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All Journal Jurnal Ekonomi CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Blockchain Frontier Technology (BFRONT) Journal of Computer Science and Technology Application
Khairunnisa, Novita
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Other

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PERAN SATUAN PENGAWASAN INTERNAL DAN DEWAN PENGAWAS TERHADAP TERWUJUDNYA GOOD UNIVERSITY GOVERNANCE DENGAN CONTROL ENVIRONMENT DAN AUDIT RISK SEBAGAI VARIABEL MODERATING (STUDI EMPIRIS PADA PERGURUAN TINGGI SATKER BADAN LAYANAN UMUM DIINDONESIA) Khairunnisa, Novita; Rasuli, M.; Ratnawati, Vince
Jurnal Ekonomi Vol 24, No 3 (2016)
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (345.111 KB) | DOI: 10.31258/je.24.3.p.107

Abstract

This research intends to analyze the role Internal Audit and Board OfSupervisors to reached Good University Governance, and analyze the roleControl Environment and Audit Risk in mediate their relationship to GoodUniversity Governance. The object of this research is internal auditors andDewan Pengawas. This research was conducted to 60 Universities unit BLU inIndonesia. Analyctical model which used for this research to ModeratedRegression Analysis (MRA). Based on research concluded that Internal Audit andBoard Of Supervisors could affect the Good University Governance. It can beproven by the first and the fourth hypothesis. And then, control environment andaudit risk proved to mediate role Internal Audit and also role Board OfSupervisors toward Good University Governance. It can be proven by the second,third, fifth, and the sixth hypothesis.
Strategi Pengembangan Startup Teknologi di Indonesia Melalui IT Business Incubation: Technology Startup Development Strategy in Indonesia Through IT Business Incubation Padli, Ahmad; Khairunnisa, Novita; Khanza, Aulia; Andayani, Dwi; Halim, Erwin
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 3 No 1 (2024): September
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v3i1.621

Abstract

Startup teknologi Indonesia semakin berperan penting dalam perekonomian digital di tengah pesatnya kemajuan teknologi dan meningkatnya kebutuhan akan inovasi di berbagai industri. Tujuan dari penelitian ini adalah untuk menemukan dan menilai strategi yang berguna untuk membangun startup teknologi melalui inkubasi bisnis berbasis teknologi informasi (IT Business Incubation). Analisis kualitatif dan studi kasus dilakukan pada berbagai inkubator bisnis yang berhasil di Indonesia. Hasil penelitian menunjukkan bahwa akses ke pendanaan, bimbingan dari mentor yang berpengalaman, jaringan bisnis yang luas, dan dukungan infrastruktur yang memadai adalah komponen penting untuk keberhasilan inkubasi startup. Selain itu, kolaborasi dengan lembaga pendidikan dan penelitian, serta kebijakan pemerintah yang mendukung, merupakan faktor penting dalam menciptakan ekosistem yang menguntungkan untuk pertumbuhan startup. Studi ini menemukan bahwa meningkatkan daya saing dan keberlanjutan startup teknologi di Indonesia memerlukan pendekatan holistik dan kerja sama antara berbagai pemangku kepentingan.
Supply Chain Transparency: Exploring Blockchain Solutions for Enhanced Traceability and Efficiency Khairunnisa, Novita; Christiani, Felinia; Giri Prawiyogi, Anggy
Blockchain Frontier Technology Vol. 4 No. 1 (2024): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v4i1.569

Abstract

  The increasing complexity of supply chains necessitates enhanced transparency to ensure efficiency, traceability, and trust among stakeholders. Traditional supply chain systems often struggle with issues related to data integrity, fraud, and inefficiency. This study employs a comprehensive literature review and case study analysis to investigate the implementation of blockchain technology in supply chain management. Various case studies are examined to highlight successful blockchain applications and their impact on supply chain transparency. The primary objective of this research is to explore how blockchain solutions can enhance traceability and efficiency in supply chains, ultimately leading to improved operational outcomes and stakeholder trust. Findings indicate that blockchain technology significantly improves traceability by providing immutable records of transactions and product journeys. Additionally, it enhances operational efficiency by streamlining processes, reducing costs, and minimizing the need for intermediaries. Case studies from diverse industries demonstrate practical applications and measurable benefits, including increased visibility, quicker recall processes, and enhanced accountability. The integration of blockchain technology into supply chains offers a transformative approach toachieving greater transparency and efficiency. This study highlights the potential of blockchain to address critical challenges in traditional supply chain systems and emphasizes the need for further research on scalability and interoperability to realize its full benefits.
Efektivitas Digital Learning Platform terhadap Motivasi Mahasiswa menggunakan Studi Literatur Sunarjo, Richard Andre; Yusup, Muhammad; Andayani, Dwi; Alwiyah, Alwiyah; Khairunnisa, Novita; Khanza, Aulia
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 11 No 1 (2025): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v11i1.3234

