Decision Support System for Personnel Transfer Recommendation

Dhenika Wulansari; Achmad Affandi; Reza Fuad Rachmadi

doi:10.1109/ISITIA66279.2025.11137444

Decision Support System for Personnel Transfer Recommendation

Dhenika Wulansari
, Achmad Affandi
, Reza Fuad Rachmadi

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This study develops a Decision Support System (DSS) model to assist HR managers within the Directorate General of Customs and Excise (DJBC) in regional scope determining employee transfers based on predefined criteria and rules derived from regulations, expert opinions, and best practices. The DSS integrates Multi-Criteria Decision Making (MCDM) techniques, specifically the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), along with rule-based systems and profile matching to model employee transfer decisions. It classifies transfer eligibility, ranks destination offices, and provides the top three recommended locations. Validation through black-box testing confirms 100% accuracy for rule-based processing, while evaluation of 92 employee assessment samples using Slovin's method aligns with manual profile matching results. The ranking of suggested transfer destinations is perceived as appropriate by HR managers. Usability testing using the System Usability Scale (SUS) yields a score of 70, indicating favourable usability. The DSS model is recommended for integration into personnel systems with expanded variables and rules.

Original language	English
Title of host publication	26th International Seminar on Intelligent Technology and Its Applications
Subtitle of host publication	Fostering Equal Opportunities for Breakthrough Technology Innovations, ISITIA 2025 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	655-660
Number of pages	6
Edition	2025
ISBN (Electronic)	9798331537609
DOIs	https://doi.org/10.1109/ISITIA66279.2025.11137444
Publication status	Published - 2025
Event	26th International Seminar on Intelligent Technology and Its Applications, ISITIA 2025 - Hybrid, Surabaya, Indonesia Duration: 23 Jul 2025 → 25 Jul 2025

Conference

Conference	26th International Seminar on Intelligent Technology and Its Applications, ISITIA 2025
Country/Territory	Indonesia
City	Hybrid, Surabaya
Period	23/07/25 → 25/07/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

TOPSIS
decision support system
employee transfer
profile matching
rule-based system

Access to Document

10.1109/ISITIA66279.2025.11137444

Cite this

Wulansari, D., Affandi, A., & Rachmadi, R. F. (2025). Decision Support System for Personnel Transfer Recommendation. In 26th International Seminar on Intelligent Technology and Its Applications: Fostering Equal Opportunities for Breakthrough Technology Innovations, ISITIA 2025 - Proceedings (2025 ed., pp. 655-660). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISITIA66279.2025.11137444

Wulansari, Dhenika ; Affandi, Achmad ; Rachmadi, Reza Fuad. / Decision Support System for Personnel Transfer Recommendation. 26th International Seminar on Intelligent Technology and Its Applications: Fostering Equal Opportunities for Breakthrough Technology Innovations, ISITIA 2025 - Proceedings. 2025. ed. Institute of Electrical and Electronics Engineers Inc., 2025. pp. 655-660

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title = "Decision Support System for Personnel Transfer Recommendation",

abstract = "This study develops a Decision Support System (DSS) model to assist HR managers within the Directorate General of Customs and Excise (DJBC) in regional scope determining employee transfers based on predefined criteria and rules derived from regulations, expert opinions, and best practices. The DSS integrates Multi-Criteria Decision Making (MCDM) techniques, specifically the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), along with rule-based systems and profile matching to model employee transfer decisions. It classifies transfer eligibility, ranks destination offices, and provides the top three recommended locations. Validation through black-box testing confirms 100\% accuracy for rule-based processing, while evaluation of 92 employee assessment samples using Slovin's method aligns with manual profile matching results. The ranking of suggested transfer destinations is perceived as appropriate by HR managers. Usability testing using the System Usability Scale (SUS) yields a score of 70, indicating favourable usability. The DSS model is recommended for integration into personnel systems with expanded variables and rules.",

keywords = "TOPSIS, decision support system, employee transfer, profile matching, rule-based system",

