scholarly journals PEMETAAN KARAKTERISTIK WILAYAH URBAN DAN RURAL DI WILAYAH BANDUNG RAYA DENGAN METODE SPATIAL CLUSTERING

2020 ◽  
Vol 12 (02) ◽  
pp. 125
Author(s):  
Riya Supriyatin ◽  
Andrea Emma Pravitasari ◽  
Didit Okta Pribadi
Keyword(s):  
Regional Development ◽  
Spatial Clustering ◽  
Secondary Data ◽  
Principal Component ◽  
Physical Factors ◽  
Educational Facilities ◽  
Road Density ◽  
Urban Zone ◽  
Rural Zone ◽  
Availability Index

Perkembangan wilayah suatu daerah yang terus meningkat baik dari segi sosial maupun ekonomi menarik minat penduduk wilayah lain untuk berkegiatan di daerah tersebut. Perkembangan wilayah dapat dipengaruhi oleh berbagai faktor baik faktor fisik maupun non fisik. Penelitian ini bertujuan untuk mengelompokkan dan memetakan karakteristik wilayah urban dan rural di wilayah Bandung Raya berdasarkan tipologi perkembangan wilayah di masing-masing kecamatan. Sehingga pembangunan yang direncanakan dapat efektif dan efisien sesuai kondisi di masing-masing kecamatan. Penelitian ini menggunakan data sekunder yang diperoleh dari berbagai instansi. Variabel yang digunakan antara lain indeks ketersediaan fasilitas ekonomi, indeks ketersediaan fasilitas sosial, indeks ketersediaan fasilitas pendidikan, rasio lahan terbangun, densitas jaringan jalan dan kepadatan penduduk dengan unit penelitian berjumlah 106 kecamatan. Data dianalisis menggunakan metode Skalogram Dimodifikasi, Principal Component Analisis dan Spatial Clustering. Hasil analisis menunjukkan berdasarkan tipologi perkembangan wilayah, Bandung Raya dikelompokan menjadi 3 cluster yaitu urban (perkotaan), suburban dan rural (perdesaan). Cluster perkotaan terdiri atas 34 kecamatan menyebar di Kota Bandung dan Kota Cimahi. Cluster suburban terdiri atas 43 kecamatan menyebar di Kabupaten Bandung Barat dan Kabupaten Bandung. Cluster perdesaan terdiri atas 29 kecamatan menyebar di Kabupaten SumedangKata kunci: fasilitas, lahan terbangun, perkembangan wilayah, Skalogram Dimodifikasi, Spatial ClusterThe development of a region that continues to increase, both in terms of social and economic, attracts residents from other regions to have activities in the area. Regional development can be influenced by various factors, physical and non-physical factors. This study aimed to cluster the Greater Bandung area based on typology of regional development in each sub-district so that the planned development can be effective and efficient according to the conditions in each sub-district. This study used secondary data obtained from various institutions. Variables used in this study were the economic facilities availability index, social facilities availability index, educational facilities availability index, built up area ratio, road density and population density with total 106 sub-districts. These datas were analyzed using the Modified Skalogram method, Principal Component Analysis and Spatial Clustering. The analysis showed that based on the typology of regional development, Greater Bandung can be grouped into 3 clusters, consisting of urban zone, suburban zone and rural zone. Urban zone consists of 34 sub-districts spreading mostly in Bandung City and Cimahi City. Suburban zone consists of 43 sub-districts spreading mostly in West Bandung Regency and Bandung Regency. Rural zone consists of 29 sub-districts spreading mostly in Sumedang RegencyKey words: facilities, built up area, regional development, Modified Skalogram, Spatial Clustering

scholarly journals Study of Settlement Pattern in Klaten District, Central Java Province

2004 ◽  
Vol 10 (2) ◽  
Author(s):  
Agus Dwi Martono
Keyword(s):  
Population Density ◽  
Secondary Data ◽  
Distribution Patterns ◽  
Analysis Data ◽  
Settlement Pattern ◽  
General Distribution ◽  
Survey Method ◽  
Physical Factors ◽  
Road Density ◽  
Housing Density

