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Jurnal Teknologi Informasi dan Multimedia
Published by Puslitbang Sekawan Institute Nusa Tenggara
ISSN : 27152529     EISSN : 26849151     DOI : https://doi.org/10.35746/jtim.v2i1
Core Subject : Science,
Computer Science & IT
Cakupan dan ruang lingkup JTIM terdiri dari Databases System, Data Mining/Web Mining, Datawarehouse, Artificial Integelence, Business Integelence, Cloud & Grid Computing, Decision Support System, Human Computer & Interaction, Mobile Computing & Application, E-System, Machine Learning, Deep Learning, Information Retrievel (IR), Computer Network & Security, Multimedia System, Sistem Informasi, Sistem Informasi Geografis (GIS), Sistem Informasi Akuntansi, Database Security, Network Security, Fuzzy Logic, Expert System, Image Processing, Computer Graphic, Computer Vision, Semantic Web, Animation dan lainnya yang serumpun dengan Teknologi Informasi dan Multimedia.
Arjuna Subject : -
Articles 355 Documents
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Perancangan Aplikasi Pembelajaran Membaca Permulaan Anak Usia Dini Menggunakan Gamification Berbasis Media Animasi Bergambar Fransiska Yustina Ema Laru; Alfian Nara Weking; Martinus Irwanto Ishak
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 4 (2026): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i4.1144

Abstract

Early literacy instruction at Santo Antonius Adi Padua Kindergarten faces challenges in recognizing letters, constructing syllables, and understanding basic words. This research focused on developing an Android-based application that integrates gamification with animated illustrations to foster children's initial reading abilities. A quantitative approach using a one-group pretest–posttest method was conducted with 28 children. Data were collected through observation, pretests, and posttests, followed by descriptive statistical analysis and a paired-samples t-test. The findings indicated an improvement in mean scores between 33.09 and 66.80. A t-value of 30.37 exceeded the critical t-value of 2.052, indicating a significant effect of the application on children's reading abilities at the initial stage. The developed application may serve as an interactive tool to facilitate reading activities for children in the early stages of education.
Deteksi dan Mitigasi Serangan Aplikasi Web Menggunakan Suricata IPS, Wazuh SIEM, dan Firewall Ardiansyah Ardiansyah; Raisul Azhar; Lilik Widyawati
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 4 (2026): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i4.1146

Abstract

Web applications have become a primary platform for delivering digital services but face security threats, particularly SQL Injection (SQLi) and Cross-Site Scripting (XSS). The limitations of conventional firewalls in detecting application-layer attacks highlight the need for automated detection and mitigation. This study evaluates an integrated security framework based on Suricata Intrusion Prevention System (IPS), Wazuh Security Information and Event Management (SIEM), and a firewall in a cloud environment. The Network Development Life Cycle (NDLC) method was implemented on Ubuntu Server and Damn Vulnerable Web Application (DVWA). Four attack scenarios were tested: Error-Based SQLi, Union-Based SQLi, Authentication Bypass SQLi, and XSS. Results showed that three scenarios (75%) were successfully detected, responded to, and blocked through Active Response. Suricata recorded seven detection events for Error-Based SQLi and four alerts each for Union-Based SQLi and XSS. Wazuh recorded alerts and executed Active Response for these scenarios, while the firewall blocked 281, 215, and 73 packets, respectively. Authentication Bypass SQLi generated 46 Suricata events and 15 Wazuh alerts but did not trigger Active Response or firewall blocking because SQLMap did not identify the username parameter as vulnerable. These findings demonstrate that integrating Suricata IPS, Wazuh SIEM, and a firewall supports auto-mated detection, analysis, and mitigation of web attacks through a defense-in-depth approach.
Implementasi Game Edukasi RPG 2D Pengenalan Unsur Kimia Berbasis Android Afrizal Rachmatulloh; Sigit Sugiyanto; Tito Pinandita; Supriyono Supriyono
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 4 (2026): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i4.1153

