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Paska Marto Hasugian
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INDONESIA
Jurnal Teknik Indonesia (JU-TI)
Published by SEAN INSTITUTE
ISSN : -     EISSN : 29640490     DOI : https://doi.org/10.58471
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering
Jurnal Teknik Indonesia (JU-TI) is published by the SEAN Institute. Jurnal Teknik Indonesia is a journal that contains scientific articles resulting from research, research and trials from researchers to be published as a reference for other researchers. The scope of the Jurnal Teknik Indonesia (JU-TI) is: Mechanical Engineering, Electrical Engineering, Chemical Engineering, Civil Engineering, Industrial Engineering, Computer Engineering, Informatics Engineering, Architecture, Energy and ConveSrsion Technology, Mathematics, Physics, Chemistry, Biology Jurnal Teknik Indonesia (JU-TI) is published 2 times a year (June and December). E-ISSN: 2964-0490
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 41 Documents
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Comparative Analysis and Characterisation of Amine-Local Solvent Blends for Natural Gas Sweetening Tare Caroline Gillow; Ipeghan J. Otaraku; Peter O. Muwarure; Johnson Nnadikwe; Onuche Izuchukwu
Jurnal Teknik Indonesia Vol. 4 No. 01 (2025): Jurnal Teknik Indonesia (JU-TI) 2025
Publisher : SEAN Institute

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Abstract

This study compared and characterised  hybrid amine-local solvent blends for sustainable natural gas sweetening. The study designed and evaluated an absorption process using blends of monoethanolamine (MEA) with solvents derived from agricultural waste Plantain Peel Ash Extract (PPAE) and Coconut Shell Ash Extract (CSAE). The comprehensive characterisationprovided fundamental insights into the viability of using agricultural waste for gas sweetening. Plantain peels' high volatile matter (74.3%) yields ash rich in active alkaline compounds during calcination, while coconut shells' higher fixed carbon (19.5%) produces more stable char with lower alkaline content. The ultimate analysis showed that coconut shells' higher carbon content (49.5%) aligns with its lignocellulosic nature, while plantain peels' higher oxygen content (47.5%) indicates more carbohydrate-rich material that decomposes to yield higher ash alkalinity.The electrolyte properties further confirm PPAE's superiority, with higher pH (12.1), conductivity (28.5 mS/cm), and ionic strength (0.42 mol/L), all contributing to better absorption performance while influencing corrosion behavior.
Corrosivity Assessment of Hybrid Amine-Local Solvent Blends in Natural Gas Sweetening Tare Caroline Gillow; Ipeghan J. Otaraku; Peter O. Muwarure; Johnson Nnadikwe
Jurnal Teknik Indonesia Vol. 4 No. 02 (2025): Jurnal Teknik Indonesia (JU-TI) 2025
Publisher : SEAN Institute

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Abstract

 This study optimised hybrid amine-local solvent blends for sustainable natural gas sweetening, tackling corrosion and environmental footprint of imported monoethanolamine (MEA). The study designed and evaluated an absorption process using blends of MEA with solvents derived from agricultural waste Plantain Peel Ash Extract (PPAE).  The study integrates computational corrosion prediction models from the outset, acknowledged and addressed a common deficiency, performance optimisations were evaluated with critical material compatibility constraints from the beginning.Corrosivity assessment predicted a manageable corrosion rate of 0.29 mm/year for the optimal blend, within acceptable limits for carbon steel with standard inhibition. The study conclusively establishes the 50/50 MEA/PPAE hybrid solvent as a technically robust and  environmentally superior alternative. It successfully valorises local agricultural waste, reduces dependency on imported chemicals, and aligns with Nigeria's local content policy and global sustainability goals, offering a viable pathway for greener and more cost-effective natural gas processing.  
Driving Sustainability in Power Generation: Amine Scrubbing Integration as a Cost-Effective Measure for Carbon Dioxide Mitigation Nnadikwe Johnson; Onuoha fidelis wopara; Akuchie Justine Chukwuma; Stephen Oyelami
Jurnal Teknik Indonesia Vol. 5 No. 01 (2026): Jurnal Teknik Indonesia (JU-TI) 2026
Publisher : SEAN Institute

