The research was conducted in the coastal area of Palu Bay, Lere Village. Data were collected using observation, interviews, and literature study techniques. The data were analyzed using qualitative descriptive method...
The research was conducted in the coastal area of Palu Bay, Lere Village. Data were collected using observation, interviews, and literature study techniques. The data were analyzed using qualitative descriptive methods and focused on the concept of the design of the tsunami evacuation building on the coast of Palu Bay. Data analysis was carried out to obtain an overview of the problems that occurred at the planning location which was analyzed with the concept of architectural design by considering the existing conditions of the site and the surrounding environment, as well as utilizing the potential of the site so that it has the potential for building functions. The conclusion obtained is based on the results of data analysis, it is necessary to have a building that can function as an evacuation container for the community when a disaster occurs in the coastal area of Palu Bay, thereby reducing the number of casualties. The benefit of this research is that it is a solution for local people to save themselves when the tsunami disaster.
The book is classified by librarians that use Decimal Dewey Classification (DDS) System. It is used for cataloging and indexing books. DDC has three divisions, a ten, a hundred, and a thousand. The book subject is ref...
The book is classified by librarians that use Decimal Dewey Classification (DDS) System. It is used for cataloging and indexing books. DDC has three divisions, a ten, a hundred, and a thousand. The book subject is reflected in each division. Commonly, to know the book content, librarians read the book title. Then, they identify the book index in DDC system. Nevertheless, it requires more time. To read the book title, Optical Character Recognition (OCR) aids them to get the book title efficiently that convert the image of the book cover into the text-editable. Librarians use a web camera to scan the book cover, especially the book title area. There are three steps for pre-processing, the lowercase changing, the useless word removing, and tokenizing. To detect the book categories, Long Short-Term Memory Neural Network is good implemented in this research. It is almost used for text classification. In this research, It gives high performance that achieves more than 92% accurately.
Virtualization technology is a technology that allows making things into a virtual form. Server virtualization itself is a software technology that can enable physical servers to run many operating systems on a physic...
Virtualization technology is a technology that allows making things into a virtual form. Server virtualization itself is a software technology that can enable physical servers to run many operating systems on a physical server. In this study, the service performance testing of Citrix Xenserver was conducted to determine the service performance of this server virtualization. The research method in this study used action research by testing the CPU load and Memory Usage, Benchmark, Network Traffic, and then the response of users by using the technology acceptance model approach. The results obtained from this study were that Citrix XenServer is able to run a virtual operating system well and also get a good user response which can be seen from the questionnaire data.
Clean water is one of the most important needs, including for daily drinking, because 70-80% of the human body is water. There are many benefits of consuming adequate drinking water for health. Consuming clean and hea...
Clean water is one of the most important needs, including for daily drinking, because 70-80% of the human body is water. There are many benefits of consuming adequate drinking water for health. Consuming clean and healthy water is one of the keys to getting a healthy body, because water also plays a role in oxygen transportation throughout the body. To produce clean and healthy water, technological innovations are needed, one of which is to use a nano filter-based device which can reduce solutes, colour, hardness and high metal ions by up to 70%. The purpose of this research is to produce drinking water that is healthy and can be useful in health therapy with nano material-based filters. The resulting water product is drinking water with a pH of 8+. This nano material-based tool has been tested using 3 water samples, namely well water, PDAM water and river water. The results showed that well water with a pH of 8.71, TDS (total dissolved solid) 282 and a test of 4 heavy metals (Pb, Cu, Zn and Cr) were below the threshold and the results after filtering were the most ideal among other water samples and recommended for consumption that can afford for health therapy.
Identification of coffee beans types is a process carried out in determining the category of civet and robusta coffee. The selection of civet coffee manually by the community in determining the variety of coffee beans...
Identification of coffee beans types is a process carried out in determining the category of civet and robusta coffee. The selection of civet coffee manually by the community in determining the variety of coffee beans. Manual selection makes the process slow. There is no certainty whether the selected coffee stated original civet coffee or a mixture with Robusta coffee. It needs to be built a system in identifying the types of coffee beans. In this study, the classification technology used for the selection process of Civet and Robusta coffee beans. This research uses first-order feature extraction with the Support-Vector Machines (SVM) algorithm, which aims to recognize civet and robusta coffee beans' patterns using texture analysis on grayscale images and feature extraction. In the study, the authors used the Rapid Application Development approach to build the selection system. The data used in this study were 120 images, consisting of 110 training data and 10 test data. The accuracy in identifying the types of coffee beans by using this method is 87.27%.
