Article Per Year (5 Year)
p-Index From 2021 - 2026
7.307
P-Index
This Author published in this journals
All Journal JURNAL MAGISTER HUKUM UDAYANA JOURNAL OF COASTAL DEVELOPMENT AGRIKA DE JURE Pandecta Maspari Journal Veritas et Justitia Jurnal Media Hukum AJIE (Asian Journal of Innovation and Entrepreneurship) Jurnal Hukum Novelty Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Hukum IUS QUIA IUSTUM Jurnal Konstitusi Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Squalen Bulletin of Marine and Fisheries Postharvest and Biotechnology Jurnal Ius Constituendum Substantive Justice International Journal of Law Aquasains : Jurnal Ilmu Perikanan dan Sumberdaya Perairan e-Jurnal Rekayasa dan Teknologi Budidaya Perairan Undang: Jurnal Hukum Bina Hukum Lingkungan Martabe : Jurnal Pengabdian Kepada Masyarakat Waskita: Jurnal Pendidikan Nilai dan Pembangunan Karakter Jurnal Yudisial Journal of Tropical Marine Science Jurnal Teknologi Dan Sistem Informasi Bisnis JURNAL USM LAW REVIEW Discovery : Jurnal Ilmu Pengetahuan Jurnal Ilmu Manajemen Terapan (JIMT) Indian Journal of Forensic Medicine & Toxicology Jurnal Pengabdian Nasional International Journal of Educational Review, Law And Social Sciences (IJERLAS) Jurnal Konstitusi International Journal of Social Science, Education, Communication and Economics Yuridika Mudabbir: Journal Research and Education Studies Bina Hukum Lingkungan Trunojoyo Law Review Lex Publica Electronic Journal of Education, Social Economics and Technology Jurnal Progress: Wahana Kreativitas dan Intelektualitas Jurnal Pendidikan Sekolah Dasar Prosiding Pengabdian Ekonomi dan Keuangan Syariah Dinamis: Jurnal Pengabdian Kepada Masyarakat Bioconsortium : Biological Research and Education Contemporary Issues on Interfaith Law and Society Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Mahrus Ali
Universitas Islam Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Veterinary Other

Published : 91 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 91 Documents
Search

 5   6   7   8   9 
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.
Klasifikasi Komentar Publik Dalam Pemilihan Umum Presiden 2024 Dengan Menggunakan Metode Naive Bayes: Studi Kasus Indentifikasi Haters Dan Non-Haters Imania, Dina; Andriani, Anita; Ali, Mahrus
Inovate Vol 8 No 1 (2023): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v8i1.5096

Abstract

Indonesia is one of the countries that adheres to a democratic system. The democratic system of governmentprioritizes the people. So that when the election of the people's representatives is carried out, the people havethe highest right to go through elections that take place freely. In 2024, the Indonesian presidential electionwill be held. Every moment of the presidential election or presidential general election, there are manyopinions from the public about the rumored presidential candidate. However, in practice, there are manynegative comments that are "hate speech," which can trigger social conflict and damage the politicalenvironment. This research aims to build a classification model of public comments into "haters" and "non-haters" categories in Indonesian using the Naïve Bayes algorithm. This research uses data totaling 1000, withdetails of training data of 800 and test data of 200. With the stages of data collection, data pre-processing,classification with Naïve Bayes, Evaluation, and Deployment. The results obtained an accuracy value of83.5%, a precision value of 82%, and a recall value of 90%.Keywords: Presidential Election; Classification; Naive Bayes.
SISTEM INFORMASI PREDIKSI JUMLAH REFILL TONER PADA PRINTER LASERJET DI CV SOERYA COM DENGAN MENGGUNAKAN METODE WEIGHTED MOVING AVERAGE BERBASIS WEB Dwi Saputra, Septian; Mashuri, Chamdan; Zein Vitadiar, Tanhella; Ali, Mahrus
Inovate Vol 9 No 1 (2024): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v9i1.7229

