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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Techno.Com: Jurnal Teknologi Informasi Jurnal JSIKA Journal JCONES Jurnal Teknologi Informasi dan Ilmu Komputer JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Abadimas Adi Buana Majalah Ekonomi Prosiding Seminar Nasional Sains dan Teknologi Terapan Multitek Indonesia : Jurnal Ilmiah Jurnal Leverage, Engagement, Empowerment of Community (LeECOM) ASAWIKA: Media Sosialisasi Abdimas Widya Karya Journal of Advanced in Information and Industrial Technology (JAIIT) Infotech: Jurnal Informatika & Teknologi Journal of Computer, Electronic, and Telecommunication (COMPLETE) Society : Jurnal Pengabdian dan Pemberdayaan Masyarakat Journal of Technology and Informatics (JoTI) Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Informasi Universitas Dinamika Society: Jurnal Pengabdian Masyarakat Journal of Innovation Research and Knowledge MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Literasi: Jurnal Pengabdian Masyarakat dan Inovasi JEECS (Journal of Electrical Engineering and Computer Sciences) MDP Student Conference Jurnal Rekayasa elektrika EKOBIS ABDIMAS : Jurnal Pengabdian Masyarakat Aksi Kita: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Elektro TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Weny Indah Kusumawati
Universitas Dinamika
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Nursing Public Health Social Sciences Veterinary Other

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System design for turbidity control in aquaponic ponds Aditya Aprilianto; Weny Indah Kusumawati; Harianto; Heri Pratikno
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 12 No 2 (2025): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v12i2.1547

Abstract

Aquaculture is fish farming, and hydroponics is the cultivation of plants/vegetables without soil, which means utilizing water and growing media. Aquaponic systems are a combination of fish farming (aquaculture) and soil-less plant/vegetable farming (hydroponics), creating a mutually beneficial relationship. This research aims to design and implement an automated system capable of monitoring and controlling the water turbidity level in aquaponic ponds using the SEN0189 sensor integrated with the Internet of Things (IoT) platform. The developed system utilizes a turbidity sensor, float switch, NodeMCU ESP8266 microcontroller, and connection to the Firebase cloud to enable real-time remote monitoring. The control logic in the system is designed to be able to take automatic water draining and filling actions based on the detected turbidity level parameters. Tests were conducted 98 times, showing a sensor success rate of 92% with 8% non-conforming readings due to program logic mismatches. The tests also revealed the significant influence of environmental lighting, where sensor results at night showed higher values despite clear water conditions. In addition, the system successfully avoided overlapping processes between draining and filling, with an operational success rate of 100% in the overall device test. The results show that the system is effective and reliable for maintaining water quality in aquaponic systems, as well as providing users with the convenience of remotely monitoring and managing water conditions through an IoT connection. This system can be an efficient alternative solution to support the success of fish and plant farming in household and commercial scale aquaponics.
Performance Evaluation of IIR and FIR Filters Using Windowing Techniques for EEG Aurellio Indra Dewanta; Fillah Arhinzah; Muhammad Wildan Atho'Illah; Weny Indah Kusumawati; Ira Puspasari
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.15503

Abstract

Electroencephalogram (EEG) signals are highly susceptible to noise artifacts such as muscle activity, eye blinks, and power-line interference, which degrade signal quality and analysis accuracy. Digital filtering is therefore essential to preserve the EEG frequency band of interest (0.5–40 Hz) while suppressing unwanted components. This study presents a systematic comparison of Finite Impulse Response (FIR) and Infinite Impulse Response (IIR) filters for EEG signal denoising. FIR filters were implemented using Hamming, Hann, and Blackman window methods, whereas IIR filters included Butterworth, Chebyshev type I, Chebyshev type II, and Elliptic designs. All filters were applied to the same EEG signal under identical conditions. Performance was evaluated using visual inspection and Signal-to-Noise Ratio (SNR) analysis, followed by pole–zero stability assessment of the best-performing filters. The results show that FIR filtering achieved a higher SNR improvement (11.0 dB) than IIR filtering (8.61 dB), indicating superior noise suppression and stability for EEG signal processing.
Blocking Delay Effects on Microcontroller Speed and Responsiveness in Industrial IoT Devices: A Systematic Review Pauladie Susanto; Weny Indah Kusumawati; Harianto Harianto; Heri Pratikno; Herru Prastyo
Journal of Technology and Informatics (JoTI) Vol. 8 No. 1 (2026): Vol. 8 N. 1 (2026)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v8i1.1347

