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Jurnal Teknologi Informatika dan Komputer
Published by Universitas Mohammad Husni Thamrin
ISSN : 26569957     EISSN : 26228475     DOI : https://doi.org/10.37012/jtik
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Jurnal Teknologi Informatika dan Komputer merupakan salah satu jurnal berbasis Open Journal System (OJS) yang dikelola oleh Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Mohammad Husni Thamrin (UMHT) yang berisi artikel-artikel dengan topik Teknologi Informasi yang menampung karya ilmiah para dosen Perguruan Tinggi di Indonesia. Diharapkan jurnal ini mampu memberikan motivasi dan kontribusi ilmiah bagi perkembangan ilmu pengetahuan dan teknologi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 805 Documents
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Loka Wicara: Technical Evaluation of Local Object Detection Based on YOLOv8 Nano for an AAC Prototype Husni Hidayat; Arif Iman Anshori; Muhammad Ivan Fauzi
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3708

Abstract

Children with Autism Spectrum Disorder (ASD) may experience functional communication barriers, while Augmentative and Alternative Communication (AAC) applications should use objects and messages that are closely related to users’ daily contexts. This study presents an initial technical evaluation of Loka Wicara, an AAC prototype that links local-object detection to Indonesian need-message designs. The actual dataset contains 500 images and 520 bounding boxes across five classes: pillow, dipper, glass/cup, cooked rice, and sandals. The data were divided into 350 training, 100 validation, and 50 test images. YOLOv8n and a YOLOv5n-compatible model were trained for 100 epochs using the same three random seeds. On the test set, YOLOv8n achieved a precision of 0.8475 ± 0.0652, recall of 0.8267 ± 0.0837, F1-score of 0.8328 ± 0.0241, mAP50 of 0.8768 ± 0.0338, and mAP50–95 of 0.6115 ± 0.0358. YOLOv5n produced slightly higher mAP50 and mAP50–95 values of 0.8800 ± 0.0240 and 0.6146 ± 0.0469, respectively, while using fewer parameters and a smaller model file. A Tesla T4 benchmark produced mean latencies of 18.21 ms for YOLOv8n and 18.69 ms for YOLOv5n. YOLOv8n was also successfully exported to LiteRT/TFLite. The findings indicate that both models are competitive; YOLOv8n is retained as a prototype candidate because of its slightly higher recall and F1-score and its successful export pipeline, rather than universal superiority. Android testing, expert validation, and user acceptance testing remain necessary in subsequent work.
Implementation of an Intelligent System for the Automation and Monitoring of Hydroponic Plants Olantianus Bebi Maxrin; Ryan Putra Laksana; Hani Dewi Ariessanti; B. Harjo Baskoro
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3724

Abstract

Manual monitoring of household hydroponic systems is a critical limitation for users unable to be consistently present at the site. Manual monitoring cannot continuously detect fluctuations in Total Dissolved Solids (TDS) and growing medium moisture, risking physiological damage to lettuce and pak choi. This study designed, implemented, and evaluated an IoT-based smart system for real-time monitoring and automated irrigation on a household hydroponic installation in Panongan, Tangerang Regency. The study used a prototype development method with an ESP32 microcontroller integrated with a TDS sensor, a soil moisture sensor, a relay module, a water pump, and an I2C 16x2 LCD, with Blynk as the remote interface. The system applies rule-based logic: the pump activates when moisture is 60% or below and TDS is within 800-950 ppm. Testing ran over three days, data collected every 30 minutes, yielding 30 data points. The TDS sensor achieved an average error of 1.83%; soil moisture showed a maximum deviation of 4%. The pump activated automatically in all 6 triggered events, TDS remained normal in 90% of data points, moisture was restored in 100% of irrigation events, and all 9 notifications were received with an average latency of 5-6 seconds. The system is recommended for replication with further development.
Design and Development of a Web-Based Student Attendance System Using the RAD Method (Case Study: SDN Pondok Jagung Tangerang) Adindra Gyvari Rachman Tyo; Rudjiono; Candra Supriadi
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3740

