10 research outputs found
Pengaruh Model Pembelajaran Numbered Heads Together dan Adversity Quotient terhadap Prestasi Belajar Mata Pelajaran Mesin Konversi Energi pada Siswa Kelas XI di SMK Negeri 11 Malang
No full textABSTRAK Humami, Faris. 2014. Pengaruh Model Pembelajaran Numbered Heads Together dan Adversity Quotient terhadap Prestasi Belajar Mata Pelajaran Mesin Konversi Energi pada Siswa Kelas XI di SMK Negeri 11 Malang. Skripsi, Jurusan Teknik Mesin, Fakultas Teknik, Universitas Negeri Malang.Pembimbing: (I) Prof. Dr. H. Amat Mukhadis, M.Pd. (II) Drs. H. Sumarli, M.Pd., M.T. Kata kunci: Model Pembelajaran, Adversity Quotient, Prestasi Belajar, dan Mesin Konversi Energi. Pada dasarnya, pembelajaran di SMK ditujukan dan diorientasikanpada dunia kerja. Sehingga, model pembelajaran yang digunakan harus relevan dan dapat merepresentasikan tuntutan kerja pada dunia usaha atau industri. Namun, pada kenyataannya model pembelajaran yang sering digunakan sekarang ini masih belum berorientasi pada dunia kerja. Untuk itu, perlu diterapkan model pembelajaran yang mampu memenuhi tuntutan tersebut. Pada penelitian ini mencoba untuk menerapkan model Pembelajaran Numbered Heads Together dan pengaruhnya terhadap prestasi belajar siswa SMK. Penelitian ini bertujuan untuk menguji signifikansi perbedaan prestasi belajar antara siswa yang dikenakanmodel pembelajaranNumbered Heads Together dan siswa yang dikenakan pembelajaran Konvensionaldengan mempertimbangkan Adversity Quotientsiswa, serta interaksinya. Penelitian ini dilaksanakan di SMK Negeri 11malang dengan jumlah sampel 60 siswa yang terdiri dari dua kelompok, yaitu kelompok kontrol dankelompok eksperimen.Rancangan penelitian yang dipergunakan adalah jenis eksperimen semudengan metode Non-equivalentControl Group Designdan sebagai desain analisisnya adalah analisis varians dua jalur (ANOVA) untuk mengetahui signifikansi perbedaan prestasi belajar berdasarkan model pembelajaran dan Adversity Quotient. Taraf signifikansi yang digunakan sebesar 0,05, dan dapat dikatakan terdapat perbedaan prestasi belajar yang siginifikanjika probabilitasnya di bawah 0,05. Hasil penelitian menunjukkan bahwa: (1) Terdapat perbedaan prestasi belajar yang signifikan antara siswa yang dikenakan model pembelajaran Numbered Heads Together dan pembelajaran Konvensional pada mata pelajaran Mesin Konversi Energi dengan nilai signifikansi 0,013 (P 0,05)
PENGARUH MODEL PEMBELAJARAN NUMBERED HEADS TOGETHER (NHT) DAN ADVERSITY QUOTIENT TERHADAP PRESTASI BELAJAR MATA PELAJARAN MESIN KONVERSI ENERGI
No full textThe Effect of Numbered Heads Together (NHT) Learning Model and Adversity Quotients on Learning Achievement in Energy Convertion Machine Lessons. The purpose this research was to examine the significant difference on learning achievement between students who learnt using NHT learning model and conventional learning model that considered students’ adversity quotient along with its interaction. This study used a quasi experimental research design with non-equivalent control group design methodand were analyzed using two way ANOVA. The results of this study: (1) there was significant difference on learning achievement between students that were treated using NHT learning model and conventional learning model and the significant value was 0.01; (2) there was significant difference on learning achievement between high adversity quotient and low adversity quotient students and the significant value was 0.02; and (3) there was no significant interaction between learning model and adversity quotient and the significant value was 0.31.
