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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Elementer (Elektro dan Mesin Terapan) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Pengabdian Kepada Masyarakat dan Desa (PASSA) SNTE
Emansa Hasri Putra
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Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mechanical Engineering

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Pengiriman Data Surveillance Sensing Menggunakan Sistem Nirkabel Pada Frekuensi 433 MHz Untuk Kebakaran Hutan Muhammad Saputra; Rizadi Sasmita Darwis; Hamid Azwar; Emansa Hasri Putra
Jurnal Elektro dan Mesin Terapan Vol. 8 No. 1 (2022): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (363.749 KB) | DOI: 10.35143/elementer.v8i1.5230

Abstract

The fires that hit Indonesia in 2015 are considered one of the biggest environmental disasters of the 21st century so far. The World Bank estimates that the 2015 fire crisis cost Indonesia US$16 billion in forestry, agriculture, tourism and other industries. The smog causes respiratory and other illnesses in hundreds of thousands of people across the region. So far, efforts to mitigate forest and land fires have often been carried out by the government and the forest fire task force, starting from creating an early warning system, increasing community participation, and forest fire control techniques. However, all of these mitigation efforts are more dominantly carried out after forest and land fires have occurred. Whereas when a fire has occurred and the fire has grown bigger, fire mitigation efforts become more difficult and expensive because they have to involve helicopters to extinguish the fire from the air. So a land and fire mitigation effort requires one that is easy to use, fast and cheap to implement, and can reach a wider area than a forest area. The research aims to create a surveillance sensing system for forest fire for forest fire mitigation based on drone technology, and sensor technology. This research is an innovation and development of science and technology that is beneficial to the community, the forest fire task force and the local government. The research stages start from the design, manufacture, and design of a surveillance sensing system for forest fire in the Telecommunication Network laboratory. The output of this research is a prototype surveillance sensing system for forest fire. Test results within a certain time span indicate that the sensor is running well. All sensors used will show a change in value when a heat source and fire are detected. The average temperature sensor result is 72.34 C. While the dust particle sensor result is 665.45 g/m3 . And for air quality sensors the average is 0.225 ppm. For GPS sensor data it has 99.5% accuracy. which the Arduino reads before sending. The maximum delivery distance that can be used is 0-40 meters.
A novel energy-efficient dynamic programming routing protocol in wireless multimedia sensor networks Putra, Emansa Hasri; Satria, Muhammad Haikal; Azwar, Hamid; Rianda, Rendy; Saputra, Muhammad; Darwis, Rizadi Sasmita
Bulletin of Electrical Engineering and Informatics Vol 13, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i2.5855

Abstract

Wireless multimedia sensor networks (WMSNs) have characteristics that may influence the routing decisions, such as limited energy resources, storage and computing capacity. Therefore, a routing optimization needs to be done to match the characteristics of the WMSNs. Existing routing protocols only consider energy efficiency regardless of energy threshold, maximum energy, and link cost collectively as the primary basis of routing. In this work, the energy-efficient dynamic programming (EEDP) protocol is proposed to optimize routing decisions that take into account the energy threshold, the maximum energy, and the link cost. Then, the protocol is compared with the dynamic programming (DP), and the ant colony optimization (ACO) protocol. The simulation results show that the EEDP protocol can improve energy efficiency of nodes and network lifetime of the WMSNs. Then, the EEDP protocol is also implemented into a network topology of 10 NodeMCU ESP32 devices. As a result, the EEDP protocol can work very well by selecting routes based on nodes that have the remaining energy above 50 and has the shortest distance. The average delay in sending data for the entire route for the 10 iterations of sending data is 3.99 seconds.
Pelatihan Teknik Splicing Fiber Optik untuk Meningkatkan Kompetensi Siswa SMK Taruna Satria Sari, Indah Vusvita; Indani, Wira; Putra, Emansa Hasri; Banurea, Waldemar
Jurnal Pengabdian Kepada Masyarakat dan Desa Volume 2, Nomor 1, Juli 2024
Publisher : Politeknik Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51510/passa.v2i1.1661

