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Muslimin B
Software Engineering Technology, Agriculture Polytechnic of Samarinda
Computer Science & IT

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Decision Support System for Selection of the Superior Mango Seeds Using Web-based Analytical Hierarchy Process (AHP) Hybrid Simple Additive Weighting (SAW) Method Noviana; Muslimin B; Suci Ramadhani
TEPIAN Vol 3 No 2 (2022): June 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (915.179 KB) | DOI: 10.51967/tepian.v3i2.852

Abstract

Indonesia is a horticultural country that agricultural production, one of which is mango production. Mango (Mangifera indica L) is one of the leading horticultural commodities in Indonesia. The use of high-quality seeds has made an impact influence on the productivity of farming, to increase the productivity of farming, it is very necessary to provide superior seeds for farmers so that farmers can increase yields and quality of production. With so many manga seeds available, a Decision Support System is needed or often called a Decision Support System (DSS). DSS is a model-based system consisting of procedures in processing and considerations to assist farmers (users) in making decisions on the selection of high-quality manga seeds. In this research, the method used is the Analytical Hierarchy Process (AHP) in searching for the weighting criteria and the Simple Additive Weighting (SAW) method in performing alternative rankings. The results of this study are to make it easier for farmers and the community in choosing superior manga seeds.
Web-Based Geographic Information System of Livable House in Kandolo Village Rahmawati; Husmul Beze; Muslimin B
TEPIAN Vol 3 No 4 (2022): December 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (905.936 KB) | DOI: 10.51967/tepian.v3i4.1417

Abstract

A livable house is abbreviated as the feasibility of a residential house which can be measured from 2 aspects, namely the physical quality of the house and the quality of house facilities. The physical quality of the residential house is measured by 3 variables, namely the type of roof, the type of wall, and the type of floor, while the quality of the housing facilities is measured by 2 variables, namely the source of lighting and the availability of toilet facilities. In this study, the authors use the prototype method using data analysis and system design. This web-based geographic information system for livable houses in Kandolo Village aims to assist in the data collection process for livable houses in Kandolo Village. The results of this study 257 house data have been entered, of which 247 houses are suitable for livable on, 6 houses that are less suitable for livable on, and 4 houses that are not suitable for livable on. For visitors, this system functions to select houses that are livable by looking at several registered pins, then the system will take the resident data detail page. Then in the detail section of citizen data, there will be some resident data, photos of houses, and routes to their destination. From the application trial results, the author conducted a black box test with 11 test class items and respondent tests for direct users at the Kandolo Village Office where the features are used to well and are accepted among the community.
Decision Support System for Selection of Productive Land in Corn Using the SMART Method Yunike Andrayani; Muslimin B; Annafi Franz
TEPIAN Vol 4 No 1 (2023): March 2023
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (640.597 KB) | DOI: 10.51967/tepian.v4i1.1644

Abstract

Indonesia is one of the developing countries which has characteristics in one sector in agriculture, which is one source of income and improves the economy of farmers, but farmers in processing agricultural land are still not maximized as a means of productive plant land. This productive land requires a technology that can assist in land selection, the purpose of this research is to produce a Decision Support System for the Selection of Productive Land in Corn Plants Using a Web-Based Smart Method, and the author wants to implement the Smart method into the selection of productive land for corn plants that is safe in this system requires data that includes data criteria and alternatives. The results of the data are processed using intelligent methods so that it will produce alternative recommendations that have the highest value. this research can help coordinators of agricultural extension centers assist farmers in managing land to be productive.
Co-Authors Annafi’ Franz Husmul Beze Noviana Rahmawati Suci Ramadhani Yunike Andrayani