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Jurnal Teknik Informatika STMIK Antar Bangsa
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Antar Bangsa
ISSN : 24422444     EISSN : 26153459     DOI : doi.org/10.51998/jti.v7i1
Core Subject : Science,
Computer Science & IT
Jurnal Teknik Informatika (JTI) STMIK Antar Bangsa merupakan kumpulan artikel ilmiah yang diterbitkan oleh Program Studi Teknik Informatika STMIK Antar Bangsa. Jurnal yang terbit dalam dua periode per Tahun ini berisi artikel ilmiah yang meliputi tema : Jaringan (Networking), Aplikasi Sains, Animasi / Multimedia Interaktif, Pengolahan Citra, Sistem Pakar, Sistem Penunjang Keputusan, Soft/Mobile Computing. Jurnal ini berisi pokok-pokok permasalahan dalam kerangka pengembangan secara teoritis maupun dalam bentuk implementasi.
Arjuna Subject : -
Articles 327 Documents
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Analisis Kepuasan Pengguna Terhadap Layanan Aplikasi Brimo Pada Mahasiswa STMIK Antar Bangsa Menggunakan Mobile Service Quality dengan Metode CSI Fajri, Annur; Kurnia Rifki, Arsyad
Jurnal Teknik Informatika Vol 11 No 1 (2025)
Publisher : LPPM STMIK Antar Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51998/jti.v11i01.618

Abstract

Abstract— BRImo offers a variety of services that simplify banking transactions for its users. The issue addressed in this study arises from frequent system disruptions and numerous user complaints regarding the application’s performance, particularly concerning access speed, as indicated by reviews on the Google Play Store. These issues have led to a decline in user interest in the BRImo application. Considering the ongoing complaints and less-than-satisfactory ratings, this research aims to assess user satisfaction with the BRImo application among students at STMIK Antar Bangsa. This study employs the Customer Satisfaction Index (CSI) method to measure the percentage of user satisfaction, with modified dimensions from Mobile Service Quality tailored to the focus of this research. Data were collected through a questionnaire consisting of 15 questions and involving 50 respondents. The collected data were tested for validity and reliability before being processed using the CSI method. The results of this study can be seen in the calculation of the CSI method, the percentage of user satisfaction is 75.78% and it can be stated that customers feel "Satisfied" with the service quality of the BRImo application.
Implementasi Filament Form Builder Dalam Sistem Informasi Berbasis Laravel Wijanarko, Sigit
Jurnal Teknik Informatika Vol 11 No 1 (2025)
Publisher : LPPM STMIK Antar Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51998/jti.v11i01.619

Abstract

Filament Form Builder is a tool that simplifies the creation and management of forms in Laravel-based applications. This journal discusses the installation steps and implementation of Filament Form Builder in a Laravel-based information system. By following the proper installation procedures, developers can enhance efficiency in form creation and management
Analisis Efektivitas Eduaide.ai dalam Membantu Persiapan Pembelajaran pada Siswa Kelas 9 Maulida, Rusyda; Muchlis
Jurnal Teknik Informatika Vol 11 No 1 (2025)
Publisher : LPPM STMIK Antar Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51998/jti.v11i01.620

Abstract

This research aims to analyze the effectiveness of using Eduaide.ai in assisting learning preparation for 9th grade students. This study employs an experimental method by comparing student learning outcomes through pre-test and post-test in two conditions: manual learning preparation and learning preparation with the assistance of Eduaide.ai. The research sample consists of 9th grade students who will be tested on their abilities before and after using the learning platform. The collected data will be analyzed quantitatively to measure the platform's effectiveness in improving student learning outcomes. The results of this research are expected to provide insights into the benefits of using artificial intelligence technology in supporting students' learning preparation processes
DAMPAK GAME ONLINE TERHADAP MOTIVASI BELAJAR DAN PRESTASI AKADEMIK ANAK DENGAN METHODE KUALITATIF Bani, Bani; Maulida, Rusyda; Puspitasari, Tita
Jurnal Teknik Informatika Vol 11 No 2 (2025): Periode Agustus 2025
Publisher : LPPM STMIK Antar Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51998/jti.v11i2.641

Abstract

Abstract-- In the context of rapid technological development, online games have become a global phenomenon dominating the leisure time of children and adolescents. These games, with their engaging and interactive designs, often become an essential part of their daily routines. While many acknowledge the entertainment and social potential of online games, their impact on children's learning motivation and academic achievement remains poorly understood. While quantitative studies have provided data on the relationship between online games and academic outcomes, qualitative methods offer a more in-depth perspective on children's subjective experiences in this context. Qualitative methods, through techniques such as in-depth interviews, focus group discussions, and observation, allow researchers to explore the nuances and complexities of children's experiences with online games. This study aims to explore how online games affect their learning motivation, how they balance their time between gaming and study, and how their perceptions of education may be affected by gaming engagement. With this approach, it is hoped that various factors influencing the relationship between online games and academic achievement can be identified, such as the type of game played, the duration of play, and the social context in which the play occurs.
Efektivitas Pemanfaatan ChatGPT dalam Mendukung Proses Kajian Literatur pada Penelitian Mahasiswa Teknik Informatika STMIK Antar Bangsa ST MKom, Aristejo
Jurnal Teknik Informatika Vol 12 No 1 (2026): .
Publisher : LPPM STMIK Antar Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51998/jti.v12i1.693

