Crime Cases Research Articles

Corporate Involvement In People Trafficking Cases (Analysis of East Jakarta District Court Decision Number: 289/Pid.Sus/2020/PN Jkt.Tim)

The research objective in this research report is to find out the position of corporations in criminal liability for human trafficking in trafficking cases(Analysis of East Jakarta District Court Decision Number: 289/Pid.Sus/2020/PN Jkt.Tim)and to find out howLegal certainty for victims of the crime of human trafficking committed by PT. Hassindo Karya Niaga (Analysis of the East Jakarta District Court Decision Number: 289/Pid.Sus/2020/PN Jkt.Tim).The research method used is a normative juridical method where data sources come from court decisions, books and journals and the internet. The research approach used in this research is a qualitative approach. The results of this research are pActions carried out by PT. Hassindo Karya Niaga is a criminal act of human trafficking as well asthere is no legal certainty for victims of the PT Person Trafficking Crime case. Hassindo Karya Niaga due to the absence of implementation of the provision of restitution for victims contained in the decision. Actions carried out by PT. Hassindo Karya Niaga and its work constitute a criminal act of human trafficking. There is no legal certainty for victims of TIP cases committed by PT. Hassindo Karya Niaga due to the lack of implementation of the right to compensation (restitution) obtained by victims of criminal acts of human trafficking. East Jakarta District Court Decision Number: 289/Pid.Sus/2020/PN Jkt.Tim)and howLegal certainty for victims of the crime of human trafficking committed by PT. Hassindo Karya Niaga (Analysis of East Jakarta District Court Decision Number: 289/Pid.Sus/2020/PN Jkt.Tim).

Symbiotic Justice: Hate Crimes, Police Humiliation, and Layered Legal Consciousness in Dalit Human Rights

This article responds to scholarly critiques, which highlight the failures of hate crime legislation in delivering justice to historically oppressed groups. Drawing on ethnographic data on the mobilisation of India's only hate crime law – the Prevention of Atrocities (PoA) Act– among Dalit (untouchable) communities, the article proposes that the potential of hate crime law to create a restitution must be analysed in conversation with other social justice frameworks. In India, Dalit legal aid advocates interweave hate crime cases with a culturally specific discourse of Dalit human rights. By strategically bringing “failed” PoA investigations before India's National Human Rights Commission (NHRC), Dalit advocates hold the police accountable for negligent investigations, while also creating collective affects of hope for survivors of casteist crimes. This process, which I call symbiotic justice, engenders a form of legal consciousness, which regards hate crime law as a creative tool that can offer new avenues of agency.

Design and implementation of domestic dual-SIM telesecurity alarm system using voice code recognition

Violent crime cases which include, robbery, rape, and homicide are terribly on the rise, and the role of security in combating this menace cannot be overemphasized. This research presents a security device that aims at fighting violent crimes using voice recognition technology. The work also tends to solve the issue of network downtime when the user is out of reach for help in time of attack. In this work, a voice processing unit which comprises the condenser microphone, an amplifier, a shift register, and a timer was designed. The processing unit circuit was incorporated into microcontrollers which create Human-Device interaction and the GSM communication unit which is made up of two GSM modules. The two microcontrollers used in the design are PIC18F4520 and PIC16F873A. The microcontrollers were programmed with C++ using the MPLAB IDE software and the circuit simulation was done using Proteus Design Suite version 8. The result shows that the appropriate authority receives SMS whenever the pre-recorded code is mentioned. The result also shows that during network downtime, the second GSM module sends an SMS to the appropriate authority. Evaluating the performance of this work, it was observed that the device works best in a calm area compared to a noisy area. This work is designed to work in domestic areas like homes, offices, malls, and mainly areas free from so much noise. Therefore, this work has successfully reduced the crime rate in emergencies.

