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All Journal Jurnal Teknik Sipil Journal of Geoscience, Engineering, Environment, and Technology INOVTEK POLBENG JUTEKS - Jurnal Teknik Sipil Journal of Green Science and Technology CSID Journal of Infrastructure Development (CSID-JID) Nusantara Civil Engineering Journal Jurnal Inovtek Seri Teknik Sipil dan Aplikasi (TekLA) Proceeding Applied Business and Engineering Conference Journal of Green Science and Technology
Faisal Ananda
Politeknik Negeri Bengkalis
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The Implementation Model for Creating Young Entrepreneurs Based on Bengkalis Local Business Potentials Through Industrial Incubator Based Learning Raflah, Wan Junita; Hendri, John; Ananda, Faisal; Sari, Evi Permata
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to analyze a model to create young entrepreneurs in Bengkalis. This study analyzed the roleof business incubator and the potential of local businesses in Bengkalis to develop a model for creating young entrepreneurs.The analysis method used a mix method, which combines descriptive qualitative analysis and quantitative analysis.Descriptive qualitative analysis is used to explain the perceptions of respondents through questionnaires. Quantitativeanalysis uses Structural Equation Modelling - Partial Least Square (SEM-PLS) to identify the roles of Industrial IncubatorBased Learning and Local Business Potentials to Create Young Entrepreneurs. The research results suggest that there ispotential for further development of prospective local businesses, even though the number of young entrepreneurs relativelysmall. The development of local businesses with greater support and resources potentially foster greater entrepreneurialinterest among young people. This research also found that The efforts by local governments and higher educationinstitutions to advance MSMEs have yet to reach their full potential. In addition, collaborative industrial incubator basedlearning has been introduced as an integrated learning framework to create young entrepreneurs in Bengkalis.
Behaviour Of Bamboo Reinforcement In Flexural Strength Of Sea Water Concrete Slab Alamsyah Alamsyah; Hery Waluyo; Muhammad Zulkarnain; Faisal Ananda; Zev Aljauhari
Journal of Green Science and Technology Vol 3 No 2 (2019): JOURNAL OF GREEN SCIENCE AND TECHNOLOGY
Publisher : Faculty of Engineering, Universitas Swadaya Gunung Jati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33603/jgst.v3i2.2385

Abstract

World Resources Institute data shows that there will be a fresh water crisis in 2040 including Indonesia. Responding to the above, many studies have been carried out using seawater, one of which is on concrete. Several studies have shown that seawater does not reduce the quality of concrete, but provides a corrosion effect on reinforcement.In this study, sea water concrete slabs have been made using bamboo as a reinforcement that will not corrode due to seawater. For concrete mix design refers to SNI SNI 03-2834-2000 and for slab flexural strength refers to 03-2847-2002. Slab specimens with sea water concrete that have been made consist of Slab concrete of steel reinforcement (SCS), Slab concrete of bamboo reinforcement V type notch (SCBV)  and Slab concrete of bamboo reinforcement  U type notch (SCBU).The result of the compressive strength of sea water concrete can reach the compressive strength of the plan. Tensile strength of bamboo reaches 223.5MPaand approaching the tensile strength of steel reinforcement. The maximum load of SCBV and SCBU were decrease than theoretical analysis of0.14% and 21.51% respectively. Otherwise, the maximum load of SCS greater than theoretical analysis with a difference of 14.67%. The flexural strength of the concrete slab was not affected by sea water as in compressive strength of cylinder.Keywords: Bamboo reinforcement slab, Flexural strength, Seawater concrete
Overview of the Function of Traffic Signs and Markers in Bengkalis City to the Level of Understanding of the Community: a case study of urban roads in Bengkalis District Arsyistawa, Arsyistawa; Ananda, Faisal
Nusantara Civil Engineering Journal Vol 2 No 2 (2023): Nusantara Civil Engineering Journal
Publisher : Civil Engineering Dept, Balikpapan State Polytechnics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/nuce.v2i02.489

Abstract

Traffic signs are part of road equipment in the form of symbols, letters, numbers, sentences, or a combination of these. Even though traffic signs and road markings are placed at various points in Bengkalis City, there are still problems in understanding and the low level of public compliance with traffic signs and markings. The method used in reviewing the function of traffic signs and markings in the city of Bengkalis on the level of understanding and compliance of the community is using quantitative and qualitative research types and analyzed using IBM SPSS Statistics 27 and classifying using a decision tree. From the research results obtained 61.11% signs with good condition, 38.89% with damaged conditions. The condition of the markings resulted in 27.16% of the markers with good conditions and 72.84% with damaged conditions. The level of public understanding of the function of traffic signs and markings is 77% understanding.
Optimization of Machine Learning Algorithms Through Outlier Data Separation for Predicting Concrete Compressive Strength Ananda, Faisal; Saputra, Hendra; Fahmi, Nurul; Prayitno, Eko; Shapie, Sinatu Sadiah; Bin Ikhwat, Mohamad Azwan; Nordin, Mohd Nur Azmi; Zain, Andicha; Binti Mohd. Nasir, Fadhillah
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 02 (2025): JGEET Vol 10 No 02 : June (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.02.21896

Abstract

This study investigates the comparative performance of ten machine learning models—Linear Regression, SVM, Neural Network, Decision Tree, Random Forest, Gradient Boosting, AdaBoost, XGBoost, LightGBM, and CatBoost—in predicting concrete compressive strength. The research emphasizes practical applications in construction, where accurate predictions can improve material design and structural reliability. Through detailed evaluation using MAE, RMSE, and R² metrics, CatBoost and Linear Regression emerged as top-performing models. A rigorous hyperparameter tuning process, employing grid search, significantly enhanced models like SVM and Neural Network, increasing their R² by over 80%. However, tuning occasionally led to reduced performance due to overfitting or unsuitable parameter selection. Outlier analysis using the Z-score method revealed nuanced effects across models: while SVM and Decision Tree benefited from outlier removal, models like Neural Network and CatBoost experienced performance degradation, indicating their reliance on diverse data patterns. These findings underscore the importance of tailored tuning and outlier handling strategies. Future work will incorporate advanced optimization techniques (e.g., Bayesian optimization) and robust cross-validation to further improve model generalization and stability.
Co-Authors Alamsyah Alamsyah Aljauhari, Zev Armada Sukri Arsyistawa, Arsyistawa Bin Ikhwat, Mohamad Azwan Binti Mohd. Nasir, Fadhillah Eko Prayitno Fauzan Fauzan Febry Suhendra Garcya, Muhammad Gala Gunawan Gunawan Gunawan, Saroji Hendra Saputra Hery Waluyo John Hendri Juli Ardita Pribadi Junaidi Junaidi Muhammad Zulkarnain Musyafa Musyafa Nordin, Mohd Nur Azmi Nurul Fahmi Nurul Fahmi Oni Febriani Ruddy Kurniawan S.Pd. M Kes I Ketut Sudiana . Sari, Evi Permata Shapie, Sinatu Sadiah Suhada Suhairi Suhairi Suhendra, Febry Waluyo, Hery Wan Junita Raflah Zain, Andicha Zarina Zarina Zev Al Jauhari Zev Aljauhari