scholarly journals Early Warning System Technology Innovation Study in Flood Disaster Mitigation in Aren Village Area Bontang Disability

Author(s):  
Nikita Adriyani ◽  
Rio Jumardi ◽  
Al Rosyid Anggi Satrya ◽  
Zaini Zaini

<em>AWLR with the application of I Am Aren is been CSR program of PT Pupuk Kaltim that was developed as a flood disaster mitigation in order to be able to minimize the loss of society cause of flooding. Obtaining data used black-box testing techniques, surveys, and interviews which are then analyzed inductively. Respondents involved as many as 40 people for the survey and 20 people for the interview. The research approach used qualitative research. The results showed that the black-box testing for the recording feature was following the procedure and could provide accurate information. Respondents did not undergo problems in the using and the results of the implementation of the tool were able to reduce losses to 74.4% from the previous loss.</em>

Pondasi ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 67
Author(s):  
Fakhryza Nabila Hamida ◽  
Hasti Widyasamratri

ABSTRACTIndonesia is an area prone to landslides. The occurrence of this landslide disaster can cause a large impact such as damage and loss both material and non-material. The availability of complete and accurate information in controlling land use in landslide prone areas in the development of an area becomes very important in minimizing the loss of life and losses, both physical, social and economic. This information must be disseminated to the community as an early warning system in disaster mitigation efforts. Identification of the characteristics of landslide prone areas requires a risk mapping of landslide prone areas in efforts to mitigate disasters can be done using Geographic Information Systems (GIS). The results in this study indicate the need to identify disaster risk in detail because basically, an area threatened by disaster does not necessarily mean that each community has the same level of disaster risk. Mapping can be done by clustering or by identifying each building in a vulnerable area based on the level of risk of landslides. Keywords: risk analysis, landslides, disaster mitigation, GIS ABSTRAKIndonesia merupakan wilayah yang rawan terhadap bencana longsor. Terjadinya bencana longsor ini dapat menyebabkan dampak yang besar seperti kerusakan dan kerugian baik materiil maupun non materiil. Tersedianya informasi yang lengkap dan akurat dalam pengendalian pemanfaatan lahan di kawasan rawan bencana longsor dalam pengembangan suatu wilayah menjadi hal yang sangat penting dalam meminimalisir adanya korban jiwa dan kerugian-kerugian baik fisik, sosial maupun ekonomi. Informasi tersebut harus disebarkan kepada masyarakat sebagai sistem peringatan dini dalam upaya mitigasi bencana. Identifikasi karakteristik daerah rawan longsor diperlukan sebuah pemetaan risiko kawasan rawan longsor dalam upaya mitigasi bencana dapat dilakukan menggunakan Sistem Informasi Geografis (SIG). Hasil dalam penelitian ini menunjukkan perlunya identifikasi risiko bencana secara detail karena pada dasarnya, suatu kawasan yang terancam bencana belum tentu tiap masyarakatnya mempunyai tingkat risiko bencana yang sama. Pemetaan dapat dilakukan dengan pengklusteran maupun dengan identifikasi setiap bangunan dalam kawasan rawan berdasarkan tingkat risiko terhadap bencana tanah longsor.Kata Kunci: analisis risiko, tanah longsor, mitigasi bencana, GIS


2020 ◽  
Vol 5 (1) ◽  
pp. 61
Author(s):  
Vadlan Febrian ◽  
Muhamad Rizki Ramadhan ◽  
Muhammad Faisal ◽  
Aries Saifudin

In this employee payroll application, if there is an error program there will be a loss for employees and the company. Losses for employees, if this application program error occurs then the salary reduction will experience delays due to the difficulty in the process of calculating employee salaries and employees will be late in receiving salaries. Losses for the company, if there is an error program in this application, the company will suffer losses if the employee wants a salary reduction quickly but the company cannot calculate quickly and accurately. In solving this problem, the authors use the black box testing method. Black box testing method is a test that sees the results of execution through test data and ensures the function of the software. Black box testing method has several testing techniques, namely Sample Testing, Boundary Value Analysis, Equivalence Partitions and others. From the testing techniques that have been mentioned, we use the Equivalence Partitions testing technique. Equivalence Partitions are tests that refer to data entry on the employee payroll application form, input will be tested and then put together based on the test function, both valid and invalid values. The expected results of this test are a payroll system for employees who are computerized, have standard rules in the process of developing the program so that it is easy to develop and maintain, and can minimize errors in processing salary calculations for employees.


