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Kriminalisasi Berbasis Hak Asasi Manusia Dalam Undang-Undang Bidang Lingkungan Hidup Ali, Mahrus; Hafid, Irwan
JURNAL USM LAW REVIEW Vol. 5 No. 1 (2022): MAY
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/julr.v5i1.4890

Abstract

Upaya kriminalisasi yang dilakukan melalui proses legislasi, tidak hanya sekedar membatasi perilaku tetapi juga memberi ancaman hukuman bagi pelanggarnya. Mengingat urgensi kriminalisasi adalah pembatasan hak, maka legislatif dalam merumuskan suatu perbuatan sebagai tindak pidana harus mengacu pada prinsip-prinsip pembatasan hak asasi manusia. Penelitian ini bertujuan menganalisis diskursus teoretik tentang kriminalisasi berbasis hak asasi manusia dalam undang-undang bidang lingkungan hidup. Sebagai penelitian hukum normatif dengan pendekatan konseptual dan perundang-undangan, penelitian ini menyimpulkan bahwa proses penetapan suatu perbuatan sebagai tindak pidana oleh negara harus sesuai dengan batas kemampuan hukum pidana. Kriminalisasi merupakan tindakan kekuasaan negara yang paling mengganggu terhadap kebebasan perilaku sosial masyarakat. Rumusan kriminalisasi dalam undang-undang bidang lingkungan hidup telah merefleksikan prinsip tujuan yang sah dalam hukum, tetapi belum sepenuhnya mencerminkan prinsip pembatasan berdasarkan kebutuhan masyarakat yang demokratis. Kajian ini berkaitan dengan prinsip proporsionalitas dan ultimum remidium dalam hukum pidana. Penelitian ini merekomendasikan agar kriminalisasi undang-undang bidang lingkungan hidup perlu mengakomodasi prinsip pembatasan hak asasi manusia.
Deepfakes and Victimology: Exploring the Impact of Digital Manipulation on Victims Ali, Mahrus; Fernando, Zico Junius; Huda, Chairul; Mahmutarom, Mahmutarom
Susbtantive Justice International Journal of Law Vol 8 No 1 (2025): Substantive Justice International Journal of Law
Publisher : Faculty of Law, Universitas Muslim Indonesia, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56087/substantivejustice.v8i1.306

Abstract

In the rapidly evolving era of information technology, the emergence of "deepfakes" hyper-realistic digital manipulations powered by artificial intelligence has introduced complex and pressing challenges to the field of victimology. These synthetic media are increasingly used for cybercrime, online harassment, defamation, and disinformation, leading to serious psychological, reputational, and legal consequences for victims. This study employs a normative legal research method that integrates conceptual, comparative, and futuristic approaches. The conceptual approach explores the legal and psychosocial dimensions of digital victimization; the comparative approach identifies legal responses in various jurisdictions; while the futuristic approach is used to predict the trajectory of deepfake threats based on AI development trends and emerging digital behaviors. Unlike previous generalist analyses, this research provides concrete findings: it identifies four dominant forms of digital exploitation through deepfakes namely non-consensual pornography, political disinformation, financial scams, and reputational sabotage. The study also reveals that psychological trauma, reputational harm, and repeat victimization are the most pressing victimological issues in deepfake cases. By applying content analysis to real-world cases, this paper builds a framework for understanding how deepfakes transform the victim–offender dynamic, and it proposes forward-looking strategies for legal reform, victim protection, and digital literacy. This study contributes to filling the current academic gap by offering a victim-centered perspective on the legal and psychosocial consequences of synthetic media, thereby promoting more inclusive and adaptive responses in the face of evolving digital threats.
Protecting the Religious Belief: A Study on the Blasphemy Laws Across Jurisdictions and Religions Ali, Mahrus; Al-Fahad, Hamad Faisal; Prabowo, M Shidqon; Wibawa, I Putu Sastra; Harefa, Beniharmoni; Sanjaya, Aditya Wiguna
Contemporary Issues on Interfaith Law and Society Vol. 4 No. 1 (2025): Intersections of Religious Diversity, Legal Frameworks, and Human Rights
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ciils.v4i1.25521

