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International Journal of Mechanical, Industrial and Control Systems Engineering
Published by Asosiasi Riset Ilmu Teknik Indonesia
ISSN : 30474558     EISSN : 30474566     DOI : 10.61132
Core Subject : Science, Engineering,
Computer Science & IT Engineering
open research journal of the Engineering Science Clump. The fields of study in this journal include the sub-groups of Civil Engineering and Spatial Planning, Engineering, Electrical and Computer Engineering, Earth and Marine Engineering
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 35 Documents
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Quality Control Analysis on MPGG Products Using Six Sigma DMAIC Method at PT Nugraha Potong Tekuk Egga Jerri Indri Saputri; Ahmad Zada Hilmi Syifa
International Journal of Mechanical, Industrial and Control Systems Engineering Vol. 2 No. 1 (2025): March :IJMICSE: International Journal of Mechanical, Industrial and Control Sys
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmicse.v2i1.174

Abstract

Product quality is a key factor in enhancing a company's competitiveness. PT Nugraha Potong Tekuk, a producer of MPGG products, experienced a significant increase in the defect rate, reaching 11% of total production during the period from June 24 to July 16, 2024. This study aims to analyze the defect rate, identify the main causes, and provide improvement recommendations. The study follows the Six Sigma methodology, including the Define, Measure, Analyze, Improve, and Control (DMAIC) phases. Based on P-Chart analysis, the production process is within statistical control limits, but the defect rate still requires improvement. Two main types of defects were identified: unevenness and size defects, each accounting for 50% of the total defects. Fishbone diagram analysis revealed four main contributing factors: people, machines, materials, and environment. The people factor includes lack of operator skills and operator fatigue, while the machine factor covers worn-out tools and uncalibrated measuring instruments. The material factor is related to low-quality raw materials, and the environmental factor includes poor lighting and unstable work surfaces. Improvement recommendations include operator training, routine machine maintenance, quality control of raw materials, and improvement of the work environment. This study is expected to help PT Nugraha Potong Tekuk enhance product quality, reduce defect rates, and maintain competitiveness in the market.
Al-Amin Living Lab and Industrial Park Waste Management Program Rahmadhani Fitri; Faurantia Faurlana Sigit; Benny Iskandar; Andini Rahmadani
International Journal of Mechanical, Industrial and Control Systems Engineering Vol. 1 No. 2 (2024): June: IJMICSE: International Journal of Mechanical, Industrial and Control Syst
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmicse.v1i4.252

Abstract

The population growth that aligns with the increasing diverse needs will lead to an increase in waste or residues, both from consumption processes and the results of activities carried out, in the form of garbage. The purpose of this study is to understand the planning of the waste management system at Al-Amin Living Lab and Industrial Park. The research material is the site location in Sampe Cita Village, Kutalimbaru District, Deli Serdang Regency, considering and taking into account the existing waste management system. Littering will affect the activities of the surrounding community, which can ultimately lead to disease. The data used in the study of the management system involves several data collection techniques, namely, field observation and document analysis, direct observation in the field to observe waste management practices, such as collection, sorting, transportation, and disposal. Based on the results of the study, it is explained that the general activities of waste management planning at Al-Amin Living Lab and Industrial Park include containment, collection, transfer, and transportation of waste to the landfill. In terms of waste management planning at Al-Amin Living Lab and Industrial Park, it will consider the needs of people, the amount of waste generated, containment, and the TPST of Al-Amin Living Lab and Industrial Park area, as well as effective waste management.
Analysis of the Application of Additive Manufacturing for On-Demand Repair and Maintenance of Naval Equipment in Remote Maritime Operations Yustiani Frastika; Frisca Mareyta Pongoh; Dedtri Anwar; Arika Palapa; Jaya Alamsya
International Journal of Mechanical, Industrial and Control Systems Engineering Vol. 2 No. 3 (2025): September :IJMICSE: International Journal of Mechanical, Industrial and Control
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmicse.v2i1.255

