The vague concepts of the Smart city have left a significant gap for researchers to amplify the knowledge cavity. This work delved into the implementation of Smart city in The Metropolis of Lyon, France, which strongly involved public and private governance. A project named Smart Electric Lyon (SEL), organized by the Group Electricté de France (EDF), reflects Lyon's urban ecosystem as a test-bed platform to demonstrate Smart meter technology. In return, The Metropolis of Lyon seized the opportunity to promote SEL as a new reference for the local Energy Transition initiatives. This work underlined the governance model of SEL as a Smart city that encompassed a plethora of interests in both public and private. Here, the governance is comprehended in two ways, the first was the role of SEL as a technical setting to satisfy the EDF Smart meter experiments and the second was the Janus of the socio-technical and politics of SEL that compel with the local agenda. This work employed a qualitative method, deploying in-depth semi-structured interviews with dozens of key actors and intense field observations. The findings showcase SEL Smart city project as a co-production of the public and private interests rather than a merely digital innovation process. The approach through the territorial standpoint has allowed depicting a multilevel interest from different stakeholders culminated under the form of a Smart city on the city stage.

The city of Bandung, which is located in West Java Province, is known as the Flower City and consists of 31 sub-districts. One of the sub-districts in the city of Bandung which has various supporting facilities such as housing, rice fields, shopping centers, hospitals, and schools is Rancasari District. Rancasari Subdistrict, which is located in the south of Bandung City, every year always experiences rapid population growth and development from various aspects. These rapid changes and developments are also inseparable from the influence of detailed urban spatial plans and zoning regulations. The residential area is one of the things that is being considered, followed by other sectors that are starting to be built, such as trade and services, the main road that connects between cities, and the busy traffic causes the area to become congested. As a result, green land such as rice fields is reduced so that there is a lack of useful drainage to prevent flooding. In this study, it will be seen how changes in land value zones are affected by RDTR and zoning, in Rancasari District by referring to the Land Value Zone Map and Land Use Map so that they can identify and map the changes that occur every year to the land. The result of processing, in 2015, the highest land price in Cipamokolan Village was Rp. 2,602,000 namely in the Mixed class, Natural Protection, Public Services, Offices, Local Protection, and Housing. Meanwhile, in Derwati Village, the highest land price is Rp. 6,297,000 in Industry & Warehousing, Natural Protection, Public Services, Trade & Services, Offices, Local Protection, and Housing classes. In Manjahlega Village, the highest land price is Rp. 6,297,000 in General Services, Trade & Services, Offices, and Housing classes. In Mekarjaya Village, the highest land price is Rp. 6,297,000 in the Public Service, Trade & Services, Local Protection, and Housing classes. In 2020, the highest land price in Cipamokolan Village is Rp. 17,276,000 in Natural Protection, Public Services, Trade & Services, Offices, Local Protection, and Housing classes. In Derwati Village, the highest land price is Rp. 10,092,000 in Industry & Warehousing, Natural Protection, Public Services, Trade & Services, Offices, Local Protection, and Housing classes. In Manjahlega Village, the highest land price is Rp. 17,276,000 in Mixed, Natural Protection, Public Service, Local Protection, and Housing classes. Mekarjaya Village has the highest land price of Rp. 10,092,000 in the Public Service, Trade & Services, Local Protection, and Housing classes. 2. Land use in Rancasari District has a total area of 692,224 Ha. The distribution of land use in Rancasari Subdistrict in 2015 and 2020 was the largest class, namely the Residential Zone class, namely 462,187 Ha and 448,597 Ha, while the smallest in 2015 and 2020 was in the Bus Terminal/Angkot area class of 0.002 Ha and the Public Facilities class. area of 0.040 Ha. The land use classes in the Rancasari District are increasing, namely Health Facilities, Government Office Areas, Education Areas, Worship Areas, Bus/Angkot Terminal Areas, and Business Areas, Utilities Areas. For the increase in land use area in Rancasari District in 2015 and 2020, the most was in the Business Zone class, which was 12,911 Ha or 1.865%. 3. From the Land Use Suitability Analysis, the area of land use in Rancasari District in 2015 which is in accordance with the Detailed Spatial Planning (RDTR) of Bandung City in 2015 – 2035 is 458,235 Ha or equivalent to 66,144%. Meanwhile, the area of land use that is not in accordance with the Detailed Spatial Plan for the City of Bandung in 2015 – 2035 is 234,547 hectares or 33,856%. The area of land use in Rancasari District in 2020 in accordance with the Detailed Spatial Planning (RDTR) of Bandung City in 2015 – 2035 is 459,473 Ha or equivalent to 66,324%. Meanwhile, the area of land use that is not in accordance with the Detailed Spatial Plan for the City of Bandung in 2015 – 2035 is 233,302 hectares or 33,676%.

Kabupaten  Jepara mengalami peningkatan pertumbuhan industri ditinjau dari peningkatan investasi Penanaman Modal Asing (PMA). Penentuan yang berpotensi sebagai pengembangan industri dibutuhkan untuk mendorong pertumbuhan sektor industri agar lebih terarah dan terpadu. Metode Sistem Informasi Geografis (SIG) merupakan metode yang memanfaatkan aspek parameter spasial yang digunakan dalam menentukan lokasi potensial untuk pengembangan industri di Kabupaten Jepara. Terdapat sepuluh parameter spasial dalam penelitian ini yang digunakan dalam penentuan kawasan peruntukan industri di antaranya adalah kemiringan lereng, jenis tanah, penggunaan lahan, curah hujan, jarak ke jalan utama, jarak ke jaringan listrik, jarak ke jaringan sungai, jarak ke fasilitas umum, jarak ke pemukiman dan jarak dari pusat kota. Data tersebut kemudian dilakukan pembobotan dengan metode Analytical Hierarchy Process (AHP). Metode AHP digunakan untuk mengetahui besar bobot yang mempengaruhi pada masing-masing parameter. Hasil penelitian ini yaitu peta potensial lahan kawasan peruntukan industri. Berdasarkan hasil pembobotan diperoleh lima kelas klasifikasi tanah yaitu sangat sesuai (S1) sebanyak 1,027 %, sesuai (S2) sebesar 14,402 %, cukup sesuai (S3) sebesar 33,472%, kurang sesuai (N1) sebesar 37,624 % serta tidak sesuai sebesar (N2) 13,475 %. Hasil dari intersect peta potensi lahan KPI dengan RTRW diperoleh wilayah yang sangat sesuai sebesar 31.655596 ha. Kata Kunci: AHP, SIG, Potensi Lahan Industri

Kebakaran merupakan salah satu penyebab terjadinya perubahan tutupan lahan di wilayah kawasan lindung. Taman Nasional Way Kambas merupakan salah satu wilayah kawasan lindung yang selalu terjadi kebakaran setiap tahun yang menyebabkan berkurangnya wilayah hutan dan menyebabkan satwa disana menjadi rentan. Gajah Sumatera sebagai hewan endemik di Way Kambas sangat rentan terhadap bencana tersebut. Sistem radar sebagai sistem yang dapat memetakan berbagai permukaan tanpa terhalang oleh gangguan awan berperan sangat penting. Dengan memanfaatkan sistem radar dapat dilakukan identifikasi perubahan tutupan lahan. Tujuan dari penelitian ini dilakukan adalah untuk mengetahui bagaimana pemanfaatan Sentinel-1A pada pengolahan menggunakan metode polarimetrik dengan Unsupervised Wishart Classification dalam menganalisis dampak kebakaran hutan terhadap perubahan tutupan lahan dan

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