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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Manajemen dan Kewirausahaan
Asy’ari, Vaizal
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Transportation

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HARNESSING ENTREPRENEURIAL BRICOLAGE FOR MSME’S SUCCESS: INNOVATION AND ADAPTATION AT TANJUNG PENYU BEACH Kustiningsih, Nanik; Nam, Le Hoai; Asy’ari, Vaizal
Jurnal Manajemen dan Kewirausahaan Vol. 27 No. 1 (2025): MARCH 2025
Publisher : Management Study Program, Faculty of Business and Economics, Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jmk.27.1.33-42

Abstract

This study explores the role of bricolage as a strategic mechanism in the entrepreneurial success of MSMEs at Tanjung Penyu Beach, Malang, which has transformed from an agricultural area into a tourist destination. This research addresses a gap in the literature, which has paid limited attention to the application of bricolage in the context of land-use changes and MSMEs adaptation in the tourism sector of developing countries. Most previous studies have focused on bricolage in the context of technological innovation or large-scale businesses, while its role in supporting MSMEs adaptation in resource-constrained regions remains underexplored. Using a qualitative approach through in-depth interviews, this research identifies how MSMEs in the region creatively utilize local resources following the conversion of agricultural land into a tourism site, providing opportunities for farmers to adapt to environmental changes. This research introduces new insights into how bricolage can be used as a flexible adaptation strategy to address changes in the business environment in developing coastal areas. The findings indicate that bricolage techniques enhance product innovation, leverage social networks, and create new value for MSMEs. However, a major challenge is the promotional strategy, which remains limited to local media, hindering the potential to attract more visitors. The study aims to provide new perspectives on how bricolage techniques can help MSMEs overcome resource constraints, innovate, and capitalize on opportunities in a dynamic context. This study offers insights into how bricolage can help overcome resource constraints and adapt to market changes, highlighting the need for more effective digital promotion strategies to enhance the appeal of Tanjung Penyu Beach as a tourist destination and maximize the success of MSMEs in the area.
COMPARISON OF K-NEAREST NEIGHBOR AND NEURAL NETWORK FOR PREDICTION INTERNATIONAL VISITOR IN EAST JAVA Novita, Dina; Herlambang, Teguh; Asy’ari, Vaizal; Alimudin, Arasy; Arof, Hamzah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp2057-2070

Abstract

Tourism is one of the government's priority sectors for economic growth. East Java is one of Indonesia's provinces and is attractive to international visitors. International visitors will appreciate the natural beauty and multiculturalism offered by East Java. In this study, predictions of international visitor visits in East Java from the entrance of Juanda International Airport were carried out using k-NN (k-Nearest Neighbor) and a neural network. The dataset used is based on BPS statistics of Jawa Timur Province in the form of the number of international visitor arrivals from January 2000 to February 2024. The datasets were distributed by dividing the data into 70% for training data and 30% for testing data. The creation of the k-NN model is carried out using k-values 2 to 7. The creation of a modern neural network using hidden layers 1 to 3. The prediction results that were made using k-NN obtained optimal RMSE at k-values 2, resulting in an RMSE of 1594,674 or an error of 3,98%. Meanwhile, the prediction results that have been made using neural networks obtained optimal RMSE at two hidden layers, which resulted in an RMSE of 1873, 355 or an error of 4,68%. So, it is recommended that the k-NN algorithm be used to predict the number of international visitors in East Java. The results of this study can be used to provide quantitative information for the government and stakeholders in adjusting the program to the development of international visitors visiting East Java.
Co-Authors Arasy Alimudin Arof, Hamzah Dina Novita, Dina Kustiningsih, Nanik Nam, Le Hoai Teguh Herlambang