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All Journal Excellent Jurnal Teknologi Informasi dan Ilmu Komputer Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta DIJB (Diponegoro International Journal of Business) METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming EconBank : Journal Economics and Banking International Journal of Economics, Business and Accounting Research (IJEBAR) Didaktik : Jurnal Ilmiah PGSD STKIP Subang Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat AKTUAL Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan Ekomaks : Jurnal Ilmu Ekonomi, Manajemen, dan Akuntansi Jurnal Teknik Informatika (JUTIF) JINAV: Journal of Information and Visualization Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Inkubis: Jurnal Ekonomi dan Bisnis Proceeding of International Conference Health, Science And Technology (ICOHETECH) Mestaka: Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Jurnal Manajemen, Ekonomi, Hukum, Kewirausahaan, Kesehatan, Pendidikan dan Informatika (MANEKIN) AMMA : Jurnal Pengabdian Masyarakat Journal Of Artificial Intelligence And Software Engineering Hatta: Jurnal Pendidikan Ekonomi dan Ilmu Ekonomi JIBEMA: Jurnal Ilmu Bisnis, Ekonomi, Manajemen, dan Akuntansi International Journal of Contemporary Sciences (IJCS) Edu Komputika Journal Journal of Social Entrepreneurship and Creative Technology Optimal: Jurnal Ekonomi dan Manajemen
Bangun Prajadi Cipto Utomo
Universitas Duta Bangsa Surakarta
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Innovative Learning Strategies and Entrepreneurial intention Among Generation Z: The Mediating Role of Entrepreneurial Self-Efficacy and the Moderating Role of Campus Ecosystem Support Bangun Prajadi Cipto Utomo; Tri Djoko Santoso; Darwina Arshad
Inkubis : Jurnal Ekonomi dan Bisnis Vol. 8 No. 2 (2026): INKUBIS Jurnal Ekonomi Dan Bisnis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/inkubis.v8i2.252

Abstract

Background: Innovative learning strategies are increasingly important in entrepreneurship education for Generation Z students. However, the combined roles of experiential and technology-assisted learning, entrepreneurial self-efficacy, and institutional support remain insufficiently understood. Objective: This study examines the effects of challenge-based learning on entrepreneurial self-efficacy, gammification engagement, and opportunity recognition along with the influence of digital technology and AI-assisted ideation on gamification engagement and opportunity recognition. Additionally it explores the mediating function 0f entrepreneurial self-efficacy and the moderating influence  of campus ecosystem support in the connection between  innovtive learning strategies and  entrepreneurial intention. Methods: Data from 250 students at five private universities in Central Java, Indonesia, were collected through purposive sampling and analyzed using PLS-SEM with 5,000 bootstrap subsamples. Results: Challenge-focused learning showed a positive correlation with entrepreneurial self-efficacy (β = 0.38, p < 0.001) as well as gamification engagement and opportunity identification (β = 0.41, p < 0.001). Digital technology and AI-enhanced brainstorming demonstrated the most significant direct correlation with gamification involvement and opportunity identification (β = 0.45, p < 0.001). Self-efficacy in entrepreneurship mediated the link between innovative learning approaches and entrepreneurial intention (β = 0.30, p < 0.001), whereas support from the campus ecosystem positively moderated this connection (β = 0.21, p < 0.001). The model accounted for 56% of the variation in entrepreneurial intention. Conclusion: Entrepreneurial self-efficacy acts as a crucial psychological factor connecting innovative learning techniques to entrepreneurial intention, with campus ecosystem support enhancing this relationship. Universities ought to combine experiential and AI-supported digital learning with mentoring, incubation initiatives, and partnerships with industry to enhance students' entrepreneurial confidence and encourage entrepreneurial intention.
THE ROLE OF INNOVATION CAPABILITY IN ENHANCING SME COMPETITIVE ADVANTAGE: EVIDENCE FROM INDONESIA'S DIGITAL ECONOMY Bangun Prajadi Cipto Utomo; Tri Djoko Santosa; Ilham Sentosa
International Journal of Economics, Business and Accounting Research (IJEBAR) Vol 10 No 2 (2026): IJEBAR: Vol. 10, Issue 2, June 2026
Publisher : LPPM ITB AAS INDONESIA (d.h STIE AAS Surakarta)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijebar.v10i2.20092