Abstract

Background: Traditional naval maintenance strategies rely on centralized supply chains and pre-manufactured spare parts, leading to long repair downtimes and logistical inefficiencies, particularly for vessels operating in remote maritime regions. Additive manufacturing (3D printing) offers a disruptive alternative by enabling on-demand production of spare parts, reducing dependence on external suppliers, and enhancing fleet self-sufficiency. However, material durability, operational feasibility, and cost-effectiveness remain underexplored for naval applications. Original Value: This research advances the study of AM in naval engineering, assessing its practical viability beyond theoretical potential. Unlike previous studies focusing on commercial maritime applications, this study evaluates 3D printing’s impact on naval fleet readiness, supply chain resilience, and sustainability. Objectives: The study investigates how 3D printing can optimize naval maintenance efficiency, specifically analyzing its feasibility, material performance, cost implications, and logistical advantages. Methodology: A qualitative-empirical approach was used, combining material performance testing, expert interviews, and operational case studies to evaluate mechanical durability, economic feasibility, and AM integration challenges. Results: Findings indicate that AM reduces repair downtime by 40%, lowers part procurement costs by 30–50%, and enhances supply chain resilience. However, material limitations and infrastructure readiness remain key adoption challenges. Conclusions: Hybrid AM adoption—where 3D printing supplements rather than replaces traditional manufacturing—offers the most practical near-term approach for naval fleets. Strategic investment in material research, onboard AM training, and fabrication infrastructure will enhance fleet efficiency, reduce environmental impact, and future-proof maritime maintenance strategies.
Enhancing Predictive Maintenance Strategies for Naval Auxiliary Systems in Maritime Training Vessels : A Qualitative and Sensor-Based Analysis Jaya Alamsyah; Yustiani Frastika; Stevian G. A. Rakka; Haryadi Wijaya; Santun Irawan
International Journal of Mechanical, Industrial and Control Systems Engineering Vol. 2 No. 3 (2025): September :IJMICSE: International Journal of Mechanical, Industrial and Control
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmicse.v2i1.256

Abstract

Background: Maritime engineering has traditionally relied on reactive and preventive maintenance strategies, often leading to operational inefficiencies, unplanned downtime, and excessive costs. With the rise of smart ship technologies, predictive maintenance (PdM) has emerged as a data-driven solution, leveraging sensor-based monitoring and real-time diagnostics to optimize ship maintenance. However, its integration into maritime education remains underexplored, particularly in training vessels used for vocational learning. Original Value: This research contributes new insights into the feasibility, effectiveness, and educational relevance of predictive maintenance in maritime vocational training. Unlike previous studies that focus on commercial ship applications, this study examines PdM within the context of training vessels at Poltekpel SULUT, bridging the gap between academic training and industry expectations. Objectives: The study seeks to answer: How does predictive maintenance improve the efficiency, cost-effectiveness, and reliability of naval auxiliary systems in training vessels? Methodology: A qualitative approach was employed, integrating sensor-based performance analysis, structured interviews, and questionnaire surveys involving cadets, instructors, and industry professionals. Data were analyzed through thematic categorization, cross-group comparisons, and narrative synthesis. Results: PdM demonstrated high effectiveness in reducing downtime (92/100), optimizing maintenance efficiency (91/100), and aligning with industry practices (89/100). However, challenges in sensor accuracy (85/100) and training integration were identified. Conclusions: The findings highlight the necessity of incorporating predictive maintenance into maritime training curricula to equip future engineers with the skills required for Industry 4.0 maintenance solutions, ensuring better operational efficiency and sustainability in the maritime sector.
Analysis of User-Friendly BST Permanent Shelter Using Kansei Engineering and Administrative Law Brillian Nur Diansari; Aris Prio Agus Santoso; Fadlan Syariel Ali; Fahar Fauzan
International Journal of Mechanical, Industrial and Control Systems Engineering Vol. 2 No. 2 (2025): June :IJMICSE: International Journal of Mechanical, Industrial and Control Syst
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmicse.v2i2.297

Abstract

Urban communities in Surakarta City tend to have high mobility which has an impact on rapid growth.  They need a safe, comfort and efficient transportation system. Surakarta City Transportation Agency presents Batik Solo Trans (BST) to answer these needs. However, the presence of BST is not balanced with user comfort at the BST permanent shelter. The incompatibility of shelter facilities with established standards causes users especially the disabled can’t access independently. This research aims to analyze user assessments and needs using Kansei Engineering and Administrative Law methods to determine the components to create a user-friendly BST permanent shelter. Purposive sampling was used to obtain data from 130 respondents based on interviews, questionnaires and observations. The results showed that comfort and equality are mandatory standards for creating a user-friendly BST permanent shelter. There are 5 aspects that have a significant influence on these standards. Those aspects are clean shelter, clear shelter, strategic location, appropriate shelter width and appropriate of shelter’s access height.
Application of Gravity Force on Banana Cutting Machines Nur Hayati; Raka Mahendra Sulistiyo
International Journal of Mechanical, Industrial and Control Systems Engineering Vol. 2 No. 2 (2025): June :IJMICSE: International Journal of Mechanical, Industrial and Control Syst
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmicse.v2i2.298

