Best Weighted Selection in Handling Error Heterogeneity Problem on Spatial Regression Model

Total Page:16

File Type:pdf, Size:1020Kb

Best Weighted Selection in Handling Error Heterogeneity Problem on Spatial Regression Model Best Weighted Selection in Handling Error Heterogeneity Problem on Spatial Regression Model Sri Sulistijowati Handajani1, Cornelia Ardiana Savita2, Hasih Pratiwi1, and Yuliana Susanti1 1Statistics of Study Program FMIPA, Universitas Sebelas Maret, Jl.Ir. Sutami 36 A Kentingan, Surakarta, Indonesia 2Mathematics of Study Program FMIPA, Universitas Sebelas Maret, Jl.Ir. Sutami 36 A Kentingan, Surakarta, Indonesia Keywords: Spatial Regression Model, Heterogeneity in Error, Ensemble Technique, R2, RMSE. Abstract: Spatial regression model is a regression model that is formed because of the relationship between independent variables with dependent variable with spasial effect. This is due to a strong relationship of observation in a location with other adjacent locations. One of assumptions in spatial regression model is homogeneous of error variance, but we often find the diversity of data in several different locations. This causes the assumption is not met. One such case is the poverty case data in Central Java Province. The objective of this research is to get the best model from this data with the heterogeneity in error. Ensemble technique is done by simulating noises (m) from normal distribution with mean nol and a standard deviation σ of the spasial model error taken and adding noise to the dependent variable. The technique is done by comparing the queen weighted and the cross-correlation normalization weighted in forming the model. Furthermore, with these two weights, the results will be compared using R2 and RMSE on the poverty case data in province of Central Java. Both of weights are calculated to determine the significant factors that give influence on poverty and to choose the best model. The results of the case study show that the spatial regression model of the SEM ensemble already does not have a variance error that is not homogeneous and the model using cross-normalization weight is better than the spatial regression model of SEM ensemble with Queen contiguity weight. 1 INTRODUCTION obtained without considering the spatial effect then the conclusions obtained will be invalid. Regression modeling is one form of classical Models with spatial effects have been proposed by modeling that is used to provide a model of the Qu (2013), i.e. the Spatial Auto Regressive (SAR) relationship between independent variables with model which shows the dependence of observation on dependent variable. Fulfillment of the assumptions of the dependent variable (autoregression) between the this modeling is necessary to ensure that the model is locations. While Mac Millen (1992) discusses the good and can be used for prediction. The problem that model of Spatial Error Model (SEM) which indicates often arises is when the model does not meet the an error correlation between locations. necessary assumptions. In spatial models that formed, there arose another The condition of data in the field that the more problem that is the heterogeneity of errors that diverse the pattern resulted in the development of resulted in instability in the parameter estimation. The existing classical models. One of the assumptions that instability of the parameter prediction resulted in less often is not met is the autocorrelation of errors. If the valid results. This is also stated by Dimopoulus, dependent variable is drawn from several adjacent Tsiros, Serelis and Chronopoulou (2004) regarding areas, this often results in errors of the resulting its application in the neural network model for model being correlated. The phenomena studied often various nonlinear problems. This instability is a show significant associations or interactions of weakness of the model that is formed. variables in adjacent areas, as expressed by Anselin Several approaches to the classical regression (1988). The development of a regression model by model have been done to overcome these assumption adding spatial effects can eliminate any dependencies deviations. Such as the robust regression method by between errors. This is in accordance with the results Chen (2002) with its emphasis on the detection of of Lesage (1997) which states that if the model extreme observations called outliers and its resistance 293 Handajani, S., Savita, C., Pratiwi, H. and Susanti, Y. Best Weighted Selection in Handling Error Heterogeneity