Abstract

This review synthesizes research on the impact of blocking delay on microcontroller speed and responsiveness in IoT devices for industrial automation. It evaluates blocking delay effects on microcontroller performance. The review benchmarks scheduling and edge computing techniques, identifies mitigation strategies, compares case study outcomes, and analyzes architectural and software factors influencing blocking delay. A systematic analysis of experimental, simulation, and co-design studies was conducted. The analysis focused on real-time scheduling, interrupt handling, network-induced latency, and edge computing integration. Key findings reveal that advanced scheduling algorithms and interrupt nesting significantly reduce blocking delays and improve task responsiveness. Edge computing and hardware optimizations also minimize network-induced latency and enhance local processing capabilities. Multiple sources of blocking delay, including resource contention and network overload, are mitigated through adaptive scheduling and hardware-assisted mechanisms. Real-world case studies confirm substantial latency reductions and improved control performance in industrial IoT contexts. These findings underscore the interplay of software and hardware factors in shaping microcontroller responsiveness. The review highlights the necessity for scalable, integrated solutions that address dynamic industrial environments. It informs the design of more responsive and efficient microcontroller-based IoT systems for industrial automation.
PENERAPAN SMART INDOOR FARMING HIDROPIK (SISTEM HIPOI VERSI 2.0) PADA TANAMAN SELADA Musayyanah Musayyanah; Weny Indah Kusumawati; Rizal Rahmat Maulana; Fahrul Teddy Pradana
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 28, No 3 Juli (2026): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.28.3.157-166

Abstract

Smart Indoor Farming adalah salah satu solusi pada pertanian kovensional di era Agriculture 4.0. Salah satu penerapan teknolologi Internet of Things (IoT) mampu mempermudah penerapan hidroponik indoor.  Sistem HIPOI versi 2.0 merupakan pengembangan inovatif pada metode hidroponik indoor berbasis teknologi IoT. Penelitian ini bertujuan untuk mengoptimalkan kinerja sensor nutrisi menggunakan metode tapis median, meningkatkan akurasi pencahayaan dengan growlight putih, serta menerapkan otomatisasi pemberian nutrisi melalui pompa pengaduk dan nutrisi. Hasil pengujian menunjukkan bahwa penggunaan filter median secara signifikan meningkatkan akurasi sensor nutrisi hingga 13,66% pada larutan air mineral dan 1,06% pada larutan campuran nutrisi. Lampu growlight putih memberikan hasil pertumbuhan tanaman selada terbaik dibandingkan spektrum lainnya, dengan daun yang lebih lebat dan lebar. Implementasi pompa nutrisi otomatis yang didukung pompa pengaduk berhasil mencampur nutrisi secara efisien, dengan nilai error sensor di bawah 5%. Sistem HIPOI versi 2.0 juga berhasil diterapkan untuk menumbuhkan tanaman selada dengan hasil yang sehat dan stabil. Temuan ini membuktikan bahwa teknologi ini memberikan solusi praktis dan efektif untuk pertanian cerdas di era Agriculture 4.0.
Lighter as flame control and temperature control in milk pasteurization system Rizky Alief Febriansyah; Weny Indah Kusumawati; Harianto; Pauladie Susanto
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 3 (2023): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v13i3.115-129

