Application of Fuzzy C-Means Algorithm in Clustering Levels of Weed Killer Toxic Use (Case Study: PT. Daria Dharma Pratama)

Felic Valentino; Herlina Latipa Sari; Rizka Tri Alinse

doi:10.37638/gatotkaca.v2i1.420

Authors

Felic Valentino Department of Informatics, Faculty of Computer Science, Universitas Dehasen Bengkulu
Herlina Latipa Sari Department of Informatics, Faculty of Computer Science, Universitas Dehasen Bengkulu
Rizka Tri Alinse Department of Informatics, Faculty of Computer Science, Universitas Dehasen Bengkulu

DOI:

https://doi.org/10.37638/gatotkaca.v2i1.420

Keywords:

Fuzzy C-Means Algorithm, Clustering, Weed Killer Poison Use Rate

Abstract

PT. Daria Dharma Pratama is one of PT Kebun Sawit as well as the manufacture of CPO (Crude Palm Oil) in Mukomuko Regency. Weed weeds or herbicides are compounds or materials that are spread on agricultural land to suppress or eradicate plants that cause a decrease in yield (weeds). So far, the process of managing data on the use of weed killer poison at PT Daria Dharma Pratama is still using the manual method, namely by identifying the number of estates and the amount of use of weed killer poison every month then inputting the data into an office application package for making reports on the use of weed killer poison per estate. in 1 year. This research was conducted to determine the level of use of weed killer poison using the Fuzzy C-Means Algorithm and create an application that will apply the Fuzzy C-Means Algorithm for the clustering process. Application of Clustering the level of use of weed killer poison at PT. Daria Dharma Pratama can simplify the process of managing data on the amount of weed poison used in each estate and can make it easier for PT. in obtaining information on the level of use of weed killer poison which is grouped into high and low based on the results of the clustering that has been carried out using the Fuzzy C-Means Algorithm. Application of Clustering the level of use of weed killer poison at PT. Daria Dharma Pratama was created using the Visual Basic .Net programming language and SQL Server 2008 Database. Based on the grouping carried out using the data for the last 3 years (2018, 2019, 2020), it was found that the Number of Toxic Use Groups in Cluster I was 9 and the Number of Use Groups Toxins in Cluster II A total of 12. Based on the results of the tests that have been carried out, functionally from the Clustering Application the level of use of weed killer poisons at PT. Daria Dharma Pratama has worked as expected and is able to provide information on the level of use of gulam killer poison

References

Blazing, A., 2018. Pemrograman Windows Dengan Visual Basic .Net : Praktikum Pemrograman VB.Net. s.l.:Google Book.

Firman, A., 2019. Analisis dan Perancangan Sistem Informasi. Surabaya: Penerbit Qiara Media.

Irwansyah, E. & Faisal, M., 2015. Advanced Clustering Teori dan Aplikasi. Yogyakarta: DeePublish.

Kusumo, A. S., 2016. Administrasi SQL Server 2014. Jakarta: PT. Elex Media Komputindo.

Lasminiasih, 2016. Perancangan Sistem Informasi Kredit Mikro Mahasiswa Berbasis Web. Jurnal Sistem Informasi (JSI) Vol.8 No.1 April 2016 ISSN: 2085-1588.

Lubis, A., 2016. Basis Data Dasar Untuk Mahasiswa Ilmu Komputer. Yogyakarta: Deepublish.

Nugraha, G. S. & Riyandari, B. A., 2020. Implementasi Fuzzy C-Means Untuk Pengelompokan Daerah Berdasarkan Indikator Kesehatan. Jurnal Teknologi Informasi , Volume Vol.4. No.1 p-ISSN. 2580-7927.

Pamungkas, C. A., 2017. Pengantar dan Implementasi Basis Data. Yogyakarta: Penerbit Deepublish.

Rahakbauw, 2017. Implementasi Fuzzy C-Means Clustering Dalam Penentuan Beasiswa. Jurnal Ilmu Matematika dan Terapan, Volume Vol.11 No.1.

Ramadhan, A., 2017. Perbandingan K-Means dan Fuzzy C-Means Untuk Pengelompokan Data User Knowledge Modeling. Pekanbaru, Seminar Nasional Teknologi Informasi, Komunikasi, dan Industri (SNTIKI) Fakultas Sains dan Teknologi UIN Sultan Syarif Kasim Riau Pekanbaru ISSN 2579-7271.

Sikumbang, E. D., 2018. Penerapan Data Mining Penjualan Sepatu Menggunakan Metode Algoritma Apriori. Jurnal Teknik Komputer, Volume Vol.4 No.1.

Suprapto, U., 2021. Pemodelan Perangkat Lunak (C3) Kompentesi Keahlian : Rekayasa Perangkat Lunak Untuk SMK/MAK Kelas XI. Jakarta: Grasindo.

Wanto, A. et al., 2020. Data Mining : Algoritma Dan Implementasi. Medan: Yayasan Kita Menulis.

Wiliani, N. & Syadid, Z., 2017. Rancanga Bangun Aplikasi Kasir Tiket Nonton Bola Bareng Pada X Kasir Di Suatu Lokasi X Dengan Visual Basic 2010 dan MySQL. Jurnal Rekayasa Informasi , Volume Vol.6 No.2 ISSN:2252- 7354.

Yesputra, R., 2017. Belajar Visual Basic .Net Dengan Visual Studio 2010. Kisaran: Penerbit Royal Asahan Press