Article Per Year (5 Year)
p-Index From 2021 - 2026
6.574
P-Index
This Author published in this journals
All Journal KURVA S JURNAL MAHASISWA JURNAL MEDIA INFORMATIKA BUDIDARMA J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Journal of Architectural Research and Education Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA JPM: JURNAL PENGABDIAN MASYARAKAT Journal of Social Responsibility Projects by Higher Education Forum J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal ABDIMAS Budi Darma Bulletin of Data Science Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) PEMA: Jurnal Pendidikan dan Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat Inovasi Journal of Computing and Informatics Research Journal of Informatics, Electrical and Electronics Engineering JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Journal Global Technology Computer Jurnal Ilmu Komputer, Teknologi Dan Informasi Jurnal Teknik AMATA Journal of Decision Support System Research
Muhammad Syahrizal
Universitas Budi Darma, Medan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 78 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 78 Documents
Search

 4   5   6   7   8 
Penerapan Metode Weighted Aggregated Sum Product Assessment Dalam Pemilihan Peserta Olimpiade Sains Matondang, Hasiholan; Situmorang, Dharma Bakti; Mesran, Mesran; Syahrizal, Muhammad
Bulletin of Data Science Vol 4 No 1 (2024): October 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletinds.v4i1.6410

Abstract

Science Olympiad participants will compete with other schools to show their abilities in the fields of science being contested, such as mathematics, physics, chemistry, biology and astronomy Or special themes chosen during the Olympics. This makes it difficult in the selection of participants for the Science Olympiad, because the Olympiad participants are proud and also carry the good name of the school that is studying, so that the wrong entry of participants causes problems in assessing school quality. In this study, the Science Olympiad participants were selected with the concept of a decision support algorithm using the WASPAS method. The WASPAS method, which stands for Weighted Aggregated Sum Product Assessment, is one of the methods used to minimize product defects by finding the highest and lowest values. The results of this study indicate that a student named Frans with a score of 8.7590 was selected to take part in the Science Olympiad as the best choice among the other options.
Pelatihan Adaptif Berbasis Artificial Intelligence (AI) untuk Meningkatkan Hasil Belajar di Sekolah Menengah Kejuruan Syahrizal, Muhammad
Journal of Social Responsibility Projects by Higher Education Forum Vol 5 No 1 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v5i1.6860

Abstract

This study aims to analyze the effectiveness of Artificial Intelligence (AI)-based adaptive training in improving student learning outcomes in Vocational High Schools (SMK). AI-based adaptive training is designed to provide a personalized learning experience by adjusting the level of difficulty and content of the material based on the individual needs of students. The research method used is a quasi-experiment with a pretest-posttest control group design. Data were collected through learning outcome tests, student perception questionnaires, and in-depth interviews. Participants consisted of vocational high school students majoring in engineering, who were divided into experimental and control groups. The results showed that students who took AI-based training experienced a significant increase in learning outcomes compared to the control group using conventional training methods. Specifically, the experimental group showed improvements in cognitive aspects, applications, and learning motivation. In addition, students responded positively to the implementation of AI technology, noting that this approach increased their understanding and engagement in learning. However, this study also identified challenges such as limited technological infrastructure in some schools and initial resistance to the use of new technologies. Therefore, this study recommends increasing technological literacy, developing technology-based education policies, and long-term evaluation of the effectiveness of AI-based training. The results of this study contribute to educational innovation in vocational schools to prepare students to face the challenges of the ever-evolving world of work.
Classification of Types of Crimes Against Human Physique Using the K-Means Clustering Method Fadillah, Rizkah; Rangkuti, Fiqri Hidayat; Siregar, Anggi Jaya Maulana; Ananda, Rizky; Syahrizal, Muhammad
Jurnal Ilmu Komputer, Teknologi Dan Informasi Vol 3 No 1 (2025): Januari 2025
Publisher : CV. Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/jurikti.v3i1.192

