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All Journal JURNAL HUKUM ILMU USHULUDDIN Jurnal Simetris Jurnal Teknologi Informasi dan Ilmu Komputer KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Daulat Hukum Pembaharuan Hukum Jurnal Akta International Journal of Law Reconstruction Sinkron : Jurnal dan Penelitian Teknik Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Unes Law Review Journal of Education, Humaniora and Social Sciences (JEHSS) Jurnal Ilmiah Penegakan Hukum Jurnal Ilmiah Mandala Education (JIME) JISIP: Jurnal Ilmu Sosial dan Pendidikan Yustisia Merdeka : Jurnal Ilmiah Hukum JURNAL USM LAW REVIEW JURNAL PENELITIAN PENDIDIKAN SOSIAL HUMANIORA ARBITER: Jurnal Ilmiah Magister Hukum TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Tunas Pelita Masyarakat JUNCTO: Jurnal Ilmiah Hukum Jurnal Ilmiah METADATA LEGAL BRIEF Journal of Computer Networks, Architecture and High Performance Computing Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Al-Hikmah JURNAL RECTUM: Tinjauan Yuridis Penanganan Tindak Pidana Jurnal Hukum Kaidah: Media Komunikasi dan Informasi Hukum dan Masyarakat JURNAL PENGABDIAN KEPADA MASYARAKAT CAHAYA MANDALIKA (ABDIMANDALIKA) J-SAKTI (Jurnal Sains Komputer dan Informatika) Empiricism Journal Bulletin of Community Engagement TECHSI - Jurnal Teknik Informatika Jurnal Ilmu Hukum, Humaniora dan Politik (JIHHP) Jurnal Pengabdian Masyarakat Hablum Minannas JURNAL PENDIDIKAN IPS Journal of Computing and Informatics Research Discourse of Physical Education Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Smart Hukum (JSH) J-Icon : Jurnal Komputer dan Informatika Nusantara: Journal Of Law Studies PKM Maju UDA Bisma : Business and Management Journal Journal of Informatics, Electrical and Electronics Engineering MILRev: Metro Islamic Law Review Al-Zayn: Jurnal Ilmu Sosial & Hukum Jembatan Hukum: Kajian Ilmu Hukum, Sosial dan Administrasi Negara Pemuliaan Keadilan Jurnal Pendidikan dan Dakwah ISNU Nine-Star Multidisciplinary Journal (INS9MJ) Jurnal Begawan Hukum Law and Justice Research Journal Journal of Civil Criminal Law Jurnal Ilmu Hukum dan Keadilan
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Legal Protection for Correctional Officers in Disciplinary Enforcement at Class IIB Lubuk Pakam Correctional Institutions Gultom, Juanda; Lubis, Muhammad Ridwan; Harahap, Herlina Hanum
LEGAL BRIEF Vol. 14 No. 2 (2025): June: Law Science and Field
Publisher : IHSA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/legal.v14i2.1322

Abstract

 Correctional officers play a critical role in maintaining order and supporting the rehabilitation of inmates within correctional institutions. Despite responsibilities comparable to other law enforcement professionals such as police officers and prosecutors, the legal protection afforded to correctional officers remains limited in practice. Although Law No. 22 of 2022, Ministerial Regulation No. 66 of 2016, and Ministerial Regulation No. 8 of 2024 provide a formal legal framework for enforcing inmate discipline and protecting officers, many officers struggle to navigate their dual role as both security enforcers and rehabilitation facilitators. This study explores the gap between legal provisions and on-the-ground realities at the Class IIB Lubuk Pakam Correctional Institutions, using a normative-empirical approach. Findings indicate that legal protection is often merely procedural and lacks meaningful institutional support. Contributing factors include overcrowded facilities, limited legal knowledge among staff, and the absence of effective deterrents against inmate violations—all of which leave officers feeling professionally and legally vulnerable. These conditions place correctional officers in a difficult position, where they must balance the enforcement of duties with concerns over potential legal consequences. The study concludes that strengthening legal education, enhancing institutional support, and revising current regulations are crucial steps toward improving the protection and effectiveness of correctional officers in their daily roles.
Optimization of the K-Means Method and Davies-Bouldin Index (DBI) Technique in Mapping Spotify's Most Popular Songs Based on Mood Septiani, Rizky; Lubis, Muhammad Ridwan; Firzada, Fahmi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 3 (2025): Articles Research July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i3.6655

