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"Kehilangan rumah akibat bencana dapat menyebabkan dampak negatif pada sektor lain seperti harga diri, kesehatan, ekonomi, keamanan, dan kenyamanan penghuninya khususnya bagi keluarga dari masyarakat Desa Lombonga, Kabupaten Donggala yang terdampak gempa bumi yang melanda Sulawesi Tengah pada September 2018. Masalah dalam penelitian ini adalah keluarga berpenghasilan rendah selalu mengalami kesulitan untuk membangun rumahnya secara mandiri ditambah kebutuhan dan kapasitas setiap keluarga yang berbeda-beda. Untuk itu, penelitian ini bertujuan untuk merumuskan model keberlanjutan dari suatu respon pemulihan hunian pasca bencana yang mendukung kesejahteraan dan ketahanan keluarga. Metode yang digunakan adalah kuantitatif dengan metode campuran melalui survei keluarga, wawancara mendalam, diskusi kelompok terfokus, dan observasi langsung. Hasil penelitian ini mengumpulkan bukti korelasi antara proses rekonstruksi hunian sementara dan hunian tetap yang dapat memberikan dampak pada harga diri, kesehatan, ekonomi, keamanan dan kenyamanan penghuninya. Disimpulkan bahwa dampak tersebut berkontribusi pada sikap pengetahuan keluarga untuk menghadapi bencana dan meningkatkan ketahanan keluarga.

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Disaster-related home loss negatively impacts dignity, health, economy, security, and comfort, particularly for families in Lombonga Village, Donggala Regency, affected by the September 2018 Central Sulawesi earthquake. The problem in this study is the low-income families face challenges in independently rebuilding their homes, compounded by varying needs and capacities. For this reason, this study aims to develop a sustainable post-disaster housing recovery model that enhances family welfare and resilience. Utilizing a quantitative approach with mixed methods, data were gathered through surveys, in-depth interviews, focus group discussions, and direct observation. The results of this study reveal a correlation between the reconstruction of temporary and permanent housing and improvements in residents' dignity, health, economy, safety, and comfort. The study concludes that these impacts contribute to better disaster preparedness and increased family resilience. "

"Bencana banjir adalah permasalahan yang mengancam keberlanjutan DKI. Jakarta. Banjir besar menunjukkan intensitas yang semakin tinggi akibat besarnya perubahan fungsi lahan, tingginya curah hujan, dan upaya mitigasi dilakukan belum memadai. Diperlukan peningkatan kapasitas kota yang siap menghadapi bencana. Kota perlu dirancang dengan baik untuk mewujudkan ketahanan bencana atau disebut dengan Resilient City. Tujuan penelitian untukmenganalisis faktor-faktor yang berpengaruh terhadap ketahanan kota, menentukan faktor yang paling dominan, menganalisis indeks dan status keberlanjutan kota, serta membangun model adaptasi ketahanan kota untuk mewujudkan keberlanjutan DKI. Jakarta.Hasil analisis keberlanjutan menggunakan metode Multi-Dimensional Scalling dengan softwareRap-Resilient Citymenunjukkan bahwa dimensi ekologi dan teknologi kurang berlanjut dan, dimensi sosialbudaya, ekonomi dan etika menunjukkan posisi cukup berlanjut. Hasil analisis menggunakan Structural Equations Model,ditemukan empat faktor yang mempengaruhi model adaptasi ketahanan kota rawan bencana DKI Jakarta, yaitu penataan ruang, inovasi teknologi, manajemen bencana, dan adaptasi bencana. Faktor yang paling berpengaruh terhadap model adalah faktor penataan ruang. Novelti penelitan ini adalah mengembangkan Model Ketahanan Kota Rawan Bencana Banjir.

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Flood disaster is the problem that could threaten the sustainability of Jakarta.The major flooding that occurred increasingly shows high intensity, it is due to the magnitude of changes in land use, high rainfall, and inadequate mitigation effort undertaken. It is necessary to increase the capacity of the city to face disasters. The city needs to be well designed to achieve a state of city disaster-resistancy or may be called by the Resilient City. The purpose of the study is to analyze the influencing factors against the resilience of flood-prone city of Jakarta, determine the dimension factors of the most dominant in the city of Jakarta, analyze the index and sustainability status of Jakarta City, as well as to build adaptation model of resilience flood-prone city to actualize sustainability of the city of Jakarta.

The analytical result of the sustainability utilized by Multi-Dimensional Scaling, which uses software-resilient Rap-Resilient City and it is shows that the ecological and technological dimensions less continued, while the social dimension of culture, economics and ethics show the position the position of achieving sustainability.Furthermore, the results of analysis using Structural Equations Model, it was found four factors affecting the adaptation model resilience of disaster-prone cities of Jakarta, namely spatial planning, technological innovation, disaster management, and disaster adaptation fund. The factors that most influence on the model is the factor of spatial management. The novelty of this research is the creation of a Model of Flood Disaster Prone City Resilience."

