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Bencana alam merupakan kejadian yang sering melanda Indonesia. DKI Jakarta, Ibukota Indonesia, juga tidak terhindar dari terjadinya bencana alam. Namun secara sisi anggaran, DKI Jakarta masih memiliki prioritas lain di luar kegiatan penanggulangan bencana. Salah satu dampak yang terjadi karena bencana alam adalah banyaknya korban yang membutuhkan pelayanan kesehatan berupa respon lapangan. Pelayanan kesehatan ini seringkali tidak memadai. Hal tersebut menimbulkan butuhnya posko kesehatan yang ditempatkan di lokasi yang dapat diakses serta memadai kebutuhan korban dengan batasan anggaran. Facility Location Problem merupakan model optimasi yang dapat digunakan untuk memilih lokasi posko kesehatan. Model optimasi dibuat menggunakan Gurobi untuk Python, dan mendapatkan hasil berupa titik-titik lokasi posko kesehatan yang optimal. Penelitian ini juga menemukan beberapa kekurangan yang dapat dikembangkan dalam penelitian selajutnya.

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Indonesia is a country that is often hit by natural disasters. DKI Jakarta, Indonesia’s capital doesn’t stray from this trend. In terms of budgeting, DKI Jakarta has other priorities besides disaster relief. One of the impacts of natural disasters are the emergence of victims that need accessible health services. Often times, these health services are inadequate. These two points, budget and inadequacy, increase the demand for accessible relief shelters that can be deployed within a certain budget. Gurobi for Python is used to model a Facility Location Problem that meets these criteria. An optimal solution is found using said model. However, there are some shortcomings of the current model that can be improved in a future research.

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"Indonesia merupakan negara yang paling rawan bencana alam di dunia. Setiap orang yang menjadi korban bencana dan mengungsi berhak mendapatkan bantuan pemenuhan kebutuhan dasar yang dikoordinasi oleh Badan Nasional Penanggulangan Bencana (BNPB). Distribusi bantuan tersebut menyangkut hajat hidup orang banyak, sehingga kecepatan dan akuntabilitas sangat dibutuhkan dalam proses penyelenggaraannya. Pada kenyataannya, penyelenggaraan distribusi bantuan saat ini masih mengalami berbagai masalah seperti proses yang lama yang menyebabkan atrian panjang korban, pendataan yang berulang, data dalam bentuk kertas fisik yang tidak akuntabel, dan kurangnya koordinasi perihal data korban bencana. Penelitian ini bertujuan untuk merancang perbaikan distribusi bantuan bencana dengan memanfaatkan internet of Things (IoT). Pendekatan business process reengineering (BPR) digunakan untuk mendesain ulang proses distribusi bencana saat ini. Dalam mendesain sistem informasi, metode yang digunakan dalam penelitian ini yaitu structured system development dengan Entity-Relationship Diagram (ERD) dan Data Flow Diagram (DFD). Penelitian ini menghasilkan pengurangan waktu distribusi bantuan bencana hingga 68,4% dan rancangan sistem distribusi bantuan bencana yang lebih akuntabel.

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..Indonesia is one of the world's most disaster-prone countries. Everyone who is a victim of disaster and being displaced due to disaster has the right to get assistance in meeting their basic needs coordinated by the National Disaster Management Agency (BNPB). The relief distribution concerns the livelihoods of many people, so that speed and accountability are critical to the process of disaster relief distribution. In fact, the implementation of relief distribution is still experiencing various problems such as long processes that cause long queue of victims, repeated data collection, unaccountable data in the form of physical paper, and lack of coordination regarding data on disaster victims. This study aims to design improvement in disaster relief distribution by utilizing the Internet of Things (IoT). Business process reengineering (BPR) approach is used to redesign business process of the disaster relief distribution. The method used in this study is a structured system development approach with Entity-Relationship Diagram (ERD) and Data Flow Diagram (DFD). This study resulted in a reduction of disaster relief distribution time by 68.4% and a more accountable disaster relief distribution process."

"[Meningkatnya pemanfaatan teknologi infomasi dan komunikasi TIK di lingkungan Kementerian Komunikasi dan Informatika Kemkominfo menuntut ketersediaan layanan TIK yang diberikan seperti aplikasi persuratan dan aplikasi perkantoran Untuk itu Kemkominfo harus semakin menyadari akan pentingnya fungsi TIK sebagai salah satu aset penting yang harus dijaga keberlangsungannya. Salah satu cara yang dapat dilakukan adalah dengan menyusun Disaster Recovery Planning DRP. DRP diperlukan untuk meminimalkan dampak risiko dan mengoptimalkan proses pemulihan bila terjadi sesuatu yang menyebabkan TIK tidak berfungsi sebagaimana mestinya. Penelitian ini bertujuan menyusun rencana kontingensi untuk Kemkominfo dengan menggunakan standar yang dikeluarkan NIST. NIST SP 800 34 Rev 1 Framework ini mempunyai beberapa tahapan yang harus dilakukan hingga menghasilkan rencana kontingensi yang sesuai dengan kondisi organisasi. Dalam membuat rencana kontingensi perlu melakukan dampak analisis bisnnis sehingga dari sana dapat ditentukan tingkat kritikal sistem informasi yang ada Hasil yang didapat dari penelitian ini berupa usulan rencana kontingensi sebagai masukan untuk Kemkominfo.

