Journal La Multiapp
International Journal La Multiapp peer reviewed, open access Academic and Research Journal which publishes Original Research Articles and Review Article, editorial comments etc in all fields of Engineering, Technology, Applied Sciences including Engineering, Technology, Computer Sciences, Architect, Applied Biology, Applied Chemistry, Applied Physics, Material Engineering, Civil Engineering, Military and Defense Studies, Photography, Cryptography, Electrical Engineering, Electronics, Environment Engineering, Computer Engineering, Software Engineering, Electromechanical Engineering, Transport Engineering, Mining Engineering, Telecommunication Engineering, Aerospace Engineering, Food Science, Geography, Oil & Petroleum Engineering, Biotechnology, Agricultural Engineering, Food Engineering, Material Science, Earth Science, Geophysics, Meteorology, Geology, Health and Sports Sciences, Industrial Engineering, Information and Technology, Social Shaping of Technology, Journalism, Art Study, Artificial Intelligence, and other Applied Sciences.
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327 Documents
<![CDATA[Geological Investigation and Treatment of the Cabean Dam Foundation ]]>
<![CDATA[Rachman, Muhammad Perwira]]>;
<![CDATA[Sangkawati, Sri]]>;
<![CDATA[Sriyana, Ignatius]]>;
<![CDATA[Kurniawan, Yudi]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i2.3077
<![CDATA[Embankment dams are critical infrastructure requiring comprehensive geological and geotechnical investigation to ensure long-term structural integrity and prevent catastrophic failure. This study presents the results of two-stage Multichannel Analysis of Surface Waves (MASW) investigations conducted at Cabean Dam core zone to characterize shear wave velocity (Vs) profiles and identify weak zones susceptible to seepage and slope instability. The first stage (2022) involved 17 survey lines while the second stage (2025) comprised 11 additional lines targeting critical areas. Shear wave velocity values ranged from 78–756 m/s, indicating significant material heterogeneity. Low Vs anomalies (78–200 m/s) were identified in the upper 0–7 meter depth at survey lines L-01, L-07, L-08, and L-09, correlating with residual soil having high permeability values up to 3.06×10⁻⁴ m/s and Lugeon values reaching 25.34 Lu. Integration of MASW data with borehole logs confirmed material classifications ranging from Site Class E (soft soil) at shallow depths to Site Class B (stiff soil) at greater depths. The identified weak zones pose significant risks for seepage, internal erosion (piping), and slope instability, requiring remedial measures including recompaction, optimized internal drainage design, and enhanced instrumentation monitoring. This research contributes methodological advancement in applying MASW as an integral component of staged investigation protocols for embankment dam projects, particularly for monitoring and refining geological-geotechnical conditions during construction phase. Results serve as a reference for practitioners and researchers in geotechnical dam engineering for improving safety and reliability of embankment dam infrastructure in Indonesia.]]>
<![CDATA[Spatial Analysis of Landslide Dynamics in Muara Enim Regency Based on Rainfall ]]>
<![CDATA[Billa, Yosika Agustina]]>;
<![CDATA[Mardiansyah, Wijaya]]>;
<![CDATA[Kurniawati, Netty]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i2.2955
<![CDATA[Muara Enim Regency experiences significant landslide hazards requiring comprehensive understanding of rainfall dynamics and triggering mechanisms. This research investigates the spatial and temporal relationships between rainfall patterns and landslide occurrence using quantitative descriptive analysis with Geographic Information Systems. The study analyzed CHIRPS satellite rainfall data and institutional disaster records spanning 2017 to 2024, encompassing 75 documented landslide events across 96 monthly observations within Muara Enim Regency (7,483 square kilometers). Data analysis employed Inverse Distance Weighting interpolation with power parameter two to generate monthly rainfall surfaces, supplemented by descriptive statistics quantifying annual and monthly precipitation variations. Results revealed annual rainfall fluctuation ranging from 2,267 millimeters (2019) to 3,656 millimeters (2022), with pronounced seasonal patterns showing peaks in December (363 millimeters) and March (350 millimeters), contrasting with dry season minima in August (136 millimeters) and September (154 millimeters). Landslide occurrence clustered prominently during February, March, and November, recording eight to nine documented events respectively, while August and September with minimal rainfall showed zero to one landslide event. Analysis demonstrates strong correlation between rainfall intensity and landslide frequency, substantiating rainfall as a primary triggering mechanism for slope instability in mountainous tropical regions. This research provides foundational empirical evidence supporting subsequent integrated landslide hazard assessment and early warning system development in Muara Enim Regency and comparable Indonesian mountain regions.]]>
