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INDONESIA
Sistemasi: Jurnal Sistem Informasi
Published by Universitas Islam Indragiri
ISSN : 23028149     EISSN : 25409719     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Sistemasi adalah nama terbitan jurnal ilmiah dalam bidang ilmu sains komputer program studi Sistem Informasi Universitas Islam Indragiri, Tembilahan Riau. Jurnal Sistemasi Terbit 3x setahun yaitu bulan Januari, Mei dan September,Focus dan Scope Umum dari Sistemasi yaitu Bidang Sistem Informasi, Teknologi Informasi,Computer Science,Rekayasa Perangkat Lunak,Teknik Informatika
Arjuna Subject : -
Articles 920 Documents
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Integration of Geolocation and Real-Time Data for Optimizing Boarding House Search in Mobile Applications Ardi, Abdullah; Aufar, Yazid; Syaputra, Aldo Eko; Saputra, Memed
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.4530

Abstract

This study focuses on the development and evaluation of a mobile-based boarding house search application that integrates geolocation technology and real-time data, with implementation in the Banjarmasin area. The application is designed to help users easily find boarding houses based on their current location, while providing up-to-date information on room availability, pricing, and facilities. Testing showed that the application performs optimally across various devices, with an average response time of 2.5 seconds and efficient resource usage. A survey involving 100 users in Banjarmasin revealed that 94% of respondents were satisfied with the ease of navigation and the accuracy of the information provided. The implementation of real-time data significantly increased user trust by up to 90%, while the location-based search feature accelerated the boarding house search process by 40%. In addition, the application contributed to a 20% increase in boarding house occupancy rates in Banjarmasin after three months of use by property owners. This research offers a significant contribution to the development of mobile applications in the housing sector.
Analysis of User Adaptation to the My Capella Application based on the Coping Model of User Adaptation (CMUA) Mutia, Risma; Megawati, Megawati; Afdal, M.; Permana, Inggih
Sistemasi: Jurnal Sistem Informasi Vol 14, No 4 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i4.5328

Abstract

The My Capella application developed by PT Capella Dinamik Nusantara was designed to facilitate customer access to digital services, particularly for booking Honda motorcycle servicing. However, its use still encounters several challenges, especially regarding user adaptation. These include difficulties in understanding and utilizing features, a complex interface, and insufficient user guidance. This study aims to analyze and identify user adaptation behavior toward the My Capella application in the Pekanbaru area using the Coping Model of User Adaptation (CMUA), which evaluates how users respond to new technologies through cognitive and emotional processes. The research findings support four accepted hypotheses: opportunity appraisal significantly influences problem-focused adaptation; secondary appraisal significantly influences both problem-focused and emotion-focused adaptation; and threat appraisal significantly influences problem-focused adaptation. The strongest effect was observed in the relationship between secondary appraisal and problem-focused adaptation, with a t-statistic of 7.259 > 1.960. These findings indicate that users respond to the My Capella application both cognitively and emotionally, aligning with the CMUA framework and reflecting adaptation processes that are both problem-focused and emotion-focused. Therefore, it is recommended that application developers provide interactive training modules, regular outreach or user engagement sessions, and improvements to the user interface (UI/UX) design to make it more intuitive. These efforts can enhance users' understanding and comfort in using application features—especially during system updates.
Development of an AI-Based Self-Diagnosis System for Tropical Diseases Nasri, Muhammad Haris; Wibisanaa, Bayu; Widyawati, Lilik
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.4650

Abstract

Tropical diseases are common in tropical and subtropical regions and are often difficult to diagnose due to symptoms that resemble other conditions and limited access to healthcare facilities. This study aims to develop a self-diagnosis application that integrates the Certainty Factor and Dempster-Shafer methods to improve the accuracy and reliability of tropical disease diagnosis. The application is expected to assist the public in conducting preliminary diagnoses independently, enabling timely treatment and reducing mortality and morbidity rates. The novelty of this research lies in the integration of these two artificial intelligence methods, offering an innovative solution to enhance diagnostic capabilities. The system achieved an accuracy rate of 83% based on testing, with the Certainty Factor method addressing uncertainty in symptom inputs, while the Dempster-Shafer method complements its limitations by managing uncertainty more adaptively. This combination enables more comprehensive diagnostic recommendations. However, challenges remain in cases with limited symptom data, indicating the need for further development to enhance algorithm performance and expand the clinical database
Application of Machine Learning in Predicting Bus AKAP Ticket Fare in Holiday Season Almanda, Rifandi; Elida, Tety
Sistemasi: Jurnal Sistem Informasi Vol 14, No 5 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i5.5350

