scholarly journals STRATEGI PENGEMBANGAN MODEL PEMASARAN BERAS ORGANIK BERBASIS CONSUMER’S MARKET DI KABUPATEN BANYUMAS

2017 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Amy Hartati ◽  
Dindy Darmawati Putri
Keyword(s):  
Principal Component Analysis ◽  
Qualitative Analysis ◽  
Principal Component ◽  
Complete Information ◽  
Survey Method ◽  
Factors Affecting ◽  
Organic Rice ◽  
Physical Chemical ◽  
Biological Characters ◽  
Farmer Groups

At  present,  many  farmer  groups  at  Banyumas  Regency  are  cultivating organic  rice.  Their  activities  are  very  progressive.  They  distribute  at  Baturraden, Sumbang,  Kedungbanteng,  and  Pekuncen.  The  activities  are  closed  relation  in  the market.  There  is  trend  in  moving  from  seller’s  merket  to  consumer’s  market.  The market  is  not  determined  by  middle  trader,  but  end  product   consumer  (consumers driven).  In  the  case,  consumer’s  require  complete  information  about  physical, chemical  and  biological  characters  of  product.  Therefore,  producers  must  enclose liable information on labels. The goals of  research were to analyze farming activity of organic rice, and study on consume’s preferences. Survey method was used, followed descriptive-qualitative analysis, and principal component analysis (PCA) for finding out  factors  affecting  consumers  in  buying  organic  rice  and  consuming  the  products based on profile and character of consumers. The research showed that (1) organic rice  cultivation  was  profitable;  (2)  Attributes  of  organic  rice  consisting  of  price,flavor,  availability,  and  guarantee  of  product  are  important;  (3)  Consumers  are satisfied to the organic rice producer’s perfomance in determining price and flavor. We recommend to the producer for maintenance of quality (flavour), availability and guarantee of product.

Reliability Parameters Forecasting for Transmission Lines Based on Principal Component Regression

2013 ◽  
Vol 291-294 ◽  
pp. 2381-2386 ◽  
Author(s):  
Wen Xia Liu ◽  
Ji Kai Xu ◽  
Hong Yuan Jiang ◽  
Yong Tao Shen
Keyword(s):  
Principal Component Analysis ◽  
Transmission Lines ◽  
Principal Component Regression ◽  
Principal Component ◽  
Forecasting Accuracy ◽  
Factors Affecting ◽  
Reliability Parameters ◽  
Impacting Factors ◽  
Simulation Results

It is the foundation for evaluating the reliability of transmission lines to obtain and analyze the original reliability parameters. However, these parameters depend on long- term statistic and calculation. In the case of lacking such parameters in a new project , this paper proposes a method of Principal Component Analysis to obtain the principal component of the impacting factors ,in which various factors affecting reliability parameters are taken into account. Through this method, we can use PCR to obtain the failure rate of the unknown transmission lines on the base of the known credible lines’ rates. The simulation results show that the proposed approach possesses higher forecasting accuracy and provides references for the power system dispatching departments and transmission lines maintenance departments.

scholarly journals Research on key influence factors of creativity development of applied undergraduates based on PCA

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Xiangmin Ren ◽  
Jingwei Yu
Keyword(s):  
Principal Component Analysis ◽  
Influence Factors ◽  
Principal Component ◽  
Heilongjiang Province ◽  
Key Factors ◽  
Factors Affecting ◽  
The Core ◽  
Creativity Development ◽  
Teachers And Students ◽  
Core Characteristics

Abstract Creativity is one of the core characteristics of talent; for this reason, the creativity development of applied undergraduates should be one of the basic components of their education. This article gives an overview of the meaning of the creativity of applied undergraduates and makes a literature knowledge-mining and expert investigation on the factors affecting the creativity development. We obtained more than 100 influencing factors, filtered out the duplicative factors, and formed the remaining factors into a questionnaire. A survey was conducted among 1460 teachers and students of some applied undergraduates in Heilongjiang Province. By using principal component analysis (PCA) to analyse the questionnaire, the key factors that affect the creativity development of applied undergraduates are obtained, and the key factors are systematically analysed. According to the results of the analysis, the specific ways and methods of the creativity development of applied undergraduates are put forward.

