Publikasi Universitas Mercu Buana
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Risk-based predictive maintenance of medium voltage network switching equipment using analytical hierarchy process as an analytical tool
No full textPredictive maintenance became crucial in enhancing the reliability and efficiency of electrical systems, especially for Medium Voltage Network (MVN) switching equipment, which played a key role in electricity distribution. This study aimed to develop a risk-based predictive maintenance model for MVN switching equipment using the Analytical Hierarchy Process (AHP) for maintenance prioritization, along with Z-score and Monte Carlo simulation methods to evaluate risk likelihood and impact. The Z-score method assessed the probability of risks occurring, revealing probabilities exceeding 90% for certain equipment, such as UP2D.2025.C4, with a probability of 93.12%. The Monte Carlo simulation measured the potential impact of these risks, showing severe consequences for various equipment. For example, UP2D.2025.C1 had a mean of 28.51 and a standard deviation of 3.50, while UP2D.2025.C8 had a standard deviation of 33.17, with an impact over 61.53%. AHP was used to assign priority weights to components based on criteria such as equipment age, operational condition, and failure history. The analysis indicated that the Lightning Arrester had the highest priority for maintenance at 26.04%, followed by Fuse Cutout at 20.62%, and Pole Mounted Circuit Breaker at 11.15%. This research was expected to significantly contribute to developing more efficient and effective maintenance strategies for electrical systems, particularly in the electricity distribution sector
Compound development as a protective layer on fecral substrate by a combination of γ-Al2O3 ultrasonic and NiO electroplating techniques to improve thermal stability
No full textOne of the most technologically advanced methods for developing and adhering catalysts to the FeCrAl substrate is electrophoretic deposition. However, it faces a problem: low thermal stability at high temperatures of 10000 °C, caused by a lack of a protective oxide layer. The goal of this study is to investigate the protective oxide layers formed by Al2O3 and NiO coatings on FeCrAl metallic material for catalytic converters (CATCO). The electrolyte was prepared with distilled water at a constant temperature of 40±50 °C. The pH was adjusted to 5 with HCl and NaOH reagents. The electrolyte was prepared at 40 ± 50 °C and stirred for 1 minute using a magnetic stirrer. A 50mm x 10mm Ni plate substrate served as the anode, while a 40mm x 20mm FeCrAl cathode was used. The spacing between the anode and cathode was set at 25mm. The electroplating was conducted for several variation times of 15, 30, 45, 60 and 75 minutes, current density of 8 A/dm2, 3g γ-Al2O3 was inserted into the beaker for each sample and the total surface area was 1600mm2 on both sides. Drying was performed after electroplating at 600 °C for 12 hours. Raman spectroscopy revealed that several compounds observed during the experimental stages, such as FeCrAl, γ-Al2O3, NiO, NaO2, NiAl2O4, NiCr2O4, and FeCr2O3, were also present in the coated FeCrAl CATCO, with distinct peaks. Therefore, it can be concluded that the UB+EL 30 min successfully deposited the γ-Al2O3 and NiO on the FeCrAl substrate after CATCO fabrication
Optimasi Pemilihan Indekos Dengan Menggunakan Metode TOPSIS
No full textMeningkatnya populasi Indonesia mendorong permintaan hunian layak yang semakin meningkat. Namun, memiliki rumah pribadi menjadi sulit karena tingginya suku bunga Kredit Pemilikan Rumah (KPR), yang seringkali tidak sesuai dengan pendapatan masyarakat. Hal ini menjadikan rumah kos sebagai alternatif yang menarik karena lebih terjangkau dan tidak memerlukan komitmen jangka panjang. Saat ini, pencarian dan pemasaran rumah kos masih mengandalkan metode konvensional, yang mengharuskan calon penyewa untuk datang langsung atau bergantung pada informasi masyarakat sekitar. Untuk mengatasi hal ini, penelitian ini bertujuan untuk merancang Sistem Pendukung