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Journal : International Journal Engineering and Applied Technology (IJEAT)

Decision Support System For New Employee Recruitment In PT. Prosweal Indomax Using The Simple Additive Weighting Anti Aprianti; Yayatillah Rubiati; Muhamad Renaldi Aripin; Cecep Warman; Dudih Gustian
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 3 No. 1 (2020): International Journal of Engineering and Applied Technology (IJEAT)
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (865.115 KB) | DOI: 10.52005/ijeat.v3i1.39

Abstract

The eligibility for hiring new employees based on certain criteria that the company expects is something that is very rarely obtained. The acceptance process may result in inaccurate and productive decisions due to inefficient admission processes. There are several criteria in making decisions about the recruitment of new employees at PT. Prosweal Indomax, which is based on latest education, expertise, age and work experience. Purpose made This system is able to help make decisions to determine the optimal recruitment process using the method Simple Additive Weighting (SAW). This method was chosen because this method determines the weight value for each attribute, then is followed by a ranking process that will select the best alternative. The research was conducted by finding the weighted value for each criterion, and then creating a ranking process that would determine which alternative was the best applicant.
PRIORITY PROGRAM SELECTION OF VILLAGE FUND USING THE K-MEANS METHOD Ati Sulastri; Siti Khalifah; Dhea Lestari; Dudih Gustian; Muhamad Muslih; Kirishchieva Irina Rafaelevna
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 3 No. 2 (2020): International Journal of Engineering and Applied Technology (IJEAT)
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1118.891 KB) | DOI: 10.52005/ijeat.v3i2.61

Abstract

The allocation of funds is certainly a big village also demands a big responsibility for the village government. In managing public funds, a public sector organization is required to be able to provide accountable financial reports. To achieve the effectiveness of village financial management, a decision support system is needed to assist village officials in determining which village programs will be prioritized. This research focuses on village programs that use village fund allocations. The purpose of this study is to create a decision support system todetermine priority village fund programs using a web-based kmeans clustering algorithm. The k-means clustering algorithm can perform the modeling process without supervision (unsupervised) and is one of the methods that performs data grouping using the partition system. This is in accordance with the desired end result in the form of grouping the village work program into 3 priority levels, where the village road repair program is included in the high-level priority program in cluster 1, the BUMDES program is included in the medium level priority in cluster 2 and the program for the construction of a reservoir for incoming rainwater. in low priority cluster 3. This research was conducted by considering the aspects of urgency and usefulness developed using the programming language PHP version 5 and MySQL database version 3.2.1.
MACRO VBA-BASED MAIL SERVICE ADMINISTRATION INFORMATION SYSTEM IN VILLAGES AND SATISFACTION ANALYSIS USING NAÏVE BAYES CLASIFICATION Dudih Gustian; A. Oktian Permana; Sihabudin; Lucas Crammer
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 6 No. 1 (2023): May 2023
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v6i1.81

Abstract

Based on the Law of the Republic of Indonesia Number 25 of 2009 concerning Services, public services must achieve good and clean governance, have less time discipline and tend to slow down the process, as well as a lack of professionalism from employees who are not responsible for their work. In addition to providing benefits and information to the village government, administrative services for research letters also affect quality and performance. The stages that will be carried out in this study include observation, interviews, and literature study from previous research. The Naïve Bayes classification method is used in this study, where the basic calculation is based on the probability of each attribute. If an attribute with a certain class has a value of zero, then the probability of that class will also be zero, and this will affect the final result of the Naïve Bayes calculation. Questionnaire result data is divided into 60% training data, 40% testing data, and 10% validation data. The evaluation results show an accuracy rate of 98.6% for training data, 100% for testing data, and 97.2% for validation data. The comparison shows that there is only a change of 2% after using the mail service administration information system