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Jurnal Testing dan Implementasi Sistem Informasi
Published by Lembaga Riset dan Inovasi Al-Matani
ISSN : -     EISSN : 29867991     DOI : 10.55583/jtisi
Core Subject : Science,
Computer Science & IT
Jurnal Testing dan Implementasi Sistem Informasi includes research in the field of Information Technology, Information Systems Engineering, Intelligent Business Systems, and others. Editors invite research lecturers, the reviewer, practitioners, industry, and observers to contribute to this journal. The language used in English. Jurnal Testing dan Implementasi Sistem Informasi is a national scientific journals are open to seeking innovation, creativity and novelty. Either letters, research notes, articles, supplemental articles, or review articles. Jurnal Testing dan Implementasi Sistem Informasi aims to achieve state-of-the-art in theory and application of this field. Jurnal Testing dan Implementasi Sistem Informasi provide platform for scientists and academics across Indonesia to promote, share, and discuss new issues and the development of information systems and information technology. E-ISSN : 2986-7991
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 78 Documents
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Sistem Absensi Dan Kegiatan Mahasiswa Magang Menggunakan Metode Spiral Mutiara Zahira Rissa; Raihan Hafidz Jamali; Dinar Maulana Khannafi; Mhd Irvandi Kurniawan; Suria Briska
Jurnal Testing dan Implementasi Sistem Informasi Vol. 2 No. 2 (2024): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v2i2.900

Abstract

Artikel ini membahas implementasi dan perancangan sistem informasi untuk pencatatan absensi dan kegiatan mahasiswa magang dengan tujuan meningkatkan efisiensi dan akurasi dalam pengelolaan program magang. Dengan menggunakan Model Spiral dalam pengembangan sistem, serta metode pengumpulan data melalui studi literatur dan kuesioner, penelitian ini menunjukkan bahwa sistem absensi dan manajemen kegiatan magang online dapat memberikan solusi yang lebih efisien dan akurat dibandingkan dengan metode manual. Fitur-fitur seperti login, dashboard admin dan mahasiswa, serta input data absensi dan kegiatan menjadi bagian dari sistem ini yang dapat memudahkan pengelolaan program magang. Hasil kuesioner menunjukkan bahwa sebagian besar responden kurang setuju terhadap kemampuan pencatatan manual dalam menghasilkan data yang akurat, sehingga implementasi sistem ini diharapkan dapat menawarkan solusi yang terbaik pada segi efisiensi serta transparansi dalam pengelolaan kehadiran dan kegiatan mahasiswa magang.
Rancang Bangun Sistem Informasi Pemesanan Accessories Berbasis Online Dengan Metode Prototype Bivandira Aurel Mahadewa; Hafiz Aulia Rahman; Nayla Husna Ryanda; Nur Futri Ayu Jelita
Jurnal Testing dan Implementasi Sistem Informasi Vol. 2 No. 2 (2024): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v2i2.901

Abstract

Pandemi (COVID-19) telah berdampak pada perekonomian global dan meningkatkan popularitas e-commerce. Karena perekonomian bergantung pada e-commerce untuk bertahan selama pandemi. E-commerce memberikan peluang bagi siapa saja untuk dengan mudah memulai atau mengembangkan bisnis. Tujuan penelitian ini telah dimanfaatkan oleh pebisnis tokohitstore merupakan toko yang didirikan pada tanggal 28 Maret 2024 yang dimana pada tokohitstore ini menyediakan berbagai macam accessories. Penulis menggunakan metode prototyping dalam merancang sistem baru. Metode ini melibatkan lima tahapan, yang dimulai dengan pengumpulan data melalui kuesioner dan analisis kebutuhan. Hasil dari penelitian ini adalah pembangunan sistem informasi pemesanan aksesori berbasis online, yang memiliki modul pelanggan untuk mencari, melihat detail, dan memesan aksesori, modul admin untuk mengelola data aksesori, pelanggan, dan pesanan, serta modul laporan untuk memberikan informasi kepada pelanggan tentang aksesori yang tersedia.
A Rancang Bangun Sistem Informasi Penjualan Mainan Edukasi BricksGenius Berbasis Web Menggunakan Metode SCRUM Rafiki Syahputra; Arif Rahman Winardi; Amelia Rahmadani; Raudah Islamiah; Muhammad Luthfi Hamzah
Jurnal Testing dan Implementasi Sistem Informasi Vol. 2 No. 2 (2024): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v2i2.903

