Journal of Telecommunication Electronics and Control Engineering (JTECE)

Design and Implementation of a Smart Auto Feeder Fish System Based on Fish Age and Size Using Fuzzy Logic Method

Kharis Nurmaya Sugiarto — 2026-07-31

Catfish farming plays a vital role in supporting food security and the economy in Indonesia. However, feed efficiency remains a major challenge as feed accounts for up to 40% of production costs. This study aims to design and implement a Smart Auto Feeder Fish system based on Fuzzy Sugeno logic to optimize feed distribution according to fish age and size. The system uses an ESP32 microcontroller, RTC DS3231, HX711 load cell, keypad, LCD, and three servo motors. The Sugeno fuzzy method determines feed quantity using linguistic inputs of age and size. Testing shows average feeding latency of 1.27 seconds (morning) and 1.73 seconds (afternoon), with feed accuracy reaching 98.12% and 97.47%, respectively. The system was tested in two ponds with 250 fish each. The pond with the system achieved a higher survival rate (75.60%) compared to the control pond (70.40%) and showed more linear growth patterns. The Smart Auto Feeder proves effective in improving feed efficiency, fish growth, and survival rates through automated and adaptive feeding.

Pengendalian Arus Motor Brushless DC (BLDC) Berdasarkan Mode Magnetisasi Dan Demagnetisasi

Mochamad Dony Firdaus — 2026-07-31

This paper presents a current control strategy for brushless DC (BLDC) motors based on magnetization-demagnetization mode to reduce current distortion and electromagnetic torque ripple during six-step commutation. This study aims to suggest a simpler yet effective current control strategy by utilizing magnetization and demagnetization modes. This strategy uses the Hysteresis Current Control (HCC) method to precisely regulate the current increase and decrease rate in the stator coils to follow the desired reference current. The application of magnetization-demagnetization mode allows for faster current transitions so that the current is synchronized with the BLDC motor back-EMF. This synchronization has a direct impact on the stability of the electromagnetic torque, especially in steady-state conditions, where torque changes can be suppressed, resulting in relatively small torque ripple. To verify the analysis results, simulations are conducted. The simulation results show that the proposed control system is able to perform optimally with smoother current characteristics and stable torque in steady-state conditions.

Perancangan Sistem Backwash Otomatis pada Filter Air Berbasis Kendali Logika Fuzzy

Sarmayanta Sembiring — 2026-07-31

Kualitas air permukaan terus menurun akibat meningkatnya polutan antropogenik, sehingga diperlukan sistem filtrasi yang andal dan efisien. Sistem filtrasi granular umumnya mengalami penurunan kinerja akibat akumulasi padatan yang memicu peningkatan tekanan diferensial (head loss), sehingga proses backwash menjadi kebutuhan operasional yang penting. Namun, backwash manual sering kali tidak optimal dan boros air, serta tidak adaptif terhadap perubahan kondisi hidrolik seperti fluktuasi tekanan inlet. Penelitian ini merancang sistem filter air granular berbahan PVC berdiameter 4 inci dengan mekanisme backwash otomatis berbasis tekanan diferensial (ΔP) dan debit aliran (Q). Untuk mengatasi fluktuasi tekanan inlet, diterapkan metode normalisasi ΔP dan Q sehingga menghasilkan parameter operasi yang lebih stabil dan reliabel. Keputusan volume air backwash ditentukan melalui kendali logika fuzzy dengan input crisp tekanan dan debit, sehingga sistem mampu beradaptasi terhadap kondisi operasional aktual. Sistem menggunakan dua sensor tekanan Gravity SEN0257 dan satu sensor debit YF-S201, masing-masing dengan error rata-rata 1,43% dan 0,92% untuk tekanan serta 1,22% untuk debit. Hasil pengujian menunjukkan bahwa normalisasi menurunkan variabilitas ΔP dan Q secara signifikan, menjadikan ΔP_norm dan terutama Q_norm lebih representatif dalam mendeteksi fouling. Secara keseluruhan, sistem berhasil mendeteksi kondisi filter kotor dengan tingkat keberhasilan 84,62%, dan perhitungan volume backwash berbasis fuzzy menunjukkan error hanya 0,04% dibandingkan metode manual. Temuan ini menunjukkan bahwa sistem backwash otomatis yang diusulkan efektif, adaptif, dan lebih efisien dalam penggunaan air.

