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All Journal Jurnal Ilmu dan Teknologi Kelautan Tropis Lontar Komputer: Jurnal Ilmiah Teknologi Informasi ILMU KELAUTAN: Indonesian Journal of Marine Sciences Indonesian Journal on Computing (Indo-JC) IJoICT (International Journal on Information and Communication Technology) JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Sisfokom (Sistem Informasi dan Komputer) Jiko (Jurnal Informatika dan komputer) JURNAL SUMBER DAYA AIR Charity : Jurnal Pengabdian Masyarakat eProceedings of Engineering
Didit Adytia
Telkom University
Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Social Sciences

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Optimasi desain rencana tanggul lepas pantai NCICD di Teluk Jakarta terhadap kemungkinan tsunami akibat letusan Gunung Anak Krakatau Huda Bachtiar; Riam Badriana; Leo Sembiring; Didit Adytia; I Putu Samskerta; Andonowati Andonowati; E. van Groesen
JURNAL SUMBER DAYA AIR Vol 13, No 1 (2017)
Publisher : Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1581.595 KB) | DOI: 10.32679/jsda.v13i1.170

Abstract

The infrastructural plans in the Jakarta Bay to reduce risks of flooding in Jakarta city comprise a large sea dike that encloses a retention lake. Part of the planned dike has the shape of the iconic Garuda bird. This shape is based on NCICD Stage-B Master Plan, where the form shape has not been tested on hydraulic perspective. Therefore, testing of wave run-up has been investiagated to find the optimum form of the Garuda Shape. The simulation of wave run-up uses Hawassi Model, where the model is governed by Boussinesq wave equation with considering wave-wave interaction. This paper shows that if in the future an explosion of Anak Krakatau will occur with strength 1/4th of the original Karkatau 1883 explosion, wave crests of 11m and troughs of 6m may collide against the birds head. As an alternative example, a more optimized design of the dike is constructed that reduces the maximal wave effects considerably.
PENDEKATAN NUMERIK DISIPASI GELOMBANG REGULER OLEH HUTAN MANGROVE MENGGUNAKAN MODEL DISPERSIF BOUSSINESQ Didit Adytia; Alifa Puspa Yuninda
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 12 No. 1 (2020): Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (965.595 KB) | DOI: 10.29244/jitkt.v12i1.26328

Abstract

Mangrove forest is one type of coastal forest that forming an ecosystem, in which its root system can dissipate waves, especially for coastal protection. Nevertheless, the effectiveness of mangrove forest for dissipating wave is still unclear, especially for short wave such as regular wave. The purpose of this research is to analyze the effectiveness of mangrove forest in dissipating regular wave by using numerical simulation approach. To simulate short waves accurately, one should choose a dispersive wave model. In this research, we choose a Boussinesq type of model, i.e. the Variational Boussinesq (VB) model as the wave model. Here, the Finite Volume method is chosen as the numerical implementation of model, in a staggered grid scheme. The dissipation process by the mangrove forest is modelled as a bottom dissipation that equivalent with a Manning’s coefficient that is derived from physical experiment. The resulting numerical implementation is then validated with experimental data from hydrodynamic laboratory which gives relatively accurate results. To analyze the effectiveness of dissipation by mangrove forest, we perform various simulation scenarios with various length of mangrove forest. From the results, it is shown that to obtain a 67% wave height dissipation of regular wave, we require at a mangrove forest with length as least 2 times the length incoming regular wave.
Dissipation of Solitary Wave Due To Mangrove Forest: A Numerical Study by Using Non-Dispersive Wave Model Didit Adytia; Semeidi Husrin; Arnida Lailatul Latifah
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 24, No 1 (2019): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (734.02 KB) | DOI: 10.14710/ik.ijms.24.1.41-50

