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Kurniawan N, Andi
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Electrical & Electronics Engineering

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RANCANG BANGUN SMART HOME AUTOMATIC CONTROL dengan KOMUNIKASI MELALUI BLUETOOTH HC-05 BERBASIS MIKROKONTROLER ARDUINO dan ANDROID Erwinnanto, Yohan; Kurniawan N, Andi; Heranurweni, Sri
Elektrika Vol. 9 No. 2 (2017): Oktober 2017
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/elektrika.v9i2.1092

Abstract

Design of Smart Home Automatic Control with Communications Via Bluetooth HC-05-Based Microcontroller Arduino and Android, will provide all the comfort, safety, security and energy savings, which takes place automatically and programmed via microcontroller, the house or building. Design of Smart Home Automatic with Control Communications Via Bluetooth HC-05-Based Microcontroller Arduino and Android is intended for automatic control processes.The system consists of seven sensors, keypad password for security doors, HC-05 Bluetooth GSM alarm application and device control applications aktuaktor, and aktuaktor buzzer, dc motors, lights, fans and fan dc exhausting. Among these sensors is a PIR sensor to detect theft, sensor MQ6 to detect leakage of LPG gas and smoke from fires, sensor HC-SR04 ultrasonic for automatic garage doors, fire sensors to detect a fire, the sensor LM35 to detect the temperature of the room, when the room temperature is hot the fan will be on automatically, when the cold room temperature will shut off the fan and LDR sensor to detect the intensity of light during the day which turn the lights off automatically and vice versa, thus saving energy. Homeowners can also control lights and monitoring sensors with android phones that are connected with communication via Bluetooth HC-05 microcontroller arduino, and can receive GSM alarm application sensors such as calling and sms.Test results are used UART communication data transmission between the microcontroller serial monitor monitor has an error of 0 % . HC - 05 Bluetooth can accept orders at the farthest distance of 11 meters . The fire sensor can work well when the fire was 1-10 cm . Sensor HC - SR04 is already working with an error rate of 0.3 %, so the accuracy of this tool by 100 % - 0.3 % = 99.7 % .Keywords : Security Door , Bluetooth HC - 05 , Microcontroller Arduino and Android , Application Control and Application GSM alarm.
RANCANG BANGUN ROBOT PEMADAM API BERODA DENGAN NAVIGASI SENSOR KOMPAS BERBASIS ATMEGA 128 Nurul hilal, Yusuf; Heranurweni, Sri; Kurniawan N, Andi
Elektrika Vol. 9 No. 1 (2017): April 2017
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (527.142 KB) | DOI: 10.26623/elektrika.v9i1.1108

Abstract

CMPS03 an electronic compass sensor navigation sensor that helps in determining the direction toward the robot and in tracing the wall or room that works according to the principle of the compass in general. CMPS03 electronic compass sensor has two sensors that will detect ferrous magnetic Earth's magnetic field and also has a range of angles 360Ëš, the resulting data is then sent to the microcontroller Keywords: Compass Sensor, Robot, and Microcontroller.
Analisa Citra Medis Pada Pasien Stroke dengan Metoda Peregangan Kontras Berbasis ImageJ Destyningtias, Budiani; Kurniawan N, Andi; Heranurweni, Sri
Elektrika Vol. 10 No. 1 (2018): April 2018
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (999.936 KB) | DOI: 10.26623/elektrika.v10i1.1130

Abstract

Penelitian ini bertujuan mengembangankan teknologi pengolahan citra medis terutama citra medis CT Scan penderita stroke. Dokter dalam menentukan tingkat keparahan pasien stroke biasanya menggunakan citra medis CT scan dan mengalami kesulitan dalam menginterpretasikan luasan cakupan perdarahan.Solusi yang digunakan dengan peregangan kontras yang akan membedakan jaringan sel, tulang tengkorak dan jenis perdarahan. Penelitian ini menggunakan peregangan kontras dari hasil citra CT Scan yang dihasilkan dengan terlebih dahulu mengubah Citra DICOM menjadi citra JPEG dengan menggunakan bantuan program ImageJ. Hasil penelitian menunjukkan bahwa metode histogram ekualisasi dan analisis tekstur statistik dapat digunakan untuk membedakan yang normal MRI dan abnormal MRI yang terdeteksi stroke. Kata Kata Kunci : Stroke, MRI , Dicom, JPEG, ImageJ, Peregangan Kontras
Co-Authors Budiani Destyningtias Erwinnanto, Yohan Nurul hilal, Yusuf Sri Heranurweni