Abstract

The student attendance system is an important part of school administration to record and monitor student attendance. At SDN Pondok Jagung Tangerang, the attendance process is still done manually, potentially causing recording errors, delays in recapitulation, and the risk of data loss. This study aims to design and build a Web-Based Student Attendance System using the Rapid Application Development (RAD) method as a solution to improve the effectiveness and efficiency of attendance management. The RAD method was chosen because it has a fast development stage through the process of requirements planning, design, construction, and system implementation. The system was developed using the PHP, HTML, CSS, and JavaScript programming languages with a MySQL database. The results show that the system built has features for login, dashboard, student data management, teacher data, class data, user management, and student attendance recapitulation. Testing of each module shows that all system functions run well according to user needs. The system is able to store data in an integrated manner, speed up the attendance recording process, facilitate data retrieval, and produce more accurate attendance reports compared to manual systems. The implementation of this system is expected to assist the school in improving the quality of attendance administration and support a more effective, efficient, and com-puterized data management process at SDN Pondok Jagung Tangerang.
API-Based Chatbot-Integrated Mobile Health Education Application for Stunting Prevention in Pregnant Women Salman Alfarisi; Ahmad Zulham Fahamsyah Havy
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3742

Abstract

Stunting remains a major public health issue in Indonesia because it can negatively affect children's physical growth, cognitive development, and long-term quality of life. Improving pregnant women's knowledge of maternal health and nutrition is one preventive effort, yet health information delivery still faces limited access, time constraints, and a lack of interactive educational media. This study aims to develop an Android-based mobile application for maternal health education on stunting prevention, integrated with an API-based chatbot as an accessible and interactive educational medium. The study employed the Research and Development (R&D) method with the Waterfall model, covering requirements analysis, system design, implementation, testing, and maintenance. The application was built using Flutter with Firebase as the backend and the Gemini AI API as the chatbot. System testing used Black Box Testing, Integration Testing, and User Acceptance Testing (UAT) involving ten respondents. Results show that all application features functioned as expected, communication between the application, Firebase, and the Gemini AI API operated successfully, and the UAT score reached 79.8%, categorized as Good. These findings indicate that the developed application is well accepted by users and can effectively support the delivery of maternal health information to assist stunting prevention efforts.
Web-based Academic Advisor Information System with Automated Telegram Message Notification Features Ridwansyah; Labusab; Muhammad Akil
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3743

Abstract

Academic advising in Indonesian higher education institutions still largely relies on face-to-face meetings and fragmented communication channels between Academic Advisors (PA) and students, resulting in delayed information delivery, difficulty in tracking advising history, and slow administrative processing of the Study Plan Card (KRS) and Study Result Card (KHS). This study aims to develop a web-based Academic Advisor Information System that integrates academic data management with an automated message notification feature using Telegram. The system was developed using the System Development Life Cycle method with the Waterfall model, encompassing requirements analysis, Use Case Diagram and Entity Relationship Diagram design, web-based implementation, and Black Box Testing. The testing results across nine core system modules covering authentication, data management, KRS/KHS processing, advising review, and Telegram integration showed that all functions performed as expected. Automated notifications proved effective in accelerating communication between academic advisors and students for every academic event, while also centrally documenting the entire advising history. This system is expected to support the digital transformation of academic advising services in higher institution.
Web-Based Decision Support System for Used Motorcycle Purchase Recommendations Using the TOPSIS Method Muhammad Rizki Rizaldi; Dede Rizal Nursamsi
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3748

Abstract

The increasing need for transportation has encouraged high interest in purchasing used motorcycles as a more affordable alternative. The wide variety of motorcycles with different conditions and characteristics makes it difficult for prospective buyers to determine the most suitable choice. This study aims to develop a web-based Decision Support System (DSS) to provide recommendations for purchasing used motorcycles using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The research data consist of 12 used motorcycle alternatives evaluated based on 5 criteria, namely price, engine condition, motorcycle year, mileage, and body condition. The TOPSIS calculation process consists of decision matrix normalization, weighted normalization, determination of positive and negative ideal solutions, calculation of the distance of each alternative from the ideal solutions, and calculation of preference values. Based on the calculation results, Scoopy Donat (2024) obtained the highest preference value of 0.8442, making it the most recommended used motorcycle alternative. The results indicate that the TOPSIS method can provide recommendations based on multiple criteria in a more objective and measurable manner. The developed web-based system can assist prospective buyers in comparing alternatives and selecting a used motorcycle according to the predetermined criteria.
Integration of K-Means Clustering and K-Nearest Neighbor for Mapping and Predicting Stunting Risk Among Toddlers in Indonesia Melinda Novianti; Naeli Umniati
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3752

