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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) MEDIA KOMUNIKASI TEKNIK SIPIL Jurnal Sains dan Teknologi Perfecting a Video Game with Game Metrics Jurnal Informatika Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Proceedings ACES (Annual Civil Engineering Seminar) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Teknik Sipil Jurnal Teknik International Journal of Artificial Intelligence Research RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Seminar Nasional Teknologi Informasi Komunikasi dan Industri Dinamisia: Jurnal Pengabdian Kepada Masyarakat SIKLUS: Jurnal Teknik Sipil Jurnal Rekayasa Sipil ABDIMAS: Jurnal Pengabdian Masyarakat JURNAL SAINTIS Jurnal Infrastruktur Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi Journal of Infrastructure and Civil Engineering SAINSTEK

Reni Suryanita

Department Of Civil Engineering, Engineering Faculty, Universitas Riau, Pekanbaru, Indonesia

Author-ID : 395195

Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Transportation Other

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Analisis Perilaku Portal Baja Dengan Kekakuan Tingkat Lunak (Soft Story) Putri, Ade Septiani; Suryanita, Reni; Djauhari, Zulfikar
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 5 (2018): Edisi 1 Januari s/d Juni 2018
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Structure with soft story effect will enlarge the lateral deformation and shear forces in the column so that the destruction of the columns is particularly vulnerable when subjected to thelarge forces. This research aims to analyse the actual structural behaviour affected by the earthquake load. The steel structure was design according to Indonesian Steel Structure Building Code (SNI 1729-2015) and also Indonesian Load Earthquake Resistance Code (SNI 1726-2012). To assess the structural behaviour, the Non-linier Time History Analysis (NLTH) was conducted using finite element software. The earthquake load employed to the structurewas modified Elcentro adjusted to goeology of Pekanbaru. The result showed that in structure with soft story had the maximum displacement of 97,13 mm in Y direction. Moreover, maximumshear forces observed on the structure with soft story mechanism increased by 42.13% and 37.80% on X and Y direction respectively compared to the previous floor without soft storymechanism. The result also showed that soft story mechanism affected to the dynamic responses of the structure.Keywords: soft story, earthquake, structure behaviour, time history analysis

Pengaruh Penggunaan Soil Stabilization Terhadap Sifat Fisik Mortar Dengan Agregat Halus Berkadar Lumpur Tinggi Rahman, Arif; Ismeddiyanto, Ismeddiyanto; Suryanita, Reni
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 5 (2018): Edisi 2 Juli s/d Desember 2018
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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This study examined the physical properties of mortar mixed from fine aggregate containing high percentage of mud and soil stabilization. According SNI S-04-1998-f regulations fine aggregates for concrete should not be more 5% mud. Soil stabilization as additive material in the mortar mixtures will increase the quality of mortar.. The percentage of mud in the study was 0%, 5%, 10%, 15%, 20% and 23%. Soil stabilization of 1% as additional material of the mortar’s mud weight. The tested physical properties of the study object consist of its unit weight, sorptivity, porosity amd compressive strength. Study object was treated by submerging in normal water in 28 days. The compressive strength of mortar with high mud content and added soil stabilization is higher 2.82%, 4.74%, 8.16%, 13.94% and 16.03% compared to mortar with high mud content without soil stabilization at 5%, 10%, 15%, 20% and 23% mud content variation.The porosity of mortar with high mud content and added soil stabilization is higher22,21% compared to mortar with high mud content without soil stabilization. Sorptivy test results added soil stabilization value 0,1 mm/min0,5- 0,2 mm/min0,5 which means mortar is good. The unit weight mortar with high mud level and added soil stabilization is higher by average unit weight 2,31 gr/cm3 compared to mortar with high mud content without soil stabilization. Based on the overall study, it’s concluded that the overall strength of mortar with high mud content and added soil stabilization is higher than mortar with high mud content without added soil stabilization.Keywords : Mud, Soil Stabilization, Mortar.

