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INDONESIA
Teknisia
Published by Universitas Islam Indonesia
ISSN : 08538557     EISSN : 27460185     DOI : 10.20885/teknisia
Core Subject : Engineering,
Engineering
Jurnal Teknisia terbit pertama kali pada bulan April 1996. Pada awal berdirinya, Jurnal Teknisia merupakan jurnal ilmiah berkala yang diterbitkan tiga kali setahun oleh Fakultas Teknik Sipil dan Perencanaan, Universitas Islam Indonesia, Daerah Istimewa Yogyakarta yang berisi artikel-artikel bidang teknik sipil, teknik lingkungan, dan arsitektur.
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Articles 143 Documents
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Pengaruh Penambahan Vermikulit pada Beton Normal Terhadap Kuat Lentur Balok Terdukung Sederhana Lintang Dian Artanti; Malik Mushthofa
Teknisia Vol 28 No 2 (2023): Teknisia
Publisher : Jurusan Teknik Sipil, Fakultas Teknik Sipil dan Perencanaan, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknisia.vol28.iss2.art6

Abstract

Concrete innovation in the construction industry continues to grow until now. One of the substantial innovations made is adding a material called vermiculite. If changes in compressive strength of concrete were observed in the previous study, then changes in concrete weight and flexural strength of concrete with the addition of vermiculite as much as 12%, 24%, and 36% were observed in this study. Concrete specimens were cured with water for 28 days and then weighted and tested for flexural strength with two loading points. The test results show that the lightest concrete is found in concrete with the addition of 36% vermiculite, with a weight difference of 0.03% lighter than normal concrete. Based on the results of the flexural strength test, the addition of 36% vermiculite makes the flexural strength of concrete 42.75% higher than normal concrete. This improvement proves that vermiculite's high water absorption properties can reduce the excess water content in concrete to reduce its weight, making the concrete denser and increasing its flexural strength.
Microzonation of soil resistance using shear wave velocity (Vs) for earthquake disaster mitigation in Singaran Pati District, Bengkulu City Dhanty Kirana, Virgie; Mase, Lindung Zalbuin; Supriani, Fepy; Misliniyati, Rena; Amri, Khairul
Teknisia Vol 30 No 2 (2025): Teknisia
Publisher : Jurusan Teknik Sipil, Fakultas Teknik Sipil dan Perencanaan, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknisia.vol30.iss2.art2

Abstract

Singaran Pati District, Bengkulu City, is located in an active subduction zone, making it prone to seismic activity. However, to date, there is no detailed microzonation map available to assess local vulnerability to earthquake shocks. This study aims to produce a microzonation map based on shear wave velocity (Vs) and Ground Amplification Factor (GAF) parameters as indicators of soil resistance. Vs values are calculated sequentially at depths of Vs10, Vs20, Vs30, Vs40, and Vs50 using spectral inversion methods. Soil site classification is based on NEHRP standards. Spatial interpolation uses the Inverse Distance Weighting (IDW) method to map parameter distribution. Results show that Vs velocity increases with depth, with a dominance of Class D sites (moderate soil), followed by Class C (very dense soil and soft rock), and a small portion of Class B (moderate rock). The GAF map identifies points with the highest amplification that are at high risk of damage due to earthquakes. The maximum Ground Amplification Factor (GAF) value is shown in red on the map, with a value of 2.0, while the minimum value is shown in green, representing a value of 1.0. This condition indicates that some areas in Singaran Pati Subdistrict have a significant potential for earthquake impact. Therefore, the use of microzonation maps is crucial as a basis for structural building planning and seismic risk mitigation in the Singaran Pati area.
Performance assessment of glass powder as filler in AC-WC asphalt exposed to Bekasi River Water Ardhya Alga Lingga; Hadi, Muhamad Abdul
Teknisia Vol 30 No 2 (2025): Teknisia
Publisher : Jurusan Teknik Sipil, Fakultas Teknik Sipil dan Perencanaan, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknisia.vol30.iss2.art5