<![CDATA[Thermal Effectiveness Analysis of Lube Oil Cooler Fan with Capacity of 40.332 Kg/S with Pressure of 5 Bar ]]>
<![CDATA[Pratama, Angga Bahri]]>;
<![CDATA[Razak, Abdul]]>;
<![CDATA[Sahat, Sahat]]>;
<![CDATA[Manurung, Nelson]]>;
<![CDATA[Ginting, Berta Br]]>;
<![CDATA[Sinaga, Franklin Taruyun Hudeardo]]>;
<![CDATA[Zumhari, Zumhari]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 3 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i3.841
<![CDATA[The Lube Oil Cooler Fan is an essential component in the lubrication system of a gas turbine because it maintains lubricating oil temperature within a safe operating range. This study aims to analyze the thermal performance and effectiveness of the Lube Oil Cooler Fan on Gas Turbine GT 1.1 at PT XYZ. The study employed a descriptive quantitative approach using field observation data and heat transfer calculations. The analysis was conducted through the Log Mean Temperature Difference method and heat exchanger effectiveness approach by considering fluid temperature changes, mass flow rates, thermophysical properties, flow characteristics, convective heat transfer coefficients, overall heat transfer coefficient, heat transfer rate, and thermal effectiveness. The results show that the lubricating oil temperature decreased from 61°C to 49°C, while the cooling air temperature increased from 32°C to 53.5°C. The tube side heat transfer coefficient was 40.71 W/m²°C, the shell side heat transfer coefficient was 308 W/m²°C, and the overall heat transfer coefficient was 30.61 W/m²°C. The calculated heat transfer rate was 992.57 W or approximately 0.993 kW. The lubricating oil was identified as the minimum heat capacity fluid, with a heat capacity rate of 33.13 kW/°C. The thermal effectiveness of the Lube Oil Cooler Fan was 41.4%, indicating that the cooler was able to perform its cooling function, although its performance remained moderate. Routine monitoring, stable airflow control, and periodic cleaning are recommended to improve thermal performance.]]>
<![CDATA[Efficiency and Performance Analysis of the Design and Construction of a 30 Kg/Hour Coffee Grinding Machine ]]>
<![CDATA[Sinaga, Franklin Taruyun Hudeardo]]>;
<![CDATA[Saragi, Jandri Fan HT]]>;
<![CDATA[Boangmanalu, Eka Putra Dairi]]>;
<![CDATA[Pratama, Angga Bahri]]>;
<![CDATA[Sahat, Sahat]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 3 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i3.1416
<![CDATA[This study aims to evaluate the performance of a disk mill coffee grinding machine with a design capacity of 30 kg per hour for small and medium scale coffee processing. The machine was developed as a practical gasoline powered grinder to support coffee processing activities, particularly in areas where access to electricity may be limited. A performance test was conducted using roasted coffee beans with three input loads, namely 500 g, 750 g, and 1000 g. The observed parameters included grinding time, grinding capacity, product yield, residual material, material loss, material conversion efficiency, energy efficiency, and grinding quality based on particle size distribution. The results show that the machine achieved an average grinding capacity of 29.68 kg per hour, which is close to the intended capacity of 30 kg per hour. The average product yield and material conversion efficiency reached 94.55 percent, while the average material loss was 1.11 percent. However, residual material remained at 4.00 percent, indicating that the grinding chamber and discharge system still require improvement. The energy efficiency was reported at 73.8 percent, although the engine power specification needs further clarification. In terms of grinding quality, 70 percent of the particles were within the desired range of 500 to 700 micrometers. These findings indicate that the machine is technically feasible for small scale coffee production, but further refinement is needed to improve material discharge, reduce residual particles, and strengthen particle size consistency.]]>
