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Pengaruh pengelolaan sumber daya manusia , inovasi produk dan pemasaran yang efektif terhadap keberhasilan strategi penjualan Haryanti, Mayang Fadillah
Jurnal Pendidikan Siber Nusantara Vol. 3 No. 1 (2025): Jurnal Pendidikan Siber Nusantara (Januari - Maret 2025)
Publisher : Siber Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jpsn.v3i1.353

Abstract

Pengaruh pengelolaan sumber daya manusia , inovasi produk  dan pemasaran yang efektif  terhadap keberhasilan strategi penjualan  adalah artikel ilmiah studi pustaka dalam ruang lingkup bidang ilmu. Tujuan artikel ini membangun hipotesis pengaruh antar variabel yang akan digunakan pada riset selanjutnya. Objek riset pada pustaka online, Google Scholar, Mendeley dan media online akademik lainnya.  Metode riset dengan library risearch bersumber dari e-book dan open access e-journal. Analisis deskriftif kualitatif.  Hasil artikel ini: 1) pengelolaan sumber daya manusia  berpengaruh terhadap keberhasilan strategi penjualan ;  2) inovasi produk  berpengaruh terhadap keberhasilan strategi penjualan ; dan 3) pemasaran yang efektif  berpengaruh terhadap keberhasilan strategi penjualan .   
Pengaruh Data Mining, Strategi Perusahaan, Terhadap Laporan Kinerja Perusahaan Haryanti, Mayang Fadillah; Fauzi, Achmad; Jelita, Alvina Arum; Setiyowati, Anggi; Octarina, Azzahra; Edina, Edo Putra; Aulia, Reva Zahra; Fitriana, Sela
Jurnal Portofolio : Jurnal Manajemen dan Bisnis Vol. 3 No. 1 (2024): Evaluasi dan Kinerja Perusahaan
Publisher : Prisani Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70704/jpjmb.v3i1.285

Abstract

The rapid development of business in the digital era intensifies competition among companies. To survive, businesses must develop effective sales strategies based on accurate information. This study explores the impact of strategic datamining on company performance. Data mining techniques, such as classification and forecasting, help analyze sales data to predict trends, enabling production adjustments and sales optimization. Implementing data mining accelerates decision-making, increases sales, and reduces losses, making companies more competitive. Data mining is the process of extracting valuable information from large datasets, crucial for business improvement. It transforms transactional data into actionable insights, enabling automated and efficient analysis. This study shows that data mining enhances operational efficiency, data-driven decision-making, and predictive capabilities. Challenges like technical complexity and data quality must be addressed. In conclusion, data mining plays a vital role in improving company performance by identifying patterns, optimizing operations, and predicting future trends. This allows companies to enhance efficiency and competitive