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Abstrak :
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.

Abstrak :
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.

Abstrak :
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.

Abstrak :
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.

Abstrak :
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.

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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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Abstrak :
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.

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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.

Abstrak :
Ketidakmerataan pembangunan kesehatan tennasuk didalamnya pemerataan tenaga kesehatan dan sarana pelayanan kesehatan sudah menjadi masalah yang menahun di Kabupaten Tasikmalaya. Pengangkatan tenaga dan pembangunan sarana sejatinya harus melalui perencanaan yang matang dengan memperbatikan faktor kependudukan. wilayah dan tenaga serta fasilitas kesehatan milik pemerintah maupun swasta. Keadaan ini menjadikan masyarakat kurang akses terhadap tenaga dan fasilitas kesehatan. Untuk mendapatkan pelayanan kesehatan tidak sedikir masyarakat menempuhjarak yangjauh dan mengeluarkan uang yang banyak karena diwilayahnya sangat minim akan tenaga dan fasilitas kesehatan. Kebijakan Dinas Kesehatan terhadap pemberian izin sarana. pelayanan kesehatan swasta seperti halnya masalah diatas, tidak dilakukan atas petirnbangan Sistem infonnasi yang ada saat ini belum mampu menyediakan informasi yang akurat, efektif dan efisien dalam mcmberikan data dan infurmasl mengenai perizinan kepada pengambU kebijakan. Untuk itu diper1ukatl pengembangan sistem infonnasi yang disesuaikan dengan kebutuhan informasi perizinan sarana pelayanan kesehatan, dises-uaikan dengan ketersediaan sumber daya manusia dan peralatan pendukung yang dimiliki. Pengembangan sistem informasi dilakukan dengan mengkaji sistem yang ada saat ini kernudian mengidentifikasi permasalahan sistem informasi serta mengk:aji kebutuhan infonnasi dari para pengguna informasi dalam rangka manajemen pemecahan masaiah. Hasil kajian ini menjadi dasar dalam mendisain sistem yang baru. Hasil pengembangan sistem informasi yaitu terbangunnya prototype yang diharapkan menjadi solusi masalahan sistem informasi perizinan sehingga infonnasi yang dihasilkan dapat menjadi dasar pengambilan keputusan untuk mernecahkan masalah kesehatan. Beberapa keunggutan dari prototype yang dihasilkan antara lain adalah kemampuan prototype penghasiikan infonnasi yang dibutuhkan, kemudahan dan kecepatan dalam pengeloiaan dan penyajian data, penyajian infonnasi dalam bentuk tabei dan peta serta penggunaan basis data sehingga menghasilkan analisis yang sangat bennanfaat bagi pengambil kebijakan terutama da!am pengangkatan.

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Uneven distribution of health development including health professionals and health care facilities distribution is one of health issues in Tasikmalaya District. Recruitment of health professional and development of health care facilities ideally have to be done in a good planning by taking demography, geography and professional and the existing government and private health care facilities factors Into account. The consequences is that the public have test access to health professional and facilities. order to obtain health care, they have to take a long distant and spend much money. Tasikmalaya district health office policy on licensing for private health care Current existing information system is unable to provide accurate. effective and efficient information in providing data and information considering licensing to regional autorities and head of health office, Therefor. a development of infonnation system from old system is needed that fitted health care facilities licensing information requirement, and fits the availability of existing human resource and support equipment. Development of information system was conducted by assessing the existing system and then identify lssues in information system and assess information need from information user in management of problem solving. The output is used as a basis in new system design. The purpose of this information system development was to produce a prototype that is hoped to be a solution in licensing infonnation system issue, thus produced information can be used as a basis for decision makers to solve health issues specially in distribution of professional and health care facilities. Advantages from this prototype are its ability in producing required infom1ation, simplicity, and its speed in data processing and presentation, percentation of information in tabel fonn and communicative map and data base utilization so it can be a very useful analysis for policy maker mainly in recruitment and distribution of health professional and as a consideration in giving license to private health facilities founding applicant The author hopes that the utilization of the purposed prototype is followed.

