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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 372 Documents
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Design and Development of the Boarding House Management Information System (SIMKO) Using Laravel with Agile Methodology Mirza Khazim Nugraha; Nur Cahyo Wibowo; Iqbal Ramadhani Mukhlis
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.4304

Abstract

The manual management of boarding houses often causes various problems, such as inaccurate recording of transactions and tenant data, lack of information for prospective tenants, and unstructured booking and payment processes. This research aims to design and build a web-based Boarding House Management Information System (SIMKO) using the Laravel framework and the Agile development method. Data is collected through literature studies, interviews with boarding house owners, and direct observation of boarding houses in the Sedati area. The result of this research is an integrated information system with main features such as boarding house search, filing complaints, recording tenant and transaction data, booking rooms, financial reports, and digital payment support through Xendit. The development process is iterative and flexible to adjust to user needs. This system is expected to increase transparency, as well as the overall quality of boarding business management services.
Design of Web-Based Financial and Product Management System for Onemens Leather Admin Using the Agile Method Denty Nirwana Bintang; Jovanca Blesshery Sinaga; Lutfi Riani; Afnan Zahra; Muhammad Nasir; Aditya Wicaksono
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.4310

Abstract

This research aims to design and develop a web-based financial and product management system for Onemens Leather to address issues related to manual data management, which often leads to inefficiencies and errors in record-keeping. The system development employs the Agile Development methodology, which supports a flexible and adaptive software development process in response to user needs. The system is built using PHP programming language with the Laravel framework, and MySQL as the database management system. The outcome of this research is an interactive website providing key features such as a business performance dashboard, real-time product stock management, transaction recording, and automatic and structured reporting of inventory and financial data. The implementation of this system has proven to improve operational efficiency, accelerate data entry and reporting processes, enhance data accuracy, and support faster, more precise decision-making based on reliable data.
Optimization of Random Forest Model with SMOTE for Fetal Health Classification Based on Cardiotocography Latif, Abdul; Siti Khotimatul Wildah
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.4360

Abstract

Fetal health during pregnancy is a crucial aspect in ensuring the optimal growth and development of a child, particularly during the golden period of life from the womb to the age of two. In the medical field, monitoring fetal conditions is vital to detect potential risks as early as possible. One of the tools commonly used in this process is cardiotocography (CTG), which provides essential data on fetal heart activity and movement. With technological advancements, machine learning-based approaches are increasingly being utilized to process CTG data more effectively. However, a major challenge in classifying medical data such as CTG lies in class imbalance, where the distribution between majority and minority classes is uneven. This study evaluates the effectiveness of the Synthetic Minority Over-sampling Technique (SMOTE) in addressing this imbalance and assesses the performance of the Random Forest algorithm in classifying fetal health conditions. The results show that the combination of SMOTE and Random Forest achieves the best performance compared to other methods, with an accuracy of 94.40%, precision of 94.45%, recall of 94.40%, and an F1-score of 94.38%. These findings indicate that SMOTE is effective in improving the representation of minority classes, while Random Forest demonstrates superior and consistent classification performance on CTG data
Defguard Implementation for Remote Access Management Using WireGuard VPN at PT. Esta Dana Ventura Bany, Ervan Jefferson; Hadi Arfian, Muhamad
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4369

Abstract

This study examines the development and deployment of a remote access management system by integrating Defguard with the WireGuard VPN at PT. Esta Dana Ventura. The company previously faced unstable connections and inefficient user administration due to the limitations of its MikroTik-based PPTP and L2TP VPN solutions. To overcome these challenges, a new architecture was designed using WireGuard for its lightweight performance and Defguard for centralized and streamlined access control. The system was implemented within a Docker environment and evaluated using key performance indicators such as latency, throughput, packet loss, and connection stability across multiple internet service providers. The results demonstrated that the WireGuard-based configuration delivered lower latency, zero packet loss, and secure connections without DNS leakage, while token-based authentication significantly simplified user management. Overall, the new system enhanced connection reliability, improved security, and provided scalable remote access for geographically distributed users, making it an effective replacement for the legacy VPN infrastructure.
Analysis of MyPertamina Application Acceptance Using a Modified Technology Acceptance Model (TAM) Sifaul Anam, M. Ailza; Faroqi, Asif; Lathif Mardi Suryanto, Tri
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.4382

Abstract

The rapid development of digital technology has driven PT Pertamina to launch the MyPertamina application as a solution to support the efficient and transparent distribution of subsidized fuel. However, the implementation of this application has encountered various technical complaints from users, including bugs, registration difficulties, and transaction issues, raising concerns about public acceptance of the technology. This study aims to analyze the factors influencing the acceptance of the MyPertamina application using the Technology Acceptance Model (TAM), which is modified by incorporating external variables such as perceived trust, perceived risk, perceived security, and service quality. A quantitative approach using Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to analyze data from 391 respondents. The findings indicate that service quality, perceived usefulness, and perceived trust significantly affect the attitude toward use, which subsequently influences the intention to use the application. In contrast, perceived ease of use, perceived risk, and perceived security were found to have no significant effect on the attitude toward use. These results provide strategic insights for the development and improvement of MyPertamina's digital services to enhance public acceptance.
Frontend Design and Development of Thesis Management Application Using NextJS in Physics Study Program UPN “Veteran” Jatim Adimas Syiraa Setiabudhi; Eka Dyar Wahyuni; Nur Cahyo Wibowo
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.4385