Abstract

In this paper, we study a dissipation of solitary wave due to mangrove forest by using numerical simulation. Here, the solitary wave is chosen to represent tsunami wave form.  To simulate the wave dynamic, we use the non-dispersive Nonlinear Shallow Water Equations (NSWE). The model is implemented numerically by using finite volume method in a momentum conservative staggered grid. By using the proposed numerical scheme, the numerical code is able to simulate solitary wave breaking phenomenon. Wave dissipation due to mangrove forest is modelled as bottom roughness with an approximate value of manning roughness, which is derived from the classical Morisson’s formula. To test the modelled dissipation by mangrove forest, we reconstruct a physical experiment in hydrodynamic laboratory where a solitary wave propagates above a sloping bottom, which has a parameterized mangrove in the shallower part.  Two cases are performed to test the performance of the numerical implementation, i.e. the non-breaking and breaking solitary waves. Results of simulation agree quite well with the measurement data. The results of simulation are also analyzed quantitatively by calculating errors as well as correlation with the measurement data. Moreover, to investigate effects of wave steepness on solitary wave, to the reduction of wave energy, we perform numerical investigation. Various solitary waves with different wave steepness are simulated to see their effects on amplitude and energy reduction due to mangrove forest.
Forecasting of Sea Level Time Series using RNN and LSTM Case Study in Sunda Strait Annas Wahyu Ramadhan; Didit Adytia; Deni Saepudin; Semeidi Husrin; Adiwijaya Adiwijaya
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 12 No 3 (2021): Vol. 12, No. 03 December 2021
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2021.v12.i03.p01

Abstract

Sea-level forecasting is essential for coastal development planning and minimizing their signi?cantconsequences in coastal operations, such as naval engineering and navigation. Conventional sealevel predictions, such as tidal harmonic analysis, do not consider the in?uence of non-tidal elementsand require long-term historical sea level data. In this paper, two deep learning approachesare applied to forecast sea level. The ?rst deep learning is Recurrent Neural Network (RNN), andthe second is Long Short Term Memory (LSTM). Sea level data was obtained from IDSL (InexpensiveDevice for Sea Level Measurement) at Sebesi, Sunda Strait, Indonesia. We trained themodel for forecasting 3, 5, 7, 10, and 14 days using three months of hourly data in 2020 from 1stMay to 1st August. We compared forecasting results with RNN and LSTM with the results of theconventional method, namely tidal harmonic analysis. The LSTM’s results showed better performancethan the RNN and the tidal harmonic analysis, with a correlation coef?cient of R2 0.97 andan RMSE value of 0.036 for the 14 days prediction. Moreover, RNN and LSTM can accommodatenon-tidal harmonic data such as sea level anomalies.
Performansi Implementasi Numerik Metode Pseudo Spectral pada Model Gelombang 1D Boussinesq Didit Adytia
Indonesia Journal on Computing (Indo-JC) Vol. 2 No. 1 (2017): Maret, 2017
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/INDOJC.2017.2.1.164

Abstract

In the design of a numerical wave tank, it is necessary to use an accurate wave model as well as to choose an accurate and efficient numerical scheme for implementing the model. In this paper, we use a Pseudo-Spectral (PS) implementationfor a wave model so called Variational Boussinesq Model. The implementation is aimed to obtain a higher time efficiency in the calculation of wave simulations. The performance  of the PS implementation  is compared in CPU-time with a Finite Element (FE) implementation of the wave model for simulating a focusing wave group. Results of both implementations give a good agreement with wave data from laboratory experiment. The PS-implementation gives more efficient CPU-time compared to the FE-implementation.
Momentum Conservative Scheme for Simulating Wave Runup and Underwater Landslide Didit Adytia
Indonesia Journal on Computing (Indo-JC) Vol. 4 No. 1 (2019): Maret, 2019
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/INDOJC.2019.4.1.250

