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Jurnal SINTA 2

Perancangan dan Implementasi Fuzzy Inference System (FIS) Metode Tsukamoto pada Penentuan Penghuni Asrama

Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 6 No. 1 (2019) · pp. 55–62

DOI
10.25126/jtiik.2019611228
ISSN
2528-6579, 2355-7699
Published
2019-01-16
Publisher
Fakultas Ilmu Komputer, Universitas Brawijaya
Language
id

Abstract

Asrama mahasiswa dibangun sebagai tempat tinggal bagi sekelompok orang yang sedang manjalankan suatu tugas atau kegiatan yang sama. Untuk menentukan mahasiswa yang berhak menjadi penghuni asrama, maka dalam penelitian ini memberikan rekomendasi untuk menggunakan Metode Fuzzy Tsukamoto. Metode Fuzzy Tsukamoto dipilih karena ada beberapa kelebihan yang menonjol yaitu dapat mendefinisikan nilai yang kabur dari inputan penilaian, dapat membangun, dan mengaplikasikan pengalaman-pengalaman para pakar secara langsung tanpa harus melalui proses pelatihan. Hasil analisis menyimpulkan bahwa: (1) Cara kerja Metode Fuzzy Tsukamoto memiliki tiga bagian yaitu: fuzzifikasi, inferensi fuzzy, dan defuzzifikasi, (2) Implementasi Metode Fuzzy Tsukamoto dapat menghitung penentuan penerimaan penghuni asrama mahasiswa pada studi kasus asrama mahasiswa putera “Negara Dipa Amuntai Malang”, berdasarkan 19 data dengan membandingkan antara hasil penilaian pakar, hasil perhitungan Fuzzy Tsukamoto secara manual, dan hasil perhitungan Fuzzy Tsukamoto secara otomatis menggunakan sistem yang terprogram, telah diuji mempunyai tingkat akurasi keberhasilan sebesar 63.15% dengan predikat cukup. AbstractStudent dormitory is built as a residence for a group of people who are carrying out a task or the same activity. To determine the students who have the right to become boarders, in this study provide recommendations for using the Fuzzy Tsukamoto Method. Fuzzy Tsukamoto method was chosen because there are several prominent advantages that can define the value that is blurred from the assessment input, can build, and apply the experiences of experts directly without having to go through the training process. The results of the analysis concluded that: (1) The workings of the Fuzzy Tsukamoto Method have three parts: fuzzification, fuzzy inference, and defuzzification. (2) The implementation of the Fuzzy Tsukamoto method can calculate the determination of the admission of students in the student dormitory case study of male student dormitory “Negara Dipa Amuntai Malang,” based on 19 data by comparing the results of the expert assessment, the results of Fuzzy Tsukamoto calculation manually, and the results of Fuzzy Tsukamoto calculations automatically using a programmed system, has been tested to have a success accuracy level of 63.15% with sufficient predicate.

Collaboration network of the authors

40 authors · 71 co-authorship links · 2 across different organisations · showing the 40 most connected

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

  • University of Brawijaya
  • Binus University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Fajar PradanaUniversity of Brawijaya10
Retno Indah RokhmawatiUniversity of Brawijaya3
Fitri UtaminingrumUniversity of Brawijaya3
Bayu PriyambadhaUniversity of Brawijaya2
Satrio Agung WicaksonoUniversity of Brawijaya2
Achmad BasukiUniversity of Brawijaya2
Imam CholissodinUniversity of Brawijaya2
Muhammad WafiUniversity of Brawijaya2
Novanto YudistiraUniversity of Brawijaya2
Herman TolleUniversity of Brawijaya2
Aisyah AwalinaUniversity of Brawijaya2
Joseph Ananda SugihdharmaUniversity of Brawijaya1
Rizal Setya PerdanaUniversity of Brawijaya1
Nathanael Victor DarenohUniversity of Brawijaya1
Aditya RachmadiUniversity of Brawijaya1
Nanang Yudi SetiawanUniversity of Brawijaya1
Iqbal Taufiq Ahmad NurUniversity of Brawijaya1
Indra SyahputraUniversity of Brawijaya1
Bayu SutawijayaUniversity of Brawijaya1
Mochammad Dearifaldi Al IkhsanUniversity of Brawijaya1
Sulandri SulandriUniversity of Brawijaya1
Rona SalsabilaUniversity of Brawijaya1
Muhammad ZulfikarrahmanUniversity of Brawijaya1
Diva Fardiana RisaUniversity of Brawijaya1
Aisyatul MaulidahUniversity of Brawijaya1
Intan Yusuf HabibieUniversity of Brawijaya1
Adam Syarif HidayatullahUniversity of Brawijaya1
Ovy RochmawantiUniversity of Brawijaya1
M. Sofyan IrwantoUniversity of Brawijaya1
Admi Rut SinanaUniversity of Brawijaya1
Kharis AlfianUniversity of Brawijaya1
Achmad RidokUniversity of Brawijaya1
Raga S. H. IstantoUniversity of Brawijaya1
Karina AmadeaUniversity of Brawijaya1
Gusti PangestuBinus University1
Budi Darma SetiawanUniversity of Brawijaya1
Muhammad Nugraha Delta RevanzaAffiliation unknown1

