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All Journal Jurnal Penelitian Fisika dan Aplikasinya (JPFA) JURNAL FISIKA Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Jurnal Fisika FLUX Jurnal Penelitian Sains Jurnal CoreIT Jurnal Agrotek Tropika Jurnal Teori dan Aplikasi Fisika Journal of Multidisciplinary Applied Natural Science Journal of Energy, Material, and Instrumentation Technology Prosiding Konferensi Nasional PKM-CSR Jurnal Nasional Teknik Elektro dan Teknologi Informasi NEAR: Jurnal Pengabdian kepada Masyarakat Jurnal Multidisiplin Sahombu Jurnal Pengabdian Fakultas Pertanian Universitas Lampung
Surtono, Arif
Jurusan Fisika, Universitas Lampung, Bandar Lampung, Indonesia, 35141
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Automatic Watering of Red Ginger Plants Based on Telegram Using ESP8266 Nodemcu Humairoh Ratu Ayu; Dwina Nurizky Syahputri; Arif Surtono; Gurum Ahmad Pauzi; Amir Supriyanto
Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Vol 20, No 2 (2023): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/flux.v20i2.15561

Abstract

The design of an automatic watering tool for telegram-based red ginger plants has been realized using nodemcu esp8266. This study aims to create an automatic plant watering system using the YL-69 sensor and monitor the water supply in the reservoir using an ultrasonic sensor that can be monitored using Telegram application. This tool is assembled with various components such as nodemcu ESP8266 as a microcontroller, YL-69 sensor to detect soil moisture, ultrasonic sensor functions as a water level detector, water pump, and 16×2 LCD. The system works when the sensor reads soil moisture in red ginger plants> 60% then the pump turns off and if <60% then the pump turns on. Based on the results of the study, the tool can run well as indicated by the average accuracy of the YL-69 sensor of 98.61% and the water pump can turn on and off according to soil moisture conditions. In addition, the Telegram application can control and monitor watering either manually with the command /Humidity to check soil moisture, /Distance to monitor the water level in the reservoir, /PumpON to turn on the pump, /PumpOFF to turn off the pump or automatically
PENGENALAN KLON UBIKAYU GENJAH SEBAGAI ALTERNATIF PANEN MUDA PADA PETANI DAN INDUSTRI TAPIOKA DI LAMPUNG Kukuh Setiawan; Ardian Ardian; Setyo Dwi Utomo; Fitri Yeli; Ahmad Syaifudin; Arif Surtono; Sungkono Sungkono; Agustiansyah Agustiansyah; Purba Sanjaya
Jurnal Pengabdian Fakultas Pertanian Universitas Lampung Vol 2, No 2 (2023): Jurnal Pengabdian Fakultas Pertanian Universitas Lampung Vol 2 No 2, September 2
Publisher : Agriculture Faculty, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpfp.v2i2.7799

Abstract

Abstrak: Lampung merupakan sentra produksi ubikayu di Indonesia dengan luas area sekitar 199.385 ha.  Luas area terbesar berada di Lampung Tengah sekitar 120 ribu ha.  Salah satu kendala utama selain harga ubikayu yang sering berfluktuasi adalah panen muda atau awal di tingkat petani dan industri tapioka.  Tujuan penulisan makalah ini adalah pengenalan klon ubikayu yang genjah sebagai solusi penen muda di tingkat petani.  Penanaman ubikayu klon genjah dengan produksi tinggi ini dilaksanakan di tiga kabupaten di Lampung, yaitu Lampung Selatan, Lampung Timur, dan Lampung Tengah Great Giant Food (GGF).  Ada 7 klon yang digunakan, yaitu Vamas, Vati, Litbang UK 2, Daun 9 (berumur genjah), dan Adira 4, UJ3, UJ5 (berumur 10-12 bulan).  Jarak tanam yang digunakan adalah 100 x 80 cm atau populasi 12.500 tanaman/ha.  Data pendukung untuk pengenalan klon ubikayu genjah adalah tinggi tanaman, bobot ubi dan kadar pati.  Saat pertumbuhan awal, yaitu 1 bulan setelah tanam (BST) terlihat tidak berbeda antara ubikayu berumur genjah dan yang berumur normal (10-12 BST).  Namun, pada saat tanaman berumur 7 BST, tinggi tanaman Vamas mencapai rata-rata 227 cm sebaliknya UJ3 mempunyai rata-rata tinggi tanaman sekitar 257 cm.  Selanjutnya, bobot ubi Vamas dan UJ3 masing-masing mencapai 36,1 ton/ha dan 25,3 ton/ha.  Dengan demikian Vamas bisa direkomendasikan sebagai klon ubikayu genjah karena mampu berproduksi tinggi pada umur 7 BST
Penerapan Jaringan Saraf Tiruan / JST (Backpropagation) untuk Prakiraan Cuaca di Bandar Udara Radin Inten II Lampung Adi Saputra; Sri Ratna Sulistiyanti; Roniyus Marjunus; Yanti Yulianti; Junaidi Junaidi; Arif Surtono
Jurnal Teori dan Aplikasi Fisika Vol 11, No 1 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i1.3164