Data access that is accurate, fast, and precise is a modern need for analysis or business decision making. NLIDB (Natural Language Interface to Database) is a system that allows users to access information from a data...
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ISBN:
(数字)9781728149929
ISBN:
(纸本)9781728149936
Data access that is accurate, fast, and precise is a modern need for analysis or business decision making. NLIDB (Natural Language Interface to Database) is a system that allows users to access information from a database by entering requests that are stated in natural language. The NLIDB for Indonesian language that has been built has not been able to handle decision support data queries. The method of translating imperative sentences into SQL queries is done in two stages. The first stage is identifying the imperative sentence and parsing the sentence into a parsed tree that is assisted by the PC-PATR syntactic parser. The second stage is processing the parse tree into an SQL query. The parse tree is analyzed to look for parts of SQL, then do object searching for SQL parts to ontology. The objects found will be arranged into SQL queries. NLIDB application development is carried out to test the results of the translation of imperative sentences into SQL queries and see the application performance in translating imperative sentences into SQL queries. Application development is done with the Python programming language and MySQL database. The application that was built successfully translates imperative sentences into SQL queries for cross tab data, summary data, trend data, and top-N/bottom-N data. The application performance in carrying out the translation process is quite good, but it is necessary to improve performance for the ontology object searching process on the query generator component. Development that can be done for further research is the handling of sentence forms that have affixes and subquery handling.
NLIDB (Natural Language Interface to Database) was developed to simplify database access using natural language. In previous studies, NLIDB has been developed which can translate natural languages into several languag...
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ISBN:
(数字)9781728149929
ISBN:
(纸本)9781728149936
NLIDB (Natural Language Interface to Database) was developed to simplify database access using natural language. In previous studies, NLIDB has been developed which can translate natural languages into several languages, including in Indonesian language. However, there are types of queries that cannot be handled by the system, one of them is a query with a temporal aspect. In this study, we propose a method of translating sentences in Indonesian language that have temporal aspects into SQL queries. The process of translating sentence is performed by identifying the input sentence and parsing the sentence into a parsed tree with PC- PATR as the syntax parser. The parsed tree is analyzed and mapped into parts of SQL. Then, an object search is performed to the ontology that is built from the database to get classes, attributes, operators, and values based on tokens in parts of SQL. Finally, the results of the previous process are organized into SQL queries. The NLIDB application built in this study was successful in translating imperative sentences with temporal aspects in Indonesian language into SQL queries for current state, time slice, sequenced and non-sequenced queries.
Computer Laboratory of the University of Technology Sumbawa still does not have a Data Center, in the process of learning and teaching experiencing several obstacles one of which is the difficulty in sharing files bet...
Computer Laboratory of the University of Technology Sumbawa still does not have a Data Center, in the process of learning and teaching experiencing several obstacles one of which is the difficulty in sharing files between computers. The research objective is to build a Data Center at the Computer Laboratory of the University of Technology Sumbawa with the aim of facilitating practicum participants in sharing files between computer system devices. The method used in this research is the network development method Prepare, Plan, design, Implement, Operate, Optimize (PPDIOO). The results of NAS tests on different devices give results that are file access connections via wireless and LAN can run well and by producing Data Centers at the Computer Laboratory of the University of Technology Sumbawa can facilitate the process of storing cheap and efficient data.
Daop 2 Bandung is one of the Indonesian railroad operations areas, under the administration of PT Kereta Api Indonesia (Persero). Daop 2 Bandung is currently experiencing a problem in predicting the number of passenge...
Daop 2 Bandung is one of the Indonesian railroad operations areas, under the administration of PT Kereta Api Indonesia (Persero). Daop 2 Bandung is currently experiencing a problem in predicting the number of passenger volumes. It is common for railway transportation services to experience passengers flows that increases or decreases in the volume which in turn causes the service of the PT. KAI becomes less optimum. Therefore, a forecasting information system is needed to forecast the volume of train passengers in the upcoming period. This study applied Double Exponential Smoothing method as a forecasting method. The data used is the number of passenger volume data for two periods, i.e. 2017 and 2018 periods. For forecasting accuracy, PE (Percentage Error) and MAPE (Mean Absolute Percentage Error) were used. The passenger volume forecasting results on the Executive Class category shows 946,824 with an error percentage of 11.9962%, the Business Class category shows 221,188 results with an error percentage of 21.6714%, and the Economy Class category shows 5,144,074 with an error percentage of 10.4366%.
This study aims to study the development of laboratory learning media on the concept of fluids. The method used in this study is the research and development (R & D) method of implementation up to step 7, namely: ...
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