Siti Mukodimah
Prodi Sistem Informasi, STMIK Pringsewu, Lampung

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Journal : International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec)

SIMPLE ADDITIVE WEIGHTING METHOD AS A DECISION- MAKING MODEL FOR DETERMINING FRUIT QUALITY BANANA SEEDS IN TANGGAMUS LAMPUNG Meyla Nurvita; Siti Mukodimah
International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec) Vol. 1 No. 3 (2021): International Journal of Artificial Intelligence and Robotic Technology (IJAIRT
Publisher : International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec)

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Abstract

Banana is a fruit that is very easy to find anywhere and anytime, because of its nature that can bear fruit at any time without waiting for the season to come like other fruits , especially in tropical regions such as the country of Indonesia and because of the many types and kinds of this fruit, ranging from those the size of a little finger to those that are the size of an avocado, all taste very sweet. Bananas are also associated with the local culture, examples of certain types of bananas are usually used as ubo rampes from a certain traditional ceremony. The study was conducted to determine the quality of banana fruit seeds in Tanggamus Lampung which was carried out using the Simple Additive Weighting method is one of the weighted summation methods. The basic concept of the Simple Additive Weighting method is to look for weighted summations with performance ratings on each alternative on all attributes. This aims to facilitate the research process of the results of this study. The results of the study conducted were based on calculations above V1 (weight of banana mas) = 0.875%, V2 (weight of banana pupae) = 0.725%, and V3 (weight of banana horn) = 0.6%.
Decision Support System Selection Of Department At Telkom Vocational School, Lampung Using The Topsis Method Arjuna Primanada; Siti Mukodimah
International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec) Vol. 2 No. 2 (2022): International Journal of Artificial Intelligence and Robotic Technology (IJAIRT
Publisher : International Journal of Artificial Intelligence and Robotic Technology (IJAIRTec)

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Abstract

In this era of technology, information technology is developing rapidly. The problem raised this time is how to determine the majors that match the abilities of new students at SMK Telkom Lampung. Because in the activity of determining the majors at SMK Telkom Lampung. The school has not implemented a computerized system optimally because the majority of majors are still using a manual system. On this occasion the method that will be used to assist in the selection of majors at SMK Telkom Lampung is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The TOPSIS method is based on the concept that the best selected alternative not only has the shortest distance from the positive ideal solution, but also has the longest distance from the negative ideal solution. The TOPSIS method also has a simple and relatively easy-to-understand concept, is computationally efficient, and has the ability to measure the relative performance of each decision alternative in a simple mathematical form. In applying the selection of majors using the Decision Support System, it is hoped that it can really help facilitate and make the desired results in selecting majors more accurate, save time and get results faster. The decision support system for selecting majors at SMK Telkom Lampung can be further developed by creating a system where each test result that becomes a criterion is directly connected to the decision support system for selecting this major.