cover
Contact Name
Nurhajar Anugraha
Contact Email
jurnal.teliska@polsri.ac.id
Phone
+6281342233775
Journal Mail Official
jurnal.teliska@polsri.ac.id
Editorial Address
Jl. Srijaya Negara, Bukit Lama, Kec. Ilir Bar. I, Kota Palembang, Sumatera Selatan 30128
Location
Kota palembang,
Sumatera selatan
INDONESIA
Jurnal Teliska
ISSN : 20850786     EISSN : 26542765     DOI : -
JURNAL TELISKA adalah Jurnal dengan akses terbuka, jurnal peer-review yang diterbitkan oleh Jurusan Teknik Elektro, Politeknik Negeri Sriwijaya, Indonesia. Teliska diterbitkan dengan frekuensi 3 (tiga) kali dalam setahun dengan jumlah volume yang bervariasi. Artikel dapat berupa hasil penelitian, kajian ilmiah, dan analisis serta pemecahan masalah yang relevan dengan bidang teknik elektro, diantaranya Teknik Telekomunikasi/Komunikasi Nirkabel/Keamanan Jaringan, Teknik Listrik/Sistem Tenaga Listrik dan Teknik Elektronika/Sistem Isyarat Elektronis/Sistem Kendali, Sistem Informasi/Internet of Things/Kecerdasan Buatan. Semua artikel yang dikirimkan harus melaporkan hasil penelitian asli, yang sebelumnya tidak dipublikasikan, eksperimental atau teoritis yang tidak dipublikasikan dan sedang dipertimbangkan untuk dipublikasikan di tempat lain. Publikasi naskah yang diserahkan tunduk pada peer review. Baik aspek umum dan teknis dari makalah yang dikirimkan ditinjau sebelum dipublikasikan. Naskah harus mengikuti gaya jurnal dan dapat ditinjau dan diedit. Sistem pengajuan dan penerbitan online menggunakan Open Journal System (OJS). Pengajuan harus dilakukan secara online melalui situs pengiriman Website TELISKA dengan melakukan Registrasi terlebih dahulu setelah itu Login . Makalah yang diterima akan tersedia secara online.
Articles 101 Documents
APLIKASI AUTO LEVEL SYSTEM DENGAN INTERLOCK PADA CONTINUITY BULK MATERIAL PEMBANGKIT LISTRIK BIOMASSA Ahmad Aziz Mulyawan; Masayu Anisah; Iskandar Lutfi
JURNAL TELISKA Vol 19 No I (2026): TELISKA Maret 2026
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/teliska.v19iI.11811

Abstract

Fuel supply continuity is a critical factor in maintaining stable boiler operation in biomass power plants. Common problems include empty fuel bins and material overflow caused by manual conveyor operation. This final project focuses on the application of an auto level system with interlock in the continuity bulk material system of a biomass power plant. The system utilizes photocell sensors to detect minimum and maximum fuel levels in the fuel bin, integrated with contactors and thermal overload relays (TOR) to control and protect the conveyor motor. The research methods include literature study, field observation, system design, simulation, and performance testing. The test results show that the system is capable of automatically controlling conveyor operation, preventing fuel shortages and overfilling, and improving operational safety and reliability. The implementation of this system also reduces operator workload and ensures stable fuel supply to the boiler.
PREDIKSI PEMANENAN ENERGI PADA ARRAY PIEZOELEKTRIK KONFIGURASI SERI-PARALEL BERBASIS RANDOM FOREST REGRESSION Fairuz Attalah; Yurni Oktarina; Pola Risma; Assyifa Mourlina Faraquinsha; Hendra Marta Yudha
JURNAL TELISKA Vol 19 No I (2026): TELISKA Maret 2026
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/teliska.v19iI.11829