Abstract

The purpose of this article is to examines legal and religious dimensions of blasphemy in the provisions of Penal Code of Indonesia, Kuwaiti law correspond to the established principles of Islamic, Christianity, and Hinduism. This is through employing a critical and comparative approach, the study compares the foundational of Penal Code of Indonesia and the Kuwaiti legislation as well as Islamic Sharia, Christianity and Hinduism, identifying areas of overlap in criminalizing offenses against religious belief. The paper found that the Penal Code of Indonesia criminalizes incitement or coercion aimed at making others abandon their religion or belief through violence or threats, while Kuwaiti law largely reflects the Sharia based prohibition of conduct deemed offensive to sacred values. The underlying philosophies behind the criminalization of blasphemy in Islamic Sharia, Penal Code Kuwaiti law, may differ in their foundational justifications, they join on a shared notion, to protect religious thoughts and prevent the incitement of discord and hatred under freedom of expression. From the Christianity perspective, Christians are taught not only to forgive, pray for, and bless the offender, but also, if needed, to pursue legal avenues as provided by national laws. Hinduism places greater importance on maintaining fraternal relationships among humans being than on defending the honour of the religion or its deities. If an act is deemed blasphemous according to the law of the state, the recommended course of action in Hinduism is to restore spiritual balance through a ritual of atonement known as Prayascitta.
Implementasi Sistem E-Learning Pada Lembaga Kursus dan Pelatihan di Istikom Jombang Sucipto, Hadi; Ali, Mahrus; Mujianto, Ahmad Heru; Kristianto, Hery
Dinamis: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2023): Desember 2023
Publisher : Universitas Hasyim Asy'ari Tebuireng Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/dinamis.v3i2.5390

Abstract

Tujuan Pengabdian Masyarakat ini adalah membuat e-learning yang dirancang untuk kebutuhan e-learning di Lembaga Kursus dan Pelatihan Keterampilan ISTIKOM Jombang dan menyusun aplikasi e-learning yang akan digunakan oleh pengguna yaitu instruktur, staff dan peserta didik berdasarkan skenario pembelajaran online. Metode yang di pakai adalah survey, pembuatan program aplikasi, pelatihan instruktur, staf dan admin lembaga, pengembangan dan testing sistem dan implementasi sistem. Hasil dari pengabdian kepada masyarakat ini adalah aplikasi E-Learning Lembaga Kursus dan Pelatihan berbasis web
DETEKSI MINAT BELI PELANGGAN TERHADAP PRODUK PAKET INTERNET MENGGUNAKAN ALGORITMA NAÏVE BAYES CLASSIFIER Syahrul Mubarok, Ahmad; Rahman Prehanto, Dedy; Ali, Mahrus
Inovate Vol 3 No 2 (2019): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v3i2.737

Abstract

The need for communication technology that can find out the customer's buying interest is something that isneeded by the company, the goal is that the company can obtain consideration regarding product sales andappropriately take a policy regarding pricing of a product, the amount of product supply and so on. The naïvebayes classifier method is sufficient to be able to find out how much the customer's buying interest in aninternet package product is by analyzing the results of past sales, meaning that the Naive Bayes algorithmcan predict future opportunities based on past experience, by defining each class from all attribute. The naivebayes classification is assumed that there is or not a certain feature and a class has nothing to do with othercharacteristics and classes. This study defines several characteristics, namely operator, quota, active periodand product price. From the results of this study is the author can find the value of accuracy from the resultsof calculating interest and not by comparing the results of predictions with actual results outside the trainingdata. Based on data on internet package product sales as training data, the Naive Bayes method successfullyclassifies 10 product data with 858 transaction data as training data and 10 product data with 115 transactiondata as test data. From the analysis of all test data and training data, the truth ratio is 8/10, which is 8 out of10 products with predictive values that are of true value. So that the accuracy value is 80% and to find outthe customer's buying interest by calculating the sales data that has been past with the provisions and inaccordance with the specified label, the results of this prediction are expected to be a better policyconsideration for the sales business.Keywords: naïve bayes classifier, sales of internet package products.
Analisa Pemberdayaan media online sebagai penunjang Informasi keislaman oleh lembaga pesantren di jombang Ali, Mahrus
Inovate Vol 1 No 1 (2016): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v1i1.748

