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Journal of Applied Research In Computer Science and Information Systems
ISSN : -     EISSN : 2988294X     DOI : https://doi.org/10.61098/jarcis
Journal of Applied Research In Computer Science and Information Systems (JARCIS) is dedicated to publishing and disseminating research results and theoretical discussions, applied analysis, and literature studies in the fields of information technology, computer science, and information systems. The scope of the Journal of Applied Research In Computer Science and Information Systems (JARCIS) is as follows: 1. Information Systems 2.Computer Education 3.Adaptive and Self-Organizing Systems 4.Internet of Things 5.Digital Libraries 6. Agents and Multi-Agent Systems 7.Algorithms and Analysis of Algorithms 8. Bioinformatics 9. Robotics 10.Artificial Intelligence 11.Blockchain 12.Cryptocurrency 13.Network Science and Online Social Networks 14.Computer Vision 15.Computational Linguistics 16.Brain-Computer Interface 17.Digital Innovation 18. Information Management 19. Information Security Management 20. ICT for Development 21. E-learning 22. E-Commerce 23. Information Technology
Articles 5 Documents
Search results for , issue "Vol. 1 No. 2 (2023): Desember 2023" : 5 Documents clear
Application of the Association Method Using FP-Growth Algorithm to Find Pattern Of Medicine Purchasing Transactions at Pharmacy Nugraha, Joanna; Yustia Purnamawati, Chanadya
Journal of Applied Research In Computer Science and Information Systems Vol. 1 No. 2 (2023): Desember 2023
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jarcis.v1i2.50

Abstract

This research was conducted with the aim of finding patterns of medicine sales transactions at the Family Pharmacy so that it can be used as a reference for providing medicine stock so that service to consumers can be improved. This study uses the association method by implementing the FP-Growth algorithm. Through the association method, patterns of medicine purchases will be found in the form of medicine that are purchased together. Then, this study wants to test the FP-Growth algorithm in finding patterns of medicine purchases. The data used is data for the second half of 2021. This dataset consists of 20,266 transactions and 1,166 attributes in the form of medicine. The results of the study by setting different minimum support and minimum confidence values, 7 association rules are obtained with a minimum support value of 10% and a minimum confidence of 90% and the accuracy value of each rule formed is 2,683. The level of association rules formed is strong because it shows more than 1. After knowing the association rules that are formed, these rules will be used as a reference in providing medicine stocks and medicine recommendations.
Recommendations for Selecting Houses in the Bintaro Area Using the AHP Method for Property Sales Companies Zulfitriansyah, Fadillah; Sutomo, Rudi
Journal of Applied Research In Computer Science and Information Systems Vol. 1 No. 2 (2023): Desember 2023
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jarcis.v1i2.57

Abstract

This research aims to overcome customer difficulties in choosing a house in the Bintaro area, especially in the context of Property Sales Companies. Customers often face challenges in navigating the process of selecting a home that fits their preferences and needs. The complexity of very complicated and unstructured situations is one of the main obstacles, so an approach is needed that can simplify the process. In order to overcome these problems, this research proposes the application of two main approaches, namely Process Hierarchy Analysis (AHP) and system prototype development. Using AHP, variables such as price, land area, building area, number of bedrooms, and distance from the city center were identified as key elements that were the focus of the research. A criteria priority matrix will be created based on these variables to become the basis for determining optimal housing choices. In addition, this research also tries to overcome barriers in housing selection by adopting a prototype approach to system development. Thus, it is hoped that the system developed can provide a more effective and efficient solution in simplifying the home selection process for customers. By considering the findings of the AHP calculation method. It is hoped that this research can make a significant contribution in improving the house selection process in the Bintaro area. With better solutions, it is hoped that Property Sales Companies can more effectively overcome challenges in meeting customer preferences, thereby increasing their satisfaction.
Design of an IoT-Based Automatic Switching System Using Blynk Software Gregorius Radithya, Linus; Saputri, Fahmy Rinanda; Hadi Prasetya, Indra
Journal of Applied Research In Computer Science and Information Systems Vol. 1 No. 2 (2023): Desember 2023
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jarcis.v1i2.59

