scholarly journals Pemetaan Arah Desain Rice box untuk Pengguna Di Indonesia

2020 ◽  
Vol 2 (1) ◽  
pp. 050-060
Author(s):  
Wildan Aulia
Keyword(s):  
Product Design ◽  
Load Capacity ◽  
Mapping Method ◽  
User Preference ◽  
Perceptual Mapping ◽  
Rice Consumption ◽  
Box Product ◽  
Mapping Result

In 2011 and 2016, the author had been designed a rice box based on user aspect. The result indicated the change of rice box product design in form of dimension/ load capacity. This indication then followed by continued study in order to find the comprehensive design of rice box development. This research is focused on design mapping based on design direction of rice box that had been done in 2011, 2016 and 2019, also perceptual mapping method on existing rice box products. The aim is to find the tendency user preference to rice box design. The result showed that the significant value for user preference is rice box with capacity of 12 kg and slowly leave the rice box with capacity of 30 kg. This study also argued that there is an implication of rice consumption changing. The result is hopefully could become the reference in rice box design based on mapping result that can be applied by industrial stakeholder.

A Method of Interest Degree Mining Based on Behavior Data Analysis

2019 ◽  
Vol 34 (09) ◽  
pp. 2059030
Author(s):  
Zhen Li ◽  
Shuo Xu ◽  
Tianyu Wang
Keyword(s):  
Social Media ◽  
Big Data ◽  
Data Fusion ◽  
Language Processing ◽  
User Behavior ◽  
Comprehensive Evaluation ◽  
Mapping Method ◽  
User Preference ◽  
User Interest ◽  
Improvement Measures

Based on big data, this paper starts from the behavior data of users on social media, and studies and explores the core issues of user modeling under personalized services. Focusing on the goal of user interest modeling, this paper proposes corresponding improvement measures for the existing interest model, which has great difference in interest description among different users and it is difficult to find the user interest change in time. For the above problems, this paper takes user-generated content and user behavior information as the analysis object, and uses natural language processing, knowledge warehouse, data fusion and other methods and techniques to numerically analyze user interest mining based on text mining and multi-source data fusion. We propose a user interest label space mapping method to avoid data sparse problem caused by too many dimensions in interest analysis. At the same time, we propose a method to extract and blend the long-term and short-term interests, and realize the comprehensive evaluation of interests. In the analysis of the big data phase, the user preference social property application preference value law, it is expected to achieve user Internet social media application preference data mining from the perspective of big data.

scholarly journals Perceived user preferences and usability evaluation of mainstream wearable devices for health monitoring

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5350 ◽  
Author(s):  
Yuxi Jia ◽  
Wei Wang ◽  
Dong Wen ◽  
Lizhong Liang ◽  
Li Gao ◽  
...  
Keyword(s):  
Product Design ◽  
Health Monitoring ◽  
Usability Evaluation ◽  
User Preferences ◽  
User Preference ◽  
Heart Health ◽  
Significant Difference ◽  
Health Related ◽  
Fitness Tracking ◽  
Fitness Trackers

Background There are many problems with fitness trackers, such as device usability, which limit their large-scale application, and relevant studies are limited in terms of their sample size and evaluation methods. The purpose of the study was to evaluate the perceived usability of various mainstream fitness trackers on the market, and to learn about user feedback on feature preferences for each device. Methods Trial use of seven mainstream fitness trackers (two smart watches and five smart wristbands) followed by a survey study were applied. The questionnaire was specifically developed for this study, which included two parts (user preferences and device usability in five dimensions). We recruited users to test the devices for at least 30 days and asked experienced users to provide feedback in order to evaluate each device, including the rating and user preference of each device. Results We received 388 valid questionnaires, in which users rated their responses on a five-point Likert scale. (1) User preference: the average user satisfaction was 3.50–3.86 (points), and the rating for willingness to buy averaged between 3.36 and 3.59. More users were willing to wear (58.3–81.3%) and purchase (56.8–83.0%) the devices than were not. The top three general feature preferences were daily activity tracking, heart health monitoring, and professional fitness tracking. The top three health-related feature preferences were heart rate monitoring, daily pedometer, and professional fitness tracking. (2) Usability evaluation: product design was rated from 3.57 to 4.00; durability, 3.63–4.26; ease of use, 3.70–3.90; added features, 3.30–3.83; and user-rated accuracy, 3.44–3.78. A significant difference was observed in the rating of product design and durability among the different devices (p < 0.05) score. Conclusions Users generally had positive subjective intent regarding fitness trackers but were less satisfied with their cost effectiveness. The users preferred health related features such as heart health monitoring, and professional fitness tracking. The rating of most of the current mainstream fitness trackers was fair with some significant differences among the devices. Thus, further improvement is needed.