Abstract

CV Soerya Com is a business providing printer services, laptop services, computer services and toner refills. Problems often arise when forecasting the number of toner refills in each period, because calculating toner inventory often results in a shortage or excess of toner. In this business location problem, an information system for forecasting the number of toner refills is needed. The method used in this research is the Weighted Moving Average method, namely to predict the future and each data is given a different weight from the previous data. Data generated from observations is from January 2018 to September 2023. Application using the Weighted Moving Average method (3 months) in October 2023 is 15 pcs. From the test results for the number of toner refills, the MAD, MSE and MAPE error values were 5.43, 42.50 and 36.02%. The results of the MAPE forecasting accuracy level are moderate, namely with a value of 36.02%. Keywords: Forecasting, Weighted Moving Average, MAD, MSE and MAPE.
Co-Authors ,, Nurlina Abda Abda Abdul Kadir Abrori, M. Sayyidul Ach Tahir Ach. Tahir Achmad Imam Agung Aditya Rachmadi, Aditya Akhmad Ferdiansyah, Akhmad Al-Fahad, Hamad Faisal Alien Meilani Suharti Amin Barokah, Nur Aminuyati Andhira Wardani ANITA ANDRIANI, ANITA Argus Argus, Argus Ari Wibowo Arief Hidayatullah Khamainy Aries Dwi Indriyanti, Aries Dwi Aulia, Muhammad Zulfa Awalia Safinatunnajah Azizi, Irfan Bahtiar, Musyaffa Arwiin Syah BAMBANG SUJATMIKO Beniharmoni Harefa Berta Putri Bimo Fajar Hantoro Budi Warsito Chairul Huda, Chairul Da Silva, Eugenia Brandao Dedy Rahman Prehanto Dewi Seswita Zilda Dike Fransiska, Dike Dwi Puji Hartono Dwi Saputra, Septian Eko Efendi eko efendi Ekowati Chasanah Ekowati Chasanah Fachlevi, Riyan Syah Faliha Muthmainah Fernando, Zico Junius Firmanda Himawan, Ahmad Ghufron, Hammam Mustofa Gintung Patantis Hadi Sucipto Hadi Sucipto, Hadi Hapzi Ali Hariyadi, Bambang Wicaksono Harwanto, Aditya Putra Henni Wijayanti Maharani Hermawan Fornando, Hermawan Hidayah, Isbatul I Kadek Dwi Nuryana, I Kadek Dwi I Putu Sastra Wibawa Imania, Dina Indriawan, Fani Irhamudin, Irhamudin Irwan Hafid Irwan Hafid Jaco Barkhuizen Jawahir Thontowi KHOIRUL ANAM Kholish, Moh Anas Kristianto, Hery Kurnia Dewi Anggraeny Kurnia, Satya Laili, Elisa Nurul Limin Santoso M. Arif Setiawan Mahmutarom, Mahmutarom Mashuri, Chamdan Miftahul Ilmi, Miftahul Moh Muhaemin Muhammad Abdul Kholiq Muhammad Arif Setiawan Mujianto, Ahmad Heru Ningtias, Ratih Kusuma Nisa, Afifatun Nisak, Fauziatun Nooraini Dyah Rahmawati Nuning Mahmudah Noor Nurlina Nurlina Nurul Huda Nyoman Serikat Putra Jaya Oktarinaldi Irawan Papontee Teeraphan Pasa, Zelang Prabowo, Galuh Prabowo, M Shidqon Prasetiyo, Rinto Pratiwi, Yeni Ika Pratiwi, Yeni Ika Pujiyono Rachmania, Faridatul Rachmanto, Laurensius Nathan Surya Rahmat Gernowo Rama Agus Mulyadi Reza Augusta Jannatul Firdaus Riskiadi Zain, M Rohman, Khabib Syaikhu Romadhon, Muhammad Imron Sakinah, Ummu Sanjaya, Aditya Wiguna SANJAYA, WAWAN Shaumia, Resi Siti Aimah Siti Basiroh, Siti Siti Hudaidah Soma Romadoni Sri Hastuti Puspitasari Sulthan, M Burhanis Syafiqah, Lu’luatus Syahrul Mubarok, Ahmad Taufik Hidayat Tibyani Verdian, Aldi Huda Wahyudi, Dicki Wandik, Elsi Wicaksono Hariyadi, Bambang Widoyoningrum, Sri Wildan Syahamata Ady Winahyu Erwiningsih Yenny Risjani Zein Vitadiar, Tanhella