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Sri Ngudi Wahyuni
Contact Email
ijcsr@subset.id
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+6282138594141
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ijcsr@subset.id
Editorial Address
Jl. Gatotkaca, Janti Buana Asri 4 Nomor B7, Jurugentong, Banguntapan, Bantul, Yogyakarta, Indonesia
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INDONESIA
The Indonesian Journal of Computer Science Research
Published by Hemispheres Press
ISSN : -     EISSN : 29639174     DOI : https://doi.org/10.59095/ijcsr
Core Subject : Science,
Computer Science & IT
The Indonesian Journal of Computer Science Research (IJCSR) adalah jurnal yang memuat naskah ilmiah dari peneliti, akademisi, maupun praktisi, berupa hasil penelitian, tinjauan pustaka ( literature review ) dan/atau bentuk karya tulis ilmiah lainnya, yang khusus mengkaji bidang Ilmu Komputer antara lain sebagai berikut : Computational and algorithm Numerical Methods and Algorithms Autonomic Computing Big Data Computer and Network Architecture Cloud Computing Cluster Computing Workflow Design and Practice Data Mining Artificial Intelligence Web-Based Computing Scientific Visualization Computer Graphics Pattern Recognition Virtual Reality Augmented Reality Geometric Modeling Industry 4.0 Bioinformatics Digital Forensic
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
 1 
Search results for , issue "Vol. 2 No. 2 (2023): July" : 6 Documents clear
PENGEMBANGAN SISTEM INFORMASI PENJEMPUTAN SAMPAH MENGGUNAKAN GLOBAL POSITIONING SYSTEM (GPS) BERBASIS ANDROID DI YOGYAKARTA Arya Fito Pramanda
The Indonesian Journal of Computer Science Research Vol. 2 No. 2 (2023): July
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59095/ijcsr.v2i2.53

Abstract

GPS technology is a satellite-based navigation technology with more than 30 satellites orbiting 20,000 km above the earth's surface. GPS is widely used for various purposes, such as directions and determining the location point of a place. In this study using GPS technology to determine the location of garbage pickup. Garbage is a common problem in most countries, including Indonesia. Garbage is a source of disease if left alone. Limited access to landfills makes people only throw garbage in certain places that are not actually landfills. The location of the garbage is unknown to the janitor and if left unchecked, there will be a buildup of garbage. The use of geocoding technology in the Global Positioning System (GPS) can make it easier for people to call cleaners by providing the location of garbage collection sites that were previously unknown to cleaners. To attract people to use this application, there are points earned after collecting garbage. These points can be exchanged into credit, E-Wallet balance, or retail vouchers. With this application, garbage that accumulates in places that were previously difficult to reach by cleaners can be handled faster.
PENGEMBANGAN SISTEM INFORMASI RESERVASI HOMEYKU DI KALIURANG BERBASIS WEBSITE MENGGUNAKAN METODE WATERFALL Arnika Fitria Diah Utami; Muhammad Ridwan; Abdul Khakim; Ervira Diva Grafvera
The Indonesian Journal of Computer Science Research Vol. 2 No. 2 (2023): July
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59095/ijcsr.v2i2.61

Abstract

The aim of this research is to develop a Web-based Homeyku Reservation Information System in Kaliurang using the Waterfall method. This system is designed to provide users with an efficient and easy-to-use reservation experience. The Waterfall method is used in the development of this system, which involves the stages of requirements analysis, system design, implementation, testing and maintenance. Requirements analysis is carried out to identify user requirements and system technical requirements. The system design includes the appearance of the user interface, database structure and business logic. The implementation phase involves building a website-based system using the appropriate technology and programming language. Tests are carried out to ensure the system works properly and according to requirements. The maintenance phase is conducted to periodically monitor the system, address issues, and upgrade features if needed. By implementing the Waterfall method, it is hoped that the Homeyku reservation information system in Kaliurang can provide a satisfying reservation experience for users and make it easier for managers to manage the reservation process.
PENGEMBANGAN VIDEO EDUKASI ANTISIPASI GEMPA BUMI MENGGUNAKAN METODE MOTION GRAPHIC Ghita Octarisa Angelia
The Indonesian Journal of Computer Science Research Vol. 2 No. 2 (2023): July
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59095/ijcsr.v2i2.62

