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All Journal Aptisi Transactions on Technopreneurship (ATT) Inovasi: Jurnal Ilmiah Ilmu Manajemen Dinasti International Journal of Digital Business Management Jurnal Manajemen Bisnis Eka Prasetya Journal Informatic, Education and Management (JIEM) Jurnal Scientia Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Journal of Management and Bussines (JOMB) Jurnal Sosial dan Teknologi Jurnal Studi Islam Lintas Negara (Journal of Cross-Border Islamic Studies) Jurnal Akuntansi, Manajemen Dan Ekonomi Islam (JAM-EKIS) Journal of Social And Economics Research Jurnal Multidisiplin Sahombu Jurnal Media Akademik (JMA) Adpebi Science Series Management Analysis Journal Journal of Business Economics and Management journal of social and economic research J-CEKI Menulis: Jurnal Penelitian Nusantara Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi
Jerry Heikal
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Mobile Phone Preferences Segmentation Using The K-Means Clustering in Indonesia Annisa Nurwanda Putri; Pratiwi, Pratiwi; Putri Syifa Humaira; Jerry Heikal
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 3: April 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i3.8123

Abstract

This study investigates consumer preferences for mobile phones in Indonesia using the K- Means Clustering method. Data from 114 respondents were analyzed to identify key characteristics and preferences, focusing on variables such as age, gender, income, brand, and features like storage, connectivity, design, and accessories. The results revealed six distinct clusters, each representing unique consumer segments, such as Tech-Savvy Seekers, Secure Tech Enthusiasts, Performance Prioritizers, Security-Centric Pragmatists, Style-Savvy Connectors, and Endurance Seekers. The segmentation process highlights significant differences in consumer behavior, with some clusters emphasizing high performance and advanced connectivity features, while others prioritize affordability, security, and design. Based on the STP (Segmentation, Targeting, Positioning) framework, two target segments were identified: Tech-Savvy Seekers and Endurance Seekers. These segments were selected due to their high purchasing power and strong demand for premium mobile phone features, including long battery life and powerful performance. The proposed value proposition for these target segments is "Empower Your Mobile Experience with High-End Performance and Unmatched Battery Life," emphasizing key product features that align with their preferences. Additionally, this study incorporates the 7Ps marketing mix to offer practical recommendations on product development, pricing strategies, distribution channels, promotional efforts, customer service, purchasing processes, and physical evidence. These findings provide valuable insights for businesses to develop targeted marketing strategies that better address the diverse needs of Indonesian mobile phone consumers.
Analysis of Factors Influencing Consumers in using Loyalty Rewards Programs in Indonesian Convenience Stores using Binary Logistic Regression Method Putri Syifa Humaira; Annisa Nurwanda Putri; Pratiwi, Pratiwi; Jerry Heikal
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 3: April 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i3.8124

Abstract

This research aims to analyze the factors that influence consumers in using loyalty rewards programs at minimarket retailers in Indonesia. With the backdrop of intense competition in the retail sector, loyalty rewards programs have become one of the main strategies to enhance customer loyalty. This study adopts a quantitative approach using binary logistic regression method to evaluate the influence of the Product, Price, Promotion, and Process variables from the 7P marketing concept on consumer participation. Data were obtained through an online survey of 148 respondents who are consumers of minimarkets with access to the loyalty rewards program. The analysis results show that the Price variable (represented by psychological loyalty), Promotion (represented by product information), and Process (represented by user-friendliness and repeat purchase) have a significant influence on the use of the program. The resulting regression model shows an accuracy of 81.8%, with these variables being the main predictors. The conclusion of this research emphasizes the importance of developing strategies that strengthen the emotional value of the program, optimize promotions, and simplify the program usage process to enhance the effectiveness of the loyalty rewards program. Practical recommendations include exclusive offers for loyal customers, promotions using various digital channels, and integrating the Loyalty Rewards program with digital applications or payment systems to make it easier for consumers to monitor and redeem points, in order to create sustainable added value for both customers and the company.
Cultural Wedding Rituals Among Batak Toba Millennials and Gen Z: Perceptions in the Modern Era - An Ethnographic Study Tiyanda Hanti Arum Kusuma; Rizki Agung Ramadani; Rinta Agustiani Dwiputri; Jerry Heikal
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 3: April 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i3.8140

