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Showing 15 articles found for "Illegal"

Bridging The Digital-Physical Divide: Transfer Learning For Unified Threat Correlation in Converged IT/OT/IOT Ecosystems

Dzreke, Simon Suwanzy
Abstract: The increased integration of operational technology (OT), Internet of Things (IoT), and business IT systems has allowed sophisticated attackers to circumvent isolated security features and launch cross-platform assaults.… Current fragmented techniques, with discrete detectors monitoring Modbus, Kubernetes, MQTT, or other domain-specific protocols, cannot handle cross-system risks. These methodologies overlook 68% of multi-vector marketing that uses both physical and digital channels. This study introduces a transfer learning architecture to integrate detection capabilities by correlating threats across protocols, devices, and settings. The architecture generates a unified feature space that extracts behavioral semantics from industrial control system logs, cloud telemetry, network traffic, and device-level signals to produce protocol-agnostic threat representations. Adversarial domain adaptation and semantic graph embeddings enable cross-domain knowledge transfer with minimum retraining. Security teams may now discover kill chains like infected cloud containers preceding illegal PLC command execution every 23 minutes. Validated against real-world attack datasets from water treatment facilities (OT) and cloud infrastructure (IT), the system achieved 93.4% cross-platform attack recall, a 41.3 percentage point improvement over prior methodologies. It reduced OT data labeling by 89% and false positives by 93.5%. This paradigm shift transforms threat correlation from a reactive, domain-specific process to adaptive intelligence, boosting resilience for critical infrastructure, industrial ecosystems, and smart environments facing cyber-physical hazards. The framework's practical validation in energy, industry, and vital infrastructure shows its importance in protecting an increasingly linked world.

PERTANGGUNGJAWABAN PIDANA TERHADAP PELAKU ILLEGAL LOGGING MENURUT HUKUM POSITIF DAN HUKUM ISLAM (Studi Kasus Perkara No: 532/Pid.Sus LH/2023/Pn.Jbi di Pengadilan Negeri Jambi)

Sugeng, Ruslan Abdul Gani, Rahmi Hidayati, Anis Malik Toha
Abstract: Penelitian ini membahas pertanggungjawaban pidana terhadap pelaku illegal logging dalam perspektif hukum positif dan hukum Islam, dengan studi kasus Perkara No. 532/Pid.Sus LH/2023/PN Jambi. Fenomena illegal logging di Indonesia,… ndonesia, khususnya di Provinsi Jambi, menimbulkan kerusakan hutan, hilangnya fungsi ekosistem, serta pelanggaran hak masyarakat atas lingkungan hidup yang sehat. Dalam kerangka hukum positif, penegakan hukum terhadap pelaku illegal logging diatur dalam Undang-Undang Nomor 18 Tahun 2013 tentang Pencegahan dan Pemberantasan Pengrusakan Hutan, yang mengatur sanksi pidana penjara, denda, dan perampasan barang bukti. Namun, implementasi di lapangan menghadapi kendala, seperti keterbatasan aparat penegak hukum dan keterlibatan berbagai pihak. Dari perspektif hukum Islam, tindakan illegal logging dikategorikan sebagai jarimah ta’zir karena perusakan alam dipandang sebagai pelanggaran terhadap maqāṣid al-syarī‘ah, khususnya perlindungan jiwa, harta, dan kelestarian lingkungan. Putusan hakim dalam perkara ini dianalisis berdasarkan teori pertanggungjawaban pidana, teori putusan hakim, dan maqāṣid al-syarī‘ah untuk menilai sejauh mana keadilan substantif terwujud bagi pelaku maupun masyarakat. Hasil penelitian diharapkan memberi kontribusi pada pengembangan hukum pidana dan hukum Islam dalam menanggulangi tindak pidana illegal logging secara komprehensif.