Kinerja Struktur Gedung Beraturan Dual System (Concrete Frame - RC Wall Structures) Menggunakan Metode Direct Displacement Based Design Dan Capacity Spectrum Method Purba, Raja Parulian; Djauhari, Zulfikar; Suryanita, Reni
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 3, No 2 (2016): Wisuda Oktober Tahun 2016
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Earthquake resistant structural design commonly used the concept of forced-based design (FBD). The concept is only based on the analysis of elastic structures and not directly indicated the performance of the building against the effects of the occurred earthquake. So, it requires a performance evaluation by conducting analyzes to reach a state of inelastic structure called the concept of performance-based design (PBD). In this study, there are two methods of performance analysis that were based on the lateral displacement of the inelastic conditions, the methods are Direct Displacement Based Design (DDBD) and Capacity Spectrum Method (CSM). The purposes of this study are to identify and to compare between the performance parameters of the methods. The structural model is a dual system regular building which combine a frame structure and reinforced concrete wall. The seismic load design in this study based on SNI 1726-2012. The reviewed parameter values are the displacement, base shear force, effective damping, and effective vibrating times. The results of this study indicated that all the parameter values of the DDBD method analysis are larger than CSM method. DDBD method produced a target displacement 0.545 m, the base shear force 38293.25 kN, effective damping 14.01%, and the effective vibrating times 3.826 seconds. Mean while the method of CSM produced target displacement 0.175 m, the base shear force 21728.978 kN, effective damping 5.40% and the effective vibrating times of 1.314 seconds. The evaluation of the structure performances which is based on ATC-40 indicated the DDBD method was on damage control level, whereas the CSM method was on the immediate occupancy level.Keywords: Inelastic, dual system regular building structure, direct displacement based design, capacity spectrum method, structure performance.

Monitoring Kesehatan Struktur Rangka Gedung Tidak Beraturan Berdasarkan Hasil Sensor Akselerometer Darmawan, Wan Fikri; Suryanita, Reni; Djauhari, Zulfikar
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 4, No 2 (2017): Wisuda Oktober Tahun 2017
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Indonesian especially those in urban areas, currently actively undertaking development in various fields especially building construction. If the building is not maintained during the designated life of the plan, then the resistance of the structure of the building will quickly decrease and cause the building will quickly be damaged. Therefore, one of the solutions for maintaining structural resistance required building inspection by using accelerometer sensor. Result of recordings accelerometer sensor will be used as a reference in determining structural damage, so it can determine healthy from structure. This research is obtained to give information response structure from accelerometer data. Structural damage can determine using the equations developed by Jer Fu Wang, Chi Chang, and Shih Min. The building model is irregular reinforced concrete with three levels and height between level is 3,5 m. Building model will receive a dynamic loads from the results of accelerometer sensor. The vibration data used is June 4 and December 11 of 2016 at 06.00, 12.00, 18.00 WIB. The vibration data will be input for building model in doing the linear time history analysis and static nonlinear pushover by using the software finite element. From the analysis, maximum structure behavior is 11 December 2016 at 12.00 WIB. The value of stiffness for pushover analysis in the first step is 5,454, the second step is 5,243, the third step is 5,477, and the fourth step is 5,560. The value of stiffness for linear time history is 5,599. The value of SDI (Story Damage Index) in the first step is 0,026, the second step is 0,064, the third step 0,022 and the fourth step is 0,007. From the results of this SDI, the irregular reinforced concrete building is still in healthy condition.Keywords: accelerometer sensor, structural damage, structural health monitoring

