Journal of Computer Networks, Architecture and High Performance Computing
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    473 research outputs found

    Instant Noodle Production Information System Using The Method Supply Chain Management To Overcome Targets Not Achieved

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    Improvement This research aims to analyze and implement an instant noodle production information system using the Supply Chain Management (SCM) method to overcome the inability to achieve predetermined production targets. In this study, an analysis was carried out on the entire supply chain in the production of instant noodles, which includes raw material suppliers, production processes, distribution and sales. The research method used is a qualitative method. The subjects of this study were instant noodle company employees. The results showed that the application of a production information system using the SCM method could help companies increase the efficiency of instant noodle production. With an integrated information system, companies can gain better visibility on consumer demand, raw material inventory, and production status. This allows companies to carry out more accurate production planning, accelerate production cycle times, and optimize resource us

    Automatic Water Quality and Fish Feed Monitoring System in Aquarium Using LORA

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    Keeping ornamental fish, especially guppies, is a type of ornamental fish that is widely kept because it has a very beautiful color pattern. The growth of guppies is influenced by environmental factors, including water temperature, water pH, and water turbidity. Fish feed is also a very important factor in the survival of fish. In general, the ideal temperature that can make guppies develop well between the range of 23-27 °C, the pH of the water is in the range of 6-8 pH. and the turbidity of guppy water requires a water turbidity level of 0-25 NTU. The purpose of this study is to design and create a water quality monitoring system in guupies using LoRa and automatic feeding according to realtime. The hardware used is Arduino Uno as a microcontroller, LoRa SX1278 as long-distance communication, Turbidity Sensor, DS18B20 temperature sensor, water pH sensor as LCD 16x4, RTC, Relay, Water pump. The system created can monitor the water temperature, water turbidity level, and Ph of aquarium water automatically. Testing is carried out by detecting the quality of aquarium water with all sensors simultaneously to determine the condition of the water which will later be monitored using LoRa. The test results determine if the water state is cloudy with a range of >2000 NTU, the water pump will automatically turn on until the water state reaches the range of <2000 NTU

    The Housing Recommendation System Uses Multi-Criteria Decision-Making Methods

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    Economic and population growth, increasing urbanization, changing habits, new welfare requirements, and lower interest rates have led to increased demand for housing in cities. However, housing conditions in many cities are slightly alarming, while housing is a primary need for the community. Selecting housing for low-income people (LIP) that meets the criteria required by LIP is not an easy task. Because most of the decisions people made did not utilize detailed information. Therefore, a recommendation system for LIP is required. This study aims to develop the housing selection recommendation system for LIP that best suits their wishes. This study integrated two multi-criteria decision-making (MCDM) methods: the Best Worst (BW) method, which has fewer pairwise comparisons compared to other MCDM methods for selecting criteria and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for determining housing recommendations for LIP according to their wishes. Based on the analysis results, ten criteria dominate the housing selection for LIP sequentially: Location, Land Size, Down Payment, Public Facilities, Price, Booking Fee, Home Design, House Specifications, House Quality, and Home Ownership Credit. Furthermore, the sensitivity analysis results showed that the robustness score of this approach was high. The model could recommend housing for LIP that best suits their wishes

    Design and Build a Quality Assurance Document Archiving Application Using the Rapid Application Development

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    Higher Education quality assurance is a planned and sustainable process in systematically improving the quality of Higher Education. One of the functions of quality assurance for tertiary institutions is for accreditation activities, in study programs accreditation preparation is an activity that often requires time, energy and the minds of the academic community. The problem that often arises in quality assurance activities is that supporting data and information that are required for completeness have not been well documented. As time goes by, there are more and more documents and the search for documents is getting longer, because you have to open documents in every folder where these documents are not small. The purpose of this research is to overcome some of the problems that arise, including good archive management, documents can be grouped by year or criteria and time efficiency in recapitulating all quality assurance documents. The method used in the development of this system is the Rapid Application Development method, which enables faster system development. Document Archiving Information System for Website-Based Quality Assurance in Informatics Engineering Study Program, University of PGRI Madiun, was created using the Laravel framework, while databases used MySQL. The tools used in the process of making this system are XAMPP for the database server, Visual Studio Code for the text editor. In system testing using black box testing which only tests software functionality, the test shows valid results and no errors or bugs occur

