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INDONESIA
JURNAL SISTEM INFORMASI BISNIS
Published by Universitas Diponegoro
ISSN : 20883587     EISSN : 25022377     DOI : -
Core Subject : Economy, Science,
Computer Science & IT Economics, Econometrics & Finance
JSINBIS merupakan jurnal ilmiah dalam bidang Sistem Informasi bisnis fokus pada Business Intelligence. Sistem informasi bisnis didefinisikan sebagai suatu sistem yang mengintegrasikan teknologi informasi, orang dan bisnis. SINBIS membawa fungsi bisnis bersama informasi untuk membangun saluran komunikasi yang efektif dan berguna untuk membuat keputusan yang tepat waktu dan akurat. Business intelligence sebagai dasar pengembangan dan aplikasi SINBIS menjadi kerangka kerja teknologi informasi yang sangat penting untuk membuat agar organisasi dapat mengelola, mengembangkan dan mengkomunikasikan aset dalam bentuk informasi dan pengetahuan. Dengan demikian SINBIS merupakan kerangka dasar dalam pengembangan perekonomian berbasis pengetahuan.
Arjuna Subject : -
Articles 425 Documents
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Evaluating The Impact of Digital Marketing Strategies on Enrollment Decisions through PLS-SEM Analysis: Insights from Private University X Syunita, Zahra Raniah Putri; Tikno, Tikno
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp237-250

Abstract

This study evaluates the effectiveness of digital marketing strategies in influencing enrollment decisions at Indonesian private universities. With the increasing reliance on digital platforms, higher education institutions (HEIs) have adapted their marketing approaches to engage digitally-savvy prospective students. The aim of this research is to identify the most impactful strategies and their contribution to student enrollment decisions. Utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM), the study compares three models: one derived from prior research and two newly proposed by the authors. Data collected from 325 respondents revealed that social media engagement and personalized direct messaging significantly enhance enrollment decisions, with the highest R² value (0.772) observed for social media engagement in Model 2. The Bayesian Information Criterion (BIC) indicated Model 2 as the best fit (-255.774) for explaining enrollment decisions. These findings suggest that strategies emphasizing social media engagement and personalized communication yield the greatest impact on prospective students. This study contributes to the growing field of digital marketing in higher education by offering actionable insights for enhancing online visibility and optimizing enrollment outcomes in a competitive market.
Optimization of Prediction for Cancellation of Hotel Room Reservation Using Decision Tree with Feature Selection and Resampling Rahmawati, Eka; Nurohim, Galih Setiawan
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp211-215

Abstract

The hotel industry is highly competitive and faces challenges, such as fluctuating demand, intense competition, and shifting consumer preferences. One critical issue that hotels frequently encounter is the cancellation of room reservations, which disrupts operational planning and resource management and leads to significant financial losses. Accurately predicting the likelihood of reservation cancellation is essential to mitigate these negative impacts and optimize revenue management strategies. This study focuses on the development of a predictive model for hotel room reservation cancellations using a decision-tree algorithm. The Decision Tree was selected for its ability to manage complex relationships between variables and ease of interpretation, making it accessible to hotel managers without technical expertise. To enhance the performance of the model, a forward selection technique was employed to identify the most relevant features, ensuring a balance between the model complexity and predictive accuracy. Additionally, resampling techniques were applied to address class imbalance in the dataset, which is common in cancellation cases where non-cancelled reservations outnumber cancelled reservations. This study explores the prediction of hotel room reservation cancellations using a decision tree algorithm enhanced by feature selection and resampling. The model achieved an accuracy improvement to 90%, with precision and recall each increasing by 5,5% after applying these techniques. These findings suggest practical applications for improving cancellation predictions and optimizing revenue management strategies for hotels. The study provides insights into how data-driven approaches can enhance decision-making processes within the competitive hospitality industry.
Developing 8D Building Information Modeling and Virtual Reality to Minimize Safety Hazards In Construction Building Projects Jati Utomo Dwi Hatmoko; Fajar Mega Rakhma; Naufal Sultan Azzam Khan; Frida Kristiani
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss3pp421-428

