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Sisforma: Journal of Information Systems
Published by Universitas Katolik Soegijapranata
ISSN : 23558253     EISSN : 24427888     DOI : 10.24167
Core Subject : Science, Education, Engineering,
Computer Science & IT Education Engineering Library & Information Science
SISFORMA journal published by the Information Systems Studies Program Faculty of Computer Science Soegiapranata Semarang. to accommodate the scientific writings of the ideas or studies related to information systems. Scope journal Sisforma: Topics that will be published in the journal SISFORMA include (but not only in the limit in these topics only): Education and Curriculum, Game Theory and Game Technology, General topic in Information System, E-business, ERP, CMS, Artificial Intelligence and Enterprise System Information, Network and Computer Security, and Information Technology
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 188 Documents
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IoT-Based Smart Bin Waste Management System with Real-Time Capacity Monitoring Pamudji, Andre Kurniawan; Chandrawati, T Brenda; Dewi, Stephani Inggrit Swastini
SISFORMA Vol 12, No 1: May 2025
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v12i1.13753

Abstract

Conventional waste management in Indonesia faces the challenge of inefficiency due to static transportation schedules, causing waste to pile up in crowded locations and becoming a source of environmental problems. This study aims to design and implement a smart trash can system based on the Internet of Things (IoT) as a solution to this problem. This system was developed using the Design and Build approach with the Waterfall model, integrating a Wemos microcontroller, infrared sensors for automatic opening and closing mechanisms, ultrasonic sensors for waste volume monitoring, and a web dashboard for centralized data visualization. The results of the study showed the success of the implementation of a functional prototype, starting from hardware assembly, firmware development on the microcontroller, to the backend system and database. System testing using the Black Box method showed that all main functional scenarios including user detection, automatic closing control, volume measurement, and sending data to the dashboard were 100% successful according to the design. This functional success proves that the developed prototype is a valid and potential solution to realize a more efficient, hygienic, and real-time monitorable waste management system, so that it can support better operational decision making
Examining Entrepreneurial intention of Generation Z in Indonesia Bernadi, Benedikta Anindaya; Harnadi, Bernardinus; Prawihatmi, Chatarina Yekti
SISFORMA Vol 12, No 1: May 2025
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v12i1.12789

Abstract

This study aims to examine the entrepreneurial intentions of generation Z in Indonesia. This study reveals the factors that influence the entrepreneurial intentions of generation Z and analyzing the relationship between these factors. The study was conducted using the FGD method on young entrepreneurs of generation Z to obtain input on the conditions of young entrepreneurship, especially generation Z. Reviewing the previous related literatures on entrepreneurial intention research were used to obtain a selection of factors that influence entrepreneurial intentions among young people. Models and hypotheses were built based on input from FGDs and previous related studies and then they were tested using the questionnaire data from survey techniques. Data testing was carried out using descriptive statistical methods, validity tests, reliability tests, and correlation tests using SPSS. Analysis of individual respondent factors was also carried out to reveal the characteristics of generation Z. The causality test using correlation technic were used to reveal the relationships between the factors studied. The output of this study is a model of entrepreneurial behaviors (entrepreneurial intentions) of generation Z in Indonesia. The results of this study reveal that factors naming Attitude towards money, Entrepreneurship education, Advance in technology, and Entrepreneurship efficacy have association with Entrepreneurship Intention. All factors also have a relationship with each other. Surprisingly, the personal factor Gender only has a relationship with Entrepreneurship education. Men and women have different relationships; women have a stronger relationship with entrepreneurship education. Meanwhile, Age has no relationship with all factors in this study. These results provide insight to entrepreneurship educators, the government, and stakeholders regarding the progress of young entrepreneurship in Indonesia. This insight is useful in assisting young people, especially generation Z, in entering and engaging in the entrepreneurship.
The Use of SalesMania to Enhance Sales Team Performance and Support Sustainable Development Riyadi, Oktavius Theo Andreas; Pamudji, Andre Kurniawan; Dewi, Stephani Inggrit Swastini
SISFORMA Vol 12, No 1: May 2025
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v12i1.13562

