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All Journal METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi JITU : Journal Informatic Technology And Communication
Yohanis Malelak
STIKOM Uyelindo Kupang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Library & Information Science

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Teori Graf Diskrit untuk Deteksi Intrusi dan Optimasi Firewall: Systematic Literature Review Andhika Adnan; Fransiskus Mario Hartono Tjiptabudi; Ricky Imanuel Ndaumanu; Yohanis Malelak
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2306

Abstract

The escalating complexity of computer networks and cybersecurity threats demand analytical approaches capable of systematically and measurably representing network structure. Discrete mathematical graph theory offers a formal framework for modeling network topology as nodes and edges, thus potentially supporting more effective intrusion detection and firewall placement optimization. This research aims to conduct a Systematic Literature Review of publications from 2022–2026 to identify graph theory applications in intrusion detection, evaluate the most effective graph-based firewall optimization methods, and map research gaps and future development trends. The methodology employed follows the SLR protocol with stages of systematic search across reputable databases, selection based on inclusion-exclusion criteria, and analysis through descriptive-comparative meta-analysis, thematic meta-synthesis, and content analysis. Results show the dominance of weighted graphs and structure-based learning approaches for network anomaly detection, as well as firewall optimization modeling through integer linear programming and graph heuristics. This research contributes to presenting an integrated synthesis between intrusion detection and firewall optimization within discrete graph framework, and provides conceptual foundation for developing adaptive network security models based on mathematical structure.
RANCANG BANGUN WEBSITE SISTEM INFORMASI INVENTARIS BARANG MENGGUNAKAN METODE WATERFALL DI DESA PADA - LEMBATA Kornelis Andrian Kabo; Yohanis Malelak; Petrus Katemba
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.5765

Abstract

Inventory management at the Pada Village Office in Lembata is currently still conducted manually using physical ledgers, which triggers data inaccuracies and the risk of document loss. This study aims to analyze, design, and develop an integrated web-based inventory information system using the Waterfall method. The system implements a real-time public complaint feature to strengthen asset management transparency and support the implementation of the Electronic-Based Government System (SPBE), enriched with a public infrastructure loan/rental module and an automatic fine control mechanism. The system was built using Native PHP and a MySQL database. Functional evaluation using Black Box Testing on 8 core test scenarios showed a 100% success rate (Pass) without any technical errors. Performance efficiency evaluation through Google Chrome Network Tools demonstrated optimal server response speed, with an overall average Page Load Time of 751 ms (under 1 second). Compatibility testing verified that the public interface is fully responsive and adaptive when accessed through both desktop and mobile browsers. The integration of these various features establishes the proposed system as a practical solution for realizing accountable village-level administrative digitalization.
KLASIFIKASI SURAT MASUK DI KANTOR PENGADILAN MILITER III-15 KUPANG MENGGUNAKAN (LSTM) LONG SHORT TERM-MEMORY Asmawati Tuto; Sumarlin; Yohanis Malelak
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.5924

Abstract

The increasing volume of incoming correspondence at the Kupang Military Court III-15 Office has made the conventional letter classification process complex and time-consuming. Purpose: this study aims to develop an incoming letter classification system that categorizes letters into four classes (regular letters, circulars, decrees, and orders) using the Long Short-Term Memory (LSTM) method; the main contribution of this study is the application of LSTM to a local military-court correspondence dataset that has not been widely studied, together with a replicable preprocessing pipeline and K-Fold evaluation protocol, providing practical implications for accelerating correspondence administration in military judicial offices. Methods: the dataset consists of 500 incoming letter records in Excel format that underwent a preprocessing stage including cleaning, case folding, normalization, stopword removal, stemming, tokenizing, encoding, and padding, and was then divided into 80% training data and 20% testing data, evaluated using 5-Fold Cross Validation with accuracy, precision, recall, and F1-score as performance metrics. Results: the average model performance results were Accuracy 42.04%, Precision 42.39%, Recall 42.04%, and F1-Score 39.93%, with the highest accuracy obtained in Fold 2 (56.44%) and the lowest in Fold 5 (32.00%), while the model's main difficulty lay in distinguishing between the Circular and Decree categories, which share similar text patterns. Conclusion: the LSTM method is capable of recognizing textual patterns in letters and performing classification; however, its performance remains variable and relatively low on this dataset, so the developed system has the potential to improve the efficiency of incoming letter management at the Kupang Military Court III-15 Office, although further optimization is still needed before independent deployment.
ANALISIS SYSTEM TRACKING DAN KEAMANAN KENDARAAN BERMOTOR MENGGUNAKAN ARDUINO DAN ESP32 William Sanro Umbu Muda; Mehya Snae; Yohanis Malelak
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.5974

Abstract

Motor vehicle theft remains a leading criminal offense in Indonesia, highlighting the high vulnerability of factory-standard security systems. This situation underscores the urgent need for more adaptive technological innovations to enhance security and enable real-time vehicle tracking. This research focuses on developing an Internet of Things (IoT)-based vehicle security system integrated with location tracking capabilities. The study addresses the lack of an optimal comparative analysis regarding the performance of commonly used microcontrollers specifically the Arduino Uno and ESP32 within the context of tracking systems. System performance is evaluated based on three key parameters: GPS tracking accuracy (timestamp), data transmission latency (response time), and microcontroller power consumption efficiency. The findings aim to identify the superior and more efficient microcontroller platform, serving as a crucial reference for developers and researchers creating reliable, fast, and energy-efficient IoT-based vehicle security systems. The results indicate that the ESP32 outperforms the Arduino Uno R3; although the ESP32 exhibits higher power consumption and slightly lower location accuracy than the Arduino Uno R3, it offers a significant advantage: the ability to manage the SIM7600 module's functions and transmit data to the Blynk dashboard online capabilities that the Arduino Uno R3 lacks.
IMPLEMENTASI AUGMENTED REALITY SEBAGAI MEDIA PERAGA INTERAKTIF PADA PEMBELAJARAN HUKUM MEKANIKA FLUIDA Matthew Chandra; Yohanis Malelak; Heni
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.6070

Abstract

Physics learning on Fluid Mechanics at State High School 1 Kupang faces obstacles due to students' difficulty in understanding abstract concepts using conventional methods. This study aims to design and implement an interactive Augmented Reality (AR) application on the Android platform to visualize 3D fluid mechanics objects. The development uses the Waterfall model, comprising needs analysis, UML design, implementation with Unity 3D and the Vuforia SDK (Marker-Based Tracking), and testing. System testing utilized Black Box testing for functionality and User Acceptance Test (UAT) questionnaires for user response, analyzed using descriptive quantitative methods on a sample of 30 students (n=30). The Black Box test yielded 100% validity without errors. Meanwhile, the UAT resulted in a feasibility score of 79.59%, categorized as "Good/Feasible". This research successfully produced a viable and innovative learning media application capable of increasing interactivity and students' conceptual understanding of Fluid Mechanics
Co-Authors Andhika Adnan Asmawati Tuto Heni Kornelis Andrian Kabo Matthew Chandra Mehya Snae Petrus Katemba Ricky Imanuel Ndaumanu Sumarlin Tjiptabudi, Fransiskus Mario Hartono William Sanro Umbu Muda