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Journal : Building of Informatics, Technology and Science

Implementation of the SAW Method in the Decision Support System for Giving Rewards for Honorary Employees Fikri Akbar Sitompul; Fauriatun Helmiah; Rohminatin Rohminatin
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2049

Abstract

Giving rewards to employees is one way to increase morale and improve performance for employees who excel. At the District Financial and Asset Management Agency. Asahan in choosing the best employees, the workload cannot be used as the only reference for the awarding of these rewards. However, there are several criteria that are also considered in giving rewards. So we need a decision support system to help the selection of the best employees. Temporary employees who are in government agencies have a percentage of 10% of the total number of registered employees. Every year, honorary employees renew their contract letters to continue their work. This is the basis for giving rewards or bonuses so that honorary employees are motivated to work and give the best results in carrying out and assisting civil servants in the government environment. The process of giving this reward was previously carried out manually, which is based on only one criterion, namely only from attendance. This makes it difficult to make decisions about the best honorary employees who are entitled to receive rewards. This consideration process is considered ineffective due to the different workloads of each honorary employee. To overcome the existing problems, we need a system in the form of a decision support system. It is hoped that this research will be able to determine the three best employees who are entitled to rewards in accordance with the performance criteria by calculating each weight of the criteria that have been set.
Penerapan Metode Trend Moment Untuk Prediksi Permintaan Telur Ayam Putri Wulandari; Fauriatun Helmiah; Rohminatin Rohminatin
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2057

Abstract

CV. Bintang Ternak Hessa Air Genting is one of the livestock companies engaged in the distribution and warehouse of chicken egg products, which is located in Hessa Air Genting Village, Asahan Regency. Based on the results of research and interviews conducted by researchers at CV. Bintang Ternak Hessa Air Genting, a problem that often occurs in the company is that there is often a shortage or accumulation of chicken egg products to be marketed, not in accordance with the number of requests from consumers. The purpose of this study is to apply the Trend Moment method to predict the number of Chicken Egg Demand in CV. Cattle Star Hessa Air Genting in the next few months based on the type of egg, namely A+, A, B, C, D, and E
Implementation of Trend Moment Method in Forecasting Regional Income Sutrisman Sutrisman; Havid Syafwan; Rohminatin Rohminatin
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2090

Abstract

In order to carry out the functions and authorities of local governments in the form of implementing fiscal authority, regions must be able to recognize potential and identify the resources they have. Forecasting is an art and science in predicting future events. The Regional Financial and Asset Management Agency (BPKAD) of Asahan Regency does not yet know the Regional Revenue in the upcoming period & is not yet available a system that can calculate Regional Revenue for the upcoming period. The main purpose of this research is to know the prediction of Regional Income in the following year. The system created helps in determining Regional Revenue in 2022, with data used from 2011 – 2021. The Trend Moment method is a method that uses certain statistical and mathematical calculation methods to find out the function of a straight line instead of a broken line formed by the company's historical data. In choosing the forecast method, accuracy is needed to minimize errors in forecasting (forecast error), the goal is that the forecast can approach reality. Based on the results of system testing, this Regional Revenue Forecasting predicts regional revenue in 2022, which is IDR 136,847,395,228.82 and the result of the percentage of errors (MAPE) Mean Absolute Percentage Error of 0.12%.