Fingerprint based smart door lock system using Arduino and smartphone application

In 2023, crime cases in Indonesia reached 105,133. Cases of theft with aggravation dominate the majority of cases. Everyone is concerned about safety, but doors are typically opened and closed using physical keys. This is vulnerable to being tampered with with fake keys, which can lead to house break-ins and theft. In this research, we propose a fingerprint-based wireless door lock design using Arduino and a smartphone. We offer this solution as a preventive measure to reduce the high rate of theft in homes or other buildings. The devices used are Arduino UNO R3, fingerprint sensor, HC-05 Bluetooth module, buzzer, and door lock solenoid. The results of the fingerprint-based wireless door lock using Arduino and a smartphone can function well, with an average response time of 1.20 seconds. Furthermore, testing the HC-05 Bluetooth when sending signals to a smartphone shows that it can read data accurately with an average response time of 1.54 seconds.

Fingerprint based smart door lock system using Arduino and smartphone application

In 2023, crime cases in Indonesia will reach 105,133. Cases of theft with aggravation dominate the majority of cases. Everyone is concerned about safety, but doors are typically opened and closed using physical keys. This is vulnerable to being tampered with with fake keys, which can lead to house break-ins and theft. In this research, we propose a fingerprint-based wireless door lock design using Arduino and a smartphone. We offer this solution as a preventive measure to reduce the high rate of theft in homes or other buildings. The devices used are Arduino UNO R3, fingerprint sensor, HC-05 Bluetooth module, buzzer, and door lock solenoid. The results of the fingerprint-based wireless door lock using Arduino and a smartphone can function well, with an average response time of 1.20 seconds. Furthermore, testing the HC-05 Bluetooth when sending signals to a smartphone shows that it can read data accurately with an average response time of 1.54 seconds.

Bird crime and the assessment of risk areas in Slovakia

Abstract Bird crime is a serious problem in many countries around the world. This study focuses on the situation in Slovakia, summarising data on bird crime in the country between 2016 and 2022. Over the course of that period, 92 cases were recorded in 27 districts involving 33 animal species. At least 249 protected birds and 78 mammals fell victim to illegal activities, and 61 poisoned baits were discovered. Social value is the monetary value which state institutions use to quantify the damage incurred to wildlife. Slovak law determines whether an illegal act is an offence or a criminal act based on the value of the incurred damage. The total social value of all of the protected animals as a result of illegal activities was estimated at € 696,250. Intentional poisoning, typically using carbofuran, was the most common of illegal act identified in the recorded cases, followed by shooting and trapping. An analysis of the recorded cases of bird crime was also used to assess the risk in each of Slovakia’s districts in relation to landscape structure variables. The percentage share of arable land was found to be a reliable predictor of bird crime, regardless of whether the birds had been poisoned or shot. These findings can help to develop better preventive inspections to detect bird crime incidents. We also recommended several management measures to help tackle bird crime more quickly and effectively.

Examining Crime-Specific and Crime-General Theories of Crime Causation at Place: The Case of Property and Violent Crime on Street Segments in Tel Aviv-Yafo

AbstractWe use data on street segments in Tel Aviv-Yafo to examine whether general or specific crime factors are key to understanding crime rates on street segments. We pose two questions. (1) What causal factors explain the property and violent crimes at the same locations? (2) What are the differences and similarities between the risk factors of the two crime types? Our study capitalizes on data drawn from the Israeli Central Bureau of Statistics (CBS) to identify social and opportunity data at the street segment level. The dependent variable is the average counts of violent and property crimes in Tel Aviv-Yafo between 2010 and 2014. Zero-inflated negative binomial (ZINB) regression explains violent and property crime variations. While many of the significant factors that explain crime are similar between the two crime types, there are also distinct criminogenic factors predicting violent and property crime. Overall, our results support the position of common or general crime causes at places, but at the same time, they suggest the importance of understanding specific causes for specific crime types.

