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PROTOTYPE OF WATER PIPE LEAKAGE DETECTOR USING FLOWMETER SENSOR BASED ON ARDUINO UNO Widayaka, Parama Diptya; Jauhari, Lutfi
BEST Vol 2 No 1 (2020): BEST
Publisher : Program Studi Teknik Elektro Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol2.no1.2585

Abstract

Water pipe leakage causes financial loss for the user such as PAM or PDAM. YF-S201B flowmeter sensor is a water flow sensor made of plastic with a rotor and hall effect sensor inside. The rotor will spin when the water flow through the sensor. The speed of rotor spin is proportional to the water flow. The hall effect based sensor can be used to detect water flow up to 30 liter/minute (1.800L/hour) thus, the sensor can be used to control the water flow in distribution system and water debit monitoring. The principle of prototype is the placement of sensor before the leakage and after leakage position to obtain different value of water debit. The system will send a short message automatically to the phone if water leakage is detected in the pipeline.
HOLD HEADING POSITION SYSTEM OF UNDERWATER REMOTELY OPERATED VEHICLE BASED ON PID Diptya Widayaka, Parama; Sujiwa, Akbar
BEST Vol 2 No 2 (2020): BEST
Publisher : Program Studi Teknik Elektro Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol2.no2.3463

Abstract

Underwater remotely operated vehicle mainly used to help human for underwater activities such as underwater exploration, underwater maintenance, and underwater search and rescue. Underwater remotely operated vehicle also used for education, entertainment, and competitions. In some case especially for an important or highly risk tasks, the ROV applied some functions to improve and optimize the use of the ROV for some missions. This paper presents a heading hold system which is applied in the ROV to maintain heading position or pose of the robot. Using a GY-271 compass sensor to read the data of ROV heading position, microcontroller Arduino mega 2560 as a central processing unit and PID controller as a feedback controller to maintain ROV on desired position by controlling thruster speed and direction. The experiments give a result of the control system using PID by 5% error for the ROV to maintain heading position in steady position.
PROTOTYPE OF WATER PIPE LEAKAGE DETECTOR USING FLOWMETER SENSOR BASED ON ARDUINO UNO Parama Diptya Widayaka; Lutfi Jauhari
BEST Vol 2 No 1 (2020): BEST
Publisher : Program Studi Teknik Elektro Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol2.no1.2585

Abstract

Water pipe leakage causes financial loss for the user such as PAM or PDAM. YF-S201B flowmeter sensor is a water flow sensor made of plastic with a rotor and hall effect sensor inside. The rotor will spin when the water flow through the sensor. The speed of rotor spin is proportional to the water flow. The hall effect based sensor can be used to detect water flow up to 30 liter/minute (1.800L/hour) thus, the sensor can be used to control the water flow in distribution system and water debit monitoring. The principle of prototype is the placement of sensor before the leakage and after leakage position to obtain different value of water debit. The system will send a short message automatically to the phone if water leakage is detected in the pipeline.
HOLD HEADING POSITION SYSTEM OF UNDERWATER REMOTELY OPERATED VEHICLE BASED ON PID Parama Diptya Widayaka; Akbar Sujiwa
BEST Vol 2 No 2 (2020): BEST
Publisher : Program Studi Teknik Elektro Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol2.no2.3463

Abstract

Underwater remotely operated vehicle mainly used to help human for underwater activities such as underwater exploration, underwater maintenance, and underwater search and rescue. Underwater remotely operated vehicle also used for education, entertainment, and competitions. In some case especially for an important or highly risk tasks, the ROV applied some functions to improve and optimize the use of the ROV for some missions. This paper presents a heading hold system which is applied in the ROV to maintain heading position or pose of the robot. Using a GY-271 compass sensor to read the data of ROV heading position, microcontroller Arduino mega 2560 as a central processing unit and PID controller as a feedback controller to maintain ROV on desired position by controlling thruster speed and direction. The experiments give a result of the control system using PID by 5% error for the ROV to maintain heading position in steady position.
Convolutional Neural Network for Cataract Maturity Classification Based LeNet Radimas Putra Muhammad Davi Labib; Sirojul Hadi; Parama Diptya Widayaka; Irmalia Suryani Faradisa
Jurnal Varian Vol 5 No 2 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v5i2.1629

