Article Per Year (5 Year)
p-Index From 2021 - 2026
6.595
P-Index
This Author published in this journals
All Journal Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Electro Luceat JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Techne : Jurnal Ilmiah Elektroteknika Wahana : Tridarma Perguruan Tinggi Multitek Indonesia : Jurnal Ilmiah Jurnal Teori dan Aplikasi Fisika Jurnal Pengabdian Al-Ikhlas JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) JE-Unisla Generation Journal Journal Zetroem JAREE (Journal on Advanced Research in Electrical Engineering) Journal of Electrical Engineering and Computer (JEECOM) JASEE Journal of Application and Science on Electrical Engineering Jurnal Pendidikan dan Teknologi Indonesia Jurnal Techno Bahari JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) SinarFe7 Fuse-teknik Elektro Jurnal Elektro Kontrol (ELKON) Jurnal Informatika Polinema (JIP) Jurnal Ilmiah Sistem Informasi
Erwanto, Danang
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation

Published : 56 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 56 Documents
Search

 2   3   4   5   6 
Rancang Bangun Sistem Kontrol Kanopi Otomatis menggunakan Aplikasi Blynk Berbasis IoT Yahya, Miftahul; Salahudin, Yanu; Erwanto, Danang
Fuse-teknik Elektro Vol 5 No 2 (2025): Fuse-teknik Elektro
Publisher : Fakultas Teknik Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Frequent and unpredictable weather changes present a particular challenge for laundry businesses, especially when it comes to drying clothes during the rainy season. It is not uncommon for clothes that are almost dry to get wet again from sudden rain showers. These conditions are undoubtedly inconvenient and consume a significant amount of time and effort. To address this issue, this study designed an automatic canopy control system based on the Internet of Things (IoT). This system can quickly detect weather changes and provide users with convenience. The goal is to simplify the drying process and protect clothes from getting wet, which impacts service quality and business productivity. The system uses a Raindrop sensor to detect rainwater and an LDR sensor to measure light levels. A NodeMCU ESP8266 serves as the control centre and is connected to the internet. The microcontroller processes all sensor data and sends it to the Blynk app. This allows users to monitor drying conditions in real time via their smartphone and manually control the canopy if necessary. Test results show that the system responds well to weather changes and functions as intended. It is hoped that, with this system in place, the process of drying clothes will become more practical, efficient, and convenient so users no longer need to worry about unpredictable weather.
Analisis Pengaruh Ukuran Lantai Muatan Timbangan Terhadap Nilai Error Pada Pengujian Eksentrisitas Timbangan Elektronik Sesuai OIML R76 Geston Bakti Muntoha; Danang Erwanto; Dian Septi Nur Afifah
Jurnal Teori dan Aplikasi Fisika Vol. 12 No. 1 (2024): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v12i1.345

Abstract

The use of high-intensity non-automatic weighing instruments can cause users to overlook the load's location during weighing. However, electronic non-automatic weighing instruments maintain measurement accuracy regardless of the load's position. This study aims to analyze the effect of load receptor size on error values when testing non-automatic weighing instruments eccentricity using the OIML R-76 recommended method. Testing the eccentricity of electronic non-automatic weighing instruments with the same construction model, load cell, and indicator but different load receptor sizes can affect the non-automatic weighing instruments' error values. The largest error value on Instrument A, with a load floor size of 40x30cm, is -0.025kg at test point 4. On Instrument A, the smallest error value at test points 1, 2, and 5 is -0.005kg. On Instrument B, with a load floor size of 60x50cm, the largest error value at test points 1 and 4 is -0.005kg, respectively. At test points 2-3-5, the smallest error value on Instrument B is 0kg. The average error on Instrument A is -0.01kg, while on Instrument B it is 0kg. The size of the load receptor affects the increase in the error value of a non-automatic weighing instrument, with larger load receptor resulting in greater error values, even if the construction design of the load receptor support is the same.
Analisis Pengaruh Jumlah Load Cell Timbangan Jembatan Elektronik pada Pengujian Eksentrisitas sesuai Rekomendasi OIML R76 Faradhiba Alifiyah Safitri; Danang Erwanto; Dian Efytra Yuliana
Jurnal Teori dan Aplikasi Fisika Vol. 13 No. 01 (2025): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v13i01.477

