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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Journal of Applied Data Sciences JPM: JURNAL PENGABDIAN MASYARAKAT Bulletin of Computer Science Research Journal of Social Responsibility Projects by Higher Education Forum KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Masyarakat Gemilang (JPMG) Jurnal Bangun Abdimas Jurnal Informatika dan Teknologi Informasi Journal of Computing and Informatics Research Buletin Ilmiah Informatika Teknologi DUNIA KEPERAWATAN: JURNAL KEPERAWATAN DAN KESEHATAN Jurnal Pengabdian Harapan Bangsa Jurnal Teknologi Ilmu Komputer Portal Riset dan Inovasi Sistem Perangkat Lunak Journal of Decision Support System Research Jurnal Mitra Pengabdian Farmasi

Abdul Karim

Universitas Labuhanbatu

Author-ID : 3729576

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Transportation Other

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Pelatihan Digital Marketing dalam Meningkatkan Kompetensi Siswa SMK Negeri 1 Rantauprapat Abdul Karim; Kusmanto Kusmanto; Mhd Bobbi Kurniawan Nasution; Sudi Suryadi
Journal of Social Responsibility Projects by Higher Education Forum Vol 3 No 2 (2022): November 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

The purpose of this training is to provide an understanding of digital marketing for students of SMK Negeri 1 Labuhanbatu Regency so that they have competence in the field of digital marketing and have an entrepreneurial spirit when they graduate from school. This training was created by utilizing Facebook as one of today's electronic marketing platforms. Facebook is one of the social media that is currently developing and can help in doing digital marketing (Digital Marketing). SMK Negeri 1 Labuhanbatu Regency is one of the schools that has an Online Business major. The activity method in its implementation uses various methods such as lectures, discussions, questions and answers, and provides training on Facebook pages. The results of the activity provide digital marketing training for students to become marketers and entrepreneurs.

Implementasi Metode Multi-Objective Optimization On The Basis Of Ratio Analysis dalam Seleksi Mahasiswa Program Indonesia Pintar Abdul Karim
Bulletin of Computer Science Research Vol. 3 No. 5 (2023): Agustus 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i5.283

The Smart Indonesia Program (PIP) is assistance in the form of cash, expanding access, and learning opportunities from the government which are given to students and students who come from poor or vulnerable families to finance education. This study uses decision support system techniques with the Multi-Objective Optimization method basically of Ratio Analysis (MOORA) which can help in determining a good ranking. Criteria for Rapot Score, Parents' Income, Achievement, Place of Residence, PKH Recipients, KKS Participants. The results of applying the MOORA method of selecting the Smart Indonesia Student Selection Program are types with a value of 0.191937493 in Alternanip A10

Pelatihan Desain Grafis For Kids dengan Paint dalam Mendukung Kabupaten Labuhanbatu Layak Anak Abdul Karim
Journal of Social Responsibility Projects by Higher Education Forum Vol 4 No 1 (2023): Juli 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v4i1.3756

Graphic design for children has an important role in the overall development of a child. A well-designed product or environment can stimulate children's imagination, creativity and thinking abilities. Good design can also help children learn and interact with their environment in a positive way. This training uses the Paint application which is easy to use and suitable for beginners. The purpose of this training is to provide children with an understanding of graphic design so that they understand the meaning of the design itself and can utilize technology and encourage child-friendly district programs in Labuhanbatu. The results of this training will be so that children can understand and be able to utilize design as one of their skills. The results of this training will be so that children can make a standard design they want.

Sistem Pendukung Keputusan Penerimaan Analis Di Pusat Penelitian Kelapa Sawit Menggunakan Metode Complex Proportional Assessment (Copras) Nurliadi; Abdul Karim
Buletin Ilmiah Informatika Teknologi Vol. 2 No. 1: September 2023
Publisher : AMIK STIEKOM SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Acceptance of analysts at the Palm Oil Research Center is an important process that requires the right decision. In this context, Decision Support Systems (DSS) can be used to assist decision making using the Complex Proportional Assessment (COPRAS) method. The COPRAS method is an effective method for making multi-criteria decisions. In this research, we apply the COPRAS method in SPK for analyst recruitment at the Palm Oil Research Center. The steps taken include identifying criteria, determining criteria weights, evaluating alternatives, normalization and aggregation, as well as ranking and selecting candidate analysts. The criteria considered in this research include educational qualifications, work experience, skills and competencies, communication skills, as well as motivation and personality. Each criterion is given a weight to reflect its relative importance. Prospective analysts are evaluated based on predetermined criteria, giving a score or grade that reflects their level of suitability to those criteria. Criterion scores are normalized and aggregated to obtain a total score for each candidate analyst. Based on the total score, analyst candidates are ranked, and the Palm Oil Research Center can select the analyst candidate with the highest ranking for acceptance. The application of the COPRAS method in the SPK for accepting analysts at the Palm Oil Research Center is expected to increase the efficiency and accuracy of decision making. This method allows combining subjective preferences and objective information, resulting in more structured and accountable decisions.

Sistem Pakar Deteksi Penyakit Otitis dengan Perbandingan Metode Certainty Factor, Teorema Bayes, dan Dempster Shafer Abdul Karim; Shinta Esabella; Mhd Ali Hanafiah; Muhammad Bobbi Kurniawan Nasution; Andi Ernawati
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i4.6595

Otitis, especially otitis media, otitis externa, and otitis interna, is a common health issue in humans. Accurate identification and diagnosis are crucial for effective treatment. Expert systems have become an effective solution in this field as they can leverage medical knowledge to support decision-making processes. This research aims to develop an Expert System for Otitis Disease Detection using three different methods: Certainty Factor (CF), Bayes' Theorem, and Dempster-Shafer Method. The CF method is used to measure the level of confidence in decision-making, Bayes' Theorem utilizes probabilities to support diagnosis, and Dempster-Shafer matches previous cases with current symptoms to provide diagnostic recommendations. In this study, otitis symptom data were collected from previously diagnosed patients to train the expert system. The system was then tested with new cases to analyze the performance and accuracy of each method. The research results indicate that all three methods have the potential to detect otitis disease with varying levels of accuracy. In some situations, one method may outperform the others, suggesting that using a combination or integration of methods can enhance diagnostic accuracy. This research makes a significant contribution to the development of expert systems in the healthcare and medical services field. It is expected to assist doctors in the faster and more accurate diagnosis of otitis diseases. The calculation results show that the Certainty Factor method has the highest confidence level in diagnosing otitis media (86%), otitis externa (79%), and otitis interna (87%). While Dempster-Shafer has lower confidence levels in all cases, it still provides a significant contribution in certain situations.

Implementation of the Multi-Objective Optimization Method on the Basic of Ratio Analysis (MOORA) and Entropy Weighting in New Employee Recruitment Abdul Karim
Journal of Information System Research (JOSH) Vol 5 No 2 (2024): Januari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i2.4859

The problems faced by the company in managing the selection of new employees must be done in the right way so that it can help a good work cycle. The employee recruitment process still uses manual methods so the Human Resource Development (HDR) division has to sort, select and select applicants one by one. The large number of applicants means that the Human Resource Development division often experiences difficulty in selecting prospective employees and there is subjectivity when deciding which employees fit the established criteria. To overcome the problem of making employee recruitment decisions, we will use the Multi-Objective Optimization method based on ratio analysis (MOORA) and weighting using Entropy. In research, data is collected based on the position of prospective employees. The results obtained in this research determine each position that will be accepted by 3 prospective employees, namely Sales Position, Position, Graphic Design, Accounting Staff, IT Support position, Sales Project.

Decision Support System for Determining the Best School Extracurricular Activities by Combining the ROC and MAUT Methods Jahril; Abdul Karim; Erlin Windia Ambarsari; Agus Perdana Windarto
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.v3i3.1493

The various extracurricular activities at school make students confused and difficult to choose which extracurricular activities are more suitable for participation. However, sometimes there are also students choosing extracurricular activities based on many of their friends. Therefore, determining the best school extracurricular activities is the best solution for students as a reference to find which is the best extracurricular activity. The criteria used in this study in choosing the best extracurricular activities are Regional Event Activities, Allocation, Creativity and Talent Channeling. By utilizing SPK, decision makers can make more systematic decisions, based on a deeper understanding of the various alternatives available and relevant criteria. SPK or decision support system is a technique that has the ability to determine a decision using a technical design based on alternatives and predetermined criteria. SPK or decision support system is a technique that has the ability to determine a decision using a technical design based on alternatives and predetermined criteria. In the context of extracurricular school selection, combining the ROC (Rank Order Centroid) and MAUT (Multi-Attribute Utility Theory) methods in a Decision Support System is an interesting approach. The ROC method is used to cluster and rank schools based on certain criteria, while MAUT helps in the calculation of appropriate weights for these criteria. By integrating these two methods, the SPK can provide a more structured guideline in the selection of extracurricular activities that suit students' interests and needs. The research results obtained show that the Futsal alternative is the first recommendation as the best extracurricular with a final value of 0.655086.

Penerapan Metode Weighted Product (WP) Dalam Keputusan Rekomendasi Pemilihan Manager Penjualan Rizal, Chairul; Siregar, Saidi Ramadan; Supiyandi, Supiyandi; Armasari, Selly; Karim, Abdul
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

The best employees are very important assets for the company, because of that sales companies need a system that can choose the best employees objectively and optimally so that they are right in choosing the best employees who will have an impact on the progress of the company. To be able to solve the problem the author conducted research using a Decision Support System using the Weighted Product (WP) method. The WP method is part of the Multiple Attribute Decision Making (MADM), which requires a normalization process to be calculated. This method in detail calculates the weight of the value of each criterion. The final result of the research shows that the 10th alternative (A10) with a Preference Value of 0.1120 was chosen to be the best employee recommended in the selection of sales manager

Sistem Pendukung Keputusan Penilaian Kinerja Ketua Program Studi Menerapkan Metode WASPAS dengan Pembobotan ROC Nasution, Mhd Bobbi Kurniawan; Kusmanto, Kusmanto; Karim, Abdul; Esabella, Shinta
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

The head of the study program is a figure who plays an important role in the progress of each study program at a university. The head of the study program has a role in the decision-making process and in carrying out managerial policies. In addition, the head of the study program is also a person who is able to ensure the creation of a conducive atmosphere in the service process to students and also the scope of work in the study program. Therefore, awarding the head of the study program based on the performance shown is a form of appreciation for the performance given by the head of the study program. The process of evaluating the performance of the head of the study program is not only an assessment of the academic field but also an assessment of the managerial. In the process of evaluating the performance of the head of the study program, a computerized tool is needed or commonly called a Decision Support System. The decision support system also has several settlement methods that are used as a reference, one of the methods that can be used is the WASPAS method. In addition to the methods used to support decisions, there are also methods that can be used for weighting each assessment criteria such as the ROC method. In this research, we will use the ROC weighting method on the assessment criteria and the process of evaluating the performance of the head of the study program using the WASPAS method. The results achieved in the research are to obtain an objective and accountable process of evaluating the performance of the study program leader. In the research that has been carried out, it is found that the Head of the Study Program who gets the reward is the Head of the Study Program with alternative A2 and the preferred value is 0.958

Penerapan Metode Multi-Objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA) dalam Penentuan Lulusan Mahasiswa Terbaik Karim, Abdul; Esabella, Shinta; Andriani, Titi; Hidayatullah, Muhammad
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

The problems that are often faced by the campus in the management of selecting the best students which are carried out once a year in a series of graduation events are the length of the process of calculating student data which is still done manually, criteria that have not been fulfilled optimally and are still based on value calculations alone, and processing is still manual. so that errors and data errors often occur which are quite fatal, subjective selection is still a common problem in the world of education so it is necessary to select outstanding students using a system. The system used is a decision support system that has the quality and logic of a method in a selective selection process with a high level of accuracy, while the method used is the MOOSRA method which is a decision support system method that is easy to understand and systematic stages that are easy to do. The results in this study were a student named Zainal as the owner of the highest score of 0.418397, accurate, efficient and effective results in the use of a decision support system made the selection process much more reliable

Co-Authors Agus Perdana Windarto Agustina Sidabutar Agustina, Asri Widya Ahyuna Ahyuna, Ahyuna Aldiansyah, Ferry Alfarisi Pasaribu, Ahmad Ambiyar, Ambiyar Andi Ernawati Andi Ernawati Andriani, Titi Aritonang, Putri Armasari, Selly Arridha Zikra Syah Asyahri Hadi Nasyuha Awfa, Qifari Bangun, Budianto Bernadus Gunawan Sudarsono Bobbi Kurniawan Nasution, Muhammad Cheylani Lukito, Salwa Christiorenfa Br Haloho, Agatha Daulay, Nelly Khairani Dayu Sari, Arini Dhea Ananda, Tasya Efendi Hutagalung, Jhonson Efendi, Safri Erlin Windia Ambarsari Fadli, Muhammad Bagus Fadlina Fahmi Rizal Febriani, Budi Fifto Nugroho Garuda Ginting Harahap, Armyka Pratama Hasibuan, Awaludin Heni Pujiastuti Hersatoto Listiyono Hidayatullah, Muhammad I Wayan Sugianta Nirawana Imam Saputra Indah Sari, Leni Indrayani, Puput Iwan Purnama Iwan Purnama Jahril Jeperson Hutahaean Kraugusteeliana Kraugusteeliana Kusmanto Kusmanto Kusmanto Kusmanto M. Rafi Mardinata, Erwin Marha As, Pawa Niassa Meryance Viorentina Siagian Mesran, Mesran Mhd Ali Hanafiah Mhd Bobbi Kurniawan Nasution Muhammad Bobbi Kurniawan Nasution Muhammad Hamka Muhammad Syahrizal Nababan, Dosmaida Nasution, Mhd Bobbi Kurniawan Nasution, Muhammad Bobbi Kurniawan Natalia Silalahi Nona Oktari Nurlela Nurlela Nurliadi Pane, Rahmadani Pane, Siddik Pohan, Tatang Hidayat Poningsih Pratama, Armyka Purba, Elvitrianim Purba, Elvitrianim Putra Juledi, Angga Putri, Nathania Rahman, Ben Rizal, Chairul Rohani Rohani Saidi Ramadan Siregar Saludin Muis Sartika Br Siregar, Amanda Sempurna, Teguh Shinta Esabella Siagian, Yessica Siddik Siregar, Anwar Sinulingga, Raja Ingata Siregar, Feby Khairunnisya Siti Sahara Nasution Soeb Aripin Suha Alvita Suhada, Karya Sundari Retno Andani Supiyandi Supiyandi Suryadi, Sudi Sutrino Dwi Raharjo Syahputra Harahap, Hasmi Triana, Dewi Trianovie, Sri Trianovie, Sri Unung Verawardina Uswatun Hasanah Vita S. Siregar, Siony Wilson, Eric Yessica Siagian Yulizar, Isma Ahmad Zebua, Yuniman Zulkifli Zulkifli Zuly Budiarso

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