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Aditya Pratama
STMIK Borneo Internasional, Balikpapan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Analisis Kepuasan Aplikasi Anjungan Pasien AWS Berbasis Website Menggunakan Metode WEBQUAL 4.0 Usman Usman; Joy Nashar Utama Jaya; Aditya Pratama
JURIKOM (Jurnal Riset Komputer) Vol 9, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i2.4063

Abstract

The use of the Website-based AWS Patient Pavilion application that has been implemented by Abdul Wahab Syahrani Hospital in providing services is one example or form of information technology advancement. To find out the quality of a Website-based application that has been implemented by the hospital, it is necessary to take measurements. By measuring the quality of the AWS Patient Pavilion Website, it is possible to know the level of satisfaction based on the perception of the end user.In this research, the researcher uses the WebQual method which has been modified by adding user satisfaction variables with three main dimensions of WebQual 4.0, namely Usability, Information, Service Interaction. This research was conducted at Abdul Wahab Syahrani Hospital. Data was collected by using questionnaires. The population of this study were patients who were in a halfway house as users of the AWS Patient Pavilion Website. The results of this research are suggestions for website development
Efektivitas Sistem Informasi Kesejahteraan Sosial Next Generation di Kelurahan Gunung Seteleng Menggunakan Framework TAM Fatma Wati; Joy Nashar Utamajaya; Aditya Pratama
JURIKOM (Jurnal Riset Komputer) Vol 9, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i2.4057

Abstract

The Next Generation Social Welfare Information System (SIKS-NG) is a management application for the process of improving and proposing a new Integrated Database (BDT) in which there is also a module for improving and proposing non-PKH Food Social Assistance (BSP) data in the Gunung Seteleng village.This study aims to measure the effectiveness of the SIKS-NG information system in the Gunung Seteleng village whether the use of the information system has been running effectively or not. The research model used is the Technology Acceptance Model (TAM) with 4 constructs.From the measurement results, it is found that the PEOU variable (ease of use) with a percentage value of 68.33% is included in the Effective category, the PU variable (perception of usability) with a percentage value of 67.74% is included in the Effective category, the ATU variable (use attitude) with a value of 67.74%. the percentage of 66.81% is included in the effective category, and the ACC variable (use satisfaction) with a percentage value of 68.22% is included in the effective category, so it can be concluded that the overall research results of each variable measuring the effectiveness of the SIKS-NG information system in the Gunung Seteleng village are in the Effective category
Penerapan Data Mining Pada Penjualan Produk Digital Konter Leppangeng Cell Menggunakan Metode K-Means Clustering Nur Astuti; Joy Nashar Utamajaya; Aditya Pratama
JURIKOM (Jurnal Riset Komputer) Vol 9, No 3 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i3.4351

Abstract

The Leppangeng Cell counter is a counter that sells digital products in the form of Credit, Data Packages, PLN Electricity Tokens, Electricity Payments, BPJS Payments, PDAM Payments. Spidy or Indihome Payments, Home Phone Payments, Postpaid Payments, Game Voucher Sales, Cable TV Payments, Credit Installment Payments, Train Ticket Payments, PGN/Gas Payments, Shope Payments and Cash Transfer Services and Top Up. However, from the counter sales, of course, not all of them sell well, there are also products that don't sell. Sales data, purchases and unexpected expenses at the Leppangeng Cell Counter are not well structured, so the data only serves as a store archive and cannot be used to develop marketing strategies. Therefore, it is necessary to apply data mining using K-Means at the Leppangeng Cell Counter. The K-Means method can be applied to the Leppangeng Cell Counter to determine sales of digital products that are selling well and not selling well. The application of the K-Means method at the Leppangeng Cell Counter is by grouping digital product stock data. Then select 3 random grub as initial centroid. After the data for each group does not change, the results of data processing are obtained in the form of 114  products that sell, 5 underperforming, and 14 not sold. Then, the application of the K-Means method to Rapidminer is carried out by entering the initial product stock, the sold stock and the final stock to be changed and form K-Means. After that, Rapidminer will produce which products have high and low demand
Co-Authors Fatma Wati Joy Nashar Utama Jaya Joy Nashar Utamajaya Nur Astuti Usman Usman