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Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

Implementasi Metode ANP Untuk Pemberian Bantuan Sosial Wulandari, Putri; Soelistijadi, R.; Lestariningsih, Endang
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.489

Abstract

Poverty is a condition of a person or group of people with limited assets and valuables. With these limitations, the community is unable to finance the necessities of a decent life. Standards for the needs of a person’s life worth include food and drink, clothing, a place to live or a house,work and so on. The selection of social assistance recipients is still done manually so that it will affect the outcome of the decision. So, it is necessary to create a system that helps the decision support process for social assistance recipient the ANP (Analytic Network Process) method. In ANP there are 7 (seven) stages, including : determining alternatives, determining criteria, determining alternative comparisons for each node in the criteria cluster, determining the comparison of criteria for each node in the alternative cluster, calculating the weighted supermatrix, calculating the unweighted supermatrix and supermatrix limit. The alternative refers to the name of the community that is the candidate for assistance and the criteria refers to a requirement for social assistace recipients in the Bumirejo sub-district. The first step is calculating ANP by inputting alternative data and criteria data and determining an alternative comparison table for nodes in each criterion cluster and vice versa, in order to produce an index and consistency ratio. The implementation of ANP determines an unweighted and weighted supermatrix with a limit supematrix so as to produce a rangking of decision support system for determining poverty ranking in the provision of social assistance with the lowest synthesis value of 0,11824021. so it can be concluded that this final result can be used as a benchmark for social assistance recipients based on predetermined criteria
Implementasi Metode AHP TOPSIS pada Pemilihan Santri Berprestasi Amanatulloh, Sahrul Adi; Soelistijadi, R.
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.485

Abstract

Islamic boarding schools are one of the traditional educational institutions that study Islamic values daily, the selection of student scholarships still uses manual so that it will affect the results of scholarship selection and data input still uses handwriting so that storing files for a long time is likely to be damaged due to exposure to water. or torn, it is necessary to create a system that helps the scholarship selection process using the AHP (Analytical Hierarchy Process) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods. In AHP there are 4 (four) stages, including: determining the criteria, determining the pairwise comparison table, calculating the criterion value matrix and the consistency ratio. The criteria used refer to the requirements for the selection of students at the al-Madani Islamic boarding school. AHP is used to calculate the weight of each criterion and TOPSIS for ranking, the first step is to calculate the AHP method by inputting criteria and determining pairwise comparison tables to produce weights between criteria. The TOPSIS implementation includes: alternative data, alternative assessments, weighted normalization, determining positive and negative ideal solutions, and calculating the distance of positive and negative ideal solutions so as to produce a ranking, a decision support system for selecting outstanding santri scholarships with the highest preference value, namely: 0.69123910870266 so that the results This can be a benchmark for scholarship recipients based on predetermined criteria.