E-Journal Politeknik Negeri Cilacap
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Reduction Cost in Material Spring-type Coil for Heavy-duty Oil Filter By-pass System with Redesigning
The bypass system in oil filters plays a crucial role in maintaining engine cleanliness and performance by allowing oil to flow through the filter when the pressure exceeds set limits. A critical component of this system is the coil spring that controls the bypass valve. In this study, an experimental approach was applied to reduce material cost while preserving performance. We redesigned the spring from four coils of 3.5 mm diameter to three coils of 3 mm diameter, using the same standard hard steel wire SW‑C. The redesigned springs were subjected to a standard impulse test of 250,000 cycles under 7 kgf/cm² pressure and a loading test with deflections from 1 to 10 mm at pressures up to 11 kgf. Results show that the new three‑coil SW‑C spring meets all performance criteria: impulse life and load‑deflection characteristics fall within standard tolerances. A direct comparison with the original design demonstrates negligible differences in functional behavior, confirming that material usage and costs can be reduced without sacrificing reliability. These findings offer valuable guidance for the cost‑efficient production of oil filter components in automotive engineering.Sistem bypass pada filter oli berperan penting dalam menjaga kebersihan dan kinerja mesin dengan memungkinkan oli mengalir melalui filter saat tekanan terlalu tinggi. Komponen penting dari sistem ini adalah pegas koil yang mengendalikan katup bypass. Namun, biaya Material pegas koil yang tinggi menjadi tantangan bagi produsen. Penelitian ini bertujuan untuk mengurangi biaya Material pegas koil pada sistem bypass filter oli dengan mendesain ulang. Metodologi yang digunakan meliputi analisis Material alternatif, simulasi kekuatan dan daya tahan, serta pengujian kinerja dalam kondisi pengoperasian yang sebenarnya. Hasilnya menunjukkan bahwa penggunaan Material baru yang lebih murah, dikombinasikan dengan modifikasi pada desain koil, dapat menghasilkan pegas dengan kinerja yang setara dengan aslinya tetapi dengan biaya produksi yang lebih rendah. Penerapan desain baru ini diharapkan dapat menghasilkan penghematan biaya yang signifikan tanpa mengorbankan kualitas dan kinerja sistem filter oli. Temuan ini memberikan kontribusi penting bagi bidang teknik otomotif, khususnya dalam upaya meningkatkan efisiensi biaya produksi komponen mesin
Prediksi dan Validasi Porositas Kipas Aluminium Hasil Pengecoran Dengan Simulasi dan Eksperimen Berbasis Finite Difference Method
Porosity is a common defect in the aluminum casting process, particularly in thin-walled components such as compressor fans. This study aims to predict and validate porosity in cast aluminum fan components using a combined simulation and experimental approach. The simulation was conducted using the Finite Difference Method (FDM) with the aid of SOLIDCast and FLOWCast software to evaluate molten metal distribution, Niyama criterion, and solidification time. The experimental casting was carried out using silica sand molds and Aluminum A319 alloy, followed by metallographic analysis under an optical microscope. The results show a strong correlation between the simulation predictions and experimental findings, especially in the identification of microporosity, gas porosity, and localized shrinkage. This approach has proven effective in improving casting quality and can serve as a reference for optimizing gating system design
Rancang Bangun Jig & Fixture Pemesinan Computer Numerical Control (CNC) Milling Dengan Area Kerja 300x300mm
Limitations in machining accuracy and efficiency on CNC milling machines with a 300 × 300 mm working area are often caused by the use of general-purpose jig and fixture (J&F) designs that are not tailored to the characteristics of the machine and workpiece. This condition can lead to vibration, dimensional errors, and inefficient use of time and material. The research gap addressed in this study lies in the limited availability of systematic jig and fixture designs for CNC milling machines with restricted working areas. This research aims to design a jig and fixture compatible with a 300 × 300 mm CNC milling machine to improve clamping stability, machining accuracy, and process efficiency. The VDI 2222 design methodology is applied through four stages: planning, conceptualization, design, and completion, supported by Computer-Aided Design (CAD). Two design alternatives are evaluated, and the optimal concept is selected based on clamping stability criteria. The results are a final jig and fixture design and detailed engineering drawings ready for prototype fabrication, suitable for small-scale CNC milling machines
Analisis Kinerja Sistem Distribusi Energi Listrik dan Optimalisasi Beban Berbasis Pengukuran Lapangan
