Fire Safety System BuildingMahbub, P K; Darmawan, C
doi: 10.1088/1757-899X/662/4/042001pmid: N/A
The purpose of this study is to provide information related to the importance of the use the safety system of the building, so the building owners know the system and can apply it to a building that he owned, and also can minimize the extent of damage and loss in the receive if disaster or a fire in the building. This study used literature study about tools and equipment related to fire hazards that must be present in a building and descriptive method with data collection related data from the journal of the problems taken to support this theory as a method. There are three factors of fire handling, namely supervision, prevention and evacuation systems. This research discusses the tools of these three factors. The resulf of this research shows that fire safety system is one of the measures to minimize the loss in the building. With the right equipment, the factors that can cause fires can be detected early with a surveillance system, and can be dealt quickly and precisely, so that losses can be minimized.
Comparison of Forecasting the Number of Outpatients Visitors Based on Naïve Method and Exponential SmoothingBasri K, I; Sumitra, I D
doi: 10.1088/1757-899X/662/4/042002pmid: N/A
This paper aimed to predict outpatient visits from both general and BPJS category based on the Naïve and the Exponential Smoothing method, these two methods are compared to obtain the best method in predicting outpatient visits at XYZ hospitals. The data that were processed in this paper is based solely on the annual data collection over a period of 5 years from 2014-2018 which consists of 2 categories, namely general visit data and BPJS visit data. The annual general category data has the following data amounts: 2014 = 11028, 2015 = 12950, 2016 = 17587, 2017 = 21951, and 2018 = 19049. As for the BPJS visit data, the data as follows 2014 = 16869, 2015 = 14059, 2016 = 14217, 2017 = 13019, and 2018 = 9641. Results of predictions number of outpatient visits from Naïve method on the visit data which is categorized as general has MSE 5191788 and MAPE values of 16.335%, the categorized BPJS has a value of MSE 13165490 and MAPE 19.081%. While the Exponential Smoothing method on the visit data that is categorized as general has MSE 7790587 and MAPE values of 21.808%, BPJS category only having MSE 13165490 and MAPE values of 20.718%. Of the two methods, the method considered better is the Naïve method which has a percentage of MAPE values <20%. It can be concluded that the Naïve method is more suitable for forecasting the number of visits from the general category and BPJS compared to the Exponential Smoothing method because the forecast value and the std err are smaller.
Comparison Of Classification Methods On Sentiment Analysis Of Political Figure Electability Based On Public Comments On Online News Media SitesSigit, K; Dewi, A P; Windu, G; Nurmalasari, ; Muhamad, T; Kadinar, N
doi: 10.1088/1757-899X/662/4/042003pmid: N/A
Elections are an important part of the political process so that not a few figures from political parties begin preparing to participate in the process. Electability is one of the issues of concern, various things are done to be able to increase the electability of political figures who participated in the general election. Media has become one of the important tools used to increase electability, one of which is online news media. News coverage in online news media with its real-time nature will very quickly get comments from readers and can be used as an assessment of political figures in the form of sentiment analysis. However, it is not easy to analyze sentiments from various comments on online news media, because comments that contain text have irregularities, especially in Indonesian texts. Text mining is one way that can be used to overcome this. Pre-processing of text in text mining is an important part of getting basic information contained in comments. This study uses the Indonesian text pre-processing using the Gata text-mining framework. Then proceed with extracting more in-depth information using the Naïve Bayes classification method and Support Vector Machine which is optimized using Particle Swarm Optimization. The tests carried out with both methods get the results that, the Particle Swarm Optimization based Support Vector Machine method is the best method in the process of classifying sentiments analysis of political figures with an accuracy of 78.40% and AUC 0.850. The results of this study get an effective algorithm in classifying positive and negative comments related to political figures from online news media.
Simulation of First Level Health Care Facilities to Reduce Patient Flow TimeSantosa, A; Sagathi, M; Situmorang, M R
doi: 10.1088/1757-899X/662/4/042004pmid: N/A
This paper presented research on the simulation of first-level health care facilities, Community Health Centers managed by the government and the Main Clinic managed by the private sector. The objectives of this study include identifying patient flow times, locations of congestion, and determining scenarios to improve system performance. This paper used a simulation model as a method to developed using a discrete event simulation approach, the study continued with data collection in the form of flow and volume of patient arrivals and service times at each location. By analyzing statistical data from 30 replications, it shows that there are differences in characteristics between the Community Health Center and the Primary Clinic, in the bottle-neck location and the performance of the Main Clinic is better than the Community Health Center, with patients flowing time, respectively 2516.23 seconds and 4881.03 seconds. However, after repairs were made in the bottle neck location at the Community Health Center and Main Clinic, the flow time of patients was almost the same, respectively 1787.81 seconds and 1731.25 seconds. In conclusion, when congestion sites can be identified, improvements are made to reduce patient time flow from two health care facilities, and even show a relatively equal time.
The Factors that Affect Collective Action of Farmer’s Organizations in Rural AreaAulia, S A; Sofhani, T F
doi: 10.1088/1757-899X/662/4/042005pmid: N/A
This study aims to uncover the factors that influence the emergence and sustainability of collective action of FOs. Furthermore, this study analyzes the effect of collective action on the increasing economies of scale and efficiency of FOs’ members. The content analysis method was applied in this research. The case study involved Farmers’ Organizations located in Kalangsuria Village, Rengasdengklok Sub-district, Karawang Regency. Much research has been conducted on Gabungan Kelompok Tani (Gapoktan) or Farmers’ Organizations (FOs) as farmers’ institutions that perform collective action in the agribusiness from the input process to the processing process. However, previous research has not much explored the factors influencing the emergence of agribusiness collective action in FOs. The limitation of previous research leads to the failure to understand the emerging issues of processes and mechanisms of collective action within FOs. Agribusiness activities carried out collectively by Gapoktan Sri Mulya are related to the social bonding and social bridging to a willingness to do agribusiness activities collectively. However, collective action in agribusiness production is not optimal, particularly in anticipating climate change. It was because the factors of human capital, such as education and knowledge of farmers in developing rice farming can also affect the efficiency of farming.