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Abstract

The imperative of energy security, sustainability, and independence necessitates the continued use of coal for electricity generation. However, to mitigate rising CO2 levels, developing carbon capture and storage (CCS) technologies is crucial. This study explores various approaches to optimize CO2 capture using chemical solvents, focusing on reducing the energy demands of solvent regeneration. Our analysis reveals that the current cost of CO2 capture stands at approximately #55,000.000 (Naira) per ton of CO2 , with a target to reduce it to below #25,000.000,00 (Naira) per ton of CO2 . We evaluate the technical and economic performance of different approaches, calculating the specific cost per ton of CO2  captured. Our results show that:- Current Cost: #55,000.000,00 (Naira) per ton of CO2 - Target Cost: Below #25,000.000,00 (Naira) per ton of CO2 - Efficiency Reduction: Minor efficiency reductions observed in some proposed schemes
Exploring the Utilization of Plastic Sand in Construction to Drive Sustainable Practices and Foster a Circular Economy Nnadikwe Johnson; Okure Unyime Enobong; Onyewudiala Ibeawuchi Julius; Stephen Oyelami
Jurnal Teknik Indonesia Vol. 5 No. 01 (2026): Jurnal Teknik Indonesia (JU-TI) 2026
Publisher : SEAN Institute

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Abstract

This research explores utilizing waste plastics in construction to promote a circular economy and mitigate plastic waste's environmental footprint in Nigeria's urban centers. Innovative bricks made from low-density polyethylene bags and sand offer thermal and sound insulation properties, pollution control, and cost reduction. The eco-friendly bricks demonstrate beneficial properties: lightweight, porous structure, low thermal conductivity, and high mechanical strength comparable to conventional bricks.The experimental process involved combining cement, sand, and waste plastic/nylon (0-15% by weight) with fly ash, followed by underwater curing and baking. Results show compressive strengths of 19.5 MPa (0% waste), 19.46 MPa (5% waste), 20.3 MPa (10% waste), and 21.1 MPa (15% waste). The bricks exhibit reduced water absorption capacity (0.085-0.34%) and lower efflorescence values.The innovative bricks offer numerous benefits: enhanced strength and durability, reduced environmental impact, and economic value for manufacturers. They contribute to sustainable construction practices, reducing sand extraction and plastic waste accumulation. This research showcases the potential for eco-friendly bricks to enhance energy efficiency in buildings and promote a sustainable ecosystem for plastic waste management.
Optimizing Oil Well Cementing: Effects of Dispersant and Fluid Loss Additive Concentrations on Thickening Time and Free Fluid Formation Momoh abdulazeez adeyem; Akuma Oji; John Anaele; Nnadikwe Johnson
Jurnal Teknik Indonesia Vol. 5 No. 01 (2026): Jurnal Teknik Indonesia (JU-TI) 2026
Publisher : SEAN Institute

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Abstract

Optimising cement slurry properties through appropriate additive selection is critical for ensuring successful zonal isolation and preventing costly wellbore failures in oil and gas operations. This research investigated the effects of dispersant and fluid loss additive concentrations on the thickening time and free fluid formation of Class G cement slurry. A systematic two-factor three-level (3²) factorial design was employed, generating nine experimental runs. Statistical analysis included correlation analysis, ANOVA, and multiple regression modelling. The results revealed that dispersant concentration exhibited the strongest influence on thickening time behaviour, establishing it as the primary control mechanism for cement slurry pumpability. Fluid loss additive concentration demonstrated dual functionality, serving both as an effective filtration control agent and providing secondary influence on thickening time. Significant interaction effects were observed between dispersant and fluid loss additive concentrations (p = 0.040), indicating synergistic behaviours. Multiple regression analysis yielded highly predictive models for both response variables, with R² = 0.981 for thickening time and R² = 0.845 for free fluid. The developed models provide a systematic framework for cement slurry optimisation in oil well cementing operations, enabling precise targeting of cement slurry properties for improved well integrity and performance. The research demonstrates the effectiveness of factorial experimental design methodology for understanding complex additive interactions in cement slurry systems.
Evaluating the Impact of Dispersants and Fluid Loss Additives on Cement Slurry Thickening Time: Experimental Design and Statistical Modeling Momoh abdulazeez adeyem; Akuma Oji; John Anaele; Nnadikwe Johnson; Stephen Oyelami
Jurnal Teknik Indonesia Vol. 5 No. 01 (2026): Jurnal Teknik Indonesia (JU-TI) 2026
Publisher : SEAN Institute