Abstract

Frequent flooding in Indonesia causes significant infrastructure damage, including deterioration of asphalt pavements. Bekasi City was selected as the study area due to its river system characteristics, which make the region highly susceptible to prolonged inundation. This study evaluates glass powder (GP) as an alternative filler in AC-WC mixtures and examines performance under simulated flooding. Five GP substitution levels (0%, 25%, 50%, 75%, and 100%) were tested and immersed in Bekasi River water for 0, 24, and 48 hours. Performance was assessed through Marshall Standard (MS), Indirect Tensile Strength ( ITS), Index of Retained Strength (IRS), Tensile Strength (TSR), and Cantabro Loss (CL) testing. Results show that GP affects all performance parameters, with 75% substitution exhibiting the best behavior among modified mixtures. However, all GP mixtures showed lower stability and ITS compared to the control, and full substitution (100%) resulted in the greatest performance decline. Longer immersion further reduced stability, ITS, TSR, and IRS while increasing flow, indicating higher moisture susceptibility. CL decreased with GP addition except at 100% substitution or extended immersion, where mass loss increased. Overall, while 75% GP substitution showed the best relative performance and remained functional up to 24 hours of immersion, long-term soaking led to significant degradation. GP shows potential as a sustainable filler, but improvements are required for use in flood-prone areas.
Evaluating pavement condition using roadroid and Surface Distress Index (SDI): a case study of Klangon-Tempel Road, Yogyakarta Special Province Ahmad, Fauji; Kushari, Berlian
Teknisia Vol 30 No 2 (2025): Teknisia
Publisher : Jurusan Teknik Sipil, Fakultas Teknik Sipil dan Perencanaan, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknisia.vol30.iss2.art3

Abstract

Acquiring accurate condition out of pavement evaluation can prove to be a challenge, particularly for local road agencies in Indonesia with limited resources. Conventionally, road condition is expressed in terms of the Surface Distress Index (SDI) and the International Roughness Index (IRI) that need time-consuming and labor-intensive road surveys. Advancements in smartphone technology has paved the way to a lower-cost and more rapid pavement evaluation by using applications such as Roadroids for IRI measurements. This study is aimed at exploring the viability of Roadroids-based IRI for pavement evaluation purposes. Klangon-Tempel road section in Yogyakarta Special Province was selected as the study area, on which a manual SDI and two Roadroid-IRI surveys were conducted. The two Roadroid surveys involved two different vehicle types: a sport utility vehicle (SUV) and a multi-purpose vehicle. The results showed that MPV-survey produced higher IRI values and were more consistent with pavement distresses observed through SDI survey, demonstrating a strong correlation coefficient of r=0.813. In contrast, SUV-survey showed significantly lower IRI values that overestimate overall pavement condition of the study area. No detailed investigation was made, but MPV features such as lower ground clearance and softer suspension system may contribute to cause the different outcomes. Complementing this, a range-based SDI–IRI analysis showed that SDI and IRI are consistent at low-distress levels but display substantial overlap across medium-to-high SDI categories, reflecting their inherently non-linear relationship. The findings suggests that, with appropriate type of vehicle, Roadroid can be a viable choice to conduct rapid IRI-based pavement evaluation, and thereby complement the traditional SDI surveys.
Optimizing ceramic waste content in concrete mix design: model development and android application Andaryati, Andaryati; Suharso, Akbar Bayu Kresno; Raharja, Danang Setiya; Saurina, Nia
Teknisia Vol 30 No 2 (2025): Teknisia
Publisher : Jurusan Teknik Sipil, Fakultas Teknik Sipil dan Perencanaan, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknisia.vol30.iss2.art4

Abstract

There is an increasing need for practical tools that help users determine the appropriate mix composition of concrete incorporating ceramic waste as a partial fine aggregate replacement. Such tools can simplify the process of designing environmentally friendly concrete while ensuring that the resulting material meets the required strength standards. This study aims to determine the percentage of concrete mixture utilizing ceramic waste as a substitute for fine aggregates in concrete, assess its impact on concrete compressive strength using the RMSE method, and visualize it through Android modulator technology. Compressive strength tests were based on the previous research study, with curing intervals of 7, 14, and 28 days. The concrete quality test results indicate that concrete mixed with ceramic waste as a partial replacement for fine aggregates produces a strength that meets the standard for normal concrete, ranging between 30 - 40 MPa. A polynomial regression model synthesis based on the available laboratory data demonstrated good reliability, with an RMSE value of 0.172. Furthermore, using an Android emulator technology named BetonKU, the application successfully visualized the concrete mix design composition incorporating ceramic waste as a fine aggregate substitute according to the input data for the designed concrete strength.
Evaluation of liquefaction potential in reworked volcanic-colluvial deposits of the Bawen Area, Semarang Regency Vidayanti, Desiana; Ramli Nazir; Ratnaningsih, Ratnaningsih; Komerdevi, Det; Simatupang , Pintor Tua; Fitriani, Eka Nur
Teknisia Vol 30 No 2 (2025): Teknisia
Publisher : Jurusan Teknik Sipil, Fakultas Teknik Sipil dan Perencanaan, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknisia.vol30.iss2.art1

