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Jurnal Mahasiswa TEUB
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ANALISIS NILAI SETTING RELE DIFERENSIAL SEBAGAI PROTEKSI TRANSFORMATOR ADD ON BLOK 2 DI PT PJB UP MUARA TAWAR MENGGUNAKAN ETAP Muhammad Fadhli Dzil Ikram; Moch. Dhofir; Teguh Utomo
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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This research discusses about the analysis of differential relay transformer setting as a protection for Add On transformer in PT PJB UP Muara Tawar at block 2 using Etap 19.01 simulation method and mathematical calculation according to IEEE Std 242-2001. Furthermore, to test the results of the setting calculations, a short circuit current calculation that occurs in the area in the protection zone and outside the protection zone is also carried out using the ETAP 19.01 simulation software. Based on the results of mathematical calculations and software simulations, the value of the short circuit current that occurs is 74346 A for 3-phase short-circuit, 58691 A for 2-phase short-circuit, and 67607 A for 1-phase short-circuit to ground in the primary area. And in the secondary area is 1630 A for 3 phase short circuit fault, 1376 A for 2 phase short circuit fault, and 67607 A for 1 phase short circuitfault to ground. Furthermore, the calculation results for the setting current and the differential are 0.313 A or 0.3 pu, along with a slope 1 value of 45.58% and slope 2 of 91.17%. Based on these results it can be concluded that the differential relay settings on the Add On transformer meet the established standards. Keywords : Differential Relay Transformer (87T), Etap, setting analysis
ANALISIS PENGARUH SUDUT ELEVASI PANEL SURYA 50 WP TIPE MONOCRISTALLINE SILICON TERHADAP DAYA KELUARAN Elvando Putra Nugroho; Fakhriy Hario Partiansyah; Gaguk Asmungi
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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The potential for solar energy in Indonesia is very profitable if it can be utilized properly and correctly. However, in its application as a power plant, solar panels often encounter problems where the output power generated from solar panels is often less than optimal, so that it will affect the supply of power to the load. The purpose of this study was to determine the effect of theelevation angle of the solar panel on the output power of the 50 WP monocrystalline silicon type solar panel and to determine the installation of solar panels that can produce high output power. The results obtained from this study by adjusting the elevation angle of the solar panel with the HRA (Hour Angle) angle for each hour of solar irradiation can maximize the maximum output power for each hour of irradiation. In addition, another solution for installing solar panels can be done by using the HRA12 angles as an alternative angle for installing solar panels, which in this study obtained an average radiation intensity during solar irradiation hours of 18.22%. Index Terms— Elevation Angle, Output Power, Monocristalline Sillicon, Solar Panel.
SISTEM PENGONTROLAN INTENSITAS CAHAYA PADA PERANGKAT SMART GREENHOUSE UNTUK TANAMAN HIAS PURING MENGGUNAKAN FUZZY LOGIC CONTROL DENGAN METODE MAMDANI Muhammad Akbar Kamal; Muhammad Aziz Muslim; Goegoes Dwi Nusantoro
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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During the Covid-19 pandemic, the cultivation of ornamental plants became one of the activities that people liked a lot. That's because ornamental plants have a value of beauty and attractiveness, so they are usually used for decoration. However, the ways to care for ornamental plants are very diverse and have varying difficulties. The croton plant (Codiaeum Variegatum) is an ornamental plant that stands out on the leaves, the croton plant grows in 2 tropical climates and really needs sunlight. The benefits of the croton plant apart from being an ornamental plant, can also degrade the pollutants around it. With the aim of optimizing the cultivation of croton plants, a device is needed that is able to properly meet all the needs of croton plants. Testing begins with designing the control system and device design. Then proceed with making a prototype device and testing according to the characteristics of croton plants. Furthermore, data collection and data analysis were carried out using fuzzy logic control with the mamdani method. The fuzzy