JURNAL ILMIAH NUSANTARA

ETIKA PROFESI KEJAKSAAN DAN TUGAS KOMISI KEJAKSAAN DALAM PENEGAKAN KODE ETIK DAN PENGAWASAN KINERJA JAKSA

Laylatin Khoyrica Aris — 2025-03-08

The Prosecutor’s Office is a state institution with the authority to prosecute and a vital role in law enforcement in Indonesia. Based on Law Number 16 of 2004 concerning the Prosecutor’s Office of the Republic of Indonesia, this institution is responsible for upholding law and justice through investigation, prosecution, and execution of court decisions. As a key pillar of the judicial system, the Prosecutor’s Office is required to operate professionally, transparently, and with integrity to maintain public trust in law enforcement institutions. In carrying out their duties, prosecutors must adhere to a code of ethics covering personal ethics, ethics in duty execution, ethics in public service, and ethical interactions with colleagues. This ethical framework is designed to prevent abuse of authority and ensure that prosecutors work in accordance with high legal and moral standards. To ensure compliance with these ethical standards, the Prosecutorial Commission of the Republic of Indonesia plays a crucial role in overseeing prosecutorial performance and enforcing ethical guidelines. The commission is responsible for receiving and addressing public complaints, monitoring prosecutors' conduct, and providing recommendations regarding ethical and disciplinary violations. This study employs a normative juridical approach by analyzing legal regulations related to prosecutorial ethics. Primary data sources consist of various regulations and laws governing the Prosecutor’s Office and its ethical code, while secondary data sources include literature, journals, and relevant books. The findings of this research are expected to provide deeper insights into the implementation of prosecutorial ethics and the role of the Prosecutorial Commission in maintaining prosecutorial professionalism and accountability within Indonesia’s judicial system.

MENINGKATKAN KETERAMPILAN BERBICARA (SPEECH DELAY) PADA ANAK USIA DINI DENGAN METODE BERNYANYI DI PAUD FARHANY KHAIR

Syifaushudur Harefa — 2025-03-17

This study is a qualitative descriptive research aimed at analyzing and describing strategies for handling children with speech delay through the implementation of the singing method at PAUD Farhany Khair. The research method employed is field research with a qualitative descriptive approach, allowing the researcher to gain an in-depth understanding of the phenomenon being studied. The research subjects include the school principal, parents of children with speech delay, and educators involved in the learning process. Data collection was conducted through in-depth interviews and participatory observations to obtain comprehensive information. The results of this study indicate that the singing method can be an effective strategy for stimulating language development in children with speech delay. This method helps enhance children's attention, verbal responses, and engagement in communication, thereby positively impacting their speech development.

ANALISIS KESULITAN MEMBACA SISWA KELAS I SD BERDASARKAN PERSPEKTIF TEORI EKOLOGI BROFENBRENNER

Nugraha Nasution — 2025-03-21

Reading difficulties in first grade elementary school students are a challenge in the learning process, especially in understanding letters, syllables, and words. This study aims to analyze students' reading difficulties based on the perspective of Bronfenbrenner's ecological theory, which highlights the influence of the environment on individual development. This study uses a qualitative approach with a case study method conducted at UPT SD Negeri 060925 Medan. Data were collected through observation, reading tests, and interviews with four students who had reading difficulties. The results of the study indicate that environmental factors play a significant role in influencing students' reading abilities. The microsystem environment (family and school) influences literacy development through interactions with parents and teachers. Coordination between the home and school environments in the mesosystem also has an impact on the consistency of reading practices. In addition, the ecosystem and macrosystem, including reading culture in society and social expectations, play a role in shaping students' motivation. Chronosystem factors, such as curriculum changes and events in students' lives, also influence their reading development. The conclusion of this study emphasizes the importance of a holistic approach in dealing with first grade students' reading difficulties, by involving support from family, school, and community. Bronfenbrenner's ecological theory-based intervention can be an effective strategy in improving students' reading skills from an early age.

ANALISIS KINERJA MODEL MACHINE LEARNING UNTUK MENDETEKSI TRANSAKSI FRAUD PADA SISTEM PEMBAYARAN ONLINE

Maulana Malik Ibrahim — 2025-04-12

The rapid growth of digital transactions has led to an increase in fraudulent activities within online payment systems. Traditional fraud detection methods based on rule-based systems have limitations in identifying evolving fraud patterns. This study aims to analyze the performance of various Machine Learning (ML) models in detecting fraudulent transactions using the Online Payment Fraud Detection Dataset from Kaggle. The models tested include Logistic Regression, Decision Tree, Random Forest, XGBoost, Support Vector Machine (SVM), and Bidirectional Long Short-Term Memory (BiLSTM). The study also evaluates the impact of data balancing techniques, namely Synthetic Minority Oversampling Technique (SMOTE) and Random Undersampling, on model performance. The results indicate that XGBoost and BiLSTM achieved the highest F1-scores of 88% and 90%, respectively, with SMOTE significantly improving recall rates. These findings suggest that ML can be effectively applied to financial security systems, with XGBoost being more suitable for real-time fraud detection, while BiLSTM excels in identifying complex transaction patterns. Future research should focus on optimizing computational efficiency and exploring Explainable AI techniques to enhance model interpretability.