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Wahyuni Khabzli
Politeknik Caltex Riau
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KLASIFIKASI CITRA MAMMOGRAM MENGGUNAKAN METODE K-MEANS CLUSTERING, GLCM, DAN SUPPORT VECTOR MACHINE(SVM) jihan tiara amanda; Wahyuni Khabzli
ABEC Indonesia Vol. 9 (2021): 9th Applied Business and Engineering Conference
Publisher : Politeknik Caltex Riau

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Breast cancer is one of the non-communicable diseases that tend to continue to increase every year. The disease occurs almost entirely in women, but can also occur in men. The best way to identify the presence of breast cancer in addition to ultrasound examination can also be by interpreting a mammogram image using low doses of X-rays that can show abnormalities or abnormalities in the breast in a very small form. The cancer detection system that will be built is a detection system in the breast using mammogram imagery that will pass through the pre-processing stage, image segmentation stage, post-processing stage, feature extraction stage, and classification stage. Methods in the stages of breast cancer detection system are K-Means Clustering Method in segmentation process, GLCM in feature extraction and SVM in classification process. This system will detect and classify normal or abnormal breast cancer based on the characteristics that have been extracted, namely contrast, correlation, energy, and homogeneity by using the process of training (training) and testing (test). The accuracy achieved on this system is 85% of the 20 test images attempted.
RANCANG BANGUN SMART AIR PURIFIER (SOFTWARE) Muhammad Femi; Wahyuni Khabzli
ABEC Indonesia Vol. 9 (2021): 9th Applied Business and Engineering Conference
Publisher : Politeknik Caltex Riau

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Humans unconsciously breathe dirty air every day and as a result, the dirty air enters the human body so that the air-related disease will occur to those who breathe it. To avoid this, one way to prevent this is to know how the surrounding air is and how to deal with dirty air by being in a closed room where the air is clean inside so that dirty air outside does not enter the body which results in disturbed breathing. So that in this final project a Smart Air Purifier will be designed to handle air contaminated with PM10. For the author's focus here is the creation of a system from a smart air purifier and connected to the firebase database for data storage from the GP2Y1010AU0F sensor and DHT11 sensor as well as to control several components such as relays, fans and ionizers and the monitoring and control process of this device through an existing android application Connect to Firebase servers using Android Studio. The average error percentage value from the PM10 sensor reading is 13.47%. For the control section, the device is running well according to user needs. With this application, it is hoped that it can make it easier for users to control devices remotely and monitor the air condition of a room so that the air in a room becomes clean and good for humans.
Sistem Deteksi Posisi Gajah Berbasis Frekuensi Radio Agus Urip Ari Wibowo; Rizki Dian Rahayani; Arif Gunawan; Wahyuni Khabzli
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 2: Mei 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

This paper is motivated by the human-elephant conflict that often occurs due to the narrowing of the elephant habitat caused by industrial and residential interests. In addition, the habitat breadth and the lack of elephant keepers also becomes a consideration. In this paper, we propose an elephant detector using radio frequency. The detector using KYL-200L as transmitter is mounted on the elephant necklace and the sensor nodes as transceivers are installed at some point in the outer boundaries of the elephant habitat. When an elephant is moving within the sensor node radius, the node will send information to the server to be displayed on surveillance computer, and an alert will be sent via SMS to the elephant keeper. The result shows that the maximum communication distance range obtained is 190 m, depending on the propagation and geographical location of the nodes. The average delay of SMS sending is 4.74 seconds depending on providers’traffic service. The differences on the elephant position detection caused by SMS delay are insignificant compared to the radius of the nodes and the elephant habitat.
Co-Authors Agus Urip Ari Wibowo Arif Gunawan Cyntia Widiasari Hamid Azwar jihan tiara amanda Karina Indra Wijaya Katarina Febrianti Maylendra wati Muhammad Diono Muhammad Diono Muhammad Femi Noptin Harpawi Rizki Dian Rahayani Rizki Dian Rahayani Sri Muliyani Wahyu Eka Putra wiwin - styorini Wiwin Styorini Wiwin Styorini Yogi Syaputra Yuli Triyani Yuli Triyani Yuli Triyani