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Sistem Rekomendasi Profesi Berdasarkan Dimensi Big Five Personality Menggunakan Fuzzy Inference System Tsukamoto

Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 6 No. 5 (2019) · pp. 457–466

DOI
10.25126/jtiik.201965942
ISSN
2528-6579, 2355-7699
Published
2019-10-08
Publisher
Fakultas Ilmu Komputer, Universitas Brawijaya
Language
id

Abstract

Sistem rekomendasi dapat dimanfaatkan sebagai alat bantu untuk pengambilan keputusan. Pada sebuah perusahaan, sistem rekomendasi profesi bisa digunakan untuk menempatkan seorang karyawan pada posisi yang tepat. Pada penelitian ini diusulkan sistem rekomendasi profesi berdasarkan Big Five Personality traits yang meliputi Extraversion, Aggreableness, Conscentiousness, Neuroticm, dan Opennes. Input yang digunakan ialah parameter dimensi Big Five Personality yang dirumuskan oleh John. Metode yang digunakan adalah Fuzzy Inference System (FIS) Tsukamoto. Keakuratan sistem dihitung dengan membandingkan output sistem dengan dengan acuan Top Ranked Personality - Based Work Styles for 22 Job Families yang menghasilkan nilai akurasi sebesar 63%.AbstractRecommendation systems can be used as a tool for decision making. In a company, a professional recommendation system can be used to place an employee in the right position. In this study proposed system of professional recommendation based on Big Five Personality traits which includes Extraversion, Aggreableness, Conscentiousness, Neuroticm, and Opennes. The input used is the Big Five Personality dimension parameter formulated by John. The method used is Fuzzy Inference System (FIS) Tsukamoto. The accuracy of the system is calculated by comparing the output of the system with the reference Top Personality - Based Work Styles for 22 Job Families that produce an accuracy score of 63%.

Keywords

Collaboration network of the authors

26 authors · 37 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Brawijaya
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Asyrofa RahmiUniversity of Brawijaya2
Yusuf Priyo AnggodoUniversity of Brawijaya2
Syaiful AnamUniversity of Brawijaya2
Firnanda Al Islama Achyunda PutraUniversity of Brawijaya1
Fitri UtaminingrumUniversity of Brawijaya1
Ida WahyuniUniversity of Brawijaya1
Ervin YohannesUniversity of Brawijaya1
Hilman Nuril HadiUniversity of Brawijaya1
Rizal Setya PerdanaUniversity of Brawijaya1
Ghenniy RachmansyahUniversity of Brawijaya1
Ria FebriyanaUniversity of Brawijaya1
Vitara Nindya Putri HasanUniversity of Brawijaya1
Mohammad Zoqi SarwaniUniversity of Brawijaya1
Luthfi HidayatUniversity of Brawijaya1
Rifki Setya ArmandaUniversity of Brawijaya1
Garsinia Ely RianiUniversity of Brawijaya1
Fita Lathifatul Mu’asyarohAffiliation unknown1
Agus Wahyu WidodoUniversity of Brawijaya1
Diva KurnianingtyasUniversity of Brawijaya1
Muchammad Chandra Cahyo UtomoUniversity of Brawijaya1
Ahmad Afif SupiantoUniversity of Brawijaya1
Adyan Nur AlfiyatinUniversity of Brawijaya1
Candra Fajri AnandaUniversity of Brawijaya1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jtiik.ub.ac.id/index.php/jtiik/en/oai, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="id">Sistem Rekomendasi Profesi Berdasarkan Dimensi Big Five Personality Menggunakan Fuzzy Inference System Tsukamoto</dc:title>
	<dc:creator xml:lang="id">Mar'i, Farhanna</dc:creator>
	<dc:creator xml:lang="id">Mahmudy, Wayan Firdaus</dc:creator>
	<dc:creator xml:lang="id">Yusainy, Cleoputri</dc:creator>
	<dc:subject xml:lang="id">sistem rekomendasi profesi</dc:subject>
	<dc:subject xml:lang="id">big five personality</dc:subject>
	<dc:subject xml:lang="id">fis tsukamoto</dc:subject>
	<dc:description xml:lang="id">Sistem rekomendasi dapat dimanfaatkan sebagai alat bantu untuk pengambilan keputusan. Pada sebuah perusahaan, sistem rekomendasi profesi bisa digunakan untuk menempatkan seorang karyawan pada posisi yang tepat. Pada penelitian ini diusulkan sistem rekomendasi profesi berdasarkan Big Five Personality traits yang meliputi Extraversion, Aggreableness, Conscentiousness, Neuroticm, dan Opennes. Input yang digunakan ialah parameter dimensi Big Five Personality yang dirumuskan oleh John. Metode yang digunakan adalah Fuzzy Inference System (FIS) Tsukamoto. Keakuratan sistem dihitung dengan membandingkan output sistem dengan dengan acuan Top Ranked Personality - Based Work Styles for 22 Job Families yang menghasilkan nilai akurasi sebesar 63%.AbstractRecommendation systems can be used as a tool for decision making. In a company, a professional recommendation system can be used to place an employee in the right position. In this study proposed system of professional recommendation based on Big Five Personality traits which includes Extraversion, Aggreableness, Conscentiousness, Neuroticm, and Opennes. The input used is the Big Five Personality dimension parameter formulated by John. The method used is Fuzzy Inference System (FIS) Tsukamoto. The accuracy of the system is calculated by comparing the output of the system with the reference Top Personality - Based Work Styles for 22 Job Families that produce an accuracy score of 63%.</dc:description>
	<dc:publisher xml:lang="en">Fakultas Ilmu Komputer, Universitas Brawijaya</dc:publisher>
	<dc:date>2019-10-08</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://jtiik.ub.ac.id/index.php/jtiik/article/view/942</dc:identifier>
	<dc:identifier>10.25126/jtiik.201965942</dc:identifier>
	<dc:source xml:lang="id">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol 6 No 5: Oktober 2019; 457-466</dc:source>
	<dc:source xml:lang="en">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol. 6 No. 5: Oktober 2019; 457-466</dc:source>
	<dc:source>2528-6579</dc:source>
	<dc:source>2355-7699</dc:source>
	<dc:source>10.25126/jtiik.201965</dc:source>
	<dc:language>id</dc:language>
	<dc:relation>https://jtiik.ub.ac.id/index.php/jtiik/article/view/942/pdf</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2019 Jurnal Teknologi Informasi dan Ilmu Komputer</dc:rights>
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