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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Mahasiswa TEUB Jurnal Produksi Tanaman Jurnal EECCIS Journal of Environmental Engineering and Sustainable Technology Jurnal Otomasi Kontrol dan Instrumentasi Berdikari: Jurnal Pengabdian Masyarakat Indonesia Jurnal Jatiswara
Zainuri, Akhmad
Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering

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KLASIFIKASI ALZHEIMER PADA CITRA MRI OTAK DENGAN CONVOLUTIONAL NEURAL NETWORK Muhammad Rafi’ Zaidan Maajid; Panca Mudjirahardjo; Akhmad Zainuri
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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In deep learning, Convolutional Neural Network (CNN) is an algorithm from Artificial Neural Network (ANN) which is generally used to analyze visual images. This algorithm can automatically extract important features from each image without human assistance, besides that the CNN algorithm is also more efficient than other neural network methods, especially in memory and complexity. In training, the algorithm will be given training data in the form of images that have been labeled so that the algorithm will be able to recognize the important characteristics of each of the labeled images. After the training stage, the trained algorithm will be given data validation in the form of an unlabeled image to be analyzed and classified. The algorithm will analyze the training and validation data for the specified number of epochs and provide information in the form of the level of accuracy of each epoch that is performed. Some that affect the level of accuracy include the type of optimizer, the pixel size of the input image, and the number of epochs. In this study, the CNN algorithm was used with a layer sequence made personally by the author. The research was conducted in a cloud-based Jupyter notebook environment called Google Colab. The dataset used in this study is the Alzheimer's MRI Preprocessed Dataset which can be accessed by the public on the Kaggle website. The dataset consists of 6400 brain MRI scan images which are divided into four classes, namely: Non Demented, Very Mild Demented, Mild Demented, and Moderate Demented. As much as 20% of the dataset is used as data validation. In this study, the dataset will be analyzed by the CNN algorithm with several predetermined scenarios, then the accuracy of the training and validation data will be compared with each other to find the most optimal scenario. There are two input image pixel size scenarios to be compared, namely 128 x 128 pixels and 224 x 224 pixels. There are three types of optimizers that will be compared, namely Stochastic Gradient Descent (SGD), Adam, and RMSprop. From the research results, the most optimal type of optimizer to use with the architecture that has been made and the Alzheimer's MRI Preprocessed Dataset is the Adam optimizer. Architectural training with an input size scenario of 224 x 224 pixels, seven epochs, and using the Adam optimizer achieves the most optimal accuracy rate, namely with a training data accuracy rate of 93.01% and a data validation accuracy rate of 94.45%. Architecture training with an input size scenario of 224 x 224 pixels and using the Adam optimizer achieves the most optimal number of epochs, namely achieving an accuracy level above 90% in just five epochs. Keywords: CNN, Alzheimer's, accuracy, optimizer, optimal. Daftar Pustaka [1] Burns, A., & Iliffe, S. (2009). Alzheimer's disease. Bmj-British Medical Journal, 338. [2] Dementia. (2022, 20 September). https://www.who.int/news-room/factsheets/detail/dementia [3] Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT press. [4] Khan, S., Barve, K. H., & Kumar, M. S. (2020). Recent advancements in pathogenesis, diagnostics and treatment of Alzheimer’sdisease. Current Neuropharmacology, 18(11), 1106-1125. [5] LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. nature, 521(7553), 436-444. [6] Mendez, M. F. (2006). The accurate diagnosis of early-onset dementia. The International Journal of Psychiatry in Medicine, 36(4), 401-412. [7] Mortimer, J. A., Borenstein, A. R., Gosche, K. M., & Snowdon, D. A. (2005). Very early detection of Alzheimer neuropathology and the role of brain reserve in modifying its clinical expression. Journal of geriatric psychiatry and neurology, 18(4), 218-223. [8] National Institute for Health and Clinical Excellence. (2006, November). Dementia: Quick Reference Guide. Diambil kembali darihttps://web.archive.org/web/20080227161412/http://www.nice.org.uk/nicemedia/pdf/CG042quickrefguide.pdf. [9] Simon, R. P., Aminoff, M. J., & Greenberg, D. A. (2009). Clinical neurology. Lange Medical Books/McGraw-Hill. [10] Smith, M. A. (1998). Alzheimer disease. International review of neurobiology, 42, 1-54. [11] Valueva, M. V., Nagornov, N. N., Lyakhov, P. A., Valuev, G. V., & Chervyakov, N. I. (2020). Application of the residue number system to reduce hardware costs of the convolutional neural network implementation. Mathematics and computers in simulation, 177, 232-243.