Abstract

Human physical crimes are unlawful acts and prohibited by the rule of law, which can harm or damage the body of others. This study aims to examine the number of groupings of types of crimes against human physique in 2019 to 2020 in all areas of East Nusa Tenggara province. To do this, we use the K-Means Clustering method to group the types of physical crimes against humans. The data used came from the Central Statistics Agency of East Nusa Tenggara province. The K-Means method is one of the non-hierarchical data clustering methods that seeks to partition data into the form of one or more clusters/groups. After the application of the K-Means algorithm in the grouping of types of crimes against human bodies in 2019 to 2020 in the East Nusa Tenggara region, there are 3 centroids, C1 for areas with low crimes, C2 for areas with moderate crimes and C3 for areas with high crimes. The initial centroid value is determined randomly and then for the next centroid is adjusted to the result of the calculation of the closest distance (minimum). The final results obtained are areas with low crime totaling 13 regions, namely East Sumba, Lembata, Sikka, Ende, Ngada, Manggarai, Rote Ndao, West Manggarai, Central Sumba, Southwest Sumba, Nagekeo, East Manggarai, and Sabu Raijua. There are 7 areas with moderate crimes, namely West Sumba, Kupang, South Central Timor, North Central Timor, Belu, Alor, and East Flores. As for the area with high crime, there is 1 area, namely Kupang City.
Penerapan Metode Moosra Dengan Pembobotan Rank Order Centroid (ROC) Untuk Pemilihan Supplier Bahan Fresh Agung Dermawan; Muhammad Syahrizal; Kurnia Ulfa
JURIKOM (Jurnal Riset Komputer) Vol 11, No 3 (2024): Juni 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v11i3.8455

Abstract

Perkembangan teknologi yang pesat menuntut sistem terkomputerisasi dalam berbagai aspek, termasuk pemilihan supplier bahan fresh. Proses manual dalam pemilihan supplier berisiko menimbulkan ketidaktepatan dan subjektivitas, yang dapat merugikan perusahaan akibat ketidaksesuaian supplier dengan kebutuhan. Oleh karena itu, diperlukan sistem pendukung keputusan yang dapat membantu menentukan supplier terbaik berdasarkan kriteria tertentu. Metode Multi-Objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA) dengan pembobotan Rank Order Centroid (ROC) diterapkan untuk menangani pemilihan supplier dengan banyak alternatif dan kriteria. Hasil penelitian menunjukkan bahwa metode ini mempercepat dan meningkatkan akurasi proses seleksi supplier. Dari hasil perangkingan, supplier Rumah Jamur (A3) mendapatkan nilai tertinggi 36,43, sehingga menduduki peringkat pertama sebagai supplier terpilih. Dengan penerapan metode ini, jumlah supplier yang mendaftar berpotensi meningkat, memungkinkan seleksi yang lebih luas dan optimal. Sistem yang dikembangkan tidak hanya membantu perusahaan dalam memilih supplier terbaik tetapi juga meningkatkan efisiensi dalam pengelolaan data dan pengambilan keputusan. Dengan demikian, integrasi teknologi dalam proses ini sangat diperlukan untuk meningkatkan efektivitas operasional perusahaan dan memastikan ketersediaan bahan fresh yang berkualitas sesuai dengan standar yang telah ditetapkan.
PROTOTYPE SYSTEM FIRE DETECTOR MENGGUNAKAN SPRINKLER SEBAGAI MEDIA PEMBELAJARAN MAHASISWA DI POLITEKNIK AMAMAPARE Rombekila, Aryani; Buang, Nursahar; Samsuri, Syahrul; Syahrizal, Muhammad
Jurnal Teknik AMATA Vol. 6 No. 1 (2025)
Publisher : Politeknik Amamapare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55334/jtam.v6i1.332