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The increasing use of information and communication technology ICT in the Ministry of Communications and Information Technology Kemkominfo requires the availability of ICT services provided such as mailing applications and office applications. Therefore Kemkominfo should be aware with the importance of ICT functions as one of the most important assets that must be kept maintained especially to overcome the effects of disasters which possibly occur in Indonesia. Therefore MCIT needs to establish a solid Disaster Recovery Planning DRP. DRP is important to minimize the impact of risk and to optimize the recovery process if something cause ICT not to work properly.

The purpose of this research is to develop a contingency plan for Kemkominfo using standards issued by NIST NIST SP 800 34 Rev 1 This framework has several steps that should be done to produce a contingency plan that appropriate with the conditions of the organization In the making of contingency plan it is needed to perform business impact analysis so that we can determine the priority level of critical information systems The results of this research is a proposed contingency plan to Kemkominfo.;The increasing use of information and communication technology ICT in the Ministry of Communications and Information Technology Kemkominfo requires the availability of ICT services provided such as mailing applications and office applications Therefore Kemkominfo should be aware with the importance of ICT functions as one of the most important assets that must be kept maintained especially to overcome the effects of disasters which possibly occur in Indonesia Therefore MCIT needs to establish a solid Disaster Recovery Planning DRP DRP is important to minimize the impact of risk and to optimize the recovery process if something cause ICT not to work properly The purpose of this research is to develop a contingency plan for Kemkominfo using standards issued by NIST NIST SP 800 34 Rev 1 This framework has several steps that should be done to produce a contingency plan that appropriate with the conditions of the organization In the making of contingency plan it is needed to perform business impact analysis so that we can determine the priority level of critical information systems The results of this research is a proposed contingency plan to Kemkominfo , The increasing use of information and communication technology ICT in the Ministry of Communications and Information Technology Kemkominfo requires the availability of ICT services provided such as mailing applications and office applications Therefore Kemkominfo should be aware with the importance of ICT functions as one of the most important assets that must be kept maintained especially to overcome the effects of disasters which possibly occur in Indonesia Therefore MCIT needs to establish a solid Disaster Recovery Planning DRP DRP is important to minimize the impact of risk and to optimize the recovery process if something cause ICT not to work properly The purpose of this research is to develop a contingency plan for Kemkominfo using standards issued by NIST NIST SP 800 34 Rev 1 This framework has several steps that should be done to produce a contingency plan that appropriate with the conditions of the organization In the making of contingency plan it is needed to perform business impact analysis so that we can determine the priority level of critical information systems The results of this research is a proposed contingency plan to Kemkominfo ]"

"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."

"Latar Belakang: Negara Indonesia secara keseluruhan berada pada posisi rawan terjadinya bencana. Pada saat bencana semua fasilitas kesehatan berada pada garis depan penanganan korban kegawatdaruratan. Berdasarkan data yang dirangkum dari BNPB dari tahun 2009 s/d 2018 ditemukan jumlah angka kerusakan yang cukup siginifikan pada fasilitas kesehatan akibat bencana. Penelitian ini bertujuan untuk melihat kesiapsiagaan rumah sakit dalam menghadapi bencana. Metode: Metode penelitian ini menggunakan Hospital Safety Index yang dikeluarkan oleh WHO dan PAHO adalah alat penilaian kesiapsiagaan rumah sakit. Lokasi penelitian di Rumah sakit X berada di Provinsi DKI Jakarta merupakan rumah sakit Tipe A dengan pelayanan terlengkap, selain sebagai tempat rujukan nasional juga sebagai rumah sakit pendidikan. Berdasarkan data dari BNPB, Provinsi DKI Jakarta termasuk daerah yang berisiko terkena bencana tingkat sedang. Hasil : Berdasarkan 3 (tiga) kriteria penilaian Hospital Safety Index pada penelitian ini didapatkan hasil : nilai kesiapsiagaan struktural sebesar 0,86, nilai kesiapsiagaan non struktural sebesar 0,96, serta nilai kesiapsiagaan manajemen kegawat daruratan dan bencana sebesar 0,73. Kesimpulan: Secara keseluruhan nilai kesiapsiagaan pada rumah sakit X sebesar 0,86, termasuk pada Tipe A yang berarti tingkat kesiapsiagaan rumah sakit X sudah siap dalam keadaan darurat dan bencana. Namun pada kesiapsiagaan manajemen kegawat daruratan dan bencana masih perlu perbaikan dan penyempurnaan.

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Introduction: The country of Indonesia as a whole is in a position prone to disasters. During a disaster, all health facilities are at the forefront of handling emergency victims. Based on data summarized from BNPB from 2009 to 2018, the number of damage figures was quite significant in health facilities due to the disaster.

Methode: The Hospital Safety Index issued by WHO and PAHO is a disaster assessment and hospital emergency tool. X Hospital is a Type A hospital with the most complete services, besides being a national reference place as well as a teaching hospital in the DKI Jakarta Province. Based on data from BNPB, DKI Jakarta Province includes areas that are at risk of being hit by a disaster.

Results: Based on three Hospital Safety Index assessment criteria, the results show that the structural preparedness value, non-structural preparednes value, and emergency management and disaster preparedness values was cited at 0.86 , 0,96, and 0.73 respectively.

Conclution: Overall the value of preparedness in hospital X is 0.86. It is categorized as Type A, which means that the level of preparedness for X hospitals is ready in emergencies and disasters. However, the emergency and disaster management preparedness still needs improvement and enforcement."

"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. "