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Dedi Purwanto Indra Kusuma
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journal.reswara@gmail.com
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+6281803690231
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journal.reswara@gmail.com
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Jl. Swadaya No. 28 Kekalik Kijang, Kel. Kekalik Jaya, Kec. Sekarbela, Kota Mataram - NTB 83116
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Kota mataram,
Nusa tenggara barat
INDONESIA
RESWARA: Jurnal Riset Ilmu Teknik
ISSN : -     EISSN : 30259444     DOI : https://doi.org/10.70716/reswara
Core Subject : Engineering,
RESWARA: Jurnal Riset Ilmu Teknik is a leading scholarly platform that examines the strategic role of engineering disciplines in advancing the Sustainable Development Goals (SDGs). The journal is dedicated to publishing recent research, innovations, and engineering solutions that support sustainable development. The editorial board welcomes manuscripts based on theoretical frameworks and empirical research. The journal scope covers scientific knowledge and research-based information, including applied research and recent developments in engineering research and development. The primary focus includes Civil Engineering and Spatial Planning, Industrial Engineering, Electrical Engineering and Informatics, Earth Science Technology, and Naval Architecture. All manuscripts published in RESWARA undergo a double-blind peer review process. The final decision on manuscript acceptance rests with the Editorial Board, based on recommendations from independent peer reviewers.
Articles 157 Documents
Spatiotemporal Analysis of Surface Temperature Changes and Their Associated Factors in West Java Sodikin Sodikin
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 3 (2026): RESWARA: Jurnal Riset Ilmu Teknik, July 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i3.821

Abstract

Land Surface Temperature (LST) is an important indicator for understanding environmental dynamics associated with regional development and changes in biophysical conditions. This study aimed to analyze the spatial-temporal changes in LST and identify anthropogenic and biophysical factors associated with surface temperature changes in West Java Province during 2014–2026. The analysis was conducted for 2014, 2018, 2022, and 2026 using Landsat 8 and Landsat 9 Collection 2 Level-2 imagery processed through Google Earth Engine. LST was derived from surface temperature data, while the analyzed factors included changes in NDVI, NDBI, built-up areas, building density, elevation, slope, water-body density, and soil moisture. LST changes were analyzed using image differencing and classified into five categories. Pearson correlation analysis was applied to examine the relationships between LST changes and the selected factors. The results showed heterogeneous spatial patterns of LST changes, with increasing temperatures mainly occurring in urban areas, development corridors, lowland regions, and several coastal areas. Changes in built-up areas showed the strongest relative correlation with LST changes (|r|=0.061), although the relationship remained very weak, followed by changes in NDBI (|r|=0.046), while changes in soil moisture showed the weakest correlation (|r|=0.002). Overall, LST changes represent a complex phenomenon that cannot be explained by a single factor. Therefore, a multivariate approach and integrated spatial management are needed to better understand thermal dynamics and support climate-resilient regional development in West Java.
Analysis of Factors Affecting Cost Efficiency and Project Completion Time on the Serang-Panimbang Toll Road Aditya Wicaksono; M. Zaki
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 4 (2026): RESWARA: Jurnal Riset Ilmu Teknik, October 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i4.745

Abstract

The implementation of innovative construction methods is essential to improve cost efficiency and project completion in infrastructure development. This study analyzes the influence of top management, human resources, engineering, and external factors on project cost efficiency, as well as the effect of project cost efficiency on project completion time in the Serang–Panimbang Toll Road Project through the implementation of the Halfslab method. A quantitative approach with a descriptive design was employed using census sampling involving 58 respondents directly involved in the project. Data were collected through questionnaires and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results indicate that top management (β = 0.273; p < 0.001), human resources (β = 0.344; p < 0.001), engineering (β = 0.272; p = 0.001), and external factors (β = 0.292; p = 0.005) have positive and significant effects on project cost efficiency. Furthermore, project cost efficiency positively and significantly affects project completion time (β = 0.540; p < 0.001). Human resources were identified as the most influential factor in improving cost efficiency. These findings demonstrate that the successful implementation of the Halfslab method depends on effective managerial support, competent human resources, appropriate engineering practices, and proper management of external factors to achieve cost-efficient and timely project completion.
Analisis Faktor-Faktor Financial Delay terhadap Keterlambatan Waktu Penyelesaian Proyek Bangunan Tinggi serta Strategi Mitigasinya Menggunakan Metode Relative Importance Index (RII) Putra Parera; Darmawan Pontan
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 4 (2026): RESWARA: Jurnal Riset Ilmu Teknik, October 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i4.755

