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"Pemilihan lokasi dan desain sistem energi surya merupakan tahapan yang sangat penting dalam memastikan kelayakan, keberlanjutan, dan operasional yang optimal suatu Pembangkit Listrik Tenaga Surya (PLTS). Banyak hal yang perlu dipertimbangkan dalam evaluasinya, seperti posisi (spasial) dan kondisi suatu wilayah (geospasial). Oleh karena itu, penelitian ini bertujuan untuk mengembangkan skema atau rancangan pengambilan keputusan untuk pemilihan lokasi PLTS yang sesuai, khususnya di desa tertinggal, terdepan, dan terluar (3T) Indonesia dengan metode yang digunakan adalah kombinasi Geographical Information System (GIS) dan pendekatan pengambilan keputusan multi-kriteria (MCDM), serta optimisasi desain sistem PLTS dengan menggunakan perangkat lunak HOMER untuk daerah paling sesuai berdasarkan analisis geospasial GIS-Analytic Hierarchy Process (AHP). Hasil yang didapatkan adalah kriteria yang paling berpengaruh adalah kriteria iklim (GHI 32%, temperatur 21%, dan kelembaban 5%). Daerah yang paling sesuai untuk PLTS adalah Desa Kalibagor, Desa Tulamben, Desa Tolada, Desa Kotaraja, Desa Talaga Tomoagu, Desa Maronge, dan Desa Nelelamawangi, sedangkan desa 3T yang sesuai untuk PLTS adalah Desa Kafelulang, Desa Pendulangan, dan Desa Sampuro. Kapasitas PLTS di daerah paling sesuai berada pada rentang 45,7 s/d 2.973 kW dengan produksi listrik yang dihasilkan sebanyak 69.718 s/d 4.457.825 kWh/tahun, sedangkan di desa 3T 79,4 s/d 146 kW dengan produksi listrik yang dihasilkan sebanyak 97.685 s/d 247.234 kWh/tahun. Rentang nilai Levelized Cost of Electricity (LCOE) untuk daerah paling sesuai adalah Rp4.119/kWh s/d Rp4.639/kWh, sedangkan untuk desa 3T adalah Rp4.201/kWh s/d Rp4.808/kWh.

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Site selection and solar energy system design are very important stages in ensuring the feasibility, sustainability, and optimal operation of a Solar PV Power Plant. Many things need to be considered in the evaluation, such as the position (spatial) and condition of an area (geospatial). Therefore, this study aims to develop a decision-making scheme or design for the selection of suitable solar PV locations, especially in disadvantaged, frontier, and outermost (3T) villages in Indonesia. The method used is a combination of Geographical Information System (GIS) and a multi-criteria-decision-making approach (MCDM), as well as optimization solar energy system design using HOMER software for the highly suitable area based on GIS-Analytic Hierarchy Process (AHP). The results obtained are the most influential criteria are climate (GHI 32%, temperature 21%, and humidity 5%). The highly suitable areas for solar PV power plant are Kalibagor Village, Tulamben Village, Tolada Village, Kotaraja Village, Talaga Tomoagu Village, Maronge Village, and Nelelamawangi Village, while the 3T villages that are suitable for PLTS are Kafelulang Village, Pendulangan Village, and Sampuro Village. Solar PV capacity in the highly suitable area varies between 45.7 and 2,973 kW with electricity production of 69,718 to 4,457,825 kWh/year, while in 3T villages varies 79.4 to 146 kW with electricity production of 97,685 to 247,234 kWh/year. Levelized Cost of Electricity (LCOE) in the highly suitable area varies between 4,119 IDR/kWh to 4,639 IDR/kWh, while in 3T villages varies 4,201 IDR/kWh to 4,808 IDR/kWh."

"Quantifying the social and economic value that geospatial information contributes to modern society is a complex task. To construct reliable and consistent valuation measures requires an understanding of the sequence of processes that starts with data acquisition, and leads to decision-makers' choices that impact society. GEOValue explores each step in this complex value chain from the viewpoint of domain experts spanning disciplines that range from the technical side of data acquisition and management to the social sciences that provide the framework to assess the benefit to society. The book is intended to provide foundational understanding of the techniques and complexities of each step in the process. As such it is intended to be assessable to a reader without prior training in data acquisition systems, information systems, or valuation methods.In addition, a number of case studies are provided that demonstrate the use of geospatial information as a critical input for evaluation of policy pertaining to a wide range of application areas, such as agricultural and environmental policy, natural catastrophes, e-government and transportation systems."

"ABSTRAKSistem Informasi Geospasial Kementerian Lingkungan Hidup dan Kehutanan KLHK merupakan sistem elektronik strategis yang menangani 33 informasi geospasial. KLHK membutuhkan suatu perencanaan manajemen risiko keamanan informasi yang mendukung sistem informasi geospasial. Penelitian ini akan menganalisis serta merancang manajemen risiko keamanan informasi geospasial KLHK dengan menerapkan pengumpulan data melalui wawancara, studi dokumen dan literatur serta pengolahan data dengan menggunakan kerangka kerja ISO 27005:2011 dan ISO 27002:2013. Hasil yang didapat dari penelitian ini adalah dokumen perencanaan manajemen risiko keamanan informasi berupa dokumen penanganan risiko, rekomendasi kontrol untuk mengurangi risiko dan penerimaan risiko sebagai solusi kebijakan dalam keamanan informasi geospasial KLHK.

