Peningkatan Kesejahteraan Peternak Sapi Potong Sistem Bagi Hasil di Kecamatan Kulo, Kabupaten Sidenreng Rappang, Propinsi Sulawesi Selatan

The purpose of this study was to determine the increase in welfare of beef cattle production sharing systems. Data collection time is from January to February 2020. The research was conducted in Kulo Subdistrict, Sidenreng Rappang District, Survey Research Methodology. A sample of 64 farmers was taken (total sampling). Data analysis method is testing statistical models using SEM SmartPLS (Partial Least Square) 2.0. The results of the study explained that the Improvement of Beef Cattle Farmers' Welfare Sharing in the District of Kulo could be done with strategies to improve the aspects of individual farmers, improve stakeholder relations, and improve the quality of farmers.Â

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Pengaruh Pelayanan Tenaga Administrasi Dan Kualitas Kerja Tenaga Medis Terhadap Kepuasan Pasien BPJS yang Dimoderasi oleh Kepercayaan Pasien

Business Management Journal ◽

10.30813/bmj.v14i1.1116 ◽

2018 ◽

Vol 14 (1) ◽

Author(s):

Lukiyana Lukiyana ◽

Arsinta Arsinta

Keyword(s):

Patient Satisfaction ◽

Data Analysis ◽

User Satisfaction ◽

Sampling Technique ◽

Medical Personnel ◽

Partial Least Square ◽

Least Square ◽

Analysis Method ◽

Administrative Personnel

This study aims to analyze the effect of service quality on patient satisfaction BPJS users, analyze the service of administrative personnel to satisfaction, analyze the influence of the quality of medical workfor the user satisfaction BPJS.Kualitas service is a form of service provided by the service provider, in this case the hospital, with the quality of this service will impact on patient satisfaction. Research location at MH.Thamrin Hospital by taking samples of 100 patients using BPJS questionnaire. In this research using sampling technique using probabily sampling and data analysis method used in this research is PLS (Partial Least Square) 3.0. The result of this research is that the service of administration personnel is significant to the satisfaction of BPJS patient, the quality of the work of medical personnel is significant to the satisfaction of BPJS patient, the patient's trust is significant to the satisfaction of BPJS patient.Keywords: Customer Satisfaction, Trust, Work Quality

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HOW TRUST AND QUALITY OF INFORMATION AFFECT BUYING INTEREST AND PURCHASING DECISIONS? (study on Shopee customers in Samarinda)

International Journal of Economics Business and Accounting Research (IJEBAR) ◽

10.29040/ijebar.v4i01.910 ◽

2020 ◽

Vol 4 (01) ◽

Author(s):

Mochamad Ridwan ◽

Theresia Militina ◽

Gusti Norlitaria Achmad

Keyword(s):

Partial Least Square ◽

Least Square ◽

Quality Information ◽

Analysis Method ◽

Purchasing Decisions ◽

Validity And Reliability ◽

Quality Of Information ◽

Positive Effect ◽

Research Analysis

This study aims to determine the effect of confidence (trust) and Quality Information and Decision on Interest Buy Pebelian (Studies in Samarinda Shopee customers). Online shopping How to use the Internet through computers and mobile devices is increasingly popular smartphone can even be said to have become the trend of today. The population in this study is the customer who Shopee samarinda use application Shopee in transacting online, The samples in this study as many as 150 respondents. Methods Data collection is done by providing a list of questions or questionnaires to respondents that the study sample, where questionnaires were distributed through WhatApp application. This study uses data analysis tools is to test the validity and reliability test, then this research analysis method of partial least square (PLS). The tools used in processing the data using PLS Smart program Research results show that 1) Belief positive and significant impact on the buying interest of customers Shopee Samarinda, 2) trust has a positive effect but not significant to purchasing decisions of customers Shopee Samarinda, 3) Quality of information about positive and significant effect on the buying interest of customers Shopee Samarinda, 4) Quality of information about positive and significant effect to the purchasing decision of customers Shopee Samarinda, 5) buying interest and significant positive effect on customer purchasing decisions Shopee Samarinda,

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An approach to assess the quality of honey using partial least square method

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v11i6.pp4991-4998 ◽

2021 ◽

Vol 11 (6) ◽

pp. 4991

Author(s):

G. Rajalakshmi ◽

A. Gopal ◽

R. Pandian

Keyword(s):

Least Square Method ◽

Partial Least Square ◽

Least Square ◽

Natural Food ◽

Analysis Method ◽

Sugar Syrup ◽

Partial Least Square Method ◽

Ftir Spectrometer ◽

The Individual

The objective of the present study is to obtain the quantity of honey components such as moisture, glucose, fructose and sucrose in order to access the quality of honey. The tested honey samples are authenticated if the characteristics of a pure honey. The average ratio of 56% fructose to 44% glucose, but the ratios in the individual honeys ranged from a high of 64% fructose and 36% glucose to a low of 50% fructose and 50% glucose. The contents such as fructose and sucrose in honey is due to the presence of invertase enzymes. The organic acids present in the honey is responsible for the flavor and stability against the contamination of honey due to microorganisms. The natural food items are adulterated intentionally to increase the quantity and there by the quality gets affected. The main adulterants added in honey are sucrose, corn syrup, sugar syrup and jaggery syrup. The quantification deals in finding out the amount of basic constituents present in pure honey and adulterated honey using Fourier transform infrared (FTIR) spectrometer with the multivariate analysis and validating the same using chemical analysis method. The partial least square model is used in predicting the constituents of the samples.

