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Jurnal Mahasiswa TEUB
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SISTEM MONITORING PH DAN SUHU AIR MENGGUNAKAN APLIKASI BLYNK DI KOLAM BUDIDAYA IKAN KOI PROKLAMATOR BLITAR, JAWA TIMUR Irfan Zuhri; Hadi Suyono; n/a Nurussa’adah
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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The quality of pond water is very important for the successful cultivation of koi fish. The survival rate and growth of the fish are highly dependent on the water quality. If there are any changes in temperature or pH levels, the koi fish can become stressed and even die. The optimal temperature for the growth of koi fish is between 25°C - 30°C, while the optimal pH range is between 6.5 - 8.5. A monitoring system is used to measure the water quality of the koi fish using temperature and pH sensors, and the data is measured in real-time using the Internet of Things (IoT) to obtain good water quality and ideal temperature and pH values. With the Internet of Things (IoT), data can be sent and received quickly, taking about 0.5 seconds from the sender to the receiver, even if the distance is far as long as it is connected to the internet. This data is then sent to the Blynk server and can be displayed through the Blynk application on an Android device. If the water quality is not ideal, information will be sent to the koi fish cultivator's Android smartphone in the form of notifications on the Blynk server. Keywords: Water Quality, Koi Fish, Temperature, pH, Internet of Things (IoT) DAFTAR PUSTAKA[1] Firmansyah, Z. A. (2019). Monitoring Kualitas Air Kolam Pembenihan Ikan Koi Berbasis Internet of Things.[2] Korespondensi, Bersih, J., Tengah, K., Cibinong, K., Perikanan, D., Peternakan, D., Dwi Nugroho, B., Hardjomidjojo, H., Ma’mun Sarma, D., & Tengah, K. (2017). Strategi Pengembangan Usaha Budidaya Ikan Konsumsi Air Tawar dan Ikan Hias Air Tawar pada Kelompok Mitra Posikandu Kabupaten Bogor Business Expansion Strategies on Consumable Freshwater Fish and Decorative Fish Breeding in Kelompok Mitra Posikandu Bogor District (Vol. 12, Issue 2). http://journal.ipb.ac.id/index.php/jurnalmpi/[3] Ritonga, L. B., & Indah Sari, L. (n.d.). Pembenihan Ikan Koi (Cyprinus carpio) Secara Alami Di Mina Sumber Utama KoiFish Hatchery of Koi (Cyprinus carpio) In Mina Sumber Utama Koi. https://doi.org/10.15578/chanos.v20i2.1198 2[4] Saloh, A. Y., Aida, Y., & Zahida, F. (2005). Penambahan Tepung Cangkang Udang dalam Pakan Buatan Sebagai Penguat Warna Ikan Koi (Cyprinus carpio L.). X(1), 59–65.[5] Wantimpres. (2017, April 27). Potensi Perikanan Indonesia.