Abstract

Liquefaction is a major geotechnical hazard that can severely damage infrastructure in earthquake-prone areas. This study evaluates the liquefaction potential of volcanic–colluvial deposits in Semarang Regency, Central Java, using Standard Penetration Test (SPT) data and the Simplified Procedure of Seed and Idriss (1971). Cyclic Stress Ratio (CSR) and Cyclic Resistance Ratio (CRR) were computed to obtain Factors of Safety (FS) under three earthquake scenarios (Mw = 5.0, 5.9, and 6.5). Results show that for Mw = 6.5, the shallow sandy layers at 0-3 m have FS = 0.07-0.21 (highly susceptible), while the 4.5-9 m interval is FS = 0.8-0.96 (marginal to near-threshold) and and the >10 m strata remain stable (FS > 1.2). For Mw = 5.9, shallow liquefaction is confined to 0-3 m (FS = 0.09-0.27), with the 4.5-9 m zone showing FS = 1.0-1.2 (marginal to stable). Even for Mw = 5.0, the 0-3 m layer yields FS = 0.14-0.41, indicating liquefaction susceptibility, whereas deeper layers are stable (FS > 1.0-1.2). These findings indicate that loose, saturated silty-sand layers with shallow perched groundwater are the most critical to cyclic softening. The site is underlain by reworked volcanic-colluvial materials derived from Mount Ungaran, characterized by fine-grained, near-saturated deposits within the upper 10 m. Compared with previous studies in northern Semarang, this study highlights the moderate liquefaction susceptibility of southern volcanic-colluvial terrains, an area rarely analyzed in Central Java and provides practical insights for toll-road foundation design and mitigation strategies in similar geological settings.
Implementation of Artificial Neural Network (ANN) for identifying design indicators of temporary modular shelters Sari, Sely Novita; Sarwidi; Nugraheni, Fitri; Musyafa', Albani
Teknisia Vol 30 No 2 (2025): Teknisia
Publisher : Jurusan Teknik Sipil, Fakultas Teknik Sipil dan Perencanaan, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknisia.vol30.iss2.art6

Abstract

The demand for fast, efficient, and adaptive emergency housing continues to increase, especially in disaster-prone areas and large-scale displacement situations. The determination of the design of Temporary Modular Shelter (TMS) so far still depends a lot on subjective considerations, so a more systematic and data-based approach is needed. This study develops and validates an Artificial Neural Network (ANN) model to identify the most suitable TMS design based on performance indicators and expert assessment. The approach was carried out through the Systematic Literature Review (SLR) stage, the determination of eight key design indicators, and assessment by 150 multidisciplinary respondents. The ANN model was built using a dense four-layer architecture with a total of 1,780 parameters and trained for 400 epochs using the TensorFlow and Keras libraries. The results showed a validation accuracy of 96% and a macro F1-score of 0,9146, indicating the stability and reliability of the model. Analysis of the contribution of features with the SHAP method revealed that the indicators of assembly methods, availability of human resources, and availability of local materials had the greatest influence on the classification results. This model has proven to be effective as a decision support system that is able to increase objectivity and efficiency in the TMS design process. Further development is suggested through integration into web-based digital platforms or mobile applications to support rapid and adaptive emergency response planning.
Exploring future inundation risk due to sea level rise using CMIP6 models in Indonesia Pratiwi, Dwi Astuti Wahyu Wulan; Hiromune Yokoki
Teknisia Vol 31 No 1 (2026): Teknisia
Publisher : Jurusan Teknik Sipil, Fakultas Teknik Sipil dan Perencanaan, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknisia.vol31.iss1.art1

