3,514 research outputs found
Pola perkembangan morfologi fisik kota di cekungan bandung periode 2009 – 2018
No full textLand development will be occur from time to time, the developments phenomenon will have either positive or negative impact. The impact of this phenomenon will affect various aspects, such as socioeconomic, mobility, land quality, and more. So the study on land development is required to evaluate and anticipate the negative impact on some region. To do evaluating and anticipating unwanted impacts a study can be carried out to become the basis for regional development or regional planning. one of them is to examine the pattern of urban development that will be used as a reference for regional development planning that will occur in the future. This study aims to analyze the development of urban physical morphology in Bandung Basin period 2009 - 2018. The method in this research is quantitative descriptive in the form of data collecting, data processing, modelling, and mapping. The research method is quantitative and qualitative in the form of data collection, data processing, modeling and mapping. The method of applying quadrant and burgess models to find the value of built-up land density that can reflect information on the phenomenon of built-up area development seen from the built-up area density in each agreed zone with geometric and quadrant models. The results in this research shows that the morphological structure of developed land in Bandung Basin is concentric with the highest density of 0.3459 km² which is centered in Cimahi and Bandung, also development is elongated and along the road with the majority of the land development create a leapfrog pattern, so it can be concluded that urban morphology in Bandung Basin is concentric with the linear development which is leapfrog
Aplikasi object-based image analysis untuk identifikasi awal permukiman kumuh menggunakan Citra satelit worldview-2
No full textPermukiman kumuh adalah perumahan yang mengalami penurunan kualitas fungsi sebagai tempat hunian. Tidak layak huni karena ketidakteraturan bangunan, tingkat kepadatan bangunan yang tinggi, dan kualitas bangunan serta sarana dan prasarana yang tidak memenuhi syarat, (UU No.1 Tahun 2011). Permukiman kumuh banyak ditemukan di kota-kota besar termasuk di sebagian Kota Yogyakarta, karena tidak layak dari sisi keaman, kesehatan dan tidak sesuai dengan tata ruang kota, maka perlu penanganan kawasan permukiman kumuh ini. Sebagai upaya penanganan kawasan kumuh, dibutuhkan pemantauan kawasan permukiman kumuh secara berkelanjutan, sehingga perlu suatu identifikasi cepat untuk membantu pemetaan kawasan kumuh. Penelitian ini bertujuan untuk identifikasi awal permukiman kumuh menggunakan pendekatan Object Base Image Analysis (OBIA) serta menguji kemampuan interpretasi OBIA dalam melakukan pengenalan permukiman kumuh berdasarkan ciri fisik permukiman. Data yang digunakan berupa Citra Satelit Worldview-2 tahun perekaman 2016, data kawasan kumuh Kota Yogyakarta dari program KOTAKU Yogyakarta, dan data survey lapangan. Alat yang digunakan berupa GPS, computer yang dilengkapi dengan software Ecognition, ENVI dan ArcGIS.10.2. Langkah pertama yang dilakukan sebelum menjalankan proses OBIA adalah mengenali karakteristik permukiman kumuh baik dari studi literatur, perundang-undangan maupun pengamatan lapangan. Berdasarkan studi sebelumnya dapat disusun aturan/kunci interpretasi untuk mendeteksi permukiman kumuh. Hasil identifikasi awal permukiman kumuh menggunakan OBIA dapat dilakukan berdasarkan analisis pola permukiman, kondisi jalan, tekstur, vegetasi dan jarak dengan sungai. Identifikasi permukiman kumuh di wilayah pinggiran sungai berdasarkan kondisi fisik permukiman menggunakan citra Wordview-2 mengasilkan ketelitian sebesar 82,14%. Ketelitian ini dapat dikatakan baik sehingga kedepannya diharapkan dapat membantu identifikasi awal dalam rangka pemetaan permukiman kumuh terutama di wilayah pinggiran sungai
ABSTRACT
Slums are housing that have decreased the quality of function as dwellings. Uninhabitable due to building irregularities, high levels of building density, and the quality of buildings and facilities and infrastructure that do not meet the requirements, (Act No.1 of 2011). Slum settlements are found in large cities including in parts of Yogyakarta City, because they are not feasible in terms of security, health and are not in accordance with the urban spatial structure, it is necessary to deal with these slums. As an effort to deal with slum areas, it is necessary to monitor slum areas in a sustainable manner, so that a quick identification is needed to assist in mapping the slums. This study aims to initial identification of slums using the Object Base Image Analysis (OBIA) approach and to test the ability of OBIA's interpretation of the introduction of slums based on physical characteristics of settlements. The data used are recording Worldview-2 years Satellite Image 2016, data from Yogyakarta City slum area from Yogyakarta