BUKU ABSTRAK - Universiti Putra Malaysia
BUKU ABSTRAK - Universiti Putra Malaysia
BUKU ABSTRAK - Universiti Putra Malaysia
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Science, Technology & Engineering<br />
A Framework of Knowledge Management (KM) Strategies of Open Source<br />
Software Development (OSSD) with Collaborative Environment<br />
Dr. Rusli Abdullah<br />
Modi Lakulu, Mohd. Hasan Selamat and Hamidah Ibrahim<br />
Faculty of Computer Science and Information Technology, University <strong>Putra</strong> <strong>Malaysia</strong>,<br />
43400 UPM Serdang, Selangor, <strong>Malaysia</strong>.<br />
+603-8946 6557; rusli@fsktm.upm.edu.my<br />
The global economy crisis reveals the advantages of Open Source Software (OSS). Software developers<br />
benefit not only from reduced cost of acquisition, but also access to source code and components. Feller and<br />
Fitzgerald (2002) raised the critical questions on what life-cycle underpins the OSS model and what is the best<br />
methodology to support the OSS as well as what toolkit support OSS methodology. Knowledge Management<br />
System (KMS) is capable to manage knowledge and the best solution for sharing knowledge among developers<br />
in terms of software development process. This study is to solve the problem and to formulate a Knowledge<br />
Management System (KMS) framework for sharing OSS knowledge in software development. The formulation<br />
of framework covers the major methodologies in software development but the development of prototype system<br />
only focusses on SDLC from the planning phase until the maintenance phase. The development of the prototype<br />
system uses a prototype approach. A survey was conducted on selected OSS developers in <strong>Malaysia</strong> to gauge<br />
the developer’s awareness of OSS and to ascertain the usage of OSS tools in software development and finally<br />
to analyse and validate the framework’s components. The results show the reliability using Rasch Method and<br />
SPSS based on Cronbach Alpha is 0.97 and the reliability for both measurement is excellent. (Fisher 2007), Based<br />
on three measurements (mean, reliability and percentage), 97.39% of the respondents agree for the framework<br />
components respectively and this gives positive feedback to OSS tools in software development. Hence,<br />
98.13% of the respondents agree that to manage OSS tools based on knowledge ontology according to software<br />
development process can help to choose rightly and accelerate the software development. The contributions of<br />
this study are to provide a mechanism for sharing OSSD knowledge and finally to create a third generation of<br />
KM society in <strong>Malaysia</strong>.<br />
Keywords: Knowledge management system, open source software (OSS), OSS development<br />
New Technology to Determine Harvesting Date for the Oil Palm FFB<br />
Prof. Ir. Dr. Wan Ishak Wan Ismail<br />
Mohd. Hudzari Razali and Nader Kavandi<br />
Faculty of Engineering, University <strong>Putra</strong> <strong>Malaysia</strong>,<br />
43400 UPM Serdang, Selangor, <strong>Malaysia</strong>.<br />
+603-8946 6408; wiwi@eng.upm.edu.my<br />
This study introduced the new concept of image based measurement for modelling the oil palm fresh fruit<br />
bunches (FFB) maturity prediction which enables to determine the correct time for harvesting. The experiments<br />
procedure starts from collection of the fruitlets of FFB during unripe (black colour surface) until overripe (orange<br />
colour surface) stage. The variety of oil palm is Tenera (Elaeis guineensis). The fruitlets were plucked from FFB<br />
and analysed for oil mesocarp content by using the Soxhlet extractor machine. The calculations to determine the<br />
mesocarp oil content was developed based on ratio of oil to dry mesocarp. The images were analysed for optical<br />
properties of colour, namely hue, using the analysis software that was developed at our research laboratory.<br />
Regression analysis of polynomial 2nd order equation method showed that the optical property of oil palm<br />
fruit was significant in determining the oil from the mesocarp fruit, with respect to the degree of maturity. The<br />
triangulation method was developed to estimate the optimum days for harvesting the FFB at the highest content<br />
and quality of the oil. For commercialisation, the personal Digital Assistance (PDA) was used as a portable oil<br />
palm maturity prediction device. The above prediction equations and triangulation table were downloaded to the<br />
PDA.<br />
Keywords: Prediction of day harvesting, mesocarp oil content, hue optical properties, camera vision, PDA<br />
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