Abstract

Ditahun 2015 ini teknologi informasi sangat mengalami perkembangan yang pesat baik teknologi websitemaupun aplikasi media social yang dijalankan melaui handphone dan komputer, seperti android yang sudahmewabah pada ponsel dengan harga yang sangat terjangkau. Akan tetapi dengan seiringnya perkembanganteknologi Informasi sampai pada tahun ini, apakah diiringi juga dengan kondisi ilmu pengetahuan danteknologi yang memadai?, dan apakah juga di iringi dengan kondisi psikologis masyarakat yang stabil di segalausia untuk mengkonsumsi teknologi informasi?. Khususnya pada konsumer teknologi diusia remaja yangmengalami kondisi psikologis yang mengalami fluktuatif dan rasa ingin tahu yang lebih, khususnya remajamuslim yang berdomisili dipesantren.Namun data yang dihimpun oleh We Are Social, adalah sebuah agensi marketing sosial, mengeluarkan laporantahunan mengenai data jumlah pengguna website, mobile, dan media sosial dari seluruh dunia. 72,7 jutapengguna aktif internet 72 juta pengguna aktif media sosial, 62 penggunanya mengakses media sosialmenggunakan perangkat mobile, 308,2 juta pengguna handphone. Namun lembaga masyarakat yang berbauislami, sudah menerapkan kajian islam baik lewat media social maupun website lembaga tersebut, akan tetapiyang disayangkan, kementerian Komunikasi dan Informasi pernah membuat kebijakan menghapus 22 situs islam yang ada di Indonesia, dengan alasan website tersebut telah menjadi provokator untuk menjadi terorisatau islam radikal. Oleh Karena itu apakah lembaga pesantren sudah mengikuti perkembangan teknologiInformasi dalam mewadahi kajian Islami sesuai dengan undang-undang ITE yang ada di Indonesia?. Akan tetapidari data peneliti saat ini lembaga pesantren di jombang belum optimal menggunakan Teknologi Informasisebagai wadah untuk menginformasikan atau membuat kajian islam online. Kata Kunci : Etika, Media online, Informasi, Pesantren
IMPLEMENTASI NAÏVE BAYES PADA SISTEM INFORMASI PEMBAYARAN SEKOLAH BERBASIS WEB DI SEKOLAH MENENGAH KEJURUAN NEGERI 1 JOMBANG Supriyanto, Supriyanto; Imam Agung, Achmad; Ali, Mahrus
Inovate Vol 7 No 2 (2023): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v7i2.3054

Abstract

The storage of all data, both in the form of information or documents, used to only use books that were stored manually in document storage cabinets, which of course needed more space, but since the development of technology now uses databases to store school payment data. This research was conducted at SMK Negeri 1 Jombang. The calculation process uses the naïve Bayes method to classify each student transaction that is paid off and not yet paid off. The results of this study are in the form of a web-based school payment information system which is expected to facilitate transactions at SMK Negeri 1 Jombang, especially in the administration sector, and to classify every student transaction that is paid off and not yet paid off. The research aims to build a computerized system that can help process transactions. The research used the action research method. There are four stages in this research method, namely: planning, action, observation and reflection. From the accuracy test, the system that has been built is 100% accurate. Keywords: Information Systems, naïve bayes, school payments
Rancang Bangun Aplikasi Ealah E- Learning Pengenalan Perograman Dasar Berbasiss Web Dengan Menggunakan Algoritma Edit Distance Pada Koreksi Otomatis Jawaban Essay Firmanda Himawan, Ahmad; Dwi Nuryana, I Kadek; Ali, Mahrus
Inovate Vol 5 No 2 (2021): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v5i2.3119

