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All Journal Journal of Information System Informatik : Jurnal Ilmu Komputer
Ermatita Ermatita
Universitas Pembangunan Nasional Veteran Jakarta
Computer Science & IT

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Analisis Pemilihan E-Wallet Bagi Mahasiswa Dengan Penerapan Metode Analytical Hierarchy Process (Studi Kasus: Universitas Pembangunan Nasional Veteran Jakarta) Alyssa Fathiyah; Ermatita Ermatita; Rudhy Ho Purabaya
JOINS (Journal of Information System) Vol 9 No 2 (2024): Edisi November 2024
Publisher : Fakultas Ilmu Komputer, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/joins.v9i2.7093

Abstract

Students as the easiest element of society to transition digitally using electronic wallets to pay for daily needs, coupled with the promos provided by electronic wallet companies clearly adds to the appeal of this. Of the many electronic wallets, this study will discuss which electronic wallet is the most ideal choice for students, namely OVO, Gopay, DANA by analyzing the criteria based on interface design, reliability, responsiveness, trust, and privacy and security. This research was conducted using the Analytical Hierarchy Process method and the research respondents were students of the Jakarta Veterans National Development University. Based on the results of the analysis, it is concluded that the criteria with the highest priority are security and privacy with a weight of 0.482877, then trust of 0.229895, responsiveness of 0.133409, reliability of 0.099123, and finally interface design of 0.054696, and it is also concluded that the best alternative electronic wallet used by UPNVJ students are Gopay with the highest priority weight (0.3650819544), followed by DANA with the second highest priority weight (0.3409298301), and ended by OVO with the lowest priority weight (0.2939882129).
Penggunaan K-Nearest Neighbor (KNN) untuk Mengklasifikasi Citra Belimbing Berdasarkan Fitur Warna Duwen Imantata Muhammad; Ermatita Ermatita; Noor Falih
Informatik : Jurnal Ilmu Komputer Vol 17 No 1 (2021): April 2021
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52958/iftk.v17i1.2132

Abstract

Masih banyak yang belum mengetahui pasti tingkat kematangan buah. Akibatnya penjual maupun pembeli menjadi sulit untuk memperkirakan tingkat kematangan buah tersebut, khusunya buah belimbing. Berawal dari masalah tersebut dibutuhkan suatu sistem yang dapat membedakan tingkat kematangan dari buah. Berdasarkan hal tersebut tujuan penelitian ini dilakukan guna mengidentifikasi tingkat kematangan buah belimbing berdasarkan citra dengan algoritma K-Nearest Neighbor dan ekstraksi ciri Hue saturation Value (HSV) dengan menggunakan program Matlab guna membantu proses pengolahan citra digital. Dengan menggunakan algoritma KNN didapatkan akurasi sebesar 93.33% pada percobaan dengan menggunakan nilai K=7.
Co-Authors Alyssa Fathiyah Duwen Imantata Muhammad Noor Falih Rudhy Ho Purabaya