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All Journal Proceedings of Annual International Conference Syiah Kuala University - Life Sciences & Engineering Chapter Jurnal Buana Informatika Kitektro Jurnal Ilmu Kebencanaan : Program Pascasarjana Unsyiah JURNAL NASIONAL TEKNIK ELEKTRO Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Rekayasa elektrika
Khairul Munadi
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Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Neuroscience Transportation Other

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Multiagent Based Tsunami Evacuation Simulation: A Conceptual Model Khairul Munadi; Yudha Nurdin; . Nasaruddin; M. Dirhamsyah; Sayed Muchalil
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 2, No 2 (2012): Engineering
Publisher : Syiah Kuala University

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Abstract

During emergency situation, such as a large-scale tsunami or other disastrousevents, people evacuation may lead to more fatalities when it is conducted without a proper escape strategy. The ability to evacuate a huge number of people within a very limited amount of time is certainly required. Evacuation drills are therefore necessary to acquire an optimal escape strategy. Unfortunately, we have to deal with both financial and practicalchallenges for conducting a regular and meaningful drill. To overcome these challenges, one solution would be to develop the evacuation simulation model. Despite its limitation to mimic the real-life situations, simulation may provide practical ways of minimizing the negative consequences as well as useful insights to escape strategy. In this paper, we describe a conceptual model of multiagent based tsunami evacuation simulation (TES). The model formulation and description would follow the ODD (Overview, Design concepts, andDetails) protocol, which is a standard protocol widely used by agent-based modellers. The proposed model may serve as a framework for TES that offers the following features: estimate the clearing time or the time needed by people to leave the tsunami inundation area, and identify the potential bottleneck or congestion locations. Using the proposed conceptual model, we consider constructing the TES for Calang district, a coastal area in Aceh Jaya regency, for future work
Ordinal Measure of Discrete Cosine Transform Blocks for Iris Identification Fitri Arnia; Fery Irianda; Siti Aisyah; Khairul Munadi
Proceedings of The Annual International Conference, Syiah Kuala University - Life Sciences & Engineering Chapter Vol 2, No 2 (2012): Engineering
Publisher : Syiah Kuala University

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Abstract

Currently, a common method for identifying a person is by means of an identitycard (ID) or combination of an ID and password. The approaches are not very reliable, since the ID can be stolen and password can be forgotten. A more reliable identification system is required. In the last decades, identification systems based on biometrics have been gaining attention, since they are more reliable. Biometrics-based devices identify people based on their physical or psychological characteristics, such as palmprints, fingerprints, gait and iris. Unlike fingerprints or palmprints, irides features distribute randomly, and the features were unique; the features between right and left eyes aredifferent, as well as between twins. Therefore, in addition to reliability, the use of irides can enhance identification accuracy. Purpose of the paper was to improve identification rate of an iris identification method, using ordinal measure of Discrete Cosine Transform (DCT) coefficient. The input iris image was tiled into blocks of 8x8 pixels, then the DCT was applied to each blocks. The AC coefficients of each block were sorted from the smallest to the largest values, in which the sorted values were referred to as ordinal measures.Identification was accomplished by measuring a distance between the ordinal measure of the input images with the ones of the existing images in the database using Minkwoski distance metric. Proposed method increased the averaged identification rate as compared to the previous method by nearly twice from 33% to 61.4%.
Studi Kuantisasi Bin Terhadap Metode Local Binary Pattern dan Local Binary Pattern Variance pada Deteksi Citra Asap Maya Muthia; Khairul Munadi; Fitri Arnia
Jurnal Komputer, Informasi Teknologi, dan Elektro Vol 2, No 3 (2017)
Publisher : Universitas Syiah Kuala

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Analisis Performansi VoIP mengunakan Session Initiation Protocol (SIP) dengan Codec G.711, G.729A Dan G.723 pada IP Multimedia Subsystem Yuswardi Yuswardi; Khairul Munadi; Ramzi Adriman
Jurnal Komputer, Informasi Teknologi, dan Elektro Vol 1, No 1 (2016)
Publisher : Universitas Syiah Kuala