Abstract

The eyes are one of the vital organs owned by humans. One of the common eye diseases is cataracts. This disease is characterized by clouding of the lens of the eye and can interfere with vision. Worst case, sufferers can experience blindness. Cataract maturity can be divided into four categories, namely incipient, immature, mature, and hypermature. Cataracts can be removed through surgery when the cataract is in the mature or hypermature phase. Cataract examination is usually done using a slit lamp. The lack of hospitals that have this equipment can cause delays in the healing process for cataract sufferers. This study created an image processing algorithm for the maturity classification process of cataracts using the Convolutional Neural Network method with LeNet network architecture. The algorithm that has been built is capable of classifying the maturity of cataracts with an accuracy rate of 93.33%
Pengukuran Jarak Pada Mobile Robot Menggunakan Xbee Berdasarkan Nilai Receive Signal Strength Indicator (RSSI) Sirojul Hadi; Parama Diptya Widayaka; Radimas Putra M.D.L; Reza Diharja
Jurnal Bumigora Information Technology (BITe) Vol 2 No 1 (2020)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (294.07 KB) | DOI: 10.30812/bite.v2i1.813

Abstract

Xbee merupakan modul radio frequency transceiver. Xbee yaitu modul wireless yang dapat berfungsi sebagai pengirim atau penerima data. Modul wireless Xbee memiliki frekuensi kerja sebesar 2,4 GHz. Modul wireless tersebut sering digunakan untuk melakukan komunikasi dan pengiriman data secara nirkebel. Selain digunakan untuk berkomunikasi, modul wireless Xbee juga dapat dimanfaatkan untuk mengukur jarak antara wireless Xbee yang satu dengan wireless Xbee yang lainnya menggunakan nilai receive signal strength indicator (RSSI). Nilai RSSI diukur dari kekuatan sinyal ketika modul Xbee mengirim dan menerima data. Salah satu penerapan pengukuran jarak menggunakan nilai RSSI yaitu pada koloni mobile robot dengan metode swarm intelligent untuk membentuk formasi. Pada penelitian ini, Xbee digunakan untuk menghitung jarak antara dua mobile robot. Salah satu mobile robot berfungsi untuk mengirim data dan mobile robot lainnya berfungsi sebagai penerima data. Hasil dari penelitian ini yaitu modul Xbee dapat digunakan untuk menghitung jarak antara dua titik dengan tingkat kesalahan dalam pengukuran jarak yaitu sebesar 1,695 meter.
Mirroring Display KWH Meter untuk Memantau Penggunaan Daya Listrik Menggunakan Mikrokontroler ESP32-CAM Ilham Dwi Christanto; Reza Diharja; Mardiono Mardiono; Parama Diptya Widayaka; Alfarid Hendro Yuwono
Jurnal Bumigora Information Technology (BITe) Vol 3 No 2 (2021)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v3i2.1613

Abstract

Alat “Mirroring Display KWH Meter untuk Memantau Penggunaan Daya Listrik Menggunakan Mikrokontroler ESP32-CAM” telah berhasil dibuat. Alasan utama penciptaannya karena petugas PLN pencatat kWh meter tidak dapat masuk ke rumah. Mengakibatkan pemakaian listrik pada bulan itu disama-ratakan dengan pemakaian listrik pada bulan sebelumnya dan pelanggan merasa dirugikan. Alat yang dibuat menempatkan sebuah layar yang nantinya bisa ditempatkan di luar rumah dan memperlihatkan nilai pemakaian daya setiap bulannya dan dapat dikomparasi dengan biaya tagihan listrik bulanannya. Alat dilengkapi dengan IoT sehingga pemakaian daya dapat dipantau dari jarak jauh.Dari hasil pengujian dan pengukuran, didapatkan bahwa semakin besar nilai beban yang diterapkan pada aliran listrik makan akan berefek pada nilai data luarannya seperti arus dan tegangan. Data yang didapatkan dari modul sensor PZEM-004T masih harus dilakukan penyesuaian sehingga benar-benar mendekati nilai sebenarnya. Didapatkan nilai rasio VA hasil pengukuran melalui modul sensor PZEM-004T dan alat ukur multimeter untuk satu beban sebesar 99,12% dan 96,97% untuk dua beban. Hasil tersebut dapat digunakan untuk pemantauan daya tiap bulannya. Kedepannya, untuk proses mirroring display dapat diterapkan pada aplikasi sehingga akan lebih memudahkan pengguna.
Perbandingan Akurasi Pengukuran Sensor LM35 dan Sensor DHT11 untuk Monitoring Suhu Berbasis Internet of Things Sirojul Hadi; Radimas Putra Muhammad Davi Labib; Parama Diptya Widayaka
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 6, No 3 (2022)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (813.98 KB) | DOI: 10.30998/string.v6i3.11534