Abstract

The construction of the Trans Java Toll Road has intensified competition in the intercity bus (AKAP) industry, prompting bus operators (PO) to formulate strategies to maximize revenue. During holiday and festive seasons, operators typically raise ticket prices based on competitor pricing. However, other critical factors are often overlooked, such as fleet maintenance costs, travel operational expenses (fuel, tolls, driver commissions, meal allowances, and incentives), as well as agent commissions and passenger meals, all of which tend to increase—sometimes drastically—especially when fuel prices rise. This study aims to analyze passenger behavior, route potential, conduct preventive maintenance planning, and evaluate the alignment between ticket pricing, contribution margin, and cost ratio using a machine learning approach with the Random Forest Regression algorithm. The machine learning model was developed using data on route masters, fleet details, travel costs, ticket prices, holidays, and transaction records of revenue and operational expenses. The model achieved an RMSE of 3%, R² score of 77%, MAPE of 9.56%, and accuracy of 90.44%. It was then implemented in a web-based interface using Flask and ASP.NET to compare actual ticket prices with predicted prices.
Agile Scrum as a Development Approach: A Case Study of Web-based School Information System Design Wandri, Rizky; Fadhilah, M Rizki; Setiawan, Panji Rachmat; Fadhilla, Mutia
Sistemasi: Jurnal Sistem Informasi Vol 14, No 4 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i4.5273

Abstract

The growing utilization of information technology presents substantial opportunity to enhance efficiency in school administrative activities. Nevertheless, numerous educational institutions continue to employ semi-manual processes with software like Microsoft Word and Excel, thereby significantly heightening the danger of human error. This research employs an Agile development strategy utilizing the Scrum framework to create a web-based school information system that is more efficient and responsive to user requirements. The evaluation results indicate that this system has effectively enhanced administrative efficiency and attained a user satisfaction rate of 95%, demonstrating the successful implementation of the Agile Scrum methodology in the educational setting. This system is anticipated to provide as an efficient solution for the integrated management of student, teacher, staff, and school financial data.
Classification of Toraja, Batak and Ambon Languages using Decision Tree and Gradient Boost methods Mangalla, Bileam; Suharyadi, Suharyadi
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5100

Abstract

With its rich diversity of ethnicities, cultures, races, and religions, Indonesia is one of the countries with the highest number of regional languages in the world. This linguistic diversity often leads to communication challenges, particularly when conveying information or engaging in textual conversations. This study aims to identify and classify the Toraja, Batak, and Ambon languages using machine learning-based computational methods. The techniques employed include Decision Tree and Gradient Boost algorithms to evaluate the accuracy of each model. The results demonstrate that both Decision Tree and Gradient Boost are effective in language identification, achieving accuracy rates above 77%. However, based on the confusion matrix analysis, the Gradient Boost method proved to be more effective, with an accuracy rate of 81.06%, compared to 78.39% achieved by the Decision Tree. These findings suggest that Gradient Boost offers better performance for classifying these regional languages.
Implementation of Fuzzy Time Series Markov Chain Method to Predict Electricity Consumption in Aceh Province Gavinda, Virza; Nurdin, Nurdin; Fajriana, Fajriana
Sistemasi: Jurnal Sistem Informasi Vol 14, No 5 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i5.4858