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Abstract

Teknologi IP Multimedia Subsystem (IMS) merupakan teknologi masa depan yang mendukung beberapa layanan yang terintegrasi seperti voice, data dan multimedia. Kinerja IP Multimedia Subsystem adalah dengan melakukan pemisahan elemen server sehingga beban server menjadi lebih ringan. Session initiation protocol (SIP) merupakan model kinerja proses pangilan dalam sistem. Untuk peningkatan kualitas layanan IP multimedia subsystem di perlukan pengaturan protocol signaling SIP agar pengiriman data terhadap layanan VoIP berdasarkan pemilihan kombinasi codec yang lebih baik. Metode Pengambilan data QoS pada VoIP diambil berdasarkan kondisi jaringan secara global dengan scenario penerapan protocol SIP dan tanpa protocol SIP. Hasil sangat berpengaruh yang signifikan tehadap End-to-end delay, Jitter, dan throughput pada layanan VoIP dengan pemilihan codec, besarnya coding rate, serta penggunaan SIP turut berperan dalam mempengaruhi kualitas layanan. VoIP yang dilakukan pada jaringan SIP untuk kualitas suara masih sangat baik dibandingkan standar yang diterapkan ITU-T, tetapi untuk  End to-end Delay codec G.729A lebih baik dari pada codec G.711 dan G.723 sementara untuk jitter lebih baik mengunakan codec G.723 dari pada G.711 dan G.729A  yang digunakan dalam skenario yang sama
KLASIFIKASI KANKER PAYUDARA MENGGUNAKAN TEKNIK SUPPORT VECTOR MACHINE (SVM) PADA CITRA TERMOGRAFI Lina Marlina; Khairul Munadi; Fitri Arnia
Jurnal Komputer, Informasi Teknologi, dan Elektro Vol 5, No 2 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/kitektro.v5i2.15571

Abstract

Kanker payudara termasuk kedalam jenis kanker yang sangat mematikan. untuk meminimalkan angka kematian, diperlukan sebuah metode deteksi dini. SVM merupakan suatu metode deteksi kanker yang tidak memiliki efek samping.
PENGOLAHAN CITRA TERMAL UNTUK IDENTIFIKASI REGION OF INTEREST (ROI) DAN DETEKSI KESEGARAN IKAN NILA (OREOCHROMIS NILOTICUS) Tata Arsatria; Khairul Munadi; Fitri Arnia
Jurnal Komputer, Informasi Teknologi, dan Elektro Vol 5, No 3 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/kitektro.v5i3.17681

Abstract

Penelitian ini merupakan studi awal dalam pengolahan citra termal untuk identifikasi ROI dan deteksi kesegaran pada ikan nila. ROI yang diuji yaitu pada area kepala, badan, dan ekor. Fitur yang diuji yaitu menggunakan suhu dan mean. Hasil menunjukkan bahwa area kepala, badan, dan ekor memiliki tren yang sama dan tidak mencirikan perubahan secara spesifik, sehingga dibutuhkan penelitian lebih lanjut untuk penentuan ROI dari ketiga area tersebut sebagai indikator kesegaran pada ikan nila. Alternatifnya dapat dilakukan pengujian pada area lebih kecil di tiga bagian tersebut atau bagian spesifik lain dari ikan.
Metode Recovery Data Berbasis Informasi Mutual antar Frame untuk Video Motion JPEG2000 Zul Syukri; Khairul Munadi; Fitri Arnia
Jurnal Komputer, Informasi Teknologi, dan Elektro Vol 1, No 2 (2016)
Publisher : Universitas Syiah Kuala

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Abstract

Real Time Transport Protocol (RTP) yang berdasarkan pada User Datagram Protocol (UDP), bukanlah protokol yang handal sehingga beresiko hilangnya data dari sebuah paket data disaat transmisi. Pengiriman data multimedia Video Motion JPEG 2000 (MJP2) dalam bentuk paket data per paket data. Diperlukan suatu sistem yang dapat  mengatasi hilangnya paket, terhadap kualitas dari video yang diterima tanpa proses retransmit dan Forward Error Correction (FEC). Video MJP2 tersusun dari serangkaian citra JPEG2000 (JP2) yang dikode dan  dapat ditransformasikan ke domain wavelet diskrit untuk menampilkan dekomposisi subband, dimana subband tersebut dapat dihitung nilai entropy dan mutual informasinya (MI). Berdasarkan analisa nilai entropy dan MI masing-masing frame, maka dapat ditentukan frameframe terdekat yang memiliki MI yang tinggi, yang bertujuan merecover hilangnya data (data lost) dari Video MJP2 yang diakibatkan oleh packet lost, kesalahan transmisi, dan lain-lain. Dengan menerapkan metode Discrete Wavelet Transform (DWT), nilai entropy dan nilai MI yang tinggi dari frame terdekat (frame donor) yang terlebih dahulu diterima, maka data dari frame donor dapat dipakai untuk merecover frame yang mengalami data lost. Semakin dekat nilai entropy dan tinggi nilai MI antara frame donor dengan frame yang mengalami packet lost,  maka sangat menentukan tingkat keberhasilan dari hasil rekonstruksi. Hal ini bisa dibuktikan dengan mengamati nilai Peak Signal to Noise Ratio (PSNR), semakin tinggi nilai PSNR maka tingkat keberhasilan data  recovery makin tinggi/bagus.Kata Kunci— Descrete Wavelet Transformation, Entropy, Mutual Informasi, PSNR.
PENGUATAN PERAN POSYANDU DALAM MENINGKATKAN KETAHANAN MASYARAKAT TERHADAP BENCANA TSUNAMI DI WILAYAH PESISIR KOTA BANDA ACEH MENGGUNAKAN PENDEKATAN KNOWLEDGE MANAGEMENT Eka Sartika; Khairul Munadi; Endang Mutiawati
Jurnal Ilmu Kebencanaan : Program Pascasarjana Unsyiah Vol 4, No 4: November 2017
Publisher : Jurnal Ilmu Kebencanaan : Program Pascasarjana Unsyiah

