Reza Firsandaya Malik
Department of Computer Engineering Faculty of Computer Engineering Universitas Sriwijaya

Published : 14 Documents
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The New Multipoint Relays Selection in OLSR using Particle Swarm Optimization Malik, Reza Firsandaya; Abdul Rahman, Tharek; Ngah, Razali; Mohd Hashim, Siti Zaiton
TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 10, No 2: June 2012
Publisher : Universitas Ahmad Dahlan

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Abstract

The standard Optimized Link State Routing (OLSR) introduces an interesting concept, the multipoint relays (MPRs), to mitigate message overhead during the flooding process. We propose a new algorithm for MPRs selection to enhance the performance of OLSR using Particle Swarm Optimization Sigmoid Increasing Inertia Weight (PSOSIIW). The sigmoid increasing inertia weight has significance improve the particle swarm optimization (PSO) in terms of simplicity and quick convergence towards optimum solution. The new fitness function of PSO-SIIW, packet delay of each node and degree of willingness are introduced to support MPRs selection in OLSR. We examine the throughput, packet loss and end-to-end delay of the proposed method using network simulator 2 (ns2).  Overall results indicate that OLSR-PSOSIIW has shown good performance compared to the standard OLSR and OLSR-PSO, particularly for the throughput and end-to-end delay. Generally the proposed OLSR-PSOSIIW shows advantage of using PSO for optimizing routing paths in the MPRs selection algorithm.
The New Multipoint Relays Selection in OLSR using Particle Swarm Optimization Malik, Reza Firsandaya; Abdul Rahman, Tharek; Ngah, Razali; Mohd Hashim, Siti Zaiton
TELKOMNIKA Indonesian Journal of Electrical Engineering Vol 10, No 2: June 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

The standard Optimized Link State Routing (OLSR) introduces an interesting concept, the multipoint relays (MPRs), to mitigate message overhead during the flooding process. We propose a new algorithm for MPRs selection to enhance the performance of OLSR using Particle Swarm Optimization Sigmoid Increasing Inertia Weight (PSOSIIW). The sigmoid increasing inertia weight has significance improve the particle swarm optimization (PSO) in terms of simplicity and quick convergence towards optimum solution. The new fitness function of PSO-SIIW, packet delay of each node and degree of willingness are introduced to support MPRs selection in OLSR. We examine the throughput, packet loss and end-to-end delay of the proposed method using network simulator 2 (ns2).  Overall results indicate that OLSR-PSOSIIW has shown good performance compared to the standard OLSR and OLSR-PSO, particularly for the throughput and end-to-end delay. Generally the proposed OLSR-PSOSIIW shows advantage of using PSO for optimizing routing paths in the MPRs selection algorithm.
Ebook Reader Berbasis Mobile Menggunakan Modifikasi Fitur Face Tracking ., Saparudin; Malik, Reza Firsandaya; Azriyan, Rikza
Jurnal GENERIC Vol 6, No 2 (2011)
Publisher : Fakultas Ilmu Komputer - Universitas Sriwijaya

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Abstract

Pembaca buku elektronik adalah perangkat lunak untuk membaca buku elektronik pada komputer, dimana navigasi perpindahan halaman biasanya dilakukan dengan menggunakan tombol. Pada makalah ini akan dilakukan pembahasan mengenai navigasi perangkat lunak pembaca buku elektronik berbasis mobile berkamera depan menggunakan teknik Face Tracking yang telah dimodifikasi. Perubahan urutan proses dan pengembangan dari teknik face tracking dengan metode perbandingan warna citra telah dilakukan dalam OpenCV Frameworks. Dari hasil eksperimen didapat bahwa bahwa metode perbandingan warna  citra dapat mengeliminasi proses perhitungan yang kompleks pada teknik face tracking dan mampu berjalan dalam memori yang terbatas.
Solving Hashiwokakero Puzzle Game with Hashi Solving Techniques and Depth First Search Malik, Reza Firsandaya; Efendi, Rusdi; Amrina Pratiwi, Eriska
Bulletin of Electrical Engineering and Informatics Vol 1, No 1: March 2012
Publisher : Universitas Ahmad Dahlan

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Abstract

Hashiwokakero is a logic puzzle game that sharpen the brain and very popular in Japan. This paper discusses about how to find a solution in the Hashi puzzle game using Hashi Solving techniques, such as: Just Enough Neighbor, One Unsolved neighbor, Few Neighbor, Leftovers and Isolation. Hashi Solving techniques are used to find and build bridges that can definitely be built across the island, while Depth First Search (DFS) will search and build bridges that have not been found by Hashi Solving techniques. The results shown that Hashi Solving Techniques and DFS able to solve every Hashi puzzle scenario.
Noise Reduction Technique for Heart Rate Monitoring Devices Hii, Q.H; Malik, Reza Firsandaya
ICON-CSE Vol 1, No 1 (2014)
Publisher : ICON-CSE

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Abstract

Electrocardiogram (ECG) signal has been widely used to detect the heart rate of the human, and it is useful in cardiac pathology. ECG detects several heart diseases of the patients. Wearable technology comes to be conducted as work as the monitoring devices to get the ECG signal directly from the patients. However, the movement of the patients will cause noises which interfere the result of the ECG. To overcome this problem, the digital filter is proposed to be designed and used in getting an accurate ECG signal. The filtering ECG results give likely in analysing the heart disease.The structures and the coefficients of the digital filters are designed using Filter Design & Analysis (FDA) tool in MATLAB. The analysis of magnitude responseis done in two type of the digital filter - the infinite impulse response (IIR) and finite impulse response (FIR). This paper evaluatesthat the FIR digital filter is more stable and better to be used in removing noise from ECG signals.
Hubungan Prilaku Remaja Berinternet di Inderalaya Malik, Reza Firsandaya; Stiawan, Deris; Erwin, Erwin; Passarella, Rossi; sutarno, sutarno; Sembiring, Sarmayanta; Heryanto, Ahmad
Annual Research Seminar (ARS) Vol 1, No 1 (2015)
Publisher : Annual Research Seminar (ARS)

