Adhiva Windra Maulana, . (2023) KLASTERISASI PRODUSEN PADI KABUPATEN PURWAKARTA MENGGUNAKAN METODE K- MEDOIDS. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
![[img]](http://repository.upnvj.ac.id/style/images/fileicons/text.png) |
Text
ABSTRAK.pdf Download (45kB) |
|
Text
AWAL.pdf Download (407kB) |
|
Text
BAB 1.pdf Download (83kB) |
|
Text
BAB 2.pdf Restricted to Repository UPNVJ Only Download (155kB) |
|
Text
BAB 3.pdf Restricted to Repository UPNVJ Only Download (177kB) |
|
Text
BAB 4.pdf Restricted to Repository UPNVJ Only Download (651kB) |
|
Text
BAB 5.pdf Download (181kB) |
|
Text
DAFTAR PUSTAKA.pdf Download (141kB) |
|
Text
RIWAYAT HIDUP.pdf Restricted to Repository UPNVJ Only Download (77kB) |
|
Text
LAMPIRAN.pdf Restricted to Repository UPNVJ Only Download (583kB) |
|
Text
HASIL PLAGIARISME.pdf Restricted to Repository staff only Download (487kB) |
|
Text
ARTIKEL KL.pdf Restricted to Repository staff only Download (341kB) |
Abstract
Rice farming plays an important role in the economy of Purwakarta Regency. The advantages of fertile nature and favorable geographical conditions make Purwakarta Regency one of the 18th largest rice producing areas out of 27 districts in West Java Province. Rice as a staple food for the Indonesian population has long been an important commodity in food security, and West Java Province is one of the main contributors to rice production in Indonesia. In this study, Clustering of Purwakarta Regency was carried out based on harvest area, rice production, and population using algorithm methods. Clustering results show the existence of three clusters that can be distinguished based on the level of harvest area, rice production, and population. Clustering results of Purwakarta Regency using the K- medoids algorithm method and evaluation using the Silhouette Coefficient method showed weak structure results. The average Silhouette Coefficient value is 0.481594647 , which indicates a number of inconsistencies in Cluster formation. Therefore, further research and development of more effective clustering methods may be the focus of future research.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 1910511101] [Pembimbing: Bayu Hananto] [Penguji 1: Widya Cholil] [Penguji 2: Helena Nurramdhani Irmanda] |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | Adhiva Windra Maulana |
| Date Deposited: | 13 Sep 2023 01:44 |
| Last Modified: | 13 Sep 2023 01:44 |
| URI: | http://repository.upnvj.ac.id/id/eprint/25415 |
Actions (login required)
 |
View Item |