Abstract

Penelitian ini bertujuan untuk menganalisis efektivitas pemanfaatan ChatGPT sebagai alat bantu dalam mendukung proses kajian literatur pada penelitian mahasiswa Program Studi Teknik Informatika STMIK Antar Bangsa. Tantangan yang dihadapi mahasiswa dalam menelusuri sumber ilmiah, memahami konsep teknis, serta menyusun sintesis literatur kerap menjadi hambatan dalam pengembangan karya ilmiah. ChatGPT, sebagai model kecerdasan buatan berbasis pemrosesan bahasa alami, menyediakan kemampuan untuk menguraikan konsep, menghasilkan ringkasan, serta memfasilitasi identifikasi kata kunci yang relevan secara lebih efisien. Penelitian ini menggunakan pendekatan kualitatif-deskriptif dengan menganalisis proses penggunaan ChatGPT dalam aktivitas kajian literatur melalui pengamatan langsung terhadap praktik mahasiswa dalam penyusunan penelitian. Hasil analisis menunjukkan bahwa ChatGPT dapat meningkatkan efisiensi penelusuran informasi, memperkuat pemahaman awal terhadap materi literatur, dan membantu penyusunan landasan teori secara lebih sistematis. Meskipun demikian, mahasiswa tetap perlu menerapkan penilaian kritis untuk memastikan validitas dan akurasi informasi yang dihasilkan. Secara keseluruhan, ChatGPT terbukti efektif sebagai alat pendukung kajian literatur, selama penggunaannya mengikuti prinsip akademik yang etis dan bertanggung jawab.
Pengembangan Sistem Supply Chain Management Berbasis Web pada PT Arta Daya Taruna Purnomo, Liu; Muchlis
Jurnal Teknik Informatika Vol 12 No 1 (2026): .
Publisher : LPPM STMIK Antar Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51998/jti.v12i1.694

Abstract

Makalah ini menjelaskan perancangan dan penerapan sistem Supply Chain Management (SCM) berbasis web yang dikembangkan untuk PT Arta Daya Taruna sebagai kontraktor pertambangan batubara, dengan tujuan meningkatkan efektivitas proses logistik internal seperti permintaan material, pengelolaan work order, pengadaan, dan pengendalian persediaan yang sebelumnya terkendala oleh prosedur manual sehingga menimbulkan keterlambatan, inkonsistensi data, dan inefisiensi operasional; sistem yang dibangun mengintegrasikan modul Work Order (WO), Purchase Request (PR), Purchase Order (PO), Goods Receipt (GR), Material Requisition (MR), dan Goods Issue (GI) dalam satu platform real-time yang dilengkapi otorisasi berbasis peran dan notifikasi otomatis untuk meningkatkan transparansi, mengurangi penggunaan dokumen fisik, serta mempercepat pengambilan keputusan melalui pemantauan stok dan pelacakan persetujuan secara digital, sementara desain antarmuka yang responsif dan dapat diakses melalui perangkat mobile turut memperkuat koordinasi antarbagian dan mendukung kelancaran operasional di area tambang, dengan hasil pengujian awal menunjukkan peningkatan akurasi persediaan dan percepatan siklus pengadaan sehingga sistem ini berperan dalam menjaga keberlangsungan operasional di lingkungan pertambangan yang dinamis.
Penerapan Data Mining Menggunakan Metode K-Means Untuk Analisis Pola Distribusi Zakat Pada Masjid Al-Ikhlas Karawaci Rahdiana, Ikhsan; Jeremy Jonathan
Jurnal Teknik Informatika Vol 12 No 1 (2026): .
Publisher : LPPM STMIK Antar Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51998/jti.v12i1.709

Abstract

The zakat distribution process at Al-Ikhlas Mosque Karawaci previously faced challenges regarding objectivity and effectiveness in allocating aid to eligible recipients. The absence of a measurable classification system led to a potential lack of precision in distributing community funds. Consequently, this research was conducted to develop a data analysis model capable of enhancing the accuracy and transparency of zakat distribution. The implemented solution involved the application of the K-Means Clustering algorithm within the Knowledge Discovery in Databases framework. This study contributed a data-driven zakat distribution model that integrated local criteria with Central Bureau of Statistics standards and Islamic law. The research methodology began with data processing of 296 mustahik from the 2024 Ramadan period. The variables utilized included zakat type, aid amount, number of dependents, economic conditions, and aggregate demographic data of the Karawaci District. The experimental phase involved comparing the performance of the K-Means algorithm against Hierarchical Clustering and Density-Based Spatial Clustering of Applications with Noise. The optimal number of clusters was determined using the Elbow method and Silhouette Score, which resulted in three main distribution groups. The results demonstrated distribution patterns of nineteen percent for the high category, 36 to 52% for the moderate category, and twenty-six to forty-five percent for the low category. Evaluations via Silhouette Score ranging from 0.35 to 0.58 and the Davies-Bouldin Index from 0.61 to 1.26 confirmed that the generated clusters were of high quality and consistent. In conclusion, the application of the clustering algorithm successfully established a strategic recommendation foundation for mosque administrators to improve zakat distribution precision

Page 33 of 33 | Total Record : 327

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