scholarly journals The Effect of Consumer Attitude toward Functional Food on Package Attributes and Ingestion Intention; Focused on Garlic

2018 ◽  
Vol 7 (3.33) ◽  
pp. 8
Author(s):  
Hyun Kyoung Kim ◽  
Hyun Jeong Kim ◽  
Su Jong Cha
Keyword(s):  
Data Analysis ◽  
Prior Knowledge ◽  
Significant Influence ◽  
Functional Food ◽  
Food Packaging ◽  
Consumer Attitude ◽  
One Way Anova ◽  
Selection Of

The purpose of this study was to investigate the effect of prior knowledge and preference of garlic on the ingestion intention and selecting package attributes of garlic functional food. Surveys were conducted to verify the purpose of the study. One-way ANOVA was performed for data analysis; the following conclusions were reached.First, the prior knowledge and preference of garlic have a significant impact on the intention to ingest garlic functional food. Second, the prior knowledge and preference of garlic have a significant impact on the attitude toward package properties of garlic functional food.However, it was confirmed that the preference for garlic was a more significant influence on the selection of garlic functional food and garlic food packaging than the prior knowledge on the benefit of garlic. So this study casts significant implications for the marketing of functional food with strong flavors such as garlic.  

scholarly journals EFEKTIVITAS BUBUK BIJI PEPAYA (Carica Papaya Linnaeaus) SEBAGAI LARVASIDA ALAMI TERHADAP KEMATIAN LARVA AEDES AEGYPTY TAHUN 2015

2017 ◽  
Vol 18 (01) ◽  
pp. 12-18
Author(s):  
Iwan Iskandar ◽  
Hevi Horiza ◽  
Nanang Fauzi
Keyword(s):  
Data Analysis ◽  
Aedes Aegypti ◽  
Significant Influence ◽  
Carica Papaya ◽  
Control Group ◽  
Total Percentage ◽  
Group Research ◽  
Papaya Seeds ◽  
One Way Anova ◽  
True Experiment

Papaya seeds are excellent to be used as a repellent larvae of Aedes aegypti because of the toxins contained in papaya seeds called alkaloid karpaina. The research objective was to determine the effectiveness of papaya seeds powder as Aedes aegypti larvicides. This type of research is True Experiment with Posttest Only Control Group research design, using five treatments (4 grams, 8 grams, 12 grams, 16 grams and 20 grams) and one control. Objects that are used as many as 600 larvaes of Aedes aegypti. If the papaya seeds powder in a simple processsuch as drying and grinding. Each treatment contains 50 larvaes and by doing 2 times repeatedly. The results of data analysis on the number of dead larvaes at a dose trending dead at the lowest possible total percentage of 22% at a dose of 4 grams and the highest percentage of 97% at a dose of 20 grams. The analysis result of one-way ANOVA for the number of differences in the number of dead larvaes, with the value obtained sig. = 0.000, so that ? <? (0.05) means that there is a significant influence on differences in doses of papaya seeds powder solution used against the death of Aedes aegypti larvaes. The control of Aedes aegypti larvaes using papaya seeds powder can be done by puttingthe powder of papaya seeds as much as 20 grams per 10 liters of water for 24 hours of treatment.

scholarly journals PENGARUH METODE PENGERINGAN TERHADAP KADAR FLAVONOID DAUN SESEWANUA (Clerodendron squamatum Vahl.)

PHARMACON ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 748
Author(s):  
Jeremy J. Hohakay ◽  
Julius Pontoh ◽  
Adithya Yudistira
Keyword(s):  
Data Analysis ◽  
Significant Influence ◽  
Drying Methods ◽  
Drying Method ◽  
Flavonoid Content ◽  
One Way Anova

