The semiconductor industry is a strategic sector that plays a crucial role in supporting digital transformation and national technological independence. To build a competitive semiconductor ecosystem, it is essential to develop human resources (HR) with a strong understanding of semiconductor concepts and applications. This study aims to analyze the level of understanding among electrical engineering students regarding semiconductor materials as a foundation for strengthening HR capacity in this field. A qualitative approach was applied through a survey involving 35 students of the Electrical Engineering Department, University of Lampung, specializing in Electronics and Control. The survey instrument consisted of a questionnaire with three answer categories: “do not know,” “know but cannot explain,” and “know and can explain,” covering four main themes—semiconductor physics, semiconductor technology, IC design, and semiconductor applications. The results revealed that most students only mastered basic concepts, while understanding of more advanced materials remained limited. These findings indicate the need to improve learning effectiveness through more interactive and contextual methods, along with the enrichment of materials relevant to industry needs. The results of this study are expected to provide valuable insights for strengthening semiconductor education in higher institutions to support the growth of Indonesia’s semiconductor industry.

The increasing demand for electricity supply is evident across various modern industrial sectors. Electrification advancements in the transportation industry aim to address environmental and energy issues and continue to evolve. Charging electric vehicles is one of the most important aspects of electrification in the transportation sector. This study develops and simulates a three-phase IGBT-based rectifier using the Discontinuous Pulse Width Modulation 60-degree (DPWM1) method to optimize power loss reduction in a 200-kW charging system. The DPWM method has been shown to reduce power losses by up to 44% compared to the conventional Sinusoidal Pulse Width Modulation (SPWM) method under full load conditions, resulting in reduced heat and cooling requirements for the devices. Simulations show that with the appropriate use of filters, the total harmonic distortion of current (THDi) of the AC input side is reduced to 2.267%, minimizing the negative impacts on the grid. In addition, implementing feedforward control maintains DC voltage stability despite load variations, improving system efficiency and reliability.

Teknologi yang kian pesat perkembangannya selaras dengan energi yang dikonsumsinya memberikan dampak negatif kepada sumber energi listrik konvensional serta mengakibatkan kerusakan lingkungan dimana perlunya energi alternatif yaitu energi baru terbarukan (EBT). Energi baru terbarukan ini menghasilkan energi listrik dalam bentuk arus searah (DC) yang perlu diubah menjadi arus bolak-balik (AC). Maka, hasil energi listrik yang diproduksi EBT dapat dikonversi menjadi arus bolak-balik dengan menggunakan inverter. Maka penilitian disini adalah untuk simulasi dan membuat inverter tiga fasa untuk mengubah energi listrik DC menjadi AC tiga fasa lalu dihubungkan ke motor bldc tiga fasa dengan berbagai frekuensi. Inverter memerlukan sebuah sistem kontrol dalam penaklaran transistor daya, dimana metode yang digunakan adalah Sinusoidal Pulse Wide Modulation (SPWM) yang dimana metode ini membandingkan dua gelombang yaitu gelombang fundamental (sinus) dan gelombang karir (segitiga) dimana hasil dari komunikasi ini yang dipanggil sebagai SPWM yang nantinya digunakan untuk pensaklaran transistor daya pada inverter. Keluaran dari inverter disambungkan ke motor bldc tiga fasa lalu diukur kecepatannya menggunakan tachometer serta frekuensi yang dikeluaran dapat divariasikan dengan mengatur frekuensi dasar gelombang dengan menggunakan mikrokontroler. Konklusi yang dapat diambil dari penelitian ini mendemonstrasikan bahwa kecepatan pada kecepatan motor bldc tiga fasa yang mana berbanding lurus terhadap frekuensi.

