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12th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2018

作者： Dyah Puji Astuti, Nur Rochmah Arfiani, Ika Laksono, Doni Nur Informatics Engineering Study Program Ahmad Dahlan University Yogyakarta Indonesia

ISBN: (纸本)9781538669402

Javanese characters is a priceless cultural heritage. The form of the characters and the art of making it become a legacy that deserves to be preserved. The difficulty that is often experienced by the community is in terms of remembering the form, pronunciation, and errors in placing Javanese characters pairs and the lack of available references. Coupled with the elimination of curricula regarding regional languages at the SMA / SMK level. This encourages writers to conduct research and build mobile learning applications for Java characters learning. With the aim of producing a Mobile Learning application that can Assist learning and writing Javanese characters to be more interactive so as to motivate the community to learn Javanese *** use of the Gesture API technology that functions when the user starts touching the screen and performs the movements that have been determined by the system and understood by the system itself. The steps taken are analyzing the problem regarding the making of this Java characters mobile learning application through observation, interviews and literature studies to be further identified to obtain data from the general public. Then do the system needs analysis, user needs analysis, while the results will be tested using Black Box and Post study analysis to determine the extent of the usability system to the problems in the communityThe results of the application built in the form of the introduction of Javanese characters with a gesture board, Javanese characters pronunciation in the form of audio visual and Javanese characters quiz writing so that it was more effective and interactive. With the results of testing the black box test, the application built has been running according to its use and function and based on post study testing obtained the average rating of respondents with the results stated that community categories are acceptable, acceptable and acceptable students. © 2018 IEEE.

关键词： Android (operating system)

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Use of the Web API as a basis for obtaining the latest data on bitcoin prices at 30 exchange places

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IOP Conference Series: Materials Science and engineering 2021年第1期1125卷

作者： Rizky Parlika Arista Pratama Informatics Engineering Study Program Faculty of Computer Science National Development University 'Veteran' East Java Information Systems Study Program Faculty of Computer Science Raya Rungkut Madya Road Gunung Anyar Surabaya

Bitcoin has become a commodity traded by millions of traders from all over the world. This is one of the causes of fluctuating price movements. From the data we got on coinmarketcap, Bitcoin is traded on various cryptocurrency trading exchanges. And at every exchange that has a reputation, of course, has an API service to access historical data about the price movements of all the crypto commodities they have traded from the start. By using the PHP programming language and implementation of the CURL function for JSON readings, we can pull Bitcoin movement data in real time. In this paper, Bitcoin is specifically observed because it is the forerunner and the main cryptocurrency commodity traded and is a determinant of Alternative coin price movements in general. In this paper Bitcoin price monitoring is carried out at 30 reputable exchange places through API access provided by each exchange place. Furthermore, conclusions are drawn about the various variants of how to access the API from the 30 bitcoin exchange places. The program code that is displayed directly in this paper can then be used as an initial reference if you want to develop a Cryptocurrency price movement monitoring application for Bitcoin. At the end of the paper, an example of the application of Bitcoin price monitoring will be presented using a web-based application containing charts and supporting indicators as well as a telegram bot to display price depth charts.

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Tsunami evacution building model (TEBM) in Teluk Palu (Palu Bay) area

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IOP Conference Series: Materials Science and engineering 2022年第1期1212卷

作者： M Bakri R Awalia S Mulyati F Zubaidi M Rusydi A A Kasim R Prawita Department of Architecture Faculty of Engineering Tadulako University PaluIndonesia Department of Physics Faculty of Mathematics and Natural Sciences Tadulako University Palu Indonesia Department of Informatics Faculty of Engineering Tadulako University Palu Indonesia Study Program of Architecture Faculty of Engineering Tadulako University Palu Indonesia

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.

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Optical character recognition and long short-term memory neural network approach for book classification by librarians

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Journal of Physics: Conference Series 2020年第3期1567卷

作者： YD Rosita YN Sukmaningtyas Study Program of Informatics Engineering Universitas Islam Majapahit

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.

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Analysis of Server Virtualization Service Performance Using Citrix Xenserver

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Journal of Physics: Conference Series 2020年第1期1500卷

作者： Surahmat Alfred Tenggono Informatics Engineering Study Program STMIK PalComTech Indonesia

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.

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Mineral water production for health therapy based on nanomaterial filters

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AIP Conference Proceedings 2023年第1期2748卷

作者： Mohamad Amin Dewi Nawang Arum Ihya Fakhrurizal Amin Ahya Zhilalikbar Amin Ekowati Retnaningtyas Department of Biology Faculty of Mathematics and Natural Sciences Universitas Negeri Malang Jl. Semarang No. 5 Malang 65145 Indonesia Poltekkes Kemenkes Malang Malang Indonesia Faculty of Medicine Universitas Indonesia Jakarta Indonesia Study Program of Informatics Engineering Faculty of Computer Sciences Universitas Brawijaya Malang Indonesia

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.

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Classification of Civet and Canephora coffee using Support-Vector Machines (SVM) algorithm based on order-1 feature extraction

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IOP Conference Series: Materials Science and engineering 2021年第1期1173卷

作者： R Z H Suyoto M Komarudin G F Nama T Yulianti Informatics Engineering Study Program Department of Electrical Engineering Faculty of Engineering Universitas Lampung Jl. Prof. Sumantri Brojonegoro No.1 Bandar Lampung 35145 Indonesia

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%.

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Natural Language Interface to Database (NLIDB) for Decision Support Queries

Natural Language Interface to Database (NLIDB) for Decision ...

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International Conference on Data and Software engineering (ICODSE)

作者： Ani Anisyah Tricya Esterina Widagdo Fazat Nur Azizah Magister of Informatics Study Program Institut Teknologi Bandung Bandung Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

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.

关键词： Structured Query Language Databases Ontologies Market research Natural languages Syntactics

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Natural Language Interface to Database (NLIDB) for Query with Temporal Aspect

Natural Language Interface to Database (NLIDB) for Query wit...

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International Conference on Data and Software engineering (ICODSE)

作者： Dion Ajie Poetra Tricya Esterina Widagdo Fazat Nur Azizah Magister of Informatics Study Program Institut Teknologi Bandung Bandung Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

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.

关键词： Ontologies Structured Query Language Natural languages Syntactics Relational databases Software engineering

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Building data centers using Network Attached Storage (NAS) and Microprocessor Operating Systems

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IOP Conference Series: Materials Science and engineering 2021年第1期1088卷

作者： Titi Andriani Muhammad Hidayatullah Dekky Saputra Shinta Esabella G Gunawan Electrical Engineering Department Faculty of Engineering Universitas Teknologi Sumbawa Informatics Department Faculty of Engineering Universitas Teknologi Sumbawa Physics Education Study Program Faculty of Teacher Training and Education Universitas Mataram

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.

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