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INDONESIA
Jurnal Informatika Ekonomi Bisnis
Published by Asia Pacific Network for Sustainable Agriculture, Food and Energy
ISSN : 27148491     EISSN : 27148491     DOI : https://doi.org/10.37034/infeb
Core Subject : Economy,
Economics, Econometrics & Finance
The Jurnal Informatika Ekonomi Bisnis (INFEB) is an interdisciplinary journal. It publishes scientific papers describing original research work or novel product/process development. The objectives are to promote an exchange of information and knowledge in research work, and new inventions/developments on the use of Informatics in Economics and Business. This journal is useful to researchers, engineers, scientists, teachers, managers, and students who are interested in keeping a track of original research and development work being carried out in the broad area of informatics in economics and business through a scholarly publication.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 625 Documents
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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): Accepted
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): Accepted
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.
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).
Perbandingan Metode Klasifikasi dalam Memprediksi Penyakit Ginjal Kronis Ermanto; Surojudin, Nurhadi
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.v7i3.1263

Abstract

Chronic Kidney Disease (CKD) is a global health issue with an increasing prevalence that poses a significant economic burden on healthcare systems. Early detection of CKD is crucial to provide proper treatment before the disease progresses to end-stage renal failure. With technological advancements, machine learning methods have been widely utilized to support medical diagnosis with greater speed and accuracy. This study aims to compare the performance of two popular classification algorithms, Decision Tree C4.5 and Naïve Bayes, in predicting CKD using a public dataset from the UCI Machine Learning Repository consisting of 400 patient records with 24 clinical attributes. The research process involved systematic preprocessing steps, including handling missing values, transforming categorical data into numerical form, and selecting relevant attributes. Model evaluation was conducted using 10-Fold Cross Validation with performance metrics such as accuracy, precision, recall, Area Under the Curve (AUC), and statistical T-Test. The results show that Decision Tree C4.5 achieved an accuracy of 93.00%, precision of 84.27%, recall of 100%, and an AUC of 0.944, while Naïve Bayes obtained an accuracy of 93.50%, precision of 85.23%, recall of 100%, and an AUC of 0.948. Although the performance differences between both algorithms are relatively small and statistically insignificant, Naïve Bayes demonstrated slightly better results in terms of accuracy and AUC, while Decision Tree C4.5 offers advantages in interpretability through its classification rules. In conclusion, both algorithms are effective for early CKD diagnosis, and the choice may depend on practical needs, whether emphasizing interpretability or computational efficiency. This study contributes to the development of more accurate and efficient clinical decision support systems for improving healthcare services in CKD management.
Kepemimpinan Etis dan Dukungan Organisasi terhadap Perilaku Kewargaan Organisasional Mahasiswa Anggota UKM di Tanjungpinang Fani, Lastri Anggi; Randa, Fradya; Sufnirayanti
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.v7i3.1269

Abstract

This study aims to analyze the influence of ethical leadership and perceived organizational support on organizational citizenship behavior (OCB) among students actively involved in Student Activity Units (UKM) in Tanjungpinang. The phenomenon of low voluntary participation among students in organizational activities highlights the need to examine factors that may enhance such extra-role behaviors. A quantitative approach with a survey design was employed, and data were collected through questionnaires distributed to 120 active UKM students. The data were analyzed using multiple linear regression. The findings indicate that ethical leadership does not have a significant effect on students’ OCB. In contrast, perceived organizational support was found to have a positive and significant effect on OCB. Furthermore, when tested simultaneously, ethical leadership and perceived organizational support significantly influence OCB, with 98 percent of the variance in students’ behavior explained by these two variables, while the remaining 2 percent is explained by other factors outside the research model. These results emphasize that perceived organizational support plays a dominant role in shaping students’ OCB, while ethical leadership still serves as a complementary factor that strengthens the overall model.
Design Kualitas Electronic Word of Mouth terhadap Kinerja Pemasaran Melalui Brand Image Selvi, Maria Jenia; Hiong, Lauw Sun
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.v7i3.1270

Abstract

The ease of access to capital for MSMEs has led to their continued growth. It is known that food and beverage businesses in Pontianak are very diverse, and entrepreneurs can strive to build a positive image, for example by developing the appeal of their products, starting from unique packaging, guaranteed product quality, and marketing methods, both digitally and non-digitally. A good image plays an important role and can encourage existing customers to provide positive reviews. A strategy that entrepreneurs can implement in marketing is to utilize electronic word of mouth, with this information about products conveyed through a good brand image by customers will ultimately increase sales and profits. The study used a quantitative method and a causal approach, namely examining the cause-and-effect relationship between the variables EWOM (x), brand image (z) and marketing performance (y). Data were collected through a questionnaire based on a numeric rating scale, namely a value of 1 to 10. The research population was MSMEs in the food and beverage sector in Pontianak. The sample determined was 147 respondents with a purposive sampling technique, and the data were analyzed using analysis of moment structures (AMOS). The results of the study indicate that electronic word of mouth (EWOM) influences brand image, marketing performance, brand image, and marketing performance through brand image.
Hubungan Brand Awareness dan Customer Value terhadap Purchase Decision Motor Honda oleh Masyarakat Kabupaten Sanggau Meiliana, Karwinda; Santika, Dewi
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.v7i3.1258

Abstract

This study aims to develop a conceptual model to examine the influence of brand awareness and customer value on the purchase decision of Honda motorcycles among consumers in Sanggau Regency. The population in this study includes all Honda motorcycle users in the area, although the exact number is unknown. A total of 135 respondents were selected using a strata quota sampling technique with a purposive sampling approach. Data were collected through questionnaires and interviews, then analyzed using multiple linear regression with the assistance of SPSS software. The findings reveal that both brand awareness and customer value have a positive and significant effect on purchase decisions, both individually and simultaneously. The resulting regression model is Y = 0.313X1 + 0.535X2, indicating that these two variables jointly explain a substantial portion of consumer purchasing behavior toward Honda motorcycles in the region. These results highlight that brand strength and perceived product value remain critical components in formulating effective marketing strategies.
Managerial Competence, GHRM dan Green Accounting terhadap Keberlanjutan Ekowisata Satria, Mohd Rhana; Sari, Rizki Yuli
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.v7i3.1264

Abstract

This study aims to analyze the effect of managerial competence, green human resource management (GHRM), and green accounting on ecotourism sustainability in Community-Based Tourism Groups (Pokdarwis) in the coastal tourism areas of Bintan. The research employed a quantitative approach with a survey method to several Pokdarwis in Bintan. Data were analyzed through validity and reliability tests, as well as multiple linear regression analysis. The findings reveal that managerial competence and green accounting particularly in recording and managing conservation costs have a significant positive effect on ecotourism sustainability, while GHRM shows a significant negative effect. Simultaneously, the three variables contribute 93.5% to ecotourism sustainability. These results highlight the importance of strengthening managerial competence and optimizing the recording of conservation costs through green accounting, as well as evaluating GHRM practices to make them more effective in supporting ecotourism sustainability.

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