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Dian Anggraini
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seict@upi.edu
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INDONESIA
Journal of Software Engineering, Information and Communication Technology
Published by Universitas Pendidikan Indonesia
ISSN : 27741656     EISSN : 27741699     DOI : https://doi.org/10.17509/seict
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering
The Journal of Software Engineering, Information and Communication Technology promotes research in the broad field of science and technology (including such disciplines as Agriculture, Environmental Science, etc.) with particular respect to Indonesia, but not limited to authorship or topical coverage within the region. Contributions are expected from senior researchers, project managers, research administrators and PhD students at advanced stages of their research, representing both public organizations and private industry. Equally, the journal if intended for scholars and students, reseachers working at research organizations and government agencies, and also for enterprises undertaking applied R&D to lead innovations. The editorial contents and elements that comprise the journal include: Theoretical articles Empirical studies Practice-oriented papers Case studies Review of papers, books, and resources. As far as the criteria for evaluating and accepting submissions is concerned, a rigorous review process will be used. Submitted papers will, prior to the formal review, be screened so as to ensure their suitability and adequacy to the journal. In addition, an initial quality control will be performed, so as to ensure matters such as language, style of references and others, comply with the journals style. Focus And Scope Software engineering Information technology Data Science AI/ML Cloud Computing, Big Data and Social Computing Image Processing Applied Informatics Database Technologies and Applications Digital Information Computation and Retrieval Information Security Human Computer Interaction Multimedia and Game Data Mining Ubiquitous Computing Business Intelligence and Knowledge Management Iot Software Engineering Education
Arjuna Subject : Ilmu Komputer (semua kategori) - Perangkat Lunak
Articles 7 Documents
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Search results for , issue "Vol 4, No 1: June 2023" : 7 Documents clear
Application of Deep Learning using Convolutional Neural Network (CNN) Algorithm for Gesture Recognition Ahmad Abuzar Alhamdani
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 4, No 1: June 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (396.587 KB) | DOI: 10.17509/seict.v2i1.34673

Abstract

Gesture recognition is a fascinating method of human-computer interaction that goes beyond traditional means such as keyboards, pointers, and joypads. In gesture recognition, Convolutional Neural Network (CNN) algorithms are utilized in Deep Learning to train models using datasets comprising gesture images. The training process involves pattern recognition and identification of crucial features from gesture images, followed by evaluation to measure the model's accuracy. Gesture recognition holds immense potential across various fields, including human-computer interaction, gaming, healthcare, and autonomous vehicles, and continues to be a focus of research and development in the future.
A Star (A*) Algorithm Implementation to Measure Shortest Distance from Universitas Negeri Medan to Kualanamu International Airport Dedy Kiswanto
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 4, No 1: June 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v4i1.59213

Abstract

Searching for the shortest path is a problem that often occurs in everyday life, to determine the best distance some information is needed such as the value / cost between points to be visited. The A* (A Star) algorithm is one of the optimal algorithms in the shortest path search category. This algorithm is very good as a solution to the pathfinding process so that it can save time and money. This research was conducted to determine the shortest distance from Medan State University to Kualanamu International Airport using the A* (A Star) algorithm. The method used in this study is by collecting data using Google Maps, building a graph model as a map representation, calculating the shortest distance and evaluating it. The research results obtained show the accuracy of the A* algorithm in determining the shortest route from Medan State University to Kualanamu Airport where this can save time and money on the way.
Topmix Permeable : An eco-friendly Innovation to tackle Flooding in Urban Areas Fairus Salimi
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 4, No 1: June 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v4i1.47106

Abstract

Flooding is a natural disaster that has occurred most often in indonesia since long ago, especially in the rainy season. the consequences of this flood can be a disaster that causes risks that adversely affect the community. Therefore as one of the solutions to water absorption on a small amount of land and high rainfall resulting in flooding, an innovation in manufacturing in the field of environmentally friendly construction was developed, namely Topmix Permeable asphalt. topmix permeable asphalt is called porous asphalt. This porous asphalt has larger pores than normal asphalt. with a porous surface, it allows water to flow and dissipate naturally into the soil. this research method is obtained from literature studies, data analysis so that the conclusion is obtained from the innovation of environmentally friendly permeable topmix asphalt to prevent flooding. porous asphalt innovations that are effective and efficient in workmanship and cost, make environmentally friendly asphalt that can store water in the ground and reduce the risk of flooding, especially in urban areas.
Sentiment Analysis of Flagship Smartphones on Social Media Using Python TextBlob And Naive Bayes Algorithm Alif Ilman Naifan; Muhammad Farhan Fauzaan; Riyandi Firman Pratama
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 4, No 1: June 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v4i1.59633