Abstract

Financial delays can disrupt cash flow and hinder resource mobilization in high-rise building projects. This study aims to identify and rank financial delay factors and formulate mitigation strategies for the Jakarta Technopark office project, a green building development in Grogol, West Jakarta. A quantitative descriptive approach combining surveys and a case study was employed. The Relative Importance Index (RII) was used to rank 48 indicators across eight categories based on stakeholders’ perceptions using a 1–5 Likert scale. Data were collected through offline questionnaires from May to June 2026. Reliability testing and RII calculations used 63 responses, while validity testing used 65 responses with an r-table value of 0.244. All indicators were valid, and reliability coefficients exceeded 0.70. The highest-ranked factor was delay in payment installment disbursement (RII = 0.892), followed by payment schedules not aligning with the contract (RII = 0.884) and owner budget limitations (RII = 0.879). The findings indicate that financial delays primarily arise from administrative processes and owner fund availability rather than contractor performance. Mitigation strategies include detailed installment schedules, reserve funds, accelerated digital verification, cash flow planning, bridging funds, payment prioritization for labor and subcontractors, and early procurement of materials and equipment. This study contributes by applying RII specifically to financial delay factors in a high-rise green building project and linking dominant factors with practical mitigation strategies. The findings provide a practical reference for project owners and contractors in improving cash flow management.
Assessment of USLE-Based Sediment Yield Estimation Using Rainfall Correction Scenarios and Empirical Rainfall Erosivity Equations in Ciputat Sub-watershed, Indonesia Taufik Ramadhan; Dina P. A. Hidayat
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 4 (2026): RESWARA: Jurnal Riset Ilmu Teknik, October 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i4.762

Abstract

Sedimentation is one of the major challenges in watershed management, and its estimation is strongly influenced by rainfall data quality and the selection of rainfall erosivity equations in the Universal Soil Loss Equation (USLE) method. This study aimed to compare sediment yield estimates obtained from different rainfall data scenarios and empirical rainfall erosivity equations with field measurements in the Ciputat Sub-watershed, South Tangerang City, Indonesia. Sediment yield was estimated using the USLE combined with the Sediment Delivery Ratio (SDR) and validated using stream discharge and Total Suspended Solids (TSS) data. Model performance was evaluated using the Root Mean Square Error (RMSE) and Nash–Sutcliffe Efficiency (NSE) indices. The results revealed that the original BMKG rainfall data without imputation achieved better agreement with field measurements than all rainfall data correction scenarios, indicating that rainfall data imputation does not necessarily improve the reliability of sediment yield estimation. Furthermore, among the empirical rainfall erosivity equations evaluated, the Abdurachman equation provided the closest agreement with field observations, yielding the lowest RMSE (0.916) and the highest NSE (0.375). In addition, the modeled sediment load was classified as Very Low, consistent with the field measurements, while the Erosion Hazard Level (EHL) was classified as Very Slight. These findings demonstrate that both rainfall data quality and the selection of empirical rainfall erosivity equations compatible with watershed characteristics are critical for improving the reliability of USLE-based sediment yield estimation.
Assessment of Land Use Change Impacts on Design Flood Discharge in the Cakung Watershed Using Hydrological Modeling Handika Putrawan; Dina P. A. Hidayat
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 4 (2026): RESWARA: Jurnal Riset Ilmu Teknik, October 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i4.763

Abstract

Land use land cover (LULC) change driven by urbanization in the Cakung Watershed, Jakarta, has significantly increased peak flood discharge. This study employed a quantitative approach using secondary data. LULC classification used the Random Forest algorithm in ArcGIS, applied to Landsat 5 and Landsat 8 Level 2 imagery, and the hydrological model was calibrated and validated using observed streamflow data. The watershed was divided into four sub-watersheds: Cakung Hulu–BKT, Buaran–BKT, Jatikramat–BKT, and Cakung Hilir. The study aimed to calibrate and validate the HEC-HMS model and to determine the effect of LULC change on flood discharge in the Cakung Watershed. The HEC-HMS simulation performed excellently during calibration (7 January 2024) and the first validation (11 April 2024), yielding NSE of 0.842–0.892, RSR of 0.30–0.40, and PBIAS of −1.06% to −0.78%. The second validation (4 August 2024) declined to a satisfactory level (NSE = 0.595, RSR = 0.60, PBIAS = −10.75%), yet the parameters remained reliable. LULC changes during 2000–2024 increased CN by 1%–4% and impervious area by 18%–182%, indicating reduced infiltration and expanded built-up areas, which raised design flood discharge across all sub-watersheds. Cakung Hilir produced the highest peak discharge (120.30 m³/s), while Cakung Hulu–BKT showed the largest increase (12.89%). The results showed that higher CN and impervious area values corresponded to greater flood discharge. Therefore, LULC change is a contributing factor to increased flood discharge in the Cakung Watershed.
Integrasi Fusi Spasial Lidar Airborne dan Survei Terestris Untuk Pemodelan Hidraulik 2D Kali Kamal Jakarta Akbar Ramadhan; Endah Kurniyaningrum; Bagus Handyastono
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 4 (2026): RESWARA: Jurnal Riset Ilmu Teknik, October 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i4.764