scholarly journals Diversity of entomopathogenic fungi associated with Mediterranean fruit fly (Ceratitis capitata (Diptera: Tephritidae)) in Moroccan Argan forests and nearby area: impact of soil factors on their distribution

BMC Ecology ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ayoub Hallouti ◽  
Mohamed Ait Hamza ◽  
Abdelaziz Zahidi ◽  
Rachid Ait Hammou ◽  
Rachid Bouharroud ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Entomopathogenic Fungi ◽  
Ceratitis Capitata ◽  
Chemical Properties ◽  
Principal Component ◽  
Fruit Fly ◽  
Component Analysis ◽  
Organic Content ◽  
Pathogenicity Test ◽  
Factors Affecting

Abstract Background Studying the ecology of biocontrol-agents is a prerequisite to effectively control medfly (Ceratitis capitata (Diptera: Tephritidae)) with entomopathogenic fungi. In this context, factors affecting the occurrence and distribution of medfly-associated entomopathogenic-fungi were studied. Soil samples (22) were collected from natural and cultivated areas of Souss-region Morocco. Results A total of 260 fungal isolates belonging to 22 species and 10 genera were obtained by using medfly pupae as bait. Medfly-associated fungi were detected in all studied soils and pupae infection percentages ranged from 3.33% to 48%. Two genera, Fusarium and Beauveria were the most frequent with 83 isolates (32%) and 50 isolates (19.23%) respectively. Pathogenicity test of isolated species against medfly pupae showed high mortality rates up to 91% for some strains. Principal component analysis (PCA) demonstrated a strong influence of origin, physical, and chemical properties of soil on the abundance of these fungi. In general, medfly-associated fungi were more abundant in soils with moderate pH (7.5 to 8) having high sand and organic content. High relative humidity negatively influenced the abundance of these fungi. Both factors directly affected the fungal infection percentages in pupae. The response of fungi to these parameters varied among species. According to principal component analysis (PCA), the soils of argan fields and forests were more suitable for the development of medfly-associated fungi than citrus orchards. Conclusions These results guide identifying suitable soils for the effective application of entomopathogenic fungi as biological control agents. In summary, isolated indigenous strains seem to be a promising option to control C. capitata.

Assessment of the differences in the physical, chemical and phytochemical properties of four strawberry cultivars using principal component analysis

2016 ◽  
Vol 194 ◽  
pp. 828-834 ◽  
Author(s):  
Dunja Šamec ◽  
Marina Maretić ◽  
Ivana Lugarić ◽  
Aleksandar Mešić ◽  
Branka Salopek-Sondi ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Physical Chemical ◽  
Strawberry Cultivars

Application of a very detailed soil survey method in viticultural zoning in Catalonia, Spain

OENO One ◽  
2009 ◽  
Vol 43 (2) ◽  
pp. 55 ◽  
Author(s):  
Josep Miquel Ubalde ◽  
Xavier Sort ◽  
Rosa Maria Poch
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Clustering Analysis ◽  
Survey Methodology ◽  
Principal Component ◽  
Soil Survey ◽  
Survey Method ◽  
Soil Maps ◽  
Soil Taxonomy ◽  
Soil Map

<p style="text-align: justify;"><strong>Aims</strong>: The aim of this study was to implement a very detailed soil survey methodology in 1,243 ha of vineyards in Catalonia (Spain) and analyse its suitability for viticultural zoning.</p><p style="text-align: justify;"><strong>Methods and results</strong>: The Soil Taxonomy at series level was used as the basis for classifying soils and delineating soil map units at 1:5,000 scale. A principal component analysis showed that most of the variability of soil properties, which was explained by factors related to water stress, iron chlorosis and vegetative growth, was not reflected exactly in the soil map unit classification. A k-means clustering analysis was proposed in order to group soils according to their potential for vine growing.</p><p style="text-align: justify;"><strong>Conclusion</strong>: A very detailed soil survey method, based on Soil Taxonomy, could be used as a basic map for viticultural zoning, when was directed at the differentiation of zones of distinct suitability for vineyard growing, by means of cluster analysis.</p><p style="text-align: justify;"><strong>Significance and impact of study</strong>: This study showed how very detailed soil maps, which can be difficult to interpret and put into practice, can be valorised as viticultural zoning maps by means of a simple methodology.</p>

scholarly journals Barriers to increasing fruit and vegetable intakes in the older population of Northern Ireland: low levels of liking and low awareness of current recommendations

