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Urfan Taghiyev
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INDONESIA
Journal La Multiapp
Published by Newinera Publisher
ISSN : 27163865     EISSN : 27211290     DOI : https://doi.org/10.37899/journallamultiapp
Core Subject : Engineering,
International Journal La Multiapp peer reviewed, open access Academic and Research Journal which publishes Original Research Articles and Review Article, editorial comments etc in all fields of Engineering, Technology, Applied Sciences including Engineering, Technology, Computer Sciences, Architect, Applied Biology, Applied Chemistry, Applied Physics, Material Engineering, Civil Engineering, Military and Defense Studies, Photography, Cryptography, Electrical Engineering, Electronics, Environment Engineering, Computer Engineering, Software Engineering, Electromechanical Engineering, Transport Engineering, Mining Engineering, Telecommunication Engineering, Aerospace Engineering, Food Science, Geography, Oil & Petroleum Engineering, Biotechnology, Agricultural Engineering, Food Engineering, Material Science, Earth Science, Geophysics, Meteorology, Geology, Health and Sports Sciences, Industrial Engineering, Information and Technology, Social Shaping of Technology, Journalism, Art Study, Artificial Intelligence, and other Applied Sciences.
Articles 8 Documents
Search results for , issue "Vol. 5 No. 2 (2024): Journal La Multiapp" : 8 Documents clear
Algorithm for Detecting Acoustic Traces of Neutrino Decay Belyakov, Askold
Journal La Multiapp Vol. 5 No. 2 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i2.1006

Abstract

In the articles "Doppler Effect and Acoustic Trails of Neutrinos" and "Neutrinos above the Earth's surface", published in the journal "LA MULTIAPP" on February 25, 2022 and July 12, 2023, I was forced to touch on the astrophysical topic when, in the flow of data obtained in the process Monitoring acoustic noise with a recorder with a Nyquist frequency of 5 kHz, at a depth of 1000 m in the earth's crust, events began to be frequently observed, the shapes and frequencies of which are not typical for seismology and geophysics, and had not previously been observed by anyone. The shape of some events was very similar to the traces of neutrino decay, such as the bipolar pulse and the “diamond”, recorded by acoustic detectors in seawater. Subsequently, when recording high-frequency acoustic processes on the Earth's surface with a recorder with a Nyquist frequency of 50 kHz, events were discovered that were even more similar to traces of neutrino decay. At the same time, a “strange” association of some events of unknown origin with the field extrema of the power electrical network of a large city was discovered. To avoid erroneous conclusions, it is necessary to understand the origin of this “strangeness”.
Bitcoin Price Prediction Model Development Using Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) Cahyadi, Jonathan; Zahra, Amalia
Journal La Multiapp Vol. 5 No. 2 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i2.1070

Abstract

Cryptocurrency is a virtual currency that can be used as a financial or economic standard, foreign currency reserve, and as a means of payment in some countries. The value that goes up and down every time is not easy to predict using logic. This is a problem for investors, besides that investors lack knowledge about the direction of crypto money movement. In addition, there is no system that can predict the price of Bitcoin, so this can cause investors to take the wrong steps in transactions and can cause losses. To avoid this risk, a system is needed that can predict bitcoin prices using data mining techniques, namely forecasting, the algorithms used are CNN and LSTM. The data used is Bitcoin closing price data from January 1, 2017, to April 26, 2023. The data is divided into 80% training data and 20% testing data. The prediction results are evaluated using MAPE which gets a MAPE value of 0.037 or 3.7% in the CNN algorithm, while the LSTM algorithm gets a value of 0.065 or 6.5%. The MAPE results of the two algorithms are in the MAPE range <10%, so it can be said that the ability of the forecasting model is very good so that it can be used as a reference to determine the prediction of bitcoin prices in the next few periods.
Backend Development of a Microservice-Based Website Application for Public Issue Reporting: Case Studyn in People Representative Council Isnaeni, Rizqullah Maziyah; Utama, Nur Ichsan; Suakanto, Sinung
Journal La Multiapp Vol. 5 No. 2 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i2.1148

Abstract

This research introduces a web application aimed at advancing public issue reporting, promoting civic engagement, and expediting government responses. In collaboration with DPRD Jawa Barat, the research leverages Scrum methodology, social network features, and a microservice architecture to create an efficient communication platform between citizens and governmental bodies. The backend of the application, developed using the Go programming language, adopts a microservice architecture to enhance scalability and maintainability. The Scrum methodology facilitates an agile development process, ensuring adaptability to changing requirements and fostering continuous improvement throughout the project lifecycle. Additionally, the study explores the incorporation of social network features to encourage public engagement within the application. This integration allows citizens to connect, share, and discuss public issues, further enhancing the collaborative nature of the reporting platform. To ensure the seamless functionality of the microservices, API testing is employed, validating the reliability and consistency of the application's interfaces. Stress testing is also conducted to assess scalability and performance capabilities, identifying potential optimizations for the system's responsiveness under varying levels of load. In conclusion, this research presents an innovative solution for public issue reporting that combines microservice architecture, Scrum methodology, and social network features. The application's integration of these elements aims to not only streamline citizen-government communication but also create a dynamic platform that encourages active public involvement and collaboration.
Selection of Photocopy Business Branch Locations Using the Cut Off Point, AHP and Topsis Methods Nugraha, A Fajar; Sabrina, Fira
Journal La Multiapp Vol. 5 No. 2 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i2.1180