This study is aimed at studying spatial distribution patterns of settlement, inluding their variations and respective influencing facctors. The ultimated objetives to be ahieved are studying variation of dsitribution patterns of settlement, and the contribution of socio-economi facctors to the existing distribution patterns of settlement under varying topographic areas. The study is conducted in Klaten District, covering 401 villages in the district. A survey method is secondary data analysis. Data are analyzed statistically using T test, varians analysis, correlation, and multiple regresion. The research shows that there is no significant differences in distribution patterns of settlement between the Merapi volcanic slope, the lowland, and the hilly zone. Physical factors are not significantly influencing the distribution patterns of settlement in various topographic zone. A neglegible ifference in the index distribution pattern of settlement can be observed. Hilly zone of the district reveals an index of 0.959. lower than those in the volcanis slope (1.035) and in low land (1.058). distribution patterns of settlement in various topographi zone are ditermine by different sets of socio-economic variables. In the volcanic zone two variables i.e. population density and the portion of sawah area are strongly influencing the distribution patterns of settlement. In this zone population density contributes more than the sawh area. Where as in the low land areas housing density dictates the distribution patterns of settlement. Other variables such as population density, road density, and utilities are less significantly influencing settlement patterns in the low land areas. The same relation between settlement pattern and housing density is also obvious in the distribution patterns of settlement in this hill. In general distribution patterns of settlement in the district are ontrolled by housing density, population density and road density. The higher housing densities, the distribution of hamlets are more spread. The same relation applies to population density. The higher road density the more clustered is the distribution patterns of settleent can be observed in the fast growing areas, rather than the opposite. No differences in distribution patterns of settlement can be observed among development unit areas (SWP) in the district. 

PERKEMBANGANKAWASAN PECINAN SEMARANG

2017 ◽  
Vol 10 (6) ◽  
pp. 361
Author(s):  
Monica Latu Melati ◽  
Ariadne Kristia Nataya ◽  
Alfonsus Arianto Wibowo
Keyword(s):  
Urban Form ◽  
Secondary Data ◽  
Primary Data ◽  
Physical Factors ◽  
Review Analysis ◽  
Urban Heritage ◽  
Observation Area ◽  
Cultural Artefact ◽  
History Of ◽  
Special District

Abstract:Semarang Chinatown  is a special  district in Semarang City  known with its chineese culture, where chineese citizen of Semarang have been living  for centuries. The sustained chineese culture in this area makes Semarang Chinatwon as an urban heritage and cultural artefact in Semarang City. The aims for this paper are to investigate the factors shaping Chinatown Semarang, the development of Chinatown Semarang from time  to time, the urban form elements in Semarang Chinatown, and the correlation between morphological components of Semarang Chinatown. This writing use some review methods, first theoritical overview to get secondary data about physical or non-physical factors forming city, second observation area such as collecting photos and interviewing to get primary data. Data review analysis use qualitative data analysis which is configure with the problems and aims that have been appointed.Keywords:elements of urban form, morphological components, history of Semarang ChinatownAbstrak: Kawasan Pecinan Semarang adalah sebuah kawasan di kota Semarang yang sangat kental dengan budaya Tionghoa. Di sinilah warga keturunan Tionghoa sejak berabad-abad silam menetap di Semarang. Adanya budaya Tionghoa yang masih sangat terjaga menjadikan Kawasan Pecinan Semarang ini sebagai kawasan urban heritage dan artefact budaya di kota Semarang. Tujuan penulisan adalah untuk menemukan faktor pembentuk Kawasan Pecinan Semarang, mengetahui perkembangan Kawasan Pecinan Semarang dari masa ke masa, mengetahui pola bentuk dan elemen kawasan pada Kawasan Pecinan Semarang, serta mengetahui kaitan antara faktor pembentuk kawasan terhadap perkembangan Kawasan Pecinan Semarang. Penulisan ini menggunakan metode kajian berupa tinjauan teori untuk memperoleh data sekunder mengenai faktor-faktor pembentuk kota baik secara fisik maupun non fisik, serta observasi lapangan berupa pengumpulan foto yang dilengkapi dengan wawancara untuk memperoleh data primer. Analisis data kajian dilakukan dengan menggunakan analisis data kualitatif yang disesuaikan dengan permasalahan dan tujuan yang telah ditetapkan.Kata kunci:Elemen Kawasan, Faktor Pembentuk Kawasan, PerkembanganSejarah Kawasan Pecinan Semarang

Investigating Occupation Wise Perception of Customers Towards Access to Cooperative Banking Services

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Neetu Andotra ◽  
Tarsem Lal
Keyword(s):  
Secondary Data ◽  
Principal Component ◽  
Himachal Pradesh ◽  
Primary Data ◽  
Varimax Rotation ◽  
Banking Services ◽  
Banking Service ◽  
Total Data ◽  
Cooperative Banks ◽  
Secondary Information

