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Journal : Jurnal Sistem Komputer

Klasifikasi Jenis Kelamin menggunakan Pitch Suara dengan metode Pitch Detection Algorithm Irham Surya Pratama; Felix Indra Kurniadi
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol 2 No 1 (2018): Volume II - Nomor 1 - September 2018
Publisher : Teknik Informatika

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Abstract

Abstract—Gender classification is one of the major problems in speech analysis. Human voices exhibit very interesting aspects i.e. pitch, median, frequency etc. In this research we proposed an approach using pitch to classify each gender. Pitch Detection Algorithm were used as main method. This method gives 61% using Pitch Detection Algorithm
Klasifikasi Bunga Melati dengan Menggunakan Local Binary Pattern Sahril Amuda; Felix Indra Kurniadi
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 2 No. 2 (2019): Volume II - Nomor 2 - Maret 2019
Publisher : Teknik Informatika

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Abstract

Jasmine is the one of the national flower. Each jasmine type has unique characteristic and different between each other. Sadly, Indonesia is not the only one who have the Jasmine as the national flower, the other countries such as Malaysia and Philippine have their jasmine. In this research we tried to classify between Indonesia and Other country Jasmine. We proposed using Local Binary Pattern as the feature extraction and K-Nearest Neighbour as the classifier. The result shows the best accuracy from our proposed methods is 55%.
Analisis dan Perancangan Simulasi Perbandingan Kinerja Jaringan Komputer Menggunakan Metode Protokol Routing Statis, Open Shortest Path First (OSPF) dan Border Gateway Protocol (BGP) (Studi Kasus Tanri Abeng University) Sahril Amuda; Muhamad Femy Mulya; Felix Indra Kurniadi
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 4 No. 2 (2021): Volume IV - Nomor 2 - Maret 2021
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/siskom-kb.v4i2.189

Abstract

Network is a communication between two devices to communicate with each other either using wire or wireless media. The LAN network topology used at Tanri Abeng Unversity still uses a static routing topology, where the routing process is still done manually, so that if there is an addition of a new network, it will be difficult to configure the routing table. In this research, a network topology with dynamic routing methods will be built that will help improve network performance at Tanri Abeng University. The purpose of this research is to analyze the comparison of network performance at Tanri Abeng Unversity in sending data packets using static routing protocols, OSPF, and BGP based on the parameters used. In this research also, the ping process was carried out using the cisco packet tracer 100 times with the size of the data packet sent of 32 bytes for each routing method to be compared. Then in this research, the test scenario was carried out eight times on each parameter of throughput, packet loss, delay, and jitter in the hope of determining which routing method is more optimal among static routing, OSPF, and BGP at Tanri Abeng University. The test results show that BGP routing for throughput and packet loss parameters is superior to other routing methods, while OSPF routing for delay and jitter parameters is superior to other routing methods.