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Jurnal Informatika Ekonomi Bisnis
Published by Universitas Putra Indonesia YPTK Padang
ISSN : 27148491     EISSN : -     DOI : https://doi.org/10.37034/infeb
Core Subject : Economy,
Economics, Econometrics & Finance
Jurnal Informatika Ekonomi Bisnis adalah Jurnal Nasional, yang didedikasikan untuk publikasi hasil penelitian yang berkualitas dalam bidang Informatika Ekonomi dan Bisnis, namun tak terbatas secara implisit. Jurnal Informatika Ekonomi Bisnis menerbitkan artikel secara berkala 4 (empat) kali setahun yaitu pada bulan Maret, Juni, September, dan Desember. Semua publikasi di jurnal ini bersifat terbuka yang memungkinkan artikel tersedia secara bebas online tanpa berlangganan. Jurnal Informatika Ekonomi Bisnis sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis dalam bidang informatika ekonomi dan bisnis. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada masyarakat luas, serta sebagai sumber referensi akademisi dalam bidang informatika ekonomi dan bisnis.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 50 Documents
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Search results for , issue "Vol. 7, No. 3 (September 2025)" : 50 Documents clear
Assessing BI Maturity: Government Financial Sector Case Study Sihotang, Jhon Rafles; Hidayanto, Achmad Nizar; Isal, Yugo Kartono
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1203

Abstract

This study assesses the implementation maturity of a Business Intelligence system within a government organization in the Indonesian financial sector. The primary objectives are to evaluate the current maturity level and to formulate evidence-based recommendations for enhancement. The research employs a mixed-methods approach, utilizing the Business Intelligence Maturity Model as the analytical framework. Data was gathered from organizational documents, direct observation, a questionnaire survey of 13 system users, and in-depth interviews with four key stakeholders. The results indicate an overall BI maturity at Level 3: Information Integration. Despite this, five sub-dimensions scored poorly: Technical Data Management, Analysis Functionality in Applications, Reporting Capability in Applications, System Availability, and Profitability Calculation, signifying suboptimal implementation in these areas. The study concludes that the BI implementation is only partially successful and has not reached its intended potential. To advance to a higher maturity level, the organization must address the identified weaknesses, particularly in data management, application functionality, and system governance. This study offers practical guidance for organizational improvement and enriches limited academic literature on BI maturity in developing-country public financial institutions.
Unveiling the Determinants of Knowledge Sharing and Their Impact on Service Innovation Performance in the Government Sector Rizky, Fajar; Altino, Iqbal Caraka; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1204

Abstract

Knowledge sharing serves as a fundamental driver of organizational innovation, particularly in enhancing public service quality, yet remains significantly underutilized in government institutions. Many public sector organizations fail to recognize the value of knowledge sharing due to its perceived long-term benefits and the absence of concrete evidence demonstrating its measurable impact on service innovation performance. This study examines the driving factors of knowledge sharing and its impact on service innovation performance in government organizations. Data was collected through an online survey targeted at National Civil Service Agency (Badan Kepegawaian Negara or BKN) employees. A total of 465 responses were obtained, which analysed using partial least squares structural equation modeling (PLS-SEM). This study demonstrates that organizational, individual, and technological factors play a significant role in the implementation of knowledge sharing. Most importantly, the research provides empirical validation that knowledge sharing behavior directly and substantially enhance service innovation performance - a relationship previously overlooked in public sector studies. By expanding the theoretical framework of Planned Behavior to incorporate these organizational, individual, and technological dimensions, this study offers public administrators compelling evidence to prioritize knowledge sharing initiatives while providing scholars with a more holistic understanding of innovation mechanisms in government contexts. Future studies should explore additional factors beyond the Theory of Planned Behavior that influence knowledge sharing, as well as other knowledge management dimensions affecting service innovation. Further research could also investigate impacts of knowledge sharing beyond innovation performance, such as organizational resilience or employee well-being in public sector contexts.
Kontribusi Lingkungan Sosial terhadap Keputusan Perceraian di Jawa Barat: Analisis Regresi Logistik pada Data SUSENAS 2022 Julpani, Asti Engla; Ridwan, Endrizal
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1211

Abstract

The high divorce rate in West Java Province underscores the need for an in-depth examination of environmental factors influencing individuals’ decisions to divorce. This study aims to analyze the impact of social environments with high divorce rates on individual divorce decisions, while accounting for control variables such as working hours, education level, and age at marriage. Using data from the 2022 National Socio-Economic Survey and a binary logistic regression approach, the study finds that individuals living in areas with high divorce rates are 1.645 times more likely to get divorced p < 0.001. Early marriage also shows a significant effect OR = 1.098; p < 0.05. In contrast, working hours and education are not statistically significant. These findings highlight the urgency of community-based interventions and social policies that are sensitive to local norms.
Analisis Faktor yang Mempengaruhi Ketimpangan Pendapatan: Studi Komparatif Kawasan Indonesia Barat, Timur, Indonesia Lailatussubha, Mutiara; Nazer, M
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1224

