INVOTEK: Jurnal Inovasi, Vokasional, dan Teknologi
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Analysis of student’s learning outcomes test questions Department of Automotive Engineering FT UNP
Full text linkThis study is a follow-up to the results of previous studies, which stated that e-learning media did not have a significant effect on improving learning outcomes. One way of measuring learning outcomes is by presenting test questions on E-Learning media. So that a good test item will be able to provide a good measurement of learning outcomes. This research is included in quantitative descriptive research. The research aims to see the level of validity, reliability, difficulty index and Different power test questions for students of the Department of Automotive Engineering, FT UNP. The research method presenting test items in the form of multiple choice. Then proceed with quantitative analysis of the test items. The results of the analysis will provide an overview of the criteria for valid items of 84% and the reliability index of the questions in the criteria of 0.899. The results of the test difficulty index analysis, that 80% of the test questions are included in the category of good test items. As many as 20% of the test questions including the category are too easy. The results of the analysis of the different power of the test items are 28% including the bad classification. Classification test questions are sufficient at 40%. Classification of different test items is good at 32%. The category of good test items is a category of test items with sufficient and good classification
Analysis of Hardness on the Tapping Knife of Rubber Plants Made of Medium Carbon Steel Resulting from Quenching Process with Different Cooling Mediums
Full text linkThe quenching process carried out by the Blacksmith was still simple and used regular water cooling. This results in the knife not having a good value of hardness. This study aimed to analyze the effects of quenching with different cooling media on the hardness of the JIS SUP 9 knife from Blacksmith. The research method used an experimental method with research objects made of carbon steel per leaf or the JIS SUP 9 which was given hardening with a temperature of 800 ° C with a holding time of 30 minutes then quenching with water cooling media and oil. The data analysis found that the knife quenching with water had an average hardness of 295.6 HVN, Oil had an average hardness of 720.7 HVN, and control specimens with a hardness of 256.6 HVN. Thus, the medium quenching oil has the highest value of hardness, while the oil quenching media also has a good hardness value with no acceleration of the process of expansion. From the results of the study, the authors recommend in the quenching process use of oil cooling media, as well as adding variations of cooling media to get a better hardness value
Numerical prediction of rotary-kiln foundation temperature at an early age
Full text linkThe hydration heat confined to the core of the mass concrete during the hydration reaction causes a temperature rise and irregular temperature distribution in the concrete. High temperatures in concrete cause Delay Ettringite Formation (DEF) that cause damage several years after pouring, especially if the concrete is in an acidic environment. The uneven temperature distribution causes thermal stresses that can initiate cracks in the concrete surface. This article discusses a prediction of temperature distribution inside a mass concrete used as a rotary kiln foundation. We measure the heat of hydration of the concrete sample using an adiabatic calorie meter and derive the heat of hydration equation from the measurement data. The hydration heat was used in numerical calculations to obtain the temperature distribution, maximal temperature and temperature differential. The numerical calculation shows that the maximum foundation temperature was 64.01 0C. This temperature is still below the limit temperature for the occurrence of Delayed Ettringite Formation (DEF). The core region has the highest temperature, while the surfaces have the lowest temperature. The difference between the highest and lowest temperatures is 37.40 0C. However, the temperature differential exceeds the safe limit, 20 0C, so heat treatment to prevent cracking needs to be done
Application of the Teaching Factory Model to the Learning Outcomes of Class XI Students in the Heavy Equipment Engineering Department
Full text linkThe dream of a 'link and match' between schools and industry to become a reality is a big target to be achieved by the government. For that we need the support of superior human resources (HR) so that development can run well. One of the concepts of the learning approach carried out by the Ministry of Education and Culture is for schools to produce superior human resources in accordance with the needs of the industrial world through the teaching factory (TEFA) program. Recent research has demonstrated an urgent need for future engineers. This research is a continuous experimental study for 2 semesters by applying it to all samples, to see if there is a significant effect on TEFA. Research that uses the Ex-Post Facto approach. The population in this study were students of the Heavy Equipment Engineering Department at SMK Negeri 1 Guguak. The sample is class XI students of the Heavy Equipment Engineering Department who have obtained the Teaching Factory Learning Model as many as 32 people who were selected using a non-probability technique, namely Purposive Sampling. The data analysis technique used is descriptive analysis. The result of t-test is smaller than t-table (-0.381 < 1.697). This shows that the negative effect of the application of (TEFA) on the Learning Outcomes of Class XI Students in Powertrain and Undercarriage subjects is not only insignificant or very small, it can even be said to have no effect
