1,722,533 research outputs found
Rancang Bangun Monitoring Tegangan Listrik Rumah Tangga Berbasis NodeMcu ESP8266 Menggunakan Smartphone
Full text linkThe development of modern residential types around campus has caused problems in monthly electricity bills. In general, the cost of electricity bills for rooms is determined based on the total bill on the electricity meter account divided by the number of rooms. Therefore, a tool is needed that is able to monitor the use of electrical energy and is able to limit the current usage of the load, even though the user of electrical energy is not at home. Of course, to make this tool requires a voltage sensor, current sensor, relay, and NodeMCU. The voltage sensor uses the ZMPT101B which functions to read the voltage value, the sensor functions to limit the current value in a way when the current sensor reads the current value on the load and then the author regulates the program by limiting the current that may enter. This monitoring tool functions to process data read from the voltage sensor and current, and NodeMCU as a WIFI module that functions to send data to the server so that it can be viewed with an internet network. The test results were measured for 4 hours on iron loads, fans, televisions, laptop cases, HP, using the ZMPT101B error respectively of 0.32%57 HalamanKertas Karya Diplom
Rancang Bangun Monitoring Tegangan Listrik Rumah Tangga Berbasis NodeMcu ESP8266 Menggunakan Smartphone
Full text linkThe development of modern residential types around campus has caused problems in monthly electricity bills. In general, the cost of electricity bills for rooms is determined based on the total bill on the electricity meter account divided by the number of rooms. Therefore, a tool is needed that is able to monitor the use of electrical energy and is able to limit the current usage of the load, even though the user of electrical energy is not at home. Of course, to make this tool requires a voltage sensor, current sensor, relay, and NodeMCU. The voltage sensor uses the ZMPT101B which functions to read the voltage value, the sensor functions to limit the current value in a way when the current sensor reads the current value on the load and then the author regulates the program by limiting the current that may enter. This monitoring tool functions to process data read from the voltage sensor and current, and NodeMCU as a WIFI module that functions to send data to the server so that it can be viewed with an internet network. The test results were measured for 4 hours on iron loads, fans, televisions, laptop cases, HP, using the ZMPT101B error respectively of 0.32%57 HalamanKertas Karya Diplom
Penerapan Mppt P&O Pada Wind Turbine dengan Mosfet Sebagai Switching dan Arduino Sebagai Mikrokontrolernya
Full text linkThe 11eedfor electrical e11ergy for ma11ki11d today has a very important role. Along with that, the need for electrical energy is increasing. With the increasing need for electrical energy, an adequate source of electrical energy is also needed. Wind power generation technology was developed to be able to co11nect into the electrical system. The available wind energy capacity that can be converted into electric power is 1.26x109 MW Wi11d energy can produce electrical energy by using wind turbines. A generator commonly used in wind turbine-based electrical energy generation is the Permanent Magnet Synchronous Generator (PMSG). The amount of output power produced by PMSG varies, depending on the amount of wind speed. Maximum Power Point Tracking (MPPT) is used to obtain the maximum power value of this electrical energy generation. MPPT-based Perturb & Observe (P&O) method has been widely used in the search for maximum power values. Based 011 research that has been carried out, the use of the MPPT system using the peturb and Obserb (P &O) algorithm on the wind h1rbine can improve
the work of the wind turbine, so that wind turbines that use the MPPT system work better than wind turbines that do not use the MPPT system in determining their maximum worki11g poi11t. MPPT Peturb and Obserb has an algorithm that ca11 increase a11d decrease the voltage as we wa11t. With automatic programmed Duty Sycle changes, so it can track the voltage to its MP. Using the Peturb and Obserb algorithm, the voltage will be tracked towards the MP value by converting the current value into voltage.66 HalamanSkripsi Sarjan