Abstract

In 2022, income inequality in Indonesia continued to show significant regional disparities, with Eastern Indonesia recording a Gini ratio of 0.346, higher than that of Western Indonesia at 0.345. This difference indicates that income distribution in the eastern region remains more uneven compared to the western region, highlighting the need for special attention to the underlying factors of inequality in both regions. Income inequality remains a major issue that hinders inclusive and sustainable development, particularly amid economic and social disparities between regions. This study aims to analyze the effects of financial inclusion, economic growth, education, and unemployment on income inequality in Western and Eastern Indonesia during the period 2008–2022. A quantitative approach is employed using the Random Effect Model panel data regression, with data processing conducted using STATA software. The results of the Random Effect Model regression show that in Western Indonesia, financial inclusion and economic growth have a positive and significant effect on income inequality, while education has a negative and significant effect, and unemployment does not have a significant impact. In Eastern Indonesia, education and unemployment have a negative and significant effect on income inequality, financial inclusion has a positive and significant effect, while economic growth does not affect income inequality in the region.
Analisis Efektivitas Metode Turun Lapangan dalam Menentukan Penerima Bansos terhadap Distribusi Bansos Rizti, Muthia; Kusmilawaty; Fahdhila, Tri Inda
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1233

Abstract

This study aims to determine the effectiveness of the field method in determining recipients of social assistance, through the Integrated Referral Service System at the Tanjungbalai City Social Service. Based on the results of the study, it was found that the implementation of the SLRT program in Tanjungbalai City has been running quite well. This type of research is descriptive research with a qualitative approach. The specific results obtained are, the SLRT program in Tanjungbalai City shows progress in achieving target accuracy and timeliness, although there are still some errors in collecting recipients. Then, although the data used in this program is quite complete, there are some discrepancies between the existing data and conditions in the field, especially related to the changing economic status of recipients. Then, the SLRT program in Tanjungbalai City has successfully adapted well to field conditions, especially with geographical and accessibility limitations. Then, socialization regarding the SLRT program has been carried out quite well to the sub-district and village levels, although there are still some people who do not fully understand how this program works and its objectives. Overall, this study shows that the SLRT program in Tanjungbalai City can be said to be effective, but several aspects such as targeting accuracy, data updates, and socialization need to be improved to achieve more optimal results in poverty alleviation.
Pengaruh Product Quality dan Brand Experience terhadap Kepuasan Konsumen Refani, Irsya Dwi; Adityarini, Esthi; Irawan, Anggi
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1216

Abstract

This research was grounded in the decline in sales experienced by the Innisfree brand in recent times. Multiple variables affect this phenomenon, such as product quality and brand experience. Therefore, this research aimed to examine the influence of product quality and brand experience on Innisfree consumer satisfaction. A quantitative approach was employed by distributing questionnaires and using multiple linear regression analysis on 101 respondents. The outcomes indicated that product quality and brand experience jointly influence consumer satisfaction, with a contribution of 69.9%. It is evident that product quality and brand experience are important factors in increasing consumer satisfaction, thereby helping the company address its declining sales.
Pengimplementasian Metode Simple Multi Attribute Rating Technique pada Sistem Pendukung Keputusan: Literatur Review Adha, Hafid Dwi; Zen, Lova Endriani; Hanim, Hafizah; Prasetyo, Haditya; Novi
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1267

Abstract

The rapid development of technology today paves the way for the birth of various scientific inventions. Technology can assist decision-makers in determining a decision to be reached. One technology that can be utilized is a decision support system. Decision support systems can help reduce uncertainty and make the decision-making process more efficient. The Simple Multi-Attribute Rating Technique method is one of them, a method that can be applied to decision support systems. This study aims to be a literature review that can help researchers apply the Simple Multi-Attribute Rating Technique method in further research. This study presents 10 articles from national and international accredited journals that use the Simple Multi-Attribute Rating Technique method in their research. The Simple Multi-Attribute Rating Technique method can be used in various case studies, evaluation of student final assignment guidance, identification of employee performance, for selecting the best employees, determining sanctions, and selecting the best cafes in an area.
Model Prediksi Ketercapaian Learning Outcome Based Education Mahasiswa di Program Studi Teknik Informatika Menggunakan Algoritma Machine Learning Danny, Muhtajuddin; Fatchan, Muhamad
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1259