Abstract

Flooding in the Kali Kamal Watershed, Tegal Alur Village, West Jakarta, occurred repeatedly during 2020–2025, with inundation depths of 20–50 cm or more due to extreme rainfall, river overflow, sedimentation, and tidal effects. Accurate hydraulic modeling is essential for effective flood mitigation. However, secondary Airborne LiDAR data in DWG format may have limitations in spatial representation and riverbed characterization. This study integrates secondary Airborne LiDAR DWG data with terrestrial cross-section surveys using a total station to improve wet-channel representation in HEC-RAS 2D modeling. Three elevation models were evaluated: Model A, combining DWG LiDAR and terrestrial survey data; Model B, combining satellite DEM and terrestrial survey data; and Model C, using satellite DEM alone. Model performance was assessed using vertical Root Mean Square Error (RMSE), Linear Error 90% (LE90), and Nash-Sutcliffe Efficiency (NSE), with simulation results validated against historical flood data from 2020–2025. Model A achieved the highest accuracy, with an RMSE of 0.090 m, LE90 of 0.148 m, and NSE of 0.942. It met the geometric accuracy standards of the Geospatial Information Agency (BIG) and reduced false flood estimates by up to 25.00%. The HEC-RAS 2D simulation based on Model A also showed good agreement with historical inundation patterns. These findings demonstrate that spatial fusion of secondary LiDAR and terrestrial survey data can improve elevation representation and support more reliable urban flood modeling and mitigation planning.
Analisis Efisiensi dan Akurasi Pengolahan Data Total Station Menggunakan AutoLISP pada AutoCAD: Studi Kasus di PT. Rotary Engineering Indonesia Rudi Ariadi; Hery Irwan
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 4 (2026): RESWARA: Jurnal Riset Ilmu Teknik, October 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i4.806

Abstract

Processing Total Station measurement data in fabrication work requires an efficient, consistent, and accurate workflow, particularly when comparing actual positions with design positions. Manual processing involves several stages, including coordinate processing, deviation calculation, and visualization in AutoCAD, which may increase processing time and the potential for operator errors. This study aims to develop and implement the ECC.LSP AutoLISP program in AutoCAD to automate Total Station data processing and evaluate its effectiveness compared with the manual method. The study was conducted at PT Rotary Engineering Indonesia using 12 sample points. ECC.LSP was developed to read design and actual point coordinates, calculate coordinate deviations, determine displacement direction, and generate visualizations in the form of arrows and deviation values in AutoCAD. The evaluation was based on processing time, accuracy, consistency, and potential errors. The results showed that processing time decreased from 25 minutes using the manual method to 7 minutes using AutoLISP, representing a 72% time efficiency. Both methods demonstrated high accuracy, while the AutoLISP method provided higher consistency than the manual method. The potential for errors was also lower when using AutoLISP. These findings indicate that ECC.LSP can improve the efficiency and consistency of Total Station data processing without reducing the accuracy of the results in the conducted evaluation.
Optimization of Geopolymer Mortar Performance Using Locally Sourced Precursors: An Experimental and Statistical Approach Tryandi Adi Muhlis; Jauhar Fajrin; Ni Nyoman Kencanawati
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 4 (2026): RESWARA: Jurnal Riset Ilmu Teknik, October 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i4.808

