cover
Contact Name
Nirwana Haidar Hari
Contact Email
javict@isas.or.id
Phone
+6289518253155
Journal Mail Official
nhh@pens.ac.id
Editorial Address
JAVICT Journal of Advanced Vocational Information and Communication Technology Address Jl. Raya ITS, Sukolilo, Surabaya 60111, Indonesia Phone +62 878 5916 0488 Website Visit JAVICT Website Email javict@isas.or.id javictisas@gmail.com
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INDONESIA
Journal of Advanced Vocational Information and Communication Technology (JAVICT)
ISSN : -     EISSN : 31240437     DOI : https://doi.org/10.52158/javict
Core Subject :
Journal of Advanced Vocational Information and Communication Technology (JAVICT) is a triannual, peer-reviewed international journal published by the Indonesian Society of Applied Science (ISAS). JAVICT provides a scholarly platform for researchers, educators, and industry practitioners to disseminate rigorous and relevant contributions in vocational and applied Information and Communication Technology (ICT). The journal welcomes original research articles and applied studies that advance the design, development, implementation, and evaluation of ICT solutions with clear relevance to vocational education, engineering practice, and industry needs. JAVICT prioritizes manuscripts demonstrating both technical rigor and practical significance, including validated prototypes, system implementations, performance evaluations, and field-based investigations. JAVICT covers key areas of vocational and applied ICT, including computer networking and communication, Internet of Things, embedded and enterprise computing, software engineering and information systems, security and cryptography, data science, intelligent systems and machine learning, database systems, parallel and distributed systems, and graphics and multimedia. Full details are available in the Aims and Scope section. JAVICT is published three times a year (January, May, and September). All submissions undergo editorial screening and peer review to ensure relevance, quality, and research integrity. Currently, JAVICT does not charge any Article Processing Charges (APCs) or submission fees. ISSN (Online): 3124-0437 DOI Prefix: https://doi.org/10.52158/javict Publisher: Indonesian Society of Applied Science (ISAS) Editor-in-Chief: Prof. M. Udin Harun Al Rasyid, Ph.D. Address: Jl. Raya ITS, Sukolilo, Surabaya 60111, Indonesia
Arjuna Subject : -
Articles 10 Documents
Interactive Web-Based Expert System for Personalized Diet and Exercise Recommendations Using Forward Chaining Yunia Ikawati; Bariq Abrar Ramadhan
Journal of Advanced Vocational Information and Communication Technology Vol. 1 No. 1 (2026)
Publisher : ISAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/javict.v1i1.1475

Abstract

The rapid increase in lifestyle-related diseases such as obesity and hypertension highlight the urgent need for accessible and personalized digital health solutions. This study proposes and evaluates an interactive web-based expert system designed to deliver personalized diet and exercise recommendations using a forward chaining inference mechanism. The system analyzes individual user characteristics, including age, body mass index (BMI), health goals, dietary preferences, and physical activity levels, collected through a structured questionnaire. A knowledge base composed of expert-defined rules is employed to infer suitable diet plans (Mediterranean, low-fat, low-carbohydrate, and DASH diets) and exercise programs (cardio and strength training). The platform was developed using the Laravel framework and MySQL database, with a responsive user interface designed through Figma. System evaluation was conducted using black box testing and the System Usability Scale (SUS), which yielded a score of 78.38. The results demonstrate stable system functionality, fast response times, and high usability, indicating that the proposed system is effective in supporting personalized digital health recommendations. This research contributes to the field of health informatics by demonstrating the applicability of rule-based expert systems for personalized diet and exercise guidance.
Comparative Analysis of AWS EC2 and Heroku Hosting Performance on Interbank Transfer Application Using Atlantic Pedia API Mohammad Robihul Mufid; Dimas Ivanda Fauzi; Rijal Abbad Fakhrillah; Lutfi Zadeh Filoshof; Fahrudin Tamimi; Yunia Ikawati; Agung Teguh Setyadi
Journal of Advanced Vocational Information and Communication Technology Vol. 1 No. 1 (2026)
Publisher : ISAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/javict.v1i1.1477