Sistem Manajemen Pengambilan Sampah Pintar Menggunakan Metode Fuzzy

Witsar Rafi'udin — 2026-07-31

Sampah merupakan masalah umum yang terjadi di seluruh dunia saat ini. Kenaikan jumlah sampah seiring dengan meningkatnya populasi manusia menjadi sebuah tantangan bagi pemerintah dalam menanggulangi permasalahan sampah tersebut. Berbagai percobaan baik dari pemerintahan ataupun organisasi mandiri dalam menjaga kebersihan lingkungan dari sampah sudah dilakukan, namun hal tersebut tentu belum cukup. Penelitian ini ditujukan untuk membantu hal tersebut dalam bentuk sebuah sampah pintar. Pada sampah pintar ini, terdapat berbagai sensor antara lain sensor ultrasonik sebagai pendeteksi tingkat kepenuhan tempat sampah, sensor gas sebagai pendeteksi bau menyengat dari sampah, dan GPS Module sebagai alat pendeteksi lokasi tempat sampah. Sistem ini menggunakan fuzzy logic sebagai pembuat keputusan utama dalam sistem. Cara kerja sistem ini dimulai dari pengambilan sensor pada tempat sampah yang kemudian akan dikirim ke database server untuk pengaplikasian fuzzy logic pada data yang kemudian akan ditampilkan pada website. Tes akurasi menunjukkan bahwa sensor ultrasonik memiliki 97% rata-rata akurasi sedangkan GPS memliki rata-rata error 3,77 meter. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan memiliki potensial untuk mendukung pengelolaan sampah secara lebih terarah, namun masih memerlukan perbaikan dan pengujian lebih lanjut guna mencapai performa yang optimal.

Analisis Efisiensi Konsumsi Daya Melalui Penerapan Mode Deep Sleep pada Sistem Pompa Air IoT Bertenaga Surya

Nabiilah Widya Liliani Eka Saputri — 2026-07-31

Integrasi teknologi Internet of Things (IoT) dengan sistem energi terbarukan memungkinkan proses pemantauan dan pengendalian dilakukan secara otomatis, menjadikannya sangat ideal untuk diterapkan di lokasi terpencil yang tidak terjangkau jaringan listrik konvensional. Sistem yang dikembangkan memiliki kemampuan untuk memantau ketinggian air dan mengontrol pengoperasian pompa secara otomatis, dengan data yang dikirimkan ke platform Home Assistant untuk pemantauan secara real-time. Penelitian ini bertujuan untuk menganalisis pengaruh penerapan mode deep sleep terhadap nilai arus, tegangan, serta konsumsi daya pada sistem pompa air berbasis IoT bertenaga surya. Metode penelitian yang digunakan adalah metode eksperimen dengan model One Group Pre-test–Post-test Design untuk membandingkan kinerja sistem sebelum dan sesudah penerapan mode deep sleep. Parameter listrik yang diukur meliputi arus dan tegangan untuk menganalisis pengaruhnya terhadap konsumsi daya sistem. Hasil penelitian menunjukkan bahwa penerapan mode deep sleep berhasil mengurangi konsumsi arus hingga 0,0538A, sementara nilai tegangan tetap stabil dan tidak mengalami perubahan yang signifikan. Selain itu, sistem mampu mencapai efisiensi penghematan daya sebesar 51,24%. Hasil ini membuktikan bahwa mode deep sleep efektif dalam meningkatkan efisiensi energi tasnpa memengaruhi karakteristik tegangan sistem. Dengan demikian, penerapan mode deep sleep efektif dalam meningkatkan persentase penghematan daya dan memperpanjang masa operasional sistem pompa air berbasis IoT bertenaga surya.

