RANCANG BANGUN SISTEM MONITORING AUTOMATIC TRANSFER SWITCH (ATS) DENGAN METODE EXPERT SYSTEM BERBASIS INTERNET OF THINGS (IoT) SEBAGAI BACKUP ENERGI LISTRIK

ARA AKDZAL AL TARIQ, . (2026) RANCANG BANGUN SISTEM MONITORING AUTOMATIC TRANSFER SWITCH (ATS) DENGAN METODE EXPERT SYSTEM BERBASIS INTERNET OF THINGS (IoT) SEBAGAI BACKUP ENERGI LISTRIK. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Energi listrik merupakan kebutuhan utama yang gangguan sekecil apa pun dapat menyebabkan kerugian material atau membahayakan keselamatan, khususnya pada fasilitas kritikal. Penelitian ini merancang dan membangun sistem monitoring Automatic Transfer Switch (ATS) berbasis Internet of Things (IoT) dengan metode expert system sebagai backup energi listrik untuk menjaga kontinuitas daya. Sistem menggunakan komponen ESP32, sensor ZMPT101B, PZEM-004T, sensor tegangan DC, LCD, relay, GSM SIM900A, inverter, pilot lamp, dan baterai 12V 35Ah. Ketika PLN padam, suplai daya otomatis beralih ke baterai dan kembali ke PLN saat aktif kembali. Kondisi ATS dapat dipantau secara real-time melalui platform Blynk beserta notifikasi. Expert system digunakan untuk menganalisis kondisi operasional ATS berdasarkan parameter tegangan PLN, kapasitas baterai dan kondisi beban menggunakan algoritma fuzzy Mamdani melalui Fuzzy Inference System (FIS) pada MATLAB R2018b. Hasil analisis digunakan untuk menentukan status sumber daya dan divisualisasikan dalam bentuk diagram surface untuk menunjukkan pengaruh variabel input terhadap status beban ATS. Pengujian di Laboratorium Instrumentasi Kendali Universitas Negeri Jakarta menunjukkan sistem berfungsi dengan baik. Nilai error sensor ZMPT101B sebesar 0,45%, sensor tegangan DC 0,24%, serta sensor PZEM-004T pada tegangan 0,45%, arus 3,7% dan daya 0,91%. Durasi koneksi GSM SIM900A tercatat 48 detik di dalam laboratorium dan 1 menit 38 detik di depan gedung elektro. Sistem ATS mampu berpindah otomatis dalam 3 detik dengan tegangan inverter 217–232 VAC. Baterai 12V 35Ah mampu menyuplai beban 50 watt selama 3 jam 30 menit hingga inverter cutoff pada 11,8 VDC. Hasil pengujian pada MATLAB menunjukkan nilai output crisp sebesar 1,86 yang termasuk dalam kategori beban disuplai baterai. Nilai tersebut sesuai dengan hasil perhitungan menggunakan metode fuzzy Mamdani dan defuzzifikasi Mean of Maximum (MOM). ***** Electrical energy is a primary need where even the slightest disturbance can cause material losses or endanger safety, especially in critical facilities. This study designs and builds an Internet of Things (IoT)-based Automatic Transfer Switch (ATS) monitoring system using an expert system method as a backup for electrical energy to maintain power continuity. The system uses ESP32 components, ZMPT101B sensors, PZEM-004T, DC voltage sensors, LCD, relays, GSM SIM900A, inverters, pilot lamps, and 12V 35Ah batteries. When the PLN power goes out, the power supply automatically switches to the battery and returns to PLN when it is back on. ATS conditions can be detected in real time through the Blynk platform along with notifications. An expert system is used to analyze the operational conditions of the ATS based on PLN voltage parameters, battery capacity and load conditions using the Mamdani fuzzy algorithm through the Fuzzy Inference System (FIS) in MATLAB R2018b. The results of the analysis are used to determine the status of the resource and visualized in the form of a surface diagram to show the effect of input variables on the ATS load status. Testing at the Control Instrumentation Laboratory of Jakarta State University showed the system functioning well. The error value of the ZMPT101B sensor was 0.45%, the DC sensor voltage was 0.24%, and the PZEM-004T sensor at 0.45% voltage, 3.7% current and 0.91% power. The GSM SIM900A connection duration was recorded at 48 seconds in the laboratory and 1 minute 38 seconds in front of the electrical building. The ATS system was able to switch automatically in 3 seconds with an inverter voltage of 217–232 VAC. The 12V 35Ah battery was able to back up a 50 watt load for 3 hours 30 minutes until the inverter cutoff at 11.8 VDC. The test results in MATLAB showed a crisp output value of 1.86 which is included in the category of battery-supplied loads. This value is in accordance with the calculation results using the Mamdani fuzzy method and Mean of Maximum (MOM) defuzzification.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Prof. Dr. Efri Sandi, S.Pd., M.T. ; 2). Rafiuddin Syam, S.T., M.Eng., Ph.D.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Ara Akdzal Al Tariq .
Date Deposited:	12 Aug 2026 04:09
Last Modified:	12 Aug 2026 04:09
URI:	http://repository.unj.ac.id/id/eprint/70025

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