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Decision Support System Selection Cocoa Seed Using Web-Based AHP Hybrid WP Method Andarias Liku; Muslimin B; Yuanita Yuanita
TEPIAN Vol 1 No 4 (2020): December 2020
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v1i4.197

Cocoa Plant (Theobroma cacao L) is one of the plantation commodities that has an important role in the Indonesian economy. One of the cocoa-producing regions in Indonesia is East Kalimantan, the expanse of land in KALTIM Province is still a lot that is not optimally cultivated so that if utilized for cocoa crops, it will have a positive impact on the regional economy. The first step that should be taken by cocoa farmers is the need to use superior cocoa planting materials (seeds). But in cocoa seed selection there are still many who use manual systems so that this kind of thing takes a long time and is less efficient, so a system is needed that is the System supporting cocoa seed selection decisions using AHP hybrid WP method based on the web. This aims to make it easier for cocoa farmers to efficiently select cocoa seeds. This study aims to calculate and create a system that can manage cocoa seed selection by applying modeling of hybrid WP AHP method that can be accessed by many people. The method used is the AHP Hybrid WP Method which is the merging of two methods namely the AHP method and the WP method. The AHP method is used to evaluate the weight value of the criteria, while the WP method is used to evaluate alternative values so that the two methods get a ranking decision. This application can calculate and process cocoa seedlings to produce the best cocoa seed sequence and accessible to many in need.

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

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.

Decision Support System for Selection of Superior Crystal Guava Seeds with SMART Method Yuliyana; Muslimin B; Suci Ramadhani
TEPIAN Vol 3 No 3 (2022): September 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Crystal guava is one of the horticultural plants that play a role in meeting food needs, the horticultural sector is also able to contribute to domestic income. The purpose of this study was to produce a Decision Support System for the Selection of Crystal Guava. By using the PHP programming language and the database using MySQL and using the waterfall model for system development and Unified Modeling Language (UML) for system design. In this study, the data collection techniques used were literature study, observation and interviews. The result of this research is a decision support system is made to determine the proper selection of Crystal Guava Seeds. Users can input alternative data, view criteria data. Then the system will find a solution using the SMART method. After the decision is obtained, the system will display the final result of the calculation.

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

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

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.

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 | DOI: 10.51967/tepian.v3i2.852

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 | DOI: 10.51967/tepian.v3i4.1417

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 | DOI: 10.51967/tepian.v4i1.1644

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.

Decision Support System for Selection of Superior Crystal Guava Seeds with SMART Method Yuliyana; B, Muslimin; Ramadhani, Suci
TEPIAN Vol. 3 No. 3 (2022): September 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v3i3.890

Crystal guava is one of the horticultural plants that play a role in meeting food needs, the horticultural sector is also able to contribute to domestic income. The purpose of this study was to produce a Decision Support System for the Selection of Crystal Guava. By using the PHP programming language and the database using MySQL and using the waterfall model for system development and Unified Modeling Language (UML) for system design. In this study, the data collection techniques used were literature study, observation and interviews. The result of this research is a decision support system is made to determine the proper selection of Crystal Guava Seeds. Users can input alternative data, view criteria data. Then the system will find a solution using the SMART method. After the decision is obtained, the system will display the final result of the calculation.

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