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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 410 Documents
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Back matter JSINBIS 15 (1) 2025 JSinbis, Editorial
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

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Abstract

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Analisis Pengembangan Arsitektur Enterprise PT Cottonink Duo Kreasindo Pasca Implementasi Sistem ERP SAP Business One dengan Pendekatan TOGAF Framework Hidayat, Muhammad Imam; Arief, Rifiana
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss1pp102-112

Abstract

PT Cottonink Duo Kreasindo utilizes SAP Business One technology to assist business operation used production, warehouse, MD Sales and operational as the moduls. In practice, deficiencies are still found that hamper work and operational productivity to improve information system support to improve and complete requirement. To ensure that PT Cottonink Duo Kreasindo require a system that able to facilitate users and run optimally, a paradigm requires function is to plan, design and develop the system; enterprise architecture. Enterprise architecture expectantly able to provide solutions for PT Cottonink Duo Kreasindo to increase the productivity and further align business strategy with the company's information systems. The TOGAF ADM method applied in this research. The blueprint resulting by enterprise architecture planning using the TOGAF ADM method includes detailed architectural designs, including business architecture, data architecture, application architecture, information system architecture, and technology architecture. There are two modules that need to be removed and six modules that need to be added to the business architecture; three modules that need to be removed and two modules that need to be added to the data architecture; as well as four modules that need to be added to application architecture and technology architecture.
Analisis Perbandingan Metode Terbaik Peramalan Inflasi di Jawa Barat dengan ARIMA, Linear Regression, Triple Exponential Smoothing Nuralifia, Elsa Mutiara; Rodiah, Rodiah
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss1pp11-20

Abstract

Inflation is a crucial economic indicator, and its growth rate is always aimed to be low and stable to prevent macroeconomic disruptions that might lead to economic instability. Considering the significant impact it can have, predicting future inflation values is essential. This study focuses on forecasting inflation, particularly in the province of West Java, using the ARIMA, Linear Regression, and Triple Exponential Smoothing methods. The goal is to find the method that yields the lowest error to ensure more accurate forecasting results. The research employs inflation data from June 2009 to May 2023 in West Java, collected from the Badan Pusat Statistik (BPS) of West Java Province. The study involves several stages: (1) collecting inflation data, (2) preprocessing the data, (3) constructing forecasting models and obtaining results, and (4) comparing accuracy outcomes. After comparing the methods, it was found that the Triple Exponential Smoothing method emerged as the most effective one. This method exhibited the lowest error evaluation, with an RMSE value of 0.1719703, indicating good accuracy and suitability for forecasting inflation values in the province of West Java for the future
Performance Analysis of Information Technology Services in Higher Education using COBIT 2019 Hariyanti, Eva; Nuzulita, Nania; Ranandha, Muhamad Erza; Indari, Ima Tri
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss1pp45-51

Abstract

Higher education institutions increasingly leverage information technology (IT) to improve their services. IT services are crucial in managing and supporting students, faculty, and staff. As IT governance evolves, measuring performance to identify potential service delivery issues becomes essential. This research adopts the COBIT 2019 framework, particularly the Deliver, Service, Support (DSS) domain, as a structured approach to assessing IT services' capability and maturity levels at a public university in Indonesia. The research methodology involves identifying measurement areas, collecting data, evaluating capability and maturity levels, validity testing, and providing recommendations. The study results show that the IT service maturity level of the university related to management practices in managed operations (DSS01), managed service requests and incidents (DSS02), and managed problems (DSS03) has reached level 3. Five activities in the IT service management have not been performed optimally: monitoring incidents and problems to improve task reliability, integrating key internal IT processes with outsourced service providers, comparing measures and plans with insurance policy requirements, evaluating physical modifications to IT sites to re-evaluate environmental risks, and including review knowledge in the service review meeting with the business customer. The validity results indicate that most of the measurement results align with the actual conditions of IT services, with an average validity score of 4.14. This study suggests specific improvements related to those five activities feasible for the university to implement to enhance its IT services.
Preface JSINBIS 15 (1) 2025 JSinbis, Editorial
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

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Abstract

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Prediction Analysis of Sleep Disorders Using Machine Learning-Based Techniques Setiawati, Mega; Aldianto, Denise; Sandiwarno, Sulis
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss1pp89-101

