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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 40 Documents
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Search results for , issue "Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi" : 40 Documents clear
Evaluating the User Experience of a Mobile Ticketing Application using the User Experience Questionnaire (UEQ) Bailaen, Elsa Anjamilen; Bangkalang, Dwi Hosanna
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.v14i3.5243

Abstract

The digitalization of the mobile ticketing sector in Indonesia has seen significant growth, with a projected 50% increase in mobile ticketing app usage by 2025. Popular applications such as Traveloka, Tiket.com, Agoda, and Booking.com dominate the market, yet they face several technical challenges, including navigation difficulties, unclear interfaces, performance bugs during peak hours, slow application response times, and limited features. This study employed the User Experience Questionnaire (UEQ) method and involved 578 respondents selected through purposive sampling. The criteria included active users of one of the mobile ticketing apps and individuals aged between 20 and 40 years. The results of the t-test revealed that Agoda needs to improve the perspicuity aspect by simplifying its dense user interface, particularly in accommodation and travel ticket searches. Regarding efficiency, Traveloka, Agoda, and Booking.com must enhance their search systems and address bugs/errors that disrupt performance during peak usage times. For stimulation, Traveloka should enhance user experience by providing a more dynamic and responsive layout when navigating pages or performing searches. In terms of novelty, both Agoda and Booking.com are advised to integrate local e-wallets such as GoPay, OVO, and DANA, as well as bank transfer options, since currently they only support credit card payments. These findings highlight the critical role of UX in improving user satisfaction and suggest that continuous user-centered development is essential for maintaining competitiveness in the mobile ticketing industry.
Image Classification of Indonesian Snacks using Convolutional Neural Network Eliyen, Kunti; Izzah, Abidatul; Aullia, Fikha Rizky
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.v14i3.4647

Abstract

Each region in Indonesia has its own unique and distinctive culinary traditions. However, many people are still unfamiliar with the names of traditional Indonesian snacks, especially those that originate from regions other than their own. Promoting these traditional snacks is essential as an initial step in educating both domestic and international audiences about Indonesia’s cultural diversity. Culinary heritage is also a key factor in attracting tourists to visit a region. One way to address this issue is through image classification of Indonesian traditional snacks using Convolutional Neural Networks (CNN). This study uses a dataset consisting of 30 images across 10 classes, with 3 images per class. The model was trained over 40 epochs and achieved an accuracy of 86%. The testing phase yielded a recall of 86%, precision of 91%, and an F1-score of 88%.
Evaluating User Experience of OpenProject at PT Promanufacture Indonesia Salatiga using the User Experience Questionnaire (UEQ) Method Adventien, Irene Puspa; Maria (SCOPUS ID: 57093633500), Evi
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.v14i3.5185

Abstract

The purpose of this study is to evaluate the user experience of OpenProject at PT Promanufacture Indonesia Salatiga using the User Experience Questionnaire (UEQ) method. The UEQ method was chosen for its effectiveness in measuring user satisfaction and analyzing the quality of user experience across six main evaluation scales: attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty. Data were collected from 100 OpenProject users at PT Promanufacture Indonesia Salatiga and analyzed based on the average scores for each scale category. The results showed that most categories received positive ratings, with average scores above 0.8, except for the attractiveness scale, which fell into the "below average" category. The benchmark analysis indicated that the dependability scale ranked as "excellent," while the perspicuity and efficiency scales were categorized as "above average." The stimulation and novelty scales were rated as "good." These findings suggest that OpenProject excels in efficiency, dependability, and novelty, although improvements in visual appeal are necessary to enhance user comfort. This study contributes to the development of user experience theory in digital project management systems and reinforces the validity of the UEQ as a UX evaluation tool in professional software environments. It also highlights that while attractiveness may not be a primary factor in project management systems, it still plays a role in fostering user engagement. Therefore, UX models for enterprise software should strike a balance between functionality and aesthetics. The results of this research provide valuable insights for companies seeking to improve user experience and the effectiveness of project management systems.
Implementation of COBIT 2019 for Designing Hospital Performance Improvement Recommendations Radja, Carrisa Adnyana Putri; Budiraharjo, Raden; Chazar, Chalifa
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.v14i3.5076