Problem on Spatial Regression Model. DOI: 10.5220/0008521002930299 In Proceedings of the International Conference on Mathematics and Islam (ICMIs 2018), pages 293-299 ISBN: 978-989-758-407-7 Copyright c 2020 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved ICMIs 2018 - International Conference on Mathematics and Islam to the model. Approach of regression model with 푀 independent variable of the data in the i-th estimation has also been proposed by Montgomery observation unit and the t-time, 푊 is the standardized and Peck (2006) and Yuliana and Susanti (2008). The spatial weighted row matrix, α is the intercept, β is the model solutions with S estimation have been parameter of the independent variable, 푢 spatial error introduced by Rousseeuw and Yohai (1984), and MM 푖푡 estimation has been discussed also by Yohai (1987). in the i-th region of time t, and 휀푖푡 is the model error The problems that arise is how to approach the on the i-th observation and the th time. regression model that error in addition to The model (1) is further simplified to be autocorrelation also there is heterogeneity in the error obtained from the classical regression model. 퐘 = 퐙후 + (퐈 − 훌퐖)−ퟏ휺 To overcome the errors that contain autocorrelation is by spatial regression modeling. In where Z = [I : X] dan 후 = [휶 ∶ 휷]푻 . this research will be discussed the problem of heterogeneity of error on spatial regression model By estimating the parameters using the maximum with solution which will be applied in this research is likelihood method, it is necessary to first form the ensemble method. According to Mevik, Segtnan and likelihood function. Using the Jacobian Naes (2005) and Canuto, Oliveira, Junior, Santos and transformation is obtained Abreu (2005), ensemble techniques can be used to reduce the diversity contained in predictive models 휕휀 휕(퐘−퐙후)(퐈−훌W) and can improve prediction accuracy. This method is | | = | | = |퐈 − 훌퐖|, as one solution by combining k spatial regression 휕퐘 휕퐘 model formed from the addition of noise. The approach is through non-hybrid ensemble approach and likelihood function : and hybrid ensemble approach. The principle of non- 푇 hybrid ensemble method is to combine estimation 2 |퐈−훌퐖| ((퐘−퐙후)(퐈−훌퐖)) (퐘−퐙후)(퐈−훌퐖) 퐿(훾, 휆, 휎 ) = 푛 푒푥푝 (− 2 ) results from simulation of one model to a final (2휋휎2)2 2휎 estimate. While hybrid ensemble method involves (2) several suitable models and combine the predicted simulation results generated by each model into one To facilitate the estimation of the parameters, the final prediction. In this study we studied non-hybrid two sections of (2) are logged and the following ensemble approach by comparing queen weights with results are obtained spatial weights of cross-correlation normalization and using R2 and RMSE indicators to select the best 푛 푛 푙푛퐿(훾, 휆, 휎2) = − ln 2π − ln 휎2 approach. 2 2 푇 ((풀 − 풁휸)(푰 − 흀푾)) (풀 − 풁휸)(푰 − 흀푾) + ln|푰 − 흀푾| (− ) 2휎2 2 SPATIAL PANEL REGRESSION MODEL (3) In the data taken based on time and location, the 2 analyzes were performed using panel data analysis. By partially deriving (3) against 휎 , 훾 and λ and Due to the effect of spatial effect in panel data making it equal to zero, we get the estimator for 휎2, analysis so that the appropriate model used is spatial 훾 and λ as follows panel regression model. One of the spatial panel regression models is the panel spatial error model (SEM) (Lesage, 2009) yang sebelumnya 2 휕푙푛퐿(훾, 휆, 휎 ) dikembangkan dari model SEM yang diusulkan = Anselin (2003). The SEM panel regression model is 휕휎2 푇 푌 = 훼 + 푋 훽 + 푢 ; 푢 = 휆푊푢 + 휀 (1) 푛 ((퐘 − 퐙후)(퐈 − 훌퐖)) (퐘 − 퐙후)(퐈 − 훌퐖) 푖푡 푖푡 푖푡 푖푡 푖푡 푖푡 − + = 0 2휎2 2휎22 (퐘 − 퐙후 − 훒퐖퐘)푇(퐘 − 퐙후 − 훒퐖퐘) where 푌푖푡 being the dependent variable of the data in 휎̂2 = th 푛 the 푖 observation unit and the t-time,푋푖푡is the 294 Best Weighted Selection in Handling Error Heterogeneity Problem on Spatial Regression Model 휕푙푛퐿(훾, 휆, 휎2) 3. Determine independent variables that = 휕훾 significantly influence the percentage of poor people with stepwise method to form a simple (퐙(훌퐖퐘)푻) − 퐙(퐘)푻 + (퐈 − 훌퐖) ( ) linear regression model. 훾(퐙푇풁 − 퐙(퐙훌퐖)푻)푇 4. Determine the weighted matrix by using the = 0 휎2 spatial matrix of Queen contiguity and the cross- correlation normalization matrix. (퐘푇퐙 − 퐙(훌퐖퐘)푻)(퐈 − 훌퐖) 훾̂ = 5. Detect spatial effect by using Moran Index test. (퐙푇퐙 − 퐙(퐙훌퐖)푻)(퐈 − 훌퐖) 6. Test the LM to determine the effect of spatial dependence. 7. Establish a corresponding spatial regression 휕푙푛퐿(훾, 휆, 휎2) = model and test its assumptions. 