The present paper aims at investigating the occupation-wise perception of customers towards access to cooperative banking services. The study is both expressive and evaluative in nature. In order to investigate the perception of customers towards access to cooperative banking services, both primary and secondary data has been collected. The primary data have been collected from 540 customers of cooperative banks operating in three northern states of India i.e J&K, Himachal Pradesh, and Punjab. The technique of factor analysis has been used through SPSS (version 17.00) with Principal Component Analysis along with varimax rotation for summarisation of the total data into minimum factors. Secondary information was collected from published sources i.e books, journals, files, cooperative bulletins, organizational reports, annual drafts of Planning and Statistical Department (Government of J&K, Himachal Pradesh, and Punjab), RBI reports, magazines, and Internet. ANOVA has been applied for data analysis. The results of the study shows that there exits significant means difference between perception of customers towards access to Cooperative banking service.

Spatial clustering analysis of green economy based on knowledge graph

2021 ◽  
pp. 1-10
Author(s):  
Shiyuan Zhou ◽  
Xiaoqin Yang ◽  
Qianli Chang
Keyword(s):  
Spatial Data ◽  
Clustering Analysis ◽  
Spatial Clustering ◽  
Evaluation Model ◽  
Principal Component ◽  
Green Economy ◽  
Membership Degree ◽  
Two Dimensional ◽  
Dimensional Graph ◽  
Improved Algorithm

By organically combining principal component analysis, spatial autocorrelation algorithm and two-dimensional graph theory clustering algorithm, the comprehensive evaluation model of regional green economy is explored and established. Based on the evaluation index system of regional green economy, this paper evaluates the development of regional green economy comprehensively by using principal component analysis, and evaluates the competitive advantage of green economy and analyzes the spatial autocorrelation based on the evaluation results. Finally, the green economy and local index score as observed values, by using the method of two-dimensional graph clustering analysis of spatial clustering. In view of the fuzzy k –modes cluster membership degree measure method without considering the defects of the spatial distribution of object, double the distance and density measurement of measure method is introduced into the fuzzy algorithm of k –modes, thus in a more reasonable way to update the membership degree of the object. Vote, MUSH-ROOM and ZOO data sets in UCI machine learning library were used for testing, and the F value of the improved algorithm was better than that of the previous one, indicating that the improved algorithm had good clustering effect. Finally, the improved algorithm is applied to the spatial data collected from Baidu Map to cluster, and a good clustering result is obtained, which shows the feasibility and effectiveness of the algorithm applied to spatial data. Results show that the development of green economy using the analysis method of combining quantitative analysis and qualitative analysis, explores the connotation of green economy with space evaluation model is feasible, small make up for the qualitative analysis of the green economy in the past, can objective system to reflect the regional green economic development level, will help policy makers scientific formulating regional economic development strategy, green integrated development of regional green economy from the macroscopic Angle, the development of network system.

Availability and Spatial Inequality of Rural Infrastructure in Jungle Mahal Blocks of Purulia District, India

2021 ◽  
pp. 232102492110082
Author(s):  
Uttam Kumar Patra ◽  
Suman Paul
Keyword(s):  
Quality Of Life ◽  
Principal Component Analysis ◽  
Regional Development ◽  
Principal Component ◽  
Spatial Inequality ◽  
Rural Infrastructure ◽  
Financial Infrastructure ◽  
Purulia District ◽  
Dimension Index

Rural infrastructure is fundamental and central to the concept of quality of life as well as human development. The major characteristic of regional development is the constant widening of regional disparity in India after different plan period. Various Finance Commissions and Planning Commissions laid emphasis on the objective of achieving balanced regional development. The article identifies a gap in terms of education, health, communication and financial infrastructure in the study of panchayats of Jungle Mahal blocks. Mapping of regional disparities can aid in effective policymaking at the preliminary stage of planning. Panchayat level inequality has been analysing using dimension index and principal component analysis (PCA). Wide disparities in the availability of rural infrastructure have been pointed out and proper recommendation has also been made to minimise the gap in spatial inequality.

scholarly journals Agglomeration in Tourism: The Case of SEZs in Regional Development Goals