Analysis of the Application of Unlawful Act Elements in Corruption Crime Cases against North Sulawesi Bank Debtors (Review of Decision Number 11/Pid.Sus-TPK/2021/PN Gto)

This research was conducted to determine the extent to which material criminal law was applied in the panel of judges' consideration of elements of unlawful acts in cases of criminal acts of corruption where the defendant was a debtor who had defaulted (bad credit) on his loan installments. Knowing the extent to which judges provide legal considerations using the lex specialist derogate generaly principle approach, as well as the existence of contradictions between Constitutional Court Decision Number 003/PUU-IV/2006 in the criminal justice practice order. The results of this research show that judges still apply unlawfulness in a positive function first without conducting an in-depth study and truly exploring whether the act is indeed an act that is considered evil and reprehensible to the wider community. Judges, in looking at the unlawful nature of material law, must consider the unlawful nature of the law in its negative function, not only in its positive function, so that actions carried out, even though they meet the formulation of an offense but do not violate negative material law, can be used as a justification that does not harm the state, does not benefit themselves, other people and corporations and the perpetrator's legal obligations are not subject to punishment.

Detention Of Suspects Under The Indonesian Criminal Law

The research aims to describe the provisions of Indonesian criminal law regarding the detention of suspects and to analyze the legal protection of suspects during detention in terms of Indonesian criminal law. This research is a normative legal research, which examines laws and regulations in a coherent legal system and legal values ??related to the detention of suspects in the study of Indonesian criminal law.
 The results of the study show that the provisions for detaining suspects are regulated in Article 1 point 21 of the Criminal Procedure Code of Criminal Procedure. While in detention, suspects can exercise their rights in accordance with articles 50 to 68 of the Criminal Procedure Code (KUHAP).l protection is always associated with the concept of rechtstaat or the concept of the Rule of Law because the birth of these concepts cannot be separated from the desire to provide recognition and protection of human rights. A suspect has rights at the time of detention that are guaranteed by law, such as the right to receive and read a Detention Warrant or a Judge's Order which lists the identity of the suspect or defendant and states the reasons for the detention and a brief description of the crime case being suspected or charged and the place where he is being detained in accordance with Article 21 paragraph (2) Criminal Procedure Code.

REFLECTION OF MEDIA IN VIOLENCE AGAINST WOMEN WITH SPECIAL REFERENCE TO LUCKNOW DISTRICT

Violence against women is a serious issue in various places including Lucknow. The shocking number of instances put a deep emphasis on the lives of women. Media can play a significant role in reducing the incidences by highlighting the issues. Due to its high reach in various forms like print, vocal, and presentation, the media can inform the citizens regarding the importance of healthy living. The study discusses the role of media in Women's empowerment and highlights the cases of crime against women. The study highlights and discusses the crimes being majorly faced by women in Lucknow. The researcher also verified the facts and figures through a survey data method of research. The study puts forth the reasons for these crimes and provides possible remedies by doing a thorough examination of statistical data, case studies, and social issues. It is anticipated that this article can help bring about good change in the situation surrounding the protection of women in Lucknow by shedding light on the many facets of the subject.

A Systematic Review on the use of Machine Learning and Deep Learning Techniques for Crime Prediction from Social Media

The goal of crime prediction is to help law enforcement authorities to prevent crimes before they happen by identifying and reducing potential future crimes. In present days, crime cases are rapidly occur so it is a challenging task to accurately predict and classify the future crimes, as criminal patterns are adaptable and constantly evolve, making it a challenging task. Sentiment analysis is essential for deciphering the feelings conveyed in text since social media has grown into a popular venue for individuals to communicate their thoughts, feelings, views, and comments. This analysis is particularly valuable for making informed decisions in business, politics and government agencies especially to identify crimes. However, it faces the difficulties like lexical diversity and dataset imbalance. In order to make better decisions and maybe lower the risk of predicting the suspects in a crime, early crime prediction has lately made use of Artificial Intelligence (AI) models like Deep Learning (DL) and Machine Learning (ML). When applied to crime data, ML and DL models may assist pinpoint possible crime hotspots and foretell when crimes may occur. Crime prediction and categorization using social media posts is covered in depth in this paper, which offers a comprehensive overview of several ML and DL frameworks. Initially, different ML and DL based crime prediction models designed by many researchers are examined in brief. The next step is to do a comparison research to learn about the shortcomings of those frameworks and provide an alternative method for effectively predicting crimes based on social media postings.

