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Journal : Journal on Education

Pengaruh Kredit Cepat Aman (KCA) Terhadap Pendapatan Sewa Modal Pada PT Pegadaian (PERSERO) Jusuf Nurdin; Nuniek Dewi Pramanik; Euis Hernawati; Wiwi Warsiati
Journal on Education Vol 6 No 1 (2023): Journal On Education: Volume 6 Nomor 1 Tahun 2023
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v6i1.3994

Abstract

Kredit Cepat Aman (KCA) is an excellent product of PT Pegadaian which is distributed to the public with collateral of valuables and has a capital lease term based on a certain rate and a certain period of time that the customer must pay for the loan he receives. The purpose of this research is to determine the effect of Kredit Cepat Aman (KCA) on capital lease income at PT Pegadaian (Persero) period years 2017-2021. The method used in this research is quantitative with simple linear regression analysis. Data collection techniques in this research are observation, documentation, literature study and internet browsing. The results of the research show that Kredit Cepat Aman (KCA) and capital lease income from 2017-2021 increase every year and decrease in 2021. Kredit Cepat Aman (KCA) has a very strong influence, is positive or there is a significant unidirectional relationship to capital lease income.
Analisis Pengaruh Profitabilitas dan Leverage terhadap Carbon Emission Discloure (Studi Kasus Perusahaan yang Terdaftar pada Bursa Efek Indonesia Periode 2018-2020) Wiwi Warsiati; Nuniek Dewi Pramanik; Dian Candra Fatihah
Journal on Education Vol 6 No 1 (2023): Journal On Education: Volume 6 Nomor 1 Tahun 2023
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze the influence of industry type, firm size, profitability, leverage, and enviromental performance on the carbon emission disclosure. Measurement of carbon emission disclosure used content analysis. There are 18 items to detect carbon emission disclosure.Object in this study are companies that listed in Indonesian Stock Exchange (IDX) during 2018-2021. The sample was selected using purposive sampling method and obtained thirty three companies being sampled. Type of data used is secondary data. Data analysis used frequency table, descriptive statistics, classical assumption test, and multiple linear regression analysis.The result of this study showed that industry type, firm size and profitability significantly influence to the carbon emission disclosure. Meanwhile, leverage and enviromental performance had no significcant effect to the carbon emission disclosure.
Optimalisasi Laporan Penjualan Melalui Pelatihan Microsoft Excel Pada Bumdes Karya Maju Cemerlang Desa Apung Kecamatan Tanjung Selor Kabupaten Bulungan Eri suparjan; Yuliana Ritna Bara; David Ifanly; Silva Septriana; Euis Hernawati; Dian Candra Fatihah; Candra Mecca Sufyana; Wiwi Warsiati
Journal on Education Vol 7 No 1 (2024): Journal on Education: Volume 7 Nomor 1 Tahun 2024
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v7i1.7126

Abstract

In an effort to achieve the welfare of village communities, BUMDes carries out its activities in accordance with the business potential that exists in the village. Village-Owned Enterprises (BUMDes) as business entities whose capital is wholly or largely owned by the Village have the obligation to manage assets, services and other businesses for the greatest welfare of the village community. One of the information needed by BUMDes is the presentation of financial information related to sales reports. One of the problems with recording sales is that it is still done manually, which is prone to recording errors which can make it difficult to calculate sales, this can disrupt BUMDes operations. Optimizing accurate sales reports using Microsoft Excel is the right choice, using this application will make the sales recording process more efficient and accurate. Microsoft Excel's various features, such as formulas and functions, make calculations easy and present sales reports in a neat and organized manner. So that recording errors can be reduced, operational efficiency can be achieved, and data reliability can be increased.