RANCANG BANGUN SOLAR TRACKING SYSTEM BERBASIS ESP UNTUK OPTIMALISASI PENYERAPAN ENERGI MATAHARI PADA SOLAR PANEL Mochammad Yusuf Habiburrahman; n/a Nurussa’adah; Akhmad Zainuri
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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Electricity is one of the main supporting factors for human life. Most of the sources of electrical energy in Indonesia are produced from fossil energy. This is what encourages the use of alternative energy because fossil fuels are non-renewable and are produced over a very long time. One alternative energy that has considerable potential in Indonesia is Solar Power Plants (PLTS).Effectiveness is one of the main factors in the problem, this is because the angle of the sun is always changing every time making the intensity level of the sun and the angle of inclination of the sun's light on the solar panels not maximum. For now, there is still a lot of static use of solar panels so they don't produce optimum power. Therefore, we need a system that can help solar panels always get the maximum intensity of sunlight and be perpendicular to the direction of sunlight. In this research, a system design is carried out using sensors and actuators and aims to help solar panels track the position of the sun, which is called a solar tracking system. Keywords: ESP, Solar panel, Tracking system REFERENSIHuang, Y.J., Kuo, T.C., Chen, C.Y., Chang, C.H., Wu, P.C., dan Wu, T.H. (2009). The Design and Implementation of a Solar Tracking Generating Power System, Engineering Letters, 17:4. EL_17_4_06, Advance Online Publication.Priatman, J. (2000). Perspektif Arsitektur Surya Di Indonesia, Dimensi Teknik Arsitektur, Universitas Kristen Petra, Surabaya.Magga, R., Mustofa, dan Arifin, Y. (2015). Desain Hybrid Panel Surya Tipe Monocrystalline Dan Thermal Kolektor Fluida Air. Jurnal IPTEK. 19(2):67–74Hikmawan, S.R. & Suprayitno, E.A. (2018). Rancang Bangun Lampu Penerangan Jalan Umum (PJU) Menggunakan Soar Panel Berbasis Android. ELINVO (Electronics, Informatics, and Vocational Education), 9-10.
RANCANG BANGUN ESTIMATOR WAKTU OPERASIONAL DAN MANAJEMEN BEBAN LISTRIK PADA DC HOUSE Dzulfikar Ontoseno; Akhmad Zainuri; Onny Setyawati
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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Solar panels is a renewable energy generator that utilizes energy from sunlight. One example of its application is the DC House. The working system of solar panels in DC homes is not much different from solar panels in general. Batteries have an important role in the PLTS system. In the utilization of the battery there are several things that need to be considered including the discharge limit and charging limit in the form of usage cycles. If there is a discharge process or an overcharging process, it can cause damage to the battery. So we need a system that can prevent these things from happening, one of which is by implementing a feature to determine the estimated operational time of the battery and electrical load management. This study discusses the design of estimator tools and managing electrical loads in DC Houses. The design of this tool includes time estimation, current sensor, voltage sensor and microcontroller as automatic load control. The current sensor and voltage sensor data taken from the test object, namely the battery, the incoming and outgoing energy will be known. This energy will later be used to determine the estimated operational time and also used as a parameter for automatic load control. When the battery energy is below the discharge limit, the microcontroller will give an order to cut off the electrical energy flowing to the load. So with this system will prevent the use of electrical energy that is not reasonable. The results of this study found that the level of accuracy on the voltage sensor 1 was 97.97% and the accuracy level on the voltage sensor 2 was 98.91%. Then the level of accuracy on the current sensor ACS712-30A is 97.44% while on the current sensor ACS758-100A the level of accuracy is 93.32%. The results of making this operational time estimator system have an accuracy rate of 97.43% and the electrical load management is functioning properly according to the program. Keywords: battery, time estimator, sensor, electrical load management, DC House
RANCANG BANGUN AUTOMATIC TRANSFER SWITCH (ATS) DENGAN METODE SINKRONISASI Mohammad Wahyusuf Hidayatulloh; Akhmad Zainuri; Onny Setyawati