Abstract

Prediksi cuaca diperlukan dalam perencanaan kehidupan sehari-hari, salah satunya untuk membuat keputusan. Keberhasilan dari suatu prediksi cuaca akan berdampak pada pengambilan keputusan di berbagai bidang, antara lain pada bidang pertanian dan penerbangan. Pada bidang penerbangan, prediksi cuaca penting untuk menentukan waktu, lokasi, arah gerak, ketinggian serta merencanakan pergerakan pesawat untuk memperhitungkan gangguan operasi yang dapat disebabkan jika cuaca sedang buruk dan juga untuk mempertimbangkan dalam menentukan rute penerbangan atau menentukan dalam membawa tambahan bahan bakar jika dalam suatu kasus pesawat harus kembali dikarenakan kondisi cuaca yang tidak memungkinkan. Oleh karena itu perlunya sebuah metode prediksi cuaca yang baik sehingga dapat mengurangi kerugian dan kerusakan. Parameter maksimum dalam pengembangan perancangan informasi prakiraan cuaca berbasis Jaringan Saraf Tiruan / JST (Backpropagation) dengan menambah inputan data curah hujan, suhu, kelembaban, penyinaran matahari, tekanan udara, arah angin dan kecepatan angin. Penelitian ini dilakukan di wilayah Bandar Udara Radin Inten II Lampung. Data yang digunakan dalam penelitian ini adalah berupa data harian kondisi meteorologi di wilayah Bandar Udara Radin Inten II Lampung dari Stasiun Meteorologi Radin Inten II selama 3 tahun terakhir yaitu dari tahun 2017 hingga tahun 2019. Data tersebut dibutuhkan sebagai data masukan untuk algoritma yang akan digunakan dalam penelitian. Berdasarkan pada hasil penelitian, diperoleh akurasi pelatihan terbaik sebesar 100% pada arsitektur jaringan syaraf tiruan dengan parameter fungsi pelatihan levenberg-marquardt (trainlm) dan scaled conjugate gradient (trainscg), fungsi aktivasi sigmoid biner dan sigmoid bipolar, dan jumlah neuron 20, 40, 60, 80, dan 100. Sedangkan akurasi pengujian terbaik sebesar 74.359% pada arsitektur jaringan syaraf tiruan dengan parameter fungsi pelatihan gradient descent wit momentum and adaptive learning rate (traingdx) dan fungsi aktivasi sigmoid biner (logsig) dan jumlah neuron 20 dan 80.Kata kunci: Penerapan Jaringan Saraf Tiruan, Prakiraan Cuaca, Bandar Udara Radin Inten II Lampung.Weather prediction is needed in planning daily life, one of which is to make decisions. The success of a weather prediction will have an impact on decision making in various fields, including agriculture and aviation. In the field of aviation, weather prediction is important to determine the time, location, direction of motion, altitude and plan the movement of aircraft to take into account operational disturbances that can be caused if the weather is bad and also to consider in determining flight routes or determining in carrying additional fuel if in an emergency. In the case of the aircraft having to return due to unfavorable weather conditions. Therefore the need for a good weather prediction method so as to reduce losses and damage. In this case the author tries to focus on the maximum parameters in the development of weather forecasting information design based on Artificial Neural Networks / Backpropagation by adding input data of rainfall, temperature, humidity, sunlight, air pressure, wind direction and wind speed. This research was conducted in the area of Radin Inten II Airport, Lampung. The material used in this study is in the form of daily data on meteorological conditions in the Radin Inten II Lampung Airport area from the Radin Inten II Meteorological Station for the last 3 years, from 2017 to 2019. This data is needed as input data for the algorithm that will be used in study. Based on the research results, the best training accuracy is 100% on the artificial neural network architecture with levenberg-marquardt training function parameters (trainlm) and scaled conjugate gradient (trainscg), binary sigmoid and bipolar sigmoid activation functions, and the number of neurons 20, 40, 60, 80, and 100. Meanwhile, the best test accuracy is 74,359% on the artificial neural network architecture with the training function parameters gradient descent wit momentum and adaptive learning rate (trainingdx) and binary sigmoid activation function (logsig) and the number of neurons 20 and 80. Keywords: Application of Artificial Neural Networks, Weather Forecast, Radin Inten II Airport Lampung
Rancang Bangun Alat Ukur Tingkat Manis Buah Jeruk Menggunakan Sensor Kapasitor Semi Silinder Berbasis Arduino Grace Pricilya Michiko; Arif Surtono; Humairoh Ratu Ayu; Junaidi Junaidi
Jurnal Teori dan Aplikasi Fisika Vol 12, No 1 (2024): Jurnal Teori dan Aplikasi Fisika
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v12i1.3176