Abstract

Teknologi dapat diartikan sebagai kumpulan alat, metode, dan sistem yang diciptakan untuk memenuhi kebutuhan manusia, baik dalam menunjang kelangsungan hidup maupun meningkatkan kenyamanan. Dalam perkembangannya, teknologi telah melahirkan berbagai inovasi, termasuk sistem yang dirancang secara otomatis untuk mendeteksi dan memadamkan api di dalam ruangan. Salah satu contoh dari inovasi tersebut adalah sistem deteksi kebakaran otomatis atau dikenal dengan istilah fire detector system. Alat ini memiliki peranan yang sangat krusial, terutama dalam sektor industri dan gedung-gedung besar, karena mampu memberikan perlindungan terhadap risiko kebakaran. Sistem alarm kebakaran tidak hanya mendeteksi adanya potensi kebakaran, tetapi juga memberikan sinyal atau peringatan dini kepada orang-orang di sekitarnya agar dapat segera mengambil tindakan penyelamatan. Peringatan dini ini sangat penting dalam mencegah kerugian besar baik dari sisi materiil maupun keselamatan jiwa. Penelitian ini secara khusus mengkaji penerapan sistem fire detector sebagai media pembelajaran di lingkungan Politeknik Amamapare. Tujuan utama dari proyek rancang bangun ini adalah untuk memahami dan mendemonstrasikan bagaimana sistem deteksi kebakaran bekerja, terutama yang mengintegrasikan penggunaan sprinkler otomatis sebagai alat pemadam api. Melalui studi ini, diharapkan mahasiswa dapat memperoleh pemahaman praktis mengenai mekanisme kerja sistem keamanan kebakaran dan mampu mengaplikasikannya dalam dunia kerja maupun dalam kehidupan sehari-hari yang memerlukan sistem proteksi terhadap kebakaran.
Pelatihan Masakan Thailand Berbasis Bahan Lokal untuk UMKM Kuliner di Kecamatan Deli Serdang sebagai Strategi Diversifikasi Produk Ekonomi Kreatif Shara, Yuni; Akmal, Oktafiana; Ongah, Harun; Syahrizal, Muhammad
Journal of Social Responsibility Projects by Higher Education Forum Vol 5 No 3 (2025): Maret 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v5i3.7201

Abstract

This community service program aims to enhance the capacity of micro, small, and medium enterprises (MSMEs) in Deli Serdang District by introducing and providing training on product innovation based on Thai cuisine. The main challenges faced by culinary MSME partners in the area include limited menu innovation, lack of awareness of current culinary market trends, and inadequate product packaging techniques. Additionally, these MSMEs struggle with mastering digital marketing strategies, which have become increasingly crucial in the post-pandemic era. To address these issues, the program employs a participatory approach involving training sessions, hands-on demonstrations, interactive discussions, and intensive mentoring. An experiential learning method is applied to ensure participants not only understand the concepts but are also able to implement them directly and effectively. Preliminary results indicate that 87% of participants experienced improved understanding of Thai menu innovation, while 76% successfully developed new product variations inspired by Thai recipes but adapted to local ingredients. Moreover, 65% showed improved skills in attractive product packaging, and 58% were able to promote their products through social media platforms as part of a digital marketing strategy. This approach has demonstrated a positive impact on enhancing the competitiveness of local culinary MSME products.
MERAJUT LITERASI QUR'ANI DARI AKAR RUMPUT: Menggali Potensi Pemberdayaan di Desa Bangun Rejo Wardi, Syah; Rahmadani, Suci; Syahrizal, Muhammad; Yuanda, Richa; Cahyo, Robi Dwi; Sabrina, Elisa; Aisyah, Sity; Muammar, Muammar; Hasanah, Nurul Riska
PEMA Vol. 5 No. 2 (2025)
Publisher : Perkumpulan Manajer Pendidikan Islam Indonesia (PERMAPENDIS) Prov. Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56832/pema.v5i2.1520

