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IMPLEMENTATION OF IMAGE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK (CNN) ALGORITHM ON VEHICLES IMAGES Muhammad Nurhadi; Joko Purnomo
ASEAN Journal of Systems Engineering Vol 6, No 1 (2022): ASEAN Journal of Systems Engineering
Publisher : Master in Systems Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ajse.v6i1.72411

Abstract

PERFORMA MOTOR INDUKSI SATU FASA MENGGUNAKAN PENGGERAK MATRIK KONVERTOR PADA PERUBAHAN BEBAN Setiyono; Joko Purnomo; Ridwan
Prosiding Seminar SeNTIK Vol. 6 No. 1 (2022): Prosiding SeNTIK 2022
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini memaparkan disain pengerak motor induksi satu fasa menggunakan matrik konvertor melalui simulasi pemodelan. Tujuannya adalah untuk mengetahui watak dan karakteristik tegangan keluaran, kecepatan motor, torsi ,dan indeks Total harmonic Distortion (THD) terhadap perubahan beban. Metode yang digunakan yakni mendisain rancangan elektronik ke dalam model matlab Simulink kemudian disimulasikan dan dianalisis parameter parameter gelombang keluaran yang diuji. . Hasil simulasi menunjukkan tegangan keluaran hampir berbentuk sinusoida namun masih memiliki kandungan total harmonisa yang cukup tinggi sebesar 103,52%. Hal ini dipengaruhi oleh jenis pulsa pengendali penyalaan gerbang matrik konvertor. Sedangkan perubahan empat kondisi torsi beban (1/4T, 1/2T,3/4T,T), semakin besar torsi beban maka kecepatan motor turun secara linier
Prototipe Penstabil Tegangan Listrik Berbasis ESP32 dengan Transformator Center Tap (CT) dan Monitoring via Blynk untuk Perangkat Elektronik Rumah Tangga Nicholas Adrian; Joko Purnomo; Alona Situmeang
CYCLOTRON Vol 9 No 02 (2026): CYCLOTRON
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/ct.v9i02.31246

Abstract

Fluctuations in PLN electricity voltage often cause undervoltage conditions below the SNI standard (198–242 V), which can reduce performance and damage household electronic devices. This study aims to design a single-phase automatic voltage stabilizer prototype that is capable of increasing low voltage to approach 220 V and can be monitored through a smartphone application. The prototype uses a PZEM-004T sensor to detect voltage as a control reference, an ESP32 microcontroller as the control center, a Center Tap (CT) transformer configured in series as a booster to stabilize the voltage, and a relay as an output tap selector. Testing was conducted with input voltage variations of 170–220 V, and the results showed that at an input of 170 V, the output could be stabilized at 224.9 V. This value is still within the ±10% tolerance range of the nominal voltage of 220 V. Based on these results, the prototype proved capable of maintaining voltage stability under undervoltage conditions and providing a safe output for household electronic devices.