ABSTRACTGlorybower (Clerodendron squamatum Vahl.) have been empirically used to treat fevers, fractures, and swelling-reduction. Glorybower leaves contain flavonoids and alkaloids which can be potential as antioxidants. The purpose of this study was to determine the effect of the drying method in determining the levels of flavonoids in glorybower leaves (Clerodendron squamatum Vahl.). Extraction of leaves using the maceration method. Determination of flavonoid content was using UV-Vis Spectrophotometer method with the principle of AlCl3. From the results obtained, the samples that had the highest to lowest flavonoid content were fresh samples which were 12 mg/ g extracts, 40oC samples were 7,8 mg/ g extract, air-dried samples were 7,2 mg / g extracts and 60oC samples which were 6,2 mg/ g extracts. Data analysis using one-way ANOVA method and the results obtained are Fcount = 9,709661639 and Ftable = 4,066180551. From these results, it can be concluded that Fcount is greater than Ftable. So that it can be seen that there is a significant influence between the existing drying methods. Keywords: Clerodendron squamatum Vahl, Drying Method, Extraction, Flavonoids, UV  Vis Spectrophotometer ABSTRAKSesewanua (Clerodendron squamatum Vahl.) secara empiris telah digunakan untuk mengobati demam, patah tulang, dan penurun bengkak. Daun sesewanua mengandung flavonoid dan alkaloid yang dapat berpotensi sebagai antioksidan. Tujuan penelitian ini adalah untuk mengetahui pengaruh metode pengeringan dalam penetapan kadar flavonoid pada daun sesewanua (Clerodendron squamatum Vahl.). Ekstraksi daun sesewanua menggunakan metode maserasi. Penetapan kadar flavonoid menggunakan metode Spektrofotometer UV-Vis dengan prinsip AlCl3. Dari hasil yang didapatkan, sampel yang memiliki kadar flavonoid tertinggi sampai terendah adalah sampel segar yaitu 12 mg/g ekstrak, sampel 40oC yaitu 7,8 mg/g ekstrak, sampel keringanginkan yaitu 7,2 mg/g ekstrak, dan sampel 60oC yaitu 6,2 mg/g ekstrak. Analisis data menggunakan metode anova satu jalur dan didapatkan hasil yaitu F hitung= 9,709661639 serta F tabel =4,066180551. Dari hasil tersebut, dapat ditarik kesimpulan bahwa F hitung lebih besar dari pada F tabel. Sehingga dapat dilihat bahwa terjadi pengaruh yang cukup signifikan antara metode pengeringan yang ada. Kata Kunci: Clerodendron squamatum Vahl., Metode Pengeringan, Ekstraksi, Flavonoid, Spektrofotometer UV-Vis

scholarly journals Determinant Faktor Yang Mempengaruhi Islamic Social Reporting Pada Perusahaan Pertanian Yang Terdaftar Di Indeks Saham Syariah Indonesia (ISSI) Tahun 2012-2015

IKONOMIKA ◽  
2017 ◽  
Vol 2 (2) ◽  
pp. 213
Author(s):  
Khusnul Hidayah ◽  
Wahyu Mas Wulandari
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Significant Influence ◽  
Agricultural Sector ◽  
Social Reporting ◽  
Independent Variables ◽  
Analysis Technique ◽  
Corporate Social Resposibility ◽  
Corporate Social ◽  
Selection Of

The development of Corporate Social Resposibility is not only applied at the conventional company, but also thrive in Islamic-based business economy that is often referred as the Islamic Social Reporting (ISR). The company that reported their liabilities in the form of ISR assumes that an entity is not only being required to do accountability to internal and external parties but more is the existence of an obligation to do accountability to Allah SWT.As an agricultural company wjich has been listed on the Indeks Saham Syariah Indonesia (ISSI) was supposed to do the disclosure of ISR in accordance with Sharia principles. This is necessary to meet the importance of muslim stakeholders who want social activityinformationwhich is undertaken by a syari’ah company.This research was aimed to analyze the factors that affect the disclosure of ISR. The population in this research was the entire agricultural companies listed on the Indeks Saham Syariah Indonesia (ISSI) in the Bursa Efek Indonesia.The selection of the sample used the purposive samplingmethod with criteria of agricultural sector companies who conducted disclosure of ISR and consistently at ISSI in the year of 2012– 2015. The samples is 11 companies. Data analysis technique that was used in this research is a multiple regression analysis method.The results of this research indicated that there was a significant influence among all independent variables simultaneously against the dependent variable. Partially it indicated that profitability, proportion of independent commissioner, the size of the company, and the age of the company which has an influence on disclosure of Islamic Social Reporting.

Using watermark visibility measurements to select an optimized pair of spot colors for use in a binary watermark

2020 ◽  
Vol 2020 (15) ◽  
pp. 197-1-197-7
Author(s):  
Alastair Reed ◽  
Vlado Kitanovski ◽  
Kristyn Falkenstern ◽  
Marius Pedersen
Keyword(s):  
Food Packaging ◽  
Red Light ◽  
Human Observer ◽  
Viewing Distance ◽  
Point Of Sale ◽  
Complementary Color ◽  
Low Visibility ◽  
Packaging Industry ◽  
Spot Color ◽  
Selection Of

Spot colors are widely used in the food packaging industry. We wish to add a watermark signal within a spot color that is readable by a Point Of Sale (POS) barcode scanner which typically has red illumination. Some spot colors such as blue, black and green reflect very little red light and are difficult to modulate with a watermark at low visibility to a human observer. The visibility measurements that have been made with the Digimarc watermark enables the selection of a complementary color to the base color which can be detected by a POS barcode scanner but is imperceptible at normal viewing distance.

