due to the absence of an integrated library management system. Previous studies have developed web-based library systems, but limited attention has been given to the combined integration of public catalog access, librarian-only administration, borrowing and returning transactions, fine payment recording, report generation, and website content management in a Laravel MVC-based system tailored to junior high school library operations. This study aims to design and develop a web-based library information system using the Laravel framework and the Waterfall method. The proposed system integrates book, category, publisher, member, borrowing, returning, fine payment, reporting, and public catalog search features into a single platform. Testing was conducted using black-box testing and user acceptance testing (UAT). The black-box testing results showed that all 10 functional scenarios were successful, achieving a 100% functional success rate. Meanwhile, UAT involving five respondents produced an average score of 4.52 out of 5.00, or 90.4%, which falls into the very feasible category. The specific contribution of this study is the development of an integrated Laravel MVC-based library system that combines administrative efficiency, public service accessibility, fine and report management, and customizable website content according to the operational needs of SMP PGRI 9 Bandung. The results indicate that the system can support more organized data management, improve service accessibility, and facilitate library transaction processing
Analisis Rancang Bangun Sistem Informasi Menggunakan Metode Least Square untuk Memprediksi Hasil Penjualan Beras Arif Bakti Nugraha
INTERNAL (Information System Journal) Vol. 7 No. 1 (2024)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v7i1.968

Abstract

Mang Jana rice shop (TB MJ) is a CV-shaped company which operates in the field of selling basic necessities which is located in Bandung City, precisely in Ujungberung District. This shop experiences an increase in sales every month. In this case it is necessary to predict the number of sales in the coming period. Forecasting (forecasting) means estimating what will happen in the future, and planning means deciding what to do once it is done. The Least Square method is a sales forecasting method by minimizing the criterion function of the sum of the squares of forecasting errors, so that it can be used for sales forecasting. The Least Square Method is an analysis method that aims to predict the future by looking for similarities in data trends which includes time series analysis for two cases: even and odd data. The amount of data may increase. The results of the study show that the application built is very helpful for the rice shop in making predictions so that it is more precise and accurate.
Co-Authors Adrian Rama Putra Akbar, Imannudin Anggraeni, Hilma Aren Kurnia Erlang Anggara Widjaksono Habibi, Chairul Muhamad Achya Arifudin Pangestu, Idham Azis Putra, Raka Deny Adi R.Yadi Rakhman Rizcky Hikmawan, Muhammad Saputra, Naufal Fajar Setiana, Elia Venia Restreva Danestiara