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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Combining Solar power plants electricity sources with PLN electricity sources is expected to save electricity bills because electricity needs are met by two electricity sources, can anticipate the lack of Solar power plants electricity supply, and can anticipate blackouts from PLN electricity sources. For this reason, an automatic control system is needed to switch electricity sources. The control system is the Automatic Transfer Switch (ATS). ATS is equipment that can transfer loads from PLN electricity sources to Solar power plants electricity sources or vice versa automatically if there is a disturbance in one of the electricity sources. This research designs an ATS that is equipped with synchronisation of two power sources using the zero-crossing detector method. The components used are Arduino Mega 2560 Pro Mini as a microcontroller, a voltage detector to detect the voltage of the power source, and 4 10A relays as switches for switching power sources. The result of this research is that there is no delay and wave difference in the load when there is a switch from the PLN power source to the inverter or vice versa. Another condition is that when the PLN power source goes out, the ATS will move the power source automatically to the inverter by only requiring a delay of less than 7 ms to reconnect the power source with the load. Keywords: PLN power source, Solar power plant, ATS, synchronisation.
SISTEM PREDIKSI RADIASI MATAHARI DENGAN METODE VECTOR AUTOREGRESSION (VAR) DAN LONG-SHORT TERM MEMORY (LSTM) PADA PEMBANGKIT LISTRIK TENAGA SURYA Daffa Rahmansyah Danistya; n/a Nurussa’adah; Akhmad Zainuri
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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Electricity is an energy that is highly demanded by all of mankind. In Indonesia, the consumption of electricity increases every year. Therefore, there is a need for power plants that can supply the increasing electricity demand year after year. In 2020, out of the 65,236 MW generated by power plants in Indonesia, a total of 90.75% of the electricity in Indonesia was still supplied by fossil fuel power plants. In 2021, PLN (State Electricity Company) experienced a coal supply crisis due to extreme weather conditions in coal mining areas, delays in the coal procurement process, and the impact of coal export prices. This coal supply crisis resulted in20 coal-fired power plants with a capacity of 10,850 MW being at risk of blackouts. This highlights the importance of renewable energy power plants to reduce dependence on fossil fuels. The government is also striving to achieve a 25% utilization of renewable energy by 2025, including solar power plants. In electricity production, solar power plants rely heavily on solar radiation that can be captured by solar panels. Solar radiation on the surface of solar panels is a fundamental parameter for designing a well-integrated photovoltage (PV) system, both for load requirements and determining the amount of electricity produced by the panels, as well as for accurate operational simulations. Therefore, AI is expected to be used to assist in theanalysis of solar radiation. AI has advantages in certain tasks, making it possible for computers to make accurate decisions that result in more efficient operations. AI is highly suitable for processing solar radiation data in a particular location, especially considering the years of collected solar radiation data that form big 2 data. The use of artificial intelligence and big data can analyze the data and provide faster insights compared to conventional mathematical calculations. By employing various deep learning algorithms such as vector autoregression (VAR) and long-short term memory (LSTM), the prediction of solar radiation can become more accurate, facilitating optimal analysis in the design of solar power plants for households and industries. The AIalgorithm used for solar radiation prediction in this study is a combination of VAR and LSTM algorithms. The accuracy rate achieved by the combination of VAR and LSTM algorithms in this research exceeds 90%, indicating that this combination is highly suitable for predicting future solar radiation. Keywords: solar power plant, artificial intelligence (AI), solar radiation prediction.
