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"Responsible land distribution in Asia, with ever-increasing limitations in space, requires the use of smart technologies, sophisticated models, intelligent algorithms, and big data repositories. This book presents new land management perspectives and fit-for-purpose, flexible, dynamic, and effective solutions for land management and land administration problems. Written by global experts from different Asian countries, including China, India, Indonesia, Iran, Japan, South Korea, Thailand, Vietnam, etc., all these cases demonstrate how and why the uptake of geospatial technologies is booming and how to handle land scarcity and competing spatial interests in both urban and rural areas in Asia.Truly an interdisciplinary book, this text is a practical guide for an array of readers, such as practitioners in public and private companies involved in both geospatial and land management applications, as well as graduate students, researchers, academics, and professionals working in land administration, land management, spatial planning, real estate studies, geosciences, geoinformatics, and geodesy."

"Penelitian ini bertujuan untuk mengetahui pola spasial dari kepuasan hidup penduduk DKI Jakarta. Data penelitian diambil melalui survei online pada penduduk Jakarta yang berusia di atas 18 tahun ( N=748). Pengukuran variabel kepuasan hidup dilakukan dengan menggunakan Satisfaction With Life Scale (SWLS) dan untuk variabel kondisi geografi didapatkan dari data sekunder Badan Pusat Stastistik dan Jakarta Open Data. Analisis spasial dilakukan dengan menggunakan metode autokorelasi spasial Moran’s I, Moran scatter plot, dan regresi. Temuan penelitian menunjukkan bahwa terdapat pola spasial kepuasan hidup penduduk Jakarta yang mengelompok di tingkat kelurahan (Moran’s I= 0.224) dan densitas penduduk di tingkat kelurahan berkontribusi terhadap kepuasan hidup penduduk Jakarta (R² = 0.111).

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The current study is aimed to analyse geospatial pattern of life satisfaction among Jakarta’s residents. Data were gathered through an online survey on the Jakarta’s population aged above 18 years (N = 748). Life satisfaction was measured using Satisfaction With Life Scale (SWLS) and geographic data were obtained from Badan Pusat Statistik and Open Data Jakarta. Spatial data were analyzed using Moran’s I spatial autocorrelation method, Moran Scatter plot, and regression. Results showed that there is a clustered pattern of life satisfaction among residents of Jakarta (Moran’s I=0.224) and population density at urban village level contributes to life satisfaction of Jakarta’s population (R² = 0.111)."

"Data geospasial dibutuhkan untuk mendukung pembangunan nasional berbasis data. Akan tetapi, data geospasial yang tersedia di Indonesia masih belum memadai karena masih adanya tumpang tindih antardata yang diproduksi oleh pemerintah. Oleh karena itu, diperlukan adanya kebijakan penyelenggaraan data geospasial pemerintah, salah satunya adalah Kebijakan Satu Data Indonesia (SDI). Kebijakan SDI mengamanatkan Badan Informasi Geospasial (BIG) sebagai Pembina Data Geospasial Tingkat Pusat dengan memiliki lima tugas utama dalam pembinaan untuk mengimplementasikan SDI khususnya dalam penyelenggaraan data geospasial. Namun dalam mengimplementasikan tugas-tugas pembina tersebut, BIG masih belum mengimplementasikan sepenuhnya seperti belum dilakukannya pemeriksaan ulang data prioritas. BIG masih memiliki permasalahan seperti kurangnya jumlah SDM, anggaran, serta aturan turunan untuk mengimplementasikan kebijakan tersebut. Oleh karena itu, tesis ini bertujuan untuk membahas implementasi dan faktor-faktor yang memengaruhi implementasi kebijakan SDI untuk data geospasial di BIG. Penelitian ini menggunakan pendekatan postpositivism dengan menggunakan konsep implementasi kebijakan dengan teknik pengumpulan data, yaitu wawancara mendalam dan studi pustaka, serta menggunakan teknik analisis ideal type Max Weber. Hasil dari penelitian ini adalah belum memadainya implementasi SDI untuk data geospasial di BIG karena masih terdapat banyak kekurangan serta terdapat pula faktor-faktor yang memengaruhi belum memadainya implementasi tersebut. Rekomendasi penelitian berikutnya adalah adanya evaluasi terhadap implementasi SDI secara menyeluruh dari semua stakeholder terkait.

