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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

Metode Analytical Hierarchy Process Dalam Menentukan Pemilihan Desa Terbaik Tri Rahayu; Erly Krisnanik; Bayu Hananto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 1 (2019): April 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i1.769

Abstract

The purpose of this study is to make decisions using the Analytical Hierarchy Prosess (AHP) method in determining the best village. Criteria for determining the best village; namely Community Economy, Public Health, Education, Security and Order and Community Institutions. The results of the calculations using the AHP method in the paired criteria comparison matrix, calculate the eigenvalue until the consistency test. The results of the calculation criteria obtained are: Public Health (45%), Community Economy (24%), Education (16%), Security and Order (9%) and Community Institutions (6%). So that the highest criteria obtained are public health and the lowest, namely community institutions
Aplikasi Location Based Services (LBS) untuk Pendataan Potensi Daerah dengan Pendekatan Customer Relationship Management (CRM) Bayu Hananto; Ridwan Raafiudin; Tri Rahayu
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 1 No 3 (2017): Desember 2017
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v1i3.82

Abstract

The purpose of this research is to build an application prototype for potential area data collection by using Location Based Service (LBS). In the prototype building stage of this application, use the method of Customer Relationship Management (CRM). This CRM method is for the benefit of a particular problem. The results obtained from this study are averaged average reliability (Reliability) with a value of 3.62, and category Usability category (Usability) with an average of 3.51. The model of this application will help local governments, to note the potential of their area.