Abstract

Abstract. It has been realized the design of the orange based sweet level measuring device using an arduino based semi cylinder capacitor sensor. This study was conducted by providing input to the capacitor plates using an oscillator with a variety of frequency values of 10 KHz, 100 KHz, and 1 MHz. The oscillator used is the IC XR-2206 type. The sweet level of orange fruit is measured using a pocket refractometer otago pal-α. Semi cylinder capacitor sensor testing is carried out on 16 oranges. The most optimal measurement results are obtained in a 100 KHz frequency variation because the graph of the measurement results drops linearly. The voltage range at a frequency of 100 KHz is 200 - 2000 mV, with a brix value obtained between 13.8 - 16.7%. The higher the orange voltage, the lower the Brix value contained in oranges. Brix value 13.8 - 15.6% states the sweet level of orange fruit is sour, while the Brix value 16.7% states the sweet level of orange fruit is sweet. The results of testing the tool obtained an average error value of 0,004% and a tool accuracy value of 99,6%.
Analisis Klasifikasi Sinyal EKG Berbasis Wavelet dan Jaringan Syaraf Tiruan Arif Surtono; Thomas Sri Widodo; Maesadji Tjokronagoro
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 3: Agustus 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (860.111 KB)

Abstract

ECG signals analysis at first associated to pattern recognition of the ECG signals marphology. Nonetheless the signals marphology varying not only in different patients but also in the same patient. The varying of the ECG marphology has efected difficulties in ECG analysis, particularly for a trainingless medicines. On the other hand the ECG signals contain much noises. Therefore it was require the suitable methods for ECG signals analysis. This research aim are analyzing and classifying of the ECG signals from heart condition of normal, arrhytmia, ventricular tachyarrhytmia, intracardiac atrial fibrillation dan myocard infarction based on wavelet transformation and artificial neural network backpropagation.The research stages are data preparing, pre-processing, feature extraction, processing and post-processing. The 60/50 Hz noises in ECG signals from power line interference reduced using IIR notch filter with pole-zero placement method. The baseline wander noises reduced using discrete wavelet transform of 11 level decomposition to find frequency component below 0,5 Hz as a noise source.Based on this work results obtained that average accuracy percentage of the neural network recognized all of the ECG types reached 87,424 %. Highest accuracy percentage of 95,455 % for ventricular tachyarrhytmia and lowest accuracy percentage of 70 % for arrhytmia classification.
Design of a Classroom Noise Monitoring Tool Using a KY-037 Sound Sensor Based on Wemos D1R1 Rifqah, Raden Ayu Nurfadhillah; Suciyati, Sri Wahyu; Surtono, Arif; Pauzi, Gurum Ahmad
Journal of Energy, Material, and Instrumentation Technology Vol 4 No 4 (2023): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v4i4.118

