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Pristiwanto Bani

JUREKSI (Journal of Islamic Economics and Finance) 2025 STIKes Ibnu Sina Ajibarang

This study aims to conduct a narrative review of the Sharia insurance product innovation literature, focusing on market trends and consumer preferences. This study is intended to provide a comprehensive understanding of the current developments in the Sharia insurance industry and identify opportunities for future product innovation. This literature review uses a narrative literature review method, conducted using academic databases from leading books and articles such as Scopus, Google Scholar and Web of Science. Searches using the keywords “product innovation,” “sharia insurance or takaful,” “market trends,” and “consumer preferences” resulted in a selection of relevant articles, which were then analyzed and categorized based on the main themes of sharia insurance market trends, consumer preferences, and product innovation. The review period covers publications from 2015 to 2024 to capture the current dynamics in the industry. The review results show a significant increase in interest in sharia insurance, especially after the global financial crisis. Market trends show a steady growth in adopting Sharia insurance across countries, with increasing consumer preference for products under Islamic principles. Product innovation has evolved from traditional models such as Mudarabah and Wakalah to more sophisticated approaches, including hybrid and Waqf-based products. The study also reveals the need for more diverse products tailored to the specific needs of local markets. The review highlights the need for further research on innovative Takaful product development. Sharia Insurance companies need to focus on better understanding consumer preferences and developing products that comply with Shariah principles and offer competitive added value. In addition, there is a need to explore the integration of digital technologies in the development and distribution of Takaful products. The study provides a comprehensive view of the current landscape of product innovation in the Takaful industry, emphasising market trends and consumer preferences. The review not only fills the gap in the existing literature but also provides a foundation for future research in this emerging field.

Sri Rahmayani

SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi 2025 STIKes Ibnu Sina Ajibarang

PT Jasa Raharja is one of the state-owned enterprises (BUMN) operating in the insurance services sector. The employee selection process often involves subjectivity and a lack of consistent evaluation standards, making it less effective. With the implementation of a Decision Support System (DSS), this assessment process can be carried out meticulously, considering various criteria that influence the final decision. The outcome of this ranking process will determine the most suitable candidate for acceptance. To achieve accurate results, the ARAS and Weighted Product comparison methods are applied. The data used are derived from the company's criteria. The criteria utilized in this study include interviews, psychometric tests, work experience, age, and education. The results of this study produced different rankings: Irfan, according to the ARAS method, has a preference weight of (0.8912), while in the WP method, he has a preference weight of (0.1229).

Novie Noordiana Rachma Yulia; Wahyu Rochana; Agung Pribadhi

Pusat Publikasi Ilmu Manajemen 2024 Fakultas Ekonomi & Bisnis, Univ

The object of this writing is a family business actor in the culinary sector who still manages his business using conventional methods. Before the pandemic, sales were made in large portions for parties, so when the Covid 19 pandemic emerged, accompanied by recommendations for physical distancing, sales experienced a significant decline, thus requiring business owners to do several things to survive and develop. . From the research results it can be concluded that: 1. Human resource management process activities have been applied but are still in a simple, non-formal and unrecorded context. These activities include employee identification and selection, orientation for new employees, and training for new and existing employees. Strategies to retain employees who are competent and have high productivity have also been implemented. There is no health insurance for employees in the object of analysis, there is only a small financial assistance for medical treatment and giving vitamins to employees as a form of prevention so they don't fall sick. Regarding the issue of balance between work and personal life, the owner gives employees the freedom to bring their children to work if conditions do not allow the children to be left at home. 2. The control function has also been applied to the object of analysis, although it is still simple, informal and not recorded. Financial control through calculating ratios has not been applied because the object of analysis has never made written and formal financial reports such as Profit and Loss reports and Balance Sheets. Balance Score Card and Benchmarking have also not been applied by the object of analysis. Control devices in the form of Feedforward, Concurrent and feedback control have been applied by the object of analysis but still in a simple, informal and unwritten manner.

irfan, Irfan Nurdiansyah; Ari Hidayatullah

Jurnal Elektronika dan Komputer 2024 STEKOM PRESS

The insurance business within an insurance company offers insurance products owned by the insurance company. In every insurance product there is a premium payment and the premium is the income of an insurance company at the rate of the amount insured. The problem that PT BNI Life Insurance has is that there are many stops in premium payments such as policy redemptions due to errors in the benefits received or incorrect selection of the insurance product, this can reduce the achievement of targets for an insurance company. The aim of this research is to find out the best classification algorithm compared between K-Nearest Neighbor and Naive Bayes to predict the type of insurance product that customers will choose. In this research, data mining methods are applied to compare two different methods, namely the K-Nearest Neighbor method and the Naïve Bayes method. The level of accuracy results for the K-Nearest Neighbor method is 80% and the Naïve Bayes method is 70.53%, which means that the K-Nearest Neighbor method is the best method to apply to an insurance product classification system based on the demographics of prospective customers.