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Munaji
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INDONESIA
Journal of Emerging Innovations in Engineering
ISSN : -     EISSN : 31103375     DOI : https://doi.org/10.65664/jeie.v1i02.8
Core Subject : Engineering,
Journal of Emerging Innovations in Engineering (JEIE) is a peer-reviewed open access journal published by Pustaka Intelektual Sutajaya. This journal is dedicated to the dissemination of high-quality research in the fields of engineering, pure and applied engineering. JEIE serves as a platform for academics, researchers, professionals, and educators to share knowledge, exchange ideas, and present innovative findings in related disciplines. All submitted manuscripts undergo a rigorous double-blind peer-review process to ensure objectivity, quality, and scientific integrity. The identities of both authors and reviewers are kept confidential throughout the review process. The editorial team is committed to upholding the highest standards of publication ethics and follows guidelines established by the Committee on Publication Ethics (COPE). This journal is intended to contribute to the development of science and technology, as well as to enhance the quality of research in engineering fields. JEIE welcomes submissions from researchers around the world. Journal of Emerging Innovations in Engineering (JEIE) publishes original and high-quality research that contributes to the advancement of knowledge in engineering the following fields: Electrical, Mechanical, and Civil Engineering Industrial and Systems Engineering Computer and Software Engineering Environmental and Sustainable Engineering Engineering Design, Innovation, and Technology The journal welcomes contributions from researchers, educators, practitioners, and students who are engaged in interdisciplinary studies that bridge the fields of engineering. The scope includes both theoretical and empirical studies, literature reviews, and case studies that offer insights into the latest trends, challenges, and innovations.
Articles 19 Documents
Inclusive digital connectivity for smart service value-chain: a systematic literature review Rownak Tahmina; Mohammad Tarikul Islam, PhD; Abul Kalam Azad, PhD
Journal of Emerging Innovations in Engineering Vol. 2 No. 01 (2026): February 2026
Publisher : PT Pustaka Intelektual Sutajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65664/jeie.v2i01.13

Abstract

Smart services are vital for economic development and improved user experience, yet digital inequality continues to constrain their effective deployment in emerging economies. While prior studies emphasize smart technologies and digital connectivity, limited evidence explains how connectivity is transformed into value-creating smart services. This study addresses this gap by examining the relationship between digital connectivity and the smart service value chain through a digital inclusion lens. Using a qualitative approach, a systematic literature review guided by the PSALSAR framework is conducted. Academic and international regulatory sources are analysed through content analysis and pattern recognition. The findings show that political, economic, social, and technological (PEST) factors embedded in the connectivity ecosystem are critical to smart service value creation, with socio-economic factors exerting greater influence than technology alone. The study informs conceptual development, service design, and digital policy reform for inclusive smart service ecosystems.
Analysis of methane gas content in cattle manure waste for electricity generation Azfar Fadillah
Journal of Emerging Innovations in Engineering Vol. 2 No. 01 (2026): February 2026
Publisher : PT Pustaka Intelektual Sutajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65664/jeie.v2i01.15

Abstract

This study investigates the methane (CH4) content generated through the anaerobic fermentation of cattle manure waste in a biogas digester, in support of biogas-based electricity generation development in Indonesia. A qualitative approach with a case study strategy was employed, conducted through direct field observation. The digester used was a floating dome/balloon-type unit with a slurry capacity of 300 liters, fed with 25 kg of fresh cattle manure. Primary data collected included measurements of methane gas content, hourly gas production volume, substrate pH values, and digester temperature profiles over a 10-day observation period. A comparative analysis was performed between two treatment conditions: a digester supplemented with EM4 (Effective Microorganism 4) liquid inoculant and a control digester without EM4 addition. Results indicated that the average digester temperature during the observation period was 34.18°C, which falls within the optimal mesophilic range. The measured substrate pH ranged from 6.0 to 6.7, slightly below the optimum range of 6.8–8.0 for biogas production. The floating dome digester construction was demonstrated to be capable of maintaining the anaerobic conditions required for methane gas formation.
Analysis of voltage drop causes at SMK Ponpes Manbaul Ulum Cirebon Lutfi Zulfiyan
Journal of Emerging Innovations in Engineering Vol. 2 No. 01 (2026): February 2026
Publisher : PT Pustaka Intelektual Sutajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65664/jeie.v2i01.16