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PENGARUH PENERAPAN STANDAR AKUNTANSI PEMERINTAHAN TERHADAP KUALITAS LAPORAN KEUANGAN PEMERINTAH DAERAH KABUPATEN BERAU

Accountia Journal (Accounting Trusted, Inspiring, Authentic Journal) ◽

10.35915/accountia.v3i02.381 ◽

2019 ◽

Vol 3 (02) ◽

pp. 383

Author(s):

DJUPIANSYAH GANIE

Keyword(s):

Local Government ◽

Financial Reporting ◽

Partial Least Square ◽

Least Square ◽

Significant Positive Effect ◽

Analysis Method ◽

Financial Reports ◽

Relevant Variables ◽

Positive Effect

The purpose of this study is to analyze the extent of the application of SAP in local government financial reporting and how the effect of its application to the quality of financial reports on the local government of Berau Regency. This research uses data analysis method with Partial Least Square (PLS) approach. The Effect of SAP Implementation on Relevant Variables in LKPD Berau District has a significant positive effect. The Effect of SAP Implementation on Reliable Variables in LKPD Berau District has a significant positive effect. It can be seen from the t-statistic value which is greater than 2.131 which is 5.532. Thus, the H3 hypothesis in this study was accepted. The effect of SAP Application on Understandable variables in the Berau District LKPD has a significant positive effect on the construction can be compared to the Berau District LKPD. This can be seen from the t-statistic value which is smaller than 2.131 which is 1.689. Thus, the H4 hypothesis in this study was rejected. Tujuan dari penelitian ini adalah untuk menganalisis sejauh mana penerapan SAP dalam pelaporan keuangan pemerintah daerah dan bagaimana efek penerapannya terhadap kualitas laporan keuangan pada pemerintah daerah Kabupaten Berau. Penelitian ini menggunakan metode analisis data dengan pendekatan Partial Least Square (PLS). Pengaruh Implementasi SAP terhadap Variabel yang Relevan di LKPD Kabupaten Berau memiliki efek positif yang signifikan. Pengaruh Implementasi SAP terhadap Variabel Yang Dapat Diandalkan di LKPD Kabupaten Berau memiliki efek positif yang signifikan. Hal ini dapat dilihat dari nilai t-statistik yang lebih besar dari 2,131 yaitu 5,532. Dengan demikian, hipotesis H3 dalam penelitian ini diterima. Pengaruh Aplikasi SAP terhadap variabel yang Dapat Dipahami di Kabupaten Berau, LKPD memiliki pengaruh positif yang signifikan terhadap konstruksi yang dapat dibandingkan dengan LKPD Kabupaten Berau. Hal ini dapat dilihat dari nilai t-statistik yang lebih kecil dari 2,131 yaitu 1,689. Dengan demikian, hipotesis H4 dalam penelitian ini ditolak.

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Environmental impacts of Brazilian beef cattle production in the Amazon, Cerrado, Pampa, and Pantanal biomes

Journal of Cleaner Production ◽

10.1016/j.jclepro.2021.127750 ◽

2021 ◽

pp. 127750

Author(s):

Milene Dick ◽

Marcelo Abreu da Silva ◽

Rickiel Rodrigues Franklin da Silva ◽

Otoniel Geter Lauz Ferreira ◽

Manoel de Souza Maia ◽

...

Keyword(s):

Beef Cattle ◽

Environmental Impacts ◽

Cattle Production ◽

Beef Cattle Production

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Identification of breeding objectives using a bioeconomic model for a beef cattle production system in Uruguay

Livestock Science ◽

10.1016/j.livsci.2013.12.006 ◽

2014 ◽

Vol 160 ◽

pp. 21-28 ◽

Cited By ~ 15

Author(s):

Maria Isabel Pravia ◽

Olga Ravagnolo ◽

Jorge Ignacio Urioste ◽

Dorian J. Garrick

Keyword(s):

Beef Cattle ◽

Production System ◽

Bioeconomic Model ◽

Cattle Production ◽

Breeding Objectives ◽

Beef Cattle Production

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Bioeconomic simulation of Rhipicephalus microplus infestation in different beef cattle production systems in the Brazilian Cerrado

Agricultural Systems ◽

10.1016/j.agsy.2021.103247 ◽

2021 ◽

Vol 194 ◽

pp. 103247

Author(s):

Maria Paula Cavuto Abrão Calvano ◽

Ricardo Carneiro Brumatti ◽

Jacqueline Cavalcante Barros ◽

Marcos Valério Garcia ◽

Kauê Rodriguez Martins ◽

...