Abstract

This study analyses the electrical characteristics and predicts the power output of a piezoelectric smart carpet system through a comparative analysis of series and parallel circuit configurations using the Random Forest Regression (RFR) algorithm. The system was designed using 16 piezoelectric ceramic elements per block integrated into a 100 cm carpet structure. Experimental data were collected from five subjects with body masses ranging from 54–98 kg through walking and running activities, yielding 100 observational samples. Results show the series configuration produced an average power output of 1649.3 mW, outperforming the parallel configuration by 104.8%, which yielded only 805.1 mW, with peak voltage reaching 80 V during running. The RFR model optimized using GridSearchCV with 5-fold cross-validation achieved a coefficient of determination (R²) of 88.25%, a Mean Absolute Error (MAE) of 145.06 mW, and a Root Mean Squared Error (RMSE) of 179.15 mW. Feature importance analysis revealed that circuit configuration (47.59%) and step frequency (47.18%) are the dominant predictive factors, while body mass contributed only 5.22% due to mechanical saturation in the carpet structure. This study confirms that RFR is effective as a predictive model for optimizing biomechanical energy harvesting systems in public infrastructure.
BLIND STICK UNTUK PENYANDANG TUNA NETRA BERBASIS ARDUINO M.Raihan Alpinsyah; Novita Wulandari; Ririn Yuniar; Reny Annisa Witr; Nyimas Anniz Soufani; Seh Arya Dini; Nurhajar Anugraha; Rapiko Duri
JURNAL TELISKA Vol 19 No I (2026): TELISKA Maret 2026
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/teliska.v19iI.11887

Abstract

The development of microcontroller technology opens up significant opportunities for the development of mobility aids for people with disabilities, particularly the visually impaired. This research designed and developed an Arduino-based Blind Stick that helps users detect obstacles around them. The system utilizes an ultrasonic sensor for distance detection, a buzzer for audio alerts, and a vibration module to provide tactile feedback when an object is within a certain distance. Data received by the sensor is processed by an Arduino microcontroller, enabling a fast and accurate response. Test results indicate that the device is capable of detecting objects within an effective range according to the user's mobility needs and providing easy-to-understand alerts. Therefore, this Arduino-based Blind Stick is expected to improve the safety, independence, and quality of life of visually impaired users in their daily activities
SISTEM LAMPU JALAN OTOMATIS BERBASIS SENSOR LIGHT DEPENDENT RESISTOR Viki Priadi; Muhammad Arifin; Afdeli Hasni; Geulis Alya Byrin; Ineke Putri; Risma Dani; Yuris Ramadhona; Achmad Aflah Jamazy
JURNAL TELISKA Vol 19 No I (2026): TELISKA Maret 2026
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/teliska.v19iI.11888

Abstract

Street lights play a crucial role in supporting environmental safety and security. However, conventional street lighting systems remain inefficient due to their lack of automation. This research aims to design an automated street light security system based on a Light Dependent Resistor (LDR) sensor. The LDR sensor is used to detect ambient light intensity and serves as the basis for automatically controlling the lights, turning them on when it's dark and off when it's bright. Test results show that the system works well and is responsive to changes in light, improving energy efficiency and reducing reliance on manual operation
PREDIKSI PEMAKAIAN DAYA LISTRIK MENGUNAKAN SISTEM MACHINE LEARNING DAN INTERNET OF THINGS Ilham Purnama; Niksen Alfarizal
JURNAL TELISKA Vol 19 No 2 (2026): TELISKA Juli 2026
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/teliska.v19i2.11959

Abstract

ABSTRACT Electrical energy consumption continues to increase along with the rapid development of technology, creating the need for an efficient system capable of monitoring and predicting power usage automatically and in real-time. This research aims to design and implement an Internet of Things (IoT)-based electrical power prediction system integrated with Machine Learning using the Random Forest algorithm. The system utilizes an ESP32 microcontroller and a PZEM-004T sensor to collect electrical parameters such as voltage, current, and power consumption. The collected data are transmitted through the MQTT protocol to Node-RED and stored as datasets for further analysis using Google Colaboratory. The research method includes literature study, system design, hardware and software implementation, data collection, and model training using Random Forest regression. The results show that the system successfully performs real-time monitoring and predicts future electricity consumption with an RMSE value of 100.64 and a total predicted monthly consumption of 624,860.59 kW. The system can assist users in monitoring, analyzing, and optimizing electrical energy consumption more effectively and efficiently.
RANCANG BANGUN PROTOTIPE SISTEM KENDALI JEMBATAN PINTAR BERBASIS ARDUINO UNTUK MONITORING OPERASIONAL OTOMATIS SECARA REAL-TIME Glenn Andesta; Nada Savaira; Najwa Azzahra; Rangga Saputra; Ratna Atika
JURNAL TELISKA Vol 19 No 2 (2026): TELISKA Juli 2026
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/teliska.v19i2.11987

