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All Journal Journal of ICT Research and Applications International Journal of Community Service
Mulya Agung
School Of Electrical Engineering And Informatics, Institut Teknologi Bandung, Jalan Ganesha No. 10, Bandung 40132, Indonesia
Religion Humanities Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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High Performance CDR Processing with MapReduce Mulya Agung; Achmad Imam Kistijantoro
Journal of ICT Research and Applications Vol. 10 No. 2 (2016)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2016.10.2.1

Abstract

A call detail record (CDR) is a data record produced by telecommunication equipment consisting of call detail transaction logs. It contains valuable information for many purposes in several domains, such as billing, fraud detection and analytical purposes. However, in the real world these needs face a big data challenge. Billions of CDRs are generated every day and the processing systems are expected to deliver results in a timely manner. The capacity of our current production system is not enough to meet these needs. Therefore a better performing system based on MapReduce and running on Hadoop cluster was designed and implemented. This paper presents an analysis of the previous system and the design and implementation of the new system, called MS2. In this paper also empirical evidence is provided to demonstrate the efficiency and linearity of MS2. Tests have shown that MS2 reduces overhead by 44% and speeds up performance nearly twice compared to the previous system. From benchmarking with several related technologies in large-scale data processing, MS2 was also shown to perform better in the case of CDR batch processing.  When it runs on a cluster consisting of eight CPU cores and two conventional disks, MS2 is able to process 67,000 CDRs/second.
Strengthening Partnership : ICT Academy APTIKOM - HUAWEI Tiawan, Tiawan; Benny Mutiara, Achmad; Rayi Pradono Iswara; Teja, Husni; Solikin, Solikin; Anggraini, Yunita; Ismiyati, Ismiyati; Aripiyanto, Saepul; Ariesta, Eliza; Surjandy, Surjandy; Gusan Putra, Merios; Suryana, Radit; Lukman Hakim, Dani; Atsirina Krisnaputri, Nilam; Supam Wijaya, Arif; Agung, Mulya
International Journal Of Community Service Vol. 5 No. 4 (2025): November 2025 ( Indonesia - Thailand - Malaysia - Timor Leste - Philippines )
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijcs.v5i4.932

Abstract

Through strategic cooperation between university and industry, the community service initiative "Strengthening Partnership: ICT Academy APTIKOM–Huawei" seeks to establish a long-lasting digital talent ecosystem in Indonesia. The initiative, which is being implemented under the APTIKOM network with active participation from Institut Teknologi Sains Bandung (ITSB), incorporates curriculum alignment, structured talent development pathways, and worldwide ICT certification. By connecting academic learning with real-world technical standards and enabling instructors and students to gain globally recognized competencies, the program fosters innovation in higher education. The collaboration supports the development of human capital in a sustainable manner that is in line with Golden Indonesia 2045 and Indonesia's national digital transformation strategy. Regarding global development alignment, this initiative directly promotes SDGs 17 (Partnerships for the Goals) through cross-sectoral engagement between universities, professional associations, and the ICT industry, and SDG 4 (Quality Education) through ICT-driven capacity building. The results show that collaboration-driven innovation can increase equal access to technology education across Indonesian higher education institutions, boost institutional capabilities, and speed up digital preparedness.
Co-Authors Achmad Imam Kistijantoro Anggraini, Yunita Ariesta, Eliza Aripiyanto, Saepul Atsirina Krisnaputri, Nilam Benny Mutiara, Achmad Gusan Putra, Merios Ismiyati, Ismiyati Rayi Pradono Iswara Solikin Solikin Supam Wijaya, Arif Surjandy, Surjandy Suryana, Radit Teja, Husni Tiawan, Tiawan