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Sistem Monitoring Suhu Dan Kelembaban Pada Budidaya Jamur Tiram Menggunakan ESP32 Achmad Ridho’i; Kukuh Setyadjit; Bayu Era Yordhan
Jurnal FORTECH Vol. 4 No. 1 (2023): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v4i1.4103

Abstract

In order to get a good yield of oyster mushrooms, oyster mushroom farmers need to have good and correct knowledge of oyster mushroom cultivation, from seeding methods, mushroom fertilization, to maintenance of room conditions for oyster mushroom cultivation, farmers also need to maintain a room temperature of 28oC and 60% humidity. RH. In this final project, a tool is designed that can make it easier for oyster mushroom cultivators in places where oyster mushrooms are not supposed to be cultivated, such as in the city of Sidoarjo or anywhere that has hot weather, a temperature of 28oC and humidity of 60% RH is needed to produce maximum yields. . This tool is designed with a DHT 22 sensor which functions as a temperature and humidity detector for oyster mushroom cultivation which will later send a digital signal to the ESP32 microcontroller to process display data in the blink application, to provide command processes through the blynk application to turn on the exhaust and water pump. With this research, through the integration of monitoring the blynk application, the ESP32 microcontroller, Exhaust, and water pump can be useful for field users. This tool can help mushroom farmers remotely monitor and control temperature and humidity in hot cities.
Modelling and Analysis of Ziegler-Nichols and Chien-Hrones-Reswick Tuning PID on DC Motor Speed Control Reza Sarwo Widagdo; Balok Hariadi; Kukuh Setyadjit
Jurnal Teknologi Elektro Vol 14, No 1 (2023)
Publisher : Electrical Engineering, Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jte.2023.v14i1.005

Abstract

There have been many studies on the methods used to control DC motors, one of which is the proportional-integral-derivative (PID) control method. The tuning procedure is carried out by trial and error whose results are not necessarily correct, to overcome this problem an alternative is needed that can achieve a better and faster value for the tuning process. Our contribution is explained the conventional PID (Ziegler - Nichols) and modificated PID (Chien - Hrones - Reswick). We also analyze the response of the speed-controlled DC motor using the Proportional, Integral, and Derivative parameters obtained from the tuning method described above. We also discuss the advantages and disadvantages of each formula of these methods. Implementing both methods using a Matlab, creating a more convenient and user-friendly environment for engineering students and practicing engineers to better understand the formulas of his PID controller tuning method.
RANCANG BANGUN SPREAD SPECTRUM DENGAN METODE SINKRONISASI SERIAL CORRELATOR BERBASIS FPGA Noer Soedjarwanto; Anang Budikarso; Kukuh Setyadjit
Jurnal Teknik Ilmu dan Aplikasi Vol. 3 No. 2 (2022): Jurnal Teknik Ilmu dan Aplikasi
Publisher : Politeknik Negeri Malang

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Abstract

Makalah ini menitik-beratkan pada pembuatan sistem sinkronisasi pada teknik pentransmisian spread spectrum asinkron. Dalam merealisasikan modul digunakan Field Programmable Gate Array ( FPGA ) Spartan II XC2S100-5 tq 144 yang terintegrasi pada Board XSA 100, implementasinya digunakan board XSA 100 dan software Xilinx ISE 6.1i. Modul terhubung secara wireline dan dirancang seperti terhubung secara wireless dimana pengaruh delay transmisi sangat besar pada proses tersebut. Dalam perancangan dan implementasi modul ini digunakan sistem Direct Sequence Spread Spectrum dan kode acak semu (pseudorandom code) maxlength dengan taping [5,2]. Pada proses transmisi antara pemancar dan penerima ditambahkan delay sebesar 1 periode chip atau sekitar 0.2 microsecond, sehingga menjadi sistem yang asinkron. Proses sinkronisasi pada penerima digunakan Serial Korelator yang terintegrasi dengan Digital Control Oscillator ( DCO ). Rangkaian ini bekerja pada proses akuisisi untuk mendapatkan timing sinyal yang benar pada proses despreading. Hasil pengujian dilakukan dan divisualisasi dengan Logic Analyser.
Analysis and Mitigation of Harmonics Distortion with Optimization Capacitor Banks and Single-Tuned Passive Filters Reza Sarwo Widagdo; Kukuh Setyadjit; Izzah Aula Wardah
Jambura Journal of Electrical and Electronics Engineering Vol 5, No 2 (2023): Juli - Desember 2023
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v5i2.19016

