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Pemantauan Dan Pengendalian Pintu Air Berbasis Komunikasi Radio Full Duplex Dengan Algoritma Decision Tree Kurniawan, Asep; Hermawan, Indra; Agustin, Maria
MULTINETICS Vol. 9 No. 1 (2023): MULTINETICS Mei (2023)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v9i1.5156

Abstract

Provision, management and distribution of water on agricultural land is one of the important factors that affect the quantity and quality of agricultural products. An irrigation canal technology is needed that is able to flow through all agricultural land according to the water needs of each land. Smart irrigation systems can be a solution to this problem. The smart irrigation technology that was previously developed has several limitations such as the length of time data transmission takes to reach the client, sensor devices in the field must take turns sending data and receiving data resulting in data not being sent or not being read properly, besides that the system that has been developed previously depends on to one factor, namely the water level to determine the degree of openness of the floodgates. In this research a fast sensor to cloud communication system is designed using websocket technology. This system is also designed to send and receive data simultaneously using full duplect communication technology. As well as using artificial intelligence with the decision tree algorithm to regulate the openness of the floodgates based on the water requirement for the rice fields, the water level in the irrigation canals and the speed of the water flow. This research produced a prototype of an intelligent irrigation system that can send data to clients with an average time of 417ms, the system is also able to handle 500 clients that are connected directly to the server. The system can also send and receive data simultaneously with a difference in time when data is received at the sensor node or at the central node which can reach 0ms. This prototype also succeeded in making an artificial intelligence system that is accurate, fast and real-life. This artificial intelligence can handle 500 requests simultaneously with an execution time of 544ms.
Denoising Ambulatory Electrocardiogram Signal Using Interval Dedependent Thresholds based Stationary Wavelet Transform Hermawan, Indra; Sevani, Nina; F. Abka, Achmad; Jatmiko, Wisnu
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.2428

Abstract

Noise contamination in electrocardiogram (ECG) monitoring systems can lead to errors in analysis and diagnosis, resulting in a high false alarm rate (FAR). Various studies have been conducted to reduce or eliminate noise in ECG signals. However, some noise characteristics overlap with the frequency range of ECG signals, which occur randomly and are transient. This results in shape alteration and amplitude reduction in P and R waves. The author proposed a framework for eliminating noise in ECG signals using the stationary wavelet transform method and interval-dependent thresholds (IDT) based on the change point detection method to address these challenges. The proposed framework decomposes the input electrocardiogram (ECG) signal at a specific level using the Stationary Wavelet Transform method, resulting in detail and approximation coefficients. Interval detection focuses on the initial detailed coefficient, d1, chosen due to its significant content of noise coefficients, especially high-frequency noise. Subsequently, threshold values are computed for each interval. Hard and soft thresholding processes are then applied individually to each interval. Finally, reconstruction occurs using the inverse stationary wavelet transform method on the threshold coefficient outcomes. Two measurement matrices, root mean square error (RMSE) and percentage root mean squared difference (PRD), were used to measure the performance of the proposed framework. In addition, the proposed framework was compared to stationary wavelet transform (SWT) and discrete wavelet transform (DWT). The test results showed that the proposed method outperforms DWT and SWT. The proposed framework obtained an average increase in RMSE scores of 18% and 45% compared to the SWT and DWT methods, respectively, and PRD values of 17% and 37% compared to the SWT and DWT methods, respectively. So, using IDT in the stationary wavelet transform method can improve the denoising performance. With the development of this new framework for denoising ECG signals, we hope it can become an alternative method for other researchers to utilize in denoising ECG signals.
PEMANFAATAN TEKNOLOGI INFORMASI DI BANK SAMPAH KAMPUNG RAMAH LINGKUNGAN KAMPOENG BERSERI, KECAMATAN CILEUNGSI, KABUPATEN BOGOR Matin, Iik Muhamad Malik; Iswara, Ratna Widya; Kadarwati, Dinda; Oktivasari, Prihatin; Zain, Ayu Rosyida; Agustin, Maria; Arnaldy, Defiana; Hermawan, Indra
Jurnal Abdi Insani Vol 11 No 2 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i2.1285

