Jurnal SINTA 2
Pengelompokan Data Hasil Tes Kepribadian 16pf Sopir Bus Menggunakan Algoritma Genetika
Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 3 No. 3 (2016) · pp. 163–168
- ISSN
- 2528-6579, 2355-7699
- Published
- 2016-09-08
- Publisher
- Fakultas Ilmu Komputer, Universitas Brawijaya
- Language
- en
Abstract
AbstrakTes kepribadian merupakan suatu metode tes yang disusun untuk mendeskripsikan bagaimana kecenderungan seseorang dalam bertingkah laku maupun berpikir. Tes kepribadian sebenarnya hanya dapat dideskripsikan secara kualitatif karena sebenarnya kepribadian tidak dapat diukur. Namun, untuk membantu menjelaskan kepribadian seseorang dapat menggunakan bantuan angka sehingga hasil dari tes tersebut dapat di deskripsikan ke dalam bentuk kualitatif. Dalam penelitian sebelumnya, pengelompokan hasil data tes kepribadian 16PF dilakukan dengan metode K – Means Clustering yang digabung dengan metode Silhouette Coefficient. Penelitian tersebut memiliki hasil maksimum SI (Silhouette Index) hingga 0.4341. Dalam penelitian kali ini, metode yang dapat digunakan untuk mengelompokkan dan menghitung seluruh data serta atribut yang diperoleh menggunakan Algoritma Genetika. Tahapan untuk mengelompokkan data menggunakan metode yang sama seperti penelitian sebelumnya yaitu K – Means Clustering dan untuk menghitung cluster diperlukan representasi kromosom agar dapat membangkitkan nilai Centroid untuk perhitungan Silhouette Coefficient. Representasi kromosom yang digunakan adalah real code genetic algorithm dimana representasi tersebut dibangkitkan secara random dengan interval tertentu. Dari pengujian yang dilakukan, sistem mampu memberikan nilai SI terbaik pada jumlah populasi 40, jumlah generasi 15, kombinasi cr 0.7 dan mr 0.3. Algoritma genetika mampu memberikan solusi optimal dibandingkan dengan penelitian sebelumnya dimana dengan jumlah data yang sama menghasilkan nilai SI yang lebih baik.Kata Kunci: Algoritma genetika, Personality Factor, Clustering, K – Means, Silhouette Coefficient.AbstractAbstractPersonality Test is a test method developed to describe how the tendency of a person's behavior and thinking. Actually, personality tests can only be described qualitatively because actual personality cannot be measured. However, figures can be used to help explaining an individual’s personality, thus test results could be described into qualitative terms. In previous research, grouping data results 16PF personality test was conducted using K - Means Clustering combined with Silhouette Coefficient methods. The study has a maximum performance in terms of SI (silhouette index) of 0.4341. In the present study, the method can be used to classify, count all the data and attributes that are obtained using Genetic Algorithms. Stages for classifying data using the same method as previous research, that K - Means Clustering and to calculate cluster, required the representation of chromosomes in order to generate value of Centroid for the calculation Silhouette Coefficient. Chromosome representation used is real code genetic algorithm which is representations generated randomly with a certain interval. From the tests, systems are able to provide the best SI values in populations of 40, the number of generations 15, combination of cr mr are 0.7 and 0.3. Genetic algorithms are able to provide optimal solutions compared to a previous study in which the same amount of data to produce better value SI.Keywords: Genetic algorithms, Personality Factor, Clustering, K – Means, Silhouette Coefficient.
Collaboration network of the authors
40 authors · 68 co-authorship links · 10 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
- State University of Malang
- Universitas Merdeka Malang
- Institut Teknologi Sepuluh Nopember
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Yusuf Priyo Anggodo | University of Brawijaya | 3 |
| Asyrofa Rahmi | University of Brawijaya | 2 |
| Syaiful Anam | University of Brawijaya | 2 |
| Adyan Nur Alfiyatin | University of Brawijaya | 2 |
| Firnanda Al Islama Achyunda Putra | University of Brawijaya | 1 |
| Fitri Utaminingrum | University of Brawijaya | 1 |
| Ida Wahyuni | University of Brawijaya | 1 |
| Ervin Yohannes | University of Brawijaya | 1 |
| Hilman Nuril Hadi | University of Brawijaya | 1 |
| Rizal Setya Perdana | University of Brawijaya | 1 |
| Ghenniy Rachmansyah | University of Brawijaya | 1 |
| Ria Febriyana | University of Brawijaya | 1 |
| Vitara Nindya Putri Hasan | University of Brawijaya | 1 |
| Mohammad Zoqi Sarwani | University of Brawijaya | 1 |
| Rifki Setya Armanda | University of Brawijaya | 1 |
| Garsinia Ely Riani | University of Brawijaya | 1 |
| Fita Lathifatul Mu’asyaroh | Affiliation unknown | 1 |
| Agus Wahyu Widodo | University of Brawijaya | 1 |
| Diva Kurnianingtyas | University of Brawijaya | 1 |
| Muchammad Chandra Cahyo Utomo | University of Brawijaya | 1 |
| Candra Fajri Ananda | University of Brawijaya | 1 |
| Farhanna Mar’i | University of Brawijaya | 1 |
| Cleoputri Yusainy | University of Brawijaya | 1 |
| Qoirul Kotimah | University of Brawijaya | 1 |
| Vivi Nur Wijayaningrum | University of Brawijaya | 1 |
| Gayatri Dwi Santika | University of Brawijaya | 1 |
| Agus Naba | University of Brawijaya | 1 |
| Aji Prasetya Wibawa | State University of Malang | 1 |
| Nadia Roosmalita Sari | University of Brawijaya | 1 |
| Elta Sonalitha | Universitas Merdeka Malang | 1 |
| Gusti Ahmad Fanshuri Alfarisy | University of Brawijaya | 1 |
| Muhammad Halim Natsir | University of Brawijaya | 1 |
| Agung Mustika Rizki | Institut Teknologi Sepuluh Nopember | 1 |
| Gusti Eka Yuliastuti | University of Brawijaya | 1 |
| Andi Hamdianah | University of Brawijaya | 1 |
| Hilman Taufiq | University of Brawijaya | 1 |
| Aprilia Nur Fauziyah | University of Brawijaya | 1 |
| Amalia Kartika Ariyani | University of Brawijaya | 1 |
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.