Abstract

In order to develop and expand business expansion, the photocopy business owner plans to open a new business branch by renting a shophouse. The choice of location requires careful consideration of several factors because it will affect revenue and business strategy to get maximum profit and have an impact on business continuity. The purpose of this study is to analyze the decision to choose the location of the photocopy business branch with four alternative locations. Location selection was carried out using the Cut Off Point method to determine important criteria to consider, Analytical Hierarchy Process (AHP) was used to weight the selected criteria and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) as a complement in determining the location selection. The results with a Cut Off Point from five competent business experts, selected 8 criteria from 20 criteria such as rental prices, proximity to consumers, and market opportunities. Weighting criteria with AHP obtained three criteria with the highest weight, namely the price of renting a place, market opportunities, and cleanliness of the place. TOPSIS calculation results obtained preference values of 0.704 (Cipayung), 0.647 (Cakung), 0.477 (Cimanggis), and 0.297 (Ciputat). So, the shophouse in Cipayung was chosen as the best alternative.
Analysis of Working Time Measurement and Incentives Work to Increase Shoe Upper Production at CV. Esa Kalen Jaya Agustin, Putri Olivia; Rusindiyanto, Rusindiyanto
Journal La Multiapp Vol. 5 No. 2 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i2.1293

Abstract

As time goes by, competition in the industrial world is increasing, every company is required to be able to compete with other companies. CV.Esa Kalen Jaya is a company that produces semi-finished goods, namely shoe uppers. Where there are obstacles in the form of not being able to fulfill the production targets that have been determined by the company which results in the company's productivity not being optimal. This research was conducted to calculate standard production time through direct observation using a stopwatch time study as well as improving the regulation of the number of working hours and providing work incentives using the piecework plan method. as an effort to increase company productivity.. Results obtained. The standard output obtained is 4588.48 units/month. And after increasing the number of production working hours to 8 working hours, the results were 5,234 units/month, which means the production target has been achieved. And based on the calculation of incentives that the company will provide in standard hourly wages, namely IDR 7,051.41/hour. It can be concluded that by determining the standard production time and determining the number of working hours, the production results have achieved the set production targets.
Expert System for Diagnosing Pests on Oil Palm Seed Plants Using the Certainty Factor Method Fikri, Muhammad Ihsanul; Nasution, Yusuf Ramadhan
Journal La Multiapp Vol. 5 No. 2 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i2.1303

Abstract

Indonesia is one of the largest countries producing palm oil. The problems that often arise in oil palm seedlings are pest attacks. Oil palm seedlings diagnosed with pest attacks can be characterized by existing symptoms. Based on the phenomena that occurred, researchers created a system for diagnosing pests in oil palm seed plants, so that they could diagnose quickly and find solutions to pest problems in oil palm seed plants. This research uses a development method called waterfall. The design of this research is to plan an Expert System for Diagnosing Pests on Oil Palm Seed Plants Using the Certainty Factor Method. Based on the tests that have been carried out, the results are that the community or farmers on oil palm plantations can easily diagnose pests on oil palm seed plants in real time as long as they are connected to the internet to help diagnose pests on oil palm seed plants. Testing of the expert system showed a high level of accuracy in diagnosing pests on oil palm seedlings. The level of suitability accuracy reached more than 90%. With this expert system, oil palm plantation management can be improved significantly. Early detection of pest attacks will reduce the losses incurred and allow more effective preventive measures to be taken.
Implementation of a Decision Support System in Selecting the Best Mid-Range Smartphone Using the Ahp and Moora Methods Ritonga, Bayu Surbana; Sriani, Sriani
Journal La Multiapp Vol. 5 No. 2 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i2.1316

Abstract

The rapid development of information technology, especially the internet and smartphones, has changed the paradigm in the way humans interact and access information. In Indonesia, internet use has soared, with most access via smartphones. The growth of the mid-range smartphone market creates the need for a more in-depth assessment in selecting suitable products. To help potential buyers, this research proposes the use of a decision support system (DSS) that uses the Analytical Hierarchy Process (AHP) and Multi-Objective Optimization by Ratio Analysis (MOORA) methods. AHP is used to determine the weight of the criteria, while MOORA is used to provide recommendations for smartphone selection. From the test results on 87 types of mid-range smartphones using a combination of these two methods, the recommendation results for mid-range smartphones with the Realme GT Neo 3T brand as first place, Realme GT Neo 3 as second place, and Poco F4 as third place.
Implementation of Siemens S7-1200 PID Control on Festo Labvolt 3531 Plant Level Controller with Topkapi SCADA Using Modbus Communication Protocol Supriyanto, Hadi; Rizal, Muhammad Nursyam; Wibowo, Sugeng
Journal La Multiapp Vol. 5 No. 2 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i2.1356

Abstract

Plant Festo LabVolt 3531 is a DCS, SCADA and process control system trainer based on the Allen Bradley Controllogix 5572 PLC and Factorytalk View SCADA. This research aims to provide another controller solution that can be used on the Festo Labvolt 3531 plant besides the Allen Bradley Controllogix 5572 PLC and FactoryTalk View SCADA. So that students have alternatives and variations of other technologies in learning. In this research, the Siemens S7-1200 PLC was used as a replacement for the Allen Bradley Controllogix 5572 PLC and Topkapi SCADA as a replacement for FactoryTalk View SCADA. As validation of the test, PID control was used to regulate the water level in both tubes at the Festo Labvolt 3531 plant. The test results for several specified height levels showed that the Siemens S7-1200 PLC with PID control integrated into Topkapi SCADA using the mobus communication protocol was successfully implemented , where the resulting control response has an average steady-state error of less than 2% and the delay between the interface and the device on the plant is 0s.

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