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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Hasil Pengabdian Masyarakat (JURIBMAS)
Suherman, Endang
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Computer Science & IT Education Electrical & Electronics Engineering Engineering Social Sciences

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Comparison of Convolutional Neural Network and Artificial Neural Network for Rice Detection Suherman, Endang; Hindarto, Djarot; Makmur, Amelia; Santoso, Handri
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11944

Abstract

Rice is a staple food for people in tropical countries. Indonesia is a country that needs a lot of rice for its people in providing food. This country has implemented various ways to plant rice properly. Many agricultural fields have implemented harvests up to three times a year, due to the role of technology which has helped a lot in agriculture. Planting to harvest already uses advanced technology and tools. A good rice harvest can improve the welfare of the surrounding community. Meanwhile with lots of rice products because many rice plants produce with lots of rice. The type of rice from different regions of origin, the yield of rice is also different from other regions of origin. But with advances in technology, it is possible to plant rice whose types of plants come from other regions. The rice sold to the public varies, so that people who are unfamiliar with the types of rice find it difficult to detect the types of rice. Machine learning is present in detecting various kinds of rice. Machine learning, especially deep learning can make better detection, because one of the deep learning methods works similar to the human brain. In the human brain there are millions or even billions of neurons. This research uses neural networks in experiments using public datasets. Experiments using Artificial Neural Networks achieve an training accuracy of 98.2%, loss: 0.2351. It takes about 10 minutes of training. Testing accuracy reaches accuracy: 96%, loss: 0.6641. By conducting experiments using the Convolution Neural Network, it achieves an accuracy of 99.3% and the training time requires around 18 hours. The purpose of this research is to classify the rice image dataset and detect the rice image.
Implementation of ResNet-50 on End-to-End Object Detection (DETR) on Objects Suherman, Endang; Rahman, Ben; Hindarto, Djarot; Santoso, Handri
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.12378

Abstract

Object recognition in images is one of the problems that continues to be faced in the world of computer vision. Various approaches have been developed to address this problem, and end-to-end object detection is one relatively new approach. End-to-end object detection involves using the CNN and Transformer architectures to learn object information directly from the image and can produce very good results in object detection. In this research, we implemented ResNet-50 in an End-to-End Object Detection system to improve object detection performance in images. ResNet-50 is a CNN architecture that is well-known for its effectiveness in image recognition tasks, while DETR utilizes Transformers to study object representations directly from images. We tested our system performance on the COCO dataset and demonstrated that ResNet-50 + DETR achieves a better level of accuracy than DETR models that do not use ResNet-50. In addition, we also show that ResNet-50 + DETR can detect objects more quickly than similar traditional CNN models. The results of our research show that the use of ResNet-50 in the DETR system can improve object detection performance in images by about 90%. We also show that using ResNet-50 in DETR systems can improve object detection speed, which is a huge advantage in real-time applications. We hope that the results of this research can contribute to the development of object detection technology in images in the world of computer vision.
SOSIALISASI PENERAPAN METODE LATIHAN BERMAIN UNTUK MENINGKATKAN KETERAMPILAN MENGGIRING BOLA DALAM PERMAINAN SEPAK BOLA Suherman, Endang; Rizal, Chairul; Marlina, Leni
JURIBMAS : Jurnal Hasil Pengabdian Masyarakat Vol 2 No 1 (2023): Juli 2023
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juribmas.v2i1.112

Abstract

Penelitian ini bertujuan untuk menginvestigasi efektivitas sosialisasi penerapan metode latihan bermain dalam meningkatkan keterampilan menggiring bola pada permainan sepak bola. Keterampilan menggiring bola merupakan komponen penting dalam sepak bola yang memengaruhi performa individu dan tim dalam pertandingan. Metode latihan bermain merupakan pendekatan yang menggabungkan unsur permainan dengan latihan teknis, bertujuan untuk menciptakan lingkungan latihan yang lebih realistis dan menarik. Studi ini dilaksanakan dengan melibatkan sekelompok pemain sepak bola muda dari berbagai tingkat kemampuan. Metode penelitian yang digunakan adalah eksperimen dengan desain pretest-posttest control group. Kelompok eksperimen menerima sosialisasi tentang penerapan metode latihan bermain untuk menggiring bola, sementara kelompok kontrol tetap mengikuti latihan konvensional. Pengukuran keterampilan menggiring bola dilakukan sebelum dan setelah intervensi menggunakan pengukuran teknis yang telah diakui. Hasil analisis data menunjukkan adanya peningkatan yang signifikan dalam keterampilan menggiring bola pada kelompok eksperimen setelah mengikuti sosialisasi metode latihan bermain. Peningkatan tersebut tidak hanya terlihat pada aspek teknis menggiring bola, tetapi juga pada kemampuan pemahaman situasional dan pengambilan keputusan yang lebih baik selama permainan. Di sisi lain, kelompok kontrol tidak menunjukkan peningkatan yang signifikan. Temuan ini menunjukkan bahwa penerapan metode latihan bermain memiliki potensi untuk secara efektif meningkatkan keterampilan menggiring bola dalam permainan sepak bola. Oleh karena itu, disarankan agar pelatih, pemain, dan para praktisi sepak bola mempertimbangkan penggunaan metode latihan bermain dalam program pelatihan untuk mencapai perkembangan keterampilan yang lebih optimal. Studi lebih lanjut dapat dilakukan untuk mengeksplorasi variabel lain yang mungkin mempengaruhi hasil dari penerapan metode latihan bermain dalam kontekssepak bola.
Co-Authors Hindarto, Djarot Leni Marlina Rahman, Ben Rizal, Chairul Santoso, Handri