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All Journal Jurnal Fokus Manajemen Bisnis Jurnal Sosial dan Teknologi Jurnal Indonesia Sosial Teknologi Cerdika: Jurnal Ilmiah Indonesia Benefit : Journal of Bussiness, Economics, and Finance
Jerry Heikal
Universitas Bakrie Jakarta
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Public Health Social Sciences

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SEGMENTASI PELANGGAN MENGGUNAKAN K-MEANS CLUSTERING STUDI KASUS PELANGGAN UHT MILK GREENFIELD Ira Ariati; Reza Nugraha Norsa; Lurinjani Akhsan; Jerry Heikal
Cerdika: Jurnal Ilmiah Indonesia Vol. 3 No. 7 (2023): Cerdika : Jurnal Ilmiah Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/cerdika.v3i7.639

Abstract

Penelitian ini bertujuan untuk melakukan segmentasi pelanggan menggunakan metode K-Means Clustering dalam kasus pelanggan susu UHT Greenfield. Segmentasi pelanggan penting untuk memahami preferensi, kebutuhan, dan karakteristik pelanggan yang berbeda, sehingga perusahaan dapat mengarahkan upaya pemasaran dengan lebih efektif. Metode K-Means Clustering digunakan untuk mengelompokkan pelanggan berdasarkan atribut tertentu, seperti preferensi rasa, alamat pengiriman, dan depot penjualan. Data pelanggan Greenfield UHT Milk dikumpulkan, termasuk variabel seperti frekuensi pembelian, volume pembelian, dan preferensi rasa. Data penelitian dianalisis menggunakan analisis K-Means Clustering. Hasil penelitian dikategorikan menjadi 3 klaster, yaitu: 1. Klaster Premium : Pengiriman terbanyak ke Pamengkasan, produk terbanyak yang dibeli adalah Greenfield UHT full cream 250 ml, Meskipun kuantitas pembelian tidak terlalu tinggi, mereka menghasilkan penjualan yang signifikan, karena mereka menyukai kemasan minuman tunggal yang lebih besar yaitu 250 ml2. Cluster Sedang: Pengiriman terbanyak ke Jembrana, produk yang paling banyak dibeli adalah Greenfield UHT full cream 125 ml, Jumlah penjualan yang sedikit, produk yang dibeli dengan ukuran terkecil, membuat cluster ini memberikan penjualan terkecil di antara cluster lainnya dan mereka fokus pada harga dalam pembelian mereka3. Cluster Curah Pengiriman terbanyak ke Jember, Produk yang banyak dibeli adalah Greenfield UHT full cream 250 ml, Intensitas pembelian mereka kecil tetapi jumlah pembelian mereka sangat besar sehingga menghasilkan nilai jual yang signifikan.
Customer Segmentation With K-Means Clustering Suzuki Mobil Bandung Customer Case Study Dedi Kadarsah; Jerry Heikal
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 3 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i3.935

Abstract

In the city of Bandung, it is recorded that until February 2023 as many as 500 thousand private cars crowded the streets in the city of Bandung. People's needs for private cars are met through the purchase of new cars from dealers or used purchases. As a dealer, the main task is to meet car sales targets every month and year. Suzuki dealers, especially in Bandung, do not have solid information about what type of car is most liked by the people of Bandung, what is the background of the customers and what marketing efforts are most optimal to increase sales. Suzuki car sales data for the June-October 2023 period was analyzed as many as 165 sales from various types of cars, customer domicile, customer's proffesion and marketing efforts carried out until the purchase occurred and the choice of payment method. In this paper, a clustering analysis of the K-means method with 4 clusters with car type, customer domicile location, marketing effort, customer profession, transmission type and payment method is made. Analysis performed with IBM SPSS v.29 program.The type of Carry passenger vehicle is the choice of many Suzuki customers in Bandung and Suzuki customers mostly come from the people of Bandung and around Bandung who work as entrepreneurs and traders. Suzuki Bandung needs to maintain and improve Canvansing as an effort to acquire customers as can be seen from the analysis of customer segmentation data in this paper
Marketing Mix Strategy on Authenticity Lab Using K Means Analysis with SPSS Antoni Irawan; Gamal Stia Putra; Nandi Andrian Kurnia Putra; Jerry Heikal
Benefit: Journal of Bussiness, Economics, and Finance Vol. 4 No. 3 (2026): BENEFIT: Journal Of Business, Economics, and Finance
Publisher : Lembaga Penelitian Dan Publikasi Ilmiah (lppi) Yayasan Almahmudi Bin Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70437/benefit.v4i3.1859