Abstrak :
Airtanah merupakan bagian dari sumberdaya yang penting karena sebagian besar penduduk masih memanfaatkannya untuk memenuhi kebutuhan hidup, namun demikian airtanah dangkal rentan terhadap pencemaran. Tujuan penelitian ini adalah mengetahui wilayah kerentanan airtanah dangkal dan menganalisa pola spasial kerentanan airtanah dangkal terhadap pencemaran dengan model SINTACS dan SINTACS-Lu di Desa Taman Rahayu. Data hidrogeologi yang digunakan yaitu, kedalaman muka airtanah dangkal S, laju pengisisan kembali I, kondisi zona tidak jenuh N, tekstur tanah T, media akuifer A, konduktivitas hidraulik C, kemiringan lereng S dan data penggunaan tanah Lu. Tingkat kerentanan airtanah dihitung dengan menjumlahkan nilai rating setelah dikalikan dengan nilai bobot masing-masing parameter sehingga dihasilkan suatu nilai yang disebut indeks SINTACS. Analisa data dilakukan dengan menggunakan Sistem Informasi Geografis ArcGIS 10.3 dan overlay tiap parameter yang menghasilkan peta tingkat kerentanan airtanah. Kedua model kerentanan di verifikasi dengan mengukur konsentrasi nitrat pada wilayah kerentanan. Dari hasil penelitian didapatkan bahwa wilayah kerentanan airtanah dangkal model SINTACS dan SINTACS-Lu dibagi menjadi tiga wilayah kerentanan yaitu rendah, sedang dan tinggi. Uji tabel silang menunjukkan akurasi sebesar 70 untuk model SINTACS dan 80 untuk model SINTACS-Lu. ...... Groundwater is part of an important resource for the majority people however, shallow groundwater vulnerable to contamination. The aim of this study is to determine areas of vulnerability of shallow groundwater and analyze the spatial pattern of shallow groundwater vulnerability to contamination with SINTACS and SINTACS Lu in Taman Rahayu. Hydrogeological data that is used are the depth of shallow groundwater S, net recharge I, unsaturated zone condition N, soil texture T, aquifer media A, hydraulic conductivity C, slope S and land use Lu. The Groundwater vulnerability level is calculated by summing the rating values after multiplied by the weight value of each parameter to produce value called SINTACS index. Data analysis was performed using Geographic Information Systems ArcGIS 10.3 and from overlay of each parameter that produces vulnerability level maps of groundwater. Both models vulnerability verification by measuring the concentration of nitrate in the areas of vulnerability. The result showed that the areas of vulnerability of shallow groundwater models divided into three classes, low, medium and high vulneranility level. Cross table test showed an accuracy 70 for SINTACS and 80 for SINTACS Lu model.

Abstrak :
Sedimentasi merupakan kejadian yang alami dimuka bumi ini, permasalahan sedimen seringkali terjadi pada sebuah daerah aliran sungai. Dalam Kali Lumajang masalah sedimen sangat mempengaruhi sekali terhadap sistem hidrologi yang ada dihilirnya. Masalah utama dari sedimen adalah berasal dari mana sedimen tersebut ada. Penelitian mengenai wilayah sumber sedimen bertujuan untuk mengkaji seberapa besar kejadian suspended sedimen serta mencari wilayah mana yang menjadi sumber material sedimen didalam DA Kali Lumajang. Analisis grain size, analisis regresi dan analisis overlay dalam sistem informasi geografis sangat diperlukan untuk menjawab wilayah sumber material sedimen. analisis grainsize digunakan untuk mengetahui kandungan material penyusun sedimen dan akan diregresikan dengan debit aliran yang terjadi sehingga akan didapatkan hubungan korelasi antar keduanya. Kemudian analisis overlay digunakan untuk menguatkan asumsi yang ada tentang kesimpulan awal wilayah sumber material sedimen. Proses interpretasi citra mengenai sebaran tanah terbuka adalah sangat penting sebagai modal awal untuk penentuan wilayah sumber material sedimen dengan melihat karakteristik material penyusun sedimen. Hasil kajian menunjukkan bahwa terdapat korelasi yang kuat antara konsentrasi sedimen dengan debit aliran dengan persamaan Ks = 5,112 Qw ? 6,083. Kemudian wilayah sumber material sedimen tersebar pada wilayah yang memiliki nilai indeks vegetasi rendah, bentuk medan yang bergelombang hingga curam dan memiliki tingkat bahaya erosi dari normal hingga sangat berat. ......Sedimentation is a natural occurrence in the earth, the problem of sediments often occur on a local river. In time, the sediments Lumajang influence of the hydrology of the system have in downstream. The main problem is derived from the sediments from which the sediment is present. Research on the sediment source area aims to assess how big the incident and suspended sediments explore areas which are a source of material in the sediments Lumajang watershed Times. Grain size analysis, regression analysis and overlay analysis in geographic information system is necessary for the source material of sediments. Grainsize analysis used to determine the actual material it will be regression of sediments and with the water flow going so that the relationship will be established correlation between the two. Then the overlay analysis is used to strengthen the assumption that no conclusions about the initial source material sediments. The process of interpretation of the image of the open land is very important as the initial capital for the determination of the source material with the sediment characteristics of the material to see it sediments. Results of the study indicate that there is a strong correlation between the concentration of sediments with the debit flow with equality Ks = 5.112Qw - 6.083. Then the source material sediments in the region spread the vegetation has a lower index value, the form of the wave field to the steep and has a high danger of erosion from normal to very heavy.