A Survey of Self-driving Urban Vehicles DevelopmentAria, M
doi: 10.1088/1757-899X/662/4/042006pmid: N/A
The purpose of this paper is to conduct a literature survey on the research of selfdriving car which operating in an urban environment. The chosen literature is the literature published since the 2007 DARPA Urban Challenge (DUC) competition and fulfills the criteria of autonomous vehicle level 3 or higher based on the Society of Automotive Engineers (SAE). In addition to using sources from scientific publications, this survey also carried out through websites of companies that develop self-driving car as well as through news published on various media. This is because not all commercial companies publish the results of their research through scientific papers. The results of this survey are a comparison of the main technologies used in the existing self-driving car systems, as well as comparing the advantages and disadvantages of each of these technologies. The conclusion can help researchers find the latest information about self-driving car technology and find a direction of research in the field of self-driving car.
Apartment Design for Synergizing the Region to Create Shared Economic Identity and ExpectationsIsmawati, L; Faturahman, F
doi: 10.1088/1757-899X/662/4/042007pmid: N/A
The purpose of this study is to increase the selling value of apartments, with the concept of social balance that is expected to be made to develop and grow in the environment around them with the power of synergy that will have an identity or characteristic. In this study, the authors used descriptive methods carried out in the literature and descriptive approaches to determine the success of the study, as well as references from previous studies. The results of this study are to make buildings that are not selfish and care for the community, especially those who live in apartments and generally the surrounding community. With the concept of social balance, the synergy between the two who become identities will be created while increasing the value of the apartment because of the value that other apartments do not have.
Mamdani Fuzzy Inference System using Three Parameters for Flood Disaster Forecasting in Bandung regionSumitra, I D; Supatmi, S
doi: 10.1088/1757-899X/662/4/042008pmid: N/A
This study aims to investigate the flood events forecast by applying the Mamdani fuzzy inference system and rule-based reasoning. For input and output linguistic variable of the model based on three parameters such as population density, altitude, as well the rainfall. Each variable has three to four membership functions. The data used come from the Statistic Bureau of Indonesia, National Disaster Management Authority, and Meteorology and Climatology Center of Indonesia for 2014 to present. A different model for each region was constructed depending on available data sets. We determine based our model on forty-eight fuzzy IF-THEN rules and fuzzy reasoning. The output variable which has three membership function takes from 220 to 402 as representative flooding level warning such as normal, alert, and danger. The results of the study have high agreements with recorded data in on site with increases the output values toward the real-time flood event. Therefore, if that area will be used for living, this will have risks that flood always is a threat to those areas.
Flood control study using 1D/2D numerical model in Cipabuaran Channel, Sabi River Watershed, Tangerang CityPratiwi, V; Yakti, B P; Rizaldi, A; Moe, I R; Koesrindartono, D P
doi: 10.1088/1757-899X/662/4/042009pmid: N/A
The flood that occurred in Tangerang City still remains an issue that has not been resolved. The flood arose from Bogor through the Cisadane River. Cipabuaran Channel is one of the channels in the Sabi River watershed who often overflows. Sabi River itself is a tributary of the Cisadane River. In this study, the flood control simulation in Cipabuaran Channel was carried out using a 1D-2D numerical model. Simulation is carried out with 4 scenarios based on the design flow of the 10 year return period. For scenario 1, flood control is carried out using retention pond in the downstream of Cipabuaran Channel, scenario 2 is carried out by using two retention ponds in the upstream and downstream of Cipabuaran Channel, scenario 3 using retention ponds in the downstream of Cipabuaran Channel and bypass channel to Cisadane river, and scenario 4 performed by using retention pond in the downstream of Cipabuaran Channel and normalization on the Channel. Simulation results show the effectiveness of flood reduction for each scenario, in scenario 1 flood can be reduced by 9%, scenario 2 flood can be reduced by 32.52%, scenario 3 flood can be reduced by 77.34% and for scenario 4 flood can be reduced by 95%. From these results, it can be concluded that scenario 4 where flood control is carried out using a retention pond in the downstream of Cipabuaran Channel and normalizing the River can reduce flooding significantly.
Urban Air Pollution Monitoring System for Mapping Areas Based on Pollutant LevelAgus, M; Iqbal, S S
doi: 10.1088/1757-899X/662/4/042010pmid: N/A
This paper presents an explanation of the design of Carepol, an air pollution monitoring system in urban areas, using ISPU standard calculations (air pollution standards index of Indonesia) based on the internet] of thing’s (IoT). ISPU is a standard of air quality determination recognized by the government of the Republic of Indonesia through the Ministry of Environment. This IoT-based air pollution monitoring system is focused on measuring carbon monoxide (CO) levels as the highest pollutants in the world today, and analyzing and estimating the value of these pollutants in real-time and continuously. By using Carepol, society can actively engage in the control of urban air quality, and contribute to improving the environment and public health. For the government, Carepol can serve as a reference platform for proper policy-making in environmental issues, especially air pollution, and as well as the realization of Smart City for better life.