Abstract

Amazon Web Services (AWS) EC2 is a cloud computing service that offers highly flexible and customizable infrastructure, giving users complete control over specific server configurations. Heroku, on the other hand, is a platform-as-a-service (PaaS) focused on ease of use and application management, making it ideal for developers who prioritize speed and simplicity. Optimal hosting performance is crucial, especially for interbank transfer applications, which require fast response and a smooth user experience. Therefore, this study aims to compare which hosting platform is most optimal for an interbank transfer application developed using the Atlantic Pedia API. The hosting performance testing method between AWS EC2 and Heroku was conducted comprehensively using Google PageSpeed Insights. The metrics measured included performance, accessibility, best practices, and SEO for both mobile and desktop views. The analysis results show that AWS EC2 excels in the Performance metric, with a score of 97/100 for Mobile and 100/100 for Desktop. For Accessibility, both EC2 views scored 92/100, Best Practices 79/100, and SEO 91/100. Meanwhile, Heroku showed a Mobile Performance of 89/100 and Desktop 92/100, but excelled in Mobile Accessibility at 100/100, followed by Best Practices 75/100 and SEO 91/100.
Visual Communication Strategy: The Effectiveness of Profile Videos in Increasing Awareness and Image of Religious Education Foundations: (A Case Study of Yusrotus Syafa’ah Al Yusfa Foundation) Agus Wibowo; Khozinatus Sadah; Muhammad Irsadul Ibad
Journal of Advanced Vocational Information and Communication Technology Vol. 1 No. 1 (2026)
Publisher : ISAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/javict.v1i1.1478

Abstract

The Yusrotus Syafa’ah Al Yusfa Foundation is a religious educational institution focusing on Qur’anic and tahfidz learning. Despite its active educational programs, the foundation experiences limited public exposure due to the absence of professionally designed visual communication media. This study aims to design, develop, and evaluate the effectiveness of a profile video as a strategic visual communication tool to increase public awareness and strengthen the institutional image. This research employs a Design and Development (D&D) approach, consisting of needs analysis, narrative and visual design, audiovisual production, and user-based evaluation. The product is a 4-minute-46-second profile video emphasizing emotional storytelling, cinematic visuals, and authentic documentation of institutional activities. The effectiveness of the video was evaluated through a post-test questionnaire administered to 17 respondents using a five-point Likert scale. The results indicate a satisfaction level of 92.2% (Very Satisfied category) and show that 88.9% of respondents gained new knowledge about the foundation after watching the video. These findings demonstrate that the developed profile video is highly effective in improving public awareness, enhancing message clarity, and strengthening the positive image and credibility of the institution. The study confirms that systematically designed audiovisual media can function not only as promotional tools but also as strategic visual communication instruments for non-profit and religious educational organizations.
Smart Home Implementation with Home Assistant Platform in Modern Housing Alan Tri Arbani Hidayat; M. Udin Harun Al Rasyid; Isbat Uzzin Nadhori; Yeremia Ega Wahyudi; Yoga Prastyo Bayu Laksono
Journal of Advanced Vocational Information and Communication Technology Vol. 1 No. 1 (2026)
Publisher : ISAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/javict.v1i1.1482

Abstract

The implementation of smart home systems using the Home Assistant platform in modern residential environment addresses residents’ needs for practical, effective, and energy-efficient home management. Although the smart home market is projected to grow by 16.3 until 2027, its adoption in Indonesia still faces challenges related to public understanding and device integration complexity. The developed system integrates temperature and humidity sensors, energy consumption measurement sensors, motion defection sensors, relays for device control, and an esp32 as the central control unit. Data from esp32 is transmitted in real-time to Firebase Real Time Database, then integrated with Home Assistant and Node-RED and add-ons for securing monitoring. Evaluation demonstrates effective performance in integrating devices from various vendors and protocols, as well as responsiveness of automation features. This development provides an efficient, cost-effective, and ease-adopted smart home implementation model, demonstrating how the open-source Home Assistant platform can enhance energy efficiency, comfort, and security for residents of modern housing in Indonesia.
Web-Based Monitoring and Control System for Aquaponics Using IoT and Fuzzy Logic Ranu Arga Noor Yuusufa; Nirwana Haidar Hari; Yudha Dwi Putra Negara; Khotibul Umam
Journal of Advanced Vocational Information and Communication Technology Vol. 1 No. 2 (2026)
Publisher : ISAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/javict.v1i2.1494