INTISARIIndonesia sebagai negara kepulauan dengan sumber daya alam yang beragam, memiliki banyak nelayan yang mengandalkan budidaya ikan laut untuk mata pencaharian mereka. Metode keramba jaring apung menjadi pilihan populer karena efisiensi dan keamanannya. Namun, tantangan utama adalah jarak keramba dari daratan yang memerlukan waktu, tenaga, dan biaya untuk memberi makan ikan. Untuk mengatasi ini, mesin pakan ikan otomatis berbasis mikrokontroler Mappi32 yang dapat memberikan pakan secara otomatis dan efisien. Namun, tantangan lain muncul dalam bentuk koneksi internet yang tidak stabil di daerah laut. Sebagai solusi, Long Range (LoRa), sistem komunikasi Low Power Wide Area Network (LPWAN) yang mampu mentransmisikan data jarak jauh, digunakan sebagai alternatif untuk komunikasi data nirkabel. Penelitian ini merancang dan menguji sistem pengendalian dan pemantauan alat pakan ikan otomatis berbasis aplikasi yang dibuat menggunakan MIT App Inventor menggunakan modul LoRa pada frekuensi 915MHz di keramba jaring apung. Aplikasi Android akan digunakan sebagai sistem pengendalian dan pemantauan, dengan integrasi melalui mikrokontroler yang terhubung Bluetooth. Sistem pemantauan pada alat pakan ikan otomatis ini dapat beroperasi memantau ketersediaan pakan ikan menggunakan sensor ultrasonik HCSR-04 dengan nilai error sebesar 1,22% dan jarak pancar data mencapai jarak 310 m dengan persentase kegagalan sebesar 12,9%. Sistem pengendalian dapat melakukan pelontaran pakan serta mengatur kondisi penerangan secara langsung menggunakan aplikasi tanpa penjadwalan khusus pada jarak maksimal 320 m.ABSTRACTIndonesia, as an archipelagic country with diverse natural resources, has many fishermen who rely on marine fish farming for their livelihood. The floating net cage method is a popular choice due to its efficiency and safety. However, the main challenge is the distance of the cages from the shore, which requires time, effort, and costs to feed the fish. To address this, an automatic fish feeder machine based on the Mappi32 microcontroller can provide feed automatically and efficiently. Another challenge arises in the form of unstable internet connections in marine areas. As a solution, Long Range (LoRa), a Low Power Wide Area Network (LPWAN) communication system capable of long-distance data transmission, is used as an alternative for wireless data communication. This research designs and tests a control and monitoring system for an automatic fish feeder based on an application developed using MIT App Inventor, utilizing the LoRa module at a frequency of 915MHz in floating net cages. An Android application is used for control and monitoring, integrated through a microcontroller connected via Bluetooth. The monitoring system of this automatic fish feeder operates by monitoring the fish feed availability using an ultrasonic sensor HCSR-04 with an error rate of 1.22% and a data transmission range of up to 310 meters with a failure rate of 12.9%. The control system can launch feed and adjust lighting conditions directly using the application without specific scheduling at a maximum distance of 320 meters.

Akuaponik merupakan metode penggabungan budidaya ikan air tawar (akuakultur) dan budidaya sayuran (hidroponik) yang memanfaatkan media air dan tidak menggunakan tanah. Pada budidaya Akuaponik, sayuran dan ikan dapat tumbuh optimal dipengaruhi beberapa faktor salah satunya pH air. pH pada sistem Akuaponik berpengaruh pada kemampuan tanaman dalam menyerap nutrisi. Penelitian ini bertujuan untuk mengetahui kinerja alat sistem pemantau pH dan kendali pH Akuaponik pada tanaman selada dengan mikrokontroler Wemos D1 R2 sebagai pengendali utama, aplikasi Blynk yang dapat membantu memantau keadaan pH dan Aktuator dalam hal ini Pompa Peristaltik sebagai pengendali otomatis pH Akuaponik. Setelah dilakukan penelitian diketahui bahwa penelitian ini menghasilkan alat yang dapat memantau nilai pH menggunakan aplikasi Blynk dan dapat mengendalikan pH menggunakan Aktuator. Alat pemantau dan pengendali stabil karena mampu menampilkan data dan mempertahankan nilai pH pada rentang nilai pH 6-7 sema pertumbuhan tanaman selada. Waktu yang dibutuhkan untuk menurunkan nilai pH cenderung lebih lama yaitu 23,6 detik dibandingkan dengan waktu untuk menaikkan nilai pH yaitu 14,8 detik.

Secara umum, masyarakat yang tinggal di sekitar masjid terdiri dari berbagai tingkat ekonomi. Sebagian mereka mampu berbagi kepada sebagian lain yang membutuhkan. Mempertemukan kedua kebutuhan ini, yakni berbagi dan menerima, kadang tidak semudah yang dibayangkan. Selain karena faktor wabah yang mengharuskan social distancing, juga karena faktor-faktor yang berhubungan dengan kenyamanan dalam memberi dan menerima. Peran masjid dalam hal ini menjadi sangat penting. Tujuan dari kegiatan ini adalah memberdayakan masjid dalam menjembatani kedua pihak pemberi dan penerima, khususnya dalam berbagi kebutuhan pokok beras dengan menyediakan ATM Beras. Keberadaan ATM ini dapat membantu mengatasi masalah-masalah yang timbul dengan kontak langsung seperti wabah Covid-19 dan hal-hal yang berhubungan dengan ketidaknyamanan antara pemberi dan penerima. Cara kerja dari ATM Beras ini tidak sama dengan ATM konvensional yang digunakan dalam perbankan. Setiap penerima beras yang didata oleh pengurus masjid, akan diberi kartu RFID. Setiap pemegang kartu ini hanya dapat mengambil beras 2,5 kg perhari. Pengurus masjid akan menjamin ketersediaan beras pada ATM yang diperoleh dari donasi para pemberi.