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Abstract

Indralaya known as the City of Students and Education, also has more than 30 boarding school, and 60 senior high school / vocational school spread over Ogan Ilir. Implementation of community service performed in Inderalaya to determine the relationship of the behavior of teenagers surfs the internet and provide knowledge about healthy and safe while surfing an internet. The method of data collection using questionnaires. Number of questionnaires distributed as many as 27 participants from SMAN 1 Inderalaya Utara and Pondok Pesantren Al Ittifaqiyah based on age from 15 to 17 years. Results showed teenagers have the tendency to access the internet every day with a duration of 1-2 hours and mostly done in the bedroom. Applications often they use is social networking. The teens also have the courage to meet with people who are known via online with a percentage of 29.6%.
Pemanfaatan Jaringan Nirkabel Untuk Komunikasi Data dan Suara di SMK Teknik Komputer dan Jaringan di Palembang Malik, Reza Firsandaya; Stiawan, Deris; Erwin, Erwin; Passarella, Rossi; Sutarno, Sutarno; Oklilas, Ahmad Fali; Heryanto, Ahmad
Annual Research Seminar (ARS) Vol 1, No 1 (2015)
Publisher : Annual Research Seminar (ARS)

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Abstract

According to the Basic Data of Directorate of Technical and Vocational Education that there are 18 vocational Computer Engineering and Networks in Palembang with consist of 2 state and 16 private schools. Utilization of the wireless network delivered in the training method that involves cognitive, affective and psychomotor aspects. The basic training taught basic computer network, especially related to wireless networks. These three aspects are evaluated through a pre test and post test. The results of pre and post test showed that 6.7% of the participants were not able to increase their knowledge about the wireless network while 93.3% are able.
Solving Hashiwokakero Puzzle Game with Hashi Solving Techniques and Depth First Search Malik, Reza Firsandaya; Efendi, Rusdi; Amrina Pratiwi, Eriska
Bulletin of Electrical Engineering and Informatics Vol 1, No 1: March 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Original Source | Check in Google Scholar | Full PDF (162.556 KB)

Abstract

Hashiwokakero is a logic puzzle game that sharpen the brain and very popular in Japan. This paper discusses about how to find a solution in the Hashi puzzle game using Hashi Solving techniques, such as: Just Enough Neighbor, One Unsolved neighbor, Few Neighbor, Leftovers and Isolation. Hashi Solving techniques are used to find and build bridges that can definitely be built across the island, while Depth First Search (DFS) will search and build bridges that have not been found by Hashi Solving techniques. The results shown that Hashi Solving Techniques and DFS able to solve every Hashi puzzle scenario.
Penerapan Metode K-Nearest Neighbor dalam Memprediksi Masa Studi Mahasiswa (Studi Kasus : Mahasiswa STIKOM Dinamika Bangsa) Jasmir, Jasmir; Abidin, Dodo Zaenal; Nurmaini, Siti; Malik, Reza Firsandaya
Annual Research Seminar (ARS) Vol 3, No 1 (2017): ARS 2017
Publisher : Annual Research Seminar (ARS)

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Abstract

Ledakan pertumbuhan data mahasiswa yang terjadi dalam lembaga perguruan tinggi akan menjadi tumpukan data yang sangat luar biasa. Dengan adanya tumpukan data ini penulis mencoba memanfaatkannya untuk mencari informasi baru. Di STIKOM Dinamika Bangsa tumpukan data yang digunakan merupakan data akademik yaitu data IP (Indeks Prestasi) mahasiswa dari semester satu sampai semester enam. Dengan adanya data ini, penulis melakukan prediksi tentang masa studi mahasiswa. Data dari semester satu sampai semester enam ini akan menjadi dasar perhitungan prediksi yang penulis lakukan dengan tujuan dapat menemukan informasi mahasiswa yang bisa lulus tepat waktu dan mahasiswa yang lulus tidak tepat waktu dengan menggunakan salah satu teknik data mining yaitu metode klasifikasi k-Nearest Neighbor dengan  bantuan Microsoft excel.  Hasil dari penelitian ini adalah nilai prediksi kelulusan mahasiswa dengan berbagai nilai k nya.
Credit Scoring Using Classification and Regression Tree (CART) Algorithm and Binary Particle Swarm Optimization Malik, Reza Firsandaya; Hermawan, Hermawan
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018 (Part II)
Publisher : Institute of Advanced Engineering and Science

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Abstract

Credit scoring is a procedure that exists in every financial institution. A way to predict whether the debtor was qualified to be given the loan or not and has been a major concern in the overall steps of the loan process. Almost all banks and other financial institutions have their own credit scoring methods. Nowadays, data mining approach has been accepted to be one of the well-known methods. Certainly, accuracy was also a major issue in this approach. This research proposed a hybrid method using CART algorithm and Binary Particle Swarm Optimization. Performance indicators that are used in this research are classification accuracy, error rate, sensitivity, specificity, and precision. Experimental results based on the public dataset showed that the proposed method accuracy is 78 %. In compare to several popular algorithms, such as neural network, logistic regression and support vector machine, the proposed method showed an outstanding performance.?