WIJAYA, PROBO ANDI (2025) SISTEM KENDALI SUHU DAN KELEMBAPAN PADA RUANG TRAFO MENGGUNAKAN METODE FUZZY MAMDANI BERBASIS IoT. S1 thesis, Universitas Mercu Buana Jakarta.
|
Text (HAL COVER)
01 COVER.pdf Download (581kB) | Preview |
|
![[img]](https://repository.mercubuana.ac.id/style/images/fileicons/text.png) |
Text (BAB I)
02 BAB 1.pdf Restricted to Registered users only Download (226kB) |
|
|
Text (BAB II)
03 BAB 2.pdf Restricted to Registered users only Download (521kB) |
|
|
Text (BAB III)
04 BAB 3.pdf Restricted to Registered users only Download (450kB) |
|
|
Text (BAB IV)
05 BAB 4.pdf Restricted to Registered users only Download (468kB) |
|
|
Text (BAB V)
06 BAB 5.pdf Restricted to Registered users only Download (220kB) |
|
|
Text (DAFTAR PUSTAKA)
07 DAFTAR PUSTAKA.pdf Restricted to Registered users only Download (218kB) |
|
|
Text (LAMPIRAN)
08 LAMPIRAN.pdf Restricted to Registered users only Download (1MB) |
Abstract
The temperature and humidity control system in the transformer room using the Mamdani fuzzy method based on the Internet of Things (IoT) is an innovation designed to improve the efficiency and safety of transformer operations. Transformers as vital components in the power distribution system have a high level of vulnerability to external disturbances, especially those caused by uncontrolled environmental temperature and humidity. When the temperature and humidity are not balanced, it can lead to several issues, like lower performance, faster wear and tear on insulation, and possible system breakdowns that can result in material losses and major interruptions in electricity distribution. Through the utilisation of IoT technology, this system is able to monitor the environmental conditions of the transformer room in real-time using temperature and humidity sensors connected to a WiFi network. The collected environmental data is automatically sent to the Mamdani fuzzy logic-based control system to be analysed and processed. Mamdani fuzzy logic was chosen because of its ability to handle ambiguous or uncertain data, so it is very relevant in dealing with fluctuations in temperature and humidity values in the transformer room. With this approach, the system can determine an adaptive automatic response, such as activating fans, coolers, or warning alarms when environmental conditions cross a preset threshold. This Mamdani fuzzy-based temperature and humidity control system is proven to work well. In testing, the DHT22 sensor showed high capability in detecting the ambient temperature and humidity precisely, with working power at a voltage of 4.97 V and a current of 322,5 µA, and operating continuously without interruption. When the ambient temperature exceeds the 40°C threshold and the relative humidity level falls below 55%, actuators such as buzzers, relays, and fans activate automatically, as defined in the fuzzy inference rules. During these critical conditions, the buzzer turns on with a voltage consumption of 4.98 V and a current of 0.11 mA, and the relay works at a voltage of 4.98 V and a current of 0.63 mA, while the fan operates with a voltage of 4.98 V and a current of 0.114 A. All components in the system respond quickly and accurately to environmental changes and show stable and efficient performance in real-time monitoring of the temperature and humidity of the transformer room. Keywords- Transformer room temperature and humidity control system, Internet of Things (IoT), Mamdani Fuzzy, DHT22 Sistem kendali suhu dan kelembaban pada ruang trafo menggunakan metode fuzzy Mamdani berbasis Internet of Things (IoT) merupakan sebuah inovasi yang dirancang untuk meningkatkan efisiensi dan keamanan operasional transformator. Transformator sebagai komponen vital dalam sistem distribusi tenaga listrik memiliki tingkat kerentanan yang tinggi terhadap gangguan eksternal, khususnya yang disebabkan oleh suhu dan kelembaban lingkungan yang tidak terkendali. Ketidakseimbangan parameter lingkungan tersebut dapat menimbulkan berbagai permasalahan, seperti penurunan kinerja, percepatan degradasi isolasi, hingga potensi terjadinya kegagalan sistem yang berujung pada kerugian material maupun gangguan distribusi listrik secara luas. Melalui pemanfaatan teknologi IoT, sistem ini mampu melakukan pemantauan kondisi lingkungan ruang trafo secara real-time dengan menggunakan sensor suhu dan kelembaban yang terhubung ke jaringan WiFi. Data lingkungan yang terkumpul secara otomatis dikirimkan ke sistem pengendali berbasis logika fuzzy Mamdani untuk dianalisis dan diolah. Logika fuzzy Mamdani dipilih karena kemampuannya dalam menangani data yang bersifat ambigu atau tidak pasti, sehingga sangat relevan dalam menghadapi fluktuasi nilai suhu dan kelembaban di ruang trafo. Dengan pendekatan ini, sistem dapat menentukan respons otomatis yang adaptif, misalnya mengaktifkan kipas, pendingin, atau alarm peringatan ketika kondisi lingkungan melewati ambang batas yang telah ditetapkan. Sistem kendali suhu dan kelembapan berbasis fuzzy Mamdani ini terbukti berjalan dengan baik. Dalam pengujian, sensor DHT22 menunjukkan kapabilitas tinggi dalam mendeteksi suhu dan kelembaban lingkungan secara presisi, dengan daya kerja pada tegangan 4,97 V dan arus sebesar 322,5 µA, serta beroperasi terusmenerus tanpa gangguan. Ketika suhu lingkungan melebihi ambang 40°C dan tingkat kelembaban relatif turun di bawah 55%, aktuator seperti buzzer, relay, dan kipas aktif secara otomatis, sebagaimana ditetapkan dalam aturan inferensi fuzzy. Pada saat kondisi kritis tersebut, buzzer menyala dengan konsumsi tegangan 4,98 V dan arus 0,11 mA, relay bekerja pada tegangan 4,98 V dan arus 0,63 mA, sementara kipas beroperasi dengan tegangan 4,98 V dan arus 0,114 A. Seluruh komponen dalam sistem merespons perubahan lingkungan dengan cepat dan akurat, serta menunjukkan performa stabil dan efisien dalam pemantauan suhu dan kelembaban ruang trafo secara real-time. Kata kunci- Sistem Kendali suhu dan kelembaban ruang trafo, Internet of Things (IoT), Fuzzy Mamdani, DHT22
Actions (login required)
 |
View Item |