<![CDATA[Risk Management Analysis and Mitigation Strategies for the Self-Heating Coal Phenomenon in Coal Loading Operations ]]>
<![CDATA[Yasser Al Rashid, Akbar]]>;
<![CDATA[Suwondo, I'ie]]>;
<![CDATA[Rahayu, Dr. Trisnowati]]>;
<![CDATA[Hermanto, Fazri]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i2.2921
<![CDATA[The phenomenon of coal self-heating represents a critical risk during loading operations at Muara Jawa Port, as it can lead to temperature escalation, smoke generation, and potential fire hazards. This study examines the causes of coal self-heating, assesses its risk level, and evaluates the conformity of handling practices with the IMSBC Code and the IMDG Code. A descriptive qualitative approach was employed, involving direct observation aboard MV Golden Ace, temperature measurements using a thermal scanner, and risk analysis through Hazard Identification and Risk Assessment (HIRA). The findings indicate that coal temperatures reached 61°C, exceeding the safe threshold of 55°C as stipulated by the IMSBC Code, thereby necessitating the suspension of loading operations to allow for cooling. The HIRA results identify the highest risk phase occurring during the transfer of coal from barges to grab cranes, due to increased exposure to air and high humidity levels. While several operational procedures were found to be compliant with existing regulations, shortcomings remain in temperature documentation and gas monitoring practices. This study underscores the importance of early detection, continuous temperature surveillance, and effective mitigation strategies to enhance operational safety in coal loading activities.]]>
<![CDATA[Strategic Adaptive Federated Learning Framework for Privacy-Preserving Image Data Mining in Highly Heterogeneous Medical Environments ]]>
<![CDATA[Gailan, Mayyadah Jabbar]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 3 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i3.3164
<![CDATA[The data mining of medical imaging data is being increasingly restricted by stringent data privacy regulations like the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA). Even though FL offers a decentralized framework for model training, it suffers from significant performance degradation in heterogeneous settings characterized by non-IID data. In this work, a novel framework, namely Adaptive Privacy-Preserving Federated Learning, is proposed. This framework combines an adaptive weighting scheme with Differential Privacy to address the issue of divergence caused by statistical heterogeneity. As per the experimental evaluation of the MedMNIST dataset, a classification accuracy of 94.2% is achieved with a privacy budget of ε = 1.0.]]>
<![CDATA[Development of an Automated Infrared Therapy System Based on MLX90614 Sensor for Muscle Pain Treatment ]]>
<![CDATA[Annisa, Zhudiah]]>;
<![CDATA[Falah, Agus Hayatal]]>;
<![CDATA[Wisaksono, Arief]]>;
<![CDATA[Saputra, Dwi Hadidjaja Rasjid]]>
<![CDATA[ Journal La Multiapp Vol. 7 No. 3 (2026): Journal La Multiapp ]]>
Publisher : <![CDATA[Newinera Publisher ]]>
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DOI: 10.37899/journallamultiapp.v7i3.3139
<![CDATA[This study aims to design and evaluate an automatic infrared therapy system capable of maintaining temperature stability within a safe and controlled range. The system utilizes a non-contact infrared temperature sensor MLX90614, an ultrasonic distance sensor HC-SR04, an Arduino Uno microcontroller, and an infrared lamp regulated by a pulse width modulation (PWM) signal. Temperature control is implemented using a proportional control (P-Control) method, while sensor data is processed using a moving average filter to reduce measurement noise. Experimental testing was conducted by comparing system responses without control and with P-Control at three distance variations, namely 15 cm, 30 cm, and 45 cm. The results show that the uncontrolled system produced a temperature deviation of ±1.8°C, while the implementation of P-Control reduced the deviation to ±0.6°C at a setpoint of 45°C. However, the achieved average temperature varied depending on distance, with values ranging from 35.27°C to 42.61°C across all test conditions. These results indicate that the application of P-Control combined with a moving average filter is effective in improving temperature stability, although the heating performance is influenced by the distance between the sensor and the object. This system demonstrates potential for safer and more controlled infrared therapy applications.]]>