Abstract

This paper focuses on the numerical modelling and simulation of tsunami waves triggered by an underwater landslide. The equation of motion for water waves is represented by the Nonlinear Shallow Water Equations (NSWE). Meanwhile, the motion of underwater landslide is modeled by incorporating a term for bottom motion into the NSWE. The model is solved numerically by using a finite volume method with a momentum conservative staggered grid scheme that is proposed by Stelling & Duinmeijer 2003 [12].  Here, we modify the scheme for the implementation of bottom motion. The accuracy of the implementation for representing wave runup and rundown is shown by performing the runup of harmonic wave as proposed by Carrier & Greenspan 1958 [2], and also solitary wave runup of Synolakis, 1986 [14], for both breaking and non-breaking cases. For the underwater landslide, result of the simulation is compared with simulation using the Boundary Integral Equation Model (BIEM) that is performed by Lynett and Liu, 2002 [9].
Numerical Simulation of Soliton Collision by using 1D Boussinesq Model Didit Adytia; Four Saputra BM
Indonesia Journal on Computing (Indo-JC) Vol. 4 No. 2 (2019): September, 2019
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2019.4.2.335

Abstract

Soliton or solitary wave is a physical phenomenon in which a wave propagates without changing of form in a dispersive media. It is a condition when effects of nonlinearity is balanced with effects of dispersion. Therefore solitary wave propagation is a standard test for testing nonlinearity and dispersiveness of a wave model and its numerical implementation. One interesting case of the soliton phenomenon is the soliton collision which is an interaction between two solitary waves facing each other and producing a high impact wave. The phenomenon can be used to study tsunami wave interactions. In this paper we study the phenomenon by using numerical approach. We use a nonlinear dispersive 1D Boussinesq model that is implemented numerically by using Finite Element implementation in a collocated grid. The accuracy of the implementation is test by simulating two test cases of solitary wave, i.e. the propagation of solitary wave againsts analytical soliton solusion of Korteweg-de Vries (KdV) and the collision of two identical solitary waves. Results of simulations are also compared with results of the nonlinear nondispersive Shallow Water Equations (SWE).
Performansi Implementasi Paralel OpenMP pada Persamaan Air Dangkal 2D untuk Simulasi Gelombang Runup Didit Adytia; Novalianda Jeriano
Indonesia Journal on Computing (Indo-JC) Vol. 5 No. 1 (2020): Maret, 2020
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2020.5.1.395

Abstract

Terdapat banyak aliran dangkal di alam seperti tsunami, aliran banjir, aliran pada sungai, pasang surut air laut, dan sebagainya. Aliran dangkal dapat disimulasikan dengan menggunakan Persamaan Air Dangkal atau Shallow Water Equations (SWE). Salah satu fenomena nonlinear yang penting dalam aliran dangkal adalah fenomena runup. Khususnya untuk menyimulasikan fenomena runup secara akurat, perlakuan khusus pada implementasi numerik dari model gelombang harus dilakukan. Pada artikel ini, persamaan SWE diimplementasikan dengan metode Finite Volume pada grid komputasi dengan model momentum conservative staggered grid. Untuk meningkatkan performasi komputasi terutama untuk menyimulasikan domain komputasi yang besar dengan resolusi grid tinggi, pada paper ini skema numerik tersebut diimplementasikan dengan metode arsitektur OpenMP. Performansi algoritma paralel dikuantifikasi dengan menghitung speedup dan efisiensi. Dari hasil paralelisasi tersebut, didapatkan efisiensi pada waktu komputasi untuk kasus-kasus dengan jumlah grid komputasi yang besar.
Wind Wave Prediction by using Autoregressive Integrated Moving Average model : Case Study in Jakarta Bay Didit Adytia; Alif Rizal Yonanta; Nugrahinggil Subasita
International Journal on Information and Communication Technology (IJoICT) Vol. 4 No. 2 (2018): December 2018
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2018.42.300

