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Ditemukan 34 dokumen yang sesuai dengan query
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Doran, Bruce J.
"This book reports on research conducted over the past eight years, in which efforts have been made to pioneer the combination of techniques from behavioural geography with Geographic Information Systems (GIS) in order to map the fear of crime.
The first part of the book outlines the history of research into fear of crime, with an emphasis on the many approaches that have been used to investigate the problem and the need for a spatially-explicit approach. The second part provides a technical break down of the GIS-based techniques used to map fear of crime and summarises key findings from two separate study sites. Issues discussed include fear of crime in relation to housing prices and disorder, the use of fear mapping as a means with which to monitor the impact of Closed Circuit Television (CCTV) and fear mapping in transit environments.
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New York: Springer, 2012
e20400688
eBooks  Universitas Indonesia Library
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Eddy Prahasta
Bandung: Informatika, 2003
910.285 EDD s
Buku Teks SO  Universitas Indonesia Library
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Andrew J. Milson
"This book brings together authors from 34 countries who profile the current status of GIS in secondary school teaching and learning in their country. Each chapter includes a summary of the country?s educational context, a case study illustrating how GIS is used in secondary schooling, and an assessment of the opportunities and challenges in teaching and learning with GIS now and in the future. The book demonstrates that GIS is not only a technological tool to be used in the classroom, but also a catalyst for motivation, encouragement, and cooperation in understanding and solving global problems. The most up to date and extensive survey of GIS in the secondary education landscape, covering both principles and practice."
Dordrecht, Netherlands: Springer, 2012
e20400317
eBooks  Universitas Indonesia Library
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Masrizal
"ABSTRAK
West Pasaman District and Agam District are filariasis endemic areas in West Sumatra with prevalence of 12.40 per 100,000 cases and 11.27 per 100,000 cases respectively. This study aimed to determine risk factors associated with the prevalence of filariasis and mapping the vulnerability of the area in West Sumatra. A case control study design was conducted in the West Pasaman District and Agam District. The study used a sample of 74 cases and 74 controls taken by simple random sampling for the case and purposive random sampling for control. Data analysis used univariate, bivariate, multivariate and spatial. The results in Agam District showed that variables associated relation with filariasis (p value < 0.05) were the level of knowledge, plantations, the paddy, the ceiling of the house. The most dominant risk factor was knowledge. Type of vector that was found was Culex. While in West Pasaman District, the variable associated with filariasis (p value < 0.05) was the use of mosquito nets, the habit of dressing, marshes, and ceiling. The most dominant risk factor was the ceiling of the house."
Depok: Universitas Indonesia, 2017
613 KESMAS 12:2 (2018)
Artikel Jurnal  Universitas Indonesia Library
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Masrizal
"ABSTRAK
West Pasaman District and Agam District are filariasis endemic areas in West Sumatra with prevalence of 12.40 per 100,000 cases and 11.27 per 100,000 cases respectively. This study aimed to determine risk factors associated with the prevalence of filariasis and mapping the vulnerability of the area in West Sumatra. A case control study design was conducted in the West Pasaman District and Agam District. The study used a sample of 74 cases and 74 controls taken by simple random sampling for the case and purposive random sampling for control. Data analysis used univariate, bivariate, multivariate and spatial. The results in Agam District showed that variables associated relation with filariasis (p value < 0.05) were the level of knowledge, plantations, the paddy, the ceiling of the house. The most dominant risk factor was knowledge. Type of vector that was found was Culex. While in West Pasaman District, the variable associated with filariasis (p value < 0.05) was the use of mosquito nets, the habit of dressing, marshes, and ceiling. The most dominant risk factor was the ceiling of the house."