Abstract

An electronic weighbridge are used to measure the mass of vehicles and their loads with electronic indicator. Weighbridge works using a strain gauge-based load cell connected in a wheatstone bridge configuration, where changes in resistance due to heavy forces will result in an output voltage that is sent to junction box to be displayed on indicator. Measurement accuracy is critical for weighbridge. One of the tests is eccentricity, which refers to weighbridge's ability to provide consistent measurement results even when the load is placed in different positions. This study aims to analyze the effect of number of load cells on results of eccentricity tests on electronic weighbridges based on the OIML R76 recommendation. The research was conducted on two weighbridges with identical specifications (16 m x 3 m platform, maximum capacity 60,000 kg, and readability 10 kg) but with different numbers of load cells. Weighbridge A uses 8 load cells, while Weighbridge B uses 6 load cells. The test points were determined by dividing platform into three sections, representing front, middle, and rear positions. Testing was performed using a truck as a ballast with a capacity of 21.520 kg. The results showed that Weighbridge A had an average error value of +0.33 kg, the largest error recorded at +2 kg at point 3. Meanwhile, Weighbridge B had an average error value of +3.17 kg, with the largest error recorded at -9 kg at point 3. It can be concluded that Weighbridge A provides more accurate measurement results than Weighbridge B. This is because Weighbridge A, with more load cells, achieves more even load distribution, particularly when weighing in both directions. In contrast, Weighbridge B demonstrated better accuracy for single-direction weighing but experienced greater errors when the load was tested in rolling positon, due to uneven load distribution in this condition. Keywords: electronic weighbridge, load cell, eccentricity, error.
Extraction and Classification Feature of Timbers texture with Wavelet, Color Moment, and Multi Layer Perceptron Rahayu, Putri Nur; Rakhmadi, Ardhon; Puji Putra, Anggarjuna Puncak; Erwanto, Danang Erwanto; Atmiasri, Atmiasri
WAHANA Vol 78 No 1 (2026): Wahana Tridarma Perguruan Tinggi
Publisher : LPPM Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/wahana.v78i1.11391

Abstract

The manual identification and classification of timber species are often subjective, time-consuming, and require specialized expertise. To address these limitation, an automated system is essential to simplify the identification and classification processes. This research is combined approach to timber feature extraction based on texture and color. The three methods used are: 1) The method of Wavelet for spatial texture extraction, 2) The color moment method for extraction statistical color information (mean, standard deviation, and skewness), and 3) the Multi Layer Perceptron Method, where Multi Layer Perceptron is used to classify the extraction result from Wavelet and color moment
ANALISIS PERFORMA OCR TESSERACT DAN CRNN PADA DOKUMEN SURAT JALAN SEMI-TERSTRUKTUR: ANALYSIS OF TESSERACT AND CRNN OCR PERFORMANCE ON SEMI-STRUCTURED DELIVERY DOCUMENTS Ali As'ad; Iska Yanuartanti; Danang Erwanto
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8038

Abstract

A delivery note (surat jalan) is a critical document in logistics that demands accurate data recording; however, the manual methods currently employed are often inefficient and error-prone, particularly in high-volume environments. This study aims to evaluate the performance of Tesseract-based Optical Character Recognition (OCR) and Convolutional Recurrent Neural Network (CRNN) in recognizing text on semi-structured documents. Utilizing a comparative experimental approach, this research utilizes a dataset of 200 document images comprising printed text and handwriting under various conditions. A total of 33 images were designated as test data, while the remaining images were used as training data with augmentation. The developed system encompasses image preprocessing, text recognition, and field extraction using regular expressions. Evaluation was conducted using Character Error Rate (CER), Word Error Rate (WER), and Match Error Rate (MER) metrics. The results indicate that Tesseract OCR outperforms at the character level (CER) at 42.84%, whereas OCR+CRNN demonstrates relatively better performance at the word and overall matching levels (WER and MER) at 68.24% and 51.56%, respectively. It is important to note that both values remain very high, a CER of 42.84% indicates that nearly half of all characters are still incorrectly recognized, while a WER of 68.24% means more than two-thirds of words contain errors, rendering the system not yet suitable for practical deployment. However, the performance improvement by CRNN is not yet significant, indicating limitations in the volume and variety of the training data. Furthermore, system performance is highly influenced by document characteristics, where printed text yields better results compared to limited and non-representative handwritten text. In the information extraction phase, structured fields achieve higher accuracy than complex fields, confirming that OCR output quality is the primary factor in extraction success. This study demonstrates that the selection of an OCR method must be tailored to document characteristics and underscores the importance of larger, more diverse datasets to enhance the performance of deep learning-based models.
Sistem Prediksi Posisi Kebocoran Pipa Menggunakan Metode Jaringan Saraf Tiruan Ahmad Ardiawan; Danang Erwanto; Dian Efytra Yuliana
Techno Bahari Vol. 12 No. 2 (2025): Oktober
Publisher : Politeknik Negeri Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52234/tb.v12i2.338