RANCANG BANGUN SISTEM PEMANTAUAN APLIKASI DAN KLASIFIKASI KONDISI MENGGUNAKAN METODE ANFIS UNTUK PASIEN STROKE RINGAN I Made Ananta Wiragunawan; n/a Nurussa’adah; Thareq Barasabha
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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Stroke is an acute clinical event of focal or global neurological disorders associated with cerebral circulation disorders. A stroke usually lasts more than 24 hours and can lead to death with no known cause. Stroke is a disease in which blood cannot flow to the brain to supply oxygen and nutrients and cannot get rid of waste products. This causes brain cells to rapidly die. The success of stroke treatment management is very dependent on time. The sooner the first aid is given, the better the clinical outcome will be. Through these problems, technology is needed that can monitor the condition of stroke patients on a regular basis. The technology needed is primarily able to monitor several risk factors for stroke, namely blood pressure, cholesterol, pulse, and blood sugar using Photoplethysmograph (PPG) sensors and provide education in reducing these risk factors. This innovation has tested the function of the tool by measuring blood pressure, cholesterol, pulse, and blood sugar levels using an innovative tool compared to the results of laboratory measurements. The results of the measurement of innovation tools with blood pressure measurement accuracy of 95,78%, total cholesterol measurement accuracy of 96,88%, and blood sugar level measurement accuracy of 96,49%. Result of the monitoring application supported by the ANFIS system, the results of the classification of user conditions were obtained with an accuracy rate of 95 % in testing five patients who had high risk factors for stroke. Keywords: Stroke, Photoplethysmograph, Monitoring Application, ANFIS, Therapy DAFTAR PUSTAKA[1] Setyopranoto, I., Bayuangga, H.F., Panggabean, A.S., Alifaningdyah, S., Lazuardi, L., Dewi, F.S.T., Malueka, R.G., 2019. Prevalence of stroke and associated risk factors in sleman district of Yogyakarta Special Region, Indonesia. Stroke Res. Treat. 2019. https://doi.org/10.1155/2019/2642458[2] Powers, W.J., Rabinstein, A.A., Ackerson, T., Adeoye, O.M., Bambakidis, N.C., Becker, K., Biller, J., Brown, M., Demaerschalk, B.M., Hoh, B., Jauch, E.C., Kidwell, C.S., LeslieMazwi, T.M., Ovbiagele, B., Scott, P.A., Sheth, K.N., Southerland, A.M., Summers, D. V., Tirschwell, D.L., 2018. 2018 Guidelines for the Early Management of Patients With Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association, Stroke. https://doi.org/10.1161/STR.0000000000000158 [3] Kemenkes RI, 2018. Hasil Riset Kesehatan Dasar Tahun 2018. Kementrian Kesehat. RI 53, 1689–1699.[4] Salvadori, E., Papi, G., Insalata, G., Rinnoci, V., Donnini, I., Martini, M., Falsini, C., Hakiki, B., Romoli, A., Barbato, C., Polcaro, P., Casamorata, F., Macchi, C., Cecchi, F., Poggesi, A., 2021. Comparison between ischemic and hemorrhagic strokes in functionaloutcome at discharge from an intensive rehabilitation hospital. Diagnostics 11. https://doi.org/10.3390/diagnostics11010038[5] Umar, U., Amin, I., Elektro-Medis, T., Kesehatan, P., & Makassar, M. (2019). Monitoring Kadar Glukosa Darah NonInvasif Menggunakan Sensor Photoacoutic. In Celebes Health Journal (Vol. 1, Issue 2). http://journal.lldikti9.id/CPHJ/indexDOI:https://doi.org/
PERANCANGAN SISTEM DETEKSI DINI SEL ABNORMAL RONGGA MULUT DENGAN METODE FLUORESCENCE VISUALIZATION DILENGKAPI STERILISASI OZONE PLASMA Mochammad Rofi Sanjaya; n/a Nurussa’adah; Thareq Barasabha