"Lingkungan dan pembangunan merupakan isu yang telah lama dibahas dalam masyarakat internasional. Dalam hal ini terdapat kesepakatan internasional bahwa keduanya harus diintegrasikan untuk mewujudkan pembangunan berkelanjutan. Istilah pembangunan berkelanjutan di Indonesia sudah sejak lama dikenal namun sayangnya implementasinya di lapangan belum cukup baik. NGO sebagai salah satu aktor yang memiliki peran strategis banyak membantu dalam mendorong mewujudkan pembangunan berkelanjutan di Indonesia. Dalam hal ini kita dapat melihat upaya NGO dalam mendorong pembangunan berkelanjutan dengan proyek-proyek yang dilaksanakan. Salah satu NGO yang mendorong mewujudkan upaya berkelanjutan adalah WI-IP. Lebih khusus, dapat dilihat dalam proyek Green Coast. Proyek Green Coast merupakan proyek rehabilitasi ekosistem pesisir pasca tsunami Aceh dan Nias. Proyek Green Coast merupakan proyek rehabilitasi ekosistem dengan menggabungkan upaya pemberdayaan ekonomi. Dalam penelitian ini, akan dibahas mengenai peran dan strategi WI-IP dalam proyek ini. Penelitian merupakan penelitian kualitatif dengan menggunakan metode kajian kepustakaan. Hasil penelitian ini memperlihatkan strategi yang digunakan WI-IP dalam proyek ini antara lain information politics, leverage politics dan accountability politics.

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Environment and development is an issue that has long been discussed within the international community. In this case there is international agreement that they should be integrated to achieve sustainable development. The term sustainable development in Indonesia have long been known for implementation on the ground but unfortunately not good enough. NGOs as one of the actors who have a strategic role in encouraging a lot of help to achieve sustainable development in Indonesia. In this case we can see the efforts of NGOs in promoting sustainable development with projects undertaken. One NGO that encourages ongoing efforts to realize is WI-IP. More specifically, it can be seen in the Green Coast project. Green Coast Project is a project of post-tsunami rehabilitation of coastal ecosystems in Aceh and Nias. Green Coast project is the rehabilitation of the ecosystem by combining the efforts of economic empowerment. In this study, will discuss the role and WI-IP strategy in this project. The study is a qualitative research study using the literature. The results of this study show that the strategy used WI-IP in the project include information politics, leverage politics and accountability politics."

"Peramalan permintaan bantuan logistik merupakan acuan untuk kegiatan distribusi yang optimal pasca gempa bumi. Peramalan permintaan yang akurat dan efisien dapat mencegah habisnya ketersediaan bantuan logistik, mempercepat waktu distribusi, dan menjamin setiap korban gempa bumi memperoleh bantuan logistik yang dibutuhkan, sehingga dapat mengurangi penderitaan dan menyelematkan hidup mereka. Penelitian ini bertujuan untuk merancang model peramalan permintaan bantuan logistik pasca gempa bumi. Pendekatan Case-based Reasoning (CBR) dengan dukungan internet of things (IoT) digunakan pada penelitian ini. Gempa bumi Lombok utara yang terjadi pada tahun 2018 digunakan sebagai kasus target yang akan diramal permintaan bantuan logistiknya. Hasil peramalan diperoleh berdasarkan kasus gempa bumi yang paling similar dengan kasus target. Similaritas kedua kasus ditentukan berdasarkan enam atribut yaitu: magnitudo, kedalaman gempa bumi, jarak episentrum, jumlah populasi terdampak, durasi tanggap darurat (hari), dan Modified Marcelli Intensity (MMI). Penerapan IoT dapat memberikan nilai atribut secara real time sehingga hasil peramalan diperoleh secara cepat. Hasil peramalan permintaan bantuan logistik menunjukkan MAPE di bawah 20%, sehingga dikategorikan sebagai hasil peramalan yang baik dan akurat.

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The demand forecasting of emergency logistic relief is a premise and basis for optimal emergency distribution after earthquake. Accurate and efficient demand forecast will prevent stock-out, save time, and ensure every victims get the critical supplies to reduce their suffering and save their life. This paper aims to design demand forecasting model of emergency logistic relief after earthquake. Case-based Reasoning (CBR) method supported by Internet of Things (IoT) is applied to develop the model. This paper uses eartquake incident which struck North Lombok regency in 2018 as target case.

The demand forecasting result is obtained based on the historical case that are the most similar to the target case. The similarity is determined by six attributes: earthquake magnitude, depth of hypocenter, epicentrum distance, total affected population, duration of response phase (day), and modified marcelli intensity (MMI). IoT supports the model to acquire real-time attributes value when earthquake occurs so the forecasting result will be obtained quickly. From the target case, the results shows overall forecast error lower than 20% and open the door for conducting emergency logistic relief demand forecast with quantitative and qualitative approach."

