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All Journal IJAIT (International Journal of Applied Information Technology) Jurnal Informasi dan Teknologi
Nana Hermana, Asep
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Computer Science & IT

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Analysis of the Influence of Agents' Credibility Through Digital Media and Digital Promotions on Purchase Decisions Toward Insurance Products Sudirjo, Frans; Adhi Pramono, Susatyo; Arief, Ilham; Nana Hermana, Asep; Sulistya Kusuma Wardhani, Annisa Risqi
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.514

Abstract

This research aims to see the influence of interpersonal communication by insurance agents on customers' decisions to purchase products and whether the agent's credibility impacts customers' purchasing decisions regarding insurance service products. This type of research is quantitative. Data collection using questionnaires. The method used in taking this sample was simple random sampling. The sample in this study was 100. The data analysis technique used was multiple regression analysis. The analysis found that interpersonal communication and the credibility of insurance agents significantly influence customers' purchasing decisions when purchasing insurance service products. The study's results also show that the hypothesis proposed in this research has been proven: interpersonal communication and insurance agent credibility significantly influence customer purchasing decisions. Thus, insurance companies need to pay attention to and improve interpersonal communication strategies and strengthen the credibility of insurance agents to enhance customer purchasing decisions and their sales performance.
Decision Support Systems to Selection of Diet Type Using Fuzzy Sugeno and Naïve Bayes Method Nurhasanah, Youllia Indrawaty; Nana Hermana, Asep; Arga Hutama, Mahesa
IJAIT (International Journal of Applied Information Technology) Vol 01 No 02 (November 2017)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v1i02.894

Abstract

Sugeno Fuzzy algorithm is one of the algorithms contained on Fuzzy Inference System, that used to describe the condition between the two pieces of the decisions represented in the form of rules IF - THEN, where the output is constant or linear equations. While the Naive Bayes algorithm is an algorithm that uses data classification to a particular class based on the probability of each data class. Both of these algorithms can be implemented on a Decision Support System (DSS) for diet selection, using Fuzzy Sugeno as an additional determinant of energy and Naive Bayes method as decision maker. This is because the need for food intake and diet has become a problem for humans. To prevent excess intake of food it needs dietary adjustments or so-called diet. But in daily life, people sometimes hard to determine the type of diet that is suitable for them. So we need a system that can determine the type of diet that is suitable for a person. The data that used as a reference for decision support are age, daily caloric requirement, Body Mass Index (BMI), blood pressure, cholesterol, uric acid and blood sugar levels. Results of system testing showed from a sample of 30 data there are 26 appropriate data and 4 inappropriate data to determine the type of diet by the system with the success rate of 86.7%.
Co-Authors Annisa Risqi Sulistya Kusuma Wardhani Arga Hutama, Mahesa Arief, Ilham Frans Sudirjo Nurhasanah, Youllia Indrawaty Susatyo Adhi Pramono, Susatyo Adhi