Dwi Ardiyanti
Universitas Potensi Utama

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Demokrasi, Penegakan Hukum dan Politik Identitas di Indonesia Dwi Ardiyanti; Anastasia Meilin Gita Permata Laia; M. Hafiz Nabiyyin
Resolusi: Jurnal Sosial Politik Vol 2 No 2 (2019)
Publisher : Department of Political Science - Universitas Sains Al-Qur’an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/resolusi.v2i2.974

Abstract

The freedom of speech in Indonesia is one of characteristics of the well-runned democracy. Every citizen from any race, tribe, and religion is free to deliver their idea. This research focuses on the law enforcement especially to minority of Chinese tribe and the use of politics of identity in case of Meiliana in 2016. This research aims to explore and analyze the phenomenon of weakness in law enforcement especially for minority tribes in Indonesia as a democratic country. The method used in this research is literature research using qualitative data obtained from secondary resources such as books, journals, articles, and interviews posted in official websites. Moreover, the research strives to analyze some concepts and theory of politics of identity, and democracy.
Denormalization of the Global Order during the Covid 19 Pandemic and Its Impact on the Industrial Era 4.0 Dwi Ardiyanti; Fitriana Harahap
Resolusi: Jurnal Sosial Politik Vol 4 No 1 (2021)
Publisher : Department of Political Science - Universitas Sains Al-Qur’an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/resolusi.v4i1.1814

Abstract

This paper is a response from the shift of the global order that had focused on the mandate of international organizations to become more and more parties who played an important role in handling the Covid-19 pandemic, even at the level of the grassroots movement. This research focuses on increasing the use of digital access during the pandemic. The authors try to convey his analysis of the shift in the global order and its impact in the industrial era 4.0. The authors also analyze the challenges faced in using digital post Covid-19. This paper departs from the existence of a new phenomenon that emerged during the Covid 19 pandemic around the world, namely the learning from home, work from home, as well as everything new in the digitization system which then becomes a new normal behavior globally. The purpose of this paper is to analyze and explain the impact of the Covid 19 pandemic in the era of industry 4.0, both in the challenges to the potential for digitalization.
Penerapan Metode Certainty Factor Dalam Mengidentifikasi Penyakit Dari Bakteri Neisseria Gonorrheae Khairani Puspita; Dwi Ardiyanti
Jurnal VOI (Voice Of Informatics) Vol 7, No 1 (2018)
Publisher : STMIK Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Gonore (GO) didefinisikan sebagai infeksi bakteri yang disebabkan oleh kuman Neisseria gonorrhoea,suatu diplokokus gram negatif. Infeksi umumnya terjadi pada aktivitas seksual secara genito-genital, namun dapat juga kontak seksual secara oro-genital dan ano-genital. Pada laki-laki umumnya menyebabkan uretritis akut,sementara pada perempuan menyebabkan servisitis yang mungkin saja asimtomatik.Neisseria Gonorrheae merupakan bakteri  yang menyebabkan penyakit yang menular. Penyakit yang dapat diakibatkan oleh bakteri ini diantaranya adalah uretritis (radang uretra) pada pria , cervicitis pada wanita dan konjungtivitis atau radang selaput mata pada bayi. Penyakit tersebut dapat disebarkan melalui hubungan seks yang bergonta – ganti pasangan. Sistem Pakar (Expert System) adalah suatu program komputer cerdas yang menggunakan knowledge (pengetahuan) dan prosedur inferensi untuk menyelesaikan masalah yang cukup sulit sehingga membutuhkan seorang yang ahli untuk menyelesaikannya. Semakin banyak pengetahuan yang dimasukkan kedalam sistem pakar, maka sistem tersebut akan semakin bertindak sehingga hampir menyerupai pakar sebenarnya. Diharapkan sistem yang dibangun ini dapat memberi kemudahan bagi masyarakat dalam mengidentifikasi gejala bakteri neisseria gonorrheae.  Kata kunci—Sistem Pakar , Metode Certainty Factor, Neisseria gonorrhea