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Sink position analysis of energy efficiency in Wireless Sensor Network (WSN) using routing Stable Election Protocol (SEP) Kholidiyah Masykuroh; Afifah Dwi Ramadhani; Islamianto Hudan Raharjo
JURNAL INFOTEL Vol 14 No 2 (2022): May 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i2.767

Abstract

Wireless Sensor Network (WSN) is a wireless network that involves sensors in the network. The sensor node on the WSN will collect data information from the environment around the sensor. However, each sensor node has storage capacity, processing power, communication range, and battery life limitations. The use of energy consumption from these factors is the main problem because each sensor node uses its power consumption from the battery. Stable Election Protocol (SEP) is a type of routing protocol on WSN that uses the clustering method. SEP has a function to extend the time interval before the first node dies. This research was carried out on the SEP protocol with alive node parameters, total initial energy, and stability. This study indicates that on a network that uses 100 nodes with sink positions (0, 100), two nodes are still alive and several nodes that are still alive in several sink positions that use 200 nodes. For networks where there is still a lot of energy remaining in the sink position (0, 100) with the network using 100 nodes and for networks using 200 nodes, the remaining energy is mainly in the sink position (100, 100). The highest stability period is in the sink position (50, 50) for networks using 100 nodes, and for networks using 200 nodes, the highest stability period is in the sink position (100, 50).
Smart Agriculture untuk Mewujudkan Ketahanan Pangan Berbasis Lora di Desa Kalipadang-Benjeng Gresik Norma Ningsih; Ida Anisah; I Gede Puja Astawa; Mochammad Zen Samsono Hadi; Prima Kristalina; Mike Yuliana; Aries Pratiarso; Haryadi Amran; Rahardita Widyatra; Amang Sudarsono; Mohamad Ridwan; Rini Satiti; Afifah Dwi Ramadhani
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 5 No. 1 (2024): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpni.v5i1.648

Abstract

Increasing agricultural production is a top priority in agricultural development. There are many agricultural problems to be managed. One way to increase rice production is to pay attention to irrigation conditions. In addition to irrigation, rising temperatures also affect the process of flowering and grain filling. At high temperatures, grain because of rice agricultural production will calcify, resulting in a decrease in grain quantity and grain mass. Temperature spikes can also reduce the viability and size of the seeds when they reach the ripe stage. Apart from water and air, farmers also need to pay attention to soil pH and humidity. Many farmers do not yet have accurate indicators to determine soil quality, most farmers only use estimates, the application of the estimation method causes the quality of the soil in paddy fields to be infertile. To overcome this problem, a tool is made to predict the condition of agricultural land by taking data on temperature, humidity, air pressure, soil pH, soil moisture, and water flow rate. The data is then sent to a database to be displayed on a web server, so that farmers can monitor land conditions. It is expected that the parameter results obtained can be used as a preventive measure for farmers when conditions occur that can reduce rice productivity. That way, the condition of the land can be maintained so that crop failure can be minimized. This tool will be implemented in one of the rice fields of the residents of Kalipadang-Benjeng-Gresik Village. Based on data taken using an NPK sensor, wet soil has an average NPK content of 29.3 (Nitrogen); 41 (Phosphorus); 82 (Potassium). Moist soil has an NPK level of 28 (Nitrogen); 40 (Phosphorus); 82 (Potassium), and dry soil has an NPK level of 27.5 (Nitrogen); 39.7 (Phosphorus); 79.1 (Potassium). It can be said that soil moisture is directly proportional to NPK levels.
PENGEMBANGAN DASHBOARD INFORMASI UNTUK MANAJEMEN KONTEN PADA WEBSITE PENS SKY VENTURE Afifah Dwi Ramadhani; Arva Zaki Fanadzan; Mochammad Mobed Bachtiar; Aji Sapta Pramulen
Technologia : Jurnal Ilmiah Vol 16 No 3 (2025): Technologia (Juli)
Publisher : Fakultas Teknologi Informasi, Universitas Islam Kalimantan Muhammad Arsyad Al Banjari, di bawah koordinasi UPT Publikasi dan Pengelolaan Jurnal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v16i3.19516

Abstract

Penelitian ini bertujuan untuk mengembangkan sebuah dashboard pembaruan informasi yang terintegrasi dengan website PENS Sky Venture guna meningkatkan efisiensi pengelolaan konten. Permasalahan yang dihadapi sebelumnya adalah pembaruan informasi yang masih dilakukan secara manual dan menyulitkan pengelola dalam memperbarui konten secara cepat dan akurat. Proses pengembangan dilakukan menggunakan metode System Development Life Cycle model Waterfall. Dashboard yang dikembangkan memiliki dua peran pengguna, yaitu admin dan super admin Pengujian dilakukan menggunakan metode Black Box untuk mengevaluasi fungsionalitas sistem berdasarkan input dan output tanpa melihat struktur internal kode. Hasil pengujian menunjukkan bahwa seluruh fitur dashboard berjalan sesuai dengan yang diharapkan, dengan validasi dan notifikasi yang tepat. Penggunaan dashboard ini terbukti dapat menyederhanakan proses pembaruan konten, meningkatkan efektivitas pengelolaan informasi, serta memberikan pengalaman pengguna yang lebih baik pada website PENS Sky Venture.
Analisis Akurasi Pembacaan Karakter Plat Nomor Kendaraan Indonesia Menggunakan YOLOv8 dan EASYOCR Afifah Dwi Ramadhani; Adhe Farchan Amami; Ahmed Nazriel Lesmono; Aji Sapta Pramulen; Faridatun Nadziroh; Alon Jala Tirta Segara
Jurnal Teknika Vol 18 No 2 (2026): SEPTEMBER
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/jt.v18i2.1604

Abstract

Manajemen parkir di kawasan perkotaan yang padat menghadapi tantangan besar, terutama terkait kesulitan pengguna dalam menemukan kembali posisi kendaraan dan kurangnya informasi ketersediaan lahan secara real-time. Penelitian ini mengusulkan sistem Smart Parking Management berbasis kamera CCTV yang mendeteksi dan mengidentifikasi kendaraan melalui pembacaan plat nomor secara real time. Sistem memanfaatkan algoritma YOLOv8 sebagai detektor plat nomor, sementara EasyOCR digunakan untuk membaca karakter plat. Seluruh proses dioptimalkan menggunakan OpenVINO agar mampu berjalan efisien pada perangkat edge. Dataset yang digunakan terdiri dari 1.347 citra plat nomor kendaraan Indonesia dengan variasi kondisi pencahayaan, jarak, dan sudut pengambilan gambar. Penelitian membandingkan dua varian model, yaitu YOLOv8n dan YOLOv8x untuk menganalisa akurasi deteksi. Hasil uji menunjukkan bahwa YOLOv8x memiliki akurasi deteksi lebih tinggi (mAP@0.5 sebesar 0,951), sedangkan YOLOv8n menghasilkan pembacaan OCR yang lebih stabil karena menghasilkan bounding box yang lebih luas. Temuan ini menunjukkan bahwa akurasi deteksi yang tinggi tidak selalu menghasilkan performa pembacaan karakter yang lebih baik. Kontribusi utama penelitian ini adalah analisis end-to-end hubungan antara kualitas deteksi dan akurasi OCR dalam kondisi nyata, serta menunjukkan pentingnya keseimbangan antara presisi deteksi dan ketahanan pengenalan karakter dalam sistem smart parking.