Add Initial LaTeX Template #66

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nuluh merged 48 commits from latex/initial-template into main 2025-05-14 11:41:52 +00:00
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@@ -41,13 +41,13 @@
\centering
\begin{longtable}{
>{\raggedleft\arraybackslash}p{0.03\linewidth} %1
>{\raggedright\arraybackslash}a{0.1\linewidth} %2
>{\raggedright\arraybackslash}p{0.1\linewidth} %3
>{\raggedright\arraybackslash}a{0.075\linewidth} %4
p{0.065\linewidth} %5
>{\raggedleft\arraybackslash}a{0.05\linewidth} %6
>{\raggedright\arraybackslash}p{0.15\linewidth} %7
>{\raggedright\arraybackslash}a{0.2\linewidth} %8
>{\raggedright\arraybackslash}a{0.2\linewidth} %2
% >{\raggedright\arraybackslash}p{0.1\linewidth} %3
% >{\raggedright\arraybackslash}a{0.075\linewidth} %4
% p{0.065\linewidth} %5
% >{\raggedleft\arraybackslash}a{0.05\linewidth} %6
>{\raggedright\arraybackslash}p{0.3\linewidth} %7
>{\raggedright\arraybackslash}a{0.35\linewidth} %8
}
\caption{Tinjauan pustaka, topik: pemanfaatan data getaran untuk monitor kesehatan struktur jembatan}
@@ -59,14 +59,14 @@
No. %1
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Judul %2
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Nama Penulis %3
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Nama Jurnal %4
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Sumber %5
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Tahun %6
% &
% Nama Penulis %3
% &
% Nama Jurnal %4
% &
% Sumber %5
% &
% Tahun %6
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Tujuan Penelitian %7
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@@ -79,14 +79,14 @@
No. %1
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Judul %2
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Nama Penulis %3
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Nama Jurnal %4
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Sumber %5
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Tahun %6
% &
% Nama Penulis %3
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% Nama Jurnal %4
% &
% Sumber %5
% &
% Tahun %6
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Tujuan Penelitian %7
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@@ -95,7 +95,7 @@
\\\midrule
\endhead
\midrule
\multicolumn{8}{r}{\textit{berlanjut di halaman berikutnya}}
\multicolumn{3}{r}{\textit{berlanjut di halaman berikutnya}}
\endfoot
\bottomrule
\bottomrule
@@ -108,29 +108,28 @@
&
Concrete and steel bridge Structural Health Monitoring—Insight into choices
for machine learning applications
for machine learning applications (Donghui Xu; Xiang Xu; Michael C. Forde; Antonio Caballero)
%for mult rows
% &
% Donghui Xu; Xiang Xu; Michael C. Forde; Antonio Caballero
%for mult rows
&
Donghui Xu; Xiang Xu; Michael C. Forde; Antonio Caballero
% &
% Construction and Building Materials
%for mult rows
% %for mult rows
&
Construction and Building Materials
% &
% \href{https://doi.org/10.1016/j.conbuildmat.2023.132596}{ScienceDirect}
%for mult rows
% %for mult rows
&
\href{https://doi.org/10.1016/j.conbuildmat.2023.132596}{ScienceDirect}
% &
% 2023
%for mult rows
&
2023
%for mult rows
% %for mult rows
&
\begin{enumerate}[series=enum]
@@ -145,7 +144,13 @@ for machine learning applications
\\ %-------------page break----------------
&&&&&&
% &
% &
% &
% &
% &
&
&
\begin{enumerate}[resume=enum]
\item Menyajikan berbagai perkembangan penelitian, mendiskusikan dan membandingkannya kelebihan dan kekurangannya
\item Meringkas kesesuaian berbagai metode pembelajaran mesin untuk masalah SHM yang berbeda
@@ -158,35 +163,36 @@ for machine learning applications
\end{enumerate}
\\
\pagebreak
%---------------2
2 %Nomor
%for mult rows
& %Judul Jurnal
Structural health monitoring of a cantilever beam using support vector machine
Structural health monitoring of a cantilever beam using support vector machine (Satish B Satpal; Yogesh Khandare; Anirban Guha; Sauvik Banerjee)
%for mult rows
& %Author
Satish B Satpal; Yogesh Khandare; Anirban Guha; Sauvik Banerjee
% & %Author
% % Satish B Satpal; Yogesh Khandare; Anirban Guha; Sauvik Banerjee
%for mult rows
% %for mult rows
& %Nama Jurnal
International Journal of Advanced Structural Engineering (IJASE)
% & %Nama Jurnal
% International Journal of Advanced Structural Engineering (IJASE)
%for mult rows
% %for mult rows
& %Sumber
\href{http://dx.doi.org/10.1186/2008-6695-5-2}{ResearchGate}
% & %Sumber
% \href{http://dx.doi.org/10.1186/2008-6695-5-2}{ResearchGate}
%for mult rows
% %for mult rows
& %Tahun
2020
% & %Tahun
% 2020
%for mult rows
% %for mult rows
& %Tujuan penelitian
Memeriksa algoritma SVM untuk pemantauan kesehatan seperti balok struktur menggunakan data perpindahan modal yang disebabkan oleh getaran.
