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BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil

bentang
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Published by Universitas Islam 45 Bekasi

ISSN : 23025891 EISSN : 25793187 DOI : https://doi.org/10.33558/bentang

Core Subject : Engineering,

Civil Engineering, Building, Construction & Architecture Transportation

BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil is theoritical and applied Civil Engineering journal for scientific publication issued twice in every volume (January and July). First published in January 2013, already indexed by Dimensions, Google Scholar, Base, Garuda, and Sinta. BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil is the journal open access. BENTANG : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil p-ISSN: 2302-5891, e-ISSN: 2579-3187 is a peer-reviewed, scientific journal published by Universitas Islam 45 Bekasi. FOCUS & SCOPE: Structural Engineering Construction Engineering & Management Geotechnical Engineering Transportation Engineering Water Resources Engineering

Arjuna Subject : Teknik (semua kategori) - Teknik Sipil dan Struktur

Articles 452 Documents

42 43 44 45 46

Prediksi Debit Air Embung Kolong PL Menggunakan Jaringan Syaraf Tiruan Bella Agustin; Adriyansyah Adriyansyah; Ineu Sulistiana
Bentang : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil Vol 14 No 1 (2026): BENTANG Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil (January 2026)
Publisher : Universitas Islam 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/bentang.v14i1.11690

The Bangka Belitung Islands Province frequently experiences drought, making it difficult to meet the clean water needs of local communities. The clean water crisis has become a significant issue as it repeatedly occurs during the dry season. This problem can be addressed by conducting mapping in the form of water discharge prediction for water sources that have the potential to be developed as raw water sources. One of the most abundant potential raw water sources in the Bangka Belitung Islands Province is the former tin-mining ponds (locally called kolong). One approach to assess the potential of these ponds as raw water sources is by predicting their water discharge. This study aims to predict the water discharge of the Kolong PL reservoir located in Pangkalan Baru District using an Artificial Neural Network (ANN) method with a feedforward backpropagation approach. The input dataset consists of monthly water discharge data from January 2007 to December 2023. The ANN model was developed and compared with empirical approaches to evaluate the effectiveness of neural networks in predicting water discharge. The results show that the Mean Absolute Percentage Error (MAPE) for the training data is very good at 10.10%, while the testing data exhibits weak predictive performance with a MAPE of 62.72%. This disparity indicates that the ANN’s performance is highly dependent on the selection of the network architecture, particularly the optimal number of hidden layers. Determining the appropriate number of hidden layers requires multiple simulations to achieve the configuration that produces high predictive accuracy. To strengthen the validity of the ANN model, a simple comparison was conducted using linear regression and ARIMA. The linear regression model yielded a training MAPE of 34% and a testing MAPE of 70%, while the ARIMA (1,0,1) model produced a testing MAPE of 66%. These results indicate that the ANN does not provide a significant advantage in the testing phase, although its training performance is superior to both linear regression and ARIMA. This study indicates that the ANN method has strong potential for learning water discharge patterns; however, optimization of the network architecture is required to achieve accurate predictions. The implications of this research highlight that developing an optimally configured ANN-based prediction model can serve as a valuable foundation for planning and managing raw water resources in the Bangka Belitung Islands region.

Perilaku Teganga-Regangan Beton Ringan Densitas Rendah yang dikonfin oleh FRP Butje Alfonsius Louk Fanggi; Hazen Masrafat; Joko Suparmanto; Abdul Syukur Hadi Suwito; Indradhi Lasmana
Bentang : Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil Vol 14 No 1 (2026): BENTANG Jurnal Teoritis dan Terapan Bidang Rekayasa Sipil (January 2026)
Publisher : Universitas Islam 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/bentang.v14i1.11833

This study investigates the axial compressive behaviour of very-low-density lightweight concrete confined with fibre-reinforced polymer (FRP) jackets to improve understanding of its structural performance. The research aims to evaluate how confinement level, concrete strength, density, and fibre type influence confined strength and ductility in square sections. An experimental program was conducted using 150 mm × 150 mm × 300 mm lightweight concrete specimens with a target density of approximately 1550 kg/m³, wrapped with carbon FRP (CFRP) and glass FRP (GFRP) in two-an- three-layer configurations. Axial compression tests were used to establish stress–strain relationships and to determine key parameters, including confined strength ratio and ultimate strain ratio. The results show that FRP confinement produces substantial increases in both compressive strength and strain capacity, with fʹcu/fʹc values up to about 3.29 and εcu/εco ratios exceeding 20, confirming the high confinement efficiency attainable in very-low-density mixes. Higher strength concrete achieved greater ultimate stress but lower ultimate strain, whereas lower density concrete developed larger ultimate strains under effective jacketing. Comparisons between CFRP and GFRP revealed that, in some cases, GFRP confinement provided comparable or superior enhancement of strength and deformability, emphasising the role of material compatibility and installation quality. Overall, the findings extend the experimental database for FRP-confined lightweight concrete at densities near 1550 kg/m³ and highlight the need for refined predictive models and design provisions tailored to this density range.

Page 46 of 46 | Total Record : 452

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Editorial Team

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Reviewer

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Contact Name
Anita Setyowati Srie Gunarti

Contact Email
anitassgunarti@gmail.com

Phone
+6281323206332

Journal Mail Official
bentangunismabekasi@gmail.com

Editorial Address
Jl. Cut Meutia No. 83 Bekasi

Location
Kota bekasi,

Jawa barat

INDONESIA

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Anita Setyowati Srie Gunarti

Contact Email anitassgunarti@gmail.com

Phone +6281323206332

Journal Mail Official bentangunismabekasi@gmail.com

Editorial Address Jl. Cut Meutia No. 83 Bekasi

Location Kota bekasi, Jawa barat INDONESIA

Abstract

Abstract

Contact Name
Anita Setyowati Srie Gunarti

Contact Email
anitassgunarti@gmail.com

Phone
+6281323206332

Journal Mail Official
bentangunismabekasi@gmail.com

Editorial Address
Jl. Cut Meutia No. 83 Bekasi

Location
Kota bekasi,

Jawa barat

INDONESIA