Abstract

Construction accidents remain a significant challenge in the construction industry. One of the biggest challenges is to design and communicate the safety plan of the project to all parties and people working on the construction site. The emergence of 8D Building Information Modeling (BIM) represents a technological advancement focusing on project safety, yet its implementation remains limited globally, including in Indonesia. This research was aimed to develop an 8D BIM model of a building project which allow project stakeholders to plan and examine the safety aspect of the project via virtual reality (VR). The digital model allows stakeholders to virtually identify construction hazards, plan the placement of safety equipment, and simulate safety protocols before implementation. It also facilitates clearer communication of safety plans to stakeholders and provides a realistic project experience via VR. This study marks an initial effort to leverage 8D BIM in construction projects, aiming to improve safety management by preemptively addressing potential accidents on-site.
Fuzzy Piecewise-objective Programming Approach for Integrated Supplier Selection and Production Planning Problems Considering Discounts and Fuzzy Parameters: the Static Case Adhina Rizkillah Harahap; Sutrisno Sutrisno; Redemtus Heru Tjahjana; Widowati Widowati
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss3pp347-353

Abstract

In the manufacturing and retail sectors, the challenge of supplier selection revolves around efficiently allocating the necessary amount of raw materials to each supplier to minimize procurement costs. Concurrently, production planning focuses on maximizing output. To achieve maximum revenue, decision-makers must make optimal decisions in both areas. This paper introduces a new mathematical model, falling within the fuzzy piecewise programming domain, to support decision-making in supplier selection and production planning. It addresses integrated supplier selection and production planning issues, incorporating discounts and fuzzy factors. The aim is to optimize supply chain performance, ultimately maximizing the production activity profit. The model accommodates scenarios involving multiple raw materials, suppliers, products, and buyers. Through numerical experiments, the effectiveness of the proposed model is evaluated, demonstrating its ability to provide the optimal solution. Thus, it can be readily applied by industry decision-makers and managers.
The Impact of Perceived Value on Engagement, Purchase Intention, and Continuance Usage Intention: A PLS-SEM Study on Social Commerce Live Streaming Context Muhammad Fajar Ramadhoni; Grandys Frieska Prassida
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss3pp310-320

Abstract

This study aims to analyse the factors influencing customer engagement in social commerce live streaming, specifically on the TikTok Shop platform, and their impact on purchase intentions and continuance usage intention. The significance of this research lies in the rapid development of social media applications within the social commerce sector, which presents new opportunities for brands to interact directly with users through live streaming features. A quantitative research approach was employed, utilizing survey techniques to collect data from respondents who are active users of the TikTok Shop platform in Indonesia and engage with its live streaming feature. The data were analysed using the Partial Least Squares Structural Equation Modelling (PLS-SEM) method. The results indicate that the hedonic, symbolic, and interactivity values of live streaming positively influence customer engagement, whereas utilitarian values have no significant effect. Moreover, customer engagement positively affects purchase intentions and continuance usage intentions. These findings underscore the critical role of emotional and interactive aspects of live streaming in fostering customer engagement, which subsequently enhances purchase intentions and sustained usage. This research offers valuable insights into the development of digital marketing and user interaction strategies in the context of social commerce.
Contribution of User-Generated Content to Support the Promotion of Pura Mangkunegaran on Digital Platforms Nur Laili Mardhiyani; Arifa Rachma Febriyani; Mirtha Raihany; Nur Laili Noviyani; Ahmad Muntakhib
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss3pp429-434

Abstract

This article explains how the role of social media users is part of the development of Pura Mangkunegaran tourism in the form of support through digital platforms. The research method used is descriptive quantitative which includes stages of data collection, data analysis, and data interpretation. Data was taken from respondents who had engagement with Pura Mangkunegaran content which was linked to sentiment analysis and social networks using social media analysis tools based on certain keywords related to Mangkunegaran. The research results show that User Generated Content (UGC) has an important role in supporting Pura Mangkunegaran tourism promotion. Influencers play an important role in spreading Pura Mangkunegaran content, so that content is not only intended for followers, but also for everyone. The more content is created and distributed, the more visible the contribution of UGC will be. Positive sentiment dominates the discussion context on social networks and negative sentiment keywords that appear are not related to tourism.
Book Classification System Based on Dewey Decimal Classification by Multinomial Naïve Bayes Method Esti Mulyani; Munengsih Sari Bunga; Fauzan Ishlakhuddin; Kastuti Kastuti
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss3pp354-360