Sistem Informasi Pengelolaan Event Pariwisata Berbasis Web Untuk Meningkatkan Keterlibatan Pelaku UMKM

Yeremia Victor Rondonuwu — 2026-07-28

Perkembangan teknologi berbasis web menghadirkan peluang baru dalam pengelolaan event pariwisata yang lebih efisien dan transparan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi berbasis web yang dapat meningkatkan keterlibatan pelaku usaha mikro, kecil, dan menengah (UMKM) dalam event pariwisata. Metode penelitian menggunakan pendekatan pengembangan sistem yang mencakup empat tahapan utama: analisis kebutuhan, perancangan, implementasi, dan pengujian. Pengujian dilakukan dengan metode Blackbox testing untuk memvalidasi fungsionalitas sistem, serta analisis dampak untuk mengevaluasi manfaat bagi berbagai peran pengguna, yaitu administrator, penyelenggara acara dan pelaku UMKM. Hasil penelitian menunjukkan bahwa sistem berhasil mendukung fungsi inti, meliputi login dan autentikasi pengguna, pembuatan event, serta pencarian dan filter event. Analisis dampak lebih lanjut menunjukkan bahwa sistem mempermudah penyelenggara dalam mengelola event, memperluas akses UMKM terhadap peluang usaha, serta membantu administrator dalam proses monitoring dan pengambilan keputusan. Temuan ini menegaskan potensi solusi berbasis cloud sebagai rujukan untuk penelitian selanjutnya maupun implementasi praktis dalam memperkuat peran UMKM di sektor pariwisata.

Slot-Enabled Mutual Coupling Reduction in Flexible Jeans-Based Textile MIMO Antenna for 2.45 GHz Wearable System

Umaisaroh Umaisaroh — 2026-07-28

Mutual coupling is a main challenge in the design of textile-based Multiple-Input Multiple-Output (MIMO) antennas, as it can significantly degrade channel capacity, signal quality, and communication efficiency. This study proposes a jeans-based textile MIMO antenna modified with vertical and horizontal slots at the center of the patch to minimize electromagnetic interaction between elements. The antenna was designed and analyzed using HFSS, and its performance was validated through measurements. The results demonstrate high isolation (S21) values, with –58.32 dB in simulation and –78.19 dB in measurement, at the 2.45 GHz operating frequency. In addition, the antenna exhibits an omnidirectional radiation pattern with uniform energy distribution, ensuring reliable coverage. These findings confirm the effectiveness of the slot technique in enhancing MIMO antenna performance and highlight the potential of flexible jeans-based substrates for wearable system applications in Wireless Body Area Networks (WBAN) and the Internet of Things (IoT).

Doubled Curved MIMO Antenna with Decoupling Ring Structure and DGS For Wi-Fi Based Wearable IoT Application

Ayu Mika Sherila — 2026-07-28

The swift evolution of wireless communication technologies and the Internet of Things (IoT) has intensified the demand for wearable devices that can deliver high-speed and dependable connectivity. Wearable systems, including smart textiles and body-centric communication platforms, demand compact and low-profile antennas that can sustain stable performance under body motion and in close proximity to the human body. This work proposes a double-curved MIMO microstrip antenna operating at 5.3 GHz, specifically designed for wearable IoT applications. The antenna architecture incorporates a decoupling ring structure in conjunction with a Defected Ground Structure (DGS) to effectively suppress mutual coupling and improve overall electromagnetic performance. A jeans-based textile substrate with dimensions of 48 × 32 mm is utilized in the antenna fabrication, offering flexibility while maintaining mechanical robustness. Measurement results demonstrate excellent impedance matching with an S11 of −30.62 dB, high isolation characterized by an S21 of −45.67 dB, and a peak gain of 3.57 dB. The combined implementation of the DGS and decoupling ring structure significantly enhances the antenna bandwidth and radiation efficiency without compromising its compact form factor. These results confirm the suitability of the proposed antenna for wearable IoT and Wi-Fi applications requiring stable and efficient operation around the 5.3 GHz frequency band. Moreover, the presented design approach provides a viable framework for the development of future flexible and high-performance antenna systems for next-generation wireless communication technologies.

Performance Evaluation of the LoRa E220-900T30D for Wind Turbine Monitoring Systems: RSSI Measurements, Propagation Model Analysis, and Compliance with Indonesian Communication Regulations

Indah Kurniawati — 2026-08-04

Wind turbines require reliable real-time monitoring systems to ensure performance and operational safety. LoRa-based IoT technology is selected due to its long-range capability and low power consumption. This study evaluates the performance of the LoRa E220-900T30D module for wind turbine monitoring in Bangkalan by measuring RSSI at distances from 10 to 2600 m and comparing the results with the Free-Space, Two-Ray, and Okumura-Hata propagation models. The findings show that the Okumura-Hata model best matches the field conditions and is used to predict communication coverage up to 10 km. With the transmit power limited by Indonesian regulations (100 mW) and LoRa sensitivity (–124 dBm), the maximum communication distance is approximately 6.8 km. The range can be extended to about 9.5 km by increasing the Spreading Factor, though at the cost of reduced data rate. This study demonstrates the feasibility of LoRa for wind turbine monitoring in rural environments through optimized device configuration

