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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor Jurnal Mahasiswa TEUB Jurnal EECCIS Journal of Innovation and Applied Technology Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Indonesian Journal of Electrical Engineering and Computer Science Prosiding Seminar Nasional Pengabdian Kepada Masyarakat KOPEMAS
Adharul Muttaqin
Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Sistem Monitoring Suhu, Kelembaban, dan Pengendali Penyiraman Tanaman Hidroponik menggunakan Blynk Android Wahyu Adi Prayitno; Adharul Muttaqin; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 4 (2017): April 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Hydroponics is a method of farming that does not use soil as a growing medium, but only use water containing nutrients that plants need. One of the factors success of planting with this method is affected by how the owners do care for the plants. Primary the treatments are done to ensure the circulation of nutrients or watering is given a timely manner in sufficient quantities. There was a time hydroponic plant owners are not anywhere near the planting area so that is not directly taking care of the plants. In order for hydroponic plant owners will still be able to care for and monitor the environmental conditions of the plant although it is far from the planting site, the project in this paper provides an alternative solution to overcome these problems. Device made in this project combining the capabilities of arduino mega as a data acquisition system incorporating ethernet shield for data transmission through the Internet, DHT11 sensor to read the temperature and humidity, special applications android blynk as monitoring tools, and RTC for timing in realtime. Arduino Mega is also associated with ignition relay to set the sprinkler pumps or circulatory water. Based on testing conducted found that each module can work well according to its function. With the appropriate network quality testing (average delay to blynk server is 1242ms, obtained by the process of sending commands and execution watering and environmental data delivery takes about 1-2 minutes.
Perancangan Pengendali Rumah menggunakan Smartphone Android dengan Konektivitas Bluetooth Angger Dimas Bayu Sadewo; Edita Rosana Widasari; Adharul Muttaqin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 5 (2017): Mei 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Home is a place to hide and gather with family. The house also has become the basic needs of every person who is married, then have a dream home is everyone's desire. The dream house is a comfortable home to live in. In today's technological developments are very rapidly making the home function in building a dream home to increase the comfort and safety of the inhabitants of the house. In this research will be designed home controller using android smartphone with bluetooth connectivity that can control the home appliance lamp, fan and celenoid door lock with monitoring function and timer padadevice built. In this study can be done in the same way. The result of the functional testing of wireless communications can still be done in the existing space of the wall barrier and the distance of 20 meters in open space. Functional timer goes well according to the added value and how to handle it by the sensor according to the desired result.
LUKS DATA ENCRYPTION FOR DEVICES USING HARDWARE ANDSOFTWAREFINGERPRINTING Wahyu Suryo Samudro; Adharul Muttaqin; Angger Abdul Razak
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

In this post-era of Covid-19 there are many massive changes to the socio-economic happening around the world, especially when it comes with electronic or computer usage aspects. The lockdown laws and economic recession caused by the Covid-19 forces people to use their current electronic and/or computer for almost all of their lives aspects and because of that many of the personal data stored on their computers. Based on statistics that majority in 2022 still have an security ready computers, indicated by the lack of adoption or 55.6% did not upgrade the popular Computer OS Windows to Windows 11, which notoriously requires security ready equipped devices, and the cons of the lack of security specific feature on the hardware one of them is information sensitive is left unencrypted or user have to manually re-input the authentication that the user have for that information after every computer/electronic boot up. Which lead to this research of using computer identification from combination of hardware and software which creates a SHA512 hash fingerprint where it can be generated upon boot time and no need to persistently stored in an unencrypted form. As proof of concept the it is built on Linux system for easy understanding on how the system works, and tested to be successfully passed 7 out of 7 test points that is being tested. Keywords— LUKS, Fingerprinting, Decryption, Automatic Authentication, Encryption