Abstract

Indonesian people love to consume bananas as fruit. Many sources of nutrients, including minerals and carbohydrates, are contained in this fruit. Various UMKM (Usaha Mikro, Kecil dan Menengah) have grown by developing processed banana foods such as sale and banana chips. An important step in making processed banana dishes is cutting the bananas. In general UMKM still process bananas using conventional techniques, namely cutting using manual human power. The purpose of this study is to utilize gravity to design a banana cutting machine. Gravity will cause the banana pieces to fall into the storage container. The dimensions of the cutting machine are designed with a small size to facilitate mobility. The results showed that the use of a cutting machine increased the efficiency of banana cutting. A more uniform cutting thickness was achieved.
Effect of Tail Configuration Variation and Stability Level on Battery Performance in Unmanned Aerialvehicles (UAV) Belia Alfiko; Agus Nur Cahyo; Heru Susanto
International Journal of Mechanical, Industrial and Control Systems Engineering Vol. 2 No. 2 (2025): June :IJMICSE: International Journal of Mechanical, Industrial and Control Syst
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmicse.v2i2.328

Abstract

This study investigates the impact of tail configuration variations on flight stability and battery energy efficiency in Unmanned Aerial Vehicles (UAVs). Three distinct tail types were tested: the conventional tail, the T-Tail, and the V-Tail. The objective was to compare how these tail designs affected the overall performance of UAVs, especially focusing on the balance between stability and energy efficiency. The experiments were conducted through a series of flight tests in a controlled outdoor environment, providing reliable and accurate data. During these flight tests, several performance metrics were recorded, including IMU-based angular deviations for pitch, roll, and yaw, energy consumption, flight time, voltage, and battery power. The data collected allowed for a thorough analysis of how the tail design influenced the flight characteristics of the UAVs. The results showed that the T-Tail configuration provided the highest flight stability, as indicated by the smallest angular deviations and minimal vibration during flight. This design’s enhanced stability made it the most reliable, especially for missions requiring precision control. In contrast, the V-Tail configuration proved to be the most energy-efficient, consuming only 22.80 Wh. Despite its low energy consumption, the V-Tail showed the lowest stability due to control coupling between the pitch and yaw axes, resulting in higher angular deviations and less precise control. The conventional tail, while not the best in terms of either stability or energy efficiency, struck a reasonable balance between the two. This configuration provided adequate stability while ensuring efficient battery usage, making it a suitable choice for general UAV applications. The findings of this study highlight the direct influence of tail design on UAV performance. There is a clear trade-off between flight stability and energy efficiency, with the conventional tail offering the best compromise.
Design and Simulation of Screw Flow in a Prototype Injection Molding Machine Using Recycled Polypropylene Riswan E. W. Susanto; Ahsin Fahmi M; Hafidzul Ulum; Rima Z. K. Nisak; Salim Subarkah
International Journal of Mechanical, Industrial and Control Systems Engineering Vol. 2 No. 2 (2025): June :IJMICSE: International Journal of Mechanical, Industrial and Control Syst
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmicse.v2i2.334