Penelitian ini bertujuan untuk menguji signifikansi perbedaan prestasi belajar antara siswa yang belajar menggunakan model pembelajaran NHT dan yang menggunakan pembelajaran konvensional dengan mempertimbangkan adversity quotient siswa, serta interaksinya. Rancangan penelitian adalah eksperimen semu dengan metode non-equivalent control group design dan dianalisis dengan analisis varians dua jalur. Hasil penelitian: (1) terdapat perbedaan prestasi belajar yang signifikan antara siswa yang dikenai model pembelajaran NHT dan konvensional dengan nilai signifikansi 0,01; (2) terdapat perbedaan prestasi belajar yang signifikan antara siswa yang memiliki adversity quotient tinggi dan rendah dengan nilai signifikansi 0,02; dan (3) tidak terdapat interaksi yang signifikan antara model pembelajaran dan adversity quotient terhadap prestasi belajar dengan nilai signifikansi 0,31
Alat Pendeteksi Tekanan Udara Pada Ban Kendaraan Medium Duty Truck Untuk Kesesuaiian Completely Vehicle Inspection Standard (CVIS)
No full textPemeriksaan tekanan udara ban merupakan bagian penting dalam inspeksi di PT Hino Motors Manufacturing Indonesia yang berdasar Completely Vehicle Inspection Standard (CVIS), dengan tekanan rekomendasi untuk truk berkisar antara 71,1-85,6 Psi. Untuk setiap kendaraan hasil produksi diperiksa oleh Quality Control Vehicle (QCV) melalui check visual dan hammering, sedangkan check unit sampel oleh Shipping Quality Audit (SQA) menggunakan pressure gauge yang hasilnya ditulis tangan manual. Agar proses pemeriksaan lebih mudah serta tekanan ban dipastikan sesuai ketentuan, maka dilakukan penelitian mengenai pengembangan alat pendeteksi tekanan untuk Medium Duty Truck yang memiliki ban berjumlah sepuluh. Penelitian ini menggunakan metode Research and Development (RD) untuk menciptakan dan mengembangkan alat tersebut. Alat ini memanfaatkan sensor pressure transmitter yang datanya diproses oleh Arduino Nano. Output dari alat berupa LCD, LED dan buzzer, serta printer thermal untuk mencetak hasilnya. Pengujian alat diaplikasikan pada kendaraan Mediun Duty Truck dengan respon deteksi sensor 2-3 detik dan memastikan setiap output aktif dan berfungsi. Untuk memastikan tingkat keakuratan, dilakukan kalibrasi dengan 30 parameter tekanan yaitu sebesar 99,11% dan nilai error sebesar 0,89%.
Pengembangan pemodelan fisika dalam meningkatkan motivasi belajar taruna di lingkungan sekolah kementerian perhubungan berbantuan software Modellus
No full textRoute Warning System for Monitoring and Accident Prevention in Road Transport
No full textAccidents in special vehicles transporting B3 are accidents with a higher risk compared to accidents in ordinary vehicles. Based on the news of accidents involving fuel tankers in Candisari Semarang and Karangpucung Cilacap, the accidents that occurred were caused by drivers who were not ready to face changes in the type of road contour. Therefore, additional features are needed on tank cars that can provide delivery route mapping and provide notifications (risk journey) when passing through accident-prone areas. By applying the fuzzy c-means method, route safety identification can be carried out through data grouping based on traffic condition factors as well as accident data. The results of this study are in the form of a route warning application that can detect accident-prone points and provide notifications at a distance of 600 meters before the vulnerable point. This application provides notifications at 20 points on the delivery route to PT Anugerah Makmur Sejahtera. This application can be monitored by the company using web monitoring that is integrated with the route warning application in real time. After going through three tests, this application is feasible to use for adding safety features to tank cars
Designing a Multi-Modal Vehicle Data Capture System for Forensic Accident Analysis
No full textTraffic accidents and road incidents are major concerns for governments, transportation safety agencies, and the public. Statistics indicate an increase in the number of accidents in Indonesia over the past few years. The primary contributing factors to these accidents include human, vehicle, and environmental elements. However, collecting evidence or data often poses challenges, particularly regarding driver statements and witness accounts. To address these issues, this study develops a data recording system for motor vehicles. The system records data such as speed, location, time of occurrence, vehicle tilt, as well as audio and video inside the cabin, using a Raspberry Pi 4 Model B and ESP32 as the main controllers. Testing was conducted on a car with simulations on provincial roads and highways to evaluate the performance of each sensor. The test results showed good performance, with the MPU6050 sensor error rate ranging from 0.028% to 0.123%, the Beitian Be-220 GPS sensor error rate at 2%, and latitude-longitude coordinates with an error margin of 0.000661% to 0.001403%. This system is expected to support traffic investigations and assist regulatory authorities by providing more accurate evidence, while also increasing awareness of road safety