Abstract

The noise level in the room is one of the factors that can influence teaching and learning activities. Research on classroom noise levels has been done using the Wemos D1 R1-based KY-037 sound sensor. This research aims to determine the noise level in the classroom and be able to monitor the noise level in the room. Data collection was carried out by sound detection in the classrooms of SMA Negeri 13 Palembang from 07.00 – 12.00 WIB for seven days. The research results show that the system is functioning well, indicated by the situation when the noise level is less than 45 dB, and the LED lights up. When the noise level is more than or equal to 45 dB, then the yellow LED, mini DFPlayer, and speaker will light up, and when the noise level is more than or equal to 55 dB, then the red USB LED, mini DFPlayer, and speaker will light up. Data on noise levels and LED conditions received can be monitored via the web server. The system used on the web server is localhost access on a computer that can be monitored within the school environment.
Prototype of a Digital Measuring Device Based on Atmega 328P for Measuring Current, Voltage, Electrical Power, and RLC Components Putri, Risa Amelia; Supriyanto, Amir; Surtono, Arif
Journal of Energy, Material, and Instrumentation Technology Vol 5 No 2 (2024): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v5i2.157

Abstract

Research on digital measuring device prototypes has developed over the past few years. However, there are still challenges in measuring current, voltage, electrical power, and RLC component parameters accurately. This research aims to design a digital system to measure electrical quantities such as current, voltage, resistance, inductance, and capacitance using Atmega 328P. Data retrieval is done by implementing the system as a whole, namely the AC and DC electrical measurement system and the measurement of RLC components. The results showed that the system can measure and display the result of measuring current, voltage, electric power, and RLC components correctly. The accuracy percentage for the components measuring instrument on the resistor test is 99.35%, the error is 0.65%, and the precision is 99.87%. In the inductor test measurement, the percentage value of accuracy is 94.11%, the error is 5.89%, and the precision is 96.77%. In the capacitor test measurement, the accuracy percentage is 98.03%, the error is 1.97%, and the precision is 98.65%. On the DC voltage sensor, the accuracy percentage is 97.31%, error 2.69%, and precision 99.77%.
PEMANFAATAN LIMBAH KULIT SINGKONG UNTUK PRODUKSI ENERGI LISTRIK MENGGUNAKAN RANGKAIAN JOULE THIEF DENGAN TEKNOLOGI MICROBIAL FUELL CELL (PENAMBAHAN RAGI DAN ASETAT) Situmorang, Elfrina; Supriyanto, Amir; Surtono, Arif; Junaidi, Junaidi
Journal of Energy, Material, and Instrumentation Technology Vol 5 No 3 (2024): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v5i3.160

Abstract

The Cassava peel waste can be used as a substrate in the Microbial Fuel Cell (MFC) system to produce electrical energy. MFC was made of acrylic with a size of 9×9×11 cm with a dual chamber type that can accommodate a substrate volume of ±350 ml. The MFC system consists of 10 cells arranged in series with voltage and current measurements every 2 hours for 72 hours using a multimeter. The maximum power MFC produces by adding 16 ml of acetate using a joule thief amplifier circuit is 8.42 W. In contrast, the addition of 24 gr yeast produces a maximum power of 7.82 W; without any addition, it produces 7.74 W of power. The amplifier also produces pretty good power. The maximum power produced by MFC without an amplifier circuit with the addition of 24 gr yeast is 2.51 mW, while 16 acetate is 2.18 mW. Without any addition, it produces 1.91 mW of power.
LPG Safety Monitoring System Using Artificial Neural Network with Back Propagation Method Based on The Internet of Things (IoT) Abidin, Ramadhani; Supriyanto, Amir; Surtono, Arif; Suciyati, Sri Wahyu
Journal of Energy, Material, and Instrumentation Technology Vol 5 No 3 (2024): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v5i3.176

Abstract

This study aims to create an Artificial Neural Network (ANN) to determine the results of LPG gas monitoring based on gas leakage levels, smoke levels, fires, and ambient temperatures and apply Internet of Things technology in the monitoring system. Variations in the number of nodes in the hidden layer indicate that the ANN performance will be maximal, with seven nodes in the hidden layer with an accuracy value of 99.63%, a precision of 100%, and a loss function of 0.423%. The microcontroller used is NodeMCU ESP32S, with input from the MQ6 sensor to detect LPG gas leaks, an infrared sensor to detect flames, an MQ-2 sensor to detect smoke, and a DHT-22 sensor to measure the ambient temperature. The resulting system output is a monitoring display using the Blynk platform, fans and Buzzers controlling, and WhatsApp notifications. The system will turn on the fan when the detected LPG level exceeds 250 ppm.
Design and Realization of Temperature and Speed Control System of Meyer Rod Coating Based on Arduino for Silver Nanowires Thin Film Applications Junaidi, Junaidi; Irvana, Raihan; Ayu, Humairoh Ratu; Karo , Pulung Karo; Surtono, Arif; Marjunus, Roniyus; Hadi, Sutopo
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 13 No. 2 (2023)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v13n2.p95-105

