scholarly journals Motivation, purpose, and purchasing frequency of honey consumption in West Java

2021 ◽  
Vol 948 (1) ◽  
pp. 012070
Author(s):  
D Purnomo ◽  
A Bunyamin ◽  
W Gunawan ◽  
N A Faizah ◽  
T G Danuwidjaja ◽  
...  
Keyword(s):  
Marketing Research ◽  
Classification Model ◽  
West Java ◽  
Commercial Development ◽  
Good Decision ◽  
Social Bees ◽  
Health Lifestyle ◽  
Decision Tree Classification ◽  
Personal Consumption ◽  
Study Results

Abstract Indonesia is home to the greatest diversity of social bees in all over Asia, particularly species of the genus Apis. Thus, expanding the apiculture industry for commercial development is highly considerable. Although this industry has not become a special concern, the products of this industry are very popular among the Indonesian people, both for health, lifestyle, and other benefits. Research plays an essential role for good decision making, however, there is little research related to honey marketing in Indonesia. In this study, we observed the honey consumption of 246 respondents living in West Java by using online questionnaires and Decision Tree Classification to contribute to honey marketing research. This research shows that the motivation of the respondents in buying honey was merely for health reasons and the main purpose was for personal consumption. As for purchasing frequency, 86% of respondents purchased honey more than once a month. Then, a classification model of honey purchasing frequency based on respondents’ demographics which has an accuracy of 70.3% was built. The study results should be considered by the food industry and honey producers to emphasize consumer behaviour to formulate a better marketing strategy.

A DECISION TREE-BASED CLASSIFICATION APPROACH TO RULE EXTRACTION FOR SECURITY ANALYSIS

2006 ◽  
Vol 05 (01) ◽  
pp. 227-240 ◽  
Author(s):  
N. REN ◽  
M. ZARGHAM ◽  
S. RAHIMI
Keyword(s):  
Decision Tree ◽  
High Performance ◽  
Security Analysis ◽  
Predictive Performance ◽  
Classification Model ◽  
Stock Selection ◽  
Selection Rules ◽  
Stock Portfolios ◽  
Decision Tree Classification ◽  
C4.5 Decision Tree

Stock selection rules are extensively utilized as the guideline to construct high performance stock portfolios. However, the predictive performance of the rules developed by some economic experts in the past has decreased dramatically for the current stock market. In this paper, C4.5 decision tree classification method was adopted to construct a model for stock prediction based on the fundamental stock data, from which a set of stock selection rules was derived. The experimental results showed that the generated rules have exceptional predictive performance. Moreover, it also demonstrated that the C4.5 decision tree classification model can work efficiently on the high noise stock data domain.

scholarly journals EEG-Based Emotion Classification for Alzheimer’s Disease Patients Using Conventional Machine Learning and Recurrent Neural Network Models

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7212
Author(s):  
Jungryul Seo ◽  
Teemu H. Laine ◽  
Gyuhwan Oh ◽  
Kyung-Ah Sohn
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Recurrent Neural Network ◽  
Classification Model ◽  
Support Vector ◽  
Number Of Patients ◽  
Study Results ◽  
Conventional Machine

As the number of patients with Alzheimer’s disease (AD) increases, the effort needed to care for these patients increases as well. At the same time, advances in information and sensor technologies have reduced caring costs, providing a potential pathway for developing healthcare services for AD patients. For instance, if a virtual reality (VR) system can provide emotion-adaptive content, the time that AD patients spend interacting with VR content is expected to be extended, allowing caregivers to focus on other tasks. As the first step towards this goal, in this study, we develop a classification model that detects AD patients’ emotions (e.g., happy, peaceful, or bored). We first collected electroencephalography (EEG) data from 30 Korean female AD patients who watched emotion-evoking videos at a medical rehabilitation center. We applied conventional machine learning algorithms, such as a multilayer perceptron (MLP) and support vector machine, along with deep learning models of recurrent neural network (RNN) architectures. The best performance was obtained from MLP, which achieved an average accuracy of 70.97%; the RNN model’s accuracy reached only 48.18%. Our study results open a new stream of research in the field of EEG-based emotion detection for patients with neurological disorders.

scholarly journals Evaluating the Potential of WorldView-3 Data to Classify Different Shoot Damage Ratios of Pinus yunnanensis