Abstract

Pemberdayaan masyarakat di desa Bangun Rejo Kecamatan Tanjung Morawa melalui program Pemberdayaan Masyarakat Melalui Pembelajaran Al-Quran dari Nol adalah bentuk pembinaan masyarakat untuk meningkatkan minat baca Al-Qur’an di masyarakat. Melalu observasi didapatkan bahwa pada desa Banun Rejo tepatnya di rumah Quran Darul Wafa, didapati masyarakat yang belum dapat membaca Al-Qur’an dengan baik dan benar dalam membantu memecahkan masalah sosial tersebut, maka dirasa perlu memberikan pelatihan dalam bidang Al-Qur`an. Pemberdayaan masyarakat di pengajar Al-Qur`an telah melahirkan perubahan perilaku positif pada penerima manfaatnya dan berimplikasi pada meningkatnya kemampuan membaca Al-Qur`an bagi warga desa Banun Rejo tepatnya di rumah Quran Darul Wafa. Penelitian ini bertujuan untuk mengetahui peningkatan pemahaman membaca Al-Quran terhadap tajwid khususnya pada masalah dalam membacanya. Penelitian ini adalah banyak masyarakat terutama orang dewasa yang masih banyak yang kurang paham dalam membaca Al-Quran dengan tajwid yang benar. Permasalahan diatas juga menjadi perkara yang patut diperhitungkan dalam pembinaan/pendidikan di rumah Quran Darul Wafa. Hal ini sudah menjadi tanggung jawab penulis sebagai mahasiswa Pendidikan agama islam untuk membantu mereka yang masih belum mampu meraih kompetensi yang harus dimiliki seorang Muslim khususnya di bidang keagamaan yaitu membaca Al-Quran.
Optimalisasi Peningkatan Daya Saing UMKM Kuliner Medan melalui Digitalisasi Pemasaran dan Manajemen Keuangan Kota Medan Purnama Sari, Dian; Vina Winda Sari; Ekawati, Yuni Andri; Akbar, Aswin; Muhammad Syahrizal
JPM: Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025): Juli 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v6i1.2458

Abstract

This community engagement program aims to enhance the competitiveness of culinary micro, small, and medium enterprises (MSMEs) in Medan City through training in digital marketing and basic financial management. A preliminary survey of 20 MSMEs revealed that most lacked strategic use of social media and did not maintain proper financial records. The program was implemented through interactive training and field mentoring over two months. The results showed significant improvements in four key areas: social media usage increased from 50% to 85%, financial record-keeping from 20% to 75%, digital literacy from 30% to 85%, and financial literacy from 25% to 75%. Participants also reported increased business revenue and enhanced online promotion skills. The program aligns with prior research findings while offering a unique approach through integrated methods and tangible behavioral change among participants. Limitations include a relatively short implementation period and the absence of long-term impact assessment. Nevertheless, the program is considered successful and has the potential to be replicated for other MSME sectors with a more sustainable strategy.
Sistem Pendukung Keputusan Penerimaan KIP Menggunakan Metode Multi-Objective Optimization by Ratio Analysis (MOORA) Eka Gustina Bancin; Ebenezer Bangun; Muhammad Syahrizal; Hetty Rohayani
Journal of Decision Support System Research Vol. 2 No. 2 (2025): January 2025
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i2.93

Abstract

The Indonesia Smart Card for Higher Education (KIP Kuliah) is a government-funded scholarship program designed for students with strong academic potential but limited economic resources, as regulated in Minister of Education and Culture Regulation No. 12 of 2015 on the Indonesia Smart Program. Universitas Budi Darma Medan is one of the universities entrusted to accept and select prospective scholarship recipients. However, the large number of applicants requires a decision support system (DSS) to make the selection process more objective, efficient, and accurate. This study applies the Multi-Objective Optimization by Ratio Analysis (MOORA) method to determine KIP recipients. The MOORA method was chosen for its simplicity, flexibility, and effectiveness in weighting and ranking alternatives based on several predetermined criteria, namely number of achievement certificates, parents’ income, interview test scores, written test scores, and home ownership. Data from seven applicants were analyzed using weights established by the university. The results show that MOORA successfully generated a clear and measurable ranking, with alternative A5, Fredy Fau, obtaining the highest score of 0.1725 and ranked first as the best candidate for KIP assistance. Therefore, the application of the MOORA method within a DSS proves effective in assisting universities to carry out the selection process objectively and transparently.
Implementation of Village Financial Administration Management Using the SISKEUDES (Village Financial System) Application in Makeruh Village Syahrizal, Muhammad; Pribadi, Rizky Maulana
JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Vol 10, No 3 (2025): Social, Cultural and Historical Studies
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jimps.v10i3.35770