CIVIL-MILITARY CORRIDOR RESILIENCE MODEL FOR INFRASTRUCTURE MANAGEMENT IN INDONESIA’S OUTERMOST BORDER ISLAND: EVIDENCE FROM MIANGAS ISLAND

G, Brantas Suharyo, Noonphakdee, Thamrongchai, Suksiengsri, Phongpincharn
Abstract: Infrastructure management in outermost border islands is not only a matter of physical development, but also a strategic issue related to sovereignty, community welfare, connectivity and national defence. This article examines… amines infrastructure management on Miangas Island, one of Indonesia’s northernmost outer islands bordering the Philippines. Although Miangas already has several basic and strategic infrastructures, including roads, an airport, a port, electricity facilities, clean water sources, telecommunications, health facilities and security infrastructure, these assets have not yet functioned as an integrated and reliable system. The main problem is therefore not the absence of infrastructure, but the gap between physical availability and functional performance. This study uses a qualitative descriptive-analytical approach based on field observation, semi-structured interviews and document review. Data were analysed using the Miles and Huberman model, supported by STEEP+M and SWOT analysis. The findings show that infrastructure management in Miangas is influenced by three main indicators: infrastructure availability and quality, connectivity and accessibility, and infrastructure sustainability. Internally, Miangas has strengths in its strategic geography, existing infrastructure assets, state institutional presence, social cohesion and strong national identity. However, these strengths are constrained by weak service quality, limited maintenance, unstable connectivity, a fragile local economy and inadequate maritime surveillance. Externally, Miangas benefits from national legal support, strategic policy status and Indonesia–Philippines cooperation, but faces threats from cross-border dependence, illegal fishing, border violations, environmental pressure and geopolitical sensitivity. The SWOT analysis places Miangas in the WO quadrant, meaning that external opportunities should first be used to overcome internal weaknesses. This article proposes the Civil-Military Corridor Resilience Model as an integrated framework that connects public services, logistics, energy, local markets, maritime security and territorial defence in one border resilience system.

SYNERGY OF PANCASILA AND POLITICS ON ECOLOGICAL CIVIC EDUCATION IN PUAY VILLAGE, PAPUA PROVINCE

Ode Jamal, Ade Sopyan Hadi, Mashita, Maya, Nesliani Paotonan, Barrang, Grand, Refas, Melianan Refasi
Abstract: In Indonesia, various disasters frequently occur, and in many cases, they are not solely caused by natural factors, but also by irresponsible human behavior and activities regarding the environment. These disasters include… de floods caused by illegal logging and indiscriminate waste disposal that clog waterways; forest fires often caused by land clearing by burning; and river pollution caused by untreated household and industrial waste. These conditions demonstrate that human behavior plays a significant role in exacerbating environmental damage and increasing the risk of disasters in various regions of Indonesia. The purpose of this study is to show data regarding the Synergy of Pancasila and Politics on Ecological Citizenship Education in Puay Village, Papua Province. The research method used in this study is a qualitative approach, while the type of research used is a case study. The results of this study show data that efforts to protect the environment which is part of the ecological citizenship carried out by the Puay Village community are by planting trees, cleaning the banks of Lake Sentani in Puay Village when commemorating the entry of the Gospel in Puay Village, and introducing the nature around Lake Sentani to students of SDN 5 Puay Village. The conclusion of this study is that the Puay Village community has contributed to protecting nature, especially the environment around Lake Sentani, which is the lifeblood of the Puay Village community.

THE ROLE OF “DETECTIVE DOCTORS” IN EXPOSING THE SKINCARE MAFIA: HEALTH COMMUNICATION TO RAISE PUBLIC AWARENESS

Talitha Carlen Anora Junus
Abstract: The beauty and skincare industry in Indonesia is growing rapidly and promising. However, behind this growth, there has been a revelation of numerous ingredients in skincare products that do not match their claims, with many… any containing harmful substances such as mercury, hydroquinone, and more. This issue began to surface when a beauty doctor, often referred to as the "Detective Doctor," examined and exposed skincare products suspected of being unregistered and containing dangerous ingredients. This research aims to analyze the role of health communication in raising public awareness about the skincare mafia practices through the role of the "Detective Doctor." The method used is qualitative descriptive analysis with case studies of several campaigns conducted by the "Detective Doctor" on social media and other public channels. The results show that the "Detective Doctor" not only reveals dangerous skincare products through scientific research but also plays a role in delivering information to the public via accessible communication platforms such as social media and podcasts. This campaign successfully increased public awareness of the importance of choosing safe beauty products, as well as the importance of verifying skincare product ingredients. This research highlights the significant role of health communication in combating illegal practices in the beauty industry and demonstrates how the "Detective Doctor" can be an agent of change in public health education.

