PENERAPAN ALGORITMA K-MEANS UNTUK PENGELOMPOKAN DAERAH RAWAN BENCANA DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 1-10
Author(s):  
Amril Mutoi Siregar
Keyword(s):  
Natural Disasters ◽  
Accurate Data ◽  
Disaster Victims ◽  
Central Java ◽  
North Sulawesi ◽  
Natural Beauty ◽  
Or Groups ◽  
Disaster Data ◽  
The Government ◽  
Almost All

Indonesia is a country located in the equator, which has beautiful natural. It has a mountainous constellation, beaches and wider oceans than land, so that Indonesia has extraordinary natural beauty assets compared to other countries. Behind the beauty of natural it turns out that it has many potential natural disasters in almost all provinces in Indonesia, in the form of landslides, earthquakes, tsunamis, Mount Meletus and others. The problem is that the government must have accurate data to deal with disasters throughout the province, where disaster data can be in categories or groups of regions into very vulnerable, medium, and low disaster areas. It is often found when a disaster occurs, many found that the distribution of long-term assistance because the stock for disaster-prone areas is not well available. In the study, it will be proposed to group disaster-prone areas throughout the province in Indonesia using the k-means algorithm. The expected results can group all regions that are very prone to disasters. Thus, the results can be Province West java, central java very vulnerable categories, provinces Aceh, North Sumatera, West Sumatera, east Java and North Sulawesi in the medium category, provinces Bengkulu, Lampung, Riau Island, Babel, DIY, Bali, West Kalimantan, North Kalimantan, Central Sulawesi, West Sulawesi, Maluku, North Maluku, Papua, west Papua including of rare categories. With the results obtained in this study, the government can map disaster-prone areas as well as prepare emergency response assistance quickly. In order to reduce the death toll and it is important to improve the services of disaster victims. With accurate data can provide prompt and appropriate assistance for victims of natural disasters.

scholarly journals Kontribusi dan Motivasi Keluarga Korban Bencana Sigi dalam Beternak Ayam KUB Bantuan BALITBANGTAN

2020 ◽  
Vol 4 (1) ◽  
pp. 34-41
Author(s):  
Mardiana Dewi ◽  
Masyitah Muharni ◽  
Wardi Wardi ◽  
Heni Sulistyawati Purwaning Rahayu
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Household Income ◽  
Agricultural Land ◽  
Recovery Phase ◽  
Agricultural Technology ◽  
Scoring Method ◽  
Disaster Victims ◽  
The Government ◽  
Central Sulawesi

The natural disasters of the earthquake, liquefaction, and tsunami that occurred on September 28,2018 in Palu, Sigi, and Donggala have caused damage and even loss of residence and property ofthe people in the region. Agricultural land which was a source of livelihood could not be reused.During the recovery phase in the aftermath of natural disasters, the government andhumanitarian agencies could rebuild facilities and infrastructure including the economy ofdisaster victims. Central Sulawesi Assessment Institute for Agricultural Technology (AIAT)participated in the socio-economic recovery of natural disaster victims in Sigi Regency through thedevelopment of superior BALITBANGTAN (KUB) chicken based on native households in temporaryshelters in Jono Oge Village, Sigi Regency. The purpose of this study was to determine thecontribution and motivation of Sigi disaster victims in raising KUB chickens based on households.The contribution of raising KUB chicken was calculated from the percentage of KUB chicken tototal household income while motivation was measured by the scoring method using a Likert scale.Based on the results of the assessment, it was concluded that the income of victims of naturaldisasters at the Jono Oge Village in Sigi Regency had contribution contribution of raising KUBchickens based on households was 8.08% categorized at <Rp1,500,000.00 and 4.21% categorize atRp1,500,000.00 - Rp2,500,000.00. The motivation of natural disaster victims for raising KUBchickens was on the ease of sales and maintenance.

Fatal Work Injuries Involving Natural Disasters, 1992–2006

2009 ◽  
Vol 3 (4) ◽  
pp. 201-209 ◽  
Author(s):  
Gregory M. Fayard
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Preparedness ◽  
Large Scale ◽  
Expert Knowledge ◽  
Occupational Injuries ◽  
Motor Vehicles ◽  
Disaster Data ◽  
The Government ◽  
Classification Structure

