Ardaneswari, Awanda
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Analisis Perbandingan Sistem Pelaporan Kinerja Kementerian Dalam Negeri menggunakan Metode Usability Testing Ardaneswari, Awanda; Manongga, Daniel H.F; Sembiring, Irwan
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 1 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i1.29565

Abstract

Performance Evaluation System for Apparatus Positions (Sikerja) is a web-based application owned by the Ministry of Home Affairs (MoHA), used to assess and measure the performance of civil servants across all units within MoHA. Currently, MoHA uses two versions of the Sikerja application: the old Sikerja and the new Sikerja. The purpose of this study is to compare the usability levels between 2 systems using the usability testing method, focusing on the performance input menu. The study employs a quantitative descriptive approach using a survey method involving 100 respondents from the Directorate General of Regional Governance, with a questionnaire as the research instrument. The questionnaire items are derived from the five usability indicators based on Jacob Nielsen's framework. The results of the validity and reliability tests on the questionnaire confirmed that it is valid and reliable. Subsequently, a descriptive analysis was conducted for each usability indicator. The analysis results show that the learnability score of the old Sikerja system is 3.24 (high), efficiency is 2.18 (moderate), memorability is 2.98 (moderate), errors is 1.88 (low), and satisfaction is 3,17 (high). On the other hand, the new Sikerja system has a learnability score of 2,23 (moderate), efficiency of 2.07 (moderate), memorability of 1.02 (low), errors of 2.77 (moderate), and satisfaction of 2.54 (moderate). It can be concluded that the new Sikerja system requires workflow simplification, increased user training and socialization, and regular evaluation for employees. These recommendations are expected to improve the usability score of the new Sikerja system within the Ministry of Home Affairs.
Pemanfaatan Aplikasi Point of Sales Untuk Prediksi Stock Barang Dengan Metode Fuzzy Tsukamoto Ardaneswari, Awanda; Sediyono, Eko
Computatio : Journal of Computer Science and Information Systems Vol. 4 No. 1 (2020): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v4i1.8740

Abstract

Procurement of goods and completeness of goods becomes a matter that greatly determines therunning of the business process of a business. There needs to be an increase in goods management strategies so that no items accumulate in the warehouse or supply of existing goods cannot balance with demands of goods. The user of the Point of Sales application is an effort to improve management of goods and employees. Unfortunately the use of applications is not optimal makes the business stagnant. Furthermore, this study focuses on the utilization of report data from application Point of Sales (POS) to produce predictions of goods stock using the Fuzzy Tsukamoto method. It is expected that the results of this prediction will allow business owners to improve the quality of service from the procurement side of goods that have an impact on customer satisfaction and also reduce the level of business losses AbstrakPengadaan barang dan kelengkapan barang menjadi hal yang sangat menetukan berjalannya proses bisnis suatu usaha. Perlu adanya peningkatan strategi manajemen barang sehingga tidak ada barang yang menumpuk di gudang atau sebaliknya barang yang ada tidak dapat memenuhi permintaan pasar. Penggunaan aplikasi Point Of Sales menjadi salah satu upaya peningkatan manajemen barang serta karyawan. Sayangnya pemanfaatan aplikasi yang kurang maksimal membuat usaha menjadi stagnan. Lebih jauh, pada penelitian ini memfokuskan pada pemanfaatan data laporan dari aplikasi Point of Sales (POS) untuk menghasilkan prediksi stock barang dengan metode Fuzzy Tsukamoto. Hasil prediksi ini memungkinkan pemilik usaha untuk lebih meningkatkan kualitas pelayanan dari sisi pengadaan barang yang berdampak pada kepuasan pelanggan dan juga mengurangi tingkat kerugian usaha.