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ABSTRACTGeospatial Information Systems of the Ministry of Environment and Forestry KLHK is an electronic system that handle 33 strategic geospatial information. KLHK requires an information security risk management plan that supports geospatial information systems. The study will analyze and design the information security risk management at KLHK by applying geospatial data collection through interviews, documents and literature studies as well as data processing using ISO 27005 2011 and 27002 2013 framework. The results obtained from this study is document of information security risk management plan in the form of risk mitigation document, recommendations to reduce the risk and control of risk acceptance as a solutions in geospatial information security policy."

"Air merupakan bahan yang begitu vital dalam hidup setiap makhluk hidup, terutama manusia, sehingga keberadaannya perlu dijaga dengan baik. Kepadatan penduduk meningkatkan kebutuhan masyarakat pada air, apabila tidak diikuti dengan sanitasi yang baik maka krisis air tidak dapat dihindari. Pemanfaatan data yang tinggi dan kebuhrhan terhadap analisis yang cepat dan tepat, telah mendorong adanya kebutuhan terhadap pengembangan sistem informasi geografis kesehatan pada Air Minum dan Penyehatan Lingktrngan (AMPL) untuk menunjang proses perencaruran dan pengambilan keputusan. Penelitian ini bertujuan untuk mengidentifikasikan model sistem informasi analisis spasial faktor resiko penyakit bawaan air yang mampu mendukung pengambilan keputusan dalam proses perencan.urn peningkatan kualitas dan kuantitas sarana air bersih dan sanitasi nasional. Metode pengumpulan data yang digunakan adalah wawancara mendalam dan studi dokumen di AMPL Pusat dan Sekretariat STBM Pusat. Sistem ini dikembangkan dengan memasukan indikator faktor risiko diare melalui tiga variabel yaitu: kependudukan, lingkungan dan perilaku hidup bersih dan sehat, yang selanjutnya dilakukan identifikasi wilayah berisiko diare di tingkat provinsi dan plotting sebaran pelaku program percepatan akses SABS. Dengan melahrkan proses analisis over laying dan plotting data dalam sistem ini, maka keluaran yang didapatkan berupa data tabulasi, grafik dan peta, yang dipercaya manlrpu melihat kesenjangan masing-masing wilayah. Analisa spasial dilakukan dengan menggunakan software Arc View 3.3 (non open source) sehingga masih dibutuhkannya eksplorasi software yang lebih praktis dalam menjawab kebutuhan pengguna sistem kedepannya.

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Water is such a vital comodity in the lfe of every living teature, especially humans, so fts presence should be maintained properly. Population density increases the water needs of the community, thus the water crisis can not be avoided if onlyJbllowed by good sanitation. High data utilization ond the need for rapid and precise analysis, has driven the need for the development of geographic information systems in health Drinking Water and Sanitation (AMPL) to support planning and decision-making process.

This study aimed to identify models of information systems spatial analysis of water-borne disease risk factors that can support decision making in the planning process improved the quality and quantity of clean water and sanitation facilities nation wide.

Data collection methods used are in-depth interviews and document studies at the Centre AMPL and the Secretariat STBM, Jakarta. The system was developed by including indicators of risk factors of diarchea in three variables: population, erwironment and behavior of clean and healthy, which in turn made the identification of areas at risk of dianhea at the provincial level and plouing the distribution of program participants access acceleration SABS.

SABSBy doing the over-laying and plotting dota analysis in this system, then its output is obtained in the form of data tabulation, charts and maps, are believed to be able ta see the gap of each region. Spatial analysis is done using soffi,vare Arc View 3.3 (non open source) so it still needs a more practical exploration software in answering the needs offuture users of the system."

"Focussing on proven techniques for most real-world data sets, this book presents an overview of the analysis of health data involving a geographic component, in a way that is accessible to any health scientist or student comfortable with large data sets and basic statistics, but not necessarily with any specialized training in geographic information systems (GIS). Providing clear, straightforward explanations with worldwide examples and solutions, the book describes applications of GIS in disaster response."

"This book provides a cross-section of cutting-edge research areas being pursued by researchers in spatial data handling and geographic information science (GIS). It presents selected papers on the advancement of spatial data handling and GIS in digital cartography, geospatial data integration, geospatial database and data infrastructures, geospatial data modeling, GIS for sustainable development, the interoperability of heterogeneous spatial data systems, location-based services, spatial knowledge discovery and data mining, spatial decision support systems, spatial data structures and algorithms, spatial statistics, spatial data quality and uncertainty, the visualization of spatial data, and web and wireless applications in GIS."

"Aimed at readers with a knowledge of Geographic Information Systems (GIS) but no formal training in computer science, this book provides a clear and accessible introduction to how GIS store and process spatial data. This updated edition includes two new chapters on databases and future developments, substantial additional material on raster imagery, and revisions throughout that incorporate up-to-date applications such as GPS on mobile devices and Internet-based services. The chapter on future technologies includes discussions of 3D GIS, handling time in GIS, spatial SQL, and handling imprecise geographies"-"