Productive agricultural areas in Kebumen, Central Java, Indonesia are potentially vulnerable to the adverse impacts of climate change. We surveyed small-scale farmers to assess climate change-related perceptions and adaptations in the agriculture sector. The majority of the respondents agreed that there were changes in climatological variables affecting their farming activities, especially in terms of precipitation and temperature. However, the results also revealed that only 13% of respondents believed that human activities play a significant role. Three forms of adaptations have been developed by the farmers, namely: (1) agricultural diversification, (2) agricultural intensification, and (3) socioeconomic adaptation. Changing crops to more climate-tolerant varieties was one of the most common agricultural diversification practices (implemented by 88% of farmers). Most of the farmers also tried to maintain agricultural productivity by adjusting a local planting calendar (implemented by 94% of farmers). The use of machinery to intensify farming practice was an uncommon strategy (implemented by only 30% of farmers) because of expensive maintenance and small cultivation areas. The results suggested the importance of increasing farmers’ knowledge and technological know-how related to climate change and its implications, developing effective adaptation and mitigation efforts, and constructing climate-resilient infrastructure in the agricultural sector.

Penelitian ini bertujuan untuk membuat peta arahan penggunaan lahan di kawasan karst Kecamatan Ponjong, Kabupaten Gunungkidul, D.I. Yogyakarta pada skala semi detil. Penentuan arahan penggunaan lahan didasarkan pada kemampuan lahan dan peta kawasan lindung sumberdaya air. Peta kawasan lindung sumberdaya air meliputi daerah tangkapan air sinkhole (luweng), telaga dan sempadan mataair.Hasil penelitian menunjukkan bahwa wilayah penelitian terdiri dari kelas kemampuan lahan III, IV, dan VIII. Kelas kemampuan lahan yang dominan adalah VIIIws. Berdasarkan peta kawasan lindung sumberdaya air dan kemampuan lahan diketahui bahwa arahan penggunaan lahan yang dominan adalah untuk garapan sedang.

Flood is the most frequent disaster occured in Indonesia. Flood events result in loss and damage to communities and the environment. Floods are triggered by several factors including hydrometeorological factors, topography, geology, soil and human activities. Topographic factor is one of the flood trigger control factors. Topographic calculation for flood inundation detection can be done by Topographic Wetness Index (TWI) method. The TWI method focuses on topographic conditions of the region, especially the upper slopes and lower slopes to assess the trend of water accumulation in a region. TWI calculations are based on the topography of an area represented by DEM (Digital Elevation Model) data in the form of DTM (Digital Terrain Model). The high value of TWI is associated with high flood vulnerability. Based on the calculation of TWI value, flood-prone areas in Kebumen District include Adimulyo Subdistrict, Puring Subdistrict, Ambal Subdistrict, Rowokele Subdistrict and Buayan Subdistrict.

Tsunami occurrence in Indonesia has continued to increase until 2018. The southern coast of Java is one of the tsunami-prone areas because it is located in a subduction zone. Study location is Sadeng coastal area which is located in the south coast of DIY Province. Disaster vulnerability studies at the household level is still limited, so this paper aims to identify physical and social vulnerability to tsunami hazard at the household level. The data of this research was obtained by invterviewing household respondents and observing physical condition of building. Identification of physical vulnerability was performed using modified SCHEMA and PTVA-3 method, while social vulnerability assessment considered demographic and socio-economic parameters. Total vulnerability was retrieved from matrix analysis of physical and social vulnerability classification. The study shows that 64 % households in Sadeng coastal areas are classified to moderate vulnerability, 30% of households are high vulnerability and 6 % of households are low vulnerability.  High vulnerability is characterized by households which occupy non-permanent houses, have no economic assets, and have a high dependency ratio. Moderate vulnerability is characterized by households which occupy semi-permanent house, have economic assets, but have high dependency ratio. Low vulnerability is characterized by households which live in government-owned buildings, have economic assets, and have low dependency ratio. Keywords: tsunami, vulnerability, building`s physical vulnerability, social vulnerabilityKejadian tsunami di Indonesia terus mengalami peningkatan hingga tahun 2018. Pesisir selatan Jawa merupakan salah satu kawasan yang terpapar bahaya tsunami karena terletak pada zona subduksi. Lokasi kajian adalah kawasan pesisir Sadeng yang berlokasi di pesisir selatan Propinsi DIY. Kajian kerentanan bencana di tingkat rumah tangga belum banyak dilakukan, sehingga tulisan ini bertujuan untuk melakukan identifikasi kerentanan fisik bangunan dan sosial terhadap bencana tsunami di tingkat rumah tangga. Perolehan data penelitian dilakukan dengan wawancara responden rumahtangga dan observasi kondisi fisik bangunan. Identifikasi kerentanan fisik bangunan dilakukan dengan metode SCHEMA dan PTVA-3 yang dimodifikasi, sedangkan penilaian kerentanan sosial mempertimbangkan parameter kependudukan dan sosial ekonomi. Nilai total kerentanan diperoleh dari analisis matriks klasifikasi kerentanan sosial dan fisik bangunan. Kajian menunjukkan bahwa sebesar 64 % rumahtangga di kawasan pesisir Sadeng termasuk dalam kelas kerentanan sedang, 30 % rumahtangga dalam kerentanan tinggi dan 6 % rumahtangga dalam kerentanan rendah. Tingkat kerentanan tinggi dicirikan dengan rumahtangga yang menempati rumah tinggal non-permanen, tidak memiliki asset ekonomi, dan memiliki angka ketergantungan yang tinggi. Tingkat kerentanan sedang dicirikan dengan rumahtangga yang menempati rumah tinggal semi permanen, memiliki asset ekonomi namun memiliki angka ketergantungan yang tinggi. Tingkat kerentanan rendah dicirikan dengan rumahtangga yang tinggal pada bangunan milik pemerintah, memiliki asset ekonomi, dan memiliki angka ketergantungan yang rendah.  Kata kunci: tsunami, kerentanan, kerentanan fisik bangunan, kerentanan sosial

Urbanization in Indonesia has continued to increase starting in 2011. The increasing population impacted the conversion of agricultural land to non-agricultural land. Reduction in the proportion of green open space results in changes in the spatial pattern of the area which affects the increase in urban temperatures, thus triggering the occurrence of UHI. This study aims to determine the spatial distribution of LST and LCZ in Semarang City by using quantitative descriptive analysis. Semarang City has LST variation values between 24.72ºC to 32.56ºC. Semarang City has 13 types of LCZ, consisting of 6 LCZs based on building types and 7 LCZs based on land cover. LCZ type B is the largest LCZ which reaches 58.52 km² or 15.12% of the total area. The highest LST is LCZ type E, reaching 32.10 °C which displays rock landscapes or asphalt cover. The lowest value is LCZ type G, reaching 25.09°C, which is an open water body such as reservoirs and ponds. Climate-based urban planning can be carried out in the LCZ area which has a high temperature by observing and mitigating it through the constituent components of each LCZ.