Abstract

Sea level rise (SLR) is one of the most significant impacts of climate change which threatening coastal areas, particularly in archipelagic countries like Indonesia. This study projects the extent of inundation, the number of at-risk populations, and estimates of damage cost due to SLR through 2100. The analysis was conducted by combining the projections of sea level (zos and zostoga) from five CMIP6 models: MIROC6, ACCESS-ESM1-5, CanESM5, NorESM2-MM and MRI-ESM2-0, elevation data from ETOPO2022, tides from TPXO10, and population data from NCAR and IIASA. The estimated damage cost was calculated using a regression model based on historical disaster data from EM-DAT. The findings of the analysis indicate that, without mitigation and adaptation measures, Indonesia could experience permanent inundation of 18,700 to over 39,500 km² with an affected population of around 10 million in 2100. National damage cost due to SLR is projected to reach USD 7 billion in 2050 and increase to USD 10 billion in 2100 in high emission scenario. The provinces with the highest physical impact are South Kalimantan and South Sumatra, highest social impact and damage cost occur in East Java and South Kalimantan. These findings emphasize that climate change mitigation and adaptation policies in Indonesia must be planned equitably and supported by robust projections.
Value engineering using Indonesia’s 2022 National Guideline through decision-making framework for cost optimization in highway infrastructure projects: a case study Abma, Vendie; Citra Dwi Puspita Sari; Tri Nugroho Sulistyantoro; Rizki Budiman
Teknisia Vol 31 No 1 (2026): Teknisia
Publisher : Jurusan Teknik Sipil, Fakultas Teknik Sipil dan Perencanaan, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknisia.vol31.iss1.art2

Abstract

Infrastructure project often requires a balancing manage between design needs, functional performance, and limited financial resources. It has driven the need for Value Engineering (VE) methods to enhance projects and optimize cost without reducing the quality and performance. This study aims to explore the field implementation of Indonesia’s National Technical Guideline No. 4/P/BM/2022 by the Directorate General of Highways (Bina Marga) on VE within a toll road infrastructure project, using the Solo–Yogyakarta Toll Road (Package 1.2) as a case study. Emphasizing value optimization and cost optimization, the study adopts a mixed-method approach that integrates a Pareto principle-based identification of major cost components, a zero–one decision matrix to assess several common borrow material (CBM) sources, a cost–benefit evaluation, and expert insights from fifteen experienced highway engineers. The findings show that combining the use of both Wedi and Sampang quarries provides the best overall value, offering the optimal balance of haul distance, material quality, operational feasibility, and total project costs. The recommended choice results in a cost saving of IDR 51.16 billion (5.05%) while maintaining the required functional performance. Results of the study confirm that systematically implementing the national VE guideline can effectively guide decision-making, enhance project value, and deliver measurable economic benefits. The evaluative process developed offers a practical and replicable framework for applying VE procedures in infrastructure projects, especially in developing countries that need structured methods for cost optimization.
Optimization of concrete material supply chain in construction projects using the artificial satellite search algorithm Sholeh, Moh Nur; Wibowo, Mochamad Agung; Fauziyah, Shifa
Teknisia Vol 31 No 1 (2026): Teknisia
Publisher : Jurusan Teknik Sipil, Fakultas Teknik Sipil dan Perencanaan, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknisia.vol31.iss1.art6

Abstract

Efficient management of the concrete supply chain is essential for minimizing project delays, reducing costs, and maintaining construction quality. However, the interdependence among batching plants, transportation fleets, and construction sites introduces nonlinear and dynamic challenges that make scheduling optimization highly complex. This study proposes the Artificial Satellite Search Algorithm (ASSA), a novel metaheuristic inspired by the orbital motion and trajectory control of artificial satellites, to optimize concrete material logistics in construction projects. ASSA models the exploration–exploitation process as a dynamic orbital adjustment, enabling adaptive transitions between global search and local refinement. The optimization aims to minimize total logistics cost and delivery delay while adhering to capacity and time constraints. Comparative experiments conducted using both benchmark datasets and real project conditions show that ASSA outperforms Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), achieving a 10.2% cost reduction and a 14.7% improvement in convergence speed. The results demonstrate that ASSA provides a robust and efficient alternative for optimizing material supply chain scheduling in construction management.

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