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FIXATION TEST UNTUK PENDIMENSIAN NODE HARDWARE PADA JARINGAN SDH (SYNCHRONOUS DIGITAL HIERARCHY) M. Zen Samsono Hadi; Aries Pratiarso; M. Agus Zainuddin
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 3 (2009): Network And Security
Publisher : Jurusan Teknik Informatika

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Abstract

Pada perencanaan jaringan telekomunikasi berbasis teknologi SDH, diperlukan optimasi biaya di dalam pendimensian node hardwarenya yaitu penentuan berapa banyak port card, pluggable device kind dan base equipment configuration (BEC) yang diinstall pada sebuah node hardware SDH. Di dalam makalah ini akan digunakan 2 metode untuk menyelesaikan permasalahan optimasi tersebut yaitu Mixed Integer Linear Programming (MILP) dan heuristic method. MILP dikenal dapat mencari optimal solution tetapi sangat lambat ketika datanya kompleks, sedangkan heuristic, solusi yang diberikan mendekati optimal tetapi sangat cepat dalam menangani data yang kompleks. Agar didapat hasil yang optimal dan cepat untuk data yang kompleks, dilakukan penggabungan 2 metode diatas (fixation test) dengan syarat metode heuristic harus memiliki nilai yang sedekat mungkin dengan optimal solution. Hasil dari penelitian, didapatkan bahwa mean percentage error untuk nilai heuristic dibanding optimal solution dibawah 10% sehingga metode fixation test cukup efektif dalam mendapatkan solusi yang optimal dan cepat untuk data yang kompleks.
An Adaptive Connectivity-based Centroid Algorithm for Node Positioning in Wireless Sensor Networks Aries Pratiarso; Prima Kristalina
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v3i1.39

Abstract

In wireless sensor network applications, the position of nodes is randomly distributed following the contour of the observation area. A simple solution without any measurement tools is provided by range-free method. However, this method yields the coarse estimating position of the nodes. In this paper, we propose Adaptive Connectivity-based (ACC) algorithm. This algorithm is a combination of Centroid as range-free based algorithm, and hop-based connectivity algorithm. Nodes have a possibility to estimate their own position based on the connectivity level between them and their reference nodes. Each node divides its communication range into several regions where each of them has a certain weight depends on the received signal strength. The weighted value is used to obtain the estimated position of nodes. Simulation result shows that the proposed algorithm has up to 3 meter error of estimated position on 100x100 square meter observation area, and up to 3 hop counts for 80 meters' communication range. The proposed algorithm performs an average error positioning up to 10 meters better than Weighted Centroid algorithm.Keywords: adaptive, connectivity, centroid, range-free.
SISTEM CLUSTERING UNTUK EFISIENSI ENERGI PADA JARINGAN SENSOR NIRKABEL Aries Pratiarso; M. Zen Samsono Hadi; Samsul Arifin; Mas Ivan Haris R
INOVTEK POLBENG Vol 4, No 2 (2014): INOVTEK VOL.4 NO 2 - 2014
Publisher : POLITEKNIK NEGERI BENGKALIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (267.112 KB) | DOI: 10.35314/ip.v4i2.100

