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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 IIJSE Al-Zayn: Jurnal Ilmu Sosial & Hukum 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
Unknown Affiliation
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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Journal : J-CEKI

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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.
Renewal Prediction For Individual Property Insurance Using Binary Logistic Regression in PT XYZ Insurance Mutia Karunia Antap Wulan; Bambang Permadiyansach; Suududdin, Suududdin; Jerry Heikal
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 5: Agustus 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i5.11424

Abstract

Individual property insurance is a crucial product that offers financial protection for personal assets such as residential buildings, commercial properties, and private dwellings against risks such as fire, theft, and natural disasters. However, retaining customers and encouraging the renewal of policies continues to be a critical challenge in the insurance industry. This study aims to predict renewal decisions of individual property insurance policyholders at PT XYZ Insurance using a binary logistic regression model and to identify key factors that influence these decisions. The model was built using 178 policyholder records and evaluated several independent variables, including premium, discount, and admin cost. The analysis indicates that discount and admin cost are statistically significant in influencing renewal behavior. Discount, with a p-value of 0.034, shows a negative relationship suggesting that higher discounts may reduce the likelihood of renewal. On the other hand, admin cost, with a p-value of 0.053, shows a positive association, indicating that higher operational spending may contribute to increased renewal probability. The premium variable was found to be statistically insignificant in this model. These findings underline the importance of pricing strategy and cost structure in influencing customer retention. The study provides practical implications for insurance companies to refine their marketing and pricing strategies, particularly by reassessing discount allocation and expense effectiveness. Future research may incorporate demographic, behavioral, and regional variables to enhance the robustness and accuracy of renewal prediction in the property insurance domain.
Ethnography of Working Mothers’ Struggles And Strategies In The Digital Economy In Childcare Susan Ratna; Dewi Lisdayanti; Dewi Anggini; Jerry Heikal
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 6: Oktober 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i6.11291

Abstract

Penelitian ini akan membahas sebuah studi etnografi yang fokus pada perjuangan dan strategi yang dihadapi oleh ibu yang bekerja namun tetap mengasuh anak dengan memanfaatkan ekonomi digital. Melalui penggunaan metode etnografi, dengan teknik pengumpulan data yang diterapkan adalah wawancara satu lawan satu dengan menggunakan metode purposive sampling dengan kriteria informan berjumlah 4 orang di Jabodetabek, berjenis kelamin perempuan dengan usia 25-50 tahun, memiliki anak yang berusia 0-17 tahun, sudah bekerja lebih dari 3 tahun, dan memiliki maksimal 3 anak. Penelitian ini bertujuan untuk memahami share paint value dari struggle yang dihadapi oleh ibu yang bekerja dalam lingkungan ekonomi digital. Jenis platform ekonomi digital yang digunakan oleh keempat informan adalah media social, financial technology dan E-Commerce khususnya dalam konteks pengasuhan anak-anak. Dari hasil penelitian ini maka didapatkan share paint value berdasarkan struggle yang dialami keempat informan tersebut yaitu adaptability, discrepancy, quality awareness, continuous learning, dan peneliti memberikan rekomendasi strategi yaitu menyiapkan dan menggunakan beberapa platform/aplikasi yang ada di setiap jenis ekonomi digital, membaca dengan teliti produk atau jasa yang ingin dibeli, melihat review, dan membeli di official store, menambah pengetahuan dan aware terhadap perkembangan teknologi di bidang pendidikan untuk mendapatkan jenis dan metode pembelajaran baru.
Credit Card Customer Churn Prediction With Binary Logistic Regression Enny, Enny; Pratama, Renaldo; Alex Fernando Hasahatan; Jerry Heikal
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 6: Oktober 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i6.11772

Abstract

The increasing prevalence of credit card usage in Indonesia has brought significant benefits to the national economy but also presents challenges for the banking industry, particularly regarding customer churn. This research aims to analyze the factors influencing credit card customer churn using the Binary Logistic Regression method. Utilizing a dataset of 5,000 entries from Kaggle, the research incorporates demographic and behavioral variables such as age, marital status, product ownership, inactivity periods, and transaction patterns. Data preprocessing steps included handling missing values, encoding categorical variables, and feature scaling. The model was trained with 80% of the data and tested on 20%, with variable selection based on p-values (< 0.05). The results indicate that eight key factors significantly affect churn likelihood, including number of dependents, marital status, number of products, inactive months, number of contacts, total transactions, transaction count, and the ratio of Q4 to Q1 transaction amounts. The model achieved an accuracy of 87.10%, demonstrating strong predictive performance, especially for non-churn cases. These findings suggest that classical statistical approaches remain effective for churn prediction when supported by comprehensive data processing and relevant variable selection. The study contributes valuable insights for financial institutions to develop targeted retention strategies and enhance customer loyalty.
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 Andi Mardhotilla 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 Diny Claudia 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 Nurul Intan Permanasari Oci Citra Maharani Panka Gumilang Ponjo Utomo 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 Tampi, Mia Tika Aldyah Tiyanda Hanti Arum Kusuma Vitto Rialialie Zahwa Nur Syahda Zahwa Nursyahda