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Analisis Efisiensi Pelayanan Puskesmas sekota Padang tahun 2023 dengan pendekatan Data Envelopment Analysis Setiawan, Ruli; Rahmizal, Maizul; Dina, Rusy
Media Riset Ekonomi Pembangunan (MedREP) Vol. 2 No. 1 (2025): MedREP: Volume 2, No. 1, Maret 2025
Publisher : Universitas Negeri Padang

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Abstract

The purpose of this study is to find out the efficiency of health center services in Padang City in 2023. The method used in the study is data envelopment analysis, with two models, the first is the output-oriented VRS model and the output-oriented CRS model. The input variables used to measure this efficiency are from operational health assistance, the number of doctors, the number of midwives and nurses. While the output variables consist of outpatients, and visits by pregnant women, and the number of toddlers weighed. The results of the study with the VRS input-oriented model showed that there were 14 health centers experiencing efficiency and 10 health centers that were not efficient.
Analisis Hubungan antar produk dalam pola belanja konsumen dengan Algoritma Apriori Afriosa Syawitri; Syawitri, Afriosa; Hidayatullah, Siti Rahmi; Dina, Rusy
Visioner : Jurnal Manajemen dan Bisnis Vol 14 No 01 (2025): VISIONER: JURNAL MANAJEMEN DAN BISNIS
Publisher : Sekolah Tinggi Ilmu Ekonomi Balikpapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52630/jmbv.v14.i01.105

Abstract

Toko fitri hijab merupakan salah satu toko yang menjual hijab, pada toko ini terdapat banyak transaksi yang dapat dimanfaatkan dan dapat dikelola untuk menghasilkan suatu informasi. Analisa transaksi yang ada pada toko ini dapat membantu pemilik toko untuk membuat suatu strategis bisnis, seperti mengetahui barang yang sering dibeli secara bersamaan. Data mining merupakan bidang dari beberapa bidang keilmuan yang menyatukan teknik dari pembelajaran mesin, pengenalan pola, statistika, database dan visualisasi untuk pengenalan permasalahan pengambilan informasi dari database yang besar. Salah satu algoritma dari teknik data mining yang dapat digunakan untuk mencari pola belanja konsumen adalah algoritma apriori. Algoritma apriori merupakan salah satu algoritma pada data mining yang digunakan untuk pengambilan data dengan aturan asosiatif dalam menentukan hubungan suatu kombinasi item. Dari analisis data menggunakan bahasa pemograman phyton ini didapatkan 2 aturan asociation rule yaitu : Jika membeli hijab instan maka akan membeli hijab segi empat dengan nilai confidence 0.53 dan jika membeli hijab segi empat maka akan membeli hijab instan dengan nilai confidence 0.57.
Determinan Penyerapan Tenaga Kerja Sektor Industri Manufaktur Besar dan Sedang di Indonesia Disti Khuzi, Mela; Nelonda, Selli; Dina, Rusy
Media Riset Ekonomi Pembangunan (MedREP) Vol. 2 No. 2 (2025): MedREP: Volume 2, No. 2, Juni 2025
Publisher : Universitas Negeri Padang

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Abstract

Labor absorption reflects the company's capacity to employ labor. The large and medium-scale manufacturing sector has an important role in supporting the Indonesian economy, with the hope of providing added value and absorbing a significant amount of labor. This study aims to evaluate the effect of wage, capital, and output variables on the level of labor absorption in the sector, using panel data from 34 provinces during the period 2017 to 2022 through a fixed effect model approach. The results of the analysis show that wage and output variables have a positive and significant impact, while capital shows a negative and significant effect on labor absorption in the large and medium manufacturing industry sector. This finding suggests that increasing capital risks encouraging automation that reduces the role of labor. Therefore, policies are needed that support labor-intensive sectors so that technological efficiency remains in line with increasing employment opportunities.
Pengaruh Horizontal Mismatch terhadap Upah Tenaga Kerja di Indonesia Yoselina, Aulia Indah; Marta, Joan; Dina, Rusy
Jurnal Kajian Ekonomi dan Pembangunan Vol 6, No 2 (2024): Jurnal Kajian Ekonomi dan Pembangunan (Agustus 2024)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jkep.v6i2.16613

Abstract

This study aims to examine the effect of horizontal mismatches on labor wages from various wage groups. This research uses a quantitative approach with secondary data from the 2020 BPS National Labor Force Survey. The method used is quantile regression by dividing wages into 5 quantiles (0.10, 0.25, 0.50, 0.75, and 0.90). The results show that horizontal mismatch at the D1-D3 education level has a negative and significant effect on labor wages at the middle and lower middle wage levels. This is because the ability to transfer knowledge from education and training of vocational graduates is limited. However, this is inversely proportional to the high wage level, horizontal mismatch has a positive and significant effect on labor wages. Meanwhile, horizontal mismatch at the D4-S3 education level has a positive and significant effect in all quantiles, this is because bachelor graduates have more job opportunities than vocational graduates.