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IMPLEMENTASI ANT-BASED ROUTING ALGORITHM PADA MOBILE AD HOC NETWORK (MANET) Rahmadani, Safriadi
Journal Information System Development (ISD) Vol 2, No 1 (2017): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

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Abstract

MANET is a network model cordless (wireless) from mobile devices that can be setup dynamically from anywhere and at anytime without using a fixed network infrastructure. Ease of use and it is without a fixed infrastructure (less infrastructure) makes this model very suitable for use in critical situations, such as in the aftermath of disaster, isolated areas and areas with minimal communications network resources. To maximize the utilization and use of MANET network system, especially on the determination and selection of the best route to a node can connect and transmit the packet from the source node to the destination node to be optimized. This study was done to improve the performance of packet delivery by creating a node that functioned as a gateway and client using routing protocols Ant-Based Routing Algorithm (ABRA) so as to reduce the processing time (overhead) that often occurs in MANET network. Testing is done with a number of different nodes of 10, 20, and 30 nodes, with a bandwidth of 5 Mbps, 5 Mbps and the packet area of 10x10 m. The test results demonstrate the value of performance metrics on throughput and delay have optimal performance and low overhead so that the process of communication in the area of MANET network can take place with the stable.Keywords: Manet, ant-based routing algorithm, networking
Context Mobile Application (CMA) for Increasing the Service of Koperasi in Indonesia Rijois Iboy Erwin Saragih; Rahmadani Rahmadani
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 5, No 1 (2022): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)

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Abstract

Koperasi has an important role for economic growing in Indonesia. Especially in this time of pandemic, all countries in this world are face the same problem because of Covid-19 which is economic collapse beside the health issues. It is already a year that this virus affects the economic system of the countries. The government tries to grow the economic by supporting the small businesses through keperasi perhaps they may help the growing of the economics of the country. Unfortunately, most of conventional koperasi are still use the manual system to operate their serving to the member. In this research, it proposes mobile application of koperasi based on context needed in order to give better services to the member. The result of this research shows more than 80% user satisfy using this application.
KLASIFIKASI GENDER BERDASARKAN SUARA DENGAN NAIVE BAYES DAN MEL FREQUENCY CEPSTRAL COEFFICIENT Safriadi Safriadi; Rahmadani Rahmadani
VOCATECH: Vocational Education and Technology Journal Vol 2, No 1 (2020): October
Publisher : Akademi Komunitas Negeri Aceh Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38038/vocatech.v2i1.45

Abstract

Bagi manusia mengenali suara merupakan hal yang mudah, dengan cara mendengarkan dengan seksama dan manusia mempunyai kecerdasan dalam mengenali pola suara. Berbeda dengan komputer, proses pengenalan suara merupakan proses yang sulit, hal ini dikarenakan komputer memerlukan suatu mekanisme yang standar dan logis dalam mengenali pola suara. Dengan metode Mel Frequency Cepstral Coefficient (MFCC) memiliki peran penting dalam menentukan karakteristik dari sebuah suara. Metode ini sering digunakan untuk verifikasi suara, pengenalan suara, deteksi emosi dari suara. Untuk melakukan klasifikasi pada penelitian ini menggunakan metode Naïve Bayes. Metode Naive Bayes merupakan salah satu metode klasifikasi, yang mana proses klasifikasi pada metode naïve bayes berdasarkan dari probabilitas dari data sebagai bukti dalam probalitas. Model yang digunakan pada metode Naive Bayes adalah model atribut independent. Dalam penelitian ini, data suara yang digunakan pada penelitian ini berupa data suara yang direkam mengunkan perekam suara dengan durasi rekaman suara maksimal 30 detik. Tingkat keberhasilan dalam penelitian ini sebesar 87%. Hal ini berdasarkan dari jumlah data pengujian 100 sampel, yang benar diklasifikasi sebanyak 87 sampel data sedangkan yang salah diklasifikasi sebanyak 13 data sampel suara. For humans, recognizing sounds is an easy thing, by listening carefully and understandingly to what is spoken and humans have intelligence in recognizing sound patterns. Unlike computers, the speech recognition process is a difficult process, this is because the computer requires a standard and logical mechanism to recognize sound patterns. With Mel Frequency Cepstral Coefficient (MFCC) method has an important role in determining the characteristics of a sound. This method is often used for verification of voice, speech recognition, emotion detection of voice. To perform the classification in this study using Naïve Bayes method. The Naive Bayes method is a classification method. In which the classification process in the naïve Bayes method is based on the probability of the data as evidence in probability. The model used in the Naive Bayes method is the independent attribute model. The accuracy rate in this research was 87%. It is based on the amount of data testing 100 samples, the true classified as 87 samples of data while false classified as 13 sample data.
APPLICATION OF CASE BASED REASONING (CBR) METHOD IN DISTRIBUTION TRAFO DAMAGE EXPERT SYSTEM AT PLN UP3 BINJAI Aris Wahyono Aris Wahyono; Akim Manaor Hara Pardede; Rahmadani
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 2 No. 1 (2022): October 2022
Publisher : Yayasan Kita Menulis