2009 ◽  
Vol 13 (4) ◽  
pp. 514-521 ◽  
Author(s):  
Katherine M Appleton ◽  
Rory McGill ◽  
Charlotte Neville ◽  
Jayne V Woodside
Keyword(s):  
Principal Component Analysis ◽  
Northern Ireland ◽  
Telephone Survey ◽  
Principal Component ◽  
Fruit And Vegetable ◽  
Older Population ◽  
Factors Affecting ◽  
Five Factors ◽  
Willingness To Change ◽  
Low Levels

AbstractObjectiveTo investigate barriers to increasing fruit and vegetable (f + v) intakes in a large sample of the older population of Northern Ireland (NI), in relation to current intakes.DesignThe study was conducted using a telephone survey assessing f + v intakes, barriers to increasing intakes and various demographic and lifestyle characteristics. Barriers to increasing intakes were investigated using twenty-two closed-response items and one open-response item.SettingNI.SubjectsFour hundred and twenty-six older people from NI, representative of the older population of NI.ResultsPrincipal component analysis of the twenty-two closed-response items revealed five factors affecting f + v consumption. Significant associations with current intakes were found where greater f + v consumption was associated with greater ‘liking’ for f + v (B = 0·675, P < 0·01), greater ‘awareness of current recommendations’ for consumption (B = 0·197, P < 0·01) and greater ‘willingness to change’ (B = 0·281, P < 0·01). ‘Ease of consumption’ and ‘difficulties in achieving consumption’ were not associated with f + v intakes. Similar associations between f + v intakes and ‘liking’ and ‘awareness’ were also found in those consuming low intakes of f + v or those at risk of consuming low intakes. Low awareness and knowledge of recommendations were also found in response to the open-ended question in all groups, although some weight was also given here to environmental difficulties, such as cost and access.ConclusionsThese findings suggest that interventions aiming to increase f + v intakes in the older population of NI should focus predominantly on improving liking and improving knowledge and awareness of current recommendations.

Research on Waste Tubes Recycling with Material Properties in Wuhan

2014 ◽  
Vol 951 ◽  
pp. 133-136
Author(s):  
Min Zhang ◽  
Jia Ying Wang ◽  
Liang Liang Liang ◽  
Bin Hu ◽  
Wan Li Hu
Keyword(s):  
Principal Component Analysis ◽  
Material Properties ◽  
Research Result ◽  
Residual Effect ◽  
Principal Component ◽  
Effect Factors ◽  
Factors Affecting ◽  
Personal Profile ◽  
Is Theory ◽  
Main Factors

The theoretical framework of this research is Theory of Planned Behavior (TPB). And from personal profile, residual effect factors and attitudes to recycling, this research investigates the factors affecting residents’ behavior of recycling waste fluorescent tubes, the characteristics of the behavior and related preference. The survey data are collected by the means of questionnaires and their exploratory analysis is conducted by SPSS and Principal Component Analysis (PCA). The statistical result illustrates that the main factors affecting the behaviors are propaganda, enterprise, recycling device, stimulation and government. Based on the summary of research result, a recycling device used to recycle waste tubes in communities is designed to improve this research.

