Javanese characters is part of Javanese culture, which is one of Indonesia's noble culture. However, the number of Javanese people who are able to read the letters has decreased so that there needs some effort in the form of a system that is able to recognize the characters. One solution to this problem lies in Optical Character Recognition (OCR) studies, where one of its heaviest points lies in feature extraction (which is) to distinguish each character. Shape Energy is one of feature extraction methods with the basic idea of how the character can be distinguished simply through its skeleton. Based on the basic idea, then the development of feature extraction is done based on its components to produce an angular histogram with various variations of multiples angle. Furthermore, the performance test of this method and its basic method is conducted in Javanese character dataset, which has been obtained from various images, is 387 data with 19 labels by using K-Nearest Neighbors as its classification method. Performance values were obtained based on the accuracy which is generated through the Cross-Validation process of 81.90% in the angular histogram with an angle of 20 degrees, 27.32% better performance than using Shape Energy. In addition, other test results show that this method is able to recognize rotated character with the lowest performance value of 87.73% at 180-degree rotation and the highest performance value of 96.21% at 90-degree rotation. It can be concluded that this method is able to improve the performance of Shape Energy in the form of recognition of Javanese characters as well as robust to the rotation.
The teaching and learning process on campus is always supervised by paying attention to attendance. Some campuses use this attendance as a condition for taking the exam. However, the attendance system is still manual, which is by using a signature on the attendance sheet. This system has several weaknesses which include the occurrence of fraudulent attendance, difficulty in monitoring attendance, and data that cannot be presented quickly. The study proposes an attendance system using fingerprints connected to wireless networks that are already available on campus. Wireless networks are used as a medium of communication between attendance tools and database servers. The use of wireless networks aims to facilitate equipment used in classrooms during the lecture process. Attendance tool designed on a single Raspberry Pi computer board that is equipped with fingerprint sensors, power banks and LCD screens. While wireless LAN devices are integrated in the Raspberry Pi boar. The attendance system begins with an enroll process to save the lecturer and student fingerprint templates. Each template is given an ID to be stored on the database server using TCP wireless and protocol networks. The enroll process observations require an average time of 4 seconds which consists of: transmission time and time identification of fingerprint characteristics to the creation of fingerprint templates. The attendance process in lecture activities begins with the absence of lecturers and is followed by students. The average time needed to do attendance is 4 seconds. During the data attendance process can transmit between the attendance device (client) and server. Through a fingerprint-based attendance device based on the available wireless network infrastructure in the campus, it can improve the efficiency of attendance monitoring in real time.
One of the common problems experienced by animal farmers is heat stress or cold stress caused by changes in the environment. This resulted in a decrease in the productivity of livestock, cattle. Early monitoring needs to be done to avoid problems through monitoring tools for temperature, heart rate, and internet-based location of things (IoT). The monitor receives the value through the paired sensor and is sent to the web server. Users or breeders get information about the condition of farm animals and observe changes in value through graphs through the android application. The system built is able to receive values in a short interval time (10 seconds) so that the value obtained is the most recent value. Based on observations on the graph, the user can identify drastic changes, both decreases or increases, in the temperature and heart rate of the animal's condition and take precautions as early as possible.
This paper aims to design a low-cost underwater glider to operate in shallow water. The proposed design was developed by manufacturing engineering software. Analysis of the hull using manufacturing engineering software and 3D computer-aided design (CAD). The analysis of hydrodynamics using computational fluid dynamics (CFD). This glider was designed to operate in shallow water, coastal, lake and river for a maximum depth of 10 m and a maximum speed of current 12,96 km/h, or 3,6 m/s. To reduce and minimize the cost to manufacture this underwater glider, the mechanics, electrical, electronics, and power source were using common tools on the market, not on demand. Based on numerical model, the hull pressure had 30,127 psi or 0,2077162 MPa for maximum depth 10 m and max speed 12,96 km/h. Maximum pressure occurs on the nose and behind the wings. This unmanned vehicle was designed to be in 9 compartments. The first compartment and 8th compartment are used for ballast tanks. The others for: mechanics of ballast system, altimeter and attitude controller, payload, battery pack, main controller part, propulsion system, and propulsor.
