TEPIAN Vol. 3 No. 2 (June 2022) p-ISSN 2721-5350 e-ISSN 2721-5369 doi.org/10.51967/tepian.v3i2.852 © 2022 TEPIAN Agricultural Polytechnic of Samarinda - APTIKOM Kaltim This work is licensed under a Creative Commons Attribution 4.0 License CC-BY – 76 – Decision Support System for Selection of the Superior Mango Seeds Using Web-based Analytical Hierarchy Process (AHP) Hybrid Simple Additive Weighting (SAW) Method Noviana Software Engineering Technology, Agriculture Polytechnic of Samarinda, 75242, Indonesia noviana981107@gmail.com Muslimin B * Software Engineering Technology, Agriculture Polytechnic of Samarinda, 75242, Indonesia muslimin@politanisamarinda.ac.id *Corresponding Author Suci Ramadhani Software Engineering Technology, Agriculture Polytechnic of Samarinda, 75242, Indonesia suciramadhani@politanisamarinda.ac.id Submitted: 2021-10-28; Accepted: 2022-04-24; Published: 2022-06-01 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. Keywords— Decision Support System, AHP Method, SAW Method, Hybrid, Mango Seed Selection I. INTRODUCTION Indonesia is a horticultural country that agricultural production, one of which is mango production, one of which is the production of mangoes.by use of superior seeds has a major effect on the productivity of farming, to increase the productivity of farming, it is very necessary to provide high-quality seeds for farmers and the community so that farmers can increase the yield and quality of production of superior mango seeds (Yahyan and Siregar 2019). A Decision Support System (DSS) is a model-based system consisting of procedures in processing and considerations to assist farmers (users) in making decisions. In order to succeed in achieving its objectives, the system must be simple, robust, easy to control, fully adaptable to important matters, and easy to communicate with (Oktaputra, et al 2014). In this research, using a combination of two methods, namely AHP and SAW. The AHP method is used to determine the weight of importance between criteria (Sugianto, et al 2016). The SAW method is used to determine the value of alternative preferences based on criteria, so as to produce a ranking of each alternative. Based on the description of the background of the problems mentioned earlier, the formulation of the problems proposed for this research One of the problems is that a large number of existing manga seeds can make it difficult for farmers to determine high-quality superior manga seeds. Therefore, special knowledge is needed about high-quality mango seeds so that harvest yields are more optimal, for that a decision support system application is needed that is able to provide information and recommendations to farmers about good quality mango seeds. The purpose of this research is to design a computer- based decision support system to choose alternative superior mango seeds that can be used to help facilitate farmers who cultivate mango plants in choosing superior mango seeds. II. LITERATURE REVIEW A. Literature Study Some of the literature that used as a guide and reference in this research include: Research conducted by Beni Irawan (2013) entitled "Decision Support System for Selection of Oil Palm Seeds Using the Simple Additive Weighting (SAW) Method". The system made for this decision is using the SAW (Simple Additive Weighting) method. The SAW method is to find the weighted sum of the performance ratings for each alternative on all attributes. Research conducted by Ardhy (2018) entitled "Decision Support System for Corn Seed Selection Using the Analytical Hierarchy Process (AHP) Method at the Abadi Jaya Store, East Lampung". In this research, a decision support system can help users determine Corn Seeds according to the desired alternatives and criteria. The method used is Analytical Hierarchy Process (AHP).