휕휆 푛 8. Add noise which is generated k times from the −휔 1 푖 푇 푇 normal distribution with zero mean and model ∑ − 2 ((퐈 − 훌퐖)(2(퐙후퐖퐘) − 퐙후(퐙후퐖) )) 1 − 휆휔푖 휎 푖=1 error variance of σ and giving a zero value to the = 0 negative value data, to dependent variable to generate k new data. 9. In the k new data is done spatial regression 푛 휎2 −휔 modeling as follows. ̂ 푖 푇 휆 = ( (∑ )) + 퐙후(퐙후퐖) a. Test Lagrange for spatial dependence 퐈 − 훌퐖 1 − 휆휔푖 푖=1 b. Test the Breusch Pagan to test for spatial 푇 − 2(퐙후퐖퐘) diversity c. Estimate model parameters and test their significance d. Measuring the goodness of the spatial 3 EXPERIMENTAL DETAILS regression model with R2. 10. Establish an ensemble model which is a 1. Derive estimation the parameters for the SEM composite of k spatial regression models by spatial panel regression model with maximum calculating the average coefficients of the model.
Recommended publications
  • Analysis of Economic Growth Factors in West Pantura Areas of Central Java
    Jejak Vol 9 (1) (2016): 145-158. DOI: http://dx.doi.org/10.15294/jejak.v9i1.7204 JEJAK Journal of Economics and Policy http://journal.unnes.ac.id/nju/index.php/jejak Analysis of Economic Growth Factors in West Pantura Areas of Central Java Sarwono1 1Diponegoro University, Indonesia Permalink/DOI: http://dx.doi.org/10.15294/jejak.v9i1.7204 Received: January 2016; Accepted: February 2016; Published: March 2016 Abstract There are six factors of economic growth which influence on the economic growth level is analyzed in this research. The factors are: General Allocation Fund, government expenditure, investment, quality of human resources, agglomeration, and labor. The analysis tool used ist the regression of data panel/pooled data with the approach of Least Square Dummy Variable (lSDV). This approach is used because it is in accordance with the aim of research, which is to know the role of the economic growth factors to the GDP and to know the rate of economic growth from 2004 to 2013 in the West Pantura (northern coastal) areas of Central Java. From the estimation, it is known that the economic growth factor of human resource is the one that influence the GDP ipm with coefficient of 0.199316 percent, followed by the labor factor with coefficient of 0.165086 percent, an investment of 0.0013066 percent and the government expenditure with coefficient of minus 0.019731 percent. However, the General Allocation Funds does not have much influence on the economic growth, only at 0.009572 percent. Whereas, the agglomeration has no influence on the role of the GDP and on the economic growth in the West Pantura areas of Central Java.
    [Show full text]
  • Profitability and Farmers Conservation Efforts on Sustainable Potato Farming in Wonosobo Regency
    Ilmu Pertanian (Agricultural Science) Vol. 1 No.1 April, 2016 : 031-036 Available online at http://journal.ugm.ac.id/jip DOI: doi.org/10.22146/ipas.9912 Profitability and Farmers Conservation Efforts on Sustainable Potato Farming in Wonosobo Regency Liana Fatma Leslie Pratiwi, Suhatmini Hardyastuti, Lestari Rahayu Waluyati Magister Management of Agribusiness, Faculty of Agriculture, Universitas Gadjah Mada Jln. Flora no. 1, Bulaksumur, Sleman, Yogyakarta 55281 *Corresponding email: [email protected] Received: 4 th March 2016 ; Revised: 15 th March 2016 ; Accepted: 23 rd January 2017 ABSTRACT It takes into account in potato farming sustainability, since it was recognised as a holticultural commodity for farmers’ subsistence in Wonosobo Regency. For the reason that farming land was being degraded by errossion, the potato productivity apparently continued to decline. Potato farming sustainability can be deliberated from economic (profitability) and environmental (conservation efforts) points of view in order to remain profitable in a long term sustainable environment. This study is aimed to (1) to analyse the profitability of potato farming; (2) to analyse farmers’ effort on soil conservation and factors which affected sustainability of potato farming. The method used in this study was basic descriptive analysis. The study site was in Kejajar District, Wonosobo Regency, subsequently 50 random farmers as respondences was obtained. Gross Margin, Return on Invested Capital, and Operating Ratio were used to measure the profitability of potato farming. Conservation Activity Index (CAI) was used to measure farmers’ effort on soil conservation, while paired liner regression model with Ordinary Least Square (OLS) method was used to understand the factors which affected the conservation efforts of test sites.
