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Journal of Engineering and Science Application
Published by Institute Of Advanced Knowledge and Science
ISSN : 30470544     EISSN : 30469627     DOI : https://doi.org/10.69693/jesa
Core Subject : Science, Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT
Journal of Engineering and Science Application (JESA) is published by the Institute Of Advanced Knowledge and Science in helping academics, researchers, and practitioners to disseminate their research results. JESA is a blind peer-reviewed journal dedicated to publishing quality research results in the fields of Applied Sciences, Engineering and Information Technology. All publications in the JESA Journal are open access which allows articles to be available online for free without any subscription. JESA is a national journal with e-ISSN: 3046-9627, and is have fee of charge in the submission process and review process. Journal of Engineering and Science Application publishes articles periodically twice a year, in April and October. JESA uses Turnitin plagiarism checks, Mendeley for reference management and supported by Crossref (DOI) for identification of scientific paper.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 1 No. 1 (2024): April" : 5 Documents clear
Harnessing Machine Learning for Stock Price Prediction with Random Forest and Simple Moving Average Techniques Priyatno, Arif Mudi; Ningsih, Lidya; Noor, Muhammad
Journal of Engineering and Science Application Vol. 1 No. 1 (2024): April
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v1i1.1

Abstract

This paper explores the application of machine learning in predicting stock price trends, specifically for PT Bank Central Asia Tbk (BBCA) shares, using the Random Forest Regression model and Simple Moving Average (SMA) techniques. The SMA parameters ranged from 3 to 200 days, aiding in forecasting the price trends as either rising, sideway, or declining. To achieve accurate and generalizable predictions, the data normalization process was implemented using the MinMax scaler. The methodological framework adopted a time series cross-validation (CV) approach, executed 10 times with a future test window of 40 days, ensuring the robustness and reliability of the predictive model. The model's performance was systematically evaluated based on metrics of accuracy, recall, precision, and F1-score. Results from the cross-validation series indicated varied performance, with the most notable achievements in the 9th and 10th iterations, where both demonstrated an F1-score surpassing 0.745 and 0.808 respectively, and similar levels of accuracy and recall at 0.825. These high F1-scores signify a strong harmonic balance between precision and recall, underscoring the model's capability to effectively predict the stock price movements of BBCA. The findings affirm the potential of utilizing advanced machine learning techniques like Random Forest in conjunction with SMA indicators to enhance the predictability of stock market trends, offering valuable insights for investors and financial analysts.
Comparison of Similarity Methods on New Student Admission Chatbots Using Retrieval-Based Concepts Priyatno, Arif Mudi; Prasetya, M. Riko Anshori; Cholidhazia, Putri; Sari, Resy Kumala
Journal of Engineering and Science Application Vol. 1 No. 1 (2024): April
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v1i1.2

Abstract

A college's students are an essential component. The college always opens registration for new students each year. Every year, more than 1,000 prospective new students register. Because of this, the new student admissions committee is constantly overwhelmed when responding to campus-related questions. As a result, developing a chatbot to assist new students is necessary. The best similarity method is needed for the development of a chatbot using a retrieval-model approach. The New Student Admission Chatbot and the Similarity Method are compared in this study using the Retrieval-Based Concept. The cosine, Jaccard, dice, euclidean, Manhattan, Canberra, and Chebyshev similarity methods are compared. In the context of Universitas Pahlawan Tuanku Tambusai, the data used are information about new students as well as accreditation for study program. There are 41 pieces of information used. Labels and information make up data. According to the test results, the dice and cosine similarity methods are the most effective. On all tested thresholds, dice and cosine similarity achieved an f1-score above 80%. Recall produces extremely optimal results, including 100%.Over 75% of the time, good results are reliably achieved. This demonstrates that the retrieval-model concept can be applied
Information System Design of Sales Promotion and Production Inventory Management using Fifo Method Putra, Tri Andi Eka; Tamara, Selvi Yona; Mayefis, Reska
Journal of Engineering and Science Application Vol. 1 No. 1 (2024): April
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v1i1.3

Abstract

Toko Kerupuk Sanjai Bintang Baru This company produces and sells its products to consumers, but starting from production, production and sales inventory management still fully uses a manual system, starting from calculating production profits, production sales policies based on expiration dates, as well as the sales system. still conventional. The methods used in this research are interviews, observation, literature study, analysis, system design, testing, and implementation. From this research it is hoped that the information system created can provide convenience in the implementation of the Sanjai Bintang Baru Store will improve its production methods and sales promotion, so that collaboration with information system technology can help and provide benefits to the Sanjai Bintang Baru Store itself.
Application Internet of Things in Controlling Fan Based Telegram Febriyana, Karisman; Saepuloh, Asep
Journal of Engineering and Science Application Vol. 1 No. 1 (2024): April
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v1i1.4

Abstract

IoT is a technology that is currently developing. Iot is used to control an electronic device remotely through a certain device. One of the IoT supporting devices for controlling electronic devices is Telegram. This study aims to create an Internet of Things (IoT) Application System in Telegram-Based Fan Control. The method used to create this system is to apply IoT to fans using the Arduino esp8266 which is a wifi module that functions as an additional microcontroller such as Arduino so that it can connect directly to wifi and make TCP/IP connections. This tool is used as a tool to process input data that will be sent to the output device on the system. This system also consists of a relay prototype that is used to control the electric current path on the fan. The results of the study show that smart phones can also be used to control electronic devices such as fans and other electronic devices.
Design of Public Opinion Monitoring Information System in Online Media Pratama, Aryo; Ikhwan, Ali
Journal of Engineering and Science Application Vol. 1 No. 1 (2024): April
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v1i1.5

Abstract

The Office of Communication and Information of North Sumatra has so far carried out the process of managing public information analysis manually using Microsoft Excel. This is of course less efficient considering the large number of incoming articles and the lack of data that may be out of sync. For this reason, an information system was created that can monitor public opinion in online media to facilitate the work of staff in carrying out the process of monitoring public opinion so that it is more efficient and effective so that it can improve service quality better. . This system is designed using Visual Studio Code as a text editor, PHP programming language as a web builder, Bootstrap as an interface design, and MySQL as a database on the system. This research produces a Public Opinion Monitoring Information System in Web-Based Online Media.

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