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All Journal Journal of Computer System and Informatics (JoSYC) Bulletin of Computer Science Research Journal of Social Responsibility Projects by Higher Education Forum Bulletin of Informatics and Data Science
Mesran Mesran
Sekolah Tinggi Ilmu Manajemen Sukma Medan, Medan
Aerospace Engineering Agriculture, Biological Sciences & Forestry 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 Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Social Sciences

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Comparative Analysis of MCDM Methods in Employee Award Ranking Roznim binti Mohamad Rasli; Mesran Mesran; Ridha Maya Faza Lubis
Bulletin of Informatics and Data Science Vol 5, No 1 (2026): May 2026
Publisher : PDSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61944/bids.v5i1.141

Abstract

Awards are an important form of appreciation for outstanding employees, but the process of selecting recipients is often faced with various challenges, especially in assessing subjective aspects of performance. To overcome this, the Multi-Criteria Decision Making (MCDM) method can be an effective solution. MCDM offers a systematic framework for evaluating various alternatives (in this case, employees) based on a number of relevant criteria. By using the MCDM method, the process of selecting award recipients can be carried out more objectively and transparently. Some commonly used MCDM methods, such as MAUT, OCRA, and CoCoSo, have their own advantages and disadvantages. This study aims to compare the three methods specifically in the context of selecting employee award recipients. The final results obtained show that the best alternative is A6, where the results of the three methods look the same position or location in the ranking. After a comparative analysis of the three methods, it can be concluded that the OCRA method is the best method in terms of ranking consistency compared to the other two methods. Thus, it is hoped that recommendations for the most suitable MCDM method can be obtained to be applied in similar situations
Sistem Pendukung Keputusan Pemilihan Content Creator TikTok Terbaik Menggunakan Metode Simple Additive Weighting (SAW) dengan Pembobotan Rank Order Centroid (ROC) Ratu Adnin Jahraini; Sanwani Sanwani; Besus Maula Sulthon; Syamsimahara Siregar; Pahotton Hutabarat; Mesran Mesran
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.918

Abstract

In this selection of the best TikTok Content Creator using the Rank Order Centroid (ROC) and Simple Additive Weighting (SAW) methods. ROC and SAW were chosen because they are simple and efficient and can allow proper weighting of criteria and proper ranking. Many factors must be considered in choosing TikTok Content Creators. The selection of the best TikTok content creators is useful for helping audiences assess and select quality content and can add insight and entertainment that is useful for the future. Judging must also be based on predetermined criteria. There are five criteria that are assessed such as creativity, originality, content quality, interaction, ethics. The results of the assessment of each criterion will be normalised and the total weight calculated. The system will sort from the highest value as the first and last rank. With the existence of a decision support system that uses the ROC and SAW methods, it can make it faster and easier to make decisions to choose the best TikTok Content Creator according to predetermined criteria. Ranking results in applying the SAW method shown in table 5 above, the best alternative is the first rank produced, namely A10 with a final acquisition value of 0.956. The second rank is alternative A3 with a final value of 0.935 and the third rank is alternative A1 with a final value of 0.909.
Enhancing Digital Marketing Skills and Business Innovation to Increase Competitiveness and Household Income of Home-Based Workers Mesran Mesran; Suginam Suginam; Wardayani Wardayani; Dian Purnama Sari; Rizkah Fadillah; Mohd Imran Bin Ahmad Kamal; Rosnizam Rosnizam; Dodi Siregar
Journal of Social Responsibility Projects by Higher Education Forum Vol 7 No 1 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v7i1.10774

