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Does education and skills affect productivity? (study on Pontianak Pelindo) Damayanti, Fera; Bintoro Bagus Purmono; Fahmi, Fitri Fadilah; Qisthi Ardhi
Jurnal Ekonomi Vol. 13 No. 01 (2024): Jurnal Ekonomi, Edition January - March 2024
Publisher : SEAN Institute

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Abstract

This study aims to determine the effect of education and skills on employee work productivity. The data was obtained in the form of primary data and secondary data. Questionnaires were distributed to one of the state-owned companies in Pontianak, namely PT Pelabuhan Indonesia (Persero) Regional 2 Pontianak. The number of samples used in the study was 51 respondents. Data collection techniques were used by distributing questionnaires and processed using SPSS 25 Statistics. This study uses a quantitative descriptive method and uses multiple linear regression analysis. This research also uses data quality tests, classical assumption tests, and hypothesis tests in the form of t-test, F test, and coefficient of determination (R2). The results show that education does not affect employee work productivity. While skills affect employee work productivity
Juridical Review the Role of the Notary Honor Council in Providing Sanctions against Notary That Violates the Code of Ethics of Notary Position Damayanti, Fera
Jurnal Konstatering Vol 1, No 2 (2022): April 2022
Publisher : Master of Notarial Law, Faculty of Law, Sultan Agung Islamic University

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Abstract

This research will be examined in this study are: What is the mechanism for imposing sanctions on notaries who violate the notary's code of ethics and the efforts that can be made by a notary who is imposed with a sanction for violating the notary's code of ethics to file an objection. The approach method used is a normative juridical approach and the specifications used in this study are analytical descriptive research. Based on the results of the study it can be concluded that for Notaries who violate the code of ethics, the Ethics Council can impose sanctions on the violators, sanctions imposed on members of the Indonesian Notary Association who violate the code of ethics can be in the form of: Reprimand, Warning, Temporary Dismissal from Association Membership, Dismissal With Respect from Association Members, and Disrespectful Dismissal from Association Members. However, the dismissal sanction given to a Notary who violates the code of ethics is not in the form of dismissal from the notary position but dismissal from membership of the Indonesian Notary Association. So that the sanction seems to have less binding power for Notaries who violate the code of ethics. Notaries who have been sanctioned for violating the code of ethics can defend themselves and can appeal in stages against the decisions of the Regional Ethics Council to the Regional Ethics Council and the Central Ethics Council as a final level examination.Keywords: Notary, Code of Ethics, Sanctions
Classification of Customer Credit Risk Levels Using the Random Forest Method: A Case Study on Microfinance Institutions Damayanti, Fera; Budiman, Arief; Sundari, Siti; Nainggolan, Theodora MV
Journal of Computer Science, Artificial Intelligence and Communications Vol 2 No 2 (2025): November 2025
Publisher : Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/jocsaic.v2i2.59

Abstract

Credit risk classification plays a crucial role in supporting financial institutions, especially microfinance institutions, in assessing the ability of customers to repay loans. This study aims to develop a credit risk classification model using the Random Forest method, which is known for its accuracy and robustness in handling classification problems. The research uses a dataset obtained from a microfinance institution consisting of various customer attributes such as income, age, loan amount, repayment history, and employment status. The dataset is preprocessed and divided into training and testing sets to evaluate model performance. The Random Forest algorithm is then applied to build a classification model that categorizes customers into three credit risk levels: low, medium, and high. The results show that the Random Forest model achieves a high level of accuracy, with a classification precision of 89%, recall of 87%, and F1-score of 88%. These findings indicate that Random Forest is an effective technique for credit risk classification and can be implemented by microfinance institutions to support better decision-making in credit approval processes. This research also highlights the potential of machine learning techniques in enhancing credit risk management and minimizing non-performing loans.
ANALISIS EFEKTIVITAS DAN KONTRIBUSI PAJAK DAERAH SEBAGAI SUMBER PAD KOTA PONTIANAK (Studi Pada Badan Keuangan Daerah Kota Pontianak Tahun 2017-2021) Pramesti, Ajeng; Ramadhannisa, Ifanka; Damayanti, Fera
Jurnal KIAFE Vol. 1 No. 1 (2023): JURNAL KAJIAN ILMIAH AKUNTANSI
Publisher : Undergraduate Program in Accounting, Department of Accounting, Faculty of Economics and Business, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/kiafe.v1i1.64030

Abstract

This research was conducted to examine the effectiveness and contribution of local taxes to local revenue (PAD) in Pontianak City. This research uses descriptive research. The source of the data to be obtained for this research is secondary data in the form of tables on the development of Pontianak City Regional Original Revenue Realization in 2017-2021. Data analysis techniques in this study used the effectiveness ratio analysis technique and contribution ratio analysis. The research results show that in 2017-2020 the level of effectiveness of regional tax revenues is quite effective, and the contribution of local taxes to Regional Original Revenue (PAD) for 2017-2021 is very good. The Regional Government of Pontianak City should continue to improve supervision, socialization and evaluation of local taxes so that local tax revenues achieve the tax target.
Determinan Audit Report Lag pada Perusahaan Sektor Pertambangan dan Properti & Real Estate yang Terdaftar di BEI Tahun 2019–2021 dengan Kepemilikan Manajerial sebagai Variabel Moderasi Jessica, Meryana; Rusmita, Sari; Damayanti, Fera
Jurnal KIAFE Vol. 2 No. 1 (2024): January 2024
Publisher : Undergraduate Program in Accounting, Department of Accounting, Faculty of Economics and Business, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/kiafe.v2i1.75361

Abstract

This study aims to examine the effects of leverage, profitability, and audit committee size on audit report lag, as well as the moderating role of managerial ownership in the relationships between leverage, profitability, audit committee size, and audit report lag. The population consists of mining and property and real estate sector companies listed on the Indonesia Stock Exchange during the 2019–2021 period. This study employs a quantitative approach using secondary data obtained from the official website of the Indonesia Stock Exchange. The data were analyzed using multiple linear regression analysis and Moderated Regression Analysis. The analytical procedures included descriptive statistical analysis, classical assumption tests, and hypothesis testing using SPSS version 25.0. The results indicate that leverage has no significant effect on audit report lag, while profitability and audit committee size have significant effects on audit report lag. Furthermore, managerial ownership does not significantly moderate the effects of leverage, profitability, and audit committee size on audit report lag.