Modeling and quantifying uncertainty in the product design phase for effects of user preference changes

2015 ◽  
Vol 115 (9) ◽  
pp. 1637-1665 ◽  
Author(s):  
Hamid Afshari ◽  
Qingjin Peng
Keyword(s):  
Life Cycle ◽  
Product Design ◽  
Product Life Cycle ◽  
User Preferences ◽  
User Preference ◽  
Design Parameters ◽  
Accurate Estimation ◽  
Product Life ◽  
Content Type ◽  
External Uncertainty

Purpose – The purpose of this paper is to quantify external and internal uncertainties in product design process. The research addresses the measure of product future changes. Design/methodology/approach – Two methods are proposed to model and quantify uncertainty in the product life cycle. Changes of user preferences are considered as the external uncertainty. Changes stemming from dependencies between components are addressed as the internal uncertainty. Both methods use developed mechanisms to capture and treat changes of user preferences. An agent-based model is developed to simulate sociotechnical events in the product life cycle for the external uncertainty. An innovative application of Big Data Analytics (BDA) is proposed to evaluate the external and internal uncertainties in product design. The methods can identify the most affected product components under uncertainty. Findings – The results show that the proposed method could identify product changes during its life cycle, particularly using the proposed BDA method. Practical implications – It is essential for manufacturers in the competitive market to know their product changes under uncertainty. Proposed methods have potential to optimize design parameters in complex environments. Originality/value – This research bridges the gap of literature in the accurate estimation of uncertainty. The research integrates the change prediction and change transferring, applies data management methods innovatively, and utilizes the proposed methods practically.

Knowledge Representation and Ontology Mapping Methods for Product Data in Engineering Applications

2008 ◽  
Author(s):  
Pei Zhan ◽  
Uma Jayaram ◽  
Sankar Jayaram ◽  
OkJoon Kim ◽  
Lijuan Zhu
Keyword(s):  
Knowledge Representation ◽  
Product Design ◽  
Adaptive Design ◽  
Mapping Method ◽  
Ontology Mapping ◽  
Design Evaluation ◽  
Design Decision ◽  
Semantic Approach ◽  
Product Data ◽  
Data Semantics

This work seeks to create a semantic approach that uses ontologies for sharing knowledge related to product data in CAD/CAE applications and for integrating the design evaluation information that these applications individually provide. Our overall approach is coined OADE, Ontology-based Adaptive Design Evaluation. This paper reports on a piece of our ongoing work in this area. The key contributions of this paper include methods for the design of knowledge representation in product design and analysis, population of product data semantics, creation of ontology mapping methods and mapping representations, and mapping of product data semantics to the target application. The mapping method finds matching concepts between different ontologies based on three basic concept relation types: composition, inheritance, and attribute. A prototype implementation is being created using technologies such as OWL (representation tool), Jena (ontology builder), and Prote´ge´ (ontology editor) to demonstrate the approach for integrating a parametric CAD system, custom virtual assembly application, and an ergonomics engineering application. An example is given in this paper to illustrate how this approach can help integration between a product design application and an assembly simulation analysis application. The significance of this work is that it will provide the capability to create, share, and exchange knowledge for solving design evaluation challenges involving multiple applications and multiple viewpoints. A design decision can thus be described using the common concepts across the diverse entities.

scholarly journals Kajian Morfometri Ranu Grati Menggunakan GPSMAP 585 dan SIG

2019 ◽  
Vol 4 (3) ◽  
pp. 205
Author(s):  
Arief Darmawan ◽  
Mohammad Mahmudi ◽  
Tisya Wahidatun Nisa ◽  
Cesarlia Dwi Sulestyanar Putri ◽  
Gita Adistri Gurinda ◽  
...  
Keyword(s):  
Depth Distribution ◽  
Load Capacity ◽  
Depth Map ◽  
Average Depth ◽  
Gis Analysis ◽  
Pollution Load ◽  
Mapping Data ◽  
Aquaculture Area ◽  
Sentinel 2A ◽  
Mapping Result