Abstract

Milk pasteurization involves heating milk at a specific temperature below its boiling point as a method to keep the resulting dairy product retaining the shape and taste characteristics of fresh milk. In several experiments, the use of fuzzy control systems has been tested to regulate the temperature in the milk pasteurization process and to time the ignition of the stove flame. However, this fuzzy approach still causes the system to give an unstable response and irregular stove flame. In order to study milk pasteurization, the Low Temperature Long Time (LTLT) method is used which is implemented automatically through a PID control system. This method serves to maintain nutritional quality by keeping the pasteurization temperature at a setpoint of 62°C. This control involves the use of servo actuators and electric lighters that are automatically regulated with the help of flame sensors. The flame sensor detects the presence of flame and ensures that the flame remains lit throughout the pasteurization process. At the end of the process, the flame sensor plays a role in breaking the flame by setting a certain threshold. This sensor operates within 10 CM of the flame source and will produce an analog output with a maximum value of 4000 when the flame is lit. When the flame is extinguished, the analog output of the sensor will reach a value of 4095. Testing of the milk pasteurization automation system is given a value for each PID resulting from the value of Kp = 31.8, Ki = 115.6, Kd = 4.4 and obtained a rise time value of 0.39 minutes, 0.61%, settling min of 60.88, and settling max of 62.38.
Monitoring and temperature control system for fish farming in an IOT-based bucket using an android application Abdul Yazid; Weny Indah Kusumawati; Harianto; Pauladie Susanto
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 2 (2024): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i2.50-65

Abstract

This study seeks to create and implement an Internet of Things (IoT)-based system for monitoring and controlling temperature in fish farming within a bucket (Budikdamber) using temperature sensors. The main focus is to set the optimal temperature range for catfish farming in the Budikdamber, ensuring environmental conditions that suit the needs of catfish. Automatic controls are integrated to keep the water temperature in the bucket within the desired range. The system is also capable of automatically activating or deactivating devices such as the Peltier, lights, filling pump, and draining pump to achieve the appropriate temperature. In the test using a 50-litre bucket, a thorough evaluation and testing showed that the DS18B20 temperature sensor had an error rate of 0.8826%, while the Ultrasonic sensor had an error rate of 0.737%. Nonetheless, the other components in the device operate optimally with performance levels reaching 100%, according to their functions. Testing of the Android App on this device achieved an accuracy rate of 100%, indicating that this device can be effectively monitored and controlled remotely through the Android App. The conclusion of this research provides insight into the performance of temperature sensors, system optimization, and the effectiveness of remote control using Android Apps in the context of fish farming.  
Co-Authors - Harianto Abdul Yazid Adisaputra Zidha Noorizki Aditya Aprilianto Anugraha, Muh Redha Arif Wicaksono Atthaariq Maulana, Muhammad Aurellio Indra Dewanta Ayu, Stephanie Astrid Charisma Dimas Affandi Charisma Dimas Affandi Charisma Dimas Affandi Christianto, Edo Dwi Daniel Tanugraha, Filbert Dewanto, Arief Rizki Diano Alfayied Fissabillillah Eka Sari Oktarina Ernawati, Fifin Fahrul Teddy Pradana Fakhruddin, Muhammad Aldi Febriliana, Ridha Fifin Ernawati Fillah Arhinzah Fredi Wakerkwa Harianto Harianto Harianto Harianto Harianto Harianto Harianto Heri Pratikno Herru Prastyo Ira Puspasari Ira Puspasari Ira Puspasari Jaya, Toni Setiawan Jusak Jusak Jusak Jusak Malik, Alief Nurul Muh Redha Anugraha Muh. Bahruddin Muhammad Wildan Atho'Illah Musayyanah Musayyanah Musayyanah Musayyanah Noorizki, Adisaputra Zidha Pauladie Susanto Pauladie Susanto PERMANA, ZENDI ZAKARIA RAGA Phompi Andinata Praktikno, Heri Putri Fatimah Zahra Al-Gadri Rizal Rahmat Maulana Rizky Alief Febriansyah Sulistiowati Sulistiowati Sulistiowati Sulistiowati Sulistiowati Sulistiowati Sulistiowati, Sulistiowati Wangi, Mega Pandan Wicaksono, Arif Wicaksono, Arif Wishnu Haryo Bhimantoro Wiyono, Reynaldi Arfian Agus Yazid, Abdul Yosia Pradeska Admaja Yunanto Tri Laksono, Yunanto Tri