Abstract

Penelitian ini bertujuan untuk mengeksplorasi dan mengevaluasi penerapan digital learning platform untuk meningkatkan motivasi mahasiswa di era digital. Di tengah perubahan lanskap pendidikan yang dipengaruhi oleh teknologi, motivasi mahasiswa menjadi faktor kunci keberhasilan belajar. Penelitian ini mengintegrasikan konsep-konsep dari teori motivasi, teknologi pendidikan, dan metode digital learning platform untuk merancang strategi pembelajaran yang berfokus pada partisipasi aktif mahasiswa. Pendekatan penelitian memadukan untuk memahami dampak penerapan metode digital learning platform terhadap motivasi mahasiswa. Temuan menunjukkan bahwa penggunaan metode digital learning platform, seperti pembelajaran berbasis realita virtual, pembelajaran berbasis gamifikasi, dan metode pembelajaran simulasi komputer dapat meningkatkan keterlibatan dan motivasi mahasiswa dalam belajar secara signifikan. Implikasi dari penelitian ini menunjukkan bahwa penerapan digital learning platform dapat memberikan manfaat yang signifikan bagi mahasiswa, termasuk peningkatan motivasi, keterlibatan, dan keterampilan belajar. Dengan memanfaatkan teknologi digital secara efektif, mahasiswa dapat mencapai hasil belajar yang lebih baik dan siap menghadapi tantangan di era digital.
Leveraging IPFS for Secure, Distributed Blockchain Data Infrastructure and Enhanced Security Sandy Setiawan; Muchlisina Madani; Sondang Visiana S; Elisa Ananda Natalia; Khairunnisa, Novita; Kristina Vaher
Blockchain Frontier Technology Vol. 5 No. 1 (2025): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v5i1.826

Abstract

In an increasingly digital world, where centralized storage systems dominate and censorship risks are growing, the InterPlanetary File System (IPFS) has emerged as a promising decentralized data storage solution. This research aims to evaluate the potential and challenges of implementing IPFS, using a descriptive qualitative approach that includes both a comprehensive literature review and technical simulations. The literature review highlights IPFS’s advantages, particularly in areas such as data integrity, resistance to censorship, and efficient content distribution. However, it also identifies key challenges, such as high latency and the dependency on node availability. To further investigate these issues, technical simulations were conducted using a private IPFS network, testing file access latency under different network conditions. The results indicate that the fastest average latency occurs when all nodes are active, at 150 ms, while the highest latency is observed when files are accessed through a public gateway, with an average of 540 ms. These findings demonstrate that IPFS has substantial potential to create a more open, decentralized digital ecosystem that resists centralized control. However, for large-scale adoption to be feasible, significant improvements in infrastructure, particularly node availability and latency management, are required to fully support IPFS’s widespread implementation.
Evaluating the Effectiveness of Machine Learning in Cyber Threat Detection Khanza, Aulia; Yulian, Firdaus Dwi; Khairunnisa, Novita; Yusuf, Natasya Aprila; Nuche, Asher
CORISINTA Vol 1 No 2 (2024): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ysdncf05

Abstract

In today's digital era, cyber threats pose significant challenges to organizations, necessitating more advanced detection methods. This study aims to evaluate the effectiveness of machine learning (ML) techniques in detecting cyber threats, focusing on supervised, unsupervised, and reinforcement learning models. Using datasets such as CICIDS2017, the study trains models including Random Forest, Support Vector Machines (SVM), and Neural Networks. The evaluation is based on accuracy, precision, recall, and F1-score metrics. The results demonstrate that the Random Forest model outperforms others with an accuracy of 92.5\%, a precision of 91.8\%, and an F1-score of 92.4\%. This superior performance highlights its potential for real-time threat detection, as evidenced by a case study where the model effectively identified previously undetected cyber threats in a large technology company's network. However, the study also acknowledges challenges such as data quality and the need for continuous model updates. The findings suggest that integrating ML models into cybersecurity frameworks can significantly enhance threat detection efficiency. Future research should explore combining ML with traditional methods and improving model robustness against adversarial attacks to further advance cybersecurity measures.
Co-Authors Alwiyah Alwiyah Anggy Giri Prawiyogi, Anggy Giri Christiani, Felinia Dwi Andayani Dwi Andayani, Dwi Elisa Ananda Natalia Erwin Halim, Erwin Khanza, Aulia Kristina Vaher M. Rasuli Muchlisina Madani Muhammad Yusup Nuche, Asher Padli, Ahmad Sandy Setiawan Sondang Visiana S Sunarjo, Richard Andre Vince Ratnawati Yulian, Firdaus Dwi Yusuf, Natasya Aprila