Abstract

Service delivery at Kiwari Regional Public Hospital (RSUD Kiwari) in Bandung continues to face various challenges in meeting established standards. These challenges primarily stem from inefficiencies in business processes, particularly in patient registration, medical consultations, inpatient services, and patient transfers. These issues were previously identified through bottleneck analysis using a process mining approach. The identified bottlenecks indicate delays in several stages of the hospital service process. This study aims to provide improvement recommendations to enhance the hospital's business process capabilities based on the bottleneck analysis results obtained from process mining. The research adopts the COBIT 2019 framework to assess and improve business process capabilities, with a focus on the DSS06 (Deliver, Service, and Support) domain, deemed most relevant to the hospital’s current challenges. COBIT 2019 was selected for its systematic approach to measuring and enhancing IT process capabilities. The findings indicate that the current business process capability level at RSUD Kiwari Bandung is at Level 2, while the target level is Level 3. To achieve this goal, the study proposes a set of improvement recommendations that can serve as an evaluation tool and a guide to improving IT governance and service efficiency at RSUD Kiwari Bandung.
Applying Artificial Intelligence to Analyze Emotions in Social Media Comments using Large Language Models Astiti, Sarah; Iswandi, Iswandi; Putra, Tomy Nanda; Darmansah, Darmansah
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.v14i3.5187

Abstract

Advancements in Large Language Models (LLMs) have opened new opportunities for emotion analysis in social media comments. This study aims to explore the application of LLMs in classifying users' emotions based on their comment texts across various social media platforms. The methodology involves collecting comment data from Twitter, Facebook, and YouTube, followed by text preprocessing using Natural Language Processing (NLP) techniques. LLMs such as GPT and BERT are evaluated for their ability to detect primary emotions including happiness, sadness, anger, and fear. The results show a precision of 0.89 (89%), recall of 0.80 (80%), and an F1-score of 0.84 (84%). These findings indicate that LLMs offer higher accuracy compared to conventional sentiment analysis methods, particularly in their ability to understand linguistic context and nuances.
Knowledge Acquisition for the Stunting Prevention Expert System (SIPENTING) using Decision Tree and Grid Search Basir, Azhar; Tyas, Fitri Ayuning
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.v14i3.5004

Abstract

Stunting is a condition in which toddlers have a shorter height compared to the normal growth standard for their age. Preventing stunting is crucial, as children with stunting are more vulnerable to illnesses, experience growth failure before the age of 12 months, and tend to have lower intellectual abilities. Stunting can be diagnosed even before birth by assessing the nutritional status of pregnant women. Pregnant women with poor nutritional status are at a higher risk of delivering babies with low birth weight (LBW), which in turn increases the risk of stunting. Diagnosing the nutritional status of pregnant women and the risk of giving birth to stunted children typically requires expert knowledge, such as that of midwives or obstetricians. Expert systems make it possible for pregnant women to receive real-time diagnoses without the need for direct consultations with healthcare professionals. Expert knowledge in identifying the nutritional status of pregnant women and indicators of stunting risk is stored in a knowledge base, which is translated into a computer-readable rule base in the form of IF-THEN statements. This process is known as knowledge acquisition. The accuracy of the rule base plays a crucial role in ensuring reliable diagnostic results. Decision Tree is one of the data mining algorithms used to generate rule bases. In this study, the Decision Tree algorithm is optimized using Grid Search as a knowledge acquisition technique to determine the rule base applied in the Stunting Prevention Expert System (SIPENTING). The system is Android-based and aims to help pregnant women better understand their nutritional needs. Testing and validation results show that the Decision Tree model achieved an accuracy of 86.3%.
Bridge Scorekeeping Automation: An iOS Application to Improve Tournament Scoring Accuracy and Efficiency Mahazoya, Aqilla Shahbani; Wiradinata, Trianggoro
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.v14i3.5136

Abstract

Scoring in bridge tournaments is still largely dominated by traditional methods such as manual score sheets and specialized devices like Bridgemate. While widely used, these approaches present significant limitations—manual scorekeeping is prone to human error, and Bridgemate devices are often costly and not accessible to all organizers. To address these challenges, Bridge Team Comparator was developed as an iOS-based application offering a more accurate, efficient, and affordable scoring solution for bridge tournaments. Designed with a user-friendly interface for both novice and experienced players, the application supports real-time score entry, automatic calculation of International Match Points (IMP), and efficient result summaries. The development process adopted the Challenge-Based Learning (CBL) framework through the phases of Engage, Investigate, and Act, focusing on simplifying the bridge scoring process. User testing involved bridge athletes from Universitas Negeri Malang, Universitas Brawijaya, and the Sidoarjo bridge community. Results demonstrated a reduction in scoring errors by 8–36% and increased efficiency compared to conventional methods. In addition to offering a cost-effective alternative to commercial devices, the application contributes to the digital transformation of scoring systems in traditional sports. With potential for cross-platform development, Bridge Team Comparator opens new opportunities for broader adoption within the global bridge community.
Design of an IoT-Based 4-Channel 5V Relay Controller Using WiFi and Smartphone Integration Samsudin, Samsudin; Abdullah, Abdullah; Muni, Abdul; Niansyah, Niko
SISTEMASI 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.v14i3.5111