Abstract

The design and implementation of an Arduino-based temperature and speed control system for Meyer rod coating have been successfully accomplished. The tool is capable of automatically regulating the temperature and speed of the plate and Meyer rod. The components utilized in manufacturing the coating tool include Arduino Uno, stepper motor, thermocouple sensor, heating plate, relay, stepper motor driver (TB6560), and thermocouple sensor supported by the MAX-6675 module. The motivation behind developing this tool stems from the inconsistency in temperature and speed during manual Meyer rod coatings, where substrate transfer to the heater is done manually. Therefore, the purpose of this tool is to make the rod's pressure and speed stable, and the substrate does not need to move. The results of this study are that the stepper motor achieved a remarkable speed accuracy of 99%, and the thermocouple sensor exhibited an accuracy of 88.43%. Further, the time required for the heater to reach 100 °C was 09.45 minutes.
Co-Authors , Agustiansyah A Agustiawan A Amanto Abdurrahman, Ahmad Faruq Abidin, Ramadhani Adi Saputra Aewaditha, Randha Kentama Agung Gumelar Agus Riyanto Agus Riyanto Agustiansyah Agustiansyah Ahmad Badrus Soleh Ahmad Saudi Samosir Ahmad Syaifudin Ahmad Syaifudin Amir Supriyanto Amir Supriyanto Amir Supriyanto Amir Supriyanto angga wahyu pratama Ardian Ardian Ardian Ardian Arta Bayti Bonita Ayu Aprilia Danu Setiawan Denny Irfan Dewi Puspitasari Diana Margarini Diana Rahma Dina Mauliyani Qoriah Dwina Nurizky Syahputri E Edison EKO YULIANTO Elisabhet Yori Vitariasni Eva Sasmita Fitri Anggraini Fitri Yeli Fitri Yelli Fitryan, Anggyta Friska Tiara Desy Grace Pricilya Michiko Gurum A P Gurum A P, Gurum A P Gurum Ahmad Pauzi Gurum Ahmad Pauzi Gurum Ahmad Pauzi Gurum Ahmad Pauzi Gurum Akhmad Pauzi Humairoh Ratu Ayu I Irsan Ilfa Yuni Arta Imam Nasiqin Inda Robbihi Mardhiya Irvana, Raihan J Junaidi Junaidi Junaidi Junaidi Junaidi Junaidi Junaidi Junaidi Junaidi Junaidi Junaidi Junaidi, J Karo , Pulung Karo Kukuh Setiawan Kukuh Setiawan Luh Ari Anjarsari M Mujiono Maesadji Tjokronagoro Maesadji Tjokronagoro Mahfudz Al-Huda Marjunus, Roniyus Muhammad Nur Muhammad Wahyudi Mutiara Amalia Syafira N Nurkholis Nabila, Zhara Nevalen Aginda Prasetyo Nida Lidya Susanti Nita Suliyani Novia Puspasari Pauzi, Gurum Ahmad Prima Aprilliana Puji Siamatun Putra, Rio Adhitya Putri, Risa Amelia Randha Kentama Aewaditha Rifqah, Raden Ayu Nurfadhillah Rizki Afriliyanti Rizki Yara Narvinda Runiyus Marjunus Sakura, Abdan Sammi Rizki Taufik Sanjaya, Purba Sari, Dwi Vaolina Setyo Dwi Utomo SITI KHOLIFAH Situmorang, Elfrina Sri Ratna Sulistiyanti Sri Wahyu Suciyati Sri Wahyu Suciyati Sri Wahyu Suciyati Sri Wahyu Suciyati Sri Wahyu Suciyati Sungkono Sungkono Sungkono Sungkono Supriatin Supriatin Supriyanto, Amir Supriyanto, Amir Supriyanto, Amir Sutopo Hadi Syafriadi Syafriadi Thomas Sri Widodo Thomas Sri Widodo Tri Sutanto W Warsito Warsito Warsito Warsito Warsito Warsito Warsito Warsito, W Wasinton Simanjuntak Yanti Yulianti Yeli, Fitri