Jurnal VORTEKS
Ruang lingkup utama VORTEKS JURNAL adalah menerbitkan artikel penelitian yang asli di bidang Teknik Mesin, Elektro, Sipil dan Industri . Tim editorial bertujuan untuk mempublikasikan penelitian dan inovasi berkualitas tinggi dan sangat terapan yang berpotensi untuk disebarluaskan, dengan mempertimbangkan potensi teknik mesin yang dapat dihasilkan dengan fokus khusus pada: Teknologi Material :Material Science, Composite and Smart Material, Micro and Nano Engineering, Powder Metallurgy. Teknologi Energy : Thermal Engineering, Energy Conversion, Energy Conservation, Renewable Energy, Energy Technology, Energy Management Teknologi Mekanikal : Applied Mechanics, Automobiles and Automotive Engineering, Tribology, Biomechanics, Dynamic and Vibration, Mechanical System Design, Mechatronics and Robotics. Electrical Power dan Energy : ketenaga listrikan, Telekomunikasi dan Proses Sinyal : sistem informasi web, sistem operasi, Kontrol Automasi : Teknik kendali, Manajemen data, Teknologi Informasi :Kecerdasan Buatan, jaringan komputer Energi terbarukan : Bio Disel, Bio Ethanol, Panel Surya, Energi keterlanjutan (perpetual), Turbin, Kincir Manajemen Proyek :Rekayasa Transportasi, Sumberdaya Air (Hidroteknik), Konstruksi Rekayasa : Struktur, Geoteknik, Lingkungan, Material, Perencanaan Wilayah dan Kota Manajemen Industri : Pengendalian kualitas, Pengendalian tenaga kerja,Pemeliharaan dan perawatan mesin industri, Forecasting, Pengendalian Bahan baku, Proses Produksi, Perencanaan Biaya dan Ekonomis Ergonomi dan Analisa Perancangan Kerja : Keselamatan Kerja, Antropometri, Analisa tempat kerja dan bahan Rantai Pasok : Analisa Jaringan Kerja, Manajemen Risiko Sistem Pendukung keputusan (DSS) : Database Sistem, Pengelolaan Informasi Riset Operasi dan Sistem Modeling
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<![CDATA[The Effect of fuel mixture composition on gasoline engine emissions in urban conditions ]]>
<![CDATA[Siregar, Zufri Hasrudy]]>;
<![CDATA[Nasution, Arif Fadillah]]>;
<![CDATA[Fazri, Muhammad]]>;
<![CDATA[Refiza, Refiza]]>;
<![CDATA[Puspita, Riana]]>;
<![CDATA[Thamrin, Husni]]>;
<![CDATA[Nasution, Asmara Sari]]>
<![CDATA[ Jurnal VORTEKS Vol. 5 No. 2 (2024): October 2024 ]]>
Publisher : <![CDATA[Program Studi Teknik mesin, Fakultas Teknik, Universitas Al Azhar Medan ]]>
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DOI: 10.54123/vorteks.v5i2.389
<![CDATA[The increasing number of motorized vehicles in urban areas significantly impacts air quality and public health. Gasoline engine emissions, including CO, HC, and NOx, contribute to pollution issues such as volatile organic compounds (VOCs) and secondary organic aerosols (SOAs). Understanding these factors is crucial for developing effective emission control strategies. This study investigates the effect of ethanol-blended gasoline on vehicular emissions, focusing on CO, HC, and NOx. The research aims to optimize fuel mixtures to reduce harmful emissions while considering environmental and health impacts. The study uses a quantitative experimental design, combining laboratory tests with field trials on 10 vehicles under controlled conditions. Results show that ethanol-blended fuels significantly reduced CO emissions, from 2.4 g/km (E0) to 1.5 g/km (E30). A moderate reduction was observed in HC emissions, from 0.55 g/km (E0) to 0.40 g/km (E30). A slight decrease in NOx emissions was noted. Ethanol's oxygen content improves combustion efficiency, reducing CO and HC emissions, but may slightly increase NOx due to combustion temperature changes. This study highlights the potential of ethanol as an environmentally friendly fuel alternative, with further research needed to address NOx-related challenges]]>
<![CDATA[Soil investigation dutch penetration test implementation of North Sumatra Polda Flat Houses ]]>
<![CDATA[Suita, Diana]]>;
<![CDATA[Simanjuntak, Johan Oberlyn]]>;
<![CDATA[Lubis, Muhammad Yusuf Parlagutan]]>;
<![CDATA[Simorangkir, Simon Petrus]]>
