Jurnal Pilar Nusa Mandiri https://ejournal.nusamandiri.ac.id/index.php/pilar <p>The Pilar Nusa Mandiri: Journal of Computing and Information System Journal is a formation of the Information Systems study program, which was originally a medium for accommodating scientific writings of Universitas Nusa Mandiri Jakarta Information Systems lecturers. Along with the times, this journal has become a National journal that has P-ISSN: 1978-1946 and E-ISSN: 2527-6514. Pilar Nusa Mandiri: Journal of Computing and Information System has become a <strong>Rank 3 Accredited Journal&nbsp;</strong>and is trying to become a higher accredited journal. Pilar Nusa Mandiri: Journal of Computing and Information System is published 2 times in 1 year, namely in March and September. This journal is&nbsp;<span class="tlid-translation translation"><span title="">Rank 3 <strong>Accreditation Certificate (S3)</strong>, Accreditation is valid for 5 years. Starting from Vol. 12, No. 1 the Year 2016 to Vol. 16, No. 2 the Year 2020.&nbsp;Journal of PILAR Nusa Mandiri, re-accreditation remains at Rank 3 (SINTA 3), starting Vol. 15 No. 2 of 2019 based on the Decree of the Minister of Research and Technology / National Research and Innovation Agency <strong>Number 85 / M / KPT / 2020, April 1, 2020</strong>.</span></span></p> LPPM Universitas Nusa Mandiri en-US Jurnal Pilar Nusa Mandiri 1978-1946 <div class="page"> <p>An author who publishes in the Pilar Nusa Mandiri: Journal of Computing and Information System agrees to the following terms:</p> <ol> <li>Author retains the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-NonCommercial 4.0 License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal</li> <li>Author is able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) with the acknowledgement of its initial publication in this journal.</li> <li>Author is permitted and encouraged to post his/her work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of the published work (See The Effect of Open Access).<br>Read more about the Creative Commons Attribution-NonCommercial 4.0 Licence here: https://creativecommons.org/licenses/by-nc/4.0/.</li> </ol> </div> PARALLEL NUMERICAL COMPUTATION: A COMPARATIVE STUDY ON CPU-GPU PERFORMANCE IN PI DIGITS COMPUTATION https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/3291 <p>As the usage of GPU (Graphical Processing Unit) for non-graphical computation is rising, one important area is to study how the device helps improve numerical calculations. In this work, we present a time performance comparison between purely CPU (serial) and GPU-assisted (parallel) programs in numerical computation. Specifically, we design and implement the calculation of the hexadecimal -digit of the irrational number Pi in two ways: serial and parallel. Both programs are based upon the BBP formula for Pi in the form of infinite series identity. We then provide a detailed time performance analysis of both programs based on the magnitude. Our result shows that the GPU-assisted parallel algorithm ran a hundred times faster than the serial algorithm. To be more precise, we offer that as the value&nbsp; grows, the ratio between the execution time of the serial and parallel algorithms also increases. Moreover, when&nbsp; it is large enough, that is This GPU efficiency ratio converges to a constant, showing the GPU's maximally utilized capacity. On the other hand, for sufficiently small enough, the serial algorithm performed solely on the CPU works faster since the GPU's small usage of parallelism does not help much compared to the arithmetic complexity.</p> Yozef Tjandra Sanga Lawalat ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-09-13 2022-09-13 18 2 93 100 10.33480/pilar.v18i2.3291 DEVELOPMENT OF KNOWLEDGE MANAGEMENT SYSTEM FOR JAIPONG DANCE https://ejournal.nusamandiri.ac.id/index.php/pilar/article/view/2930 <p>Knowledge for culture is a concept of using information and communication technology to increase usability in the field of culture, especially in managing, documenting, disseminating information and knowledge of cultural arts, especially Sundanese cultural arts, namely the art of jaipong dance. For the art of jaipong dance to be maintained, it is necessary to manage information and knowledge that utilizes the sophistication of information and communication technology towards the noble values ​​of jaipong dance. In that way, the art of jaipong dance can be passed on to each generation to maintain culture as self-identity and show the existence of Sundanese culture in the eyes of the national and even the world. Knowledge Management Systems (KMS) is a solution that can be used to preserve the art of jaipong dance in Indonesia by managing existing knowledge about various things about the art of jaipong dance. The research method uses an integrated knowledge system management cycle. There are three main stages: knowledge capture and/or creation, knowledge sharing and dissemination, and knowledge acquisition and application. Meanwhile, for the formation of knowledge used in this study, the SECI Nonaka model was used. KMS itself can benefit experts, organizations, and the general public. It becomes learning material for every generation. The process of transferring information and knowledge about the movements in the Jaipong dance what musical instruments are used in performances, fashion, and make-up can run. properly and can preserve the art of jaipong dance, which is one of the characteristics of dance in Indonesia.</p> Neneng Rachmalia Feta ##submission.copyrightStatement## http://creativecommons.org/licenses/by-nc/4.0 2022-10-03 2022-10-03 18 2 1 9 10.33480/pilar.v18i2.2930