Sistem Sambungan Momen Tahan Gempa Pada Struktur Baja Bangunan Gedung Siregar, Andi Saputra; Sitompul, Iskandar Romey; Suryanita, Reni
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 7 (2020): Edisi 1 Januari s/d Juni 2020
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Based on SNI 1729 2015, there are two concepts in steel structure analysis and design, namely the concept of Load and Resilience Factor Design (LRFD) and Allowable Strength Design (ASD). The design of steel structures has to take into account the safety against earthquake loads according to the 2017 earthquake hazard map which is an update to the previous earthquake map published in 2010. This study aims to obtain the most effective type of steel structure connection in resisting earthquake loads by comparing 3 types of flexural connections between beam and column. The type of connection examined with study were bolted flange plate moment connection and end plate moment connections using stiffeners with four bolts and eight bolts. In this research a 10 floors building with steel structure is modelled. The dimensions of the building are 20 m x 15 m and the height of each story is 3.5 m except for the first story which is 4.5 m. The structure is analyzed by using SAP2000 version 21 software with LRFD and ASD methods. The building is located in the city of Pekanbaru with soft soil conditions. Based on the design result, it was found that the most suitable type of moment connection on the model is end plate moment connection using a stiffener with eight bolts, with a bearing capacity of the end plate of 4403.59 kN. From the structural analysis using the Direct Analysis Method (DAM) it is found that the internal forces in the structure are smaller when using a new earthquake hazard map. Finally, the connection design for this model by using ASD method is about 40% less efficient than by using the LRFD method.Keywords : LRFD, ASD, moment connections, earthquake hazard map 2017

Prediksi Respons Struktur Bangunan Berdasarkan Spektra Gempa Indonesia Di Pulau Sumatera Menggunakan Jaringan Saraf Tiruan Jingga, Hendra; Suryanita, Reni; Yuniarto, Enno
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 2, No 2 (2015): Wisuda Oktober Tahun 2015
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Sumatera Island is one of the most active seismic area in Indonesia. The high seismic acvitity combined with mostly soft soil condition turn some location in this island into a devastating shaking area especially for highrise building. If not well designed, highrise reinforced concrete (RC) building may experience excessive deformation and endanger its occupants.Due to these facts, this study aims to predict deformation characteristics of highrise RC building under earthquake loading using artificial neural network (ANN). Prior to ANNanalysis, modal response spectrum analysis is conducted to produce building response data sets. By selecting 8 capital cities and 3 other cities in Sumatera Island as seismic location,1080 data sets are generated for ANN training and 405 data sets for testing. The ANN analysis uses 3 layers: input layer, hidden layer, and output layer. Building geometry, soilcondition, and seismic load are selected as input parameters, while story-drift, velocity, and acceleration are selected as output parameters. After 6000 iterations at training process,average mean-squared errors (MSE) of 3x10-4 and 4x10-4 are achieved for training and testing process, respectively. The calculated R2 is ranging from 83% to 95% which isadequately high for prediction rate. This shows that ANN is a very promising tool to predict story-drift, velocity, and acceleration of highrise RC building under earthquake loading.Keywords: artificial neural network (ANN), Sumatera Island, modal response spectrum analysis, structural response

Estimation of standard penetration test value on cohesive soil using artificial neural network without data normalization Soewignjo Agus Nugroho; Hendra Fernando; Reni Suryanita
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i1.pp210-220

Artificial neural networks (ANNs) are often used recently by researchers to solve complex and nonlinear problems. Standard penetration test (SPT) and cone penetration test (CPT) are field tests that are often used to obtain soil parameters. There have been many previous studies that examined the value obtained through the SPT test with the CPT test, but the research carried out still uses equations that are linear. This research will conduct an estimated value of SPT on cohesive soil using CPT data in the form of end resistance and blanket resistance, and laboratory test data such as effective overburden pressure, liquid limit, plastic limit and percentage of sand, silt and clay. This study used 242 data with testing areas in several cities on the island of Sumatra, Indonesia. The developed artificial neural network will be created without data normalization. The final results of this study are in the form of root mean square error (RMSE) values 3.441, mean absolute error (MAE) 2.318 and R2 0.9451 for training data and RMSE 2.785, MAE 2.085, R2 0.9792 for test data. The RMSE, MAE and R2 values in this study indicate that the ANN that has been developed is considered quite good and efficient in estimating the SPT value.

