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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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Identifying Key Drivers of Repurchase Intentions for Sari Roti Products Using Binary Logistic Regression Analysis Annisa Liestiani; Ayu Wulandari; E. N. Budiyanto Hariandja; 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.v4i4.8716

Abstract

This study aims to analyze various factors that influence the repurchase decision of Sari Roti products. The method used in this research is binary logistic regression using the SPSS tool. A sample of 156 consumers was randomly selected. Data was collected through a survey filled out by 156 Sari Roti consumers. The survey results were entered into Microsoft Excel and then normalized. For Independent Variable and Dependent Variable data in the form of text "Yes" or "No", it will be converted into binary numbers, meaning it is represented by the numbers 1 (one) and 0 (zero). Independent Variable data consists of Durability, Reliable Quality, Well-Known Brand, Prestigious Brand, Interested In New Flavors, New And Innovative Products, Sufficiently Many Variants, Affordable Price, Competitive Price, Price Matches The Quality, Value For Money, Promotion Via Facebook, Promotion Via Instagram, Promotion Via Twitter, Promotion Via YouTube, and Promotion Via Website, Influencer Recommendation, Family Recommendation, Friend Recommendation, Good Memory Or Experience, Easily Accessible Store Location, Always Available, Satisfied With Customer Service, Good Reputation, Easy-To-Remember Brand, Good Packaging Condition. While, the Dependent Variable is the Repurchase Intentions. From the research results, it can be concluded that the factors that significantly influence the repurchase decision are Prestigious Brand, Sufficiently Many Variants, and Affordable Price. Other variables do not significantly affect the decision to repurchase Sari Roti products. Based on the binary logistic regression analysis of 156 Sari Roti consumers, it was predicted that 140 consumers would repurchase, and 16 consumers would not, with a data accuracy of 83.3%.
Identifying Customer Segmentation and Persona of Online Transportation Companies in Jabodetabek Using K-Means Clustering Analysis for a More Effective Marketing Strategy E. N. Budiyanto Hariandja; Annisa Liestiani; Ayu Wulandari; 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.v4i4.8717

Abstract

The demand for online transportation services in Jabodetabek has surged in recent years, driven by urbanization and the need for efficient mobility. This study aims to identify market segmentation through clustering, enabling online transportation companies to uncover detailed consumer personas and develop precise value propositions. Data was collected from 413 respondents via an online survey within the Jabodetabek area and processed with KNIME software. The analysis identified three (3) distinct user groups/clusters: The Minimum Budget Conscious Users, Value-Seeking Occasional Users, and The Established Loyalist Gentleman. Among these, The Established Loyalist Gentleman, characterized by higher income levels and frequent service usage, emerged as the ideal target segment. To attract this segment, personalized marketing strategies focusing on part of the 4Ps marketing mix are proposed. Key initiatives include Comfort and Safety Assurance, offering premium vehicles that are safe, clean, and well-maintained, along with professional drivers for a superior travel experience. Enhanced App Features include advanced safety tools like real-time trip tracking, emergency buttons, and driver identity verification to increase user trust. Ease of Booking ensures a user-friendly app interface with one-click booking and saved routes for convenience. Flexible payment methods and Special Premium Services, such as exclusive discounts for frequent or long-distance trips, further enhance loyalty. These strategies cater to the preferences of this high-value segment, fostering stronger engagement and driving long-term growth in the competitive online transportation market.
Customer Segmentation Using K-Means Clustering Analysis (Case Study on Amazon Prime Video Userbase) Heidi Yanti Anggraeni Putri; Pratama Hadi Saputra; Resman Yohanes Doloksaribu; 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.v4i4.8860