Abstract

The rapid advancement of digital technologies has intensified competition among Small and Medium Enterprises (SMEs), requiring firms to continuously innovate, respond effectively to market changes, and leverage organizational knowledge to sustain competitive advantage. Although previous studies have examined these factors independently, limited research has investigated the integrated effects of open innovation, market orientation, and knowledge management on competitive advantage through innovation capability, particularly in emerging economies. This study examines the direct and indirect relationships among these variables using survey data collected from 200 Indonesian SMEs operating in manufacturing, trade, and service sectors. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that open innovation (β = 0.284), market orientation (β = 0.317), and knowledge management (β = 0.298) positively and significantly influence innovation capability. Furthermore, innovation capability significantly enhances competitive advantage (β = 0.412) and partially mediates the effects of the three antecedent variables. The model explains 68.4% of the variance in innovation capability and 74.1% of the variance in competitive advantage. These findings highlight innovation capability as a strategic mechanism that transforms knowledge resources, external collaboration, and market intelligence into sustainable competitive advantage in an increasingly digital economy.
The role of big data analytics and AI adoption on green innovation and sustainable SMEs performance Bangun Prajadi Cipto Utomo; Jimisiah Jaafar
Diponegoro International Journal of Business Vol 9, No 1 (2026)
Publisher : Department of Management | Faculty of Economics and Business | Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/dijb.9.1.2026.64-76

Abstract

Green innovation has become a major factor in corporate sustainability in today's green economy era. Corporate sustainability is largely determined by the company's human resource management practices. This study investigates how green human resource management practices and digital learning orientation can enhance green innovation and improve sustainable SMEs performance. This study also examines the role of Big Data Analytic moderation and AI adoption in enhancing green innovation. The sample of this study was owners, managers, and supervisors of SMEs in Indonesia, who were obtained using purposive sampling techniques and data analysis methods using PLS-SEM. The results of this study show the important role of green human resource management practices in adapting to environmental changes and encouraging green digital learning orientation and green innovation. In addition, this study also found that green digital learning orientation has a significant effect on green innovation if moderated by Big Data Analytics and AI adoption. The results of this moderation indicate that employees who receive green digital learning will be stronger in practicing green innovation if supported by Big Data and AI. In addition, green innovation strongly influences sustainable SMEs performance and mediates the effect of green human resource management practices on sustainable firm performance.
Model Determinan Minat Beli Produk Kecantikan di Kota Surakarta: Analisis Peran Kualitas Produk, Persepsi Harga dan Digital Marketing Shella Savita Ramadhani; Bangun Prajadi Cipto Utomo; Nur Hadi
Excellent Vol 13, No 1 (2026)
Publisher : STIE AUB Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36587/exc.v13i1.2135

Abstract

The Indonesian cosmetics market has experienced rapid growth lately, resulting in more intense competition among beauty firms. This research seeks aims to investigate how product quality, price, and digital marketing influence consumers' purchase intentions for Wardah cosmetics in Surakarta. This study employed a quantitative survey method. The participants included 100 female individuals aged fifteen years or older. The information gathered through a survey was examined using multiple linear regression. The results indicate that price, online advertising, and product quality have a significant and positive effect on purchase intention. Research indicated that the quality of a product significantly affects consumers' likelihood to buy. The findings suggest that enhancing product quality, keeping prices competitive, and optimizing digital marketing strategies can boost consumers' intention to purchase Wardah beauty products in Surakarta.
Comparison of Machine Learning and Deep Learning Algorithms for Daily Retail Sales Forecasting Eko Purwanto; Bangun Prajadi Cipto Utomo; Hanifah Permatasari; Farahwahida Mohd
Edu Komputika Journal Vol. 12 No. 2 (2025): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v12i2.32773

Abstract

This study presents a comparative analysis of four machine learning (ML) and deep learning (DL) algorithms: Random Forest (RF), Support Vector Machine (SVM), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) for predicting daily retail sales time series. The models were evaluated using key metrics, such as Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared (R²). Results show that RF and SVM outperformed both CNN and LSTM in terms of MAE (3500.28 and 3325.11, respectively) and RMSE (4660.60 and 4293.42, respectively). However, all models had negative R² values, indicating none could explain the variation in the data. LSTM, in particular, was the least efficient model, with an MAE of 54087.25, RMSE of 54257.51, and R² of -158.59. The poor performance of LSTM can be attributed to overfitting, improper model configuration, and misalignment with the nature of the data. The dataset used includes over 1,000 daily retail sales transaction records collected over one year, with key attributes like CustomerID, ProductID, Quantity, Price, TransactionDate, PaymentMethod, StoreLocation, ProductCategory, DiscountApplied, and TotalAmount. While the dataset is representative, its size and complexity may not have been sufficient for deep learning models like LSTM and CNN, which generally require larger datasets for optimal performance. This study highlights the challenges of using deep learning for retail forecasting and suggests future research should focus on refining models and incorporating external datasets to improve prediction accuracy.
Pengembangan Sistem Informasi Manajemen Dalam Mendukung Transformasi Digital Dan Peningkatan Kinerja UMKM Tri Djoko Santosa; Bangun Prajadi Cipto Utomo; Moh. Muhtarom
Jurnal Manajemen, Ekonomi, Hukum, Kewirausahaan, Kesehatan, Pendidikan dan Informatika Vol 4 No 2 : Desember (2025): Jurnal Manajemen, Ekonomi, Hukum, Kewirausahaan, Kesehatan, Pendidikan
Publisher : Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Micro, Small, and Medium Enterprises (MSMEs) face significant adaptation challenges in the digital economy era, which demands integrated information management. This study aims to develop and examine the effectiveness of a Management Information System (MIS) in supporting digital transformation and improving MSME performance. The research employs a Research and Development (R&D) approach, with CV Pustaka Bengawan as the research object. Data were collected through observation, interviews, and questionnaires, while data analysis utilized descriptive statistics and paired sample tests. The results indicate that the implementation of the MIS has a positive and significant effect on business process efficiency and the quality of managerial information, which in turn contributes to improved MSME performance. This study concludes that an integrated MIS serves as a strategic foundation for supporting sustainable digital transformation in MSMEs.
Comparative Analysis of Classification Models for Sales Prediction in E-commerce: Decision Tree, Random Forest, SVM, Naive Bayes, and KNN Purwanto, Eko; Cipto Utomo, Bangun Prajadi; Permatasari, Hanifah; Mohd, Farahwahida
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5224

