Determining Factors of Community Participation in Waste Bank

Abstract The study aims to analyze the factors affecting community involvement in the waste separation and reduction through waste bank for low participation through benefits offered to its member. Logistic regression was used for the analysis, and there were 26 dependents variables applied to the analysis. The result showed that six variables, i.e., age, occupation, participation in social activities, knowledge of sustainable development, distance from HH to WB, and availability of dissemination of 3R, affect people’s motivation to be member and actively involved in waste reduction through the waste bank. All variables except distance are proportional to the motivation of the community to participate in waste bank. The attained model is used to calculate the probability of community participation in waste banks afterward. Using different conditions, where variables are set with values of zero and one representing absence and availability of related variables, respectively various probability values come out ranging from 0% to 94.8% which is the highest probability value if all significant factors are available.

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Factors Affecting Mortality in Patients Admitted to the Hospital by Emergency Physicians despite Disagreement with Other Specialties

Emergency Medicine International ◽

10.1155/2020/2173691 ◽

2020 ◽

Vol 2020 ◽

pp. 1-7

Author(s):

Engin Ozakin ◽

Arif Alper Cevik ◽

Filiz Baloglu Kaya ◽

Nurdan Acar ◽

Fikri M. Abu-Zidan

Keyword(s):

Blood Pressure ◽

Logistic Regression ◽

Systolic Blood Pressure ◽

Logistic Regression Model ◽

Admission Diagnosis ◽

Emergency Physicians ◽

Factors Affecting ◽

Admission Decisions ◽

Service Departments ◽

Significant Factors

Background. Emergency physicians (EPs) face critical admission decisions, and their judgments are questioned in some developing systems. This study aims to define the factors affecting mortality in patients admitted to the hospital by EPs against in-service departments’ decision and evaluate EPs’ admission diagnosis with final discharge diagnosis. Methods. This is a retrospective analysis of prospectively collected data of ten consecutive years (2008–2017) of an emergency department of a university medical center. Adult patients (≥18 years-old) who were admitted to the hospital by EPs against in-service departments’ decision were enrolled in the study. Significant factors affecting mortality were defined by the backward logistic regression model. Results. 369 consecutive patients were studied, and 195 (52.8%) were males. The mean (SD) age was 65.5 (17.3) years. The logistic regression model showed that significant factors affecting mortality were intubation (p<0.0001), low systolic blood pressure (p=0.006), increased age (p=0.013), and having a comorbidity (p=0.024). There was no significant difference between EPs’ primary admission diagnosis and patient’s final primary diagnosis at the time of disposition from the admitted departments (McNemar–Bowker test, p=0.45). 96% of the primary admission diagnoses of EPs were correct. Conclusions. Intubation, low systolic blood pressure on presentation, increased age, and having a comorbidity increased the mortality. EPs admission diagnoses were highly correlated with the final diagnosis. EPs make difficult admission decisions with high accuracy, if needed.

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Comparison between students and residents on determinants of willingness to separate waste and waste separation behaviour in Zhengzhou, China

Waste Management & Research ◽

10.1177/0734242x17715096 ◽

2017 ◽

Vol 35 (9) ◽

pp. 949-957 ◽

Cited By ~ 4

Author(s):

Xiaoping Dai ◽

Yuping Han ◽

Xiaohong Zhang ◽

Wei Hu ◽

Liangji Huang ◽

...

Keyword(s):

Logistic Regression ◽

Undergraduate Students ◽

Regression Models ◽

Binary Logistic Regression ◽

Education Level ◽

Factors Affecting ◽

Logistic Regression Models ◽

Management Policies ◽

Waste Separation ◽

Do So

A better understanding of willingness to separate waste and waste separation behaviour can aid the design and improvement of waste management policies. Based on the intercept questionnaire survey data of undergraduate students and residents in Zhengzhou City of China, this article compared factors affecting the willingness and behaviour of students and residents to participate in waste separation using two binary logistic regression models. Improvement opportunities for waste separation were also discussed. Binary logistic regression results indicate that knowledge of and attitude to waste separation and acceptance of waste education significantly affect the willingness of undergraduate students to separate waste, and demographic factors, such as gender, age, education level, and income, significantly affect the willingness of residents to do so. Presence of waste-specific bins and attitude to waste separation are drivers of waste separation behaviour for both students and residents. Improved education about waste separation and facilities are effective to stimulate waste separation, and charging on unsorted waste may be an effective way to improve it in Zhengzhou.