Abstract

This research focuses on analyzing the role of SalesMania in optimizing the performance of sales distribution teams and supporting sustainable development. The distribution industry plays a significant role in the global economy, with millions of individuals engaged in sales. The complexity and manual nature of sales work can be optimized through digital platforms like SalesMania, making the carbon footprint from distribution activities more efficient. SalesMania offers an integrated solution for scheduling visits, location tracking, real-time reporting, and data analytics. These features help sales teams work more efficiently, improve communication and coordination, and maximize time and resources. The implementation of SalesMania can reduce carbon emissions, fuel usage, and paper consumption by optimizing the use of the latest technology, enabling the platform to help distribution companies achieve sales targets, enhance customer satisfaction, and contribute to environmental conservation. The research results, based on surveys conducted on companies that have used the SalesMania system, show that SalesMania has proven effective in optimizing the performance of sales teams and supporting sustainable development. The implementation of SalesMania can help distribution companies achieve their business goals and contribute to a more sustainable future.
Design and Development of a Web-Based Church Information System for a Protestant Church under the Synod in East Java Paramita, Adi Suryaputra
SISFORMA Vol 12, No 1: May 2025
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v12i1.13429

Abstract

The rapidly-evolving nature of information technology is both a challenge and an opportunity for non-profit organisations, as they seek to apply digital solutions to their administrative processes, as it does for organization XYZ Church in East Java. As the XYZ Synod of East Java is developing a more and more networked local church, managing congregation data has never been so sophisticated. Because the systems are not integrated, church data is often managed in a fragmented manner, making it difficult to track congregation data, use church activities intelligence, and provide adequate pastoral services. This research has the purpose to create a church information system in a web-based environment so that it can solve these problems, manage centralized but flexible in gathering the congregations data in a web-based, and can access in different churches. It proposes a cloud-based system that will be cost-effective, ensuring scalability, security and removing the need for expensive IT infrastructure while still ensuring data is available and protected. Additionally, the system architecture is based on Soft Systems Methodology (SSM) to ensure a detailed analysis of stakeholder needs and organizational complexities occurring in the church ecosystem. SSM, in conjunction with problem structuring methods, also means we can identify not only the primary challenges and stakeholder perspectives among the members of Church XYZ,  but also explore the core system functionalities to ensure the solution fits the operational and pastoral needs of Church XYZ as it seeks to engage East Java. It is hoped that the thorough model formulated will significantly improve administrative effectiveness, increase data accuracy, refine pastoral care methodology and safeguard privacy of ministry while allowing efficient integration between local churches. This study combines contemporary solution of digital transformation with structured methodological analysis to appropriately support the digital transformation of church management while maintaining the core values and mission of Church XYZ in East Java.
Utilizing AR-Book to Enhance Reading Interest at SCU Library Adirati, Melania
SISFORMA Vol 12, No 1: May 2025
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v12i1.13426

Abstract

This study examines how augmented reality (AR) technology impacts students' interest in reading in SCU Libraries, specifically AR-Books. The primary objective was to determine how AR-Books can increase student engagement and motivation. We used a descriptive qualitative research method and conducted open-ended interviews with eight students with AR-Books experience. The findings positively impacted reading interest; participants noted that AR-Book summaries provided a better experience due to their time efficiency and interactive features. Interestingly, all students desired to continue using AR-Books, underscoring their effectiveness in creating a more engaging reading experience. Overall, AR-Books are a valuable resource for increasing students' reading interest, aligning with the younger generation's preference for quick and convenient solutions.
Topic Analysis Using LDA-LSTM on Shopee User Comment Shannon Dominique Saputra; Albertus Dwiyoga Widiantoro Dwiyoga Widiantoro
SISFORMA Vol 13, No 1: May 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v13i1.15534

Abstract

Shopee's growth has also shaped online shopping in Indonesia. This study analyzed user reviews to measure satisfaction and identify key service issues using a hybrid framework: LDA for topic modeling and LSTM for sentiment classification. Class imbalance was addressed using a combination of Random Oversampling and Neighborhood Cleaning Rule (ROS-NCL).The results showed that LSTM + ROS-NCL outperformed ROS, NCL, and SMOTE, with 95% accuracy and a precision, recall, and F1-score of 0.94 each. These findings demonstrate that oversampling combined with noise cleaning effectively improves performance on imbalanced data, while also providing practical insights for feature development, logistics improvements, and Shopee's promotional strategy.
Analyzing Teachers' Digital Literacy and Students' Computational Thinking Using the Streamlit Dashboard: A Case Study of PPKS Foundation Schools Vanditya Maharani P. K.; Bernardinus Harnadi
SISFORMA Vol 13, No 1: May 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v13i1.15554