Abstract

The swift expansion of e-commerce has markedly heightened the necessity for precise sales forecasting, essential for efficient marketing tactics and inventory control. This research evaluates five classification models—Decision Tree, Random Forest, Support Vector Machine (SVM), Naive Bayes, and K-Nearest Neighbors (KNN)—to predict sales outcomes using e-commerce transaction data. The models were assessed utilizing criteria including accuracy, precision, recall, F1-score, AUC, and Log Loss. The findings indicate that Random Forest exceeds the performance of the other models, with an accuracy of 97.5% and an AUC of 0.991, markedly outperforming the alternatives. This study presents a unique contribution by contrasting these classification models in the realm of e-commerce in Indonesia, yielding significant insights for the advancement of more effective predictive algorithms in informatics. The results not only enhance the optimization of marketing strategies but also enrich the comprehension of machine learning applications in sales forecasting. This study underscores the necessity of choosing the appropriate model for enhanced sales forecasting, with considerable ramifications for data-driven decision-making in the e-commerce sector.
The Effect of Self-Efficacy and Entrepreneurial Knowledge on Entrepreneurial Interest with Motivation as an Intervening Saryadi Saryadi; Liss Dyah Dewi Arini; Bangun Prajadi Cipto Utomo
Journal of Social Entrepreneurship and Creative Technology Vol. 1 No. 2 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jseact.v1i2.1249

Abstract

Universities have a role in shaping students' specialization in entrepreneurship. The small interest of university alumni needs to be carried out in various studies. Factors that if they are influential need to be studied. The purpose of this study is to determine the direct and indirect influence of self-efficacy, entrepreneurial knowledge on entrepreneurial interest with motivation as an intervening variable.  The number of samples filled out were students of Duta Bangsa University Surakarta in the 3rd semester of the Faculty of Law and Business Management Study Program with 44 respondents, the Faculty of Health Sciences S1 ARS Study Program with 8 respondents and the RMIK Study Program with 53 respondents through google form so that the number of samples was 105. Data analysis through path analysis, data quality test/survival test and statistical test.  The results showed that self-efficacy and entrepreneurial knowledge had a significant positive effect on motivation. Self-efficacy and entrepreneurial knowledge have a significant positive effect on entrepreneurial interest. Motivation has a positive but not significant effect on entrepreneurial interest. The direct influence of self-efficacy is the most effective variable in influencing the interest in self-efficacy.  
Strategi Manajemen Rantai Pasok Pangan Lokal Untuk Mendukung Keberlangsungan Program Makan Bergizi Gratis (MBG) Agung Dirmansyah; Amad Tri Yanto; Mohammad Farreldi Azhar Permana; Rahma Fauzia Madaningrum; Bangun Prajadi Cipto Utomo
JIBEMA: Jurnal Ilmu Bisnis, Ekonomi, Manajemen, dan Akuntansi Vol. 4 No. 1 (2026): July
Publisher : CV. Muris Global Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62421/jibema.v4i1.627

