S. Wardah, Marimin Marimin, M. Yani, Taufik Djatna
{"title":"Spatial Intelligent Decision Support System for Coconut Agroindustry Downstream Development: An Overview","authors":"S. Wardah, Marimin Marimin, M. Yani, Taufik Djatna","doi":"10.1109/ICIC50835.2020.9288517","DOIUrl":null,"url":null,"abstract":"Coconut agroindustry downstream has received its importance regarding the impact on the sustainability of coconut commodities. However, developing the downstream side of coconut remains a great challenge due to its complexity comprised of actors involved with their interests, the value of decision-making variables that are difficult to predict, and the presence of incomplete information in determining the right and fast decisions. To fill the gap, we need a spatial intelligent decision support system to accelerate the decision-making process. The method used in this research was the system development life cycle with the waterfall approach. This research identified system mechanisms, system analysis, system design, system configuration, and system development. The results of this study are the basis for developing system applications.","PeriodicalId":413610,"journal":{"name":"2020 Fifth International Conference on Informatics and Computing (ICIC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Fifth International Conference on Informatics and Computing (ICIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIC50835.2020.9288517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Coconut agroindustry downstream has received its importance regarding the impact on the sustainability of coconut commodities. However, developing the downstream side of coconut remains a great challenge due to its complexity comprised of actors involved with their interests, the value of decision-making variables that are difficult to predict, and the presence of incomplete information in determining the right and fast decisions. To fill the gap, we need a spatial intelligent decision support system to accelerate the decision-making process. The method used in this research was the system development life cycle with the waterfall approach. This research identified system mechanisms, system analysis, system design, system configuration, and system development. The results of this study are the basis for developing system applications.