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Mumtaz Muttakin
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PENINGKATAN AKURASI PREDIKSI PENGADAAN BAHAN BAKU PRODUKSI DENGAN MENGGUNAKAN METODE NEURAL NETWORK Mumtaz Muttakin; Sabar Hana DwiPutra
Jurnal informasi dan komputer Vol 10 No 1 (2022): Jurnal Sistem Informasi dan Komputer yang terbit pada tahun 2022 pada bulan 04 (
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v10i1.286

Abstract

Forecasting or prediction in production activities is an activity that aims to predict everything related to production, supply, demand, and use of technology in an industry. In the end, this prediction is often used by companies and operational management to make plans related to their business activities in certain periods. As a tool for measuring the level of predictions that are close to good accuracy which can be used as a reference for calculating a business process in the future, companies also need an accurate and tested measuring tool based on the type of estimate itself. The NEURAL NETWORK method with backpropagation calculates a pattern based on the history of several periods that have occurred. This method is often used to obtain prediction accuracy in forecasting activities. Inaccurate packaging stock inventory forecasting to support production needs causes the inventory space to exceed capacity and the production process is disrupted, so the selection of an appropriate forecasting method is needed. The use of the NEURAL NETWORK method with backpropagation to increase the accuracy of the prediction of the procurement of packaged goods in this study is very suitable. Results of Data Training with input data for begin stock, consumption, incoming, and safety stock and target data is the stock order yields the best MSE value of 0.03603642 on the number of neurons 11 with an epoch value of 1000 and a maximum error limit of 6, so that the test data resulted in the accuracy of the MAPE value of 0.52%.
ANALISIS PENGARUH KOMPENSASI, FASILITAS, LINGKUNGAN KERJA, BEBAN KERJA DAN KEPEMIMPINAN TERHADAP EMPLOYEE ENGAGEMENT MENGGUNAKAN SPSS Mumtaz Muttakin; Sabar Hanadwi Putra; Zaenal Mutaqin Subekti
Jurnal informasi dan komputer Vol 11 No 02 (2023): Jurnal Informasi dan Komputer yang terbit pada tahun 2023 pada bulan 10 (Oktobe
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v11i02.461

Abstract

This study is based on the writer's curiosity, "why there are employees who can survive and work until retirement and why there are new employees join and then resign in a short term?", Then the analysis of the curious followed by studied previous studies to be a reference in this study.The objective of this study is to determine whether the compensation, facilities, work environment, workload and leadership affect to Employee Engagement in the Company. This study is a quantitative descriptive research, the data obtained from the sample of population , then analyzed with the statistical methods and interpreted. The hypothesis test used 98 respondents who gave back the questionnaire for sample from 130 populations. The analytical technique used multiple linear regression with SPSS, and the research results said that there is significant effect of compensation (65%), facilities (68.1%), work environment (53.2%), work load (75%) and leadership (62.7%) partially, and simultaneously affecting 77.8% to Employee Engagement of the Company. The Company is expect to maintain Employee Engagement stability by paying attention to compensation, facilities, work environment, workload, and leadership that becomes the determinant variable of employee engage or not.
Co-Authors Sabar Hana DwiPutra Sabar Hanadwiputra Zaenal Mutaqin Subekti