TYPOLOGY OF PRIVATE CAR USERS DURING COVID-19 PANDEMIC IN KAYURINGIN JAYA

<p>The Covid-19 Pandemic was indicated in March 2020, which has changed people's daily activities patterns. Implementing the restricting regulation imposed by the government made some of the people's daily activities diverted to an online system. As a result, community mobility has decreased, especially on private car usage. However, there is a shift in vehicle usage which many people are starting to switch their mode to the private car in daily travel. This condition was predicted would continue even after the Pandemic ends. The increase in private car usage will worsen the congestion than before the Covid-19 Pandemic appropriate steps and handling are needed to prevent the increase in congestion. One of them is by knowing the characteristics and journeys of private car users during the Covid-19 Pandemic. This research is a typology of private car users during the Covid-19 Pandemic to identify the similarities and differences in the characteristics possessed by each private car user through the typological groups formed. Through this research, it can be seen the movement patterns and characteristics of the people who use private cars. This study uses the Hierarchical Cluster Analysis method. The analysis is based on several variables such as private car usage frequency variables, socioeconomic characteristics variables, demographic variables, household variables, and household travel patterns object of this research is 107 households which are owners and use of private cars for further analysis and form clusters of private car users that have the same characteristics of each cluster. The typology of private car users is compiled based on the unique characteristics possessed by each cluster that is formed. The results of this study are 8 typologies of private car users, which are divided from intensive users to irregular users. Typology 1 has the largest number of respondents and dominates the frequency of trips by private car users. The benefit of this research for the government is as input in the formulation of policies to regulate the use of private cars so that the policies taken by the government can be right on target</p>

Change Dynamics of Electricity Prices for Households in the European Union between 2011 and 2020

The aim of the article: The aim of the article is to evaluate and analyze the dynamics of electricity prices for households in the European Union member states (EU-27) in the period 2011–2020. The study also focuses on the key components of electricity prices in the countries analyzed. The discussed issues are important from the socio-economic point of view. It refers to the issue of sustainable development, where electricity prices are addressed in relation to the problem of energy poverty of households. Methodology: The study is of a theoretical and analytical character. In addition to the review of available dnational and foreign literature, Eurostat data on electricity prices for households in the EU-27 were analysed. Moreover, the paper presents the application of a selected cluster analysis method, i.e. the k-means method, to assess the situation of the EU-27 countries in terms of electricity prices for households in the analysed period of 2011–2020. Results of the research: The result of the analyses undertaken is a presentation of the share of VAT and other taxes and levies in the price of electricity for households. The analyses showed differences between the countries in the structure of establishing the electricity price for households. Only in three countries (Bulgaria, Hungary, Slovakia) it was found that there was no share of other taxes and levies in the electricity price. In turn, the applied k-means method contributed to obtaining the division of countries into four groups reflecting the differentiation in terms of the amount of electricity price for households in the period under study.

Assessment of the ecological state of Kazan surface waters

The study of the influence of technogenesis on the state of surface waters in urbanized areas is one of the most urgent ecological and social problems. For processing and analysis of hydrochemical indicators of surface water bodies of Kazan for the period 2014–2020 the generally accepted stasticial indicators, as well as the methods of multivariate statistics were used. Hydrochemical models were built using the ArcGisMap software package. The data were grouped using the cluster analysis method separately for each hydrological season with the allocation of 6 groups of hydrochemical components in relation to the maximum permissible values. It has been revealed that the minimum technogenic load on the surface waters of the city falls on the spring period. Based on the analysis of the results obtained, an ecological and hydrological assessment of the state of surface waters was carried out. It was showed that the water bodies of Kazan are classified as unfavorable water bodies.