<![CDATA[ Jurnal VORTEKS Vol. 5 No. 2 (2024): October 2024 ]]>
Publisher : <![CDATA[Program Studi Teknik mesin, Fakultas Teknik, Universitas Al Azhar Medan ]]>
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DOI: 10.54123/vorteks.v5i2.390
<![CDATA[From the results of drilling tests with machine drills, standard penetration tests (SPT), and DCPT or sondir tests, several conclusions can be taken as follows: 1). The results of boring tests show that the soil layer has medium soil consistency at a depth of 0 - 9.85 meters with NSPT value 10 – 30. 2). The soil layer consists of sandy clay, fine sand pumice stone, and fine sand. 3). Test results for the depth of solid soil at a depth of 18.6 – 19.00 meters. 4. The cone tip resistance at point S-01 is 200 kg/cm2 and S-02 is 173 kg/cm2 5). Calculation of the vertical Bearing Capacity (Qi) of the pile foundation from SPT data using a safety factor for tip penetration resistance = 3, for sticky resistance used = 5. 6). For large construction loads using deep foundations, it is necessary to check to a depth of > 10 meters or attain NSPT 60 in a row 3 times]]>
<![CDATA[Application of Min-Max Stock Method in the optimization of auxiliary raw material inventory in the biodiesel industry ]]>
<![CDATA[Amta, Indrian Saputra]]>;
<![CDATA[Siregar, Masdania Zurairah]]>;
<![CDATA[Lubis, Muhammad Fiza]]>
<![CDATA[ Jurnal VORTEKS Vol. 5 No. 2 (2024): October 2024 ]]>
Publisher : <![CDATA[Program Studi Teknik mesin, Fakultas Teknik, Universitas Al Azhar Medan ]]>
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DOI: 10.54123/vorteks.v5i2.407
<![CDATA[Inventory is an aspect of manufacturing operations to ensure the availability of raw materials while minimizing costs. PT. Permata Hijau Palm Oleo Belawan, a biodiesel company, faces challenges in balancing the inventory levels of key auxiliary raw materials such as Methanol, Catalyst, NaOH, Inventory is an aspect of manufacturing operations to ensure the availability of raw materials while minimizing costs. PT. Permata Hijau Palm Oleo Belawan, a biodiesel company, faces challenges in balancing the inventory levels of key auxiliary raw materials such as Methanol, Catalyst, NaOH, and HCl. Excessive inventory results in high storage costs, while inventory shortages can disrupt production continuity. This study aims to evaluate the effectiveness of the Min-Max Stock method in optimizing auxiliary raw material inventory at PT. Permata Hijau Palm Oleo Belawan, addressing its practical impacts on cost reduction and efficiency improvement in the palm oil-based biofuel industry. This study uses a quantitative approach, utilizing historical data on the purchase and usage of raw materials during the 2019-2020 period. The Min-Max Stock method is applied to determine the optimal inventory level, comparing the actual inventory level with the calculated minimum and maximum thresholds. The implementation of the Min-Max Stock method can save storage costs of around IDR 35 billion. The implementation of the Min-Max Stock method offers a solution that increases efficiency, reduces costs, and prevents production disruptionsand HCl. Excessive inventory results in high storage costs, while inventory shortages can disrupt production continuity. This study aims to evaluate the effectiveness of the Min-Max Stock method in optimizing auxiliary raw material inventory at PT. Permata Hijau Palm Oleo Belawan, addressing its practical impacts on cost reduction and efficiency improvement in the palm oil-based biofuel industry. This study uses a quantitative approach, utilizing historical data on the purchase and usage of raw materials during the 2019-2020 period. The Min-Max Stock method is applied to determine the optimal inventory level, comparing the actual inventory level with the calculated minimum and maximum thresholds. The implementation of the Min-Max Stock method can save storage costs of around IDR 35 billion. The implementation of the Min-Max Stock method offers a solution that increases efficiency, reduces costs, and prevents production disruptions]]>