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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The prevalence of oral cancer reached 14,197 cases from 2015 to 2020 in Indonesia. On the other hand, delay in cancer treatment can be fatal. However, there are less than 5 specialist dentists in some provinces, and even zero in West Papua. Therefore, screening by Public Health Center nurse needed to reduce oral cancer mortality rate. This scientific article aims to design, create, and test an early detection system for oral cancer based on IoT-integrated fluorescence imaging that is practical, functional, and clinically innovative. The method started in literature study, system design, fabrication, operational and clinical testing, and evaluation. System’s function examination is done by measuring HPL LED temperature, object temperature, and ozone plasmatemperature. A clinical trial was conducted on six subjects with linea alba, RAS, mucocele, ameloblastoma, leukoplakia, and behcet syndrome. Functional test resulted in the system components remains in 28,4˚C, the illuminated object temperature does not over 24,8˚C within 10 minutes, thus there is no heat side effects damaging components and things, and also the ozone temperature does not over 29,5˚C within 10 minutes. Clinical tests obtained 100% true negative results in all subjects. The oral cancer early detection system has been successfully made and tested. Functional tests show that the system has good durability, and clinical tests show true negatives in normal mucosa and non-malignant lesions. Keywords: teledentistry, screening, oral cancer, fluorescence visualization, ozone plasma DAFTAR PUSTAKA[1] S. D’souza and V. Addepalli, “Preventive measures in oral cancer: An overview,” Biomed. Pharmacother., vol. 107, no. May,pp. 72–80, 2018, doi: 10.1016/j.biopha.2018.07.114.[2] Kemenkes RI, “Data Tenaga Medis yang didayagunakan di Fasilitas Pelayanan Kesehatan (Fasyankes) di Indonesia,”bppsdmk, 2020. http://bppsdmk.kemkes.go.id/info_sdmk/info/index?rumpun=101 (accessed Feb. 13, 2022).[3] T. Morikawa et al., “Countermeasure and opportunistic screening systems for oral cancer,” Oral Oncol., vol. 112, no. March2020, p. 105047, 2021, doi: 10.1016/j.oraloncology.2020.105047.[4] N. Yamamoto et al., “Detection accuracy for epithelial dysplasia using an objective autofluorescence visualization method based on the luminance ratio,” Int. J. Oral Sci., vol. 9, no. 11, pp. 1–10, 2017, doi: 10.1038/ijos.2017.37.[5] M. Mascitti et al., “An overview on current non-invasive diagnostic devices in oral oncology,” Front. Physiol., vol. 9, no. OCT,pp. 1–8, 2018, doi: 10.3389/fphys.2018.01510.[6] A. Niveditha, R. Pandiselvam, V. A. Prasath, S. K. Singh, K. Gul, and A. Kothakota, “Application of cold plasma and ozonetechnology for decontamination of Escherichia coli in foods- a review,” Food Control, vol. 130, no. June, p. 108338, 2021,doi: 10.1016/j.foodcont.2021.108338.[7] M. Cicciù et al., “Early diagnosis on oral and potentially oral malignant lesions: A systematic review on the Velscope® fluorescence method,” Dent. J., vol. 7, no. 3, 2019, doi: 10.3390/dj7030093. [8] V. Taran et al., “Portable ozone sterilization device with mechanical and ultrasonic cleaning units for dentistry,” Rev. Sci. Instrum., vol. 91, no. 8, 2020, doi: 10.1063/1.5145279.[9] Ozone Solutions, “Ozone Effects on Bacteria, Viruses and Molds,” Ozone Solutions, 2021. https://ozonesolutions.com/blog/ozoneeffects-on-pathogens/ (accessed Oct. 20, 2022).[10] H. A. Adil, M. Yuwanati, A. Singh, S. Sawant, and H. R. Umarji, “Comparative study on the efficacy of Tissue Autofluorescence (Visually Enhanced Lesion Scope) and Toluidine Blue as a screening method in oral potentially malignant and malignant lesions,” J. Med. Sci., vol. 37, no. 3, pp. 91–96, 2017, doi: 10.4103/jmedsci.jmedsci_53_16.
