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International Journal of Computing and Informatics (IJCANDI)
Published by Universitas Mulawarman
ISSN : 25022334     EISSN : -     DOI : -
IJCANDI (INTERNATIONAL JOURNAL OF COMPUTING AND INFORMATICS) ISSN: 2502-2334 is a peer reviewed open-access journal published four times a year (February, May, August, November) in English-language, provides scientists and engineers throughout the world for the exchange and dissemination of theoretical and practice-oriented papers dealing with advances in computing and informatics. All the papers are refereed by two international reviewers, accepted papers will be available on line (free access), and no publication fee for authors. IJCANDI is organized by Faculty of Computer Science and Information Technology, Computer Science and Information Technology Department - Universitas Mulawarman, Faculty of Computing and Informatics - Universiti Malaysia Sabah, and Faculty of Computer Science, Universitas Muslim Indonesia.
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Articles 3 Documents
Search results for , issue "Vol 1, No 4 (2016): November 2016" : 3 Documents clear
Web service development as mechanism of interoperability between the Academic Information System (AIS) Mulawarman University and the Higher Education Data Base (PDDIKTI) using academic data from Department of Computer Science and Statistic at Faculty of Mathematic and Natural Science Dedy Cahyadi
International Journal of Computing and Informatics (IJCANDI) Vol 1, No 4 (2016): November 2016
Publisher : International Journal of Computing and Informatics (IJCANDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19732/10.19732/vol1122016

Abstract

Higher Education Data Base (Pangkalan Data Perguruan Tinggi/PDDIKTI) is used by policy makers at Directorate of Higher Education at the Ministry of Research and Higher Education in order to improve the quality, relevance, affordability and equal access to higher education in which sustainable. In fact, the data still need improvements due to several causes such as invalidity, overlapping, and updating problems.  The management of PDDIKTI does not guarantee the validity of data, therefore universities should carry out regular updates to ensure data displayed on PDDIKTI website (http://forlap.ristekdikti.go.id) is legitimate for users who use the data such as HRD staff of companies in recruitment process.Mulawarman University has connected an Academic Information System (AIS) with PDDIKTI by using web service to process data updates. However, the process itself has a long mechanism and resulted in a slow progress because it must pass through several administrative stages ranging from the department, faculty and university. In the process, validity of the data is still on the department’s responsibility.This research has conducted a Proof of Concept (POC) on the use of web service to process data updates on PDDIKTI through AIS. It is carried out only at department level, consequently, the workflow of updates can become shorter and faster. Based on this result, there are two urgent needs that can be proposed to academic policy makers in campus: improved workflow and an updated standard of procedure in data updates from AIS to PDDIKTI.Higher Education Data Base (Pangkalan Data Perguruan Tinggi/PDDIKTI) is used by policy makers at Directorate of Higher Education at the Ministry of Research and Higher Education in order to improve the quality, relevance, affordability and equal access to higher education in which sustainable. In fact, the data still need improvements due to several causes such as invalidity, overlapping, and updating problems.  The management of PDDIKTI does not guarantee the validity of data, therefore universities should carry out regular updates to ensure data displayed on PDDIKTI website (http://forlap.ristekdikti.go.id) is legitimate for users who use the data such as HRD staff of companies in recruitment process.Mulawarman University has connected an Academic Information System (AIS) with PDDIKTI by using web service to process data updates. However, the process itself has a long mechanism and resulted in a slow progress because it must pass through several administrative stages ranging from the department, faculty and university. In the process, validity of the data is still on the department’s responsibility.This research has conducted a Proof of Concept (POC) on the use of web service to process data updates on PDDIKTI through AIS. It is carried out only at department level, consequently, the workflow of updates can become shorter and faster. Based on this result, there are two urgent needs that can be proposed to academic policy makers in campus: improved workflow and an updated standard of procedure in data updates from AIS to PDDIKTI.
Comparative Analysis of Tsukamoto and Sugeno Fuzzy Methods For Procurement Optimization Fahrul Agus; Hairunnisa Hairunnisa; Septya Maharani
International Journal of Computing and Informatics (IJCANDI) Vol 1, No 4 (2016): November 2016
Publisher : International Journal of Computing and Informatics (IJCANDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19732/10.19732/vol1122016

Abstract

This paper aims to conduct a comparative analysis of appropriate methods between Tsukamoto and Sugeno fuzzy method in solving optimization problems approximate amount of procurement. The analysis is done by comparing the average value of the relative error in the calculation results forecasts procurement of data procurement of goods belonging to a company. The results of the analysis is implemented in an application program and obtained value of the average relative error Tsukamoto method by 39.67% and amounted to 50.39 % of Sugeno method. Based on these results, Tsukamoto method is more appropriate and recommended to solve optimization of the approximate number of procurement.
Secure Data Transfer on Color Flower Image Using AES, GA and LSB Ekta Chauhan
International Journal of Computing and Informatics (IJCANDI) Vol 1, No 4 (2016): November 2016
Publisher : International Journal of Computing and Informatics (IJCANDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19732/10.19732/vol1122016

Abstract

a new technique is going to be introducing for data transmission over internet. This research presented image steganography on color flower image using genetic algorithm (GA) and AES with LSB technique. In this paper secret data is encrypted and decrypted by AES is performed to high security. Then improved covert message is identified by GA. This proposed method is executed and key strength of this project is its huge data hiding capability and least distortion in Stego image. This technique is functional over various images and the outcomes show least distortion in altered image. PSNR and entropy help for experimental study.

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