<![CDATA[The present study proposes a novel integration of logic tree analysis (LTA) and fuzzy failure mode and effect analysis (Fuzzy-FMEA) in the domain of production machine maintenance planning ]]>
<![CDATA[Supriyanto]]>
<![CDATA[ Jurnal VORTEKS Vol. 5 No. 2 (2024): October 2024 ]]>
Publisher : <![CDATA[Program Studi Teknik mesin, Fakultas Teknik, Universitas Al Azhar Medan ]]>
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DOI: 10.54123/vorteks.v5i2.424
<![CDATA[The reliability and efficiency of machinery in a production system are contingent upon proper failure analysis. The objective of this study is to identify and evaluate the primary failure modes in machine components using the Failure Mode and Effect Analysis (FMEA) method and Risk Priority Number (RPN) calculation. The analysis results indicate that Belt Conveyors and Bearings have the highest RPN value (180), signifying a substantial risk of failure relative to other components. The study identified severity, occurrence, and detection as the primary factors contributing to failure. Additionally, the analysis categorized components based on risk level, with category B (outage) exhibiting a 100% proportion, signifying that all failures have a direct impact on system operations. The findings of this study provide a foundation for the development of a more effective maintenance strategy, aimed at minimizing the likelihood of failure and enhancing the performance of the production system.]]>
<![CDATA[Integration of forecasting and MRP models for optimization of CPO raw material inventory in the palm oil industry ]]>
<![CDATA[Sitepu, Oky Febryanta]]>;
<![CDATA[Zurairah, Masdania]]>;
<![CDATA[Rezeki, Rahmad]]>;
<![CDATA[Refiza]]>;
<![CDATA[Lubis, Muhammad Fiza]]>
<![CDATA[ Jurnal VORTEKS Vol. 5 No. 2 (2024): October 2024 ]]>
Publisher : <![CDATA[Program Studi Teknik mesin, Fakultas Teknik, Universitas Al Azhar Medan ]]>
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DOI: 10.54123/vorteks.v5i2.429
<![CDATA[Inventory management of raw materials is a crucial aspect in ensuring the smooth production process of the palm oil industry. This study examines the effectiveness of integrating forecasting models and Material Requirement Planning (MRP) to optimize the inventory of Crude Palm Oil (CPO) raw materials at PT Salapian Indo Sawit. The palm oil industry in Indonesia represents about 3.5% of the national Gross Domestic Product (GDP) and provides employment for more than 17 million people. Inaccuracies in raw material inventory management lead to disruptions in the production process and inefficiencies in operational costs. The literature review shows that MRP methods with lot-for-lot techniques have been effectively implemented in various industries, but their application in the palm oil sector is still limited. The objective of this research is to analyze optimal forecasting methods for CPO raw material requirements and evaluate the efficiency of MRP implementation compared to conventional methods. The novelty of this research lies in the integration of forecasting methods (Moving Average and Single Exponential Smoothing) with MRP specifically for the palm oil industry, considering the unique characteristics of the palm oil supply chain. The study uses a descriptive quantitative approach with demand and historical production data from June 2020 to May 2021. The results indicate that the Single Exponential Smoothing method with ?=0.5 provides the best forecasting accuracy (MAPE=0.120; MSE=436.17). Implementing MRP with lot-for-lot techniques results in significant efficiencies, including a reduction in order frequency (26.67%), a reduction in order quantity (7.63%), and a reduction in initial inventory (8.10%). This study concludes that integrating an accurate forecasting model with the MRP system is effective for optimizing CPO raw material inventory and enhancing the operational efficiency of the company.]]>