The competence of a judge is a guarantee of access to justice in war crimes cases

The competence of a judge is a guarantee of access to justice in war crimes cases

역량기반 전공교육을 위한 교과-비교과 연계 플립러닝 학습효과 분석

Objectives This study analyzed the learning effects of flipped learning linked to subject-matter subjects to strengthen the major abilities of students in the Department of Police Administration at K University. Specifically, flipped learning was used as a teaching and learning method in the 'Forensic Investigation' class, a major subject in the Department of Police Administration, and was linked to a non-curricular program operated by the Teaching and Learning Development Center on campus.
 Methods To this end, flipped learning using scientific investigation videos of actual crime cases was conducted for 13 weeks in the forensic science major subjects, and as a subject-related extracurricular program, a forensic investigator from the K Local Police Agency was invited to give a special lecture on the major, and on-campus teaching and learning was conducted. It is designed to enable participation in learning communities or tutoring conducted by the development center. In order to comprehensively analyze the major abilities of participating stu-dents, we conducted lecture evaluations and special lecture satisfaction surveys on flipped learning using criminal investigation series (forensic video), and conducted in-depth interviews about learning experiences using Colaizzi's phenomenological method. It was carried out.
 Results The lecture satisfaction level for ‘Forensic Investigation’ using flipped learning and subject-related ex-tra-curricular classes was 4.65, which was improved from the previous year’s class that did not apply the sub-ject-connected extra-curricular program, showing that there was an educational effect on the learning experience. In addition, as a result of analyzing the learning effect of flipped learning, four central meanings were derived: class attitude, communication ability, class performance, and improvements. Lastly, as a result of analyz-ing the satisfaction level and in-depth interviews with the non-curricular program linked to the major curriculum, it was confirmed that it was helpful in motivating police officers to join the police force and cultivating criminal in-vestigation capabilities.
 Conclusions This study conducted an analysis of the learning effect of 'Forensic Investigation' in the Department of Police Administration at K University, which was found to have a positive effect on improving the ability to utilize professional knowledge related to criminal investigation, self-directed learning ability, convergence ability, and communication ability, which are major abilities. It is valuable in that it contributed to breaking down the bounda-ries between major subject classes by overcoming the constraints of limited class time and enabling individual in-depth learning by linking flipped learning, a learner-centered teaching and learning method, with extra-curricular programs.

Crime Prediction using Machine Learning

The process of researching crime patterns and trends in order to find underlying issues and potential solutions to crime prevention is known as crime analysis. This includes using statistical analysis, geographic mapping, and other approaches of type and scope of crime in their areas. Crime analysis can also entail the creation of predictive models that use previous data to anticipate future crime tendencies. Law enforcement authorities can more efficiently allocate resources and target initiatives to reduce crime and increase public safety by evaluating crime data and finding trends. For prediction, this data was fed into algorithms such as Linear Regression and Random Forest. Using data from 2001 to 2016, crime-type projections are made for each state as well as all states in India. Simple visualisation charts are used to represent these predictions. One critical feature of these algorithms is identifying the trend-changing year in order to boost the accuracy of the predictions. The main aim is to predict crime cases from 2017 to 2020 by using the dataset from 2001 to 2016.