Abstract

Sleep is crucial indicator for an individual. Poor sleep quality has serious implication for health. This condition is often triggered by high work pressure and imbalance between work and rest time. While previous research with similar topic has been conducted, it has not comprehensively elucidated the key factors influencing sleep disorders. Therefore, this study conducts more in-depth analysis of factors contributing to sleep disorders including; gender, age, occupation, sleep duration, quality of sleep, physical activity level, stress level, BMI, heart rate, and daily steps. Subsequently, we employ Machine Learning (ML) techniques to investigate further sleep disorders. The ML models include: Naïve Bayes (NB), Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Logistic Regression (LR), Convolutional Neural Network (CNN), dan Long Short-Term Memory Network (LSTM). The objective is to assess the effectiveness of ML model implementation based on information from data and the significance of specific factors in predicting sleep disturbances. The results of this study indicate that the combination of the LR model with Chi-Square achieved the highest average F1 score, which was 84.75%, in sleep disorder classification. The research comprises several stages: (1) Data collection, (2) Pre-processing of the collected data, and (3) Training models capable of processing data for evaluation to understand the contribution of indicators to sleep disorder predictions. The findings of this study provide insights into the effectiveness of the constructed models in predicting sleep disorders
Implementasi E-Commerce dengan Sistem Informasi Rekomendasi menggunakan Metode Collaborative Filtering untuk Pengembangan Penjualan pada UMKM Khusnah, Miftakhul; Gernowo, Rahmat; Surarso, Bayu
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss1pp134-141

Abstract

MSMEs are one of the micro businesses that are carried out to improve the prosperity of home industry, the majority of MSMEs still carry out traditional business processes, but in the current era, product sales can be done anywhere, such as running an online business through e-commerce. The ease of this online business helps MSMEs to develop sales globally,  so e-commerce is needed which will be aquipped with a recommendation information system for sales development in MSMEs. This research aims to implement a recommendation information system in e-commerce using the collaborative filtering method. This method was chosen because of its advantages in producing more accurate recommendations using MSME data, consumer data, and rating data. From the process carried out, the results show that this system provides product recommendations with the highest predictive value, namely M1 is product RSM with a predictive value of  0,5. M3 is product RPC with a predictive value of  0,03. M4 is product RKK with a predictive value of  1. M6 is product RKC with a predictive value of  0,88 which will be displayed to consumers and provide an effective and efficient marketing platform.
Integrasi Model DeLone & McLean, UTAUT, dan HOT-Fit untuk Menilai Keberhasilan dan Keberterimaan Aplikasi LPD Mobile di Bali Dewangga, Anak Agung Bagus Dharma Putra; Ariyanto, Dodik; Wirakusuma, Made Gede; Sujana, I Ketut
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss1pp34-44

Abstract

Transparency challenges faced by Village Credit Institutions (LPDs) in Bali pose a significant risk to the future reputation of these institutions. In response to this challenge, LPDs introduced the LPD Mobile application to improve operational transparency. However, not all LPDs in Bali have yet implemented this system, so an in-depth analysis is needed to assess the extent of its success and acceptance from a user perspective. The integrated model used in this study is a combination of the DeLone & McLean, UTAUT, and HOT-Fit models with the addition of one moderating variable, namely education level, with the aim of identifying key factors that influence the success and acceptance of LPD Mobile. Through hypothesis testing using Partial Least Squares Structural Equation Modelling (PLS-SEM) method on 384 customers in 106 LPDs, all hypotheses were supported and the study found that education level, as a moderator variable, strengthens the influence of human factors on behavioral intentions. Technological factors emerged as the most influential on user satisfaction, while organizational factors showed a lesser impact on behavioral intentions. This integrated model successfully dissect the elements that influence the success and acceptance of LPD Mobile adoption in Bali. The results of this study can be used by LPDs in Bali to plan the direction of LPD development towards technological aspects, while future studies can explore this conceptual framework in different regions or countries with different microfinance institutions, organizational maturity levels, and cultural contexts, thus providing new insights into the flexibility and generalisability of this model.
Front matter JSINBIS 15 (1) 2025 JSinbis, Editorial
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

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Abstract

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Bot Innovation Realizing Service Excellence: Designing WhatsApp Chatbot as a Customer Service Solution Puspitasari, Nia Budi; Ginting, Asteria Noventi Ageta Br; Saribu, Aditya Agung F. Dolok
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/vol15iss2pp221-229

Abstract

With the support of qualified employees, PT BPR PPK is a banking company that provides excellent customer service. According to interviews with Bank P employees and customers, customers are dissatisfied with the information they receive. Employees sometimes responded to customer inquiries about Bank P's products and banking within 1 to 2 weeks. Additionally, not everyone can access the website due to a lack of understanding of technology, particularly among older customers. As a result, customers require a more detailed, interactive, and easily accessible information system, mainly through integrating AI technology as a chatbot into the WhatsApp application. This research aims to make it easier for customers to access Bank P's banking information. The chatbot design employs the waterfall method, utilizing dialog flow tools and a decision tree chatbot type that aligns with the user's needs. According to black-box testing results, the chatbot system meets functional needs and follows the database. Meanwhile, the user satisfaction questionnaire yielded an average accuracy of 98.6%, demonstrating the chatbot's feasibility in providing customers with the necessary information. The chatbot system also received a positive response from users.

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