logic control will adjust the light intensity produced by the LED grow light. The setpoint in the test is 600 lux which is the ideal lighting for croton plants. The test results show that the LDR sensor used has an error of 0.08% with a reading error tolerance of ±2%. The sensor readings on each side of the smart greenhouse device can be said to be the same. The condition of the actuator in the power range of 70%-100% is bright, 50%-60% is dim and 0%-40% is off. The results of LED grow light lighting are in accordance with the setpoint. However, the system response can be said to be quite slow to reach the setpoint. The effect of implementing croton ornamental plants on a smart greenhouse device which was carried out for 14 days (2 weeks) resulted in a change in the initial plant height of 21.8 cm to 25.3 cm with a total growth of 3.5 cm and a more striking change in leaf color (redness) and therefore the device can function according to the design that has been made. Keywords: Light Intensity, Smart Greenhouse, Fuzzy Logic Control, Fuzzy Mamdani
ANALISIS SETTING RELAI ARUS LEBIH DAN RELAI GANGGUAN TANAH PADA PENYULANG ABIMANYU 22 kV PADA GARDU INDUK CAWANG Wisam Abyadha Ibrahim; Teguh Utomo; Mahfudz Shidiq
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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At the Cawang Substation there are 3 types of transformers and has several feeders, one of which is the Abimanyu feeder. According to the data that we obtained, the feeder disturbance data in 2020 at the Abimanyu 22 kV feeder experienced 3 trip.In the Abhimanyu feeder, a good relay setting is needed to protect the electrical equipment contained in the feeder and otherelectrical equipment from short circuit fault and overload disturbances. Therefore, a protection system is needed which metthe requirements of sensitivity, reliability, selectivity, and speed is needed to localize the interference. All of these requirementsdepend on the accuracy of the protection equipment used in the distribution channel. The types of protection on distributionlines are overcurrent relays and ground fault relays. Therefore, there is a need for coordination between the supportingcomponents of the protection system, which consists of an Over Current Relay and a Ground Fault Relay on the Abimanyufeeder line. This coordination is intended so that when one of the busbars is disturbed or there is no safety guard that securesthe busbar it will result in an imbalance that will detected by the system and can result in the continuity of the power flow beingdisrupted. In the discussion of this writing, it aims to calculate the magnitude of the short circuit fault current that may occurin the feeder distribution of 22 kV, then determine the settings for the overcurrent relay and ground fault relay on the feeder,then simulate the system using the ETAP program 12.6 based on the results of calculations and data obtained in the field, andexamines the results of ETAP 12.6 calculations and simulations based on the settings of the Over Current Relay and GroundFault Relay on the real condition. The results of this paper can be used as a reference in making coordination of over currentrelay protection and ground fault relay at PT. PLN (Persero) UIT JBB UPT Cawang. Keywords — Relay, Over Current Relay, Ground Fault Relay, Short Circuit, Abimanyu Feeder, ETAP 12.6.0. DAFTAR PUSTAKA[1] A. Gaffar, A. Agussalim, and D. Arisandi, “Analisis Gangguan Hubung Singkat Pada Jaringan Distribusi 20 Kv Di Gardu Induk Panakkukang,” J. Teknol. Elekterika, vol. 1, no. 2, p. 156, 2022.[2] PT. PLN (Persero) Penyaluran dan Pusat Pengatur Beban Jawa-Bali, “Pedoman dan Petunjuk Sistem Proteksi Transmisi dan Gardu Induk Jawa Bali,” PT PLN, no. September, p. 513, 2013.[3] J. Kennedy and R. Eberhart, “Particle Swarm Optimization,” Ind. Electron. Handb. - Five Vol. Set, pp. 1942–1948, 1995.[4] I. Robandi, Artificial Intellegence “Mengupas Rekayasa Kecerdasan Tiruan.” Yogyakarta: ANDI, 2019.[5] H. R. Baghaee, M. Mirsalim, G. B. Gharehpetian, and H. A. Talebi, “MOPSO/FDMT-based Pareto-optimal solution for coordination of overcurrent relays in interconnected networks and multi-DER microgrids,” IET Gener. Transm. Distrib., vol. 12, no. 12, pp. 2871–2886, 2018.[6] Perusahaan Umum Listrik Negara, “SPLN 64 : 1985,” Dep. Pertamb. dan Energi, vol. No.172/DIR, p. 64, 1985.[7] PT.PLN(Persero), “Buku Pedoman Proteksi dan Kontrol Penghantar,” Prot. dan Kontrol Penghantar, p. 7, 2014.1942–1948, 1995.