Abstract

Saat ini, IT telah digunakan di banyak bidang, seperti pemerintahan, kesehatan, militer, pendidikan, ekonomi, dan lainnya. Tujuan penggunaan teknologi ini adalah untuk meningkatkan produktivitas dan memudahkan pekerjaan. Bisnis di bidang ekonomi atau perdagangan menggunakan informasi teknologi untuk meningkatkan kinerja dan daya saing mereka dibandingkan dengan pesaingnya. Toko BrickGenius, yang fokus pada penjualan mainan Bricks untuk anak-anak, menjadi subjek studi kasus ini. Toko ini menghadapi beberapa masalah karena proses penjualan mereka yang masih konvensional, seperti pencatatan laporan penjualan menggunakan Microoft Exel dan buku, yang mengakibatkan kesalahan pencatatan dan data yang tidak akurat. Tujuan dari penelitian ini adalah untuk mengembangkan aplikasi penjualan berbasis web yang beroperasi melalui internet dengan menerapkan Metode Scrum. Metode Scrum adalah salah satu pendekatan manajemen proyek yang paling populer dan berhasil. Inti dari pendekatan ini adalah Pembagian proyek besar menjadi beberapa siklus pendek yang disebut sprint, yang digunakan untuk merancang, mengembangkan, dan menguji fitur baru. Hasil penelitian menunjukkan bahwa sistem penjualan berbasis web yang responsif, aman, dan mudah digunakan telah berhasil dikembangkan. Hal ini akan membantu Toko BrickGenius untuk meningkatkan pangsa pasar di pasar online yang kompetitif.
Rancang Bangun Sistem Kepuasan Pengguna Pada Layanan Akademik Menggunakan Metode Rapid Application Development Dina Pani Safira; M. Eric Chaniago; Kelvin Mei Sandi; Radja Ardhiansyah Hasibuan
Jurnal Testing dan Implementasi Sistem Informasi Vol. 2 No. 2 (2024): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v2i2.907

Abstract

Dalam standar ISO 9001:2015 klausul 9.1.2, organisasi diwajibkan untuk memantau persepsi pelanggan untuk memastikan kebutuhan dan harapan mereka terpenuhi. Universitas Islam Negeri Sultan Syarif Kasim Riau menggunakan Google Form untuk mengumpulkan data kepuasan pengguna terhadap layanan administrasi. Namun, berdasarkan survei, sebagian besar responden menyatakan bahwa Google Form memiliki keterbatasan dalam desain, format, keamanan, dan transparansi data. Untuk mengatasi permasalahan ini, penelitian ini mengusulkan pembangunan sistem kepuasan pengguna yang lebih terstruktur dan sistematis. Metode Rapid Aplication Development (RAD) digunakan untuk membuat sistem ini menjadi aplikasi web yang menggunakan PHP dan MySQL. Hasil pengujian menunjukkan bahwa sistem ini berhasil memenuhi persyaratan fungsional dan non-fungsional di Universitas Islam Negeri Sultan Syarif Kasim Riau dan mampu meningkatkan kualitas layanan administrasi.
Implementation of Local Mean Distance Weighting k-Nearest Neighbor in Determining Vocational High School Majors in Pekanbaru Khairul Umam Syaliman; Dwi Gunawan
Jurnal Testing dan Implementasi Sistem Informasi Vol. 2 No. 2 (2024): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v2i2.965

