Claim Missing Document
Check
Articles

Amplitude-Based Statistical Filtering Method for Resonance Localization in Low-Cost Acoustic Sensing Systems Feri Iskandar; Ibnu Anugrah; Deosa Putra Caniago; Yopy Mardiansyah; Galang Mario Alpindra
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 3 (2026): Article Research July 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i3.16311

Abstract

Acoustic resonance experiments using closed organ pipes are widely used to study the relationship between sound frequency, wavelength, and air-column length. However, low-cost sensor-based systems often produce unstable acoustic signals contaminated by environmental noise, amplitude fluctuations, and sensor-response variability, making resonance identification difficult. This study aims to develop and evaluate an amplitude-based statistical filtering method to improve signal stability and determine the fundamental resonance position more accurately. The proposed method was evaluated using a closed organ pipe experiment integrated with an acoustic sensor and microcontroller-based data acquisition system. Acoustic signals were processed using amplitude-based statistical filtering to extract dominant resonance responses and improve resonance localization. Statistical evaluation was conducted to analyze signal stability and measurement accuracy. The results showed that the filtering process reduced the standard deviation from 9.24 cm in the raw dataset to 6.72 cm in the final resonance candidates, indicating improved resonance localization stability. The experimental resonance length obtained after filtering was 16.12 cm, while the theoretical resonance length was 16.75 cm, resulting in a relative error of 3.76%. These findings demonstrate that the proposed filtering method can improve resonance detection accuracy using a simple, practical, and computationally efficient approach suitable for low-cost educational laboratory systems.
Penerapan AkuLeleTech Berbasis IoT untuk Kemandirian Pangan Anak Asuh di Panti Asuhan Islahul Ummah Batam Yopy Mardiansyah; Deosa Putra Caniago; Muhammad Jufri; Razan Muhammad Railis; M. Fikri Mulyana; Febby Oktafebrian
Jurnal SOLMA Vol. 15 No. 2 (2026)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v15i2.23285

Abstract

Pendahuluan: Ketahanan pangan di perkotaan menghadapi kendala keterbatasan lahan dan ketergantungan pangan. Oleh karena itu, diperlukan inovasi budidaya pangan berbasis IoT yang efisien dan berkelanjutan. Studi ini bertujuan untuk meningkatkan kemandirian pangan dan keterampilan anak asuh melalui penerapan sistem AkuLeleTech berbasis Internet of Things (IoT). Metode: Identifikasi kebutuhan mitra melalui observasi dan diskusi, pelatihan dan praktik pengolahan pisang menjadi keripik, tepung pisang, cookies MPASI, selai, dan susu pisang, pendampingan pengemasan dan penyusunan identitas merek, serta pelatihan pemasaran digital melalui media sosial, WhatsApp Business, dan marketplace. Hasil: Adanya peningkatan pengetahuan peserta dari rata-rata skor pretest 50,0% menjadi 82,0% dengan t-hitung = 96,0 dan p-value = 7,32 × 10⁻¹⁵. Kesimpulan: Program ini berhasil memanfaatkan teknologi IoT sebagai solusi ketahanan pangan berbasis masyarakat dan dapat mewujudkan kemandirian pangan yang berkelanjutan.
Co-Authors Abdurrahman Ridho Agung Saputra Alhamidi, Alhamidi Ananda Hilmy Andian, Muhamad Andian Saputra Andrian Syah Antony, Antony Anugrah, Ibnu Ariana Tulus Purnomo Arvy Kurnia Ramadhan Aryo Pratama, Bimo Assaidatul Husna Azua Ramadhan candra, joni eka Damanik, Evi Maryati Faradibah Jabnabillah Febby Oktafebrian Feri Iskandar Fernandi Lucky Putra Frengki Hotsabar Parmonangan Simatupang Friadi, John Galang Mario Alpindra Handayani, Vitri Aprilla Hanif Sumardi Harahap, Widiya Lestari Hendri Kremer Hernando, Luki Hilmy, Ananda Husna, Assaidatul I Gusti Bagus Agung Dharmaya Jeremy Andika Julius Santony Kadek Jemmy Waciko Kevin Antony Kremer, Hendri Kurnia, Okki M Abrar Masril M. Abrar Masril M. Fikri Mulyana maranti Mardiansyah, Yopy Mardiansyah, Yopy Maria Yosefina Meinadia Sekar Kinanti Aswirawan Masril, M. Abrar Masril, Muhammad Abrar Mhd Adi Setiawan Aritonang Mhd Adi Setiawan Aritonang Mohd Rizki Muhammad Abrar Muhammad Abrar Muhammad Abrar Masril Muhammad Abrar Masril Muhammad Jufri Muhammad Jufri Muhammad Jufri Muhammad Jufri Muhammad Jufri Muhammad Nazwan munir, Zainul Munir Nabilah Nabilah Nadia Widari Nasution Nafis Sjamsuddin, Irfan Najirah Umar Nalendra, Muhammad Adi Sukma Natasya Nur Hadi Noviardi, Refli Nurcholiq, Rini Nurul Ilmi Pakpahan, Sindy Silvia Soarta Rafsanjani, Ali Rifqi Razan Muhammad Railis Reant Egie Fahruddini Reva Unieq Faizila Ria Sapitri Rifa’atul Mahmudah Burhan Rini Nurcholiq Samuel Candra Sapitri, Ria Septiana, Reski Simatupang, Devid Trinaldo Sriwanti Belani Sulthony, M Rachmat Sumijan Sunarsono, Hery Surgiwe Lim Susyantika, Salsabila Adine Syah, Andrian Tan, Vincent Veranny Arianty Putri Viriya Marhan Cunis Widiya Lestari Harahap Yopy Mardiansyah Yudhistira Andilie