This study analyzes the performance of an electrical energy distribution system and load optimization in a low-voltage distribution network with dynamic load characteristics. Common problems in such systems include phase load imbalance, power losses, and power quality issues that may reduce operational efficiency. Previous studies have mainly focused on utility networks or conventional industrial installations, resulting in limited measurement-based evaluations at the institutional scale. This research aims to assess distribution system performance through direct field measurements, identify phase-current imbalance, evaluate power quality, and formulate load-optimization strategies. Measurements were conducted using a power quality analyzer under normal operating conditions for 30 minutes with a 1-minute recording interval. The results indicate that the distribution transformer operates at an average loading level of 47.4%, with a phase current imbalance of 14.89%, active power losses of 532.5 W, and an average power factor of 0.94. Overall, the findings show that improving load management and power quality plays a more significant role in enhancing system performance than increasing equipment capacity
Optimasi Friction Stir Spot Welding Dengan Stabilizer Interlayer Pasta Zink Pada Material Dissimilar Aa5052-Ss400
Joining aluminum and steel materials using Friction Stir Spot Welding (FSSW) still faces challenges, particularly regarding interlayer stability and the limitations of joint mechanical properties. Previous studies generally focused on FSSW without an interlayer or used an interlayer without an adequate stabilization mechanism, so the joint quality has not been optimal. Therefore, this study aims to investigate the effect of using a zinc (Zn) paste interlayer stabilizer on the mechanical properties of dissimilar Al 5052–SS400 joints. The experimental method was carried out by comparing FSSW joints without an interlayer and with a Zn interlayer stabilizer. Evaluation was conducted through shear tensile testing and hardness measurements. The research results show that the Zn interlayer stabilizer is able to significantly improve joint performance, with a maximum hardness value of 119 HV and the highest shear tensile strength of 4.8 kN at a dwell time of 12 seconds. These findings fill a research gap related to the role of interlayer stabilization in enhancing the quality of FSSW joints of dissimilar materials
Komparasi Paduan Ethanol dan Dietyl Ether (DEE) pada Gasoline Terhadap Performa Spark Ignition (SI) Engine
The limited availability of fossil fuels and the growing demand for energy have led to a global energy crisis. Ethanol and DEE can be used as alternative energy to replace fossil fuels. Ethanol and DEE have high RON and oxygen content, as well as low viscosity, which accelerates the flame, thereby increasing torque and SI engine power. DEE is still rarely used as a gasoline blend, but its chemical characteristics can improve engine combustion. This study aims to compare the use of gasoline-ethanol and gasoline-DEE blends on SI engine performance. The test results prove that the DEE15 blend produces the highest torque value of 4.37 N.m or an increase of 28% compared to pure gasoline. The E15 blend produces the highest SI engine torque value of 4.31 N.m or an increase of 26% compared to pure gasoline. In addition, SI engine power increases by 28% in DEE15 and 26% in E15 compared to pure gasoline. From these test results, the use of a gasoline-DEE blend can improve SI engine performance better than gasoline-ethanol
Peningkatan Kapasitas Produksi Bata Merah Melalui Penggunaan Mesin Cetak Bata Merah Model Extruder
This Community Service Program aims to enhance the production capacity of red bricks at UMKM Putra Mandiri, located in Mulyadadi Village, Cipari District, Cilacap Regency, through the implementation of a red brick extruder machine. The partner’s main issue was the manual production process, which limited production capacity and resulted in inconsistent brick quality. The program activities included field observations, partner discussions, training sessions, and mentoring on machine operation and maintenance. The results showed that using the extruder machine significantly increased production capacity from 100 pcs/hour to 750 pcs/hour, indicating a 750% improvement compared to manual methods. Furthermore, the produced bricks demonstrated better uniformity, density, and strength, while reducing production time and labor intensity. The adoption of this appropriate technology not only improved productivity and competitiveness but also strengthened the partner’s independence in business operations. The implication of this activity is that technological transfer through community service programs can provide sustainable impacts on local economic development by promoting innovation, efficiency, and self-reliance among small enterprises.