RANCANG BANGUN INTERKONEKSI RANGKAIAN BERBASIS CROSSBAR SWITCH DAN APLIKASI WEB Taqiy Asyam Listyawan; Waru Djuriatno; Raden Arief Setyawan
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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Breadboards are often used in electronics prototyping which have a construction with several IO pins that each pin has several interconnected points to IO. To connect these pins, jumper cables are used at the pin points are connected. The construction is similar to the crossbar switch. Crossbar switches have two lines, namely horizontal and vertical with a relay at each intersection.The construction can be used as a circuit interconnect programmatically through a web application. In this design, the design is divided into five parts, including: crossbar switch module design, control module, disconnect function and connect function. The result of this design is the vertical crossbar switch lines are used as IO pins while the horizontal lines are used as line like a jumper cable. BL155 is used for relay. In this test, the relay resistance between IO and the line around 0.2Ohm – 0.3Ohm. The voltage drop on the relay is not found. Application test shows that the application is able to make the steps of disconnection, connection, and changing the address on the application to the address on the device. Keywords : Breadboard, Crossbar Switch, Web Application, Electronic Prototyping, BL1555 DAFTAR PUSTAKAFaudin, A. (2017, Juli 24). Memahami dengan mudah apa itu breadboard atau project board. Diambil kembali dari Nyebarilmu.com: https://www.nyebarilmu.com/memahami-dengan-mudah-apa-itu-breadboardatau-project-board/Freeman, R. L. (2004). Telecommunication System Engineering, Fourth Edition. New Jersey: Wiley.Wijayanti, N. N. (2021, Januari 2021). Website vs Web Application : Pilih yang Mana Ya? Diambil kembali dari Niaga Hoster:https://www.niagahoster.co.id/blog/web site-vs-web-app/Switch Analog
ANALISIS KONDISI TRANSFORMATOR UTAMA PT. PLN (PERSERO) UPK TARAHAN LAMPUNG BERDASARKAN HASIL UJI DGA (DISSOLVED GAS ANALYSIS) Bagus Ramadhan; Moch. Dhofir; Tri Nurwati
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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According to SLD Sumatera data, UIP3BS has three load control sub-systems, namely UPB Southern Sumatera, UPB Central Sumatera, and UPB Northern Sumatera with a total of 202 substations and transformers totaling 402 units / 22.594 MVA. Based on these data, it shows the importance of the role of the transformer so it is very necessary to know the condition of the transformer and take appropriate maintenance action against the transformer is very necessary. Therefore, this study aims to assess the condition of the main transformer transformer in unit 4 at PT PLN (Persero) UPK Tarahan Lampung based on the results of DGA (Dissolved Gas Analysis) testing. DGA testing serves to provide information related to the condition of the transformer so that it can take appropriate maintenance actions. In this study, several processes were carried out, namely by taking data from DGA test results in the form of gas value levels of H2, CH4, CO, CO2, C2H4, C2H6, C2H2 dissolved in main transformer oil in unit 4 at PT PLN(Persero) UPK Tarahan. Then analyze the DGA test results using the TDCG method and the Duval's Triangle method. Based on the results of the analysis using the TDCG and Duval Triangle methods, the condition of the main transformer at unit 4 PT. PLN(Persero) UPK Tarahan Lampung in normal conditions. This is also supported by the TDCG value which is well below 720 ppm. Therefore, this condition is still within the permissible limits for the main transformer unit 4 of PT PLN (Persero) UPK to operatenormally. Keyword: DGA, Duval’s Triangle, fault gas, TDCG, transformer DAFTAR PUSTAKA[1] Demmassabu, A. R., L. S. Patras., dan F. Lisi. (2014). Analisa Kegagalan Transformator Daya Berdasarkan Hasil Uji DGA dengan Metode TDCG, Key Gas, Roger’s Ratio, Duval’s Triangle pada Gardu Induk. J. Teknik Elektro dan Komputer. 3(4) 1─10.[2] Faishal, M. A. R., Karnoto., dan T. Sukmadi. (2011). Analisis Indikasi Kegagalan Transformator dengan Metode Dissolved Gas Analysis. J. Transmisi. 3(13). 1─10.[3] IEC 60599. (2015). Mineral oilimpregnated electrical equipment in service: Guide to the interpretation of dissolved and free gases analysis. Geneva: IEC.