Abstract

The Informatics Engineering Undergraduate Program, Faculty of Engineering, Pelita Bangsa University, implements Outcome Based Education (OBE) by emphasizing the achievement of student Learning Outcomes (LO) as an indicator of the quality of learning in higher education. LO achievement measurement has been mostly done manually through academic assessments, so it is less than optimal in predicting student performance comprehensively. This study aims to build a prediction model for student Learning Outcomes achievement using machine learning algorithms. Research data were obtained from academic results, attendance, lecture activities, and student skill indicators. The prediction model was developed by comparing the Support Vector Machine (SVM), Random Forest, Decision Tree, and Artificial Neural Network (ANN) algorithms, with performance evaluation using accuracy, precision, recall, and F1-score metrics. The results showed that the Random Forest algorithm provided the best performance with more stable accuracy compared to other algorithms. Furthermore, the distribution of Program Learning Outcomes (PLO) in the curriculum shows: PLO 1 (57 courses), PLO 2 (10 courses), PLO 3 (3 courses), PLO 4 (27 courses), PLO 5 (8 courses), PLO 6 (20 courses), PLO 7 (33 courses), PLO 8 (10 courses), PLO 9 (54 courses), and PLO 10 (57 courses). Based on student scores in 57 courses, the distribution of assessment categories is as follows: Very Good 38.1%, Good 46.3%, Fair 8.4%, and Fail 7.2%. Thus, the PLO achievement of the Informatics Engineering Undergraduate Study Program reached 84.4% in the Good and Very Good categories. This finding provides a significant contribution to efforts to monitor and plan strategies for improving the quality of OBE-based learning adaptively and data-driven.
Analisis Sentimen Ulasan Aplikasi Jamsostek dengan SVM, Random Forest, dan Logistic Regression Butsianto, Sufajar; Rifa'i, Anggi Muhammad
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1266

Abstract

The digitalization of public services has encouraged the development of the Jamsostek Mobile (JMO) application by BPJS Ketenagakerjaan. This application is expected to provide convenience in accessing information, JHT claims, and other services. However, user reviews on the Google Play Store show diverse perceptions, ranging from satisfaction to technical complaints. This study aims to conduct sentiment analysis on user reviews of the JMO application by classifying opinions into positive, negative, and neutral sentiments. Data were collected through crawling from the Google Play Store and processed using text preprocessing stages, including data cleaning, case folding, stopword removal, tokenization, stemming, and Term Frequency–Inverse Document Frequency (TF-IDF) weighting. The classification process was then carried out using three machine learning algorithms, namely Support Vector Machine (SVM), Random Forest, and Logistic Regression. The results indicate that negative sentiment dominates with 46%, followed by positive sentiment at 40% and neutral at 14%. Most complaints are related to login difficulties, application errors, and technical bugs in claim features. In terms of algorithm performance, SVM with a linear kernel achieved the highest accuracy of 87.5% and an F1-score of 0.87, outperforming Random Forest (85.3%) and Logistic Regression (82.7%). Academically, this study reinforces the effectiveness of SVM in sentiment analysis using TF-IDF, while practically providing recommendations for BPJS Ketenagakerjaan to improve system stability, login speed, and reduce application bugs to enhance user satisfaction.
Pengaruh Pelatihan, Motivasi dan Disiplin terhadap Kinerja Pegawai dengan Kepuasan Kerja Sebagai Variabel Intervening Anantha, Anggun; Wiratha, Andre; Adif, Riandy Mardhika
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1274

Abstract

The main problem in the research is that in 2024 the performance of BPBD Tanah Datar Regency employees will decrease from the previous year. The motivation given to Tanah Datar Regency BPBD employees has not been maximized so that interest in improving performance is difficult to achieve. The role of job satisfaction as a mediating factor in the relationship between training, motivation and work discipline on employee performance has not been analyzed in depth, so its impact on improving performance has not been properly measured. The aim of the research is to explain the influence of training, motivation and discipline on employee performance with job satisfaction as an intervening variable at BPBD Tanah Datar. The type of research used was quantitative research with a field approach with a sample size of 36 employees at BPBD Tanah Datar Regency. The data analysis technique used in this study was path analysis. The results showed that training had a significant effect on employee performance, motivation had no significant effect on employee performance, discipline had a significant effect on employee performance, training had a significant effect on job satisfaction, motivation had a significant effect on job satisfaction, and discipline had a significant effect on job satisfaction. Job satisfaction mediated the effect of training on employee performance at the Tanah Datar Regency Regional Disaster Management Agency (BPBD), while job satisfaction did not mediate the effect of motivation on employee performance at the Tanah Datar Regency Regional Disaster Management Agency (BPBD), and job satisfaction mediated the effect of discipline on employee performance at the Tanah Datar Regency Regional Disaster Management Agency (BPBD).

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