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PENGATURAN DAN RUANG LINGKUP CONTEMPT OF COURT DI INDONESIA Syarif Nurhidayat
Jurnal Ius Constituendum Vol 6, No 1 (2021): APRIL
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/jic.v6i1.2419

Abstract

Penelitian ini bertujuan memetakan kembali pengaturan dan ruang lingkup Contempt of Court (CoC) di Indonesia. CoC adalah istilah yang belum memiliki istilah yang sama persis dalam bahasa Indonesia. CoC sering disebut sebagai tindakan merendahkan otoritas atau keadilan. CoC lebih dipahami sebagai kejahatan, meskipun cakupannya harus lebih luas dari sekedar kejahatan. Ini membuatnya menarik dan penting untuk memetakan pengaturan perbuatan yang masuk kategori CoC dan pada saat yang sama memetakan ruang lingkupnya secara komprehensif. Penelitian ini merupakan penelitian normatif dengan pendekatan perundang-undangan dan konseptual. Berdasarkan hasil penelitian, setidaknya ada tiga peraturan yang mengatur tindakan CoC, yaitu Undang-Undang Hukum Pidana, Peraturan Mahkamah Agung, Hukum Pidana di luar KUHP, perturan persidangan, dan Kode Perilaku Hakim. Sebagai konsekuensi dari berbagai peraturan yang mengatur, ruang lingkup tindakan CoC dapat dipetakan menjadi tindakan di bidang etika, peraturan ketertiban, administrasi, dan pidana. Studi ini bermaksud memberikan gambaran besar tentang CoC sehingga diharapkan dapat menjadi acuan kebijakan penyusunan peraturan maupun penegakan hukum. 
Pertanggungjawaban Pidana Korporasi pada Pembakaran Lahan Berdasarkan Teori Strict Liability Syarif Nurhidayat; Arif Rusman Sutiana
Undang: Jurnal Hukum Vol 1 No 1 (2018)
Publisher : Fakultas Hukum Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (155.908 KB) | DOI: 10.22437/ujh.1.1.43-63

Abstract

Burning of land is often done and become a corporate policy to reduce production costs. Although corporations have long been recognized as subjects of criminal law, proof of land-burning in practice is extremely difficult. This study intends to analyze whether corporations can be criminally accountable for the crime of burning land as stipulated in Article 108 Environmental Protection and Management Law (UUPPLH) based on the theory of strict liability? This research is normative research, collecting data is done by studying the literature and then the presentation is arranged in the form of descriptive qualitative. This study uses a conceptual and statute approach. The results show that corporations are normatively irresponsible criminal for the crime of burning of land based on the theory of strict liability, because in UUPPLH regulate that corporate liability with strict liability principle is very limited, only on material compensation, not on criminal liability. In the case of PT Surya Panen Subur (SPS), based on facts revealed in the trial did not prove to be an act of burning, but only the fact that there was a burning land. However, the judge stated that PT SPS was guilty based on the application of strict liability principles. Thus, the judge did not consider the decision carefully. In the future, consideration should be given to extending the application of the strict liability principle to the losses resulting from land fires. Abstrak Pembakaran lahan seringkali dilakukan dan menjadi kebijakan korporasi untuk mengurangi biaya produksi. Meski korporasi sudah menjadi subjek hukum pidana, pembuktiannya dalam praktek sangat sulit, termasuk dalam kejahatan pembakaran lahan. Artikel ini membahas apakah korporasi dapat turut dipertanggungjawabkan pidana terhadap tindak pidana pembakaran lahan sebagaimana diatur dalam Pasal 108 UU Perlindungan dan Pengelolaan Lingkungan Hidup (UUPPLH) berdasarkan teori strict liability. Penelitian ini bersifat normatif, pengumpulan data dengan mengkaji kepustakaan dan kemudian penyajian dilakukan dalam bentuk deskriptif kualitatif dengan pendekatan konseptual dan perundang-undangan. Hasil penelitian menunjukkan bahwa korporasi secara normatif tidak dapat dimintai pertanggungjawaban pidana atas tindak pidana pembakaran lahan, karena UUPPLH mengatur pertanggungjawaban korporasi dengan prinsip strict liability sangat terbatas, yaitu hanya pada penggantian kerugian materiil keperdataan dan bukan pada pertanggungjawaban yang bersifat pidana. Pada kasus PT Surya Panen Subur (SPS), berdasarkan fakta yang terungkap dalam persidangan tidak terbukti unsur perbuatan membakar, melainkan hanya fakta bahwa ada lahan terbakar. Meski demikian, hakim tetap menyatakan PT SPS bersalah berdasarkan prinsip strict liability. Dengan demikian, hakim tidak cermat dalam pertimbanganya. Ke depan, perlu dipertimbangkan perluasan penerapan prinsip strict liability atas akibat dari kebakaran lahan.
Pengembangan Aplikasi Mobile untuk Pembukuan dan Kasir Usaha Laundry dengan Metode User-Centered Design Ricky Reza Ananda; Syarif Hidayat
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3446

Abstract

Laundromat is a general business that can be found around where we live, this kind of business is also part of micro, small and medium enterprise. On the operation of a business should include a bookkeeping process that usefull for monitoring financial flow from the business itself. As the technology advances, the bookkeeping process can be done within our smartphone. Therefore the goal of this study is to make a mobile application called LaPlus for the bookkeeping process and also include POS system. User centered design is a method that will be used on this study because the users is our main focus to make a good application that satisfy the users need. With the result of 89% success rate on the usability testing its shows the product design is easily understood and accepted by its users.
Identifikasi Ujaran Kebencian Multilabel Pada Teks Twitter Berbahasa Indonesia Menggunakan Convolution Neural Network Aditya Perwira Joan Dwitama; Syarif Hidayat
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 2 (2021): Desember 2021
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i2.3610

Abstract

There has been a significant increase in communication activities between internet users in online media due to the increase in social media users. For instance, Twitter users may send messages via their tweets. However, tweets can also contain negative meanings. Therefore, it deserves special attention as it has the potential to contain hate speech. Even the government deems it necessary to publish regulations to deal with hate speech cases such as the Information and Electronic Transactions Law (ITE Law) issued in 2018 Article 28 paragraph 2 of the Hate Speech. Machine Learning (ML) is one of the techniques that can be used in identifying patterns. There are various types of data that ML can be applied to, including text (known as Text Analytic). Previous research has used the Support Vector Machine (SVM) method to identify hate speech on Twitter text with more than one label (multilabel). The purpose of this study was to identify hate speech on Twitter with a label of more than one (multilabel) via Convolutional Neural Network (CNN). The study obtained the best CNN model with an accuracy of 98.76% from the multi-label dataset on hate speech in Indonesian texts