Abstract

Temperature is an object of research that is often studied. Research on temperature is within the scope of control and monitoring. The process of controlling and monitoring temperature is influenced by the selection of the right temperature sensor. The temperature sensors that are often used are the LM35 sensor and the DHT11 sensor. The LM35 sensor has advantages in terms of a simple design and easy to implement, while the DHT11 sensor has the advantage because in one sensor package there are two functions, namely to measure air temperature and humidity. In this study, temperature measurement accuracy was carried out to facilitate researchers in determining the right temperature sensor. The data monitoring method uses the internet of things (IoT). The results of the research show that the DHT11 temperature sensor is more accurate and more stable than the LM35 temperature sensor. The results of the sensor test at room temperature, the DHT11 sensor has an accuracy rate of 97.21% while the LM35 sensor has an accuracy rate of 96.86%. While the results of the sensor test in the server room, the DHT11 sensor has an accuracy rate of 95.26%, while the LM35 sensor has an accuracy rate of 90.32%.
Low Cost System for Face Mask Detection Based Haar Cascade Classifier Method Radimas Putra Muhammad Davi Labib; Sirojul Hadi; Parama Diptya Widayaka
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 21 No 1 (2021)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1567.268 KB) | DOI: 10.30812/matrik.v21i1.1187

Abstract

In December 2019, there was a pandemic caused by a new type of coronavirus, namely SARS-CoV-2 (Severe Acute Respiratory Syndrome Corona Virus 2) spread almost throughout the world. The World Health Organization (WHO) named it COVID-19 (Coronavirus Disease). To minimize the spread of the COVID-19, the Indonesian government announced a policy for the social distancing of 1-2 meters and wearing a medical mask. In this study, a mask detection system was built using the Haar Cascade Classifier method by detecting the facial areas such as the nose and lips. The study aims to distinguish between using masks and on the contrary. It is expected that the mask detection system can be implemented to provide direct warnings to people who do not wear masks in public areas. The results using the Haar Cascade Classifier method show that the system designed is able to detect faces, noses, and lips at a light intensity of 80-140 lux. The face is detected at a distance of 30-120cm, while the nose is at a distance of 30-60cm, while the lips are at a distance of 30-70cm. The system designed can perform the detection process at a speed of 5 fps. The overall test results obtained a success rate of 88,89%.
Komparasi Performansi Sensor sebagai Perangkat Pengukuran Ketinggian Air pada Sistem Notifikasi Banjir Parama Diptya Widayaka; Sirojul Hadi; Radimas Putra Muhammad Davi Labib; Khairan Marzuki
Jurnal Bumigora Information Technology (BITe) Vol 4 No 1 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i1.1997

Abstract

Banjir merupakan salah satu kejadian alamiah yang dapat terjadi kapan saja dan dapat mempengaruhi lingkungan. Faktor yang mempengaruhi banjir seperti contohnya kapasitas sungai yang tidak dapat mengakomodasi debit air dan menyebabkan air meluap ke area di sekitarnya. Indonesia merupakan salah satu negara di Asia Tenggara yang memiliki tingkat curah hujan yang tinggi dan sering terjadi banjir di beberapa daerah. Di beberapa tempat, banjir dapat meluap di jalan menuju pemukiman penduduk dan merugikan warga karena kurangnya informasi peringatan dan pemberitahuan tentang status ketinggian air sungai di daerah tersebut. Mengacu pada kasus ini, sistem peringatan banjir harus diterapkan untuk memberikan informasi tentang status ketinggian air kepada warga. Sensor harus diterapkan di dalam sistem peringatan dini untuk membaca dan mengukur ketinggian air di dalam sungai dan sistem akan mengirimkan pemberitahuan kepada warga tergantung pada ketinggian air sehingga warga dapat bersiap jika banjir terjadi kapan saja. Sistem yang menggunakan sensor jarak untuk mendeteksi ketinggian air dan mikrokontroler akan mengolah data ketinggian air menjadi beberapa tahap. Pada artikel ini, kami membandingkan kinerja sensor ketinggian air sebagai alat pengukur untuk memberikan akuisisi data ketinggian air terbaik. Hasilnya, sensor ultrasonic HC-SR04 menghasilkan akurasi sebesar 98,86% dan sensor LIDAR VL53L0X menghasilkan akurasi sebesar 88,95% pada proses pengukuran ketinggian air