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Riski Putri Ameliya
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SISTEM PENDUKUNG KEPUTUSAN PENYELEKSIAN PENERIMA BANTUAN RUMAH LAYAK HUNI MENGGUNAKAN METODE TECHNIQUE FOR OTHERS PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) DAN SIMPLE ADDITIVE WEIGHTING (SAW) Ferry Susanto; Riski Putri Ameliya; Novelia Hasmarani
JURNAL STMIK SURYA INTAN Vol. 8 No. 2 (2021): Jurnal Ilmiah Informatika & Komputer Surya Intan (JIIKSI)
Publisher : STMIK Surya Intan

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Abstract

In Kalibalangan Village, South Abung District, North Lampung Regency, in determining who deserves to receive housing assistance, proper data processing is needed so that it is hoped that residents who really need housing assistance can be achieved. Determining the population, which was previously done using this traditional method, needs to be made a Decision Support System (DSS) that is able to process data from criteria effectively so that it can produce accurate data. The purpose of this decision support system is to be able to determine which residents are truly considered eligible to receive housing assistance. The method used for this research is the Technique For Others Preference by Similarity to Ideal Solution (TOPSIS) and Simple Additive Weighting (SAW) methods. This method is used for the selection of livable housing beneficiaries. The results of the calculation using the sample method used were 15 people with a population of 55. From the sample for ranking results for the Technique For Others Preference by Similarity to Ideal Solution (TOPSIS) method, the highest score was Taridi with a value of 1 and the lowest value was Supardi with a score of 1 0.2159, and the results of the Simple Additive Weighting (SAW) ranking, the highest ranking value is Taridi with a value of 1.45 and the lowest value is Supardi with a value of 0.95. From the results of calculations using the Maen Square Error (MSE) method for the Technique For Others Reference by Similarity to Ideal Solution method with 31835.3 results and for the Simple Additive Weighting method with 31608.3 results. So that the result closest to 0 is the most optimal Simple Additive Weighting method to use.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN SISWA YANG BERHAK MENDAPATKAN PROGRAM INDONESIA PINTAR (PIP) Riski Putri Ameliya; Laksamana Bangsawan; Rista Fadilla Sari
JURNAL STMIK SURYA INTAN Vol. 10 No. 2 (2023): Jurnal Ilmiah Informatika & Komputer Surya Intan (JIIKSI)
Publisher : STMIK Surya Intan

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Smart Indonesia Program is assistance in the form of cash provided by the government to students who have difficulty paying tuition fees. As stated in Permendikbud 10 of 2020 concerning the Smart Indonesia Program, PIP funds can be used by students to meet all educational needs such as buying school supplies, transportation costs, pocket money to competency tests. The purpose of PIP itself is tohelp school-age children from underprivileged families to complete education, either through non-formal channels, namely Package A, Package C and special education. Through the PIP program, the government seeks to prevent students from dropping out of school with the PIP. The government also hopes to make students who drop out of school to be able to resume their education. Kotabumi is currently still using the manual method, which requires a high level of accuracy and a long time in comparing one by one the data of prospective recipients of the Smart Indonesia Program (PIP) and also has more value than a processed system. It can also manually generate data for students who are recipients of the Smart Indonesia Program (PIP) that are efficient and have high productivity. The purpose of building a Decision Support System (SPK) at SMPN 7 Kotabumi which is later expected to be able to help staff at SMPN 7 Kotabumi easily find students who are entitled to receive the Smart Indonesia Program (PIP). In connection with this, the authors take the development of the system to be used as research material with the title“Decision Support System for Determining Eligible Students for the Smart Indonesia Program Using Method Analytical Hieracy Process (AHP) and Simple Additive Weighting (SAW) to SMPN 7 Kotabumi”
Co-Authors Laksamana Bangsawan Novelia Hasmarani Rista Fadilla Sari Susanto, Ferry