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All Journal Jurnal Elementer (Elektro dan Mesin Terapan) Proceeding Applied Business and Engineering Conference

Noptin Harpawi

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Author-ID : 3806263

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Teknik Resonant Coupling Untuk Penambahan Jarak Pada Wireless Charging Noptin Harpawi; Tara Hidayat; Cyntia Widiasari
Jurnal Elektro dan Mesin Terapan Vol. 4 No. 1 (2018): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Pengisian baterai secara wireless tentu akan memberikan kontribusi yang baik dalam rumah tangga maupun tempat kerja. Dalam proses untuk mengimplementasikan dari wireless charging mempunyai kendala yaitu jarak transmisi yang pendek.. Dalam Penelitian ini peneliti mengusulkan dengan menambah ukuran diameter coil, menambah jumlah lilitan, pemilihan diameter kawat terbaik, dan menggunakan teknik kopling resonansi untuk meningkatkan jarak dan efisiensi. Berdasarkan dari hasil penelitian yang telah diperoleh, dengan menggunakan teknik kopling resonansi dapat meningkatkan jarak transmisi sejauh 9 cm dengan LED sebagai indikator beban dan pada jarak 1cm dengan beban 2 KOhm didapatkan efiesiensi sebesar 6%. Kata kunci:Wireless Charging, Kopling Resonansi, Efisiensi

Monitoring Kualitas Udara dan Kontrol Air Purifier Honeywell HHT-080 Noptin Harpawi; Yuli Triyani; Wahyuni Khabzli; Yogi Syaputra
Jurnal Elektro dan Mesin Terapan Vol. 8 No. 1 (2022): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Air is very important for the survival of living things, air quality will affect the state of human health. At present air quality is only monitored by KLH (Ministry of Environment) of Riau Province, with monitoring points only 1-3 points per city / regency in Riau. The frequent occurrence of forest fires in Riau, causing air quality to deteriorate rapidly so it requires a tool that can monitor air quality and improve air quality to maintain human health. Therefore, the authors conducted research and design of tools to be able to monitor air quality (CO gas levels) and improve air quality in the room. The workings of this monitoring device are MQ-7 gas sensors measuring CO (carbon monoxide) gas levels, where the data is then processed and sent through a wi-fi network using ESP8266 and the data is also used as a reference for control the air purifier in the room. The results of this monitoring are shared using Google Spreadsheets by e-mail to the people whom concerned. The MQ-7 sensor works best in the range of 50-150 ppm carbon monoxide gas with a deviation of 14 ppm from a calibrated multi gas detector. Keywords: Monitoring, Gas CO, ESP8266, MQ-7, Google Sheets, Air quality, Air Purifier.

Computer Aided Diagnosis (CAD) untuk Phonocardiogram (PCG) Berbasis Fast Fourier Tranform Yuli Triyani; Wahyuni Khabzli; Noptin Harpawi; Wiwin Styorini
Jurnal Elektro dan Mesin Terapan Vol. 7 No. 1 (2021): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Data from WHO 2015 shows that 70% of deaths in the world are caused by non-infection diseases, 45% are caused by heart and blood vessel disease, namely 17.7 million from 39.5 million deaths. Riset Kesehatan Dasar (Riskesdas) reported that in 2018, there were 15 of 1000 people, or 2,784,064 individuals in Indonesia suffering from heart disease. Symptoms of heart abnormalities often come suddenly. Therefore, early recognition can help to avoid heart attacks. Doctors currently use a heart sound / phonocardiogram (PCG) to assess the performance of the heart using a stethoscope. The PCG’s diagnosis is very influenced by the subjectivity of doctors because of its relatively weak and physical limitations. So that the possibility of a False Positive Result happening is quite high. To minimize this risk, a Computer Aided Diagnosis (CAD) PCG signal was developed. Several studies have proposed a PCG diagnostic method using the wavelet or Welch method and based on Neural Network are more complex. In this study, a simple diagnosis method is proposed so that the computation is easier and faster with good accuracy. The PCG signal is amplified twice, then the Fast Fourier Transform (FFT) process is carried out to obtain the characteristics of the fundamental frequency and max amplitude. The classification stage uses the Multi Layer Perceptron (MLP). From testing of 55 data PCG, the results obtained accuracy of 90%, sensitivity of 80%, PPV of 100% and NPV of 83.33%. Keywords: PCG, CAD, FFT, frekuensi fundamental, classification

Co-Authors Basel Friadi Cyntia Widiasari Mochamad Susantok Novemi Srihartini Almus Tara Hidayat Wahyuni Khabzli Wiwin Styorini Yogi Syaputra Yuli Triyani Yuli Triyani

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