Indeks Evaluasi Kepuasan Masyarakat pada Pelayanan Perizinan Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Menggunakan Metode algoritma C4.5

Rika Andriani, Poningsih Poningsih, Muhammad Ridwan Lubis

Abstract


At service companies that are customers of the company. Customers can be given lung from a service provider company. Customer satisfaction is formed from the level of achievement and company loyalty. This research supports companies in understanding the level of community satisfaction with services provided by companies in order to improve their performance and loyalty. The method used is the method of data mining with the algorithm c4.5 to obtain results from the decision tree that contains community satisfaction through predetermined criteria. With questionnaires shared with the appraisal community then used as research data.

Full Text:

PDF

References


M. A. Usman, E. Santoso, and N. Hidayat, “Sistem Pendukung Keputusan Pemilihan Anggota Pengurus Harian Pondok Pesantren Menggunakan Metode Profile Matching ( Studi Kasus Pondok Pesantren Putra Sabilurrosyad ),” vol. 1, no. 10, pp. 1176–1184, 2017.

I. Parlina, A. P. Windarto, A. Wanto, and M. R. Lubis, “Memanfaatkan Algoritma K-Means dalam Menentukan Pegawai yang Layak Mengikuti Asessment Center untuk Clustering Program SDP,” CESS (Journal of Computer Engineering System and Science), vol. 3, no. 1, pp. 87–93, 2018.

R. W. Sari, A. Wanto, and A. P. Windarto, “Implementasi Rapidminer dengan Metode K-Means (Study Kasus : Imunisasi Campak pada Balita Berdasarkan Provinsi),” KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer), vol. 2, no. 1, pp. 224–230, 2018.

M. G. Sadewo, A. P. Windarto, and A. Wanto, “Penerapan Algoritma Clustering dalam Mengelompokkan Banyaknya Desa/Kelurahan Menurut Upaya Antisipasi/ Mitigasi Bencana Alam Menurut Provinsi dengan K-Means,” KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer), vol. 2, no. 1, pp. 311–319, 2018.

M. G. Sadewo, A. P. Windarto, and D. Hartama, “Penerapan Datamining Pada Populasi Daging Ayam Ras Pedaging Di Indonesia Berdasarkan Provinsi Menggunakan K-Means,” InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan), vol. 2, no. 1, pp. 60–67, 2017.

S. Sudirman, A. P. Windarto, and A. Wanto, “Data Mining Tools | RapidMiner : K-Means Method on Clustering of Rice Crops by Province as Efforts to Stabilize Food Crops In Indonesia,” IOP Conference Series: Materials Science and Engineering, vol. 420, no. 12089, pp. 1–8, 2018.

A. P. Windarto, “Penerapan Data Mining Pada Ekspor Buah-Buahan Menurut Negara Tujuan Menggunakan K-Means Clustering,” Techno.COM, vol. 16, no. 4, pp. 348–357, 2017.

A. P. Windarto, “Implementation of Data Mining on Rice Imports by Major Country of Origin Using Algorithm Using K-Means Clustering Method,” International Journal of artificial intelligence research, vol. 1, no. 2, pp. 26–33, 2017.

H. Siahaan, H. Mawengkang, S. Efendi, A. Wanto, and A. P. Windarto, “Application of Classification Method C4 . 5 on Selection of Exemplary Teachers,” in IOP Conference Series, 2018, pp. 1–6.

E. Elisa, “Analisa dan Penerapan Algoritma C4.5 Dalam Data Mining Untuk Mengidentifikasi Faktor-Faktor Penyebab Kecelakaan Kerja Kontruksi PT.Arupadhatu Adisesanti,” Jurnal Online Informatika, vol. 2, no. 1, p. 36, 2017.




DOI: http://dx.doi.org/10.30645/senaris.v1i0.44

Refbacks

  • There are currently no refbacks.


&nbsp