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.

Indonesian climate is characterized with abundant rainfall throughout the year. Differences the amount of rainfall are seen significantly in areas with monsoonal patterns in the event of extreme climates, both El-Nino and La-Nina. Rainfall pattern dynamic that occurs in Indonesia, even worldwide, is reflected by meteorological extrem events in several regions, i.e. extreme rainfall, season change, sea level rise, drought, and flood. Lombok Island is one small island in Indonesia with high levels of vulnerability to climate change. Regarding to the meteorological events occurred in Lombok, this research aims to identify spatiotemporal distribution of rainfall pattern changes in Lombok island during 1999-2014. TRMM (Tropical Rainfall Measurement Mission) data precipitation was used as the main data due to limitation of available precipitation data. Results show annual rainfall trend was decreased and most of monthly rainfall were increased. There was an anomaly during 2009-2010 when consecutive El Nino and La Nina hit Lombok. El Nino and La Nina strongly effected on rainfall amount in Lombok Island. Western part of Lombok island is wetter than the eastern part because the monsoon starts earlier in the west. The northern part has more intense rainfall due to the orographic factor.

Kejadian tsunami di Indonesia mencapai 5% dari total kejadian tsunami secara global. Pesisir selatan Jawa menjadi salah satu kawasan yang berpotensi tsunami karena letaknya berada pada zona subduksi. Pelabuhan perikanan pesisir Sadeng terletak di pantai pesisir Selatan Yogyakarta dengan potensi terdampak bencana tsunami. Penilaian kerentanan fisik dan sosial di pesisir Sadeng serta kesiapsiagaan masyarakat terhadap bencana tsunami menjadi tujuan dari penelitian. Metode penilaian kerentanan dan kesiapsiagaan menggunakan parameter fisik dengan indikator infrastruktur dan parameter sosial dengan indikator masyarakat. Kawasan pesisir Sadeng tergolong memiliki tingkat kerentanan yang tinggi dikarenakan posisi infrastruktur yang sangat dekat dengan garis pantai (< 50 meter) dan kondisi penduduk yang padat menjadikan kawasan ini rentan mengalami kerusakan dan kerugian ketika bencana tsunami terjadi. Dari segi kesiapsiagaan, kawasan ini telah memiliki kesiapsiagaan yang tinggi dalam menghadapi tsunami. Beberapa hal tentang kesiapsiagaan yang masih perlu untuk ditingkatkan lagi adalah tentang jalur evakuasi dan organisasi kebencanaan.Kata kunci: tsunami, kerentanan, kesiapsiagaan, pesisir, SadengTsunami occurance in Indonesia was 5% from total global tsunami worldwide. Java Southern Coast prones to tsunami because it is located in subduction zone. This made Sadeng Fishing Port, prones to tsunami because it is located in the Southern Coast of Yogjakarta. Physical and social vulnerability assessment along with community preparedness towards tsunami was the aim of this research. The vulnerability and preparedness assessment method utilized physical parameters with its infrastructure indicator and social parameter with its society indicatior. Sadeng Coastal Area categorized as high vulnerable area prone to tsuami because of their infrastructures built very close to the coastal line (<50 meters), also with dense population develop this area prone to devastation and loss due to tsunami. From the preparedness point of view, this area has a high level of preparedness in facing tsunami. Several points need to be elevated are evacuation routes and rganization of disaster management.Key words: tsunami, vulnerability, preparedness, coastal, Sadeng

Coastal community is vulnerable to hazards including tsunami hazard. Coastal communities suffer the most both physical and psychological impacts. The main purpose of this research to assess local community resilience to tsunami in small port which has a unique characteristic. Main data of this research was collected by field observation and interview. Interview process were addressed to key persons and households. USAID coastal community assessment is used as main method in this research. There are eight elements of resilience for coastal community resilience: governance, society and economy, coastal resource management, land use and structural design, risk knowledge, warning and evacuation, emergency response and disaster recovery. The results show that overall rating for eight elements of community resilience is 2,5 or 50 %. It is only halfway to reach an ideal criterion for community resilience. Strong elements in this community are risk knowledge and warning and evacuation, while weak elements are society and economy, coastal resource management, and disaster recovery. The community should gain more effort especially in developing a sustainable economy and strengthening integration among stakeholders for disaster recovery.

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

Bencana gerakan tanah atau longsor memiliki dampak daya rusak yang tinggi dan dapat mengubah kondisi fisik dan lingkungan disekitar lereng. Selain dampak tersebut, pemanfaatan sumber daya alam dan penataan ruang yang tidak tepat menyebabkan risiko bencana gerakan tanah menjadi lebih besar. Salah satu upaya mitigasi dalam kebencanaan gerkan tanah adalah identifikasi zona kerawanan gerakan tanah. Seperti yang diamanahkan oleh Undang Undang no.24 tahun 2007 tentang penanggulangan bencana, dengan langkah mitigasi pemetaan zona kerawanan gerakan tanah atau longsor. Pemetaan gerakan tanah dapat dimodelkan dengan pendekatan spatial multi criteria, dimana parameter yang mempengaruhi longsor yaitu kemiringan lereng, jenis batuan, struktur geologi, kegempaan, gerakan tanah, tata guna lahan / penggunaan lahan diberikan nilai dan bobot yang dominan terhadap gerakan tanah. Parameter dengan bobot yang paling tinggi merupakan parameter yang menentukan potensi gerakan tanah. Perhitungan skor diperoleh dari perhitugan penjumlahan linier semua parameter. Skor dengan nilai paling tinggi menunjukkan zona kerawanan gerakan tanah tinggi atau bencana tinggi. Berdasarkan latar belakang tersebut, maka tujuan dari penelitian ini adalah mengetahui distribusi keruangan (spasial) kerawanan gerakan tanah. Hasil penelitian menunjukkan bahwa di Kabupaten Bangkalan terdapat empat klasifikasi kerawanan gerakan tanah, yaitu sangat rendah di dataran pantai, kerawanan rendah pada daerah pesisir, kerawanan menengah pada morfologi perbukitan, dan kerawanan tinggi pada morfologi perbukitan pada bagian tengah dengan lereng yang curam. Secara umum tingkat kerawanan gerakan tanah di Kabupaten Bangkalan masuk klasifikasi rendah.