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Journal : Majalah Ilmiah METHODA

Eksplorasi Penerapan Digital Community Oleh PT Ace Hardware Indonesia: Studi Kasus Meningkatkan Interaksi dan Loyalitas Kota Banjarmasin Linda, Linda; Agustina, Melisa; Maisarah, Maisarah; Medina, Gita; Anisa, Nor
Majalah Ilmiah METHODA Vol. 15 No. 1 (2025): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol15No1.pp85-92

Abstract

This study aims to analyze the implementation of digital community strategies by PT Ace Hardware Indonesia to enhance customer interaction and loyalty through a case study in Banjarmasin City. In the digital era, an active customer community has become a critical strategic asset for companies to build long-term relationships with consumers. This research employs a qualitative approach through in-depth interviews with company representatives to explore how digital platforms, such as mobile applications, social media, and loyalty programs, are effectively utilized. The findings indicate that PT Ace Hardware Indonesia adopts interactive content campaigns, exclusive discounts, and personalized features to boost customer engagement. Additionally, the established digital community enables customers to discuss, share experiences, and provide valuable feedback, indirectly strengthening brand loyalty. With consistent implementation, the company successfully expands its market share while creating an enhanced customer experience. This study provides practical insights for other companies seeking to integrate digital community strategies as part of their marketing efforts and customer relationship management in a technology-driven environment.
Penerapan Algoritma K-Means Berbasis RapidMiner pada Analisis Distribusi Air Bersih di Indonesia Agustina, Melisa; Anisa, Nor
Majalah Ilmiah METHODA Vol. 15 No. 1 (2025): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol15No1.pp43-49

Abstract

This study aims to analyze the distribution pattern of clean water, identify the largest production capacity, and examine the distribution of the highest number of customers of clean water companies in several provinces in Indonesia using the K-Means algorithm. The data used includes distribution of delivery, potential production capacity (liters per second), and the number of customers of clean water companies across various provinces in Indonesia. The K-Means method is applied to cluster provinces based on the similarity of distribution patterns, production capacity, and customer numbers. The analysis results reveal significant clustering, where certain provinces have high clean water production capacity and a large number of customers, with the volume of water distributed matching the production capacity. These findings indicate a good balance between production capacity, the number of customers, and the volume of water distribution. This study focuses on the analysis of clean water distribution, the largest production capacity, and customers of clean water companies in various provinces in Indonesia. The insights gained can assist companies in designing more efficient distribution strategies to optimally meet customers needs across different regions. This contributes to the sustainable and equitable management of clean water resources.