Abstract

Layanan streaming Amazon Prime Video telah berkembang secara signifikan dan telah menjadi salah satu pemain kunci dalam industri streaming yang kompetitif. Penelitian ini bertujuan untuk menjelaskan tren dan pola mendasar yang membentuk kesuksesan Amazon Prime Video dalam menghadapi tantangan industri. Dengan mengelompokkan pelanggan berdasarkan perilaku dan preferensi mereka, penelitian ini akan memberikan wawasan mendalam mengenai cara memenuhi kebutuhan spesifik setiap segmen. Dengan memahami preferensi dan perilaku pengguna, Amazon Prime Video dapat merancang strategi konten yang lebih terarah dan relevan. Penelitian ini menggunakan dataset Amazon Prime Userbase yang terdiri dari 2.500 responden untuk mengidentifikasi segmen pasar melalui analisis cluster K-means. Hasilnya, empat cluster pelanggan yang berbeda teridentifikasi: Cluster 1 (Mid-age Female User), Cluster 2 (Senior Male User), Cluster 3 (Young Male User), dan Cluster 4 (Senior Female User). Cluster 1, yang didominasi oleh wanita berusia 36-49 tahunyang didominasi oleh wanita berusia 36-49 tahun dan memiliki aktivitas interaksi tertinggi, kami pilih sebagai target segmen pasar yang utama bagi Amazon Prime Video. Cluster ini menunjukkan preferensi yang kuat terhadap genre drama dan aksi serta penggunaan perangkat Smart TV dan smartphone, menciptakan peluang untuk meningkatkan pengalaman menonton yang berkualitas tinggi. Value proposition yang diusulkan mencakup penambahan konten eksklusif, pengembangan fitur interaktif seperti komentar real-time, program loyalitas untuk pengguna aktif, serta acara nonton bersama dan kampanye media sosial yang meningkatkan keterlibatan. Menyasar Cluster 1 dapat memperkuat posisi Amazon Prime Video dalam mengadaptasi layanan yang relevan dan personal bagi pelanggan, sekaligus memberikan wawasan untuk penelitian lebih lanjut dalam memahami perilaku konsumen dalam segmen ini. Penelitian ini diharapkan dapat memberikan kontribusi bagi Amazon Prime Video terhadap strategi pemasaran yang lebih efektif dan peningkatan kepuasan pelanggan di industri streaming yang kompetitif.
An Ethnography Study Of Shared Values Woman As Mining Blast Engineer Pratama, Renaldo; Enny, Enny; Alex Fernando Hasahatan; 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.v4i4.9043

Abstract

This research examines the shared values of women working as mining blast engineers in the mining industry. Through a qualitative approach with a realist ethnographic design, this study analyzes the experiences, perspectives, and adaptation strategies of three female mining blast engineers. The shared values owned by the respondents before entering the blast engineer job are independent character, confidence, courage, toughness, assertiveness, strong faith, respect, professionalism and trustworthiness. Pain values include long work schedules, distant work locations, male-dominated work environments, and fatigue due to work and field conditions. Meanwhile, the shared values formed from these pain values are characters who are brave, tough, assertive, respectful, environmentally sound, professional and trustworthy. These values enable them to adapt, survive and thrive in their field of work. The research also found that the implementation of gender diversity policies has a positive impact on the availability of a safe and conducive working atmosphere and environment. This policy allows all workers, regardless of gender, to have the same duties and responsibilities. It also has an impact on more conducive internal and external work processes, with a focus on work processes and outcomes, rather than on who is working on the project. This research concludes that women have great potential to become mining blast engineers in the mining industry. And the wider implementation of gender diversity policies in mining companies can help create a more inclusive work environment and encourage women's participation in important positions such as mining blast engineer.
Valuation Model For The Merger & Acquisition Of PT Bank Pembangunan Daerah Banten Tbk (BEKS) Raden Maart Adi Waskita Tjahjono; Isfan Ferli; Jerry Heikal
Journal Informatic, Education and Management (JIEM) Vol 7 No 2 (2025): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v7i2.135

Abstract

Merger and acquisition of a banking company are generally understood as efforts to improve the company by combining strengths or balancing the weaknesses of one company with the strengths of another. To face the dynamics of the domestic and global economy and information technology, it is necessary to strengthen the structure, resilience, and competitiveness of the national banking industry, which can be achieved by strengthening bank capital and banking consolidation in Indonesia, especially Regional Development Banks. To encourage the stability of the banking industry, particularly the strengthening of individual banks, the merger and acquisition strategy in the form of banking consolidation needs to be considered. Banking consolidation policy is one of the policy options taken by regulators to strengthen the stability of the financial system. This study aims to determine the appropriate transaction structure and price for PT Bank Pembangunan Daerah Banten Tbk (BEKS). This research uses quantitative and descriptive analysis of the financials of PT Bank Pembangunan Daerah Banten Tbk (BEKS) using the Free Cash Flow to the Firm (FCFF), Liquidation and Accounting Valuation, and Relative Valuation methods. The results project significant growth for the company over five years. The equity value per share of BEKS is Rp 14,89 compared to the market share price of Rp 23, indicating overvaluation. The acquiring company needs to carefully reconsider BEKS prospects and negotiate the price before proceeding with the acquisition process.
SEGMENTASI PENGGUNA APLIKASI MOBILE DAN TV STREAMING MENGGUNAKAN ANALISIS CLUSTERING K-MEANS DENGAN PYTHON: STUDI KASUS PENGGUNA DI PULAU JAWA Jeffry Kurniawan; Lisdyanto; Ali Sudrajat; 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.v7i1.900