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">Perancangan dan Implementasi Fuzzy Inference System (FIS) Metode Tsukamoto pada Penentuan Penghuni Asrama</dc:title>
	<dc:creator xml:lang="id">Syahidi, Aulia Akhrian</dc:creator>
	<dc:creator xml:lang="id">Biabdillah, Fajerin</dc:creator>
	<dc:creator xml:lang="id">Bachtiar, Fitra Abdurrachman</dc:creator>
	<dc:description xml:lang="id">Asrama mahasiswa dibangun sebagai tempat tinggal bagi sekelompok orang yang sedang manjalankan suatu tugas atau kegiatan yang sama. Untuk menentukan mahasiswa yang berhak menjadi penghuni asrama, maka dalam penelitian ini memberikan rekomendasi untuk menggunakan Metode Fuzzy Tsukamoto. Metode Fuzzy Tsukamoto dipilih karena ada beberapa kelebihan yang menonjol yaitu dapat mendefinisikan nilai yang kabur dari inputan penilaian, dapat membangun, dan mengaplikasikan pengalaman-pengalaman para pakar secara langsung tanpa harus melalui proses pelatihan. Hasil analisis menyimpulkan bahwa: (1) Cara kerja Metode Fuzzy Tsukamoto memiliki tiga bagian yaitu: fuzzifikasi, inferensi fuzzy, dan defuzzifikasi, (2) Implementasi Metode Fuzzy Tsukamoto dapat menghitung penentuan penerimaan penghuni asrama mahasiswa pada studi kasus asrama mahasiswa putera “Negara Dipa Amuntai Malang”, berdasarkan 19 data dengan membandingkan antara hasil penilaian pakar, hasil perhitungan Fuzzy Tsukamoto secara manual, dan hasil perhitungan Fuzzy Tsukamoto secara otomatis menggunakan sistem yang terprogram, telah diuji mempunyai tingkat akurasi keberhasilan sebesar 63.15% dengan predikat cukup. AbstractStudent dormitory is built as a residence for a group of people who are carrying out a task or the same activity. To determine the students who have the right to become boarders, in this study provide recommendations for using the Fuzzy Tsukamoto Method. Fuzzy Tsukamoto method was chosen because there are several prominent advantages that can define the value that is blurred from the assessment input, can build, and apply the experiences of experts directly without having to go through the training process. The results of the analysis concluded that: (1) The workings of the Fuzzy Tsukamoto Method have three parts: fuzzification, fuzzy inference, and defuzzification. (2) The implementation of the Fuzzy Tsukamoto method can calculate the determination of the admission of students in the student dormitory case study of male student dormitory “Negara Dipa Amuntai Malang,” based on 19 data by comparing the results of the expert assessment, the results of Fuzzy Tsukamoto calculation manually, and the results of Fuzzy Tsukamoto calculations automatically using a programmed system, has been tested to have a success accuracy level of 63.15% with sufficient predicate. </dc:description>
	<dc:publisher xml:lang="en">Fakultas Ilmu Komputer, Universitas Brawijaya</dc:publisher>
	<dc:date>2019-01-16</dc:date>
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	<dc:identifier>10.25126/jtiik.2019611228</dc:identifier>
	<dc:source xml:lang="id">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol 6 No 1: Februari 2019; 55-62</dc:source>
	<dc:source xml:lang="en">Jurnal Teknologi Informasi dan Ilmu Komputer; Vol. 6 No. 1: Februari 2019; 55-62</dc:source>
	<dc:source>2528-6579</dc:source>
	<dc:source>2355-7699</dc:source>
	<dc:source>10.25126/jtiik.201961</dc:source>
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	<dc:rights xml:lang="en">Copyright (c) 2019 Jurnal Teknologi Informasi dan Ilmu Komputer</dc:rights>
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