Decision Support Model for User Submission Approval Energy Partners Candidate Using Profile Matching Method and Analytical Hierarchy Process

Moedjiono, Moedjiono; Kurnianda, Nia Rahma; Kusdaryono, Aries

doi:10.15294/sji.v3i2.7916

Cited by 3 publications

(2 citation statements)

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“…User satisfaction is based on the usability of the system [44]. In the field of services, customer satisfaction is a very important factor and determines the success of an enterprise [45]. To increase the usability value of the Kiosagri platform, it is necessary to increase the quality components variables that still have a moderate category, namely memorability (easy to remember), error (few errors during use), and satisfaction (fun) based on suggestions from respondents.…”

Section: Discussionmentioning

confidence: 99%

Usability Analysis of Digital-Based Agricultural Product Marketing Platform at Farmers Level in Region V, Bogor Regency

Budiastuti,

Ritchi,

Deliana

2023

SJI

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Purpose: This study examines the usability of a digital platform called Kiosagri.com. This study needs to carry out as one of the solutions to overcome the limited accessibility of agricultural product promotion through the use of a digital platform that is expected to have usability. Therefore, this study aims to analyze the usability of digital-based agricultural product marketing platforms at the farmer level in Region V of Bogor Regency.Methods: This research employed a mixed method with an explanatory sequential design. The intended audience for the census of respondents was farmers who had utilized the Kiosagri.com platform. Data analysis was done on 32 respondents during the quantitative phase using descriptive statistics. Ten respondents were chosen purposefully for descriptive qualitative analysis during the qualitative phase.Results: According to the results, the Kiosagri platform is very user-friendly. It is achieved as a result of several beneficial aspects connected to the benefits perceived by users, such as ease of use, suitability of design, and features offered by Kiosagri.Novelty: In this study, a different way to measure the usability of digital platforms for agricultural products marketing is applied, namely by using the explanatory sequential design by conducting usability testing using descriptive statistics through the use of questionnaires and explaining the results further using descriptive qualitative through in-depth interviews which both methods are suitable for testing user experience and usability in the agricultural sector. The results of this study will be useful for the government in implementing digital marketing of agricultural products.

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Section: Discussionmentioning

confidence: 99%

Usability Analysis of Digital-Based Agricultural Product Marketing Platform at Farmers Level in Region V, Bogor Regency

Budiastuti,

Ritchi,

Deliana

2023

SJI

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“…Decision support system with a combination of research methods can be used as a decision maker in order to increase the effectiveness of sending the best candidates / employees, and increase customer satisfaction, and reduce costs and increase the company's gross operating margin. The final result of software quality according to respondents is Good with the percentage of respondents at 83.87% [4]. decision support system in the comparison between Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods, is used to find out the accuracy of each method in determining employee employee performance appraisal, namely the Highest Score {(SAW: 0.871) (AHP) : 0.368), Lowest score (SAW: 0.686) (AHP: 0.110), average final score (SAW: 0.767) (AHP: 0.2), Total from the final score accumulation (SAW: 3.834) (AHP: 1) Accuracy AHP results are more accurate than SAW [5].…”

Section: B Study Overviewmentioning

confidence: 96%

Decision Support System for Employee Candidate Selection using AHP and PM Methods

Soleman¹

2019

IJACSA

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PT. Prima Grafika is a digital printing company that is looking for the best prospective employees. Based on research and observations that have been made, the company only uses administrative data in selecting prospective employees. Processing a lot of data and documents with the same applicant's name slowing down the data processing and exceeding the time limit has been determined to get the best employees. The solution to this problem is by making a web-based system in recruitment, a decision support system combined with Analytic Hierarchy Process (AHP) method as a weighting to conduct priority criteria analysis by pairwise comparisons between two criterion so that all criteria are covered, and the Profile Matching (PM) method as a ranking. This study uses three methods of testing, namely, Black Box Testing system tested by 60 respondents who can be accepted by the company; User Acceptance Testing (UAT) obtained from 10 respondents with an ideal score of 900 produced an actual score of 779 or 86.1%, in total this whole system is acceptable; and Delone and McLean Model Test Results obtained from 10 respondents with an ideal score of 850 produced an actual score of 726 or 85.7% which is very good. With the results of ranking: A001 -Cantika Dewi = 4.12, A004-Arif Yulkianto = 3.98, A002 Eprriadi = 3,913, A003-Rika Novriani = 3,467.

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Multi-Attribute Decision Making Model for Acceptance of Prospective Corporate Employees with Interpolation Method

Kurnianda

2019

J. Phys.: Conf. Ser.

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PT PERSADA is one of the companies engaged in the field of labor management. Partner satisfaction is the most important thing for PT PERSADA; therefore in providing maximum service to partners PT. PERSADA, it requires a workforce that can serve the needs of companies with qualifications that can provide maximum benefits and low costs for the company. This can be seen and calculated from the criteria given by the company for the selection process of the prospective employees and of course different in each function of the job required. In supporting PT PERSADA to make decisions on the acceptance of these corporate employees, we propose an evaluation mechanism using the interpolation method. The interpolation method that we use is to convert the criteria value, then give the value of the numeric format after being compared with the minimum requirements of the position. After that we calculated the rating of each criterion per alternative (per candidate) and gave a rating recommendation based on the results of the candidate rating. The final result we got from the assessment mechanism was to get recommendations from prospective corporate employees with high benefits and low costs for the company.

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Decision Support Model for User Submission Approval Energy Partners Candidate Using Profile Matching Method and Analytical Hierarchy Process

Cited by 3 publications

References 0 publications

Usability Analysis of Digital-Based Agricultural Product Marketing Platform at Farmers Level in Region V, Bogor Regency

Usability Analysis of Digital-Based Agricultural Product Marketing Platform at Farmers Level in Region V, Bogor Regency

Decision Support System for Employee Candidate Selection using AHP and PM Methods

Multi-Attribute Decision Making Model for Acceptance of Prospective Corporate Employees with Interpolation Method

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