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Geospatial data is needed to support data-based national development. However, the geospatial data which available in Indonesia is still inadequate because there’s overlap between data that produced by government. Therefore, it is necessary to have a government geospatial data management policy, one of which is the Satu Data Indonesia (SDI) policy. The SDI policy mandates the Badan Informasi Geospasial (BIG) as the Central Level Geospatial Data Supervisor has five main tasks in providing guidance in implementing SDI, especially in managing geospatial data. However, in implementing the supervisory duties, BIG still hasn't fully implemented it, as has not done a re-check of priority data. BIG still has problems such as a lack of human resources, budget, and derivative regulations to implement these policies. Therefore, this study aims to discuss the implementation and factors that influence the implementation of SDI policies for geospatial data in BIG. This study uses a postpositivism approach using the concept of policy implementation with data collection techniques, namely in-depth interviews and literature studies, as well as using ideal type Max Weber analysis technique. The results of this study are the inadequate implementation of SDI for geospatial data at BIG because there are still many deficiencies and there are also factors that influence the inadequate implementation. Recommendation for the next study is to evaluate the SDI implementation from all stakeholders."

"Sistem 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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Geospatial 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."

"Erosi mempunyai peran penting sebagai penyebab penurunan produktivitas lahan. Di Indonesia penyebab terjadinya erosi yaitu air, karena letaknya yang berada di iklim topis basah. Karena dampaknya yang sangat mempengaruhi kehidupan manusia, diperlukan suatu prediksi yang dapat dijadikan alternatif untuk mengetahui besar erosi. Sehingga dapat digunakan lebih lanjut sebagai patokan untuk melakukan tindakan konservasi tanah yang tepat. Prediksi yang digunakan dalam penelitian ini adalah GeoWEPP atau Geospatial Water Erosion Prediction Project. Hasil penelitian menyimpulkan besar laju erosi dan hasil sedimen DA Ci Mandiri dari prediksi GeoWEPP secara keseluruhan adalah 25.701,12 ton/Ha/tahun dan 17.957,789 ton/Ha. Besar laju erosi dan hasil sedimen suatu DAS berasosiasi dengan bentuk DASnya. Korelasi lemah antara rasio memanjang DAS dengan laju erosi dan korelasi cukup kuat antara rasio memanjang DAS dengan hasil sedimen. Untuk tingkat bahaya erosi DA Ci Mandiri, nilainya semakin besar seiring dengan bentuk DAS yang semakin memanjang.

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Erosion has impact to decrease land productivity. In Indonesia, the main reason of erosion occurs is water, which is located on tropic climate. Cause the important to knowing the rate of erosion and sediment yield for agriculture and conservation planning, using prediction of the erosion could solve the problems. The prediction of erosion which use in this research is Geospatial Water Erosion Prediction Project or known as GeoWEPP.

The result of erosion rate and sediment yield using GeoWEPP model for Ci Mandiri Watershed is 25.701,12 ton/Ha/year and 17.957,789 ton/Ha. The correlation between erosion rate and sediment yield is associated with the form of watershed morphometry. Low correlation between erosion rate and watershed elongation ratio, and high correlation between sediment yield and watershed elongation ratio. Danger level of erosion Ci Mandiri watershed has similar pattern with form of watershed morphometry, elongation ratio."

"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."

"Geospatial information modeling and mapping has become an important tool for the investigation and management of natural resources at the landscape scale. Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping reviews the types and applications of geospatial information data, such as remote sensing, geographic information systems."

"The ability to create automated algorithms to process gridded spatial data is increasingly important as remotely sensed datasets increase in volume and frequency. Whether in business, social science, ecology, meteorology or urban planning, the ability to create automated applications to analyze and detect patterns in geospatial data is increasingly important. This book provides students with a foundation in topics of digital image processing and data mining as applied to geospatial datasets. "

"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."