    [Show full text]
  • Implementation of Spatial Planning in the Dieng Plateau Region of Banjarnegara Regency
    Implementation of Spatial Planning in the Dieng Plateau Region of Banjarnegara Regency Vina Fadhrotul Mukaromah a, 1*, Joni Purwo Handoyo b, 2 a Fakultas Geografi, Universitas Gadjah Mada Jalan Kaliurang, Sekip Utara, Bulaksumur, Sinduadi, Sleman, DIY 1 [email protected] / [email protected]; [email protected] / [email protected] Informasi artikel A B S T R A K Sejarah artikel Dataran Tinggi terletak di 6 wilayah, yaitu Banjarnegara, Wonosobo, Diterima : 18 Februari 2019 Pekalongan, Batang, Temanggung, dan Kendal. Kawasan yang Revisi : 8 Mei 2019 diprioritaskan berada di Kabupaten Banjarnegara. Pemrioritasan ini Dipublikasikan : 3 Oktober 2019 didasarkan pada potensi kerusakan lingkungan dan pemanfaatan ruang Kata kunci: di dalamnya. Penelitian ini bertujuan untuk menganalisis kondisi Penggunaan Lahan penggunaan lahan eksisting beserta peruntukan ruang kawasan sesuai Peruntukan Ruang RTRW Kabupaten Banjarnegara Tahun 2011-2031. Selain itu, dianalisis Implementasi Penataan Ruang juga kesesuaian antara keduanya, berpedoman pada kriteria dalam Permen ATR/BPN Nomor 6 Tahun 2017 beserta faktor-faktor yang menyebabkan. Metode yang digunakan adalah metode kualitatif. Kondisi eksisting diinterpretasi melalui Citra Quickbird dan survey lapangan. Hasil penelitian menunjukan 11 jenis penggunaan lahan eksisting yang teridentifikasi dengan luasan terbesar kebun sayur dan ada 10 jenis peruntukan ruang dengan luasan terbesar lahan pertanian hortikultura. Tingkat kesesuaian keduanya tergolong tinggi. Dari kriteria jenis dan besaran, ketidaksesuaian memiliki persentase sebesar 9,36%. Dari segi dampak, pemanfaatan ruang menimbulkan dampak lokal dan regional. Kondisi ini dipengaruhi oleh faktor alami, faktor sosial, serta faktor lainnya (faktor teknis dan faktor regulasi). A B S T R A C T Keywords: Dieng Plateau is located across 6 administratives jurisdiction.
