Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Bangkit Indonesia Media Elektrik
Hendi Setiawan
Sekolah Tinggi Teknologi Indonesia Tanjung Pinang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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

Found 2 Documents
Search

 1 
INVENTORY PREDICTION SYSTEM USING THE LEAST SQUARE METHOD AT THE SERBA SERBI ONLINE SHOP TANJUNGPINANG Hendi Setiawan; Nanny Raras Setyoningrum; Danandjaya Saputra; Merry Merry
Jurnal Media Elektrik Vol. 21 No. 1 (2023): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v21i1.1284

Abstract

In this era of Industry 4.0, technology is advancing rapidly, and various applications are emerging to help traders optimize their product procurement. One such application is the forecasting or prediction system. Serba Serbi Online Shop Tanjungpinang is a shop that requires this system to manage its inventory successfully. As the shop offers a wide variety of goods, managing inventory has become challenging. The capital spent on inventory has increased, and unsold goods are piling up in the warehouse. To overcome this issue, the shop needs to calculate the amount of inventory required to reduce the stock build-up in the warehouse. The prediction method used for this purpose is the least square method. This method uses periodic or time-series data, which requires past sales data to predict future sales. Historical sales data is necessary to develop an inventory prediction system. The sales data for a single item from July 2022 to May 2023 was analyzed using the Least Square method. Based on this analysis, the predicted sales for June is 144.64, rounded to 145. The accuracy of the prediction results were tested, and the best accuracy was obtained from the prediction using 3 months of data, with an error rate of 5.47%. The prediction with the highest error rate was obtained from using 9 months of data, with an error rate of 10.65%. On average, the prediction accuracy is 0.02154%, which is considered very good.
Analisis Kualitas Website Sistem Informasi Ujian Akhir Semester (SIUAS) Menggunakan Metode Webqual 4.0 dan Importance Performance Analysis (IPA) (Studi Kasus : Sekolah Tinggi Teknologi Indonesia Tanjungpinang) Nanny Raras Setyoningrum; Danandjaya Saputra; Hendi Setiawan; Lisken Sirait; Jeslie
Jurnal Bangkit Indonesia Vol 14 No 2 (2025): Bulan Oktober 2025
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v14i2.461

Abstract

This Internet users are experiencing rapid growth. An important role in the activities and business processes of an organization is supported by Information Technology (IT), namely through the internet. The website is one of the uses of the internet. This research was conducted on the website of the End of Semester Examination Information System (SIUAS) at the Indonesian College of Technology Tanjungpinang. The purpose of this study is to determine the quality of the SIUAS website where previously no analysis and measurement had been carried out in assessing the quality of the SIUAS website. The methods used in this study are the Webqual 4.0 method and Importance Performance Analysis (IPA). The number of respondents was 89 SIUAS users including lecturers and students for the 2018-2021 academic year. The variables used in this study derived from the Webqual 4.0 method are Usability, Information Quality, and Service Interaction Quality on the SIUAS website with 22 attribute items. The results obtained from the website quality analysis have a suitability level of 93.7% which respondents feel is still not in line with expectations. The gap level is obtained on average -0.26 where the results of website performance have not matched the expectations of users. The results of the quadrant analysis on tatribut which are the top priority obtained 2 attributes, namely the KI6 SIUAS Website provides information with the right level of detail and the KL2 SIUAS Website provides a sense of security when conducting the exam.
Co-Authors Danandjaya Saputra Jeslie Lisken Sirait Merry Merry Nanny Raras Setyoningrum