FACEMASK DETECTION USING YOLO V5

The use of facemasks is one of the obligations when carrying out activities outside the home during the COVID-19 pandemic, but despite the COVID-19 pandemic, the use facemasks is still needed. One of the supporting factors driving this is air pollution. The use of facemasks can reduce the risk of respiratory diseases, because it is important to use facemasks when carrying out activities in place with a high risk of air pollution such as industrial areas, this is done to maintain the safety of its users both in term of healh and comfort. So consistency is needed for users to use masks, through current technological developments detecting the use of masks is one of the right solutions to this problem. One of the mask detection methods used in this study is YOLO (You Only Look Once). YOLO is a method that detects objects using a single neural network consisting of several layers of convolution networks for image feature extraction, then prediction of bounding box coordinates is performed simultaneously. The YOLO v5 training model in this study was carried out with a combination of minimum values ​​on img, batch, and epoch resulting in a maximum F1 value and mAP@50 of 86%

SEGMENTASI DOKUMEN BAHASA INDONESIA MENGGUNAKAN TEXT TILING

Text tiling aims to split long documents into multiple related paragraphs. In this study, the documents are used as data by omitting the reading format as inputs in the segmentation. Text tiling method has three stages, namely tokenisation, determination of similarity, and the introduction of limits. In this study, the results of the segmentation algorithm using tiling text has not yet reached the objective. This is because the segmentation of the document is strongly influenced by a common word file, the determined number of tokens in a token-sequence, and the determination of the number token-sequence within a block.Tthe writing of a word and text tiling algorithm is very sensitive to the reading format, such as titles and subtitles, so that the reading format must be removed to have the body of the text only. Segmentation results increased after the trials. From the experiment of the 15 reading segmentation results show that an accuracy of precision is 59,3% and of recall is 80%. These trials used 4140 common words. The total coefficient score for similarity is 5, the number of tokens in a token-sequence is 20, and the number of tokensequence within a block is 3

Implementasi Aplikasi Perpustakaan Mini Mandiri At-Taqwa Urangagung Sidoarjo

Perpustakaan Mini Mandiri At-Taqwa didirikan untuk memberikan bahan bacaan pada warga perumahan Bhayangkara pada khususnya dan warga sekitar perumahan pada umumnya. Pendataan buku dan anggota dilakukan secara manual sehingga dibutuhkan suatu aplikasi pendataan buku secara otomatis sehingga dibuatlah aplikasi Perpustakaan Mini Mandiri At-Taqwa. Fitur aplikasi ini diantaranya Input Kategori Buku, Input Data Buku, Input Data Anggota, Input Data Petugas, Cari Data Buku, dan Laporan Buku. Aplikasi ini dapat membantu pencatatan dan pencarian data buku, anggota, dan petugas secara otomatis

Practicum E-Module Development to Improve Distance Learning Efficiency in Basic Physics Courses in the Pandemic Period

The Covid-19 pandemic has a broad impact on all sectors, including the education sector. Almost all learning from elementary to tertiary level (university) which was originally face-to-face has turned into distance learning (PJJ) or online. This study aims to see the effectiveness of online learning, especially in exact subjects. For example, in learning Basic Physics which has practical aspects, there are several problems during the pandemic, such as, 1) the limitations of the face-to-face implementation of the Basic Physics practicum during the pandemic, 2) the limitations and inconsistencies of conventional modules used in practicum implementation in distance education, and 3) The use of a Content Management System (CMS) in e-lerning that has not been maximized is an obstacle that requires immediate handling. Therefore, the researcher tried to develop a practicum e-Module using the Research & Development research method with the Rowntree development model collaborated with the Tessmer evaluation model. The results obtained in the study showed an increase in student positive motivation in doing independent practicum with the help of e-modules. The resulting E-module development can be said to have met the practical criteria, shown from the recapitulation of the percentage results of the questionnaire sheet assessment at the one-to-one stage of 84.66% and and the small group stage of 78.22%. The feasibility of the e-module that has been made is also quite good, seen from the validation results by the validator on the aspects of material, media, design and accessibility, on average, it is> 80%