Forests ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 417
Author(s):  
Linfeng Yu ◽  
Zhongyi Zhan ◽  
Lili Ren ◽  
Shixiang Zong ◽  
Youqing Luo ◽  
...  
Keyword(s):  
Multinomial Logistic Regression ◽  
Satellite Image ◽  
Classification Model ◽  
Linear Discriminant ◽  
Pinus Yunnanensis ◽  
Study Results ◽  
Shoot Damage ◽  
Beetle Damage ◽  
Individual Trees ◽  
Different Levels

Tomicus yunnanensis Kirkendall and Faccoli and Tomicus minor Hartig have caused serious shoot damage in Yunnan pine (Pinus yunnanensis Faranch) forests in the Yunnan province of China. However, very few remote sensing studies have been conducted to detect the different shoot damage ratios of individual trees. The aim of the study was to evaluate the suitability of eight-band WorldView-3 satellite image for detecting different shoot damage ratios (e.g., “healthy”, “slightly”, “moderately”, and “severely”). An object-based supervised classification method was used in this study. The tree crowns were delineated on a 0.3 m pan-sharpened worldview-3 image as reference data. Besides the original eight bands, normalized two-band indices were derived as spectral variables. For classifying individual trees, three classifiers—multinomial logistic regression (MLR), a stepwise linear discriminant analysis (SDA), and random forest (RF)—were evaluated and compared in this study. Results showed that SDA classifier based on all spectral variables had the highest classification accuracy (78.33%, Kappa = 0.712). Compared to original eight bands of Worldview-3, normalized two-band indices could improve the overall accuracy. Furthermore, the shoot damage ratio was a good indicator for detecting different levels of individual damaged trees. We concluded that the Worldview-3 satellite data were suitable to classify different levels of damaged trees; therefore, the best mapping results of damaged trees was predicted based on the best classification model which is very useful for forest managers to take the appropriate measures to decrease shoot beetle damage in Yunnan pine forests.

Securing Pipeline Approvals in a Tough Regulatory Environment

2006 ◽  
Author(s):  
Mario E. Buszynski
Keyword(s):  
Transmission Line ◽  
Case Studies ◽  
Urban Areas ◽  
Large Diameter ◽  
Rapid Expansion ◽  
Commercial Development ◽  
Electrical Grid ◽  
The Public ◽  
Right Of Way ◽  
Study Results

The Regional Municipality of York is located immediately north of the City of Toronto. It is the fastest growing municipality in Ontario. The rapid expansion of residential, industrial and commercial development in the municipality has led to a weakness in the electrical and gas infrastructure. The Ontario Power Authority (the agency responsible for managing the power requirements in the Province of Ontario) has recognized this weakness and has developed plans calling for a new gas-fired generating station and improvements to the electrical grid. The shortages of gas supply and electricity have not developed overnight. Hydro One, which runs the electrical grid, initiated a supply study in 2002. The study recommended upgrading a 115 kV transmission line to a double circuit 230 kV transmission line on the existing corridor. The ensuing public outcry resulted in the municipality passing a resolution against the upgrade. Similarly, a large gas-fired generating station proposal was abandoned as the result of citizen opposition. In 2003, the Ontario Energy Board approved new Environmental Guidelines for the Location, Construction and Operation of Hydrocarbon Pipelines and Facilities in Ontario. The guidelines include specific new requirements for planning pipelines in urban areas. Among other things, these requirements involve the identification of indirectly affected landowners and a more detailed analysis of public issues and how they were resolved. It became clear that in order to achieve regulatory success, not only would the public have to become actively engaged in the decision-making early in the process, the technical reviewers (federal, provincial and municipal agencies) would likewise have to be actively involved. Through the use of two case studies of proposed large-diameter natural gas pipelines initiated in York Region in 2005, this paper describes the techniques used to engage the public and the regulators. It also describes how the public involvement requirements contained in the Ontario Energy Board’s new guidelines were incorporated into the planning process. The case studies begin with a rationale for the study area selected. A description of issues follows. The techniques used to address these issues and the success of the program are documented. Techniques include face-to-face project initiation meetings, use of technical and citizens’ advisory committees, sub-committee meetings to resolve specific issues and site-specific field work. The study results illustrate that it is possible to plan a right-of-way in such a manner as to satisfy the general public and regulators, be compatible with existing development, conform to the new Ontario Energy Board guidelines and minimize the amount of remedial work required to mitigate the impacts occurring on and adjacent to the right-of-way.

