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Computational Parallel on Simulation of Wave Attenuation by Mangrove Forest Putu Harry Gunawan; Irma Palupi; Nurul Ikhsan; Iryanto Iryanto; Naila Al Mahmuda
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 14 No 3 (2023): Vol. 14, No. 3 December 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i03.p02

Coastal ecosystems, specifically mangrove trees, safeguard coastal regions against natural disasters like erosion, floods, and tsunamis. Numerical simulations employing the Shallow Water Equation (SWE), encompassing mass and momentum conservation equations, are used to comprehend how mangroves attenuate wave energy. The SWE incorporates Manning's friction term, which is directly influenced by mangrove forests. However, the SWE's complexity and sensitivity to initial conditions hinder analytical solutions. Despite its increasing computational demands, we utilize the robust staggered grid method to address this challenge. Our study examines mangroves' wave-attenuating effects and introduces a parallel computational model using OpenMP to expedite computations. Findings reveal that mangroves can reduce wave amplitudes by up to 33% when employing a Manning's coefficient of 0.3 within confined basin simulations. Furthermore, our parallel computing experiments demonstrate substantial computation speed enhancements; the speedup improves up to a point, with a notable 7.26-fold acceleration observed when utilizing eight threads compared to a single line. Moreover, more than a 10-fold acceleration is observed when the number of threads is greater than 16. This underscores the significance of parallelization in exploring mangrove contributions to coastal protection.

LONG SHORT TERM MEMORY APPROACH FOR SHORELINE CHANGE PREDICTION ON ERETAN BEACH Iryanto Iryanto; Ari Satrio; Ahmad Lubis Ghozali; Eka Ismantohadi; ZK Abdurahman Baizal; Putu Harry Gunawan
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 9 No. 2 (2024): JITK Issue February 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v9i2.4139

Eretan Beach is one of the beaches in Indramayu and has a reasonably severe abrasion rate from year to year. The Eretan coastline always experiences significant changes due to erosion every year. Therefore, it is necessary to study changes in the coastline at Eretan beach. This study obtained coastline data from the Google Earth engine using CoastSat, a python-based open-source toolkit, from 1992 – 2022. The open-source geographic information system software used to process the data is the Quantum Geographic Information System. This study aims to analyze the Long Short-term Memory (LSTM) algorithm in predicting shoreline changes at Eretan Beach. The eight optimizer functions in the LSTM are used with nine different scenarios to analyze the algorithm's performance. The results of this study show that RMSProp has the best performance compared to other optimizers. The RMSE and MAPE values on the RMSProp are 35.06258 and 2.2923 on the training data and 9.2457 and 1.06786 on the test data. In addition, from the predictions for the next ten years at transect point 251, it was found that there would be an increase in the coastline.

Hyperparameter Tuning on Graph Neural Network for the Classification of SARS-CoV-2 Inhibitors Himawan, Salamet Nur; Sohiburoyyan, Robieth; Iryanto, Iryanto
Journal of Applied Informatics and Computing Vol. 7 No. 2 (2023): December 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v7i2.6735

COVID-19 is caused by the SARS-CoV-2 virus, which results in a range of symptoms, from mild to severe, and can lead to fatalities. As of October 2023, WHO has recorded 771 cases of COVID-19 globally. Various efforts have been made to control the spread of the virus, including vaccination, isolation measures, and intensive medical care. The emergence of new SARS-CoV-2 variants has led to the ongoing evolution of virus transmission. Continued research is essential to understand this virus and develop strategies to address the pandemic. Inhibitors of SARS-CoV-2 play a crucial role in the vaccine development process. Inhibitors can impede the virus's development, helping reduce disease severity and control the pandemic. The classification of inhibitors is expected to serve as a foundation for selecting compounds that can be developed into vaccines. This research develops a Graph Neural Network model for inhibitor classification and uses the random search method for hyperparameter tuning. Graph Neural Networks are chosen due to their excellent performance in modelling graph data. This study demonstrates the success of hyperparameter tuning in improving the performance of the Graph Neural Network for accurate classification of SARS-CoV-2 inhibitors.

Optimalisasi Perpustakaan Desa Dalam Meningkatkan Literasi Masyarakat di Rambatan Kulon Rendi Rendi; Iryanto Iryanto; Salamet Nur Himawan
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 1.1 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) SPECIAL ISSUE
Publisher : Cv. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i1.1.5128

Kualitas sumber daya manusia dapat dilihat dari tingkat literasi masyarakat. Pemanfaatan perpustakaan desa memiliki peran penting dalam peningkatan literasi masyarakat. Pada Desa Rambataan Kulon terdapat perpustakaan yang dapat dimanfaatkan dan di gunakan sebagai pojok baca bagi masyarakat Desa. Namun sayangnya pemanfaatan perpustakaan belum cukup baik dan kegiatan-kegiatan pada perpustakaan belum terlalu banyak untuk meningkatkan literasi. Dalam mengoptimalkan perpustakaan dilakukan kegiatan “KACANG” yang merupakan singkatan dari KenaAli, CintAi liNGkungan dengan berlokasi di Perpustakaan Buku HarapanKu di Balai Desa Rambatan Kulon. Kegiatan yang dilakukan terdiri dari Senam Bersama, Story Telling dan Belajar sambil Bermain. Kegiatan pengabdian masyarakat yang dilakukan ini diharapkan memiliki potensi untuk meningkatkan minat baca dan minat berkunjung ke perpustakaan Buku HarapanKu Desa Rambatan Kulon guna meningkatkan budaya sadar literasi bagi masyarakat sekitar Desa

