Design of A Decision Support System for Recipients of the Family Hope Program Assistance using the Topsis Method In Kambata Village, Bundung

Riswan Njurumana; Yustina Rada; Hawu Yogia Pradana Uly

doi:10.59934/jaiea.v4i2.927

Authors

Riswan Njurumana Universitas Kristen Wira Wacana Sumba
Yustina Rada Universitas Kristen Wira Wacana Sumba
Hawu Yogia Pradana Uly Universitas Kristen Wira Wacana Sumba

DOI:

https://doi.org/10.59934/jaiea.v4i2.927

Keywords:

Decision Support System, Family Hope Program, Information System, TOPSIS.

Abstract

Poverty is still a problem in Indonesia, and the Family Hope Program (PKH) is one of the government's efforts to overcome it. This program provides conditional cash assistance to poor families registered in the Integrated Social Welfare Data (DTKS). Although PKH has succeeded in reducing the poverty rate, there are problems in determining the target of aid recipients, namely not on target in distributing aid. This can result in untargeted assistance and trigger a sense of injustice. Kambata Bundung Village is one of the villages with 159 PKH recipients (83 males and 76 females). To overcome this problem of not being on target, this study aims to design a decision support system (SPK) using the TOPSIS method. The TOPSIS method was chosen because of its ability to solve multi-criteria problems by considering conflicting criteria. This SPK is expected to help PKH companions in this research is expected to help the village government in ensuring that PKH assistance is on target and beneficial for poor families who really need it.

The success rate of black box testing has worked according to the expected specifications with a 100% success rate. No errors or bugs were found in this test, so the system can be declared ready to use.

From the results of the black-box and SUS tests, the design of the decision support system for the recipients of the Family Hope Program using the TOPSIS method, it can be concluded that the system built has met the needs of the system, which can be seen in the results of the black-box test where all the menus made are successfully accessed. This decision support system not only meets technical needs, but also provides a good user experience, as reflected in the final SUS calculation score of 86.5 which is in the excellent category.

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