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JOINCS (Journal of Informatics, Network, and Computer Science)
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 25415123     DOI : https://doi.org/10.21070/joincs
Core Subject : Science,
Computer Science & IT
JOINCS publishes original research papers in computer science and related subjects in system science, with consideration to the relevant mathematical theory. Applications or technical reports oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. JOINCS also welcomes research contributions on the traditional subjects such as : Theory of automata, algorithms and its complexity. But not limited to contemporary subjects such as: • Big Data • Internet of thing (IoT) • Parallel & distributed computing • Computer networks and its security • Neural networks • Computational learning theory • Database theory & practice • Computer modelling of complex systems • Decentralized Systems • Information Management in the Enterprise Context • Database related technical solutions for Information Quality • Information Quality in the context of Computer Science and Information Technology • Game Techology • Information System
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 4 Documents
 1 
Search results for , issue "Vol 2 No 1 (2019): April" : 4 Documents clear
Education Game 'Litter Rush' Care For The Environment From Garbage Android Based Muhamad Sarwo Edy; Cindy Taurusta
JOINCS (Journal of Informatics, Network, and Computer Science) Vol 2 No 1 (2019): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2245.603 KB) | DOI: 10.21070/joincs.v1i2.518

Abstract

The purpose of this study was to create an educational game for children to dispose of waste. The method used is the Research and Development method using the ADDIE model. The result is a shooter type educational game about collecting interesting rubbish as an educational media and a hobby dealer. The conclusion is that the ADDIE Model is very helpful, in planning the ADDIE model is able to accommodate things conveyed by media experts and material experts so that they can be collaborated with user needs at the evaluation stage. The achievement of 4 aspects including functionality, reliability, compability and playability reached 96.2% in the very feasible category.
"Rollerblade" game As an Effort to Protect the Environment Multiplafrom based Muhammad Alfin Fikri; Cindy Taurusta
JOINCS (Journal of Informatics, Network, and Computer Science) Vol 2 No 1 (2019): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1367.4 KB) | DOI: 10.21070/joincs.v1i2.519

Abstract

The purpose of this research is to make a smarthphone-based game application media that has been made for them to be more aware of the importance of preserving the environment. Smartphone itself is almost owned by everyone. The smartphone also has an extraordinary ability to play games that are like in video games but can be obtained on a smartphone. The method used is the Research and Development method. The results of the application of this game were directly tested on the field (Car Free Day) by taking the children in the morning and the results were satisfying, on average those who played were very happy and did not feel bored at all. The result is that the existence of the RollerBlade Game is expected to be used as an alternative learning that can later make children aware of the importance of protecting the environment in the lightest way, namely taking the trash that is on the road.
Design and Build English Spell Application with Image Objects as an Android-Based Early Childhood Learning Media Andi Hutami Endang; Kamil Malik; Fitria Fitria
JOINCS (Journal of Informatics, Network, and Computer Science) Vol 2 No 1 (2019): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1606.262 KB) | DOI: 10.21070/joincs.v1i2.520

Abstract

The purpose of this research is the application of games as educational media, there is no doubt that educational games can support the educational process because educational games are superior in several aspects when compared to conventional learning methods. This English spelling educational game uses object images as an Android-based early childhood learning media. Its superiority lies in its visualization and attractive appearance which aims to train Listen and Spell in English.The method used is the waterfall method which includes 5 stages namely needs analysis, system design, writing program code, testing programs and implementing programs. The result of this educational game will later display four categories of pictorial questions namely Carnivores, Herbivores, Fruits, Transportations and equipped with sound for each picture played by a single player (Single Player).
Face Detection Using Linear Discriminant Analysis (Lda) Method and Support Vector Machine (Svm) Fajar Hariadi; Riwa Rambu Hada Enda
JOINCS (Journal of Informatics, Network, and Computer Science) Vol 2 No 1 (2019): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (914.042 KB) | DOI: 10.21070/joincs.v1i2.521

Abstract

Safety and comfort are basic needs that must be met by all humans. People use CCTV that is often used to monitor public areas that have many people. Initially images from CCTV cameras were only sent via cable to a certain monitor room and needed direct supervision by security personnel with still low image resolution. One method for identifying faces is the Linear Discriminant Analysis (LDA) method. LDA is a method to find a linear subspace that maximizes the separation of two classes of patterns according to Fisher Criterion (fisher criteria weight). This study aims to detect faces with the Linear Discriminant Analysis (LDA) method as extraction features and classify facial images using the Support Vector Machine (SVM) method. The conclusion of this study is that the results obtained from face detection get a fairly high percentage of 84.2% for detected faces and 15.8% for undetectable faces and the results obtained are influenced by a fairly good facial image and image cropping process good and unchanging face position which makes it easy to detect faces.

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