TY - GEN
T1 - Employee welfare financing system with support vector machine and Naïve Bayes to Syariah banking
AU - Opitasari,
AU - Yaddarabullah,
AU - Sensuse, Dana Indra
N1 - Publisher Copyright:
© 2023 Author(s).
PY - 2023/2/21
Y1 - 2023/2/21
N2 - Bank JABAR Banten (BJB) Syariah KCP Sawangan is a Sharia Bank that conducts its operations based on sharia principles, currently BJB Syariah KCP Sawangan does not yet have an application to assist branch heads in making decisions for prospective customers for financing employee welfare (PKP). What often happens is the process of analyzing input data in determining the assessment of the attributes of the house specifications that customers are looking for and the classification of prospective customers still using Microsoft Excel tools. Approval of financing provision is still relatively long, namely 1 week after analysis from the financing admin. The purpose of making this application is to assist branch heads in determining potential customers who are eligible for employee welfare financing based on the 5 C assessment principles, namely character, capital, capacity, condition, and collateral. This application was created using the Support Vector Machine approach and the Naive Bayes classification method.
AB - Bank JABAR Banten (BJB) Syariah KCP Sawangan is a Sharia Bank that conducts its operations based on sharia principles, currently BJB Syariah KCP Sawangan does not yet have an application to assist branch heads in making decisions for prospective customers for financing employee welfare (PKP). What often happens is the process of analyzing input data in determining the assessment of the attributes of the house specifications that customers are looking for and the classification of prospective customers still using Microsoft Excel tools. Approval of financing provision is still relatively long, namely 1 week after analysis from the financing admin. The purpose of making this application is to assist branch heads in determining potential customers who are eligible for employee welfare financing based on the 5 C assessment principles, namely character, capital, capacity, condition, and collateral. This application was created using the Support Vector Machine approach and the Naive Bayes classification method.
UR - http://www.scopus.com/inward/record.url?scp=85149996919&partnerID=8YFLogxK
U2 - 10.1063/5.0111450
DO - 10.1063/5.0111450
M3 - Conference contribution
AN - SCOPUS:85149996919
T3 - AIP Conference Proceedings
BT - 3rd International Conference on Engineering, Technology and Innovative Researches
A2 - Kurniawan, Yogiek Indra
A2 - Fadli, Ari
A2 - Saputro, Dani Nugroho
A2 - Hardini, Probo
A2 - Aditama, Maulana Rizkia
A2 - Sofiana, Amanda
A2 - Sibarani, Ayu Anggraeni
PB - American Institute of Physics Inc.
T2 - 3rd International Conference on Engineering, Technology and Innovative Researches, ICETIR 2021
Y2 - 1 September 2021
ER -