Information Technology Development in Alumni Search: Validity Analysis
Full text linkAlumni data collection activities as material for recapitulating the data needed as the completeness of accreditation documents and performance evaluation documents for tertiary institutions. This will not be achieved if the data collection is still using manual methods such as contacting the graduates one by one. This activity will take up time and the data that has been collected so far is not optimal. The purpose of conducting this research is to develop information technology in tracing graduates using the Google form at the product validity testing stage. This research is development research using 4D models. The validation test was carried out at the development stage, for this reason, the research was limited to the product development phase only. The instrument used for the validation test is in the form of a validity questionnaire for the product being developed. Questionnaires will be distributed and then the product will be validated based on the statements that have been prepared beforehand. The validators who validate the product are 4 expert lecturers. The assessment is carried out based on material aspects and media aspects. The results of product research developed with an information technology approach are in the valid category. Not until this stage, the product that has been declared valid, then revised again based on suggestions by experts. It is hoped that after obtaining validation data for the product, the next step is to carry out practicality tests and effectiveness tests so that the product can be disseminated and can be used in education, especially in the graduate study tracer at the Department of Automotive Engineering FT-UN
Development of Jogja Tourism App using GPS-Based Tracking Augmented Reality
Full text linkThe number of tourists every year continues to increase, but the pandemic resulted in tourists experiencing a decrease, and activity also prioritized social distancing. With the reduction of tourists and human interaction, media are needed to help tourists still visit Jogja by minimizing interaction. The method used to build applications in Research and Development. The first stage is the need analysis and literature study. The second stage is a design that uses use-case diagram. The third stage is implementing or developing applications and quality assurance testing. The fourth stage is the stage of testing software for users and knowing the feasibility of the application. The results showed that the results of the application work were excellent, with a percentage of 85.11%, which means the application is suitable for the Jogja Tourism App
A Finite Element Analysis of Structural Strength of Ferry Ro-Ro’s Car Deck
Full text linkFerry Ro-Ro is a type of ship used to carry passengers and vehicles. This ship has several decks such as navigation decks, passenger decks, and car decks. The car deck is subject to a heavy load as it should accommodate vehicle loads. This study aims to conduct a finite element analysis to determine the stress and deformation experienced on the car deck of the Ferry Ro-Ro and determine the safety factor based on BKI (Indonesian Classification Bureau). The method used in this study is the Finite Element Method (FEM) which has been applied in the finite element based-applications namely Ansys Workhbench. The simulations are carried out using the software by varying the thickness of the car deck’s plate, the plate is subjected to pressure loads which are car loads accommodated by the car deck. Moreover, the fixed support is applied in the deck during the simulation. Based on the simulation results of variations of 90, 100, and 110% plate thickness. It is obtained that the smallest plate experienced maximum stress and the obtained safety factor of all plate thickness variations was satisfied the BKI Standard.Ferry Ro-Ro adalah jenis kapal yang digunakan untuk membawa penumpang dan kendaraan . Kapal ini memiliki beberapa geladak seperti geladak navigasi , geladak penumpang dan geladak kendaraan. Geladak kendaraan mengalami beban yang besar karena harus menampung beban kendaraan. Penelitian ini bertujuan untuk melalukan analisis alemen hingga untuk mengetahui tegangan dan deformasi yang terjadi pada geladak kendaraan kapal Ferry Ro-Ro dan mengetahui safety factor berdasarkan BKI. Metode yang digunakan pada penelitian ini yaitu metode elemen hingga telah diterapkan pada aplikasi berbasis elemen hingga. Simulasi dilakukan dengan menggunakan software tersebut dengan memvariasikan ketebalan plat kapal. Berdasarkan hasil simulasi variasi dari 90, 100, dan 110% ketebalan pelat diperoleh hasil bahwa plat paling kecil mengalami tegangan maksimum dan safety factor yang diperoleh dari semua variasi pelat memenuhi standar BKI
Student learning style in vocational higher education
