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KONTRIBUSI SEKTOR JASA KEUANGAN TERHADAP PRODUK DOMESTIK REGIONAL BRUTO KOTA PAREPARE Arsani , M. Fachril; Hatta , Muhammad; Nur , Muhammad
Cateris Paribus Journal Vol. 3 No. 1 (2023): Cateris Paribus Journal
Publisher : Program Studi Ekonomi Pembangunan Fakultas Ekonomi dan Bisnis Universitas Muhammadiyah Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/cpj.v3i1.3155

Abstract

Abstrak Produk Domestik Regional Bruto (PDRB) adalah jumlah nilai tambah bruto yang timbul dari seluruh sektor perekonomian di daerah tersebut. Penelitian ini bertujuan untuk mengetahui kontribusi sektor jasa keuangan terhadap produk domestik regional bruto Kota Parepare. Teknik pengumpulan data yang digunakan dalam penelitian ini yaitu, wawancara,observasi dan dokumentasi. Jenis data yang digunakan data kuantitatif dan data kualitatif dengan sumber data paper, person dan place. Teknis analisis data yang digunakan adalah metode deskriptif kuantitatif. Setelah melalui proses analisis, hasil penelitian menunjukkan bahwa kontribusi sektor jasa keuangan terhadap produk domestik regional bruto Kota Parepare relative meningkat dengan rata-rata kontribusi sebesar 8.85% dan penyaluran kredit perbankan terus meningkat dari tahun ke tahun.
Analysis of Productivity Measurement in CPO Production Using OMAX Method sakti, Ade Dwi; Hartati , Misra; Nur , Muhammad; Harpito, Harpito
Spektrum Industri Vol. 21 No. 2 (2023): Spektrum Industri - October 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v21i2.145

Abstract

The primary focus of this research revolves around the measurement of productivity and the factors that impact Crude Palm Oil (CPO) production which currently faces challenges in assessing whether existing productivity falls into the 'satisfactory' category. The contribution of this study is conducting a comprehensive productivity assessment, focusing on metrics and identifying the causes of productivity decline, especially potential points of failure. The measurement indicators use the Objective Matrix (OMAX) method which includes five ratios, including raw material utilization, energy consumption, labor efficiency, optimization of production targets, and production capacity utilization. The Analytical Hierarchy Process (AHP) is used to assign relative weight to factors that contribute to overall productivity. In addition, Failure Modes and Effects Analysis (FMEA) functions as a tool to determine the causes of decreased productivity by considering the potential for failure to occur. The research results show that productivity reached its highest point in March at 219.93% and the lowest in July at -67.33%. Based on the score assessment, this decline was mainly caused by the lack of optimal achievement of production targets, symbolized by a ratio of 4 to a score of 45. Potential causes for this ratio include non-compliance in selecting FFB that meets standards, and production standards that are too ambitious. targets, and mental and physical fatigue and stress. To improve overall performance, proposed improvements include the application of Internet of Things (IoT) technology, such as the use of sensors and automation systems in production processes, as well as investment in agricultural technology as a monitoring system. This increase is aimed at achieving higher production targets and overall efficiency.
Integrative Model of Training and Motivation as a Strategy to Improve the Operational Performance of Brimob Personnel Mustanir, Ahmad; Tahir, Rahmat; Nur , Muhammad
Journal of Indonesian Rural and Regional Government Vol 9 No 1 (2025): Special Issue
Publisher : Magister Ilmu Pemerintahan Sekolah Tinggi Pembangunan Masyarakat Desa "APMD" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47431/jirreg.v9i1.675

Abstract

This study aims to analyze the influence of training and motivation on the performance of members of the South Sulawesi Police Pioneer Battalion A and formulate an integrative model that can be used as a strategy to improve operational performance. Using a quantitative approach with a correlational design, data was collected from 85 respondents through a Likert scale questionnaire. Data analysis was carried out by multiple linear regression using SPSS version 25. The results showed that training had a positive and significant effect on performance (β = 0.421; p < 0.05) and motivation had a greater influence on performance (β = 0.537; p < 0.05). Simultaneously, training and motivation explain 61% of the variation in member performance (R² = 0.610). These findings resulted in an Integrative Model of Training and Motivation as a strategic recommendation, which emphasizes the importance of a combination of improving technical competence through training and strengthening internal motivation through ongoing motivation programs. This model can be a reference in the formulation of human resource development policies within the Brimob.