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All Journal Techno.Com: Jurnal Teknologi Informasi JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Alfiarini Alfiarini
STMIK Bina Nusantara Jaya
Computer Science & IT Engineering

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Penerapan Metode Multi Attribute Utility Theory Untuk Menganalisa Pemberian Bantuan Raskin Alfiarini Alfiarini; Yogi Primadasa
Techno.Com Vol 19, No 1 (2020): Februari 2020
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (400.353 KB) | DOI: 10.33633/tc.v19i1.3136

Abstract

Program beras miskin (Raskin) merupakan subsidi pangan yang diperuntukkan bagi keluarga miskin sebagai upaya dari pemerintah untuk meningkatkan ketahanan pangan dan memberikan perlindungan pada keluarga miskin. Penyaluran dan Pelaksanaan RASKIN bertujuan untuk memperkuat ketahanan pangan rumah tangga terutama rumah tangga miskin. Kelurahan Dempo Kecamatan Lubuklinggau Timur II Kota Lubuklinggau, mendapatkan kewajiban dan bertugas untuk menyalurkan beras rumah tangga miskin (Raskin) kepada masyarakat. Dengan melakukan observasi langsung, dalam upaya penyaluran raskin di Kelurahan Dempo mengalami beberapa kendala, seperti seleksi penerimaan bantuan raskin dilakukan dengan cara langsung memberi bantuan raskin kepada RTS ( Rumah Tanggan Sasaran) yang mana penulis anggap kurang tepat. Selain itu juga dalam penentuan kriteria yang masih di lihat dari beberapa aspek yang peneliti anggap masih kurang tepat sasaran.  Dengan mengkaji ulang dalam penentuan kriteria penerimaan kelayakan raskin Setelah di dapatkan kriteria empat kriteria yang valid,  dan dengan menggunakan 20 kepala keluarga sebagai simulasi penulis melakukan analisa sistem pendukung keputusan menggunakan metode Multi Attirbute Unility Theory (MAUT).  Dari hasil perhitungan nilai evaluasi, sepuluh kepala keluarga dengan nilai tertinggi adalah  yang berhak menerima bantuan raskin
Rekrutmen Petugas Pendataan Registrasi Sosial Ekonomi Dengan Metode Multi Factor Evaluation Process Deni Apriadi; Alfiarini Alfiarini
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 4 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i4.3672

Abstract

In 2022, the Central Statistics Agency (BPS) will carry out data collection activities for Socio-Economic Registration, where data collection for the entire population of Indonesia consists of profiles, social conditions, economy and welfare levels. This activity is one of the government's efforts to build a single population database. The implementation of good census activities can be used by the government in making policies in development. One of the successes in Regsosek activities is determined by the methods used in recruitment. To support the recruitment process for Regsosek officers, a computerized system is needed. Decision Support System is one of the systems that can be used to recruit Regsosek Officers. With the decision support system, the criteria that have been determined by BPS can be processed properly so as to produce best decision that suit the needs. There are many methods that can be used in a Decision Support System, one of which is the MFEP method. This method in its assessment can be done objectively and intuitively for factors that are considered important. In the Multi Factor Evaluation Process (MFEP) method, each criterion is given a weight according to the level of importance. In this study the criteria used were administrative selection, pretest, interview, education, age and health. With a decision support system that uses the MFEP method, it can help BPS produce decision solutions in selecting the best Regsosek officers based on predetermined criteria.
Co-Authors Deni Apriadi Yogi Primadasa