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All Journal Paradoks : Jurnal Ilmu Ekonomi JER
Tanasale , Amelia
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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The Role of Statistics in Economic and Management Analysis and Decision-Making Tanasale , Amelia; Ambalao , Shapely
Jurnal Economic Resource Vol. 8 No. 1 (2025): March-August
Publisher : Fakultas Ekonomi & Bisnis Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57178/jer.v8i1.1446

Abstract

This study examines the crucial role of statistics in analysis and decision-making in the fields of economics and management. In a data-dominated digital era, the ability to transform raw data into meaningful insights has become a critical competency. Statistics is not merely a collection of numbers, but a science that enables the collection, processing, analysis, and interpretation of data to identify patterns, measure uncertainty, and make accurate predictions. In economics, statistics serve as the backbone of macro and micro analysis, from tracking economic growth to predicting inflation and understanding consumer behavior. This literature study adopts a systematic literature review method, using the Publish or Perish application to search for scholarly publications from reputable databases such as Google Scholar. Five relevant articles were found and analyzed qualitatively, showing that statistics are crucial in various aspects of decision-making. For example, management accounting, which is influenced by statistics, is significant in corporate decision-making. Statistics also help in understanding consumer behavior and the impact of promotions and products on purchasing decisions. This study emphasizes that without statistics, decisions would be based solely on assumptions, whereas with statistics, decisions are based on facts. Therefore, statistics are an essential foundation for achieving competitive advantage in a data-driven world.
Pemanfaatan Analisis Regresi dalam Evaluasi Dampak Kebijakan Ekonomi terhadap Sektor Pertanian Tanasale , Amelia; Ambalao , Shapely
Paradoks : Jurnal Ilmu Ekonomi Vol. 8 No. 2 (2025): Februari - April
Publisher : Fakultas Ekonomi, Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57178/paradoks.v8i2.1432

Abstract

Pemanfaatan analisis regresi sangat penting untuk mengevaluasi dampak kebijakan ekonomi pada sektor pertanian, yang merupakan tulang punggung perekonomian Indonesia. Sektor ini vital dalam penyediaan pangan, penyerapan tenaga kerja, dan kontribusi PDB, namun kebijakan belum sepenuhnya menyentuh aspek pascapanen. Analisis regresi memungkinkan identifikasi dan pengukuran hubungan kausal atau korelasional antara perubahan kebijakan dan indikator pertanian atau ekonomi. Keunggulan metode ini adalah kemampuannya mengestimasi besaran pengaruh suatu variabel sambil mengontrol variabel lain, memberikan bukti empiris yang kuat untuk pengambilan keputusan berbasis data. Tinjauan sistematis ini bertujuan mengidentifikasi, menganalisis, dan mensintesis artikel ilmiah berbahasa Indonesia (2010-2024) yang menggunakan analisis regresi dalam mengevaluasi dampak kebijakan ekonomi terhadap sektor pertanian. Melalui pencarian di Google Scholar via Publish or Perish v8, dari 51 artikel awal, hanya 2 yang memenuhi kriteria inklusi ketat. Artikel Lauwinata et al. (2024) menunjukkan regresi dapat mengevaluasi dampak tidak langsung kebijakan ISPO terhadap partisipasi masyarakat, sedangkan Haryono et al. (2021) menggunakan regresi linier berganda untuk mengukur pengaruh langsung biaya transaksi terhadap pendapatan usahatani ubi kayu. Kedua studi ini menegaskan peran esensial regresi dalam menyediakan bukti kuantitatif untuk merumuskan kebijakan pertanian yang efektif dan berbasis bukti.
Co-Authors Ambalao , Shapely