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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Journal of Industrial Engineering & Management Research (JIEMAR)
Kurniadi, Win
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Pendukung Keputusan Dalam Peramalan Penjualan Ayam Broiler Dengan Metode Trend Moment Dan Simple Moving Average Pada CV. Merdeka Adi Perkasa Kurniadi, Win
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 2, No 3 (2018): Juli 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v2i3.652

Abstract

Forecasting is the approximate level of demand for one or more products over the coming periods. In forecasting the level of demand for no excess and no less the amount of broiler chicken stock based on sales in the past. Decision supporters are investigated to predict the number of requests using trend moment method and simple moving average method and measure the level of accuracy predict by means of mean absolute percentage error. With both methods, the result of the research showed that trend moment method obtained the highest mean absolute percentage error of 4,08% and the lowest was 36.12% while the moving average method obtained the highest mean absolute percentage error of 3.25% and the lowest was 23.12%.
ADOPSI PENGGUNAAN APLIKASI MOBILE FOOD ORDERING DENGAN PENDEKATAN MODEL UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY 2 Widanengsih, Euis; Kurniadi, Win; Destiana, Henny
Journal of Industrial Engineering & Management Research Vol. 3 No. 1 (2022): February 2022
Publisher : AGUSPATI Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (724.384 KB) | DOI: 10.7777/jiemar.v3i1.260

Abstract

The COVID-19 pandemic has changed the social order of human life, public health, and also business operations. With the number of social restrictions that have occurred, changing the pattern of food shopping in the community, the home-based food business has become the consumer's main choice in buying healthy food in the midst of the COVID-19 Pandemic. Consumers tend to prefer ordering healthy food and ordering food online by utilizing Mobile Food Ordering Applications. The purpose of this study was to measure the behavior of users of the Mobile Food Ordering application using the UTAUT 2 model, the UTAUT model which has been developed with the addition of independent variables. The data used in this study is primary data. Primary data is data obtained directly in the field. The data collection technique in this research is a survey. The sampling method used the purposive sampling method with the criteria for users of the Mobile Food Ordering application, namely GoFood, GrabFood and ShoppeFood in the last month. A survey of 100 respondents was conducted during November 2021. The collected data was processed using the SEM method with the Partial Least Square (PLS) approach with SmartPLS 3.0 software. The results of this study indicate that Performance Expectancy (PE) has no significant effect on Behavioral Intentions (BI). Effort Expectance (EE) or business expectations of application use have a significant effect on Behavioral Intentions (BI). Social Influence (SI) or social influence has no significant effect on Behavioral Intentions (BI). Facilitating Condition (FC) is not significant to Behavioral Intentions (BI) and Use Behavior (UB). Hedonic Motivation (HM) is not significant to Behavioral Intentions (BI), Price Value (PV) or Cost Suitability is not significant to Behavioral Intentions (BI), Habit (HT) or consumer habits significantly affect Behavioral Intentions (BI) and Use Behavioral (UB) ), Behavioral Intentions (BI) have a significant effect on Behavioral Use (UB).
Co-Authors Euis Widanengsih, Euis Henny Destiana, Henny