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    108 research outputs found

    Internet Of Things (Iot) Light Control System Using a Mobile-Based Raspberry Pi

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    Internet of thing (IoT) is a concept that aims to expand the benefits of internet connectivity that is connected continuously. Internet of things (IoT) can be used in buildings to control electronic equipment such as room lights that can be operated remotely via a computer network. This study aims to build a remote control device by utilizing internet technology to carry out the mobile-based light control process. The research was conducted by building a prototype and mobile-based application using the python programming language. In this study, there is a control feature, namely one light control which is used to turn on one lamp and two controls used to turn on the lamp simultaneously

    Management Information System of IMBI Puskesmas, Jayapura Utara District

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    Imbi Jayapura in carrying out its duties and functions, supported by patient registrationmanagement, management of each poly, pharmacy management, laboratory management, andadministrative management. The recording process in all management is still manual, and patientregistration services can only be done using a prospective patient having to come directly to thePuskesmas, a manual registration process so that it takes a long time to provide health services at thePuskesmas. It is deemed necessary to have a system that can support all management activities. There isno accumulation of patients when registering, faster in service, and accurate in solving patients andreporting problems. This study encourages IMBI puskesmas to serve prospective patients who wish toregister online using the website, carry out medical record management at each clinic, pharmacy andlaboratory quickly and precisely, and carry out the direction of patient reports at Puskesmas Imbi speedilyand accurately. This research resulted in the Puskesmas Imbi Jayapura Management Information Systemused by Puskesmas officers to manage all Puskesmas activities

    Experd System of Obesity Diagnosis Using Backward Chaining Method and Certain Factor

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    Obesity is a medical condition in the form of excess body fat that accumulates in such a way as to have a detrimental impact on health, which then decreases life expectancy and or increases health problems. Obesity is now a common health problem in this modern society with a variety of technological discoveries that make people don't need to move a lot to do something, resulting in people living a lifestyle without much Move. Researchers feel the need for an expert system application that can easily diagnose obesity with everyone just by modalizing simple applications on people's smartphones. The expert system that is built will diagnose early obesity disease by method of drawing inferences using backward chaining method and to test the level of belief conclusions using certainity factor method. The system will be able to provide output in the form of obesity diagnosis, explanation, tips and advice on obesity handling solutions. System development Methods using ESDLC (Expert System Development Life Cycle). The system is built on Android

    Application of Blockchain Technology for Digital Transaction Security on Business Incubator Websites

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    The application of Blockchain technology in the context of providing security for transactions in the digital era 4.0 to prevent manipulation of transaction recording reports by irresponsible parties. By using research methods 10 (ten) literature reviews and methods of formulating problems, designing research, collecting data, processing & presenting data, analysis & research reports are expected to solve security problems in transactions. At present security in transactions is still very minimal, therefore a blockchain technology is needed to secure transactions where data can still be manipulated. Specifically, there are 2 (two) benefits of this research that use blockchain technology, (1) transactions become safer in the presence of encryption codes, (2) transactions become more transparent with blockchain. This research implements the encryption code into the payment system using AI Coin, where payment is now cashless, to make it more secure and transparent in transactions

    Utilization of Big Data In E-Commerce Business

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    In this day and age with the internet brings revolution to the way all fields work, especially in the field of business. With the internet technology data became big and known as "Big Data". The development of big data has increased significantly so that it can be utilized in various fields, especially in business areas that have been implemented with internet technology. This electronic buying and selling media have a wide range such as from small to large stores that can utilize media or with a site. This makes users always need this technology, so an E-commerce can also be said to be the largest data-producing media. This study addresses the problem of the extent to which big data generated from E-commerce can affect business and provide benefits for business organizations such as expanding the scope of transactions, supporting decision-making, and others. The research method used in compiling this research is to collect data and information and then conduct processing and analysis of the data. So it is expected from the results of utilization of big data in this E-commerce business that has been processed can provide support especially in making decisions with cluster results that have been obtained for example such as to know the most sales patterns in order to be able to add stock to certain goods and determine promotions based on future sales. The study concluded that based on gift shop sales data, the average item purchased by the store's customers is found in items that are included in cluster group 0 so that the gift shop can increase the stock of items contained in cluster group 0

