IMPLEMENTASI METODE FUZZY – ANALYTIC HIERARCHY (F-AHP) PADA SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN PROGRAM KELUARGA HARAPAN (PKH)

IMPLEMENTATION OF THE FUZZY – ANALYTIC HIERARCHY (F-AHP) METHOD IN THE DECISION SUPPORT SYSTEM FOR AID RECIPIENTS OF THE FAMILY HOPE PROGRAM (PKH)

PKH atau Program Keluarga Harapan yang telah dikenalkan pemerintah sejak tahun 2007 yang bertujuan untuk menanggulangi kemiskinan Indonesia. Dengan fasilitas yang dapat diakses yaitu fasdik, faskes, fasilitas untuk ibu hamil dan lansia yang tentunya diikuti kriteria yang harus dipenuhi oleh masyarakat. Sesuai dengan Pedoman Pelaksanaan tahun 2016, calon penerima bantuan harus memenuhi syarat yang telah ditentukan. Syarat tersebut akan dijadikan acuan dalam menentukan dan menyeleksi calon penerima bantuan agar dapat tersampaikan tepat sasaran. Data yang akan diidentifikasi oleh petugas PKH berasal dari Data Terpadu Kesejahteraan Sosial (DTKS). Dengan kemajuan teknologi dan fasilitas yang tersedia di Kelurahan Simomulyo, masih ada sedikit kendala yaitu dalam hal pendataan. Yang mana proses pendataan masih dilakukan secara manual, hal tersebut menyebabkan proses penginputan oleh perangkat Kelurahan cenderung lama. Diusulkannya Sistem Pendukung Keputusan (SPK) ini, diharapkan dapat menjadi solusi agar hasil seleksi tepat sasaran dan proses pendataan cepat terselesaikan. Dalam proses pengembangan Sistem, penelitian ini dilakukan dengan menggunakan Metode Fuzzy-Analytic Hierarchy Process (F-AHP) dengan sumber teori data calon penerima bantuan sosial. Terdapat 3 elemen dalam metode F-AHP yaitu, tujuan, kriteria dan calon penerima bantuan yang membantu peneliti dalam perhitungan dan mendapatkan hasil dalam penelitian ini. Diketahui bahwa metode F-AHP memiliki tingkat akurasi sebesar

98%. Berdasarkan wawancara dengan pendamping PKH, diperlukan perhitungan untuk menentukan bobot calon penerima bantuan sosial menggunakan metode F-AHP.

Kata Kunci: Fuzzy, Analytic Hierarchy Process (AHP), Sistem Pendukung Keputusan, Program Keluarga Harapan (PKH)

PKH or the Family Hope Program has been introduced by the government since 2007 which aims to overcome poverty in Indonesia. With accessible facilities, namely educational facilities, health facilities, facilities for pregnant women and the elderly, which of course follow criteria that must be met by the community. In accordance with the 2016 Implementation Guidelines, prospective aid recipients must meet specified requirements. These requirements will be used as a reference in determining and selecting potential recipients of aid so that it can be delivered on target. The data that will be identified by PKH officers comes from Integrated Social Welfare Data (DTKS). With advances in technology and facilities available in Simomulyo Village, there are still a few obstacles, namely in terms of data collection. Where the data collection process is still done manually, this causes the input process by Village officials to tend to take a long time. It is hoped that the proposed Decision Support System (DSS) can be a solution so that the selection results are right on target and the data collection process can be completed quickly. In the system development process, this research was carried out using the Fuzzy-Analytic Hierarchy Process (F-AHP) method with theoretical data sources for potential social assistance recipients. There are 3 elements in the F-AHP method, namely, objectives, criteria and potential recipients of assistance which help researchers in calculating and obtaining results in this research. It is known that the F-AHP method has an accuracy rate of 95.41%. Based on interviews with PKH assistants, calculations are needed to determine the weight of potential social assistance recipients using the F-AHP method.

Keywords: Fuzzy, Analytic Hierarchy Process (AHP), Decision Support System, Family Hope Program (PKH)