Garuda - Garba Rujukan Digital

Implementation of Student Management System at TK Al-Wahyu Surabaya Budi Nugroho; Eka Prakarsa Mandyartha; M. Syahrul Munir
Nusantara Science and Technology Proceedings International Seminar of Research Month 2021
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2022.2466

The School of TK Al Wahyu Surabaya has difficulties in managing student data (especially students registered in the previous few years), so the school management only focuses on the list of students in the current academic year. Data management manually takes a long time, the accuracy of the people who handle it, and is very susceptible to human error. Based on the field survey that has been carried out, school managers have difficulty managing data recorded on papers and computer files, especially when the school has to send report data to the relevant City Government Education Office. Through this community service activity (PIHAT Program), the Proposing Team offers a solution to these problems by implementing the Student Management System at TK Al-Wahyu Surabaya. In this system, student data management is carried out using web-based software to facilitate data gathering, automatic data retrieval, and student data mapping. The activity steps needed to realize the proposed solution include system requirements analysis, system customization, server & network infrastructure preparation, system installation, data entry to the system, training and assistance for system operation, evaluation of problems that arise during system operation, improvement of the system to overcome obstacles that arise and ensure the system can run according to plan, as well as final evaluation to determine the effectiveness of system implementation. Based on the activities that have been carried out, the installation of the application system and the process of assisting school administrators and admins for the operation of the system have been carried out. School administrators are very enthusiastic about implementing this system. This system supports data management and reporting to the City Government Education Office. For TK Al Wahyu Surabaya, the application of this system is a new breakthrough for schools, which have been accustomed to manual work, then use software-based methods that are faster and more effective.

Estimator Torsi Beban Sistem Servo Modular MS150 DC Berbasis Jaringan Syaraf Tiruan Syahrul Munir
CYCLOTRON Vol 5, No 2 (2022): CYCLOTRON
Publisher : Universitas Muhammadiyah Surabaya

Di era sekarang, motor DC telah dipakai dalam skala yang luas mulai dari sistem yang memerlukan sensitivitas rendah hingga tinggi. Untuk sistem bersensitivitas tinggi, dibutuhkan tingkat presisi yang terjaga dengan maksimal walaupun terdapat gangguan berupa torsi beban pada shaft motor. Tingkat kesulitan yang tinggi dan mahalnya sensor untuk mengukur secara langsung mengakibatkan diperlukannya estimasi untuk mengetahui besarnya torsi beban pada shaft motor. Untuk mengatasi permasalahan ini, dilakukanlah penelitian mengenai estimator torsi beban pada motor DC menggunakan Jaringan Syaraf Tiruan (JST). Hasil dari penelitian ini didapatkan rancangan model JST terbaik untuk estimasi torsi beban dengan arsitektur 3 node masukan, antara lain tegangan masukan, arus,dan kecepatan sudut, 9 hidden node, dan 1 node keluaran, yakni torsi beban itu sendiri. Dari hasil pelatihan dan pengujian model JST didapatkan nRMSE sebesar 3.75% dan 4.038% berturut-turut.

Performance of the CNN Method for Identifying Health Conditions Based on Nail Images Budi Nugroho; Retno Mumpuni; M. Syahrul Munir
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.33106

Generally, someone who feels sick in his body wants to know his actual health condition by visiting a doctor at a hospital or other health service center for a medical examination. The doctor will ask about the symptoms experienced by the patient and sometimes examine several parts of the body to get important information before he diagnoses the patient's health condition. Theoretically, based on research developments in the medical field, changes in conditions (related to color, texture, and shape) on fingernails or toenails indicate changes in the health condition of a person's body. When someone has a health problem, the body's nerves will send signals to the fingernail or toenail area, and then the physical condition of the nail changes color, texture, and shape. These changes occur slowly, according to the condition of a person's body. Each type of health disorder or disease in the body will produce unique nail changes. Visually, the physical changes of the nails are often not very visible, but if you look closely, these changes do occur. Our research proposes an intelligent system (an artificial intelligence-based software application) to automatically diagnose body health conditions using photos of fingernails. The analysis process is carried out on the nail image to find out whether someone has health problems or not. The system for detecting body health conditions automatically using photos of nails produced in our research has a relatively good performance, namely an accuracy of 86.45%, a precision of 0.78, a recall of 1.0, and an f1 score of 0.88.