PERANCANGAN PARAMETER PI-DIGITAL DENGAN METODE SYMMETRICAL OPTIMUM PADA DIRECT TORQUE CONTROL MOTOR TRAKSI TIGA FASA Dharma Abiyyu Allam; Moch. Rusli; Bambang Siswojo
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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This study discusses the design of a proportional-integral (PI) controller with a three-phase traction motor as the plant to be controlled. The modulation technique to control the switching on the rectifier uses space vector pulse-width modulation (SVPWM) where the three-phase current and voltage are represented in rotating synchronous coordinates. The control strategy, namely vector control, is used to support the SVPWM modulation technique to provide optimal DC voltage output. Optimal controller design is obtained by tuning the gain parameters of the cascade of speed, flux, and torque controllers using the optimum symmetrical method. The test was carried out by simulating the MATLAB/Simulink software to show the speed stability of a three-phase traction motor. Three-phase traction motor produces an output speed of 158 rad/s, reaches a steady state condition of 0.275 seconds, there is no overshoot, Steady State error is 0.64%. Keywords: Three phase traction motor, Direct Torque Control, PI controller, symmetrical optimum. DAFTAR PUSTAKA[1] Alvi, Vania Kurnia., 2020., "Pengaturan Kecepatan Motor Induksi 3- phase dengan Metode Direct Torque Control," JURNAL INOVTEK SERI ELEKTRO, vol. II, no. 3, pp. 159-167, Desember 2020.[2] Garg, R., dll., 2014., "A Comparative Study between Field Oriented Control and Direct Torque Control of AC Traction Motor," in IEEE International Conference on Recent Advances and Innovations in Engineering, Jaipur, 2014.[3] Goolak, S., Liubarskyi, B., Sapronova, S., Tkachenko, V., Riabov, I., Glebova, M. (2021). Improving a model of the induction traction motor operation involving nonsymmetric stator windings. EasternEuropean Journal of Enterprise Technologies, 4 (8 (112)), 45– 58. doi: https://doi.org/10.15587/1729-4061.2021.236825[4] Nugroho, Septian Eko., 2021., "SISTEM PENGENDALIAN KECEPATAN MOTOR 3- PHASE MENGGUNAKAN METODE DIRECT TORQUE CONTROL (DTC)," Jurnal Teknik Elektro, vol. X, no. 1, pp. 81- 90, 2021.[5] Suda, K. R. S., dll., 2021., "PENGATURAN KECEPATAN MOTOR INDUKSI 3 FASA DENGAN MENGGUNAKAN PEMODELAN SISTEM (DTC) DIRECT TORQUE CONTROL," Jurnal Pendidikan Teknologi dan Kejuruan, vol. XVIII, no. 2, pp. 237- 248, Juli 2021.[6] I. D. Landau and A. Voda, “The ‘Symmetrische Optimum’ and the AutoCalibration of PID Controllers,” IFAC Proceedings Volumes, vol. 25, no. 14, pp. 407–412, Jul. 1992, doi: 10.1016/s1474-6670(17)50768-5.[7] Mukti, Harrij., 2014 “IMPLEMENTASI DIRECT TORQUE CONTROL DALAM PENGATURAN KECEPATAN MOTOR INDUKSI”., Jurnal ELTEK, Vol 12 No 01, April 2014 ISSN 1693-4024[8] LAZRAK, LOUBNA., etc., 2005., “DIRECT CONTROL OF THE STATOR FLUX AND TORQUE OF THE THREEPHASE ASYNCHRONOUS MOTOR USING A 2-LEVEL INVERTER WITH SINUSOIDAL PULSE WIDTH MODULATION”., Journal of Theoretical and Applied Information Technology., 30th September 2018. Vol.96. No 18[9] Zelechowski, M., Kazmierkowski, M. P., & Blaabjerg, F. (2005, June). Controller design for direct torque controlled space vectormodulated (DTC-SVM) induction motor drives. In Proceedings of the IEEE International Symposium on Industrial Electronics, 2005. ISIE 2005. (Vol. 3, pp. 951-956). IEEE.[10] Putri, Frieda Irnanda., 2014., “REKAM JEJAK KERUSAKAN TRAKSI MOTOR LOKOMOTIF UNTUK MENENTUKAN INTERVAL WAKTUPENGGANTIAN KOMPONEN BERDASARKAN KEANDALAN (RELIABILITAS)”., Jurusan Teknik Mesin, Fakultas Teknik, UniversitasNegeri Surabaya., Volume 02 Nomor 02 Tahun 2014, 53-60[11] P. Woolf, “CHEMICAL PROCESS DYNAMICS AND CONTROLS.” [Online].Available: https://LibreTexts.org