Abstract

Electrical system power supplies always require a completely sinusoidal voltage signal. But for a variety of reasons, utilities often struggle to maintain these desired conditions. Deviations of voltage and current waveforms from a sinusoidal form are called harmonic distortions. Harmonic distortions in power networks are increasing due to the widespread use of non-linear loads. In this article we will analysis at a single-tuned passive filter and optimization using a capacitor bank. Load-current analysis determines the efficiency of the filter application by calculating the load bus voltage and total harmonic distortion (THD). To simulate the work, the Electrical Transient Analyzer Program (ETAP) software was used. This system was created specifically for this simulation and does not represent a real system. This model tests the effects of injecting harmonic currents into a power grid through a variable speed drive (VFD). The filter is attenuated with a capacitor bank.
SF35 Deret Multi-Sensor IoT Berbasis AI untuk Termal Mesin Sepeda Motor Lutfi Agung Swarga; Ratna Hartayu; Kukuh Setyadjit; Izzah Aula Wardah
SinarFe7 Vol. 8 No. 1 (2026): Sinarfe7-8 2026
Publisher : FORTEI Regional VII Jawa Timur

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Abstract

Engine overheating is a primary cause of performance loss and premature component failure in motorcycles, yet factory temperature indicators are reactive and only warn once an unsafe condition has occurred. This study extends a prior IoT thermal-monitoring system by adding an artificial-intelligence (AI) layer and framing the platform as a teaching model for sustainable engineering education. A three-sensor array—PT100 (via MAX31865), Thermocouple Type-K (via MAX31855), and a non-contact GY-906 (MLX90614)—is read by an ESP32, displayed on a 20x4 LCD, and streamed to a Blynk dashboard with a buzzer, push, and email Early Warning System. Using 81 field samples collected from a Honda PCX 150 across daytime, evening, and night sessions with and without coolant, a lightweight edge-AI model (logistic regression) performs sensor fusion to (a) predict overheating two minutes ahead and (b) detect coolant loss before overheating occurs. Under leave-one-session-out cross-validation the predictor reached 93.8% accuracy and an AUC of 0.984, issuing warnings on average 2.0 minutes earlier than a fixed 100 C threshold, while cooling-fault detection identified coolant loss about 5 minutes before overheat onset. The IoT link stayed stable (latency < 2 s, zero packet loss). Beyond the technical result, the system is presented as a project-based learning module that integrates IoT, machine learning, and green technology to build sustainability-oriented graduate competencies.
Sistem Kualitas Minyak Goreng Menggunakan Sensor Gas, Sensor Warna Dan Sensor Kekeruhan Dengan Algoritma Fuzzy Gaussian Bell Alan Wisnuati; Kukuh Setyadjit; Lutfi Agung Swarga
Journal Renewable Energy, Electronics and Control Vol 6, No 1 (2026): JURNAL JREEC
Publisher : Department of Electrical Engineering, Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jreec.2026.v6i1.8886

Abstract

Minyak yang dipakai berkali-kali akan mengalami penurunan mutu, yang terlihat dari perubahan warna, bau, dan tingkat kekeruhan. Penelitian ini merancang sebuah sistem pemantauan untuk kualitas minyak goreng dengan memanfaatkan tiga jenis sensor: gas TGS, sensor warna TCS3200, dan sensor kekeruhan berbasis LED-LDR. Data yang diperoleh dari sensor diolah menggunakan algoritma Gaussian Bell fuzzy dengan tiga input (gas, warna, dan kekeruhan) serta satu output (kualitas: baik, sedang, buruk). Uji coba dilakukan pada tiga merek minyak dengan lima jenis masakan (ayam, telur, tahu, tempe, dan terong). Hasilnya menunjukkan bahwa sistem ini dapat mengidentifikasi perubahan mutu minyak dengan efisien. Nilai hasil ditampilkan melalui layar LCD dan antarmuka pengguna grafis Python. Sistem ini bisa menjadi alternatif dalam menilai kualitas minyak goreng secara lebih obyektif.