Sistem Monitoring Real-Time Parameter Kualitas Limbah Cair Industri Tahu Berbasis Arduino Nano dengan Analisis Akurasi Sensor dan Validasi Kalibrasi

Farah Oktavia — 2026-08-04

Penelitian ini merancang dan mengimplementasikan sistem monitoring real-time berbasis Arduino Nano untuk mengukur parameter kualitas limbah cair industri tahu, meliputi suhu (DS18B20 Sensor), pH (pH Meter V1.0), dan TDS (TDS Sensor), disertai analisis akurasi, nilai error, dan prosedur kalibrasi terhadap alat ukur standar. Sistem dirancang sebagai instrumen elektronik utama yang bersifat portabel, terintegrasi dengan komunikasi Bluetooth HC-05 dan antarmuka LCD 20×4. Pengujian kalibrasi sensor suhu menghasilkan rata-rata error sebesar 0,23°C (akurasi 99,2%), sensor pH menghasilkan error rata-rata 0,08 pH (akurasi 98,9%), dan sensor TDS menghasilkan error rata-rata 15,4 ppm (akurasi 97,8%), dibandingkan terhadap alat ukur laboratorium terstandarisasi. Sistem divalidasi pada pengolahan limbah cair tahu menggunakan metode flokulasi Ca(OH)₂. Hasil monitoring menunjukkan bahwa penambahan Ca(OH)₂ optimal sebesar 5 gram pada kondisi pengadukan 60 rpm selama 15 menit meningkatkan pH dari 4,88 menjadi 6,6 (peningkatan 35,2%) dan meningkatkan nilai TDS dari 1.298 ppm menjadi 1.320 ppm. Sistem yang dikembangkan terbukti mampu menghasilkan data kontinu yang reliabel untuk mendukung evaluasi proses pengolahan limbah di skala UMKM.

Classification of Tuna Freshness Phases Integration of E-Nose and Digital Colorimetry

ERLINA NUR ARIFANI — 2026-08-04

Traditional methods for evaluating tuna freshness are often constrained by human subjectivity, high costs, and destructive laboratory procedures. This presents a challenge to food safety, particularly in preventing toxic histamine accumulation and mitigating export rejections. This study investigates a rapid, non-destructive, and low-cost quality evaluation system for raw tuna using integrated modern sensor technologies. The system incorporates an electronic nose utilizing MQ-136 and MQ-137 gas sensors to monitor volatile hydrogen sulfide (H₂S) and ammonia (NH₃) emissions during open-air storage, combined with an integrated color sensor driven by a microcontroller architecture. Kinetic modeling confirmed that both NH₃ and H₂S rate constant (R²) of 0.82. Classified tuna quality into three phases: fresh (0-10 hour), semi-fresh (11-20 hour), and spoiled (21-30 hour). Concurrently, the microcontroller executed real-time visual classification based on specific Red-Green-Blue (RGB) range: fresh (172 < R < 184, 70 < G < 104, $89 < B < 129), semi-fresh (151 < R < 167, 32 < G < 64, 49 < B < 83), and spoiled (119 < R < 149, 0 < G < 28, 0 < B < 45). This portable and objective sensing platform provides for high-speed, real-time quality control and safety in food industry.

Multipath Channel Analysis at 30 GHz for 6G Wireless Networks Based on BER Performance

