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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan Jurnal Informatika dan Teknik Elektro Terapan I-ECONOMICS: A Research Journal on Islamic Economics Register: Jurnal Ilmiah Teknologi Sistem Informasi INTEGER: Journal of Information Technology Applied Technology and Computing Science Journal Kumawula: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Edunomika (JIE) Jifosi Jurnal Akuntansi, Manajemen Dan Ekonomi Islam (JAM-EKIS) Jurnal Material dan Energi Indonesia Sharia Economic and Management Business Journal (SEMBJ) Islamic Banking & Economic Law Studies Al-Intaj : Jurnal Ekonomi dan Perbankan Syariah Journal of Visionary Sharia Economy (JOVISHE) Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Muttaqin, Faisal
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences Other

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PERAN BIG DATA DALAM MANAJEMEN DATA DAN INFORMASI SEBAGAI SISTEM PENDUKUNG KEPUTUSAN (SYSTEMATIC LITERATURE REVIEW) Suryantari, Putu Anggi; Muttaqin, Faisal; Rahajoe, Ani Dijah
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8899

Abstract

Big Data telah menjadi komponen penting dalam manajemen data dan informasi seiring dengan meningkatnya volume dan kompleksitas data yang dihasilkan oleh organisasi. Pemanfaatan Big Data yang tepat memungkinkan organisasi untuk mengelola data secara lebih terstruktur dan menghasilkan informasi yang bernilai bagi pengambilan keputusan manajemen. Penelitian ini bertujuan untuk menganalisis peran Big Data dalam manajemen data dan informasi sebagai sistem pendukung keputusan melalui pendekatan Systematic Literature Review. Metode penelitian dilakukan dengan mengkaji 15 artikel ilmiah yang relevan berdasarkan proses pencarian dan penilaian kualitas literatur. Hasil penelitian menunjukkan bahwa pengelolaan Big Data yang baik mempertimbangkan karakteristik utama Big Data yang meliputi volume, kecepatan, variasi, keandalan, dan nilai data. Selain itu, pemanfaatan Big Data berperan dalam meningkatkan kualitas informasi, mempercepat proses pengambilan keputusan, serta mendukung keputusan manajemen yang lebih akurat dan berbasis data. Dengan demikian, Big Data memberikan kontribusi positif dalam mendukung sistem pendukung keputusan pada organisasi.
Governance Capability Gap Analysis of SIMLITABMAS: A COBIT 2019-Based Evaluation Methodology and Literature Review Fina Amru Millati; Rahmat, Basuki; Muttaqin, Faisal
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 8 No 2 (2025): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v8i2.8460

Abstract

This study aims to evaluate and enhance the Information Technology (IT) governance capability of the SIMLITABMAS system using the COBIT 2019 framework. By integrating a literature study with a formal evaluation methodology, the research focuses its analysis on the Deliver, Service, and Support (DSS) domain, specifically DSS02 (Managed Service Requests and Incidents), DSS03 (Managed Problems), and DSS05 (Managed Security Services). Literature review results indicate that the DSS domain is a critical juncture in university digital services, which frequently encounters obstacles due to manual procedures. Capability measurement results reveal that SIMLITABMAS is currently at Level 3 (Defined) with a fulfillment rate of 75.2%. This finding confirms a one-level gap toward the target of Level 4 (Measured), driven by a high dependency on informal communication channels such as WhatsApp and low digital literacy among users regarding system manuals. As a strategic solution to bridge this gap, this study recommends the implementation of AI Chatbot technology as a 24/7 automated helpdesk. The integration of the COBIT 2019 methodology with this automation solution is proven to transform service governance from an ad-hoc stage toward a more standardized, secure, and quantitatively measurable support system to sustainably support institutional research productivity.
Co-Authors Abda Abda Alfioni, Sovita Ani Dijah Rahajoe Aprina, Nana Arishandy, Zalfa Ibtisamah Asnaini Asnaini, Asnaini B, Idwal Basuki Rahmat Masdi Siduppa Fatimatuz Zuhro, Fatimatuz Fina Amru Millati Fitri, Marsellina Gusti Eka Yuliastuti Harniati, Resi Haryanto, Yosafat Donni Herry Novrianda idwal Idwal, Idwal Isnaini, Desi Juwairiah Juwairiah Khairul Anwar Made Hanindia Prami Swari Maulana, Hendra Oktavian, Jaguar Deva Nanggalasakti pramitha sari, nova Pratama Wirya Atmaja Putra, Chrystia Aji Rachmania, Rachmania Rahmadsyach, Mochammad Taufiq Rahmat Hidayat RIZKI ZULIANDRY, MUHAMMAD IVAN Shar, Aan Subagio, Arif Widiasan Sugeng Santoso Sugiarto S Suryantari, Putu Anggi Zakita, Asyer Pradana Putra Zelvia Liska Afriani