[4] IEEE C57.104. (2019). International Standard – Guide for the Interpretation of Gases Generated in Mineral OilImmersed Transformers. IEEE - 2019. Piscataway: IEEE.[5] Kelman TRANSFIX Multiple Gas Transformer DGA. https://www.gegridsolutions.com/md/catalog/transfix.htm. (diakses 10 Oktober 2022).[6] Kementrian Energi dan Sumber Daya Mineral (ESDM). https://www.esdm.go.id/en/beritaunit/directorate-general-ofelectricity/kuartal-iii-2021-konsumsi-listrik-per-kapitameningkat-capai-1109-kwh. (diakses 12 September 2022).[7] Naibaho, N. (2017). Analisis Kegagalan Transformator Berdasarkan Hasil Pengujian DGA. J. SINERGI. 98─106.[8] PT. PLN (Persero), 2014. Buku Pedoman Pemeliharaan Transformator Daya. Jakarta: PT PLN (Persero).[9] PT. PLN (Persero). Singgle Line Diagram UIP3BS 2021. (diakses 15 Oktober 2022).[10] Yudhapraja, S., dan A.S. Prayogi. (2020). Analisa Gejala Kerusakan Transformator Berdasarkan Dissolved Gas AnalysisPembangkit PLTA Way Besai. J. NCIET. 1(1): 13─23.[11] Zope, N., Ali, S. I., Padnamaban, S., Bhaskar, M. S., dan Popa, L. M. (2018). Analysis of 132kV/33kV 15MVA Power TransformerDissolved Gas Using Transport-X Kelman Kit Through Duval’s Triangel and Roger’s Ratio Prediction. 2018 IEEE International Conference on Industrial Technology (ICIT). 1160-1164.
RANCANG BANGUN FUNCTION GENERATOR BERBASIS ARDUINO DENGAN FUNGSI PERIODIK SEBAGAI MASUKAN Muhammad Setyo Hadi Juwono; Ponco Siwindarto; Zainul Abidin
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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Function generator is one of the most important and versatile electronic test equipment. Some of its users and uses are research and development, educational institutions, electrical and electronic equipment repair businesses, stimulus/response testing, frequency response characterization, incircuit signal injection, and hobbyist electronics. The waveforms that can be generated by the function generator include Sine waves, Square waves, Sawtooth waves and Triangle waves. The traditional analog function generators are gradually being replaced by digital function generators. However, the existence of function generators in the market has many problems such as high cost, large size, use of complicated methods, troublesome settings, unfriendly interface and so on. Referring to the above problems, an Arduino-based function generator was designed with adjustable input amplitude and frequency. This study aims to offer a function generator option with easy settings for users from electronics hobbyists in designing and testing electronic devices that are currently under development. The use of Arduino in this tool which is the most commonly used Development Board on the market and has a large user community is intended so that users can more easily access this tool and also aims to make it easier to manage the use of this tool. Based on the test results, the Arduino Due's DAC output has an average error of 0.647% with an accuracy of 99.353%. Testing the signal conditioning circuit has an average error of 0.218% with an accuracy of 99.782%. Testing the entire system has an average Vpp error of 0.340% with an accuracy of 99.660% and an average frequency error of 0.054% with an accuracy of 99.946%. Keywords: Function Generator, DAC, Op-Amp
VEHICLE DETECTION AND COUNTING BERBASIS OTOMATIS MENGGUNAKAN YOLO Juan Mora Michael Marbun; Panca Mudjirahardjo; n/a Soeprapto
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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Vehicle counting is considered as one of the most important applications in traffic control and management, for detection and counting of vehicles must be carried out. Efficient real time vehicle counting can improve control in traffic management by aiming to efficiently collect real time traffic information. In vehicle detection and counting system, vehicle detection and counting is very important for traffic flow in monitoring, planning and control. Traffic flow is monitored using a computer vision paradigm, where images or sequences of images provide improvements to the road view that are used to detect vehicles, monitor and count the number of vehicles in traffic flow. The system works by capturing video streams such as vehicles in the monitored area to compute information and transferring compressed video streams to provide a video based solution which is mainly implemented in OpenCV by Python Programming and using You Only Look Once (YOLO) is an approach for real-time object detection based on a Convolutional Neural Network. Keywords: Vehicle Detection and Counting, Open-Cv, Phyton, Yolo DAFTAR PUSTAKA[1] Undang-Undang No 22 Tahun 2009 Tentang Lalu Lintas Dan Angkutan Jalan.