Keyword(s):

Beef Cattle ◽

Production Systems ◽

Rhipicephalus Microplus ◽

Brazilian Cerrado ◽

Cattle Production ◽

Beef Cattle Production

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183 Designing Research for Beef Cattle Production in Extensive Environments

Journal of Animal Science ◽

10.1093/jas/skab235.177 ◽

2021 ◽

Vol 99 (Supplement_3) ◽

pp. 98-99

Author(s):

Timothy DelCurto ◽

Sam Wyffels

Keyword(s):

Beef Cattle ◽

Statistical Inference ◽

Multiple Regression ◽

Feed Intake ◽

Cattle Production ◽

Modeling Tools ◽

Activity Monitors ◽

Multiple Observations ◽

Wide Range ◽

Beef Cattle Production

Abstract Designing research for beef cattle production in rangeland environments is an ongoing challenge for researchers worldwide. Specifically, creating study designs that mirror actual production environments yet have enough observations for statistical inference is a challenge that often hinders researchers in efforts to publish their observations. Numerous journals will accept “case study” or observational results that lack valid statistical inference. However, these journals are limited in number and often lack impact. Approaches are available to gain statistical inference by creating multiple observations within a common group of animals. Approaches to increasing statistical observations will be discussed in this presentation. Modeling animal behavior and performance on extensive rangeland landscapes is commonly practiced in wildlife ecology and, more recently, has been published in Animal Science journals. Additionally, new technology has made it possible to apply treatments (e.g., supplementation studies) to individual animals on extensive environments where large, diverse herds/flocks of cattle/sheep are managed as a single group. Use of individual animal identification (EID) and feed intake technology has opened a wide range of research possibilities for beef cattle production systems research in rangeland environments. Likewise, global positioning system (GPS) collars and activity monitors have created the opportunity to evaluate animal grazing behavior in remote and extensive landscapes. The use of multiple regression models to evaluate resource use in extensive environments will, in turn, help managers optimize beef cattle production and the sustainable use of forage/rangeland resources. Embracing new technologies such as GPS, activity monitors, EID tags, and feed intake monitors combined with multiple regression modeling tools will aid in designing and publishing beef cattle production research in extensive rangeland environments.

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PSVIII-19 Greenhouse gas emissions from beef cattle production in Brazil: how we can mitigate from animal operations?

Journal of Animal Science ◽

10.1093/jas/skab235.771 ◽

2021 ◽

Vol 99 (Supplement_3) ◽

pp. 430-430

Author(s):

Andre Pastori D Aurea ◽

Abmael S da Silva Cardoso ◽

Lauriston Bertelli Fernandes ◽

Ricardo Andrade Reis ◽

Luis Eduardo Ferreira ◽

...

Keyword(s):

Carbon Dioxide ◽

Beef Cattle ◽

Agricultural Sector ◽

Average Daily Gain ◽

Ghg Emissions ◽

Primary Data ◽

Cattle Production ◽

Production Chain ◽

Beef Cattle Production ◽

Carbon Dioxide Equivalent

Abstract In Brazil beef cattle production is one of the most important activities in the agricultural sector and has an important impact on environmental and resources consumption. In this study assessed greenhouses gases (GHG) impacts from on farms representative productive system and the possible improvements of the production chain. Primary data from animal production index and feeding were collected from 17 farms, which covers 300.000 animals and 220.000 hectares. Emissions of methane, nitrous oxide and carbon dioxide were made using intergovernmental panel on climate change (IPCC) guidelines for national inventories. The GHG inventory included emissions from animals, feeds and operations for animal operation from “cradle to farm gate”. Emissions of each farm were converted to carbon dioxide equivalent (CO2eq) and divided by carcass production. Regression analysis between carbon dioxide equivalent and productive index was run to identify possible hotspot of GHG emissions. A large variation between farms were observed. The GHG yield ranged from 8.63 kg to 50.88 CO2eq kg carcass-1. The productive index age of slaughtering (P < 0.0001), average daily gain (P < 0.0001) and productivity (P = 0.058) per area were positive correlated to GHG yield. While no correlation was found with stocking rate (P = 0.21). Improvements of the production chain could be realized by accurate animal management strategies that reduce the age of slaughtering (feeding and genetic improvements) and gain individual or per area using strategic animal supplementation and pasture management, in order to obtains reduction of GHG emissions of beef cattle.

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