Abstract

Penelitian ini bertujuan untuk melakukan segmentasi konsumen untuk menentukan target market yang paling potensial untuk Authenticity Lab dan memberikan rekomendasi terhadap strategy partnership kolaborasi yang sesuai dengan kebutuhan target market. Penelitian ini menggunakan data primer hasil transaksi penjualan merchandise eksklusif hasil kolaborasi bersama Komikazer (komukus), The Upstairs (musisi) dan Stereoflow (wall painting artist) yang dijual di toko online Authenticity Lab periode Juni 2022 yang diolah menggunakan metode Algoritma K-Means Cluster di SPSS.Berdasarkan hasil klasterisasi menghasilkan 5 kluster dimana kluster 1 merupakan target market yang paling potensial dengan persona Young Adult Music Lover. Kemudian dilakukan perancangan strategi marketing dalam bentuk marketing mix 8P untuk mendapatkan atensi dari target market secara lebih optimal
Mapping the Wuling vehicle market with K-Means Clustering: An effective digital marketing strategy Giri Teguh Ardiansyah; Muhammad Satir Hasibuan; Suhari Santosa; Jerry Heikal
Jurnal Fokus Manajemen Bisnis Vol. 14 No. 2 (2024)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/fokus.v14i2.10026

Abstract

This study focuses on Indonesia’s automotive industry sector, which is currently experiencing growth, particularly in terms of Wuling's contribution to the economy through sales. The aim is to identify customer clusters for Wuling vehicle and the marketing mix strategy after the most dominant customer cluster for Wuling vehicle. The research method used was a quantitative survey, which involved collecting data from 111 potential Wuling customer using purposive sampling and data collection through questionnaires. The analysis included an F-Test to examine the differences between clusters. The results show that the clustering of Wuling customer using the K-Means Clustering method successfully divided them into three different clusters, namely Perfectionist, Easy Going, and Beginner, with the Easy Going being the most dominant. Therefore, it is necessary to adjust marketing strategies to focus more on the needs and preferences of the Easy Going, including optimizing the use of promotion channels that have been proven effective, such as direct marketing and sales websites. Thus, this study emphasizes the importance of applying the K-Means Clustering method in automotive market segmentation, providing valuable insights for Wuling to formulate more effective and relevant marketing strategies to meet the diverse needs of customer in a dynamic market.
Analysis of Factors Causing Employee Stress in the Work Environment: A Grounded Theory Study Ricki Threezardi; Retno Dwirahmawati; Yudi Nugraha; Jerry Heikal
Jurnal Sosial Teknologi Vol. 6 No. 3 (2026): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v6i3.32755

Abstract

Background: Stress at work is a common thing for us as humans. Stress is feedback that must be passed by humans in doing a job. Objective: This study aims to deeply understand the experience of work stress in office employees of various ages and positions. Methods: Using a grounded theory approach, this research uncovered the phenomenon of work stress from the subjective perspective of the employees. Seven participants from various backgrounds were involved in in-depth interviews conducted through Google Meet and recorded using Google Docs. Data analysis resulted in the finding that work stress in office employees is influenced by various factors. Through the grounded theory method, we found that there were 25 codes, 9 categories and 4 major themes with a total score of 31. From the data, we found that the major themes that contribute to causing work stress in employees are responsibility, environment, leadership and employee rights. Results: The findings of this study can be used to develop more effective intervention programs in reducing work stress and improving employee well-being. The findings contribute to a more comprehensive understanding of the experience of work stress in the context of office work in Indonesia. The implication of this research is the need for company management to better understand the factors that cause stress for their employees. Conclusion: This research is expected to make a significant contribution to the field of human resource management and occupational health.
Co-Authors Antoni Irawan Dedi Kadarsah Gamal Stia Putra Giri Teguh Ardiansyah Ira Ariati Lurinjani Akhsan Muhammad Satir Hasibuan Nandi Andrian Kurnia Putra Retno Dwirahmawati Reza Nugraha Norsa Ricki Threezardi Suhari Santosa Yudi Nugraha