LPPM - STMIK WIDURI (E-Journals)
Not a member yet
216 research outputs found
Sort by
SISTEM PAKAR DIAGNOSA GANGGUAN MESIN EDC MENGGUNAKAN METODE FORWARD CHAINING PADA BANK INDONESIA
Full text linkAn EDC (Electronic Data Capture) machine is an electronic device used to collect, store and manage electronic payment transaction data, such as credit or debit cards. Typically, EDC machines are used by merchants or retailers to accept payments from customers by credit or debit card. EDC machines connect to electronic payment networks and facilitate secure data transfer between customer cards and payment systems. The aim is to implement the forward chaining method and create an expert system that can diagnose EDC machine damage and disturbances. The forward chaining method is used in this research. The result is that the forward chaining method can be implemented in an expert system and the system can be used to diagnose damage and disturbances to EDC machines
ANALISIS FRAUD DIAMOND DALAM MENDETEKSI FRAUDULENT FINANCIAL STATEMENT
Full text linkThis study aims to analyze fraud diamonds in detecting fraudulent financial statements. This research was conducted using quantitative methods. In this study, the population was taken from banking companies listed on the Indonesia Stock Exchange (IDX) in 2018-2020. The type of data used in this study is secondary data, where this data comes from the company's financial statements. This study also used a purposive sampling method in selecting the sample and produced 41 banking companies over a period of 3 years with a total of 123 observed data samples. The analysis technique used by the authors in this research is the classical assumption test, and multiple linear regression tests. The test results in this study show that Financial Stability and Directors Change had no effect on Fraudulent Financial Statements, External Pressure and Ineffective Monitoring had negative effect on Fraudulent Financial Statements. Meanwhile, Financial Targets had a positive effect on Fraudulent Financial Statements
PERANCANGAN SISTEM PAKAR DALAM MENDIAGNOSA KERUSAKAN CCTV BERBASIS WEB MENGGUNAKAN METODE FORWARD CHAINING (STUDI KASUS: PT.MNC PICTURES)
Full text linkThe use of Closed Circuit Television (CCTV) has almost become a common necessity in the current era, especially for security, where it is to record an incident 24 hours a day which can be immediately broadcast or stored as evidence if one day it is needed. Closed Circuit Television or better known as CCTV is equipment that functions to record events in real time in a room. The research objective is to build a web-based expert system that is able to diagnose damage to CCTV and implement the forward chaining method. Data collection methods are observation, interviews and literature study. Meanwhile, the research method used is forward chaining. The result is that an expert system can be built on a web basis and is able to diagnose damage to CCTV and also the forward chaining method can be implemented to overcome the uncertainty of the expert system diagnosis results
PENGARUH BOARD OF COMMISSIONERS, GREENHOUSE GAS EMISSION DISCLOSURE DAN SUSTAINABILITY REPORT DISCLOSURE TERHADAP NILAI PERUSAHAAN DENGAN ENVIRONMENTAL PERFORMANCE SEBAGAI VARIABEL MODERASI
Full text linkIn this study, the authors were interested in researching how Board of Commissioners, Greenhouse Gas Emission Disclosure and Sustainability Report Disclosure to Corporate Value with Environmental Management as Moderation Variables. This study used a population of manufacturing companies listed on the Indonesia Stock Exchange from 2016 to 2020 which amounted to 190 companies, according to the criteria required in this study there were only 25 manufacturing companies that were sampled for the years 2016 to 2020. This study uses multiple regression analysis with the results of research that Board of Commissioners has a positive effect on corporate value, Greenhouse Gas Emission Disclosure has no effect on corporate value and Sustainability Report Disclosure has a significant positive effect on corporate value. Environmental Management moderation variables do not strengthen the relationship of Board of Commissioners, Greenhouse Gas Emission Disclosure and Sustainability Report Disclosure to Corporate Value
EFFECT OF EQUITY MARKET VALUE, LEVERAGE AND INFORMATION ASYMMETRY ON THE COST OF EQUITY CAPITAL IN LQ45 COMPANIES
Full text linkThis research was conducted to analyze the effect of Market Value on equity, Leverage, and Voluntary disclosure on the Cost of Equity Capital incorporated in LQ 45 companies on the Indonesia Stock Exchange. The data used in this research is secondary data, and a sample of 36 people is taken using purposive sampling technique. The data analysis method is multiple linear regression and the Classical Assumption test. The results of the analysis simultaneously show that the market value of equity, leverage and information asymmetry affect the cost of equity capital incorporated in LQ 45 companies on the Indonesia Stock Exchange. In part, the market value of equity affects the cost of equity capital incorporated in LQ 45 companies on the Indonesia Stock Exchange and voluntary disclosure is influenced by the cost of equity capital incorporated in LQ 45 companies on the Indonesia Stock Exchange
ANALYSIS OF PRESSURE AND OPPORTUNITY FACTORS ON FRAUD OF FINANCIAL REPORTS IN MANUFACTURING COMPANY