ABSTRACTObjective: Although a goal of disaster preparedness is to protect vulnerable populations from hazards, little research has explored the types of risks that workers face in their encounters with natural disasters. This study examines how workers are fatally injured in severe natural events.Methods: A classification structure was created that identified the physical component of the disaster that led to the death and the pursuit of the worker as it relates to the disaster. Data on natural disasters from the Census of Fatal Occupational Injuries for the years 1992 through 2006 were analyzed.Results: A total of 307 natural disaster deaths to workers were identified in 1992–2006. Most fatal occupational injuries were related to wildfires (80 fatalities), hurricanes (72 fatalities), and floods (62 fatalities). Compared with fatal occupational injuries in general, natural disaster fatalities involved more workers who were white and more workers who were working for the government. Most wildfire fatalities stemmed directly from exposure to fire and gases and occurred to those engaged in firefighting, whereas hurricane fatalities tended to occur more independently of disaster-produced hazards and to workers engaged in cleanup and reconstruction. Those deaths related to the 2005 hurricanes occurred a median of 36.5 days after landfall of the associated storm. Nearly half of the flood deaths occurred to passengers in motor vehicles. Other disasters included tornadoes (33 fatalities), landslides (17), avalanches (16), ice storms (14), and blizzards (9).Conclusions: Despite an increasing social emphasis on disaster preparation and response, there has been little increase in expert knowledge about how people actually perish in these large-scale events. Using a 2-way classification structure, this study identifies areas of emphasis in preventing occupational deaths from various natural disasters. (Disaster Med Public Health Preparedness. 2009;3:201–209)

Notes on Ethnic Factors Related to Development in Sulawesi, Indonesia

1982 ◽  
Vol 10 (1) ◽  
pp. 116-123 ◽  
Author(s):  
Tim G. Babcock
Keyword(s):  
International Development ◽  
International Aid ◽  
Public Works ◽  
Government Officials ◽  
Canadian International Development Agency ◽  
North Sulawesi ◽  
Cultural Life ◽  
The Government ◽  
Ethnic Factors ◽  
Almost All

AbstractThe island (more accurately, islands) of Sulawesi is a large and important part of Indonesia1 which certainly deserves more studies of its peoples and resources than is currently the case. These short notes provide some recent information on ethnicity and development in Sulawesi, and are presented mainly as problems that should concern future researchers and planners working in the area. Since the beginning of 1974 I have spent four and half years in Sulawesi, first studying the descendants of Javanese and other exiles in North Sulawesi. Later, I served as consultant anthropologist to the Sulawesi Regional Development Study, a project supported by the Canadian International Development Agency and the Indonesian Department of Public Works.2 During the latter project I visited almost all the kabupaten or administrative subdivisions of the four provinces of Sulawesi. Although the nature of the project did not allow for in-depth research, many problems related to ethnicity and development soon became apparent. Many of the government and secondary reports on the region collected during the study revealed a lack of concern for such issues. It is therefore all the more important that a brief outline of ethnic groups in Sulawesi be presented. The second major reason for these notes is the fact that Sulawesi, along with the other "Outer Islands", is receiving increasing amounts of national and international aid to carry out a wide variety of development projects for its people. It is therefore important that scholars and government officials should be aware of the effects of these projects and to establish how to go about studying them so as not to destroy the socio-cultural life of the Sulawesi people.

scholarly journals EFEKTIVITAS PAKET PENGENDALIAN RESIKO PENYIMPANGAN IKLIM DI JAWA TENGAH(THE EFFECTIVENESS OF THE CLIMATE CHANGE RISK MANAGEMENT SCHEME IN CENTRAL JAVA)

Agromet ◽  
2009 ◽  
Vol 23 (2) ◽  
pp. 93
Author(s):  
. Sarjana ◽  
Meinarti Norma ◽  
Seno Basuki
Keyword(s):  
Climate Change ◽  
Local Governments ◽  
Climate Changes ◽  
Central Java ◽  
Management Scheme ◽  
Climate Change Risks ◽  
The Government ◽  
Almost All ◽  
Water Pumps ◽  
The Impact

This paper is summary report of study on implementation of local government designed strategies to anticipate and manage the climate change risks in Central Java. The basis of information obtained from interviews to farmers. In general, planting patterns follow schedule of water availability; therefore, farmers are more interested in talking about the lack of water compared with the excess water. According to farmers' language, climate change is the rainy season retreat. In this context, almost all respondents stated that the climate changes disrupt their farming activities. These disorders include reduction of production, planting schedule delays, increased costs of irrigation, seeds, pesticides and land management. Local agricultural agencies have been disseminating strategies to anticipate and manage the risks of climate change. Those strategies are planting reschedules, changing varieties or commodities, and improving the water management. Local governments also facilitate the implementation of those strategies, namely distribution of water pumps, and seeds according to climate prediction, and repair or construction of irrigation channels and reservoirs. Most respondents (59%) had never directly followed those socialization activities, and due to limited of the distributed facilities, only 29.87% of respondents enjoyed such facilities. However, the recipient stated that the government facilities effectively assist them in controlling the impact of climate change, and most farmers had committed the management of climate changes impacts in a manner consistent with the recommended strategy. These results show that both government assistance and collective action by farmers had the same important role in anticipating and controlling the impact of climate changes. Therefore, the government should socialize recomended strategies in a more intensive, and improve, and expand the reach of distribution facilities to implement the strategy. These efforts would stimulate farmers self-supporting as a whole, so that the programs in anticipating and controlling the impact of climate changes would be more effective.

