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JURIDICAL ANALYSIS OF DECISION NUMBER 27/PDT. G/2019/PN. TBK AGAINST LAWSUITS FOR UNLAWFUL ACTS ON MEANS OF TRANSPORT CONFISCATED BY THE STATE Ramadhan, Handika; Ansari , Muhammad Insa; Adli , Muhammad
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 2 No. 2 (2025): Vol. 2 No. 2 Edisi April 2025
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v2i2.787

Abstract

Article 109 paragraph (2) of Law Number 17 of 2006 concerning Amendments to Law Number 10 of 1995 concerning Customs regulates that means of transport that are solely used to commit criminal acts can be confiscated for the state. Decision Number 102/Pid.Sus/2019/PN.Tbk stated that the means of transporting the MT Yosoa ship were confiscated for the state and in Decision Number 27/Pdt.G/2019/PN.Tbk, the judge ruled that the Tanjung Balai Karimun District Prosecutor's Office Cq. Public Prosecutor had committed an unlawful act. The purpose of the research is to analyze the judge's consideration of the lawsuit for unlawful acts, and the extent of Decision Number 27/PDT. G/2019/PN. Tbk influences the legal interpretation of unlawful acts, as well as the ownership status of MT YOSOA ships that have been decided to be confiscated by the state. This research is a normative juridical research. Data is collected and then analyzed qualitatively. The results of the research show that the judge's decision has weaknesses in legal considerations which results in legal uncertainty and injustice for the parties. In addition, there are inconsistencies in assessing the evidence of ship ownership and elements of unlawful acts, this decision also shows weaknesses in determining liability, due to the lack of parties involved in the lawsuit. It is recommended that the judge be more careful in considering all aspects of the law and exploring the material truth thoroughly. All interested parties must be involved in the lawsuit so that accountability can be clearly established.
Metode Deskriptif Analitis dalam Pengembangan Efektivitas Sistem Informasi Manajemen Lembur Berbasis Autentikasi Logout Ramadhan, Handika; Putri, Pingkan Dwi Fransisca Yukinori Kistia; Triyana, Annisa; Supriyatna, Samso
Jurnal Riset Informatika dan Inovasi Vol 3 No 9 (2026): JRIIN : Jurnal Riset Informatika dan Inovasi (INPRESS)
Publisher : shofanah Media Berkah

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Abstract

Implementasi sistem informasi manajemen lembur berbasis autentikasi logout telah diterapkan di Perusahaan Aviansia sebagai upaya meningkatkan ketertiban dan akurasi pencatatan jam kerja tambahan karyawan. Meskipun sistem tersebut telah digunakan selama enam bulan, dalam praktiknya masih ditemukan sejumlah permasalahan yang memengaruhi efektivitasnya. Digitalisasi yang diterapkan masih terbatas pada proses pencatatan lembur, sementara pengolahan data lanjutan belum terintegrasi dengan sistem penggajian dan manajemen sumber daya manusia. Penelitian ini bertujuan untuk mengevaluasi tingkat efektivitas sistem informasi manajemen lembur berbasis autentikasi logout serta mengidentifikasi kendala yang dihadapi pengguna dalam proses operasionalnya. Metode penelitian yang digunakan adalah metode deskriptif analitis dengan pendekatan campuran, yaitu pengumpulan data kuantitatif melalui kuesioner dan data kualitatif melalui wawancara dengan pihak manajemen dan karyawan. Berdasarkan hasil analisis, sistem lembur yang diterapkan belum mampu mendukung proses manajerial.
Data Collection for Nearest Public Facility Using Ball Tree Algorithm and Google Maps API Ramadhan, Handika
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.541

Abstract

Accessibility to public facilities is a crucial factor in regional development, includingat the village level as the smallest administrative unit. The Central Bureau of Statistics (BPS)currently collects data on public facilities and their distances to village offices throughinterviews, making the results dependent on respondents’ perceptions. This research aims tomeasure the nearest distance from village offices to public schools by utilizing the BallTreealgorithm and the Google Maps API. The dataset consists of 128 village offices and a list ofpublic schools classified into four categories. BallTree was used to filter the nearest schoolcandidates within a given radius, after which the route distance of the ten nearest candidates wascalculated using the Google Maps Distance Matrix API to identify the school with the nearestroute distance based on the road network. The findings show that straight-line distance oftenaligns with route distance, although not at all, highlighting the importance of Google Maps routecalculation. This research concludes that combining BallTree and the Google Maps APIimproves computational efficiency while providing objective and reliable information.