@@ -201,27 +207,27 @@ for machine learning applications
3
& %Judul Jurnal
Real-time nondestructive structural health monitoring using support vector machines and wavelets
Real-time nondestructive structural health monitoring using support vector machines and wavelets (Ahmet Bulut; Ambuj K. Singh; Peter Shin; Tony Fountain; Hector Jasso; Linjun Yan; Ahmed Elgamal)
%for mult rows
& %Author
Ahmet Bulut; Ambuj K. Singh; Peter Shin; Tony Fountain; Hector Jasso; Linjun Yan; Ahmed Elgamal
% & %Author
% Ahmet Bulut; Ambuj K. Singh; Peter Shin; Tony Fountain; Hector Jasso; Linjun Yan; Ahmed Elgamal
%for mult rows
& %Nama Jurnal
Case Studies in Construction Materials 13 (2020) e00406
% & %Nama Jurnal
% Case Studies in Construction Materials 13 (2020) e00406
%for mult rows
% %for mult rows
& %Sumber
SPIE
% & %Sumber
% SPIE
%for mult rows
% %for mult rows
& %Tahun
2005
% & %Tahun
% 2005
%for mult rows
@@ -242,27 +248,27 @@ for machine learning applications
4
& %Judul Jurnal
A novel approach of Structural Health Monitoring by the application of FFT and wavelet transform using an index of frequency dispersion
A novel approach of Structural Health Monitoring by the application of FFT and wavelet transform using an index of frequency dispersion (Fragkiskos P. Pentaris; John Stonham; John P. Makris)
%for mult rows
& %Author
Fragkiskos P. Pentaris; John Stonham; John P. Makris
% & %Author
% Fragkiskos P. Pentaris; John Stonham; John P. Makris
%for mult rows
& %Nama Jurnal
International Journal of Geology
% & %Nama Jurnal
% International Journal of Geology
%for mult rows
% %for mult rows
& %Sumber
Research Gate
% & %Sumber
% Research Gate
%for mult rows
% %for mult rows
& %Tahun
2013
% & %Tahun
% 2013
%for mult rows
@@ -288,28 +294,28 @@ for machine learning applications
5
& %Judul Jurnal
Review of Vibration-Based Structural Health Monitoring Using Deep Learning
Review of Vibration-Based Structural Health Monitoring Using Deep Learning (Gyungmin Toh; Junhong Park)
%for mult rows
& %Author
Gyungmin Toh;
Junhong Park
% & %Author
% Gyungmin Toh;
% Junhong Park
%for mult rows
% %for mult rows
& %Nama Jurnal
Apllied Sciences
% & %Nama Jurnal
% Apllied Sciences
%for mult rows
% %for mult rows
& %Sumber
MDPI
% & %Sumber
% MDPI
%for mult rows
% %for mult rows
& %Tahun
2020
% & %Tahun
% 2020
%for mult rows
@@ -333,27 +339,27 @@ for machine learning applications
6
& %Judul Jurnal
A deep learning approach to condition monitoring of cantilever beams via time-frequency extended signatures
A deep learning approach to condition monitoring of cantilever beams via time-frequency extended signatures (Habil. Darian M. Onchis)
%for mult rows
& %Author
Habil. Darian M. Onchis
% & %Author
% Habil. Darian M. Onchis
%for mult rows
% %for mult rows
& %Nama Jurnal
Computers in Industry
% & %Nama Jurnal
% Computers in Industry
%for mult rows
% %for mult rows
& %Sumber
Science Direct
% & %Sumber
% Science Direct
%for mult rows
% %for mult rows
& %Tahun
2019
% & %Tahun
% 2019
%for mult rows