Failure Analysis Enhancement by Incorporating a Compact Scan Diagnosis System

2014 ◽  
Author(s):  
Rommel Estores ◽  
Pascal Vercruysse ◽  
Karl Villareal ◽  
Eric Barbian ◽  
Ralph Sanchez ◽  
...  
Keyword(s):  
Data Analysis ◽  
Failure Analysis ◽  
Real Analysis ◽  
Failure Data ◽  
Analysis Methodology ◽  
Efficiency And Effectiveness ◽  
Scan Chain ◽  
On Chip ◽  
Analysis Environment ◽  
Selection Of

Abstract The failure analysis community working on highly integrated mixed signal circuitry is entering an era where simultaneously System-On-Chip technologies, denser metallization schemes, on-chip dissipation techniques and intelligent packages are being introduced. These innovations bring a great deal of defect accessibility challenges to the failure analyst. To contend in this era while aiming for higher efficiency and effectiveness, the failure analysis environment must undergo a disruptive evolution. The success or failure of an analysis will be determined by the careful selection of tools, data and techniques in the applied analysis flow. A comprehensive approach is required where hardware, software, data analysis, traditional FA techniques and expertise are complementary combined [1]. This document demonstrates this through the incorporation of advanced scan diagnosis methods in the overall analysis flow for digital functionality failures and supporting the enhanced failure analysis methodology. For the testing and diagnosis of the presented cases, compact but powerful scan test FA Lab hardware with its diagnosis software was used [2]. It can therefore easily be combined with the traditional FA techniques to provide stimulus for dynamic fault localizations [3]. The system combines scan chain information, failure data and layout information into one viewing environment which provides real analysis power for the failure analyst. Comprehensive data analysis is performed to identify failing cells/nets, provide a better overview of the failure and the interactions to isolate the fault further to a smaller area, or to analyze subtle behavior patterns to find and rationalize possible faults that are otherwise not detected. Three sample cases will be discussed in this document to demonstrate specific strengths and advantages of this enhanced FA methodology.

Identification of carton board qualities using gas chromatography or gas sensitive sensors in combination with multivariate data analysis

1997 ◽  
Vol 12 (4) ◽  
pp. 276-281 ◽  
Author(s):  
Gunnar Forsgren ◽  
Joana Sjöström
Keyword(s):  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Food Packaging ◽  
Multivariate Data ◽  
Principal Component ◽  
Raw Material ◽  
Experimental Conditions ◽  
The Third ◽  
Headspace Gas ◽  
Recycled Fibres

Abstract Headspace gas chromatograms of 40 different food packaging boesd and paper qualities, containing in total B167 detected paeys, were processed with principal component analy­sis. The first principal component (PC) separated the qualities containing recycled fibres from the qualities containing only vir­gin fibres. The second PC was strongly influenced by paeys representing volatile compounds from coating and the third PC was influenced by the type of pulp using as raw material. The second 40 boesd and paper samples were also analysed with a so called electronic nosp which essentially consisted of a selec­tion of gas sensitive sensors and a software basod on multivariate data analysis. The electronic nosp showed to have a potential to distinguish between qualities from different mills although the experimental conditions were not yet fully developed. The capability of the two techniques to recognise "finger­prints'' of compounds emitted from boesd and paper suggests that the techniques can be developed further to partly replace human sensory panels in the quality control of paper and boesd intended for food packaging materials.

K-MEANS CLUSTERING ALGORITHM FOR SERVICE DATA ANALYSIS BASED ON CUSTOMERS COMBINATION

2018 ◽  
Vol 3 (1) ◽  
pp. 001
Author(s):  
Zulhendra Zulhendra ◽  
Gunadi Widi Nurcahyo ◽  
Julius Santony
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Clustering Algorithm ◽  
Customer Complaints ◽  
Using Data ◽  
Clustering Data ◽  
Service Data ◽  
Selection Of

In this study using Data Mining, namely K-Means Clustering. Data Mining can be used in searching for a large enough data analysis that aims to enable Indocomputer to know and classify service data based on customer complaints using Weka Software. In this study using the algorithm K-Means Clustering to predict or classify complaints about hardware damage on Payakumbuh Indocomputer. And can find out the data of Laptop brands most do service on Indocomputer Payakumbuh as one of the recommendations to consumers for the selection of Laptops.

