Wijaya, Waskitha (2018) Pengembangan Aplikasi Mobile Klasifikasi Trait Dengan Metode Grid-Double Block Dan Svm. Magister thesis, Universitas Brawijaya.
Abstract
Tes psikologi yang menjadi tolak ukur dalam mengetahui kepribadian seseorang dibutuhkan dalam kegiatan penerimaan pegawai baru dan penerimaan siswa baru merupakan kegiatan yang sudah biasa dilakukan. Kegiatan tes psikologi yang menyita waktu sangat panjang bisa digantikan dengan grafologi. Merupakan salah satu cabang ilmu psikologi, grafologi mempelajari tentang tulisan tangan seseorang. Semua informasi kepribadian seseorang dapat diketahui melalui grafologi. Mengambil 42 sampel tulisan tangan dari berbagai orang dengan latar belakang, aplikasi grafologi ini menggunakan metode Grid-Double block yang merupakan pengembangan dari aplikasi terdahulu dan metode klasifikasi SVM menghasilkan kesimpulan dapat mengenali tulisan tangan berdasarkan fitur yang digunakan dengan akurasi pada margin kiri sebesar 79%, margin kanan sebesar 88%, margin atas dan margin bawah masing-masing sebesar 98%, deteksi spasi sebesar 100% dan 34% garis dasar.
English Abstract
Psychological tests that become benchmarks in knowing the person personality is commonly done in the activities of recruitment and acceptance of students. A process of psychological tests spends so much time and energy. These time-consuming psychological tests can be replaced with graphology. Graphology is one of branches of psychology. It learns about handwriting. It gives all informations about person’s personality. This research takes 42 handwriting samples. By using graphology application that uses the Grid-Double block method which is developed from the previous application and the SVM method of classification, we know person’s handwriting based on the feature such as left margin, right margin, top margin, bottom margin, base line, and spacing. Left margin accuracy is found 79%, right margin of 88%, top margin and bottom margin respectively of 98%, 100% spacing detection and 34% baseline.
| Item Type: | Thesis (Magister) |
|---|---|
| Identification Number: | TES/006.425/WIJ/p/2018/041802700 |
| Uncontrolled Keywords: | SUPPORT VECTOR MACHINES, GRAPHOLOGY - COMPUTER PROGRAMS, GRAPHOLOGY, WRITING - DATA PROCESSING, OPTICAL PATTERN RECOGNITION, IMAGE PROCESSING |
| Subjects: | 000 Computer science, information and general works > 006 Special computer methods > 006.4 Computer pattern recognition > 006.42 Optical pattern recognition > 006.425 Handwriting recognition |
| Divisions: | S2/S3 > Magister Ilmu Komputer, Fakultas Ilmu Komputer |
| Depositing User: | Nur Cholis |
| Date Deposited: | 14 May 2018 07:30 |
| Last Modified: | 22 Oct 2021 03:27 |
| URI: | http://repository.ub.ac.id/id/eprint/10504 |
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DAFTAR PUSTAKA.pdf Download (270kB) | Preview |
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Waskitha Wijaya 156150100111012 - 1. Sampul.pdf Download (207kB) | Preview |
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BAGIAN DEPAN.pdf Download (2MB) | Preview |
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Waskitha Wijaya 156150100111012 - 4. Kata Pengantar.pdf Download (178kB) | Preview |
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Waskitha Wijaya 156150100111012 - 2. Pengesahan.pdf Download (177kB) | Preview |
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Waskitha Wijaya 156150100111012 - 3. Originalitas.pdf Download (173kB) | Preview |
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Waskitha Wijaya 156150100111012 - 7. Daftar Isi.pdf Download (273kB) | Preview |
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Waskitha Wijaya 156150100111012 - 5. Abstrak.pdf Download (253kB) | Preview |
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Waskitha Wijaya 156150100111012 - 6. Abstract.pdf Download (259kB) | Preview |
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Waskitha Wijaya 156150100111012 - 8. Daftar Tabel.pdf Download (270kB) | Preview |
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Waskitha Wijaya 156150100111012 - 9. Daftar Gambar.pdf Download (273kB) | Preview |
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Waskitha Wijaya 156150100111012 - 10. Bab I Pendahuluan.pdf Download (293kB) | Preview |
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Waskitha Wijaya 156150100111012 - 11. Bab II Landasan Kepustakaan.pdf Download (2MB) | Preview |
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Waskitha Wijaya 156150100111012 - 12. Bab III Metodologi.pdf Download (321kB) | Preview |
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Waskitha Wijaya 156150100111012 - 13. Bab IV Perancangan.pdf Download (1MB) | Preview |
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Waskitha Wijaya 156150100111012 - 14. Bab V Implementasi.pdf Download (1MB) | Preview |
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Waskitha Wijaya 156150100111012 - 15. Bab VI Hasil dan Pembahasan.pdf Download (640kB) | Preview |
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Waskitha Wijaya 156150100111012 - 16. Bab VII Analisis Hasil Pengujian.pdf Download (438kB) | Preview |
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Waskitha Wijaya 156150100111012 - 17. Bab VII Kesimpulan Saran.pdf Download (259kB) | Preview |
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Waskitha Wijaya 156150100111012 - 19. Lampiran.pdf Download (236kB) | Preview |
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