Abstract

Indonesia has many different ethnic groups. Among them, the Batak people stand out. Batak weddings are known for being long and elaborate, but with modern times, things are changing. Modernization has made Batak wedding ceremonies more convenient and has changed the way people think, with many preferring practicality. This study explores the perspectives and experiences of the Batak community regarding the traditional Batak wedding ceremony and its relevance in modern times. A qualitative research method with an Ethnography approach was employed. Through five interview questions, the study aims to understand whether the Batak wedding rituals are perceived as challenges or advantages, whether the process remains relevant, and how individuals respond to the idea of shorter and more practical wedding ceremonies. Purposive sampling was used to select Generation Millennial and Generation Z respondents for in-depth interviews.The interview results from four respondents indicate that despite the complex and time-consuming nature of the Batak wedding rituals, the Batak community still regards them as a sacred cultural heritage. Respondents believe that the lengthy process brings benefits such as a deeper appreciation for marriage and lower divorce rates. The two generations share the same views on traditional marriage, with shared values of the sacredness of marriage and preserving cultural heritage. Overall, this study highlights the importance of preserving and passing down Batak wedding traditions while accommodating societal changes.
EVALUASI EFEKTIVITAS TEKNOLOGI AI DALAM MENINGKATKAN PERSONALISASI BELANJA DIGITAL Anjar Asmara Putra; Lucia Rainy Betari; Jerry Heikal
Jurnal Ilmiah Akuntansi, Manajemen dan Ekonomi Islam (JAM-EKIS) Vol. 8 No. 2 (2025): Jurnal Ilmiah Akuntansi, Manajemen, dan Ekonomi Islam (JAM-EKIS)
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jamekis.v8i2.8079

Abstract

This study aims to evaluate the effectiveness of Artificial Intelligence (AI) technology in personalizing digital shopping experiences. Using a mixed-method approach that combines qualitative and quantitative methods, the research examines how AI algorithms such as machine learning, data-driven product recommendations, and intelligent chatbots contribute to enhancing customer satisfaction and loyalty on e-commerce platforms. Data were collected through surveys of active e-commerce users and in-depth interviews with platform developers. The findings reveal that AI significantly improves the relevance of product recommendations, the efficiency of customer service, and overall user engagement. The study concludes that AI plays a pivotal role in shaping digital marketing strategies and supporting customer retention efforts in the contemporary digital economy.
ANALYSIS OF FACTORS AFFECTING INDOMIE INSTANT NOODLE REPURCHASE DECISIONS USING THE BINARY LOGISTIC REGRESSION METHOD Rafyon Sani; Muhammad Yusuf; Jerry Heikal
Journal of Social and Economics Research Vol 7 No 1 (2025): JSER, June 2025
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jser.v7i1.816

Abstract

Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi keputusan pembelian kembali mie instan Indomie oleh konsumen. Karena mie instan di Indonesia memiliki beberapa varian merek yang bersaing menjual produknya kepada konsumen, Indomie menjadi produk yang terkenal dan unggulan di Indonesia. Penelitian ini didasarkan pada Teori Kepuasan Pelanggan, yang menyatakan bahwa kepuasan pelanggan merupakan hasil dari perbandingan antara harapan pelanggan dengan pengalaman aktual yang dirasakan. Dimana variabel independen yang diteliti meliputi 13 variabel seperti Harga kompetitif, Toko Retail, Kemasan Menarik dan lainya. Data dikumpulkan melalui penyebaran kuesioner kepada 143 responden yang merupakan konsumen mie instan Indomie. Hasil dari penelitian dimasukkan ke dalam Microsoft Excel dan menunjukkan bahwa variabel Toko Retail dan Rekomendasi Influencer signifikan terhadap keputusan pembelian kembali mie instan Indomie. Variabel rasa memiliki pengaruh yang paling dominan, mengindikasikan bahwa cita rasa yang khas dan beragam menjadi faktor utama konsumen dalam memutuskan untuk membeli kembali produk tersebut. Sementara itu, variabel harga, ketersediaan, inovasi, dan lainnya tidak berpengaruh signifikan terhadap keputusan pembelian mie instan Indomie kembali. Penelitian ini memberikan implikasi bagi produsen mie instan Indomie untuk lebih fokus pada lokasi penjualan di berbagai platform, baik secara online maupun offline, memastikan konsumen di berbagai daerah dari kota hingga desa dapat menemukan produk di pasaran, serta menciptakan pengalaman yang menyenangkan bagi konsumen setelah membeli Indomie. Strategi pemasaran yang berfokus pada peningkatan brand awareness juga perlu dipertimbangkan untuk memperkuat dan mempertahankan posisi merek Indomie di benak konsumen. Teori Kepuasan Pelanggan mendukung pentingnya pengalaman positif konsumen dalam mendorong pembelian ulang produk Indomie. Meskipun harga dan promosi tidak berpengaruh signifikan, produsen tetap perlu memperhatikan kedua variabel tersebut agar tetap kompetitif di pasar mie instan.
MARKET SEGMENTATION ANALYSIS TO DETERMINE USER NEEDS (CASE STUDY: ONLINE TRAVEL AGENT APPLICATION IN INDONESIA USING SPSS WITH K-MEANS METHOD) Muhammad Yusuf; Rafyon Sani; Jerry Heikal
Journal of Social and Economics Research Vol 7 No 1 (2025): JSER, June 2025
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jser.v7i1.818