scholarly journals Disposal Site Selection Using TOPSIS in Wonogiri District Central Java

2018 ◽  
Vol 17 (1) ◽  
pp. 62
Author(s):  
Much. Djunaidi ◽  
Angga Angga ◽  
Eko Setiawan
Keyword(s):  
Local Governments ◽  
Disposal Site ◽  
Waste Disposal Site ◽  
Final Disposal ◽  
Central Java ◽  
Order Preference ◽  
The Government ◽  
Almost All ◽  
Waste Handling

Currently, waste is an important issue faced by almost all countries, including Indonesia, as it can have social and environmental impacts. Waste management needs coordination between local governments and waste-generating communities. The government must provide means of final waste disposal site. At present, Wonogiri District has five disposal sites located in 5 different sub-districts of Pracimantoro, Baturetno, Ngadirojo, Slogohimo and Purwantoro. Determination of alternative final disposal site in Wonogiri District is needed for more effective and optimum waste handling. Using Technique of Order Preference method by Similiary to Ideal Solution (TOPSIS), it is proposed in this article that the Baturetno site is the best alternative for final disposal site compared to the other four sites. This article also proposes a scheme for the further processing of waste into methane gas that can be utilized by the community.

scholarly journals PERANCANGAN SISTEM WAREHOUSE BANTUAN LOGISTIK KORBAN BENCANA ALAM, STUDI KASUS : GUNUNG MERAPI

2016 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Agus Purbayu ◽  
Yuliana Agustiningsih
Keyword(s):  
Natural Disasters ◽  
Needs Analysis ◽  
Literature Study ◽  
Tectonic Plates ◽  
Disaster Victims ◽  
Active Tectonic ◽  
Testing Data ◽  
The Government ◽  
Analysis System ◽  
Very High

<p><em>Indonesia is situated at the confluence of the active tectonic plates, the mountains, and the climate is tropical, so make the most of its territory vulnerable to natural disasters. The number of disaster victims belong to very high compared to other countries. During this process of distribution logistical support from the Government is often less evenly, and the spread of the post often accumulate at some point, while there are still many victims don't get logistical support. Causes less equality the help of, among others, less equality the location information of the victim or the evacuation command post and causing material needs logistical support at each refugee command post.</em></p><p><em> </em></p><p><em>In the design of the system is carried out using several methods including needs analysis, system design, coding and testing. Data collection was done to perform needs analysis system of warehouse logistics assistance. Methods used in the collection of data is to conduct interviews and literature study. The design phase in the form of the design of the user interface of the software can be estimated before it made coding.</em></p><p><em> </em></p><em>The results in the form of a system of warehouse logistics assistance to natural disasters which can handle transaction processing, delivery and acceptance of the demand for goods. The Design of application include manage data items as well as members who are involved in it.</em>

scholarly journals ANALISA METODE DATA MINING PADA PRODUKSI PERIKANAN LAUT YANG DIJUAL DI TEMPAT PERIKANAN IKAN (TPI)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Hanifah Urbach Sari ◽  
Agus Perdana Windarto ◽  
Dedy Hartama
Keyword(s):  
West Kalimantan ◽  
Central Java ◽  
North Sulawesi ◽  
South Sulawesi ◽  
Catchment Areas ◽  
West Sumatra ◽  
The Government ◽  
High Level ◽  
Water Catchment ◽  
North Sumatra

The purpose of this research is that the results of the utilization of fish resources in producing marine fisheries by fishermen can be good using the K-Means clustring method. Data was obtained from the Central Statistics Agency (BPS) and assisted using RapidMiner software. Data used from 2013-2017 consisted of 21 Provinces. With these data can be obtained data with high-level clusters (C1), namely Central Java with production 587002.8 and low-level clusters (C2) provinces of Aceh, North Sumatra, West Sumatra, Bengkulu, Lampung, Bangka Belitung Islands, DKI Jakarta, West Java , DI Yogyakarta, East Java, Banten, Bali, West Nusa Tenggara, West Kalimantan, Central Kalimantan, North Sulawesi, Central Sulawesi, South Sulawesi, Southeast Sulawesi and Gorontalo with a production of 20302.28. This can be input to the government for provinces that have low water catchment areas to be of more concern based on the cluster that has been done.Keywords: K-Means, Sea Fish Production, Clustering, Territory

scholarly journals Pengelompokkan Tingkat Kriminalitas di Indonesia Menggunakan Algoritma Average Linkage