EKSTRAKSI CIRI BERDASARKAN KARAKTERISTIK DINAMIS SINYAL MULTISENSOR MENGGUNAKAN PRINCIPAL COMPONENT ANALYSIS Muhammad Akbar; Adharul Muttaqin; Panca Mudjirahardjo
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

This research aims to perform feature extraction on the dynamic characteristics on dynamic characteristic data on multisensor data. The training data consists of aroma recordings from 6 different species of mint at the Botanical Institute of Karlsruhe Institute of Technology (KIT), Germany, recorded using 12 different sensors. The dataset consists of 28,746 data points collected over a period of 175.52 minutes. The data underwent preprocessing to address spiking issues and standardize the data. Three testing stages were conducted, which are Performance testing of Feature Extraction using raw data, Performance testing of Feature Extraction using Piecewise Linear Regression (PLR) Data, and Performance testing of a Classification Model using the k-Nearest Neighbor (k-NN) algorithm. Feature Extraction was performed using the PCA technique to obtain Principal Component (PC) values of the reduced-dimensional data. For the Feature Extraction using raw data, PC1 had a value of 96.35% and PC2 had a value of 1.84%. Meanwhile, for the Feature Extraction using 12 PLR data, PC1 had a value of 95.95% and PC2 had a value of 1.88%. And for the Feature Extraction using 24 PLR data, PC1 had a value of 95.77% and PC2 had a value of 1.75%. The evaluation testing of the Feature Extraction results employed a machine learning model with the k-NN method. The training results showed that the k-NN model using raw data before PCA Feature Extraction achieved an Accuracy of 95.67% with a computation time of 0.3 seconds, and after PCA Feature Extraction, it achieved an Accuracy of 98.7% with a computation time of 0.19 seconds. In contrast, the k-NN model with 12 PLR Pre-processing before PCA Feature Extraction obtained an Accuracy of 56.67% with a computation time of 0.049 seconds, and after PCA Feature Extraction, it achieved an Accuracy of 85.83% with a computation time of 0.041seconds. Similarly, the k-NN model with 24 PLR Pre-processing before PCA Feature Extraction obtained an Accuracy of 61.67% with a computation time of 0.071 seconds, and after PCA Feature Extraction, it achieved an Accuracy of 90.21% with a computation time of 0.063 seconds. These results indicate that PCA Feature Extraction successfully improved the Accuracy of the prediction model, even when the data dimensions were reduced. The development of this system can serve as an alternative for various data analysis and machine learning algorithms. Keywords: Multisensor, Quartz Cristal Microbalance (QCM), Principal Component Analysis (PCA)
IDENTIFIKASI JENIS GAS BERDASARKAN DATA MULTISENSOR DENGAN MENGGUNAKAN RECURRENT NEURAL NETWORK (RNN) Bagus Esa Pramudya; Adharul Muttaqin; Panca Mudjirahardjo
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

This research aims to develop a method for identifying gas types based on multisensor data using Recurrent Neural Network (RNN) in the context of Electronic Nose (E-Nose) application. The method utilizes Quartz Crystal Microbalance (QCM) sensors that respond to changes in oscillation frequency to detect gases. The data used in this study were obtained from QCM sensor measurements on six species of mint at the Botanical Institute of Karlsruhe Institute of Technology (KIT), Germany, recorded by Shalih Okur. Through the training process using RNN models with ReLU and LeakyReLU activation functions, training accuracies of 98.84% with a computation time of 326 seconds (ReLU) and 97.78% with a computation time of 267 seconds (LeakyReLU) were achieved. Furthermore, in the identification phase, the RNN model achieved accuracies of 79% with a computation time of 10 seconds (ReLU) and 85% with a computation time of 4 seconds (LeakyReLU). These findings indicate the potential of the RNN method for gas type identification based on multisensor data, with a focus on QCM sensor usage. Thus, the results of this study demonstrate the effectiveness of the RNN method in identifying gas types based on multisensor data, particularly when utilizing QCM sensors. Keywords: Multisensor, Recurrent Neural Network (RNN), Gas identification
