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IMPLEMENTASI ALGORITMA AHP UNTUK MENENTUKAN PRIORITAS INFRASTRUKTUR JALAN Rahmat Hidayat; Muhammad Iqbal J; Muhammad Renaldi A; Rehaeni Atipah; Falentino Sembiring
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 1 (2020): Peran Digital Society dalam Pemulihan Pasca Pandemi
Publisher : Jurusan Teknik Informatika

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Abstract

AbstractOver time, the roads will inevitably suffer damage. Roads as a means of supporting the economy do not receive proper maintenance and repair. One of the problems is the limited budget and the inaccurate allocation of funds for priority road repairs. To solve the problem of road repairs, a system is needed to determine the priority order of the repaired roads first, thus optimizing the limited budget. The limited budget of funds from village infrastructure means that village officials must record which ones should be prioritized. In the village of Cilangkap, the village level records and reports on road repair problems or infrastructure are still using manual paper, making it vulnerable to document loss and budget misuse practices, so the author wants to create a system that can overcome these problems in the form of AHP Algorithm implementation to determine road infrastructure priorities in Cilangkap village. The method used is Analytic Hierarchy Process (AHP). The results of this enelitianis to create a website to calculate the value of alternatives such as road repair proposal based on the criteria that have been set, so it can be used as a basis for decision-making to determine the priority road improvements. Based on the calculation of the criteria and alternatives for the first road section of Cicenga-Ciburih 0.158980253, second Cigandok-Lengasar 0.153384629, third Cijeruk-Panyindangan 0.141288856, and finally Cijablog-Lengsar 0.108639971Keywords : Infrastructure, Road Repair, Analytic Hierarchy Process, AHP, PrioritySeiring berjalannya waktu, jalan pasti akan mengalami kerusakan. Jalan sebagai salah satu sarana penopang perekonomian kurang mendapatkan perawatan dan perbaikan yang tepat. Salah satu masalahnya yaitu keterbatasan anggaran dan kurang tepatnya pengalokasian dana untuk prioritas perbaikan jalan. Untuk mengatasi masalah perbaikan jalan, dibutuhkan sistem yang menentukan urutan prioritas jalan yang diperbaiki terlebih dahulu, sehingga mengoptimalkan anggaran yang terbatas. Anggaran dana dari sarana prasarana desa yang terbatas membuat perangkat desa harus mendata mana yang harus diprioritaskan. Pada desa Cilangkap perngkat desa mendata dan melaporkan masalah perbaikan jalan ataupun infrastruktur masih menggunakan kertas manual, sehingga rentan terhadap kehilangan dokumen dan praktik penyalahgunaan anggaran sehingga penulis ingin membuat sebuah system yang dapat mengatasi masalah tersebut berupa Implementasi Algoritma AHP untuk menentukan prioritas infrastruktur jalan di desa cilangkap. Metode yang digunakan adalah Analytic Hierarchy Process (AHP). Hasil dari penelitian ini adalah membuat sebuah website untuk menghitung nilai perangkingan dari alternatif-alternatif berupa usulan perbaikan jalan berdasarkan kriteria - kriteria yang telah ditetapkan, sehingga dapat digunakan sebagai dasar dalam pengambilan keputusan untuk menentukan prioritas perbaikan jalan. Berdasarkan hasil perhitungan kriteria dan alternatif ruas jalan pertama Cicenga-Ciburih 0,158980253, kedua Cigandok-Lengasar 0,153384629, ketiga Cijeruk-Panyindangan 0,141288856, dan terakhir Cijablog-Lengsar 0,108639971.Kata Kunci : Infrastruktur, Perbaikan Jalan, Analytic Hierarchy Process, AHP, Prioritas 
Application of the K-Nearest Neighbor Method in Determining Web-Based Early Childhood Development Rahmat Hidayat
Journal of Computer Engineering, Electronics and Information Technology Vol 2, No 2 (2023): COELITE: Volume 2, Issue 2, 2023
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/coelite.v2i2.56919

Abstract

Childhood is a period of rapid growth and development, so it is often termed as the golden period as well as the critical period. The golden period can be realized if at this time infants and children obtain suitable nutritional intake for optimal growth of flowers. But during this time Posyandu process is still done manually, so in providing the nutritional status information children must wait long. System that is able to assist in solving the problem is the Decision Support System (SPK) with the method K-Nearest Neighbor (KNN) that can produce information on the nutritional status of children that is the status of poor nutrition obtained from the calculation of weight /Age, very short status is obtained from the calculation of height/age, and very skinny status obtained from calculation of weight/height. And hopefully this system can be used in Posyandu to monitor the growth of children so that children with less nutritional status and poor nutrition get better and faster handling. The design of this decision support system uses a Web-based system with PHP programming language and a MySQL database for the web to be easily accessed.