Judul: Household Livelihood Vulnerability of Lobuk and Tanah Merah in Sumenep Regency to Climate Change
Abstrak: Penilaian kerentanan masyarakat terhadap perubahan iklim merupakan langkah pertama yang perlu dilakukan agar pengambilan kebijakan mitigasi dan adapatasi perubahan iklim yang diambil tepat sasaran. Penggunaan indeks komposit seperti Livelihood Vulnerability Index (LVI, termasuk di dalamnya LVI-IPCC) dan Sistem Informasi Data Indeks Kerentanan (SIDIK) menjadi alternatif metode penghitungan kerentanan karena didasarkan pada indikator-indikator yang merangkum aspek kehidupan. Penelitian ini menggunakan metode LVI dan SIDIK, dengan pembobotan indikator yang dilakukan berdasarkan rata-rata aritmetika dan Principal Component Analysis (PCA), dengan wilayah kajian Desa Tanah Merah dan Desa Lobuk di Kabupaten Sumenep. Metode indexing yang diterapkan adalah linear scoring dan quadrant indexing. Hasil perhitungan dari data wawancara rumah tangga menunjukkan bahwa berdasarkan metode LVI, LVI-IPCC, dan SIDIK, Desa Lobuk dan Tanah Merah tergolong rentan baik pada tingkat desa maupun tingkat rumah tangga. Hasil ini diperoleh pada semua kombinasi metode pembobotan dan metode indexing yang berbeda. Tiga indikator kunci yang paling memengaruhi kerentanan Desa Tanah Merah adalah rumah tangga tanpa pengelolaan sampah, rumah tangga yang tidak pernah menerima pelatihan dari pemerintah, dan rumah tangga yang tidak menerima peringatan dini bencana. Tiga indikator kunci yang memengaruhi kerentanan Desa Lobuk adalah rumah tangga yang tidak meminta pertolongan kepada pemerintah desa dalam satu tahun terakhir, rumah tangga tanpa pekarangan, dan rumah tangga yang memiliki hutang., Community vulnerability assessment is the first step required in regard to decide the mitigation and adaptation policies of climate change. The development of composite indices such as the Livelihood Vulnerability Index (LVI, including the LVI-IPCC) and the Sistem Informasi Data Indeks Kerentanan (SIDIK) is a widely-known method of calculating vulnerability since it is based on indicators that well summarizes various aspects of life. This study utilized the LVI and SIDIK methods, with indicator weighting based on the arithmetic mean and Principal Component Analysis (PCA). The study areas are Tanah Merah Village and Lobuk Village in Sumenep Regency. The indexing method applied is linear scoring and quadrant indexing. The calculation results from household interview data showed that based on the LVI, LVI-IPCC, and SIDIK methods, Lobuk and Tanah Merah villages were classified as vulnerable at both the village and household levels. These results appeared in all the different combinations of weighting and indexing methods. Three key indicators driving the vulnerability of Tanah Merah Village are households without waste management, households that have never received training from the government, and households that do not receive disaster early warning. Three key indicators driving the vulnerability of Lobuk Village are households that have not asked the village government for help in the past year, households with small land ownership, and households with debt.
Keyword: kerentanan rumah tangga, Livelihood Vulnerability Index (LVI), Sistem Informasi Data Indeks Kerentanan (SIDIK), strategi mata pencaharian, LVI-IPCC

Judul: Analysis the Level of Vulnerability of Fishermen Households in Response to Climate Change: Case of Pari Island, South Seribu Islands, DKI Jakarta.
Abstrak: Perubahan iklim mengakibatkan terjadinya peningkatan intensitas dan frekuensi cuaca ekstrim, perubahan pola hujan, pengingkatan suhu air laut, dan terjadinya kekacauan musim angin. Dampak tersebut kemudian berpengaruh terhadap tingkat kerentanan rumah tangga nelayan. Penelitian ini menggunakan pendekatan kualitatif dan kuantitatif. Pendekatan kualitatif dilakukan dengan observasi dan wawancara mendalam kepada 4 orang informan sedangkan pendekatan kuantitatif dilakukan dengan menggunakan kuesioner kepada 50 responden dengan teknik snowball. Teknik pengolahan dan analisis data dilakukan menggunakan microsoft excel 2019 dan rumus perhitungan LVI-IPCC. Hasil penelitian menunjukkan bahwa nilai keterpaparan pada RT01 sebesar 0,49 dan RT04 sebesar 0,57. Selanjutnya, nilai kapasitas adaptif RT01 sebesar 0,59 dan RT04 sebesar 0,55. Sementara itu, nilai sensitivitas pada RT01 sebesar 0,40 dan RT04 sebesar 0,42. Nilai komponen tersebut kemudian menghasilkan nilai indeks kerentanan rumah tangga nelayan dimana indeks kerentanan RT04 lebih tinggi dibandingkan RT01 dengan nilai -0,04 pada RT01 dan 0,09 pada RT04. Kata kunci: kerentanan, perubahan iklim, rumah tangga nelayan, Climate change has resulted in an increase in the intensity and frequency of extreme weather, changes in rainfall patterns, increased sea temperatures, and chaotic wind seasons. These impacts then affect the level of vulnerability of fishing households. This research uses qualitative and quantitative approaches. The qualitative approach was conducted through observation and in-depth interviews with 4 informants, while the quantitative approach was conducted using a questionnaire to 50 respondents using the snowball technique. Data processing and analysis techniques were carried out using Microsoft Excel 2019 and the LVI-IPCC calculation formula. The results showed that the exposure value at RT01 was 0.49 and RT04 was 0.57. Furthermore, the adaptive capacity value of RT01 was 0.59 and RT04 was 0.55. Meanwhile, the sensitivity value at RT01 was 0.40 and RT04 was 0.42. The component values then produced the value of the vulnerability index of fishing households where the vulnerability index of RT04 was higher than RT01 with a value of -0.04 in RT01 and 0.09 in RT04. Keywords: climate change, fisher households, vulnerability
Keyword: climate change, Livelihood Vulnerability Index (LVI), fisher household

Judul: Characterizations of low alloy steel sae 4422  plated with chromic acid (Cro3)
Abstrak: Characterizations of low alloy steel SAE 4422 plated with chromic acid (CrOrO3) was use Optical Microscopy (OM), Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD), RD),Energy Dispersive Analysis of X-Ray (EDAX), Hardness Test and Roughness Test. Microstructures analysis exhibits cracks and grain boundaries microcracks as a characteristics of chrome metal found at plating metal. Perlite and Ferrite as grains of steel found at base metal with grain boundaries around it. Phase analysis of plating metal appropriate to chrome metal with lattice constant (a) is 2.559 Å and phase analysis of base metal appropriate to iron ferrite with lattice constant (a) is 3.318 Å. Both plating and base metal have cubic system. Chemical analysis of plating metal at surface section exhibits that cracks area have highest value of carbon element compare with grains and grains boundaries area. While chemical analysis of base metal at cross section exhibits that perlite have highest value of carbon element compare with ferrite and grain boundaries. The hardness value of plating metal at surface section and cross section are 753 and 637 VHN. While, the hardness value of base metal and interface area at cross section are 205 and 373 VHN. The roughness value at measurement points of chrome surface for as received sample are 0.445 μm. Observation used Optical Microscopy and Scanning Electron Microscopy exhibits surface irregularities combine to form surface texture of plating metal at surface section.
Keyword: