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All Journal KURVA S JURNAL MAHASISWA JURNAL MEDIA INFORMATIKA BUDIDARMA 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 Ragam Pengabdian Jurnal Teknik AMATA Journal of Decision Support System Research
Muhammad Syahrizal
Universitas Budi Darma, Medan
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Penerapan Sistem Pendukung Keputusan Seleksi Dosen Non Komputer Terbaik Menggunakan Metode Weighted Product (WP) Lumban, Romayani; Muhammad Syahrizal
Journal of Computing and Informatics Research Vol 3 No 3 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/comforch.v3i3.1492

Abstract

Lecturers are individuals who have professional and scientific expertise, with the main task of changing, developing and disseminating knowledge, technology and art through educational activities, research and community service. Until now, the selection process for Non-Computer Lecturers has focused on experience as an educator, although there are several other criteria that can be used as a basis for selecting Non-Computer Lecturers. These criteria include Grade Point Average (GPA), ability to collaborate in a team, physical and mental health, expertise in interpersonal skills, and ability in Micro Teaching. The selection process for Non-Computer Lecturers requires support from a decision support system (DSS). DSS is part of a computer-based information system (including knowledge-based systems) that is used to assist in decision making in various types of organizations or entities. In this research, the Weighted Product (WP) method is used to select the best Non-Computer Lecturers. The choice of this method is based on its ability to evaluate and select the best solution from a variety of available alternatives. The results obtained from this research are that alternative A1 with the name Lecturer "Melda Panjaitan, M.Pd" with a value of Vi = 0.2220 is the best alternative.
Penerapan Metode Moosra Dengan Pembobotan Rank Order Centroid (ROC) Untuk Pemilihan Supplier Bahan Fresh Dermawan, Agung; Syahrizal, Muhammad; Ulfa, Kurnia
JURNAL RISET KOMPUTER (JURIKOM) 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.
Animal Caregiver Selection by Applying ARAS Method Decision Support System and Entropy Weighting Utomo, Dito Putro; Syahrizal, Muhammad; Hondro, Rivalri Kristianto; Saputra, Imam
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7048

Abstract

Animal care is a profession that is responsible for taking good care of animals or checking the condition of animals for the purpose of animal health. To get a qualified animal care worker according to the company's needs, it takes quite a long time, because animal care workers who apply for a job at a company must first go through several tests in order to meet the criteria required by the company. So that animal care workers are needed and required to care for animals, maintain their health and pay attention to the nutrition of the animals. So that there is no extinction of protected animals. The current animal care worker acceptance procedure in the wildlife park is that applicants submit identity files, if they pass the applicant's files, they take an interview test and the last test, the applicant must practice in the field directly to find out how well the applicant is able to adapt to animals. In calculating the value, problems often occur in this acceptance process. A decision support system (DSS) is an interactive information system that provides information, modeling, and data manipulation. In this case, the author uses the Entropy method and the ARAS (Additive Ratio Assessment) method to solve it. The Entropy method can be used to calculate weights based on data characteristics in the criteria, the higher the variation between data in the criteria, the higher or more important the weight of the criteria. While the ARAS (Additive Ratio Assessment) method is used for ranking. The use of the Entropy method as a weighting aims to ensure that the weighting process is carried out based on objective value assignment. In the application of the Entropy Method, a weighting of the criteria value is produced where the criteria with the highest to lowest values ​​are Certificate, Work Experience, Age, Interview and Education with the highest value being 0.768 and the lowest being 0.021. Then the process of applying the selection of animal nurses using the ARAS method obtained the result that alternative A1 was selected as an animal nurse with a value obtained of 0.0816.
Sistem Pendukung Keputusan Pemilihan Customer Service Terbaik Menggunakan Metode WASPAS (Weight Aggregated Sum Product Assesment) Robiah Al-Adawiyah; Ritonga, Devi; Muhammad Syahrizal
Journal of Decision Support System Research Vol. 1 No. 2 (2024): January 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v1i2.38

Abstract

Customer service plays a very important and problematic role in forming the image of a company or organization, so with the help of customer service every customer or consumer can ask and use the information provided both about services and goods. Both verbal and non-verbal communication methods in customer service have a significant impact on the image of a company or organization. In order for the company's services to be provided optimally and maximally to customers, everyone must support each other. Qualification standards have a significant impact on excellent customer service in a company or organization. Effective customer service plays a key role in building good customer relationships and ensuring their satisfaction. Therefore, choosing the right customer service is important for companies as well as organizations. So we need a Decision Support System (SPK) in solving this problem. So that a Decision Support System (DSS) is needed in solving this problem. In this study using the Weight Aggregated Sum Product Assessment (WASPAS) method. This method uses an approach to selecting the highest and lowest values ??that can be optimized to provide more accurate results. Several methods on decision support systems in producing the best alternatives include SAW, WP, AHP, MOORA, MOOSRA and OCRA. WASPAS (Weight Aggregated Sum Product Assessment) is one of the methods that can do this to reduce errors or to optimize the evaluation of the selection of the highest and lowest values. This method is a unique combination of the MCDM approach, namely the weighted numerical model (WSM) and the Product Weight Model (WPM). One of the problems faced in the selection of customer service is due to the large number of people who register, therefore to determine the best customer service acceptance the company conducts data collection by determining the criteria and weights that must be met to carry out the calculations, so that the best alternative results can be obtained. it can be concluded that the WASPAS (Weight Aggregated Sum Product Assessment) method is very appropriate to use in selecting the best customer service. Evidenced by the results being in alternative (A1), namely Daughter as the best preference with a value of 3.19755, so that a decision support system with the WASPAS (Weight Aggregated Sum Product Assessment) method can help a company or a particular brand in choosing the best customer service to work together in companies or other agencies.
Penanaman Pohon sebagai Edukasi Publik untuk Pelestarian Lingkungan Shara, Yuni; Arif, Anggia; Nugroho, Ngajudin; Syahrizal, Muhammad
Jurnal Pengabdian Masyarakat Inovasi Vol. 4 No. 1 (2025): February 2025
Publisher : Sekolah Tinggi Ilmu Manajemen Sukma Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35126/jpmi.v4i1.787

Abstract

Land degradation and global climate change represent serious environmental challenges that require collaborative responses from various stakeholders. This community service program aims to mitigate the impacts of environmental damage through the concrete action of tree planting while providing comprehensive public education within the Faculty of Agriculture, Universitas Islam Sumatera Utara. The implementation method utilized a participatory approach involving 62 students from Politeknik Cendana, academic staff, local communities, and partners from national and international universities. The stages of the activity began with the identification of critical land, the selection of adaptive shade and productive tree species, followed by silvicultural technique workshops and a synchronized planting action. The results of this program led to the successful planting of 1,000 tree seedlings in areas experiencing land degradation, which is projected to increase green cover and improve the micro-climate within the campus environment. Beyond the physical impact, evaluations showed a significant increase in ecological awareness and practical environmental management skills among participants. The international synergy in this activity successfully broadened participants' perspectives on global responsibility for maintaining Earth's sustainability. The success of this program reinforces that the integration of field action and public education can create an effective and sustainable environmental conservation model. The implications of this activity emphasize the importance of using digital-based monitoring technology to ensure future tree survival rates. As a successful service model, this program is expected to be replicated in other regions by strengthening multilateral collaborations between academia, the private sector, and the government to achieve broader and more massive environmental impacts.
Penguatan Kapasitas Aparatur Desa di Medan Johor melalui Pelatihan Manajemen Informatika dan Tata Kelola SDM yang Akuntabel Purnama Sari, Dian; Muhammad Syahrizal; Rizky Indra Saputra; Sari, Vina Winda; Peranginangin, Andreas P
JPM: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v6i3.3028

Abstract

This community service program aims to strengthen the capacity of village officials in Medan Johor District through training in informatics management and accountable human resource governance. The training was conducted using an interactive workshop and practice-based mentoring approach, focusing on digital information systems, administrative data management, and the implementation of public accountability principles in village governance. A total of 20 village officials participated in the program, and evaluations were carried out using structured pre- and post-training surveys. The results indicate a significant improvement in informatics skills (from an average score of 2.8 to 4.3), understanding of accountability (from 3.0 to 4.5), and work efficiency (from 2.9 to 4.2). Moreover, 92% of participants reported satisfaction with the program implementation. These findings demonstrate that the integration of digital training and public accountability ethics can effectively enhance local governance toward a more transparent, efficient, and participatory system. Nevertheless, limited training duration and digital infrastructure remain challenges for long-term implementation. This program serves as a model for digital-based capacity development of village officials in North Sumatra.
Pemanfaatan Teknologi AI untuk Mengembangkan Strategi Digital Marketing Berbasis Data bagi UMKM Desa Karim, Abdul; Syahrizal, Muhammad; Diansyah, Tengku Mohd.
Jurnal Pengabdian Masyarakat Inovasi Vol. 5 No. 1 (2026): February 2026
Publisher : Sekolah Tinggi Ilmu Manajemen Sukma Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35126/jpmi.v5i1.999

Abstract

This community service program aims to enhance the capacity of micro, small, and medium enterprises (MSMEs) in Aek Pamingke Village in utilizing artificial intelligence (AI) for data-driven digital marketing strategies. The activities were conducted through several stages, including needs analysis, intensive training, practical implementation, and evaluation. The initial analysis revealed that most MSME participants had limited knowledge and skills in digital marketing, with 60% categorized as having low understanding before the program. After the training, significant improvement was recorded, with 50% of participants reporting being very satisfied and 35% satisfied. The program’s impact was evident in the participants’ improved ability to design more effective data-driven marketing strategies. The main limitations of this program were the relatively small number of participants and the limited implementation time, indicating the need for extended programs with broader coverage in the future.
Sistem Pendukung Keputusan Pemilihan Kepala Desa Terbaik Menerapkan Metodethe Extended Promethee II (EXPROM II) Nurlela Nurlela; Muhammad Syahrizal; Fadlina Fadlina; Abdul Karim
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 1 No. 3 (2020): Mei 2020
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v1i3.2151

Abstract

Decision Support System is a system that can help management in making the right decision, which is needed at a management level. Likewise at the Lubuk Pakam Sub-District Office in selecting the best village head. So far, the Camat Office has never determined the best village head in Lubuk Pakam Subdistrict, so that it encounters obstacles in choosing the village head election. SPK is able to provide alternative solutions to semi / unstructured problems for individuals or groups and in a variety of decision making processes and styles, SPK uses data, databases and analyzes of decision models. Seeing this, researchers are interested in conducting research by applying the Extended Promethee II (EXPROM II) method to elect the best village head in a decision support system. It is expected that the results of the research can help the Lubuk Pakam sub-district
Sistem Pendukung Keputusan Dalam Menentukan Jenis Pohon Pelindung Yang Akan di Tanam Dipinggir Jalan Menggunakan Metode Promethee II Ardian Fadly Telaumbanua; Muhammad Syahrizal; Murdani Murdani
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 1 No. 3 (2020): Mei 2020
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v1i3.2164

Abstract

A protective tree is a group of plants that have long canopy and thick leaves and trunk high enough to be a shade. Usually a protective tree becomes the main plant in a park. But what we often see is the protective tree planted along the road. Its function aside from being a shade tree is also intended to absorb pollution. It is necessary to determine the selection of the best tree species to be planted on the side of the road. The selection of protective tree species still uses a manual system and requires quite a long time. Based on these problems, we need a decision support system (SPK) that can facilitate the selection of the best protective tree species using existing criteria. One method that can be used is the Preference Ranking Organization Method for Enrichment Evaluation II (PROMETHEE II). This method is able to solve any type of problem in decision making with alternatives and criteria that have been given weight. Research using PROMETHEE II produces the composition of the usual protective trees to the best protective trees. The protective tree selection system was built using Microsoft Visual Studio 2008 and Microsoft Access 2010 as a database.
Implementing SISKEUDES for Village Financial Management in Makeruh Village Syahrizal, Muhammad; Pribadi, Rizky Maulana
Jurnal Ragam Pengabdian Vol. 2 No. 3 (2025): September-Desember "Community Empowerment Through Digital Literacy Programs to
Publisher : Lembaga Teewan Journal Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/kjhyy632

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 village’s 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 Anri Muda Siregar Antonius Antonius Ardian Fadly Telaumbanua Ari Gunawan Rambe Arif, Anggia Armansyah Ritonga Asma Asma Baehaqi Berry Richard Ornos Sinambela 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 Endhika Endhika Enzel Febrianti Telaumbanua 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 Nursahar Buang Oktavian Laksamana Suryo Ongah, Harun Pagan, Darmandra Mirza Peranginangin, Andreas P Pradana, Ari Purba, Rohan Kristini Purnama Sari, Dian Putri Ramadhani Rahayul Kahfi Rakhmaji, Iqbal Renta Gracia Tampubolon Ridha Ismadiah Rika Irwanti Ritonga, Devi Rivalri K. Hondro Rivalri Kristianto Hondro Rizka Rahayu Pasaribu Rizky Indra Saputra 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 Siagian, Edward Robinson Simangunsong, Santi Sinurat, Sinar Sitorus, Jepri Saprianto Situmorang, Dharma Bakti Soeb Aripin Suha Alvita Supiya Supiya Surya Darma Nasution Tengku Mohd Diansyah, Tengku Mohd Teresia Teti Ernawati Ndruru Tesa Aurelia Siregar Thesa Noveninta Ginting Ulfa, Kurnia Vina Winda Sari Wardi, Syah Yuanda, Richa Yuni Andri Ekawati Yuni Shara