    Examination Of Factors Affecting The Utilization Of Information Technology

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    Data innovation incorporates PC innovation and correspondence innovation used to measure and disperse data, both money related and non-monetary. Interests in data innovation require huge assets and will increment from year to year. The measure of assets gave expects associations to utilize data innovation. The powerful utilization of data innovation should be possible if every person in the association can utilize this innovation. This article gives a clarification of the components that impact the utilization of data innovation by directing a hypothetical report.  In view of hypothetical investigations and an audit of the aftereffects of past examination identified with the utilization of data innovation, there are six factors that impact the utilization of data innovation, in particular: social variables, influence factors, multifaceted nature factors, task appropriateness, long haul result factors and encouraging conditions

    Interactive Module Design Using The Course Lab Application Based on a Scientific Approach to Materials Business, Energy and Momentum

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     A well-prepared abstract enables the reader to identify the basic content of a document quickly and accurately, to determine its relevance to their interests, and thus to decide whether to read the document in its entirety. The Abstract should be informative and completely self-explanatory, provide a clear statement of the problem, the proposed approach or solution, and point out major findings and conclusions. The Abstract should be 100 to 150 words in length, the font style is Arial in Italic mode and the font size is 10. The abstract should be written in the past tense. Standard nomenclature should be used and abbreviations should be avoided. No literature should be cited. The keyword list provides the opportunity to add keywords, used by the indexing and abstracting services, in addition to those already present in the title. Judicious use of keywords may increase the ease with which interested parties can locate our article

    Strategy Based Making Instruction Management Information Framework (EMIS)

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    The Education Management Information System (EMIS) is planned for share genuine data like allies of strategy creators. This examination intends to depict and investigate the execution of EMIS in strategy making in the Mapenda zone of ??the Ministry of Religious Affairs region Gunungkidul. The exploration results show that EMIS is compared to a base learning data for strategy making can't yet be utilized viably ideal. EMIS data is utilized distinctly as right on time as essential data cross-check through face to face gatherings or by means of phone correspondence so it requires some investment. The obstruction was that the EMIS information assortment measure was attempted distinctly at specific occasions so the data was not refreshed consequently, EMIS application issues, EMIS the executives skill, and the cooperation of madrasah chiefs in information assortment

    Remote Sensor Network Application For Monitoring System and Air Quality Classificatio

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    Indonesia is one of the nations putting resources into the modern area. Businesses influence the climate, outstandingly air quality. On the off chance that the air contamination ousted by modern fireplaces couldn't be handled appropriately, it would unfavorably influence human wellbeing. As of now, checking the air quality in certain zones just uses one apparatus. This is esteemed insufficient to depict the state of air quality in a given region. Then again, introducing more than one device would be extravagant. This exploration applied the idea of remote sensor organization (WSN) for air quality checking by introducing more than one sensor hubs in a specific area and one sink that demonstrations to gather information from the sensor hubs at that point sends them to the worker. Air quality information acquired by the sensor hubs were then ordered utilizing the grouping technique in information mining that is k-closest neighbor (K-NN). Preceding grouping utilizing K-NN, information standardization was performed, which creates a decimal scaling with great execution for air quality information. The k esteems utilized for the K-NN characterization are 5. The exactness of the framework is 94.28%, the accuracy is 85.16% and the review is 93.35%

    Application Method Simple Multi-Attribute Rating The Technique (SMART) At Selection Receiving Scholarship Tahfidz

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    The Tahfidz Scholarship is a development program for Mahfouz centers in the community, community, educational institutions, and installations. The aim is to form and print Al-Quran memorizers. So far, the system used to determine the selection of scholarship recipients is by selecting one by one the data and values ??of the applicants. So that it can cause errors in the final selection stage. In addition, if you still use manual methods, there is a concern that the selection of prospective scholarship recipients will not be conducted objectively. So use of a computer-based Decision Support System can be used as a solution to facilitate decision making. The method used in this study is the Simple Multi-Attribute Rating Technique (SMART). The purpose of this study was to facilitate the Tahfiz Center (RTC) Research and Development section in selecting prospective Tahfidz scholarship recipients. From the results of this study, it is hoped that the Simple Multi-Attribute Rating Technique (SMART) method can be implemented in the Scholarship Recipient Selection Decision Support System with the output of data on scholarship recipients who received assistance from the Tahfiz Center (RTC) House

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