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INDONESIA
Jurnal Teknologi dan Manajemen Industri Terapan
ISSN : 28290232     EISSN : 28290038     DOI : -
Jurnal Teknologi dan Manajemen Industri Terapan (JTMIT) adalah journal blind peer-review yang bersifat open access yang memungkinkan artikel tersedia secara online tanpa berlangganan apapun. JTMIT didedikasikan untuk publikasi hasil penelitian, artikel teknis, konseptual dan laporan studi kasus dalam bidang Teknologi dan Manajemen secara umum, namun tidak terbatas secara implisit. Jurnal Teknologi dan Manajemen Industri Terapan (JTMIT) dikelola secara professional dan diterbitkan oleh Yayasan Inovasi Kemajuan Intelektual dalam membantu para akademisi, peneliti, dan praktisi untuk menyebarkan hasil penelitiannya
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Articles 484 Documents
Implementasi Layer-7 Load Balancing Dengan Sistem Geo-Aware Failover Untuk Meningkatkan Reliabilitas Layanan Berbasis Web Wildy Sheverando; Agustinus Fritz Wijaya
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 4 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i4.1399

Abstract

Sistem load balancing merupakan komponen penting dalam menjaga kinerja dan ketersediaan layanan pada infrastruktur jaringan berskala besar, namun banyak implementasi yang masih menggunakan algoritma statis seperti Round Robin yang belum mampu menyesuaikan kondisi kesehatan server dan latensi jaringan secara real-time, sehingga berpotensi meningkatkan latensi dan downtime ketika salah satu server mengalami gangguan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem Layer-7 Load Balancer berbasis Geo-Aware Failover dengan perhitungan Exponential Weighted Moving Average (EWMA) sebagai solusi untuk meningkatkan stabilitas distribusi beban, reliabilitas layanan, serta pengambilan keputusan adaptif pada lingkungan multi-region. Implementasi dilakukan menggunakan OpenResty (Nginx + LuaJIT) yang dilengkapi modul deteksi lokasi pengguna, pemeriksaan kesehatan backend, dan pembaruan nilai latensi secara berkelanjutan. Pengujian performa dan reliabilitas dilakukan menggunakan Apache JMeter dan PyTest dalam skenario normal, failover, dan failback. Hasil pengujian menunjukkan bahwa sistem mampu mempertahankan waktu respons rata-rata pada rentang 208–300 ms, transisi failover kurang dari 1 detik, serta tingkat ketersediaan layanan di atas 99%, dengan peningkatan performa yang lebih baik dibandingkan metode Round Robin konvensional. Dengan demikian, penelitian ini memberikan kontribusi berupa pengembangan mekanisme load balancing adaptif berbasis lokasi dan latensi yang dapat meningkatkan performa, kontinuitas layanan, dan kemampuan adaptif pada arsitektur layanan berbasis web berskala global.
An Evaluation of Osint Tools for External Attack Surface Mapping Q Fadlan
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 3 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i4.1415

Abstract

Modern cybersecurity relies heavily on proactively understanding the external attack surface (EAS), defined as the totality of digital assets accessible to attackers from the internet, including domains, subdomains, IP addresses, SSL certificates, cloud services, and exposed employee information. Failure to map these assets can create blind spots that are exploited in zero-day and misconfiguration-based attacks. This research aims to evaluate the effectiveness, efficiency, and scope of publicly available Open-Source Intelligence (OSINT) tools, such as Subfinder, Amass, Maltego, theHarvester, and Shodan , in identifying and mapping an organization's EAS components. The research approach involved benchmarking these tools against predetermined targets, comparing metrics such as execution time, number of unique assets discovered, and accuracy of collected information. Initial findings indicate that no single tool can provide comprehensive EAS mapping, highlighting the need for a tool-chaining strategy or combination of tools for optimal results. This evaluation provides practical recommendations for security professionals and Red Teams on the most appropriate OSINT tools for the various phases of EAS mapping, contributing significantly to a data-driven cybersecurity risk management strategy.
Correlation Analysis Between Changes in Regional Geopolitical Landscape and The Frequency An Severity Of Cyber Attacks On Critical Infrastructure In Indonesia Ricky Setiady
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 3 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i3.1417

Abstract

This study aims to investigate and quantitatively analyze the correlation between the changing dynamics of the regional geopolitical landscape of Southeast Asia and the Asia-Pacific region and the frequency and severity of cyberattacks targeting critical infrastructure (IK) in Indonesia during the period. Indonesia's critical infrastructure, which includes the energy, finance, communications, and defense sectors, has increasingly become a primary target for state-sponsored actors and hacktivist groups operating with political-economic motivations. Geopolitical changes, measured through indicators such as escalating maritime tensions in the South China Sea, shifting bilateral alliances, and the hegemonic competition between major powers (the US and China), are considered to influence the intensity and complexity of cyber threats. This study uses a correlational research design, integrating cyber incident data from the National Cyber and Crypto Agency (BSSN) and other trusted sources, including attack frequency and severity metrics, as well as qualitative data converted into a quantitative index of regional geopolitical events. Initial results are expected to show a significant positive correlation, indicating that escalating geopolitical tensions directly translate into increased cyber activity aimed at destabilization and espionage within Indonesia's financial system. This finding is crucial for formulating national cybersecurity policies and risk mitigation strategies aligned with geopolitical challenges.
IT Infrastructure Automation Management with Infrastructure-As-Code (IAC) Modelling in Multi-Cloud Environments Agus Sulaiman
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 4 No. 2 (2025): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i2.1421

Abstract

Digital transformation has driven the adoption of multi-cloud environments, defined as the use of computing services from two or more public cloud providers (e.g., AWS, Azure, GCP) to mitigate vendor lock-in risks, optimize costs, and meet geographic requirements. However, multi-cloud environments pose significant management challenges, characterised by disparate API complexity, configuration discrepancies, and scalability bottlenecks that hinder rapid service delivery. This study aims to evaluate the effectiveness of Infrastructure-as-Code (IaC) modelling (using tools such as Terraform and Ansible) as a primary mechanism for automated management of IT infrastructure in complex multi-cloud architectures. The study uses a case study and experimental approach to compare metrics such as deployment time, configuration drift rate, and code portability when managing load balancers and distributed networks across three major cloud providers. The research hypothesis states that leveraging IaC, specifically platform-agnostic tools, significantly reduces operational overhead and improves infrastructure consistency (immutability) across different clouds compared to manual or console-based provisioning methods. The findings are expected to provide a practical framework and best practices for DevOps teams and Cloud engineers to achieve efficient automation and uniform governance in a multi-cloud ecosystem.