Abstract

Program bank sampah di KRL Kampoeng Berseri merupakan upaya pemanfaatan sampah sebagai nilai ekonomi. Namun pengelolaan tabungan yang masih dilakukan secara manual sehingga petugas dirasa sulit ketika warga tidak membawa catatan. Akibatnya, tabungan yang terkumpul diambil saat itu juga sehingga warga disekitar kurang mendapatkan manfaat. Hal ini menyebabkan antusias nasabah bank sampah di Kampoeng Berseri menurun sehingga program bank sampah tidak berjalan secara optimal. sehingga perlu diterapkan teknologi informasi. Untuk itu, diterapkan teknologi informasi untuk pengelolaan tabungan sampah dan memberikan pelatihan teknologi informasi pengelolaan tabungan sampah pada pengurus bank sampah sebagai pengelola dan warga lingkungan KRL Kampoeng Berseri. Kegiatan Pengabdian ini dimulai dari persiapan dengan identifikasi masalah, menentukan solusi dan pengembangan aplikasi. Kemudian pelaksanaan yang teridri dari hibah dan pelatihan pada mengurus bank Sampah dan warga sekitar desa Limus Nunggal. Terakhir, evaluasi untuk mengukur hasil kegiatan pengabdian masyakarat. Berdasarkan hasil survei menunjukan pelaksanaan pengabdian dapat menigkatkan ketertarikan warga dalam menggunakan aplikasi. Selain itu warga juga menyatakan kegiatan pengabdian kepada masyarakat ini memiliki manfaat yang baik dan dapat diterapkan dalam kehidupan sehari-hari dan setuju untuk melanjutkan program pengabdian ini dimasa yang akan dating. Program pengabdian masyarakat berhasil memperbaiki pengelolaan tabungan sampah dengan teknologi informasi dan meningkatkan partisipasi serta dukungan warga untuk program tersebut.
Pemberdayaan Kelompok PKK Melalui Transformasi Tanaman Obat Keluarga Berbasis Annona muricata di Desa Lemoape, Kabupaten Bone Adiansyah, Romi; Asfat, M. Lutfi; Sudarmi, Sudarmi; Rahman, Nur Azizah; Hermawan, Indra; Muh. Amin, Astuti
Jurnal SOLMA Vol. 12 No. 3 (2023)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v12i3.13098

Abstract

Background: Tanaman sirsak (Annona muricata) merupakan komoditas potensial di Desa Lemoape, namun potensi ini kurang diberdayakan. Program ini bertujuan untuk memaksimalkan potensi Annona muricata melalui diversifikasi produk olahan daun Annona muricata menjadi sebuah produk berupa Natural Balm (Balsem Alami). Metode: pengabdian kepada masyarakat ini dilaksanakan melalui empat tahapan utama, yaitu persiapan, penyuluhan, pelatihan dan pendampingan. Hasil: program diperoleh mitra mampu meningkatkan pengetahuan dan keterampilan masyarakat tentang manfaat daun Annona muricata. Kesimpulan: Dampak pengabdian kepada masyarakat ini dapat meningkatkan kualitas kesejahteraan masyarakat dalam bidang kesehatan serta mewujudkan Sustainable Development Goals (SDGs) nomor tiga yaitu kehidupan sehat dan sejahtera.
Experimental Analysis of Cooling Fluid Temperature Effects on the Performance of a Thermoelectric Generator (TEG) Integrated with Heat Sink Hermawan, Indra; Lian Galed S.
JOURNAL OF MECHANICAL ENGINEERING MANUFACTURES MATERIALS AND ENERGY Vol. 9 No. 2 (2025): December 2025 Edition
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jmemme.v9i2.15512

Abstract

This study aims to experimentally analyze the effect of coolant temperature on the performance of a Thermoelectric Generator (TEG) combined with a finned aluminum heatsink. The TEG operates based on the Seebeck effect, where a temperature difference between the hot and cold sides generates electrical energy. The experiment employed six SP-1848 TEG modules arranged in series and mounted on a heatsink partially immersed in static water as a cooling fluid. Measurements were taken every 300 seconds for a total of 3600 seconds, monitoring parameters such as hot side temperature (Th), coolant temperature (Tc), voltage, and current, as well as calculated power and efficiency. The results showed that the increasing exposure time to solar heat gradually raised Th, while Tc increased more slowly. The resulting temperature difference (ΔT) directly contributed to an increase in electrical power output of more than 0.005 W, and TEG efficiency exceeding 14%. This study highlights the importance of thermal management through heatsinks and coolant fluids in optimizing TEG performance, particularly in small-scale renewable energy applications.
Design of Livestream Video System and Classification of Rice Disease Agustin, Maria; Hermawan, Indra; Arnaldy, Defiana; Muharram, Asep Taufik; Warsuta, Bambang
JOIV : International Journal on Informatics Visualization Vol 7, No 1 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.1.1336

