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All Journal Jurnal INKOM JOIN (Jurnal Online Informatika) Jurnal Pilar Nusa Mandiri
Sadikin, Rifki
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Computer Science & IT

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Cover Jurnal Vol 6 No 2 Sadikin, Rifki
INKOM Journal Vol 6, No 2 (2012)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (339.571 KB) | DOI: 10.14203/j.inkom.200

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Daftar Abstrak Sadikin, Rifki
INKOM Journal Vol 7, No 1 (2013)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (169.358 KB) | DOI: 10.14203/j.inkom.234

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Frontmatters Sadikin, Rifki
INKOM Journal Vol 7, No 2 (2013)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (146.476 KB) | DOI: 10.14203/j.inkom.387

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Forewords Sadikin, Rifki
INKOM Journal Vol 6, No 2 (2012)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (97.344 KB) | DOI: 10.14203/j.inkom.201

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Editorial dan Daftar Isi Sadikin, Rifki
INKOM Journal Vol 7, No 1 (2013)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (100.27 KB) | DOI: 10.14203/j.inkom.233

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USTADZ ABDUL SOMAD LECTURE SENTIMENT ANALYSIS USING SUPPORT VECTOR MACHINE ALGORITHM COMPARISON OF COMPARATIVE FEATURES SELECTION Aridarma, Dedi; Sadikin, Rifki; Prakoso, Bobby Suryo; Utama, Heru Sukma
Jurnal Pilar Nusa Mandiri Vol 16 No 1 (2020): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1038.378 KB) | DOI: 10.33480/pilar.v16i1.702

Abstract

Religious lectures are activities that are identical to the religious presentation, delivered verbally by a person who has religious knowledge and then delivered to the community with the aim of the knowledge delivered can be understood. Ustadz Abdul Somad was one of the preachers who had been known to various levels of society, but his lectures were not all acceptable to the people who liked or disliked those who came from various positive and negative comments on social media. To solve these problems, Sentiment Analysis was used by applying the Support Vector Machine Algorithm method. The purpose of this study is to compile using the selection of feature Particle Swarm Optimization and Information Gain. The results for Particle Swarm Optimization Selection Feature resulted in Accuracy of 80.57%, Precision of 85.45%, and Recall of 79.52%, Selection Feature Information Gain resulted in Accuracy of 79.78%, Precision of 78.47%, and Recall of 78, 43%, Based on the results of this study, it can be concluded that using the Particle Swarm Optimization selection feature is better at the level of accuracy when compared to using the Information Gain selection feature.
Performance Evaluation of NAS Parallel and High-Performance Conjugate Gradient Benchmarks in Mahameru Wirahman, Taufiq; Latifah, Arnida L; Muttaqien, Furqon Hensan; Swardiana, I Wayan Aditya; Arisal, Andria; Iryanto, Syam Budi; Sadikin, Rifki
JOIN (Jurnal Online Informatika) Vol 10 No 2 (2025)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v10i2.1557

Abstract

High-Performance Computing (HPC) plays a crucial role in accelerating scientific advancement across numerous fields of research and in effectively implementing various complex scientific applications. Mahameru is one of the largest national HPC systems in Indonesia and has been utilized by many sectors. However, it has not undergone proper benchmarking evaluation, which is vital for identifying issues related to hardware and software configurations and confirming system reliability. Therefore, this study aims to evaluate the performance, efficiency, and capabilities of Mahameru. We present a benchmarking system on Mahameru utilizing two benchmark suites: the NAS Parallel Benchmarks (NPB) and the high-performance conjugate gradient (HPCG) benchmark. Our results indicate that the NPB exhibits a lower speedup in Message Passing Interface (MPI) compared to OpenMP, which can be attributed to the communication overhead and the nature of the computational tasks. Additionally, the HPCG benchmark demonstrates that Mahameru performance can compete with the lower tiers of the Top 500 supercomputers. When operating at full capacity, Mahameru can achieve approximately 2.5% of its theoretical peak performance. While the system generally performs reliably with parallel algorithms, it may not fully leverage hyperthreading with certain algorithms. This benchmark result can serve as a basis for decision-making regarding potential upgrades or changes to a system.
Co-Authors Andria Arisal, Andria Aridarma, Dedi Furqon Hensan Muttaqien Latifah, Arnida L Prakoso, Bobby Suryo Swardiana, I Wayan Aditya Syam Budi Iryanto, Syam Budi Utama, Heru Sukma Wirahman, Taufiq