Abstract

Vocational High School is a formal education at the secondary education level. SMK X Pekanbaru is one of the private vocational schools in Pekanbaru that provides IT-based education. There are 5 (five) majors in SMK X Pekanbaru, namely Computer and Network Engineering (TKJ), Software Engineering (RPL), Accounting and Financial Institution (AKL), Office Automation and Governance (OTKP), and Online Business and Marketing (BDP). During the registration period, prospective SMK students will enter their score data and will also choose the majors they want to take. In the absence of a system that can determine majors for prospective SMK students, obstacles will arise including errors in determining majors and requiring a long time to process prospective student data. Based on the above problems, a system will be built that can speed up and simplify the determination of new student majors by using Supervised Learning algorithms in Machine Learning, namely Local Mean Distance Weight k-Nearest Neighbor (LMDWkNN). Based on the results of the confusion matrix testing carried out, the accuracy results were 88.89%, the precision, recall and F1 score were 89%, which states that the model is good enough to determine majors
DESIGN AND IMPLEMENTATION OF A DECENTRALIZED E-VOTING SYSTEM ON LOCAL SERVER INFRASTRUCTURE Tengku Mohd Diansyah; Nuraminah Ramli; Muzammil Jusoh
Jurnal Testing dan Implementasi Sistem Informasi Vol. 3 No. 2 (2025): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v3i2.2169

Abstract

This study addresses the limitations of existing decentralized e-voting systems, particularly their reliance on public distributed infrastructures, limited real-world deployment feasibility, and lack of comprehensive evaluation. Previous studies have demonstrated the potential of distributed ledger-based voting mechanisms; however, most focus on conceptual designs or small-scale prototypes without detailed performance and usability validation. To address this gap, this research proposes and implements a decentralized e-voting system deployed on a local server infrastructure using distributed ledger technology and automated validation mechanisms for vote integrity. The system is designed to reduce dependency on external networks while maintaining transparency, immutability, and operational efficiency. The system was evaluated through functional testing, performance analysis, and user acceptance testing involving 30 participants in a controlled environment with 20 simulated voters. The results show that the system achieved a functional accuracy of 96% across 25 test scenarios. The average transaction response time ranged between 0.6 and 1.6 seconds, indicating efficient processing under moderate load conditions. However, the evaluation is limited to small-scale simulations and does not include stress testing, large-scale scalability analysis, or advanced security validation. Therefore, the findings demonstrate system feasibility rather than fully validated effectiveness. These results suggest that decentralized e-voting systems deployed on local infrastructures can provide a practical and efficient solution for controlled election environments, while further research is required to evaluate scalability, security robustness, and real-world deployment readiness.
Improving FAQ Retrieval for Academic Regulations Using Semantic Embeddings and LLM Question Augmentation Fajri Profesio Putra; I Gusti Agung Putu Mahendra; Agus Tedyyana; Muhammad Noor
Jurnal Testing dan Implementasi Sistem Informasi Vol. 4 No. 1 (2026): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v4i1.2176

Abstract

Academic regulations in higher education are often documented in lengthy and formal handbooks, making it difficult for students to find relevant information using everyday language. This study developed a semantic FAQ retrieval system for academic regulations using IndoSBERT and question augmentation. The FAQ corpus was constructed from official academic and internship documents, resulting in 92 FAQ entries across 33 topical categories. Seed questions were generated from category–keyword pairs and expanded using simple rule-based augmentation and FLAN-T5-based paraphrasing. The dataset was evaluated using an 80:10:10 train–validation–test split. IndoSBERT was fine-tuned with Multiple Negatives Ranking Loss under three configurations: baseline, baseline with simple augmentation, and baseline with simple plus LLM-based augmentation. Retrieval performance was measured using Recall@1, Recall@3, Recall@5, and Mean Reciprocal Rank. The best result was achieved by the simple plus LLM augmentation configuration, with Recall@1 of 0.7848, Recall@5 of 0.8987, and MRR of 0.8396. These findings show that LLM-based question augmentation improves semantic retrieval robustness while keeping answers grounded in curated academic regulations.
Phishing Detection Model on Social Media Enhanced With CNN and BERT Nurliana Nasution; Wenni Syafitri; Feldiansyah Feldiansyah
Jurnal Testing dan Implementasi Sistem Informasi Vol. 4 No. 1 (2026): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v4i1.2194