Abstract

This community service program aimed to enhance digital marketing skills and business innovation among home-based workers in the PPR Seri Sena Community, Kangar, Perlis, Malaysia. The activity was conducted on 13 April 2026 and involved ten participants from the partner community. The program was implemented through a needs assessment, preliminary observation, interviews and discussions with the community, preparation of training materials, an interactive workshop, practical demonstrations, question-and-answer activities, and program evaluation. The training focused on social media utilization, digital marketing, promotional features, digital branding, product differentiation, and business innovation. The evaluation results showed that participants’ understanding of social media utilization for business purposes increased from 44% before the program to 83% after the activity, representing an improvement of 39 percentage points. Understanding of social media promotional features increased from 20% to 75%, representing an improvement of 55 percentage points. These findings demonstrate that participatory and practice-oriented digital marketing training can effectively strengthen the digital competencies of home-based workers and support their readiness to improve business competitiveness. Nevertheless, the program was limited by the small number of participants and the short-term evaluation period, so further mentoring and longitudinal evaluation are recommended to examine its effects on business performance and household income.
Strengthening the Role of Students in Environmental Conservation through Environmental Education and Sustainable Tree-Planting Actions Ayu Winda Rizky; Wardayani Wardayani; Mesran Mesran; Dian Purnama Sari; Rizkah Fadillah; Mime Azrina Jaafar; Rosnizam Rosnizam
Journal of Social Responsibility Projects by Higher Education Forum Vol 7 No 1 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v7i1.10788

Abstract

Environmental degradation and the declining quality of urban green spaces require collaborative conservation initiatives involving higher education institutions and university students. This community service program aimed to strengthen the role of students in environmental conservation through environmental education and sustainable tree-planting activities conducted at Medan Urban Forest on 22 June 2026 involving fifteen students from the Management Study Program of Sekolah Tinggi Ilmu Manajemen Sukma. The program employed an integrated approach consisting of environmental education, participatory discussions, practical planting of mango (Mangifera indica) and mangosteen (Garcinia mangostana) trees, and post-activity evaluation. The results demonstrated significant improvements in participants' environmental competence, with ecosystem knowledge increasing from 41% to 85%, environmental awareness from 65% to 98%, environmental responsibility from 35% to 100%, and environmental empathy from 51% to 78%. Participant satisfaction was also highly positive, with 55% reporting being very satisfied, 34% satisfied, and 11% moderately satisfied with the implementation of the program. These findings indicate that integrating environmental education with experiential conservation activities effectively enhances environmental literacy, strengthens pro-environmental attitudes, and encourages active participation in sustainable environmental stewardship. Therefore, this community service program provides a practical and replicable model for universities seeking to integrate environmental education, student empowerment, and community engagement in support of sustainable urban environmental conservation.
Sentiment Analysis of Tokopedia Customer Reviews using IndoBERT and SMOTE for Class Imbalance Handling Imam Saputra; Mesran Mesran; Guidio Leonarde Ginting
Journal of Computer System and Informatics (JoSYC) Vol 7 No 1 (2025): November 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v7i1.8748

Abstract

Sentiment analysis in the Indonesian e-commerce sector faces significant challenges due to the informal nature of language and severe class imbalance, where neutral reviews are often underrepresented. This research proposes a hybrid framework combining the deep semantic capabilities of IndoBERT with the Synthetic Minority Over-sampling Technique (SMOTE) to improve classification fairness. Using a dataset of Tokopedia customer reviews, this study compares a baseline model against a balanced model using SMOTE on 768-dimensional IndoBERT features. The experimental results reveal that while the baseline model achieved a high overall accuracy of 83%, it suffered from an "accuracy paradox," exhibiting a dismal recall of only 0.07 for the neutral class. Upon implementing SMOTE, the neutral class recall surged to 0.29, marking a significant 314% improvement in minority class detection. Although overall accuracy slightly decreased to 81%, the Macro Average F1-Score increased from 0.61 to 0.65, proving that the model is more robust and objectively reliable across all sentiment polarities. This study demonstrates that sacrificing marginal accuracy for improved minority sensitivity is vital for providing accurate business intelligence in the digital marketplace. These findings provide a robust roadmap for developing more equitable automated sentiment analysis systems in Indonesia.
Co-Authors Ayu Winda Rizky Besus Maula Sulthon Dian Purnama Sari Dodi Siregar Guidio Leonarde Ginting Imam Saputra Mime Azrina Jaafar Mohd Imran Bin Ahmad Kamal Pahotton Hutabarat Ratu Adnin Jahraini Ridha Maya Faza Lubis Rizkah Fadillah Rosnizam Rosnizam Roznim binti Mohamad Rasli Sanwani Sanwani Suginam Suginam Syamsimahara Siregar Wardayani Wardayani