Abstract

Jaringan sistem pemipaan adalah bagian vital pada konstruksi transportasi fluida dan pada umumnya deteksi kebocoran pipa menggunakan parameter suara yang dihasilkan dari media pipa masih jarang diteliti. Pada dasarnya suara yang dihasilkan memiliki ciri suara yang berbeda-beda. Oleh karena itu agar mudah melakukan isolasi pencarian titik kebocoran maka dapat dilakukan secara otomatis menggunakan sistem komputer. Penelitian ini menggunakan metode Mel-Frequency Cepstral Coeffisients (MFCC) dan prediksi menggunakan algoritma Jaringan Saraf Tiruan (JST). Penelitian ini menghasilkan nilai eror terkecil sebesar 1,156 dengan 1.600 iterasi pada proses learning, setelah dilakukan pengujian menghasilkan nilai error MAE sebesar 0,482, dan akurasi sebesar 99,518%. Nilai error yang didapat sebagai hasil uji coba prediksi dengan hasil prediksi jarak menggunakan metode backpropagation terhadap data jarak sebenarnya.
Co-Authors Achmad Arif Alfin Ade Prabowo Ahmad Ardiawan Ahmad Ari Setyawan Kusuma Alhadidi, M. Baihaqi Ali As'ad Aprilia, Yoga Pebri Ardhon Rakhmadi Arisudin Arisudin Arisudin Asti Riani Putri Atika Kurniasari Atmiasri Ayssa Nurmastika Azzah Rowani, Eka Cahya AJi Saputra Deka Wahyudi Dendi Gunawan Deni Wahyu Wibowo Diah Arie Widhining K. Diah Arie Widhining Kusumastutie Dian Efytra Dian Efytra Yuliana Dian Efytra Yuliana Dian Septi Nur Afifah Dimas Dwi Jati Eka Azzah Rowani Eka Nuryanto Budi Susila Eka Rahayu Septiana Fajar Yumono Fajar Yumono Fajarudin Fajarudin Faradhiba Alifiyah Safitri Farrady Alif Fiolana Farrady Alif Fiolana Farrady Alif Fiolana Fauzi, Muhammad Iqsan Geston Bakti Muntoha Iska Yanuartanti Ismail, Alfian Danu Khafi, Agus Maulana Maulana Alfaruq, Bagoes Maulana F, Delta Mochtar Yahya Mochtar Yahya Mohammad Heri Saputra Mohammad Rangga Nur Faizin Muhammad Alwi Syahara, Muhammad Alwi Muhammad Azizul Fikri Muhammad Erfan Muhammad Iqsan Fauzi Muthrofin, Mohammad Atif Faiz Naofal, Ahfan Nur Rifa’i, Wahib Rohman Nuzulul Septiana Devi Puji Putra, Anggarjuna Puncak Putri Nur Rahayu Putri Nur Rahayu Rahayu, Putri Nur Ridhovi, Zainul Rizki Bayu Samudra Rosanti, Aulia Dewi Royb Fatkhur Rizal Ruba’i, Ahmad Salahuddin, Yanu Salahudin, Yanu Shalahuddin, Yanu Sri Arttini Dwi Prasetyawati Tiyas, Anis Wahyumulyaning Tomi Sugiarto Tri Handayani Utomo, Yudo Bismo Wahyu S., Mas Ilham Wibowo, Deni Wahyu Widhining Kusumastutie, Diah Arie Widining K., Diah Arie Yahya, Miftahul Yahya, Mochtar Yanu Shalahuddin Yudha Dicky Pradana Yudo Bismo Utomo Yudo Bismo Utomo Yudo Bismo Utomo Yudo Bismo Utomo Yudo Bismo Utomo Yudo Bismo Utomo Yuliana, Dian Efytra Yumono, Fajar