THE INFLUENCE OF DIGITAL LITERACY, FINANCIAL LITERACY, GENDER, AND FEAR OF MISSING OUT (FOMO) ON STOCK INVESTMENT DECISIONS WITH INFORMATION DISCLOSURE AS A MEDIATING VARIABLE AMONG GENERATIONS Y AND Z IN WEST JAVA

Rina Herlina, Erna Puji Hartanti
Abstract: The This study is based on the phenomenon of increasing investment losses and FOMO (Fear of Missing Out) in Indonesia, with illegal investment losses amounting to IDR 139 trillion and FOMO among young people rising to 80%… % by 2024. This trend aligns with the growing number of investors and digital literacy in Indonesia, particularly in Java, which has the highest concentration of investors. The large population of Generations Y and Z in West Java serves as the subject of this research, highlighting the gap between financial literacy (56.10%) and financial inclusion (88.31%). This reinforces the urgency of this study. Information disclosure is considered crucial in reducing information asymmetry and managing risk in investment decision-making. The main objective of this study is to examine the direct and indirect effects of digital literacy, financial literacy, gender, and FOMO on stock investment decisions, as well as to test the role of information disclosure. A quantitative approach is used, with a questionnaire distributed to 443 respondents from Generations Y and Z in West Java, all of whom have investment experience in stocks. The purposive sampling technique was used, and data analysis was conducted using Structural Equation Modeling-Partial Least Squares (SEM-PLS) to test model validity, reliability, and relationships between variables. The results show that digital literacy, financial literacy, gender, and FOMO significantly affect stock investment decisions. Information disclosure mediates the relationship between financial literacy, gender, and FOMO on investment decisions but does not mediate the relationship between digital literacy and investment decisions. Furthermore, information disclosure positively influences stock investment decisions, emphasizing the importance of transparency. This study contributes to the development of a theoretical model that highlights the role of market discipline through information disclosure. Practically, the findings can guide OJK and companies in designing digital-financial literacy programs and improving information transparency to prevent investment fraud and increase investor confidence. The study suggests that investors should enhance their understanding of investment risks and critically assess available information. Limitations include the focus on Generations Y and Z in West Java using purposive sampling, and the exclusion of other factors like education. The self-report quantitative method may lead to bias, and cross-sectional data does not capture changes in investment behavior over time. Future research is recommended to expand the demographic sample, include additional variables, and use a mixed-method approach for more comprehensive results.

Upaya-upaya yang Dilakukan Polisi Air Polda Bali dalam Mencegah Masuknya Imigran Gelap

Andi Alfian Hedar, Sobandi, Komang Edy Darma Saputra
Abstract: Indonesia, as an archipelagic country, holds a geographically strategic position while also being vulnerable to various forms of transnational crimes, including the entry of illegal immigrants via maritime routes. Law enforcement… forcement in maritime areas presents its own challenges due to the need to monitor vast territories, limited facilities and infrastructure, as well as the complex modus operandi employed by illegal immigration offenders. In this context, the Water Police (Pol-Air) serves as the main actor in maintaining maritime security and order, particularly in efforts to prevent the entry of illegal immigrants. This study aims to analyze the strategies and actions undertaken by Pol-Air in performing this function, as well as to evaluate the obstacles faced. The research method used is normative legal research with a qualitative approach, through analysis of existing laws and regulations as well as empirical practices in the field. The results of the study indicate that Pol-Air conducts various preventive measures, such as routine sea patrols in vulnerable areas, the use of maritime surveillance technology, improvement of personnel competencies, and public dissemination of immigration law among coastal communities as a form of participatory prevention. In addition, Pol-Air also engages in cross-sectoral coordination with relevant agencies to strengthen institutional synergy. Nevertheless, the implementation of Pol-Air's duties still faces structural and operational challenges, such as budget limitations, lack of integrated information systems, and weak law enforcement against human smuggling networks. Therefore, a reformulation of policies is needed to support institutional strengthening and sustainable inter-agency collaboration.