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Abstract

Optimising cement slurry properties is critical for successful zonal isolation and preventing wellbore failures in oil and gas operations. This research investigated the effects of dispersant (0.1-1.0% BWOC) and fluid loss additive (0.1-0.35 gal/sk) concentrations on thickening time and free fluid formation of Class G cement slurry using a 3² factorial design. Thickening time was measured with an atmospheric consistometer; free fluid via HTHP filter press. Analysis included ANOVA and multiple regression modeling. Key findings Dispersant strongly influences thickening time (R² = 0.981, RMSE = 8.731 min). Fluid loss additive controls filtration and moderately affects thickening time. Significant dispersant-fluid loss additive interaction (p = 0.040) indicates synergistic effects. Models enable predictive optimization of cement slurry properties
Evaluation of Orange Fruit Quality Clustering Using a Real-Time X-Means Algorithm Maria Clodia Purba; Emma Romasta Naulina Nainggolan; Paska Marto Hasugian
Jurnal Teknik Indonesia Vol. 5 No. 01 (2026): Jurnal Teknik Indonesia (JU-TI) 2026
Publisher : SEAN Institute

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Abstract

The citrus farming industry faces major challenges in maintaining product quality consistency due to subjective manual sorting processes that are prone to fatigue and have varying standards. This problem results in economic losses due to errors in detecting ripeness levels and physical damage that hinders market competitiveness. This study aims to design and implement an automated citrus fruit quality evaluation system using a real-time X-Means algorithm. The research method begins with visual data acquisition through a camera sensor using the automatic snapshot feature to convert physical objects into digital data. The data then undergoes preprocessing, which includes filtering to remove noise, color (RGB) and texture feature extraction, and normalization using Min-Max Scaling to balance parameter weights. The X-Means algorithm is used because of its ability to independently determine the optimal number of clusters through the evaluation of the Bayesian Information Criterion (BIC) score. The processing results show that the system is able to accurately group oranges into three categories: ripe, which are dominated by bright orange colors; unripe, which are dominated by green colors; and rotten, which are identified through rough textures and dull colors. The integration of this technology ensures that all decision-making occurs quickly and objectively, providing a practical solution for the industry to consistently improve product quality control efficiency in the field.
Ecotourism Based Revitalization of Urban Riverfront: Design Guideline Framework for the Cikapundung Riverbank, Bandung Azmi Hibatullah Ramdhani; Hartanto Budiyuwono; Anindhita N. Sunartio
Jurnal Teknik Indonesia Vol. 5 No. 01 (2026): Jurnal Teknik Indonesia (JU-TI) 2026
Publisher : SEAN Institute