Abstract

 Stunting prevalence among children under five in Indonesia keeps falling, yet remains unevenly spread, so setting priority areas needs a verifiable quantitative basis. Previous studies generally use a single algorithm, so the resulting map yields no estimate for the next period. This study combines both in one workflow: K-Means Clustering groups 514 districts and cities by risk level, and the cluster labels become reference classes for K-Nearest Neighbor to predict the 2025 risk category. The data are under-five stunting prevalence from the Indonesian Nutritional Status Survey (SSGI) 2021–2024. Its 128 empty values were filled by mean computation and rescaled with Min-Max normalisation, distance used Euclidean Distance, cluster quality the Silhouette Coefficient, and classification 23 nearest neighbours from a 1,542-row training set. Iteration stopped at the fifteenth round, giving 60 districts in High Risk, 232 in Moderate, and 222 in Low Risk, with a mean Silhouette Score of 0.33. The 2025 prediction places 25 districts in High Risk, 194 in Moderate, and 295 in Low Risk, agreeing with the cluster labels on 378 of 514 districts, or 73.54%. Re-running it in Orange Data Mining differed by at most four districts, confirming the workflow and its map for setting intervention priorities.
Android-Based Digitalization of Rubber Seedling Production Data Monitoring Dimas Kurnia Ramadhan; Iwan Setiawan; Hermizahadiwidastra
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3759

Abstract

The digitalization of production data monitoring for rubber seedlings and plants is important for supporting effective cultivation processes and plantation management. However, the recording process at PT. Kendi Arindo is still performed manually, causing several problems, including reporting delays, data inaccuracies, and difficulties in archiving and reviewing production information. This study aims to develop an Android-based application for the digitalization of production data monitoring for rubber seedlings and plants to improve the efficiency, accuracy, and organization of field recording processes. The system development method used in this study is Design Thinking, which consists of the empathize, define, ideate, prototype, and test stages. This method was applied to understand user needs and design an application that addresses problems encountered in the field. The developed application enables officers to record, manage, and monitor production data quickly and systematically through Android devices. System testing was conducted using white-box testing to evaluate program logic and ensure that each function operated according to the designed specifications. The testing results showed that the application's main features functioned properly and met user requirements. The implementation results show that the application provides integrated features for recording, managing, validating, monitoring, and reporting production data. White-box testing showed that the program logic of the tested functions operated according to the system design. Therefore, the developed application provides a more structured and integrated system for managing production data and can be used as a digital medium for recording, monitoring, validating, and reporting production information at PT. Kendi Arindo.
Digitization of Employee Information and Attendance Systems Using Android-Based QR Codes Aji Muksen; Iwan Setiawan; Hermizahadiwidastra
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3760

Abstract

Digitalization of the employee information and attendance system is needed to support attendance management, which previously used a fingerprint machine. The existing system at PT Kendi Arindo still has several weaknesses, such as the potential for proxy attendance, delays in data recapitulation, and limited access to information for management. This study aims to develop an employee information and attendance system using a QR Code-based android application that integrates employee data management with centralized attendance recording. The study uses a qualitative approach with data collection techniques through observation, interviews, documentation, and literature review. The system development method used is design thinking, which consists of the empathize, define, ideate, prototype, and test stages. The application was developed using flutter and firebase with features for employee data management, QR Code generation and scanning, selfie and GPS verification, submission of leave, sick leave, and annual leave requests, request approval, and attendance reports. The system has three user access levels, namely HRD, management, and employees, with functions tailored to each role. Data management is carried out through centralized storage so that employee and attendance information can be managed, searched, and displayed in a more structured manner. The development results in an application that integrates employee information management and attendance into a single digital platform. The developed system is designed as an alternative to support the recording, management, monitoring, and reporting of attendance in a more structured manner at PT Kendi Arindo.
Optimizing Transaction and Inventory Recording Using ABC Analysis at Harapan Bersama Store Lira Irawan; Dede Wira Trise Putra; Eva Yulianti; Minarni
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3761

Abstract

Toko Harapan Bersama is a wholesale grocery store with high transaction and inventory management activity; however, stock records, transactions, and restocking decisions were previously handled manually. This study aims to develop a web-based information system integrating sales transaction recording, inventory monitoring, and ABC Analysis to determine item-management priorities. The study uses descriptive qualitative and quantitative approaches. Data were collected through interviews, documentation, and literature review. The system was developed using the Prototype model, Laravel, and MySQL. ABC Analysis calculates sales value, contribution percentage, and cumulative percentage over a seven-day period to classify items into categories A, B, and C. Functional testing using Black Box Testing showed that all tested feature groups operated according to the scenarios. System Usability Scale testing involving the owner and two operators produced scores of 92.5, 87.5, and 95, with an average of 91.67. The results indicate that the system automates stock updates, provides inventory-priority reports, and achieves a very high usability level.

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