Factors Affecting Thermal and Moisture Comfort of Bamboo Fabric

2011 ◽  
Vol 332-334 ◽  
pp. 808-811 ◽  
Author(s):  
Meng xing Yang ◽  
Yi Zhang ◽  
Hua Wu Liu ◽  
Qiu Ting Zheng
Keyword(s):  
Thermal Conductivity ◽  
Mass Transfer ◽  
Principal Component Analysis ◽  
Heat And Mass Transfer ◽  
Principal Component ◽  
Variance Analysis ◽  
Factors Affecting ◽  
Fluid Permeability ◽  
Moisture Performance ◽  
Transfer Properties

The fluid permeability and thermal conductivity of bamboo, cotton and ramie fabrics were measured and analyzed using variance analysis and principal component analysis. After the evaluation of the heat and mass transfer properties of these fabrics, it was found that the bamboo fabric owns the best thermal and moisture performance, in terms of wearing comfort.

scholarly journals Analisis Asam Lemak Daging Anjing pada Bakso Sapi Menggunakan Gas Chromatography Mass Spectrometry (GCMS) yang Dikombinasikan dengan PCA (Principal Component Analysis)

2018 ◽  
Vol 1 (2) ◽  
pp. 117
Author(s):  
Irfan Nugraha ◽  
Pri Iswati Utami ◽  
Wiranti Sri Rahayu
Keyword(s):  
Mass Spectrometry ◽  
Fatty Acids ◽  
Principal Component Analysis ◽  
Fatty Acid ◽  
Qualitative Analysis ◽  
Principal Component ◽  
Caproic Acid ◽  
Eicosatrienoic Acid ◽  
Rapid Screening ◽  
Gas Chromatography Mass Spectrometry

ABSTRAKTingginya perbedaan harga daging, membuat beberapa penjual yang tidak etis mengganti daging sapi dengan daging anjing secara sengaja untuk mendapatkan keuntungan ekonomis. Tujuan dilakukan penelitian ini adalah untuk mengetahui kemampuan GCMS yang dikombinasi dengan kemometrika PCA untuk analisis cepat dari asam lemak anjing pada bakso formulasi dan bakso sapi di pasaran. Metode penelitian ini adalah non eksperimental berupa identifikasi profil asam lemak daging anjing  pada bakso sapi formulasi dan bakso sapi di pasaran. Hasil penelitian yang didapat berupa profil kromatogram GCMS menunjukkan bahwa terdapat perbedaan komposisi asam lemak antara daging anjing dan sapi. Pada lemak daging anjing muncul beberapa asam lemak yang tidak dimiliki oleh lemak daging sapi diantaranya asam kaproat, asam siklopentanetridekanoat, asam arakhidonat, asam 7,10,13- eikosatrienoat, asam 9,12,15- oktadekatrienoat. Analisis kualitatif dari kromatogram GCMS menggunakan PCA menunjukkan lemak sapi, anjing, kambing, babi dan ayam dapat diidentifikasi dan dibedakan. Analisis kualitatif kandungan lemak anjing dalam bakso sapi formulasi menunjukkan perbedaan antara bakso formulasi yang memiliki kedekatan mirip dengan lemak sapi serta yang mirip dengan lemak anjing. Analisis kualitatif lemak anjing pada bakso sapi di pasaran menunjukkan sampel tidak mengandung lemak anjing.Kata kunci : bakso, GCMS, lemak daging anjingABSTRACTDue to the high difference of meat price, some unethical seller replaces beef intentionally with dog meat to get economical profits. The objective of this study is to assess the capability of GCMS coupled with chemometrics of PCA for rapid screening of dog fat in beef meatball formulation and beef meatballs in the market. The method of this research is non experimental that is identification of fatty acid profile of dog meat in beef meatball simulation and beef meatballs in the market. The result obtained from GCMS chromatogram profile showed that there is a difference in fatty acid composition between beef and dog meat. In dog meat fat appears some fatty acids that are not owned by beef fat i.e caproic acid, cyclopentanetridecanoic acid, arachidonate acid, 7,10,13-eicosatrienoic acid, 9,12,15-octadecatrienoic acid. Qualitative analysis from GCMS chromatogram using PCA showed that beef, dog, goat, pork and chicken can be identified and differentiated. Qualitative analysis of dog fat in simulated beef meatballs showed difference between simulated meatballs that have similar proximity to beef's fat as well as those that are similar to dog fat. Qualitative analysis of dog fat in beef meatballs in the market showed the sample doesn't contain dog fat. Keywords : dog meat fat, GCMS, meatball

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