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Setyo Darmawan, Endras
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Computer Science & IT Economics, Econometrics & Finance Engineering Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences

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Forecasting the Number of Jogja-Solo KRL Passengers with the Gray Method (1,1), Moving Average and Exponential Smoothing Priyanto, Sapto; Churniawan, Erifendi; Setyo Oktaria, Dhina; Setyo Darmawan, Endras
Journal of World Science Vol. 2 No. 1 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i1.130

Abstract

The development of the Jogja Solo railway transportation, one of which is the electrification of the railway line. This electrification will increase the capacity of the number of passengers because it can cut travel time so that there will be more and more trips. The government's plan to extend the electrification of the KRL line to Kulonprogo and Madiun is an opportunity for growth in the number of Jogja Solo KRL passengers. This study aims to find the best forecasting model for the number of KRL Jogja Solo passengers among short-term forecasting models. The forecasting method used is the Gray Method (1.1), Moving Average and Exponential Smoothing. Furthermore, based on the forecasting results of each method, the error rate will be sought based on the MAPE, MAD and MSD values. The error prediction value among the three selected methods, namely Gray (1,1), second-order moving average and single exponential smoothing, the results obtained from the single exponential smoothing method have the slightest error value compared to the others. So, this method is the best method chosen to predict the number of Jogja Solo KRL passengers. The single exponential smoothing method is the best forecasting method because it has the mirror value, namely MAPE of 51, MAD of 50,308 and MSD of 3,891,632,651. The prediction results for the 14th-period passengers obtained a result of 202,067 people. The prediction results for the 14th-period passengers obtained a result of 202,067 people.
The Relationship Between Work Stress and Locomotive Maintenance Officer Performance Setyo Darmawan, Endras; Churniawan, Erifendi; Ayudha Arkadanita, Denta
Journal of World Science Vol. 2 No. 1 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i1.210

Abstract

Limited human resources and time demands can increase workload resulting in faster work stress. If handled over time, it will have an impact on the performance of officers and can also increase work stress. Therefore, this study aims to determine the relationship between work stress and the performance of locomotive maintenance workers at the Purwokerto Locomotive Depot. This study uses a type of quantitative research. Data collection methods used in this research are primary and secondary data sources. The data analysis technique used is the instrument test, Spearman rank correlation and Spearman rank hypothesis test. Calculate the rho count on the work stress variable with a performance showing a value of 0.479, while for the comparison results, the value of the rho table shows several 0.439. In the hypothesis decision-making criteria that rho count > rho table 0.479 > 0.439, there is a relationship between work stress and employee performance which can also be seen from sig. (2-tailed) of 0.028. Based on retrieval, if the sig. (2-tailed) 0.028 <0.05 means that there is a significant relationship between work stress and performance variables. Spearman's rank hypothesis test found a relationship with a correlation value of -0.479, meaning that the relationship is vital in the moderate category. The direction of the relationship from this study is harmful or not unidirectional. And the rho count is greater than the rho table, which is 0.479, which is greater than 0.439, so the hypothesis shows a relationship between work stress and employee performance.
Co-Authors Ayudha Arkadanita, Denta Churniawan, Erifendi Priyanto, Sapto Setyo Oktaria, Dhina