Rancang Bangun Alat Pendeteksi Polusi Udara Menggunakan SD Card
No full textAir pollution is an important problem that can threaten human life.Many human activities that cause air pollution. An air pollution detector has been made using an SD card. The sensors used in the design of this tool are the MQ-135 sensor as a detector which is controlled by Arduino Nano and is equipped with a display of measurement result on the LCD and the result data. Measurement are stored on SD card or memory card . The sample used in this tool is using matches and burne paper. The test result of this tool are quite satisfactory where the average percent of the measurement result are air pollution as much as 173,6 , air consentration as much as 17,2ppm, CO smoke as much as 49,6, and LPG gas as much as 2,4 .92 HalamanKertas Karya Diplom
Identifikasi Sinyal Suara Menggunakan Metode Fast Fourier Transform (FFT) Berbasis Matlab
No full textThe human voice is a very unique type of wave. Each human also has a different wave type. In general, the greater the basic frequency of sound waves, the higher the sound is heard. The author uses a microphone in voice recognition system that serves to record sounds and laptops along with Matlab software for processing. The system will find the maximum value for each sound sample on the FFT signal, then create a sound classification so that it can later be identified. The maximum value will be analyzed to determine the sound played. This maximum value is used as the determinant of the voice text with the result shown in the plot of the FFT signal result, the maximum value index and the recognized voice text. The recognition program has been successfully created and can display FFT signal plot, maximum value index and speech recognition text. In this program, the best introduction parameter is 96% in real time testing.Suara manusia merupakan satu jenis gelombang yang sangat unik. Tiap manusia juga memiliki jenis gelombang yang berbeda. Pada umumnya semakin besar frekuensi dasar gelombang bunyi, maka semakin tinggi suara yang terdengar. Penulis menggunakan microphone dalam sistem pengenalan suara yang berfungsi untuk merekam suara dan Laptop beserta software Matlab untuk pengolahannya. Sistem ini akan mencari nilai maksimum untuk setiap sampel suara pada sinyal FFT, kemudian membuat suatu klasifikasi suara agar nantinya dapat teridentifikasi. Nilai maksimum tersebut akan dianalisis untuk mengetahui suara yang dimainkan. Nilai maksimum ini digunakan sebagai penentu teks suaranya dengan hasil yang ditampilkan berupa plot hasil sinyal FFT, indeks nilai maksimum dan teks suara yang dikenali. Program pengenalan sudah berhasil dibuat dan dapat menampilkan plot sinyal FFT, indeks nilai maksimum dan teks hasil pengenalan suara . Pada program ini, parameter pengenalan terbaik adalah 96 % dalam pengujian secara real time.Skripsi Sarjan
Design and Development of an Automatic Turn Signal and Hazard Light Control System For Motorcycles Using The MPU6050 Gyroscope Sensor and Inductive Proximity Sensor
No full textTraffic accidents in Indonesia remained a serious problem, particularly those involving motorcycles as the primary mode of transportation. One of the main causes was riders’ negligence in properly using turn signals when changing lanes or making turns. On motorcycles, turn signals were generally deactivated manually by the rider, which often led to them being unintentionally left on. To address this problem, this study aimed to develop an automatic turn signal and hazard light system that operated based on vehicle tilt and wheel rotation speed. The system was designed using the MPU6050 gyroscope sensor to detect the tilt angle of the motorcycle and an inductive proximity sensor to measure wheel speed in RPM. An Arduino Nano microcontroller was employed as the control unit to process sensor data and manage the automatic activation of both turn signals and hazard lights. The system logic was designed so that the right or left turn signal activated when the wheel speed was below 300 RPM and the tilt angle exceeded 5 degrees. Meanwhile, the hazard lights were activated when the motorcycle operated at low speed without showing significant tilt <5 degrees. The experimental results showed that the system responded quickly and accurately to vehicle conditions and was able to clearly distinguish between turning and stopping situations. The system operated stably in detecting parameters and making automatic activation decisions, thereby reducing reliance on manual rider intervention. Therefore, the implementation of this system was expected to improve riding safety, reduce the risk of accidents caused by human error, and contribute to the development of sensor-based traffic safety technology.114 PagesSkripsi Sarjan