Psychosomatic and Somatic Problems in Future Health Educators: Changes and Relations with Lifestyle Factors

2015 ◽  
Vol 6 (1) ◽  
pp. 50-60
Author(s):  
Laimute Kardelienė ◽  
Kęstutis Kardelis
Keyword(s):  
Lifestyle Factors ◽  
Female Students ◽  
Male Students ◽  
Health Educators ◽  
Future Health ◽  
Physically Active ◽  
Health Lifestyle ◽  
Activity Frequency ◽  
Shoulder And Neck Pain ◽  
Study Results

Abstract The aim of the research is to determine the changes in psychosomatic and somatic problems of future health educators by analyzing the relations of these symptoms with lifestyle factors. The same questionnaire was used in the surveys carried out in 2008 and 2013 in order to evaluate the variables. The respondents were asked how often they had different psychosomatic and somatic complaints over the last 12 months. These complaints were compared with health lifestyle (doing physical activity, frequency of alcohol consumption and smoking) factors. The participants in the first survey (2008) were 168 students (65 male and 103 female), while the participants in the second survey (2013) were 186 students (81 male and 105 female). According to the study results, sleeping disorders were more frequent in the first course male students in 2013 than in 2008. In addition to these disorders, female students complained that they had headache, shoulder and neck pain and backache. It was noticed that in the second survey there were more female respondents who smoked almost every day (17.9% and 8.1% respectively) and less physically active female respondents (52.4% and 21.6% respectively). Thus health educators who are less physically active have a greater probability to have psychosomatic and somatic problems.

scholarly journals ANALISIS PENATAAN DAERAH DI PROVINSI JAWA BARAT

2019 ◽  
pp. 1-13
Author(s):  
Sulthon Rohmadin ◽  
Dedi Kusmana ◽  
Yusi Eva Batubara
Keyword(s):  
Area Coverage ◽  
Wide Area ◽  
Policy Recommendations ◽  
West Java ◽  
Policy Makers ◽  
Study Results ◽  
Major Consideration ◽  
Comprehensive Study

The research undertaken has the objective to analyze the wide area, demography and area coverage in order to provide policy recommendations related to the regulation of regency in West Java Province as mandated by UU 23 Tahun 2014 tentang Pemerintahan Daerah. This study used tailor made method which directs a comprehensive study results become a major consideration for policy makers in the formulation of policy. The results of the analysis show that only Bogor Regency has the most complete feasibility to be expanded into district and city compared to other districts in West Java. While Cianjur, Bekasi and Garut have the feasibility to form City. Keywords: regional arrangement, DOB formation

scholarly journals Spatial and temporal distribution of estimated surface runoff caused by land use/land cover changes in the upstream Citarum watershed, West Java, Indonesia

2022 ◽  
Vol 9 (2) ◽  
pp. 3293-3305
Author(s):  
Fajar Yulianto ◽  
Muhammad Rokhis Khomarudin ◽  
Eddy Hermawan ◽  
Nunung Puji Nugroho ◽  
Galdita Aruba Chulafak ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Surface Runoff ◽  
Temporal Distribution ◽  
Land Cover Changes ◽  
Spatial And Temporal Distribution ◽  
Runoff Coefficient ◽  
Land Use Land Cover ◽  
West Java ◽  
Study Results

In Indonesia, flooding is one of the natural hazards that often occurs during the rainy season. Surface runoff coefficient values are an essential indicator of the supply of regional water resources. The smaller the surface runoff value, the greater the water storage in the ground, and the smaller surface was running water. This study analyses the spatial and temporal distribution of the estimated surface runoff caused by land use/land cover changes in the upstream Citarum watershed. The study area is located in the upstream Citarum watershed, West Java, Indonesia. The site has a long history of flooding and various complex environmental problems. The geographic Information System method was used as a tool in analyzing the spatially and temporally. The research result shows that there has been a change in land cover in several periods of the year in the Citarum upstream watershed. The occurrence of the LULC phenomenon positively affects the surface runoff coefficient. The increasing area of Built land and plantation in the Citarum upstream watershed will further increase the surface runoff coefficient and, in the end, will potentially increase the surface runoff and contribute to flooding in the Bandung basin. This study results can be used to provide input in determining the direction and policies for watershed management, taking into account the varying characteristics of each subwatershed.