Abstract

The study examined the implementation of a village financial system using a village financial application. This research is a descriptive qualitative study. The study involved Makeruh Village, Rupat District, Bengkalis Regency. Data collection was conducted through observation, interviews, and documentation. Village financial management in Makeruh Village complies with the Standard Operating Procedure (SOP), specifically Regulation of the Minister of Home Affairs of the Republic of Indonesia Number 20 of 2018 concerning Village Financial Management. Village financial management in Makeruh Village includes planning, implementation, administration, and reporting. Makeruh Village is transparent and accountable in managing village finances. Village financial management using a village financial system improves the villages reporting system.
Co-Authors Abdul Karim Ade Septi Rezeki Anggreani Binjori Advent Halawa Afri Nirmalasari Halawa Agung Dermawan Agus Minta Riang Zega Aida Sopia Aisyah, Sity Akbar, Aswin Akmal, Oktafiana Alwin Fau Amanda Pratama Amanudin Harahap Ananda, Rizky Anggia Arif Anri Muda Siregar Antonius Antonius Ardian Fadly Telaumbanua Ari Gunawan Rambe Armansyah Ritonga Asma Asma Berry Richard Ornos Sinambela Buang, Nursahar Cahyo, Robi Dwi Daulay, Nelly Khairani Dermawan, Agung Devi Purnama Sari Didi Prawira Suprayogi Dito Putro Utomo Dona Roni Tambunan Dwina Pri Indini Dwina Priindini Ebenezer Bangun Efidoren L Nainggolan Eka Gustina Bancin Ekawati, Yuni Andri Endhika Endhika Enzel Febrianti Telaumbanua Fadillah, Rizkah Fadlina Fince Tinus Waruwu Fitri Handayani Lubis Fuady Mahbub Garuda Ginting Halawa, Advent Hanif, Faizira Nur Hapipuddin Hapipuddin Haryati Haryati Hasanah, Nurul Riska Helfrida Hotmaria Sihite Hetty Rohayani Hotni Rotua Br Hutapea Hutabarat, Sumiaty Adelina Ida Mayanju Pandiangan Ilhamsyah Ilhamsyah Imam Saputra Intan Maharani Iwan Setia Budi Jamillah Nasution Jaya, Andi Eka Putra Karto Wijaya Karto Wijaya, Karto Kennedi Tampubolon Kevin Yanto Sarumaha Khairun Nisa Ulfa Khairunnisa Khairunnisa Kristian Siregar Kurnia Ulfa Lince Tomoria Sianturi Liza Handayani Lumban, Romayani Malango, Monika Stefani Manik, Lastri Mardin, Mardin Marta Zega Masriani . Matondang, Hasiholan Maulidza, Dwi Maya Sari Mei Warni Zendrato Mesran, Mesran Miya Putri Daulay Muammar Muammar, Muammar Muhammad Fajar Rizky Muhammad Rezki Wasallam Muhammad Sayuthi Murdani Murdani Murdani Murdani Murdani Murdani Murdani, Murdani Nelly Astuti Hasibuan Ngajudin Nugroho Nola Dita Puspa NS, Eka Widya Nugroho, Very Sapto Nurainun Hasanah Sinaga Nurlela Nurlela Nurlinda, Andika Oktavian Laksamana Suryo Ongah, Harun Pagan, Darmandra Mirza Pradana, Ari Purba, Rohan Kristini Purnama Sari, Dian Putri Ramadhani Rahayul Kahfi Rakhmaji, Iqbal Rangkuti, Fiqri Hidayat Renta Gracia Tampubolon Ridha Ismadiah Rika Irwanti Ritonga, Devi Rivalri K. Hondro Rivalri Kristianto Hondro Rizka Rahayu Pasaribu Rizky Maulana Pribadi, Rizky Maulana Roberto Valentinus Manurung Robiah Al-Adawiyah Rombekila, Aryani Ronda Deli Sianturi Sabrina, Elisa Saidi Ramadan Siregar Samsuri, Syahrul Sarwandi Wandi Septa Fenly Sinaga shara, yuni Siagian, Edward Robinson Simangunsong, Santi Sinurat, Sinar Siregar, Anggi Jaya Maulana Sitorus, Jepri Saprianto Situmorang, Dharma Bakti Soeb Aripin Suha Alvita Supiya Supiya Surya Darma Nasution Teresia Teti Ernawati Ndruru Tesa Aurelia Siregar Thesa Noveninta Ginting Ulfa, Kurnia Vina Winda Sari Wardi, Syah Yuanda, Richa Yuni Shara