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All Journal Jurnal Publikasi Ilmu Komputer dan Multimedia JTH: Journal of Technology and Health
Gunawan, Riyan Fahmi
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Computer Science & IT Health Professions Medicine & Pharmacology Nursing

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AVOCADO STOCK PREDICTION IN BANTUL CITY USING MAMDANI FUZZY LOGIC Wisnu Setiawan; Tri Hastono; Gunawan, Riyan Fahmi; Rama Sona
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol 3 No 1 (2024): Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v3i1.2524

Abstract

This journal discusses the development of an avocado stock prediction model in Bantul City using the Mamdani fuzzy logic approach. In this context, fuzzy logic is used to address the uncertainty and complexity associated with factors affecting avocado supplies, such as stock variability, demand and price variables. The Mamdani approach is applied to formulate fuzzy rules based on a combination of expert knowledge and historical avocado stock data. This method aims to produce avocado stock predictions that are more accurate and adaptive to market dynamics. Through a series of experiments, the results show that the Mamdani fuzzy logic model has a significant level of accuracy, outperforming traditional stock prediction methods. The results obtained show the potential of this model in improving the efficiency of avocado inventory management at the local level. This research makes an important contribution especially in the context of agribusiness, providing a foundation for a more sophisticated and adaptive prediction approach to avocado fruit stock management. The implications are widely applicable in the agribusiness sector and provide a basis for the development of similar prediction systems for other agricultural commodities.
AVOCADO STOCK PREDICTION SYSTEM IN FRUIT SHOPS: A Case Study in Bantul City Setiawan, Wisnu; Hastono, Tri; Gunawan, Riyan Fahmi
JTH: Journal of Technology and Health Vol. 1 No. 1 (2023): July: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.vi.3

Abstract

This study aims to develop a predictive system for avocado stock that can be used by fruit stores in Bantul City. This case study was conducted to analyze and predictavocado inventory based on historical data and other factors influencing demand and supply in the area. The method used in this research is the prediction method using Adaline (Adaptive Linear Neuron). The results show that this avocado stock prediction system can assist fruit stores in optimizing inventory and avoiding stockouts. The implementation of this system is expected to enhance efficiency andcustomer satisfaction in fruit stores in Bantul City. Further research is recommended to conduct a more in-depth analysis of the factors influencingavocado demand and supply in Bantul City to improve stock predictionaccuracy. Keywords: predictive system, avocado stock, fruit store, inventory management, Bantul City.
Co-Authors Hastono, Tri Rama Sona Tri Hastono Wisnu Setiawan