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Implementation of Data Mining in Measuring Student Satisfaction at IAIN Kerinci Rian Rafiska
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.v8i1.3997

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.

Memomath: Educational Game Application for Elementary School Children in Special Inclusion Classes for Students with Slow Learner Diagnosis Jingga, Trinovita Zuhara; Novita, Rina; Putri , Ega Evinda; Febrina , Widya; Putera, Perdana
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 7 No. 2 (2024): Jurnal Teknologi dan Open Source, December 2024
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v7i2.3999

Memomath is a game-based educational application designed to support the learning of children diagnosed as slow learners in elementary school inclusion classes. This application integrates mnemonic-based math, reading, and memory exercises to improve students' academic skills and learning motivation. This research was conducted at SDIT Madani Islam Terpadu Kota Payakumbuh, an inclusive school that provides special programs for students with slow learning needs. The waterfall method was applied in the development of this application, involving the stages of needs analysis, design, implementation, testing, and maintenance. The test results showed that this application was effective in increasing engagement and understanding of concepts in students, especially at the age of 7-12 years. The data also revealed the relationship between age and duration of application use, providing important insights for design optimization. This study shows that a targeted gamification approach can make a significant contribution to the education of children with special needs, especially in helping them overcome learning challenges.

Database Consistency Improvement In Job Offering System Using Normalization Method Fahrir Rijal Fahmi Maulana; Febriliyan Samopa
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.v8i1.4022

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 Manihuruk , Selly Novia; Mhd. Furqan; Lubis , Aidil Halim
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.v8i1.4043

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

Sentiment Analysis Related To Covid-19 Vaccination On Social Media Using The K-Nearest Neighbor (K-NN) Method Novrianty, Amanda; Furqan, Mhd.; Sriani, Sriani
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.v8i1.4156

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.

Analysis and Design of Monolithic System Architecture Migration to Microservices at PT. MALINDO Conceptual Approach Oktafanda, Ego; Al-Hafiz, Nofri Wandi; Latif, Abdul; Santosa, Firman
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.v8i1.4265

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

Implementation of Mobile-Based E-Kost System to Optimize Online Search, Booking, and Payment Samadyo, Baroto; Pramudwiatmoko, Arif
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.v8i1.4270

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.

Monitoring Water Quality in The Well-Water Processing System to Make Drinkable Water Based on IoT Ponda, Hendry; Rahmalisa, Uci; Saputra , Haris Tri; Melyanti, Rika
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 7 No. 2 (2024): Jurnal Teknologi dan Open Source, December 2024
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v7i2.4271

Indonesia is also inseparable from problems related to clean water. The city of Pekanbaru is currently experiencing rapid growth. In some big cities, the difficulty of clean water suitable for consumption is commonly felt by some residents, for example in Tuah Karya district – Pekanbaru. Moreover, this area is prone to flooding so the quality is getting worse because it smells and is cloudy. To produce clean water suitable for drinking that can be consumed by all levels of society. Water quality monitoring is also easy to do with IoT-based water quality monitoring tools. The goal of developing this prototype is to improve the healthy standard of living of the community by meeting the clean water needs of the prototype to be built. Seen from the main indicators, TDS and PH = TMS (Not Eligible) were obtained and followed by several other indicators that were still TMS. The results of the sample test showed that the water did not belong to the category of clean water and was suitable for consumption. After the water source of the drilled well is filtered using a tool made (without a manganese filter), the main indicators of TDS and pH are qualified.

Application of COBIT 2019 Design Factors in Strengthening IT Governance in the Palm Oil Plantation Sector Mambu, Joe Yuan; Sahulata, Reynoldus Andrias; Tambanua, Sherley; Pangau, Jacklin
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.v8i1.4281

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 Ensemble Machine Learning Methods for Aspect-Based Sentiment Analysis on User Reviews of the Wondr by BNI App Hardiartama, Rendi; Arifiyanti, Amalia Anjani; Ana Wati3, Seftin Fitri
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.v8i1.4297

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

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Contact Name
-

Contact Email
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Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kab. kuantan singingi,

Riau

INDONESIA