Abstract

E-learning is an innovative learning medium that must be optimized, so that education delivery will continue to develop. By using E-learning, the problems of space and time that have been an obstacle in learning are no longer a barrier. Apart from that, the existence of e-learning which has the feature of being able to correct essay answers automatically is felt to be able to help teachers to provide grades to students, and students can learn independently and can get more learning material and can communicate with teachers outside the classroom. In this research the USDP (unified software development process) method, Edit Distance algorithm, and Cosine Simmiliarity are used to match the students' answers with the teacher's answer key, the counting process starts from Text prepocessing, Case floading, filtering, and tokenizing, then processing of Edit Distance and Cosine Simmiliarity. The results of this study are in the form of a web-based e-learning application which is expected to help learning, especially for teachers, to make it easy to give grades to students in exams or essay assignments. In the tests conducted by the author with data from 5 essay questions along with the answer keys and student answer data, and the authors conducted 2 application tests using the same data by applying the edit distance algorithm the value = 94.98 while without the edit distance algorithm it got a value of = 78, 04 and the difference in value = 16.94 from the total value = 100. Keywords: E-learning, USDP, unified software development process, Cosine Simmiliarity, Edit Distance, Levenstein Distance, Essay Automatic Correction.
Rekayasa Sistem Pendukung Keputusan Dengan Algoritma ID3 Dalam Penentuan Jurusan Akademik (Studi Kasus : SMA Negeri 3 Ngajuk) Prasetiyo, Rinto; Sujatmiko, Bambang; Ali, Mahrus
Inovate Vol 7 No 1 (2022): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v7i1.3677

Abstract

Designation is the process of selecting and determining the interest of students in the subject area or skill competency offered by the education unit. The majors process at SMA Negeri 3 Nganjuk begins when the student has been accepted by the school, after which the student takes a major test. In the majors at SMA Negeri 3 Nganjuk, the majors process still uses Microsoft Excel so it takes a long time for majoring students. Because of that, we need a system that can process students effectively and efficiently. The ID3 algorithm is widely used to solve various majors problems. The solution in the ID3 algorithm is based on mathematical calculations that determine the entropy and gain values ​​used in the formation of a decision tree. The ID3 algorithm produces a decision tree that is good enough to be used in majors because this algorithm can solve multi-criteria and multi-objective problems. The results of this study indicate that the manual calculation needs to be shortened in the calculation of the program so that it can produce a majors flow. If it is not shortened it will result in an error in the program. The results of calculating 100 sample data in the first result produce a total entropy of 0.8813, in the second calculation it produces a total entropy of 0.9403, in the third calculation it produces a total entropy of 0.9367. After that a rule is formed which is used as a benchmark for student majors. The final result of the majors shows that the students' scores resulted in more students entering the social studies department than the Mathematics and Natural Sciences majors. Keywords: Pointing, Value, ID3 Algorithm
Dashboard Penerimaan Mahasiswa Baru Unhasy Dengan Algoritma Naïve Bayes Classifier Ali, Mahrus
Inovate Vol 5 No 2 (2021): Maret
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v5i2.4163

