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All Journal Jurnal Sisfokom (Sistem Informasi dan Komputer) Journal of Education Research eProceedings of Engineering Jurnal Hukum Caraka Justitia Indonesian Journal on Computing (Indo-JC)
Rahmat Rambe
Telkom University
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Implikasi Etika dan Hukum dalam Penggunaan Teknologi Pengenalan Wajah: Perlindungan Privasi Versus Keamanan Publik Rambe, Rahmat; Abdurrahman, Lukman
Jurnal Hukum Caraka Justitia Vol. 4 No. 2 (2024)
Publisher : Universitas Proklamasi 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jhcj.v4i2.1828

Abstract

Facial recognition technology has been widely applied in everyday life and raises pros and cons, especially in the legal and ethical realms related to protecting privacy and public security. This research investigates the moral and legal implications of implementing this technology, with a focus on the conflict between individual privacy and public safety. Through a comprehensive literature review, this research analyzes various relevant views and findings. Researchers’ conclusions often highlight the dilemma between ethics and law in the use of facial recognition technology, emphasizing the importance of striking a balance between protecting privacy and public safety. This research aims to make a significant contribution to understanding this debate and promoting responsive and fair policy.
Implementasi Manajemen Risiko pada Aplikasi XYZ dengan Pendekatan SNI ISO/IEC 27005:2018 Rambe, Rahmat; Gandhi, Arfive; Sabariah, Mira Kania
eProceedings of Engineering Vol. 10 No. 4 (2023): Agustus 2023
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Risk manager atau manager risiko adalah suatu proses yang pengelolaan risikonya dilakukan terhadap suatu ketidakpastian yang berkaitan dengan ancaman yang terjadi pada suatu website atau aplikasi sehingga menyebabkan tumbuhnya risiko. Metodologi risk manager sendiri sering digunakan dalam manajemen proyek yang terbaru untuk pengelolaan risiko, Proses sistem Aplikasi XYZ sendiri berisi mengenai informasi data pribadi calon mahasiswa dan data administrasi yang berhubungan dengan universitas. Semua pengisian data dilakukan oleh calon mahasiswa secara online melalui aplikasi yang disediakan. Pada sistem PMB yang sedang berlangsung saat ini ditemukan banyak permasalahan yang dialami oleh calon mahasiswa terutama pada saat penguksesan aplikasi. Oleh karena itu, data yang masuk kedalam sistem database universitas ada double, tidak ke upload dan gagal proses penginputan. Masing-masing risiko ditangani secara accept, avoid. Hasil akhir penelitiain ini digunakan untuk melihat daftar risiko, ancaman, dan yang lainnya yang berkaitan serta mengeluarkan solusi dan pemberian keputusan yang akan dipertimbangkan kembali oleh pihak Universitas ABC dalam pengembangan, pengelolaan dan pemeliharan Aplikasi XYZ kedepannya. Solusi yang yang dikeluarkan pada penelitian terdapat pada bagian rekomendasi kontrol yang di buat berdasarkun rekomendasi dari ISO 27005.Kata kunci— risk manager, SNI ISO/IEC 27005:2018, universitas XYZ, sistem penerimaan mahasiswa baru (PMB), aplikasi XYZ.
Evaluasi Implementasi Rencana Induk Kota Cerdas di Pemerintah Kota Indonesia melalui SLR Rambe, Rahmat; Abdurrahman, Lukman
Journal of Education Research Vol. 7 No. 1 (2026)
Publisher : Perkumpulan Pengelola Jurnal PAUD Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37985/jer.v7i1.3001

Abstract

Keberhasilan program smart city di Indonesia sangat bergantung pada master plan yang mengintegrasikan kemajuan teknologi dengan tujuan tata ruang. Namun, penyelarasan antara master plan smart city dan perencanaan spasial masih menjadi tantangan karena perbedaan interpretasi antar daerah. Penelitian ini menggunakan metode Systematic Literature Review (SLR) untuk mengevaluasi implementasi master plan smart city di kota-kota Indonesia. Hasilnya menunjukkan berbagai hambatan, seperti komunikasi yang lemah, keterbatasan sumber daya, komitmen rendah dari pelaksana, dan keterlambatan birokrasi. Kota seperti Jakarta, Bandung, dan Surabaya menghadapi kendala infrastruktur, regulasi yang tidak konsisten, serta keterbatasan dana dan kesadaran publik. Studi ini memberikan rekomendasi seperti peningkatan infrastruktur TIK, kolaborasi pemangku kepentingan, dan penyelarasan rencana induk dengan kerangka pembangunan spasial guna mendorong pertumbuhan kota yang berkelanjutan dan inklusif.
The Impact of Ransomware on Indonesia’s National Data Security: Case Study of Kominfo Data Leaks Rahmat Rambe; Fairuz Fernanda Hermawan
Indonesian Journal on Computing (Indo-JC) Vol. 10 No. 1 (2025): August, 2025
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/indojc.v10i1.8976

Abstract

Ransomware poses a growing threat to national data security, especially in Indonesia, where government agencies have experienced serious data breaches. This study examines the June 2024 ransomware attack on Indonesia’s Ministry of Communication and Informatics (Kominfo) through a systematic literature review (SLR) of 1,200 articles from Semantic Scholar, Scopus, and IEEE Xplore (2015–2024), narrowing to 45 relevant studies. Findings highlight critical vulnerabilities, including weak technical infrastructure, inadequate backup systems, low password security, poor inter-agency coordination, and a shortage of trained cybersecurity professionals. Governance issues such as ineffective regulation and corruption in procurement further increased systemic risk. Current literature shows limited relevance to Indonesia’s context, as most studies originate from high-income countries. The study recommends strengthening cybersecurity regulations aligned with frameworks like the GDPR, and improving workforce capabilities through targeted training. Cross-sector and international collaboration are also key to building resilience. These strategies are essential to enhance data protection and prevent future breaches.
Bank Mandiri Stock Performance Prediction Via SVM, LSTM, and Random Forest Rahmat Rambe; Hanif Fakhrurroja; Lukman Abdurrahman
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 15 No. 02 (2026): MAY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v15i02.2589

Abstract

Reliable stock price prediction is critical for effective investment decisions; however, high volatility and nonlinear dynamics continue to challenge forecasting accuracy. Despite the extensive use of machine learning in financial research, short-term comparative studies on Indonesian banking stocks remain scarce. This study evaluates the performance of Support Vector Machine (SVM), Long Short-Term Memory (LSTM), and Random Forest models in predicting Bank Mandiri’s stock prices using daily data from Yahoo Finance covering June to December 2024. The data, including price indicators and trading volume, were normalized, transformed into time-series sequences, and divided into training and testing sets. SVM was applied for directional classification, while LSTM and Random Forest were used for regression-based price prediction. Model performance was assessed using accuracy and mean squared error (MSE). The findings show that LSTM achieves the lowest prediction error (MSE = 0.0045), indicating superior ability to model temporal and nonlinear price patterns. In contrast, Random Forest records the highest classification accuracy (0.9932), demonstrating strong performance in predicting price direction. Overall, LSTM is most effective for short-term price forecasting under volatile market conditions, whereas Random Forest remains a robust option for directional classification.
Co-Authors Arfive Gandhi Fairuz Fernanda Hermawan Hanif Fakhrurroja Lukman Abdurrahman Lukman Abdurrahman Mira Kania Sabariah