"Berdasarkan data yang bersumber dari Badan Pusat Statistik (BPS) tahun 2020, dari 25.504 desa di Indonesia yang mengalami bencana pada tahun sebelumnya, hanya 49,96% desa yang memiliki mitigasi bencana. Idealnya semakin tinggi tingkat kerawanan bencana desa, semakin tinggi juga kemungkinan suatu desa memiliki fasilitas mitigasi bencana yang memadai. Wilayah rawan bencana perlu memprioritaskan upaya mitigasi bencananya. Penelitian ini bertujuan untuk menganalisis variabel-variabel yang mempengaruhi mitigasi bencana desa pasca bencana terjadi di Indonesia. Data penelitian diperoleh berdasarkan hasil Survei Perkembangan Desa Tahun 2020 yang diolah menggunakan regresi Ordinary Least Square (OLS) pada aplikasi STATA / IC 16.1 dan menggunakan analisis deskriptif. Hasil penelitian menunjukan bahwa jumlah kejadian bencana, jumlah jenis kejadian bencana, dan lokasi desa yang mengalami bencana berpengaruh positif dan signifikan terhadap upaya mitigasi bencana desa. Hasil regresi semua variabel bebas secara bersama-sama memiliki tingkat signifikansi pengaruh yang tinggi terhadap upaya mitigasi bencana desa. Pemerintah desa, daerah, atau pusat diharapkan mempertimbangkan kedua variabel yang berkaitan dengan kejadian bencana sebelumnya ketika mempersiapkan mitigasi bencana desa dan rencana kontinjensi.

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Based on data sourced from the Indonesian Central Statistics Agency (BPS) in 2020, of the 25,504 villages in Indonesia that experienced a disaster in the previous year, only 49.96% of villages had disaster mitigation. Theoretically, the higher the level of village disaster vulnerability, the higher the possibility that a village will have adequate disaster mitigation facilities. Disaster-prone areas need to prioritize their disaster mitigation. The research aims to analyze the variables that influence village disaster mitigation after a disaster occurs in Indonesia. This study uses a quantitative approach. Research data was obtained based on the results of the 2020 Village Development Survey which was processed using Ordinary Least Square (OLS) regression on the STATA / IC 16.1 application and using descriptive analysis. The research results show that the number of disasters, the number of disaster types, and the village location individually have a positive and significant effect on village disaster mitigation. The regression results of all independent variables together have a high level of significance in influencing village disaster mitigation. village, regional, or central governments are expected to consider factors related to previous disaster events when preparing village disaster mitigation and contingency plans."

"The Multi Donor Fund for Aceh and Nias (MDF) and the Java Reconstruction Fund (JRF) have played significant roles in the remarkable recovery of Aceh, Nias and Java, following some of the worst disasters in Indonesia in recent years. The MDF and the JRF, which is patterned after it, are each considered a highly successful model for post-disaster reconstruction. This paper presents the lessons from the MDF and JRF's use of large-scale, government-implemented community driven development programs to deliver reconstruction at the village level in Aceh, Nias and Java. It documents how local level recovery using a community driven approach can result in not only cost effective physical outputs, but also empowered communities with greater capacities and more prepared to face future disasters. The MDF and JRF experiences have demonstrated many less tangible social benefits. These include faster social recovery from the impact of disasters and increased confidence and capacities of local actors to engage in local level planning. Most importantly, the community driven approach to reconstruction empowers victims of natural disaster to become key agents in their own recovery. "

"The Multi Donor Fund for Aceh and Nias (MDF) and the Java Reconstruction Fund (JRF) have played significant roles in the remarkable recovery of Aceh, Nias and Java, following some of the worst disasters in Indonesia in recent years. The MDF and the JRF, which is patterned after it, are each considered a highly successful model for post-disaster reconstruction. This paper discusses the value of a phased approach to post-disaster reconstruction as a successful means to manage short-term expectations while delivering long-lasting, results of high quality. The natural disasters of late 2004 and early 2005 left a trail of human loss and destruction in Aceh and Nias. In such a scenario, capacity building efforts related to individual and community level investments yielded large returns. Aceh and Nias have emerged from the reconstruction experience in a better position to address these challenges as a result of the capacity building achieved through the recovery process."

"The Multi Donor Fund for Aceh and Nias (MDF) and the Java Reconstruction Fund (JRF) have played significant roles in the remarkable recovery of Aceh, Nias and Java, following some of the worst disasters in Indonesia in recent years. The MDF and the JRF, which is patterned after it, are each considered a highly successful model for post-disaster reconstruction. This paper discusses the value of a phased approach to post-disaster reconstruction as a successful means to manage short-term expectations while delivering long-lasting, results of high quality. The natural disasters of late 2004 and early 2005 left a trail of human loss and destruction in Aceh and Nias. There was huge pressure on all actors involved in the reconstruction process to act fast and get projects ready for implementation. The MDF adopted a phased approach to the reconstruction. The implementation of nearly all projects in the roads sub-sector was fully satisfactory, with positive economic benefits attributable to the various projects. Most of the projects under the MDF infrastructure portfolio placed significant emphasis on capacity building to enhance the sustainability of assets created. The MDF's experience in implementing its large-scale infrastructure program offers many lessons for future reconstruction efforts in similar contexts in Indonesia elsewhere."