Abstract

One of the agricultural products which is an important aspect of the life of Indonesian people is rice. Rice disease has a devastating effect on rice production, while detecting rice diseases in real-time is still difficult. Therefore, this study designed a Livestream video system that is equipped with a rice disease Classification system. The Livestream system utilizes 4G network communication and is assisted by the WebSocket protocol to communicate in real-time and for the rice disease Classification system using YOLO algorithm. In addition, Livestream uses the raspberry pi camera V2 to take video stream data. In analyzing the performance of the Livestream system, four tests were carried out, namely: functionality test, connectivity test, classification performance test, and implementation performance test. The test was carried out using the wireshark and conky tools, while the classification training used 5447 images from the Huy Minh do dataset that he provided on the Kaggle website. The results show that all programs run well and get a good QoS value according to the index of the parameter results, it is also found that sending non-base64 can reduce the size of the data to approximately 200,000 bytes/s and the performance of the classification system is good because it has an average accuracy of 80% even though it is quite burdening the raspberry pi. This system can still be optimized and developed further to support research in the field of data transmission and the performance of machine learning in a microcontroller.
Strengthening Environmental Education through IoT-Based Smart Trash Bins Hermawan, Indra; Yulianti, Susana Dwi; Malik Matin, Iik Muhamad; Zain, Ayu Rosyida; Wirawan, Chandra; Abidin, Iqbal Rizki; Azkiya, Satria Azkal; Bisawab, Muhammad Salman; Tuzahra, Alifia; Aldrine, Zefanya; Yudha, Muhammad Dhafa Ragana
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 7, No 4 (2025): NOVEMBER 2025
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v7i4.16150

Abstract

This community service program aimed to support environmental sustainability education by implementing a Smart Trash Bin system based on Internet of Things (IoT) technology at Sekolah Alam Indonesia, Cibinong. The initiative followed a structured Participatory Action Research (PAR) approach consisting of five stages: engagement, co-development, implementation, evaluation, and feedback. A technical team developed the system from Politeknik Negeri Jakarta. It integrated ultrasonic and load-cell sensors with ESP32 microcontrollers and wireless data transmission to enable real-time monitoring of waste volume and weight. In parallel, the Environmental and Forestry Agency (DLHK) of Depok City delivered a seminar on waste ecosystem management to improve knowledge among teachers and staff. Evaluation through pre- and post-test questionnaires showed that participants' knowledge scores enhanced from 13.78 to 15.61 (out of 17), while their environmental attitudes remained consistently high. This project demonstrates a scalable model for integrating technology and environmental education in schools
Co-Authors Abidin, Iqbal Rizki Adiansyah, Romi Agnita Yolanda, Agnita Albarofi Fierelio Kinandes Sumarsono Aldrine, Zefanya Amin, Astuti Muh Andi Reza Perdanakusuma, Andi Reza Ariawan Andi Suhandana Arijal, Muhamad Asep Kurniawan Asep Kurniawan Asep Taufik Muharram Asfat, M Lutfi Asfat, M. Lutfi Asmah Indrawati Ayu Rosyida Zain Azkiya, Satria Azkal Azzahirah, Syifa Bisawab, Muhammad Salman Bobby Umroh Cerah Ayunda Prawastiyo Darianto, Darianto Darwin, Felix Defiana Arnaldy Defiana Arnaldy Dian Noviandri Dimas Aulia Fachrudin Dimas Aulia Fachrudin Dipati Bangsa, Prianda Dula, Veronika Anjelina Eka Miharja, Mochamad Endang Sulistya Rini F. Abka, Achmad Fachroni Arbi Murad Fadil Azhar, Raden Muhammad Fiqryansyah, Muhammad Rizky Habib Satria Hanggara, Buce Trias Harahap, Uun Novalia Iik Muhamad Malik Matin Iswandi Iswandi Jufrizal Jufrizal Junio, Fazel Kadarwati, Dinda Kasim, Abdulah Muis Lian Galed S. M. Anwar Ma'sum Mardiyono, Anggi Maria Agustin Maria Agustin Marwan Marwan Muh. Amin, Astuti Muhammad Arlan Ardiawan Muhammad Idris Muhammad Idris Muhammad Yusuf Bagus Rasyiidin Mulyani, Meutia Tri Murad, Fachroni Arbi Nasution, Ahmad Syarif Nathanael, David Nina Sevani Nisrina Tsany Sulthanah paham ginting Prawastiyo, Cerah Ayunda Prihatin Oktivasari Putri, Audina Amalia Rachman Hanafi Rahman, Nur Azizah Ramadhan, Muh Syahru Ramadhan, Muhammad Bintang Ratna Widya Iswara, Ratna Widya Rauf, Faisal Risma Nuraini Rosyida, Ayu Sembiring, Beby Karina Fawzea Setianto, Bayu Dwi Seviro Bima Sakti, Calvin Sihombing, Verianto Situmorang, Syafrizal Helmi Sudarmi Sudarmi Suhandana, Ariawan Andi Sumarni Sumarni Supriatno, Supriatno Sutama, Muhammad Ilham Tampubolon, Rizky Taufik Wal Hidayat Tuzahra, Alifia Warsuta, Bambang Wibisono, Anggih Prasetyo Widya Iswara, Ratna Widyono, M. Farishanif wirawan, chandra Wisnu Jatmiko Yopan Rahmad Aldori Yudha, Muhammad Dhafa Ragana Zain, Ayu Rosyida