Abstract

Spotify is a leading music streaming platform that offers a wide variety of songs with audio characteristics capable of influencing listeners' moods. This study aims to optimize the K-Means method to cluster popular songs based on users’ moods, with the support of the Davies-Bouldin Index (DBI) technique to determine the optimal number of clusters. The dataset was obtained from Kaggle, utilizing audio features such as danceability, valence, energy, and others as the basis for clustering. The results show that the implementation of K-Means optimized with DBI produces more accurate clustering, as indicated by lower DBI values. This approach has the potential to enhance mood-based music recommendation systems, enriching the user experience.
Analisis Pola Minat Siswa Lulusan SMU/SMK Untuk Melanjutkan Kuliah dengan Menggunakan Algoritma C4.5 Ayunda, Yuli Septya; Hartama, Dedy; Lubis, Muhammad Ridwan; Gunawan, Indra; Rafai, Muhammad
TIN: Terapan Informatika Nusantara Vol 4 No 9 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v4i9.4880

Abstract

STIKOM Tunas Bangsa is one of the best private universities in the city of Pematangsiantar. With so many universities in the city of Pematangsiantar, it certainly creates competition in attracting prospective new students. In order to maintain the number of students each year, universities must know what factors are the main drivers for prospective students to continue their studies at STIKOM Tunas Bangsa. The aim of this research is to determine the main factors for high school/vocational school graduate students in continuing their studies at STIKOM Tunas Bangsa. Data was obtained from questionnaires which were then processed using data mining with the C4.5 algorithm and tested with Rapid Miner software. Based on the research results, it can be concluded that there are six (6) patterns produced in cases of interest in prospective students who will study at STIKOM Tunas Bangsa, where three (3) of these rules result in interest decisions and three (3) rules result in no interest decisions. One of the resulting rules is if Recommendation = Never, and Suitability of Department = Appropriate, then the result is Interest. Recommendations from local people are the main supporting factor for high school/vocational school graduate students to continue studying at STIKOM Tunas Bangsa Pematangsiantar.
Implementasi Algoritma C4.5 Untuk Mengukur Tingkat Kepuasan Mahasiswa yang Berlangganan Wifi Indihome Kiswara, Qodrat; Safii, M.; Andani, Sundari Retno; Lubis, Muhammad Ridwan; Renaldi, Renaldi
TIN: Terapan Informatika Nusantara Vol 4 No 9 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v4i9.4918

Abstract

The urgency of research on satisfaction levels is closely related to the success and desires of a business or organization. Without a good understanding of customer satisfaction, a company or organization may lose market share, face declining sales, or even face failure. Therefore, this research must be carried out regularly and continuously. The purpose of this research is to determine the level of customer satisfaction and to determine the dominant service quality that influences the quality of service provided by PT Telkom Indihome to customers. In this research, researchers used the C4.5 Algorithm data mining technique. The research data source used was by making observations and distributing questionnaires to customers of PT Telkom Pematangsiantar City. In this case, researchers used assessment attributes, namely service quality, accessibility and product quality. This research is expected to provide information and input to PT Telkom Indihome in the form of evaluations in improving network quality. The results of the research conducted by the author obtained the following conclusion, namely that Data Mining with the C4.5 Algorithm can classify the measurement of satisfaction levels of STIKOM Tunas Bangsa students who subscribe to Indihome WiFi. The accuracy results obtained by this research were 75.00% with the average student who subscribed to Indihome WiFi stating that they were satisfied.
MODEL JARINGAN SYARAF TIRUAN DALAM MEMPREDIKSI EKSISTENSI PROGRAM STUDI KOMPUTERISASI AKUNTANSI (STUDI KASUS : AMIK TUNAS BANGSA PEMATANGSIANTAR) Ilham, Muhammad; Lubis, Ega Khairunnisa; Aisyah, Nurfahana Siti; Lubis, Muhammad Ridwan; Solikhun, Solikhun
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 10, No 1 (2019): JURNAL SIMETRIS VOLUME 10 NO 1 TAHUN 2019
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v10i1.3031