Abstract

Penelitian ini bertujuan untuk mengidentifikasi segmentasi pengguna layanan streaming digital berbasis Aplikasi Mobile Android dan Android-TV di wilayah pulau Jawa dan sekitarnya. Metode penelitian menggunakan kusioner online. Data dikumpulkan melalui survey dan diproses menggunakan K-Means clustering menggunakan olah data Pyton, melalui kurang lebih 200 orang responden pengguna aplikasi streaming mobile android-TV. Berdasarkan hasil analisis menghasilkan lima persona utama: Movie Lovers, Religi Family Streamer, Big Screen Lover, Esport Mobile Fan, Local Budget Viewer. Masing-masing persona mencerminkan preferensi terhadap pengeluaran bulanan untuk entertaiment, pengelompokan usia, Gender, waktu yang dihabiskan untuk menonton streaming dalam satu minggu, Jenis layanan streaming yang diminati VOD/ Linear- Channel, kategori konten yang disukai, Jumlah TV yang dimiliki, dan kesukaan menonton pada TV atau smartphone. Segmentasi pada penelitian ini menunjukkan bahwa terdapat 88 orang responden masuk ke dalam target segmen Big Screen Lover dengan value preposition pembuatan product yang diselaraskan dengan segmentasi yang terbentuk. Temuan ini, menekankan pentingnya strategi pemasaran yang ditargetkan dan disesuaikan dengan kebutuhan dan keinginan spesifik dari masing-masing segmen yang terbentuk. Dengan memanfaatkan Informasi dari penelitian ini, diharapkan bisa digunakan bagi Perusahaan yang bergerak pada bidang Aplikasi Streaming Mobile dan Android-TV agar bisa mengoptimalkan produk atau paket yang akan ditawarkan, sesuai dengan kemampuan daya beli konsumen, serta juga bisa merekomendasikan konten yang akan disajikan dalam aplikasi, dan mengetahui platform mana yang paling disukai (Android- Mobile atau Android-TV).
SEGMENTASI PENGGUNA APLIKASI MOBILE DAN TV STREAMING MENGGUNAKAN ANALISIS CLUSTERING K-MEANS DENGAN PYTHON: STUDI KASUS PENGGUNA DI PULAU JAWA Jeffry Kurniawan; Lisdyanto; Ali Sudrajat; 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.v7i1.900

Abstract

Penelitian ini bertujuan untuk mengidentifikasi segmentasi pengguna layanan streaming digital berbasis Aplikasi Mobile Android dan Android-TV di wilayah pulau Jawa dan sekitarnya. Metode penelitian menggunakan kusioner online. Data dikumpulkan melalui survey dan diproses menggunakan K-Means clustering menggunakan olah data Pyton, melalui kurang lebih 200 orang responden pengguna aplikasi streaming mobile android-TV. Berdasarkan hasil analisis menghasilkan lima persona utama: Movie Lovers, Religi Family Streamer, Big Screen Lover, Esport Mobile Fan, Local Budget Viewer. Masing-masing persona mencerminkan preferensi terhadap pengeluaran bulanan untuk entertaiment, pengelompokan usia, Gender, waktu yang dihabiskan untuk menonton streaming dalam satu minggu, Jenis layanan streaming yang diminati VOD/ Linear- Channel, kategori konten yang disukai, Jumlah TV yang dimiliki, dan kesukaan menonton pada TV atau smartphone. Segmentasi pada penelitian ini menunjukkan bahwa terdapat 88 orang responden masuk ke dalam target segmen Big Screen Lover dengan value preposition pembuatan product yang diselaraskan dengan segmentasi yang terbentuk. Temuan ini, menekankan pentingnya strategi pemasaran yang ditargetkan dan disesuaikan dengan kebutuhan dan keinginan spesifik dari masing-masing segmen yang terbentuk. Dengan memanfaatkan Informasi dari penelitian ini, diharapkan bisa digunakan bagi Perusahaan yang bergerak pada bidang Aplikasi Streaming Mobile dan Android-TV agar bisa mengoptimalkan produk atau paket yang akan ditawarkan, sesuai dengan kemampuan daya beli konsumen, serta juga bisa merekomendasikan konten yang akan disajikan dalam aplikasi, dan mengetahui platform mana yang paling disukai (Android- Mobile atau Android-TV).
Analisis Segmentasi untuk Menentukan Kebutuhan Sumber Daya Manusia Di Bidang Tenaga Kerja Outsourcing Industri Pengiriman dengan Menggunakan Metode K-MEANS Ganang Kartiko Aji; Ahmad Ilham Bachrie Harahap; Mufti Kusuma Firdaus; Jerry Heikal
Journal of Management and Bussines (JOMB) Vol. 7 No. 4 (2025): Journal of Management and Bussines (JOMB)
Publisher : IPM2KPE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/cpvx3q57