Alat Pendeteksi Kantuk pada Kendaraan Bermotor Menggunakan Pulse Sensor dan Sensor Eye Blink
Full text linkDrowsiness while driving is one of the factors that cause traffic accidents. Drowsiness can result from lack of rest hours, high hours of activity, and monotonous movements. This will affect the brain's reaction or working system, reduce the driver's level of alertness and the driver's performance can drop below the standards required by traffic. So we need an alarm or notification that can help the driver monitor drowsiness and physical condition. Therefore a warning system was created for drowsy 2-wheeled drivers. The method used is to detect the heart rate based on normal conditions and when sleepy. This tool uses a pulse sensor to detect the heartbeat with a measurement output in beats per minute (bpm) which will be displayed on the Oled LCD. The normal human heart rate is 60-100 bpm and if the driver's heart rate is <8 of the normal heart rate then the graph will be visible on the Oled. Then if the driver is sleepy it will be detected by the Eye Blink sensor and the Buzzer will sound.66 PagesKertas Karya Diplom
Sistem Kontrol dan Monitoring Lampu Rumah Otomatis Berbasis IOT Menggunakan Wemos D1 Mini
No full textTelah berhasil di rancang Sistem kontrol dan monitoring lampu rumah berbasis IoT menggunakan Wemos D1 Mini. Alat ini di rancang untuk dapat mengkontrol secara otomatis serta dapat memonitoring arus dan tegangan yang terdapat pada lampu rumah. Sensor yang digunakan untuk mengukur arus pada lampu rumah yaitu sensor ACS712 dan sensor yang digunakan untuk mengukur tegangan pada lampu rumah yaitu sensor ZMPT101B. Alat ini di rancang memakai 3 lampu LED dimana masing-masing lampu terdapat di teras rumah, ruang tamu dan dapur dengan variasi daya lampu berbeda. Pada alat ini lampu rumah dapat dikontrol melalui aplikasi Blynk menggunakan smartphone dimana di aplikasi ini pengguna dapat mematikan dan menghidupkan lampu dengan smartphone. Pada alat ini juga terdapat sistem monitoring arus dan tegangan pada lampu rumah secara online dengan aplikasi Blynk melalui smartphone dengan memanfaatkan teknologi IoT. Hasil pengujian menunjukkan bahwa alat ini dapat mengontrol 3 lampu ruangan yaitu lampu pada teras, ruang tamu dan dapur serta alat ini dapat memonitoring arus dan tegangan yang terdapat pada 3 lampu LED secara online menggunakan aplikasi Blynk melalui smartphone. Dengan demikian, alat ini dapat mengkontrol pada lampu LED pada 3 ruangan dengan baik dan memonitoring arus dan tegangan pada lampu LED yang berbasis IoT menggunakan Wemos D1 Mini.Automatic home light control and monitoring system using Wemos D1 Mini has been successfully. This tool is designed to be able to control automatically and can monitor the current and voltage contained in house lights. The sensor used to measure the current in the house lights is the ACS712 sensor and the sensor used to measure the voltage in the house lights is the ZMPT101B sensor. This tool is designed using 3 LED lights, each of which is located on the terrace, living room and kitchen with different lamp power variations. In this tool the house lights can be controlled through the Blynk application using a smartphone where in this application the user can turn off and turn on the lights with a smartphone. In this tool there is also an online current and voltage monitoring system for house lights using the Blynk application via smartphones by utilizing IOT technology. The test results show that this tool can control 3 room lights, namely lights on the terrace, living room and kitchen and this tool can monitor the current and voltage contained in 3 LED lights online using the Blynk application via a smartphone. Thus, this tool can control the LED lights in 3 rooms properly and monitor the current and voltage on LED lights that can based on IoT using the Wemos D1 Mini.71 HalamanSkripsi Sarjan