Water is a fundamental element crucial for sustaining human life, with its quality significantly impacted by human activities. One detrimental consequence of human influence is the generation of waste that threatens aquatic ecosystems. To optimize the utilization of water resources, it becomes imperative to gain real-time insights into water conditions. Hence, developing a data acquisition system capable of continuously monitoring temperature and pH levels in water bodies, facilitated through a PC and wireless connectivity, is essential. This work proposes a monitoring system incorporating a DB 10S20 temperature sensor, an Analog pH meter, an Arduino Mega 2560 microcontroller, and a 433 MHz Telemetry Kit. The system is deployed on an Unmanned Surface Vehicle programmed to autonomously navigate to specific waypoints, conduct measurements at these locations, display the collected data, and store it using a data logger. This comprehensive system represents a robust solution for continuous water quality monitoring and holds potential applications in environmental research, resource management, and sustainable practices. This system operates effectively within a line-of-sight data transmission range of 50 m. Monitoring temperature and pH in the University of Lampung’s water catchment area revealed a 0.09 increase in pH for every 1°C temperature increment.

Abstract Neural network Backpropagation is a good method to use to determine RGB color (Red, Green, Blue) because it can give high accuracy values. Neural network backpropagation there are several activation functions that can be used. This study aims to determine the activation function and to form the optimal network architecture in the backpropagation in determining RGB colors. Neural network model backpropagation was developed using 3 types of activation functions, namely Binary Sigmoid, Bipolar Sigmoid, and Linear. Based on the training results, the Bipolar Sigmoid activation function produces the highest accuracy value compared to the Binary Sigmoid activation function and the Linear activation function. The optimal network architecture is modeled using 3 nodes in the input layer, 2 hidden layers consisting of 2 hidden layer nodes, and 1 node in the output layer. In the model that has been made, the percentage of network training and testing accuracy is 100% resulting in the smallest MSE with a value of 6,1E-03 in the 97th iteration in 485 milliseconds.. Keywords: activation function, artificial neural network, backpropagation, RGB. Abstrak Jaringan saraf tiruan backpropagation merupakan salah satu metode yang baik digunakan untuk menentukan warna RGB (Red, Green, Blue) karena dapat memberikan nilai akurasi yang tinggi. Pada jaringan saraf tiruan backpropagation terdapat beberapa fungsi aktivasi yang dapat digunakan. Penelitian ini bertujuan untuk mengetahui fungsi aktivasi serta membentuk arsitektur jaringan yang optimal pada jaringan saraf tiruan backpropagation dalam menentukan warna RGB. Pada penelitian ini, model jaringan saraf tiruan backpropagation dikembangkan menggunakan 3 jenis fungsi aktivasi yaitu Sigmoid Biner, Sigmoid Bipolar, dan Linear. Berdasarkan hasil pelatihan, fungsi aktivasi Sigmoid Bipolar menghasilkan nilai akurasi tertinggi dibandingkan fungsi aktivasi Sigmoid Biner dan fungsi aktivasi Linear. Arsitektur jaringan yang optimal dimodelkan dengan menggunakan 3 node pada input layer, 2 hidden layer yang terdiri dari masing-masing 2 node hidden layer, dan 1 node pada output layer. Pada model yang telah dibuat, persentase akurasi pelatihan dan pengujian jaringan adalah sebesar 100% menghasilkan MSE terkecil dengan nilai 6,1E-03 pada iterasi ke-97 dalam waktu 485 milidetik. Kata Kunci: fungsi aktivasi, jaringan saraf tiruan, backpropagation, RGB.

