Prof. Soeparwi veterinary hospital is one of the medical institutions focused on providing medical services for animals. In its daily operations, the flow of informations among various departments has yet to be supported by management information systems (MIS) which enables efficiency of business process and a better management of the data. Previous researches have been conducted to develop MIS, which resulted in three independent MIS for managing registration, medical records, and patient bills. Each MIS is using their own database to store the data, thus causing duplicates of information and inconsistencies, and also increasing complexity in accessing the data. The goal of this research is to redesign the said database into a single database that will be used by various MIS. Three independent databases are merged by applying a technique that uses linguistic information as the basis for the matching-called linguistic-based schema matching. This method's accuracy is evaluated by calculating precision, recall, and F-measure-which we obtained scores of above 50% for all three indicators. Requirement analysis is performed to further develop the database for supporting further needs of the hospital. The new database system is tested using black-box technique under few test cases to see if its functionality corresponds with the specifications defined. Result of this test proves that the new database could handle valid, invalid, and redundant inputs as expected by a score of 100% success rate.

Robot lengan merupakan salah satu aplikasi robotika yang telah banyak diterapkan di dunia industri. Penelitian ini menerapkan salah satu aplikasi dari robot lengan 4-DOF dengan gripper end effectornya. Robot ini berfungsi sebagai pengklasifikasi objek berdasarkan warna objek secara otomatis. Secara keseluruhan, sistem otomasi ini terdiri dari robot lengan, konveyor statis, dan wadah sesuai warna (merah, biru, hijau, dan hitam). Sistem ini terdiri dari sensor warna RGB satu pixel, mikrokontroller sebagai prosessor, dan 6 buah servo sebagai aktuator. Sensor RGB berfungsi sebagai masukan yang diproses melalui mikrokontroler dan dilakukan perhitungan jumlah objek berdasarkan warna. Untuk penentuan posisi target peletakan objek digunakan metode pemetaan arena. Posisi ini dapat diatur secara manual dan kemudian disimpan di memori mikrokontroler sebagai acuan aksi robot lengan. Hasil penelitian ini menunjukkan bahwa robot lengan dapat mendeteksi dan mengklasifikasi objek berwarna merah dengan waktu 10 detik, hijau 8,9 detik, biru 8 detik, dan hitam 9,9 detik.

This paper presents the design of a monitoring and control system that will be installed in buildings and used as a building management system for monitoring dan controlling mechanical and electrical devices embedded in the building. The system implements the master slave RS485 multidrop configuration. The system hardware consists of sensor, controller, and actuator. Arduino board with AT Mega series microcontroller unit (MCU) is used as controller. MCU's ADC will be used as sensor. MODBUS remote terminal unit is used as protocol and implemented inside the master and slave progam inside the MCU. At the end of this paper, the result of transmission with various baud rate setting, various cable length, multiple message frames and are presented.

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