IMPLEMENTASI ALGORITMA K-MEANS PADA RANCANG BANGUN SISTEM APLIKASI CUSTOMER RELATIONSHIP MANAGEMENT (CRM) UNTUK MENENTUKAN REWARD CUSTOMER BERBASIS WEB

BARIMBING, ANGELA ODETIO (2023) IMPLEMENTASI ALGORITMA K-MEANS PADA RANCANG BANGUN SISTEM APLIKASI CUSTOMER RELATIONSHIP MANAGEMENT (CRM) UNTUK MENENTUKAN REWARD CUSTOMER BERBASIS WEB. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

The increasing industrial growth drives PT Porta Griya Indah, an industrial company, to retain their customers. Currently, the company still utilizes manual methods such as telephone, WhatsApp, and email to manage customer relationships, making it challenging for the marketing team to establish good connections. To overcome this challenge, the company needs to implement a Customer Relationship Management (CRM) strategy. In order to find ways to increase sales accompanied by customer loyalty, the appropriate choice is to provide rewards to customers. Therefore, this research aims to develop a website-based Customer Relationship Management application using the K-Means Clustering algorithm to determine customer rewards accurately and swiftly. The data will be divided into two clusters: eligible for rewards and not eligible for rewards, based on predefined criteria and evaluation weights. The research results indicate that this system successfully assists the marketing team in communicating with customers, facilitates the delivery of customer issues and needs to the director, and simplifies the selection of the best customers eligible for rewards to enhance loyalty. Implementing this system can enhance the efficiency of PT Porta Griya Indah in retaining customers and improving customer satisfaction amidst the continuously growing industrial expansion. Keywords: Industrial growth, Customer Relationship Management (CRM), PT Porta Griya Indah, K-Means Clustering algorithm, sales, customer loyalty, customer rewards, website-based application system. Pertumbuhan industri yang terus meningkat mendorong PT Porta Griya Indah, perusahaan industri, untuk mempertahankan pelanggan mereka. Saat ini, perusahaan masih menggunakan metode manual seperti telepon, WhatsApp, dan Email dalam mengelola hubungan dengan pelanggan, menyulitkan pihak marketing untuk menjalin hubungan yang baik. Untuk mengatasi tantangan ini, perusahaan perlu menerapkan strategi Customer Relationship Management (CRM). Guna mencari cara agar penjualan meningkat disertai loyalitas pelanggan maka pilihan yang tepat dilakukan adalah dengan memberikan reward kepada customer. Oleh karena itu, penelitian ini bertujuan untuk membangun sistem aplikasi Customer Relationship Management berbasis website dengan algoritma K-Means Clustering untuk menentukan reward customer secara tepat dan cepat. Data akan dikelompokkan menjadi dua cluster, yaitu layak menerima reward dan tidak layak menerima reward berdasarkan kriteria dan bobot penilaian. Hasil penelitian menunjukkan bahwa sistem ini berhasil membantu pihak marketing berkomunikasi dengan pelanggan, memfasilitasi penyampaian permasalahan dan kebutuhan pelanggan kepada direktur, serta memudahkan pemilihan pelanggan terbaik yang berhak menerima reward untuk meningkatkan loyalitas. Penerapan sistem ini dapat meningkatkan efisiensi PT Porta Griya Indah dalam mempertahankan pelanggan dan meningkatkan tingkat kepuasan pelanggan di tengah pertumbuhan industri yang terus berkembang. Kata Kunci : Pertumbuhan industri, Customer Relationship Management (CRM), PT Porta Griya Indah, algoritma K-Means Clustering, penjualan, loyalitas pelanggan, reward pelanggan, sistem aplikasi berbasis website.

Item Type: Thesis (S1)
Call Number CD: FIK/INFO. 23 170
NIM/NIDN Creators: 41519110204
Uncontrolled Keywords: Pertumbuhan industri, Customer Relationship Management (CRM), PT Porta Griya Indah, algoritma K-Means Clustering, penjualan, loyalitas pelanggan, reward pelanggan, sistem aplikasi berbasis website.
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika
500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik > 518.1 Algorithms/Algoritma
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: ADELINA HASNA SETIAWATI
Date Deposited: 31 Oct 2023 07:40
Last Modified: 31 Oct 2023 07:40
URI: http://repository.mercubuana.ac.id/id/eprint/83597

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