Estimating number of trees with field plots located in remote or inaccessible areas can be a costly and timely endeavor.Unmanned aerial vehicle (UAV) remote sensing allowing for the estimation of the forest vegetation offers an alternative to traditional ground-based forest measurements.It is an important supplement to traditional aerial and satellite remote sensing due to its flexible, fast and cost-effective capability for acquiring very high spatial resolution imagery.In this study, we explored the application of UAV to monitoring mangrove forests in Margasari Lampung Indonesia.Using the UAV, we collected aerial photos of the Margasari mangrove area.The adaptive thresholding and contour extraction methods were applied to measure the number of trees of the mangrove forest.

Intisari — Kerusakan transformator distribusi sering disebabkan oleh ketidakseimbangan beban, sehingga monitoring ketidakseimbangan beban transfornator distribusi perlu dilakukan. Letak dan lokasi transformator distribusi yang jauh dan tersebar mengharuskan monitoring harus dilakukan dari jarak jauh. Teknologi internet of things (IoT) dan komunikasi tanpa kabel mendukung monitoring dari jarak jauh. Makalah ini menyajikan perancangan dan pembuatan alat monitoring ketidakseimbangan beban transformator distribusi menggunakan teknologi IoT. Mikrokontroler Arduino digunakan untuk memproses data tegangan dan arus dari sensor, menghitung indikator ketidakseimbangan beban dan mengirim data hasil proses ke jaringan internet menggunakan Ethernet shield dan router yang diperlengkapi dengan modem. Thingspeak digunakan sebagai platform IoT. Hasil pengujian menunjukkan bahwa peralatan monitoring mampu bekerja dengan baik sehingga kondisi ketidakseimbangan beban transformator distribusi dapat dimonitor secara online dari jarak jauh menggunakan perangkat yang terhubung ke jaringan internet. Kata kunci — Monitoring, Ketidakseimbangan Beban, Transformator Distribusi, Internet of things. Abstract — Damage to the distribution transformer is often caused by unbalanced load, so it is necessary to monitor the unbalanced load condition of the distribution transformer. The remote and dispersed location of distribution transformers requires remote monitoring. Internet of things (IoT) technology and wireless communication support remote monitoring. This paper presents the design and manufacture of distribution transformer unbalanced load monitoring tools using IoT technology. The Arduino microcontroller is used to process voltage and current data from sensors, calculate unbalanced load indicators and send process data to the internet network using an Ethernet shield and a router equipped with a modem. Thingspeak is used as an IoT platform. The test results show that the monitoring equipment can work properly so that the distribution transformer unbalanced load conditions can be monitored online remotely using a device connected to the internet network. Keywords— Monitoring, Unbalanced Load, Distribution Transformer, Internet of Things.

This study aims to create a prototype of an electronic key system using internet of things-based RFID with a validated monitoring system with registered data. This system is applied to the door of the Integrated Laboratory of the Department of Electrical Engineering, University of Lampung. The electronic keys that are created are very difficult to break into and also easy to change the access secret code to maintain confidentiality. The developed electronic door lock device has strong security reliability with code validation. The code validation block serves as a door unlock determinant. The validated data will produce a signal 1 which will drive the actuator, in this case the door lock solenoid, to work (lock open). The security code has 2554 combinations. To access the door from outside, the RFID tag should be registered in the database and permitted by administration and the ID number data is on the processor. The counter will count the number of people who pass through the door, if more than one person then the buzzer will sound. Then the door lock solenoid is closed and will lock the door again. From the experimental results it is found that this system can work well with a minimum delay of 1.8 s obtained at a distance between devices of 5 m.

Mobile Femtocell (MFemtocell) has received a lot of attentions due to its potential to mitigate a poor connectivity for the cellular users during their travels for works, to schools, to shopping malls, etc. using the vehicles. However, deploying MFemtocell in existing macrocell/microcell communication cellular networks (i.e., Orthogonal Frequency Division Multiple Access/OFDMA based) faces more complex interference problems, since MFemtocell shares the same radio resources as the existing cells (macro/microcell) of conventional cellular networks and it is due to its mobility. To mitigate the effects of interference caused by those deployed MFemtocells, the radio resource allocation plays an important role and it needs to be carefully designed. This paper is the basic investigation to the use of MFemtocell on the bus traveling in the microcell areas of OFDMA cellular networks. During the travel of MFemtocell, we first explore the use of static radio resource allocation algorithm to study the problem and then we apply dynamic radio resource allocation algorithm based on MFemtocell location to explore its potential. The extensive simulation experiment has been carried out to explore the distribution of Signal to Interference plus Noise Ratio (SINR) as the parameter. The simulation results show that the dynamic radio resource allocation outperforms the static radio resource allocation and there is a significant gap for the performance improvement. The improvement achieved 15% in term of Cumulative Distribution Function (CDF) of SINR at 30 dB.