Abstract

Teachers’ digital literacy and students’ computational thinking (CT) skills are increasingly important in 21st-century education. Secondary data from the Assessments of “Profil Kepala Sekolah dan Guru (PPKS)” and the Bebras Challenge were used to examine the link between the two. In addition, this study develops an interactive Streamlit-based dashboard for data visualization and evaluates user perceptions of the dashboard interface. A quantitative design was used by gathering secondary data from schools connected to the PPKS Foundation. Descriptive statistics was used to summarize data of the dataset and then, correlation analysis together with simple linear regression were performed to observe the association among variables. The findings indicate that the teachers’ LD is correlated with the students’ CT skills; however, a weak to moderate relationship between them appears. The implementation of interactive visualization tool like the Streamlit dashboard helped for easy interpretation of data to be made in education. This is also supported by feedback in user interviews that described the dashboard as accessible and providing assistance to comprehend complex data.
Product Demand Analysis Using the XGBoost Algorithm at PT Atmadjaya Sembada Anugerah Okky Julian Atmajaya Tarmoko; Rinabi Tanamal
SISFORMA Vol 13, No 1: May 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v13i1.13650

Abstract

PT Atmadjaya Sembada Anugerah is a frozen food manufacturing company that faces challenges in stock management due to unpredictable daily fluctuations in product demand. Inaccurate demand forecasting can lead to inefficiencies in distribution and storage operations. This study aims to apply the Extreme Gradient Boosting (XGBoost) algorithm to forecast product demand using historical daily sales data. The process involves exploratory data analysis, data cleaning, feature engineering for time and statistical variables, and time-based data splitting. The model is trained using features selected through Recursive Feature Elimination and optimized using hyperparameter tuning with Optuna. Evaluation is conducted through TimeSeriesSplit cross-validation and assessed using three standard performance metrics. The results indicate that the model effectively captures seasonal patterns and general demand trends, although it remains limited in responding to sudden demand spikes. These findings support the use of XGBoost as a foundational approach for demand forecasting systems in stock planning, with potential for further improvement through the integration of external data and expanded feature sets.
Enhanced Validator Trust Metrics using SCP Log Analytics Erdhi Widyarto Nugroho
SISFORMA Vol 13, No 1: May 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v13i1.15535

Abstract

Validators in Federated Byzantine Agreement (FBA) systems, such as the Stellar network, are essential to guaranteeing transaction security and network liveness. However, the metrics currently used to determine validator trust are based on aggregated data (active rate, agreement rate, latency) that may not reflect the detailed behavioral changes required for accurate reputation assessment. This paper analyzes a dataset of 7,150 observations from 55 Stellar validators spanning 133 days and identifies five fundamental limitations of aggregated metrics: parameter poverty, zero variance in agreement rate, minimal variance in active rate, temporal insensitivity, and live data sparsity. Based on these findings, this paper proposes a framework for extracting 12 behavioral parameters from SCP.log files including ballot consistency, nomination success rates, timeout frequency, and equivocation attempts for enhanced EigenTrust-based reputation assessment. While full implementation requires continuous SCP.log collection, the proposed framework addresses the identified limitations by specifying the behavioral parameters necessary for dynamic validator trust assessment in FBA systems.
Design and Development of an Employee Attendance and Performance Evaluation Application Based on Mobile and Web with Face Recognition, Geolocation, and the SAW Method at Toll Road Company PT XYZ Krisna Restu Dewanta; Ahmad Habib
SISFORMA Vol 13, No 1: May 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v13i1.14797

Abstract

This research aims to design a mobile-based attendance app for the toll road company in East Java, PT XYZ.Using Face Recognition and Geolocation to simplify employee attendance. The app features an employee performance evaluation system based on the Simple Additive Weighting (SAW) method via a web admin interface. Employees can clock in using real-time facial recognition and location validation, while admins can monitor attendance and performance. Developed using Extreme Programming (XP) and tested through User Acceptance Testing (UAT), the app enhances efficiency, accuracy, and transparency in managing attendance and performance across multiple locations.

Page 18 of 19 | Total Record : 188

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