Abstract

Program studi Komputerisasi Akuntansi adalah program studi yang mempelajari tentang sistem akuntansi dimana komputer sebagai teknologi untuk menjalankan aplikasi untuk mengolah data transaksi akuntansi dan sekaligus untuk menghasilkan laporan akuntansi. Arah kajian keilmuan dari program studi ini mencakup disiplin, proses, teknik dan alat bantu yang dibutuhkan dalam rekayasa sistem informasi akuntansi yang meliputi tahap perencanaan, pembangunan, implementasi dan pemeliharaan. Komputerisasi Akuntansi banyak dibutuhkan di hampir semua bidang dunia kerja, terutama dalam menghadapi era globalisasi yang tak terlepas dari dunia teknologi dan informasi, sehingga perlu dipersiapkan sumber daya manusia yang memiliki kualitas untuk berkompetisi dalam setiap aspek khusunya bidang komputerisasi akuntansi. Tujuan prediksi ini untuk mengetahui, apakah program studi komputerisasi akuntansi masih diminati oleh mahasiswa atau tidak sampai 10 tahun kedepan. Prediksi eksistensi ini menggunakan metode jaringan syaraf tiruan backpropagation. Jaringan syaraf tiruan (JST) adalah paradigm pemrosesan suatu informasi yang terinspirasi oleh sistem sel syaraf biologi. Jaringan ini biasanya diimplementasikan dengan menggunakan komponen elektronik atau disimulasikan pada aplikasi computer. Variabel masukan (input) yang digunakan adalah data tahun 2010 sampai 2017 dengan model arsitektur pelatihan dan pengujian sebanyak 4 arsitektur yakni 8-4-1, 8-6-1, 8-8-1 dan 8-10-1. Data target diambil dari data tahun 2018. Keluaran yang dihasilkan adalah pola terbaik dari arsitektur JST. Model arsitektur terbaik adalah 8-4-1 dengan epoch 3449, MSE 0,02495690 dan tingkat akurasi 67%. Dari model ini maka dihasilkan prediksi Eksistensi Program Studi Komputerisasi Akuntansi di AMIK Tunas Bangsa.
Implementasi JST pada Prediksi Total Laba Rugi Komprehensif Bank Umum dan Konvensional dengan Backpropagation Windarto, Agus Perdana; Lubis, Muhammad Ridwan; Solikhun, Solikhun
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 4: Agustus 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.882 KB) | DOI: 10.25126/jtiik.201854767

Abstract

Total laba rugi komprehensif merupakan hasil yang digunakan untuk mengukur keberhasilan kinerja perusahaan selama periode tertentu yang tidak dipengaruhi oleh operasi normal perusahaan. Informasi total lapa rugi komprehensif sangat penting bagi beberapa pengguna laporan keuangan seperti investor, kreditor dan manajemen dalam memprediksi dimana posisi angka total laba rugi komprehensif untuk menentukan arah investasi masyarakat ke depan, begitu juga bagi pihak bank berguna untuk menentukan kebijakan strategi pemasaran dalam meninggkatkan total laba komprehensif tersebut. Penelitian ini bertujuan untuk membuat prediksi dengan menggunakan Artificial Intelligence dengan algortima backpropagation. Data yang digunakan bersumber dari Otoritas Jasa Keuangan (OJK) pada PT. Bank Mandiri (Persero) Tbk (Januari-Oktober 2016). Untuk melakukan prediksi dengan algortima backpropagation. Proses dilakukan dengan membagi data pelatihan dan pengujian untuk memperoleh model arsitektur terbaik. model arsitektur pelatihan dan pengujian yang digunakan untuk melakukan prediksi Total laba rugi komprehensif yakni: 4-25-1; 4-50-1; 4-50-75-1 dan 4-100-1. Dari serangkaian uji coba didapat pola terbaik dari arsitektur backpropagation adalah 4-50-1 dengan Means Square Error 0,0009978666, epoch 1977 dan akurasi 80% yang selanjutnya akan digunakan untuk melakukan prediksi. Abstract Total comprehensive income is the result used to measure the success of a company's performance over a certain period that is not affected by the company's normal operations. Total information on comprehensive loss is very important for some financial report users such as investors, creditors and management in predicting where the position of the total comprehensive income statement is to determine the direction of public investment going forward, as well as for banks to determine marketing strategy in increasing total profit comprehensive. This study aims to make predictions using Artificial Intelligence with backpropagation algorithms. The data used is sourced from the Financial Services Authority (OJK) at PT. Bank Mandiri (Persero) Tbk (January-October 2016). To predict with backpropagation algorithm. The process is carried out by dividing training and testing data to obtain the best architectural model. the training and testing architectural model used to predict the total comprehensive income: 4-25-1; 4-50-1; 4-50-75-1 and 4-100-1. From a series of trials obtained the best pattern of backpropagation architecture is 4-50-1 with Means Square Error 0,0009978666, epoch 1977 and accuracy 80% which will then be used to make predictions. 
Analisis Kualitatif Dampak Hukum Pidana Terhadap Masyarakat Muhammad Ridwan Lubis
Jurnal Ilmu Hukum, Humaniora dan Politik Vol. 4 No. 4 (2024): (JIHHP) Jurnal Ilmu Hukum, Humaniora dan Politik (Mei - Juni 2024)
Publisher : Dinasti Review Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jihhp.v4i4.1973

