Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Syntax: Journal of Software Engineering, Computer Science and Information Technology Jurnal Ilmu Komputer dan Sistem Informasi
Nurwafi, Muhammad
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Library & Information Science

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Penentuan Sistem Pendukung Keputusan Dalam Kinerja Pegawai Menggunakan Metode SAW Nurwafi, Muhammad
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 1 No. 1 (2022): Mei 2022
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v1i1.2

Abstract

The performance of employees who get bonuses is one of the conditions used for companies to support employee performance, evaluate work results, and motivate other employees to work hard. In addition to assessing the work of employees according to company standards, job evaluation in an organization or company is usually used as a benchmark for companies to issue bonuses to employees. The problem in this study is that excessive workloads on some employees result in stress which leads to poor performance. This research process uses aadecision supporttsystem toodetermineeand select the performance of employees who get bonuses, the SPK process through the criteria and weights used are attendance (25%), attitude/ethics (20%), time discipline (25%), creativity (15%), %), and work results (15%). This study aims to determine the performance of employees who are rewarded using the direct weighting (SAW) method for an employee performance decision support system. In this study, the data collection technique used was library research, observation. A decision support system to evaluate the performance of employees who have been rewarded.
APLIKASI ADMINISTRASI DI KANTOR CAMAT MEDAN AMPLAS DENGAN KLASIFIKASI PENGADUAN TEXTRANK DAN AGGLOMERATIVE CLUSTERING Nurwafi, Muhammad; Ikhwan, Ali Ikhwan; Nasution, Adnan Buyung
Syntax : Journal of Software Engineering, Computer Science and Information Technology Vol 6, No 1 (2025): Juni 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/syntax.v6i1.6292

Abstract

Penelitian ini bertujuan untuk menerapkan algoritma TextRank dan Agglomerative Clustering untuk melakukan klasifikasi pengaduan secara otomatis, merancang dan membangun aplikasi pelayanan administrasi web, dan melakukan pengaturan penjadwalan antrian pelayanan. Pengumpulan data penelitian dilaksanakan di Kantor Camat Medan Amplas dan pelaksanaan pengolahan data dilakukan di Universitas Islam Negeri Sumatera Utara. Hasil dari penelitian  menunjukkan bahwa Aplikasi Pelayanan Administrasi di Kantor Camat Medan Amplas dengan Klasifikasi Pengaduan menggunakan Algoritma TextRank dan Agglomerative Clustering ini dapat diakses oleh admin, staf dan pelapor, dimana pelapor dapat memberikan laporan pengaduan yang dapat dicek oleh staf, sehingga sistem laporan pengaduan dapat berfungsi dengan baik dan algoritma TextRank dan Agglomerative Clustering dapat digunakan untuk menentukan jenis dari laporan pengaduan yang dimasukkan oleh staf
Co-Authors Ikhwan, Ali Ikhwan Nasution, Adnan Buyung