Abstract

Penelitian ini mengkaji strategi manajemen rantai pasok pangan lokal yang diterapkan di Kabupaten Sukoharjo guna mendukung keberlangsungan Program Makan Bergizi Gratis (MBG). Program MBG memiliki potensi besar dalam meningkatkan status gizi anak, namun keberlanjutannya sangat bergantung pada efektivitas pasokan pangan yang berkualitas dan berkelanjutan. Studi kasus ini bertujuan untuk mengidentifikasi elemen-elemen kunci dalam rantai pasok pangan lokal, menganalisis tantangan yang dihadapi, serta merumuskan strategi manajemen yang optimal. Metode penelitian menggunakan pendekatan kualitatif dengan studi kasus pada salam satu Sistem Pemasok Pangan Gizi (SPPG) di Kabupaten Sukoharjo. Data dikumpulkan melalui wawancara mendalam, observasi, dan analisis dokumen terkait. Hasil penelitian menunjukkan bahwa strategi yang efektif meliputi penguatan kemitraan antara petani lokal, distributor, dan penyelenggara program MBG, penerapan standar kualitas pangan yang ketat, serta optimalisasi sistem logistik. Tantangan utama yang dihadapi terkait dengan fluktuasi pasokan, kualitas yang bervariasi, dan koordinasi antarpihak. Rekomendasi strategi yang dikembangkan berfokus pada peningkatan kapasitas petani lokal, diversifikasi sumber pasokan, pengembangan platform digital untuk transparansi rantai pasok, serta pembentukan gugus tugas yang solid untuk memantau dan mengevaluasi implementasi program. Dengan strategi yang terkelola dengan baik, rantai pasok pangan lokal dapat menjadi fondasi yang kokoh bagi keberhasilan jangka panjang program MBG.
Analisis Kepuasan Pelanggan dan Kualitas Layanan terhadap Niat Pembelian Ulang pada Pelanggan di UMKM Surakarta Isni Yanuarti Puspitasari; Bangun Prajadi Cipto Utomo; Nur Hadi
JIBEMA: Jurnal Ilmu Bisnis, Ekonomi, Manajemen, dan Akuntansi Vol. 4 No. 1 (2026): July
Publisher : CV. Muris Global Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62421/jibema.v4i1.630

Abstract

UMKM merupakan sektor penting dalam perekonomian yang pada saat ini tidak jarang menemukan usaha kecil ini pada setiap rumah. Dalam konteks persaingan usaha yang semakin ketat, UMKM harus memberikan layanan yang maksimal, dan kepuasan pelanggan guna menciptakan perilaku pembelian ulang. Walaupun UMKM di Surakarta menerapkan kualitas yang baik, UMKM tersebut masih belum secara konsisyen diberikan kepada pelanggan, dan pelanggan pun menjadi tidak merasa puas terhadap pelayanan UMKM. Pada penelitian sebelumnya, masih ditemukan kekurangan studi yang secara mendalam mengenai aspek kepuasan pelanggan dan kualitas layanan di lingkungan UMKM Surakarta. Pada penelitian ini bertujuan untuk mengetahui apakah niat pembelian ulang dipengaruhi oleh kepuasan pelanggan dan kualitas layanan. Metode dalam penelitian ini menggunakan pendekatan kuantitatif, dimana objek dalam penelitian ini adalah responden yang pernah melakukan pembelian di UMKM Surakarta. Hasil dari penelitian ini Adalah, kepuasan pelanggan memiliki pengaruh signifikan dengan niat pembelian ulang, sama halnya variabel kualitas layanan yang juga berpengaruh signifikan terhadap niat pembelian ulang. Dapat disimpulkan dari hasil tersebut bahwa kepuasan pelanggan dan kualitas layanan signifikan memberikan pengaruh kepada pelanggan untuk melakukan pembelian ulang di UMKM Surakarta.
Co-Authors Agung Dirmansyah Agus Santoso, Aris Prio Ahmad Tomi Sholikhin Amad Tri Yanto Anisa Dwi Anggraini An’nissa Ita Yulianti Bintang Alan Bukhari Camukti Selo Kapiji Darwina Arshad Della Arventya Vadmara Denofata Swastikasari Eko Purwanto Farahwahida Mohd Harmastuti, Primadia Putri Heri Irawan Ilham Sentosa Indra Hastuti Isni Yanuarti Puspitasari Jimisiah Jaafar Liss Dyah Dewi Arini Liss Dyah Dewi Arini Lulu Fitriana Laela Maulindar, Joni Mega Artha Meviana Moh Muhtarom Mohammad Farreldi Azhar Permana Mohd, Farahwahida Mohd, Idaya Husna Binti Munaiseche, Christian Imanuel Novemy Triyandari Nugroho Nur Hadi Nurchim Nurmalitasari Nurmalitasari Osman, Sharina Permatasari, Hanifah Rahma Fauzia Madaningrum Refky Setiawan Rifan Amirul Hafizh, Muhammad Rio Rizq Nur Bhactiar Santosa, Tri Djoko Sarah Fadila Sarah Sentosa, Ilham Shella Savita Ramadhani Sri Sumarlinda Suryani, Fajar Tri Djoko Santosa Tri Djoko Santosa Widya Monika Sari Windi Shilvia Puspitasari