Abstract

Penelitian ini menganalisis segmentasi pasar pengguna aplikasi agen perjalanan online menggunakan metode K-Means Clustering dengan SPSS. Responden terdiri dari 103 konsumen dengan variabel seperti usia, jenis kelamin, pekerjaan, pendapatan, frekuensi penggunaan aplikasi, dan preferensi layanan. Hasil analisis menghasilkan tujuh segmen utama: Pengusaha Mandiri, Profesional Perkotaan, Mahasiswa Ekonomis, Wirausaha Berpenghasilan Tinggi, Petualang Hemat, Traveler Keluarga, dan High-Class Executive. Segmentasi berbasis data ini memberikan wawasan strategis bagi pengembang aplikasi perjalanan online untuk merancang strategi pemasaran yang lebih efektif, seperti promosi khusus dan paket perjalanan yang disesuaikan. Penelitian ini berkontribusi pada pengembangan strategi pemasaran digital di sektor aplikasi perjalanan dengan memahami kebutuhan pengguna. Selain itu, penelitian ini membuktikan efektivitas K-Means Clustering dalam segmentasi pasar konsumen ritel dan memberikan rekomendasi pemasaran yang lebih tepat sasaran. Sebagai strategi utama, penelitian ini menargetkan profesional perkantoran untuk promosi paket wisata menarik seperti bundling reservasi hotel, transportasi, dan tiket wisata, berdasarkan kebiasaan mereka menyisihkan dana secara rutin. Temuan ini dapat menjadi dasar bagi penelitian lanjutan dalam meningkatkan pengalaman pengguna dan loyalitas pelanggan di industri perjalanan digital.
ANALYSIS OF FACTORS AFFECTING INDOMIE INSTANT NOODLE REPURCHASE DECISIONS USING THE BINARY LOGISTIC REGRESSION METHOD Rafyon Sani; Muhammad Yusuf; Jerry Heikal
Journal of Social and Economics Research Vol 7 No 1 (2025): JSER, June 2025
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jser.v7i1.816

Abstract

Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi keputusan pembelian kembali mie instan Indomie oleh konsumen. Karena mie instan di Indonesia memiliki beberapa varian merek yang bersaing menjual produknya kepada konsumen, Indomie menjadi produk yang terkenal dan unggulan di Indonesia. Penelitian ini didasarkan pada Teori Kepuasan Pelanggan, yang menyatakan bahwa kepuasan pelanggan merupakan hasil dari perbandingan antara harapan pelanggan dengan pengalaman aktual yang dirasakan. Dimana variabel independen yang diteliti meliputi 13 variabel seperti Harga kompetitif, Toko Retail, Kemasan Menarik dan lainya. Data dikumpulkan melalui penyebaran kuesioner kepada 143 responden yang merupakan konsumen mie instan Indomie. Hasil dari penelitian dimasukkan ke dalam Microsoft Excel dan menunjukkan bahwa variabel Toko Retail dan Rekomendasi Influencer signifikan terhadap keputusan pembelian kembali mie instan Indomie. Variabel rasa memiliki pengaruh yang paling dominan, mengindikasikan bahwa cita rasa yang khas dan beragam menjadi faktor utama konsumen dalam memutuskan untuk membeli kembali produk tersebut. Sementara itu, variabel harga, ketersediaan, inovasi, dan lainnya tidak berpengaruh signifikan terhadap keputusan pembelian mie instan Indomie kembali. Penelitian ini memberikan implikasi bagi produsen mie instan Indomie untuk lebih fokus pada lokasi penjualan di berbagai platform, baik secara online maupun offline, memastikan konsumen di berbagai daerah dari kota hingga desa dapat menemukan produk di pasaran, serta menciptakan pengalaman yang menyenangkan bagi konsumen setelah membeli Indomie. Strategi pemasaran yang berfokus pada peningkatan brand awareness juga perlu dipertimbangkan untuk memperkuat dan mempertahankan posisi merek Indomie di benak konsumen. Teori Kepuasan Pelanggan mendukung pentingnya pengalaman positif konsumen dalam mendorong pembelian ulang produk Indomie. Meskipun harga dan promosi tidak berpengaruh signifikan, produsen tetap perlu memperhatikan kedua variabel tersebut agar tetap kompetitif di pasar mie instan.
MARKET SEGMENTATION ANALYSIS TO DETERMINE USER NEEDS (CASE STUDY: ONLINE TRAVEL AGENT APPLICATION IN INDONESIA USING SPSS WITH K-MEANS METHOD) Muhammad Yusuf; Rafyon Sani; Jerry Heikal
Journal of Social and Economics Research Vol 7 No 1 (2025): JSER, June 2025
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jser.v7i1.818