Abstract

The growth of water and land transportation traffic in Indonesia often causes conflicts on conventional bridges, especially in river areas frequently crossed by large vessels. This condition has the potential to cause accidents and disrupt traffic mobility. This study aims to design and implement a smart bridge control system based on Arduino Uno that can operate automatically to improve the safety and efficiency of lift bridge operations. The research employed a Research and Development (R&D) approach with a prototype method. The system utilizes Arduino Uno as the main microcontroller, HC-SR04 ultrasonic sensor to detect ships, SG90 servo motors as actuators for driving the bridge and barrier gates, along with a 16x2 LCD, traffic light module, and buzzer as indicators. The bridge opening and closing process is controlled automatically with a programmed safety sequence. The test results show that the system is able to detect vessels, provide early warnings, close the barrier gates, lift the bridge, and automatically return to normal conditions with good response. This system successfully minimizes human error and provides real-time information to road users through the LCD display and traffic lights.
PENGEMBANGAN SMART PARKING SYSTEM BERBASIS INTERNET OF THINGS DENGAN MONITORING REAL-TIME MENGGUNAKAN TELEGRAM DAN SEVENT SEGMENT DISPLAY UNTUK OPTIMALISASI MANAJEMEN PARKIR Tertia Dinata; M. Rafly Tarmansyah; Gustino Viyata Yudha; M. Fazril Sya'ban; Ratna Atika
JURNAL TELISKA Vol 19 No 2 (2026): TELISKA Juli 2026
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/teliska.v19i2.11989

Abstract

Perkembangan teknologi mendorong penerapan sistem yang lebih efisien dalam pengelolaan area parkir. Keterbatasan lahan parkir dan kurangnya sistem monitoring terintegrasi sering menyebabkan kesulitan dalam mengetahui ketersediaan slot parkir serta menimbulkan penumpukan kendaraan. Penelitian ini bertujuan untuk merancang dan membangun Smart Parking System berbasis Internet of Things (IoT) yang mampu menyediakan informasi ketersediaan parkir secara cepat dan akurat. Metode yang digunakan meliputi perancangan sistem, implementasi perangkat keras dan perangkat lunak, perakitan komponen, pembuatan program, serta pengujian kinerja sistem. Sistem memanfaatkan sensor ultrasonik untuk mendeteksi keberadaan kendaraan, mikrokontroler sebagai pengolah data, seven segment display sebagai media informasi lokal, dan aplikasi Telegram sebagai media monitoring jarak jauh. Hasil pengujian menunjukkan bahwa sistem berhasil menjalankan fungsi masuk dan keluar kendaraan, memperbarui informasi ketersediaan parkir, mengamankan akses pengguna, serta mengirimkan notifikasi melalui Telegram secara real-time. Dengan demikian, sistem yang dirancang dapat meningkatkan efektivitas pengelolaan parkir dan memudahkan pengguna dalam memantau ketersediaan parkir dari jarak jauh.
PENGEMBANGAN PROTOTIPE SISTEM PENDETEKSI KEBOCORAN GAS DENGAN MEKANISME MONITORING DAN PERINGATAN DINI ADAPTIF SECARA REAL-TIME Mudhiah Fadhilah Rahmah; Naurah Zalfa Aqiila; M. Pasha Hadi Pratama; Muhammad Dzaki Fauzan; Ratna Atika
JURNAL TELISKA Vol 19 No 2 (2026): TELISKA Juli 2026
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/teliska.v19i2.11996