Abstract

Every university certainly expects the number of new student admissions (NSA) to always increase every year to improve the quality of the university. However, does the university carry out an analysis related to the input of new student admissions according to the classification. According to the results of research and research studies conducted by interviewing the new student admissions committee at Hasyim Asy'ari Tebuireng University, Jombang. Whereas every year there has not been a system created for classifying new students based on school origin, student address, school or madrasah level and achievement. Because the classification of this data is used as the main data to analyze the condition of new students who are accepted and used as material for evaluating the new student admissions committee (NSA) and determine strategies for recruiting new students the following year. effective way of clustering technique. The interface is built in the form of a web-based dashboard so that it can be accessed online on the campus intranet and can also be used as the main data for evaluating new student committees at Hasyim Asy'ari Tebuireng University Jombang. Keywords: Algoritma naïve bayes classifier, dashboard.
Co-Authors ,, Nurlina Abda Abda Abdul Kadir Abrori, M. Sayyidul Ach Tahir Ach. Tahir Achmad Imam Agung Akhmad Ferdiansyah, Akhmad Al-Fahad, Hamad F. Al-Fahad, Hamad Faisal Alien Meilani Suharti Amin Barokah, Nur Aminuyati Andhira Wardani Andriawan, Hilman Anita Andriani ANITA ANDRIANI, ANITA Argus Argus, Argus Ari Wibowo Arief Hidayatullah Khamainy Aries Dwi Indriyanti, Aries Dwi Aulia, Muhammad Zulfa Awalia Safinatunnajah Azizi, Irfan BAMBANG SUJATMIKO Beniharmoni Harefa Berta Putri Bimo Fajar Hantoro Budi Warsito Budi, Ahmad Setya Chairul Huda, Chairul Da Silva, Eugenia Brandao Dani, Putri Ulan Dedy Rahman Prehanto Dewi Seswita Zilda Dike Fransiska, Dike DIRGANTARA WICAKSONO Dwi Puji Hartono Dwi Saputra, Septian Eko Efendi eko efendi Ekowati Chasanah Ekowati Chasanah Faliha Muthmainah Farid, Luvena Azzahra Fernando, Zico Junius Firmanda Himawan, Ahmad Ghufron, Hammam Mustofa Gintung Patantis Hadi Sucipto Hadi Sucipto, Hadi Hafid, Irwan Hapzi Ali Hariyadi, Bambang Wicaksono Henni Wijayanti Maharani Hermawan Fornando, Hermawan Hidayah, Isbatul Himaya, Sidqi Aqdam Humamy, Raudhoh Fitra I Kadek Dwi Nuryana I Putu Sastra Wibawa Imania, Dina Indriawan, Fani Irhamudin, Irhamudin Irwan Hafid Ismawati, Rina Jaco Barkhuizen Jawahir Thontowi Kamelia, Alfina KHOIRUL ANAM Kristianto, Hery Kurnia Dewi Anggraeny Kurnia, Satya Laili, Elisa Nurul Limin Santoso M. Arif Setiawan Mahmutarom, Mahmutarom Maretha, Putri Fransiska Dina Mashuri, Chamdan Maulana, Wasikh Miftahul Ilmi, Miftahul Moh Muhaemin Muhammad Abdul Kholiq Muhammad Arif Setiawan Mujianto, Ahmad Heru Nada, Nabila Uzzah Qithrotun Nisa, Afifatun Nisak, Fauziatun Nooraini Dyah Rahmawati Nuning Mahmudah Noor NUR KHOLIFAH Nurhidayati, Titin Nurlina Nurlina Nurul Huda Nyoman Serikat Putra Jaya Oktarinaldi Irawan Papontee Teeraphan Pasa, Zelang Prabowo, Dwi Agus Prabowo, Galuh Prabowo, M Shidqon Prasetiyo, Rinto Pratiwi, Yeni Ika Pratiwi, Yeni Ika Priyan, Muhammad Febriyansah Satriyo Pujiyono Rachmania, Faridatul Rahmat Gernowo Rama Agus Mulyadi Reza Augusta Jannatul Firdaus Riskiadi Zain, M Rohman, Khabib Syaikhu Sakinah, Ummu Sanjaya, Aditya Wiguna SANJAYA, WAWAN Sari, Putri Maula Shaumia, Resi Siti Aimah Siti Basiroh, Siti Siti Hudaidah Soma Romadoni Sri Hastuti Puspitasari Sulthan, M Burhanis Supriyanto Supriyanto Syafiqah, Lu’luatus Syahrul Mubarok, Ahmad Taufik Hidayat Verdian, Aldi Huda Wahyudi, Dicki Wandik, Elsi Wicaksono Hariyadi, Bambang Widoyoningrum, Sri Wildan Syahamata Ady Winahyu Erwiningsih Yenny Risjani Zein Vitadiar, Tanhella