Abstract

The use of electrical energy is expected to always increase every year. This is due to the increasing needs of the community that must be met. Electricity has become the foundation for welfare and economic progress as well as a growth engine both domestically and globally, to meet the need for electrical energy in the future so that a system is needed that can predict future electrical energy consumption. Various prediction methods have developed along with the problems that arise. These methods include the Fuzzy Time Series Markov Chain method and the Markov Chain Monte Carlo method. This study aims to apply the Fuzzy Time Series Markov Chain (FTSMC) method to predict electricity consumption (KWH) in Aceh Province until 2030 using the electricity consumption dataset from 2018 to 2022. The FTSMC method combines fuzzy time series modeling with Markov chain state transitions, allowing for effective handling of uncertainty in time series data. The results reveal an impressive forecast accuracy, with a Mean Absolute Percentage Error (MAPE) of 3.2483%, demonstrating the model’s robustness and suitability for electricity consumption forecasting, with a predicted 314,606,308 kWh in January 2023 and 482,982,495 kWh in December 2030, representing an overall increase of 53.5% over the eight-year period. The FTSMC model effectively stabilizes predictions over time, ultimately converging to a stable value. This stability suggests that FTSMC is well-suited for forecasting in contexts where historical patterns are expected to persist. Further application of this model could benefit other sectors requiring accurate, stable forecasts.
User Experience Evaluation of the Maxim Application using the HEART Metrics Method Ningrum, Meriana Prihati; Megawati, Megawati; Saputra, Eki; Fronita, Mona; Anofrizen, Anofrizen
Sistemasi: Jurnal Sistem Informasi Vol 14, No 4 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i4.5286

Abstract

The rapid growth of online transportation applications has led to increasing user expectations for efficient, intuitive, and reliable user experiences (UX). Maxim, as one of the emerging platforms in Indonesia, offers competitive pricing and wide service coverage, yet still faces challenges such as GPS inaccuracy, fare inconsistencies, and limitations with cashless payments. This study aims to evaluate the User Experience (UX) of the Maxim application in Pekanbaru using the HEART Metrics framework, which consists of five variables: Happiness, Engagement, Adoption, Retention, and Task Success. Data were collected through a Likert-scale questionnaire distributed to 100 respondents, with the sample size determined using the Lemeshow formula. The data were tested for validity and reliability, and analyzed using SPSS and Microsoft Excel. This study provides insight into user expectations and preferences as a foundation for service improvement. The results show that Happiness (73.8%), Adoption (72.4%), and Task Success (70.2%) are at a high level of usability, while Engagement (65.8%) and Retention (67.7%) did not meet the 70% usability benchmark. Overall, the Maxim application offers a good user experience, but improvements are needed in user engagement and retention through the addition of innovative features, GPS optimization, and enhanced service quality.
Implementation of the Laravel Framework in Tutoring Information System (Case Study: Glow Math Course) Anggraeni, Martina Meita; Susetyo, Yeremia Alfa
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5211

Abstract

The development of the Glow Math Course learning guidance information system using the Laravel framework has proven highly effective in accelerating the creation of secure and complex web applications. By utilizing the MVC architecture, Eloquent ORM, and Blade templating engine, as well as seamless integration with Midtrans, Laravel has streamlined the development process, improved efficiency, and delivered an intuitive user interface. Following User Acceptance Testing (UAT) with students, the evaluation showed that 85.92% of the system met the defined user requirements. Testing involved end users to ensure that the application met their expectations and needs. Additionally, system testing confirmed that the platform effectively supports the business processes of the tutoring service.
Analysis of Facebook Pro User Satisfaction Using the PIECES Method 'alimah, Muta; Megawati, Megawati; Angraini, Angraini; Fronita, Mona; Zarnelly, Zarnelly
Sistemasi: Jurnal Sistem Informasi Vol 14, No 4 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i4.5121

Abstract

Facebook Pro is a feature developed by Meta to provide a professional experience for users in managing content and interactions on the Facebook platform. However, user satisfaction with this feature has not been extensively studied, particularly in the city of Pekanbaru. This study aims to analyze the level of user satisfaction with Facebook Pro in Pekanbaru using the PIECES framework, which consists of six key variables: Performance, Information and Data, Economy, Control and Security, Efficiency, and Service. The research findings indicate that the satisfaction scores for each variable are as follows: Performance (3.70), Information and Data (3.84), Economy (3.37), Control and Security (3.48), Efficiency (3.58), and Service (3.70). Most of these fall under the “satisfied” category, with the exception of Economy, which is rated as “moderately satisfied.” Overall, the average satisfaction score was 3.61, placing user satisfaction within the “satisfied” category. These results suggest that most users feel comfortable and supported by the features and services provided by Facebook Pro. However, the relatively lower scores in the Economy and Control and Security dimensions highlight areas where users are experiencing challenges, indicating a need for improvement in those aspects.

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