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Evaluating Trust Aware Machine Learning Models for Secure Data Sharing in Distributed Internet of Things and Edge Computing Infrastructures Eko Siswanto; Danang Danang; Sunarmi Sunarmi
International Journal of Computer Technology and Science Vol. 1 No. 1 (2024): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i1.359

Abstract

The rapid growth of Internet of Things (IoT) and edge computing technologies has introduced new security challenges due to the distributed, heterogeneous, and dynamic nature of these environments. Conventional static security mechanisms, such as rulebased authentication and fixed trust models, are often inadequate for addressing evolving threats and abnormal behaviors in largescale IoT systems. To overcome these limitations, this study proposes a machine learningbased trust evaluation framework for enhancing security in distributed IoT environments. The proposed approach dynamically assesses the trustworthiness of IoT nodes by analyzing behavioral and interactionbased features collected at the edge layer. Machine learning models are trained to classify nodes into trusted and malicious categories and continuously update trust values in response to changing network conditions. Based on the predicted trust levels, adaptive security decisions are enforced to allow or restrict node participation in data sharing and computation processes. A quantitative experimental evaluation is conducted using simulated distributed IoT scenarios that include both normal and malicious behaviors. The performance of the proposed framework is evaluated using standard metrics such as accuracy, precision, recall, F1score, and detection effectiveness, and is compared against conventional static trust and rulebased security mechanisms. The results demonstrate that the proposed machine learningbased trust evaluation approach achieves significantly higher detection accuracy and robustness while maintaining low computational overhead. Overall, the findings confirm that integrating machine learning into trust management provides an effective and scalable solution for securing distributed IoT systems under dynamic and adversarial conditions.
Penerapan Metode Monte Carlo Simulation untuk Estimasi Risiko Portofolio Saham pada Pasar Modal Indonesia Sunarmi Sunarmi; Siti Kholifah
Journal of New Trends in Sciences Vol. 1 No. 4 (2023): November : Journal of New Trends in Sciences
Publisher : CV. Aksara Global Akademia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59031/jnts.v1i4.782

Abstract

This research explores the application of Monte Carlo Simulation in estimating portfolio risk in the Indonesian stock market. The primary objective is to assess the effectiveness of this method in predicting portfolio return distribution and managing risk compared to traditional methods like Value at Risk (VaR). Data from the Indonesia Stock Exchange (IDX) were used to analyze stock returns, focusing on sectors such as telecommunications and property. Monte Carlo Simulation was applied to generate multiple scenarios of stock returns based on historical data and probabilistic distributions. The findings show that Monte Carlo Simulation provides a more comprehensive risk estimation, especially for stocks with high volatility and small market capitalization. Unlike VaR, which assumes a normal distribution, Monte Carlo Simulation accounts for extreme risk events and market uncertainties. The study also highlights the importance of diversification, as portfolios with a mix of high and low volatility stocks demonstrate a more stable risk profile. The results suggest that Monte Carlo Simulation is an effective tool for investors looking to manage risk in dynamic market conditions, providing more accurate and reliable estimations compared to traditional risk assessment methods. This research recommends further exploration of Monte Carlo Simulation in other sectors or with varied data for broader applications in risk management.
THE AUTHORITY OF THE CURATOR IN GENERAL SEIZURE OVER UNPAID PRELIMINARY SALE AND PURCHASE AGREEMENT (PPJB) OBJECTS IN LIMITED LIABILITY COMPANY BANKRUPTCY (A STUDY OF COMMERCIAL COURT DECISION NO. 29/PDT.SUS-GLL/2022/PN.NIAGA.JKT.PST) Artanti Silitonga; Sunarmi Sunarmi; Robert Robert
Journal Analytica Islamica Vol 15, No 1 (2026): ANALYTICA ISLAMICA
Publisher : Program Pascasarjana UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jai.v14i3.27986