    Information System Design at FGH Stores with Unified Modelling Language

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    This project aims to develop and execute a proficient information system at FGH Stores, to enhance sales performance and improve customer satisfaction. This study centers on incorporating information technology into routine business activities, intending to devise strategies that facilitate seamless consumer interactions and aid store management in effectively handling inventory and customer data. The research process includes the examination of business needs, the formulation of system architecture, the creation of user interfaces that prioritize ease of use, and the integration of databases. The resultant information system facilitates consumer registration as members, reduces browsing of product catalogs, and enables efficient execution of purchases. Furthermore, implementing shop management systems enables enhanced inventory monitoring, efficient customer data management, and improved responsiveness to consumer requests. This study assesses the effects of information systems on enhancing sales and operational efficiency by conducting data collection and analysis before and after deployment. The findings indicated that implementing information systems effectively enhanced the efficiency of the sales process and improved the customer experience, yielding substantial advantages for the growth of retail establishments. This study offers valuable insights into the possible utilization of information technology within the retail industry while also contributing to the comprehension of the favorable effects that information systems integration may have on corporate expansion and customer satisfaction

    Utilization of Artificial Intelligence in Predicting Crime

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    The problem of crime in Indonesia is an urgent issue, with crime rates continuing to increase. High crime rates have serious impacts on societal security, social stability, and economic development. Amidst the complexity of types of crime, motives and methods of handling them, Artificial Intelligence (AI) and Machine Learning (ML) technology has emerged as a promising solution. Through analysis of a literature review with the keywords "AI and crime," this research aims to understand the differences between the use of AI in crime prediction and traditional methods. The literature review method will identify and analyze the latest knowledge regarding the use of AI technology in overcoming crime problems. The use of AI in analyzing crime data, identifying complex patterns, and providing accurate predictions will be emphasized. The research will also explain how AI is able to overcome problems that are difficult to solve with conventional methods. It is hoped that the results of this literature review will provide deeper insight into the potential of AI in reducing crime rates and c reating a safer environment for people in Indonesia

    Wheelchair Control Using Bluetooth-Based Electromyography Signals

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    In modern times like this, many wheelchairs have been developed with various controls, ranging from manual ones, namely by being pushed by other people or using their hands to turn the wheel, to automatic ones, such as electric wheelchairs that use joysticks and Electromyography control. The control of the electromyography signal utilizes muscles that can still be used to move the wheelchair, in this case, using the hand muscles. The use of a Bluetooth wireless system in sending electromyography signals aims to facilitate the use of a wheelchair without interference from the many connected cables so that users are more flexible in placing the electromyography sensor on the user's hand muscles. By placing the electromyography sensor on the user's arm, the electromyography sensor detects a contraction or relaxation, which is indicated by the LED flame. The output value of the sensor will be compared with a predetermined limit value. When the value is greater than the limit value, it will produce a logic low; when the value is less than the limit value, it will build a logic high. The Arduino microcontroller will calculate every low logic. The results of these calculations will be processed into serial data. The serial data will be sent to the HC-05 enslaved person via the HC-05 master wirelessly. The motor driver will execute the data so that it produces motion forward, backward, turn right, turn left and stop. It is hoped that this tool can help individuals with limited movement so that they do not have difficulty in mobility

    Hybrid Decision Tree Method and C4.5 Algorithm for a Recommendation System in Determining Recipients of Direct Cash Assistance (BLT)

