Noor Safrina
Jurusan Akuntansi, Politeknik Negeri Banjarmasin, Indonesia

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Analisis Pengkreditan Pajak Masukan pada PT. Batu Gunung Mulia Bersama Banjarbaru Puspita Nurdelima; Noor Safrina; Putriana Salman
Indonesian Journal of Applied Accounting and Finance Vol. 5 No. 1 (2025): June
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/ijaaf.v5i1.14985

Abstract

The era of increasingly tight business competition makes operational efficiency key for companies to maintain competitiveness and increase profitability. One significant component in the company's operational cost structure is tax, especially Value Added Tax (VAT). PT. Batu Gunung Mulia Bersama Banjarbaru, which is engaged in the field of cylinder repair services, faces problems in managing input taxes that are less than optimal, which can result in lost opportunities to credit the tax and increase overall operational costs. This study uses a descriptive qualitative method with a case study approach. Data were collected through interviews, observations, and documentation, which aim to understand the company's tax administration process and the factors that influence compliance with applicable tax regulations. The results of the study indicate that the company has carried out tax obligations in accordance with applicable regulations, but there are still obstacles in crediting input taxes due to lack of communication with the vendor. In addition, external factors such as tax socialization and internal factors such as understanding tax regulations also affect the level of company compliance.
Evaluasi Akurasi Sales Forecasting dan Realisasi Penjualan Batako pada UD Budi Ayu Banjarmasin Noor Mutia; Noor Safrina; Rizky Amelia
Indonesian Journal of Applied Accounting and Finance Vol. 5 No. 1 (2025): June
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/ijaaf.v5i1.14987

Abstract

This study aims to evaluate the effectiveness of sales forecasting methods in predicting the sales of concrete bricks at UD Budi Ayu Banjarmasin, as well as to identify the issues faced by the company in sales planning. The research problem addressed is the inaccuracy in sales projections that can affect the company's strategic decisions. The research method employed is a quantitative descriptive approach, analyzing historical sales data from 2020 to 2024, and applying three forecasting methods: least squares, moment, and quadratic. Findings indicate that the least squares and moment methods yield higher accuracy in predicting sales of floor concrete bricks, while the quadratic method is more effective for wall concrete brick sales. The implications of this research highlight the importance of selecting the appropriate forecasting method to enhance sales prediction accuracy, which in turn can assist the company in budget planning and making better strategic decisions. This study is expected to provide practical contributions for manufacturing companies in optimizing sales strategies and improving overall business performance.