The Strength of Proof of MKDKI Decisions in Medical Crime Cases in Indonesia

<p><em>The aim of this research is to determine the evidentiary strength of MKDKI decisions in Medical Crime Cases in Indonesia. MKDKI has the main objective of protecting patient safety, maintaining the quality of service to patients, and also maintaining the honor of the profession of doctors and dentists, which is actualized in the form of a trial in the medical sphere to find out whether a doctor or dentist has made a mistake in applying medical discipline knowledge or not. , institutionally, MKDKI is an autonomous institution from the Indonesian Medical Council whose duties are independent and responsible to the Indonesian Medical Council, then KKI in carrying out its duties is responsible to the president. Complaints submitted to MKDKI act to eliminate the right of every person to report any alleged medical crime to an authorized party or filing a lawsuit for damages in court. The type used in this research is normative legal research. This type of research places more emphasis on answering existing legal problems or issues, and this research uses several approaches, namely the statutory approach, the conceptual approach. (conceptual approach) and case approach (case approach). The results of this research show that the evidentiary strength of the MKDKI Decision which can be used as documentary evidence in medical criminal cases is as follows: 1) issued by an authorized official or issued by an official institution, 2) the MKDKI decision is produced through a legal and legitimate process , and 3) proof at a trial at MKDKI is the same as in a proceeding using criminal procedural law; and the examination process and trial process are carried out in depth, and carried out by parties who are competent in their fields</em></p>

Correlating forensic data for enhanced network crime investigations: Techniques for packet sniffing, network forensics, and attack detection

<p class="MDPI18keywords">In today’s digitally saturated world, digital devices are frequently involved in criminal events as targets, mediums, or witnesses. Forensic investigations encompass the collection, recovery, analysis, and presentation of information stored on network devices, with specific relevance to network crimes. Such investigations often necessitate the use of diverse analysis tools and methods. This study introduces techniques that support digital investigators in correlating and presenting information derived from forensic data, with a primary focus on packet sniffing, network forensics, and attack detection. By leveraging these methodologies, investigators aim to achieve more valuable reconstructions of events or actions, resulting in enhanced case conclusions. The study emphasizes the importance of understanding how malware operates within the context of the Internet. It explores packet sniffing techniques to capture and analyze network data, enabling investigators to detect and trace the origins of malicious activities. Additionally, it delves into the realm of network forensics, proposing effective methods for gathering evidence from network devices and reconstructing digital events. Furthermore, the study covers the significance of attack detection in network crime investigations. It highlights techniques to identify and analyze attack patterns, facilitating the identification of perpetrators and their motivations. By correlating information obtained from forensic data, investigators can obtain comprehensive insights into the nature and impacts of network crimes. Overall, this study aims to arm digital investigators with the knowledge and tools necessary to navigate the complexities of packet sniffing, network forensics, and attack detection. By incorporating these techniques into their investigations, investigators can achieve more robust reconstructions of events, draw well-informed conclusions, and contribute to the successful resolution of network crime cases.</p>

LEGALITAS PERUBAHAN TUNTUTAN PADA JAWABAN PENUNTUT UMUM ATAS PLEDOOI TERDAKWA DARI PERSPEKTIF HUKUM ACARA PIDANA.

In making the prosecution letter, apart from being based on evidence to assess the trial facts which support the criminal act committed by the Defendant, the Public Prosecutor also refers to the prosecution guidelines. Even though the prosecution guidelines have been determined both in the Criminal Procedure Code and in the Attorney General's Guidelines Number 24 of 2021 concerning Handling of General Crime Cases, there is no discussion regarding the mechanism for changing the charges either immediately after reading the charges or after the Defendant or his Legal Counsel read the defense (pleidooi). The legal theory used is the Theory of Legal Certainty and the Theory of Prosecution Authority. The research method used in this research is a normative juridical approach which is supported by empirical juridical with detailed descriptions, namely a research that begins deductively with an analysis of the articles in statutory regulations related to the Legality of Changes to Claims in the Public Prosecutor's Answer to the Defendant's Pledooi from a Legal Perspective Criminal Procedure. Apart from that, premier data is also used as supporting legal material for secondary data. The legal material analysis technique used is a normative juridical method which aims to provide a prescriptive study with interpretive analysis. The research results show that legal capacity in Law no. 8 of 1980 concerning the Criminal Procedure Code which is implemented in the form of the Principle of Legality in formal criminal law (nullum iudicium sine lege) has been distorted due to changes in the substance of the demands by the Public Prosecutor in the Karawang District Court criminal case Number 256/Pid.Sus/ 2021/PN Kwg, which previously charged the defendant with imprisonment, now demands acquittal. The prosecution is not in line with the provisions of Article 3 of the Criminal Procedure Code which states that trials are carried out in the manner regulated in this law. The authority of the Prosecutor in the event that the Public Prosecutor changes the substance of the charges in the Karawang District Court criminal case Number 256/Pid.Sus/2021/PN Kwg, which previously charged the defendant with imprisonment to demand acquittal has not been accommodated by the Criminal Procedure Code. This is caused by the logical consequences of the provisions of Article 139 of the Criminal Procedure Code. In this provision, the Criminal Procedure Code has from the start given the authority to the Public Prosecutor to determine whether the case file meets the requirements to be able to be transferred to the Court or not. The Public Prosecutor is obliged to hand over the case to the Court with a request to immediately try the case. This is in line with the principle of actori incumbit onus probandi which is known in criminal evidence law.Top of Form