Comprehensive Evaluation of 17 Qualities of 84 Types of Rice Based on Principal Component Analysis

Rice quality is a complex indicator, and people are paying more and more attention to the quality of rice. Therefore, we used seven rice varieties for twelve nitrogen fertilizer treatments and obtained eighty-four rice types with seventeen qualities. It was found that 17 quality traits had different coefficients of variation. Among them, the coefficient of variation of chalkiness and protein content was the largest, 44.60% and 17.89% respectively. The cluster analysis method was used to define four categories of different rice qualities. The principal component analysis method was used to comprehensively evaluate 17 qualities of 84 rice. It was found that rice quality was better under low nitrogen conditions, Huanghuazhan and Lvyinzhan were easier to obtain better comprehensive rice quality during cultivation. Future rice research should focus on reducing protein content and increasing peak viscosity.

Assessment of the Decomposition of Oxo- and Biodegradable Packaging Using FTIR Spectroscopy

The strength and resistance of plastics at the end of their service life can hinder their degradation. The solution to this problem may be materials made of biodegradable and oxo-biodegradable plastics. The aim of this research was to determine the degree and nature of changes in the composition and structure of composted biodegradable and oxo-biodegradable bags. The research involved shopping bags and waste bags available on the Polish market. The composting of the samples was conducted in an industrial composting plant. As a result of the research, only some of the composted samples decomposed. After composting, all samples were analysed using FTIR (Fourier Transformation Infrared) spectroscopy. Carbonyl index and hierarchical cluster analysis method was used to detect similarities between the spectra of the new samples. The analysis of the obtained results showed that FTIR spectroscopy is a method that can be used to confirm the degradation and detect similarities in the structure of the analysed materials. The analysis of spectra obtained with the use of FTIR spectroscopy indicated the presence of compounds that may be a potential source of compost contamination. Plastics with certificates confirming their biodegradability and compostability should be completely biodegradable, i.e., each element used in their production should be biodegradable and safe for the environment.

Fragmentation Typology of Sumatran Tropical Lowland Forest, Labuhanbatu Selatan - Indonesia

Forest land cover experienced changes caused by various factors. Deforestation and forest degradation decreased forest structure and size that produce forest fragmentation. This study aimed to determine spatial distribution patterns and typology of forest fragmentation in the Labuhanbatu Selatan district. The study uses land cover image analysis, forest fragmentation analysis, correlation analysis, and typology analysis. Forest fragmentation is determined based on patch area (CA), patch density (PD), contiguity index (CONTIG), and proximity index (PROX). The study analyzes the correlation between variable factors and the degrees of forest fragmentation to develop a typology of fragmentation forest. The variables used to construct the typology of forest fragmentation are population density, productive age ratio, income, and slope. The classification of forest fragmentation has been completed to create a forest fragmentation typology. To determine the typology of forest fragmentation, the K-Means Cluster analysis method is used. Typology of forests fragmentation of Labuhanbatu Selatan district is three typologies. Typology 1 is the low forest fragmentation of Torgamba, Silangkitang, and Kota Pinang sub-district, typology 2 is moderate forest fragmentation are the Kampung Rakyat, and Typology 3 is high forest fragmentation of Sungai Kanan sub-district.

Segmentasi Konsumen Pupuk Non-Subsidi Di Provinsi Nusa Tenggara Timur

The main goal of the research is to assist market players in entering the fertilizer market in East Nusa Tenggara by identifying and forming a non-subsidized fertilizer consumer segmentation. It is expected to provide market insight for fertilizer producers and determine targets when entering the non-subsidized fertilizer market. This research is a quantitative type described descriptively. The data collection technique was an interview equipped with a questionnaire with a Likert scale of the score. Respondents were food crop and horticultural farmers who use or have used non-subsidized fertilizers. The data analysis technique was the K-Means cluster analysis method. Research succeeded in forming two segments of farmers using non-subsidized fertilizers, passive farmer segment and innovative farmer segment based on psychographics and consumer behavior segmentation variables. Geographic and demographic variable descriptors described the segment profile. Keywords : Fertilizer; Marketing; Non-subsidized; SegmentCorrespondence to : [email protected] Tujuan penelitian ini untuk membantu pelaku pasar dalam memasuki pasar pupuk di Nusa Tenggara Timur dengan mengidentifikasi dan membentuk segmentasi konsumen pupuk non-subsidi. Dengan demikian diharapkan mampu memberikan pengetahuan pasar bagi produsen pupuk dalam menentukan target pasar. Penelitian ini merupakan penelitian kuantitatif yang dideskripsikan secara deskriptif. Teknik pengumpulan data dilakukan melalui wawancara yang dilengkapi dengan kuesioner dengan skor menggunakan skala likert. Responden penelitian ini adalah petani tanaman pangan dan hortikultura yang menggunakan atau pernah menggunakan pupuk non-subsidi. Analisis data menggunakan metode Cluster Analysis K-Means. Penelitian ini berhasil membentuk dua segmen petani pemakai pupuk non-subsidi, yaitu segmen petani pasif dan segmen petani inovatif berdasarkan variabel segmentasi psikografis dan perilaku konsumen. Profil segmen dijelaskan oleh deskriptor variabel geografis dan demografis.Kata Kunci : Non-subsidi; Pemasaran; Pupuk; Segmen