Abstract

Learning substance classification at the junior high school level requires instructional media that can support student engagement through interactive learning activities. This study aims to design and develop EduChem Adventure, an Android-based educational game adopting a 2D Top-Down Role-Playing Game (RPG) concept that integrates substance classification content into exploration and question-based turn-based battle mechanics. Correct answers reduce the enemy’s health point (HP), while incorrect answers reduce the player’s HP, making question answering an integral part of the gameplay. The game was developed using the Game Development Life Cycle (GDLC), consisting of Initiation, Pre-Production, Production, Testing, Beta, and Release stages. Product evaluation was conducted through Black Box Testing, media and subject-matter expert validation, and Usability Testing involving 30 junior high school students. The Black Box Testing results showed that all 15 tested functional scenarios operated according to the expected outcomes. Media expert validation achieved 84.00%, categorized as Good, while subject-matter expert validation achieved 96.00%, categorized as Very Good. The usability evaluation obtained an average score of 81.47%, categorized as Very Good. These results indicate that EduChem Adventure functions according to its design, receives positive expert evaluations, and is well accepted by users. Therefore, EduChem Adventure is considered feasible as a supplementary learning medium for substance classification.
Perbandingan Metode MOORA dan ARAS Berbobot AHP untuk Pemilihan Siswa Berprestasi di SMA Negeri 1 Utan Helda Nur Afidah; Rifqi Hammad; Tomi Tri Sujaka
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 4 (2026): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i4.1197

Abstract

The selection of outstanding students at SMA Negeri 1 Utan still relies on spreadsheet recapitulation and teachers’ council deliberation without standardized criteria weighting, resulting in inconsistent assessment outcomes. This study develops a Decision Support System and compares the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) and Additive Ratio Assessment (ARAS) methods using Analytical Hierarchy Process (AHP) weighting. The dataset consists of 748 students evaluated using six criteria: average general/non-core subject scores, extracurricular activities, attendance, attitude, achievements, and average core subject scores. AHP produced a Consistency Ratio of 0.0249, indicating consistent weights. MOORA and ARAS then ranked students using the same dataset and weights. Keysa Alya Sabila ranked first in both methods, with a MOORA preference value (Yi) of 0.0542 and an ARAS utility value (Ki) of 1.0523, although several other alternatives differed in position due to differences in normalization and calculation mechanisms. Manual validation on three alternatives produced the same ranking in both methods, and Black Box Testing on 15 scenarios showed that all system functions operated as expected. The system supports a more structured and transparent outstanding-student selection process.
Optimasi Ekstraksi Kata Kunci untuk Automatic Question Generation pada Dokumen Ajar Elektronik Menggunakan Kombinasi TF-IDF dan TextRank Jonathan Wira Wijaya; Eddy Muntina Dharma; Anak Agung Gede Adi Mega Putra
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 4 (2026): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i4.1189

Abstract

The existence of practical evaluation instruments is a vital pillar in the digital learning ecosystem. Automatic Question Generation (AQG) technology is designed to reduce educators' cognitive load, but low keyword extraction accuracy often degrades the quality of generated questions. Single-frequency approaches are susceptible to noise absorption, while graph algorithms ignore word scarcity. This study formulates a hybrid optimization technique by integrating Term Frequency-Inverse Document Frequency (TF-IDF) scores and TextRank centrality to select keywords in Internet of Things (IoT) literature. The processing is executed using an unsupervised learning framework at the unigram level, evaluated against an expert Ground Truth and the grammatical feasibility of cloze tests. Computational calculations at the top 30 word limit proved that the hybrid method achieved an F1-Score of 40.68\%, equivalent to pure TF-IDF and surpassing TextRank (37.29\%). In the pedagogical validation phase, the proposed model demonstrated absolute superiority with a feasibility rate of 86.67\% (26 valid quizzes), subjugating TF-IDF which stalled at 83.33\%. The intervention of graph topology successfully deterred the intrusion of meaningless words and maintained syntactic integrity, making this hybrid formulation highly recommended as the driving engine for future question banks.

Page 36 of 36 | Total Record : 355

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