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INDONESIA
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.
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Articles 20 Documents
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Search results for , issue "Vol. 7 No. 3 (2025): August" : 20 Documents clear
Webgis Fasilitas Kesehatan di Kabupaten Demak dengan Leaflet dan Web Mapping Interaktif Client-Side Muhammad Rizal Wahyu Aji Saputra; Theresia Dwiati Wismarini
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.751

Abstract

Geographic Information Systems (GIS) have become an essential tool in the planning and management of various sectors, including the health sector. This research aims to create an interactive WebGIS focused on mapping healthcare service locations in Demak Regency. Using the Leaflet JavaScript framework, this ap-plication is built with a client-side application approach, allowing data processing and map display to be performed directly in the user's browser. The interactive web mapping method is applied to provide a more lively user experience, where users can easily search, filter, and obtain detailed information about hospitals, community health centers, clinics, and other healthcare facilities in the Demak area. Geographic data and attributes from healthcare facilities are collected and combined into the system for precise visualization. The result of this development is a responsive, easily accessible web application that provides appropriate spatial information for the community, local government, and related parties to support decision-making regarding access to and distribution of healthcare services in Demak Regency. This system is expected to improve efficiency in identifying and utilizing existing healthcare facilities.
Analisis Keamanan Website Global Academic Information System menggunakan OWASP ZAP dan Model AI Lokal Asep Rio Saputra; Bayu Irfan Aditya; Nova Teguh Sunggono; M. Bucci Ryando
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.759

Abstract

Academic websites serve as central platforms for managing higher education services, including academic records, financial data, and institutional communication. However, such systems are increasingly vulnerable to cyberattacks due to their internet exposure and insufficient protection against security flaws. This study proposes an integrated solution that combines automated scanning with OWASP ZAP and a local artificial intelligence model (Mistral) executed via the Ollama platform. The entire process is automated using Python scripting, covering stages such as spidering, active scanning, JSON result extraction, and AI-based mitigation recommendation generation. The research was conducted on the Global Academic Information System website. The scan results revealed a total of 193 vulnerabilities, including 4 high, 8 medium, 111 low, and 70 informational risks. Each vulnerability was analyzed using the local AI model to produce specific technical recommendations, such as adding security headers, implementing CSRF tokens, and configuring secure cookies. All outputs were automatically compiled into a structured Excel report suitable for developers. This approach proves effective in streamlining the security audit process, reducing manual workload, and preserving data privacy, as all operations are conducted locally without reliance on cloud services. The study demonstrates that integrating OWASP methods with local AI provides a practical, adaptive, and standalone solution for web application security testing.
Perencanaan Arsitektur Enterprise SI/TI pada SMA Negeri 1 Purwoasri Kediri menggunakan Kerangka TOGAF Mohammad Haris Muzakki; Alva Hendi Muhammad
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.765

Abstract

Digital transformation in the education sector requires institutions such as SMA Negeri 1 Purwoasri Kediri to adopt a structured and strategic approach in managing Information Systems and Information Technology (IS/IT). Fragmented systems, duplicated data, and inefficient services have become major challenges that hinder optimal performance and service delivery. This study aims to design an Enterprise Architecture (EA) using the TOGAF Architecture Development Method (ADM) framework to address these issues comprehensively. The research method combines observation, Focus Group Discussions (FGDs), and a structured analysis through TOGAF ADM phases—Preliminary, Architecture Vision, Business Architecture, Information Systems Architecture, and Technology Architecture. An evaluation of the institution’s current IS/IT condition was conducted using the EA Capability Maturity Model (EA-CMM) Scorecard. The results indicate that the school has a relatively strong foundation in IT governance (level 4/Managed), but still shows limitations in methodology usage, supporting tools, and human resource competencies, with an average score of 2.71 (Under Development). Business process mapping identified several priority systems, including student admission (PPDB), e-report cards, and digital libraries, alongside supporting systems such as inventory and asset management. The overall system effectiveness rate is 72.5%, these findings align with previous studies highlighting the urgency of integrated systems in schools. The study provides practical implications, including recommendations for phased implementation of EA, continuous training for human resources, and the development of an embedded EA model tailored to the needs and conditions of secondary educational institutions, ensuring sustainability and adaptability in the long term.
Analisis Pengaruh Recursive Feature Elimination Terhadap Kinerja Model Prediksi Dini Diabetes Mellitus di RS PKU Muhammadiyah Bima Nani Sulistianingsih; Siti Agrippina Alodia Yusuf; Anggreni Anggreni; Firda Niken Sari; M. Pandawan Juniarta; Juryanti Permatasari
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.774