Full text linkWhen student learning styles are known, teaching can be designed according to student interests through teaching strategies, teaching methods and techniques, and selecting and applying the necessary teaching tools. This research aims to describe vocational students' learning styles using Forster learning styles and investigate the relationship between these learning styles and mathematics learning achievement. Researchers analyzed vocational students' mathematics learning styles using the "How Do I Learn?" developed by Forster. By using a screening model and quantitative research methods, data collected. The collected data from the instrument containing questions related to the student's mathematics learning style are then processed using SPSS, analyzed using descriptive statistics and one-way analysis of variance (ANOVA). Descriptive statistics were applied to view participant demographics and an overview of each learning style score, while one-way analysis of variance (ANOVA) was conducted to assess differences in mathematics learning styles among students based on mathematics scores. The results showed no relationship found between reflective, curious, diligent, and user learning styles using the questionnaire developed by Foster and the students' mathematics scores.When student learning styles are known, teaching can be designed according to student interests through teaching strategies, teaching methods and techniques, and selecting and applying the necessary teaching tools. This research aims to describe vocational students' learning styles using Forster learning styles and investigate the relationship between these learning styles and mathematics learning achievement. Researchers analyzed vocational students' mathematics learning styles using the "How Do I Learn?" developed by Forster. By using a screening model and quantitative research methods, data collected. The collected data from the instrument containing questions related to the student's mathematics learning style are then processed using SPSS, analyzed using descriptive statistics and one-way analysis of variance (ANOVA). Descriptive statistics were applied to view participant demographics and an overview of each learning style score, while one-way analysis of variance (ANOVA) was conducted to assess differences in mathematics learning styles among students based on mathematics scores. The results showed no relationship found between reflective, curious, diligent, and user learning styles using the questionnaire developed by Foster and the students' mathematics scores
Effect of cutting speed on milling process on surface roughness of ST-37 steel material workpiece
Full text linkThe importance of the surface roughness value of a workpiece must be of concern to students and machine operators because the surface roughness of the workpiece becomes a benchmark for the use of a component in the machining plane and one of the significant influences on the surface roughness of the workpiece is the cutting speed parameter. To examine the extent of the effect of cutting speed on surface roughness, testing and analysis of the machining process results were carried out by varying three cutting speeds according to the material range and the type of cutting tool used. This study uses an experimental method, with the research object using steel ST-37 by making cuts on the surface. Test result data obtained that the average roughness price per rotation speed is (Ras) = 4.01μm for Cs 20 with a rotation speed of 530.78 Rpm. (∑Ras) = 2.84μm for cs 25 with a rotation speed of 663.48Rpm. (∑Ras) = 2.59 μm for cs 30 with a rotation speed of 796.18Rpm. With the roughness grade on the N8. So the conclusion in this study is that the higher the engine rotation speed, which is influenced by high cutting speed, the lower the surface roughness of the resulting workpiece.The importance of the surface roughness value of a workpiece must be of concern to students and machine operators because the surface roughness of the workpiece becomes a benchmark for the use of a component in the machining plane and one of the significant influences on the surface roughness of the workpiece is the cutting speed parameter. To examine the extent of the effect of cutting speed on surface roughness, testing and analysis of the machining process results were carried out by varying three cutting speeds according to the material range and the type of cutting tool used. This study uses an experimental method, with the research object using steel ST-37 by making cuts on the surface. Test result data obtained that the average roughness price per rotation speed is (Ras) = 4.01μm for Cs 20 with a rotation speed of 530.78 Rpm. (∑Ras) = 2.84μm for cs 25 with a rotation speed of 663.48Rpm. (∑Ras) = 2.59 μm for cs 30 with a rotation speed of 796.18Rpm. With the roughness grade on the N8. So the conclusion in this study is that the higher the engine rotation speed, which is influenced by high cutting speed, the lower the surface roughness of the resulting workpiece
Tensile strength of welded joints in low carbon steel using metal inert gas (MIG) welding
Full text linkThe development of technology that has penetrated the industrial sector is very rapid. Many industrial fields apply the use of MIG (Metal Inert Gas) welding for various jobs in steel construction, especially mild carbon steel. MIG welding has good welding results and fast welding time efficiency. The purpose of this study is to analyze the tensile strength of welded joints on low carbon steel using MIG welding. The experimental method used in this study is to perform MIG welding on low-carbon steel plate profiles. The welded carbon steel is used as a test specimen and is formed according to the ASTM E8-M standard. Tensile testing is performed using a Shimadzu UH-300 kN type tensile testing machine. From this study, the tensile strength value of the test specimen welded by MIG (Metal Inert Gas) welding is higher than the tensile strength of the parent metal (low carbon steel), so this shows the strength of the weld joint. The average value of tensile strength on the test specimen is (σ) 507.40 N/mm2 and average strain (ɛ) 3.63%. The MIG welding process, between the base metal and filler metal with different chemical compositions, can cause mixing and a dilution effect of two compositions