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Bootstrap Logistic Regression on Determining Factors Affecting the Level of Entrepreneurial Capability

Jurnal Matematika MANTIK ◽

10.15642/mantik.2019.5.1.10-18 ◽

2019 ◽

Vol 5 (1) ◽

pp. 10-18

Author(s):

Muhammad Ridho ◽

Dodi Devianto

Keyword(s):

Logistic Regression ◽

Rural Area ◽

Ordinal Scale ◽

Predictor Variables ◽

Response Variable ◽

Factors Affecting ◽

Bootstrap Estimation ◽

Social Motive ◽

Determining Factors ◽

West Sumatra

The purpose of this study is to determine the factors that affect the level of entrepreneurial capability in tourism of rural area in Nagari Salayo of West Sumatra. The level of entrepreneurial capability is the response variable in this study with an ordinal scale consisting of four categories, they are lower, middle, high, or very high. Whereas the predictor variables consist of 4 socio-demographic factor variables, they are gender, education level, age group and occupation, and also 5 entrepreneurial motivation variables. To determine the predictor variables that are significantly affecting response variables, an ordinal logistic regression with a bootstrap estimation is executed. The study’s result shows two predictor variables that affect the response variable significantly, they are the entrepreneurial motive and social motive with the hit ratio of 61,667%. With that result, the model formed by bootstrapping logistic regression is able to determine the level of entrepreneurial capability in tourism of the rural area.

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Analisis Faktor Penentu Kualiti Pengurusan Zakat: Kajian Terhadap Lembaga Zakat Selangor (Lzs) di Sepang

Journal of Fatwa Management and Research ◽

10.33102/jfatwa.vol11no1.16 ◽

2018 ◽

Vol 11 (1) ◽

pp. 27-44

Author(s):

Maryam Abd Rashid ◽

Hairunnizam Wahid ◽

Sanep Ahmad

Keyword(s):

Factor Analysis ◽

Logistic Regression ◽

Quality Of Service ◽

Regression Analysis ◽

Service Quality ◽

Logistic Regression Analysis ◽

Factors Affecting ◽

Five Factors ◽

Significant Factors

Abstract Service quality is an important element in assessing the ability of institutions to meet its goals. The objective of this paper is to examine the factors that probably affect the quality of service for zakat institution, especially in Sepang using the SERVQUAL model which has five factors; reliability, react, assurance, empathy and tangible. A total of 103 respondents from Muslim entrepreneurs have participated in this study. This study uses several approaches, including exploratory factor analysis (EFA) and logistic regression analysis. Findings indicate that empathy and tangible are significant factors affecting the quality of service LZS in model studied. Several implications have been discussed in this study. Keywords : LZS’s service quality, Muslim entrepreneurs, SERVQUAL Abstrak Kualiti perkhidmatan adalah satu elemen penting dalam menilai keupayaan institusi untuk memenuhi matlamatnya. Objektif kertas ini adalah untuk melihat faktor yang dijangka mempengaruhi kualiti perkhidmatan institusi zakat khususnya di daerah Sepang dengan menggunakan model SERVQUAL yang mempunyai lima faktor iaitu kebolehpercayaan, bertindak balas, jaminan, empati dan kewujudan. Sejumlah 103 responden yang terdiri daripada usahawan muslim telah mengambil bahagian dalam kajian ini. Kajian ini menggunakan beberapa ujian termasuklah analisis tinjauan faktor (EFA) dan analisis regresi logistik. Dapatan kajian menunjukkan faktor empati dan kewujudan adalah signifikan dan mempengaruhi kualiti perkhidmatan LZS dalam model yang dikaji. Beberapa implikasi kajian turut dibincangkan dalam kajian ini. Kata kunci : kualiti perkhidmatan LZS, usahawan muslim, SERVQUAL