KOTAKU program, and field survey data. The tools used in the form of GPS, computers equipped with Ecognition, ENVI and ArcGIS software.10.2. The first step taken before carrying out the OBIA process is to recognize the characteristics of slums both from literature studies, legislation and field observations. Based on previous studies, rules / key interpretations can be prepared to detect slums. The results of the initial identification of slums using OBIA can be done based on the analysis of settlement patterns, road conditions, texture, vegetation and distance to the river. Identification of slums in the riverside area based on the physical conditions of settlements using Wordview-2 imagery resulted in accuracy of 82.14%. This accuracy can be said to be good so that in the future it is expected to be able to help initial identification in the framework of mapping slum settlements, especially in the riverside area
Perancangan Sistem Informasi Inventaris Barang Berbasis Web Secara Online Pada Universitas Prima Indonesia
No full textThe importance of inventory management for business success and how technology can help improve inventory management. The design of an online web-based inventory information system at Prima Indonesia University is discussed in this article. The research aims to improve inventory management business profitability at Prima Indonesia University. One of the approaches used to collect data for this project is the waterfall system development process, which also includes interviews, observations, documentation, and literature studies. Blackbox testing is a technique used to test the system in publication. Functional testing verifies that the system can operate according to the functional requirements established during the analysis and design stages. Testing the system's ability to meet non-functional criteria, such as security, speed, and performance, is known as non-functional testing. After testing, the author makes improvements and fixes to the system found during testing. The support and maintenance stages are carried out regularly to ensure the system runs well and meets user needs. The results showed that the web-based online inventory system developed for Prima Indonesia University using the waterfall model can help improve inventory management and business profitability. The system can reduce errors in inventory management and speed up the process of searching and retrieving inventory data. System testing shows that the system can function properly and meet the requirements at the analysis and design stages
PEMODELAN SPASIAL EPIDEMIOLOGI DEMAM BERDARAH DENGUE MENGGUNAKAN SISTEM INFORMASI GEOGRAFI DI KECAMATAN DEPOK KABUPATEN SLEMAN YOGYAKARTA
No full textThe objective of this research is for developing a prototype of Dengue Haemorrhagic Fever Epidemiologic Spatial Modeling to define the irritable area rates for that disease. The research is conducted at Depok, Sleman, Yogyakarta. The model’s made by GIS with overlaying 8 parameters: population density, the cleaning activity frequency of water vessel, waste management pattern, frequency of fogging, drainage condition, settlement pattern, distance settlement from river, and survillance. Each parameter’s analyzed by cross tabs analyze to see its correlation with the actual case. The result from this analyze is used to give weighting factors for those parameters. The research finding show that 8 parameters have partial correlation with actual case of dengue fever. The result model is tested again with the actual dengue fever case. As we can see from crosstab test ,the value of C (coefficient contingency) = 0,558. So the research gives a meaningful test, and we can take conclusion that there’s a real correlation between dengue fever irritable model and actual dengue fever case.</jats:p
PENYUSUNAN BASIS DATA SPASIAL SUMBERDAYA AIR MELALUI PARTISIPASI MASYARAKAT (Studi Kasus di Desa Kepuharjo Kecamatan Cangkringan Kabupaten Sleman Provinsi Daerah Istimewa Yogyakarta)
No full textPENYUSUNAN BASIS DATA SPASIAL SUMBERDAYA AIR MELALUI PARTISIPASI MASYARAKAT (Studi Kasus di Desa Kepuharjo Kecamatan Cangkringan Kabupaten Sleman Provinsi Daerah Istimewa Yogyakarta)
No full textPemanfaatan Citra Worldview-2 Untuk Analisis Kepadatan Penduduk dan Proyeksi Kebutuhan Permukiman Di Kota Magelang Tahun 2012 - 2022
No full textPertambahan penduduk di suatu wifayah pada umumnya akan berdampak pada bertambahnya kebutuhan akan lahan permukiman, begitu pula yang terjadi di Kola Magelang selama kurun tahun 2010 sampai 2015 mengalami pertambahan penduduk sebesar 5.818 jiwa. Tujuan penelitian ini: (1) mengkaji tingkat kepadatan penduduk dan persebarannya di Kota 'Magelang menggunakan Citra Worldview-2;(2) mengkaji proyeksi penduduk dan kebutuhan lahan permukiman tahun 2012- 2022 di Kota Magelang. Citra Satelit Worldview-2
digunakan untuk mendapatkan data penggunaan lahan, blok permukiman dan jumlah bangunan.
Data penggunaan lahan dan jumlah bangunan diperoleh dengan cara interpretasi visual.
