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All Journal Jurnal Sosial Ekonomi Pertanian Journal of Information Technology and Computer Science
Syafrial Syafrial
Brawijaya University
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Social Sciences

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Hybrid Real-Coded Genetic Algorithm and Variable Neighborhood Search for Optimization of Product Storage Nindynar Rikatsih; Wayan Firdaus Mahmudy; Syafrial Syafrial
Journal of Information Technology and Computer Science Vol. 4 No. 2: September 2019
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3014.617 KB) | DOI: 10.25126/jitecs.201942111

Abstract

Agricultural product storage has a problem that need to be noticedbecause it has an impact in gaining the profit according to the number ofproducts and the capacity of storage. Inappropriate combination of productcauses high expenses and low profit. To solve the problem, we propose geneticalgorithm (GA) as the optimization method. Although GA is good enough tosolve the problem, GA not always gives an optimum result in complex searchspaces because it is easy to be trapped in local optimum. Therefore, we presenta hybrid real-coded genetic algorithm and Variable Neighborhood Search(HRCGA-VNS) to solve the problem. VNS is applied after reproductionprocess of GA to repair the offspring and improve GA exploitation capabilitiesin local area to get better result. The test results show that the optimal popsizeof GA is 180, number of generations is 80, combination of cr and mr is 0.7 and0.3 while optimum Kmax of VNS is 40 with number of iterations 50. Eventhough HRCGA-VNS need longer computational time, HRCGA-VNS hasproven to provide a better result based on higher fitness value compared withclassical GA and VNS.
Bagaimana Petani dalam Pengelolaan Risiko? Persepsi dan Perilaku Petani Tebu di Jawa Timur Intan Mega Maharani; Nuhfil Hanani; syafrial syafrial
JSEP (Journal of Social and Agricultural Economics) Vol 16 No 1 (2023): JURNAL SOSIAL EKONOMI PERTANIAN (J-SEP)
Publisher : University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jsep.v16i1.38094

Abstract

One of the challenges of increasing sugarcane productivity is that unpredictable external factors expose farmers to a variety of risk production, necessitating farmers to adapt to these changes. This study intends to examine farmers' perceptions and behavior toward risk as an alternative to a new strategy for increasing sugarcane productivity through 237 samples of sugarcane farmers in East Java. The Just and Pope model was utilized to analyze risk preferences and the probit regression model was utilized to identify the socioeconomic elements influencing this behavior. According to the perception analysis, productivity is significantly influenced by climate, pests and diseases, labor, and land area. However, farmers typically only make passive adjustments, which is consistent with the analysis that they are risk- averse. This attitude is significantly influenced by age, whereas factors like farming experience, size of the family, off-farm, and education have insignificant impacts. To anticipate the unpredictable external changes and raise the farmer's quality, it is suggested to increase the frequency of training and the use of technology. This will encourage farmers to take more chances and be more open to using new technologies.
Co-Authors Intan Mega Maharani Nindynar Rikatsih Nuhfil Hanani Wayan Firdaus Mahmudy