Abstract

Abstrak Saat ini, penelitian tentang jaringan sensor nirkabel menerima banyak perhatian karena menawarkan keuntugan dari pemantauan berbagai macam linkungan dengan mendeteksi fenomena fisik. Jaringan sensor nirkabel terdiri atas sejumlah besar sensor node dimana setiap sensor node memiliki kemampuan untuk mengirim, menerima dan mendeteksi (melakukan proses sensor). Di sisi lain, sensor node memiliki kemampuan terbatas dalam hal kapasitas memori, bandwidth dan daya. Di antara berbagai isu, konsumsi energi menjadi perhatian banyak peneliti dikarenakan sensor node menggunakan baterei sebagai konsumsi dayanya. Pada penelitan ini dibandingkan kinerja protokol LEACH (distributed) dan LEACH-C (centralized), kedua protokol tersebut mendukung konsep clustering untuk menghemat daya baterei. Dari hasil pengujian, didapat bahwa unjuk kerja protokol LEACH-C lebih baik dari LEACH. Selain itu juga dilakukan pengujian dengan perangkat hardware yang sementara masih dilakukan proses kekuatan penyebaran daya dari sebuah sensor node hardware. Kata kunci : Sensor node, Clustering, LEACH, LEACH-C
Smart Room Lighting System for Energy Efficiency in Indoor Environment Rafika Rizky Ramadhani; Mike Yuliana; Aries Pratiarso
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 4 No. 2 (2022): November 2022
Publisher : Informatics Department-Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (446.022 KB) | DOI: 10.25139/ijair.v4i2.5266

Abstract

The building sector absorbs 40% of global energy sources. Energy demand in the building sector is dominated by around 60 – 70% electricity, mainly used for air conditioning, water pumping machines, and lighting. On average, artificial lighting can consume 37% of the total electrical energy needs. Meanwhile, sunlight enters the room through the morning window from noon until the afternoon. Using unnecessary or excessive room lighting when there is a natural light source in the room consumes a relatively large total energy requirement of the building. There is a need for a smart lighting system specifically for indoors for efficient energy management and a lighting control system integrated with IoT, which utilizes the intensity of natural light in a room. In this paper, we proposed that the Smart Room Lighting System uses the fuzzy logic method based on ESP32 to control the lighting in the room to save electricity usage for a room lamp. The result of the tool's design, it can control the light starting from bright, dim, and lights go out. The results obtained by the Smart Room Lighting System can reduce power consumption by up to 93% and energy by up to 70%.
Implementasi Sistem Notifikasi untuk Pengawasan Pasien Alzheimer Berbasis Bluetooth Low Energy (BLE) Aries Pratiarso; Trisna Agung Mahendra; Mike Yuliana; Prima Kristalina; I Gede Puja Astawa; Arifin Arifin
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 4: November 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

Alzheimer's patients need attention and special treatment due to their inability to remember something. One technology that is widely used for tracking objects or people in an indoor environment is a Bluetooth Low Energy (BLE). In this paper, a surveillance notification system for Alzheimer's patients is proposed using Beacon technology to prevent the lossof patients. Improvement in accuracy of the estimated position of the patient were calculated using a Kalman filter. The reason for using this method was the difficulty of determining the location of objects due to noise and inaccuracy of measurement data.Fromthe results of the tests performed, it can be seen that the system made is able to provide notifications to nurses if the patient exceeds the specified distance with an average success of up to 90%. The use of the Kalman method is also able to increase the accuracy of the estimation of patient position with an estimated error reduction of 69.7%.
Skema Lokalisasi Posisi Node Terdistribusi pada Lingkungan Free Space Path Loss Aries Pratiarso; Adam Surya Putra; Prima Kristalina; Amang Sudarsono; Mike Yuliana; I Gede Puja Astawa
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 3: Agustus 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

A wireless sensor network consists of interconnected nodes that exchange information and use shared resource in a wireless transmission medium. Sensor nodes are randomly deployed in observation area in static or moving term. During this situation, the position of each sensor nodes is required to be known to monitor the circumstances around the node according to the information collected by sensor. Localization is the process to determine the position of nodes. This process could be done in centralized or distributed manner. In this paper, a distributed localization mechanism is proposed, where the calculation of node position is carried out on the node itself. Trilateration method is employed to calculate the position of node based on estimated distance measured by Received Signal Strength Indicator (RSSI) technique using Zigbee module in Free-Space Path Loss (FSPL) outdoor area. The experiment result shows that, based on log-normal shadowing model, the path loss coefficient for observation area is 2.5443, whereas average estimated position error from three different measured nodes are 23.504 m, 17.369 m, and 17.95 m respectively. Each node needs 2.73 second to undertake localization process completely.
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.