Abstract

It is the duty of the government to ensure the safety and order of the citizenry. Order and security are vital elements that shape a society that is psychologically healthy and prepared for global competition. This is because environmental factors strongly influence individual character. The Indonesian criminal justice system must be adequately enforced to realize this ideal. Nevertheless, there are occasions when the effectiveness of law enforcement is uncertain, resulting in a state of unrest among the public and the persistence of criminal activity. This study was therefore undertaken to ascertain the impact of implementing criminal legislation on enhancing community security and order. The methodology employed comprised a descriptive qualitative approach utilising interviews, observations and the distribution of questionnaires via the online platform Google forms. The findings indicated that the enforcement of criminal law has a constructive influence on the advancement of community security and order.
Juridical Analysis of Drug Use and Its Implications in Criminal Law Lubis, Muhammad Ridwan
Jurnal Smart Hukum (JSH) Vol. 2 No. 2 (2024): October-January
Publisher : Inovasi Pratama Internasional. Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/jsh.v2i2.706

Abstract

The purpose of this study is to evaluate the effectiveness of legal analysis in addressing drug abuse in law enforcement within Indonesia. Identifying the barriers to law enforcement and rehabilitation for drug offenders and narcotics abusers in the legal system is also a focus. The research employs sociological and juridical research methods, incorporating a social science approach alongside legal analysis. To identify issues in this study, the researcher employed descriptive analysis research methods by detailing the application of punishment and rehabilitation approaches for drug dealers and individuals involved in drug abuse.
Pengembangan Sistem Pendidikan Hukum Pidana untuk Masyarakat Ridwan Lubis, Muhammad; Nurita, Cut; Lubis, Diana; Novita, Rini; Armaini Ry, Agus
Bulletin of Community Engagement Vol. 4 No. 1 (2024): Bulletin of Community Engagement
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bce.v4i1.1068

Abstract

Questioning the existence of law that lives in society in reforming criminal law is an important challenge in developing a legal system that is in accordance with changing social dynamics. In this endeavor, it is important to consider two main perspectives: juridical and theoretical. From a legal theory perspective, the position of law as it exists in society in reforming criminal law can be seen as a reflection of the interaction between existing norms in society and norms produced by formal legal institutions. This legal theory emphasizes the importance of understanding how informal norms that exist in society, such as customs, values ??and traditions, can influence the development of criminal law. In this context, the law that lives in society is not something separate or independent, but is an integral part of the formation and renewal of criminal law. This research applies a normative juridical approach with a focus on descriptive analysis. The results of this research show that there is a contribution of law that lives in society in reforming criminal law, which has strong theoretical support. This shows that in developing or updating criminal law, it is important to consider not only the norms established by formal legal institutions, but also the social realities and values ??that live in society. In addition, justification for adopting these social rules in criminal law reform can be found not only in national law, but also in international law, which shows the relevance and importance of global norms in the local context. Keywords: Development Criminal Law Education System, Criminal Law Education System
Klasifikasi Peminatan Topik Keilmuan Dalam Penyelesaian Studi Menggunakan Algoritma Naive Bayes Waldi Setiawan; Dedy Hartama; Muhammad Ridwan Lubis; Ihsan Syajidan; Agus Perdana Windarto
Journal of Computing and Informatics Research Vol 3 No 2 (2024): March 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v3i2.1200

