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Journal : Media Aplikom

Analisis Keuangan Nasabah Kredit PT. Bank UOB Tbk. Cabang Purwokerto Dengan Altman Z-Score Carolina Ety Widjayanti
Media Aplikom Vol 4 No 4 (2015)
Publisher : Sekolah Tinggi Ilmu Komputer YOS SUDARSO Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33488/1.ma.2015.4.98

Abstract

Increased competition in the banking world, the soundness of a bank to be a priority for customers in choosing a bank before they put down deposits. Therefore, the bank must increasingly have the creativity of a revolving fund that is managed dihimpunnya to gain advantages, one of them in the form of credit. For that banks are required to maintain public confidence and maintain the liquidity risk, that is not shackled with the issue of problem loans. The quality of the prospective customer a credit note by analyzing the financial condition of prospective customers and prospective customers predicting bankruptcy of credit, The purpose of this research is done because of the growing number of non-performing loans (NPLs) increased net nationally, is expected to use the Altman Z-Score, the banks can detect early clients or potential clients who experienced Financial Disstress¸sehingga credit can be decided in lending as well as policies to monitor customers' business continuity, especially in financial matters. This research uses descriptive analysis and hypothesis testing with a case in PT.Bank UOB Tbk. Branch Purwokerto. The following hypothesis testing first hypothesis is accepted if -rata average Z-Score <1.23 and second hypothesis is accepted if the Z-score> 2.90. Data taken using the method of documentation is to examine and review the records and financial statements of the company. The research result was a conclusion that the conditions of credit customers PT.Bank UOB Tbk Branch Purwokerto whether included in the category Current and Special Mention, the average financial ratios of 2014 and 2015 is quite good; almost all credit customers are included in Special Mention (DPK) experienced Financial Distress, with an average Z-Score is the gray area that is 1.23 <Z <2.90 while credit customers who fall into predictable Fluent quality not experienced Financial distress, with an average value of Z-score> 2.90.
Sistem Pakar Berbasis Android Dengan Metode Forward Chaining Untuk Mengidentifikasi Penggunaan Jenis Narkoba Dhany Faizal Racma; Carolina Ety Widjayanti; Suyudi Suyudi
Media Aplikom Vol 12 No 2 (2020): Media Aplikom
Publisher : Sekolah Tinggi Ilmu Komputer YOS SUDARSO Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33488/1.ma.2020.2.272

Abstract

The National Narcotics Agency or NNA is a Non-Ministry Government Institution (NMGI) Indonesia that has the task of carrying out government duties in the areas of prevention, eradication of psychotropic abuse and illicit circulation, precursors and other addictive ingredients except addictive ingredients for tobacco and alcohol. The National Narcotics Agency also has a function to handle and rehabilitate drug users. Banyumas National Narcotics Agency has problems, namely experts who are limited and not always in place in the service and drug tests is not effective, a solution is to create an information system, namely an expert system that is used to identify the types of drugs based on the user's physical characteristics. The method used in this study is Prototype. The programming languages used are PHP and C #, and use the MySQL database. The research results from the benefit test tested to 30 respondents produced a high percentage for system usability, easy to learn, efficiency, and the system could be accepted, while the results of hypothesis testing in this study were H1 which was accepted where there was a significant time difference between before and after using an Android-based Expert Identification System for Types of Drugs. Thus, this expert system can be used to assist in identifying types of drugs so that they are more effective and efficient than conventional methods.