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Eka Wahyu Hidayat
Informatics Engineering, Faculty Of Engineering, Universitas Siliwangi, Tasiikmalaya, Indonesia
Computer Science & IT

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Aplikasi Pengenalan Bahasa Arab dan Inggris untuk Anak-Anak Berbasis Android Hilman Septian; Eka Wahyu Hidayat; Alam Rahmatulloh
JOIN (Jurnal Online Informatika) Vol 2 No 2 (2017)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v2i2.100

Abstract

Bahasa adalah alat komunikasi yang paling penting bagi manusia, karena bahasa berfungsi sebagai alat penyampai pesan dari seseorang kepada orang lain. Salah satu bahasa yang popular di kalangan masyarakat Indonesia adalah bahasa Inggris dan bahasa Arab. Pembelajaran bahasa dengan cara konvensional biasanya dilakukan dengan cara tatap muka langsung dengan guru di sekolah atau di majelis ilmu. Adanya teknologi berbasis mobile saat ini yang sedang populer yaitu Android dapat membantu proses pembelajaran bahasa, sehingga pembelajaran bahasa inggris dan arab dapat dituangkan pada bentuk digital. Pada penelitian ini akan membuat aplikasi pengenalan bahasa Inggris dan Arab dengan menuangkan multimedia menurut konsep Luther-Sutopo, sehingga diharapkan pembelajaran bisa lebih praktis dan menarik. Metode Luther-Sutopo digunakan untuk rekayasa multimedia, dengan tahapan concept, design, material collecting, assembly, testing dan distribution. Hasil dari penelitian ini menghasilkan sebuah aplikasi multimedia pengenalan bahasa berbasis Android yang telah diuji, berdasarkan pengujian alpha didapat bahwa secara fungsional sudah sesuai dengan fungsinya dan dari pengujian beta didapat nilai 87%, yang artinya aplikasi di interpretasi sangat baik oleh pengguna.
Application of the Finite State Machine Algorithm on 2D Platformer Rabbit Games vs Zombies Ade Solihin; Eka Wahyu Hidayat; Aldy Putra Aldya
JOIN (Jurnal Online Informatika) Vol 4 No 1 (2019)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v4i1.293

Abstract

This research develops Android games by applying the FSM Algorithm (Finite State Machine) for the movement of NPC (Non-Player Character) to produce dynamic movements. The popular and legendary game with the appearance of side scroller is Super Mario Bross and Shovel Knight, the game is the most preferred game of its time to the present, but the game does not apply AI (Artificial Intelligence) so the game seems less challenging. The game is a concept game that is currently rarely used. Based on this, a side scroller-based survival game was created by implementing AI on NPCs on the Android platform. The AI used is the FSM Algorithm which functions to regulate enemy movements. The method used in developing multimedia products of this game uses MDLC (Multimedia Development Life Cycle). Based on the tests that have been carried out, the alpha test results are functionally appropriate and the results of beta testing using UserAcceptence Test (UAT) obtained a value of 86.40% which is declared feasible to use and can be developed. The advantages of this game are the presence of shock elements in the form of landslides, bursts of water, rock rain, and attacks by eagles
Prototype Program Hand Gesture Recognize Using the Convex Hull Method and Convexity Defect on Android Muhammad Adi Khairul Anshary; Eka Wahyu Hidayat; Tiara Amalia
JOIN (Jurnal Online Informatika) Vol. 5 No 2 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i2.594

Abstract

One of the research topics of Human-Computer Interaction is the development of input devices and how users interact with computers. So far, the application of hand gestures is more often applied to desktop computers. Meanwhile, current technological developments have given rise to various forms of computers, one of which is a computer in the form of a smartphone whose users are increasing every year. Therefore, hand gestures need to be applied to smartphones to facilitate interaction between the user and the device. This study implements hand gestures on smartphones using the Android operating system. The algorithm used is convex hull and convexity defect for recognition of the network on the hand which is used as system input. Meanwhile, to ensure this technology runs well, testing was carried out with 3 scenarios involving variable lighting, background color, and indoor or outdoor conditions. The results of this study indicate that Hand gesture recognition using convex hull and convexity defect algorithms has been successfully implemented on smartphones with the Android operating system. Indoor or outdoor testing environment greatly affects the accuracy of hand gesture recognition. For outdoor use, a green background color with a light intensity of 1725 lux produces 76.7% accuracy, while for indoors, a red background color with a light intensity of 300 lux provides the greatest accuracy of 83.3%.
Co-Authors Ade Solihin Alam Rahmatulloh Aldy Putra Aldya Hilman Septian Muhammad Adi Khairul Anshary Tiara Amalia