<strong>Ranu Grati’s Morphometry Study Using GPSMAP 585 and GIS</strong>. In the study of pollution load capacity of a reservoir or lake, its required information such as innudation area, average of depths and innudation volume, but those data at sometimes unavailable and out of date. The aims of this research are to find out depth distribution in Ranu Grati and represent it on a map. Depth map or bathymetry map that resulted is show morphological condition that can be used for further study e.g calculation of Ranu Grati capacity for aquaculture. Area of inundation, inundation volume and average depth of Ranu Grati can be figured out by using Garmin GPSMAP 585, Sentinel 2a imagery, BingMap and GIS analysis with ArcGIS according to those mapping data. Visualization of the mapping result through 3D view is used to increase understanding Ranu Grati morphometric conditions such as for Ranu Grati carriying capacity for aquaculture etc.. The result shows maximum depth that recorded during mapping is 121, 9 m. Meanwhile, area of inundation and volume are 1.734.223,07 m<sup>2</sup> and 124.491.952,55 m<sup>3 </sup>respectively.

scholarly journals PEMETAAN JARINGAN DISTRIBUSI (SUTM) 20 kV DAN PERKIRAAN KEBUTUHAN LISTRIK DI KECAMATAN PAYUNG SEKAKI, KABUPATEN SOLOK

2013 ◽  
Vol 5 (2) ◽  
pp. 29-38
Author(s):  
Surfa Yondri ◽  
Witrionanda Witrionanda ◽  
A Fadly
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Data Processing ◽  
Estimation Method ◽  
Mapping Method ◽  
Growth Data ◽  
Real Condition ◽  
The Real ◽  
Electricity Network ◽  
Mapping Result

Payung Sekaki district is one of the area in Solok Region that needs the development of electricity network.  To support its development plan, the real condition of Payung Sekaki district should be known. The mapping method is one of the way to know the already implemented electricity area.Based on the mapping result, it is known that the electricity network of SUTM 20 kV at Payung Sekaki district has been implemented in Sikrukam area and Supayang area and not yet in Aie Luo area. The estimation method of electricity needs at Payung Sekaki district is motivated to get information on its development based on economic and population growth. Data processing results using SPSS show that the eletricity needs at Payung Sekaki district from 2013 to 2014 will dramatically increase followed by the increasing of economic growth in spite of population growth is still remain the same.

The Implement of Parcel Sea Map Automatic Mapping Algorithm

2014 ◽  
Vol 989-994 ◽  
pp. 1891-1894
Author(s):  
De Rui Song ◽  
Ke Cao ◽  
Yu Hao
Keyword(s):  
Convex Polygon ◽  
Mapping Method ◽  
The Other ◽  
Left Turn ◽  
Mapping Algorithm ◽  
Survey Experiments ◽  
Automatic Mapping ◽  
Cutting Algorithm ◽  
Point Data ◽  
Mapping Result

Parcel Sea Map mapping is currently implemented by manual, which causes the task tedious and error prone. To overcome this problem, this paper proposes an automatic mapping method for Parcel Sea Map. The boundary point data are basic mapping elements, which are obtained from sea cadastral survey. The mapping result can be demonstrated by two aspects: convex polygon and concave polygon. For convex polygon, well known left-turn and convex hull algorithms are adopted. For concave polygon, two algorithms are proposed. One is enumeration and the other is cutting algorithm. The above two mapping results can finally be determined by the inspector from sea cadastral survey. Experiments show that Parcel Sea Map automatic mapping can efficiently reduce the manual burden of present mapping.

scholarly journals Improving Communication Messages by Using Perceptual Mapping: Family Planning Survey in East Java and West Nusa Tenggara, Indonesia

2021 ◽  
Vol 9 ◽  
pp. 205031212199328
Author(s):  
Sarah Handayani ◽  
Rita Damayanti ◽  
Iwan Ariawan ◽  
Fitra Yelda ◽  
Sarah Harlan ◽  
...  
Keyword(s):  
Family Planning ◽  
Total Sample ◽  
Mapping Method ◽  
Scaling Analysis ◽  
Contraceptive Methods ◽  
Cross Sectional ◽  
Correlation Matrices ◽  
Perceptual Mapping ◽  
Long Acting ◽  
Permanent Method

Objectives: Contraceptive methods vary in effectiveness, actions required of users, and side effects. This article aims to analyze the perceptions about contraceptive methods among family planning clients of the East Java and West Nusa Tenggara (NTB) provinces in Indonesia. Methods: The data were obtained from the operational research of the Improving Contraceptive Method Mix Project in Indonesia, conducted in 2015–2016 in six districts in East Java and West Nusa Tenggara. The total sample size was 12,190 women aged 15–49 years. The perceptual mapping method uses cross-sectional surveys that require the respondent to rate the level to which they associate specific elements with each other, based on similarities and differences of perceived association. The correlation matrices for six contraceptive methods and five attributes were subjected to a multidimensional scaling analysis. Results: The results showed injectable to be the most preferred method, which was positioned closest to the attributes ‘easy to use’ and ‘easy to get’, followed by pills. Implants ranked higher than other long-acting and permanent method. Conclusion: Injectables and pills were the most preferred because people believe that they were ‘easy to use’ and ‘easy to get’. The least preferred methods were tubectomy and vasectomy because the respondents thought those were not close to any attributes at all. To increase the demand for the long-acting and permanent method choice in the provinces of East Java and West Nusa Tenggara, the attributes ‘easy to use’ and ‘easy to get’ should be emphasized in the long-acting and permanent method Information Education and Communication messages.