OPTIMASI JUMLAH ARMADA ANGKUTAN KOTA DI KABUPATEN BOGOR Iryanto, Iryanto; Susanto Haryadi, Eri; Rulhendri, Rulhendri
ASTONJADRO Vol. 1 No. 2 (2012): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v1i2.786

Dalam pengoptimasian jumlah armada angkot di Kabupaten Bogor ini adalah dugaan bahwa jumlah angkot lebih banyak dari yang dibutuhkan pada jam kerja supir angkot maka dengan demikian diduga over-supply yang langsung merugikan supir angkot dikarenakan pendapatan tidak sebanding dengan biaya operasi kendaraan (tidak murah atau mahal) secara tidak langsung juga merugikanpenumpang karena persaingan antar supir angkot merebut penumpang sehingga kinerja angkot menjadi discomfort (tidak nyaman) dan tersendat-sandat (tidak lancar). Melakukan optimasi jumlah armada angkot di masing-masing trayek dengan mempertimbangkan besarnya biaya operasi kendaraan (BOK), pendapatan yang diterima, kendaraan yang tersedia, serta Load Factor. Hasilanalisis jumlah armada optimal angkutan kota di setiap trayek berbeda tergantung dari demand (LF demand terangkut), supply (jumlah kendaraan yang telah tersedia sebelumnya), pendapatan, biaya operasi kendaraan, pembatasan LFBE, dan umur ekonomisnya. Suatu perubahan yang signifikan pada salah satu dari parameter-parameter ini mengakibatkan perubahan pada jumlah armada optimal.Dari lima belas Trayek yang di optimasi, ada 4757 armada yang beroperasi maka dari hasil penelitian perlu dilakukan pengurangan sebesar 60,7 % dari jumlah armada tersebut

Web Based Dashboard of Airplane Turbulence Mitigation Ghozali, Ahmad Lubis; Kuresih, Kuresih; Cahyanto, Kurnia Adi; Iryanto, Iryanto; Gernowo, Rahmat
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 3 No. 11 (2024): JETBIS : Journal Of Economich, Technology and Business
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v3i11.158

Airplane accidents still occur frequently, one of which is caused by turbulence. To minimize the risk, an effective forecasting system is needed. This research focuses on developing a web-based dashboard for aircraft turbulence mitigation by considering factors such as convective cloud growth, Richardson number index, and wind shear. The dashboard was developed through four steps: requirement analysis, design, implementation, and verification. The Richardson number index (Ri) is calculated using a formula involving temperature and wind speed at different geopotential heights. Alert status is determined based on Ri values and other parameters, with three alert levels: 'Alert 1', 'Alert 2' and 'Alert 3'. The system provides alerts based on user input. If the cloud cover is less than 50%, the “Alert 1” status is displayed; if Ri < 0.25, the “Alert 2” status appears; and if the wind shear exceeds the threshold, the “Alert 3” status indicates that flights are prohibited. Pilot tests show that the system works well and the Ri calculation results are comparable to existing Richardson calculators. The dashboard allows users to access critical information related to turbulence and flight status in real-time, thereby improving flight safety. Timely alerts help in flight-related decision making. This research successfully developed a web-based dashboard for aircraft turbulence mitigation that works well. By monitoring convective cloud growth, Richardson number index, and wind shear, the system is able to provide relevant alerts to improve flight safety.

Web Based Dashboard of Airplane Turbulence Mitigation Ghozali, Ahmad Lubis; Kuresih, Kuresih; Cahyanto, Kurnia Adi; Iryanto, Iryanto; Gernowo, Rahmat
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 3 No. 11 (2024): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v3i11.158

Airplane accidents still occur frequently, one of which is caused by turbulence. To minimize the risk, an effective forecasting system is needed. This research focuses on developing a web-based dashboard for aircraft turbulence mitigation by considering factors such as convective cloud growth, Richardson number index, and wind shear. The dashboard was developed through four steps: requirement analysis, design, implementation, and verification. The Richardson number index (Ri) is calculated using a formula involving temperature and wind speed at different geopotential heights. Alert status is determined based on Ri values and other parameters, with three alert levels: 'Alert 1', 'Alert 2' and 'Alert 3'. The system provides alerts based on user input. If the cloud cover is less than 50%, the “Alert 1” status is displayed; if Ri < 0.25, the “Alert 2” status appears; and if the wind shear exceeds the threshold, the “Alert 3” status indicates that flights are prohibited. Pilot tests show that the system works well and the Ri calculation results are comparable to existing Richardson calculators. The dashboard allows users to access critical information related to turbulence and flight status in real-time, thereby improving flight safety. Timely alerts help in flight-related decision making. This research successfully developed a web-based dashboard for aircraft turbulence mitigation that works well. By monitoring convective cloud growth, Richardson number index, and wind shear, the system is able to provide relevant alerts to improve flight safety.

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