PENGUJIAN ARUS MENGGUNAKAN SENSOR SCT 013-000 PADA PEMBANGKIT LISTRIK TENAGA SURYA BERBASIS INTERNET OF THINGS Alfi Maghfirah; Akhmad Zainuri; Onny Setyawati
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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The Internet of Things (IoT) has grown rapidly over the past few years following the increasing demand in communication and control for various devices and gadgets. A key requirement implemented for modern IoT devices is to provide effective connectivity to ensure long-distance communication and data transfer in a wireless environment. Solar power is an energy source that will never run out. This energy can also be used as an alternative energy that is converted into electrical energy, using solar panels. The performance of a solar panel can be determined by measuring its output parameters such as voltage, current, and power. The voltagecurrent characteristics of solar panels are influenced by several factors, including the intensity of solar radiation and the operating temperature of the solar panels. This system is designed to monitor the current using the SCT 013-000 sensor using a microcontroller that communicates serially with ESP32 and implements a monitoring database to display the current on the android application, namely Solar Home System. The results of receiving data from the microcontroller to transfer data to the database by connecting the internet network. The results of the study found that current measurements using the SCT 013-000 sensor obtained a current accuracy value of 99,5%. Keywords: solar panel, monitoring, sensor, accuracy
PENINGKATAN PERFORMA DETEKTOR PENCURI IKAN DENGAN KALMAN FILTER DI KERAMBA APUNG GILI KETAPANG Mahdiyafi Rahardicahya; Akhmad Zainuri; Muhammad Fauzan Edy Purnomo
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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Gili Ketapang Island is one of the strategic areas for marine conservation in East Java, offering various main activities such as snorkeling, diving, recreational fishing, religious tourism, both traditional and modern fishing, and the development of marine cultivation through floating net cages. Floating net cages are becoming increasingly popular as a method of fish cultivation in Indonesia. However, fish theft in floating net cages remains a frequent and significant problem for fish farmers, causing substantial losses. Therefore, a fish theft detection device is needed to help reduce cases of fish theft in floating net cages. In order to develop this fish theft detection device, the use of PIR sensors and accelerometers is required. PIR sensors detect human movements entering or exiting the sensor's range, while accelerometers are used to measure the angles generated by ocean waves, which will be set as triggers for the PIR sensor. The characteristics of PIR sensors and accelerometers are crucial indetermining the accuracy and reliability of the fish theft detection device. Therefore, in-depth research on the characteristics of PIR sensors and accelerometers to be used in the fish theft detection device in floating net cages is necessary. As a result, it is expected that the detection device will work effectively and assist fish farmers in preventing fish theft in floating net cages. Keyword: Gili Ketapang Island, Fish Theft, Floating Net Cages, PIR Sensor, Accelerometer
RANCANG BANGUN IDENTIFIKASI IDENTITAS MENGGUNAKAN RFID BERBASIS ESP32 UNTUK SMART PARKING SYSTEM DI FAKULTAS TEKNIK UB Imet Mitsuin Banjar Nahor; Eka Maulana; Akhmad Zainuri
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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The parking area at Universitas Brawijaya which functions as a vehicle storage place for students and the academic community is often used by people outside UB because the condition of the portal in and out of the parking area is always open. In full parking conditions, students must enter the parking area to check the parking quota because there is no information on parking availability and this causes mobilization in the parking area to be disrupted. To overcome this problem, it is necessary to create an RFID-based smart parking monitoring system that functions to scan RFID tags as a condition for opening portals and parkingarea access. In this smart parking system, testing is carried out using a design (prototype) that is in accordance with actual parking conditions. The parking system is equipped with an RFID reader, servo actuator that functions as a portal, seven segment display as parking availability information and ultrasonic sensors as distance detection to close the portal. From the results of the study, the tools made are able to work according to the expected functions. Information on parking availability on the display is 100% in accordance with actual conditions, RFID reading positions are most effective at an angle of 90º with a maximum reading distance of 4 cm. RFID readers are capable of reading RFID tags a maximum of 2cm in the state where the RFID tag is in a wallet. The ultrasonic sensor in this study works with a maximum distance of 25 cm. Keywords: Smart parking, Prototype,RFID, ultrasonic sensor, RFID Reader,RFID tag,actuator,