Dietary Patterns and Risk Factors of Frailty in Lebanese Older Adults

Factors associated with frailty, particularly dietary patterns, are not fully understood in Mediterranean countries. This study aimed to investigate the association of data-driven dietary patterns with frailty prevalence in older Lebanese adults. We conducted a cross-sectional national study that included 352 participants above 60 years of age. Sociodemographic and health-related data were collected. Food frequency questionnaires were used to elaborate dietary patterns via the K-mean cluster analysis method. Frailty that accounted for 15% of the sample was twice as much in women (20%) than men (10%). Identified dietary patterns included a Westernized-type dietary pattern (WDP), a high intake/Mediterranean-type dietary pattern (HI-MEDDP), and a moderate intake/Mediterranean-type dietary pattern (MOD-MEDDP). In the multivariate analysis, age, waist to height ratio, polypharmacy, age-related conditions, and WDP were independently associated with frailty. In comparison to MOD-MEDDP, and after adjusting for covariates, adopting a WDP was strongly associated with a higher frailty prevalence in men (OR = 6.63, 95% (CI) (1.82–24.21) and in women (OR = 11.54, 95% (CI) (2.02–65.85). In conclusion, MOD-MEDDP was associated with the least prevalence of frailty, and WDP had the strongest association with frailty in this sample. In the Mediterranean sample, a diet far from the traditional one appears as the key deleterious determinant of frailty.

Evaluation and Analysis of Socio-Economic Development Level and Management in Guangxi province of China

This article takes 14 regions in Guangxi as the research object, selects ten indicators that can measure the level of socio-economic development, establishes an index system for evaluating the regional socio-economic development level of Guangxi regions, and uses principal component analysis method and cluster analysis method carry out comprehensive evaluation and difference analysis among the economic development level of Guangxi regions. First, the primary component analysis method uses to comprehensively evaluate the economic development level of 14 regions in Guangxi. The results show that there are vast differences in the economic development levels of regions in Guangxi. Secondly, a systematic cluster analysis method uses to classify and analyze the differences between regions according to the similarity of economic development status. Finally, combined with the results of principal component analysis and cluster analysis, comprehensive evaluation analysis and discussion on the economic development status of various regions in Guangxi, and based on the evaluation results, proposed countermeasures for the socio-economic development and management in Guangxi province of China.

Quantitative Analysis of Comprehensive Influence of Music Network Based on Logistic Regression and Bidirectional Clustering

This paper makes a quantitative analysis of the comprehensive influence of music networks. Firstly, 11 music features are selected from energy, popularity, and other aspects to build a comprehensive evaluation index of music influence, and the PageRank algorithm is used to quantify the music influence. Secondly, the multiobjective logistic regression is used to construct the music similarity measurement model and, combined with music influence and music similarity, to judge whether the influence of different musicians is the actual influence. Thirdly, the influence and similarity of the same music genre and different music genres are analyzed by using the two-way cluster analysis method. Finally, the lasso region is used for feature selection to obtain the change factors in the process of music evolution and analyze the dynamic changes in the process of music development. Therefore, this paper uses network science to build a dynamic network to analyze the similarity of music, the evolution process, and the impact of music on culture, which has certain research significance and practical value in the fields of music, history, social science, and practice.