Keputusan (SPK) berbasis web untuk memfasilitasi transaksi antara pemilik dan calon penyewa tanpa harus mengunjungi ataupun survei ke lokasi. Sistem ini menggunakan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk memberikan rekomendasi rumah kos yang optimal. Kriteria yang dipertimbangkan meliputi Harga, Jarak, Fasilitas, Ukuran Kamar, dan Keamanan. Hasil TOPSIS menunjukkan rekomendasi terbaik adalah Artha Kos, dengan nilai preferensi tertinggi sebesar 0,7809. Hal ini karena rumah kos tersebut menawarkan kombinasi kriteria terbaik, seperti fasilitas dan keamanan, yang menunjukkan bahwa pengguna lebih mengutamakan kenyamanan dan keamanan daripada biaya ataupun jarak. Sistem ini juga mencakup fitur pemesanan langsung dan telah diuji menggunakan metode User Acceptance Testing (UAT), dengan tingkat kepuasan mencapai 86,4%. Hasil ini menunjukkan bahwa sistem ini efektif dan menyederhanakan pemesanan kos secara digital, memberikan solusi praktis untuk memenuhi kebutuhan perumahan di tengah tantangan kepemilikan rumah pribadi
Development and performance evaluation of an automatic size-sorting system for catfish seeds using photodiode sensors
No full textIn catfish farming, uniform seed size is crucial for ensuring balanced growth and minimizing competition for feed. Generally, size sorting is performed manually through visual observation and net separation, which is labor-intensive, time-consuming, and often causes stress or injury to fish. To address these limitations, this study aimed to develop and evaluate a real-time, low-cost automatic sorting system for live catfish seeds. The proposed system utilizes photodiode sensors and an Arduino-based microcontroller to detect variations in fish body length by interrupting a laser beam. Four photodiodes were arranged at specific distances to classify fish seeds into four size categories (<7 cm, 7–8 cm, 9–10 cm, and 11–12 cm). After classification, the system automatically directed each seed into the corresponding container. The results showed that the prototype successfully classified and sorted catfish seeds with an overall accuracy of 67.5%. In contrast, tests with PVC pipes under controlled conditions achieved 100% accuracy. These findings highlight the novelty of integrating size detection and direct sorting for live fish seeds, a feature not previously reported in the literature. Beyond its current limitations, this system provides a methodological framework for sensor-based aquaculture automation, offering potential for further improvements in accuracy, robustness, and application to other aquaculture species
Shear strength enhancement of fine sand soil using Guar Gum biopolymer under varying curing conditions
No full textThis study investigates the effect of Guar Gum biopolymer on the shear strength behaviour of fine sand soil, with the aim of evaluating its potential as a sustainable soil stabilisation agent. A series of direct shear tests, following ASTM D3080-23, were conducted on Guar Gum-treated soil samples with varying biopolymer concentrations (1%, 3%, and 5%) and water content (10%, 12%, and 15%). Curing durations of 2, 5, and 7 days were applied to assess time-dependent strength development. The shear strength parameters, cohesion (c), and internal friction angle (φ)were evaluated to quantify the improvement in soil performance. The results showed that cohesion increased with higher Guar Gum concentration and longer curing times, with the highest cohesion (0.105 kg/cm²) observed at 5% concentration after 7 days. However, the internal friction angle decreased with prolonged curing, suggesting a shift from the frictional to cohesive strength. The water content had a critical impact, with 10–12% yielding optimal results. At a water content of 12 %, the highest internal friction angle (52°) was recorded after 7 days. Overall, the findings confirm that Guar Gum can significantly enhance the shear strength of fine sand when the key parameters are optimised, offering an effective and environmentally friendly alternative to conventional chemical stabilisers in geotechnical applications.