Abstract

This study aimed to identify the causes, evaluate, and quantify the magnitude of voltage drop at SMK Ponpes Manba'ul’Ulum Cirebon. A descriptive quantitative approach using a single case study strategy was applied. Data were collected from PT PLN ULP Sumber, Cirebon, and through direct field measurements using a Digital Earth Tester, Digital Insulation Tester, and monitoring of a three-phase kWh meter. The findings revealed that the main cause of voltage drop was transformer overload at Distribution Substation CKPB, with a loading level of 91.20%, exceeding the 80% limit specified by the Indonesian Electricity Supply Standard (SPLN). Additional contributing factors included a 710-meter conductor length with a 70 mm² cross-sectional area, inter-phase load imbalance (I₁ = 105 A, I₂ = 149 A, I₃ = 141 A), and insulation resistance anomalies detected at several test points (0 MΩ at N-T, T-G, and N-G). Before transformer uprating, the voltage drop reached 28.49 V (14.92%), exceeding the SPLN 72:1987 tolerance range of 5–10%. After uprating the transformer capacity from 100 kVA to 160 kVA combined with load splitting, the voltage drop decreased to 13.57 V (6.33%) and transformer loading declined to 57.10%.
Self-organizing map based adaptive protection scheme for IEEE benchmark networked microgrids: a comprehensive framework for multi-modal operation Arun Kumar
Journal of Emerging Innovations in Engineering Vol. 2 No. 01 (2026): February 2026
Publisher : PT Pustaka Intelektual Sutajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65664/jeie.v2i01.17

Abstract

Purpose — This paper presents a novel adaptive protection scheme for networked microgrids (NMGs) based on the Self-Organizing Map (SOM) clustering technique, addressing critical challenges in multi-microgrid protection  coordination. Design/Methodology/Approach — An SOM-based framework automatically classifies eight distinct NMG operating conditions and adapts relay settings in real time. The method is validated comprehensively on the IEEE benchmark test system for networked microgrids using PSCAD/EMTDC simulations across normal, fault, disturbance, and emergency scenarios. Findings — The proposed scheme achieves 94.7% classification accuracy on test data, reduces fault clearing times by an average of 34.3%, decreases miscoordination events by 45%, and improves the overall protection reliability index by 10.7% compared to conventional overcurrent protection. Practical Implications — The framework includes hardware specifications, commissioning procedures, and economic analysis demonstrating a 1.75-year payback period, providing a viable roadmap for real-world deployment. Originality/Value — This is the first comprehensive implementation and validation of SOM-based adaptive protection on the standardized IEEE benchmark NMG system, covering all major operating modes and transition states within a unified framework.
Advanced flight control Systems: integration of AI and adaptive control Mahabub Sultan
Journal of Emerging Innovations in Engineering Vol. 2 No. 02 (2026): June 2026 (In Progress)
Publisher : PT Pustaka Intelektual Sutajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65664/jeie.v2i02.20

Abstract

This paper presents a comprehensive study on the implementation and simulation of advanced flight control systems for Unmanned Aerial Vehicles (UAVs). The work is divided into two primary domains: the practical application of the Pixhawk Pilot Support Package (PSP) within the MATLAB/Simulink environment and the theoretical construction of a six-degree-of-freedom (6-DOF) dynamic model for fixed-wing aircraft. By leveraging the PSP, we demonstrate the integration of hardware-in-the-loop (HIL) components, including sensor fusion via uORB and actuator control. Furthermore, a high-fidelity Python-based simulation is developed to validate the 6-DOF equations of motion and control law effectiveness. This research highlights the synergistic integration of established flight control methodologies with modern simulation tools, providing a robust framework for the development and testing of advanced UAV systems. The findings contribute to the understanding of complex flight dynamics and the practical application of AI and adaptive control principles in aerospace engineering.
Enhancing irrigation utilizing rainwater harvesting in the hilly areas of sylhet: a step toward achieving SDGS Khondokar Nazia Jarin; Mahi Abrar; Ishraque Bin Khalil; Minarul Islam
Journal of Emerging Innovations in Engineering Vol. 2 No. 02 (2026): June 2026 (In Progress)
Publisher : PT Pustaka Intelektual Sutajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65664/jeie.v2i02.24

