Irawan, Bagus (2015) Klasifikasi Data Dengan Metode Multilayer Perceptron Untuk Penentuan Korps/Jurusan Di Akademi Angkatan Laut. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Korps adalah himpunan orang (badan, organisasi) yang merupakan satu kesatuan. Sedangkan jurusan adalah bagian dari suatu fakultas atau sekolah tinggi yang bertanggung jawab untuk mengelola dan mengembangkan suatu bidang studi. Korps/jurusan yang ada di Akademi Angkatan Laut berjumlah lima buah yakni Pelaut, Teknik, Elektronika, Supply dan Marinir. Pembagian korps/jurusan ini dilakukan setelah taruna selesai melaksanakan pendidikan integrasi selama satu tahun di Akademi Militer Magelang. Penentuan korps/jurusan ini dilaksanakan dengan mempertimbangkan enam aspek penilaian yaitu aspek kesehatan, samapta, kepribadian, psikologi, latihan (berupa nilai pelayaran pra jalasesya) dan aspek akademik.. Pada kenyataannya sistem penentuan korps / jurusan bagi taruna Akademi Angkatan Laut sampai saat ini terasa masih belum optimal, sehingga masih banyak menimbulkan keraguan dan perdebatan dalam penentuan korps/jurusan ini. Hipotesa yang muncul bahwa penilaian dirasakan masih kurang dalam keterukuran dan keakuratan. Hal ini karena penilaian didasarkan pada pengamatan langsung saat sidang Dewan Akademik (Wanak), sedangkan dasar batasan/ukuran penilaian tersebut belum disebutkan secara jelas. Untuk mengatasai hal tersebut, terdapat beberapa metode untuk pengambilan keputusan, salah satu metode yang dapat digunakan adalah dengan metode Jaringan Syaraf Tiruan berbasis Multilayer Perceptron. Dimana metode tersebut dapat melakukan proses penghitungan untuk mencari keputusan/pilihan yang terbaik dengan cara pengklasifikasian. Hasil akhir dari penelitian ini, secara keseluruhan mempunyai tingkat akurasi kesamaan terhadap metode lama yakni sebesar 71,7 % atau sebanyak 71 orang dari 99 orang. Sehingga metode Multilayer Perceptron dapat sebagai bahan pertimbangan kepada pimpinan, serta dapat mempercepat dan mempermudah pimpinan dalam proses pengambilan keputusan. ====================================================================================================== Corps is a set of people (body, organization) which is a unity. While the department is part of a faculty or high school who is responsible for managing and developing a field of study. Corps / departments in the Naval Academy's five that is Seaman, Engineering, Electronics, Supply and Marines. Corps division / department was conducted after the cadets completed the integration of education for one year at the Military Academy in Magelang. Determination corps / department implemented taking into account the six aspects of the assessment that the health aspect, Samapta, personality, psychology, exercise (in the form of a pre cruise value jalasesya) and academic aspects. In fact the system of determining the corps / departments for Naval Academy midshipmen until now was still not optimal, so there is still a lot of raises doubts and debate in the determination of the corps / majors this. The hypothesis emerged that assessment still felt lacking in keterukuran and accuracy. This is because the assessments are based on direct observation of the current session of the Academic Council (Wanak), while the basic restrictions / size of the assessment has not been mentioned explicitly. To mengatasai this, there are several methods for decisionmaking, one of the methods that can be used is the method based Neural Network Multilayer Perceptron. Wherein the method can perform the counting process to find decisions / choices best by way of classification. The end result of this study, the overall accuracy rate has similarities to the old method which amounted to 71.7% or as many as 71 people from 99 people. So the method can Multilayer Perceptron as consideration to the leadership, and the leadership can accelerate and simplify the decision making process.
| Item Type: | Thesis (Masters) |
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| Additional Information: | RTMT 621.312 Ira k |
| Uncontrolled Keywords: | Korps/Jurusan, Jaringan Syaraf Tiruan (JST), Multilayer Perceptron |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD108 Classification (Theory. Method. Relation to other subjects ) Q Science > QA Mathematics > QA76.9.D343 Data mining |
| Divisions: | 61101-Magister Management Technology |
| Depositing User: | Yeni Anita Gonti |
| Date Deposited: | 03 Apr 2020 09:42 |
| Last Modified: | 03 Apr 2020 09:42 |
| URI: | https://repository.its.ac.id/id/eprint/75682 |
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