Article Per Year (5 Year)
p-Index From 2021 - 2026
2.459
P-Index
This Author published in this journals
All Journal G-Tech : Jurnal Teknologi Terapan Indonesian Community Journal JITU (Jurnal Ilmiah Teknik Unida) JOMPA ABDI: Jurnal Pengabdian Masyarakat Jurnal Ekonomi dan Bisnis STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII Jurnal Gerakan Edukasi dan Masyarakat Nusantara (GEMANUSA)
Rizal Maulana
Institut Teknologi Nasional Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Quantitative Study on Iron Reinforcement Waste Utilization for Material Efficiency in Boarding House Structures in Bantul Rizal Maulana; Sely Novita Sari
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.8083

Abstract

The construction sector is one of the largest consumers of material resources, with reinforcement bars (rebar) contributing significantly to project costs. However, standard cutting practices often generate leftover steel, typically regarded as waste, despite its potential for reuse. This study aims to evaluate the efficiency of reusing rebar waste in the structural components columns, beams, and slabs of a two-story boarding house project in Bantul, Indonesia. A quantitative case study method was applied, analyzing planned versus actual steel usage, and calculating the waste percentage compared to the 5% standard from Indonesia’s AHSP. Field data, including drawings, BoQ, and technical reports, were used to measure actual rebar waste and its financial impact. Results show actual waste levels of 2.17% for columns, 2.55% for beams, and 1.21% for slabs significantly lower than the 5% benchmark. This translates into a cost saving of Rp11,393,643.78 for a medium-scale project. These findings confirm that precise planning and reuse of steel offcuts can minimize waste and promote sustainable construction practices. It is recommended that future projects adopt material reuse strategies and integrate digital tools such as BIM to enhance real-time material tracking and cutting optimization.
Analysis of Partial Rehabilitation Costs of Earthquake-Resistant Simple House Structures in Bantul Regency Ibnu Rianto; Rizal Maulana; Sely Novita Sari
G-Tech: Jurnal Teknologi Terapan Vol 10 No 1 (2026): G-Tech, Vol. 10 No. 1 January 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i1.8833

Abstract

The vulnerability of simple houses in earthquake-prone areas, particularly those built independently with limitations of key structural elements, demonstrates the need for a measurable and efficient partial rehabilitation approach. Although the reinforcement of earthquake-resistant buildings has been widely studied, the analysis of partial rehabilitation costs separating the calculations on each major structural element is still relatively limited. This study aims to compile an analysis of partial rehabilitation costs on column, ground beam, and ring beam elements by referring to the Unit Price Analysis and the Bantul Regency Standard Unit Price for Materials and Services in 2024. The quantitative method was applied using technical data from the results of MBKM internship activities at the Bantul Regency BPBD, which included the dimensions of structural elements, ironing details, and concrete quality. The calculation of material requirements and costs is carried out separately on each element to obtain a more measurable estimate. The results of the study showed that the cost of rehabilitating columns, ground beams, and beam rings amounted to Rp 14.676.740,54 each, Rp 14.213.412,00, and Rp 13.009.214,44. These findings confirm that differences in dimensions, element functions, and reinforcement methods have a direct effect on the amount of cost. This research contributes in the form of an approach to partial rehabilitation cost analysis that is applicable as a basis for technical decision-making in the planning of simple house reinforcement in earthquake-prone areas.
Classification of Hotel Maintenance Levels Using Principal Component Analysis and Support Vector Machine Bagus Gilang Pratama; Sely Novita Sari; Rizal Maulana; Zainul Arifin; Annisa Fauziah
G-Tech: Jurnal Teknologi Terapan Vol 10 No 3 (2026): G-Tech, Vol. 10 No. 3 July 2026
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v10i3.10360