Abstract

Early detection of diabetes mellitus is a crucial step in preventing chronic complications and enabling more effective disease management. This study aims to analyze the impact of the Recursive Feature Elimination (RFE) method on the performance of machine learning-based diabetes prediction models at RS PKU Muhammadiyah Bima. A quantitative approach was employed by implementing the CRISP-DM framework, encompassing data selection, preprocessing, transformation, data mining, and model evaluation. Missing values in height and weight variables were imputed using linear regression based on age and gender features. The transformation process included calculating the Body Mass Index (BMI) as a new feature relevant to diabetes risk. Evaluation was carried out on three classification algorithms—Support Vector Machine (SVM), Logistic Regression (LR), and Random Forest (RF)—both before and after the application of RFE. The results showed that all models experienced significant performance improvements following feature selection with RFE, achieving 100% in all evaluation metrics. Insulin and BMI were consistently selected features, underscoring their contribution to diabetes detection. It can be concluded that RFE effectively reduces model complexity without sacrificing accuracy, thereby supporting the efficient implementation of predictive models in clinical settings.
Pengembangan Media Pembelajaran Interaktif Gerakan Shalat Berbasis AR (Studi Kasus: Madrasah Diniyah Al-Barokah) Teguh Gumelar; Alun Sujjada; Ivana Lucia Kharisma
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.779

Abstract

Fiqh learning in madrasah diniyah often still relies on conventional media such as textbooks, which tend to be less engaging for students and may lead to decreased interest. This study aims to develop an interactive learning media for shalat movements using Augmented Reality (AR) technology and the ADDIE development model (Analysis, Design, Development, Implementation, Evaluation). AR was chosen as an innovative solution to deliver fiqh material in a more visual, interactive, and contextual manner. The application was designed using a marker-based approach and visualizes eight shalat movements through 3D animated objects validated by Islamic scholars. The trial was conducted at Madrasah Diniyah Al-Barokah involving 8 students and 2 teachers. Black-box testing confirmed that all features functioned properly across different devices. Meanwhile, the User Acceptance Test (UAT) showed a very high level of user satisfaction, with an average score of 91.22%, particularly in terms of ease of use, visual appeal, and clarity of content. Unlike previous studies, this application specifically focuses on visualizing shalat movements for children in madrasah diniyah within the context of fiqh learning. This research recommends future development with broader user testing and the integration of quantitative learning outcome evaluations.
Wavelet-Based MFCC and CNN Framework for Automatic Detection of Cleft Speech Disorders Muhammad Hilmy Herdiansyah; Syahroni Hidayat; Nur Iksan
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.780

Abstract

Cleft Lip and Palate (CLP) is a congenital condition that often results in atypical speech articulation, making automatic recognition of CLP speech a challenging task. This study proposes a deep learning-based classification system using Convolutional Neural Networks (CNN) and Wavelet-MFCC features to distinguish speech patterns produced by CLP individuals. Specifically, we investigate the use of two wavelet families Reverse Biorthogonal (rbio1.1) and Biorthogonal (bior1.1)—with three decomposition strategies: single-level (L1), two-level (L2), and a combined level (L1+2). Speech data were collected from 10 CLP patients, each pronouncing nine selected Indonesian words ten times, resulting in 900 utterances. The audio signals were processed using wavelet-based decomposition followed by Mel-Frequency Cepstral Coefficients (MFCC) extraction to generate time-frequency representations of speech. The resulting features were input into a CNN model and evaluated using 5-fold cross-validation. Experimental results show that the combined L1+2 decomposition yields the highest classification accuracy (92.73%), sensitivity (92.97%), and specificity (99.04%). Additionally, certain words such as “selam”, “kapak”, “baju”, “muka”, and “abu” consistently achieved recall scores above 0.94, while “lampu” and “lembab” proved more difficult to classify. The findings demonstrate that integrating multi-level wavelet decomposition with CNN significantly improves the recognition of pathological speech and offers promising potential for clinical diagnostic support.
Rancang Bangun Sistem Satu Data sebagai Strategi Peningkatan Mutu Pendidikan Tinggi di Universitas Mataram Mohammad Zaenuddin Hamidi; Ahmad Zafrullah Mardiansyah; I Wayan Sudiarta; Halil Akhyar
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.781

Abstract

The quality of higher education greatly depends on the accuracy and consistency of data used in decision making and accreditation processes. At the University of Mataram, various information systems have been developed separately, such as the Academic Information System (SIA), the New Student Admission System (PMB), the Research and Community Service Information System (SIMLITABMAS), and the Lecturer Performance Information System (BKD). However, the lack of integration among these systems has resulted in fragmented data, which is often unsynchronized and complicated the quality reporting process. This study aims to design and develop an integrated information system based on the One Data approach, which consolidates various primary data sources into a centralized platform within the University of Mataram. The advantages of the developed system lie in its direct integration with PDDIKTI, enabling automated data retrieval and submission through the national central system. This research adopts a Research and Development (R&D) approach with a Waterfall based software development method, consisting of the stages of requirement analysis, system design, implementation, testing, and evaluation. The results show that the developed system is able to integrate data from various existing systems and presenting it in a consistent format that is easily accessible by relevant units, with testing results achieving a 100% success rate. The system has been proven to support efficiency in reporting and monitoring processes for higher education quality in a more accurate manner. In conclusion, the One Data system contributes significantly to improve the quality of data governance and quality assurance processes in higher education and can serve as a foundation for the development of a more holistic and sustainable academic data ecosystem.
Optimizing Inter-Site Traffic Comparative Performance Analy-sis of IPSec with IKEv2 RSA-ESP and IKEv2 with PSK Surya Pratama; Mohammad Ramaddan Julianti; Detin Sofia
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.788

