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Rancang Bangun Sistem Pemantauan Kualitas Air Pada Perikanan Budidaya
The utilization of microcontroller systems for monitoring water quality in aquaculture remains uncommon. Particularly, there is a pressing need for real-time monitoring of water quality to ensure optimal control in aquaculture operations. Hence, this research aims to assess the performance of an Arduino-based water quality monitoring system that has been developed. This system employs various sensors to monitor water quality and is centered around an Arduino microcontroller. Subsequently, the constructed system underwent testing using different solutions, including TDS solution calibrated to 1382 ppm, pH buffer solutions of pH 4.00, pH 6.86, and pH 9.00, as well as clean water and water from fish ponds. The measurement results obtained from the device were compared and analyzed for error rate, precision, and accuracy. The findings indicate that the system functions effectively with temperature, TDS, and pH sensors, exhibiting favorable error, accuracy, and precision values. Thus, the Arduino-based water quality monitoring system devised in this study proves to be a viable option for aquaculture operations. This research contributes novel insights into real-time water quality monitoring, enhancing the efficiency of water management in aquaculture
Implementasi Metode Fuzzy Sugeno pada Prototipe Pendeteksi Banjir: IMPLEMENTASI METODE FUZZY SUGENO PADA PROTOTIPE PENDETEKSI BANJIR
Pemantauan ketinggian air sangat penting untuk mencegah kerugian dan korban jiwa akibat banjir. Pengembangan sistem real-time untuk pengambilan keputusan sangat diperlukan dalam konteks ini. Penelitian ini menggunakan metode fuzzy sugeno pada prototipe pendeteksi banjir, dengan ESP 32 sebagai mikrokontroler yang dilengkapi logika fuzzy dan sensor ultrasonik A02YYUW untuk mengukur ketinggian air. Metode ini melibatkan proses fuzzifikasi, inferensi, dan defuzzifikasi. Pengujian menunjukkan sensor ultrasonik A02YYUW memiliki rata-rata eror sebesar 0,1% dan waktu respon pengambilan keputusan fuzzy sekitar 0,115 detik. Simulasi menggunakan matlab menghasilkan rata-rata eror 0%. Dengan demikian, pendeteksi banjir ini menggunakan sensor ultrasonik A02YYUW dan metode fuzzy sugeno dapat menjadi solusi efektif untuk memantau dan menginformasikan kondisi ketinggian air guna mengurangi resiko banjir
Pemantauan dan Kontrol Otomatis Efisiensi Sel Surya melalui Simulasi Solar Tracker dengan Mikrokontroler
Efektivitas panel surya dalam penerimaan iradiasi matahari menjadi permasalahan yang masih mempengaruhi adalah bahwa daya yang dihasilkan oleh panel surya belum mencapai titik maksimumnya. Terdapat beberapa faktor-faktor yang memengaruhi, salah satunya intensitas radiasi matahari dan sudut kemiringan matahari terhadap panel surya. Sudut kemiringan ini biasanya tetap karena banyak panel surya dipasang dalam instalasi statis. Oleh karenanya diperlukan sistem otomatis dalam penerimaan iradiasi matahari pada panel surya. Penelitian ini menggunakan metode analisis data kualitatif dilakukan dengan melakukan pengujian solar tracker baik dalam keaadaan tracking dan keaadan non tracking melalui observasi langsung. Data yang diambil merupakan data hasil outputan panel surya baik itu tegangan, arus serta daya baik dalam keadaan tracker diaktifkan dan tracker nonaktif. Pada penelitian ini didapatkan hasil bahwa efisiensi panel surya dalam keadaan tracker lebih tinggi dibandingkan dengan efisiensi panel surya dalam keadaan tracker dinonaktifkan, dimana pada pengujian yang telah di lakukan nilai efisiensi dari panel surya dalam keadaan tracker lebih besar 1,326951 % terhadap efiensi yang dihasilkan oleh panel surya dalam keadaan tracker dinonaktifka
Sistem Otomasi Precision Air Conditioning (PAC) Berbasis PLC Zelio untuk Optimalisasi Energi di Ruang Server
Power Analysis of 3 Phase Induction Motor Drive Conveyor 06 at PT. Mitrabara Adiperdana: Analisis Daya Motor Induksi 3 Fasa Penggerak Conveyor 06 di PT. Mitrabara Adiperdana
Conveyor belt is a material handling tool that is widely used in minning industry. The tool consists of belts or tires made of various types of materials that are resistant to the transportation of solid objects or coal. In order to drive the conveyor, a 3-phase induction motor is needed. PT. Mitrabara Adiperdana used induction motors on each conveyor including conveyor 06. With consumer demand, motors continue to operate to drive conveyors in transporting coal on stockpiles filling barges. The number of berges filled makes the motor continue to operate to move the conveyor for up to one full day. Therefor, it is necessary to analyze the power of consumption and performance level of the motor on conveyor 06, because if there is demage to the motor, the production process on conveyor will be hampered. From the primary data obtained in the field by making direct measurements and obtained the calculation results, the power value is 35.058 Kw when the conveyor is not loaded and 81.80 kw when the conveyor is loaded. With the result of power used when loaded, the calculation of efficiency is 69,45%. Whith this value, the conveyor motor 06 operates less effectively. It is stated be effective when the efficiency value is between 80% and 100% of the effeciency value on motor rating rate
Pengaruh Panjang Jaringan Terhadap Drop Tegangan Pada Penyulang Duku dan Kurma PT. PLN (Persero) ULP Rumbia
Voltage drops in distribution systems can occur in medium voltage networks (JTM), distribution transformers, low voltage networks (JTR) and house lines. Voltage drops in the network cause suboptimal distribution and increase power losses. PT. PLN (Persero) ULP Rumbia has two feeders with pure radial network characteristics sourced from the Seputih Banyak Main Substation. The length of the Duku Feeder network has a voltage of 96.8 KMS with a load of 150 A while the length of the Kurma Feeder network is 207.21 kV with a load of 155 A. The network reconfiguration of the Dente Teladas Substation was carried out to shorten the network length. This research aims to calculate the voltage drop that occurs at the Duku and Kurma feeders before and after network configuration. This research uses the quantity method to compare the calculation results with the voltage drop standards set by PT. PLN (Persero). After reconfiguring the Duku and Kurma feeders, there was an increase in tip voltage which indicated improvement. From the calculation results before adding the network to the Duku feeder, the voltage at the receiving end was 19.5 kV with a voltage drop of 7.1%, and at the Kurma feeder the voltage at the end of the line was 17 kV with a voltage drop of 19%. This is clearly no longer in accordance with the local TMP, and requires further study to overcome this problem. The voltage on the two feeders goes through a step up process using a Medium Voltage OLTC (On Load Tap Changer) so that the voltage on each feeder becomes between 19.86 kV to 20.16 kV