Abstract

The study investigates the feasibility and potential of implementing rainwater harvesting (RWH) systems in the semi-mountainous region of Sylhet, Bangladesh, as a sustainable solution for water resource management. With increasing water scarcity and a heavy reliance on groundwater for irrigation, RWH presents a viable alternative that aligns with multiple Sustainable Development Goals (SDGs). Specifically, it supports SDG 6 (Clean Water and Sanitation) by providing an alternative water source, SDG 2 (Zero Hunger) by enhancing agricultural productivity, and SDG 13 (Climate Action) by promoting water conservation and resilience to climate change. The research examines two small-scale RWH systems in the Sylhet district, assessing their impact on agricultural productivity and groundwater recharge. Findings suggest that RWH can effectively support irrigation during dry periods, transforming previously uncultivated land into productive agricultural areas. By reducing dependency on groundwater, RWH contributes to sustainable water management and helps mitigate the risks of over-extraction. Despite challenges such as high initial expenses, water quality concerns, and space limitations, the study highlights the socio-economic and environmental benefits of RWH.  The research ultimately concludes that RWH is a feasible and sustainable alternative to conventional water management methods, effectively addressing water scarcity in Sylhet’s hilly regions while advancing global sustainability efforts.
Evaluation of lashing systems for onshore heavy module transportation: a quantitative analysis of securing force and sliding force Mutadi
Journal of Emerging Innovations in Engineering Vol. 2 No. 01 (2026): February 2026
Publisher : PT Pustaka Intelektual Sutajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65664/jeie.v2i01.28

Abstract

The onshore transportation of heavy modules requires a reliable lashing securing system to prevent cargo shifting, which can lead to accidents and economic losses. This study evaluates the effectiveness of a lashing system used for transporting a heavy industrial component by land. A quantitative method was employed, comparing the total securing force provided by the lashing system against the sliding force induced by vehicle acceleration, braking, and cornering. Technical data on the lashing system, module specifications, and friction coefficients were obtained from field surveys and technical documents. The results show that the total securing force of the optimized lashing system is 2.49 MT, which exceeds the maximum sliding force of 1.87 MT under emergency braking conditions. The resulting safety ratio of 1.33 meets the minimum requirements of DNVGL-ST-N001 and the IMO CSS Code. A sensitivity analysis indicates that the lashing angle and contact surface friction coefficient are the most influential parameters. This study concludes that the evaluated lashing system is safe and applicable to similar transportation operations. Recommendations are provided regarding periodic inspections and optimization of lashing configurations.
Synthesis and photocatalytic activity of Fe doped CuO nanoparticles and its kinetics study Farzana Haider; Haseeba; Kafeel Ahmad Khan; Gul Asim Ullah Nabi
Journal of Emerging Innovations in Engineering Vol. 2 No. 02 (2026): June 2026 (In Progress)
Publisher : PT Pustaka Intelektual Sutajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65664/jeie.v2i02.21

Abstract

Nanosized copper oxide and iron doped copper oxide were synthesized using green synthesis method. The samples were characterized using UV- visible spectrophotometer, FT-IR, TGA, EDX SEM and XRD. The particles were irregular yet agglomerated due to interactions between the molecules and the produced NPs. The rate of photocatalytic reaction is greatly affected by the catalyst identity. A maximum degradation of 94.56% for undoped CuO and 97.80% for Fe doped CuO nanoparticles was obtained at 0.03gm of catalyst. The pseudo first order kinetic model best fitted to the experimental data.  The Arrhenius equation to the rate constant (kApp) was also applied to undoped CuO and Fe doped CuO. The synthesized nanoparticles were cost effective, easy to use and provide greater yield
A case study on using customized large language models for requirement-to-code transformation in software engineering Seemal Shahbaz
Journal of Emerging Innovations in Engineering Vol. 2 No. 02 (2026): June 2026 (In Progress)
Publisher : PT Pustaka Intelektual Sutajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65664/jeie.v2i02.22

Abstract

Large Language Models (LLMs) have shown great promise for assisting software engineering tasks that can be automated, like mapping natural language to code. This paper describes a practical case study using a domain specific LLM to convert software requirements into semi-formal designs, tests and code. We suggest a simple iterative refinement process for engineering prompts and progressively prompting with the intention of improving the accuracy of outputs, alignment to software requirements. We validate our approach with a case study based on real-world scenarios that show how LLMs can be leveraged for requirement extraction, Generation of Object-oriented Design (OOD) and implementation steps. These findings also give an understanding of the utility of LLM-assisted development in relation to affordances and constraints.    

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