Abstract

Penelitian ini menganalisis segmentasi pasar pengguna aplikasi agen perjalanan online menggunakan metode K-Means Clustering dengan SPSS. Responden terdiri dari 103 konsumen dengan variabel seperti usia, jenis kelamin, pekerjaan, pendapatan, frekuensi penggunaan aplikasi, dan preferensi layanan. Hasil analisis menghasilkan tujuh segmen utama: Pengusaha Mandiri, Profesional Perkotaan, Mahasiswa Ekonomis, Wirausaha Berpenghasilan Tinggi, Petualang Hemat, Traveler Keluarga, dan High-Class Executive. Segmentasi berbasis data ini memberikan wawasan strategis bagi pengembang aplikasi perjalanan online untuk merancang strategi pemasaran yang lebih efektif, seperti promosi khusus dan paket perjalanan yang disesuaikan. Penelitian ini berkontribusi pada pengembangan strategi pemasaran digital di sektor aplikasi perjalanan dengan memahami kebutuhan pengguna. Selain itu, penelitian ini membuktikan efektivitas K-Means Clustering dalam segmentasi pasar konsumen ritel dan memberikan rekomendasi pemasaran yang lebih tepat sasaran. Sebagai strategi utama, penelitian ini menargetkan profesional perkantoran untuk promosi paket wisata menarik seperti bundling reservasi hotel, transportasi, dan tiket wisata, berdasarkan kebiasaan mereka menyisihkan dana secara rutin. Temuan ini dapat menjadi dasar bagi penelitian lanjutan dalam meningkatkan pengalaman pengguna dan loyalitas pelanggan di industri perjalanan digital.
Exploring the Staycation Phenomenon After COVID-19: A Grounded Theory Approach Desy Maya Indriana; Indah Nur Syamsi Aguston; Maysheilla Chandra; Jerry Heikal
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 4: Juni 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i4.8550

Abstract

The staycation phenomenon has received significant attention in recent years, especially during the pandemic, as more and more people choose to spend their free time close to home. However, the staycation phenomenon does not necessarily disappear when the pandemic ends, as many people, especially urban dwellers, still choose to do staycations as an alternative vacation. The continuous interest in staycations underscores the need for a deeper exploration of the motivations, experiences, and implications associated with this recreational trend. Therefore, this research employs a grounded theory approach to delve into aspects of the staycation phenomenon, aiming to provide a comprehensive understanding of its dynamics and impacts. Researchers conducted direct interviews with several millennial participants (aged 27 – 37 years old), seeking to uncover the fundamental factors driving individuals’ decisions to choose staycations. By elucidating the determinants of staycation choice, this study is expected to contribute to the fields of recreation studies, and tourism, and provide fresh insights that can be utilized by the hospitality industry or related associations to enhance their services, thus ensuring that staycations remain a sustainable and inclusive recreational option for diverse populations. Based on the research results, the researchers obtained coding results of 42 from 9 respondents which were then classified into 19 categories and 13 themes: Location, Reviews, Price, Facility, Services, Proximity to the culinary / souvenir area, Healing, Cozy Place, Quality, Activity in Hotel, Me-time, Looking for New Atmosphere, Bonding. The highest scores that drive individual decisions in choosing a staycation is Healing.
Customer Segmentation Using K-Means Clustering on Top of 4 Platform Streaming in Indonesia Syakina, Syakina; Jerry Heikal
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 4: Juni 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i4.8584