Abstract

Fly ash-based geopolymer mortar is a promising alternative to Portland cement because it utilizes aluminosilicate-rich industrial by-products and reduces cement consumption. This study investigated metakaolin, calcined clay, and rice husk ash as supplementary precursors and four NaOH/Na₂SiO₃ ratios (1:1.5, 1:2, 1:2.5, and 1:3) on the density, water absorption, and compressive strength of fly ash-based geopolymer mortar. A full factorial experimental design (3 × 4) was employed, with five specimens for density and compressive strength testing and three specimens for water absorption testing. Raw materials were characterized using X-ray fluorescence, and mortar properties were evaluated at 28 days. The data were analyzed using Two-Way Analysis of Variance at a 5% significance level, preceded by the Anderson–Darling normality test. Tukey’s Honestly Significant Difference test was applied to significant main effects. The results showed that supplementary precursor type and NaOH/Na₂SiO₃ ratio significantly affected compressive strength and water absorption (p < 0.05), whereas neither factor significantly affected density. No significant interaction was observed between the two factors for any evaluated property. The highest observed compressive strength was obtained by the metakaolin mixture at a NaOH/Na₂SiO₃ ratio of 1:2.5, reaching 18.01 MPa. Although the calcined clay mixture at the same ratio exhibited the highest observed density (2.22 g/cm³), density was not significantly affected by either factor. These findings demonstrate that precursor type and alkaline activator ratio significantly influence compressive strength and water absorption, while their effects on density and interaction are not statistically significant.
Characterization of Synthetic Oil Produced from Medical Mask Waste by Pyrolysis Using a Silicon Dioxide (SiO₂) Catalyst Abdul Azis; Dwi Yudha Meydiansyah; Herman Saputro; Ngatou Rohman; Aris Purwanto; Riyadi Muslim
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 4 (2026): RESWARA: Jurnal Riset Ilmu Teknik, October 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i4.671

Abstract

The increasing demand for fossil fuels, particularly petroleum, has contributed to the depletion of fossil energy reserves and highlights the need for alternative energy sources. One potential alternative is synthetic oil produced from waste materials, including used medical masks. This study aims to evaluate the effect of pyrolysis temperature and SiO₂ concentration on the characteristics of synthetic oil produced from medical mask waste based on liquid yield, calorific value, density, and flash point. An experimental method with quantitative analysis was employed. Pyrolysis was conducted at temperatures of 200 °C and 300 °C using three SiO₂ concentration variations: 0% (100% medical mask waste), 1% SiO₂ + 99% medical mask waste, and 2% SiO₂ + 98% medical mask waste. The produced synthetic oil was filtered and characterized based on liquid yield, calorific value, density, and flash point. The results showed that the highest liquid yield was obtained at 300 °C with 2% SiO₂ addition, reaching 55.666%. The highest calorific value was obtained at 200 °C with 2% SiO₂ addition, reaching 9674.54 cal/g. The lowest density value of 0.76205 g/cm³ was obtained at 300 °C with 1% SiO₂ addition, while the highest flash point value of 152.5 °C was obtained at 300 °C without SiO₂ addition. These results indicate that pyrolysis temperature and SiO₂ concentration influence the yield and physicochemical properties of synthetic oil derived from medical mask waste.
Comparative Analysis of Driven Pile Bearing Capacity Based on Pile Driving Analyzer Test Results and Settlement Evaluation of the Berawa Hotel Project Ratna Santika; I Wayan Ariyana Basoka; Ida Ayu Cri Vinantya Laksmi
RESWARA: Jurnal Riset Ilmu Teknik Vol. 4 No. 4 (2026): RESWARA: Jurnal Riset Ilmu Teknik, October 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/reswara.v4i4.742

Abstract

Bearing capacity and settlement are fundamental parameters in foundation design, as inaccurate estimations can trigger excessive or differential settlement. Although Standard Penetration Test (SPT) empirical methods are widely used in practice, their predictive accuracy varies depending on site-specific ground conditions. This study evaluated the applicability of five SPT-based empirical methods (Meyerhof, Poulos and Davis, U.S. Army Corps, Coyle and Castello, and Kulhawy) for driven pile foundations in sandy gravel soil at the Berawa Hotel project site. Empirical predictions were compared against Pile Driving Analyzer (PDA) test results and finite element analysis using PLAXIS 3D. The Coyle and Castello method provided the closest empirical agreement to the field PDA test (Q_"ult" =173.00" tons" ), predicting an ultimate bearing capacity of 213.74" tons"  (23.55% relative difference). PLAXIS 3D further refined this estimate to 199.76" tons"  (15.47% relative difference). For total settlement (13.15" mm"  measured via PDA), predictions were 6.94" mm"  for Coyle and Castello and 4.28" mm"  for PLAXIS 3D. Among the empirical approaches evaluated, Coyle and Castello is the most reliable for bearing capacity estimation in this soil profile, while PLAXIS 3D serves as a robust numerical tool for verifying overall foundation performance.