Rancang Bangun Aplikasi Market Place “bidibeng.com” Sebagai Peningkatan Pemasaran Digital
Improving digital marketing is an urgent need for Micro, Small, and Medium Enterprises (MSMEs) fostered by Bengkalis State Polytechnic. These MSMEs often face challenges in expanding their market reach and adopting modern technology for business. This community service focused on the design of a marketplace application that will be integrated with the Teaching Factory Digital Center. The methods used included analyzing the specific needs of the target MSMEs, designing the system architecture, implementing, and testing the application system together with the community service partners. The results of the activity showed that the bidibeng.com marketplace application can function well and is accepted by the target partners. A total of 25 MSMEs successfully onboarded into the system and more than 120 MSME products were successfully uploaded. This application aims to be a centralized platform that facilitates online product promotions and transactions, thereby directly improving digital marketing and the competitiveness of MSMEs. Furthermore, the implementation of this application demonstrates an improvement in the understanding and readiness of SMEs to utilize digital technology for marketing activities. In the future, the marketplace application integrated with the Teaching Factory Digital Center is expected to be further developed with more adaptive features to support the sustainability of SMEs’ digital transformation
Peningkatan Produktivitas Peternak Kambing Melalui Inovasi Pakan Fermentasi dan Manajemen Kesehatan Ternak pada KUB Berkah Lestari
Livestock management has a strategic role in Indonesia, especially in goat farming, which is widely developed by local communities. However, the livestock feed currently used is still not processed effectively because it mainly consists of fresh green grass and is highly dependent on seasonal conditions. This situation can affect animal growth and the quality of goat production. Therefore, innovation in feed processing and improvement of product quality management are urgently needed. The purpose of this community service program is to implement fermented feed innovation and provide training on livestock health management for farmer groups. The implementation method includes counseling, training, demonstration of fermented feed production, training on sanitation and animal health management, and monitoring for six weeks. The program results show an increase in livestock weight by 19.1%, a reduction in feed costs by 24.1%, an improvement in feed conversion efficiency (FCR) by 21%, and an increase in farmers’ income by 29.2%. This program has proven to be effective in improving livestock productivity and supporting the sustainable welfare of farmers
Implementation of CNN Algorithm for Baby Blues Detectionin Postpartum Mothers Through Facial Image Analysis
The use of computer technology in the healthcare sector is growing, especially in supporting recommendation systems and early detection of various health conditions. Artificial intelligence, particularly deep learning, has made significant contributions in analysing complex data such as medical imaging. One of the leading deep learning methods is Convolutional Neural Network (CNN), which is able to extract visual features hierarchically and accurately. Baby blues is a psychological disorder often experienced by mothers after childbirth and can have a serious impact on the mother\u27s mental health and relationship with the baby. Early detection of baby blues is crucial to provide appropriate interventions and prevent worse outcomes. This research aims to implement CNN algorithm to detect baby blues through facial image analysis. Using a dataset of postpartum mothers, a CNN model was developed to recognise visual patterns related to baby blues symptoms. The results showed that the CNN model was able to identify baby blues conditions with an accuracy of 53% on the dataset used. This research proves the effectiveness of CNN in detecting visual patterns related to babyblues disorder, and is expected to be a solution in supporting early diagnosis and appropriate treatment for postpartum mothers