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Journal : 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 Vol 1, No 3 (2021): IJAIRTec (International Journal of Artificial Intelligence and Robotic Technolog
Publisher : SRA Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijairtec.v1i3.36

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 FOR RECEIVING PKH ASSISTANCE USING THE SAW AND WP METHODS Husaeni Husaeni; Siti Mukodimah; Ferry Susanto
International Journal of Artificial Intelligence and Robotic Technology Vol 2, No 3 (2022): IJAIRTec (International Journal of Artificial Intelligence and Robotic Technolog
Publisher : SRA Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijairtec.v2i3.60

Abstract

Poverty in Indonesia is very concerning, therefore the government created an assistance program for poor families, namely PKH, to help determine in determining someone who is eligible to receive this assistance in Bagelen Village, a decision support system is needed because it can minimize the occurrence of errors in determining in selecting residents who wish to get PKH assistance, therefore the purpose of this research is to reduce the wrong target in making decisions in providing PKH assistance. Because there are still many decision-making errors in the provision of program assistance, Bagelen Village, Gedong Tatataan District, Pesawaran Regency, Lampung is one of the villages designated as beneficiary families whose components include school children, toddlers, pregnant women, the elderly, and those with severe disabilities. This program requires that Very Poor Households (RTSM) can follow the requirements set by the government in the program. The requirements are sending their children to education, as well as carrying out routine visits to health facilities for toddlers and pregnant women. From visits to several families receiving the PKH Program, families who receive this assistance can be said to meet the criteria desired by the Indonesian government. From PKH assistance recipients, valid data or definite data will be obtained and will soon be taken care of by the local village government. It is hoped that the data obtained can be used properly and correctly according to the needs of the families receiving PKH assistance. The author uses the SAW and WP methods to get or select which poor families are entitled to this assistance because the SAW and WP methods can calculate more easily, quickly, and precisely, can be calculated manually as well as computer systems, using these two methods require criteria for conducting an assessment, and the final result of the SAW and WP methods is to determine whether or not the PKH beneficiary is eligible or not based on the results of the calculations of the two methods