SISTEM MONITORING TINGKAT KEKERUHAN AIR PADA FILTER DAN LAJU AIR POMPA MENGGUNAKAN APLIKASI BLYNK DI PROKLAMATOR KOI BLITAR, JAWA TIMUR Dio Tri Pamungkas; Hadi Suyono; n/a Nurussa’adah
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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Water quality is important for koi fish health and is affected by the condition of the filter pond. The filter pond filters dirty water and delivers clean water to the pond so the cleanliness of the filter pond can be seen from the turbidity level of the water. The water pump is used to circulate water and it is important to perform maintenance on the water pump so that there is no decrease in performance. A monitoring system is needed using turbidity sensors and water flow sensors, and can be accessed via Android smartphones using Blynk. Each sensor is tested to test the difference value with the measuring instrument on each sensor. The turbidity sensor gets an average difference value of 2.31% and the water flow sensor gets an average difference value of 0.61%. This means that the sensor can read each parameter well. In addition, testing for the difference value of data transmission and notification on LCD and Blynk. Data transmission gets a difference value of 0% which means that the data sent by ESP32 can be displayed on LCD and Blynk and has no delay. Keywords: Water Quality, Water Turbidity Level, Water Flow, ESP32, Blynk Daftar Pustaka[1] Almumtazah, N., Azizah, N., Putri, Y. L., & Novitasari, D. C. R. (2021). Prediksi Jumlah Mahasiswa Baru Menggunakan Metode Regresi Linier Sederhana. Jurnal Ilmiah Matematika Dan Terapan, 18(1), 31–40. https://doi.org/10.22487/2540766x.2021.v18.i1.15465[2] Babiuch, M., Foltynek, P., & Smutny, P. (2019, May 1). Using the ESP32 Microcontroller for Data Processing. Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019. https://doi.org/10.1109/CarpathianCC.2019.8765944[3] Berlianti, R., & Fibriyanti. (2020). Perancangan Alat Pengontrolan Beban Listrik Satu Phasa Jarak Jauh Menggunakan Aplikasi Blynk Berbasis Arduino Mega. Sain, Energi Teknologi & Industri, 5, 17–26.[4] Febbiyana, W., Kurniawan, S., Isnen, M., & Anugrah, S. (2019). Pembuatan Alat Test dan Kalibrasi Flowmeter Solar pada Pabrik Pemanggangan Anoda PT INALUM. Jurnal Elektronika, Listrik Dan Teknologi Informasi Terapan, 2(1), 43–49. https://ojs.politeknikjambi.ac.id/elti[5] Trianggana, D. A. (2020). Peramalan Jumlah Siswa- Siswi Melalui Pendekatan Metode Regresi Linear. Jurnal Media Infotama, 16(2).[6] Yuliara, I. M. (2016). Regresi Linier Sederhana.[7] WANTIMPRES. (2017, April 27). Dewan Pertimbangan Presiden. Dipetik Mei 29, 2022, dari Potensi Perikanan Indonesia:https://wantimpres.go.id/id/potensiperikanan-indonesia/[8] Farm, A. K. (2019, Agustus 28). Perawatan Filter Kolam. DIpetik Agustus 4, 2022, dari Agro Koi Farm: https://www.agrokoifarm.com/perawatan-filter-kolam/[9] Putrawan, I. G. H., Rahardjo, P., & Agung, I. G. A. P. R. (2019). Sistem Monitoring Tingkat Kekeruhan Air dan Pemberi Pakan Otomatis pada Kolam Budidaya Ikan Koi Berbasis NodeMCU. Majalah Ilmiah Teknologi Elektro, 19(1), 1. https://doi.org/10.24843/mite.2020.v19i01.p01[10] Maharani, S. H., & Kholis, N. (2020). Studi Literatur: Pengaruh Pengunaan Sensor Gas Terhadap Presentase Nilai ErrorKarbonmonoksida (CO) dan Hidrokarbon (HC) Pada Prototipe Vehicle Gas Detector (VGD). Jurnal Teknik Elektro, 09, 569–578.