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Abstract

Urban rivers in rapidly growing Indonesian cities are frequently marginalized by uncontrolled development, resulting in degraded riparian zones that are ecologically dysfunctional and spatially disconnected from urban life. The study investigates the application of ecotourism principles as a framework for the revitalization of the Cikapundung Riverfront in downtown Bandung, focusing on the abandoned former Palaguna Mall site (±2.5 ha). Through a descriptive qualitative methodology, the research conducts a comparative precedent analysis of the Malacca River (Malaysia) and Cheonggyecheon Stream (South Korea) to derive design criteria across seven urban design dimensions: land use, attraction and character, access and connection, building form and massing, open space, support activities, and preservation. The results suggest that successful riverfront revitalization requires the simultaneous pursuit of sustainable tourism, creative tourism resource development, and dualtrack preservation, both ecological and historical. This evolved guideline framework encourages mixed use zoning with at least 40% blue green open space corridor, pedestrian priority networks with universal accessibility, building heights not exceeding 12 meters within the riverbank zone and adaptive reuse of colonial era heritage structures. The framework provides a replicable model for tropical urban waterfronts across Southeast Asian cities and offers concrete policy recommendations for the Bandung City Government's ongoing revitalization program.
Analysis of Resident Satisfaction Evaluation at St. Titus Brandsma Dormitory Using Importance Performance Analysis Method Caleg Sadrak Sinaga; Desinta Purba
Jurnal Teknik Indonesia Vol. 5 No. 01 (2026): Jurnal Teknik Indonesia (JU-TI) 2026
Publisher : SEAN Institute

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St. Titus Brandsma Dormitory was built to provide temporary housing for male students of Santo Thomas Catholic University Medan. To date, the evaluation is determined by the priest at the end of the semester through a collective discussion in the dormitory hall. This study aims to measure the level of satisfaction of dormitory residents and determine service attributes that are priority for improvement using the Importance Performance Analysis (IPA) method. Research data were obtained through distributing questionnaires to dormitory residents using a Likert scale that measures the level of importance and performance. The results of the analysis show that most residents are in the satisfied category with the facilities and services provided. The study results on dormitory resident satisfaction revealed that 33.93% of respondents felt highly satisfied, whereas 42.86% indicated that they were satisfied. In addition, 19.64% of the respondents felt fairly satisfied, whereas 1.79% expressed dissatisfaction and another 1.79% indicated that they were very dissatisfied. The results of the Importance Performance Analysis also showed that the availability of a stable Wi-Fi signal across the dormitory area was categorized in Quadrant I, meaning it became the main priority for improvement. Therefore, enhancing the Wi-Fi service should be addressed immediately to increase resident satisfaction.
Resilient Data Analytics Pipelines for Fault-Tolerant Smart Manufacturing Systems Kenechukwu Favour Anagwu; Okechukwu Chiedu Ezeanyim
Jurnal Teknik Indonesia Vol. 5 No. 01 (2026): Jurnal Teknik Indonesia (JU-TI) 2026
Publisher : SEAN Institute

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This review examines resilient data analytics pipelines as critical infrastructure for fault-tolerant smart manufacturing systems. It addresses the need for reliable, low-latency, and integrity-preserving data flows in industrial environments where sensor failures, network disruptions, data corruption, platform faults, and cyber-physical disturbances can compromise real-time analytics and autonomous decision-making. The study synthesizes recent literature on Industrial Internet of Things-enabled manufacturing, distributed stream processing, edge-fog-cloud computing, fault-tolerant architectures, and data governance. It analyses pipeline layers covering data sources, edge preprocessing, fault-tolerant ingestion, stream analytics, distributed storage, security, governance, and decision-support applications. Core resilience mechanisms examined include redundancy, replication, monitoring, checkpointing, rollback recovery, graceful degradation, secure aggregation, audit logging, and adaptive recovery. The review also evaluates technologies such as Apache Kafka, Apache Flink, Apache Spark, Storm, HDFS, Cassandra, MongoDB, cloud-agnostic platforms, microservices, and digital twins. Findings show that resilient analytics pipelines support predictive maintenance, real-time process monitoring, quality assurance, supply-chain optimization, and autonomous manufacturing by preserving data continuity and analytical reliability during faults. However, major challenges remain in balancing scalability with performance, maintaining data integrity across heterogeneous edge-fog-cloud layers, achieving low-latency recovery, integrating legacy systems, securing distributed data flows, and establishing standardized design frameworks. The review identifies future directions in AI-driven fault detection, digital-twin-based resilience testing, scalable distributed architectures, autonomous data management, and benchmarking protocols. Resilient pipelines are therefore essential operational assets for sustaining reliable, secure, and fault-tolerant smart manufacturing intelligence.

Page 4 of 5 | Total Record : 41

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