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Determinansi Kebijakan Hutang Perusahaan Manufaktur Yang Terdaftar Di BEI Tahun 2018-2022 Amelia Setyawati; Moehammad Nasri Abdoel Wahid; Soehartatiek Soehartatiek; Dwi Kurniawan Effendi
Master Manajemen Vol. 1 No. 4 (2023): Master Manajemen
Publisher : Fakultas Ekonomi & Bisnis, Universitas Nusa Nipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59603/masman.v1i4.351

Abstract

Manufacturing companies on the Indonesia Stock Exchange (BEI) face various challenges in managing their financial policies, especially in making decisions related to dividend policy, profitability, liquidity and growth. This phenomenon shows the complexity in maintaining an optimal balance between dividend policy, profitability, liquidity and company growth. This research aims to identify and analyze the influence of dividend policy, profitability, liquidity and company growth on debt policy. The aim of this research is to analyze and measure the influence of dividend policy, profitability, liquidity and company growth on the debt policy of manufacturing companies listed on the Indonesia Stock Exchange during the 2018-2022 period. This research uses a quantitative approach by collecting financial data from manufacturing companies listed on the IDX during that period. The data analysis technique involves statistical regression to measure the relationship between dividend policy, profitability, liquidity and company growth and debt policy. The results of data analysis show that there is a significant influence of dividend policy, profitability, liquidity and company growth on debt policy. The implication of these findings is that companies need to holistically consider these factors in financial decision making to ensure the optimality of their financial structure. This research contributes to the understanding of the factors that influence the debt policies of manufacturing companies in Indonesia. The practical implication is that company management can use these findings as a guide to optimizing their financial structure, which in turn can improve company performance and shareholder value. These findings can also provide new insights for regulators and academics in designing policies that support company growth and sustainability.
ANALISIS KLASTER USAHA MIKRO KECIL DI JAWA TIMUR MENGGUNAKAN METODE AGGLOMERATIVE CLUSTERING DENGAN SOFTWARE ORANGE DATA MINING MOEHAMMAD NASRI ABDOEL WAHID; SUDARJO; FRIYANTO; TIRTOSETIANTO, RADEN HARIO
Akademika : Jurnal Manajemen, Akuntansi, dan Bisnis. Vol. 22 No. 1 (2024): Februari 2024
Publisher : Pusat Publikasi dan Penerbitan Karya Ilmiah STIE Indonesia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51881/jak.v22i1.125

Abstract

Usaha Mikro Kecil merupakan usaha yang banyak dijalankan masyarakat. Tersebar secara spasial dan mempunyai atribut usaha yang sangat beragam. Penting melakukan klasterisasi secara benar untuk pembinaan dan monev sesuai pengelompokannya. Dalam paper ini dilakukan analisis klaster, dengan input data diolah dari data BPS tahun 2023. Data Usaha Mikro Kecil (UMK) berupa atribut jumlah usaha, jumlah serapan tenaga kerja dan nilai produksi. Data spasial (longitude, latitude) ditambahkan sebagai atribut titik kota/kabupaten. Analisis klaster menggunakan metode Agglomerative Clustering berdasar data spasial dan atribut nya, menggunakan aplikasi Orange Data Mining versi 3.36.2 berbasis bahasa pemrograman python. Hasil analisis berupa klaster, jumlah masing-masing atribut klaster dan peta klaster UMK Jawa Timur. Luaran versi web disediakan dalam bentuk html yang dapat digunakan pemangku kebijakan untuk pembinaan UMK di provinsi Jawa Timur.