scholarly journals A User Biology Preference Prediction Model Based on the Perceptual Evaluations of Designers for Biologically Inspired Design

Symmetry ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 1860
Author(s):  
Shijian Luo ◽  
Yufei Zhang ◽  
Jie Zhang ◽  
Junheng Xu
Keyword(s):  
Prediction Model ◽  
Product Design ◽  
Linear Regression Analysis ◽  
User Preferences ◽  
User Preference ◽  
Biologically Inspired ◽  
Perceptual Evaluation ◽  
Biological Features ◽  
Cognitive Limitations ◽  
Biologically Inspired Design

Biology provides a rich and novel source of inspiration for product design. An increasing number of industrial designers are gaining inspiration from nature, producing creative products by extracting, classifying, and reconstructing biological features. However, the current process of gaining biological inspiration is still limited by the prior knowledge and experience of designers, so it is necessary to investigate the designer’s perception of biological features. Herein, we investigate designer perceptions of bionic object features based on Kansei engineering, achieving a highly comprehensive structured expression of biological features forming five dimensions—Overall Feeling, Ability and Trait, Color and Texture, Apparent Tactile Sensation, and Structural Features—using factor analysis. Further, producing creative design solutions with a biologically inspired design (BID) has a risk of failing to meet user preferences and market needs. A user preference prediction support tool may address this bottleneck. We examine user preference by questionnaire and explore its association with the perceptual evaluation of designers, obtaining a user preference prediction model by conducting multiple linear regression analysis. This provides a statistical model for identifying the relative weighting of the perception dimensions of each designer in the user preference for an animal, giving the degree of contribution to the user preference. The experiment results show that the dimension “Overall Feeling” of the designer perception is positively correlated with the “like” level of the user preference and negatively correlated with the “dislike” level of the user preference, indicating that this prediction model bridges the gap caused by the asymmetry between designers and users by matching the designer perception and user preference. To a certain extent, this research solves the problems associated with the cognitive limitations of designers and the differences between designers and users, facilitating the use of biological features in product design and thereby enhancing the market importance of BID schemes.

Detection, Averaging, and 3D Reconstruction of Biological Specimens on Hypercubes (Transputer-based) Computers

1990 ◽  
Vol 48 (1) ◽  
pp. 454-455
Author(s):  
Jose-Maria Carazo ◽  
I. Benavides ◽  
S. Marco ◽  
J.L. Carrascosa ◽  
E.L. Zapata
Keyword(s):  
3D Reconstruction ◽  
3D Structure ◽  
Three Dimensional ◽  
Software Tools ◽  
Mapping Method ◽  
Computer Architectures ◽  
Parallel Computer ◽  
Reconstruction Process ◽  
Computing Power ◽  
Order Of Magnitude

Obtaining the three-dimensional (3D) structure of negatively stained biological specimens at a resolution of, typically, 2 - 4 nm is becoming a relatively common practice in an increasing number of laboratories. A combination of new conceptual approaches, new software tools, and faster computers have made this situation possible. However, all these 3D reconstruction processes are quite computer intensive, and the middle term future is full of suggestions entailing an even greater need of computing power. Up to now all published 3D reconstructions in this field have been performed on conventional (sequential) computers, but it is a fact that new parallel computer architectures represent the potential of order-of-magnitude increases in computing power and should, therefore, be considered for their possible application in the most computing intensive tasks.We have studied both shared-memory-based computer architectures, like the BBN Butterfly, and local-memory-based architectures, mainly hypercubes implemented on transputers, where we have used the algorithmic mapping method proposed by Zapata el at. In this work we have developed the basic software tools needed to obtain a 3D reconstruction from non-crystalline specimens (“single particles”) using the so-called Random Conical Tilt Series Method. We start from a pair of images presenting the same field, first tilted (by ≃55°) and then untilted. It is then assumed that we can supply the system with the image of the particle we are looking for (ideally, a 2D average from a previous study) and with a matrix describing the geometrical relationships between the tilted and untilted fields (this step is now accomplished by interactively marking a few pairs of corresponding features in the two fields). From here on the 3D reconstruction process may be run automatically.

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