Abstract

This study examines the authority of curators in enforcing general seizure (sita umum) over objects of Sale and Purchase Binding Agreements (Perjanjian Pengikatan Jual Beli/PPJB) that have not been fully paid in the bankruptcy of a Limited Liability Company, based on the Commercial Court Decision No. 29/Pdt.Sus-GLL/2022/PN.Niaga.Jkt.Pst. The main issue addressed is whether unpaid PPJB objects may be included in the bankruptcy estate (boedel pailit) and the extent of the curator's authority in managing and settling such objects. This research employs a normative juridical method using statutory and case approaches by analyzing Law Number 37 of 2004 on Bankruptcy and Suspension of Debt Payment Obligations, along with relevant court decisions. The findings indicate that unpaid PPJB objects are, in principle, part of the bankruptcy estate since ownership rights have not been fully transferred, thereby granting the curator authority to impose general seizure and conduct management and settlement actions. Nevertheless, the exercise of such authority must consider the principles of justice and legal protection for good-faith buyers. The court's decision clarifies the legal standing of PPJB in bankruptcy proceedings and delineates the scope of the curator's authority.
Cyber Notary as A Mean of Indonesian Economic Law Development Ikhsan Lubis; Tarsisius Murwadji; Sunarmi Sunarmi; Detania Sukarja
Sriwijaya Law Review Volume 7, Issue 1 January 2023
Publisher : Faculty of Law, Sriwijaya University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28946/slrev.Vol7.Iss1.1972.pp62-72

Abstract

This paper tries to show how Indonesian economic law has evolved via the emergence of the cyber notary idea. Notaries engage in various everyday tasks and activities in the fantastic world development, such as giving the clients the finest service possible and impacting the economy. According to the law, notaries are required to be able to help and support anyone who requires genuine written documentation of legal situations, events, or activities. This study employs qualitative approaches and descriptive analysis. Additionally, researchers are interested in the phenomenon that examines the idea of a cyber notary as a way to advance Indonesian commercial law. Qualitative research aims to conduct extremely thorough investigations that examine the research's findings in great detail. Both primary data and secondary data are employed as sources of information. The findings demonstrate that cyber notary adds value to electronic documents by legalising them, for example, in addition to digitising notarial operations. However, because many aspects need to be ready, its implementation will take some time. Article 1868 of the Indonesian Civil Code stipulates that a genuine deed is a deed in a certain form that has been prescribed by law and is made before a public authority.
Co-Authors Ag. Kirwanto Agnes Lorentina Br Sembiring Ahmad Kamal Sudrajat Alessandro Golfried Annasa Sabatia Annisa Annisa Rizki APRI KUNTARININGSIH Aprilli Dayanti Artanti Silitonga Asnawi Hidayat Azizah Nur Rochmah Bagus Kusuma Ardi, Bagus Kusuma Bambang Guritno Bayu Indah Syafinatu Zafi Bening Tri Suwasono Bingah Fitri Melati, Bingah Fitri Bismar Nasution BUDIMAN GINTING Cheesya Siska Adhiati Christopher Gustikho Danang Danang Delia Wahyu Pangesti Deta Sukarja Devi Nirmala Muthia Sayekti DIAN LESTARI Dian Meinar Dian Natasia Dimas Fattih Dini Permata Sari Dwi Listyorini Dyati Galuh Pratita Eko Siswanto Eko Sri Sulasmi Elhah Nailul Khasna Elyas Franklin Erick Erick Erni - Widajanti Evelyn Evelyn Evi Susanti Ezra Cyntia Febrian Rosadi Gunawan Sembiring HASIM PURBA Ikhsan Hidayat Ikhsan Lubis Jaelani Jaelani Jesica Pasaribu Junita Junita Keizerina Devi Khoirin Khoirin Kristania Felita Kurniawaty Kurniawaty Kwartaria Gultom Latief Abdul Maajid M. Ekaputra - Madiasa Ablisar Mahmul Siregar Malik Hamid Maruly Agustinus Maulana Ibrahim Mawaddah, K. Mega Riana Melissa Simanjuntak Mellisa Tandoko Merinda Oktaviana michael Nasution Murni Murni Sapta Sari Neng Annis Fathia Nikita Rizky NINGRUM NATASYA SIRAIT Nopianti Nopianti Nurdin, I Qhairul Manurung Rafly Timothy Rahmat Hasibuan Rezki Arafah Rido Sigit Wicaksono Rifka Dameyanti Riris Fatmawati Robert Robert Rumata Rosininta Sianya S Sugiman, S Sari, M. S. Sarwono Shafira Mayada Shindih Hersiva Siti Hidayah Siti Kholifah Sri Rosa Steven Simanjuntak Suharti Suherwin Suherwin Sukarja, Detania Sulisetijono Sulisetijono Suprayitno Suprayitno Supriyadi, Andhi Susanti Delina Susilo Yulianto Sutiarnoto - Sylvia Vietressia Sinuhaji Tahi Sitorus Tarsisius Murwadji Taufan Akbar Rifky Theofeni Yudea Tita Putri Milasari Tri Lubis Tri Murti Upsa Vision Wahyudi Ikhwal Wicaksono, Rido Sigit Widya Arisandy Wigrha Tommy Wiwin Renny Rahmawati