Article Per Year (5 Year)
p-Index From 2021 - 2026
6.017
P-Index
This Author published in this journals
All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Foristek Lontar Komputer: Jurnal Ilmiah Teknologi Informasi JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Simantec Jurnal Mahasiswa Fakultas Hukum Majalah Komunikasi Massa Proceeding of the Electrical Engineering Computer Science and Informatics Journal of Information Technology and Computer Science (JOINTECS) JURNAL MEDIA INFORMATIKA BUDIDARMA SMARTICS Journal Jurnal Eksplora Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Elektrika Conference on Innovation and Application of Science and Technology (CIASTECH) Jurnal RESISTOR (Rekayasa Sistem Komputer) Systemic: Information System and Informatics Journal Jurnal Mantik Jurnal Ilmu Komputer dan Bisnis JUKANTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Teknologi Dan Sistem Informasi Bisnis JSR : Jaringan Sistem Informasi Robotik e-NARODROID Jurnal Teknik Informatika (JUTIF) Jurnal Nasional Ilmu Komputer Insyst : Journal of Intelligent System and Computation Wijayakusuma Law Review Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Nasional Teknik Elektro dan Teknologi Informasi KNOWLEDGE: Jurnal Inovasi Hasil Penelitian dan Pengembangan Jurnal Borneo Informatika dan Teknik Komputer (JBIT) SATIN - Sains dan Teknologi Informasi Nusantara Journal of Computers and its Applications Jurnal Pendidikan Teknologi Informasi (JUKANTI) Determinasi: Jurnal Penelitian Ekonomi Manajemen dan Akuntansi Digitus : Journal of Computer Science Applications
Aryo Nugroho
Universitas Narotama
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences Other

Published : 65 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Digitus : Journal of Computer Science Applications

 1 
Empowering Decision-Making through Big Data Analytics: A Narrative Review of Techniques, Tools, and Industrial Applications Nugroho, Aryo
Digitus : Journal of Computer Science Applications Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v2i3.836

Abstract

Big Data Analytics (BDA) has become a pivotal enabler of data-driven decision-making across various industrial sectors. This narrative review aims to synthesize existing literature on BDA techniques, tools, and applications to identify their role and impact in decision support systems. The review draws upon scholarly databases such as Scopus, IEEE Xplore, and Google Scholar, utilizing a systematic search strategy with Boolean keyword combinations to retrieve relevant literature. Studies were screened based on inclusion and exclusion criteria, focusing on empirical findings and practical applications of BDA across domains. Findings reveal that techniques such as data mining, predictive analytics, and machine learning offer enhanced accuracy and real-time capabilities, leading to better outcomes in healthcare diagnostics, manufacturing efficiency, and logistics optimization. The utilization of platforms like Hadoop, Spark, and Tableau demonstrates both functional versatility and implementation challenges, influenced by cost, infrastructure, and human capital readiness. Furthermore, the success of BDA initiatives is closely linked to organizational factors including data quality and workforce expertise. Systemic barriers such as strict data policies, fragmented IT infrastructures, and limited data access in low-resource settings impede optimal BDA deployment. This review underscores the need for strategic policy reforms, technological investments, and capacity building to realize the full potential of BDA. By addressing existing limitations and supporting future research directions, organizations can harness BDA to enable informed, agile, and sustainable decision-making.
Sentiment as Signal: Detecting Political Misinformation in Indonesia’s 2024 Election via Lexicon Based NLP Dewi, Ratna Kusuma; Nugroho, Aryo
Digitus : Journal of Computer Science Applications Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v2i3.951

Abstract

The 2024 Indonesian presidential election witnessed heightened political discourse on social media, accompanied by an alarming rise in misinformation. This study explores the use of lexicon augmented sentiment analysis as a method to detect hoax content in electoral conversations across Twitter, TikTok, and Meta platforms. By combining sentiment polarity analysis with weak supervision and partial manual validation, we developed a hybrid model tailored to Bahasa Indonesia. Using around 50,000 social media posts combined with a verified hoax index from MAFINDO, we examined how sentiment changed over time within political hashtags. We found that sentiment sharply declined after major events like debates and result announcements. Importantly, posts with very negative tone were 3–9 times more likely to contain misinformation, with 18% directly matching confirmed hoaxes. The hybrid model improved classification accuracy from 64% to 78%, showing its practical potential. The results confirm that sentiment polarity particularly extreme negativity can serve as a leading indicator for misinformation outbreaks. By aligning lexicon based sentiment scores with external verification sources, this framework enables scalable and semi automated detection of political hoaxes in low resource language settings. Ethical considerations in data handling, platform compliance, and demographic inclusivity are emphasized throughout the methodology. This research contributes to computational political analysis by validating a practical, replicable model for electoral misinformation detection. Future work should extend toward multimodal detection, real time dashboards, and participatory collaborations with fact checkers and regulatory bodies.
Real Time Traffic Engineering with In Band Telemetry in Software Defined Data Centers Nugroho, Aryo; Juwari; Marthalia, Lia
Digitus : Journal of Computer Science Applications Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v3i3.974