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PENERAPAN REGRESI LOGISTIK DALAM PENENTUAN FAKTOR YANG MEMPENGARUHI JUMLAH WISATAWAN ECOTOURISM DESA BEDONO

JURNAL ENGGANO ◽

10.31186/jenggano.5.1.11-22 ◽

2020 ◽

Vol 5 (1) ◽

pp. 11-22

Author(s):

Wilis Ari Setyati ◽

Sunaryo Sunaryo ◽

Arya Rezagama ◽

Abel Kristanto Widodo ◽

M Faisal Alfa Yulianto

Keyword(s):

Logistic Regression ◽

Data Collection ◽

Factors Affecting ◽

Factors Influencing ◽

The People ◽

Determining Factors ◽

Spss Software ◽

To Come ◽

The Village ◽

Additional Income

Kegiatan pariwisata merupakan salah satu sektor vital yang dapat diandalkan oleh masyarakat suatu desa untuk memperoleh pendapatan tambahan. Desa Bedono merupakan salah satu desa pesisir yang terletak di Kecamatan Sayung, Kabupaten Demak. Sebagai salah satu desa pesisir, Desa Bedono mengalami tekanan dari aktivitas di darat maupun di lautan. Dampak yang paling terlihat adalah rusaknya infrastruktur akibat banjir rob. Hal ini tentu menghambat wisatawan yang ingin datang berkunjung ke Desa Bedono. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi wisatawan untuk datang ke Desa Bedono. Pengumpulan data dilakukan dengan kuesioner berisi pertanyaan tertutup dengan jumlah responden sebanyak 100. Pengolahan data menggunakan regresi logistic dengan bantuan software SPSS. Hasil penelitian ini menunjukkan bahwa faktor yang mempengaruhi wisatawan untuk datang ke Desa Bedono ada tiga, yaitu: respon warga desa terhadap banjir rob (X1), prioritas masalah lingkungan (X3) dan jenis wisata yang ditawarkan (X11) dilihat dari nilai significance yang berada di bawah 1% dan 5%. Setelah mengetahui faktor-faktor yang mempengaruhi wisatawan untuk datang ke Desa Bedono, diharapkan warga dapat memaksimalkan potensi sehingga dapat meningkatkan jumlah wisatawan.APPLICATION OF LOGISTIC REGRESSION IN DETERMINING FACTORS AFFECTING THE NUMBER OF ECOTOURISM ASSESSMENT IN BEDONO VILLAGE. Tourism activities are one of the vital sectors that can be relied upon by the people of a village to obtain additional income. Bedono Village is a coastal village located in Sayung Subdistrict, Demak Regency. As one of the coastal villages, Desa Bedono experiences pressure from activities on land and in the ocean. The most noticeable impact is damage to infrastructure due to tidal flooding. This certainly inhibits tourists who want to come to visit Bedono Village. This study aims to determine the factors that influence tourists to come to the village of Bedono. Data collection was carried out with a questionnaire containing closed questions with 100 respondents. Data processing used logistic regression with the help of SPSS software. The results of this study indicate that there are three factors influencing tourists to come to Bedono Village, namely: villagers' responses to tidal floods (X1), priority environmental problems (X3) and types of tours offered (X11) seen from the significance value at under 1% and 5%. After knowing the factors that influence tourists to come to Bedono Village, it is hoped that residents can maximize their potential so that they can increase the number of tourists.

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STUDY OF SOCIAL REALIZATION OF COMMUNITY PARTICIPATION ON DEVELOPMENT IN GAMPONG MERDUATI VILLAGE BANDA ACEH

Humanities & Social Sciences Reviews ◽

10.18510/hssr.2020.8288 ◽

2020 ◽

Vol 8 (2) ◽

pp. 791-807

Author(s):

Praptining Sukowati ◽

Muhammad Usman ◽

I Made Weni ◽

Kridawati Sadhana

Keyword(s):