Unbalanced load is one of the causes of unpredictable distribution transformer failure, so it is necessary to monitor the unbalanced load condition of the distribution transformer. Internet of things technology-based equipment supports remote monitoring needs. This paper presents the monitoring of unbalanced load in distribution transformer based on IoT technology. The ZMPT101B voltage sensor and SCT019 current sensor are used to measure the rms voltage and current in each phase, the Arduino microcontroller is used to process the measurement data and send it to the network server via an ethernet shield and a wifi router equipped with an internet modem. The results showed that the monitoring equipment based on IoT technology is able to work to monitor load unbalanced online so that it could be monitored remotely via device connected to the internet network

Oyster mushrooms (Pleurotus Ostreatus), such as white mushroom, chinese mushroom, and warm mushroom, is one type of edible mushrooms. Oyster mushroom cultivation is usually done at the mushroom house (kumbung) which is mostly made of bamboo. Oyster mushrooms can grow optimally by controlling the temperature and humidity in the kumbung. Kumbung environment conditioning is usually done manually by spraying water on the planting medium every 8 hours. But this is perceived as ineffective and requires high effort. For this reason, we need a technology that can monitor as well as control the environmental conditions inside the kumbung automatically and remotely. This paper describes the design of a system to monitor and control the temperature and humidity in the kumbung for oyster mushroom cultivation based on IoT (Internet of Things). This system is developed consisting of five parts, i.e sensor modules, microcontrollers, data loggers, actuators, and monitoring and control interfaces. The main result of this study is a remote monitoring and control of environmental conditions for oyster mushroom cultivation. The data of monitoring, in the form of temperature and humidity, are saved to the data logger and can be downloaded in the format (.csv). The system works functionally in accordance with the expected specifications, both in terms of sensor readings and actuator controlling.

Intisari — Kesenjangan nilai ekonomis yang cukup tinggi yang terjadi pada komoditas beberapa jenis daging konsumsi menjadi penyebab utama terjadinya kecurangan pada proses penjualannya. Secara kasat mata, beberapa jenis daging akan terlihat sama sehingga sulit untuk diidentifikasi. Dengan menggunakan pengolahan citra, data matriks dari beberapa jenis daging konsumsi akan menampilkan kecenderungan tertentu sehingga dapat dijadikan ciri identifikasi. Sampel pada penelitian ini adalah daging Kambing, daging Anjing, daging Babi, dan daging Celeng. Metode Substraksi RGB merupakan turunan dari matriks citra RGB. Dengan menggunakan metode ini, citra masing-masing jenis daging konsumsi dapat diidentifikasi. Hasil penelitian menunjukkan bahwa daging Kambing dan daging Celeng dapat diidentifikasi menggunakan substraksi GB, sedangkan daging Anjing dan daging Babi dapat diidentifikasi menggunakan substraksi GB yang dilanjutkan dengan substraksi RB.Kata kunci — kecurangan penjualan daging, identifikasi daging, pengolahan citra, substraksi RGBAbstract — High gap of the economic values that occurs in several types of meat commodities is a major cause of fraud of the meat sales. In plain view, several types of meat will be look similar so these were difficult to identify. By using image processing, matrix data from several types of meat will display certain trends so that it can be used as an identification feature. Samples in this study were goat meat, dog meat, pork meat, and boar meat. The RGB Substraction Method is a derivative of an RGB image matrix. Using this method, images of each type of meat can be identified. The results showed that goat meat and boar meat could be identified using GB substraction, while dog meat and pork meat could be identified using GB substraction followed by RB subtraction.Keywords — meat sales fraud, meat identification,image processing, RGB substraction

Persamaan difusi telah disimulasikan untuk mengetahui gambaran stratigrafi pengisian suatu cekungan. Simulasi tersebut memodelkan proses erosi dan pengendapan material sedimen per waktu. Parameter yang digunakan berupa basic initial input dan boundary condition yang sederhana, yaitu dengan asumsi fluktuasi sea-level dan laju subsiden yang stasioner serta geometri cekungan yang simetris. Kombinasi aturan transportasi sedimen dengan kontinuitas masa  pada suatu gradien slope menunjukkan linearitas antara laju perubahan elevasi dengan sedimen flux pada suatu cekungan. Semakin tinggi laju erosi semakin berpotensi suatu batuan dasar cekungan untuk tersingkap.