Depok: Universitas Indonesia, 2017
613 KESMAS 12:2 (2018)
Artikel Jurnal  Universitas Indonesia Library
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Muhammad Hafiz Wahfiuddin
"Perkembangan kota-kota besar di Indonesia terus berlangsung dalam sepuluh tahun terakhir. Salah satunya adalah Kota Palembang. Dengan banyaknya ajang olahraga internasional turut membantu percepatan pembangunan disana. Pembangunan yang gencar ikut merubah tutupan lahan yang juga berdampak pada perubahan iklim, yaitu kenaikan suhu permukaan daratan. Maka pola perubahan suhu permukaan daratan yang dipengaruhi oleh tutupan lahan menjadi topik yang diteliti. Data yang digunakan adalah Citra Landsat 7 ETM+ di tahun 2001 dan 2014. Indeks vegetasi NDVI dan Indeks bangunan NDBI digunakan untuk melihat kerapatan vegetasi dan bangunan dari citra satelit. Hasil yang didapat adalah pola perubahan tutupan lahan yang menjalar linear dari tenggara menuju barat laut juga membuat suhu permukaan daratan lebih tinggi di tahun 2014 dibandingkan tahun 2001. Hasil ini didukung oleh uji statistik yang juga menunjukkan bahwa semakin tinggi kerapatan bangunan, semakin tinggi pula suhu permukaan daratannya. Dan semakin tinggi kerapatan vegetasi, maka semakin rendah suhu permukaan daratannya.

The growth cities in Indonesia keep going in past ten years. Palembang is the one of most developed city in Indonesia. That developing plan are helped by every international sport event that held in Palembang. The construction for maintaining city itself often change land cover in Palembang. That Landover change also have direct impact to urban climate in Palembang. Land surface temperature in this city describe how climate change impact by land cover change in past ten years in Palembang. The methods are using satellite imagery from Landsat 7 ETM+ in July 13th, 2001 and August 2nd, 2014. For describing land cover, this paper use NDVI and NDBI indices to represent the density of vegetation and building in Palembang. The result are spatial pattern about land cover are spread from South East to North West in Palembang. That land cover changes also rise the land surface temperature in same direction. So that, land surface temperature in 2014 are heater than 2001. This result also tested in statistically. Therefore, when land surface temperature rise, the building density are descend. Beside when land surface temperature descend, the vegetation density are rise up.
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Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2015
S60287
UI - Skripsi Membership  Universitas Indonesia Library
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Jeffri
Depok: Fakultas Teknik Universitas Indonesia, 1992
S38249
UI - Skripsi Membership  Universitas Indonesia Library
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Haniasti Titis Tresnandrarti
"ABSTRAK
Hutan merupakan sumberdaya alam dan lingkungan yang mempunyai peranan strategis bagi bangsa Indonesia, terutama sebagai pelindung ekosistem flora, fauna dan plasma nutfah. Kepentingan masyarakat terhadap hutan sebagai sumberdaya alam, tidak hanya memberikan ruang atau lahan usaha tani, tetapi juga bermanfaat dalam memberi kesempatan kerja.
Berbagai alternatif bentuk pengelolaan hutan terus dikembangkan, salah satunya adalah dengan pengembangan model untuk mendapatkan hasil yang optimal. Pembangunan hutan kemasyarakatan (HKm) untuk selanjutnya disebut dengan HKm, merupakan salah satu alternatif model pengelolaan hutan tanaman yang dikelola bersama antara pemerintah dengan masyarakat sekitar hutan.
Banyak uji coba dilakukan pada model HKm, salah satunya adalah uji coba dengan menggunakan program tujuan berganda dengan menitik-beratkan pada variabel sosial ekonomi terutama nilai finansial komoditi. Pada umumnya model yang dikembangkan tersebut kurang berhasil, karena kurang mempertimbangkan kondisi fisik lahan sebagai faktor penentu disamping faktor sosial ekonomi.
Studi ini mencoba mengembangkan model HKm optimal. Metode yang digunakan untuk pengembangan model lahan HKm optimal adalah metode survei dengan pendekatan komplek wilayah dalam ilmu geografi. Variabel yang digunakan adalah variabel fisik dan sosek, dan keduanya diperhitungkan sebagai faktor yang memberikan kontribusi sama.
Pengembangan model lahan HKm optimal memberikan masukan berupa tingkat kesesuaian lahan terhadap tujuh komoditi dan penyebarannya, serta distribusi spasial lahan HKm optimal dinilai dari faktor fisik maupun sosial ekonomi. Tingkat kesesuaian lahan dalam penelitian ini menghasilkan dua kriteria terhadap tujuh komoditi yang disesuaikan dengan keinginan masyarakat, yaitu: (a) tingkat kesesuaian lahan fisik. (b) tingkat kesesuaian lahan sosial ekonomi. Sedangkan distribusi spasial sebaran lahan HKm optimal, diperoleh tiga kriteria menurut gradasi dari tingkat yang tertinggi sampai terendah tingkat keberhasilannya, yaitu : (a) sebaran lahan optimal I . (b) sebaran lahan optimal II, (c) sebaran lahan optimal III.