Abstract

Earthquakes are natural phenomena that frequently occur in various parts of the world. To enhance public awareness about the importance of understanding and preparing for earthquakes, the use of educational videos has become a popular approach. In this study, we propose the development of an educational video using the motion graphic technique to improve the effectiveness of the messages conveyed to the audience. This research focuses on the development of an educational video that visually explains the steps for earthquake preparedness using captivating motion graphic techniques. The motion graphic method utilizes animations, moving graphics, and other visual effects to simplify and present complex concepts and information in an engaging manner. The aim is to enable the audience, particularly children and teenagers, to easily comprehend the information and necessary actions during an earthquake. Keywords : Earthquakes, Motion graphic, Education
PERANCANGAN SISTEM INFORMASI MANAJEMEN PERUSAHAAN “GEN-Z” MENGGUNAKAN METODE AGILE BERBASIS WEBSITE Ega Bagus Purnama; Germecca Germecca; Niza Aidha Wardhani; Nurul Azizah
The Indonesian Journal of Computer Science Research Vol. 2 No. 2 (2023): July
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59095/ijcsr.v2i2.66

Abstract

The development of information technology has had a significant impact on modern companies, affecting the way companies manage information and carry out their operations. In the digital era dominated by generation Z, it is important for companies to adopt an effective and efficient management information system to support their business activities.The purpose of this research is to design a website-based management information system for "Gen-Z" companies using Agile methods. The Agile method was chosen for its flexibility and ability to handle rapidly changing needs in a dynamic business environment.This research will involve the stages of needs analysis, system design, development, implementation, and evaluation. The needs analysis will involve a case study and interviews with stakeholders in the "Gen-Z" company to understand specific business requirements. System design will encompass user interface design, database structure, and system architecture. System development will be carried out iteratively using an Agile approach. The development team will work in short sprints, focusing on developing the most important features that provide direct business value. The system will be implemented as a website accessible to internal users of the "Gen-Z" company through a web browser. System evaluation will involve end-user involvement to assess the effectiveness, usability, and performance of the system. In this phase, user feedback will be collected, and necessary system improvements will be implemented. It is expected that the design of the website-based management information system using the Agile method will provide the "Gen-Z" company with a competitive advantage by improving operational efficiency, information accessibility, and responsiveness to market changes. Additionally, this research can also provide insights and recommendations for other companies looking to adopt Agile methods in developing their management information systems.
SISTEM PENUNJANG KEPUTUSAN PEMILIHAN SMARTPHONE BERBASIS WEBSITE DENGAN METODE SIMPLE ADDITIVE WEIGTHING Andika Fakhrizal; Sri Ngudi Wahyuni; Rosyidah Jayanti Vijaya
The Indonesian Journal of Computer Science Research Vol. 2 No. 2 (2023): July
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59095/ijcsr.v2i2.75

Abstract

Along with the development of smartphones in Indonesia, people in various circles are very dependent on the use of smartphones. Especially with the current pandemic making people depend on the use of smartphones. With the various brands, types, and specifications of smartphones, people are confused about which smartphones to choose according to their respective needs. From these problems, a website-based decision support system is needed to help and facilitate people in choosing the right smartphone model according to the criteria. The criteria that will be included in this system are price, brand, RAM, storage, camera, battery screen, and features. The purpose of this thesis is to build a system that can help people find smartphones that match the required criteria. This system uses the Simple Additive Weighting (SAW) method which is used to normalize the weights of the inputted criteria and to determine the highest smartphone value as a recommendation option. The results of this study are the creation of a smartphone selection decision support system with the website-based Simple Additive Weighting method that can provide recommendations for smartphone types according to their respective needs.
PENDEKATAN DEEP LEARNING MENGGUNAKAN METODE LSTM UNTUK PREDIKSI HARGA BITCOIN Hastari Utama
The Indonesian Journal of Computer Science Research Vol. 2 No. 2 (2023): July
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59095/ijcsr.v2i2.77

Abstract

Bitcoin price prediction involves analyzing a variety of factors, including market sentiment, trading volume, economic news, technological developments, and other factors that affect supply and demand. Both technical and fundamental analysis methods can be used to try to predict Bitcoin price movements. In this Bitcoin price prediction using a Deep Learning approach with the chosen method is LSTM. The LSTM (Long Short-Term Memory) method is a popular type of Recurrent Neural Network (RNN) model for predicting the price of Bitcoin and other financial assets. LSTM can solve the problem of price movements that have long-term dependencies, which traditional RNN models cannot handle well. LSTMs have the ability to "remember" information from longer periods of time, thereby recognizing complex patterns and trends in historical data. In this study the prediction period used a dataset from March 1 2016 to November 24 2018. This study used an epoch parameter of 10 with a learning rate of 0.001. In addition, the batch size parameter used is 25 with layers only. The evaluation results of this study resulted in an RMSE of 77.74 and an MAE of 278.33. This shows that the RMSE value is small because the Bitcoin price range is too far.

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