    [Show full text]
  • Kerentanan Wilayah Terhadap Erupsi Gunung Sindoro-Sumbing
    Perpustakaan Universitas Indonesia >> UI - Skripsi (Open) Kerentanan wilayah terhadap erupsi Gunung Sindoro-Sumbing (Kabupaten Wonosobo-Temanggung, Jawa Tengah) = eruption vulnerability of Mount Sindoro-Sumbing (Wonosobo- Temanggung Regency, Central Java) Apriliana Deskripsi Dokumen: http://lib.ui.ac.id/opac/ui/detail.jsp?id=20317191&lokasi=lokal ------------------------------------------------------------------------------------------ Abstrak Kerentanan merupakan derajat tingkat dimana manusia dengan sistem lingkungannya mengalami gangguan/tekanan akibat adanya bahaya yang terjadi dan dapat menimbulkan bencana atau tidak. Secara umum kajian terbaru tentang kerentanan sekarang ini telah mengalami pergeseran dari penilaian kerentanan tradisional yang hanya berkonsentrasi pada satu tekanan faktor atau sumber daya, menjadi banyak faktor yang mempengaruhinya. Penelitian ini, mengkaji tentang kerentanan sosial kependudukan, kerentanan ekonomi dan kerentanan fisik yang muncul dari bahaya erupsi Gunung Sindoro-Sumbing. Metode penelitian yang digunakan untuk menentukan tingkat kerentanan adalah pembobotan dari BNPB dan analisis spasial dari pola persebaran permukiman. Secara keseluruhan terdapat 112 desa yang masuk dalam zona bahaya Gunung Sindoro dan Gunung Sumbing dengan 41 desa termasuk dalam daerah administrasi Kabupaten Wonosobo dan 71 desa termasuk dalam daerah administrasi Kabupaten Temanggung. <hr> <b>Abstract</b><br> Vulnerability is the degree to which the human environment system disorders/stress due to hazards that occur and can lead to catastrophic or not. Recent studies on the vulnerability is now experiencing a shift from traditional vulnerability assessment concentrates only on one factor or resource, to a lot of factors that influence it. This study, examines the social vulnerability, economic vulnerability and physical vulnerability that arising from the hazard cause eruption of Mount Sindoro-Sumbing. This study use weighting methode from BNPB and spatial analisis of residence spread.
    [Show full text]
  • Pendampingan Siswa Pada Program Belajar Dari Rumah Untuk Membangun Semangat Siswa Sekolah Dasar Di Desa Pekalongan Kecamatan Winong Kabupaten Pati
    JIPS, Vol. 2 No. 1 Jurnal Inovasi Pembelajaran di Sekolah Halaman: 12 - 17 DOI: https://doi.org/10.51874/jips.v1i01.8 Mei 2021 ISSN 2774-9363 (Cetak) ISSN 2774-9746 (Online) Jurnal Inovasi Pembelajaran di Sekolah Pendampingan Siswa pada Program Belajar Dari Rumah untuk Membangun Semangat Siswa Sekolah Dasar di Desa Pekalongan Kecamatan Winong Kabupaten Pati Indah Puji Lestari, Veryliana Purnamasari, Iin Purnamasari Program Studi Pendidikan Guru Sekolah Dasar, Universitas PGRI Semarang Email: [email protected] Abstrak Desa Pekalongan adalah sebuah desa yang ada di Kecamatan Winong, Kabupaten Pati, Provinsi Jawa Tengah Indonesia. Kegiatan Kuliah Kerja Nyata (KKN) yang dilaksanakan mulai 26 Januari sampai dengan 26 Februari 2021, Berdasarkan data yang diperoleh Desa Pekalongan memiliki kondisi, potensi, dan permasalahan yang berbeda-beda seperti adanya permasalahan yang dirasakan siswa SD, SMP, SMA yang terdampak adanya Covid- 19 menjadikkannya mau tidak mau siswa-siswi memberlangsungkan program belajar dari rumah. Kuliah Kerja Nyata (KKN) merupakan bentuk kegiatan pengabdian kepada masyarakat yang bersifat khusus, karena dalam KKN darma pendidikan dan pengajaran, penelitian serta pengabdian masyarakat dipadukan kedalamnya dan melibatkan sejumlah mahasiswa dan sejumlah staf pengajar, serta unsur masyarakat. Berdasarkan hal tersebut mahasiswa KKN Universitas PGRI Semarang tidak terlepas fungsinya sebagai mahasiswa pendidikan, diharapkan dapat menyalurkan ilmu atau pengetahuan yang didapat dari bangku perkuliahan kepada orang lain. Teknik
    [Show full text]
  • Youth Center Dengan Pendekatan Arsitektur Regionalisme Di Kabupaten Magelang
    YOUTH CENTER DENGAN PENDEKATAN ARSITEKTUR REGIONALISME DI KABUPATEN MAGELANG Risya Agus Arifah, Edi Pramono Singgih, Marsudi Program Studi Arsitektur Jurusan Arsitektur Fakultas Teknik Universitas Sebelas Maret Surakarta Email : [email protected] Abstract: Designing Youth Center in Magelang Regency, motivated by positive environmental needs of adolescents, especially in Magelang Regency which currently didn’t have a special space to carry out various activities such as sports, arts and skills, as well as the potential and achievements of young people in Magelang Regency in the field of sport and art have not received guidance. The purpose of this architectural planing is to provide a place for the youth in Magelang Regency wich can accomodate recreation, socializing, innovate, and develop talent, so that they can have wholesome recreational facility that can develop their interests and talents as well as socializing ability wich will bring the better changes. The approach used in determining the design is by using the concept of Regionalism Architecture which is applied in form and fasade building as well as the pattern of mass arrangement. The result obtained is the design of a training and recreation facilities for young people that is Youth Center in Magelang Regency with Regionalism Architecture approach, wich can visible in the use of Borobudur Temple elements, such as stone material, stone step pyramid structure landscape arragement, centrally balanced composition, application of Borobudur Temple ornamens, The main building floor plan wich has a form that resembles Borobudur Temple floor plan, as well as the shape of a pyramid roof wich is the application form from Borobudur Temple stupa.