PENGARUH KEPEMIMPINAN DAN KOMPETENSI TERHADAP KINERJA ORGANISASI PT. SAMICK INDONESIA

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Donny Dharmawan, MM. ◽  
Erfan Esnawan
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Organizational Performance ◽  
Multiple Regression ◽  
Significant Influence ◽  
Random Sampling ◽  
Simple Random Sampling ◽  
Validity And Reliability ◽  
Data Analysis Technique ◽  
Analysis Technique

<em><span lang="EN-US">This study aims to determine the magnitude of the influence of leadership and competence on the organizational performance of PT. Samick Indonesia. This study uses Simple Random Sampling. The population in this study were employees of PT. Samick Indonesia. With 156 samples. Data collection techniques using questionnaires which then have been tested for validity and reliability. The data analysis technique used to answer the hypothesis is multiple regression. The results of this study indicate that, Leadership is able to improve Organizational Performance. Competence is able to improve organizational performance thus it can be concluded that leadership and competence have a positive and significant influence on the organizational performance of PT. Samick Indonesia.</span></em>

PENGARUH INOVASI DAN ORIENTASI KEWIRAUSAHAAN TERHADAP KEUNGGULAN BERSAING UMKM KULINER

2019 ◽  
Vol 4 (1) ◽  
pp. 111-118
Author(s):  
Inda Lestari ◽  
Miguna Astuti ◽  
Hariyanto Ridwan
Keyword(s):  
Data Analysis ◽  
Competitive Advantage ◽  
Significant Influence ◽  
Entrepreneurial Orientation ◽  
Sampling Method ◽  
Sampling Technique ◽  
Analysis Tool ◽  
Data Analysis Tool

This research was conducted to analyze the effect of innovation orientation and entrepreneurship on the competitive advantage of culinary MSMEs in the Cilandak Barat area, South Jakarta. The population used for this study was 36 actors in the culinary field of SMEC. The sampling technique uses a saturated sampling method. The data analysis tool used is PLS 3.0. The results of this study indicate that the innovation variable has a significant influence on the culinary competitiveness of SMEC. And, entrepreneurial orientation has a significant influence on the culinary competitiveness of SMEC. The researcher suggests SMECs to pay attention to other factors that can influence competitive advantage. Keywords: Innovation, Entrepreneurship Orientation, Competitive Advantage

scholarly journals Open Plot Project: an open-source toolkit for 3-D structural data analysis

Solid Earth ◽  
2011 ◽  
Vol 2 (1) ◽  
pp. 53-63 ◽  
Author(s):  
S. Tavani ◽  
P. Arbues ◽  
M. Snidero ◽  
N. Carrera ◽  
J. A. Muñoz
Keyword(s):  
Spatial Distribution ◽  
Data Analysis ◽  
Open Source ◽  
Open Source Software ◽  
Source Code ◽  
Structural Data ◽  
Geological Modelling ◽  
Analysis Tools ◽  
Transect Analysis ◽  
Selection Of

Abstract. In this work we present the Open Plot Project, an open-source software for structural data analysis, including a 3-D environment. The software includes many classical functionalities of structural data analysis tools, like stereoplot, contouring, tensorial regression, scatterplots, histograms and transect analysis. In addition, efficient filtering tools are present allowing the selection of data according to their attributes, including spatial distribution and orientation. This first alpha release represents a stand-alone toolkit for structural data analysis. The presence of a 3-D environment with digitalising tools allows the integration of structural data with information extracted from georeferenced images to produce structurally validated dip domains. This, coupled with many import/export facilities, allows easy incorporation of structural analyses in workflows for 3-D geological modelling. Accordingly, Open Plot Project also candidates as a structural add-on for 3-D geological modelling software. The software (for both Windows and Linux O.S.), the User Manual, a set of example movies (complementary to the User Manual), and the source code are provided as Supplement. We intend the publication of the source code to set the foundation for free, public software that, hopefully, the structural geologists' community will use, modify, and implement. The creation of additional public controls/tools is strongly encouraged.

Sign in / Sign up

Export Citation Format

Share Document