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INDONESIA
JURNAL TEKNOLOGI DAN OPEN SOURCE
Published by Universitas Islam Kuantan Singingi
ISSN : 26557592     EISSN : 26221659     DOI : 10.36378/jtos
Core Subject : Science,
Computer Science & IT
Jurnal Teknologi dan Open Source menerbitkan naskah ilmiah. yang berkaitan dengan sistem informasi, teknologi informasi dan aplikasi open source secara berkala (2 kali setahun). Jurnal ini dikelola dan diterbitkan oleh Program Studi Teknik Informatika Fakultas Teknik, Universitas Islam Kuantan Singingi. Tujuan penerbitan jurnal ini adalah sebagai wadah komunikasi ilmiah antar akademisi, peneliti dan praktisi dalam menyebarluaskan hasil penelitian.
Arjuna Subject : -
Articles 486 Documents
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Comparative Forecasting of Kalimantan Palm Oil Production Using Classical, Machine Learning, and Deep Learning Models I Gusti Agung Putu Mahendra; Muhammad Ikhsan Wibowo; I Gusti Ayu Nandia Lestari
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 9 No. 1 (2026): Jurnal Teknologi dan Open Source, June 2026
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v9i1.5765

Abstract

Palm oil production forecasting in Kalimantan was important because production patterns differed across regions and changed over time. However, previous forecasting approaches often relied on limited classical models and did not sufficiently compare statistical, machine learning, and deep learning methods on regional panel time-series data. This study compared several forecasting models for palm oil production in Kalimantan using annual district and city-level data from 2010 to 2024. The dataset was transformed into panel time-series format, consisting of 56 regional series and 840 observations. Data from 2010 to 2022 were used for training, while data from 2023 to 2024 were used for testing. The evaluated models included Naive Forecast, Autoregressive Integrated Moving Average, Holt Linear Trend, Light Gradient Boosting Machine, Extreme Gradient Boosting, Long Short-Term Memory, Gated Recurrent Unit, and Neural Basis Expansion Analysis for Time Series. The results showed that Long Short-Term Memory achieved the best performance based on root mean squared error and coefficient of determination, while Naive Forecast performed best based on absolute and percentage error metrics. These findings indicated that deep learning was effective for reducing large prediction errors, but simple forecasting remained competitive for stable regional production patterns.
Analysis Of Continuance Intention Factors Among Muslim Pro App Users Using A Modified Expectation Confirmation Model (M-ECM) Nesha Putri Nazwa; Tri Suratno; Yolla Noverina
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 9 No. 1 (2026): Jurnal Teknologi dan Open Source, June 2026
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v9i1.5770

Abstract

The Muslim Pro application is the digital worship support platform with the highest download rate in Indonesia. Despite its high popularity, the application has experienced a consistent downward trend in ratings due to various technical and content issues. This study aims to analyze the factors influencing users' continuance intention to use the Muslim Pro application by integrating the Information Systems Success Model (ISSM) and the Expectation-Confirmation Model (ECM). This quantitative research involved 161 respondents who are active users in Indonesia, selected through a purposive sampling technique. Data analysis was conducted using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) method with SmartPLS 4 software. The results of testing the 10 hypotheses showed that 6 hypotheses were accepted and 4 hypotheses were rejected. Satisfaction and Perceived Usefulness proved to be the main drivers of Continuance Intention. A unique finding in this study indicates that System Quality does not have a significant effect on Perceived Usefulness or Confirmation due to the high frequency of intrusive advertisement interruptions. It can be concluded that the users' intention to continue using Muslim Pro is purely driven by the functionality of its specific worship features, regardless of the decrease in comfort regarding system quality.
Design to Build an Arduino-Based Heart Rate Detection Device M. Ariq Zhilal Manafi; Muhammad Ihsan
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 9 No. 1 (2026): Jurnal Teknologi dan Open Source, June 2026
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v9i1.5788

