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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika Jurnal Pendidikan dan Pemberdayaan Masyarakat JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer JURNAL REKAYASA TEKNOLOGI INFORMASI SINTECH (Science and Information Technology) Journal METIK JURNAL JISKa (Jurnal Informatika Sunan Kalijaga) Journal of Applied Engineering and Technological Science (JAETS) Indonesian Journal of Electrical Engineering and Computer Science PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer

Hamdani Hamdani

Universitas Mulawarman

Author-ID : 2378161

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering

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Articles

Title

Distance Estimation based on Color-Block: A Simple Big-O Analysis Budi Rahmani; Hugo Aprilianto; Heru Ismanto; Hamdani Hamdani
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 4: August 2017
Publisher : Institute of Advanced Engineering and Science

This paper explains how the process of reading the data object detection results with a certain color. In this case the object is an orange tennis ball. We use a Pixy CMUcam5 connecting to the Arduino Nano with microcontroler ATmega328-based. Then through the USB port, data from Arduino nano re-read and displayed. It’s to ensure weather an orange object is detected or not. By this process it will be exactly known how many blocks object detected, including the X and Y coordinates of the object. Finally, it will be explained the complexity of the algorithms used in the process of reading the results of the detection orange object.

The Proposed Development of Prototype with Secret Messages Model in Whatsapp Chat Hamdani Hamdani; Heru Ismanto; Agus Qomaruddin Munir; Budi Rahmani; Andri Syafrianto; Didit Suprihanto; Anindita Septiarini
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Development of prototype at data security through secret messages is needed for disguising the messages sent in smartphone chatting application, WhatsApp (WA) Chat. We propose a model to disguise a plaintext message which is first encrypted by cryptosystem to change the plaintext message to ciphertext. Plaintext or plainimage entering the smartphone system is changed into encrypted text; receiver then can read the message by using similar key with the sender. The weakness of this proposal is the message random system is not planted directly in the chatting application; therefore message removing process from cryptosystem to WA application is still needed. The strength of using this model is the messages sent will not be easily re-encrypted by hacker and can be used at client computing section.

The Contour Extraction of Cup in Fundus Images for Glaucoma Detection Anindita Septiarini; Hamdani Hamdani; Dyna Marisa Khairina
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 6: December 2016
Publisher : Institute of Advanced Engineering and Science

Glaucoma is the second leading cause of blindness in the world; therefore the detection of glaucoma is required. The detection of glaucoma is used to distinguish whether a patient's eye is normal or glaucoma. An expert observed the structure of the retina using fundus image to detect glaucoma. In this research, we propose feature extraction method based on cup area contour using fundus images to detect glaucoma. Our proposed method has been evaluated on 44 fundus images consisting of 23 normal and 21 glaucoma. The data is divided into two parts: firstly, used to the learning phase and secondly, used to the testing phase. In order to identify the fundus images including the class of normal or glaucoma, we applied Support Vector Machines (SVM) method. The performance of our method achieves the accuracy of 94.44%.

Co-Authors A. Ismail Lukman Agus Qomaruddin Munir Albert Richart Singal Amin Padmo Azam Masa Anam, M Khairul Andri Syafrianto Andrianus Layuk Anindita Septiariani Anindita Septiarini, Anindita Anindita Septirini Awang Harsa Kridalaksana Budi Rahmani Budi Rahmani Citra Tri Angga Dana Pranata Decky Aspandi Latif Didit Suprihanto, Didit Dyna Marisa Khairina Edy Winarno Faza Alameka Hatta, Heliza Rahmania Haviluddin Haviluddin Heliza Hatta Henderi . Hepy Tri Winarti Heru Ismanto Hugo Aprilianto Irwanda Syahputra Junadhi Junadhi Khabib Mustofa Lucky Lhaura Van FC, Lucky Lhaura Muhammad Alisalman Muhammad Bambang Firdaus Muhammad Olly Muhammad Sofian Sauri Muhammad Syarif Abdillah Muhammad Zaini Mustangin Mustangin Ngurah Satria Darmawangsa Nur Madia Puspitasari, Novianti Rahmaddeni Rahmaddeni Retantyo Wardoyo Roni Stepanus Ginting Sayekti Harits Suryawan Sumaini Sumaini Syaffira Rizky Amalia Wati, Masna Widians, Joan Angelina Wiwien Hadikurniawati Yuda Irawan Yulianto Yulianto Zainal Arifin

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Journal : International Journal of Electrical and Computer Engineering