Community Participation ◽

Community Involvement ◽

Secondary Data ◽

Primary Data ◽

Community Members ◽

Role Of Government ◽

Factors Affecting ◽

Fund Allocation ◽

The Village ◽

Banda Aceh

Purpose of Study: The purpose of this study is to describe and analyze community participation and the factors that influence the development of the Gampong Merduati village in Banda Aceh. The qualitative research method is the method used in this study. Determination of informants is done by purposive sampling, assuming that the informant understands the problem being studied and can provide information and responses to the issues that are the objectives of this study. Methodology: The data needed in this study consists of primary data and secondary data. Data collection techniques are interviews, observation, and documentation studies. Data analysis in this study used the method of Milles and Hubernan (1984), which consisted of Data Reduction, Display Data, and Conclusion Drawings. Main Findings: The results of this study show that community participation in the implementation of the Village Fund Allocation (ADD) in the Gampong Merduati Banda Aceh, both participation in the form of energy, mind, and involvement in the form of the budget has been running well, following the wishes of community members and implementation instructions. Factors affecting community participation in the implementation of the Village Fund Allocation in Gampong Merduati Village in Banda Aceh are a sense of belonging, responsibility, and habits that have become a tradition in the Gampong Merduati Village. Applications of this study: The community, government, and universities can use the results of this study. Novelty/Originality: The ability of human resources (HR) of community members is reliable so that it has implications for the quality and quantity of the Village Fund Allocation itself. This research recommends further research on the role of government in encouraging community involvement in development.

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An Investigation of Factors Affecting the Willingness to Invest in Renewables among Environmental Students: A Logistic Regression Approach

Sustainability ◽

10.3390/su11185012 ◽

2019 ◽

Vol 11 (18) ◽

pp. 5012 ◽

Cited By ~ 3

Author(s):

Evangelia Karasmanaki ◽

Spyridon Galatsidas ◽

Georgios Tsantopoulos

Keyword(s):

Logistic Regression ◽

Renewable Energy ◽

Logistic Regression Model ◽

Renewable Energy Sources ◽

Clean Energy ◽

Small Scale ◽

Factors Affecting ◽

The World ◽

Regression Approach ◽

Significant Factors

Renewable energy sources (RES) have gained increased popularity across the world mainly due to their ability to contribute to environmental protection through the generation of infinite ‘clean’ energy. To achieve a greater diffusion of renewables, however, small-scale investments implemented by individuals are critically important. In contrast to citizens whose attitudes have been consistently explored by research, there is little evidence on the attitudes towards investments among environmental students who will occupy positions of responsibility and play key roles in the environmental sector in the future. Hence, the purpose of the present study is to identify the most important factors that affect environmental students’ willingness to invest in renewable energy (RE) by developing a logistic regression model. According to our analysis, the participants in their majority expressed their willingness to invest, while environmental values, the low risk and profitability of renewable investments, as well as preferences for certain energy types were significant factors determining this willingness. However, willingness to invest was irrespective of the current taxation and subsidies, suggesting that significant improvements are required in these areas. The present study could be particularly useful for policymakers since the necessary steps to create favorable investment environments in Greece and elsewhere are highlighted.

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Influence of Tourism Development and Community Participation Factors on Opportunity of Gashaka Gumti National Park

Volume 5 - 2020, Issue 9 - September - International Journal of Innovative Science and Research Technology ◽

10.38124/ijisrt20jul518 ◽

2020 ◽

Vol 5 (7) ◽

pp. 718-732

Author(s):

Kanati Madaki ◽

Tonga Ak Noweg ◽

Alexender Kiew Anak Sayok ◽

Wong Swee Kiong ◽

Isaac John Umaru

Keyword(s):

Community Participation ◽

National Parks ◽

Community Involvement ◽

National Park ◽

Local Community ◽

Tourism Development ◽

Community Support ◽

Community Tourism ◽

Job Opportunity ◽

Significant Factors

National parks are storehouse for wildlife and habitat and endowed with potentials. Although local community participation and tourism development can enhance the potentials of national park, identifying the significant factors influencing outcomes of maximizing opportunity of the Gashaka Gumti National Parks is important. Based on the backwards selection method of community support for tourism development, help to local community, tourism development bring job opportunity and community conservation initiative significantly contributes to the likelihood of maximizing opportunity of Gashaka Gumti National in conserving biodiversity. Thus it can be concluded that local community involvement and tourism development are more likely to impact biodiversity conservation in Gashaka Gumti national Parks than strict conservation.