Abstract

Libraries have the main task of processing library materials by classifying books according to certain methods. Dewey Decimal Classification (DDC) is the most widely used method in the world to determine book classification in libraries. However, the classification process using DDC is inefficient because it takes a long time for the large number of books in the library. This is a serious problem experienced by all libraries, so a solution is needed to bridge the problem. automatic classification system can be the right alternative to overcome the problem. In this research, an automatic classification system based on DDC using the Multinomial Naive Bayes Method so that it can speed up the classification process. This system was created using the CodeIgniter framework with the PHP programming language and MariaDB. Test results from 100 training data and 30 test data show that there are 24 test data with correct classification results and 6 test data with incorrect classification results. So it can be concluded that the accuracy rate of the test is 80%.
Digital Economy Creative System Using Laravel Based Responsives Web at Rumah Terang Ministries Production House Daniel Yeri Kristiyanto; Sisilia Thya Safitri; Fadiana Fadiana
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss3pp435-439

Abstract

Rumah Terang Ministries is a creative economy production house that focuses on digital multimedia such as flat design, motion, films, movies and podcast content. This production house has been running and growing in its marketing media. The production house has target development and general market than before with Christian spiritual content. This is what makes Rumah Terang Ministries turn into a more general production house and requires digital marketing. The use of the website is seen as a solution as well as a system to bridge between content creators and consumer. Object oriented programming-based websites are considered capable of handling the needs of this Laravel based digital production house. Technically, the website that was built was using the Models Views Controller (MVC) concept based on the Laravel version 9 backend framework. The database system was developed using MariaDB 10.4.24 PHP 8.1.4, frontend using CSS Bootstrap version 5.2. The system that was built has a specific purpose as a media partner for creative economy digital product capable of broadcasting, branding, delivering consumers by map, as well as media engagement between production houses and consumers. Furthermore, every ongoing project has a professional work base and has a good engagement framework. Web media can also be accessed by customers in various places to that it is easier for customers to make deals with the production house.
A Qualitative Analysis of the Phenomenon of Lonely BIM in Infrastructure Projects Ahmad Rifqy Zein; Ferry Hermawan; Jati Utomo Dwi Hatmoko
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss3pp361-368

Abstract

The integration of Building Information Modeling (BIM) in construction faces challenges due to differing approaches from stakeholders. This study emphasizes the need for practical improvements in BIM implementation in Indonesia, particularly in managerial aspects. By identifying the factors causing isolated BIM usage ('Lonely BIM'), this research provides actionable strategies to promote better collaboration, enhance stakeholder coordination, and streamline BIM processes in infrastructure projects. These insights aim to improve efficiency, reduce project delays, and encourage wider adoption of BIM, ensuring more consistent and integrated digital construction practices across the industry. Using qualitative methods, interviews and project data were analyzed with ATLAS.ti software. The factors identified include organizational culture, with the top rank being workplace culture, software/hardware investment with the top rank being software/hardware procurement, human resources factors with the top rank being the lack of human resources and support, skill disparity factors with the top rank being stakeholder BIM capability, technological gaps among stakeholders, communication constraints with the top rank being the effectiveness of coordination and communication methods, and the factor of owner demands, where the majority do not require BIM. These results identify important factors influencing BIM isolation and offer insights for the construction industry to overcome these barriers.
Digitizing Village Administration in Sleman with a Web-Based System using RAD Method Dita Rizki Amalia; Riyan Farismana; Dian Pramadhana
Jurnal Sistem Informasi Bisnis Vol 15, No 3 (2025): Volume 15 Number 3 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss3pp395-401

Abstract

This community service initiative focuses on developing a web-based information system for village administration in Sleman Village, located in the Sliyeg District of Indramayu Regency. In the Technology 4.0 era, integrating digital technology is crucial to addressing the complexities of IT infrastructure and enhancing organizational competitiveness in the global arena. Sleman Village, within the local government framework, struggles with managing administrative data manually, which limits information accessibility and transparency. This community service aims to identify the obstacles and requirements in managing village administrative data and to implement a web-based administration information system. The project’s approach includes conducting partner surveys, customizing the system to meet the village’s needs, preparing for implementation, and conducting a final evaluation. By making the village administration information system accessible to the public, administrators, and village staff for administrative tasks, particularly letter submissions, the system results in a customizable design, collaboration with stakeholders, user-friendly features, phased training and assistance, and improved public accessibility.

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