Abstract

Optimizing electrical energy consumption is imperative to preserve ecological balance and conserve finite natural resources. One major contributor to inefficient electrical energy consumption is the indiscriminate use of electronic devices. Lighting systems, for example, fundamental in modern living, are often left on unnecessarily, resulting in substantial energy waste. To address this issue, we've introduced an automatic lighting control system that automates light activation and deactivation based on user-defined schedules, promoting energy efficiency and responsible energy use. The primary objective of our research is to design and deploy a Blynk-controlled IoT-based wireless switch control system that enhances energy efficiency by efficiently managing lighting for example conditions according to user-defined parameters. This approach minimizes energy waste, regulates current supply to lighting fixtures, and encourages responsible electronic device usage. Moreover, the system aligns with government initiatives for sustainable energy use and environmental conservation. This paper delves into the detailed design, development, and practical applications of the IoT-based Blynk-controlled wireless switch control system, emphasizing its technical aspects and underscoring the substantial benefits it offers to users and the environment. Our study represents a significant step towards a more sustainable and energy-efficient future, driven by innovative technology and responsible energy management.
Influence of Augmanted Reality Text Learning Media Description Of The Learning Independence of Class Students VII SMP in Central Lampung Fauziah, SM. Wardatul; Sunarti, Iing Sunarti; Widodo, Mulyanto Widodo; Rahmayanthi, Ranni; Samhati, Siti
Journal of Applied Research In Computer Science and Information Systems Vol. 1 No. 2 (2023): Desember 2023
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jarcis.v1i2.60

Abstract

This research aims to develop Augmented Reality learning media descriptive text material for class VII SMP and testing the effect of using Augmented Reality learning media for descriptive text on the learning independence of class VII SMP students in Central Lampung. The method used to develop Augmented Reality learning media is method development of Borg and Gall. The population in this study were class VII students of SMP Negeri 3 Terbanggi Besar for the 2023/2024 academic year with a sample size of 75 students. This research uses four data collection techniques, namely interviews, observation, questionnaires and tests. The results of development research show two things. First, the Augmented Reality learning media developed with the Borg and Gall concept was declared feasible by validators with an average score of 82,11%. Second, based on the feasibility test of the developed Augmented Reality learning media , an average score of 90.8 was obtained which is included in the very feasible category; The effectiveness test using N-Gain obtained a value of 0.74 which is included in the high category. This means that Augmented Reality learning media is suitable for use in learning descriptive text material and has been proven to be effective in improving students' reading comprehension abilities of descriptive text.
Development of An Application Transforming Handwriting into Digital Form using CNN Josulin, Claudio; Kurniawati, Yulia Ery
Journal of Applied Research In Computer Science and Information Systems Vol. 1 No. 2 (2023): Desember 2023
Publisher : PT. BERBAGI TEKNOLOGI SEMESTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61098/jarcis.v1i2.87

Abstract

This study aims to develop an application to recognize and predict handwriting using a Convolutional Neural Network (CNN) with ResNet50 architecture. The software development life cycle (SDLC) is an incremental model with two increments. The first increment is used to build the model, and the second increment is used to build the user interface. The data used in this study is handwritten images of Latin uppercase, Latin lowercase, and Arabian numerals with 62 classes. The training data used English Handwritten Characters by Dhruvil Dave from Kaggle Dataset. Data was trained and validated using k-fold cross-validation with tenfold and ten epochs for each fold. The model has an accuracy, precision, recall, and f1-score of 66.33%, 73.4%, 66.2%, and 66%, respectively. The functional application can work as expected based on the black box testing. The developed application can predict handwriting with up to 50% accuracy.

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