Identifikasi Sinyal Suara Menggunakan Metode Fast Fourier Transform (FFT) Berbasis Matlab
No full textThe human voice is a very unique type of wave. Each human also has a different wave type. In general, the greater the basic frequency of sound waves, the higher the sound is heard. The author uses a microphone in voice recognition system that serves to record sounds and laptops along with Matlab software for processing. The system will find the maximum value for each sound sample on the FFT signal, then create a sound classification so that it can later be identified. The maximum value will be analyzed to determine the sound played. This maximum value is used as the determinant of the voice text with the result shown in the plot of the FFT signal result, the maximum value index and the recognized voice text. The recognition program has been successfully created and can display FFT signal plot, maximum value index and speech recognition text. In this program, the best introduction parameter is 96% in real time testing.Suara manusia merupakan satu jenis gelombang yang sangat unik. Tiap manusia juga memiliki jenis gelombang yang berbeda. Pada umumnya semakin besar frekuensi dasar gelombang bunyi, maka semakin tinggi suara yang terdengar. Penulis menggunakan microphone dalam sistem pengenalan suara yang berfungsi untuk merekam suara dan Laptop beserta software Matlab untuk pengolahannya. Sistem ini akan mencari nilai maksimum untuk setiap sampel suara pada sinyal FFT, kemudian membuat suatu klasifikasi suara agar nantinya dapat teridentifikasi. Nilai maksimum tersebut akan dianalisis untuk mengetahui suara yang dimainkan. Nilai maksimum ini digunakan sebagai penentu teks suaranya dengan hasil yang ditampilkan berupa plot hasil sinyal FFT, indeks nilai maksimum dan teks suara yang dikenali. Program pengenalan sudah berhasil dibuat dan dapat menampilkan plot sinyal FFT, indeks nilai maksimum dan teks hasil pengenalan suara . Pada program ini, parameter pengenalan terbaik adalah 96 % dalam pengujian secara real time.Skripsi Sarjan
Pengaruh Program Literasi Membaca Di Sekolah Dalam Meningkatkan Minat Belajar Siswa SMP Negeri 1 Medan
No full textLiterasi sekolah merupakan salah satu program baru yang telah di terapkan
pada sistem belajar siswa, istilah literasi pada saat ini sudah banyak mulai
digunakan dalam arti literasi yang luas, seperti literasi informasi, literasi
komputer, dan literasi sains, yang keseluruhnya kompetensi ini di laksanakan
untuk meningkatkan kemampuan yang lebih dari sekedar kemampuan baca tulis.
Literasi melibatkan dasar-dasar yang lengkap tentang bahasa seperti fonologi
(melibatkan kemampuan untuk mendengar dan menginterpretasikan suara),
keterampilan ini dapat menentukan suatu tingkatan yang akan dicapai oleh
seorang individu. Menurut Elizabeth B. Hurlock (1978: 114), minat adalah
sumber motivasi yang mendorong orang untuk melakukan apa yang mereka
inginkan bila mereka bebas memilih. Sama halnya yang diungkapkan oleh
Slameto (2010: 180), minat merupakan rasa lebih suka dan rasa ketertarikan pada
suatu hal atau aktivitas, tanpa ada yang menyuruh.
Peneletian ini adalah penelitian asosiatif dimana maksud penelitiannya
adalah melihat pengaruh Program Literasi Membaca Di Sekolah Dalam
Meningkatkan Minat Belajar Di SMP Negeri 1 Medan, dimana yang menjado
populasi penelitian ini adalah semua siswa yang ada di SMP Negeri I Medan,yang
berjumlah 1210, dipersempit dengan metode slovin sehingga didapat sampel
sejumlah 92 orang, peneliti telah menyebar angket sebanyak 92 angket yang
disebar secara acak dari kelas VII,VIII dan IX.
Dari hasil penelitian terlihat bahwa program literasi membaca berpengaruh
signifikan terhadap minat belajar siswa di SMP Negeri 1 Medan, hal ini
ditunjukan dari nilai uji t yang lebih tinggi dari t tabel yaitu senilai 5,390 lebih
tinggi dari 1,985, kemudian nilai signya yg lebih rendah dari 0,05 yaitu 0,000,
kemudian di tinjau dari nilai determinasi r square nilainya sebesar 0,244, atau
sekitar 24,4% pengaruh program literasi membaca terhadap minat belajar siswa di
SMP Negeri 1 Medan. dan nilai korelasinya yang cukup tinggi yaitu bernilai
0,794, yang artinya hubunganya kua
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