Bidang Robotika adalah hal yang menarik bagi pelajar. Ini terlihat dari antusiasme siswa SMP IT Ikhtiar yang ingin mengikuti kegiatan sosialisasi dan workshop Robotik yang diadakan oleh Group Riset Social, Cognitive Robotics and Advanced Artificial Intelligent Research Centre, Teknik Elektro UNHAS. Kegiatan ini memberikan pengetahuan tentang dasar-dasar dan aplikasi terkini bidang Robotika serta mengajarkan siswa untuk dapat merakit robot sederhana dengan menggunakan bahan dan komponen elektronika yang mudah diperoleh. Workshop diadakan secara semi daring dimana terdapat 6 (enam) orang terdiri dari perwakilan guru dan siswa yang menghadiri kegiatan di Laboratorium dan terdapat pula lebih dari 50 orang siswa yang hadir secara virtual melalui teleconference. Untuk dapat memberikan pemahaman mengenai robotik bagi siswa, dibutuhkan tenaga eksternal yang mumpuni yang menguasai bidang elektro terkhusus robotika. Dari perbandingan hasil tes sebelum dan sesudah mengikuti kegiatan diperoleh peningkatan pengetahuan dari siswa yang signifikan. Selain itu, siswa juga berhasil merakit robot dengan menggunakan bahan dan komponen yang telah disediakan Sebagai bahan keberlanjutan program, robot yang dirakit oleh siswa kemudian diberikan kepada mereka untuk dapat dipelajari kembali.
Bags Fani store is one bag shop. Fani Bags store sells a wide range of bags such as backpacks, travel bags, briefcases etc. However, the mechanism of buying and selling or marketing is done manually, the buyer must come to the store to buy goods from Fani Bags. Then it becomes inefficient. M-commerce (mobile commerce) is a trading system that is performed by the method of trading is done with portable media or mobile devices such as smartphones, PDAs etc. This application is based Mobile Application (Android) using java programming and MySQL as the database and PHP as webserver. M-commerce to be a solution to solve the problems on the Fani Bags store due to m-commerce and smart phones as a media liaison, customers can easily access or purchase products Fani Bags store without having to come to the store. It can be concluded using mobile commerce applications of this transaction will be carried out more easily, efficiently, and of course the wider area coverage
This study evaluated the detection performance of four Mask R-CNN models trained in different scenarios. The first two scenarios are trained with a learning rate of 0.01 using data augmentation on the training data. The other two scenarios are trained with a learning rate of 0.001 and the same as previously, using augmentation on training data. These models are trained to detect water sprouts in cacao plants. The original data used are obtained from photographed pictures on the cocoa farm. As much as 150 images, the data is divided into 120 images for training data and 30 images for testing data. In previous studies, the model was trained without performing data augmentation, so that the amount of data trained was less than this study. Data augmentation is implemented to compromise the small amount of data and prevent over-fitting during the model training process. This process uses six augmentation parameters, namely horizontal flip, blur using Gaussian blur, contrast modification using linear contrast, color saturation alteration, cropping the sides of the image randomly by 50 pixels, and rotating the image. The test is carried out by varying the threshold value in the range of 0.6 to 0.9. The results obtained indicate that the model trained with a learning rate of 0.001 with data augmentation can detect objects better than other models with an F1score of 0.966 at a threshold of 0.8. This research will be developed to create a water sprout cutting robot in the future.
<p class="Abstrak">Krisis energi telah menjadi isu penting dalam kurun waktu belakangan ini. Hal ini upaya yang mendorong penghematan energi menjadi masalah yang mendasar. Upaya penghematan energi dilakukan secara bersama oleh Pemerintah pusat, Pemerintah Daerah, Pengusaha dan Masyarakat. Disisi lain peningkatan fasilitas umum yang diberikan oleh pemerintah maupun perusahaan mendorong konsumsi daya listrik yang berlebihan, karena kurang optimalnya penggunaan peralatan listrik pada fasilitas umum tersebut. Penelitian ini menggunakan teknologi pengolahan citra digital dalam pendeteksian dan pelacakan posisi objek menggunakan metode modifikasi kalman filter, dan menerapkan sistem kendali otomatis embedded pada perangkat elektronik. Sistem kendali otomatis yang dibuat bekerja dengan memanfaatkan informasi yang didapat dari kamera CCTV. Informasi yang diolah berupa posisi objek dari peralatan elektronik, dimana perangkat elektronik hanya bekerja pada saat objek berada pada posisi yang ditentukan sebelumnya, sehingga hal ini dapat mengoptimalkan penggunaan daya dari peralatan elektronik tersebut. Nilai recall yang didapat dari penelitian ini adalah sekitar 95.65%.</p><p class="Abstrak"> </p><p class="Abstrak"><strong><em>Abstract </em></strong></p><p class="Abstrak"> </p><p class="Abstrak"><em>The energy crisis has been an important issue in recent times. This effort that encourages energy saving becomes a fundamental problem. Energy saving efforts shall be undertaken jointly by the central Government, Regional Government, Entrepreneurs and Communities. On the other hand, the increase of public facilities provided by the government and companies encourages excessive consumption of electric power, due to less optimal use of electrical equipment in public facilities. This research uses digital image processing technology in the detection and tracking of object position using modification method of filter kalman, and apply automatic embedded control system in electronic device. Automated control systems are made to work by utilizing information obtained from CCTV cameras. The information processed is the position of the object of electronic equipment, where the electronic device only works when the object is in a predetermined position, so that it can optimize the power usage of the electronic equipment. Recall value of this study about 95.65%. </em></p>
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