[2] Yustianingsih, H. & Istianah. (2013). Survei Kepadatan Arus Lalu Lintas Di Persimpangan Penceng Jalan Ra. Rukmini, Kecapi Kebupaten Jepara. Reviews In Civil Engineering. Jepara: Universitas Islam Nahdlatul Ulama.[3] TRIBUNJOGJA. (2020). Masih Menghitung Kendaraan Secara Manual, Dishub DIY Butuh Alat yang Lebih Canggih Masih Menghitung Kendaraan Secara Manual, Dishub DIY Butuh Alat yang Lebih Canggih (jogjaprov.go.id). (diakses 21 Oktober 2022).[4] Pamudi. (2018). Penerapan Sistem Dinamik Dalam Sistem Transportasi Cerdas Untuk Mengurangi Kemacetan, Polusi DanMeningkatkan Keselamatan Berlalu Lintas (Study Kasus Dinas Perhubungan Kota Surabaya). Surabaya: Institut Teknologi Sepuluh Nopember Surabaya[5] Yostisa, R. (2021). Penerapan Sistem Transportasi Cerdas Di Ibu Kota Negara Baru https://baketrans.dephub.go.id/berita/penerapan-sistem-transportasi-cerdas-di-ibukota-negarabaru~Intelligent%20Transport%20 System%20atau%20sistem,transportasi%2C%20kendaraan%20dan%20pengguna%20jalan. (diakses 21 Oktober 2022)[6] Najm, M. & Ali, Y. H. (2020). Automatic Vehicles Detection, Classification and Counting Techniques / Survey. Department of Computer Science. Iraq: University of Technology, Baghdad[7] Redmon, J., Divvala, S., Girshick, R. & Farhadi, A. (2016). You only look once: Unified, realtime object Detection. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. https://doi.org/10.110 9/CVPR.2016.91. (diakses 26 Oktober 2022)[8] Amwin, A. (2021). Deteksi dan Klasifikasi Kendaraan Berbasis Algoritma You Only Look Once (YOLO) Program Studi Informatika. Yogyakarta: Program Sarjana Fakultas Teknologi Industri Universitas Islam Indonesia
IMPLEMENTASI LOGIKA FUZZY MAMDANI PADA PENGENDALIAN NUTRISI TANAMAN HIDROPONIK Adita Aulia A. Rachman; Fakhriy Hario Partiansyah; Gaguk Asmungi
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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The increasing demand for vegetables as a consumption commodity and the decreasing availability of land for conventional cultivation have led to hydroponic cultivation as one of the solutions. Unlike soil-based farming, hydroponics uses water as the medium for growing. However, the nutrient levels of hydroponic plants must be maintained within a certain range. Nutrient deficiencies can cause leaves to wilt and curl, while excess nutrients can cause leaves to turn dark green, indicating poor plant health. Thus, the purpose of this research is to develop an automatic nutrient controller that operates according to a setpoint to ensure that hydroponic plants receive the appropriate nutrients. In this study, Mamdani fuzzy logic control is used because of its simple structure, and its linguistic methods can be analyzed mathematically, making it easy to understand. Fuzzy logic control converts crisp input values into fuzzy values using membership functions, then applies the rules that have been created based on implication, followed by rule composition, and finally defuzzification to convert the fuzzy values into crisp output values. Index Terms— Hydroponics, Mamdani Fuzzy Logic Control, Membership Function DAFTAR PUSTAKA[1] Badan Pusat Statistik. 2020. Produksi Tanaman Sayuran 2017-2020. Statistik Telekomunikasi Indonesia. Jakarta.[2] Hudoro. 2003. Keuntungan Budidaya Hidroponik. Rineka Cipta: Jakarta.[3] Mashumah, Siti, dkk. 2018. Nutrient Film Technique based Hydroponic System Using Fuzzy Logic Control. International Seminar on Intelligent Technology and Its Applications (ISITIA). Institut Teknologi Sepuluh Nopember.[4] Triwidyastuti, Y., Puspasari, I., & Harianto, H. 2018. Comparison between PID and Fuzzy Controller to Hydroponi Temperature. International Conference on Information Technology Applications and Systems (ICITAS).[5] Safura, S. A. El, dkk. 2018. Rancang Bangun Sistem Kontrol Logika Fuzzy Pada Pengaturan Nutrient Film Technique. e-Proceeding of Engineering, 5(1), 959-966.