RANCANG BANGUN SISTEM MONITORING KAPASITAS AKI PADA CATU DAYA PORTABEL TIM SAR Fany Ganesta; Akhmad Zainuri; Muhammad Fauzan Edy Purnomo
Jurnal Mahasiswa TEUB Vol. 11 No. 5 (2023)
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Bencana alam sering kali mengakibatkan gangguan pada sarana dan prasarana umum serta kesulitan dalam kegiatan pencarian dan perbaikan. Dalam kondisi seperti ini, catu daya portabel yang menggunakan baterai menjadi solusi yang berguna untuk menyediakan sumber energi cadangan. Namun, penggunaan baterai pada catu daya portabel juga memunculkan kekhawatiran terkait estimasi penggunaan daya yang tersedia. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan sistem pemutus catu daya dan algoritma estimasi lama penggunaan baterai untuk memastikan penggunaan daya yang optimal dan mencegah kehabisan daya secara tiba-tiba. Dalam penelitian ini, dilakukan pengujian terhadap perangkat yang mampu mengukur tegangan dan arus baterai dengan tingkat akurasi yang tinggi. Hasil pengujian menunjukkan bahwa perangkat memiliki akurasi pengukuran tegangan sebesar 99,02% dibandingkan dengan pengukuran menggunakan voltmeter. Selain itu, perangkat juga mampu mengukur nilai keluaran dari sensor arus dengan akurasi sebesar 94,2%. Sistem pemutus catu daya pada catu daya portabel telah berhasil dikembangkan untuk mengatasi penggunaan daya yang melebihi toleransi sistem. Jika daya yang digunakan melebihi 350 Watt, sistem akan memberikan tanda peringatan dan dalam jangka waktu tertentu, jika beban tidak dikurangi, sistem akan otomatis memutuskan penggunaan beban tersebut. Sistem ini juga mampu membatasi penggunaan energi pada baterai agar tidak melebihi nilai minimum yang diperbolehkan. Selain itu, estimasi penggunaan baterai juga dapat dihitung berdasarkan jumlah beban yang terhubung dengan tingkat akurasi sebesar 95,58%. Penelitian ini memberikan kontribusi penting dalam pengembangan catu daya portabel untuk situasi bencana alam. Dengan adanya sistem pemutus catu daya dan estimasi penggunaan baterai yang akurat, pengguna dapat mengoptimalkan penggunaan daya dan menghindari kehabisan daya yang tidak terduga. Hal ini akan meningkatkan efektivitas dalam upaya pertolongan pertama, khususnya dalam hal penerangan dan komunikasi, serta memberikan dampak positif terhadap psikologis para korban bencana. Kata kunci: catu daya portabel, baterai, pemutus daya, estimasi baterai, low voltage discharger
RANCANG BANGUN SISTEM PENGAMANAN IKAN DI KERAMBA APUNG LEPAS PANTAI MENGGUNAKAN SENSOR PASSIVE INFRARED Misbahuddin Yafi Ramadhani; Akhmad Zainuri; Muhammad Fauzan Edy Purnomo
Jurnal Mahasiswa TEUB Vol. 11 No. 5 (2023)
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In floating cage cultivation, security is one of the important aspects to be considered. Possible threats include fish theft, theft of cultivation equipment, predator attacks such as birds or predatory fish. The importance of security devices against fish thieves in floating cages on Gili Ketapang Island cannot be underestimated. In an effort to protect and maintain the sustainability of fish farming, the use of effective security devices is essential. By installing security devices such as suspected movement detection, notification delivery, and sirens, cage owners can increase the likelihood of detection and prevent acts of fish theft. These devices provide better surveillance and allow cage owners to respond quickly in case of suspicious behavior. To prevent fish theft in floating cages, research was conducted to design a cage security system. An effective security system can help identify and prevent theft or attacks on floating cages, improve supervision, and provide a sense of security to cage owners. In this final research project, we will analyze the performance of ESP32 Cam in sending images, analyze the performance of SIM800l module in making calls and power consumption in the security system of fish theft in floating cages. The implementation results obtained that the security system using a 17Ah LifePO4 battery was able to be active for 12 hours in standby conditions with a total power of 2.88W and in a state of detecting movement the system was able to be active for 2.5 hours with a total power of 35.96W. In this study, a security system was designed for monitoring cages remotely using ESP32 Cam using telegram bot assistance, for motion detection using the SIM800l module with PIR sensor as object detector and triggering the SIM800l module to make a call. The results of this study are that for monitoring, ten tests were carried out and had a success percentage of 90%, for motion detection it had a success rate of 80% by conducting ten tests. Keywords : security system, battery life, image processing, motion detection.