EKSTRAKSI CIRI BERDASARKAN KARAKTERISTIK DINAMIS SINYAL MULTISENSOR MENGGUNAKAN LINEAR DISCRIMINANT ANALYSIS Reinato Teguh Santoso; Adharul Muttaqin; Panca Mudjirahardjo
Jurnal Mahasiswa TEUB Vol. 11 No. 5 (2023)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

This research was conducted to develop a feature extraction system based on the dynamic characteristics of multisensor output data. The Quartz Crystal Microbalance (QCM) sensor was utilized as one type of multisensor that responds to changes in oscillation frequency for gas detection. The data used in this study were measurements of 6 types of mint species using the QCM sensor, taken at the Botanical Institute of Karlsruhe Institute of Technology (KIT) in Germany. The data underwent preprocessing to enhance the system's efficiency, followed by feature extraction using the Linear Discriminant Analysis (LDA) method. The feature extraction testing involved various data variations, resulting in a 58.33% reduction in the number of features from 12 to 5. Subsequently, classification testing was performed using three types of classifier models: k-Nearest Neighbors (k-NN), Support Vector Machine (SVM), and Decision Tree (DT). Four data variations were used for classification, which included frequency response data before and after LDA, as well as dynamic characteristic data extracted using Piecewise Linear Regression (PLR) before and after LDA. For the k-NN classification, the accuracies obtained were 96.05%, 98.40%, 93.75%, and 95% for each of the four data variations, with computation times of 0.402 s, 0.208 s, 0.027 s, and 0.023 s, respectively. For SVM classification, the accuracies obtained were 52.25%, 94.94%, 75.21%, and 87.92% for the four data variations, with computation times of 38.93 s, 3.749 s, 0.695 s, and 0.168 s, respectively. Lastly, for DT classification, the accuracies obtained were 97.95%, 96.09%, 86.25%, and 92.08% for the four data variations, with computation times of 0.647 s, 0.236 s, 0.066 s, and 0.023 s, respectively. Keywords: Quartz Crystal Microbalance, Feature Extraction, Linear Discriminant Analysis
IDENTIFIKASI AROMA MINT BERDASARKAN FREKUENSI SINYAL SENSOR PIEZOELEKTRIK 12 CHANNEL MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN) Cahaya Trinala Kinanti; Adharul Muttaqin; Muhammad Aziz Muslim
Jurnal Mahasiswa TEUB Vol. 11 No. 5 (2023)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

This research aims to identify mint aroma based on multisensor signal frequency using CNN-1D model. The data collected by Solih Okur at Botanical Institute of Karlsruhe Institute of Technology (KIT), Germany. There are 6 types of mint aroma and the frequency signal data is taken using piezoelectric sensors with 12 types of QCM sensors using various layering materials The data that has been obtained then goes through a pre-processing stage to remove outliers and then followed by dividing the data into training data, validation data, and test data. The training process was conducted using the Keras Tensorflow framework with a CNN-1D architecture model. There are 3 stages of testing performed, testing system modeling performance by changing architecture and parameters, testing system identification performance, and testing the system using noise data. The model with the best results was obtained with accuracy up to 98% with prediction time 2s. This finding shows that scent identification technology using multisensor and CNN-1D can identify mint aroma effectively and efficiently. Keywords: Multisensor, Convolutional Neural Network (CNN), CNN-1D, Scent Identification, Signal Identification.
INTEGRATED AIR STERILIZATION SYSTEM BASED ON PLASMA NANOBUBLE OZONE TECHNOLOGY WITH INTERNET OF THINGS Shafina Rifdhayanti Zein; Waru Djuriatno; Adharul Muttaqin