Perilaku Struktur Jembatan Baja Pelengkung Berdasarkan Spektrum Gempa: Behavior of Curved Steel Bridge Structures Based on Earthquake Spectrum Widya Apriani; Fadrizal Lubis; Reni Suryanita; Elva Nidya Sari
JURNAL SAINTIS Vol. 19 No. 2 (2019)
Publisher : UIR Press

[ID] Perencanaan struktur jembatan baja pelengkung harus memperhatikan kemampuan respon strukturnya yang rentan terhadap deteriorasi akibat fatik, ancaman gempa bumi kuat atau angin topan, khususnya diwilayah sumatera yang mempunyai resiko gempa yang tinggi. Penelitian ini fokus memprediksi struktur jembatan pelengkung baja dengan analisis repons spectra dengan bantuan software analisis struktur gempa berdasarkan SNI 1726-2012. Percepatan gempa yang diambil berasal dari beberapa kota seperti Kota Aceh, Padang, Tanjung Pinang, dan Pekanbaru yang memliki karakteristik. Hasil analisis menunjukkan respon struktur jembatan terbesar terjadi di Padang dengan nilai perpindahan sebesar 0,016267 m dan percepatan sebesar 0,0235 m. Sementara itu, respons struktur terkecil terjadi di kota tanjung pinang dengan nilai perpindahan sebesar 0,01552 m dan nilai percepatan sebesar 0,0208 m. Diharapkan dengan diketahuinya hasil prediksi kesehatan struktur jembatan dapat digunakan sebagai referensi/masukan bagi pemerintah dan pihak yang terkait dalam usaha memperbaiki jembatan dengan tepat, sehingga diharapkan dapat mencegah terjadinya keruntuhan struktur jembatan. [EN] Curved steel bridge structure planning must pay attention to the responsiveness of the structure that is vulnerable to deterioration due to fatigue, the threat of strong earthquakes or hurricanes, especially in the region of Sumatra which has a high earthquake risk. This study focuses on predicting the structure of steel curved bridges with spectral response analysis with the help of earthquake structure analysis software based on SNI 1726-2012. The earthquake acceleration taken came from several cities such as Aceh City, Padang, Tanjung Pinang, and Pekanbaru which have characteristics. The analysis shows the largest bridge structure response occurred in Padang with a displacement value of 0.016267 and acceleration of 0.0235. Meanwhile, the smallest structural response occurred in Tanjung Pinang city with a displacement value of 0.01552 and an acceleration value of 0.0208. It is expected that by knowing the results of the bridge structure health predictions can be used as a reference / input for the government and related parties in an effort to repair the bridge appropriately, so that it is expected to prevent the collapse of the bridge structure.

Intelligent Monitoring System on Prediction of Building Damage Index using Neural-Network Mardiyono Mardiyono; Reni Suryanita; Azlan Adnan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 10, No 1: March 2012
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v10i1.773

An earthquake potentially destroys a tall building. The building damage can be indexed by FEMA into three categories namely immediate occupancy (IO), life safety (LS), and collapse prevention (CP). To determine the damage index, the building model has been simulated into structure analysis software. Acceleration data has been analyzed using non linear method in structure analysis program. The earthquake load is time history at surface, PGA=0105g. This work proposes an intelligent monitoring system utilizing artificial neural network to predict the building damage index. The system also provides an alert system and notification to inform the status of the damage. Data learning is trained on ANN utilizing feed forward and back propagation algorithm. The alert system is designed to be able to activate the alarm sound, view the alert bar or text, and send notification via email to the security or management. The system is tested using sample data represented in three conditions involving IO, LS, and CP. The results show that the proposed intelligent monitoring system could provide prediction of up to 92% rate of accuracy and activate the alert. Implementation of the system in building monitoring would allow for rapid, intelligent and accurate prediction of the building damage index due to earthquake.