Author(s):  
S. Enferadi ◽  
Z. H. Shomali ◽  
A. Niksejel

AbstractIn this study, we examine the scientific feasibility of an Earthquake Early Warning System in Tehran, Iran, by the integration of the Tehran Disaster Mitigation and Management Organization (TDMMO) accelerometric network and the PRobabilistic and Evolutionary early warning SysTem (PRESTo). To evaluate the performance of the TDMMO-PRESTo system in providing the reliable estimations of earthquake parameters and the available lead-times for The Metropolis of Tehran, two different approaches were analyzed in this work. The first approach was assessed by applying the PRESTo algorithms on waveforms from 11 moderate instrumental earthquakes that occurred in the vicinity of Tehran during the period 2009–2020. Moreover, we conducted a simulation analysis using synthetic waveforms of 10 large historical earthquakes that occurred in the vicinity of Tehran. We demonstrated that the six worst-case earthquake scenarios can be considered for The Metropolis of Tehran, which are mostly related to the historical and instrumental events that occurred in the southern, eastern, and western parts of Tehran. Our results indicate that the TDMMO-PRESTo system could provide reliable and sufficient lead-times of about 1 to 15s and maximum lead-times of about 20s for civil protection purposes in The Metropolis of Tehran.


2020 ◽  
Vol 5 (2) ◽  
pp. 124-154
Author(s):  
Novi Febriyanti

The health of a bank based on sharia principles is in the interest of all parties involved, including the owner, bank management, public users of bank services, Bank Indonesia as the bank supervisory authority and other parties. The following article aims to discuss the principles of Sharia prudential banking through an early warning system (EWS) that Islamic banks usually apply. The research method used is qualitative with a field research approach and literature study with data collection techniques through observation, interviews and documentation. The results show that the application of an early warning measurement system for Islamic banks can be calculated using several indicators, namely including return on equity (ROE), return on assets (ROA), financing to deposit ratio (FDR), non-performing finance (NPF) and ratios. operating costs and operating income (BOPO). This is implemented to reduce the level of problematic financing caused by two factors, namely internal factors (the banking sector), namely the lack of maintenance that has been determined, accuracy in business analysis, understanding of the necessary needs, inclusion of sound policy requirements and pursuing targets. External factors (debtors) are natural disasters, decreased business, collateral, increased competition for business types, low education levels and family factors.


2020 ◽  
Vol 3 (1) ◽  
pp. 9
Author(s):  
Andri Ricat Sinulingga ◽  
Muhammad Zuhri ◽  
Rizky Budi Mukti ◽  
Zia Syifa ◽  
Aries Saifudin

Software that contains defects (errors) can cause harm. Losses caused can affect all stakeholders. Losses can take the form of financial, time, and others. So before the software is implemented it needs to be tested. Testing on an application aims to check whether a program is running properly or not. In testing this software will use Blackbox Testing. Black Box Testing Method consists of several techniques, including Equivalence Partitions, Boundary Value Analysis, Sample Testing, and so on. Among the many testing techniques, in this study the testing technique was chosen using Equivalence Partitions. Equivalence Partitions technique is a test based on data input on each form in the performance data information application system, each menu input will be tested and grouped according to function whether it is valid or invalid. Testing is done on 4 forms that will be filled with data form added jobdesk, form added work targets, form edit work targets, form approve work targets, and employee performance while in the company. The test results show that there are still many shortcomings when validating data to be entered, so that it can cause data stored in the database to be incompatible with the expected data. The results of this test can be used as input to improve the application of performance data for the future.