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Abstract

The lack of disaster knowledge is one of the causes of the high casualties of women in the tsunami in Banda Aceh. Strengthening the posyandu's role in improving community resilience to disasters is essential. Research’s purpose is to identify posyandu role, strengthen posyandu role by analyzing the factors that become supporter and challenge faced by posyandu, and to initiate effective efforts in building disaster resilient community through Knowledge Management(KM) approach. The research uses quantitative and qualitative approach. Determination of sample by purposive involving 6 Posyandu located in coastal area of Banda Aceh City. Data were collected with questionnaires, in-depth interviews and focus group discussions. Analysis technique used is thematic analysis method. The results revealed that 77.8% of Posyandu managers have disaster knowledge at the medium level. Posyandu has many supporting factors to act as the agent of disaster knowledge dissemination. Strengthening the posyandu's role needs to be realized by continuous KM approach,  its strategy is to make the program regularly disseminate disaster knowledge, build Posyandu community network with non-formal learning facilities so that it can give input to policy and program in achieving development sustainable in  Banda Aceh.Key words :  Tsunami,  Posyandu, and  Knowledge Management
PERANCANGAN INSTRUMEN PENILAIAN KESIAPSIAGAAN PUSKESMAS DALAM PENANGGULANGAN BENCANA Cut Dian; Imran .; Khairul Munadi
Jurnal Ilmu Kebencanaan : Program Pascasarjana Unsyiah Vol 4, No 1: Februari 2017
Publisher : Jurnal Ilmu Kebencanaan : Program Pascasarjana Unsyiah

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Abstract

Primary health care center preparedness in disaster management is very important to reduce the impact of disasters occurring in the community. It is necessary to assess the level of Primary health care center preparedness in disaster management to know the level of preparedness and the aspects of preparedness that need to be improved. No instruments have been used to assess Primary health care preparedness in disaster management. This study aims to identify indicators of preparedness of Primary health care center in disaster management, to design the instrument of Primary health care center preparedness assessment in disaster management. This research specifically uses Research and Development research. Outline consists a) Introduction Research, b) Planning and Design of instrument, c) weighting, d) Professional judgment e) Validity test instrument using Content Validity Ratio (CVR). This study has identified six indicators of Primary health care center preparedness that are health mapping, daily emergency services, community empowerment, preparedness exercises, surveillance and cross sector coordination. This research has produced the instrument that has been tested its validity, to assess the preparedness of Primary health care in disaster response. Keywords: assessment instruments, preparedness, primary health care center, disaster management
Penggunaan Gray Level Co-Occurance Matrix Dari Koefisien Aproksimasi Wavelet untuk Deteksi Cacat Tekstil Raihan Islamadina; Fitri Arnia; Khairul Munadi
Jurnal Buana Informatika Vol. 6 No. 2 (2015): Jurnal Buana Informatika Volume 6 Nomor 2 April 2015
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v6i2.405

Abstract

Pendeteksian cacat tekstil saat ini masih dilakukan secara manualmengakibatkan seseorang sulit mendeteksi lebih dari 60% dari cacat yang ada.Untuk itu, penelitian ini menerapkan metode deteksi cacat tekstil secara otomatismenggunakan Gray Level Co-Occurance Matrix (GLCM) dari koefisienaproksimasi wavelet yang bertujuan untuk mengevaluasi analisis kinerja metode.Tahapannya, sampel citra tekstil dibagi menjadi delapan bagian untukmendapatkan tekstur cacat yang lebih jelas. Bagian tersebut didekomposisikedalam dua level. GLCM dihitung dari koefisien aproksimasi wavelet level satudan dua untuk dijadikan fitur. Penelitian ini dilakukan empat set simulasi citradengan orientasi latar berbeda. Setiap set terdiri dari satu citra noncacat dan duajenis citra cacat. Setiap bagian citra noncacat dihitung jaraknya dengan semuabagian pada citra cacat pertama dan kedua menggunakan jarak euclidean. Hasilsimulasi menunjukkan bahwa GLCM dari koefisien aproksimasi wavelet levelkedua mampu mendeteksi lebih dari 70% dari cacat yang ada.
Co-Authors . Nasaruddin . Syahrial Andika Saputra Cut Dian Eka Sartika Endang Mutiawati Rahayuningsih* Faridah Faridah Fery Irianda Fitri Arnia Fitri Arnia Fitri Arnia Imran . Lina Marlina M. Dirhamsyah Maya Muthia Nunung Mardatillah Raihan Islamadina Ramzi Adriman Sayed Muchalil Siti Aisyah Tata Arsatria Yudha Nurdin Yustina Dhyanti Yuswardi Yuswardi Zul Syukri