Data jumlah penduduk tahun 2003- 2015 diperoleh dari BPS Kota Magelang digunakan untuk menghitung kepadatan penduduk, menghitung proyeksi penduduk dan mencari persamaan regresi antara jumlah bangunan dan jumlah penduduk. Metode Geometrik digunakan untuk menghitung proyeksi penduduk dari tahun 2012 hingga tahun 2022. Persamaan regresi antara umlah penduduk dan jumlah permukiman digunakan untuk menghitung proyeksi luas lahan permukiman. Hasil penelitian menunjukkan bahwa Citra Worldview-2 dapat digunakan untuk memetakan pola permukiman dan kepadatannya. Hasil analisis kepadatan
permukiman dari citra menunjukkan hubungan positif dengan kepadatan penduduk hasil perhitungan data s:atistik. Pola spasial kepadatan penduduk di Kota Magelang
bersifat mengalompok/clustering. Proyeksi jumlah penduduk ;allun 2022 sebesar 255.305 jiwa, sedangkan jumlah penduduk tahun 2012 sebesar 119.356 jiwa,
sehingga terjadi kenaikan umlah penduduk selama kurun waktu 10 tahun sebesar±135.949 jiwa. Proyeksi luas lahan permukiman tahun 2022 sebesar 1.911 ha, sedangkan luas lahan permukiman tahun 2012 sebesar 898 ha, sehingga terjadi kenaikan kebutuhan lahan oennukiman dalam waktu 10 tahun kedepan sebesar 1.013 ha.
l(ata kunci : Citra Worldview-2, kepadatan penduduk, proyeksi penduduk dan lahan permukiman
The Singer or the Song? Developments in Performers' Rights from the Perspective of a Cultural Economist
No full textOver the last century, performers gradually acquired statutory protection of their economic and moral
rights. These rights are not copyright in the legal sense but neighboring rights and until recently, they
were mainly remuneration rights that are collectively administered. With the WPPT (WIPO
Performers and Phonograms Treaty), performers now have individual exclusive rights for digital
performances; this leads to the question: what has motivated this change – is it a change in the
perception of the value of performer or a change brought about by the changing technology of copying or,
indeed, a change that reflects different economic costs and benefits? The paper discusses the role of
copyright law as an incentive to performers and asks if the economic role of the performer is so different
from that of the author. The conclusion is that a complex interaction of the legal regulations, economic
conditions and institutional arrangements for administering these new rights will determine the outcome
PENGGUNAAN SPATIAL MULTICRITERIA ANALYSIS UNTUK MENENTUKAN DAERAH RAWAN MALARIA DI KABUPATEN PURWOREJO (Application of Spatial Multicriteria Analysis Determining Malaria Vulnarable Area in Purworejo Regerency)
Full text linkAbstrak
Malaria merupakan salah satu penyakit menular endemis yang masih menjadi perhatian khusus pada kesehatan masyarakat di Indonesia, salah satunya di Kabupaten Purworejo. Tahun 2013, terdapat 615 kasus kejadian penyakit malaria pada semua rentang umur di kabupaten ini. Penanganan penyakit ini dilakukan dengan beberapa cara, contohnya adalah dengan surveilans malaria. Kegiatan surveilans bermaksud untuk melaksanakan tindakan penanggulangan yang cepat dan akurat disesuaikan dengan kondisi setempat. Salah satu tujuan kegiatan ini untuk mendapatkan gambaran distribusi penyakit malaria yang dapat dilakukan dengan pembuatan peta kerawanan penyakit malaria. Tujuan dari penelitian ini adalah menentukan kerawanan wilayah terhadap penyakit malaria dengan metode Spatial Multicriteria Analysis (SMCA). Penelitian ini memanfaatkan data Citra Landsat 8 dan beberapa data sekunder yang diolah dengan menggunakan software ILWIS. Hasil dari penelitian ini menunjukan bahwa metode SMCA dapat memetakan kerawanan penyakit malaria dan terdapat enam kecamatan di Kabupaten Purworejo yang rawan, yaitu Kecamatan – kecamatan Bruno, Bener, Gebang, Loano, Kaligesing, dan Bagelen.
Abstract
Malaria is one of endemic infectious disease that has been special concern in Indonesian public health, especially in Purworejo Regency. In 2013, there were 615 incident cases of malaria disease in all age ranges. There are several kinds of handling malaria disease, one of which is malaria surveillances. Surveillances activity intends to implement handling fast and accurate actions. One of this activity aims to obtain overview distribution of malaria disease which can be done with vulnerable mapping. This study aims to determine vulnerability of area with malaria disease using Spatial Multicriteria Analysis (SMCA). It has been done by utilizing Landsat 8 Imagery data and some of secondary data processing with ILWIS software. The result of this study showed that SMCA methods can be used to vulnerability mapping of malaria disease and found that there are six vulnerable districts, Bruno, Bener, Gebang, Loano, Kaligesing, and Bagelen District
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