scholarly journals PENERAPAN ALGORITMA C4.5 UNTUK PENENTUAN KELAYAKAN PEMBERIAN KREDIT (Studi Kasus : Koperia - Koperasi Warga Komplek Gandaria)

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Teguh Budi Santoso ◽  
Dela Sekardiana
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Classification Model ◽  
Decision Tree Classification ◽  
C4.5 Algorithm ◽  
Credit Worthiness ◽  
Loan Amount

<p><em>Current credit giving in KOPERIA (Koperasi Warga Komplek Gandaria) is still based on an objective process. Difficulties in determining the feasibility of giving credit are often experienced by cooperative managers, so that problems arise in the cooperative is a default payment of credit installments of customers in KOPERIA. This study aims to form a decision tree classification model to determine the customer's credit worthiness. In this study the application of C4.5 Algorithm, based on the Sets and Attributes used in this study, namely, the amount of income divided into 2 categories&gt; 5 million and 3-5 million, the amount of balance divided into three, namely&gt; 3 million, 1-3 million and &lt;1 Million, The Loan Amount is divided into three, namely 1-4 Months, 5-8 months, and 9-12 Months and Requirements with attributes of Business Capital, buying goods and others. In this study determine the appropriate root nodes, the classification results using C4.5 Algorithm shows that the accuracy of 97.5% is obtained, based on the results obtained shows that the c4.5 algorithm is suitable to be used to determine the feasibility of lending customers to KOPERIA.</em></p><p><strong><em>Keywords</em></strong><em>: Data Mining, C4.5 Algorithm</em><em>, loan feasibility</em></p>

scholarly journals Social Media Da'wah Literacy on the West Java Saber Hoaks Program

2021 ◽  
Vol 15 (1) ◽  
pp. 81-102
Author(s):  
Imron Rosyidi ◽  
Zaenal Mukarom ◽  
Rif'at Fatkhurrohman Jaelani
Keyword(s):  
Social Media ◽  
Preventive Measures ◽  
Religious Conflict ◽  
Case Study Method ◽  
False Information ◽  
West Java ◽  
Study Results ◽  
Information Verification ◽  
Use Of Social Media

Hoax or false information is a problem and one of the impacts of the unwise use of social media. The spread of hoaxes on social media can potentially break the unity and trigger religious conflict. In response to these problems, West Java Saber Hoaks was formed to suppress and prevent the spread of hoaxes on social media. The purpose of this study is to reveal: (1) Jabar Saber Hoaks' efforts in preventing hoaxes; and (2) literacy of social media da'wah by Jabar Saber Hoaks. This study uses a case study method with a qualitative approach. Based on the study results, the following findings were obtained: (1) There were four efforts made by West Java Saber Hoaks to prevent hoaxes, namely opening a complaint service and monitoring content that has the potential to be a hoax, clarifying information, and providing literacy. (2) Social media da'wah literacy by West Java Saber Hoaks is carried out using preventive measures and information verification. From the results of this study, there are significant and recommendations, namely: (1) There is a need for mainstreaming social media literacy. (2) There is a need for preventive da'wah efforts on social media to ward off hoax information.Hoaks atau false information merupakan problematika dan salah satu dampak yang ditimbulkan dari penggunaan media sosial yang kurang bijak. Penyebaran hoaks di media sosial dapat berpotensi memecah persatuan dan memicu konflik keagamaan. Menyikapi persmasalahan tersebut, Jabar Saber Hoaks dibentuk untuk menekan dan menangkal penyebaran hoaks di media sosial. Tujuan dari studi ini ialah untuk mengungkap: (1) Upaya Jabar Saber Hoaks dalam menangkal hoaks; dan (2) Literasi dakwah media sosial oleh Jabar Saber Hoaks. Studi ini menggunakan metode studi kasus dengan pendekatan kualitatif. Berdasarkan hasil studi, didapatkan temuan berikut: (1) Ada empat upaya yang dilakukan Jabar Saber Hoaks dalam menangkal hoaks, yaitu membuka layanan aduan, memantau konten yang beprotensi hoaks, mengklarifikasi informasi dan memberikan literasi. (2) Literasi dakwah media sosial oleh Jabar Saber Hoaks dilakukan dengan cara upaya preventif dan verifikasi informasi. Dari hasil studi ini ada signifikasi dan rekomendasi, yaitu: (1) Perlu adanya mainstreaming literasi media sosial. (2) Perlu adanya uapaya dakwah preventif di media sosial untuk menangkal informasi hoaks.

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