    [Show full text]
  • INDONESIAN JOURNAL on GEOSCIENCE Risk Assessment Of
    Indonesian Journal on Geoscience Vol. 7 No. 2 August 2020: 215-224 INDONESIAN JOURNAL ON GEOSCIENCE Geological Agency Ministry of Energy and Mineral Resources Journal homepage: hp://ijog.geologi.esdm.go.id ISSN 2355-9314, e-ISSN 2355-9306 Risk Assessment of Groundwater Abstraction Vulnerability Using Spatial Analysis: Case Study at Salatiga Groundwater Basin, Indonesia Thomas Triadi Putranto, Tri Winarno, and Axel Prima Agita Susanta Department of Geological Engineering, Diponegoro University Jln. Prof. H. Soedharto,S.H., Tembalang - Semarang, Indonesia 50275 Corresponding author: [email protected] Manuscript received: April, 4, 2019; revised: September, 19, 2019; approved: January, 23, 2020; available online: July, 16, 2020 Abstract - Salatiga Groundwater Basin (SGB) is located in Java Island, Indonesia. Administratively, it covers Se- marang Regency, Salatiga City, and Boyolali Regency. Industry and community use groundwater to fulfil their daily need. Increasing number of deep wells that extract groundwater will cause some environmental problems, such as lowering groundwater level and subsidence at SGB. Thus, there is a need to assess the adverse impacts of groundwater abstraction. Risk assessment of groundwater vulnerability due to abstraction is the goal of this study. The research method was taking account of weighting of geological parameters, such as response characteristics of the aquifers, characteristics of aquifer storage, aquifer thickness, piezometric depth, and distance from the shoreline to conduct the groundwater vulnerability mapping. It was then overlaid on a map of regional spatial plan to develop the map of vulnerability risk due to abstraction. The groundwater vulnerability due to abstraction is categorized in the medium level. After being overlaid by the land use map, the risk of groundwater vulnerability due to abstraction is classified into three kinds, which are low, medium, and high.
    [Show full text]
  • Analisis Geospasial Perubahan Penggunaan Lahan Dan
    JGISE Vol. 3 No. 2 (2020), pp. 152 - 160 | https://doi.org/10.22146/jgise.60931 JGISE Journal of Geospatial Information Science and Engineering ISSN: 2623-1182 | https://jurnal.ugm.ac.id/jgise Analisis Geospasial Perubahan Penggunaan Lahan dan Kesesuaiannya Terhadap RTRW Kabupaten Purworejo Tahun 2011-2031 Geospatial Analysis of Land Use Changes in 2008-2013 and Their Suitability to the RTRW of Purworejo Regency in 2011-2031 Virgiawan Aji Saputra, Purnama Budi Santosa Department of Geodetic Engineering, Fakulty of Engineering, Universitas Gadjah Mada, INDONESIA Penulis Korespondensi: Purnama Budi Santosa | Email: [email protected] Diterima (Received): 28/10/2020 Direvisi (Revised): 15/11/2020 Diterima untuk Publikasi (Accepted): 16/11/2020 ABSTRAK Kabupaten Purworejo terletak pada jalur lintas selatan di wilayah Jawa Tengah yang menghubungkan Yogyakarta dengan kota-kota lain di wilayah selatan Jawa Tengah seperti Kutoarjo, Kebumen, Purwokerto, serta kota-kota lainnya. Letak Kabupaten Purworejo yang strategis ini berdampak pada dinamika sosial, ekonomi, dan kependudukan, khususnya pertumbuhan wilayah. Berdasarkan fenomena tersebut, penelitian ini bertujuan untuk mengetahui perubahan penggunaan lahan yang terjadi di Kabupaten Purworejo, serta kesesuaiannya dengan Rencana Tata Ruang Wilayah (RTRW) tahun 2011-2031. Metode yang digunakan adalah pendekatan analisis geospasial untuk melakukan analisis spasial-temporal perubahan spasial penggunaan lahan dari tahun 2008 dan 2013. Hasil analisis perubahan spasial ini kemudian dikorelasiakan dengan peta RTRW Kabupaten Purworejo tahun 2011-2031 untuk mengetahui tingkat kesesuaian pengunaan lahan di Kabupaten Purworejo terhadap RTRW. Hasil penelitian menunjukkan bahwa dalam waktu 5 tahun dari tahun 2008 sampai dengan 2013 terjadi perubahan penggunaan lahan sebesar 0,1%. Perubahan luas penggunaan lahan terbesar terjadi di Kecamatan Grabag dengan persentase 0,71%, sedangkan Kecamatan Ngobol, Bener, Gebang, dan Loano bisa dikatakan tidak mengalami perubahan penggunaan lahan.
