Tracking Obyek Menggunakan Kalman Filter Studi Kasus : Tracking Obyek Manusia yang Berjalan (Single Object) pada Overlapping View Multi-Camera

Object tracking merupakan sebuah metode dalam melakukan ekstraksi informasi dari gambar yang bergerak secara sekuensial (video). Kebutuhan object tracking sudah menjadi hal yang umum terutama dalam pengolahan real-time video. Algoritma yang akurat, low cost, dan natural menjadi persyaratan penting dengan tujuan untuk melakukan object tracking yang cepat dan efisien dalam pemrosesan video secara real-time. Dalam penelitian Tugas Akhir ini digunakan sebuah algoritma Kalman Filter dalam menangani permasalahan object tracking dengan studi kasus mendeteksi obyek manusia yang berjalan (Single Object) yang dilakukan dengan multiple camera. Dalam mengimplementasikan Tugas Akhir ini, pengambilan video input akan dilakukan dengan mekanisme joint view.Tanggung jawab tracking dan labeling pada setiap kamera akan di atur dengan metode switching object label yaitu dengan menggunakan metode FOV Lines. Dari hasil pengujian melalui distribusi error diperoleh informasi bahwa Kalman Filter akurat dalam menangani masalah tracking pada obyek. Kalman Filter mampu menangani masalah occlusion pada obyek dengan melakukan setting parameter yang tepat disesuaikan dengan studi kasus. Metode FOV Lines yang digunakan cukup untuk membedakan obyek yang di-tracking pada area kamera yang beririsan. Dari hasil pengujian dibuktikan bahwa sistem mampu bekerja dengan waktu 10,799 fps, sehingga dapat dikategorikan real-time untuk pemrosesan pada kategori video surveillance dengan spesifikasi perangkat yang telah ditentukan. Faktor eksternal seperti intensitas cahaya, jarak obyek terhadap kamera, ataupun gerakan background yang jarang terjadi dapat mempengaruhi sistem. Object tracking, real-time, Kalman Filter,joint view, multiple camer

Peningkatan HSV dan Haar-Like Feature pada Aplikasi Identifikasi Kematangan Buah Tomat Berbasis Android

Tomat adalah buah yang terkenal karena memiliki banyak nutrisi penting dan bermanfaat seperti antioksidan, vitamin C dan A untuk makanan sehari-hari manusia. Memetik tomat dengan tangan merupakan pekerjaan yang berat dan memakan waktu. Karena itu, untuk mengatasi masalah ini, tomat perlu diambil secara otomatis dengan bantuan teknologi. Baru-baru ini otomatisasi panen buah memperoleh popularitas besar. Untuk memandu robot pemanen mengambil buah dengan benar, penting untuk mendeteksi dan menemukan lokasi buah matang merah dengan benar. Maka dibutuhkan aplikasi untuk identifikasi kematangan buah tomat. Dalam penelitian ini, algoritma pendeteksian tomat matang berdasarkan ruang warna HSV (Hue, Saturation, Value) yang ditingkatkan dengan haar-like feature.  Metode ini diterapakan pada aplikasi berbasis android. Pada tahap pertama, transformasi HSV digunakan untuk menghilangkan latar belakang dan hanya mendeteksi tomat merah. Kemudian operasi morfologis diterapkan untuk memodifikasi buah yang terdeteksi. Hasil penelitian mampu mendeteksi tomat matang merah dengan peningkatan HSV dan haar-like feature

Active Learning Strategies in Synchronous Online Learning for Elementary School Students

The Covid-19 pandemic gives an impact on education field. The face-to-face learning pattern in schools has shifted to distance learning which is carried out online. The implementation of online learning during the pandemic forces a digital transformation in education, causing several problems, two of which are technology and human resources. This article discusses the appropriate online learning strategies to use during a pandemic, especially for synchronous interaction models. Qualitative research with a narrative approach was used to explore teachers' experiences in learning, especially those related to the form of interaction between teachers and students during the Covid-19 pandemic. Active learning was chosen based on the results of observations and literature review through journal articles and proceedings that discuss interactive distance learning methods. Active learning strategies assisted by video conferencing applications that can be applied in online learning in elementary schools include: the use of Student Response Systems; Think Pair Share; One Minute Paper; Small Group Discussion; and Short Student Presentations

Workshop And Motivation For Improving Student Skills Through The Information And Communications Technology

In the digital age, the role of information technology is needed to face competition in the community. Information and communication technology is an important element in contributing to changes that are fundamental to the structure of operations and management of organizations, education, transportation, health, and research. The internet is like two sides of a coin, the content offered is positive and negative, both are very dependent on the behavior of its users. The ease of access to the internet is increasingly being felt by the public with increasingly cheap hardware such as tablets and laptops as well as wider connection support. Various efforts to stem negative information continue to be pursued by various elements of society, but it is not effective if the user behavior is not changed. Teenagers are among the most vulnerable in the misuse of advances in internet technology, so it needs serious efforts to provide the right knowledge and skills in utilizing these advancements. By conducting workshops and motivation to improve the abilities and skills of Girimarto 1 High School students, it is hoped that school students can face the development of the digital era more readily. The results of this training gained a high level of satisfaction with the material that had been carried out

Classification of Acute Myeloid Leukemia Subtypes M1, M2 and M3 Using K-Nearest Neighbor

Leukemia is a malignant disease caused by the massive and rapid development of white blood cells in the bone marrow. These excessive white blood cells begin to interfere with the body’s mechanism rather than fighting infection. Acute Myeloid Leukemia (AML) is one of the four main types of leukemia with eight subtypes, M0 to M7. AML M1, M2, and M3 have similarities, making them more difficult to distinguish from the other types. Furthermore, they are usually identified by calculating the ratio of myeloblast, promyelocyte, and monoblastic. This research aims to apply the k-Nearest Neighbor (k-NN) in classifying these cell types. k-NN is an algorithm used for classification based on a similarity measure. In cases of finding the best number of neighborhoods, trial and error were conducted. The features needed for classification are cell area, perimeter, roundness, nucleus ratio, mean and standard deviation. Four distance metrics such as Euclidean, Manhattan, Minkowski, and Chebyshev were used in this research. The results show that the Euclidean, Manhattan, Chebyshev, and Minkowski distance successfully identified 207 out of 300 objects at K=18, 197 out of 300 objects at K=13,  209 out of 300 correct objects at K=9, and 210 out of 300 objects at K=7.  In conclusion, Minkowski was chosen as the best distance metric for KNN in classifying leukemia-forming blood cells. Furthermore, the accuracy, recall, and precision values of KNN with Minkowski distance obtained from 5-fold cross-validation were 80.552%, 44.145%, and 42.592%, respectively