Sistem Pakar Online untuk Mengidentifikasi Hama pada Tanaman Jeruk

An orange commodity can improve level live society. Till now orange product not yet fulfilled expectation. This matter because of the limited knowledge [all] farmer in the case of having real correct orange cultivation to and pest appearance and disease. Lack of orange crop pest information cause all farmer of difficulty in detecting early pest symptom and his operation so that effectively can do] needed actions, particularly with many generated symptoms him. This matter often makes farmer become a difficulty in searching correct decision. One of the ways of to assist the farmer in determining pest type is to utilize the expert system with a method of forward chaining. By exploiting availability broadness and usage of internet give the opportunity to propagate knowledge and membership about identifying orange pest to many people

Pelatihan Media Pembelajaran Digital untuk Tenaga Pendidik Di Masa Pandemi Di SMP Muhammadiyah 4 Porong Sidoarjo

In 2020 Indonesia goverment got the big disaster from God, It is namely Corona Virus. In education sector such as school,university and other formal education can’t do teaching learning activity directly.Teacher and student can’t do face to face activity because they are limited by goverment policy about social distancing.Education Ministry can solve the limitation of internet access bandwith by using free internet access or big bandwith, unfortunetly the big problem that can’t be solved by Indonesia Goverment is teacher have no knowladge about digital learning. Abdimas Team of Sidoarjo Muhammadiyah University try to aim this big problem. Abdimas Team of Sidoarjo Muhammadiyah University held training of digital learning for SMP Muhammadiyah 4 Porong Sidoarjo. Platform of this digital learning uses EDMODO. The result of this training is teacher and student can do teaching and learning activity periodically using internet media. The conclusion of this article is digital learning is necessary in revolution 4.0 because growth of information technology raise significantlyTahun 2020 Pemerintah Indonesia sedang menghadapi cobaan besar dari Alloh Sang Pencipta berupa Virus Corona. Disektor pendidikan baik sekolah, universitas dan lembaga formal pendidikan yang lain tidak dapat melakukan aktivitas belajar mengajar secara langsung.Antara guru dengan murid tidak dapat melakukan tatap muka secara langsung karena mereka dibatasi oleh aturan pemerintah tentang pembatasan interaksi sosial. Keterbatasan kuota akses internet bagi pelajar telah diatasi oleh Kemendikbud dengan mengeluarkan kouta akses internet tanpa batas atau kuota besar, namun kendala yang belum dapat diatasi sepenuhnya adalah keilmuan tenaga pendidik tentang pembelajaran media online. Oleh karena itu Tim Pengabdian Masyarakat Universitas Muhammadiyah Sidoarjo turut membantu pemerintah dalam mengatasi kendala pembelajaran jarak jauh dengan mengadakan pelatihan pembelajaran digital di sekolah khususnya di SMP Muhammadiyah 4 Porong Sidoarjo. Adapun media pembelajaran digital yang digunakan adalah menggunakan pembelajaran digital EDMODO dengan menggunakan metode pelatihan dan pendampingan. Hasil dari pelatihan ini adalah guru dan siswa dapat berinteraksi secara berkala.Simpulan dari artikel ini adalah pembelajaran digital ini sangat diperlukan di era revolusi 4.0 mengingat perkembangan dunia teknologi informasi dan komunikasi cukup signifikan

HPAI consumer shopping analysis using Apriori algorithm

PT Herba Penawar Alwahida sells a variety of herbal products. The process of buying and selling transactions occur every day, resulting in a pile of data pretty much. However, so far the transaction data has only been used as material to make monthly reports without further use of data these, even though from these data information can be extracted to support marketing. To utilize existing transaction data, the authors make a website-based data mining application. This application will be developed by method association (Association Rule) uses apriori algorithm. So that it can be seen the level of accuracy of this application. With the application of data mining, is expected to help the distributor to get information about which HPAI products are often purchased by consumers simultaneously, so as to improve the product marketing and maintaining process availability of stock of these products to remain