2021 ◽  
pp. 96-104
Author(s):  
Azman Azman ◽  
Anisa Anisa
Keyword(s):  
Criminal Cases ◽  
West Kalimantan ◽  
Central Java ◽  
Linkage Algorithm ◽  
East Kalimantan ◽  
North Sulawesi ◽  
Average Linkage ◽  
Cluster Area ◽  
West Sumatra ◽  
The Government

Crime needs to be analyzed and grouped so that the act does not cause harm either ecologically or psychologically. The statistical method that can be used to classify crime is the Average Linkage Algorithm. The study aims to group and analyze the characteristics of criminal cases in Indonesia. From the results of the analysis, 3 clusters were formed based on the average of each cluster. Cluster 1 consists of Aceh, West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, Kep. Bangka Belitung, Kep. Riau, West Java, Central Java, DI Yogyakarta, East Java, Banten, Bali, West Nusa Tenggara, East Nusa Tenggara, West Kalimantan, Central Kalimantan, South Kalimantan, East Kalimantan, North Sulawesi, Central Sulawesi, South Sulawesi, Southeast Sulawesi, Gorontalo, Maluku, North Maluku and Papua. Cluster 2 consists of North Sumatra while Cluster 3 consists of Metro Jaya. The grouping results are the basis of the government, apparatus, and the community in implementing the handling of criminal acts that occur in each cluster area so that prevention can minimize the losses caused by these crimes.

scholarly journals Reduction of Natural Disaster Risk Through Contingency Plan in Cilacap District

2020 ◽  
Vol 4 (1) ◽  
pp. 35-41
Author(s):  
Rudi SUBIYAKTO
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Action Plan ◽  
Disaster Risk ◽  
Contingency Planning ◽  
Contingency Plan ◽  
Central Java ◽  
Natural Disaster Risk ◽  
The Government ◽  
The Impact

Cilacap Regency is one of the areas that have the highest level of natural disaster vulnerability in Central Java. Various types of disasters have the opportunity to occur and have an impact on the entire region. To anticipate the impact of these potential natural disasters, the district government has issued a contingency plan to reduce the risk of disasters. This study aims to describe how to reduce the risk of natural disasters through contingency planning. The study uses a qualitative approach with the case study method. Data and information obtained through focus group discussions (FGD), interviews, and documentation studies. The informants were determined purposively, coming from elements of the government, private sector, and a community of 25 people. The results of the study illustrate that the role of contingency planning is very important to reduce disaster risk. The contingency plan document clearly contains various guidelines and technical steps taken by stakeholders in anticipating natural disasters. The guidelines for the action plan are supported by techniques that can be easily learned so that the stages of the process of how to anticipate natural disasters can be carried out by anyone. The implementation of a natural disaster risk reduction contingency plan in the Cilacap Regency received support from the implementer, the environment, resources, and disposition. Key words: Contingency Planning, Mitigation, Policy

scholarly journals Analisis Cluster Intensitas Kebencanaan di Indonesia Menggunakan Metode K-Means

2019 ◽  
Vol 2 (2) ◽  
pp. 137
Author(s):  
Hafiz Yusuf Heraldi ◽  
Nabila Churin Aprilia ◽  
Hasih Pratiwi
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Management ◽  
Disaster Response ◽  
Soil Hydrology ◽  
The Third ◽  
Central Java ◽  
The World ◽  
The Government ◽  
Natural Disaster Management

<p>Indonesia is one of the most prone countries to natural disasters in the world because of the climate, soil, hydrology, geology, and geomorphology. There are many different natural disasters, but the three most common natural disasters in Indonesia are flood, landslide, and tornado. This research aimed to cluster the provinces in Indonesia based on the flood, landslide, and tornado’s intensity in 2018. The results of clustering by K-Means method in this research divided the provinces in Indonesia into four clusters. The second cluster contained West Java, Central Java, and Bali, the third cluster contained DKI Jakarta, the fourth cluster contained DI Yogyakarta, and the first cluster contained the other 29 provinces. The result of this research hopefully can help the government in order to make decision and improve the natural disaster management system, such as preparedness, disaster response, and disaster recovery based on the most common disaster in each province. Furthermore, the society is expected to be more aware on natural disaster management based on the most common natural disaster in province that they lived.</p><p><strong>Keywords : </strong>natural disaster, cluster, k-means</p>

Sign in / Sign up

Export Citation Format

Share Document