Abstract

The development of technology in the modern era is currently taking place very rapidly and has had a significant impact on various aspects of human life, one of which is in the health sector. Advances in electronics technology and embedded systems have allowed the creation of various health devices that are portable, practical, and easy to use by the wider community. In the health sector, monitoring the condition of the human body is very important, especially in knowing a person's vital condition. One of the vital parameters that is often used as an indicator of health is heart rate. However, in reality, heart rate detection devices available on the market generally have relatively expensive prices and not all people have access to these tools. The researcher designed an Arduino Uno-based heart rate detection device that is simple, economical, and easy to use This research designed a biometric system that measures heart rate and body temperature while based on Arduino Uno and heart rate sensors. The system is designed to be low cost, easy to use, and can be upgraded again in the future.
Designing Water Quality Monitoring Application Using Esp8266 Revi Margelia; Muhammad Ihsan
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 9 No. 1 (2026): Jurnal Teknologi dan Open Source, June 2026
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v9i1.5791

Abstract

Water is the main need for human life. The decline in water quality due to household, industrial, and environmental waste requires a monitoring system that is able to work quickly, sustainably, and accurately. Continuous monitoring of water quality has an important role in supporting effective water resource management. This research develops an Internet of Things (IoT)-based water quality monitoring system by utilizing ESP8266 microcontrollers. IoT-based water quality monitoring systems in aquascapes are able to control the temperature and pH of the water so that they remain within the ideal range for fish life. In this study, how to design and build an Internet of Things based water quality monitoring system using ESP8266 microcontroller. The developed system is expected to be able to read water quality parameters in the form of pH values and water turbidity levels in real-time through integrated sensors, then send the data to the IoT monitoring application and Telegram notifications so that it can be easily accessed by users. Thus, the developed system is suitable for IoT-based water quality monitoring.
Implementation Of A Personalized Healthy Food Menu Recommendation System Using Content-Based Filtering Based On User Profiles Dian Dian Dwi Setyawati; Pipin Widyaningsih; Ridwan Dwi Irawan
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 9 No. 1 (2026): Jurnal Teknologi dan Open Source, June 2026
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v9i1.5794

Abstract

This study implemented a personalized healthy food menu recommendation system using content-based filtering and cosine similarity. The system translated user characteristics, dietary goals, preferences, allergies, and health-related restrictions into menu attributes. The pilot dataset contained 10 healthy menus represented by 15 binary attributes. Recommendation performance was evaluated offline using 10 controlled user-profile scenarios with realistic age, sex, weight, height, and activity values. Basal metabolic rate and total daily energy expenditure were calculated with the Mifflin-St Jeor equation. After allergen filtering, 94 user-menu candidate pairs were assessed. Reference relevance labels were determined before ranking based on meal-category compatibility, absence of allergen conflicts, and fulfillment of at least two target attributes. At a cut-off of three recommendations, the system achieved macro Precision@3 of 0.7000, Recall@3 of 0.9167, F1@3 of 0.7481, nDCG@3 of 0.8948, and Hit Rate@3 of 1.0000. All 10 functional test cases passed, and no allergen-conflicting menu appeared in the final top-three results. The findings indicated that the system produced relevant and traceable recommendations, although the small pilot dataset limited generalizability.
Design and Implementation of an IoT-Based Smart Chicken Feeder System Using an ESP32 Microcontroller M Yusfahmi; Nofri Wandi Al-Hafiz; Aprizal; Nacha Artha Hendrawan
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 9 No. 2 (2026): Jurnal Teknologi dan Open Source, December 2026
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v9i2.4823

Abstract

Manual chicken feeding still faces various obstacles, such as inaccurate scheduling, dependence on the presence of farmers, and less than optimal monitoring of feed availability, which can affect the efficiency of farm management. This study aims to design and implement an Internet of Things (IoT)-based Smart Chicken Feeder system using an ESP32 microcontroller to automate chicken feeding and monitor feed availability in real-time. The research method uses a prototype approach that includes needs analysis, hardware and software design, implementation, and system testing. The hardware consists of an ESP32, a servo motor as an actuator to open and close the feed chute, an HC-SR04 ultrasonic sensor to detect feed height, and an IoT platform as a monitoring medium. Tests were conducted on the timeliness of feeding, sensor detection accuracy, actuator response, and internet communication stability. The test results show that the system is able to carry out automatic feeding according to schedule, detect feed conditions properly, and transmit monitoring information in real-time. The developed system can improve feed use efficiency, reduce errors due to human factors, and support the implementation of the smart farming concept in chicken farms.

Page 49 of 49 | Total Record : 486

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