Penerapan Metode Clustering Dengan Algoritma K-Means Tindak Kejahatan Pencurian di Kabupaten Asahan

Syahpitri Damanik, Nur Afni, Irianto, Irianto, Dahriansah, Dahriansah
Abstract: Abstract:Theft is the illegal taking of property or belongings of another person without the permission of the owner. The most common crime problem in Asahan District is theft, so that the POLRES is still having trouble… determining which areas are often the crime of theft. With this problem, we need to do a grouping for areas where theft often occurs, so the process used  is the data mining process. Data mining is one of the processes of Knowledge Discovery from Databases (KDD). KDD is an activity that includes collecting, using historical data to find regularities, patterns or relationships in large data sets. One of the techniques known in data mining is clustering technique. The K-Means method is a method for clustering techniques, K- Means is a method that partitions data into groups so that data with the same characteristics are entered into the same set of groups and data with different characteristics are grouped into other groups. The attributes used in grouping this data are annual data, namely 2015, 2016, 2017, 2018, 2019. A case study of 9 POLSEK in the Asahan.   Keywords: Data Mining, Clustering, K-Means Algorithm, Theft Crimes Grouping.     Abstrak: Pencurian merupakan pengambilan properti atau barang milik orang lain secara tidak sah tanpa ijin dari pemilik. Masalah tindak kejahatan yang paling banyak terjadi di Kabupaten Asahan adalah tindak kejahatan pencurian sehingga pihak POLRES masih kesulitan untuk menentukan daerah mana saja yang sering terjadi tindak kejahatan pencuriaan. Dengan adanya masalah ini kita perlu melakukan pengelompokan untuk daerah mana saja yang sering terjadi tindak pencurian maka proses yang digunakan adalah proses data mining. Data mining adalah salah satu proses dari Knowledge Discovery from Databases (KDD). KDD adalah kegiatan yang meliputi pengumpulan, pemakaian data, historis untuk menemukan keteraturan, pola atau hubungan dalam set data besar. Salah satu teknik yang di kenal dalam data mining adalah teknik clustering. Metode K-Means merupakan metode untuk teknik clustering, K-Means adalah metode yang mempartisi data kedalam kelompok sehingga data berkarakteristik sama dimasukan kedalam set kelompok yang sama dan data yang berkerakteristik berbeda dikelompokkan ke dalam kelompok yang lain. Atribut yang di gunakan dalam pengelomokan data ini adalah data pertahun yaitu tahun 2015, 2016, 2017, 2018, 2019. Studi kasus pada 9 POLSEK yang ada di daerah kabupaten Asahan.   Kata kunci: Data Mining, Clustering, Algoritma K-Means, Pengelompokan Tindak Kejahatan  Pencurian.

The Prospect of Legalizing Casinos with Strict Regulations as a Strategy for Optimizing State Revenue and Social Control in Indonesia

Anisa
Abstract: The discourse on casino legalization in Indonesia arises as a response to the widespread illegal gambling that remains difficult to eradicate despite being prohibited under the Criminal Code (KUHP), Law No. 7 of 1974, and… d the Electronic Information and Transactions Law (ITE). The gap between legal norms (das sollen) and social reality (das sein) shows that prohibition alone has not been effective. This research uses a qualitative method with a normative juridical approach based on legislation and a comparative approach, particularly examining Malaysia and Singapore, which have successfully managed casinos through strict regulations. The findings indicate that casino legalization in Indonesia could serve as an alternative fiscal policy, provided that clear regulations are established, ensuring economic benefits such as increased state revenue and effective control over illegal gambling, without undermining national morals and values.

Judicial Reasoning in Sidoarjo District Court Decision No. 199/Pid.Sus/2023: Corporate Criminal Liability in Environmental Crimes

Samsul Hadi, Dudik Djaja Sidarta, Renda Aranggraeni, M. Yustino Aribawa
Abstract: This study analyzes the judicial reasoning behind Putusan Pengadilan Negeri Sidoarjo No. 199/Pid.Sus/2023/PN Sda, a landmark decision involving corporate criminal liability for environmental violations in Indonesia. The… case centers on PT Surya Prima Semesta’s illegal disposal of hazardous waste (fly ash and bottom ash) without an environmental permit, resulting in the prosecution of its corporate director. Employing a normative juridical method, the research examines the court’s application of doctrines such as strict liability and identification theory within the framework of Law No. 32 of 2009 on Environmental Protection and Management. The findings show that the court adopted a formalistic, text-based legal reasoning model, treating permit violations as inherently punishable acts regardless of actual environmental harm. While the decision reinforces regulatory compliance and affirms corporate culpability, it lacks engagement with broader organizational responsibility and foundational environmental law principles like the precautionary principle and sustainability. This study argues for a more integrated doctrinal approach one that balances rule-based logic with value-oriented reasoning to enhance legal consistency, advance environmental justice, and align Indonesia’s corporate accountability framework with international standards.