Abstract

Hotel building maintenance in tourism-driven regions such as the Special Region of Yogyakarta is essential for maintaining service quality and building reliability. However, conventional assessment methods often depend on subjective expert judgment, which may be time-consuming and inconsistent. This study evaluates the performance of Support Vector Machine (SVM) combined with Principal Component Analysis (PCA) to classify hotel building maintenance levels in Yogyakarta into five categories. The dataset includes 175 samples and 11 variables covering architectural, structural, mechanical, electrical, outdoor space, and housekeeping aspects, with naturally imbalanced class distribution. Data were normalized using MinMaxScaler and reduced to nine principal components, explaining 93.41% of cumulative variance. Three SVM kernels polynomial, radial basis function (RBF), and sigmoid were tested using a 70:30 training–testing split with default scikit-learn hyperparameters. The sigmoid kernel produced the best performance, achieving 90.57% accuracy, 91.32% precision, 90.57% recall, and 90.53% F1-score, outperforming RBF and polynomial kernels. Stratified 5-Fold cross-validation showed an average accuracy of 81.71% ± 9.66%. The results indicate that PCA-SVM with a sigmoid kernel is effective for automated hotel building maintenance classification.
Implementasi Sistem Pemantauan Fermentasi Eco Enzyme Berbasis Internet of Things sebagai Model Standardisasi Mutu Berbasis Data pada Komunitas Pengelola Sampah Sely Novita Sari; Bagus Gilang Pratama; Rizal Maulana; Nanda Ramadhani; Sophia Anwar Fayyal Jannah
GERAKAN EDUKASI DAN MASYARAKAT NUSANTARA Vol. 1 No. 2 (2026): Jurnal Gerakan Edukasi dan Masyarakat Nusantara
Publisher : CV. DIGITIAL EDUKASI NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65841/gemanusa.v1i2.226

Abstract

Rumah Sampah Ringas Trengginas is a community-based organic waste management group in Baturetno, Banguntapan, Bantul, that produces eco enzyme from kitchen waste. Before this programme, fermentation was conducted manually without measurement instruments, systematic records, or standard operating procedures, so product quality varied between batches and fermentation failure was difficult to detect early. Unlike previous community service programmes that focused on production training, this programme developed a data-driven fermentation quality standardisation model for waste management communities. The programme involved four core partner members and surrounding residents, and was carried out in five stages are socialisation and needs assessment, device design and assembly, development of the recording and notification system, on-site installation and partner training, and evaluation. The device used an ESP32 microcontroller integrated with pH, TDS, NPK, and DS18B20 temperature sensors, TLS/SSL-encrypted MQTT data transmission, an early-warning buzzer, and web- and mobile-based interfaces. Success was evaluated through three instruments sensor accuracy testing against calibrated portable meters (ten paired measurements per parameter per batch), measurement of daily monitoring time before and after the intervention, and a partner competency checklist. The main outputs were an installed IoT monitoring device, a web- and mobile-based recording system, a copyright-registered production SOP, and an industrial design application. Preliminary testing of three batches showed a mean accuracy of 95% with pH of 3.5–3.7 and temperature of 28.5–29.0 °C under normal fermentation conditions; daily monitoring time fell from 60 to 18 minutes (70% efficiency); and all core members operated the system independently. The findings indicate that the system can support community-scale fermentation standardisation, although validation on a larger number of batches is still required.  Keywords: Eco enzyme; Internet of Things; Fermentation Monitoring; Organic Waste; Quality Standardization.
Co-Authors Adam Sulton Alfinur Insaniyati Umi Sa'adah Anggi Hermawan Annisa Fauziah Astuti Umasugi Bagus Gilang Pratama Bagus Gilang Pratama, Bagus Gilang Filipus Alfriyadi Junaidi Ibnu Rianto Ilham Mopio Kartika, Erawati Muhammad Hanif Jufri Nanda Ramadhani Oggi Heical Ardian Oggi Heicqal Ardian Rizqi Prastowo Sely Novita Sari Sophia Anwar Fayyal Jannah Syach Reza Fachlevi Zainul Arifin