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    Development of a recommendation system to determine recipients of Direct Cash Assistance (BLT) using the C4.5 algorithm hybrid method and decision tree. In the current era of digitalization, the BLT program is a solution for the Indonesian government to help people affected by the COVID-19 pandemic. In this study, we propose a recommendation system that combines the C4.5 algorithm and a decision tree to increase accuracy and efficiency in determining BLT beneficiaries. Primary data was obtained through interviews and observations, while secondary data was obtained from the village administration, written reports, journals, theses and previous research. The results showed that the C4.5 algorithm and decision tree hybrid method gave good performance in determining BLT recipients. The C4.5 algorithm is used to calculate the accuracy of the training data and testing data with a ratio of 80% : 20%, while the decision tree is used to create a decision tree that classifies prospective BLT recipients. This research fills in the previous research gap regarding the recommendation system for determining BLT beneficiaries. The results of this study are expected to provide useful information for the government in making decisions regarding the BLT program, especially at the village or sub-district level. With an accurate and efficient recommendation system, financial assistance can be provided to those who really need it, helping to meet the basic daily needs of affected communities

    Freshness Detection And Sorting Of Pears Using The TCS-3200 Sensor

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    Pears in early autumn can be harvested with the best quality. Pear farmers sort the fruit so that it can be consumed and sold with the best quality. Therefore automatic detection and sorting tools can make it easier for farmers to sort pears. This tool can sort fresh and rotten fruit using the TCS-3200 sensor based on the ESP32 microcontroller. The harvested fruit is collected in a container and the fruit will go out onto the conveyor. The conveyor has a length of 60 cm using a Nema 17 stepper motor that moves automatically, the TCS-3200 sensor is placed in the middle of the conveyor so that it can detect moving pears. The results of the sorting door servo if the fruit is declared fresh then the servo remains closed straight so that the fruit will go to the front container, and vice versa the fruit is declared rotten then the servo will open up so that the fruit will go down. At the end of the conveyor there is an IR sensor which is used to send a signal to the servo motor of the main container door, so that if the fruit has been detected and leads to the IR sensor, the main container door will open and take out new pears. And for data collection the number of pears can be seen through the LCD by calculating the number of pears that have been detected, the number of fresh fruit and the number of rotten fruit, and the overall calculation of the amount of data can be seen through a spreadsheet. In this case, it is hoped that this research can help and facilitate farmers in harvesting fruit on a large scale while being efficient in time and energy

    Compliance Analysis of Company ABC as an Electronic Certification Provider in Implementing Business Practices Management Webtrust Certification Authorities

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    Company ABC is a trusted agency that collaborates with the Directorate General of Civil Registration and Population Administration (Ditjen Dukcapil) of the Ministry of Home Affairs of the Republic of Indonesia. It issues electronic certificates and electronic signatures using facial recognition authentication and compares live videos with Indonesian population data. This task demonstrates that Company ABC is a trusted company in the field of digital security. In order to be recognized and maintain the credibility of the Certificate Policy (CP) and Certification Practice Statement (CPS) from Certification Authorities (CA) in the international community, Company ABC needs to comply with various applicable standards. One of the international standards used is Webtrust for Certification Authorities. This study aims to analyze the capability level of Company ABC as an electronic certification provider in implementing Business Practices Management Webtrust Certification Authorities. The data used in this study consists of Company ABC's Certificate Policy (CP) and Certification Practice Statement (CPS). The analysis is conducted on the implementation of Business Practices Management Webtrust Certification Authorities based on the data of Company ABC's CP and CPS. Gap analysis is conducted to assess the alignment between Company ABC's CP and CPS with the principles of Business Practices Management Webtrust Certification Authorities. The results of the gap analysis indicate that no gaps are identified based on the checklist conducted by the author. This indicates that Company ABC's CP and CPS already comply with the principles set by Business Practices Management Webtrust Certification Authorities. This research significantly contributes to ensuring that Company ABC maintains compliance with international principles in the provision of electronic certification services. The findings of this study can serve as a reference for other electronic certification providers to improve and enhance the quality and security of their electronic certification management systems, particularly in the management of CP and CPS

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