Claim Missing Document
Check
Articles

Found 3 Documents
Search

PERTANGGUNGJAWABAN PIDANA KORPORASI BERDASARKAN ASAS STRICT LIABILITY (STUDI PEMBAHARUAN HUKUM PIDANA LINGKUNGAN HIDUP) Kurniawan, Ridho; Sari D, Siti Nurul Intan
Jurnal Yuridis Vol 1, No 2 (2014): Jurnal Yuridis
Publisher : Fakultas Hukum Universitas Pembangunan Nasional "Veteran" Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (312.808 KB) | DOI: 10.35586/.v1i2.148

Abstract

Criminal responsibility adopted by the Indonesian criminal law and environmental law are regulated in Law Number 32/ 2009 on Environmental Protection and Management. The principle of fault liability based complicate law enforcement in the process of criminal evidence. Law Number 32/2009 on Environmental Protection and Management of the Environment has set a strict liability issue but nevertheless the strict liability only obligate to pay compensation in the event a civil lawsuit. Criminal law recognize the strict liability. Strict liability is defined as liability without fault is criminal liability without proof of fault further to the offender. In criminal cases involving corporate environment needs to be applied the principle of strict liability, so that the strict liability can be expanded application not only to the claim for damages in civil cases but can also be done in the legal protection of penal law, is expected with the integration of the law will be able to simplify the process of proving environmental crime by the corporation . This research aims to determine the corporate criminal liability based on the principle of Strict Liability and its implications of the application of strict liability corporation in the process of proving environmental crime.
Pengaruh Kelengkapan Data Pasang Surut Laut Terhadap Kualitas Hasil T_Tide Kurniawan, Ridho; Kushadiwijayanto, Arie Antasari; Risko, Risko
Jurnal Laut Khatulistiwa Vol 2, No 3 (2019): October 2019
Publisher : Dept. Marine Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/lkuntan.v2i3.34432

Abstract

Abstract: Pengaruh kelengkapan data terhadap kualitas hasil t_tide telah dikaji menggunakan data elevasi muka air laut yang diperoleh dari sofware Tidal Model Driver (TMD) di Selat MalakaTingkat kesalahan hasil analisis harmonik dan prediksi pasut oleh t_tide dihitung menggunakan root mean square dan distance error. Hasil penelitian menunjukkan bahwa analisis harmonik terbaik diperoleh apabila panjang data masukan adalah 45 hari pada periode pengukuran dari pasut purnama ke purnama. Prediksi terbaik didapatkan apabila panjang data 30 hari pada pengukuran dari pasut perbani ke perbani. Untuk data rusak teratur, hasil analisis harmonik terbaik didapatkan apabila panjang data 15 hari dengan kerusakan 5% dan periode pengukuran dari pasut purnama ke purnama. Sedangkan hasil prediksi terbaik, untuk data yang rusak teratur, diperoleh apabila panjang data masukan adalah 30 hari dengan persentase kerusakan sebesar 20% dan periode pengukuran dari pasut perbani ke perbani. Untuk data rusak acak, hasil analisis harmonik terbaik didapatkan apabila panjang data 60 hari dengan kerusakan 20% dan periode pengukuran dari pasut perbani ke perbani. Sedangkan hasil prediksi terbaik, untuk data yang rusak acak, diperoleh apabila panjang data masukan adalah 30 hari dengan persentase kerusakan sebesar 20% dan periode pengukuran dari pasut perbani ke perbani.
The Adoption of Blended Learning in Non-Formal Education Using Extended Technology Acceptance Model Kurniawan, Ridho; Pramana, Edwin; Budianto, Herman
Indonesian Journal of Information Systems Vol 4, No 1 (2021): August 2021
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v4i1.4415

Abstract

This study aims to determine the influencing factors for understanding the intention of the learners in Non-Formal Education to use Blended Learning. In addition, it aims to investigate the relationships of the factors in a theoretical model. This study was conducted due to the lack of research in the world that discusses the adoption of Blended Learning in Non-Formal Education in Developing Countries such as Indonesia. Blended Learning at Non-Formal Education in the Covid-19 era is needed because the education institution has a limited place to accommodate more learners. A questionnaire based on google form was used to collect data. A sample of 566 users of Blended Learning from Non-Formal Education Institutions in Indonesia were used.  All variables from the theoretical model are measured using existing scales.  Structural Equation Model (SEM) was used to analyze the theoretical model.  SPSS and Amos were used as the software tools. This research contributes to the theoretical understanding of Blended Learning adoption as well as practice and provide guidance for Non-Formal Education to successfully implementing Blended Learning in their institutions. From the thirteen initial hypotheses, there are nine significant hypotheses. Three hypotheses with the largest magnitude are SI -> PU, CE -> PEU, and PU -> BI.  SI is the most influencing factor in the adoption of blended learning at non-formal education institutions.