Portal Jurnal Politeknik Negeri Semarang
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ANALISIS KINERJA MESIN LASER CUTTING TRULASER 1030 PADA PRODUKSI KENDARAAN KHUSUS MENGGUNAKAN METODE OVERALL EQUIPMENT EFFECTIVENESS (OEE)
Full text linkThe manufacturing industry is continuously challenged to improve production efficiency and quality. Production machinery plays a crucial role in supporting smooth manufacturing processes, especially in the fabrication of special vehicle components. One such machine is the TruLaser 1030, a 2D laser cutting machine manufactured by TRUMPF, which is used for processing body and accessory parts in special vehicles. This study aims to evaluate the performance of the TruLaser 1030 machine using the Overall Equipment Effectiveness (OEE) method, as well as to identify damaged machine components and maintenance requirements. The Total Productive Maintenance (TPM) approach is applied to enhance equipment effectiveness, prevent breakdowns, and ensure product quality and workplace safety. The OEE methodology involves three main parameters: Availability, Performance Rate, and Quality Rate. The results show the machine’s availability at 94%, performance rate at %, and quality rate at 97.1%. These findings suggest that the TruLaser 1030 machine operates at a relatively optimal level; however, regular evaluations of work systems and maintenance programs are necessary to maintain stable performance and continuously improve productivity
TEKNIK PEMERIKSAAN KEANDALAN STRUKTUR RANGKA ATAP BAJA: TEKNIK PEMERIKSAAN KEANDALAN STRUKTUR RANGKA ATAP BAJA
No full textDamage to the roof frame construction can have an impact on other components, for example if the roof frame sags resulting in the roof covering becoming loose resulting in a leak, the leak can impact the ceiling, causing moldy damage to the worst case, collapsing. So it is necessary to ensure that the roof frame construction is always in a reliable condition, so that it does not endanger the building occupants. The method used in this research is a case study method, a model of the damaged steel roof frame construction will be made, Then a visual inspection will be carried out until further inspection. Based on the results of a visual inspection of the truss frame construction, it was found that there was a deflection in the lower frame of 4mm, there was rust which reduced the thickness of the elbow profile by 0.51mm, and the loss of some of the bolt connections was 20bh. The results of the inspection were then carried out with a strength analysis, it was found that based on the deflection results it was still below 9.33 mm, it was still safe, based on rust damage, a strength reduction of 13.31% was obtained, while based on the loss of some of the bolted connections, a strength reduction of 23.81% was obtained. Then a direct loading test was carried out on the construction of the truss frame after it had been conditioned to experience damage, capable of withstanding a maximum point load of 249 kg, where the test results experienced a decrease in strength from the plan and were still greater than the inspection results. So it can be concluded that the method for checking the construction condition of steel truss frames for deflection, rust conditions and joints can be used as a guide because the results are close to the actual conditions. The intensity of damage that occurred in the truss frame construction was categorized as light damage, because the decrease in strength that occurred was 23.81% smaller than 35%
Analysis of Factors Improving Green Process Innovation Performance in Batik Lasem SME”™s
Full text linkBusiness continuity is an interesting phenomenon to study. Because businesses have very intense competition. Innovation is needed in order to continue to exist and develop, the application of strategies that have an impact on the environment is highly expected by consumers today with the rampant health issues that haunt society. The purpose of this study is to build Green Process Innovation Performance from Green Supply Chain Management based on Green Intellectual Capital which is described by Green Human Capital, Green Organizational Capital, Green Relational Capital. The population of this study were the actors of Batik Tulis Lasem SMEs in Rembang Regency. While the sampling technique used in this study is the Census Method. For the number of research samples is 100 samples from the total population of respondents. This research technique uses two approaches: 1). Confirmatory factor analysis, in Structural Equation Modeling (SEM); and 2). Regression Weight on Structural Equation Modeling (SEM). The model output in this study can provide a positive contribution for Batik Tulis Lasem business actors in an effort to be able to realize the continuity and sustainability of their business in environmental aspects, both in the form of managerial implication suggestions and the formulation of scientific articles and measurement instruments. Managerial advice is aimed at the local government in formulating program policies to maintain the existence of entrepreneur