PENGARUH KADAR AIR DI DALAM BRAKE FLUID TERHADAP KARAKTERISTIK GELEMBUNG PADA PROSES PEMANASAN BRAKE FLUID
No full textThe present study aimed to determine the effect of the percentage of water in brake fluid on the boiling point and the characteristics of bubble formation (the beginning of vapor lock) during the brake fluid heating process. DOT 3 Brake Fluid and water were used as the working fluid in the present study. To vary the water content in the brake fluid, water was mixed into the DOT 3 Brake Fluid. The water percentages in the mixture were 0, 1, 3, and 4%. The boiling point of brake fluid with four variations in the water content percentage was measured by using a digital thermometer. The characteristics of bubble formation in brake fluid were observed using a video camera with a frame rate of 240 fps. The video recording results were extracted into an image file with a jpeg extension and processed further using image processing with ImageJ software to measure the total cross-sectional area and bubble fraction. This is the novelty of the present study, where measurements of the total cross-sectional area and bubble fraction in boiling brake fluid with variations in water content have never been carried out by researchers before. Apart from that, the ImageJ measurement method has advantages compared to other software. ImageJ is free software that is easy to download from the internet, easy to use, accurate and the measurement results are displayed immediately. The research results show that an increase in the percentage of the water content in brake fluid affects reducing the boiling point of the brake fluid. At the same temperature, the greater the percentage of water content in the brake fluid, the total cross-sectional area and bubble fraction also increase. At the same percentage of water content, the total cross-sectional area and bubble fraction also increase as the temperature increases. Apart from that, in this research, an empirical equation was successfully developed to predict the brake fluid's boiling point based on its water content, and an empirical equation to predict the bubble fraction based on the water content and temperature of the brake fluid. This is a novel result of this research that has never been produced in previous research
Experimental study on the characteristics of flow pattern transitions of air-water two-phase flow in a horizontal pipe
No full textPeningkatan Kompetensi Keselamatan Berlalu Lintas di SMK Bhakti Praja Adiwerna
No full textTujuan dari kegiatan pengabdian kepada masyarakat ini adalah untuk memberikan siswa SMK Bhakti Paraja Adiwerna materi keselamatan lalu lintas dan marka rambu lalu lintas. Pada saat ini banyak anak usia sekolah kurang mengetahui aturan lalu lintas. Menurut Lembaga Keselamatan Jalan Dunia banyak terjadi kecelakaan setiap jam yang dialami anak usia sekolah. Berdasarkan hal tersebut tujuan diadakan pengabdian tersebut agar siswa SMK bisa lebih memahami rambu dan aturan lalu lintas sehingga bias terhindar dari kecelakaan. Metode pelaksanaan dilakukan dalam empat tahap. Koordinasi adalah tahap pertama, pre-test adalah tahap kedua, materi dan diskusi adalah tahap ketiga, dan evaluasi adalah tahap keempat setelah evaluasi. Dari hasil evaluasi diketahui bahwa diperoleh hasil nilai rata-rata 88 dari 30 siswa peserta sosialisasi dengan nilai 100 tertinggi dan 70 terendah. Tanggapan dari peserta sosialisasi adalah setelah mengikuti sosialisasi mereka jadi mengetahui aturan dasar dalam berkendara sesuai dengan undang-undang lalu lintas nomor 22 tahun 2009. Selama kegiatan, peserta tetap semangat dan mendengarkan apa yang disampaikan oleh tim pengabdian
Driver Facial Detection Across Diverse Road Conditions
No full textThis study emphasizes the importance of facial detection for improving road safety through driver behavior analysis. Its employs quantitative methodology to underscore the importance of facial detection in enhancing road safety through driver behavior analysis. The research utilizes the Python programming language and applies the Haar cascade method to investigate how environmental factors such as low light, shadows, and lighting changes influence the reliability of facial detection. Employing the AdaBoost algorithm, the study achieves face detection rates exceeding 95%. Practical testing with an ASUS A416JA laptop and Raspberry Pi under varied lighting conditions and distances demonstrates optimal performance in detecting faces between 30 cm and 70 cm, with reduced efficacy outside this range, particularly in low light conditions and at night. Challenges identified include decreased performance in low light conditions, emphasizing the need for improved algorithmic calibration and enhancement. Future research directions involve refining detection algorithms to effectively handle diverse environmental conditions and integrating advanced machine learning techniques, thereby enhancing the accuracy of driver behavior analysis in real-world scenarios and contributing to advancements in road safet