Abstract

Plastic waste is currently still a serious problem for society due to the lack of sensitivity to environmental problems and the impact of careless disposal of plastic waste in many places. The injection molding process on industry scale often faces obstacles such as machines that have not worked efficiently, injection capacity that is unable to fill the mold completely, and the emergence of product defects due to plastic flow that begins to freeze before the entire cavity is completely filled. This study aims to design and simulate a prototype injection molding machine with a capacity of 4 tensile test specimens (total volume 28.5 cm³) in order to overcome these problems and to adjust the practicum needs of mechanical engineering students. The design process is carried out with SolidWorks software for 3D design, as well as flow simulation using SolidWorks Plastics and Flow Simulation with recycled Polypropylene (PP) material at melting temperature ± 230 ° C and injection pressure ± 5.3 MPa. The design results in a machine with dimensions of 1273 × 400 × 826 mm equipped with main components in the form of a frame, electric motor and gearbox, hopper, body safety, wheels, piston cylinder, control panel, heater, screw with barrel, and mold. SolidWorks Plastics simulation shows that the plastic flow fills the mold evenly with a filling time of 10.93 seconds, cycle time of 83.94 seconds, and maximum pressure of 5.38 MPa in the gate area, while Flow Simulation simulation shows a spiral flow pattern from the hopper to the end of the mold without backflow, with a mass flow rate of 0.0227 kg/sec and an average pressure of 97.765 Pa. These results prove that the design and simulation can improve process efficiency and mold quality
Enhancing Soft Tissue Manipulation in Surgical Robotics through the Integration of Real-Time Haptic and Visual Feedback Aslim Muda Azis; Baso Alauddin; Yanti Yanti; Rachmat Rachmat
International Journal of Mechanical, Industrial and Control Systems Engineering Vol. 2 No. 3 (2025): September :IJMICSE: International Journal of Mechanical, Industrial and Control
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmicse.v2i3.339

Abstract

Conventional robotic surgical systems, while offering enhanced dexterity and 3D visualization, suffer from a critical limitation: the absence of tactile sensation. This sensory disconnect can lead to inadvertent tissue damage from excessive force application and complicates delicate maneuvers that rely on the surgeon's sense of touch. This research proposes and validates a novel surgical robotic system architecture designed to bridge this sensory gap by integrating high-fidelity 3D visual input with accurate, real-time force feedback from tactile sensors mounted on the end-effector. To rigorously evaluate this innovation, a structured comparative methodology was employed. A cohort of surgeons performed standardized surgical tasks, including suturing and tissue manipulation, on realistic soft-tissue phantoms. The performance of a conventional (visual-only) system was benchmarked against that of the proposed (visual-haptic) system. A comprehensive dataset was collected, which included objective metrics such as task completion time, precision deviation from the ideal tool path, and the magnitude of applied forces. Concurrently, subjective evaluations from the participating surgeons were gathered to assess perceived control, cognitive workload, and overall task confidence. The test data revealed statistically significant improvements when using the visual-haptic system. Participants not only completed tasks with greater speed and accuracy but also applied considerably lower and more consistent forces. The analysis underscores that haptic feedback, enabled by advanced sensor fusion, not only restores a crucial 'sense of touch' to the surgeon but also reduces the incidence of excessive force application, potentially minimizing tissue trauma and improving patient recovery. These findings confirm the hypothesis that haptic-visual integration constitutes a new paradigm in robotic surgery, shifting the paradigm from purely visual guidance to a more intuitive, multi-sensory surgical experience. This study also discusses future challenges and opportunities, including the potential for AI-driven partial autonomy, such as creating virtual safety boundaries or automating sub-tasks, and the development of next-generation sensor technologies to further enhance clinical outcomes.
A Systematic Review of Artificial Intelligence Adoption in Higher Education LMS: Readiness and Acceptance (2020–2025) Mohd Rizal Bin Dolah; Mohammad Hairy Bin Kharauddin; Norashikin binti Amir
International Journal of Mechanical, Industrial and Control Systems Engineering Vol. 2 No. 3 (2025): September :IJMICSE: International Journal of Mechanical, Industrial and Control
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmicse.v2i3.351

Abstract

Artificial Intelligence (AI) has increasingly shaped the digital transformation of higher education, particularly through its integration with Learning Management Systems (LMS). Features such as intelligent tutoring, predictive analytics, plagiarism detection, and automated grading are reshaping teaching and learning. However, questions remain regarding the readiness of higher education institutions and the acceptance among lecturers and students. This paper presents a Systematic Literature Review (SLR) of studies published between 2020 and 2025, focusing on readiness and acceptance of AI in LMS. Guided by the PRISMA framework, 220 records were identified, 85 screened, 40 assessed for eligibility, and 20 included in the final analysis. Findings highlight that readiness is largely influenced by infrastructure, digital literacy, and institutional policy, while acceptance is shaped by perceived usefulness, ease of use, trust, and behavioural intention. Although challenges such as ethics, cost, and privacy concerns persist, opportunities exist in the form of personalized learning and intelligent decision-making. The review concludes that while AI adoption in LMS is progressing globally, developing contexts such as Malaysian polytechnics require further research and targeted interventions to enhance both readiness and acceptance.

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