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All Journal Jurnal Teknik dan Science (JTS) Jurnal Ilmiah Multidisiplin (JUKIM)
Andre Pratama Adiwijaya
Universitas Gunadarma
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Social Sciences

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ANALISA CARA KERJA MICROSERVICE BERBASIS PHYTON UNTUK PERANCANGAN CREDIT SCORE PADA DI FINTECH Andre Pratama Adiwijaya; Sutresna Wati
Jurnal Ilmiah Multidisiplin Vol. 1 No. 03 (2022): Mei : Jurnal Ilmiah Multidisiplin
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (782.701 KB) | DOI: 10.56127/jukim.v1i03.186

Abstract

Penelitian ini mampu membuat penentuan kelayakan pemberian pinjaman secara online tanpa harus melakukan survei kelayakan secara offline. Permodelan untuk kelayakan pemberian menggunakan skema model Predictive Analytics yang dimana service/aplikasi ini bisa berdiri sendiri ataupun bergabung dengan keseluruhan aplikasi dari ERP (Enterprise Resource Planning). Metode yang digunakan dalam perancangan pembuatan service/aplikasi berasiskan agile. Sistem ini berbasiskan Phyton dan juga database menggunakan MYSQL. Aplikasi ini memudahkan perusahan finansial dari multi finance hingga bank dapat memilih calon peminjam dengan tingkat gagal bayar rendah serta membuat nilai TKB dari perusahaan tersebut akan selalu terjaga. Dan dapat meminimalisir para peminjam gagal bayar.
IMPLEMENTASI MULTI DATABASE SEKMA PADA INFRASTUKTUR BERBASIS MICROSERVICE Andre Pratama Adiwijaya
Jurnal Teknik dan Science Vol. 1 No. 3 (2022): Oktober : Jurnal Teknik dan Science
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/jts.v1i3.495

Abstract

Currently the development of infrastructure is quite fast which must support business performance in a company. Infrastructure technology itself has several licenses such as monolid and microservice. The microservice scheme by using OKD we can produce multiservice applications where there are problems in the service this service will not interfere with other services. Due to the process within the microsoft itself stands alone, to integrate services one by one can use config files from the microservice side. In OKD itself there is already a tool to monitor each service such as monitoring logs, YAML configuration and others. In this research, the application was monitored actively and successfully up to the time. If there is a problem with the service, OKD will provide a warning on the dashboard.
ANALYSIS KEJADIAN FRAUD PADA SEBUAH FINTECH Andre Pratama Adiwijaya
Jurnal Teknik dan Science Vol. 3 No. 3 (2024): Oktober: Jurnal Teknik dan Science
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/jts.v3i3.1912

Abstract

Fraud detection in technology-based financial services (Fintech) is one of the main challenges in the digital era. This research aims to develop a productive fraud detection system using data analytics and machine learning techniques. This project utilizes Python for algorithm implementation, accompanied by process visualization through flowcharts and analysis of related datasets. The resulting system is expected to be able to improve accuracy in detecting suspicious activities.
Co-Authors Sutresna Wati