Reni Dyah Wahyuningrum — 2026-08-04

The development of sixth-generation (6G) wireless networks has encouraged the utilization of millimeter-wave (mmWave) spectrum to support extremely high data rates and network capacity. However, signal propagation at mmWave frequencies is highly susceptible to multipath effects and severe path loss, particularly under Non-Line-of-Sight (NLOS) conditions. This study analyzes the characteristics of a 30 GHz multipath channel using the NYUSIM channel simulator and evaluates its impact on Bit Error Rate (BER) performance. Simulations were conducted in an Urban Microcell (UMi) NLOS scenario with a bandwidth of 400 MHz, employing 64-QAM modulation, Orthogonal Frequency Division Multiplexing (OFDM), and a rate-1/2 Convolutional Code. Channel characterization results indicate a path loss of 127 dB, an average received power of −96.1 dBm, and an RMS delay spread of 14.6 ns. Furthermore, the Angle of Arrival (AOA) and Angle of Departure (AOD) analyses reveal that signal propagation is dominated by reflected paths due to the absence of a direct Line-of-Sight (LOS) component. BER performance evaluation shows that increasing the Signal-to-Noise Ratio (SNR) from 0 dB to 14 dB reduces the BER from approximately 4.8 × 10⁻¹ to 9 × 10⁻³. At an SNR of 16 dB, the system achieves a BER below 10⁻³, indicating a substantial improvement in transmission reliability. The results demonstrate that the combination of OFDM and Convolutional Coding effectively mitigates the effects of multipath fading in mmWave channels, making it a promising solution for future 6G wireless communication systems operating at 30 GHz.

Optimalisasi Faktor Daya Pada Sistem Tenaga Listrik Kapal Menggunakan Kendali Automatic Capacitor Bank Berbasis Decision Tree

alief nur maulidhia — 2026-08-04

Efisiensi energi merupakan aspek krusial dalam operasional industri, di mana dominasi beban induktif seperti motor listrik sering menyebabkan rendahnya faktor daya (power factor) dan berujung pada pemborosan energi listrik. Panel bank kapasitor atau Automatic Power Factor Correction (APFC) telah banyak digunakan sebagai solusi, namun umumnya masih mengadopsi metode kendali konvensional. Metode ini memiliki kelemahan berupa respons yang lambat karena proses penyaklaran kapasitor dilakukan secara bertahap atau manual, sehingga kurang adaptif terhadap fluktuasi beban yang dinamis. Penelitian ini bertujuan merancang sistem APFC berbasis Programmable Logic Controller (PLC) dengan penerapan algoritma Decision Tree untuk meningkatkan kecepatan dan ketepatan respons. Sistem dirancang untuk tegangan tiga fasa 380V, dengan input berupa parameter listrik dari power meter digital yang diproses oleh PLC. Algoritma Decision Tree digunakan untuk memetakan kondisi beban dan menentukan kombinasi kapasitor optimal secara langsung (direct selection). Sistem juga dilengkapi kontrol manual melalui push button serta antarmuka Human Machine Interface (HMI) untuk pemantauan real-time. Penerapan algoritma Decision Tree diharapkan mampu meminimalkan waktu tunda kompensasi dibandingkan metode konvensional, sehingga menghasilkan sistem yang lebih efisien, responsif, dan adaptif terhadap perubahan beban industri.

Numerical and Experimental Analysis of Electromagnetic Scattering Characteristics of Wood Beams and Wood Logs Using a UWB Vivaldi Antenna

Mudrik Alaydrus — 2026-08-06

This paper presents a numerical and experimental investigation of the electromagnetic scattering characteristics of wood beams and wood logs using a ultra-wideband (UWB) Vivaldi antenna. Understanding the interaction between electromagnetic waves and wooden materials is important for applications involving nondestructive sensing, vegetation-aware propagation modeling, and microwave material characterization. A UWB Vivaldi antenna was designed, fabricated, and experimentally validated through reflection coefficient and radiation pattern measurements. The scattering behavior of wooden objects was subsequently analyzed using full-wave electromagnetic simulations and controlled measurements employing a two-antenna transmission configuration. Wood beams and wood logs with different geometries and orientations were investigated to evaluate the influence of object shape, rotational angle, and operating frequency on transmission characteristics. The results demonstrate good agreement between simulation and measurement, confirming the validity of the proposed approach. For wood beams, the transmission coefficient exhibits limited angular dependence at lower frequencies but stronger attenuation effects at higher frequencies. In the case of wood logs, larger objects introduce significantly greater transmission loss and stronger orientation-dependent variations compared with smaller logs. These findings indicate that electromagnetic scattering in wood is strongly influenced by geometry, size, and frequency. The proposed study contributes to a deeper understanding of electromagnetic wave interaction with wooden structures and supports future developments in microwave sensing, radar systems, forestry diagnostics, and vegetation-related propagation analysis.