Energy harvesting is a process whereby energy produced is derived from an external. As for external sources consisting of sunlight, sound, the wind, vibrations, the press, and others. One potential that could be used the style press derived from a footrest man while walking. The device that can be used to harvest energy by using the style press is piezoelectric. Piezoelectric is a material when given style tap hence will generate electricity. But, electricity produced piezoelectric is a signal impulse so it needs a coherent rectifier and devices series of electronic another so that the energy harvested can be stored on a battery, in this research using a module BQ25570. Module BQ25570 is an electronic device in which there are DC-DC converter, charging battery and protection, and super capacitor as media temporary storage. The research was conducted by making a prototype with size 80 cm × 50 cm, use piezoelectric kind of PZT as many as 50 strung together in parallel. Testing conducted by using the style press from the average weight of a human body. The results of tests carried out the power produced at the time of heavy 42 kg is 1,345 mW, 52 kg is 2,251 mW, 67 kg is 4,729 mW, 70 kg is 10,646 mW, and 82 kg is 17,218 mW.

One important aspect in industrial manufacturing processes is the maintenance of machines' conditions. Therefore, monitoring the machine healthiness conditions is a crucial action. The drawback of conventional monitoring method is inefficiencies of the method due to the need to visit every single machine. One parameter for monitoring the machine's healthiness is vibration for the machines that have the motor components. This paper proposes a real-time monitoring system for such vibration monitoring. The proposed system is based on wireless sensor network (WSN). The nodes' prototype of proposed WSN was built and consisted of three nodes i.e. two sensor nodes and one sink node. The main component of the proposed system is Arduino uno which is not expensive relatively. In order to monitor the vibration parameter, the used sensor is the ADXL345 accelerometer sensor. The system design and testing have been carried out. The testing has been done for two aspects; the evaluation of communication performances and the machine vibration field measurements. The parameter for the testing of communication aspect is the data throughput that has been collected for the network performance evaluation. For the testing in real situations, the coffee grinder machine was chosen to be applied for the vibration monitoring system using one sensor and one sink nodes. From the testing results, the system achieved 546 bps of best throughput and was able to measure on the conditions of various supply powers to the machine. It implies the feasibility of the system in monitoring the vibration of the machine.

Fasies turbidit dan endapan hasil aliran gravitasi serta suksesi litologi yang monoton pada anggota batupasir Formasi Subang telah membuat korelasi stratigrafi menjadi sulit. Singkapan pada lokasi penelitian mayoritas berupa perselingan batupasir-batulempung, serta setempat ditemukan batupasir amalgamasi. Korelasi stratigrafi merupakan tahapan awal dalam analisis stratigrafi lebih lanjut, antara lain bertujuan untuk mengetahui runtutan kejadian sejarah pengendapan serta penyebarannya secara lateral. Analisis Time-Trend (TTA) merupakan metode dalam statistik untuk melihat tren/pola yang ada dari suatu sikuen data. TTA kemudian diterapkan pada penampang stratigrafi terukur pada anggota batupasir Formasi Subang yang tersingkap di lintasan Sungai Cikandung, Jawa Barat. Berdasarkan TTA, terdapat enam pola penumpukan strata yang dapat dikorelasikan secara meyakinkan, dengan batupasir amalgamasi sebagai variasi lokal dalam tren global yang melekat pada penampang stratigrafi di daerah penelitian.Katakunci: Analisis Time-Trend (TTA), korelasi stratigrafi, Formasi Subang.

Ketidakseimbangan beban merupakan salah satu penyebab kegagalan transformator distribusi yang tidak dapat diprediksi, sehingga monitoring ketidakseimbangan beban dari transformator distribusi perlu dilakukan. Peralatan berbasis teknologi internet of things mendukung monitoring dari jarak jauh. Makalah ini menyajikan monitoring ketidakseimbangan beban transformator distribusi berbasis teknologi IoT. Sensor tegangan ZMPT101B dan sensor arus SCT019 digunakan untuk mengukur tegangan dan arus rms di setiap fasa, mikrokontroler Arduino digunakan untuk memproses data hasil pengukuran dan mengirimkannya ke server jaringan melalui ethernet shield dan wifi router yang diperlengkapi dengan modem internet. Hasil penelitian menunjukkan bahwa peralatan monitoring berbasis teknologi IoT mampu bekerja untuk memonitoring ketidakseimbangan beban secara online sehingga dapat dimonitor dari jarak jauh melalui peralatan yang terhubung ke jaringan internet.