Intelligent Bridge Seismic Monitoring System Based on Neuro Genetic Hybrid Reni Suryanita; Mardiyono Mardiyono; Azlan Adnan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 4: December 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i4.6006

The natural disaster and design mistake can damage the bridge structure. The damage caused a severe safety problem to human. The study aims to develop the intelligent system for bridge health monitoring due to earthquake load. The Genetic Algorithm method in Neuro-Genetic hybrid has applied to optimize the acceptable Neural Network weight. The acceleration, displacement and time history of the bridge structural responses are used as the input, while the output is the damage level of the bridge. The system displays the alert warning of decks based on result prediction of Neural Network analysis. The best-predicted rate for the training, testing and validation process is 0.986, 0.99, and 0.975 respectively. The result shows the damage level prediction is agreeable to the damage actual values. Therefore, this method in the bridge monitoring system can help the bridge authorities to predict the health condition of the bridge rapidly at any given time.

Co-Authors ', Ismeddiyanto ', smeddiyanto Abrar Rifqi Pratama Afisha, Elly Ahmad Hamidi Ahmad Obi Narman Ahmad Riadi Alex Kurniawandy Andi Wijaya Anggi Agusstiawan Appriliya Destiyani Ardiansyah, M. Syukri Ari Sandhyavitri Ari Vera Indra Ariadi, Koko Putra Arif Rahman Azlan Adnan Azlan Adnan Benny Hamdi Rhoma Beny Setiawan Brian Priadana Mulrony Dandio Ahmad Fansuri Darmawan, Wan Fikri Debi Setiawan Debi Setiawan, Debi Dede Eldi Kurniawan Dimas Arief Wicaksono Djauhari, Zulfikar Dwiqhee Abdul Ghani Dyna Aulia R Efendi, M. Rizal Dika Eki Syahyudi Elsa Aprilia Andoni Elsyani Eka Putri Elva Nidya Sari Enno Yuniarto Erizal ' Fadrizal Lubis Firzal, Yohannes Florisa Florisa Florisa Florisa Geovani Meiwanda Hanantatur Adeswastoto Harnedi Maizir Hendra Fernando Hendra Jingga, Hendra Heru Nurcahyo Heru Satiadi, Heru Heru Setiadi Ilham Akbar Imam Mustafa Iqbal Maulia Iskandar Romey Sitompul Iskandar Romey Sitompul Ismail Rahmadtulloh Ismed Diyanto Ismeddiyanto Ismeddiyanto Ismeddiyanto Ismeddiyanto Ismeddyanto Ismeddiyanto, Ismeddiyanto Ismeddiyanto, Ismeddiyanto Ismeddyanto Ismeddyanto Ismediyanto Ismediyanto Joni, Mustika Kamaldi, Alfian Kampati, Tri Budi Maharani Miranda Mamoru Kikumoto Mardiyono Mardiyono Mardiyono Mardiyono Mardiyono, Mardiyono Maya Rumiati Monita Olivia Muhamad Zulfakar Muhammad Gala Garcya Mustika Joni Nila Kamelia Nopember Toni Nopember Toni, Nopember Puri Awanda Cantikawati Putri, Ade Septiani Rahmadi Rahmadi Rahmiasari Rahmiasari Raja Parulian Purba, Raja Parulian Rama Dwi Aryandi Ramalia Noratama Putri Ramalia Noratama Putri Rendy Wijaya Revo Sedrian Putra Rexi Putra Rian Fajri Ramadanas Ricky Andriano Ridwan Ridwan Ridwan Ridwan Rizki Zulapriansyah Rofika Ratna Ardyansah Roma Dearni Satria Makahani Siregar, Andi Saputra Soewignjo Agus Nugroho Sondra Raharja Sri Agustin Sri Agustin Sri Fatma Reza Sri Fatma Reza, Sri Fatma Sri Indarti Suyanto Suyanto Syahnandito Syahyudi, Eki Syamsul Fikri Syauqi, Muhammad Tia Aurelia Tiara Monica Vindi Trisatria Vindy Salim Vomania, Vomania Wahyu Rahmadhan, Wahyu Wicaksono, Adhithiya Widianto, Devit Yenita Roza Yon Subagiono Yosi Alwinda Zulfikar Djauhari Zulfikar Djauhari Zulfikar Djauhari Zulfikar Djauhari Zulkarnain Zulkarnain Zunwanis Zunwanis

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