IMPLEMENTASI ALGORITMA KONTROL PROPORTIONAL INTEGRAL (PI) DC-DC FLYBACK CONVERTER MENGGUNAKAN ARDUINO NANO UNTUK FUEL CELL Alkafi Dimitri Sukmana; Waru Djuriatno; Panca Mudjirahardjo
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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Energy plays a very important role in human life. Every year, the demand for energy needs continues to increase and the majority of energy generation uses fossil fuels. So an environmentally friendly energy source is needed. One of the environmentally friendly energy sources is fuel cells. Themain problem with fuel cells is that the output voltage is unstable and changes depending on the pressure, temperature, and use of the fuel cell's composition. So one of the electronic equipment that can increase and stabilize the output voltage in the fuel cell is needed, namely the Dc-Dc flyback converter using PI (Proportional Integral) Control. The use of a flyback converter with a designed PI control has a role to set the PWM on the flyback converter switch. In this study, the Implementation of the PI Control Algorithm on the Dc-Dc flyback converter used voltage feedback. The purpose of this study is to design and analyze the performance characteristics of the PI controller in stabilizing the output voltage of the flyback converter even though there are changes in load and input voltage. In this study, there were two tests on the design results, namely testing the response of the flyback converter on the open loop and the close loop which was given PI control with the direct synthesis method. The results showed that the flyback converter has been successfully created and is able to produce an output voltage of 2-3x from an input voltage of 24Vdc. The converter is capable of producing a voltage of 63.6 Vdc with a duty cycle of 50% with an efficiency of 83.57%. From the close loop test, there will be variations in input voltage and load, the flyback converter output voltage can be kept constant at 72 volts with steady state error and relatively small settling time values. Sothe performance of the PI controller with Dc-Dc flyback converter in regulating the dc-dc output voltage of the flyback conveterter can respond to changes in input voltage, load, and setpoint stably and effectively. DAFTAR PUSTAKA[1] International Energy Agency (IEA), “International Energy Agency (IEA)- Report,” 2018.[2] Idham F, Halimi S, dan Latifah S. 2009. Alternatif Baru Sumber Pembangkit Listrik dengan Menggunakan Sedimen Laut Tropika Melalui Teknologi Microbial Fuel Cell. Teknologi Hasil Perikanan Institut Pertanian Bogor.[3] I. A. Safitri dkk., “UJI KINERJA SMART GRID FUEL CELL TIPE PROTON EXCHANGE MEMBRANE (PEM) DENGAN PENAMBAHANHIDROGEN,” 2016.[4] S. K. Rajasekaran, G. Uma, and K. Vijayakumar, "Design of Flyback Converter with PI Controller for Power Factor Correction,"International Journal of Engineering and Technology, vol. 8, no. 3, pp. 1216-1223, 2016.[5] Erni, Y. (2019). Sistem Kontrol. Bandung: Informatika.[6] Erni, Y. (2021). Sistem Kontrol Lanjut. Bandung: Informatika.[7] Ogata, K. (2010). Modern Control Engineering. New Jersey: Prentice Hall.

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