Abstract

In higher education institutions, managing undergraduate thesis administration remains a challenge, particularly in the Physics Study Program, which currently lacks an system that can manage the process of students thesis. To address this issue, the Thesis Management Application was developed as a solution to manage thesis administration through a web-based system accessible to Students, Lecturers, Thesis Coordinators, and Study Program Coordinator. This study focuses on frontend web development using the Next.js framework and APIs. The application offers key features including authentication, pre-proposal submission, thesis advisor assignment, seminar and examination management, and submission of graduation documents. The development process followed the Scrum methodology over six sprint iterations. The application was tested using both black-box testing and user acceptance testing. A total of 177 were tested using black-box testing, all of which received a passed status. User Acceptance Testing was conducted across the four user roles mentioned earlier, with all features receiving accepted status Finally, the system was deployed on the Vercel cloud hosting server, allowing public access for users.
Backend Design and Development of Thesis Management and Scheduling Application Using Rule-Based Algorithm in Physics Department UPN “Veteran” Jatim Andhika Rizky Aulia; Eka Dyar Wahyuni; Reisa Permatasari
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.4386

Abstract

Thesis administration in higher education can be complex, especially in programs like Physics that previously lacked a structured system for managing thesis activities and seminar schedules. To address this, a backend system was developed to streamline these processes using a rule-based algorithm. The system supports multiple user roles—including students, lecturers, thesis coordinators, program coordinators, and administrators—by providing web-accessible API services. Key features include user authentication, pre-proposal submission, advisor assignment, seminar scheduling (proposal and final), oral examination coordination, and graduation document submission. The development followed the Scrum methodology over six sprint cycles, with each cycle aimed at improving functionality and ensuring system stability. To ensure the system met all functional requirements, black-box testing was conducted. The final version was deployed on a cloud hosting platform using Cloud Run, enabling public access to its API services. This solution is intended to enhance efficiency, reduce administrative workload, and provide a centralized, accessible platform for all stakeholders involved in the thesis process.
Creation of Appsheet-Based Vendor Database System at Savoy Homann Hotel Purchasing Division Sawitri, Amalina; Raharso, Sri; Novalia, Sherry
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.4390

Abstract

The tourism industry in Indonesia is experiencing rapid development. One of these industries is hospitality as a place for tourists to stay. In carrying out its operations, the hotel depends on vendors to meet the needs of goods and services. Therefore, the vendor selection stage needs to be done properly. An improper selection process can result in a mismatch between the goods received and the needs of the hotel. Based on these problems, this project was created with the aim of building an Appsheet-based vendor database system that contains complete information about vendor data and quality to support a better decision-making process. This project began with a needs analysis through interviews with Savoy Homann Hotel Purchasing. In addition, a literature study was conducted as a reference for designing solutions. Next, the system was developed and tested using the Blackbox Testing method and interviews. As a result, the system successfully fulfills all the company's needs, ranging from vendor data, product quality, to performance ratings. The test shows that the features run well and according to plan. In conclusion, this vendor database system effectively helps the Purchasing division in managing the procurement of goods and services more efficiently, structurally, and optimally.
Implementation of Forward Chaining in a Web-Based Expert System for Passport Services Handoko Putra, Dwi; Rahditiantoro, Nurabiyyu
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.4397

Abstract

In the digital era, technology has become a crucial component in public services. The Class I Immigration Office TPI Yogyakarta is experiencing an increase in passport applicants, necessitating more efficient service delivery. An Expert System, which simulates the knowledge of a human expert, can enhance the efficiency of passport services by gathering and organizing knowledge within a database. Expert Systems, which have been widely applied in the healthcare sector, also hold significant potential in passport services. Many passport applicants lack a clear understanding of the required information, leading to confusion and delays. An Expert System helps applicants access accurate information regarding passport types and provides recommendations for the most suitable option. It also improves service quality by reducing errors and saving time. The selection of an Expert System is based on its ability to effectively store and manage expert knowledge, while offering accurate and fast solutions and recommendations. This system benefits passport applicants, immigration officers, and the government by improving the efficiency and effectiveness of public services and increasing public satisfaction. Additionally, the Expert System is designed to be flexible and adaptable to changes in regulations or procedures.
Performance Comparison of K-Means Algorithm and BIRCH Algorithm in Clustering Earthquake Data in Indonesia with Web-Based Map Visualization Baromim Triwijaya; Setyoningsih Wibowo; Nur Latifah Dwi Mutiara Sari
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.4400

Abstract

This study applies the K-Means and BIRCH algorithms to cluster earthquake data in Indonesia based on geographic coordinates (latitude and longitude), depth, and magnitude from 2008 to 2023. Due to its position at the intersection of three major tectonic plates, Indonesia is highly prone to earthquakes, making the mapping of vulnerable regions essential for disaster risk reduction. K-Means is selected for its simplicity and clustering effectiveness, while BIRCH is known for its scalability and efficiency in processing large datasets. The clustering process involves data preprocessing and normalization, followed by determining the optimal number of clusters using the Elbow method. Initial findings indicate that K-Means produces more distinct and well-separated clusters than BIRCH, with Silhouette Scores of 0.3501 and 0.2247, respectively. However, after expanding the dataset to 121,123 records and incorporating additional attributes such as mag_type, phasecount, and azimuth_gap, BIRCH demonstrated a significant improvement in performance, achieving a Silhouette Score of 0.3489—surpassing K-Means, which dropped to 0.1293. These results suggest that BIRCH is more effective for clustering large and complex datasets. The final clustering results are visualized on a web-based map to support spatial analysis and the identification of earthquake-prone zones.

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