Co-Authors Abbyunda Yudha Pratama Abdul Goffar Ricky Mahendra Abdurroqib Romadhoni Sampoerna Abu Ismail Pribadi Adharul Muttaqin Adiredjo, Afifuddin Latif Ahmad Sirojuddin Aidil Fikri Islamy Alfi Maghfirah Ani Mulyasuryani As’ad Shidqy Aziz Bagas Priyo Hadi Wibowo Bagus Ari Prabowo Bastian Wicaksono Bidin Yuniar Hamzah Bustanul Arifin Daduk Setyohadi Daffa Rahmansyah Danistya Dicka Anditya Febrianto Didik R. Santoso Doni Juli Wiranata Dzulfikar Ontoseno Ebim Iskandar Muda Eka Maulana Eka Maulana Eritha, Fadila N. Erwan Rizal Kurnianto Fahri Alvin Muhammad Faizah, Lina Nur Fajar Ramadhan Fany Ganesta Hafidin Bangun Widyanto Hilmi Nursyahir I B Giri Kusuma Imet Mitsuin Banjar Nahor Jam’iyatul Hidayah Joko Purnomo Kusmaryanto, Sigit M. Aziz Muslim M. Hanif Azhary Mahdiyafi Rahardicahya Marco Gunawan Maulana, Eka Mch. Ainun Azhar Misbahuddin Yafi Ramadhani Mochamad Darius Evan Hananta Mochammad Dava Rizqie Mochammad Yusuf Habiburrahman Mohammad Ghadafi Mohammad Hamadani Mohammad Wahyusuf Hidayatulloh Mudjirahardjo, Panca Muhammad Fauzan Edy Purnomo Muhammad Hilmy Zharif Muhammad Jaka W. Muhammad Luthfi Ardyansyah Muhammad Rafi’ Zaidan Maajid Muhammad Zein n/a Aditiya n/a Guntoro n/a Indradianto n/a Nurussa’adah n/a Nurussa’adah n/a Rafiuddin n/a Retnowati n/a Soeprapto n/a Zulkarnaen Nanang Sulistiyanto Naufal Awanda Putra Nurus Sa'adah Nurussa'adah, n/a Oktiyas Muzaky Luthfi Oky Risky Dwi Santoso Onny Setiawati Onny Setyawati Ponco Siwindarto Raden Arief Setyawan Rahmat Alvian Raihan Muhammad Gibran Rico Chrisnanda P. Rif'al Ulum Zidni Rif'an, Mochammad Rifki Dia' Ulhaq Rini Hasanah Rini Nur Hasanah Rizki Novan Andiyansyah Rizki Wahyu Nugroho Ronny Ari Setiawan Rosihan Arby Harahap Rosihan Arby Harahap Rusli, Mochammad Ruyung Hikayana Suki Saputra, Dhira Kurniawan Sholeh Hadi Pramono Suyono, Hadi Ubaid Ikbar Najib Nur Fauzi Unggul Wibawa Unggul Wibawa Unggul Wibawa Wildan, Muhammad Yana Wahyuana Yayuk Istikomah Yerico Nathane Damanik Yusron Sugiarto Yusuf Kurniawan Zainma Wiraisy