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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)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.173 KB) | DOI: 10.47065/jrespro.v3i2.2759

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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. 
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (317.679 KB) | DOI: 10.47065/bits.v3i3.1094

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (371.205 KB) | DOI: 10.47065/bits.v4i1.1619

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (373.01 KB) | DOI: 10.47065/bits.v4i1.1630

Abstract

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
Sistem Pendukung Keputusan Aplikasi Bantu Pembelajaran Matematika Menggunakan Metode EDAS Karim, Abdul; Esabella, Shinta; Hidayatullah, Muhammad; Andriani, Titi
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2494

Abstract

Technological developments have occurred at this time. The rapid development of technology forces students to be wiser in using it. One of the functions of technology is to become a learning medium like a cell phone. HP, which has become an obligation for students, has given rise to ideas for experts to bring up many new applications, especially in the field of mathematics. The emergence of these various applications makes students confused to choose which one is feasible to choose. To solve this problem, a Decision Support System is needed. SPK is a computer-based system whose function is to assist parties or individuals who need it, especially in making a decision. SPK can function properly, if you use the method. The method used in Ono's research is the EDAS method. The EDAS method is a method that uses a formula or formula, where the decision is generated from positive and negative distances. Based on this study, the results were found, namely alternative A1 with the name of the application, namely QANDA with a value of 0.0767 as the highest score
Sistem Pendukung Keputusan Dalam Rekomendasi Kelayakan nasabah Penerima Kredit Menerapkan Metode MOORA dan MOOSRA Kusmanto, Kusmanto; Nasution, Mhd Bobbi Kurniawan; Suryadi, Sudi; Karim, Abdul
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2610

Abstract

In selecting credit recipients, it is necessary to have a recipient selection system that can overcome the problem of bad credit that often occurs (loans that are not repaid by the debtor). Based on this problem, a decision support system is needed that helps identify the wrong recipient. The method used in this study is the Moora method and the Moosra method, namely the method for determining priorities. A decision support system is a computer-based system consisting of interacting components: a language system component, a knowledge system component, and a problem-handling system component, and uses data and decision-making models to create semi-structured problems. It solves structured problems and semi-structured problems. and assist in decision making. Structured and unstructured problems, this system helps you get information about your customers, the results are more accurate and on target
Co-Authors 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 Dito Putro Utomo Efendi Hutagalung, Jhonson Efendi, Safri 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 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