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"Dashboard is a computer interface that displays a variety of charts, graphs, tables, which are selected reports from various data that are considered important to display rapidly, with an attractive appearance, dynamic, and relevant so that it can immediately be seen quickly to analyze a condition. Dashboard information system is widely used in various companies as a support system for decision-making where Dashboard usually displays data business trends of the company or the achievement of KPI (Key Performance Indicator) of a company. The method used is descriptive analysis by means of collecting information that areimportant for universities to be considered asthe Key Success Factors (KSF) of the university, and then, the design of the dashboard is made in accordance with these important factors.The result of this study is a grand design of information systems for the university performance monitoring, starting from the reception of students, faculty performance, student academic achievement, effectiveness and efficiency of services, including graduates. It is expected that by the time the system has been fully implemented, the university can take action quickly and accurately with respect to the required conditions."

"ABSTRAKDashboard merupakan komponen penting dalam sebuah kendaraan untuk memberitahu pengemudi tentang kondisi kendaraan. Dashboard terdiri dari berbagai jenis mulai dari analog, hybrid dan digital. Dashboard analog masih sering digunakan dalam berbagai kendaraan, namun memiliki kelemahan seperti data yang dikirimkan masih berupa data sederhana dan lama karena menggunakan prinsip mekanik dalam pengiriman datanya. Seiring berjalannya waktu data yang dibutuhkan kendaraan semakin banyak yang sudah tidak mungkin menggunakan dashboard analog. Perkembangan Molina terakhir menggunakan android sebagai dashboadnya namun masih memiliki kelemahan data yang dikirim sedikit, sering mati dan lamanya waktu setup. Untuk itu dikembangkan lagi dashboard dengan tampilan data lebih banyak, waktu setup yang singkat dan tampilan yang menarik menggunakan QtCreator. Rancangan dari dashboard meliputi pengambilan data dari sensor menggunakan Robotic Operating System, pembuatan modul pengiriman data menggunakan socket programming dan membuat dashboard menggunakan QtCreator. Keberhasilan dari perancangan ini menunjukkan bahwa data yang bisa dikirimkan dan ditampilkan jauh lebih banyak dan lebih komplek namun tetap memuat informasi secara real-time dengan rata-rata waktu pengiriman data berkisar 42ms.

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ABSTRACT

Dashboard is an important component in a vehicle to inform the driver about the condition of the vehicle. Dashboards consist of various types from analog, hybrid and digital. Analog dashboards are still often used in a variety of vehicles but have disadvantages such as the data sent is still in the form of simple data and slow communication because it uses mechanical principles in sending data. Nowadays, the data needed by the vehicle more and it is not possible to use an analog dashboard. The latest development of Molina uses Android as its dashboard, but it still has a weakness of data that is small size data, oftenly dead and the length of time setup. For this reason, a dashboard with more data, a short setup time and an attractive display was developed using QtCreator. The design of the dashboard includes taking data from the sensor using the Robotic Operating System, making the module sending data using socket programming and making the dashboard using QtCreator. The success of this design shows that the data that can be sent and displayed is much more and more complex but still contains information in real-time with an average time of sending data around 42ms."

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One rapidly evolving technology today is information technology, which can help decision-making in an organization or a company. The data warehouse is one form of information technology that supports those needs, as one of the right solutions for companies in decision-making. The objective of this research is the development of a data warehouse at PT JKL in order to support executives in analyzing the organization and support the decision-making process. Methodology of this research is conducting interview with related units, literature study and document examination. This research also used the Nine Step Methodology developed by Kimball to design the data warehouse. The results obtained is an application that can summarize the data warehouse, integrating and presenting historical data in multidimensional. The conclusion from this research is the data warehouse can help companies to analyze data in a flexible, fast, and effective data access.

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"Tesis ini membahas mengenai bagaimana melakukan perancangan model Dashboard Manajemen untuk mengukur kinerja manajemen pada industri farmasi dengan menggunakan pendekatan Balance Scorecard dan Analytical Hierarchy Process (AHP). Perancangan dimulai dari penerjemahan visi, misi dan nilai ke dalam sasaran strategi perusahan hingga indikator kinerja atau Key Performance Indicator )KPI), kemudian dilanjutkan dengan menetapkan kriteria keberhasilan kinerja. Hasil dari penelitian implementasi Dashboard menunjukkan kenaikan kinerja sebesar 7%.

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The purpose of this study is to design a model called "Dashboard Management system" as an early warning system. The approach used a Balance Scorecard and Analytical Hierarchy Process (AHP) to interpreted company vision, mission and value into strategy map and key performance indicator. The result from implemented of Dashboard Management from January untul April is increasing of performance management about 7%."