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Abstract

In the world of electricity, transformers are widely used, both in the field of electric power and electronics. The use of transformers in the electric power system is used for each of its needs, for example the need for high voltage in the delivery of electrical power over long distances. Electrical equipment transformers are expensive and are very vital equipment. If the transformer is disturbed or in an abnormal condition, there may be an unexpected temporary cessation of electricity distribution and will cause losses for PLN and consumers who use electricity by disrupting the activities carried out. The Case Based Reasoning (CBR) method is a case-based reasoning system that uses previous experiences or cases so that they can solve new problems or cases. There are several stages in the case based reasoning method, including retrieve, reuse, revise, and retain. Case-based Reasoning (CBR) collects previous cases that are similar to the new problem and tries to modify the solution to fit the new case. The basic idea of ​​Case-Based reasoning is the assumption that similar problems have similar solutions. While this assumption is not always true, it does depend on many practical domains. Where the previous case experienced an overvoltage transformer damage, using the CBR method will look for similarities to the previous case with existing characteristics, the CBR method will look for the same case on the existing Knowladge so that the damage is quickly detected. From the characteristics of the damage that is on the transformer, it is easy to diagnose transformer damage using the CBR method and the results of the CBR method will find a ranking that is almost similar to the existing case.
Analysis Quality of Service (QoS) on Ad Hoc Networks with Network Simulator Version 3 (NS-3) Rahmadani Rahmadani; Supiyandi Supiyandi; Manalu Lia Kristina
International Journal of Information System and Innovative Technology Vol. 2 No. 1 (2023): June
Publisher : Geviva Edukasi Trans Teknologi

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Abstract

QoS (Quality of Service) results for throughput, packet loss and delay as well as data transfer process performance tests were carried out with the NS-3 simulator based on the number of nodes that are continuously added according to the scenario on the ad hoc network. The scenario of adding nodes is carried out in stages starting from 10 nodes, increasing to 20 nodes, up to 40 nodes. The results of the analysis and measurements obtained for throughput produce an average value of 3.1872 Kbps so that it is included in the good category. The packet loss parameter produces an average value of 3.48% which is included in the good category and the delay parameter produces an average value of 6,824 ms which is also included in the good category. The final results of the ad hoc network simulation process with NS-3 are presented in graphical view
Analisis Kinerja Protocol OLSR Pada Jaringan Ad Hoc Rahmadani Rahmadani
INFORMATICS FOR EDUCATORS AND PROFESSIONAL : Journal of Informatics Vol 8 No 1 (2023): INFORMATICS FOR EDUCATORS AND PROFESSIONAL : JOURNAL OF INFORMATICS (Edisi Khusus
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51211/itbi.v8i1.2513

Abstract

Abstrak: Analisis kinerja dengan menggunakan protocol Optimized Link State Routing (OLSR) pada jaringan ad hoc telah didapatkan hasil Quality of Service atau QoS terhadap nilai throughput, packet loss dan delay serta uji performa proses transfer data dilakukan dengan menggunakan software Network Simulator 3 (NS-3) pada sistem operasi Linux Ubuntu, berdasarkan jumlah node yang terus ditambah sesuai dengan skenario pengujian pada jaringan ad hoc. Skenario pengujian dilakukan dengan penambahan node secara bertahap mulai dari 10 node, kemudian ditambahkan menjadi 20 node, sampai berjumlah 40 node. Hasil analisis kinerja protocol Optimized Link State Routing (OLSR) serta pengukuran yang didapatkan terhadap nilai throughput, menghasilkan nilai rata-rata sebesar 3.1872 Kbps sehingga termasuk ke dalam kategori bagus. Nilai packet loss menghasilkan rata-rata sebesar 3,48% termasuk kedalam kategori bagus dan nilai delay menghasilkan rata-rata 6.824 ms yang juga masuk ke dalam kategori bagus. Hasil akhir analisis kinerja dengan menggunakan protocol Optimized Link State Routing (OLSR) pada jaringan ad hoc telah disajikan dalam bentuk grafik untuk memudahkan proses pengamatan dan penelitian selanjutnya.