Dewasa ini, masih banyak didapati kecurangan presensi kehadiran saat bekerja seperti melakukan titip absen kepada pegawai lain atau hanya absen saat jam masuk dan jam pulang, namun pegawai tersebut tidak sedang berada di kantor selama jam kerja. Hal ini dapat menyebabkan produktifitas menurun yang berakibat pada kualitas pegawai. Permasalahan ini dapat diselesaikan dengan memanfaatkan penerapan teknologi informasi dan komonukasi seperti Global Positioning System (GPS) yang dapat mendata informasi spasial seseorang dalam area lingkup. Melalui aplikasi android pada setiap perangkat yang dimiliki pegawai, dapat memudahkan serta transparansi dari kegiatan presensi. Sistem didalamnya akan membatasi cakupan area lingkup dengan area luar lingkup yang diambil dari titik koordinat latitude dan longtitu ditempat kerja. Lingkupan area ditentukan dari radius pada masing-masing lokasi. Nilai koordinat dijadikan dasar dalam kehadiran serta waktu kerja yang ditentukan dan dicek secara berkala atau interval waktu. Adapun tingkat keberhasilan system presensi berbasis geolokasi yang telah diperoleha dalah rata-rata 92% dengan rincian 98% di area Teknik Informatika, 100% di area rektorat, dan 80 % di area 454. Today, there are still many cases of attendance fraud while working, such as entrusting absences to other employees or only absent during entry and return hours, but these employees are not in the office during working hours. This can lead to decreased productivity which results in the quality of employees. This problem can be solved by utilizing the application of information and communication technology such as the Global Positioning System (GPS) which can record a person's spatial information within the scope area. Through the Android application on every device owned by employees, it can facilitate and transparency of attendance activities. The system inside will limit the coverage area of the scope to the area outside the scope which is taken from the latitude and longitude coordinate points of the work place. The area coverage is determined from the radius at each location. Coordinate values are used as the basis for attendance and work time which is determined and checked periodically or at time intervals. The success rate of the geolocation-based presence system that has been obtained is an average of 92% with details of 98% in the Information Engineering area, 100% in the rectorate area, and 80% in the 454 area.
<p><em><strong>Abstract.</strong> Alumni tracking or what is known as a tracer study is one of the most important activities at this time, especially in vocational-based education. With the link and match carried out in schools with industry, schools will be able to know the quality of their graduates and further information can be used to improve the learning curriculum.Currently, Ihya Ulumuddin Vocational School is conducting a tracer study still using the manual method with paper, when their alumni come to school and the results are not optimal. Completing a study tracker with this method is only able to track less than 15% of the number of graduates each year so that the picture of graduates of SMK Ihya Ulumuddin is very lacking. This data tracking study must also be submitted to the Director General of Vocational Schools at the end of each year and the school always has difficulties in providing this data. From this problem, it is said that the creation of a telegram robot application that is connected to the tracer study web application is the solution to the implementation of this tracer study. The creation of this system begins after building the system with the SMK and the application is complete, trials and implementations are carried out after the alumni graduate. Workshops and training on tracer studies were also carried out to support the implementation of this Telegram-based tracer study system. From the results of this community service, a total of 74% of the graduates were obtained in 2021. With the telegram robot that has been implemented, the tracer study implementation will assist in answering tracer study questions, making it easier to collect data on alumni of SMK Ihya Ulumuddin in an effective and efficient manner in every year. </em></p><p> </p><p><strong>Abstrak.</strong> Pelacakan alumni atau yang disebut tracer study merupakan salah satu kegiatan yang penting dilakukan saat ini, khususnya pada pendidikan berbasis vokasi. Dengan adanya link and match yang dilakukan sekolah dengan industri, maka sekolah akan dapat mengetahui kualitas lulusannya dan nantinya informasi ini dapat digunakan untuk memperbaiki kurikulum pembelajaran. Saat ini, SMK Ihya Ulumuddin melakukan tracer study masih menggunakan cara manual dengan kertas, ketika alumni mereka datang ke sekolah dan hasilnya kurang optimal. Pengisian tracer study dengan metode ini hanya mampu melacak kurang dari 15% jumlah lulusan setiap tahunnya sehingga gambaran mengenai lulusan SMK Ihya Ulumuddin masih sangat kurang. Data tracer study ini juga wajib disampaikan kepada Dirjen Vokasi setiap akhir tahun dan pihak sekolah selalu mengalami kesulitan dalam menyediakan data ini.. Dari masalah tersebut disimpulkan bahwa pembuatan sebuah aplikasi robot telegram yang terhubung dengan web aplikasi tracer study adalah solusi dari pelaksanaan tracer study ini. Pembuatan sistem ini dimulai dengan berdiskusi dalam membangun sistem Bersama pihak SMK dan setelah aplikasi selesai, ujicoba dan implementasi dilakukan setelah alumni lulus. Pelaksanaan workshop dan pelatihan mengenai tracer study juga dilaksanakan dalam mendukung implementasi sistem tracer study berbasis tekegram ini. Dari hasil pengabdian masyarakat ini, didapatkan pengisan sejumlah 74% dari jumlah lulusan di 2021. Dengan adanya robot telegram yang sudah diimplementasikan ini, pelaksanaan tracer study akan terbantu dalam menjawab pertanyaan tracer study sehingga mempermudah pengelola dalam mengumpulkan data alumni SMK Ihya Ulumuddin secara efektif dan efisien dalam setiap tahun.</p>
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