"Universitas Indonesia terlibat dalam program mobil listrik nasional. Salah satu fokus riset dari tim Molina UI adalah pengembangan Molina EV Bus yang rencananya akan digunakan untuk mengganti bus kuning UI sehingga bisa lebih ramah lingkungan. Dengan pengembangan fasilitas UI untuk pengguna difabel, Tim Molina UI berencana membuat prototipe EV bus baru untuk mendukung pengembangan fasilitas tersebut. Pengembangan prototype ini diharapkan dapat meningkatkan kualitas fitur yang ada pada Molina EV Bus, termasuk bagian dashboard yang belum dikaji secara mendalam. Demi mendukung pengembangan prototipe tersebut, penelitian ini mencoba mengkaji mengenai perancangan desain dashboard untuk Molina EV Bus. Penelitian ini menggunakan integrasi metode ECQFD Environmentaly Concious Quality Function Deployment dan TRIZ Theory of Inventive Problem Solving . ECQFD mencoba mentranslasikan kebutuhan user menjadi karakteristik kualitas berdasarkan aspek lingkungan. TRIZ digunakan untuk menterjemahkan karakteristik kualitas menjadi spesifikasi teknis. Penelitian ini menghasilkan 3 rekomendasi desain dashboard bus yang sustainable, inovatif, dan sesuai dengan preferensi user.

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Universitas Indonesia is involved in the national electric car development program. One of the focus by the research team is to develop the Molina EV Bus which is planned to replace the current operational bus at UI so that it can be more environmental friendly. With UI developing facilities for the disabled, the Molina research team planned to make a new prototype of the Molina EV Bus to contribute to the facilities developed for the disabled. The new prototype is expected to increase the quality of the previous features of the EV Bus, including the dashboard that had been ignored.

To support the development of the new prototype, this research was conducted to design a suitable dashboard for the new prototype. This research used the integration of ECQFD Environmentaly Concious Quality Function Deployment and TRIZ Theory of Inventive Problem Solving method. ECQFD was used to translate user needs into quality characteristics based on environmental aspects. TRIZ was used to translate the quality characteristics into technical specifications. This research has generated 3 sustainable, innovative, and user prefered dashboard design recommendation for the new prototype. "

"Badan Kepegawaian Negara BKN sesuai dengan tugas yang diamanatkan dalam Undang-Undang ASN berkewajiban melakukan pembinaan dan menyelenggarakan manajemen Aparatur Sipil Negara ASN. Dalam rangka menjalankan tugasnya, BKN memerlukan informasi perkembangan PNS dari tahun ke tahun. Informasi PNS didapat dari implementasi data warehouse kepegawaian nasional. Pengembangan data warehouse menggunakan metode Kimball Life-Cycle dengan pendekatan yang menggabungkan user-driven dan goal-driven dalam analisis kebutuhan. Tujuan penelitian ini untuk merancang, mengimplementasikan dan memvisualisasikan informasi dari data warehouse yang mendukung perumusan kebijakan dan pengambilan keputusan mengenai manajemen PNS. Data kepegawaian akan diintegrasikan dengan data spasial yang akan memberikan nilai tambah pada informasi yang ditampilkan.

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Badan Kepegawaian Negara BKN , Indonesian National Civil Service Agency, that has been mandated in Law of the Republic of Indonesia on the Civil State Apparatus, is obliged to conduct guidance and organize the management of civil servants. In order to undertake its duties, BKN requires global civil servants information periodically. Information on civil servants obtained from the implementation of national civil servants data warehouses. The data warehouses development is carried out based on the Kimball Life Cycle method with the combination of user driven and goal driven approach in requirement analysis.

The purpose of this study is to design, implement and visualize information from data warehouses that support policy and decision making regarding civil servant management especially related to the analysis of the needs of civil servants procurement. Employment data will be integrated with spatial data that will be added value in visualizing information."

"ABSTRAKSistem monitoring kendaraan saat ini telah banyak diterapkan pada industri otomotif dalam bentuk dashboard yang mampu menampilkan berbagai indikator mengenai kondisi mobil. Akan tetapi, dashboard yang ada saat ini hanya menampilkan data mengenai kendaraan melalui port OBD saja. Untuk menguji kenyamanan dan keamanan kendaraan diperlukan tambahan sensor-sensor yang di pasang di berbagai tempat pada kendaraan. Agar dashboard kendaraan dapat menampilkan data yang di dapat dari sensor-sensor tersebut, digunakan sebuah perangkat yang berfungsi sebagai Main Unit Data Collector. Perangkat tersebut berperan untuk mengumpulkan data dari sensor dan port OBD. Data yang terkumpul kemudiam dikirimkan ke perangkat Android dengan metode socket programming. Dari penelitian yang dilakukan didapatkan hasil bahwa penggunaan Main Unit Data Collector yang dipadukan dengan metode socket programming sebagai protokol komunikasi mampu menghasilkan dashboard kendaraan yang menampilkan data tentang kondisi kendaraan secara lebih komprehensif dan real-time, dimana data mampu ditampilkan dengan sampling time sebesar 185.1454 milidetik.

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ABSTRACTThe vehicle monitoring system has now been widely applied to the automotive industry in the form of a dashboard that capable of displaying various indicators that give information about the condition of the car in realtime. However, the current dashboard only displays data about the vehicle through the OBD port only. To test the comfort and safety of the vehicle, additional sensors that are installed in various places on the vehicle are needed. In order to vehicles dashboard displays the data obtained from that other sensors, a Main Unit Data Collector device is used to collect sensor data and then send the data to an Android device. The data is sent by using socket programming method. From the research conducted it was found that the use of the Main Unit Data Collector that combined with the socket programming method used for its communication protocol can produce vehicle dashboards that display more comprehensive and real-time data, where is capable of displays data with a sampling time of 185.1454 milliseconds."