This research is a study that aims to see whether there is empirical evidence of the reaction of the Indonesian capital market to international political events, namely the 2020 US Presidential Election using abnormal return indicators and trading volume activity. The research methodology used is event research. This study uses primary data taken from the first party and researchers get data directly from a questionnaire given to all employees of IT companies in the Special Region of Yogyakarta. The population in this study are stocks that are included in the top 10 capitalization companies in Indonesia. The sampling technique in this study used convinience sampling. The data collection technique in this study used a questionnaire equipped with an answer level as the choice of respondents to answer questions. The data analysis technique used multiple linear regression and the application used SPSS version 22. The results of the paired sample t-test statistical calculation both abnormal return and trading volume activity showed that there was no difference in the average abnormal return and trading volume activity before and after the event.

Practical activities in mechanical engineering laboratory requires adequate facilities and infrastructure. There are several obstacles to implement metallographic laboaratory. One of obstacles is the lack of equipment microstructure image viewer that can be documented for analysis. The activities of metallographic laboratory are unsatisfactory. To answer these problems, this study provides a solution to design and make equipment can document the image of the metallographic microstructure. In principle, the design and manufacture of this equipment is to change the video signal of microscop image of microstructure sensed by the camera into a digital signal by the video card device. Motor with the adjuster is used to set the microscope focus. The image of microstructure can be observed, stored in a storage media (hard disc/flash disc/CD), and can be printed. The results of this study showed that the converter equipment of microstructures of the microscope image to the computer has successfully been designed and fabricated. The image obtained is better in quality and texture. Microstructures analysis can be easier and reduces analytical error. The image of microstructures can be stored, processed, transferred and printed properly. Using the motor adjuster to set the focus of the microscope improves work efficiency. Key words: metallographic, microstructure, metallurgical-microscope. ABSTRAK Selama ini pelaksanaan praktikum, khususnya praktikum metalografi dihadapkan pada kendala, terutama kendala peralatan untuk penampilan gambar yang dapat didokumentasikan untuk keperluan analisis. Untuk menjawab permasalahan tersebut, penelitian ini memberikan solusi, yaitu dengan merancang dan membuat peralatan yang dapat mendokumentasikan gambar struktur mikro dari hasil proses metalografi. Pada prinsipnya, peralatan yang dirancang dan dibuat adalah bahwa spesimen yang diteliti melalui mikroskop akan diindera oleh kamera, dirubah sinyalnya dari sinyal video menjadi sinyal digital dengan piranti video card. Sedangkan pengaturan fokus digunakan motor penggerak yang dikopling dengan adjuster pada mikroskop. Dengan peralatan tersebut, gambar struktur mikro dapat diamati dan diolah langsung, disimpan dalam media penyimpan (hard disk/flash disk/CD), maupun dapat dicetak dengan menggunakan printer. Hasil dari penelitian ini menujukkan bahwa dengan peralatan pengkonversi gambar struktur mikro dari mikroskop ke komputer yang telah berhasil dirancang dan dibuat, gambar struktur mikro lebih baik dalam kualitas gambar maupun teksturnya. Hal ini akan lebih memudahkan untuk analisis dan mengurangi kesalahan analisis. Gambar struktur mikro juga dapat disimpan, diolah, ditransfer dan dicetak dengan baik menggunakan printer yang sudah disiapkan. Penggunaan motor dalam proses pengaturan fokus mikroskop gambar juga mempermudah operator dalam proses pengambilan gambar, yang berarti lebih meningkatkan efisiensi kerja. Kata kunci :metalografi, struktur mikro, mikroskop metalurgi.

Baggage Towing Tractor (BTT) adalah GSE (Ground Support Equipment) bermotor. Baggage Towing Tractor (BTT) merupakan salah satu equipment yang berperan penting pada perusahaan PT. G yang dapat digunakan untuk membantu mobilisasi alat bantu pengoperasian pesawat yang tidak dapat bergerak secara otomatis. Pada penggunaannya sering kali terjadi kerusakan pada komponen-komponennya. Salah satu komponen yang sering mengalami kerusakan adalah starting motor. Tujuan dari penelitian ini adalah untuk menganalisis akar penyebab masalah dari kerusakan starting motor pada BTT, membuat solusi perbaikan yang harus dilakukan pada komponen yang mengalami kerusakan, dan membuat konsep perawatan yang harus dilakukan pada starting motor Baggage Towing Tractor (BTT). Kerusakan pada starting motor BTT tentunya akan menghambat produktivitas kerja. Metode yang digunakan untuk mencari akar penyebab masalah dari kerusakan starting motor BTT ini adalah dengan Root Cause Analysis (RCA) metode Diagram Fishbone, serta data diperoleh dari hasil wawancara dan observasi lapangan. Dari penelitian ini di diperoleh hasil bahwa kerusakan yang terjadi pada starting motor Baggage Towing Tractor (BTT), yaitu: brush habis, pinion gear mengalami rompal, dan terjadi bad contact (kotor). Faktor penyebab kerusakan dari starting motor disebabkan karena tidak adanya pengecekan secara rutin (preventive maintenance). Perbaikan yang harus dilakukan adalah dengan melakukan pergantian komponen starting motor Baggage Towing Tractor (BTT) yang mengalami kerusakan. Kegiatan perawatan yang dapat dilakukan pada Baggage Towing Tractor (BTT) adalah dengan melakukan disassembly dan inspection.

This research is a study that aims to see whether there is empirical evidence of the reaction of the Indonesian capital market to international political events, namely the 2020 US Presidential Election using abnormal return indicators and trading volume activity. The research methodology used is event research. This study uses primary data taken from the first party and researchers get data directly from a questionnaire given to all employees of IT companies in the Special Region of Yogyakarta. The population in this study are stocks that are included in the top 10 capitalization companies in Indonesia. The sampling technique in this study used convinience sampling. The data collection technique in this study used a questionnaire equipped with an answer level as the choice of respondents to answer questions. The data analysis technique used multiple linear regression and the application used SPSS version 22. The results of the paired sample t-test statistical calculation both abnormal return and trading volume activity showed that there was no difference in the average abnormal return and trading volume activity before and after the event.

This research is an event study that aims to find out whether there is empirical evidence of the reaction of the Indonesian capital market to political events in the country, namely the 2015 Regional Head Election, 2014 Presidential Election, and 2020 US Presidential Election, using abnormal return indicators and trading volume activity. The population in this study are stocks that are included in the top 10 capitalization companies in Indonesia. The data used in this study is secondary data consisting of daily stock prices, daily stock trading volume, and daily stock price index for five days before and five days after the incident. The statistical tool used to test the hypothesis is the paired sample t-test. The results of the statistical calculation of the paired sample t-test both abnormal return and trading volume activity show that there is no difference in the average abnormal return and trading volume activity before and after the event