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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA KLIK: Kajian Ilmiah Informatika dan Komputer
Rahmat Fitra Arkamil
Universitas Sriwjaya, Palembang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Analisis Pengaruh Sosial CRM Terhadap Loyalitas Customer Pada Layanan Pengguna Aplikasi DANA Ali Ibrahim; Oktrioka Gisbu; Erinne Rizky Salsadila; Rahmat Fitra Arkamil; M Aditya Wijaya; M Hafadz Raihan
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3531

Abstract

DANA application is one of the digital wallet applications which of course has a function as a tool for making payments. Funds can be used by all ages, besides that, funds are also very much needed today as a digital wallet. Transactions using Dana can be done anywhere, such as shops, restaurants, or online shopping payments. With the development of information technology, Dana is required to always provide services that can complete online transactions. Digital or online transactions have become a part of modern society's life. A good application is an application that can make users satisfied with the services provided because that is the purpose of the Fund Application. The research methodology used is a quantitative survey research method that describes the causal relationship and the effect that occurs between the existing variables using hypothesis testing. Customer Relationship Management (CRM) is a strategy used to analyze data, consolidate, and also obtain data which is then used to interact with customers (Dana application users), with this it will produce a comprehensive view of customers and customer satisfaction on Application services. Fund.
Klasifikasi Tindakan Persalinan Pada Pasien Ibu Bersalin Menggunakan Metode Decision Tree C4.5 Rahmat Fitra Arkamil; Muhammad Ihsan Jambak
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.1168

Abstract

Childbirth is the process of delivering a baby, placenta, and amniotic sac from the uterus to the outside world. According to data from the World Health Organization, there are at least 303 thousand women worldwide who die on the verge of or during the childbirth process. Childbirth methods can vary, it could be through normal delivery or cesarean delivery, which are usually based on the health conditions of the mother and baby. Therefore, the selection of the appropriate childbirth method can increase the safety of the mother and baby. Hence, through this research, childbirth methods need to be examined more deeply with the aim of finding out what factors influence them, and then determine the childbirth method based on those factors. In grouping childbirth methods based on childbirth factors, a data mining method is used, namely classification. The Decision Tree C4.5 method is used in this research because of its ability to produce a classification model that is easy to understand and interpret. This model is built based on historical data from Banyuasin Regional General Hospital that includes various health variables and childbirth methods. Testing was conducted using childbirth method data from January 1, 2020 to December 31, 2020. This research produced 20 decision branch patterns or rules that form the basis for determining the label or class data with an accuracy rate of 99.26%.
Co-Authors Ali Ibrahim Erinne Rizky Salsadila M Aditya Wijaya M Hafadz Raihan Muhammad Ihsan Jambak Oktrioka Gisbu