    [Show full text]
  • (Tatv) Branding
    OPEN ACCESS International Journal of Applied Research in Social Sciences Vol. 1(4), pp. 95-110, July, 2019 Fair East Publishers Journal Homepage: www.fepbl.com/index.php/ijarss COMMUNICATION PLANNING AND POLICY: COMMUNICATION PLANNING PT. ABADI LIGHT TELEVISION (TATV) BRANDING Ibrahim T.I. Ukka1 1School of Journalism and information Communication, Huazhong University of Science and Technology, Wuhan, China. ___________________________________________________________________________________ *Corresponding Author: Ibrahim T.I. Ukka Corresponding Author Email: [email protected] Article Received: 09-06-19 Accepted: 15-07-19 Published: 05-08-19 Licensing Details: Author retains the right of this article. The article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licences/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the Journal open access page. ____________________________________________________________________________________ ABSTRACT The presence of PT. Eternal Light Television (TATV) as local television in Surakarta and surrounding there initially, viewed pessimistically by the surrounding community. This is very reasonable considering that no television has been established in Surakarta. On April 29, 2004, TATV began broadcasting on air, and was called "Jelang Tayang Perdana". At the start of launching on air or the trial broadcast by TATV it still seemed to be less professional. There are no programs that can be presented such as national television, only limited to advertisements in the form of slides. The screenings are still very simple and not very interesting. In addition to image quality, it may be due to the lack of human resource management.
    [Show full text]
  • Untuk Kuningan Yang Lebih Baik
    Hak cipta © pada penulis dan dilindungi Undang-Undang Hak penerbitan pada PPPI Kuningan Press Dilarang mengutip sebagian ataupun seluruh buku ini dalam bentuk apapun tanpa Izin dari Penulis dan Penerbit. Bunga Rampai : Untuk Kuningan yang Lebih Baik Penulis : Pejabat Fungsional Perencana Kabupaten Kuningan Drs. H. Eka Komara, M.Pd Ir. Haeruman Iwan Mulyawan, S.Si., M.Sc Esih Kurniasih, SE Mari’a Fitri Pratama Lia Oktavianti, SH Desainer : Doni Muhammad Sirajuddini Abstract Editor : H. Jajang Setiadi, S.Sos., MPA Cetakan I : Desember 2019 SEPATAH KATA Puji syukur Kami panjatkan kepada Illahi Rabbi karena atas Rahmat dan InayahNya-lah buku bunga rampai ini dapat diselesaikan. Tujuan dari penyusunan buku ini adalah dalam rangka pemenuhan angka kredit dalam pengembangan profesi perencana serta dalam upaya untuk melatih para perencana ahli dalam membuat karya ilmiah dengan lokus kajiannya berada di Kabupaten Kuningan. Bunga rampai dengan tema “Untuk Kuningan yang Lebih Baik” merupakan kumpulan Karya Tulis Ilmiah (KTI) dengan pendekatan dari beberapa aspek/ sudut pandang keilmuan yang dimiliki oleh perencana ahli Kabupaten Kuningan. Semoga buku bunga rampai ini bukan hanya menjadi dokumentasi tertulis para perencana, tetapi dapat menjadi pemicu bagi tulisan-tulisan ilmiah bagi para pejabat fungsional perencana dan pejabat administrasi perencana sebagai bagian dari proses peningkatan keilmuan secara terus menerus. Seperti pepatah “Tak Ada Gading yang Tak Retak”, segala sesuatu tidak ada yang sempurna, begitu pula dengan buku ini masih jauh dari sempurna. Dengan kerendahan hati, komentar, kritik dan saran demi perbaikan akan diterima dengan senang hati dan diucapkan terima kasih. Kuningan, Desember 2019 Tim Penyusun v DAFTAR ISI Sepatah Kata ........................................................................................................... v Daftar Isi .................................................................................................................
