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PREDICTION OF BOND PLANNING BASED ON CUSTOMER CHARACTERISTICS IN INDONESIA USING THE RANDOM FOREST ALGORITHM Hendra Achmadi
Proceeding National Conference Business, Management, and Accounting (NCBMA) 8th National Conference Business, Management, and Accounting
Publisher : Faculty of Economics and Business Universitas Pelita Harapan

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Abstract

This research aims to identify industries receptive to wealth management products like bond insurance and to pinpoint the key factors influencing bond insurance premium closures. Given Indonesia's low life insurance penetration and density compared to other Asian countries, the study uses a purposive sample of 199 data points from 38 companies across various industries. This research found that the most influential factors in bond purchases are domicile, the second car, industry type, job position , housing type . The methodology that is used in this research is called CRIPS-DM (Cross Industrial Standards Program Data Mining). The first steps what is the purpose of the organization, and the second is what data that needed, and then continue to data preparation, after that modeling, after modeling, it will make an interpretation of the result, and the final steps is deployment, it will plan how it will be implemented in the real world, and the accuracy score from this model is 98 %. From the result of the projection closing bond insurance from each industry, it can be concluded that the most industry that closed the bond insurance is Banking Industry, the second is from insurance and the third is education and the next is education, retail, bond, manufacturing and finance, hospitality, legal, publishing, technology and government and service industries.
Pengaruh Social Media Marketing, Word of Mouth, Label Halal dan Harga Terhadap Keputusan Pembelian Produk Kosmetik Brand Haveloek Salsabila Azaria; Hendra Achmadi
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 6 No. 7 (2025): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v6i7.8177

Abstract

                The purpose of this study is to determine whether word of mouth, online cutsomer ratings, social media marketing, price and halal label have a positive influence on purchasing decision for cosmetic product of the Haveloek brand. This study is driven by stagnant sales performanca of Haveloek, which shows a significant gap compare to other local brand. The sample consist of Haveloek consumers in JABODETABEK area with total of XX respondents. The sampling technique used is puporsive sampling and data analysis was carried out using SMART PLS application with the PLS-SEM method. The result of this study are expected to provide insights for Haveloek in designing more effective marketing strategies to improve its competitiveness in the Indonesia cosmetic industry. This study demonstrates a positive influence of social media marketing, word of mouth, price, and halal label on the purchase decision of Haveloek cosmetic products.
Customer profiling with k-means clustering and product recommendation with market basket analysis for strategy marketing MSMEs Al Ayubi, Ahmad; Achmadi, Hendra
Enrichment : Journal of Management Vol. 14 No. 2 (2024): June: Management Science And Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/enrichment.v14i2.1914

Abstract

This research aims to develop a data-driven marketing strategy to increase consumer purchase interest in XYZ Hijab. This small and medium-sized Muslim fashion enterprise experienced a sales decline of 65.2% in 2022 and 2023. Utilizing the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology and employing Python programming language with Google Colab, this study combines RFM-D analysis and K-means clustering for customer segmentation, as well as Market Basket Analysis (MBA) for product bundling strategies. The study uses sales transaction data from December 9, 2023, to January 8, 2024. The analysis results indicate that the optimal RFM-D model uses four customer clusters: Superstar Customers (50.37%), Golden Customers (31.92%), Typical Customers (17.65%), and Dormant Customers (0.06%). The MBA identifies 11 product association rules that can be utilized for bundling strategies. The recommended marketing strategies include exclusive loyalty programs for top customers and tailored promotions for potential and dormant customers. Implementing these strategies will increase customer retention and revenue for XYZ Hijab.
Analisis Pengaruh E-Service Quality, Perceived Risk, User Satisfaction dan E-Trust terhadap Continuance Intention Pengguna Blu by BCA Digital Hidayat, Fikri Bintang; Achmadi, Hendra
Journal of Economics and Business UBS Vol. 14 No. 4 (2025): Journal of Economics and Business UBS
Publisher : Cv. Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52644/joeb.v14i4.2765

Abstract

Perbankan digital di Indonesia saat ini tumbuh cukup signifikan, sehingga banyak bank konvensional yang saat ini juga turut bertransformasi pada bank digital. Meskipun hal ini merupakan isu positif, namun banyaknya bank digital menyebabkan persaingan yang cukup kompetitif sehingga loyalitas pada pengguna bank digital perlu diperhatikan. Penelitian ini bertujuan untuk menguji pengaruh e-service quality, perceived risk, user satisfaction dan e-trust terhadap continuance intention pengguna BLU by BCA Digital. Penelitian dilakukan secara kuantitatif pada 233 responden yang pernah menggunakan Bank Digital BCA (Blu). Analisa yang digunakan pada penelitian ini adalah PLS-SEM. Hasil pada penelitian ini menunjukkan bahwa e-service quality pada Blu BCA memiliki pengaruh yang signifikan terhadap kepuasan pengguna dan continuance intention, begitu juga dengan user satisfaction terhadap e-trust dan continuance intention. Namun demikian, perceived risk dan e-trust tidak berpengaruh terhadap continuance intention. Implikasi penelitian ini memberikan masukan praktis bagi pengelola bank digital untuk fokus pada peningkatan kualitas layanan guna menjaga loyalitas pengguna dalam jangka panjang.
Pengaruh Faktor Organisasi dan Individu Terhadap Kinerja Perawat Melalui Employee Well-Being Syitharini, Niken; Achmadi, Hendra
Jurnal Akuntansi, Keuangan, dan Manajemen Vol. 6 No. 4 (2025): September
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jakman.v6i4.4562

Abstract

Purpose: This study aimed to analyze the effects of internal service quality, job satisfaction, job commitment, and supervisor support on job performance, with employee well-being as a mediating variable. Methodology/approach: This research used a quantitative method with a Partial Least Squares-Structural Equation Modeling (PLS-SEM) analysis technique. The sample used in this study consists of 148 nurses. Data were collected using an online questionnaire. Results: The results of the study show that internal service quality has a significant positive effect on job satisfaction, job commitment, and employee well-being. Job satisfaction, job commitment, supervisor support, and employee well-being significantly and positively affect job performance. Job satisfaction has an indirect positive effect on job performance through employee well-being. Job commitment and supervisor support have positive but insignificant indirect effects on job performance through employee well-being. The mediation analysis results show that employee well-being partially mediates the effect of job satisfaction on job performance. Conclusion: Improving internal service quality, job satisfaction, commitment, supervisor support, and employee well-being can enhance nurses' performance. Limitations: This study used online data collection without supervision, the sample was limited to a single hospital, and there were other external factors not captured in the model. Contribution: This study contributes to hospital management by improving nurses performance through enhancing internal service quality, job satisfaction, supervisor support, commitment, and employee well-being.