Full text linkFraud is an act of an individual or a group of people that aims to generate personal or group benefits from the actions taken, including actions that can harm other individuals and business entities. The purpose of this study is to test, and provide empirical evidence about the effect of financial stability, external pressure, financial targets, and the effectiveness of oversight of fraudulent financial reporting. This type of research is quantitative research with purposive sampling technique. The population of this study is manufacturing companies in the various industrial sectors listed on the Indonesia Stock Exchange in 2019-2021 with a sample of 27 companies. The statistical data analysis method used is panel data regression. The conclusion of this study is that financial stability and effectiveness of supervision have a positive effect on fraudulent financial reporting, while external pressure and financial targets have a negative effect on fraudulent financial reporting
PENGARUH INOVASI TEKNOLOGI, LITERASI KEUANGAN TERHADAP KINERJA KEUANGAN DENGAN INKLUSI KEUANGAN SEBAGAI VARIABEL INTERVENING KASUS UMKM DI JABODETABEK
Full text linkPurpose this study aims to examine the effect of technological innovation, financial literacy on financial performance with financial inclusion as an intervening variable. This type of research is quantitative research. The data used in this study is primary data. The population in this study is all MSME actors and the sample of this study is food and beverage MSMEs in Jabodetabek. The sampling technique uses the hair formula by multiplying 29 indicators by five. From this data, 145 respondents were obtained. The analysis used is a multip1e 1inear regression ana1ysis method. The resu1ts of the ana1ysis show that technological innovation and financia11iteracy have a positive effect on the financial inclusion of food and beverage MSMEs in Jabodetabek and vice versa technological innovation does not directly affect the financial performance of food and beverage MSMEs in Jabodetabek, but is mediated by financial inclusion. Financial literacy has a direct effect on the financia1 performance of food and beverage MSMEs in Jabodetabek and is not mediated by financial inclusion
PENGARUH PERENCANAAN PAJAK, LEVERAGE DAN UKURAN PERUSAHAAN TERHADAP MANAJEMEN LABA PADA PERUSAHAAN MANUFAKTUR SEKTOR INDUSTRI BARANG KONSUMSI YANG TERDAFTAR DI BEI PADA TAHUN 2017-2021
Full text linkThe purpose of this study is to examine and explain the effect of tax planning, leverage, and company size on manufacturing companies in the consumer goods industry sector which are listed at the Indonesian Stock Exchange in 2017-2021. This research was conducted at the Indonesia Stock Exchange for manufacturing companies in the consumer goods industry sector using secondary data and a purposive sampling method. The data analysis method used is quantitative analysis using descriptive statistics, panel data regression analysis, and hypothesis testing using E-views version 10. The results of this research show that tax planning and firm size have no significant effect on earnings management. Leverage have a no significant effect on earnings management. Simultaneously tax planning, leverage, and firm size affect earnings management
PENGEMBANGAN SISTEM APLIKASI MANAJEMEN PROPERTI BAGIAN PENYEWAAN UNIT (STUDI KASUS: PT. SATRAND GROUP INDONESIA)
Full text linkPT. Satrand Group Indonesia is a daily rental company, daily apartments, transit rentals, transit apartments, grand kamala lagoon daily rentals, grand kamala lagoon daily apartments, east center daily rentals, east center daily apartments, Gading Nias daily apartments, Gading Nias daily rentals, apartments Bekasi daily rental, Bekasi daily rental, Bekasi lodging. In carrying out its activities, this company still uses the process of ordering units directly and through contact admins. So that customers who will rent are required to come and see or make sure the unit is available or not directly to place an order. The purpose of this research is to build a unit rental management information system at PT. Satrand Group Indonesia uses the waterfall method. This research has resulted in a unit rental management information system at PT. Satrand Group Indonesia which makes it easy for customers to place orders, makes it easier for customers to get information about units and makes it easier to make reports
KOMPARASI ALGORITMA DECISION TREE, NAIVE BAYES DAN K-NEAREST NEIGHBOR UNTUK MENENTUKAN KUALITAS UDARA DI PROVINSI DKI JAKARTA
Full text linkAir quality in DKI Jakarta Province refers to the state and cleanliness of the air in the area at a given time. The type and concentration of air pollutants are among the indicators used to assess air quality. DKI Jakarta's air pollution is severe, causing respiratory irritation, respiratory illnesses, and long-term health issues such as cardiovascular disease and lung cancer. Air pollution can also harm the environment by limiting visibility and harming ecosystems. The problem with the research is that no appropriate and relevant features for predicting air quality were used. The goal of this study is to identify and compare algorithms with the highest accuracy between decision trees. In determining air quality, naive Bayes and k-nearest neighbor are used. According to the findings of the K-5fold evaluation process performed with the RapidMiner tool, the accuracy of the Decision Tree algorithm was 95.89%, the accuracy of the Nave Bayes algorithm was 93.15%, and the accuracy of the K-NN algorithm was 91.78%. Based on these findings, the decision tree method has the greatest or best accuracy when compared to the Nave Bayes and K-NN algorithms