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Journal : Rotasi

Improvisasi Metode Biseksi pada Maximum Power Point Tracking (MPPT) dengan Menggunakan Algoritma Incremental Conductance Habibi, Muhammad Nizar; Windarko, Novie Ayub; Efendi, Moh. Zaenal; Eviningsih, Rachma Prilian; Mahendra, Luki Septya; Junianto, Sony
ROTASI Vol 26, No 1 (2024): VOLUME 26, NOMOR 1, JANUARI 2024
Publisher : Departemen Teknik Mesin, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/rotasi.26.1.52-61

Abstract

The solar energy potential reaches 207.8 GWp in Indonesia, providing numerous opportunities to harness renewable energy. One approach is utilizing solar panels; however, these panels have a low energy conversion rate. Maximum Power Point Tracking (MPPT) is a technique that can maximize the performance of solar panels to consistently generate maximum power. Bisection MPPT is implemented in the system due to its ease of implementation, but it performs less effectively under low irradiance. The Incremental Conductance algorithm is a suitable choice for improving Bisection MPPT. Apart from being easy to implement, the Incremental Conductance algorithm is not dependent on the characteristics of the solar panel. It also features Variable Step Size to eliminate ripple when reaching the maximum power of the solar panel. Incremental Conductance MPPT can enhance Bisection MPPT with a maximum increase of 17,483 Watts. The Bisection-Incremental Conductance MPPT algorithm takes 2.122 seconds to reach the maximum power of the solar panel, generating 1.89 x 10^6 Ws of energy for 0.4 seconds. It yields the highest value compared to Bisection MPPT and Incremental Conductance MPPT.
A Hardware Implementation of SEPIC Converter Using ANFIS for Water Flow Control Adila, Ahmad Firyal; Sutedjo, Sutedjo; Mahendra, Luki Septya; Habibi, Muhammad Nizar; Rifadil, Mochammad Machmud; Putri, Ghodah Haifa
ROTASI Vol 26, No 2 (2024): VOLUME 26, NOMOR 2, APRIL 2024
Publisher : Departemen Teknik Mesin, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/rotasi.26.2.45-52

Abstract

Water resources are one of the needs for the continuation of life. The majority of people in Indonesia still use a manual water tank filling system, so it requires regular checks. Filling the water tank manually is ineffective because it requires turning on and off the pump first so the use of electrical energy is increasingly wasteful. In this research, a water flow control system was developed to fill water tanks, making it easier to use water both at home and in public facilities. This water flow control system uses a Single Ended Primary Inductor Converter (SEPIC) Converter as a DC motor pump supply voltage regulator. The SEPIC converter has the advantage of being able to increase and decrease the voltage value without changing the polarity. The duty cycle settings on the SEPIC converter are regulated using the Adaptive Neuro-Fuzzy Inference System (ANFIS) control method. The water flow control settings in this system use feedback from the water flow sensor by utilizing the hall effect. Based on simulations and implementation that have been carried out using MATLAB as well as hardware testing, at a set point value of 1.5 liters/minute the output voltage value is 3.9 V, and at a set point value of 3 liters/minute the output voltage value is 6.8 V. Implementation of ANFIS control has proven to be a solution for regulating voltage and has worked more efficiently on loads.
Utilization of Altimetry Satellite Data in Investigating the Energy Potential of Tidal Current Junianto, Sony; Purnamasari, Ika; Habibi, Muhammad Nizar; Daffa, Muhamamd Zulfiqar; Yudiprasetyo, Nehemia Bagas
ROTASI Vol 26, No 1 (2024): VOLUME 26, NOMOR 1, JANUARI 2024
Publisher : Departemen Teknik Mesin, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/rotasi.26.1.35-43

Abstract

Indonesia has a theoretical potential of tidal currents energy of 287 GW. The area that has the high potential is in the strait area. The tidal current has kinetic energy that can be converted into electricity using a Tidal Currents Energy Conversion System (TCECS). One of the potential straits is the Molo Strait. To determine the characteristics of tidal currents in the Molo Strait, local numerical modeling was carried out using tidal data and verified using publicly available field data. The equation used in local numerical modeling is the equation derived from the 3-dimensional Navier-Stokes equation by looking at the horizontal coordinates. The results of this modeling may be used to determine the power density and the type of turbine technology that is suitable to be applied in the Molo Strait. This paper reports that the Molo Strait has different two-way currents flow at high and low tides. In addition, the maximum mechanical power density at the potential point, coordinates (-8.625242°,119.805644°), in the spring and neap tides of the Molo Strait are 5.47 kW/m2, 5.18 kW/m2, 0.59 kW/m2 and 0.7 kW/m2, respectively. These may be calculated into mechanical power after determining the type and dimensions of the turbine technology.
Pembuatan Perangkat Portabel untuk Penanggulangan Banjir dengan Monitoring Real-Time Ketinggian Air Sungai Berbasis IoT Endriantono, Dafit Ody; Syakirudin, Thofail; Rifat, Ahmad Miftahur; Novaliyanto, Zanuar Dwi; Kemal Pasya, Moch Raihan; Zaky, Asyraf Sulthan; Mahardhika, Yesta Medya; Habibi, Muhammad Nizar
ROTASI Vol 27, No 3 (2025): VOLUME 27, NOMOR 3, OKTOBER 2025
Publisher : Departemen Teknik Mesin, Fakultas Teknik, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/rotasi.27.3.%p

Abstract

Bencana banjir merupakan tantangan hidrometeorologi paling signifikan di Indonesia, menyebabkan kerugian sosial-ekonomi yang besar dan mengancam keselamatan jiwa. Sistem peringatan dini yang ada seringkali terkendala oleh keterlambatan informasi, jangkauan terbatas, dan ketergantungan pada infrastruktur konvensional. Penelitian ini bertujuan merancang, membangun, dan menguji "FLOPRO", sebuah sistem peringatan dini banjir yang portabel, mandiri energi, dan berbasis Internet of Things (IoT). Metodologi pengembangan sistem ini mengintegrasikan mikrokontroler ESP32 sebagai unit pemrosesan utama, sensor ultrasonik HC-SR04 untuk pengukuran ketinggian air secara non-kontak, dan sistem catu daya mandiri yang terdiri dari panel surya 5V, modul pengisi daya TP4056, serta baterai LiPo. Data pengukuran ditransmisikan secara real-time ke cloud server melalui protokol Message Queuing Telemetry Transport (MQTT) yang ringan dan efisien. Sistem ini menyediakan mekanisme peringatan melalui peringatan suara lokal melalui modul ISD1820 untuk respons komunitas yang cepat. Hasil pengujian prototipe dalam lingkungan laboratorium terkontrol menunjukkan kinerja yang sangat andal. Validasi sensor HC-SR04 menghasilkan tingkat kesalahan rata-rata di bawah 3%. Transmisi data melalui MQTT menunjukkan latensi end-to-end yang rendah dengan keandalan pengiriman pesan yang tinggi. Sistem catu daya surya terbukti mampu menjaga operasional perangkat secara kontinu. Dapat disimpulkan bahwa perangkat FLOPRO berhasil divalidasi sebagai solusi EWS banjir yang efektif, portabel, dan efisien energi, dengan potensi besar untuk meningkatkan kesiapsiagaan masyarakat terhadap bencana banjir.