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ASSESSMENT OF ABNORMALLY LOW TENDERS: A MULTINOMIAL LOGISTIC REGRESSION APPROACH

Technological and Economic Development of Economy ◽

10.3846/20294913.2015.1071294 ◽

2015 ◽

Vol 23 (6) ◽

pp. 848-859

Author(s):

Murat GUNDUZ ◽

H. Volkan KARACAN

Keyword(s):

Logistic Regression ◽

Control Systems ◽

Multinomial Logistic Regression ◽

Past Research ◽

Negative Effects ◽

Statistical Tool ◽

Factors Affecting ◽

Regression Approach ◽

Negative Impacts ◽

Significant Factors

This study was performed in order to reveal factors affecting abnormally low tenders (ALTs) and to minimize negative effects of them. A thorough literature review was carried out to observe past research about the reasons of and possible solutions to ALTs. A questionnaire was prepared and submitted to construction professionals to capture negative impacts of ALTs based on the interviews with experts and past literature. 430 companies responded to the questionnaire. The data analysis was carried out by the multinomial logistic regression statistical tool. Having quality control systems and restricted procedure with prequalification procurement systems were main significant factors to reduce ALTs. Based on all significant factors, recommendations were made to construction professionals and companies to reduce adverse effects of ALTs.

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Partisipasi masyarakat dalam penyelenggaraan program-program pusat kegiatan belajar masyarakat Ngudi Kapinteran

Jurnal Pendidikan dan Pemberdayaan Masyarakat ◽

10.21831/jppm.v3i1.8111 ◽

2016 ◽

Vol 3 (1) ◽

pp. 97 ◽

Cited By ~ 1

Author(s):

Yudan Hermawan ◽

Yoyon Suryono

Keyword(s):

Public Participation ◽

Community Participation ◽

Community Involvement ◽

Limiting Factors ◽

Learning Center ◽

Affecting Factors ◽

Community Learning ◽

Factors Affecting ◽

Community Learning Center ◽

Physical Form

Tujuan penelitian untuk mengetahui: (1) tahapan, (2) bentuk, (3) faktor-faktor yang mempengaruhi, dan (4) strategi pengembangan partisipasi masyarakat dalam penyelenggaraan program-program PKBM Ngudi Kapinteran, Semanu, Gunungkidul. Penelitian kualitatif dengan metode studi kasus. Hasil penelitian yaitu (1) Tahapan partisipasi masyarakat dimulai dari proses perencanaan, pelaksanaan, evaluasi serta pemanfaatan hasil. (2) Bentuk partisipasi masyarakat terbagi dalam dua bentuk meliputi; (a) fisik yaitu material dan tenaga, dan (b) non fisik yaitu ide. (3) Faktor-faktor yang mempengaruhi partisipasi masyarakat yaitu faktor pendukung yang berupa budaya dan kebermanfaatan program sedangkan faktor penghambatnya adalah tingkat pendidikan dan jenis pekerjaan. (4) Strategi pengembangan partisipasi masyarakat yaitu dengan komunikasi, keterlibatan masyarakat dan pemberdayaan komunitas.Kata Kunci: pemberdayaan, program, partisipasi masyarakat, PKBM Community Participation in the Implementation of Programs of Community Learning Center (PKBM) Ngudi KapinteranAbstractThe aim of research to determine: (1) the step, (2) forms, (3) affecting factors, and (4) development of community participation in implementing the programs of PKBM Ngudi Kapinteran, Semanu, Gunungkidul. The qualitative research with case study method. Results of the study are: (1) the steps of public participation are started from the process of plan, implementation, evaluation and utilization of results. (2) the form of community participation in divided into two forms, (a) physical wich are idea and thougt, and (b) the non-physical form of idea. (3) factors affecting public participation namely the supporting factors are of cultural and advantage of program and limiting factors are the level of education and type of work. (4) the development strategis are through communication, community involvement and community empowerment.Keywords: empowerment, program, community participation, community learning center.

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