Ghozali, Steven Nesdi (2014) Pemanfaatan kohonen som satu dimensi untuk pengklasteran data kuesioner calon mahasiswa di Surabaya. Bachelor thesis, Universitas Pelita Harapan.
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Abstract
Mahasiswa adalah salah satu unsur penting yang ada di dalam sebuah
perguruan tinggi. Jika sebuah perguruan tinggi tidak mempunyai mahasiswa atau
mempunyai mahasiswa hanya dalam jumlah sedikit, maka perguruan tinggi
tersebut tidak akan bisa menjadi populer dan lebih berkualitas. Universitas Pelita
Harapan adalah salah satu perguruan tinggi yang ada di Surabaya. Dalam usaha
untuk mencari mahasiswa lebih banyak, tim marketing mengadakan penelitian
dengan cara membagikan kuesioner kepada para siswa dari SMA swasta di
Surabaya kemudian dilakukan penggolongan terhadap hasil kuesioner tersebut.
Jika sudah digolongkan, tim marketing akan menyusun strategi yang tepat untuk
dilakukan.
Salah satu metode yang bisa dipakai untuk melakukan penggolongan adalah
dengan memanfaatkan jaringan saraf tiruan Kohonen SOM (Self Organizing
Map). Setelah digolongkan, setiap golongan haruslah dilihat ciri-cirinya dan
tingkat kepercayaan untuk masing-masing cirinya. Untuk bisa melihat tingkat
kepercayaan untuk masing-masing ciri dari tiap golongan, diperlukanlah teori
tentang belief yang berasal dari Dempster–Shafer Theory. Setelah data hasil
kuesioner tersebut digolongkan, dicari ciri-cirinya, kemudian dicari tingkat
kepercayaannya, barulah tim marketing bisa menyusun strategi untuk ke depannya
supaya bisa merekrut lebih banyak calon mahasiswa.
Berdasarkan hasil uji coba yang sudah dilakukan, dapat disimpulkan bahwa
aplikasi ini dapat mengklaster data hasil kuesioner dari calon mahasiswa serta
mencari ciri dan belief pada setiap klaster. / Student is one of important substances in the university. If university don’t
have many students, then the university will not be popular and will not have
good quality. Universitas Pelita Harapan is one of university that is located in
Surabaya. In effort to get more students, marketing subdivision doing a research
by giving a questioner to high school students in Surabaya and then the questioner
result will be clustered. After it has been clustered, Marketing subdivision will
arrange right strategies to be done.
Kohonen SOM (Self Organizing Map) is one of the methods that can be
used to do clustering. After the questioner result has been clustered, each cluster
has to be analyzed to get it’s characteristic and it’s belief value. In getting belief
value, theory from Dempster–Shafer Theory is needed. After the questioner result
has been clustered and belief value for each cluster has been obtained, marketing
subdivision can now arrange right strategies to get more students.
Based on the results of trials that have been done, it can be concluded that
the application can group questioner result from the students into some clusters
and finding the characteristic and belief for each cluster.
Item Type: | Thesis (Bachelor) |
---|---|
Creators: | Creators NIM Email ORCID Ghozali, Steven Nesdi NIM08120100006 UNSPECIFIED UNSPECIFIED |
Contributors: | Contribution Contributors NIDN/NIDK Email Thesis advisor Setiawan, Kuswara UNSPECIFIED UNSPECIFIED |
Uncontrolled Keywords: | pengklasteran; kuesioner; kohonen self organizing map (som); kecerdasan buatan; clustering; questioner; artificial intelligence |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware |
Divisions: | University Subject > Current > Faculty/School - UPH Surabaya > School of Information Science and Technology > Information Systems Current > Faculty/School - UPH Surabaya > School of Information Science and Technology > Information Systems |
Depositing User: | Rafael Rudy |
Date Deposited: | 26 Jan 2024 07:02 |
Last Modified: | 26 Jan 2024 07:02 |
URI: | http://repository.uph.edu/id/eprint/60691 |