Abstract

This study compares the performance of IPsec VPNs using Internet Key Exchange version 2 (IKEv2) with RSA and Pre-Shared Key (PSK) authentication. The research is driven by the rising need for secure and efficient communication in distributed systems, particularly in environments with limited resources and sensitivity to latency. Guided by the PPDIOO framework, this study assesses system performance across two distinct scenarios: standard operational conditions and impaired (stressed) network environments. Key metrics include latency, jitter, throughput, packet loss, and IKE negotiation time, measured using iperf3, ping, and tc netem. The testbed uses virtual Ubuntu environments with strongSwan 5.9.13 on VMware® Workstation, simulating inter-site traffic VPNs. Under normal conditions, PSK outperforms RSA by showing lower latency (0.82 ms vs. 0.88 ms), faster IKE setup (10.05 ms vs. 20.80 ms), and higher UDP throughput. Under stressed conditions—100 ms latency, 20 ms jitter, and 1% packet loss—PSK remains more resilient, especially for real-time UDP traffic. RSA offers steady performance for TCP downloads. Statistical significance is confirmed using paired t-tests. The results suggest PSK suits lightweight deployments with minimal cryptographic demands, while RSA is better for environments requiring certificate-based security. This study provides valuable insights for network architects in selecting appropriate IPsec configurations based on specific operational requirements. Future research may explore scalability considerations, multi-user environments, and the integration with Software-Defined Wide Area Networking (SD-WAN) technologies.
Analisis Prediksi Penjualan Isi Ulang Air Galon menggunakan Metode LSTM dan SARIMA Ulfarida Miftakhul Jannah; Nurmalitasari Nurmalitasari; Ridwan Dwi Irawan
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.802

Abstract

Refillable drinking water depots often face challenges in dealing with unpredictable customer demand on a daily basis. This uncertainty complicates the process of stock management, production planning, and overall operations. Without accurate sales forecasts, depots risk losing potential sales and experiencing a decline in service quality to customers. Therefore, a solution is needed that can accurately predict daily sales. The first step in this research is to collect relevant data. Once the data is available, pre-processing is conducted to prepare the data before entering the modeling process. The Long Short-Term Memory (LSTM) model has the advantage of remembering historical patterns in time series data. Meanwhile, the Seasonal Autoregressive Integrated Moving Average (SARIMA) model is an extension of ARIMA that can handle data with seasonal characteristics. In this study, the LSTM model demonstrated better performance than SARIMA. This is evidenced by the performance evaluation values: MAPE of 9.54%, RMSE of 0.17, and MAE of 0.14 for the LSTM model, which are lower than MAPE of 10.51%, RMSE of 0.19, and MAE of 0.16 for SARIMA. These values indicate that LSTM is capable of providing more accurate prediction results. Based on these results, it can be concluded that the LSTM model is more effective and recommended for use in predicting daily sales of refillable water at the Manshurin Water depot
Implementasi Augmented Reality Sebagai Media Pembelajaran Untuk Pengenalan Buah-Buahan Rahman Nur Syam; Sigit Sugiyanto; Tito Pinandita; Feri Wibowo
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.805

Abstract

Innovative and interactive teaching strategies have emerged as a result of the development of communication and information technology. One of the most promising and rapidly expanding educational technologies is augmented reality. By displaying virtual things in three dimensions in a real-world setting in real time, Augmented Reality can make studying more engaging and joyful for students Augmented reality can display virtual objects in three dimensions in real time, creating a more engaging and enjoyable learning experience for students. This research aims to develop and implement Augmented Reality-based fruit recognition learning media as an alternative to conventional, static and unengaging media for elementary school students, helping them visualize the concepts being learned. The Multimedia Development Life Cycle (MDLC), which has six stages concept, design, gathering materials, assembly, testing, and distribution the development methodology. This application is designed to display various types of fruit as 3D objects that can be scanned through markers using the camera on an android device. Each fruit is equipped with its own name and information to improve student knowledge. Testing is carried out through black box testing to evaluate system functions, and user feasibility testing using a Likert scale questionnaire given to 15 grade students. According to the results of black-box testing, there were no system or functional issues and the application operated as planned. It received an 84.86% feasibility score, placing it in the "very feasible" range. Thus, it can be said that this AR-based fruit recognition app works well to boost students' curiosity, involvement, and comprehension of the material.

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