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Development of Healthcare Kiosk for Checking Heart Health Sigit, Riyanto; Arief, Zainal; Bachtiar, Mochamad Mobed
EMITTER International Journal of Engineering Technology Vol 3, No 2 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (455.371 KB)

The main problem encountered nowadays in the health field, especially in health care is the growing number of population and the decreasing health facilities. In this regard, healthcare kiosk is used as an alternative to the health care facilities. Heart disease is a dangerous one which could threaten human life. Many people have died due to heart disease and the surgery itself is still very expensive. To analyze heart diseases, doctor usually takes a video of the heart movement using ultrasound equipment to distinguish between normal and abnormal case. The results of analysis vary depending on the accuracy and experience of each doctor so it is difficult to determine the actual situation. Therefore, a method using healthcare kiosk to check the heart health is needed to help doctor and improve the health care facilities. The aim of this research is to develop healthcare kiosk which can be used to check the heart health. This research method is divided into three main parts: firstly, preprocessing to clarify the quality of the image.In this section, the writers propose a Median High Boost Filter method which is a combined method of Median Filtering and High Boost Filtering. Secondly, segmentation is used to obtain local cavities of the heart. In this part, the writers propose using Triangle Equation that is a new method to be developed. Thirdly, classification using Partial Monte Carlo method and artificial neural network method; these methods are used to measure the area of the heart cavity and discover the possibility of cardiac abnormalities. Methods for detecting heart health are placed in the kiosk. Therefore, it is expected to facilitate and improve the healthcare facilities.Keywords: Healthcare kiosk, heart health, reprocessing, segmentation, classification.

Development of Healthcare Kiosk for Checking Heart Health Arief, Zainal; Bachtiar, Mochamad Mobed; Sigit, Riyanto
EMITTER International Journal of Engineering Technology Vol 3, No 2 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

The main problem encountered nowadays in the health field, especially in health care is the growing number of population and the decreasing health facilities. In this regard, healthcare kiosk is used as an alternative to the health care facilities. Heart disease is a dangerous one which could threaten human life. Many people have died due to heart disease and the surgery itself is still very expensive. To analyze heart diseases, doctor usually takes a video of the heart movement using ultrasound equipment to distinguish between normal and abnormal case. The results of analysis vary depending on the accuracy and experience of each doctor so it is difficult to determine the actual situation. Therefore, a method using healthcare kiosk to check the heart health is needed to help doctor and improve the health care facilities. The aim of this research is to develop healthcare kiosk which can be used to check the heart health. This research method is divided into three main parts: firstly, preprocessing to clarify the quality of the image.In this section, the writers propose a Median High Boost Filter method which is a combined method of Median Filtering and High Boost Filtering. Secondly, segmentation is used to obtain local cavities of the heart. In this part, the writers propose using Triangle Equation that is a new method to be developed. Thirdly, classification using Partial Monte Carlo method and artificial neural network method; these methods are used to measure the area of the heart cavity and discover the possibility of cardiac abnormalities. Methods for detecting heart health are placed in the kiosk. Therefore, it is expected to facilitate and improve the healthcare facilities.Keywords: Healthcare kiosk, heart health, reprocessing, segmentation, classification.

Development of Healthcare Kiosk for Checking Heart Health Riyanto Sigit; Zainal Arief; Mochamad Mobed Bachtiar
EMITTER International Journal of Engineering Technology Vol 3 No 2 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

The main problem encountered nowadays in the health field, especially in health care is the growing number of population and the decreasing health facilities. In this regard, healthcare kiosk is used as an alternative to the health care facilities. Heart disease is a dangerous one which could threaten human life. Many people have died due to heart disease and the surgery itself is still very expensive. To analyze heart diseases, doctor usually takes a video of the heart movement using ultrasound equipment to distinguish between normal and abnormal case. The results of analysis vary depending on the accuracy and experience of each doctor so it is difficult to determine the actual situation. Therefore, a method using healthcare kiosk to check the heart health is needed to help doctor and improve the health care facilities. The aim of this research is to develop healthcare kiosk which can be used to check the heart health. This research method is divided into three main parts: firstly, preprocessing to clarify the quality of the image.In this section, the writers propose a Median High Boost Filter method which is a combined method of Median Filtering and High Boost Filtering. Secondly, segmentation is used to obtain local cavities of the heart. In this part, the writers propose using Triangle Equation that is a new method to be developed. Thirdly, classification using Partial Monte Carlo method and artificial neural network method; these methods are used to measure the area of the heart cavity and discover the possibility of cardiac abnormalities. Methods for detecting heart health are placed in the kiosk. Therefore, it is expected to facilitate and improve the healthcare facilities.Keywords: Healthcare kiosk, heart health, reprocessing, segmentation, classification.

