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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.
Arjuna Subject : -
Articles 275 Documents
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Sistem Pelaporan Data Capaian Standar Pelayanan Minimal Bidang Kesehatan Berbasis Website Nugrah Satria Bagassabirin; Acihmah Sidauruk; Erni Seniwati; Wiwi Widayani; Agung Nugroho
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.v7i3.735

Abstract

Reporting the achievement of Minimum Service Standards in the health sector (SPM BK) plays a crucial role in evaluating and improving healthcare services. the reporting of Minimum Service Standards (SPM BK) achievement data at the Sumbawa District Health Office is not standardized, with inconsistent report formats and submissions via third-party messaging applications (WhatsApp). This leads to delays, data inconsistencies, and calculation errors, which affect the quality of monitoring. This study aims to design and develop a web-based information system to facilitate the reporting and monitoring of SPM BK achievements at the Sumbawa District Health Office. The web-based system enables easier reporting and monitoring, while the processing of SPM BK data can be automated to reduce the potential for human error. The system development followed the Waterfall model, starting from data collection through interview methods, system needs analysis, system design using Entity Relationship Diagram, Use Case Diagram, and Wireframe, followed by the system development process using Laravel 10 and MySQL database, and closed with the testing stages using the black box method, and User Acceptance Testing (UAT). The UAT results showed a success rate of 84.7% with a "Excellent" interpretation, indicating that the system meets user needs both functionally and in terms of interface. This system is expected to improve the speed, consistency, and accuracy of SPM achievement reporting.
Prediksi Gender Berdasarkan Nama Menggunakan Kombinasi Model IndoBERT, Convolutional Neural Network (CNN) dan Bidirectional Long Short-Term Memory (BiLSTM) Abi Mas'ud; Bambang Krismono Triwijoyo; Dadang Priyanto
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.v7i3.736

Abstract

This study proposes a name-based gender prediction model in the Indonesian language by combining the architectures of Indonesian Bidirectional Encoder Representations from Transformers (IndoBERT), Convolutional Neural Network (CNN), and Bidirectional Long Short-Term Memory (BiLSTM). The non-standardized and diverse structure of Indonesian names presents a significant challenge for text-based gender classification tasks. To address this, a hybrid approach was developed to leverage the contextual representation power of IndoBERT, the local pattern extraction capability of CNN, and the sequential dependency modeling strength of BiLSTM. The dataset consists of 4,796 student names from Universitas Bumigora, collected between 2018 and 2023. The preprocessing steps include lowercasing, punctuation removal, label encoding, and train-test splitting. Evaluation results based on accuracy, precision, recall, and F1-score indicate that the IndoBERT-CNN-BiLSTM model achieved the best performance, with an accuracy of 90.94%, F1-score of 91.03%, and training stability without signs of overfitting. This model demonstrates high effectiveness in name-based gender classification and holds strong potential for applications such as population information systems, service personalization, and name-based demographic analysis.
Analisis Korelasi Faktor-Faktor Penentu Produktivitas dalam Skema Remote Work Menggunakan Pendekatan Visualisasi dan Statistik Dwi Nur Chasanah; Rosidi Rosidi; M. Abdul Jamal Nasir; Mukhamad Angga Gumilang
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.v7i3.739

Abstract

The massive shift in work patterns caused by the global pandemic has significantly accelerated the adoption of remote work schemes across various industries and organizations. This condition has created a strong need for data-driven studies to understand the factors that influence employee productivity in flexible work environments. This study aims to analyze the relationships among several key variables, namely employment type (in-office or remote), weekly working hours, and well-being score, in relation to individual productivity scores. The research data were obtained from a publicly available dataset on the Kaggle platform, containing 1,000 entries from respondents with diverse professional backgrounds. The analysis process involved data preprocessing, Pearson correlation analysis, and exploratory data visualization using heatmaps and scatter plots to facilitate result interpretation. The results show that remote work is positively correlated with productivity (r = 0.40), while weekly working hours exhibit a negative correlation (r = -0.25). Meanwhile, the well-being score demonstrates a weak but positive correlation with productivity (r = 0.14). The data visualizations support these numerical findings by presenting consistent patterns among the analyzed variables. These findings offer preliminary insights that are valuable for future studies related to remote work productivity. This study can serve as an initial reference for decision-makers in designing data-driven policies to optimize flexible work arrangements.
Implementasi Algoritma Dijkstra dan Bellman-Ford untuk Optimasi Rute Pemadam Kebakaran di Kota Praya Sunardi Sunardi; Muhamad Azwar; Dedy Sofian MZ; Angga Radlisa Samsudin; Fazlul Rahman
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 2 (2025): May
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i2.744

Abstract

Forest and land fires are critical emergencies requiring rapid response to minimize casualties and property damage. In urban areas like Praya City, fire department response delays are often caused by inefficient routing, especially with traffic congestion and complex road infrastructure. This study aims to analyze and compare the performance of Dijkstra's and Bellman-Ford's algorithms for optimizing firefighter routes in Praya City. This quantitative research utilized a computational and comparative analysis approach. Road network data from Praya City was obtained from Google Maps and modeled as a static graph consisting of 17 nodes and weighted edges repre-senting actual distances. Dijkstra's and Bellman-Ford's algorithms were implemented in Python to find the shortest routes from a designated starting point (Fire Department office) to all other nodes. Performance was evaluated based on route optimality, completeness, and computation time. Both Dijkstra's and Bellman-Ford's algorithms successfully identified identical optimal shortest routes for all tested origin-destination pairs within the Praya City graph. However, Dijkstra's algorithm demonstrated significantly superior computational efficiency, with an average computation time of 0.5 seconds, compared to Bellman-Ford's 1.5 seconds. For optimizing firefighter routes on the static road network graph of Praya City, Dijkstra's algorithm is recommended due to its combi-nation of optimality and superior speed. This finding provides an empirical basis for developing more efficient emergency response navigation systems. Future research should focus on inte-grating dynamic parameters like real-time traffic data.
Implementasi Sistem Pengadaan Material pada SAC dengan Metode Waterfall Deva Defrina Aldeana; Agustia Hananto; Tukino Tukino; Fitria Nurapriani; Elfina Novalia
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.v7i3.745

Abstract

Decision support systems in the material procurement process are important solutions to improve operational efficiency and accuracy, especially in retail companies such as SAC (Store Adede Cikampek) which is engaged in the sale of dolls. This study aims to design and build a web-based material procurement system that is able to manage the ordering process, stock recording, verification of incoming goods, and reporting automatically. The system development was carried out using the Waterfall method because its systematic stages are very suitable for handling the material procurement process at SAC which was previously manual and undocumented. With the Waterfall approach, each stage such as needs analysis, design, implementation, testing, to maintenance can be carried out in a structured manner, thus ensuring that the system built is able to overcome problems such as late ordering and errors in recording raw materials. At the implementation stage, this system was developed with various features such as supplier data management, raw material stock management, order history, and periodic report generation. To ensure the effectiveness of the system, testing was carried out using the System Usability Scale (SUS) approach involving twenty respondents from internal operational parties. The evaluation results showed that the developed system succeeded in meeting user needs and increasing the effectiveness of the procurement process by obtaining an average score of 96 which was categorized as "Excellent". This system is also considered easy to use, efficient, and can support the decision-making process in real time. It is expected that the implementation of this system can not only solve the problem of material procurement in SAC, but can also be used as a model for implementing similar systems in similar businesses. This research provides a practical contribution in the development of an integrated information system to support more optimal business processes.
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.

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