Abstract

Aquaponics integrates aquaculture and hydroponic cultivation to improve resource efficiency and support food security under constraints of limited land and water. Water quality is a critical determinant of aquaponics productivity; however, many small-scale systems still rely on manual and periodic monitoring, which limits timely intervention. This study proposes an Internet of Things (IoT)–enabled, web-based aquaponics monitoring and control system for catfish (Clarias gariepinus) cultivation integrated with water spinach (Ipomoea aquatica). The system acquires water quality parameters including temperature, pH, dissolved oxygen, and ammonia using multiple sensors connected to an Arduino Mega. Sensor data are transmitted in real time via an ESP communication module using the MQTT protocol through the HiveMQ broker and stored in a MongoDB database for real-time visualization and historical analysis. In addition, pump actuator control is implemented using fuzzy logic based on water temperature and ammonia concentration to regulate water circulation and provide an interpretable qualitative assessment of water quality. Experimental validation confirms reliable sensing, transmission, storage, and web-based monitoring in an aquaponics pond scenario. The end-to-end transmission delay from the microcontroller to the web application achieves an average of 0.369 s (369 ms), indicating near real-time performance suitable for continuous monitoring and control.
Development of an Information System for Coastal Tourism Industry Management in Jepara Regency Budi Soesilo; Yudha Dwi Putra Negara; Mukhamat Ainurrindo; Khoironi Khoironi
Journal of Advanced Vocational Information and Communication Technology Vol. 1 No. 1 (2026)
Publisher : ISAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/javict.v1i1.1495

Abstract

Based on the identified problems, the availability of tourism information remains suboptimal due to the rapid development of coastal tourist attractions and the increasing number of visitors. In addition, the information provided by the government through social media and official websites does not yet comprehensively present detailed and integrated information related to coastal tourism. Therefore, this study proposes the development of a system to assist visitors in selecting coastal tourist destinations according to their preferences. The system is implemented through web-based mapping of the coastal tourism industry in Jepara Regency using the Waterfall method. The proposed web-based coastal tourism industry information system provides comprehensive information on coastal tourist destinations and the related tourism industries, including visitor statistics, beach locations, entrance fees, accommodations, dining and leisure facilities, tourist attractions, as well as local micro, small, and medium enterprises (MSMEs) and their products located within the coastal areas. This system is expected to deliver accurate and complete information to potential tourists planning to visit coastal destinations in Jepara Regency.
IoT and Cloud System Implementation Based on FIWARE for Smart Home Application Angga Pradipta Kurnia Putra; Zaky Oktavianto Wahyu; Reksa Prastama Putra
Journal of Advanced Vocational Information and Communication Technology Vol. 1 No. 2 (2026)
Publisher : ISAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/javict.v1i2.1533

Abstract

Third-party smart home platforms raise significant security and privacy concerns due to their centralized hosting models. This study develops a decentralized, easily deployable smart home platform using the FIWARE IoT framework that enables users to host systems on private servers. The platform integrates FIWARE Generic Enablers (Orion, Keyrock, Wilma, IoT Agent) with custom web, mobile, and desktop applications, containerized using Docker Compose. Hardware nodes (NodeMCU ESP8266 with DHT11 sensors and relay modules) operate without a central gateway. The system successfully achieved full CRUD functionality across client applications, with automated Arduino sketch compilation and upload. However, performance testing revealed critical latency anomalies, with the Orion Context Broker exhibiting rare but severe response delays up to 10 seconds. While the platform successfully addresses privacy concerns and simplifies deployment, FIWARE's resource consumption and occasional latency spikes present optimization challenges requiring future work.
Virtual Lab Module Feature Development on ETHOL System for PHP Learning Sherly Maya Salsabilla; Mirta Chadhirotin Nachlah
Journal of Advanced Vocational Information and Communication Technology Vol. 1 No. 2 (2026)
Publisher : ISAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/javict.v1i2.1541