Kekuatan dari pengembangan model lahan HKm optimal adalah diperhitungkannya kondisi fisik lahan sebagai faktor yang mendukung model hutan kemasyarakatan, dengan diketahuinya sebaran lahan optimal I sampai optimal III dapat memberi informasi keberhasilan dan perlindungan terhadap kelestarian hutan dan kesejahteraan masyarakat.

ABSTRACT
Optimum Community Forestry (HKm) Land Modeling Development (Case Study in Labanan Forest Area, Berau District, East Kalimantan Province)Forest has been considered as a natural resources which has strategic role for Indonesian's people, mainly for protecting land and all people, animals and trees who depend on it. Forest as a natural resources not only give space for agriculture sectors, but it can give job opportunities for other sectors.
Various alternatives in managing the forest have been developed continuously. Develop in forest modeling has aim to get the optimum yield. Social forestry (later called by Hkm) is an alternative model in managing forest plantation. This model involves government and people around the forest.
Several efforts have been done in applying HKm model. One of the model used multi purpose program focusing on financial value of the commodities. Generally, such a model doesn't work successfully. This model was neglecting physical land condition as a critical factor as well as socio economic factor.
This research tried to develop the optimum Hkm land modeling. The research methods were done using survey with considering landscape approach of geographical science. Physical and socio economic variable had been counted can give equal contribution.
The optimum Hkm land modeling give information on land suitability level for seven commodities and their distribution spatially. There are two criteria for those 7 commodities according to local people perception; those are physical land suitability and socio economic land suitability. The optimum Hkm land spatial distributions have three classes, those are: a). First optimum land distribution, b). Second optimum land distribution, c). Third optimum land distribution.
Considering physical factors as a variable in developing Hkm land modeling are the strength point of the optimum Hkm land modeling. The spatial distribution of the optimum Hkm land give information on the success and failure of land utility in order to achieve people prosperity and ensure the forest sustainability.

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2000
T-Pdf
UI - Tesis Membership  Universitas Indonesia Library
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Wiwin Hernita
"Salah satu upaya pencegahan dan pemberantasan penyakit Demam Berdarah Dengue, antara lain adalah membuat surveilans penyakit tersebut. Manfaat surveilans diantaranya adalah untuk membentuk sistem Kewaspadaan Dini terhadap letusan kasus maupun KLB (Kejadian Luar Biasa), disamping itu jugs mangatahui pola penyebaran. Penelitian terdahulu oleh peneliti lain (tahun 1998 dan 1995) di wilayah Kotamadya Bandung dan l:ndramayu, disebutkan bahwa data surveilans masih belum menghasilkan informasi secara geografis strata wilayah rawan DBD. Oleh karena itu dalam studi ini peneliti mengembangkan model untuk mendapatkan informasi wilayah rawan terhadap penyebaran DBD berdasarkan pengolahan data surveilans ke dalam bentuk Sistem Informasi Geografis.
Penelitian ini menggunakan metode operational research untuk mengembangkan model prediksi penyebaran kasus Dengue berdasarkan data surveilans kasus Demam Berdarah Dengue yang sudah dikonfirmasi. Surveilans kasus pasti tersebut dihubungkan dengan variabel : ketinggian, Jalan utama, jentik dan penduduk, dibuat model menggunakan perangkat lunak ArcView setelah diperoleh formulasi hubungan antar variabel. Model dapat menghasi Ikan informasi tingkat kerawanan suatu wilayah terhadap penyebaran DBD.
Pembuatan model atau disain model meliputi beberapa tahap mulai dari penelitian awal, menentukan pola hubungan kemudian memperoleh hubungan numerik model. Uji cobs model dilakukan dengan 2 cara membandingkan basil keluaran model dengan kasus yang terjadi pada bulan berikutnya dan Membandingkan basil model dengan data wilayah rawan menurut DinKes. Berdasarkan hasil ini dapat dianalisa tingkat kebenaran model yang dibuat.
