Petrus Santoso

Adaptive Cars Headlamps System with Image Processing and Lighting Angle Control

The project proposed a prototype of an adaptive car headlamps control using image processing. The adaptive headlamps system focuses on the lighting angle control of low beam in the headlamps which its light tracks moved horizontally. The controller in headlamps is based on image processing from a camera mounted on the car. Adaptive headlamps system consists of portable tiny computer of Raspberry Pi, Arduino microcontroller, and two stepper motors for the left and the right headlamps. The system was implemented on the headlamps of a Toyota Avanza car. The adaptive headlamps system could detect most types of cars ahead. It could decrease a ‘glare’ effect and increase the driver sight based on survey taken from the driver and the driver of opposite car. The system still couldn’t detect the opposite car with high intensity of light from braking lamps, as well as the light from the opposite front lamps.

Situation Awareness Assessment Mechanism for a Telepresence Robot

There are several metrics to evaluate about the sophistication of a telepresence robot. One of them is concerning operator performance especially about Situation Awareness (SA). There are many ways to enhance their awareness about situation and environment in the remote side. To do an evaluation, this paper want to propose a mechanism to do an SA assessment on a telepresence robot. The proposed mechanism is basically based on a query that randomly displayed to the operator. The operator will quickly respond to the query on the telepresence robot user interface. The query is used to assess SA, therefore all SA requirements from perception to prediction will be accommodated. The mechanism is developed and implemented on the telepresence robot prototype. Some users tried to operate and respond to the assessment queries. The user response can be stored and retrieved to be processed further to do an SA assessment. The mechanism seems to be working and can be easily deployed to another telepresence robot as long as the protocol is compatible.

Android Application for Distribution Switchboard Design

Mobile applications for distribution switchboard design are very rare. Currently, existing program is a program on a PC that can be used to perform complex electrical switchboard design but is not considered practical. An Android application is proposed to be used design a distribution switchboard in a practical way. The application is designed for 10.1” tablet platform with API 16 android operating system. This application was developed by using “Eclipse” software. Distribution switchboard designed follows the standard PUIL, SPLN, IEC, and IEEE. Distribution switchboard that has been designed by this application can be compared to the result of “MyEcodial L 3.4” software.

Odometry Algorithm with Obstacle Avoidance on Mobile Robot Navigation

Many algorithms have been devised on mobile robot navigation system. Some of them use algorithm based on newer concept like fuzzy logic or genetic algorithm. Some are stick on older algorithm like odometry. A simple, less intensive calculation algorithm for a lightweight telepresence robot is required. To accommodate the requirement, odometry algorithm is chosen specifically. Obstacle avoidance feature is proposed to enhance the algorithm. A mobile robot prototype is implemented using Arduino UNO, two DC geared motors, single caster wheel, and an ultrasonic sensor. Two kind of experiments are performed. The first experiment is to verify that odometry algorithm is working. The second one is used to verify obstacle avoidance mechanism. The results are satisfying. Mobile robot can avoid the obstacle and reach the destination correctly. Further experiment is needed to decide about ultrasonic sensor placement in a real telepresence robot.

Perancangan dan Implementasi Sistem Home Automation pada Ruang Rapat Laboratorium Elektronika Universitas Kristen Petra

Perancangan sistem home automation yang diterapkan pada ruang rapat laboratorium elektronika Universitas Kristen Petra. Sistem ini memadukan pencahayaan alami menggunakan blind dan pencahayaan buatan dengan menggunakan lampu LED. Selain itu, pengontrolan AC juga dapat dilakukan pada sistem ini. Sistem dibagi menjadi 2 jenis kontrol, yakni manual dan otomatis. Sistem kontrol manual menggunakan aplikasi mobile berbasis Android sebagai panel kontrol. Sistem kontrol otomatis menggunakan smart sensor sebagai umpan balik. Smart sensor mampu menangkap informasi pencahayaan, gerakan, suhu, dan kelembapan. Hasilnya, proses otomatis berjalan stabil mendekati set point . Proses manual pada aplikasi mobile berhasil mengirimkan perintah ke Arduino dengan tingkat kesalahan 0%, sedangkan pembacaan input memiliki tingkat kesalahan 20%. Kontrol AC dilakukan dengan perantara remote AC universal.

Room Access Control System Using Facial Image Recognition

The aim of the project is to implement a facial recognition system for access control to enter a room. The facial image captured by a webcam and then be detected/tracked using Haar face tracking algorithm. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) algorithm have been used for face recognition. The system was tested with 10 users from the member of a laboratory room. Each user registered 100 images for training of the PCA and LDA. The recognition rate achieved using PCA was 70% and 97% for LDA.

STUDI BANDING PENGGUNAAN FORMAT DjVu DAN FORMAT JPG UNTUK PENYIMPANAN DOKUMEN DALAM BENTUK ELEKTRONIK

This paper presents a project of Web-based Distance Learning support system. The system has been built based on the Internet and World Wide Web facility. The system could be accessed with a web browser which is directed to a certain web server address so that students can do learning process just like in the real situation, such as student admissions, taking course materials, syllabus, assignments, students grades, class discussions through web, and doing online quizzes. Students could also join collaboration works by giving opinions, feedback and student produced paper/web which can be shared to the entire learning community. Therefore, it will build a collaborative learning environment where lectures together with students make constructive knowledge databases for entire learning community. This system has been developed based on Active Server Pages (ASP) technology from Microsoft which is embedded in a web server. Web pages reside in a web server which is connected to an SQL Database Server. Database server is used to store structured data such as lectures/students personal information, course lists, syllabus and its descriptions, announcement texts from lecturers, commentaries for discussion forum, student’s study evaluations, scores for each assignment, quizzes for each course, assignments text from lectures, assignments which are collected by students and students contribution/materials. This system has been maintained by an administrator for maintaining and developing web pages using HTML. The administrator also does ASP scripts programming to convert web pages into active server pages. Lectures and students could contribute some course materials and share their ideas through their web browser. This web-based collaborative learning system gives the students more active role in the information gathering and learning process, making the distance students feel part of a learning community, therefore increasing motivation, comprehension and interaction with other students.Nowadays, most of the information is still in printed format. To reproduce it in the electronic form, we need an efficient way to save the scanned document. For this purpose, AT & T Labs has been developing a new technology called DjVu. In this paper, we try to compare DjVu and JPG format. The goal is to decide whether DjVu is better or not. To achieve the goal, we try to scan the document and save it in DjVu and JPG format, make comparison between these two based on file size and image quality. Comparison is done for three types of document, such as b/w photo, document with text, and document in colour. The conclusion is, DjVu format is better than JPG in file size and quite good in image quality. So, DjVu have a chance to become a new standart.