RANCANG BANGUN DC-DC FLYBACK CONVERTER DENGAN MODE CCM (CONTINUOUS CONDUCTION MODE) UNTUK APLIKASI FUEL CELL Ahmad Syafiq Kanzul Fikri; Waru Djuriatno; Panca Mudjirahardjo
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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Advances in technology and science are rapidly increasing the need for energy. In an effort to meet the increasing demand for energy, a qualified energy source is needed. The biggest source of energy today still comes from fossil fuels which must be reduced dependency to reduce global warming and prevent energy crises in the future. Therefore, a clean and renewable alternative energy source is needed which has great potential to be developed such as fuel cells. As an alternative energy, fuel cells still have problems with their low output DC voltage, so to support fuel cell performance a power electronics device is needed. The flyback topology is a relatively simple power electronics topology compared to other topologies for the low to medium power category. The advantage of the flyback topology is its ability to provide isolation between the input and load sections, with the presence of a transformer (coupled inductor) between the input and output sections. One of the operating modes of the flyback converter is the CCM (Continuous Conduction Mode) operation mode which has the advantage of having a smaller primary current value thereby reducing the conduction losses and switching losses of the flyback converter. This research was carried out by simulating and designing a flyback converter in CCM mode to increase the fuel cell voltage from 24 V to 72 V. In testing the DC-DC flyback converter close loop CCM mode using PI (Proportional Integral) control it has been able to increase the voltage from 24 V to 72 V constantly with an average power efficiency above 80%. The device also always works in CCM mode as indicated by the transformer primary current (Ip) waveform or MOSFET drain-source current (IDS) waveform which is in the shape of a trapezoid. Keywords: Fuel Cell, DC-DC Flyback Converter, Continuous Conduction Mode, Transformator, Coupled inductor, Proportional Integral, Close Loop
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.
PENGARUH PENGENDALIAN KOMUTASI HALL SENSOR TERHADAP KECEPATAN MOTOR BLDC Batara Helda Firdauzy; Waru Djuriatno; Muhammad Aswin
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
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A brushless DC motor, also known as a brushless DC motor (BLDC motor), is a type of synchronous motor. The BLDC motor used has advantages over ordinary DC motors, including not causing a brush, higher efficiency, almost no sound, long life, and other advantages. The purpose of this study was to determine the speed of the BLDC motor in steady state when the hall sensor wasdelayed and the torque load changed and to determine the settling time of the BLDC motor speed when the hall sensor was delayed and the torque load was changed. This control uses a delay that is installed on the hall sensor before entering the controller. This system is made with the simulation method on the PSIM application. Tests carried out using delay changes at values of 0 seconds, 0.002 seconds, 0.004 seconds, 0.006 seconds, 0.008 seconds and 0.01 seconds. Tests were also carried outusing changes in torque load on BLDC motors with values of 1 Nm, 2 Nm, 4 Nm, and 8 Nm. Based on the results of testing the change in delay and torque load on the BLDC motor, the delay value at the hall sensor commutation and the torque load value is inversely proportional to the BLDC motor speed and the settling time at BLDC motor speed is directly proportional to the torque load value on the BLDC motor and inversely proportional to the delay on hall sensor commutation in delay conditions 0.008 seconds and 0.01 seconds. Keywords-- BLDC Motor, hall sensor commutation control, delay, settling time. DAFTAR PUSTAKA[1] Kandiban, R., & Arulmozhiyal, R. (2012). Speed control of BLDC motor using adaptive fuzzy PID controller. In Procedia Engineering (Vol. 38, pp. 306–313). Elsevier Ltd. https://doi.org/10.1016/j.proeng.2012.06.039[2] Anugrah, R. F. (2020). Kontrol Kecepatan Motor Brushless DC Menggunakan Six Step Comutation Dengan Kontrol PID (Propotional Integral Derivative ). Jurnal Teknik Elektro Dan Komputer TRIAC, 7(2), 57–63.