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Analisis Pasal 40 Undang-Undang KPK: Dampak Penghentian Penyidikan Setelah Dua Tahun Terhadap Efektivitas Pemberantasan Korupsi Saputri, Devita; Hartanto, Hartanto
VIVA THEMIS Vol 8, No 1 (2025): VIVA THEMIS
Publisher : Universitas Sang Bumi Ruwa Jurai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24967/vt.v8i1.3755

Abstract

The law against corruption is one of the main priorities in Indonesia. Article 40 of Law. No. 19 of 2019 authorizes the Corruption Eradication Commission (KPK) to stop investigations that are not completed within two years by issuing a Letter of Termination of Investigation (SP3). This study aims to analyse the impact of the implementation of Article 40 on the effectiveness of corruption eradication in Indonesia. Using qualitative research methods and a descriptive-analytical approach, the results of the study show that this provision provides legal certainty, but also creates a dilemma in resolving complex corruption cases. Technical obstacles, limited resources, and the potential for misuse of regulations are significant challenges in the implementation of Article 40. This study recommends the need for policy evaluation and revision to support efforts to eradicate corruption effectively without sacrificing the principle of justice
Review of Sexual Violence Against Children: Reality, Impact, and Protection Efforts Saputri, Devita; Putri, Wulan Julianti; Kaya, Axcell Ezhalio Melvin; Saputra, Febriyan; Kadir, Syukron Abdul
Formosa Journal of Sustainable Research Vol. 3 No. 4 (2024): April, 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjsr.v3i4.8778

Abstract

The reality of sexual violence against children in Indonesia has become a serious issue that requires joint attention and action. Data shows a high number of cases, although many incidents are not reported. For example, the case in Way Serdang, Mesuji Regency, where a father had sexual intercourse with his pregnant biological child, illustrates the complexity of this problem. The impact of sexual violence on children includes profound psychological, social, and physical consequences, such as PTSD, behavioral disorders, and social stigma. Protection and prevention efforts must involve the government, child protection institutions and the community. Education, strong regulations and changing social norms are key to creating a safe environment for children. Early detection, the role of child protection institutions, and collaborative efforts across sectors are important strategies in overcoming the complex challenges of preventing sexual violence. Education and increased awareness are needed to change public perceptions, as well as investment in resources and research to support effective prevention efforts
Klasifikasi Jenis Tanaman Obat Herbal Berdasarkan Ciri Daun Menggunakan K-NN Meilani, Cindy; Ambarwati, Rizki; Saputri, Devita; Fujianto
Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) Vol. 3 No. 2 (2025): JURNAL PENGEMBANGAN TEKNOLOGI INFORMASI DAN KOMUNIAKSI (JUPTIK)
Publisher : Prodi Teknologi Informasi Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/juptik.v3i2.3028

Abstract

Indonesia has a variety of abundant plants, including medicinal plants. However, many people still do not know about the types of herbal medicinal plants that exist. The process of identifying types of herbal medicinal plants generally relies on the knowledge of botanists with manual methods, which rely on morphological characteristics and vision. With advances in technology, leaf image recognition can be done using computer vision methods. This study aims to identify types of herbal medicinal plants based on leaf image patterns using the K-Nearest Neighbors (K-NN) method. The identification process begins with taking leaf images, then feature extraction is carried out to distinguish plant types. The results of the study show that the K-NN method can provide a fairly good level of accuracy in identifying types of medicinal plants. This system is expected to help the public recognize medicinal plants more effectively and expand knowledge about the benefits of herbal plants. Thus, the application of leaf image recognition technology can be a solution in conserving knowledge about medicinal plants in Indonesia.