JURNAL TEKNOLOGI DAN OPEN SOURCE

Implications of AI Technology on Higher Level Education Development in Batam

Eryc Eryc, William Nurdin Wijaya, Indasari Deu — Mon, 28 Apr 2025 09:04:32 +0700

This study examined artificial intelligence impact on higher education in Batam, focusing on its potential to improve teaching, learning, and administration while addressing concerns such as reduced human interaction and ethical dilemmas. The research aimed to provide insights into the effective integration of AI to enhance educational outcomes and promote innovation in Batam. Data from 331 college students in Batam were collected using Cluster Disproportional Random Sampling and analyzed through PLS-SEM, examining seven variables. Perceived Risk did not significantly impact Attitude, as students perceived AI uncertainty but remained unaffected, while Facilitating Conditions weakly influenced Behavioural Intention, likely due to students prioritizing other factors and having independent access to AI via personal devices. AI's impact on education showed that factors such as resources, ease of use, and performance shaped students perspective, although the study's limitations include a small sample size in each university and a lack of demographic diversity

Student Satisfaction and Continuance Intention of E-learning System: University Student Perspective

Heru Wijayanto Aripradono, Surya Tjahyadi, Winson Kennedy — Mon, 28 Apr 2025 09:11:26 +0700

The development of technology has also had an impact on changes in the digitalization of the world of education, which we know as online learning. Therefore, this study aims to examine the factors that influence student satisfaction and continuance intention in using the LMS-type e-learning system. This research uses ECM as model and quantitative approach by collecting questionnaires from 443 students in Batam City who come from different universities. After the questionnaire was collected, the research hypothesis variables were tested using SEM-PLS. The results of this study found that various indicators of interactivity, course content, and design quality positively significantly affect perceived usefulness, confirmation, and satisfaction, which then affects students continuance intention to continue to use the e-learning system to support the learning process. This research shows that students in Batam are satisfied and want to continue using the e-learning system as their learning support with interactivity and adequate course content and design quality. Even so, the development of e-learning systems must still be carried out in line with technological developments, and students need to maximize the results, satisfaction, and continuance of their intention towards the use of e-learning systems.

Implementation of Data Mining in Measuring Student Satisfaction at IAIN Kerinci

Rian Rafiska — Fri, 30 May 2025 14:48:10 +0700

Measuring student satisfaction is crucial, especially considering the increasing competition in the field of education along with the advancement of knowledge and technology. It is essential to assess whether the services expected by students align with the services they actually receive. Evaluating student satisfaction can significantly help higher education institutions improve service quality, which in turn may lead to an increase in student enrollment.This study employs a quantitative method using one of the data mining techniques—classification—through the C4.5 algorithm to measure student satisfaction levels. The population of this research includes active students at IAIN Kerinci, with a sample size of 100 respondents. The students serve as the subjects providing evaluations or opinions on variables characterized by Tangibles, Reliability, Responsiveness, Assurance, and Empathy.The data is processed using data mining classification techniques, with testing conducted through RapidMiner software. The results of the analysis and testing indicate that data mining effectively classifies the variables in measuring student satisfaction, generating 10 decision tree rules with an accuracy rate of 98.22%. These resulting rules are expected to serve as a foundation for making informed decisions on actions needed to enhance student satisfaction.

Database Consistency Improvement In Job Offering System Using Normalization Method

Fahrir Rijal Fahmi Maulana, Febriliyan Samopa — Fri, 30 May 2025 15:11:12 +0700

The role of information systems in modern life today is very important, especially in a company to make strategic decisions or actions. Information systems must be free from data anomalies. Data anomalies can occur due to poor database structure design. This happens in job offering systems that still have data anomalies. This study uses the normalization method to verify the quality of the database in the job offering system. Normalization is a technique that focuses on grouping several attributes into an entity based on certain criteria to achieve normal form. Normalization aims to maintain data consistency and integrity. The job offering information system has two databases to carry out all its functions. The first database is for the needs of processing job offering information system data. The second database is for the needs of processing company organizational structure data. This study has identified both databases of the job offering system. There are 2 violations of the normalization provisions found. Violations occur in the employee and schedule_wwc tables which do not follow the 3NF normalization provisions. Improvements need to be made to the database to improve data consistency in the job offering system. This study has made improvements by modeling data according to the data needs of the job vacancy information system. The modeling produces a conceptual data model (CDM), a logical data model (LDM) and a physical data model (PDM). The modeling results have been reverified using the normalization method and are free from any violations.

Sentiment Analysis of Loudspeaker Regulations in Houses of Worship on Social Media Using Support Vector Machine Algorithm

Selly Novia Manihuruk , Mhd. Furqan, Aidil Halim Lubis — Fri, 30 May 2025 15:33:05 +0700

Social media is an online platform where users can share content or interact with each other through discussions and debates that involve sentiments, such as agreement or disagreement on various topics. User sentiments on social media can be utilized in multiple ways, such as to gauge public opinion regarding the issuance of Circular Letter Number SE 05 of 2022 by the Ministry of Religious Affairs, which provides guidelines for the use of loudspeakers in mosques and prayer rooms. Due to the high volume of comments on social media regarding this circular, a sentiment analysis system is necessary. The sentiment analysis system in this research employs the Support Vector Machine (SVM) algorithm to classify comments as positive or negative. A total of 350 comments were collected from each social media platform—Facebook, Twitter, YouTube, and Instagram—about the issuance of the circular. These comments were divided into 250 for training data and 100 for testing data on each platform. The training data from all platforms were combined, resulting in a total of 1000 training data. Based on system testing using the Support Vector Machine algorithm, the accuracy achieved was 72%. This result reflects the system's capability to analyze sentiments related to the guidelines for using loudspeakers in mosques and prayer rooms as stated in the circular