Abstract

Prediction of wind wave is highly needed to support safe navigation, especially for ship. Besides that, loading and unloading activities in a harbour, as well as for design purpose of coastal and offshore structures, data of prediction of wave height are needed. Based on its nature, the wind wave has random behaviour that is highly depending on behaviour of wind as the main driving force. In this paper, we propose a prediction method for wind wave by using Autoregressive Integrated Moving Average or ARIMA. To obtain historical data of wind wave, we perform  wave simulation by using a phase-averaged wave model SWAN (Simulating Wave Near Shore).  From the simulation, time series of wind wave is obtained. The prediction of wind wave is performed to calculate forecast of 24  hours ahead. Here, we perform wind wave prediction in a location in Jakarta Bay, Indonesia. We perform several combination of ARIMA model to obtain best fit model for wind wave prediction in the location in Jakarta Bay. Results of prediction show that ARIMA model give an accurate prediction especially for short term prediction.
Prospek dan Keefektifan Penggunaan Google Classroom untuk Pembelajaran: Evidence dari SMP Pajajaran 1 Bandung deni saepudin; didit adytia; kemas muslim
Charity : Jurnal Pengabdian Masyarakat Vol 4 No 2 (2021): Charity-Jurnal Pengabdian Masyarakat
Publisher : PPM Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/charity.v4i2.3436

Abstract

Akibat pandemi Covid-19, masyarakat diminta untuk menjaga jarak fisik (physical distancing) untuk mencegah penularan. Salah satu konsekwensi dari keharusan menjaga jarak fisik ini adalah proses pembelajaran tidak dilakukan di sekolah, namun dilakukan dari rumah melalui media daring. Namun, belum semua sekolah siap melaksanakan pembelajaran daring. Salah satu faktor ketidaksiapan pembelajaran daring adalah pengetahuan/keterampilan guru dalam memanfaatkan media pembelajaran daring. Ada beberapa media online yang dapat digunakan untuk proses pembelajaran daring, salah satunya adalah Google Classroom. Dengan keterampilan para guru dalam memanfaatkan Google Classroom, proses pengajaran daring masih dapat berlangsung meskipun dengan banyak keterbatasan, baik keterbatasan perangkat maupun keterbatasan jaringan. Sampai saat ini, pandemi Covid-19 masih berlangsung dan belum diketahui kapan berakhir. Dengan keterampilan memanfaatkan Google Classroom, SMP Pajajaran 1 Bandung masih dapat melaksanakan pembelajaran daring. Pembelajaran ini juga dapat menjadi pelengkap proses pembelajaran konvensional di saat normal setelah pandemi berakhir dan ada potensi menggeser hasil studi sebelumnya yang menyebutkan pembelajaran dengan platform Google Form tidak terlalu efektif
Co-Authors - Adiwijaya Adiwijaya Alif Rizal Yonanta Alifa Puspa Yuninda Andonowati Andonowati Aniq Atiqi Rohmawati Annas Wahyu Ramadhan Arionmaro Asi Simaremare Arkan Priya Anggana Hadna Arnida Lailatul Latifah Azka Khoirunnisa Cornelius Stephanus Alfredo Dede Tarwidi Deni Saepudin Derry Destian E. van Groesen Faishal Rasyid Fhira Nhita Four Saputra BM Hanif Fakhrurroja Huda Bachtiar I Putu Samskerta Indira Citra Widya Indra A Aditya Isman Kurniawan kemas muslim Kemas Muslim Lhaksmana, Kemas Muslim Leo Sembiring Lukman Hardian Muhammad Adzhar Amrullah Muhammad Rafiuddin Nopendri Nopendri Novalianda Jeriano Nugrahinggil Subasita Putu Harry Gunawan R. Fajrika hadnis Putra Radika Rafif Gibran Rasyadan Farouq Riam Badriana Risyad Faisal Hadi Semeidi Husrin Semeidi Husrin Seno Adi Putra Setyorini Setyorini Siti Sa'adah Tatang Mulyana Tien Fabrianti Kusumasari Widianto Soekarnen