Marketing Analysis of Local Food Saparua Brown Sugar in Ambon City
Full text linkIndonesia stretches from the western tip to the eastern tip, from Sabang to Merauke, and has various potential resources that can be economically developed by the business world and society in the form of manufacturing businesses, home industries, and economic empowerment as an effort to drive the wheels of the nation's economy. The forms of community empowerment efforts vary according to potential. One of the many efforts is the production of brown sugar. The brown sugar business in Saparua, Tuhaha Village, Saparua Timur District, Central Maluku Regency, Maluku Province is mostly carried out by brown sugar farmers as a home industry with limited equipment, simple processing management and marketing systems. The purpose of this study is to determine how the design of the strategy and marketing tactics of Saparua palm sugar products in Tuhaha Village, Central Maluku Regency by identifying internal and external conditions. This study is different from previous studies where in this study an STP strategy analysis (segmentation, targeting and positioning) was carried out by looking at the existing conditions of Saparua palm sugar marketing to formulate the direction of the strategy policy and marketing tactics of Saparua brown suga
Digital Flood Control Model as a Digital Practical Learning Module
Full text linkAbstract”” Teaching aids are one of the learning media that can be used in the learning process in the classroom or laboratory. The purpose of this media is to facilitate the understanding of the material being studied. In laboratory learning, in addition to practical modules, the development of teaching aids is needed as a case study for solving problems in the field. The teaching aid being researched is a learning module as the development of digital engineering practicals in the laboratory, specifically a digital flood control module. The module designed and created aims to teach how a flood control process can be created using digital circuits, thereby providing insights and understanding to students about the control process. The controller module reads the water level sensors set at high and low levels. When the water touches the high-level water sensor, the control output activates the relay to turn on the pump, so the water in a specific location is pumped elsewhere. When the control system reads the low-level sensor, the output deactivates the relay and the pump stops working. The water level sensor is set at a distance of 10 cm between the lower and upper limits. The volume of water pumped is 0.006 m3 or 6 liters in 30 seconds using a 12v DC water pump with a power of 25 watts.
IMPLEMENTASI MACHINE LEARNING UNTUK SISTEM IRIGASI CERDAS
Full text linkAbstrak
Penggunaan air yang tidak efisien dalam pertanian seringkali menjadi salah satu penyebab utama menurunnya produktivitas lahan. Di era pertanian modern, implementasi Machine Learning (ML) dapat menjadi solusi untuk memantau kondisi tanah dan menentukan kebutuhan irigasi secara otomatis. Penelitian ini mengembangkan sistem berbasis sensor tanah dengan parameter kelembaban, suhu, cahaya, dan curah hujan yang diproses menggunakan algoritma Random Forest. Data dikembangkan melalui simulasi sebanyak 10.000 sampel tanpa penambahan noise untuk menjaga representasi kondisi nyata. Model Random Forest dibandingkan dengan Decision Tree, SVM, dan Neural Network. Hasil pengujian menunjukkan bahwa Random Forest memberikan performa terbaik dengan akurasi di atas 96,4%. Selain itu dilakukan juga perbandingan penggunaan antara baseline data dengan jumlah data tiap kelas yang berbeda jauh dengan metode penyeimbang data Synthetic Minority Oversampling Technique (SMOTE). Hasil pengujian menunjukkan meskipun penggunaan metode SMOTE menurunkan akurasi secara umum, tetapi dapat meningkatkan Recall yang menunjukkan bahwa model lebih sensitif pada data minoritas.