author = "Dhenika Wulansari and Achmad Affandi and Rachmadi, \{Reza Fuad\}",

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year = "2025",

doi = "10.1109/ISITIA66279.2025.11137444",

language = "English",

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Wulansari, D, Affandi, A & Rachmadi, RF 2025, Decision Support System for Personnel Transfer Recommendation. in 26th International Seminar on Intelligent Technology and Its Applications: Fostering Equal Opportunities for Breakthrough Technology Innovations, ISITIA 2025 - Proceedings. 2025 edn, Institute of Electrical and Electronics Engineers Inc., pp. 655-660, 26th International Seminar on Intelligent Technology and Its Applications, ISITIA 2025, Hybrid, Surabaya, Indonesia, 23/07/25. https://doi.org/10.1109/ISITIA66279.2025.11137444

Decision Support System for Personnel Transfer Recommendation. / Wulansari, Dhenika; Affandi, Achmad ; Rachmadi, Reza Fuad.
26th International Seminar on Intelligent Technology and Its Applications: Fostering Equal Opportunities for Breakthrough Technology Innovations, ISITIA 2025 - Proceedings. 2025. ed. Institute of Electrical and Electronics Engineers Inc., 2025. p. 655-660.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Decision Support System for Personnel Transfer Recommendation

AU - Wulansari, Dhenika

AU - Affandi, Achmad

AU - Rachmadi, Reza Fuad

PY - 2025

Y1 - 2025

N2 - This study develops a Decision Support System (DSS) model to assist HR managers within the Directorate General of Customs and Excise (DJBC) in regional scope determining employee transfers based on predefined criteria and rules derived from regulations, expert opinions, and best practices. The DSS integrates Multi-Criteria Decision Making (MCDM) techniques, specifically the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), along with rule-based systems and profile matching to model employee transfer decisions. It classifies transfer eligibility, ranks destination offices, and provides the top three recommended locations. Validation through black-box testing confirms 100% accuracy for rule-based processing, while evaluation of 92 employee assessment samples using Slovin's method aligns with manual profile matching results. The ranking of suggested transfer destinations is perceived as appropriate by HR managers. Usability testing using the System Usability Scale (SUS) yields a score of 70, indicating favourable usability. The DSS model is recommended for integration into personnel systems with expanded variables and rules.

AB - This study develops a Decision Support System (DSS) model to assist HR managers within the Directorate General of Customs and Excise (DJBC) in regional scope determining employee transfers based on predefined criteria and rules derived from regulations, expert opinions, and best practices. The DSS integrates Multi-Criteria Decision Making (MCDM) techniques, specifically the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), along with rule-based systems and profile matching to model employee transfer decisions. It classifies transfer eligibility, ranks destination offices, and provides the top three recommended locations. Validation through black-box testing confirms 100% accuracy for rule-based processing, while evaluation of 92 employee assessment samples using Slovin's method aligns with manual profile matching results. The ranking of suggested transfer destinations is perceived as appropriate by HR managers. Usability testing using the System Usability Scale (SUS) yields a score of 70, indicating favourable usability. The DSS model is recommended for integration into personnel systems with expanded variables and rules.

KW - TOPSIS

KW - decision support system

KW - employee transfer

KW - profile matching

KW - rule-based system

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DO - 10.1109/ISITIA66279.2025.11137444

M3 - Conference contribution

AN - SCOPUS:105016905879

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EP - 660

BT - 26th International Seminar on Intelligent Technology and Its Applications

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ER -

Wulansari D, Affandi A , Rachmadi RF. Decision Support System for Personnel Transfer Recommendation. In 26th International Seminar on Intelligent Technology and Its Applications: Fostering Equal Opportunities for Breakthrough Technology Innovations, ISITIA 2025 - Proceedings. 2025 ed. Institute of Electrical and Electronics Engineers Inc. 2025. p. 655-660 doi: 10.1109/ISITIA66279.2025.11137444

Decision Support System for Personnel Transfer Recommendation

Abstract

Conference

UN SDGs

Keywords

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