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All Journal JAM JURNAL AKUNTANSI UNIVERSITAS JEMBER
Birra Lailatul Nafiisa
State Polytechnic of Malang
Economics, Econometrics & Finance Education

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Dashboard Visualisasi Data UMK Sebagai Alat Pengambilan Keputusan Menggunakan Microsoft Power BI Birra Lailatul Nafiisa; Yayang Novealita Wahono Putri; Qurratu Ayunin
Akuntansi dan Manajemen Vol. 17 No. 2 (2022): Jurnal Akuntansi dan Manajemen
Publisher : Jurusan Akuntansi Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jam.v17i2.199

Abstract

SME empowerment will directly increase productivity, increase people's per capita income, and provide jobs more evenly. Small Micro Enterprises contributed Rp 2,121.3 trillion to Gross Domestic Product from base Rp 335.1 trillion in previous year with a percentage of 53.6%. SMEs are currently faced with a very high product competitiveness era, relatively short product life cycles following market trends, and relatively fast product innovation capabilities. The lack of sources of capital is the main problem currently facing SMEs in Indonesia. By looking at the opportunities, challenges, and threats faced by MSEs in Indonesia, it is necessary to design a system that functions as a decision-making tool for interested parties. So the purpose is to design a dashboard using Business Intelligence as a decision-making tool. The method used to design this dashboard is ADDIE using Microsoft Power BI. The design result is a visualization dashboard for MSEs in Indonesia based on the number of businesses in the green economy sector, the number of businesses in all sectors, the number of workers, the amount of income, and the amount of expenditure. The results of this visualization dashboard can be a reference for investors to give funds to increase SME’s size and competitiveness.
PROFIT FORECASTING ANALYSIS AND VISUALIZATION OF CEMENT COMPANIES LISTED IN THE INDONESIA STOCK EXCHANGE Birra Lailatul Nafiisa; Nurafni Eltivia; Nur Indah Riwajanti
JURNAL AKUNTANSI UNIVERSITAS JEMBER Vol 21 No 1 (2023)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jauj.v21i1.36248

Abstract

This study aims to determine the amount of profit for the next 5 years from 2022-2026 by forecasting profits using a simple linear regression method. Presentation of profit forecasting data needs to be processed to make it simpler and easier for stakeholders to understand. Therefore this study visualizes data using Microsoft Power BI based on historical data of cement companies in Indonesia that are listed on the Indonesia Stock Exchange in 2017-2021. Type of research is Research and Development (R&D). This study uses a simple linear regression method to determine profit forecasting. Meanwhile, the dashboard creation stage uses the ADDIE method. The results of this study conclude that profit forecasting for 2022-2026 at PT Indocement Tunggal Prakarsa Tbk, PT Solusi Bangun Indonesia Tbk, and PT Semen Indonesia Tbk has increased profits while PT Semen Baturaja Tbk, PT Wijaya Karya Beton Tbk, and PT Waskita Beton Precast Tbk suffered losses.Keywords: forecasting profit, historical data, Microsoft Power BI ABSTRAKPenelitian ini bertujuan untuk mengetahui besarnya laba 5 tahun mendatang dari tahun 2022-2026 dengan melakukan peramalan laba menggunakan metode regresi linier sederhana. Penyajian data peramalan laba perlu diolah agar lebih sederhana dan mudah dipahami oleh pemangku kepentingan. Oleh karena itu penelitian ini memvisualisasikan data menggunakan Microsoft Power BI berdasarkan data historis perusahaan semen di Indonesia yang terdaftar di BEI tahun 2017-2021. Jenis penelitian adalah Research and Development (R&D). Metode pengumpulan data menggunakan metode dokumentasi. Penelitian ini menggunakan metode regresi linier sederhana untuk menentukan peramalan penjualan Kontribusi penelitian ini diharapkan dapat memberikan informasi sebagai dasar analisa pemangku kepentingan. Sedangkan implikasi praktis penelitian ini perlu dilakukannya perluasan target penjualan dengan ekspor semen ke luar negeri untuk meningkatkan keuntungan dan mengatasi kelebihan pasokan semen di Indonesia. Periode penelitian terbatas selama 5 tahun. Peneliti selanjutnya sebaiknya menampilkan laba bersih, laba operasi, laba kotor, dan pendapatan untuk meningkatkan kegunaan informasi dalam pengambilan keputusan.Kata Kunci: peramalan laba, data historis, Microsoft Power BI
Co-Authors Nurafni Eltivia Qurratu Ayunin Riwajanti, Nur Indah Yayang Novealita Wahono Putri