Decision Support System For Employee Bonus Determination With Web-Based Simple Additive Weighting (SAW) Method In PT. Mayatama Solusindo

Irawan, Yuda

doi:10.37385/jaets.v2i1.162

Cited by 23 publications

(20 citation statements)

References 8 publications

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“…(c) Program implementation (Coding), at this stage, the program coding is carried out to implement the design of a decision support system using the PHP programming language. (d) Testing: At this stage, the system is tested to determine whether the system is following the needs [9,10].…”

Section: Methodsmentioning

confidence: 99%

Analysis Of Decision Support Systems for Candidate Selection Scholarship Recipients Using TOPSIS Method

Sani¹,

Aisyah²,

Rachmawati³

et al. 2022

Proceedings of the 2nd International Conference on Law, Social Science, Economics, and Education, ICLSSEE 2022, 16 April 2022,

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The high cost of completing education is one of the problems that exist in Indonesia. In order to solve this issue, one of the things that can be done is to provide scholarship assistance to students who excel or are less able. In every educational institution, especially in high school (SMA), there are many scholarships offered to students who excel and less fortunate students. With so many students who want to get these scholarships, a decision support system is needed to receive scholarships as expected. The current manual system can be inaccurate, considering that several criteria must be carefully considered. The average value of report cards, behavior, attendance, the amount of parental income, and the number of dependents of parents are all criteria that must be considered when evaluating prospective scholarship recipients. This study uses the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to select scholarship recipients. The objectives of this study are how to develop a Decision Support System model with the TOPSIS methods for determining exemplary student for scholarship.

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Section: Methodsmentioning

confidence: 99%

Analysis Of Decision Support Systems for Candidate Selection Scholarship Recipients Using TOPSIS Method

Sani¹,

Aisyah²,

Rachmawati³

et al. 2022

Proceedings of the 2nd International Conference on Law, Social Science, Economics, and Education, ICLSSEE 2022, 16 April 2022,

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“…Decision Support System merupakan suatu sistem yang dirancang dan digunakan untuk mendukung manajemen didalam pengambilan keputusan [8] [12] [13]. Decision Support System diidentifikasi sebagai suatu sistem yang berfungsi untuk mendukung manajerial pengambil keputusan dalam situasi keputusan semi terstruktur [14] .…”

Section: Decision Support Systemunclassified

Implementasi Metode Topsis Pada Decision Support System Untuk Penilaian Mahasiswa Berbasis Prestasi Akademik Dan Non Akademik

Ramadhan

Eliyen²

2022

rabit

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Today the development of the industrial world and technology is growing rapidly. The development of these two fields has a significant impact on all fields of human activity, one of which is the field of education. The influence of the times has pushed the output of higher education to be required to be able to compete and advance the country in the face of competition in the industrial era 4.0. Students in this case as outputs need to hone their academic and non-academic abilities so that they are ready to face the future in the current era of competition, so it is necessary to make an assessment of students to realize these goals. In addition, it is necessary to conduct student assessments in order to provide achievement motivation among students and create a better academic culture. In addition, it is hoped that this selection process can be adopted as a system for fostering achievement in higher education. Assessment of outstanding students in higher education can be done by using a qualified computing infrastructure. One of the mathematical methods that can be developed to assess outstanding students is the TOPSIS method. This method will later be implemented with a Decision Support System that is able to act as a data processor because it is facilitated by a database. From the results of the preference scores, several students with the highest scores were produced. Assessment based on the Decision Support System proves the effectiveness of mathematical calculations using the TOPSIS method rather than using manual methods that only use human power.

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“…DSSs are also often considered. Significant manuscripts from such authors as Kustandi C., Reni A., Setiawan N., and Irawan, Y. offer DSSs concerning CSs based on the Additive Weighting method [21][22][23]. Other authors are focused on DSS implementation and usage problems [24,25].…”

Section: Literature Sources Analysis and Purpose Of Study Formulationmentioning

confidence: 99%

Enterprise Compensation System Statistical Modeling for Decision Support System Development

et al. 2021

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This article raises the issue of decision support system (DSS) development in enterprises concerning the compensation system (CS). The topic is relevant as the CS is one of the main components in human resource management in business. A key element of such DSSs is CS models that provide predictive analytics. Such models are able to give information about how a particular CS affects output, product quality, employee satisfaction, and wage fund. Thus, the main goal of this article is to obtain a CS statistical model and its formulas for determining the probability densities of resultant indicators. To achieve this goal, the authors conducted several blocks of research. Firstly, mathematical formalization of CS functionality was described. Secondly, a statistical model of CS was built. Thirdly, calculations of CS result indicators were made. Reliable scientific methods were used: black box modeling and statistical modeling. This article proposes a statistical and analytical model. As an example, a piecework-bonus system statistical model is demonstrated. The discussion derives formulas of integral estimations showing the probability density of the resulting CS indicators and the related statistical characteristics. These results can be used to predict the behavior of the workforce. This constitutes the scientific novelty of the study, which will establish significant advances in the development of DSSs in the field of labor economics and HR management.

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Decision Support System For Employee Bonus Determination With Web-Based Simple Additive Weighting (SAW) Method In PT. Mayatama Solusindo

Cited by 23 publications

References 8 publications

Analysis Of Decision Support Systems for Candidate Selection Scholarship Recipients Using TOPSIS Method

Analysis Of Decision Support Systems for Candidate Selection Scholarship Recipients Using TOPSIS Method

Implementasi Metode Topsis Pada Decision Support System Untuk Penilaian Mahasiswa Berbasis Prestasi Akademik Dan Non Akademik

Enterprise Compensation System Statistical Modeling for Decision Support System Development

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