Abstract

Phishing on social media has become an increasingly serious cyber threat because attackers exploit persuasive language, conversational context, and dynamic interaction patterns to deceive users. This study proposes a hybrid CNN-BERT model for detecting phishing content in Indonesian social media text by combining BERT’s contextual semantic representation with CNN’s ability to capture locally relevant textual patterns. The dataset was preprocessed to remove noise, normalize writing variations, and prepare the text for deep learning analysis; class proportions were also examined to support fairer evaluation. Model performance was assessed under multiple data-splitting scenarios and cross-validation to examine robustness and consistency. The experimental results indicate that the proposed hybrid model achieves strong and stable performance across accuracy, precision, recall, and F1-score, and outperforms the baseline model when the BERT backbone is frozen. However, when BERT is fully fine-tuned, the performance gain from the CNN layer becomes marginal, suggesting that strong contextual representations are already highly effective for this task. These findings indicate that integrating CNN and BERT is effective for phishing detection on social media, although domain adaptation challenges, overfitting risk, and real-world deployment constraints remain important considerations. The novelty of this work lies in systematically comparing frozen versus fully fine-tuned IndoBERT backbones with and without a CNN head for Indonesian short-message phishing detection.
APPLIED MATHEMATICAL MODELING FOR 3D KINEMATIC SPATIAL RECONSTRUCTION IN A LOW-COST MONOCULAR WEBCAM-BASED SQUAT ANALYSIS SYSTEM Fazrol Rozi; Primawati Primawati; Anton Komaini; Sri Gusti Handayani
Jurnal Testing dan Implementasi Sistem Informasi Vol. 3 No. 1 (2025): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v3i1.2197

Abstract

Squat is a fundamental exercise for improving lower body strength; however, improper execution may increase the risk of musculoskeletal injury. Conventional motion analysis systems, such as marker-based technologies, provide high accuracy but require expensive equipment and controlled environments, while monocular camera-based approaches often suffer from limited three-dimensional representation. Therefore, this study proposes a low-cost squat analysis system, gui_mocap, which integrates monocular computer vision with vector-based mathematical modeling for real-time motion analysis. The system employs pose estimation to detect body landmarks and reconstructs joint kinematics in three-dimensional space using geometric vector operations. Knee joint angles are computed using the dot product formulation, and an Exponential Moving Average (EMA) filter is applied to improve measurement stability. Experimental evaluation was conducted using multiple squat repetitions to analyze motion patterns and consistency. The results demonstrate that the system can accurately identify key movement phases, including standing, deep flexion, and return to standing, while producing smooth and stable joint angle trajectories. Furthermore, the system is capable of analyzing repeated movements and generating descriptive statistics, such as average joint angles and range of motion, indicating consistent performance across repetitions. This study contributes a practical and affordable solution for real-time motion analysis using a monocular webcam, with potential applications in home-based exercise monitoring and basic rehabilitation.
Optimized Land Surface Low Point Detection Using the D8 Algorithm in a Geographic Information System (GIS) Framework Khairul Muttaqin; Novianda Novianda; Ahmad Ihsan; Dea Ayuni Putri; Cut Alna Fadhilla; Chichi Rizka Gunawan; Chicha Rizka Gunawan; Jefril Rahmadoni
Jurnal Testing dan Implementasi Sistem Informasi Vol. 4 No. 1 (2026): Jurnal Testing dan Implementasi Sistem Informasi
Publisher : Lembaga Riset dan Inovasi Almatani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55583/jtisi.v4i1.2205

Abstract

Hydrological analysis in urban areas often suffers from inaccuracies in Digital Elevation Model (DEM) interpretation, especially in detecting micro-depressions and small-scale surface flow patterns. Previous studies typically relied solely on the automatic D8 algorithm in GIS without manual verification, resulting in flow directions that do not fully represent actual surface conditions. This study aims to compare manual D8-based flow direction calculations with automatic ArcGIS processing using DEMNAS data for Langsa City. The DEM (8.1 m resolution) underwent sink filling, hydrological conditioning, slope and aspect processing, followed by field validation using GPS measurements. The results show that the manual method identified 23 flow paths, whereas ArcGIS detected only 11. The differences stem mainly from micro-topographic variations that the automatic algorithm failed to capture in flat areas or anthropogenically modified surfaces. Field validation confirmed that 8 of the 11 ArcGIS-derived paths matched the actual drainage patterns, while the additional manual paths better represented subtle elevation gradients.This research contributes by offering a systematic comparison between manual and automatic D8 approaches, highlighting the importance of manual verification in low-slope urban terrains. The findings are valuable for micro-scale flood mitigation planning and urban surface hydrology analysis.

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