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Abstrak :
Tesis ini bertujuan untuk memahami problematika dan potensi kampung tematik sebagai basis rumusan kebijakan smart city di Kota Malang. Kajian-kajian smart city terdahulu lebih menitikberatkan pada infrastruktur TIK dan IoT sehingga kurang menyorot aspek sosial-budaya kampung. Secara teoritik, tesis ini berupaya memahami problematika dan potensi kampung melalui proses produksi ruang serta pembentukan modal digital sebagai dasar bagi perumusan master plan smart city Kota Malang. Tesis ini menggunakan pendekatan kualitatif yang dilakukan dengan studi kasus. Secara garis besar, tesis ini menemukan bahwa: 1). Produksi ruang kampung tematik menghasilkan narasi negosiasi ruang ketimbang narasi-narasi yang cenderung eksploitatif maupun dominatif; 2). Narasi negosiasi ruang tersebut berimplikasi pada akumulasi modal sosial-budaya dan ekonomi kampung; 3). Perlunya pembentukan modal digital yang berakar pada kehidupan masyarakat; dan oleh sebab itu; 4). Smart city Kota Malang dapat mewujud secara kontekstual dan realistik dengan mengedepankan model Smart Kampung Berbasis Pariwisata ......This thesis aims to understand the problems and potential of thematic kampong as the basis for formulating smart city policies in Malang City. Previous smart city studies focused more on ICT and IoT infrastructure so that they did not highlight the socio-cultural aspects of the kampong. Theoretically, this thesis seeks to understand the problems and potential of the kampong through the production of space and the formation of digital capital as the basis for the formulation of the Malang smart city master plan. This thesis uses a qualitative approach with a case study. This thesis finds that: 1). The production of space of the thematic kampong produces the narratives of the negotiation of space rather than narratives that tend to be exploitative and domineering; 2). The narrative of the negotiation of space has implications for the accumulation of socio-cultural and economic capital of the village; 3). The need for the formation of digital capital rooted in people's lives; and therefore; 4). Malang Smart city can be realized contextually and realistic by promoting Tourism-Based Smart Kampongs model.

Abstrak :
Conservation of degraded land in Indonesia requires maps of degraded land. The maps were established based on a model developed in 1998 by the then Indonesia Department of Forestry. The model has 2 weaknesses i.e. 1. high level of uncertainty due to vector-based data used to build the thematic maps and 2. parameters redundancy or duplication from the model. This research was aimed to build up a proposed model on levels of degraded land at Merawu Watershed using fully raster-based data supported with remote sensing and GIS techniques. Parameters analyzed were Slope, Erosivity (R), Erodibility (K), Slope Length and Steepness (LS), Cover and Management (C), Support Practice (P) and Percentage of Canopy Cover. These data were presented in fully raster format. Management parameter was not explicitly used in this research because management parameter was already represented by the C and P parameters . Five parameters were directly obtained using fully raster format, i.e. Slope, LS, C, P and Percentage of Canopy Cover. The other 2 parameters went through spatial interpolation process before being presented as fully raster format. Correlation analysis among parameters was carried out. Parameters having high correlation coefficient (r ≥ 0.8) were excluded from the model to avoid redundancy. The proposed model only used parameters having low correlation coefficient. The research result showed that the determination of levels of degraded land was more accurate when using only erosion parameters, formulated as: Level of Degraded Land (LoDL) ≈ Erosion ≈ R x K x LS x C x P.

Abstrak :
Banjir di terjadi hampir setiap tahun di DKI Jakarta selama musim hujan. Skala dari dampak banjir telah meningkat pesat dalam beberapa dekade terakhir. Peningkatan ini berkaitan dengan sejumlah faktor, baik fisik (perubahan iklim) maupun sosio-ekonomi (pertumbuhan penduduk). Studi ini menganalisis dampak kedua faktor tersebut terhadap risiko banjir, dengan mempertimbangkan aspek-aspek bahaya dan kerentanan terhadap banjir dalam mengukur risiko menggunakan pendekatan berbasis indeks. Analisis spasial digunakan untuk membangun peta tematik yang digunakan untuk mengidentifikasi variasi geografis risiko banjir di antara kelurahan di DKI Jakarta. Hasilnya menunjukkan bahwa sebagian besar kecamatan berada dalam kategori risiko sedang dan sekitar 16% berisiko tinggi. Studi ini juga menganalisis aspek kerentanan sosial terhadap bencana alam di Jakarta dan berupaya memprediksi bagaimana hal tersebut akan berubah di masa depan. Proyeksi kerentanan sosial DKI Jakarta pada tahun 2030 dilakukan menggunakan ekstrapolasi tren linier untuk melihat bagaimana masing-masing indikator akan berkembang di masa depan. Ditemukan bahwa pada tahun 2030, tingkat kerentanan sosial akan berubah dengan penurunan rata-rata sebesar 2.6% dan area dengan tingkat kerentanan sosial yang tinggi tidak terkonsentrasi secara geografis dibandingkan dengan masa kini. Hasil penelitian ini dapat digunakan sebagai referensi untuk kebijakan mitigasi bencana di DKI Jakarta. ......Flooding in Jakarta occurs almost every year during the rainy season. The scale of the flooding impact has increased rapidly in recent decades. This increase was related to a number of drivers, both physical (climate change) and socio-economic (population growth). This study highlighted the impact of both factors to flood risk, considering the aspects of flood hazard and vulnerability in quantifying risk using an index-based approach. Spatial analysis is utilized to create thematic maps used to identify geographical variation of flood risk among subdistricts. The result shows that the majority of subdistricts are in the moderate risk category and around 16% are considered high-risk. This study also highlighted the socio-economic aspect of vulnerability to natural disasters in Jakarta and attempts to predict how it would change over the years with population growth as the driver. A projection of Jakarta’s future social vulnerability in 2030 is presented to see how each of the indicators would develop in the future using linear trend analysis. The study revealed that the projected future SoVI score has changed with an average decrease of 2.6 percent and areas with high SoVI scores are not as concentrated geographically in the future compared to the current assessment. The results of this study can be used as a reference for local disaster mitigation policy in Jakarta.

Abstrak :
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.