The disputed territories of information: The case of alleged war crimes during the Kosovo War

This article analyses participants’ sense-making and demonstrates procedural consequentially and relevance, and makes the data on which observations are based available to readers. By looking at a TV interview, in Albanian, of Hashim Thaçi, the former PM of Kosovo, given to respond to allegations against him regarding involvement in war crimes, the focus will be not only on what it is said but also on the epistemic positions occupied by the participants, with a particular interest in knowledge as a norm-governed domain and in the practices of language usage. We will highlight strategies like repetition, repair, code selection and code switching that are used by participants as a means to claim and govern knowledge. Such knowledge can become the basis of contestation and one speaker may seek to impose their knowledge of some facts or events over another’s and thereby establish a territory of knowledge in a series of moves, not entirely unlike the way that physical territory may be defended or attacked; held or occupied.

Особенности участия отдельных видов военных организаций в качестве органов дознания в уголовном судопроизводстве

The decision taken by the leadership of the Russian Federation to conduct a special military operation on the territory of Ukraine to denazify it, in addition to the expected negative reaction from the authorities of unfriendly countries, predetermined the growth of war crimes within our state. For this reason, recently there has been a rapid increase in criminal cases for war crimes. The purpose of criminal proceedings is to consider criminal cases of war crimes on the merits, ensure justice, restore violated legal rights and interests, punish criminals and acquit the innocent. A large number of participants are involved in this process. Military organizations are important actors in criminal proceedings related to the consideration of criminal cases of war crimes. In this study, the author would like to address the issue of the specifics of the participation of military organizations in the criminal proceedings of the Russian Federation. The article reveals the features of the participation of mili-tary organizations in criminal proceedings as bodies of inquiry, identifies existing problems in this area, and formulates recommendations.

Phenomenom Cyber Crime in Indonesia in the Digitalization Era

Science and technology are increasingly developing rapidly and advancing, offering various interactions in human life. Information and communication technology continues to develop in the digital era, especially the internet, which has a big influence on people's life patterns. The development of the internet has triggered the emergence of a type of cyber crime which is usually known as Cyber Crime. Various cases of cyber crime (Cyber Crime) have emerged in Indonesia, especially in the banking sector. In the following years until now, in Indonesia there have been many incidents of Cyber Crime, for example computer program piracy, cracking, bank burglary (banking fraud), unauthorized use of other parties' credit cards (carding), pornography, including crimes against domain names (domain names). Cyber Crime could happen because unlimited internet access. Apart from that, computer user negligence is also often the cause of this Cyber Crime. This is something that is often overlooked, namely a weak network security system. In fact, a weak network security system creates a big loophole for people who intend to commit crimes. Currently, what is used as the legal basis for Cyber ??Crime cases in Indonesia isLaw Number 11 of 2008 concerning Information and Electronic Transactions (ITE). The ITE Law consists of 13 chapters and 54 articles which explain in detail the rules for living in cyberspace and the transactions that occur therein. Prohibited acts (cybercrime) are explained in Chapter VII (Articles 27-37)