Kata kunci: irigasi, machine learning, random forest
Abstract
Inefficient water use in agriculture is often a major cause of declining land productivity. In the modern agricultural era, the implementation of Machine Learning (ML) can be a solution for monitoring soil conditions and automatically determining irrigation needs. This study developed a soil sensor-based system with parameters of humidity, temperature, light, and rainfall processed using the Random Forest algorithm. Data was developed through simulations of 10,000 samples without the addition of noise to maintain the representation of real conditions. The Random Forest model was compared with Decision Tree, SVM, and Neural Network. The test results showed that Random Forest provided the best performance with an accuracy above 96.4%. Furthermore, a comparison was conducted between the use of baseline data with a significantly different number of data per class using the Synthetic Minority Oversampling Technique (SMOTE) data balancing method. The test results showed that although the use of the SMOTE method decreased accuracy in general, it could increase Recall, making the model more sensitive to minority data.
Keywords: irigation, machine learning, random fores
Clustering-Based Analysis of Fuel Efficiency and Emissions in Automotive Data Using PCA and K-Means
Full text linkGrowing concerns regarding greenhouse gas emissions and fuel consumption have placed considerable demands on the automotive sector. To address these issues, this research applies unsupervised learning approaches namely Principal Component Analysis (PCA) and K-Means Clustering to categorize vehicles based on attributes associated with energy efficiency and environmental impact. Using a publicly available vehicle dataset, PCA was used to simplify the data by reducing dimensionality while preserving significant patterns. Subsequently, K-Means was employed to segment the data into three distinct clusters according to shared features like engine size, fuel usage, and CO₂ output. The resulting groupings effectively identified categories such as fuel-efficient, moderately consuming, and high-consumption vehicles. Visual representation in two-dimensional space further confirmed meaningful distinctions among the clusters, offering practical insights for both manufacturers and consumers
STUDI KERETAKAN GEDUNG DAN AKSES JALAN KAMPUS POLITEKNIK PEKERJAAN UMUM DI KOTA SEMARANG
Full text linkThe MBH Campus, Public Works Polytechnic (PUtech) located in Semarang City began construction in 2021 - 2022 and functional in early 2023. Six months after its first operation, much damage was found to the building and access roads where there were many cracks in the walls with the same pattern and widening and collapsing in several parts of the garden and access roads that widened over time. A study was conducted to identify the cause of the damage that occurred. The study began by identifying the level of damage to the PUtech campus building and making assumptions regarding the cause of the damage. A more detailed investigation was carried out to strengthen the possibility of suspicions. The analysis was carried out based on the results of field measurements, non-destructive material tests, and soil characteristic tests on the building. The study's results showed a tendency for the building to subside to the north by 0-4 cm per year. The subsidence did not indicate conditions that were dangerous to the building structure because it occurred evenly. The base soil is in the form of cohesive inorganic clay with moderate plasticity so there is a high potential for soil expansion. The soft base soil, classified as soft soil, has the potential for consolidation up to 40 cm due to the existing building load
ANALISIS PERILAKU BETON RAMAH LINGKUNGAN DENGAN SERBUK LIMBAH KARET BAN BEKAS DALAM PERSPEKTIF FORENSIC ENGINEERING
Full text linkConcrete with waste tire rubber powder is one of the approaches to utilizing rubber waste, which continues to increase in volume over time. This study aims to investigate in detail the effects of using waste tire rubber powder on the mechanical properties of concrete through experimental methods, with a focus on compressive strength and elastic modulus. The comparison results of compressive strength and elastic modulus are then analyzed using a forensic engineering approach to determine their impact on potential structural failures and their influence on the service life of the structure. The results of this study show that the use of rubber powder in the range of 2.5% to 10% as a fine aggregate substitute in concrete mixtures can reduce compressive strength and elastic modulus by approximately 16% to 28% for compressive strength, and 5% to 11% for elastic modulus. In terms of structural service life, the use of rubberized concrete can reduce the service life by approximately 22% to 27%. Rubberized concrete offers great potential in rubber waste utilization and in enhancing the sustainability of construction materials. However, from a forensic engineering perspective, rubberized concrete presents new challenges in understanding, evaluating, and predicting the long-term performance of structures