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Matlab Simulation Using Kalman Filter Algorithm to Reduce Noise in Voice Signals Fitra Permana Putra; Kartika Kartika; Nanda Sitti Nurfebruary; Misriana Misriana; Kerimzade G. S; Ramdhan Halid Siregar
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i1.13687

Abstract

Sound signals polluted by noise are a common problem in various audio applications, including communication, sound processing, and audio recording. In this article, proposes the use of Kalman Filter algorithm as an effective method to reduce noise in speech signals. Simulations are performed using Matlab software to implement the Kalman Filter algorithm on noise polluted voice signals. The study includes several important steps, including the input of noise-polluted speech signals and the implementation of the Kalman Filter to clean the signals. Simulation results are measured using commonly used audio quality metrics, such as Signal-to-Noise Ratio (SNR) and Mean Square Error (MSE), to evaluate the effectiveness of the algorithm. The results from the simulations show that the use of the Kalman Filter algorithm significantly improves the quality of noise-contaminated speech signals. These results indicate that this algorithm can be a potential solution to the problem of noise reduction in audio applications. In addition, the implementation in the Matlab environment allows for easy testing and adaptation of this algorithm for different types of audio applications. This research makes a positive contribution to the development of more efficient noise reduction techniques in speech signal processing, focusing on the use of the Kalman Filter algorithm and its implementation using Matlab software. The implications of this research can be potentially beneficial in improving the quality of sound signals in various audio application contexts.
Peningkatan Literasi dan Keterampilan Teknis Masyarakat melalui Pendampingan Instalasi Panel Surya Skala Rumah Tangga Misbahul Jannah; Arnawan Hasibuan; Asran Asran; Kartika Kartika; Deassy Siska; Fahrian Roid
Jurnal Solusi Masyarakat Dikara Vol 5, No 3 (2025): Desember 2025
Publisher : Yayasan Lembaga Riset dan Inovasi Dikara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Keterbatasan akses listrik masih menjadi permasalahan utama di wilayah pedesaan terpencil, khususnya pada daerah dengan kepadatan penduduk rendah dan jarak yang jauh dari pusat perkotaan. Kondisi tersebut berdampak pada keterbatasan aktivitas rumah tangga, sosial, dan ekonomi masyarakat. Desa Saweuk, Kecamatan Kuta Makmur, Kabupaten Aceh Utara, merupakan salah satu wilayah yang menghadapi keterbatasan pasokan listrik konvensional akibat kendala geografis dan infrastruktur. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan literasi dan keterampilan teknis masyarakat melalui pendampingan instalasi dan pemeliharaan sistem panel surya skala rumah tangga. Metode pelaksanaan menggunakan pendekatan pendampingan teknis partisipatif yang meliputi identifikasi kondisi awal, perencanaan sistem panel surya off-grid, pelaksanaan instalasi sesuai standar teknik elektro, pelatihan pemeliharaan sistem, serta monitoring dan evaluasi. Hasil kegiatan menunjukkan peningkatan pemahaman masyarakat terhadap prinsip kerja panel surya, kemampuan melakukan instalasi dasar dan pemeliharaan rutin, serta meningkatnya keandalan akses listrik rumah tangga. Penerapan sistem panel surya skala rumah tangga terbukti mendukung kemandirian energi masyarakat dan meningkatkan kualitas hidup di wilayah pedesaan terpencil.
Temperature And Humidity Optimization To Add Save Life Strawberry (Fragaria chiloensis, L.) Kartika
International Journal of Science and Environment (IJSE) Vol. 2 No. 1 (2022): February 2022
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (518.308 KB) | DOI: 10.51601/ijse.v2i1.11

Abstract

This study aims to determine the appropriate temperature and humidity in the storage of strawberries, this research was carried out using 3 humidity treatments and 3 temperatures, namely humidity 65%, 75%, and 85% with a temperature of 10 oC, 15 oC, and room temperature, fruit fruit stored at room temperature lasts up to 3 days, while at 10 oC the fruit with 65% humidity treatment lasts up to 6 days, with 75% humidity for 6 days and with 85 % humidity it lasts for 7 days, at 15 oC the fruit with 65% humidity treatment lasts 5 days, with 75% humidity for 5 days and with 85% humidity lasts for 6 days, so based on research that has been done it is known that 85% humidity treatment with a temperature of 10 oC is the right storage for strawberries. The longest shelf life of strawberries is with a humidity treatment of 85% which is stored at 10 oC, which can extend the shelf life of 4 days longer when compared to storage at room temperature.
Sistem pengingat jadwal minum obat bagi penderita epilepsi ternotifikasi telegram Kautsar; Kartika Kartika; Jannah; Misriana Misriana
Jurnal Energi Elektrik Vol. 14 No. 2 (2025): Jurnal Energi Elektrik
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jee.v14i2.26033

Abstract

Medication adherence is a vital factor in the management of epilepsy patients to prevent recurrent seizures. However, manual monitoring methods are often ineffective and prone to human error. This study aims to design an automated medication reminder and leftover monitor system based on the Internet of Things (IoT). The system is built using a Load Cell sensor to detect weight changes in a syrup bottle or medication container, along with an ESP8266 microcontroller integrated with the Telegram API as a notification interface. The research methods include hardware design, development of a weight reduction detection algorithm, and sensor accuracy testing. Calibration testing results show that the system is capable of detecting medication intake activity based on the weight difference before and after consumption. From a series of tests, an average reading difference (error) of 3.9 grams compared to the original weight was obtained. This system successfully sends reminder notifications and alerts if the medication is not consumed, thus offering an effective remote monitoring solution for patient caregivers.