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All Journal ACADEMOS Jurnal Hukum dan Tatanan Sosial Saturnus: Jurnal Teknologi dan Sistem Informasi
Nur Azizah Hidayat
Unknown Affiliation
Computer Science & IT Law, Crime, Criminology & Criminal Justice

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Penerapan Keadilan Restoratif Pada Kasus Kekerasan Dalam Rumah Tangga Azizana, Zeniza Mar; Nur Azizah Hidayat
Academos Vol 2 No 1 (2023): ACADEMOS Jurnal Hukum dan Tatanan Sosial
Publisher : Faculty of Law, University of Muhammadiyaha Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aca.v2i1.15297

Abstract

Domestic violence is a problem that has not abated. Many countries currently use a system of applying restorative justice in the completion of the criminal justice process to handle cases of domestic violence. According to Law Number 23 of 2004 concerning the Elimination of Domestic Violence, it proves that the settlement of domestic violence cases emphasizes how sanctions against perpetrators are criminal in nature but the preventive, protective, and consolidation objectives have not been fulfilled. The purpose of this study is to find out how criminal policy in Indonesia is in resolving domestic violence, to whether the application of restorative justice is appropriate for use in criminal justice in Indonesia while still referring to the legislation. This research is a normative juridical research that uses a statutory and conceptual approach. The results of this study indicate that the criminal law policy in Indonesia in the case of domestic violence has not shown a restorative approach. Which only focuses on criminal sanctions only.Keywords: Domestic violence, Crime, Restorative Justice  
Penerapan Keadilan Restoratif Pada Kasus Kekerasan Dalam Rumah Tangga Azizana, Zeniza Mar; Nur Azizah Hidayat
Academos Vol 2 No 1 (2023): ACADEMOS Jurnal Hukum dan Tatanan Sosial
Publisher : Faculty of Law, University of Muhammadiyaha Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aca.v2i1.15297

Abstract

Domestic violence is a problem that has not abated. Many countries currently use a system of applying restorative justice in the completion of the criminal justice process to handle cases of domestic violence. According to Law Number 23 of 2004 concerning the Elimination of Domestic Violence, it proves that the settlement of domestic violence cases emphasizes how sanctions against perpetrators are criminal in nature but the preventive, protective, and consolidation objectives have not been fulfilled. The purpose of this study is to find out how criminal policy in Indonesia is in resolving domestic violence, to whether the application of restorative justice is appropriate for use in criminal justice in Indonesia while still referring to the legislation. This research is a normative juridical research that uses a statutory and conceptual approach. The results of this study indicate that the criminal law policy in Indonesia in the case of domestic violence has not shown a restorative approach. Which only focuses on criminal sanctions only.Keywords: Domestic violence, Crime, Restorative Justice  
Penerapan Jaringan Saraf Tiruan untuk Mengelolah Data Perubahan Cuaca sebagai Dasar Prediksi Kondisi Iklim Winda Yunia Purnama; Lailan Sofinah Harahap; Nur Azizah Hidayat
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 1 (2025): Januari: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i1.1258

Abstract

This study aims to analyze the application of Deep Neural Networks (DNN) as an artificial intelligence approach in processing weather data to support more accurate and stable climate predictions. Increasingly unpredictable and fluctuating weather patterns demand modern analytical methods capable of capturing non-linear relationships among atmospheric variables. DNN is utilized due to its ability to learn complex data structures through multilayer representations that extract deeper features from input variables. Weather data such as temperature, humidity, rainfall, air pressure, and wind speed are processed through several preprocessing stages to ensure optimal model performance. This research employs a descriptive qualitative method based on literature studies to examine the role of DNN in weather prediction systems. The findings indicate that DNN demonstrates strong generalization abilities, robustness to fluctuating data, and more stable predictive outputs compared to conventional statistical approaches. Thus, DNN is considered a promising component for the development of early warning systems and modern data-driven climate analysis, offering improved reliability in understanding and forecasting atmospheric conditions.
Co-Authors Azizana, Zeniza Mar Lailan Sofinah Harahap Winda Yunia Purnama