ELKHA ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 113
Author(s):  
Hasbi Nur Prasetyo Wisudawan

Disaster occurrence in Indonesia needs attention and role from all parties including the community to reduce the risks.  Disaster mitigation is one of the ways to reduce the disaster risk through awareness, capacity building, and the development of physical facilities, for example by applying disaster mitigation technology (early warning system, EWS). EWS is one of the effective methods to minimize losses due to disasters by providing warning based on certain parameters for disasters which usually occur such as floods. This research promotes a real-time IoT-based EWS flood warning system (Flood Early Warning System, FEWS) using Arduino and Blynk as well as Global System for Mobile Communication network (GSM) as the communication medium. The steps for implementing FEWS system in real locations are also discussed in this paper. Parameters such as water level, temperature, and humidity as well as rain conditions that are read by the EWS sensor can be accessed in real-time by using android based Blynk application that has been created. The result of the measurement of average temperature, humidity, and water level were 28.6 oC, 63.7 %, and 54.5 cm. Based on this analysis, the parameters indicated that the water level is in normal condition and there are no signs indicating that there will be flooding in the 30 days observation.  Based on the data collected by the sensor, FEWS can report four conditions, namely Normal, Waspada Banjir (Advisory), Siaga Banjir (Watch), and Awas Banjir (Warning) that will be sent immediately to the Blynk FEWS application user that has been created.


2020 ◽  
Vol 4 (2) ◽  
pp. 109
Author(s):  
Rinny Asasunnaja ◽  
Khairan AR AR ◽  
Rahmat Musfikar

This research is motivated by the number of drug cases in Indonesia, so that the number of users in 2017 reached 3,376,115 users in the 10-59 years age group. This is a very serious problem, and to prevent this from becoming a more serious problem it is recommended that parents, neighbors and relatives need to take the first step by identifying drug users through their characteristics. This study aims to build an expert system to diagnose the characteristics of drug users using the forward chaining method. The research method used is Research & Development and for system testing using black box testing techniques. Then the user acceptance of the system is tested and the results obtained are positive responses with a percentage rate of 86%, which means that the expert system that is designed is very feasible so that it can provide convenience.


2020 ◽  
Vol 5 (1) ◽  
pp. 73
Author(s):  
Dekif Ahrizal ◽  
Maula Khaerul Miftah ◽  
Romi Kurniawan ◽  
Teguh Zaelani ◽  
Yulianti Yulianti

Testing on an application aims to check whether a program has run properly or there are still errors that must be corrected so that the program created will be a program that has good quality. In this study the software that will be reviewed using Black Box Testing is a PlayStation Loan Information Application System where this application aims to facilitate the admin (PlayStation rental) in data collection on the number of borrowers, as well as the return date of PlayStation borrowed by members, where there are 2 forms to be filled in. Member added data form, game added form during the loan. lending data information applications will be tested using Black Box Testing where this test only aims to see the program whether in accordance with the expected function or not without knowing the program code used. Black Box Testing Method consists of several techniques, including Equivalence Partitions, Boundary Value Analysis, Sample Testing, and so on. Among the many testing techniques, in this study the testing technique was chosen using Boundary Value Analysis. Boundary Value Analysis Techniques, are software testing techniques in which tests are designed to include representatives of boundary values in a range.


2009 ◽  
Vol 4 (4) ◽  
pp. 529-529
Author(s):  
Masato Motosaka

Japan and many other counties face the risk of the natural disaster such as earthquakes, tsunamis, and floods. Natural disaster mitigation research and development are providing important, practical applications based on the development of the scientific technology. One major contribution is early warning system, being backed by observation and communication technology progress. Early warning research and development have been extensively studied domestically and internationally. Specifically, recent developments in earthquake engineering research and construction of seismic dense network have made it possible to issue earthquake warnings before the arrival of severe shaking. Such warnings enable emergency measures to be taken to protect lives, buildings, infrastructure, and transport from earthquake depredations. One such system went into practical use nationwide in Japan starting on October 1, 2007. Development has been conducted with cooperation of government, academic community and non-government, and private organizations. This special issue features papers on the early warning system for the natural disastermitigation covering issues ranging from natural science to social science. The recent developed earthquake early warning technology and its applications will be introduced. Besides earthquakes, the recent early warning technology for tsunami and flood are also included in this issue. The warning time available for tsunami and flood is much longer than that for earthquakes, and the contribution of numerical calculation using the real-time observation data differs with the type of disaster. Finally I would like to express my deepest gratitude for anonymous reviewers of papers in this special issue.


Sign in / Sign up

Export Citation Format

Share Document