Abstract

Social media plays a crucial role in the advancement of organizations, industries, and businesses nowadays. Almost everyone is connected to social media. Each individual can interact and exchange knowledge due to the fusion of technology and social relationships. Sentiment analysis is a technique that allows extracting information from users expressing emotions, perspectives, and opinions on the internet. One strategic sector for implementing sentiment analysis is the technology sector, especially the smartphone industry. The wide range of smartphone variants available today poses a problem for individuals in finding the best smartphone product. The sentiment analysis of flagship smartphones conducted in this article aims to find the best solution between two flagship smartphones from renowned manufacturers, namely the Samsung S22 Ultra and the Xiaomi 12 Pro. The data is collected from various social media platforms such as Twitter, YouTube, and GSMArena. The collected data is then analyzed using Python TextBlob, and the analysis results in negative, positive, and neutral sentiments displayed through various visualizations. The final outcome is the assessment of Net Brand Reputation, which evaluates the reputation of a brand across multiple social media platforms.
Development of Learning Media "Geoscan" Related to Geographical Characteristics of Indonesia as an Archipelago and Its Influence on Aspects of Life in Grade V Theme 1 Alfiana Silvi Damayanti; Amalia Nur Alam; Anin Syafatia Rahma; Islam Dewana Bintang; Umi Amiroh Dwi Herawati
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 4, No 1: June 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v4i1.59647

Abstract

The use of the application aims to make the essence of learning effectively received by students, one of which we will discuss is the material "Geographical Characteristics of Indonesia as an Archipelago and its Effect on Life". Geographical conditions reflect an integration of regions, namely how the regions are arranged by physical and social symptoms. Therefore, this research discusses the Multimedia Development Life Cycle (MDLC) method. From the research that has been done, it can be concluded that making an application called GEOSCAN by utilising barcode scans in learning grade V Theme 1 SD about "Geographical Characteristics of Indonesia as an Archipelago and its Influence on Life." and in grade 5 social studies subjects about "Geographical characteristics of Indonesia as an archipelago / maritime and agrarian country and its influence on economic, social, cultural, communication and transportation life". This research is intended to help facilitate delivery and achieve learning objectives. This application is made through Unity, in its use students can open the application, scan maps, and access material on the geographical conditions of the five major islands in Indonesia.
Design of Augmented Reality-Based Food Chain Learning Media for Grade V Elementary School Students Alfia Dwi Handayani; Cita Dewi Pebriyana; Daniel Ahmad Gymanstiar; Indriani Nur Amanah; Rohma Milya Utami
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 4, No 1: June 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v4i1.59635

Abstract

This study aims to produce a design of science learning media for grade 5 elementary school students regarding the food chain using an application made and based on Augmented Reality (AR). Multimedia Development Life Cycle (MDLC) is the method used in this study which consists of six stages, namely concept, design, material collecting, assembly, testing, and distribution. The subjects of this study were 5th grade elementary school students. Data collection techniques based on literature and literature. The software we use is Unity to create 2D or 3D objects by entering marker images into the vuforia engine database. After the application is built and tested on an android device, blackbox testing is carried out to assess software requirements and specifications. This design produces interactive learning media that is equipped with materials and supported by AR technology. The results of this study indicate that AR technology in grade 5 elementary school science learning media can be designed with more attractive and interactive visuals.
Determination of Mango Fruit Maturity on the Tree Based on Digital Image Processing and Artificial Neural Networks Aditia Sanjaya; Ichwanul Muslim Karo Karo
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 4, No 1: June 2023
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v4i1.52916

Abstract

Until now, humans have determined the ripeness of mangoes on the tree by hand. Losses are caused by the insecurity of the human state and a misunderstanding of the maturity level of mangoes. In the future, a system that can detect the ripeness of mangoes on the tree will be required. This research provides a preliminary examination of the technology's implementation. The study created a computerized image processing method for determining the ripeness of mangoes on the tree. The neural network backpropagation algorithm was employed in this investigation. The feature extraction model employed in the image is a hybrid of the RBG and HSV models. The best accuracy level is 72%, with an 80:20 ratio of test data to training data. 

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