2019 ◽  
Vol 35 (2) ◽  
pp. 342-351
Author(s):  
Fitri Rahmafitria ◽  
Heru Purboyo ◽  
Arief Rosyidie
Keyword(s):  
Regional Development ◽  
Local Community ◽  
Meta Analysis ◽  
National Development ◽  
Tourism Development ◽  
Secondary Data ◽  
Regional Tourism ◽  
Development Goals ◽  
Development Approach ◽  
Economic Zones

The Special Economic Zones (SEZs) is one of the tourism agglomeration models whose effectiveness in meeting development goals needs to be analyzed. Tourism agglomeration policies that are not in line with the national development goals will cause inequality, especially in the welfare of the local community. The aim of this study is to analyses the effectiveness of SEZ policies in achieving regional development goals by comparing the community prosperity level with the goals of tourism development. The study is conducted by employing the meta-analysis method and uses secondary data of economic study from the West Nusa Tenggara Province which compares the National Development Index (HDI) with the regional tourism development targets. There is a quite large gap between the quality of education of the local community and the standard of human resource (HR) requirements specified in the SEZs. Management of tourism agglomeration must be carried out with a sustainable development approach, namely by integrating tourism development strategies into regional development.

scholarly journals Analisis Faktor–Faktor yang Mempengaruhi Alokasi Anggaran Belanja Modal

2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Agus Sukarno ◽  
Hadioetomo Hadioetomo ◽  
Agus Haryadi
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Regional Development ◽  
Capital Expenditure ◽  
Secondary Data ◽  
Revenue Sharing ◽  
Capital Cost ◽  
Regional Autonomy ◽  
Area Effect ◽  
Fixed Assets

Regional Autonomy intended that each region can be independent in conducting regional development in the form of capital cost in order to increase the area of fixed assets. The purpose of this study is to determine whether there is the influence of the Economic Growth, General Allocation Fund, Special Allocation Fund, Revenue Sharing Fund, Original Income Area, SiLPA, and Total Area against Capital Expenditure of the District/City in Indonesia. This study used secondary data obtained from the Supreme Audit Agency in 2017. The sample used in the study were 180 District/City located in Indonesia. The way to analyze the data by using multiple linier regression analysis. Based on the analysis stated that the variable Revenue Sharing Fund, Original Income Area, Total Area effect on Capital Expenditure. While Economic Growth, General Allocation Fund, Special Allocation Fund, SiLPA does not effect on Captital Expenditure.

ANALISIS LINGKUNGAN KERJA REKAM MEDIS DI RUMAH SAKIT PTPN VIII SUBANG

2021 ◽  
Vol 15 (1) ◽  
pp. 10-19
Author(s):  
M Dana Prihadi
Keyword(s):  
Work Environment ◽  
Negative Impact ◽  
Secondary Data ◽  
Noise Pollution ◽  
Primary Data ◽  
Physical Work ◽  
Work Place ◽  
Physical Factors ◽  
Snowball Sampling ◽  
A Value

Abstrak - Penelitian ini dibuat dengan didasarkan pada sebuah permasalahan terhadap faktor secara fisik di rumah sakit. Termasuk hal mengenai peralatan dan sarana prasarana kerja yang belum tertata dengan baik, temperatur ruangan tempat bekerja terasa panas dan tidak dingin, tempat bekerja yang kurang nyaman dan kondusif, terjadi kepadatan di lingkungan kerja, polusi suara yang tinggi menyebabkan kebisingan pada lingkungan kerja, luas ruangan kurang memadai yang mengakibatkan area perekam medis tersebut bekerja termasuk dalam beraktivitas berdampak buruk terhadap tingkat fokus bekerja tenaga perekam medis secara langsung. Pada akhirnya kenyamanan kerja tenaga perekam medis terganggu. Penelitian ini menggunakan teknik sampling bola salju dalam penentuan sampel serta memakai metode penelitian deskriptif dan verifikatif dalam pembahasan dan pengolahan penelitian. Data primer merupakan teknik pengumpulan data yang dipakai dan juga teknik data sekunder. Penelitian ini menghasilkan informasi bahwa lingkungan bekerja, konsentrasi dan kenyamanan bekerja masuk dalam kategori cukup baik. Dari kegiatan wawancara dan kuesioner terhadap 9 sampel yang diuji melalui lembar study kasus, menghasilkan informasi bahwa secara bersama-sama lingkungan bekerja fisik mempunyai pengaruh yang positif serta signifikan terhadap kenyamanan kerja. Pengaruh lingkungan bekerja terhadap kepuasan bekerja diperoleh besaran nilai yaitu 66,7%, kemudian faktor lain yang juga mempengaruhi akan tetapi tidak dibahas dalam penelitian ini menunjukkan besaran nilai 33,3%.  Abstract - This research was made based on a problem with physical factors in the hospital. Including matters regarding work equipment and infrastructure that have not been properly organized, the room temperature is hot and not cold, the work place is less comfortable and conducive, there is density in the work environment, high noise pollution causes noise in the work environment, the area of ​​the room inadequate which resulted in the location of the medical recorder working including in activities having a negative impact on the level of focus of the medical recorders work directly. In the end, the work comfort of the medical recorders was disrupted. This study uses snowball sampling techniques in determining the sample and uses descriptive and verification research methods in the discussion and research processing. Primary data is a data collection technique used as well as secondary data techniques. This research produces information that the work environment, concentration and work comfort are in the good enough category. From interviews and questionnaires to 9 samples tested through the case study sheet, it provides information that together the physical work environment has a positive and significant effect on work comfort. The influence of the work environment on job satisfaction obtained a value of 66.7%, then other factors that also influence but are not discussed in this study show a value of 33.3%..

