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All Journal Jurnal Informatika dan Teknik Elektro Terapan CESS (Journal of Computer Engineering, System and Science) INVOTEK: Jurnal Inovasi Vokasional dan Teknologi JTRM (Jurnal Teknologi dan Rekayasa Manufaktur) Journal of Energy and Electrical Engineering (JEEE) Madaniya
Ridwan Ridwan
Politeknik Manufaktur Bandung
Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences Transportation

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Journal : JTRM (Jurnal Teknologi dan Rekayasa Manufaktur)

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Proteksi Keamanan Data pada Quick Response (QR) Code Abdur Rahman Harits Martawireja; Ridwan Ridwan; Angga Putra Hafidzin; Muhammad Taufik
Jurnal Teknologi dan Rekayasa Manufaktur Vol 3 No 2 (2021): Vol 3 No 2 (2021): Volume: 3 | Nomor: 2 | Oktober 2021
Publisher : Pusat Pengembangan, Penelitian dan Pengabdian kepada Masyarat (P4M) Politeknik Manufaktur Bandung (Polman Bandung)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48182/jtrm.v3i2.58

Abstract

The implementation of Quick Response (QR) Code to share or store information increased widely. QR code can quickly provide a data or information such as contact person, plain text, URLs or other data by scan a QR code using smartphone camera. The raised of QR code implementation must to be follow by a level of data security. In this journal we will discuss a number of processes that can be used to improve data security in QR codes. In computer science there are several terms related to data protection i.e. Cryptography and Steganography. Cryptography focuses on securing information in the data exchange process. Steganography is a process of hiding information into an object that cannot be detected by anyone without a steganographic key. With these two processes i.e. cryptography and steganography or a combination of both, the data embedded in the QR code will not be easy to translate. The method that will be discussed is Speck Algorithm encryption and Advanced Encryption Standard (AES) with a combination of Steganography. Both methods succeed in converting confidential information into data that is not easily recognized. Confidential information that goes through a steganographic process becomes difficult to detect and gives the wrong message to a third party.
Otomatisasi Sistem Bendung menggunakan Metode Backpropagation untuk Mengatur Debit Air berbasis Internet of Thing Ridwan Ridwan; Maulana Hakim Swistiawan; Susetyo Bagas Bhaskoro
Jurnal Teknologi dan Rekayasa Manufaktur Vol 3 No 2 (2021): Vol 3 No 2 (2021): Volume: 3 | Nomor: 2 | Oktober 2021
Publisher : Pusat Pengembangan, Penelitian dan Pengabdian kepada Masyarat (P4M) Politeknik Manufaktur Bandung (Polman Bandung)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48182/jtrm.v3i2.67

Abstract

Weir is a controlling and monitoring tool of all water governance and also as an anticipation of flooding. The weir is used to address the amount of water discharge that potentially creates flooding in an area. Flooding occurs with high rainfall, with high bulk resulting in the water height of the weir steadily increasing drastically. The design of the overview was developed into two parts, Namely the Internet of Thing-based monitoring system using smartphones and controlling debit by moving the water door. To move the water door is based on the water height and calculate the discharge of the outgoing water. The controller as the main controller to separate the data to compute the prediction and run the water door opening control algorithm. The architecture of a synthetic neural network 5-8-1 which uses a hidden layer of eight nodes and one output. The Backpropagation method can classify the floodgates with an accuracy value of 91.78% in the training process. In testing results resulted in an error value of 12.98%.
Co-Authors Abdur Rohman Harits Martawireja Achmad Ibnu Rosid Angga Putra Hafidzin Aris Budiyarto dini hadiani Fakhri Dzulfikar Gun Gun Maulana Maulana Hakim Swistiawan Muhammad Taufik Muhammad Taufiq Aulia Asshydiqi Nuryanti Nuryanti Pipit Anggraeni Sandy Bhawana Mulia Setyawan Ajie Sukarno Susetyo Bagas Bhaskoro