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All Journal JURNAL INFORMATIKA Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Information Systems and Technology (JISTech)
Ery Muchyar Hasiri
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Other

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Peringatan Dini Banjir Menggunakan Multi Sensor Pada Prototype Aliran Sungai Berbasis Internet of Things Ery Muchyar Hasiri; Hikmah Nur Allia
JURNAL INFORMATIKA Vol 12, No 1 (2023): Jurnal Informatika
Publisher : Prodi Teknik Informatika Unidayan Baubau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55340/jiu.v12i1.1299

Abstract

Salah satu dampak nyata dari perubahan iklim adalah banjir yang telah terjadi lebih sering di banyak wilayah padat penduduk dan menyebabkan dampak pada kehidupan manusia dan mata pencaharian. Untuk mendapatkan ketinggian permukaan air kanal, dengan cara memanfaatkan rambatan gelombang suara ultrasonik yang dipantulkan pada obyek. Dengan diketahuinya jarak obyek, maka dapat dilakukan komputasi untuk mengetahui ketinggian permukaan air kanal. Nilai ketinggian permukaan air kanal dikirim melalui jaringan internet menuju Internet of Thing (IoT) cloud server yang dapat di monitor oleh pengguna. Penelitian ini bertujuan untuk merancang bangun alat mengukur ketinggian air sungai sehingga dapat mendeteksi apabila akan terjadi banjir, alat ini menggunakan multi level sensor sebagai sensor yang dapat mendeteksi ketinggian air dan memanfaatkan teknologi IoT untuk monitoring langsung. Hasil yang dicapai dalam penelitian ini alat prototype peringkatan dini banjir dapat yang dikontrol menggunakan aplikasi android untuk mengetahui ketinggian air melalui sensor yang dipasang pada aliran sungai, sehingga dapat dijadikan sebagai system peringatan dini banjir. 
Implementasi Augmented Reality untuk Pembelajaran Gerakan Pencak Silat Menggunakan Unity dan Vuforia Fahmi; Alders Paliling; Ery Muchyar Hasiri; LM. Fajar Israwan
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Pencak Silat is a traditional martial art that originated in Indonesia, now pencak silat is a sport that has many enthusiasts in various countries. At the State Junior High School 4 Wangi - Wangi, pencak silat still uses a learning method with direct practice in the field which is only done 1 time a week. This research aims to design and build a learning application for the Pencak Silat movement by applying Augmented Reality technology. In making this application, there are several stages, namely, character design and animation using avatars sdk and blender which then markers are stored in the Vuforia database and built using unity. This research produces the application of Augmented Reality in Learning Pencak Silat movements as a learning medium that can be used as a learning medium for students, where students can learn Pencak Silat movements by looking at the movements of characters in the application in 3 dimensions so that it will make students enthusiastic in learning Pencak Silat.
Pengembangan Sistem Informasi Seleksi Penerimaan Bantuan Langsung Tunai Menggunakan Metode K-Nearest Neighbor Hardianto; Kharis Syaban; Ery Muchyar Hasiri
JISTech : Journal of Information Systems and Technology Vol. 1 No. 2 (2024): Desember 2024
Publisher : Perhimpunan Ahli Teknologi Informasi dan Komunikasi Indonesia

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Abstract

The implementation of the Cash Transfer Assistance (BLT) program in Indonesia aims to assist economically disadvantaged communities, especially during crises such as the pandemic. However, the selection process for BLT recipients often faces challenges related to accuracy and efficiency, particularly in determining eligible recipients based on various economic and social criteria. This research develops an information system based on the K-Nearest Neighbor (K-NN) method to address these issues. The system is designed to classify BLT candidates by considering several variables, such as family income, number of dependents, employment status, housing conditions, and family health. The optimal K value was determined through trial and error to achieve the highest accuracy. The system was tested using both training and testing data, and the evaluation results showed an accuracy rate of 85%. This information system not only processes data quickly but also provides transparent and objective results, making it useful for village authorities to efficiently select BLT recipients. By implementing the K-NN algorithm, this system is expected to offer a practical solution for village governments in improving the accuracy of aid distribution to eligible communities.
Co-Authors alders paliling Fahmi Hardianto Hikmah Nur Allia LM. Fajar Israwan Syaban, Kharis