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All Journal Jurnal Sistem Informasi Kaputama (JSIK) Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Health, Engineering and Technology Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Repeater: Publikasi Teknik Informatika dan Jaringan Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Systematic Literature Review Journal
Hermansyah Sembiring
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Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Dentistry Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Clustering of Customer Complaints from PDAM Kota Binjai Using the K-Means Method Lailatul Magfiroh; Hermansyah Sembiring; Anton Sihombing
International Journal of Health Engineering and Technology Vol. 1 No. 3 (2022): IJHET-SEPTEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2176.556 KB) | DOI: 10.55227/ijhet.v1i3.65

Abstract

PDAM Tirtasari Binjai City is a public service institution that has a monopoly on water supply in Binjai City. The predicate as a metropolitan city, illustrates that Binjai City is a city with dense industry and trade. In this study, discusses how to handle customer complaints of PDAM Binjai City to provide satisfaction to customers. The research method used in this study is K-Means which aims to describe the quality of service for handling customer complaints at PDAM Kota Binjai in increasing customer satisfaction. The informant determination technique carried out by the researcher is using the Clustering K-Means method.
Co-Authors ACHMAD FAUZI Al Boy In Buaton, Relita Cinta Apriliza Dila Aulia Putri Kiki Adilianti Lailatul Magfiroh M. Zulhamdany Bangun Muhammad Alfanny Muhammad Fadlan Siregar Muhammad Yusri Novriyenni Novriyenni Novryenni Novryenni Pardede, Akim Manaor Hara Rika Hedy Anggraini Prastio Sabina Eis Zulvahira Nasution Sihombing, Anton Syari, Milli Alfhi Yani Maulita