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Kinerja akustik di ruang kelas memiliki peranan penting dalam berinteraksi saat kegiatan belajar mengajar. Untuk mendapatkan kondisi kelas yang efektif diperlukan sebuah ruang kelas yang dapat memenuhi kriteria ruangan yang baik. Adapun salah satu faktor yang mempengaruhi kegiatan pembelajaran yaitu faktor lingkungan. Faktor lingkungan digambarkan sebagai keadaan dan suasana ruang kelas yang dipengaruhi oleh faktor kebisingan, pencahayaan, suhu dan lainnya yang dapat menganggu. Penelitian ini memiliki tujuan untuk mengidentifikasi faktor apa yang memiliki pengaruh signifikan terhadap intensitas suara di ruang kelas dengan menggunakan desain faktorial umum. Desain faktorial umum digunakan untuk menentukan semua kemungkinan efek kombinasi dari masing-masing faktor. ANOVA selanjutnya digunakan untuk menganalisis faktor yang signifikan dan interaksi antar faktor tersebut. Faktor yang menjadi pertimbangan dalam penelitian ini adalah faktor frekuensi dan kondisi pendingin ruangan. Berdasarkan penelitian ini, faktor frekuensi menjadi faktor yang paling signifikan mempengaruhi tingkat intensitas suara dengan menggunakan taraf signifikansi 5%. Pendingin ruangan juga memiliki pengaruh terhadap tingkat intensitas suara ketika suhu diatur menjadi sangat rendah yang mengakibatkan kompresor pendingin ruangan akan bekerja lebih keras dan menghasilkan tingkat kebisingan tertentu. Terkait dengan kondisi tersebut maka diperlukan pengeras suara tambahan yang didesain khusus untuk ruang kelas agar kegiatan belajar mengajar menjadi lebih efektif terutama dalam penyampaian informasi. Selain itu, penelitian lanjutan dapat dilakukan dengan melakukan perancangan ulang ruangan berdasarkan data dari penelitian ini.

This study aims to reduce the failure of the measurement process on Part Reinf BK6 in the automotive industry which prioritizes accuracy and precision in the process to maintain product quality and customer satisfaction. This study used the measurement system analysis (MSA) method to analyze the Gage R&R on a measurement system, with 2 operators and 10 parts measured with 3 repetitions. The MSA results before improvement showed a Total Gage R&R of 67.80% with a repeatability value of 0.98% and a reproducibility value of 66.82%. The result indicated that the measurement system needs to be improved because the Gage R&R is still above 30%. After improving the measurement process by adding the Go No Go pin as an additional tool, the MSA results show the Total Gage R&R value after the improvement is made to 10.11% with repeatability and reproducibility values of 10.11% and 0% respectively. Based on the results of the study, it can be concluded that the improvements made have a significant effect on the measurement system on Part Reinf BK6. This will improve accuracy and precision in the measurement process, maintain product quality, and increase customer satisfaction. Therefore, improving the measurement system is very important in the automotive industry.

Electric vehicles are a future transportation option that has the advantages of reducing air pollution and being environmentally friendly. Battery-based electric vehicles are still relatively new in Indonesia and have not received public attention like conventional oil-fueled vehicles. Electric vehicles such as electric cars have been socialized, but there are still many assumptions that electric cars are still not roadworthy because they are still in the development process. Presidential regulation number 55 of 2019 is expected to be the legal basis for boosting the development of electric vehicles in Indonesia. This study address to explore and identify the main impact factors of product change on the automotive industry in Indonesia. To identify this case, the model was built based on the Theory of Planned Behavior (TPB) which was expanded in the context of the adoption of electric vehicles. This study aims to identify what factors can affect product changes in the automotive industry. This model is formed by main constructs: individual behavior, subjective norms, and perceived behavior control, as well as three other factors identified from the literature review and interviews. Based on this research, it was found that three factors can have an impact on product changes in the automotive industry. These three factors are subjective norms, perceived risk, and logistical incentives. Apart from these three factors, other supporting factors are also expected to be able to develop the electric vehicle ecosystem in Indonesia.