Abstract

Academic expertise is a subject of study taught at the university level to assist students in completing their thesis writing, thereby enabling them to successfully complete their graduate studies. The chosen academic specialization aligns with the vision and mission of each program and can have a positive impact on the university. Students' chosen fields of expertise in completing their studies may either align or not align with the program's vision and mission. The variables used in this research are GPA, MKRV1, MKRV2, and Academic Expertise. The aim of this research is to determine how many students select an academic topic that aligns with the program's vision and mission, particularly in this case, the Computer Science program, as they complete their studies. The Naïve Bayes algorithm is employed in this research, yielding an accuracy rate of 98.11%. This research can provide valuable insights for STIKOM Tunas Bangsa Pematang Siantar to understand the extent to which students from other programs choose academic expertise that aligns with the vision and mission of each program.
Co-Authors Achmad Noerkhaerin Putra Afjuni Amri Siregar Agus Perdana Windarto Aisyah, Nurfahana Siti Alifah, Winanda Amirsyah Tambunan Andi Aina Ilmih Andi Gilang Permadi Andri Winjaya Laksana Apriliani, Lulu Armaini Ry, Agus Ayunda, Yuli Septya Azhari, Ridhan Azlan Zulhamsyah Bambang Irawan Budi Hartono Cut Nurita Cut Nurita Dalimunthe, Nurhafidah Darni Hayana Ritonga Dedy Hartama Denny Suwondo Dhea Halimah Dian Pramana Diana Lubis Diana Lubis Dzaka Imtiyaz Iqbal Eka Irawan Eko Ahadi Fatmawati, Kiki Firzada, Fahmi Gomgom TP Siregar Gultom, Juanda Habinsaran Parhusip Handi Gunawan Hartama, Dedy Herlina Hanum Harahap Icol Dianto Ihsan Syajidan Iin Parlina Ika Okta Kirana Indra Gunawan Isyani Isyani Johan Irmansyah Kiswara, Qodrat Lihadi, Irfan Lubis, Diana Lubis, Ega Khairunnisa Lubis, Mhd Ansori Lubis, Mhd. Ansori Lukman Nasution Mahmoud Ali Al-Sobh Manurung, Dormauli Maryani, Halimatul Marzuki Lubis Moh. Nurul Huda Mohammad Subchan Muhammad Ansori Muhammad Ansori Lubis Muhammad Ilham Muhammad Yusrizal Adi Syaputra Naavi'u Emal Maaliki Nasution, Della Fatricia Ngazis, Muhammad Ningrum, Haryati Novita, Rini Nurita, Cut Nurul Tahlida Lubis Panca Sarjana Putra Parlina, Iin Parlina, Iin Puja Riani Nasution Pulungan, Ja’far Hamzah Putra, Panca Sarjana Rafai, Muhammad Ramadan Prabowo Ramadhani, Africo Ratih Mega Puspa Sari Renaldi Renaldi Reza Nurul Ichsan Rifky Azulfiy Alfayed Batubara Rini Novita Rini Novita Safii, M. Saifullah Saifullah Saputra, Widodo Septiani, Rizky Siregar, Syawal Amry Situmorang, Yolanda Agustina Solikhun Solikhun, Solikhun Sundari Retno Andani Supardi Sitinjak Syamsiar Nurhayadi Syawal Amry Siregar Teuku Daudsyah Venny Fraya Hartin Nst Waldi Setiawan Wanto, Anjar Widodo Saputra Yasmirah Mandasari Saragih