Jurnal Mahasiswa TEUB Vol. 11 No. 6 (2023)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

Bacteria and viruses are rapidly spreading around the world with a significant mortality rate of 7.8 per cent. The spread and transmission of bacteria and viruses in closed environments is generally riskier than in open environments. To reduce this, technology was needed that technology that can overcome these problems through the innovation of an IoT-integrated air sterilizer to show air conditions in real time that can be accessed via a smartphone. This technology adopts 3 stages of filtration The latest filtration stages are HEPA Filter, UV-C, and ozone. ozone can destroy viruses and bacteria to cause damage to the DNA and RNA of the virus. DNA and RNA through the destruction of spike proteins and the lipid layer. One method to produce ozone uses the high voltage plasma method. Ozone administration with a concentration of 0.06 ppm-0.1 ppm can reduce viral andbacterial activity up to 3-log reduction. However, the use of ozone above 0.08 ppm can cause health problems in humans. In addition, it was found that O2 with a movement speed of 1.25 m/s with a voltage of 4.5-5 kV will produce ozone with a concentration of 0.061 ppm which is effective and safe for humans. In addition to the use of ozone, the use of UV-C light is able to break down RNA and DNA in the SARS-CoV-2 virus with a minimum energy of 5.92x1011 eV per second in a unit area of cm2. To produce this amount of photon energy, UV-C light with a wavelength of 209 nm can be obtained. Therefore, this scientific paper discusses the analysis of ozone generation with high voltage plasma and the analysis of photon energy emission in UV-C light that is effective in inactivating viruses and bacteria. Keywords: Bacteria, Viruses , High Voltage Plasma, Ozone, UV-C Light
ANALISIS PERBANDINGAN KUALITAS SINYAL KONEKTIVITAS GSM DAN LORA PADA GPS TRACKER Riyanjaya, Ahmad Fadli; Muttaqin, Adharul; Purnomowati, Endah Budi
Jurnal Mahasiswa TEUB Vol. 11 No. 6 (2023)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

The emergence of a new signal transmission protocol is a consideration in choosing the type of connectivity to be used, especially on a GPS Tracker. This study aims to develop a design of GPS Tracker testing stages using GSM and LoRa connectivity and determine the value of Packet loss in sending data using GSM and LoRa connectivity on a GPS Tracker. This research includes Research and Development research that uses experimental techniques. The results of the analysis of data communication and GPS Tracker LoRa signal reception resulted in an average packet loss value of 10%, RSSI of -116 dBm, and SNR of 0.2 dB. The analysis of data communication and GPS Tracker GSM signal reception results in an average packet loss value of 0%, RSSI of -65 dBm, and SNR of 23 dB. GSM connectivity has better quality in Non-Line of Sight (NLOS) test conditions in urban areas than LoRa connectivity. The performance and distance between the LoRa gateway transmitter and BTS with receiver (GPS Tracker) have a high influence on the quality of data communication and signal reception. The farther the transmitter is from the receiver, the worse the quality of data communication and signal reception, and vice versa. Keywords: Connectivity, GSM, LoRa, GPS Tracker
SISTEM PENGENDALIAN SUHU HOTEND PADA PEMBUAT FILAMEN PET BERBAHAN BOTOL BEKAS Taftazani, Moch. Aden; Rusli, Moch.; Muttaqin, Adharul
Jurnal Mahasiswa TEUB Vol. 12 No. 2 (2024)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

Indonesia, as the fourth most populous country in the world, faces serious challenges related to the issue of plastic waste. With a total population reaching 273.8 million in 2021, Indonesia is declared as the world's second largest contributor to plastic waste after China. Every year, approximately 3.2 million tons of plastic waste are poorly managed, with much of it ending up in the ocean. This is exacerbated by the low percentage of plastic waste recycling in Indonesia, which is less than 5%. One of the most common types of plastic waste is plastic bottles, particularly those made of Polyethylene Terephthalate (PET). It is estimated that over 580 billion PET bottles were produced and consumed worldwide in 2021. Recognizing this, plastic waste, especially PET bottles, becomes a promising recycling target. Therefore, a PET filament maker machine made