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Journal : Journal of Applied Engineering and Technological Science (JAETS)

Lecturer Performance Decision Support System Using The TOPSIS Method Based on Web Suandi Daulay
Journal of Applied Engineering and Technological Science (JAETS) Vol. 2 No. 1 (2020): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (410.162 KB) | DOI: 10.37385/jaets.v2i1.181

Abstract

AMIK Mahaputra is one of the private computer colleges in the city of Pekanbaru. In increasing its resources, this university conducts performance appraisals of lecturers and employees. This performance assessment will form the basis of promotion. At present, the system in assessing its performance still has weaknesses, namely by improper lecturers or employees who occupy certain positions and positions. The purpose of this study is to later be able to make it easier to give a decision on the performance evaluation of lecturers and employees each year as part of the process of career development and promotion. The data obtained include the assessment of lecturers by students, the discipline of lecturers on giving lectures, the allocation of time by each lecturer and the method used is TOPSIS where this method is considered suitable for this research. and AMIK employees Mahaputra pekanbaru. Decision support system for evaluating the performance of lecturers and employees in promotion. Although the decision taken has been 74% but it has been recommended to assist the management of AMIK Mahaputra in making decisions.
Prediction of Material Requirements For Vocational Practices Using The Monte Carlo Method (Case Study at SMK Dwi Sejahtera Pekanbaru) Suandi Daulay; Rahmi Rahmi
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (797.35 KB) | DOI: 10.37385/jaets.v4i1.936

Abstract

Vocational High School (SMK), every practice always requires supporting materials. When the demand for these practice materials coincides between departments, so schools have difficulty in fulfilling them. The purpose of processing data on borrowing practice materials is to optimally meet the practical needs of the department. The data that is processed in this study is the data on demand for practice materials, data on practice needs and data on supply of practice materials. The data is processed using the Monte Carlo method with testing using PHP programming. The results of this study are predictions of the optimal practice material needs in the TKJ department and the materials that are needed and the amount of practice materials needed. 97% accurate. So that this research is very helpful in predicting the material needs of practice, this research is very helpful for the school in improfing services for student praticum.