Abstract

The development of remote-controlled electrical device systems has become increasingly essential, particularly in supporting the transition toward a green economy. This IoT-based system, built on the NodeMCU microcontroller, enables real-time monitoring and control of electrical power usage, helping reduce energy waste and minimize carbon emissions caused by inefficient electricity consumption. This study aims to develop an Internet of Things (IoT)-based system for controlling electrical devices using a NodeMCU microcontroller integrated with the Telegram bot platform. The system utilizes a WiFi network to receive and execute user commands in real time. The development process follows the Multimedia Development Life Cycle (MDLC), while the programming is conducted using the Arduino IDE in C++. Testing on various devices—including Samsung Galaxy, iPhone, and Xiaomi Redmi smartphones—demonstrated the system’s ability to respond to commands within 0.45 to 0.82 seconds, with a deviation tolerance of ±0.15 seconds, depending on the specific WiFi network used. No overheating occurred under maximum load conditions. Overall, the system met performance criteria in terms of speed, consistency, and reliability. The primary advantages of the system include its universal chat-based interface, low cost, and simple design, accessible from any geographical location with a stable internet connection. However, the system is limited by its dependence on electricity supply and WiFi stability. Therefore, the implementation of this system in smart homes is recommended with the support of a backup power source to improve reliability. In conclusion, the system not only fulfills technical performance requirements but also contributes to energy efficiency in alignment with green economy principles.
Strategic Information System Planning using Anita Cassidy Method and Design Thinking Sambadagni, Sabella Yasmin; Fibriani (SCOPUS ID=57192643331), Charitas
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.v14i3.5143

Abstract

The rapid development of information technology in recent decades has significantly impacted various sectors, including education. The D3 Informatics Engineering Study Program at the Faculty of Information Technology, Satya Wacana Christian University, needs to formulate a strategic plan to leverage technology in addressing educational challenges. This study identifies the lack of documentation for student assignments and projects as a key issue, which hampers accessibility and evaluation processes. The Anita Cassidy method and the Design Thinking approach are employed to develop an information system strategy that aligns with academic objectives and supports business processes. The Anita Cassidy method—through the stages of visioning, analysis, direction, and recommendation—facilitates the alignment of information system strategies with academic goals, resulting in recommended system features for development. Meanwhile, Design Thinking is applied to interface design development, focusing on user interaction to enhance the likelihood of system adoption and user satisfaction. This study aims to produce information system recommendations and user interface designs for the archiving of assignments in the D3 Informatics Engineering Study Program, with the goal of improving efficiency and effectiveness in managing student assignments.
Optimizing Sentiment Analysis of Digital Wayang Viewer Comments using SMOTE and the Naïve Bayes Algorithm hardiyanti, mawar; Fajarlestari, Maria Karmelia
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.v14i3.5002

Abstract

Wayang performances are an integral part of Indonesia’s rich cultural heritage. This traditional art form has been deeply rooted in Indonesian society for centuries, evolving through live performances and, more recently, through rapid digital adaptations—including presentations on online platforms such as YouTube. In the digital age, YouTube has become a leading platform for video sharing, allowing audiences to enjoy wayang performances without being physically present. However, data from the Central Bureau of Statistics on Socio-Cultural Affairs indicates a decline in interest among younger generations in traditional arts such as wayang. This highlights the need for innovative and relevant approaches to reintroduce this cultural heritage to them. Sentiment analysis based on viewer comments offers an effective way to identify audience opinions—whether positive, negative, or neutral. Comment data were collected using web scraping techniques with Selenium WebDriver, enabling efficient data extraction. The collected data then underwent preprocessing, including case folding, tokenization, and stopword removal, to prepare it for classification. The Naïve Bayes algorithm was employed to categorize comments into positive, negative, or neutral sentiments. Preliminary results revealed that 51.6% of comments were positive, 42.3% neutral, and 6.0% negative. Model evaluation using K-fold cross-validation yielded an accuracy of 0.98 ± 0.01, a precision of 0.99 ± 0.01, and a recall of 0.72 ± 0.11 without applying SMOTE. After applying SMOTE, recall improved to 0.80 ± 0.05. This study contributes to the development of more accurate sentiment analysis models in the context of social media and underscores the importance of techniques like SMOTE in addressing class imbalance issues.

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