Pahlevi, M Kevin (2018) Identifikasi Gangguan Kepribadian Dramatis Menggunakan Metode Learning Vector Quantization (LVQ). Sarjana thesis, Universitas Brawijaya.
Abstract
Gangguan kepribadian salah satu masalah kesehatan yang dialami dan dirasakan oleh masyarakat. Kelompok B atau yang disebut dramatis lebih sering terjadi dikarenakan tingkat bunuh diri yang masih meningkat, akses media sosial yang tinggi, masih terjadi tawuran dan kasus bully dimana-mana, lalu banyak fenomena tentang orang yang ingin mencuri perhatian dengan tampilan fisik atau gaya bahasa yang tidak biasa, hal ini dapat meningkatkan resiko masyarakat terkena gangguan kepribadian khususnya kelompok dramatis. Penelitian ini mencoba mengidentifikasi gangguan kepribadian dramatis. Gangguan kepribadian dramatis ini dibagi kedalam 4 kelas. Metode yang digunakan adalah Learning vector quantization. Data didapatkan dari kuisioner dengan menggunakan 32 parameter dan berhasil mendapatkan data sebanyak 90 data. Peneilitan ini melakukan 4 skenario pengujian yang menghasilkan nilai learning rate 0,2, pengali learning rate 0,4, minimum learning rate 0,001 dan data latih sebesar 60. Hasil akurasi yang didapatkan sebesar 70%.
English Abstract
Personality disorder is one of the health problems experienced and felt by the community. Group B or so-called dramatic is more common due to increased suicide rates, high social media access, still happening brawl and bullying all over, then many phenomena about people who want to steal attention with a physical look or style of language that is not commonly, this can increase the risk of people affected personality disorders, especially the dramatic group. This study try to identify dramatic personality disorders. This dramatic personality disorder is divided into 4 classes. The method used is Learning vector quantization. Data obtained from questionnaires using 32 parameters and managed to get data as much as 90 data. This research conducts 4 test scenarios that result in a learning rate of 0.2, a multiplier learning rate of 0.4, a minimum learning rate of 0.001, and a training data of 60. The result of accuracy is 70%.
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/FTIK/2018/178/051801200 |
| Uncontrolled Keywords: | Gangguan Kepribadian, Klasifikasi, Learning Vector Quantization |
| Subjects: | 000 Computer science, information and general works > 006 Special computer methods > 006.3 Artificial intelligence > 006.31 Machine learning |
| Divisions: | Fakultas Ilmu Komputer > Teknik Informatika |
| Depositing User: | Yusuf Dwi N. |
| Date Deposited: | 24 May 2018 07:01 |
| Last Modified: | 26 Oct 2021 09:15 |
| URI: | http://repository.ub.ac.id/id/eprint/11016 |
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