Abstract

The use of Liquefied Petroleum Gas (LPG) as a household fuel continues to increase due to its practicality and efficiency. However, the use of LPG also poses a risk of gas leakage, which may lead to fires or explosions if not detected at an early stage. This study aims to design and develop a gas leakage detection system prototype based on Arduino Uno using an MQ-2 sensor in a miniature kitchen environment. The research employed a prototype development method, including hardware design, system programming, and device testing. The prototype was designed as a miniature room measuring 40 cm × 35 cm × 27 cm and equipped with an MQ-2 sensor, a 16×2 LCD, LEDs, a buzzer, servo motors, and a DC fan. The test results showed that the MQ-2 sensor was capable of detecting gas leakage effectively based on changes in sensor readings. At sensor values of 0–99, the system remained in a safe condition, indicated by the green LED being active while all actuators remained inactive. Meanwhile, at sensor values of 100–400, the system detected gas leakage and automatically activated the red LED, buzzer, DC fan, and servo motors to open the room ventilation. The LCD also successfully displayed real-time system status information. Based on the testing results, the developed prototype was able to detect gas leakage and provide automatic responses as an initial mitigation effort to improve household safety. Keywords: LPG Gas Leakage, MQ-2 Sensor, Arduino Uno, Gas Detection System, Household Safety
PENGEMBANGAN PROTOTIPE SMART WATER TANK BERBASIS INTERNET OF THINGS DENGAN SISTEM DUAL TANK DAN FILTRASI OTOMATIS UNTUK MONITORING ADAPTIF KETINGGIAN DAN KUALITAS AIR Nayla Putri Iman; Masagus Rifky Rianggi; Prastya Wicaksana; Ismajuanti; Ratna Atika
JURNAL TELISKA Vol 19 No 2 (2026): TELISKA Juli 2026
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/teliska.v19i2.11997

Abstract

The availability of sufficient and high-quality water is essential in daily life. However, monitoring water levels and water quality in storage tanks is still commonly performed manually, making the process less efficient and potentially causing delays in water refilling and the use of unsuitable water. The development of Internet of Things (IoT) technology enables water monitoring and control to be carried out automatically and in real time. This study aims to design and develop an IoT-based Smart Water Tank system using a dual-tank concept to monitor water levels and water quality automatically. The methods employed include system design, ESP32 programming, integration of water level and turbidity sensors, and system testing. The test results showed that at water volumes of 0–500 mL, the pump was activated to fill the tank. When turbid water was detected at 1000–1500 mL, the filtration system was activated automatically. At 2000 mL, the pump and filter stopped operating because the tank was full and the water was clear. Monitoring data could also be accessed in real time through Google Spreadsheet. The developed system integrates automatic water monitoring and management to improve the efficiency of water storage management.Key words : Smart Water Tank, Internet of Things, ESP32, Water Level Sensor, Turbidity Sensor.
PERANCANGAN DAN ANALISIS JARINGAN 4G LTE PADA KOTA MALANG MENGGUNAKAN SOFTWARE ATOLL Nurhajar Anugraha; Fitri Ramadani; Neza Rismana Putri; Randy Angriawan; Andi Maulidinnawati Abdul Kadir Parewe; Asrul; Andi M. Yusuf
JURNAL TELISKA Vol 19 No 2 (2026): TELISKA Juli 2026
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/teliska.v19i2.12376

Abstract

Perkembangan layanan komunikasi bergerak menyebabkan kebutuhan terhadap jaringan seluler dengan kualitas layanan yang baik semakin meningkat. Kota Malang merupakan salah satu wilayah perkotaan dengan tingkat aktivitas komunikasi yang tinggi sehingga memerlukan perencanaan jaringan yang optimal. Penelitian ini bertujuan untuk merancang jaringan LTE 2100 MHz di Kota Malang menggunakan software Atoll. Metode yang digunakan meliputi perhitungan Link Budget, Effective Isotropic Radiated Power (EIRP), Maximum Allowable Path Loss (MAPL), radius sel, luas cakupan, serta jumlah BTS yang dibutuhkan. Hasil perhitungan teoritis menunjukkan nilai EIRP sebesar 61 dBm, MAPL sebesar 153 dB, luas cakupan rata-rata sebesar 2,12 km² per BTS, dan kebutuhan sebanyak 52 site BTS untuk melayani seluruh wilayah Kota Malang seluas 110,06 km². Hasil simulasi menggunakan software Atoll menunjukkan kesesuaian dengan hasil perhitungan teoritis, yaitu jumlah BTS sebanyak 52 site dengan cakupan rata-rata 2,12 km² per site. Nilai rata-rata RSRP yang diperoleh sebesar -115,98 dBm, throughput teoritis sebesar 20,57 Mbps, serta BLER sebesar 5% yang masih berada dalam kategori baik. Hasil penelitian menunjukkan bahwa perencanaan jaringan LTE 2100 MHz menggunakan software Atoll mampu memberikan cakupan layanan yang memadai pada wilayah Kota Malang. Masalah yang sering dihadapi adalah keterbatasan coverage area dari Base Transceiver Station (BTS) sehinggatidak semua area dapat tercakup oleh jaringan 4G .

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