THE INFLUENCE OF TILT ANGLE ON THE DAILY PROFILE TOTAL ENERGY OF PHOTOVOLTAIC POLYCRYSTAL Bagas Aryaseta; Primasari Cahya Wardhani; Nur Aini Fauziyah; Achmad Dzulfiqar Alfiansyah; Syahrul Munir; Aulia Dewi Fatikasari; Nia Dwi Puspitasari
JURNAL PENA SAINS Vol 11, No 1 (2024): Jurnal Pena Sains
Publisher : Program Studi Pendidikan IPA, Fakultas Ilmu Pendidikan, Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/jps.v11i1.19506

This preliminary study aims to determine the daily profile of the power output generated from solar panels, with variations in the house’s roof angles of 15º, 0º, 15º. Tilt angle investigation expects to discover the impact of placing solar panels on the slope of the tile used on the house’s roof. The collecting data of this study was investigated the data of current and voltage every hour that produced by solar panel. Besides, this study also comparing the result of total energy output value for daily profile of solar panel during ten hour per day (start from 7 am to 5 pm). The results show that solar panels with an angle of -15º at 07:00 – 10:00 WIB have higher output voltage and current than other angle variations. At a tilt angle of 0º, the output voltage and current of the solar panel are higher at 11:00-14:00 WIB, while at a tilt angle of 15º in the afternoon. Based on observations, each solar panel with exposure for 10 hours obtained the total energy value for polycrystalline solar panels with a tilt angle of -15º of 258.44 Wh, solar panels with an angle of 0º obtained an energy value of 263.64 Wh, and a tilt angle of 15º obtained energy values 260.69 Wh. The photonic energy emitted for 10 hours is 2097.47 Wh. The energy efficiency value for each polycrystalline solar panel is 12.32% for the angle of -15º, the angle of 0º is 12.57%, and 12.43% for the angle of 15º. In conclusion, variations in the angle of the solar panels have significant effect on the voltage, current, and energy generated from polycrystalline solar panels in every hour. However, based on the data result the total energy exposure and the efficiency value for each variation angle has no significant different. Pyramid-shaped house roof construction has the advantage of increasing the value of the cross-sectional area of the tile, which has the opportunity to install wider-sized solar panels so that a greater value of electrical energy is obtained.

Performance of the CNN Method for Identifying Health Conditions Based on Nail Images Budi Nugroho; Retno Mumpuni; M. Syahrul Munir
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.33106

Generally, someone who feels sick in his body wants to know his actual health condition by visiting a doctor at a hospital or other health service center for a medical examination. The doctor will ask about the symptoms experienced by the patient and sometimes examine several parts of the body to get important information before he diagnoses the patient's health condition. Theoretically, based on research developments in the medical field, changes in conditions (related to color, texture, and shape) on fingernails or toenails indicate changes in the health condition of a person's body. When someone has a health problem, the body's nerves will send signals to the fingernail or toenail area, and then the physical condition of the nail changes color, texture, and shape. These changes occur slowly, according to the condition of a person's body. Each type of health disorder or disease in the body will produce unique nail changes. Visually, the physical changes of the nails are often not very visible, but if you look closely, these changes do occur. Our research proposes an intelligent system (an artificial intelligence-based software application) to automatically diagnose body health conditions using photos of fingernails. The analysis process is carried out on the nail image to find out whether someone has health problems or not. The system for detecting body health conditions automatically using photos of nails produced in our research has a relatively good performance, namely an accuracy of 86.45%, a precision of 0.78, a recall of 1.0, and an f1 score of 0.88.

Title

Found 15 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 15 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 15 Documents
Search