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All Journal REKAYASA Journal of Artificial Intelligence and Digital Business Scripta Technica: Journal of Engineering and Applied Technology Proceeding of The International Conferences on Engineering Sciences
antonius antonius
Universitas Islam Sultan Agung
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Physics

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Assessment of Steel Structure Connections After Fire Exposure Through Bolt Torque Testing and Dye Penetrant Inspection Zel Citra; Antonius Antonius; Agung Wahyudi Biantoro
Proceeding of the International Conferences on Engineering Sciences Vol. 2 No. 1 (2025): January : Proceeding of the International Conferences on Engineering Sciences
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/iconfes.v2i1.41

Abstract

In 2022, a significant fire incident occurred at a steel tower structure in an industrial plant in Lampung, Indonesia, raising serious concerns about the structural integrity and serviceability of the affected steel framework. Fire exposure is known to alter the properties of steel, weaken bolt pretension, and cause defects in welds, underscoring the necessity of thorough post-fire assessments. Nondestructive testing (NDT) methods are crucial in evaluating the safety and stability of structures after fire exposure, as they can detect potential weaknesses without compromising the material further. This study employed two field inspection methods: the bolt torque test and dye penetrant inspection (DPI). A total of 21 bolts (Tor-1 to Tor-21) were tested for their integrity. The results showed that, while all bolts were present, more than half were found to be loosened, indicating the need for re-tightening to restore the specified torque and maintain the required preload for the bolted connections. In addition, 20 welded joints (DP-1 to DP-20) were examined using DPI to detect surface defects. The inspection revealed that 10 welds (50%) exhibited surface defects exceeding 5 mm in length, indicating areas where the welds had been compromised by the fire exposure. Seven welds (35%) were found to be in acceptable condition, while 2 welds (10%) were incomplete or had poor bonding. These findings suggest that while the bolted joints can be restored through corrective re-tightening, the welded joints require more extensive evaluation, local repairs, or even rewelding to ensure their structural integrity. This study highlights the importance of NDT methods in post-fire structural evaluations and recommends periodic inspections and targeted rehabilitation to ensure the long-term reliability and safety of industrial steel structures.
Pengaruh Serat Eceng Gondok dalam Campuran Beton Self Compacting Concrete (SCC) terhadap Flowability dan Kuat Tekan Aldy Rizaldy; Sandi Winanda Giardi; Antonius Antonius
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.8688

Abstract

Eceng gondok (Eichhornia crassipes) merupakan gulma air invasif yang melimpah dan sering dianggap sebagai limbah lingkungan, padahal memiliki kandungan serat selulosa tinggi yang berpotensi meningkatkan performa beton. Penelitian ini bertujuan untuk menganalisis pengaruh penambahan serat eceng gondok terhadap sifat alir (flowability) dan sifat mekanik Self Compacting Concrete(SCC). Metode eksperimen laboratorium digunakan dengan variasi kadar serat eceng gondok sebesar 0%, 0,5%, 0,75%, dan 1% dari berat semen. Pengujian beton segar meliputi slump flow test, V-funnel test, dan L-box test mengacu pada standar EFNARC, sedangkan pengujian beton keras meliputi kuat tekan, kuat tarik belah, dan kuat lentur pada umur 7 dan 28 hari. Hasil penelitian menunjukkan bahwa penambahan serat eceng gondok menurunkan nilai slump flow dari 700 mm (beton normal) menjadi 600–650 mm, serta meningkatkan waktu alir V-funnel hingga 12,48 detik pada kadar 0,5%. Meskipun demikian, seluruh variasi masih memenuhi kriteria EFNARC untuk filling ability, viscosity, dan passing ability. Pada pengujian mekanik, kuat tekan optimum umur 28 hari dicapai oleh variasi 0,5% sebesar 31,81 MPa, sedikit melampaui beton normal 31,44 MPa. Sebaliknya, kuat tarik belah dan lentur tertinggi tetap dihasilkan oleh beton normal, masing-masing 3,31 MPa dan 4,88 MPa. Penambahan serat di atas 0,5% cenderung menurunkan seluruh sifat mekanik secara signifikan, dengan penurunan kuat tekan hingga 33,68% pada kadar 1%. Disimpulkan bahwa penggunaan kadar serat 0,5% merupakan komposisi paling efektif dalam menjaga keseimbangan antara workability dan stabilitas kuat tekan, sekaligus menawarkan solusi potensial untuk pengelolaan limbah eceng gondok.
Analisis Kuat Tekan, Kuat Belah, dan Kuat Lentur Beton Menggunakan Limestone dan Bestmittel Sebagai Bahan Tambah Juanito Eka Setiawan; Ricky Muhammad; Antonius Antonius
Journal of Engineering and Applied Technology Vol 2 No 1 (2026): : June: Scripta Technica: Journal of Engineering and Applied Technology
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/gbspts61

Abstract

This study aims to analyze the effect of adding limestone and bestmittel on the compressive strength, splitting tensile strength, and flexural strength of concrete as an effort to improve the mechanical properties of concrete. The study employed a laboratory experimental method using test specimens in the form of concrete cylinders and beams consisting of normal concrete, variations with 10% limestone and 0.25% bestmittel, and 10% limestone and 0.5% bestmittel. Testing was conducted at 7 and 28 days of age through compressive strength, split tensile strength, and flexural strength tests. The results showed that the addition of limestone and bestmittel was able to improve concrete performance in certain mixtures. The highest compressive strength value was obtained in the 10% limestone and 0.25% bestmittel mixture, at 25.370 MPa at 28 days of age. Split tensile strength and flexural strength tests showed optimal results in the 10% limestone and 0.5% Bestmittel mixture, with split tensile strength of 2.205 MPa and flexural strength of 2.951 MPa. The addition of limestone and Bestmittel was proven to increase mixture density, improve workability, and enhance the mechanical quality of the concrete.    
Exploration of Road Damage Parameters Using Surface Distress Index (SDI) in Enhancing Urban Road Infrastructure Maintenance Planning Yogi Oktopianto; Antonius Antonius; Abdul Rochim
Rekayasa Vol 19, No 1: 2026
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v19i1.31746

Abstract

Effective road infrastructure maintenance is essential to ensure the sustainability and safety of the transportation system, particularly in urban areas. This study focuses on the application of the Surface Distress Index (SDI) in road condition assessment using a regression model to explore various factors affecting road damage. The methodology used included data collection through field surveys on 42 urban road segments with 2,467 observational data points. The collected data comprised information on crack length and width, potholes, and rutting. Multiple linear regression analysis and the exploration of non-linear models were conducted to evaluate the relationship between these variables and road conditions. The results showed that the number of potholes had the strongest correlation with the SDI, followed by crack width and rutting. The logarithmic model proved to be the most efficient in predicting road conditions, with an R2 value of 0.75, an Akaike Information Criterion (AIC) of 22,856.35, and a Bayesian Information Criterion (BIC) of 22,879.59, indicating a balance between simplicity and the ability to explain variance in the data. This study contributes to the development of data-driven road maintenance methodologies, which can be applied in planning road maintenance that is more accurate, efficient, and sustainable.
Co-Authors Abdul Rochim Agung Wahyudi Biantoro Aldy Rizaldy Citra, Zel Juanito Eka Setiawan Ricky Muhammad Sandi Winanda Giardi Yogi Oktopianto