[3] Zhao, J., & Yangwei, Y. (2011). Brushless DC Motor Fundamentals Application Note. MPS, The Future of Analog IC Technology, (July 2011), 7–8.[4] Asuri, S. K. (2021). Modelling and Control of Sparse Converter Fed Induction Motor Drives, 58–80. Retrieved from https://www.tntech.edu/files/cesr/StudThesis/asuri/Chapter4.pdf[5] Wicaksono, A. S. (2016). Perancangan dan Implementasi Sistem Pengaturan Kecepatan Motor BLDC Menggunakan Kontroler PI Berbasiskan Neural-Fuzzy Hibrida Adaptif. Jurnal Teknik ITS, 5(2), 68–74. https://doi.org/10.12962/j23373539.v5i2.16272[6] Qudsi, O. A., Prasetyono, E., Ferdiansyah, I., Nugraha, S. D., & Purwanto, E. (2020). Soft Starting dengan Redaman Arus Starting Pada Motor BLDC, 2(September), 11.[7] Akbar, D., & Riyadi, S. (2019). Pengaturan Kecepatan Pada Motor Brushless Dc (Bldc) Menggunakan Pwm (Pulse Width Modulation), 255–262. https://doi.org/10.5614/sniko.2018.30[8] Kosanke, R. M. (2019). Performansi Sistem Pengendali Kecepatan Motor BLDC Menggunakan Logika Fuzzy Logic[9] Irawan, D., & Perdana SS, P. (2020). Kontrol Motor Brushless DC (BLDC) Berbasis Algoritma AI - PID. Jurnal Teknik Elektro Dan Komputasi (ELKOM), 2(1), 41–48. https://doi.org/10.32528/elkom.v2i1.3146 [10]Atmel. (2014). AVR1607 : Brushless DC Motor ( BLDC ) Control in Sensor, 1–18.[11]Yedamale, P. (2003). Brushless DC (BLDC) Motor Fundamentals, 1–20.[12]Brown, W. (2011). AN857 Brushless DC Motor Control Made Easy App. Note. Technology, 1–48.[13]Current, B. D., Motor, B., Software, C., & Xmc, I. (n.d.). BLDC motor control software using XMC. Retrieved from www.infineon.com
LUKS DATA ENCRYPTION FOR DEVICES USING HARDWARE ANDSOFTWAREFINGERPRINTING Wahyu Suryo Samudro; Adharul Muttaqin; Angger Abdul Razak
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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
ANALISIS EFISIENSI DAYA PEMBANGKIT LISTRIK TENAGA MIKROHIDRO UNIT A2 DESA ANDUNGBIRU KECAMATAN TIRIS KABUPATEN PROBOLINGGO Nur Laili Mufarikha; Teguh Utomo; Rini Nur Hasanah
Jurnal Mahasiswa TEUB Vol. 11 No. 3 (2023)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

Pembangkit Listrik Tenaga Mikrohirdo (PLTMH) merupakan sumber energi terbarukan berskala kecil yang menggunakan aliran air untuk menggerakan generator dan turbin. Daya keluaran yang dibangkitkan PLTMH tergantung dengan head dan debit air sungai yang mengaliri PLTMH Andungbiru. Metode penelitian ini dilakukan pengambilan data secara lansung. Penelitian ini menganalisis nilai efesiensi daya yang dibangkitkan PLTMH unit A2 di Desa Andungbiru yang dipengaruhi debit air serta memanfaatkan software HOMER. Masa jangka pakai PLTMH Andungbiru yaitu dengan menyambungkan ke sistem PLN, dengan itu penelitian juga menganalisis salah satu syarat grid connection ialah perbedaan tegangan dan frekuensi keluaran generator. Hasil penelitian ini adalah nilai efisiensi daya yang dibangkitkan PLTMH unit A2 Andungbiru hari pertama 83%, hari kedua 51%, hari ketiga 80% dan hari keempat 83%. Sedangkan nilai efisiensi daya yang dibangkitkan PLTMH dengan memanfaatkan software HOMER ialah hari pertama 84,3%, hari kedua 51,9%, hari ketiga 81,1% dan hari keempat 84,65%. Nilai efisiensi daya yang dibangkitkan PLTMH unit A2 pada hari pertama, ketiga, dan keempat menunjukkan keefisienan sedangkan pada hari kedua menunjukkan ketidakefisienan. Serta semakin besar debit air maka semakin besar daya masukan dan daya keluaran generator yang dibangkitkan. Perhitungan perbedaan toleransi tegangan melebihi ±10% batas toleransi parameter sinkronisasi dan toleransi frekuensi melebihi dari ± 0,3 karna terjadi ketidakstabilan tegangan dan frekuensi. Kata Kunci – PLTMH, Efisiensi Daya, Software HOMER, Andungbiru, Tiris, Probolinggo.

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