Sistem Pakar Untuk Menentukan Departemen Sesuai Kepribadian Calon Karyawan dengan Menggunakan Metode Forward Chaining
-
Lely Panca Andriyanto
*
Universitas Pamulang, Tangerang Selatan,
Indonesia
- Meidy Fajar Wahyu Universitas Pamulang, Tangerang Selatan, Indonesia (*) Corresponding Author
Abstract
Human Resource Management (HRD) is an important aspect in ensuring the success of an organization, where the placement of employees who match their personality and skills is a key factor in increasing productivity and reducing turnover rates. This study aims to build a desktop-based expert system using the Forward Chaining method, where the inference process begins by matching personality trait facts from test results to rules (IF-THEN knowledge base) to produce conclusions in the form of recommendations for the most suitable department. as an objective tool in the process of placing new employees based on personality test results, where the system is designed to match the personality characteristics (Sanguine, Melancholy, Choleric, Phlegmatic) of prospective employees with the specific needs of each department. The results of functional testing and validation show that the system built has an accuracy rate of 92% from 50 employee data. The system built is able to provide employee placement recommendations faster with a time efficiency rate of 93.33%. The implementation of this system is a significant contribution in increasing the effectiveness of HRD decision making through the use of artificial intelligence technology.
Downloads
References
A. Sudiro dan O. P. Ardika, Manajemen Sumber Daya Manusia. Jakarta Timur: Bumi Aksara, 2022.
Alwi M dan Sugiono Edi, “Pengaruh Rekrutmen, Penempatan Kerja Dan Kompensasi Terhadap Kinerja Karyawan PT Indoturbine Jakarta Pusat,” Oikonomia : Jurnal Manajemen, vol. 15, no. 2, 2019, doi: 10.47313/oikonomia.v15i2.748.
D. S. Ilhami, Raymond, dan P. Dewi, Manajemen Kinerja. CV. Gita Lentera, 2024.
A. R. Putri dan H. Budayawan, “Pengaruh Pemahaman Tipe Kepribadian Terhadap Kinerja Karyawan,” Jurnal Psikologi Terapan, vol. 8, no. 02, hlm. 115–124, 2020.
H. Simamora, Manajemen Sumber Daya Manusia. Yogyakarta: STIE YKPN, 2018.
Fauziah Ana, “Sistem Pakar Identifikasi Kepribadian Untuk Merekomendasikan Jenis Pekerjaan Berbasis Web Dengan Metode Forward Chaining,” Juni : Jurnal Manajemen Sumber Daya Manusia, vol. 1, no. 1, hlm. 35–48, 2024.
PT. Surya Toto Indonesia Tbk., “Laporan Tahunan 2023,” https://www.toto.co.id. Diakses: 24 September 2025. [Daring]. Tersedia pada: https://www.toto.co.id
E. Turban, R. Sharda, dan D. Delen, Decision Support And Business Intelligence Systems, 10 ed. New Jersey: Pearson Education, 2018.
N. Jamil, R. Harman, Amrizal, dan R. Fauzi, “Pendekatan Sistem Pakar Forward Chaining Dengan Extreme Programming Pada Seleksi Karyawan PT. Enka Mandiri Sukses,” Jurnal Desain Dan Analisi Teknologi (JDDAT), vol. 3, no. 1, hlm. 59–67, 2024, doi: 10.58520/jddat.v3i1.53.
D. Arisandi dan I. P. Sari, Sistem Pakar Dengan Fuzzy Expert System. Ponorogo: Gracias Logis Kreatif, 2021.
P. R. Wibawa, Pengantar Sistem Pakar : Teori Dan Implementasi. PT. Green Pustaka Indonesia, 2025.
E. Asoka, L. Rahmi, A. Pameli, dan M. Afdhaludin, “Sistem Evaluasi Kontrak Kerja Karyawan Menggunakan Sistem Pakar Metode Forward Chaining,” JSAI : Journal Scientific and Applied Informatics, vol. 7, no. 1, hlm. 120–134, 2024, doi: 10.36085.