Performance Analysis of a Micro Underwater Remotely Operated Vehicle (ROV)
No full textUnderwater Remote Operated Vehicle (ROV) is a tethered marine robot that are widely employed for scientific and commercial applications. Several industries are working on underwater robots to increase the productivity, monitoring and surveillance especially in the petroleum and gas industries. These operations are often performed by human divers; however, the underwater environment poses hazards and pressure-related limits, making them costly and risky. As a result, ROVs have been designed to replace divers themselves. It is a tethered underwater robot that the operator controls manually using a PS2 controller. This project is to design and develop a micro underwater ROV for monitoring applications. The ROV are designed to withstand pressure underwater by selection of suitable material for its frame and other components will be equipped including pressure/depth sensor, MPU6050 IMU sensor and waterproof endoscope camera. Standard testing procedures are employed to assess the ROV's performance in buoyancy and control efficiency tests for the propulsion system in real environment, including laboratory pool. The developed ROV prototype shows promising performance with achieved 90% negative buoyancy is crucial for the ROV to perform effective submerge and raise operations and also with stable velocity and acceleration in forward, backward, and submerging. The steering tests highlighted that the ROV is more flexible and faster in maneuvering concerning turning performance as the horizontal thrusters’ configurations are positioned at 45° at the back of the ROV. The outcomes of this project are anticipated to bring substantial advantages to industries associated with underwater applications
Towards low-carbon ammonia: simulation and economic evaluation of blue ammonia with carbon utilization
No full textThe proposed blue ammonia production considers technical, environmental, and economic aspects. The design of the blue ammonia using CCUS (Carbon Capture, Utilization, and Storage) technology in this study contributes to reducing carbon emissions and providing a more environmentally friendly ammonia supply in East Java, Indonesia, due to the availability of raw materials and geological storage locations for CO2 storage. Technically, the blue ammonia production was simulated with Aspen Hysys V.14.0. uses the Kellogg process, where the ammonia converter operates at a temperature of 437.60 °C and a pressure of 141.9 bar. From the environmental aspect, as much as 68.34 tons/h of ammonia produced produces CO2 71.36 tons/h, which is a total emission of 1.06 tons CO2/ tons NH3. In this study, CO2 delivery with a pipe length of 85 km (ID:539.8mm; OD: 558.7mm) was simulated using default parameters in Aspen Hysys V.14.0. In economic calculations from APEA (Aspen Process Economic Analyzer), the manufacture of blue ammonia designed in this study is very large, with a TAC (Total Annual Cost) of 93.28x108/ tons NH3. This study demonstrates the integration of CCUS technology into ammonia production, resulting in a reduction of CO₂ emissions by 1.06 tons CO₂ per ton of ammonia produced. The proposed system provides a practical approach for improving the environmental sustainability of industrial chemical processes
Sustainable competitiveness through community empowerment and the success factors of SMEs?
No full textThis study aims to examine the relationship between sustainable competitiveness and community empowerment in the context of small and medium enterprises (SMEs) by conducting a systematic literature review using the PRISMA guidelines. The review identified relevant studies published between 2021 and 2025 in the Scopus database and analyzed them using the VOS Viewer bibliometrics tool. This study explores the role of empowerment in improving Sustainable Competitiveness. Findings show that the topics of sustainable competitiveness and community empowerment are still rarely discussed in an integrated manner, although both are significantly interrelated. The analysis identified six main dimensions that contribute to sustainable competitiveness in SMEs: Economic, Social, Environmental, Technological, Organizational, and Human Resources that correlate with sustainable competitiveness in SMEs. In various literature, sustainable competitiveness in SMEs is often discussed and has a close relationship with the use of technology in SMEs businesses. However, on the other hand, it also needs to be supported by the role of the community, which is included in the social dimension, which also plays an important role in SMEs that support business sustainability, foster cooperation networks, and improve the welfare of local communities. These findings provide a basis for insight and information to develop targeted business strategies and public policies aimed at enhancing sustainable competitiveness in SMEs through community engagement
Implementasi Smart Guard Box Berbasis IoT Sebagai Solusi Keamanan Paket di Tempat Kos
No full textPenelitian ini bertujuan untuk merancang Smart Guard Box , yaitu kotak paket pintar berbasis Internet of Things sebagai solusi inovatif untuk mengatasi masalah keamanan dan efisiensi penerimaan paket di tempat kos. Smart Guard Box ini dilengkapi dengan sensor GM67 untuk memindai barcode nomor resi sebagai akses kurir memasukkan paket dan memindai kode QR untuk mengakses penghuni kos yang mengambil paket. Hanya resi barcode dan kode QR yang terdaftar pada aplikasi atau tersimpan di database yang dapat mengakses kotak paket. Selain itu, sistem ini juga dilengkapi sensor ultrasonik untuk menyatukan kapasitas kotak paket secara real-time , dengan data yang dapat dilihat pada aplikasi. Aplikasi Android yang terintegrasi dengan Smart Guard Box menyediakan berbagai fitur yang memudahkan pengguna atau penghuni kos seperti pendaftaran nomor resi, pengecekan status penerimaan paket, pemantauan kapasitas kotak paket, pengecekan histori pengambilan paket, serta notifikasi kedatangan paket. Dari segi energi, Smart Guard Box menggunakan power supply 12 Volt 5 Ampere. Hasil pengujian menunjukkan bahwa sensor GM67 dapat membaca resi barcode dari berbagai jasa pengiriman, mendeteksi semua kode QR yang diujikan serta mampu mendeteksi kode QR pada jarak jarak 5-45 cm dan resi barcode pada jarak 10-45 cm. Sensor ultrasonik memiliki tingkat akurasi yang sangat baik dalam pengukuran kapasitas kotak paket yaitu sebesar 98,63%