Abstract

Sekolah Menengah Kejuruan (SMK) melaksanakan kurikulum teori dan praktik, dimana persentase kelas Pratik lebih besar dibandingkan kelas teori. Penerapan kurikulum ini yang menjadi pembeda dengan Sekolah Menengah Atas (SMA). Salah satu jurusan yang banyak diminati di SMK Taruna Satria adalah Teknik Komputer Jaringan (TKJ). Tantangan pihak sekolah dalam membekali siswa-siswi nya dengan banyak skill sehingga mampu bersaing dengan lulusan dari sekolah kejuruan lainnya adalah kurang nya beberapa kebutuhan alat praktikum. Hal ini disebabkan biaya alat yang mahal, khususnya untuk materi fiber optik. Maka dari itu, tim Pengabdian kepada Masyarakat Politeknik Caltex Riau ingin memberikan skill tambahan berupa Pelatihan Teknik Splicing Fiber Optik. Pelatihan ini diharapkan dapat meningkatkan kompetensi siswa SMK.
Alat Pendeteksi Kebisingan Suara Berbasis Internet of Things di Perpustakaan Soeman HS Wiwin Styorini; Nababan, Citra Yanti; Emansa Hasri Putra
Seminar Nasional Teknik Elektro Vol. 4 No. 1 (2025): SNTE III
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/snte.25.074

Abstract

Perpustakaan sebagai pusat sumber pengetahuan memerlukan suasana tenang untuk mendukung kegiatan belajar. Namun, kebisingan akibat aktivitas pengunjung sering mengganggu kenyamanan. Penelitian ini mengembangkan alat pendeteksi kebisingan berbasis IoT di  perpustakaan Soeman HS Pekanbaru menggunakan mikrokontroler Wemos D1 dengan konektivitas WiFi. Sistem ini memantau tingkat kebisingan melalui sensor suara analog dan memberikan peringatan berupa voice alert dan tampilan teks di LCD ketika melebihi ambang batas 55 dB. Hasil kalibrasi menunjukkan akurasi sensor dengan selisih 2,06 dB terhadap Noise Level Meter. Untuk optimalisasi kualitas audio, alat dirancang menggunakan enclosure kayu MDF dan menghasilkan suara yang jernih. Sistem juga mengirim notifikasi real-time ke Telegram, dengan delay yang bergantung pada bandwidth jaringan (50 Mbps) dan jumlah pengunjung di perpustakaan Soeman HS Pekanbaru.
Analisis Rekomendasi Media Promosi PPDB SMA Nurul Falah Pekanbaru dengan Algoritma K-Means Clustering Hidayat, Muhammad Taufiq; Emansa Hasri Putra; Dini Nurmalasari
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10499

Abstract

The advancement of information technology has significantly transformed how educational institutions conduct promotional activities and student admissions. The shift toward digital behavior among society requires schools to adopt more adaptive and data-driven marketing strategies. SMA Nurul Falah Pekanbaru, as one of the private high schools, has experienced a decrease in student enrollment after the Covid-19 pandemic. Conventional promotional methods such as banners, billboards, and printed brochures have proven less effective in reaching prospective students. This research aims to analyze the effectiveness of promotional media based on student characteristics using the K-Means Clustering algorithm as a segmentation method. The dataset was obtained from three years of PPDB registration records, including demographic, socioeconomic, school origin, and promotion media information. The analysis process involved several stages, namely data preprocessing, exploratory data analysis (EDA), determination of the optimal number of clusters using the Elbow and Silhouette methods, and the development of a web-based recommendation system using Python, PHP, and MySQL. The results indicate that the optimal number of clusters is k=4 with a Silhouette Score of 0.351. The four clusters represent distinct behavioral patterns in accessing educational information, with digital media emerging as the most effective channel. The developed recommendation system provides decision support for the school in designing promotional strategies that are more efficient, measurable, and accurately targeted through data analytics-based insights.
Co-Authors Azwar, Hamid Banurea, Waldemar Hamid Azwar Hidayat, Muhammad Taufiq Muhammad Haikal Satria Muhammad Saputra Nababan, Citra Yanti Nurmalasari, Dini Rianda, Rendy Rizadi Sasmita Darwis Rizadi Sasmita Darwis, Rizadi Sasmita Saputra, Muhammad Sari, Indah Vusvita Wira Indani Wiwin Styorini