Analysis and Design of Monolithic System Architecture Migration to Microservices at PT. MALINDO Conceptual Approach

Ego Oktafanda, Nofri Wandi Al-Hafiz, Abdul Latif; Firman Santosa — Fri, 30 May 2025 16:27:22 +0700

This study analyzes the transition from a monolithic architecture to a microservices architecture within a corporate environment, specifically at PT.MALINDO. While the monolithic architecture was once effective, it now presents several challenges, including maintenance complexity, limited scalability, and frequent occurrences of deadlocks. The analysis highlights the growing need for a more adaptive and flexible system to respond to dynamic business requirements. In this context, a microservices architecture is proposed as a solution to overcome the limitations of the monolithic approach. Microservices break down applications into small, independent services, enabling easier and more efficient development, deployment, and maintenance. By using components such as an API Gateway and message brokers like Apache Kafka, inter-service communications can be managed more effectively, ensuring improved system performance and resilience. The findings indicate that transitioning to a microservices architecture can significantly enhance the system's performance, flexibility, and scalability. The resulting hypothesis suggests that adopting microservices will offer long-term benefits for PT.MALINDO, particularly in addressing system complexity and improving responsiveness to evolving business needs. Recommendations include implementation strategies and change management practices necessary to ensure a smooth and low-risk transit

Sentiment Analysis Related To Covid-19 Vaccination On Social Media Using The K-Nearest Neighbor (K-NN) Method

Amanda Novrianty, Mhd. Furqan, Sriani Sriani — Fri, 30 May 2025 16:46:00 +0700

Coronavirus 19 (COVID-19) has become a topic of great concern in the past two years. To anticipate the spread of the virus, the government has made various efforts, one of which is by procuring a COVID-19 vaccination to increase the body's immunity. In carrying out the program, the government urges the public to use social media as a means of disseminating information regarding the COVID-19 vaccination. Facebook is one of the most popular social media and is chosen by agencies as a medium of information. Information regarding the vaccination is shared by the Ministry of Health of the Republic of Indonesia through its Facebook Page and the public can provide opinions in the form of comments. Given that the comments are numerous and lengthy if you have to read the manual, it is difficult to classify which one corresponds to the positive, negative or neutral opinion class, so a system is needed to analyze them. This sentiment analysis system uses the K-Nearest Neighbor (K-NN) method to classify positive, negative and neutral opinions. This study uses 750 comments obtained from posts in November 2021 with the keywords 'vaccination' and 'vaccine', with the distribution of 700 training data and 50 test data. Furthermore, the comments are pre-processed with the stages of case folding, filtering, tokenizing, normalization, stopwords and stemming, then weighted using the TF-IDF feature. System testing is carried out using the K-Nearest Neighbor (K-NN) method with a value of k = 1, k = 3, k = 5, k = 7 and k = 9 . 1 and f-measure of 0.71428571428571. Meanwhile, the lowest accuracy value is at the value of k = 7 and k = 9 with an accuracy of 0.66 and an error rate of 0.34.

Implementation of Mobile-Based E-Kost System to Optimize Online Search, Booking, and Payment

Baroto Samadyo, Arif Pramudwiatmoko — Fri, 30 May 2025 17:20:16 +0700

Rapid technological developments have changed the process of searching for boarding houses, which has been done manually through brochures, pamphlets, or banners. These conventional methods are considered inefficient because of their limited reach and the time required, especially for prospective tenants from outside the area. This study designs and develops a mobile-based e-boarding house application with features such as searching, booking, and digital payments, using the Rapid Application Development (RAD) methodology. This application makes it easier for users to find boarding houses that suit their wishes while making it easier for boarding house owners to manage room availability, tenant data, and payment history in a structured manner. The test results show that the e-boarding house application runs optimally without technical constraints and is effective in meeting user needs. By providing digital solutions, this application can increase the efficiency of searching and managing boarding houses, so that the process becomes faster, more practical, and more modern. Implementing this system provides significant benefits for prospective tenants and boarding house owners, namely increasing accessibility and management in the boarding house industry.

Application of COBIT 2019 Design Factors in Strengthening IT Governance in the Palm Oil Plantation Sector

Joe Yuan Mambu, Reynoldus Andrias Sahulata, Sherley Tambanua, Jacklin Pangau — Wed, 04 Jun 2025 00:00:00 +0700

Application of Ensemble Machine Learning Methods for Aspect-Based Sentiment Analysis on User Reviews of the Wondr by BNI App

Rendi Hardiartama, Amalia Anjani Arifiyanti, Seftin Fitri Ana Wati3 — Wed, 04 Jun 2025 00:00:00 +0700

This study analyzes user perceptions of the Wondr by BNI app using Aspect-Based Sentiment Analysis (ABSA) and a stacking ensemble learning approach on user reviews. Data were collected from the Google Play Store and App Store through scraping, then processed and labeled. The study involves two classification stages: aspect identification and sentiment classification for each aspect. The stacking ensemble model without resampling showed the best performance, with F1-scores of 99.4% for UI (User Interface), 99.3% for Authentication, and 99% for Transaction. For sentiment classification, F1-scores reached 82.2% User Interface (UI), 87.8% (Authentication), and 92.4% (Transaction). The use of LIME (Local Interpretable Model-Agnostic Explanations) improved model interpretability by highlighting keywords influencing the classification results. The final output of this research is a website capable of performing aspect-based sentiment classification

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 — Wed, 04 Jun 2025 00:00:00 +0700

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

Wed, 04 Jun 2025 00:00:00 +0700

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.