Abstract

As data centers scale to accommodate dynamic workloads, real-time and fine-grained traffic engineering (TE) becomes critical. Software Defined Networking (SDN) offers centralized control over data flows, yet its effectiveness is constrained by traditional telemetry mechanisms that lack responsiveness. In-Band Network Telemetry (INT) addresses this gap by embedding real-time path metrics directly into packets, enabling adaptive traffic control based on live network conditions. This study implements and evaluates INT in a programmable Clos fabric using P4 enabled switches. It compares three TE strategies: static ECMP, switch assisted CONGA, and INT informed INT HULA. The simulation incorporates synthetic and trace based data center workloads, including elephant flows and incast scenarios. Performance is assessed using flow completion time (FCT), queue depth, link utilization, and failure recovery speed. INT metadata sizes (32–96 bytes) are also analyzed to quantify overhead vs. performance trade offs. Results indicate that INT HULA consistently outperforms ECMP and CONGA. It reduces FCT by up to 50%, decreases queue occupancy by a factor of three, increases link utilization by more than 25%, and shortens reroute times from 85 ms to 20 ms. These gains are achieved with manageable telemetry overhead and without requiring hardware changes. INT’s real time visibility also improves decision making in centralized SDN controllers and supports hybrid TE architectures. In conclusion, INT fundamentally enhances SDN based TE by enabling closed loop, real time optimization. Its integration with programmable data planes and potential for AI based control loops positions it as a cornerstone of next generation data center networks.
Co-Authors Ach Syuhbanul Yaumi Ach. Syuhbanul Yaumi Achlaq, Mochammad Mizanul Achmad Musyaffa Taufiqi Aditya Bimandaru Agung Widodo Ahmad Khozin Al Azam, Moh Noor Al-Azam, Moh Noor Alamsyah - Alfarizi Kurniawan Lesmana Alvina Shanaz Oktavia Amelia Miska Rahayu Andhika Ryan Pratama Anggi Rizki Septiani Anindito, Benediktus Aprilian Lisa Maryanto Arief Kurniawan Arief Kurniawan Arief Kurniawan Arifah Putri Nabilah Awalludiyah Ambarwati Azizah, Maulidya Nanda Badrus Zaman Bagus Prasetyo Budiono Bayu Indra Kusuma Bayu Saputra Benediktus Anindito Benny Wijaya Budi Wibowo Suhanjoyo Cahyo Darujati Daniel Happy Putra Darian Rizaludin Darujati, Cahyo Dedy Priyambodo Dewi, Ratna Kusuma Din Syamsudin Din Syamsudin Diva Istighfarin Ayu Setianti Eko Budi Santoso Fachrudin, Tresna Maulana Fardiansyah, Muhammad Yusuf Firmansyah, Fariz Galih Hery Herlambang Herlambang, Galih Hery Hidayatillah, Rumaisah I Made Purbhawa I Wayan Teresna, I Wayan Imron Rosydi Irhab, Moh Dzaky Islam, Mochammad Fakhrul Ivan Ubaidillah Sekar Wibowo Izzudin, Rafi Jacky Ma'ruf Fatoni Jelita, Lucia Devlina Adventia Kadek Amerta Yasa Kirana, Viona Chandra Kunto Eko Susilo Latifah Rifani Lestari, Rani Wahyu Marthalia, Lia Maulana, Achmad Zaffri Maulidya Nanda Azizah Mauridhi Hery Purnomo Mirwan Mirwan Mochammad Mizanul Achlaq Moh Noor Al Azam Moh Noor Al-Azam Moh Noor Al-Azam Mohammad Hakam Muh Dimas Yudianto Muhamad Nur Arifin Muhammad Mustajib Muhammad, Iqbal Nur Neta Kania Salsabila Nur, Putri Annisa Oktavia, Alvina Shanaz Permana, Kevin Praba Caesar Bagaskara Prakoso, Muhammad Wisnu Putra, Zuda Pradana Rahmah, Intan Luthfiyah Richardus Eko Indrajit Ricsa Andrean Ricsa Andrean Rumaisah Hidayatillah Rumaisah Hidayatillah Satria Eka Dicky Kurniawan Septian Fendy Septian Fendyputra Pratama Septian, Jeremy Andre Setianti, Diva Istighfarin Ayu Setyawan, Kukuh Rachmad Siregar, Raja Yosia Manahan Trinitas Slamet Winardi Sumerta Yasa, I Made Surya Sumpeno Susilo, Kunto Eko Tresna Maulana Fahrudin Tresna Maulana Fahrudin Wahyu Lestari, Rani Wardhana, Sultan Fahresi Duta Wiwin Agus Kristiana Yosia Chrismas Decky Halundaka yosia halundaka Yulius Satmoko Raharjo Zainul Zulfiqkar Zainul Zulfiqkar Zuda Pradana Putra