    [Show full text]
  • Bab Itu Revitalisasi Kelembagaan Yang Fokus Pada KB Perlu D
    REVITALISASI KELEMBAGAAN PROGRAM KB SEBAGAI UPAYA PENGENDALIAN LAJU PERTUMBUHAN PENDUDUK INSTITUTIONAL REVITALISATION OF FAMILIY PLANNING PROGRAM AN EFFORT TO CONTROL THE POPULATION GROWTH RATE S. Budi Prasetyo dan Arif Sofianto Badan Penelitian dan Pengembangan Provinsi Jawa Tengah email: [email protected] ABSTRACT One of the main critical issues in a decentralized development today is the failure of family planning programs that are affected by its institutional forms. This study aims to develop a formula institutional revitalization of family planning program managers are required at this time. The method used in this research is descriptive qualitative models using Spradley’s analytical techniques. This research was conducted in Pekalongan Municipal, Wonosobo Regency, and Purworejo Regency. The conclusion of this study is that the deterioration of family planning programs in the area due to lack of commitment from local leaders, organizations do not focus in carrying out its functions, especially the field staff (field officers), lack of resources and synergies in the implementation of the program. Chief policy areas are very influential in determining the shape of the organization, resource allocation and implementation of synergies. Institutional revitalization needs to be done by the local government is established agencies that focus on population and family planning affairs so that the implementation in the field (field officers) are more focused on family planning matters, but on the other hand still have to pay attention to the ability of the region and some other matters. In addition to the organization in the form of focus, also need to be supported adequacy of resource allocation and increased synergy among sectors fostered by regional heads.
    [Show full text]
  • Infected Areas As Oa 17 April 1986 — Zones Infectées Au 17 Avril 1986
    WX/i bpidem HiX No, lo - lô Aprü J^fiC - 123 - Reieveepule ni fieod Nw lt> - IS avnl iys6 Infected Areas as oa 17 April 1986 — Zones infectées au 17 avril 1986 For criteria used in compiling this Usu see No 2, page 10 - Les critères appliques pour la compilation de celle liste sont publies dans le Nü 2, page 10. X Newly reported areas - Nouvelles zones signalées. PLAGUE - PESTE lluancabamba Province RUANDA Aceh Tenggara Regency Aceh Timur Regency Africa — Afrique C de la Froment Disinct Gtsenyi Region Hiuncabamba Disinct Aceh Utara (P) Regency MADAGASCAR SENEGAL - SÉNÉGAL Banda Aceh Municipality Piura Province Cap-lert Region Antananarivo Province Las Lomas Disinct Pidie Regency Antsirabe U S Pré/ Dakar Jaw a Barat Province Manandona District Asia - Asie Fleuve Region Cirebon Regency Vtnaninkarena District v ie t n a m Dagana Depanement Purwakarta Regency Soavinandrtana S Préf Gia-Lai-Cong Turn Province Stne-Saioum Region Serang Regency Ambaioasana Centre Lim Dông Province Fauck Depanement Sumedang Regency Fianaranisoa Province Phu Kiunh Province Kaoluck Département Jawa Tengah Province imbatujinandrahana S. Préf Thies Region Banjamegara Regency Arobatomifasoniira Disinct Thies Depanement Banyumas Regency Soawna District SIERRA LEONE Brebes Regency Ambohimahasoa S Préf CHOLERA - CHOLERA North West Area Cilacap Regency Manandroy District Africa - .Afrique Kambm Distnct Demak Regency Ambosilra S, Pré) BENIN - BÉNIN Pon Loko Distnct Jeparu Regency Ambaiomamu Disinct Tonkohli District PekaJongan Regency Ambohimahazo Disinct Allantique Prounce
    [Show full text]