scholarly journals A Power Performance Online Assessment Method of a Wind Turbine Based on the Probabilistic Area Metric

2020 ◽  
Vol 10 (9) ◽  
pp. 3268
Author(s):  
Zhao Xiao ◽  
Qiancheng Zhao ◽  
Xuebing Yang ◽  
AnFeng Zhu
Keyword(s):  
Wind Turbine ◽  
Spatial Clustering ◽  
Principal Component ◽  
Assessment Method ◽  
Online Assessment ◽  
Power Performance ◽  
Operation Rules ◽  
Area Metric ◽  
Control Command ◽  
Power Curves

This paper presents an approach for creating online assessment power curves by calculating the variations between the baseline and actual power curves. The actual power curve is divided into two regions based on the operation rules of a wind turbine, and the regions are individually assessed. The raw data are filtered using the control command, and outliers are detected using the density-based spatial clustering of applications with noise clustering method. The probabilistic area metric is applied to quantify the variations of the two power curves in the two regions. Based on this result, the variation in the power curves can be calculated, and the results can be used to dynamically evaluate the power performance of a wind turbine. The proposed method is verified against the derivation of secondary principal component method and traditional statistical methods. The potential applications of the proposed method in wind turbine maintenance activities are discussed.

Mite fauna associated with bird nests in Southern Brazil

2018 ◽  
Vol 23 (3) ◽  
pp. 426 ◽  
Author(s):  
Darliane Evangelho Silva ◽  
Guilherme Liberato Da Silva ◽  
Joseane Moreira Do Nascimento ◽  
Noeli Juarez Ferla
Keyword(s):  
Wild Bird ◽  
Dermatophagoides Pteronyssinus ◽  
Mite Species ◽  
Southern Brazil ◽  
Tyrophagus Putrescentiae ◽  
Urban Zone ◽  
Rural And Urban ◽  
Rural Zone ◽  
Veterinary Importance ◽  
Ornithonyssus Bursa

Interactions between birds and mites have allowed mites to act as ectoparasites or to be associated with the micro-environments of nests. The aim of this study was to identify the mite fauna associated with wild bird nests in the rural and urban zones of different environments, and analyze the importance of birds as potential carriers of these organisms to households or poultry houses. In the rural zone, the following environments were assessed: Countryside (C), Forest (F), Aquatic (A), Orchards (O), and Residential (R), and in the urban zone, a similar division was used (C, O, R), with absence of environments (A) and (F). Apart from the Suborder Oribatida found in the 52 bird nests sampled in both zones, a total of 24,274 mites were collected and identified as 67 species in 34 families. There was a predominance of mites in the rural zone (90%), with higher richness in (C) of both zones and higher abundance in (R) and (A) of the rural zone and (O) of the urban zone. Mite species of medical-veterinary importance with the highest abundance were Ornithonyssus bursa in nests of Certhiaxis cinnamomeus and Columbina picui; Tyrophagus putrescentiae in nests of Columbina picui and Pitangus sulphuratus; and Dermatophagoides pteronyssinus in nests of Troglodytes musculus and Pitangus sulphuratus. This study showed that the wild bird nests are depositories of mites, including ectoparasites of medical-veterinary importance.

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