P5 Module Embedded System online training using HD-2020 for vocational students in Surabaya Heny Yuniarti; Reni Soelistijorini; Maretha Ruswiansari; Setiawardhana Setiawardhana; Riyanto Sigit; Bayu Sandi Marta; Mochamad Mobed Bachtiar; Dewi Mutiara Sari; Iwan Kurnianto Wibowo
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol 7, No 2 (2022): May 2022
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v7i2.6310

Vocational students need hard skills and empowerment to enter the workforce. This community service activity aims to improve the skills of SMK Negeri 6 Surabaya students through training to make simple applications for running text LEDs from the P5 module. Running text is one of the electronic media that is very useful for conveying messages and information. Program activities that have been adapted to the needs of the school. So that this program is able to improve the quality of their hard skills and bring benefits to the community, lecturers, employees, and students of the EEPIS (Electronic Engineering Polytechnic Institute of Surabaya) Computer Engineering Study Program. The implementation method includes an initial survey of partner needs, vocational needs analysis, online training preparation, and installation and delivery of tools. The results of the post-test using a questionnaire showed that 97.9% of participants stated that there was an increase in embedded systems skills, especially in the P5 module and its software applications. There were 85.4% of participants wanted to learn more about embedded systems for other areas of expertise.

Deteksi Objek pada Pengambil Muatan Autonomous VTOL berdasarkan Fitur Warna dan Bentuk Niam Tamami; Mochamad Mobed Bachtiar; Mohammad Syafrudin; Eru Puspita
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3569

Dalam era modern, Autonomous VTOL (Vertical Take Of and Landing) telah mengambil peran yang semakin signifikan dalam berbagai aplikasi, salah satunya pengiriman barang. Keberhasilan proses pengambilan muatan ditentukan dari keberhasilan proses deteksi. Pada lingkungan terbuka, deteksi muatan sering kali tidak akurat karena adanya objek lain yang berada di atas tanah. Pada penelitian ini, proses deteksi didasarkan pada fitur warna dan bentuk dari objek untuk meningkatkan akurasi deteksi. Deteksi warna dilakukan dengan memberikan range batas nilai HSV dan menghitung luasan terbesar untuk mengetahui posisi muatan pada gambar. Selanjutnya deteksi Haar Cascade digunakan untuk memastikan apakah fitur bentuk objek sesuai dengan objek yang ingin dideteksi. Deteksi objek dengan hanya menggunakan Haar Cascade digunakan sebagai pembanding. Dari percobaan yang telah dilakukan, deteksi dengan menggunakan Haar Cascade didapatkan nilai akurasi 70.68%, sedangkan kombinasi deteksi kontur warna dan Haar Cascade didapatkan nilai akurasi yang lebih tinggi yaitu 87.93%.

Simulation Strategic Positioning for Mobile Robot Roccer Wheels Bachtiar, Mochamad Mobed; Wibowo, Iwan Kurnianto; Ajie, Rakhmat Faizal
Journal of Applied Informatics and Computing Vol. 2 No. 1 (2018): Juli 2018
Publisher : Politeknik Negeri Batam

Soccer robot is a combination of sports, robotics technology and multi agent system. The achieve goals in playing the ball, requires individual intelligence, and the ability of cooperation for individual skills. The success of a soccer robot team is influenced by the success of the robot player to enter the ball into the opponent's goal. In entering the ball into the opponent's goal needed an appropriate position and strategic. This research makes the design in finding a strategic position at the time of attack. The design divides the field into several small areas or the main grid, where each region gives different action. The position is said to be strategic if the robot passing success and has a fairly wide perspective against the goal. The strategic position is gained from the greatest opportunity of some of the decisive conditions. The calculation used is to use the Probability Naive Bayes Classifier by taking the maximum value that serve as a strategic position. So this research resulted in a design in finding strategic position.

Penerapan Modular Smart PJU di Daerah Keputih Surabaya Bachtiar, Mochamad Mobed; Wibowo, Iwan Kurnianto; Marta, Bayu Sandi; Ardilla, Fernando
El-Mujtama: Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2025): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v5i1.6284

Street lighting is an important aspect of village infrastructure that affects the safety and mobility of the community. However, many villages still rely on manual systems to manage street lighting, causing inefficiencies in energy management and uncertainty in the availability of adequate lighting. The implementation of Smart PJU technology offers a solution to improve the efficiency, control, and monitoring of street lighting. However, the adoption of this technology is hampered by funding constraints and the availability of adequate devices. This study aims to develop and implement Smart PJU technology in Keputih Village, Indonesia, by involving collaboration between the Computer Engineering Study Program of PENS, village officials, and the local community. The resulting product, namely the Smart PJU Modular Device using Wireless technology, not only includes hardware for monitoring and controlling PJU lights, but also provides added value through increasing the level of domestic content (TKDN) and developing research in the Internet of Things (IoT). With this product, it has provided significant benefits to the people of Keputih Village, thus supporting and improving the quality of village infrastructure, as well as encouraging participation in the development of sustainable technology. Through this community service, the Keputih Village Community has obtained a practical solution to the problem of public street lighting and spurred innovation at the local level. Smart PJU has been installed on the PJU lights in the Keputih five-way intersection area and in front of the Keputih Village entrance. Smart PJU has been integrated with the website https://desabinaan.pens.ac.id/, where it can be monitored online whether the PJU lights are on or not, the voltage and current values that flow, and allows you to control the lights remotely.

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