Abstract

This study aims to identify the segmentation of outsourced workforce needs in the shipping industry to support a more effective recruitment strategy at PT FOC Indonesia. The research method used is K-Means Clustering, with a secondary data analysis approach from 120 workers categorized by age, marital status, job title, and country of employment. The results indicate seven main workforce clusters, each representing specific personas such as Experienced Captains, Engineers, and Electrical Specialists, as well as market preferences such as Korea, Japan, and China. The conclusion of this study is that data-driven workforce segmentation can assist companies in developing recruitment strategies, reducing turnover, and increasing the efficiency and competitiveness of the Indonesian workforce in the global market.   Keywords: K-Means, Workforce Segmentation, Shipping Industry, Outsourcing, Manning Agency
Perubahan Perilaku Pola Pinjaman akibat Pinjaman Fintech Online Menggunakan Grounded Theory Mufti Kusuma Firdaus; Ganang Kartiko Aji; Ahmad Ilham Bachrie Harahap; Jerry Heikal
Journal of Management and Bussines (JOMB) Vol. 7 No. 4 (2025): Journal of Management and Bussines (JOMB)
Publisher : IPM2KPE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/z4c8ja37

Abstract

This study aims to examine behavioral changes in people's borrowing patterns due to the use of fintech-based online lending services. The research method used was a qualitative approach with grounded theory techniques through in-depth interviews with six respondents consisting of online loan users, lenders, and financial experts, using a snowball sampling technique. The results indicate that behavioral changes are influenced by three main factors: mental health, social impact, and external factors, with external factors such as ease of access, dependency, and utilization of funds having the most dominant influence. The conclusion of this study is that fintech online lending services have shaped consumer behavior patterns and financial dependency in users, primarily due to easy access and minimal financial literacy. Therefore, stronger education and regulation are needed to minimize these negative impacts.   Keywords: Fintech, Behavior Change, Online Lending, Grounded Theory
Segmentasi Pelanggan berdasarkan RFM sebagai Dasar Strategi Pemasaran Studi Kasus di PT Five Ocean Indonesia terhadap Permintaan Tenaga Kerja Maritim Bachrie Harahap, Ahmad Ilham; Ganang Kartiko Aji; Mufti Kusuma Firdaus; Jerry Heikal
Journal of Management and Bussines (JOMB) Vol. 7 No. 4 (2025): Journal of Management and Bussines (JOMB)
Publisher : IPM2KPE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/cs7vg202

Abstract

This study aims to analyze PT Five Ocean Indonesia's partner segmentation in meeting maritime workforce needs as a basis for developing data-driven marketing strategies. The research method used a quantitative approach using the RFM (Recency, Frequency, Monetary) technique and data processing using SPSS. The results indicate that the company's partners can be categorized into three main segments: Best Customers, Potential Customers, and Potential Customers, based on their RFM scores. Most partners fall into the medium transaction value and medium request frequency categories, while only a small percentage consistently contribute high volumes. The study concludes that the RFM method is effective in identifying partner behavior and supporting the company in designing retention, reactivation, and market development strategies to increase competitiveness and business desirability in the maritime workforce industry.   Keywords: Partner Segmentation, Maritime Workforce, Data-Driven Marketing Strategy
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