A. Wibowo, “Integrasi Kecerdasan Buatan Dalam Manajemen SDM,” Jurnal Teknologi Informasi dan Komputer, vol. 6, hlm. 89–97, 2020.
M. Xanderina dan A. dan J. F. Aditya Nafil, “Analisis Manajemen Sumber Daya Manusia Instansi Negeri Era Digitalisasi Dengan Kecerdasan Buatan,” Jurnal Mahasiswa Teknik Informatika, vol. 8, no. 4, 2024, doi: 10.36040/jati.v8i4.9952.
A. Dasa Putri dan E. Hutabri, “Penerapan Metode Forward Chaining dalam Perancangan Sistem Pakar Tes Emotional Quotient (EQ) Berbasis Web,” Journal of Applied Informatics and Computing (JAIC), vol. 3, no. 2, hlm. 84–89, 2019, doi: 10.30871/jaic.v3i2.1640.
R. Wandira dan J. Naam, “Implementasi Metode Forward Chaining Dalam Mengidentifikasi Kepribadian Siswa,” Jurnal CoSciTech (Computer Science and Information Technology), vol. 1, no. 2, hlm. 84–92, Okt 2020, doi: 10.37859/coscitech.v1i2.2236.
M. N. Widiyatama, B. S. Nauli, dan B. Panjaitan, “Sistem Pakar Dalam Pemilihan Karir Berdasarkan Kepribadian Siswa Sekolah Menengah Atas Dengan Metode Forward Chaining,” Sentri : Jurnal Riset Ilmiah, vol. 3, no. 3, hlm. 1779–1801, Mar 2024, doi: 10.55681/sentri.v3i3.2481.
T. Rivaldi, K. Solecha, dan O. Irnawati, “Implementasi Metode Forward Chaining Pada Sistem Pakar IdentIfikasi Kepribadian Siswa Berbasis Web,” Journal of Accounting Information System, vol. 05, no. 1, hlm. 1, Jun 2025, doi: 10.31294/jais.v5i01.5843.
J. L. Tjahjadi, Y. Wahyuningsih, P. D. P. Tanuwijaya, dan R. P. Kristianto, “Forward Chaining Algorithm on Informatics Graduate Job Recommendation System Based On MBTI Test,” IAIC International Conference Series, vol. 4, no. 1, hlm. 122–131, Des 2023, doi: 10.34306/conferenceseries.v4i1.641.
J. R. and I. J. G. Booch, The Unified Modeling Language User Guide , 2 ed. Boston: Addison-Wesley, 2005.
R. S. Pressman dan B. R. Maxim, Software Engineering: A Practitioner’s Approach, 8 ed. New York: McGraw-Hill Education, 2019.
A. S. Wulandari, A. Saepudin, M. P. Kinanti, Z. Sudesi, A. Saifudin, dan Y. Yulianti, “Pengujian Aplikasi Sistem Informasi Akademik Berbasis Web Menggunakan Metode Black Box Testing Equivalence Partitioning,” Jurnal Teknologi Sistem Informasi dan Aplikasi, vol. 5, no. 2, hlm. 102, Mei 2022, doi: 10.32493/jtsi.v5i2.17561.
F. C. Hudi dan Karyanti Maisyarah, “Pengujian Blck Box Testing Pada Sistem Informasi Assesment Berbasis Web Di Bidang Pariwisata,” Jurnal Ilmiah Komputasi, vol. 22, no. 4, hlm. 553–560, Des 2023, doi: 10.32409/jikstik.22.4.3490.
Sugiyono, Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta, 2019.
R. Sakinah dan M. Kuswinarno, “Dampak Kecerdasan Buatan Terhadap Digitalisasi Dan Kinerja Sumber Daya Manusia: Peluang Dan Tantangannya,” Jurnal Media Akademik, vol. 2, no. 9, hlm. 1–14, 2024, doi: 10.62281.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Sistem Pakar Untuk Menentukan Departemen Sesuai Kepribadian Calon Karyawan dengan Menggunakan Metode Forward Chaining
Pages: 233-241
Copyright (c) 2026 Lely Panca Andriyanto, Meidy Fajar Wahyu
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
