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All Journal NOTARIUS PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic
Muhamad Azhar, Muhamad
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Law, Crime, Criminology & Criminal Justice

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RELEVANSI ASAS-ASAS UMUM PEMERINTAHAN YANG BAIK DALAM SISTEM PENYELENGGARAAN ADMINISTRASI NEGARA Azhar, Muhamad
Notarius Vol 8, No 2 (2015): Notarius
Publisher : Magister Kenotariatan Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (83.051 KB) | DOI: 10.14710/nts.v8i2.10260

Abstract

Penelelitian ini bertujuan untuk mengetahui relevansi penerapan asas asas umum pemerintahan yang baik dalam sistem pemerintahan negara kesatuan Republik Indonesia, khususnya melakukan kajian terhadap mulai berlakunya Undang-undang nomor 30 Tahun 2015Tentang Administrasi Pemerintaha.  Penelitian merupakan penelitian hukum normative yang dilakukan melalui pendekatan statutory approach dan conceptual approach. Setelah mengunakan pendekatan tersebut data akan dianalisis dengan menggunakan analisis sinstesi. Hasil penelitian disimpulkan bahwa asas asas umum pemerintahan yang baik merupakan ‘ruh’ bagi terselenggarannya administrasi pemerintahan negara republic Indonesia, khususnya dalam rangka terselenggaran pemerintahan bersih yang berdasarkan pada kemanfaatan, keadilan dan kepastian hukum.     Kata Kunci    : Asas Hukum, AUPB, Administrasi, Pemerintahan
PENAFSIRAN CIDERA JANJI OLEH MAHKAMAH KONSTITUSI TERKAIT EKSEKUSI JAMINAN FIDUSIA DAN IMPLIKASINYA Maulana, Agung Pitra; Azhar, Muhamad
Notarius Vol 13, No 2 (2020): Notarius
Publisher : Magister Kenotariatan Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (765.045 KB) | DOI: 10.14710/nts.v13i2.31165

Abstract

PENGARUH MONEY POLITIC DALAM PEMILIHAN ANGGOTA LEGISLATIF TERHADAP KEBERLANGSUNGAN DEMOKRASI DI INDONESIA Nabila, Nisa; Prananingtyas, Paramita; Azhar, Muhamad
Notarius Vol 13, No 1 (2020): Notarius
Publisher : Magister Kenotariatan Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (576.304 KB) | DOI: 10.14710/nts.v13i1.29169

Abstract

Marketplace Sentiment Analysis Using Naive Bayes And Support Vector Machine Azhar, Muhamad; Hafidz, Noor; Rudianto, Biktra; Gata, Windu
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 8 No 2 (2020): September 2020
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v8i2.2272

Abstract

Abstract Technology implementation in the marketplace world has attracted the attention of researchers to analyze the reviews from customers. The Klik Indomaret application page on GooglePlay is one application that can be used to get information on review data collection. However, getting information on consumer’s opinion or review is not an easy task and need a specific method in categorizing or grouping these reviews into certain groups, i.e. positive or negative reviews. The sentiment analysis study of a review application in GooglePlay is still rare. Therefore, this paper analysis the customer’s sentiment from klikindomaret app using Naive Bayes Classifier (NB) algorithm that is compared to Support Vector Machine (SVM) as well as optimizing the Feature Selection (FS) using the Particle Swarm Optimization method. The results for NB without using FS optimization were 69.74% for accuracy and 0.518 for Area Under Curve (AUC) and for SVM without using FS optimization were 81.21% for accuracy and 0.896 for AUC. While the results of cross-validation NB with FS are 75.21% for accuracy and 0.598 for AUC and cross-validation of SVM with FS is 81.84% for accuracy and 0.898 for AUC, while there is an increase when using the Feature Selection (FS) Particle Swarm Optimization and also the modeling algorithm SVM has a higher value compared to NB for the dataset used in this study. Keywords: Naive Bayes, Particle Swarm Optimization, Support Vector Machine, Feature Selection, Consumer Review.
Pertanggungjawaban Pidana Korporasi Atas Pencemaran Lingkungan Hidup Wijaya, Hendra; Santoso, Budi; Azhar, Muhamad
Notarius Vol 14, No 1 (2021): Notarius
Publisher : Magister Kenotariatan Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/nts.v14i1.38863

Abstract

Abstract The purpose of this research is to identify juridical arrangements regarding the crime of environmental pollution in Indonesia and to specifically examine the responsibility for environmental pollution crime according to Law No. 32 of 2009 concerning Environmental Protection and Management. By using normative legal research methods, it can be concluded, that: 1. How environmental pollution is carried out by Corporations, 2. In terms of criminal liability for environmental pollution, the parties that can be accounted for are not only individuals, but also corporation such as for example a business entity. This is confirmed in Articles 116-118 of Law No. 32 of 2009.  Keywords : environment; responsibility; corporation; pollution AbstrakTujuan dilakukannya penelitian ini adalah untuk mengidentifikasi mengenai pengaturan yuridis mengenai tindak pidana pencemaran lingkungan di Indonesia dan untuk secara spesifik mengkaji mengenai pertanggungjawaban atas tindak pidana pencemaran lingkungan menurut Undang-undang No 32 Tahun 2009 Tentang Perlindungan dan Pengelolaan Lingkungan Hidup. Dengan menggunakan metode penelitian hukum normatif, maka dapat disimpulkan, bahwa : 1. Bagaimana terjadinya pencemaran lingkungan hidup yang dilakukan oleh Korporasi, 2. Dalam hal pertanggungjawaban pidana tindak pidana pencemaran lingkungan hidup, pihak-pihak yang dapat dipertanggungjawabkan tidak hanya orang perorangan, tetapi juga korporasi seperti contohnya suatu badan usaha. Hal ini dipertegas dalam Pasal 116-118 Undang-Undang No. 32 Tahun 2009.  Kata kunci : lingkungan hidup; pertanggungjawaban; korporasi; pencemaran
Co-Authors Dwi Budi Santoso Gata, Windu Hafidz, Noor Hendra Wijaya Maulana, Agung Pitra Nabila, Nisa Paramita Prananingtyas Rudianto, Biktra