scholarly journals Persepsi dan Preferensi Petani terhadap Karakter Varietas Unggul Padi Gogo di Kabupaten Boyolali, Jawa Tengah

JURNAL PANGAN ◽  
2022 ◽  
Vol 30 (3) ◽  
pp. 155-166
Author(s):  
Dewi Sahara ◽  
Chanifah Chanifah ◽  
Elly Kurniyati ◽  
Budi Hartoyo
Keyword(s):  
Perceptual Mapping

Perluasan tanam padi saat ini di lahan sawah non irigasi dengan varietas unggul baru (VUB) padi gogo. Penelitian bertujuan untuk mengetahui persepsi petani terhadap karakter tanaman, karakter beras dan karakter nasi, serta mengetahui preferensi petani terhadap karakter nasi VUB padi gogo. Penelitian dilaksanakan di Desa Tegalgiri, Kecamatan Nogosari, Kabupaten Boyolali pada bulan April–Juli 2020 dengan metode survei kepada petani yang menanam padi gogo varietas Rindang 1, Rindang 2, Inpago 10, Inpago 12 dan Ciherang. Data dianalisis secara deskriptif dengan nilai rata-rata, teknik skoring dengan Perceptual Mapping dan nilai persentase. Hasil penelitian menunjukkan petani memiliki persepsi yang baik terhadap karakter tanaman pada varietas Inpago 12 karena mempunyai produktivitas tertinggi (5,81 ton/ha GKG), terhadap karakter beras pada varietas Rindang 1 dan Inpago 12, terhadap karakter nasi pada varietas Rindang 2, Inpago 10 dan Ciherang. Preferensi petani terhadap karakter nasi VUB padi gogo tertinggi diperoleh pada varietas Rindang 2 (96,7 persen) karena memiliki rasa nasi yang lebih manis dan tekstur nasi pulen. Oleh karena itu untuk mengembangkan varietas padi gogo perlu memerhatikan produktivitas tanaman, warna dan ukuran beras serta rasa dan tekstur nasi.

Brand Positioning and Segmentation of Sneakers through Multi-Dimensional Customer Experience Analysis

2021 ◽  
Vol 13 (2) ◽  
pp. 335-345
Author(s):  
R. Senthilkumar ◽  
B. RubanRaja ◽  
Monisha
Keyword(s):  
Text Analysis ◽  
Customer Experience ◽  
Structured Data ◽  
Multivariate Techniques ◽  
Brand Positioning ◽  
Customer Reviews ◽  
Perceptual Mapping ◽  
Analysis Techniques ◽  
Hidden Patterns ◽  
And Cluster Analysis

A huge corpus of valuable information on customer experience is available as unstructured form in customer reviews on e-commerce websites. Multivariate data analysis techniques are effective in uncovering hidden patterns and segments in structured data. A major challenge is to convert the unstructured data into a structured form for applying multivariate techniques. In this article, we have provided a text analysis based approach coupled with multivariate techniques to uncover the sentiment of various features associated with different brands and to determine the brand positions and segments through perceptual mapping and cluster analysis.

Impact of medical mistrust (MM) on perceptions of tumor genomic profiling (TGP) among African American (AA) cancer patients: Application of perceptual mapping (PM).

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e22527-e22527
Author(s):  
Michael J. Hall ◽  
Paul D'Avanzo ◽  
Yana Chertock ◽  
Jesse A Brajuha ◽  
Sarah Bauerle Bass
Keyword(s):  
Cancer Patients ◽  
Test Performance ◽  
Information Needs ◽  
University Hospital ◽  
Urban Site ◽  
Cancer Center ◽  
Medical Mistrust ◽  
Chi Square ◽  
Perceptual Mapping ◽  
Chi Square Analysis

e22527 Background: TGP is widely used to identify targetable mutations for precision cancer treatment and clinical trials. Many patients have poor understanding of TGP and are unaware of possible secondary hereditary risks. Lack of clarity regarding the relevance of informed consent and genetic counseling further magnify risks for patients. AA patients have lower genetic knowledge and health literacy and higher MM than Caucasian patients, making them especially vulnerable in the clinical setting. Perceptions of TGP in AA cancer patients have not been well-characterized. Methods: 120 AA pts from 1 suburban and 1 urban site (Fox Chase Cancer Center[FCCC] and Temple University Hospital[TUH]) were surveyed. A k-means cluster analysis using a modified MM scale was conducted; chi-square analysis assessed demographic differences. Perceptual mapping (PM)/multidimensional scaling and vector modeling was used to create 3-dimensional maps to study how TGP barriers/facilitators differed by MM group and how message strategies for communicating about TGP may also differ. Results: Data from 112 analyzable patients from FCCC (55%) and TUH (45%) were parsed into less MM (MM-L, n = 42, 37.5%) and more MM (MM-H, n = 70, 72.5%) clusters. MM-L and MM-H clusters were demographically indistinct with no significant associations by sex (p = 0.49), education (p = 0.3), income (p = 0.65), or location (p = 0.43); only age was significant (older = higher MM, p = 0.006). Patients in the MM-H cluster reported higher concerns about TGP, including cost (p < 0.001), insurance discrimination (p < 0.001), privacy breaches (p = 0.001), test performance/accuracy (p = 0.001), secondary gain by providers (p < 0.001) and provider ability to explain results (p = 0.04). Perceptual mapping identified both shared and contrasting barriers between MM clusters (Table). Conclusions: More than 2/3 of AA patients comprised a MM-H cluster. Communication strategies should focus on concerns about family and how to discuss TGP with an oncologist. PM can identify distinct and shared information needs of vulnerable populations undergoing TGP. [Table: see text]

HCV Treatment Perceptual Mapping Survey

2018 ◽  
Author(s):  
Sarah Bauerle Bass ◽  
Amy Jessop ◽  
Laurie Maurer ◽  
Muhamed Gashat ◽  
Mohammed Al Hajji ◽  
...  
Keyword(s):  
Hcv Treatment ◽  
Perceptual Mapping

Perceptual Mapping Based on Idiosyncratic Sets of Attributes

1994 ◽  
Vol 31 (1) ◽  
pp. 15-27 ◽  
Author(s):  
Jan-Benedict E.M. Steenkamp ◽  
Hans C.M. Van Trijp ◽  
Jos M.F. Ten Berge
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Predictive Validity ◽  
Structural Reliability ◽  
Procrustes Analysis ◽  
Mapping Procedure ◽  
Estimation Techniques ◽  
Perceptual Mapping ◽  
Generalized Procrustes Analysis ◽  
Mapping Techniques

The authors describe a compositional perceptual mapping procedure, unrestricted attribute-elicitation mapping (UAM), which allows consumers to describe and rate the brands in their own terminology and thus relaxes the restrictive assumptions of traditional compositional mapping techniques regarding the structure and interpretation of the set of attributes. They compare the performance of three estimation techniques for constructing a group space based on the idiosyncratic data, namely, INDSCAL, CANCOR, and generalized procrustes analysis (GPA). Their findings indicate that the three estimation techniques perform about equally well. UAM also is compared with traditional compositional mapping. They find that UAM is superior on fit of the solution, interpretability, and sample reliability. UAM probably holds an edge with respect to data collection. Traditional compositional mapping is superior on ease of data analysis. No major difference was found on predictive validity and structural reliability.

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