from recycled bottles was designed. This research focuses on designing a temperature control system for the hotend of the filament maker machine using recycled bottles. In this study, a PID controller was used with parameter determination using the Ziegler-Nichols method, specifically the first method known as the reaction curve method. The test results indicate that the temperature control system can function effectively in maintaining the system response according to the desired setpoint values, with PID controller parameter values of Kp = 27.51, Ki = 1.06, and Kd = 178.8. The system response has a settling time of 2,350 seconds, a steady-state error of 0.2%, an overshoot of 12.74%, and a recovery time of 71 seconds when subjected to disturbances. Keywords: temperature control, filament maker, PET, PID controller, Ziegler-Nichols
Co-Authors Abadi, Dendy Satria Abraham Tesa Putra Achsanul Khabib Adhitya Bhawiyuga Adoram Wirahadi Agung Setiabudi, Agung Ahmad Firmansyah A. Ahmad Habyan Haidar Z. AKbar Rizal Wicaksono Akbar, Muhammad Danar Akbartama, Effan Akmal Hibban Syah Alam Aloysius Andhika Aryadwuputra Angga Septi Suyanto Angger Abdul Razak Angger Dimas Bayu Sadewo Araki, Kakeru Arfa'i Fahrul Khizam Aryawiratama, Nauval Asrori Arsyad Attabik Muhammad Amrillah Attabik Mukhammad Amrillah Azzurri, Dean Fachruddin Baehaqi Bagus Ari Prabowo Bagus Esa Pramudya Barlian Henryranu Prasetio Bill Jason Bill Jason Caesario Bima Irfano Cahaya Trinala Kinanti Citra Trilaksana Dahnial Syauqy Dany Primanita Kartikasari Dany Primanita Kartikasari Dany Primanita Primanita Kartikasari Dian Falah J. Dicka Anditya Febrianto Dionysius J. D. H. Santjojo Dwi Fadila Kurniawan Effan Akbartama Eka Prakarsa Mandyartha Eko Setiawan Eko Setiawan Endah Budi Purnomowati Erni Yudaningtyas Erza Pradipta Erza Pradipta, Erza Faris Aulia Ramadhan Fatchur Rizal Hidayat Faza Rosyadan Nandita Pratama Febrian Daniel Dwiputra Ferdy Hendrawan Finnadi, Stefanus Dion Finsa Ferdifiansyah Fuad Sultan Muhammad Gahara, Ahda Gembong Edhi Setyawan Gian Giovani Glanndy Parwati Putra Hadi Suyono Hamas, Muhammad Nafis Hani Khulud Hari Kurniadi Harits Al Furqon Akbar Hasdi Sasandi Ion Caesar Oktoga Iqbal Ibrahim Ramadhan Irman Idris Issa Arwani Itsna Az Zahra Itsna Az Zahra Jason Danny Setiawan Khulud, Hani Lastono Risman Lunde Ardhenta M. Gilang Ramadhan M. Julius St. Maulana, Eka Maulana, Eka Maulani Ghiyas Mochammad Hannats Hanafi Ichsan Mohammad Ilhammudin Toiyib Mudjirahardjo, Panca Muhammad Akbar Muhammad Anwar Sanusi Muhammad Aswin Muhammad Aswin Muhammad Aswin Muhammad Aziz Muslim Muhammad Azril Muttaqin Muhammad Elvir Eriansyah1 Muhammad Farhan Muhammad Fauzan Fadli Nafrizal Muhammad Gilang Ramadhan Muhammad Ilham Akbar Muhammad Khairy Mahdi Muhammad Mursyid Albanani Muhammad Nurrohman Muhram Muis Muslichin Muslichin Muslichin, n/a Musyahadah, Faiq Arsyad n/a Aditiya n/a Indradianto n/a Soeprapto Najib, Aditya Zulfa Nanang Sulistiyanto Nararya Andika Sujarwo Nathanael, Indra Nauval Aryawiratama Nisa Intan Kumalasari Nizzah Khusnunnisa Novia Alifianti Nurus Sa'adah Onny Setyawati Pambudi, Muhammad Farrel Putra Ponco Siwindarto Ponco Siwindarto Ponco Siwindarto Prastyawan, Hermanto Prihartady, Dion Purnomo, Muhammad Fauzan Edy R. Arief Setyawan Rachmadwipa Novandri Rachmania Nur Dwitiyastuti Raden Arief Setyawan Ramadhan, Faris Aulia Reinato Teguh Santoso Reyhan Rifqi Ihsan Rif'an, Mochammad Riyanjaya, Ahmad Fadli Rizky Aiman Haniffalah Harijanto Robbith Qosath Al Auhi Royyannuur Kurniawan Endrayanto Runandra, Surya Agni Wahyu Ryoichi Miyauchi Sabriansyah Rizqika Akbar Saif Masharil Huda Samuel Aji Sena Sanusi, Muhammad Anwar Saputra, Nicky Sari, Sapriesty Nainy Setiawan, Bagus Ilyas Setyawati , Onny Shafina Rifdhayanti Zein Stefanus Dion Finnadi Suyono, Hadi Syafillah, Mohammad Ardian Taftazani, Moch. Aden Titis Hayuning Widya Pramesti Tito Cahyo Prasetyo Cahyo Prasetyo Tomi Putro Utomo Tri Yoga Septianto Trilaksana, Citra Triyogo, Anggun Utaminingrum, Fitri Valentino Ode Anugrah Kristanto Wahyu Adhitiya Rachman Wahyu Adi Prayitno Wahyu Suryo Samudro Waru Djuriatno Waru Djuriatno Waru Djuriatno Widasari, Edita Rosana Wijayanto, Micko Wirawan Hidayat Yosef Moscati Kresna Chrisnadi Youssi, Owlena Renaseilla Yudha Nurfalah Yudhistira Nugrahadi Widayat Yuni Kilawati Yunita Maimunah Zainul Abidin Zainul Abidin Zainul Abidin Zainuri, Akhmad Zakiyah Amalia