Abstract

Information technology in education has rapidly evolved, particularly in supporting distance learning systems. However, conventional e-learning platforms often lack practical components, limiting students’ ability to develop hands-on skills. This study addresses the need for an interactive learning environment by developing a virtual laboratory focused on PHP programming. The proposed system enables students to perform practical exercises in a web-based environment, simulating real laboratory activities. The virtual lab is integrated with the existing Learning Management System through web services, specifically ETHOL (Enterprise Technology Hybrid Online Learning) at EEPIS. The implementation of this system provides flexibility for students to access learning materials and conduct experiments anytime and anywhere. The results indicate that the virtual lab enhances students’ understanding of programming concepts and supports independent learning. Load testing demonstrated that the system handles 4,638 requests within 3 minutes with an average response time of 26 ms and a throughput of 27 requests per second on minimal cloud hardware (1 GB RAM, 1 vCPU). Responsiveness testing confirmed that the website functions properly on 100% of tested devices (2 desktop and 1 mobile resolutions). Therefore, the developed virtual lab can serve as an effective complementary tool in e-learning environments.
Voice Command Smart Home Control on Single-board Computer Using Google Speech API and Cosine Similarity Mochammad Ilham Maulana; Reksa Prastama Putra; Zaky Wahyu Oktavianto
Journal of Advanced Vocational Information and Communication Technology Vol. 1 No. 2 (2026)
Publisher : ISAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/javict.v1i2.1545

Abstract

The development of technology today is very fast and sophisticated. One example of technological developments is the smart home. A smart home is a house or building equipped with high technology that allows various systems and devices in the home to communicate with one another. This technology is very helpful for parents and people with disabilities in activities at home. One way of controlling smart homes currently being developed is voice control. However, some smart home devices do not yet have control features using voice commands in Indonesian. This study aims to create and test a smart home device that can be controlled by voice commands using the Google Speech-to-Text Application Programming Interface (API) as a medium for capturing and converting voice commands from users into text. The results of the conversion are processed using the Cosine Similarity method to determine what commands are given and which devices the user wants to control. This process is carried out on a Single Board Computer (SBC), specifically the Raspberry Pi. The system achieves up to 100% accuracy in quiet conditions with an average response time of 1001.4 ms. However, this accuracy drops to approximately 80% in noisy environments above 65dB, indicating limitations of the Google Speech API under high noise conditions.
Surrogate Assisted Multi Objective Optimization of a 2.4 GHz Yagi Antenna Using Gaussian Process Regression and MOPSO Joko Prasetyo; Ahmad Khairul Umam; Khoironi
Journal of Advanced Vocational Information and Communication Technology Vol. 1 No. 2 (2026)
Publisher : ISAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/javict.v1i2.1567

Abstract

This paper presents a surrogate‑assisted multi‑objective optimization approach for a 2.4 GHz Yagi–Uda antenna using Gaussian Process Regression (GPR) and Multi‑Objective Particle Swarm Optimization (MOPSO). The antenna performance is evaluated in terms of maximum gain and minimum Voltage Standing Wave Ratio (VSWR). Three key physical parameters—inter‑element spacing (gap), director length, and element diameter—are parametrically swept using CST Microwave Studio to generate training data. GPR models are employed as surrogate fitness estimators to approximate the nonlinear relationship between antenna geometry and performance metrics. These surrogate models are integrated into the MOPSO framework to efficiently explore the design space and obtain Pareto‑optimal solutions. The results demonstrate that the proposed method effectively identifying optimal pareto front trade‑offs between gain and VSWR, validating the effectiveness of the proposed approach.

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