Penerapan Algoritma Apriori untuk Rekomendasi Asuransi pada Nasabah

Jasindo Insurance Company is one of the insurance companies that receives insurance coverage both directly and indirectly, with ownership of 1 share of dwiwarna series A owned by the Republic of Indonesia and 424,999 shares of Series B owned by PT Bahana Pembinaan Usaha Indonesia (Persero). PT Asuransi Jasa Indonesia has several products and choices in choosing which insurance is needed by customers in agriculture, health, education and many more. Due to the large amount of competition in the business world, it requires management to find the right strategy in increasing the use of Jasindo insurance by knowing the relationship between age, gender, marital status, occupation and the type of Jasindo insurance that is widely chosen by customers. In order to find out the use of insurance that is widely used by the community, it is necessary to analyze the data on the use of insurance using the apriori algorithm method to determine the combination between item-sets of transaction data on Jasindo insurance data. Based on the research conducted after experimenting with the above case with a minimum support = 25%, confidence = 100% so that the results of the rule that meets the support and confidence values are obtained, namely if the gender is male, the marital status is Unmarried, then the type of insurance is jasimdo health and jasindo rainbow then giving value is successful with 25% support, 100% confidence.

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Publication Details

Journal
Jurnal Penelitian Teknologi Informasi dan Sains
Published
2024-08-29
DOI
https://doi.org/10.54066/jptis.v2i3.2379
Primary Topic
Management and Optimization Techniques
Type
article
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article

Penerapan Algoritma Apriori untuk Rekomendasi Asuransi pada Nasabah

Amanda Putri Ardana, Akim M.H. Pardede, Selfira Selfira
Jurnal Penelitian Teknologi Informasi dan Sains
Management and Optimization Techniques
article

Penerapan Algoritma Apriori untuk Rekomendasi Asuransi pada Nasabah

Amanda Putri Ardana, Akim M.H. Pardede, Selfira Selfira
article en

Abstract

Jasindo Insurance Company is one of the insurance companies that receives insurance coverage both directly and indirectly, with ownership of 1 share of dwiwarna series A owned by the Republic of Indonesia and 424,999 shares of Series B owned by PT Bahana Pembinaan Usaha Indonesia (Persero). PT Asuransi Jasa Indonesia has several products and choices in choosing which insurance is needed by customers in agriculture, health, education and many more. Due to the large amount of competition in the business world, it requires management to find the right strategy in increasing the use of Jasindo insurance by knowing the relationship between age, gender, marital status, occupation and the type of Jasindo insurance that is widely chosen by customers. In order to find out the use of insurance that is widely used by the community, it is necessary to analyze the data on the use of insurance using the apriori algorithm method to determine the combination between item-sets of transaction data on Jasindo insurance data. Based on the research conducted after experimenting with the above case with a minimum support = 25%, confidence = 100% so that the results of the rule that meets the support and confidence values are obtained, namely if the gender is male, the marital status is Unmarried, then the type of insurance is jasimdo health and jasindo rainbow then giving value is successful with 25% support, 100% confidence.

Jurnal Penelitian Teknologi Informasi dan SainsVol. 2(3)
Kootenay Association for Science & Technology (CA)
Openalex Percentile: Top 74%
Management and Optimization Techniques
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Penerapan Algoritma Apriori untuk Rekomendasi Asuransi pada Nasabah — Amanda Putri Ardana, Akim M.H. Pardede, et al. · Jurnal Penelitian Teknologi Informasi dan Sains (2024) | TGRS Research Map | TGRS