Claim Missing Document
Check
Articles

Performance Evaluation of IIR and FIR Filters Using Windowing Techniques for EEG Dewanta, Aurellio Indra; Arhinzah, Fillah; Atho'Illah, Muhammad Wildan; Indah Kusumawati, Weny; Puspasari, Ira
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.
Pelatihan IoT Berbasis ESP32 untuk Mendukung P5 Siswa Kelas 8 SMPN 2 Taman Sidoarjo Heri Pratikno; Pauladie Susanto; Harianto Harianto; Weny Indah Kusumawati
Aksi Kita: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 3 (2026): MEI-JUNI
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/rmxrma72

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi siswa kelas 8 SMPN 2 Taman Sidoarjo dalam bidang teknologi Internet of Things (IoT) melalui pelatihan pembuatan sistem monitoring suhu dan kelembaban berbasis ESP32 yang dilengkapi dengan fitur alarm otomatis. Permasalahan mitra berupa keterbatasan pengetahuan teknis siswa dalam mengimplementasikan perangkat sensor digital DHT22, pemrograman mikrokontroler, serta pengiriman data real-time ke smartphone melalui protokol MQTT. Metode pelaksanaan kegiatan meliputi empat tahap: diskusi kebutuhan mitra, pembuatan perangkat sistem monitoring, pelaksanaan pelatihan, serta serah terima perangkat kepada pihak sekolah. Pelatihan diintegrasikan ke dalam Proyek Penguatan Profil Pelajar Pancasila (P5) dengan tema TEBAS (Teknologi Berbasis Aplikasi untuk Sekolah Adiwiyata). Hasil kegiatan menunjukkan bahwa peserta mampu memahami dan mengoperasikan sistem monitoring suhu dan kelembaban secara mandiri melalui aplikasi IoT MQTT Panel di smartphone, serta sistem alarm buzzer aktif ketika suhu melampaui ambang batas yang ditentukan. Hasil angket menunjukkan tingkat kepuasan peserta yang tinggi, dengan mayoritas responden memberikan penilaian Sangat Setuju pada seluruh indikator evaluasi. Keberhasilan program ini diperkuat oleh tersedianya modul panduan pelatihan dan keberlanjutan kerja sama antara SMPN 2 Taman Sidoarjo dengan Universitas Dinamika.  
Perancangan dan implementasi sistem kontrol serta monitoring suhu dan kelembapan pada inkubator fermentasi tempe menggunakan metode PID Weny Indah Kusumawati; Wishnu Haryo Bhimantoro; Harianto; Pauladie Susanto
INFOTECH : Jurnal Informatika & Teknologi Vol 7 No 1 (2026): INFOTECH: Jurnal Informatika & Teknologi
Publisher : LPPMPK - Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/infotech.v7i1.2387

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem kontrol serta pemantauan suhu dan kelembapan pada inkubator fermentasi tempe berbasis Internet of Things (IoT) dengan menggunakan mikrokontroler ESP32 dan algoritma PID (Proportional Integral Derivative). Masalah utama dalam produksi tempe tradisional adalah durasi fermentasi yang tidak menentu akibat ketergantungan pada fluktuasi suhu lingkungan alami. Sistem yang dikembangkan mengintegrasikan sensor DHT22, modul AC dimmer untuk pengaturan daya lampu pijar secara halus, serta mist maker dan kipas DC untuk manajemen kelembapan otomatis. Selain itu, protokol MQTT diaplikasikan untuk memfasilitasi pengawasan kondisi internal secara real-time melalui aplikasi seluler tanpa memerlukan intervensi fisik. Hasil pengujian menunjukkan bahwa parameter PID optimal (Kp=700, Ki=10, Kd=30) mampu mempertahankan stabilitas suhu pada set point 350C dengan steady-state error yang sangat rendah sebesar 0,2%. Analisis statistik terhadap lima batch eksperimen membuktikan bahwa penggunaan inkubator ini secara signifikan mampu mempercepat durasi fermentasi menjadi rata-rata 20,2 jam, atau 23,5% lebih cepat dibandingkan metode alami yang membutuhkan waktu 26,4 jam. Evaluasi kualitas fisik menunjukkan bahwa tempe yang dihasilkan memiliki kepadatan miselium yang lebih tebal, warna putih cerah yang seragam, serta tekstur yang lebih kokoh. Dengan demikian, integrasi kontrol presisi PID dan teknologi IoT tidak hanya meningkatkan efisiensi waktu produksi, tetapi juga menjamin konsistensi kualitas hasil fermentasi bagi industri rumah tangga. Penelitian ini memberikan kontribusi nyata dalam penyediaan teknologi tepat guna bagi pengrajin tempe untuk menghadapi variasi kondisi lingkungan eksternal yang fluktuatif.
Delay Analysis in Zigbee Wireless Communication for Manipulated Data and Finger Clip Sensor Data Using Xbee Pro S2C Musayyanah; Pauladie Susanto; Weny Indah Kusumawati
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i2.149

Abstract

Wireless Personal Area Networks have battery powered, low data rate, and low cost, that have been researched invarious fields, like Xbee Pro S2C. It can build mesh network, consist of Coordinator, Router and End Device. Xbeecan perform point to point and multipoint communication. We evaluate delay performance and data loss for bothcommunication at indoor environment, to get Xbee’s successful transmission rate. This transmission sent themanipulated data and data from sensor finger clip by End Device Node as Tranmitter to Coordinator Node asReceiver. This data is sent with different interval time, 8ms for manipulated data and 500 ms for data finger clipsensor. Definition of Delay is the difference of difference of time between first data sent and first data received.From manipulated data measurement the delay of point to point is 1,17 seconds, whereas multipoint gets 1,332seconds. For delay data finger clip measurement of multipoint is 1,34 seconds. While data loss occur in multipointcommunication, for data finger clip measurement get the loss 53,33 % and 46,67% in random quartile of data, andfor manipulated data get 3,56 % loss.
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.