Abstract

Platform streaming adalah layanan media yang ditawarkan langsung kepada penonton melalui Internet. Layanan streaming biasanya dapat diakses melalui situs web di komputer pribadi, serta melalui aplikasi di perangkat seluler (seperti ponsel pintar dan tablet), pemutar media digital (termasuk konsol permainan), atau televisi dengan platform Smart TV terintegrasi. Youtube, Netflix, Disney+, dan Viu merupakan 4 platform streaming yang paling sering digunakan oleh masyarakat Indonesia. Tujuan penelitian ini untuk mengetahui segmentasi pengguna platform streaming berdasarkan preferensi, karakteristik, dan rekomendasi paket langganan yang sering digunakan. Metode K-Means Clustering digunakan untuk mengelompokkan pengguna platform streaming berdasarkan atribut tertentu, seperti preferensi film, aspek prilaku pengguna, dan kenyamanan dari paket langganan yang ditawarkan. Jumlah responden pada penelitian ini 107 orang yang tersebar di seluruh Indonesia, dimana data yang diperoleh 3 cluster yang memiliki persona dengan karakteristik dan preferensi yang berbeda. Hasil dari penelitian ini menunjukan 3 cluster yang berbeda yaitu Middle Productive Age of Netflix User, Early Productive Age of Viu User, dan Middle Productive Age of Disney+ User. Walaupun Cluster 1: Middle Productive Age of Netflix User bukanlah cluster terbesar yang hanya memiliki nilai 31% dari total populitas akan tetapi Netflix dapat menargetkan cluster 1 dan melakukan positioning seperti menyesuaikan keinginan dari cutomer yaitu mengembangkan paket langganan loyalitas serta menggunakan online platform dalam melakukan marketing.
Co-Authors Abhiyoga Deyandra Putra Achmad Ichsan Adevi, Isye Rahayu Adhy Priyo Adi Setiawan Aditya Rachman Zarkasih ADRIAN PRATAMA Agung Ibrahim Agung Pribadi Agus Sugiono Ahmad Ilham Bachrie Harahap Alex Fernando Hasahatan Ali Sudrajat Andara Rahma Danurisa Anggini, Dewi Anjar Asmara Putra Annisa Liestiani Annisa Nurwanda Putri Antoni Irawan AYU WULANDARI Bachrie Harahap, Ahmad Ilham Bambang Permadiyansach Berman J Hutabarat Budiyanto Hariandja Desy Maya Indriana Dewi Anggini Dewi Lisdayanti Dimas Hindrawan Doni Magat Harahap Dzaki Zakaria E. N. Budiyanto Hariandja Edoward N. Budiyanto Elisa Purnawati Elja Salwa Enny Enny Erni Susanty Erwan Hendrawan Fajar Hartanto Siswanto Fajar Kristianto Fanjili Gratia Mamonto Fetri Nelfa Ganang Kartiko Aji Gilang Kharisma Ramadhan Ibrahim Gulfi Oktariani Heidi Yanti Anggraeni Putri Helga Meilany Ign Agus Supriyono Indah Nur Syamsi Aguston Irma Nur Wanty Isfan Ferli jeffry kurniawan Lisdayanti, Dewi Lisdyanto Lucia Rainy Betari Marc Giulio Richard Marlina Maysheilla Chandra Mega Yunita Gayo Metta Karunia Michael Milastri Muzakkar Moh Masnur Monica Pongsibidang Mufti Kusuma Firdaus Muhammad Feyzel Khalfani Putra Ardanesworo Muhammad Ikhsan Nurseha MUHAMMAD YUSUF Mutia Karunia Antap Wulan Nandi Andrian Kurnia Putra Nayla Azkia Oci Citra Maharani Panka Gumilang Pratama Hadi Saputra Pratama, Renaldo Pratiwi Pratiwi Pratiwi Putri kirana Putri Syifa Humaira Raden Maart Adi Waskita Tjahjono Rafyon Sani Rayuli Wulandari Resman Yohanes Dolok Saribu Resman Yohanes Doloksaribu Retno Santoro Richard, Marc Giulio Rifko Sinaga Rinta Agustiani Dwiputri Riri Yunita Rivelino, Deva Rizki Agung Ramadani Rizky Feliana Devi Rudi Setiari samsul arifin Sari Riyani Satriya Perdana Savira Nurviriana Sayuti Shera Fanesha Siti Wulansari Sri Polya Kettipusem Susan Ratna Susan Ratna Salim Susi Suheni Suududdin, Suududdin Syakina Syakina, Syakina Tika Aldyah Tiyanda Hanti Arum Kusuma Vitto Rialialie Zahwa Nur Syahda Zahwa Nursyahda