Hasil penelitian mendapatkan output model yaitu wilayahlKecamatan rawan di Kabupaten Bandung yang meliputi : 22 (duapulub dua) Wilayah Kecamatan sangat rawan, 17 (tujuh betas) Wilayah Kecamatan rawan dan 4 (empat) Wilayah Kecamatan tidak rawan. Analisis pengamatan urutan kronologi kasus memperlihatkan pola penyebaran kasus menuju ke arah Utara dan ke Timur dari kecamatan terjangkit sebelumnya.
Hasil prediksi Kecamatan terjangkit pada bulan ke-5, semua terjadi pada wilayah rawan dan sangat rawan. Uji dengan cara ke-2 memberikan perbedaan 11% dari 43 Kecamatan yang ada. Diharapkan model ini dapat membantu Dims Kesehatan Kabupaten Bandung dalam mengendalikan penyebaran penyakit DBD.

Build Dengue Hemorrhagic surveillance is one of the efforts to prevent and control the disease. The benefit of surveillance is to build early warning system of case outbreak. Another benefit is to find out the spreading pattern. The recent research (year 1995 - 1998) in Indramayu and Bandung municipality found that there obstacle to take advantage stratification risk area information from analysis surveillance. Due to this reason, in this research, we try to develop application of Geographic Information System (GIS) model to present surveillance information.
This research designed is operational research, develops model to predict the Dengue spreading by using the data of Dengue surveillance. Model was built by using AreView software. 4 (four) variables, i.e.: Main road, height, population density and larva, have been examined to determine the spatial relationship between case occurrence and those variables. From the model we find out the information about the risk level of Dengue spreading.
Model building consists of 3 (three) main steps, i.e. preliminary research, determining the relationship pattern, and figure out the numeric relationship of model. Model validation was done by two way, first making the comparison between the model output and the Dengue data from the next period, second comparison between the model output and risk area according to Dinkes data. From these validation could conclude the truth of the model.
From the result we conclude that there are 22 (twenty two) districts are high-risk area, 17 (seventeen) districts are medium-risk area, and 4 (four) districts are not-risk area. From the examination of subsequence cases, we have the conclusion that the Dengue spreading is northward and eastward.
All of cases in period 5 occur in the risk and high risk area predicted. And from second validation found 11% differentiation with DinKes data Hope this model will help Dinas Kesehatan Kabupaten Bandung to control the spreading of Dengue.
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Depok: Fakultas Kesehatan Masyarakat Universitas Indonesia, 2003
T12674
UI - Tesis Membership  Universitas Indonesia Library
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Bangun Muljo Sukojo
"Sejalan dengan pembangunan yang sedang dan sudah dilakukan di seluruh wilayah pantai Indonesia maka kerusakan pantai dari hari ke hari semakin terasa akibatnya. Penurunan kualitas lingkungan atau ekosistem makin terasa dan juga berdampak baik secara langsung ataupun tidak langsung terhadap segi-segi kehidupan ekonomi, sosial dan budaya. Berdasarkan hal tersebut maka diperlukan data atau informasi yang dapat melihat secara tepat sejauh mana tingkat penurunan kualitas tersebut dan bagaimana penanganan selanjutnya. Salah satu cara yang dapat digunakan adalah teknologi yang berbasiskan komputer yang dikenal sebagai Sistem Informasi Geografis. Teknologi ini dapat melakukan pekerjaan pengumpulan, penyimpanan, pengolahan dan penyajian data atau informasi yang diperoleh secara langsung maupun tidak langsung dari lapangan. Data yang diperoleh dapat dikatakan aseptable dengan validitas tinggi sehingga sebelum diakuisasi dapat dilakukan analisis ekologi dan teknologi penginderaan jauh terlebih dahulu.

Application of Remote Sensing and Ecology Analysis Method for Geographic Information System of Coastal Ecosystem. With the development that have been done on all Indonesian coastal area, the damaged can be suffered from day to day. The decrease of environmental or ecosystem quality occurred and effected the economic, social and cultural life directly or indirectly. Based on that condition, data or information is needed to look accurately the decrement level and the way to handle it. One method that can be used is a computer based technology which commonly called Geographic Information System (GIS). The technology can gathering, recording, processing and displaying data or information which is obtained directly or indirectly from the field. As the data to be said acceptable with high validity, then before it is being acknowledged, then an ecology analysis and remote sensing technology can be done first."
Depok: Lembaga Penelitian Universitas Indonesia, 2003
AJ-Pdf
Artikel Jurnal  Universitas Indonesia Library
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