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All Journal Bulletin of Computer Science Research Abdi-Dharma CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Jurnal Informatika dan Rekayasa Perangkat Lunak
Oprasto, Raditya Rimbawan
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Social Sciences

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Peningkatan Konten Media Sosial Melalui Pelatihan Desain Poster Dengan Canva Bagi Anak Asuh Vihara Nimmala Wijaya, Hartana; Giap, Yo Ceng; Oprasto, Raditya Rimbawan; Kusuma, Ellysha Dwiyanthi; Kusuma, Lianny Wydiastuty
Abdi Dharma Vol. 3 No. 2 (2023): Jurnal Abdi Dharma (Jurnal Pengabdian Masyarakat)
Publisher : LP3kM Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/ad.v3i2.2245

Abstract

Dalam era digital saat ini, media sosial (medsos) telah menjadi sarana penting untuk berkomunikasi dan memperluas jangkauan suatu organisasi atau komunitas. Namun, kekurangan pengetahuan dan keterampilan desain grafis sering kali menjadi hambatan dalam menghasilkan konten medsos yang menarik dan efektif. Metode pelatihan yang digunakan dalam penelitian ini adalah menggunakan platform Canva, sebuah alat desain grafis online yang intuitif dan mudah digunakan. Sebanyak 30 anak asuh Vihara Nimmala berpartisipasi dalam pelatihan ini. Pelatihan mencakup dasar-dasar desain grafis, penggunaan alat-alat Canva, dan prinsip-prinsip desain yang efektif dalam konteks media sosial. Hasil kuesioner yang disampaikan ke peserta menunjukkan bahwa pelatihan desain poster dengan Canva ini merasa sangat puas terhadap penyampaian materi, pelaksanaan, kebermanfaatan dan keberlanjutan kegiatan ini kepada para anak asuh agar dapat menghasilkan konten medsos yang menarik dan profesional. Para peserta pelatihan mampu mengaplikasikan pengetahuan dan keterampilan yang mereka peroleh untuk membuat poster-promosi kegiatan Vihara Nimmala yang menarik perhatian dan meningkatkan partisipasi. Selain itu, pelatihan ini juga memberikan manfaat tambahan seperti peningkatan keterampilan teknologi informasi dan komunikasi, meningkatkan rasa percaya diri, serta memperluas wawasan anak asuh tentang potensi dan penggunaan medsos secara positif. Hasil penelitian ini memberikan implikasi penting bagi pengembangan anak asuh dalam memanfaatkan media sosial sebagai alat untuk menyebarkan pesan dan memperluas jangkauan Vihara Nimmala. Pelatihan desain poster dengan Canva dapat menjadi pendekatan yang efektif dalam meningkatkan konten medsos yang menarik, informatif, dan berdampak positif bagi komunitas Vihara Nimmala serta masyarakat luas.
An Entropy-Assisted COBRA Framework to Support Complex Bounded Rationality in Employee Recruitment Oprasto, Raditya Rimbawan; Wang, Junhai; Pasaribu, A Ferico Octaviansyah; Setiawansyah, Setiawansyah; Aryanti, Riska; Sumanto
Bulletin of Computer Science Research Vol. 5 No. 3 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i3.505

Abstract

In the employee recruitment process, decision-making often involves many criteria and relies on the subjective judgment of the decision-maker. The main problem lies in how to develop a decision support system that can overcome this complexity while maintaining rationality and objectivity. This study aims to apply a hybrid framework based on the entropy and COBRA methods to support objective decision-making in the employee recruitment process, and to overcome the limitations of subjectivity and bounded rationality in candidate selection with a structured data-driven approach. The entropy method is used to objectively determine the weight of criteria based on data variations, thereby helping to reduce subjectivity in decision-making and increase the rationality of COBRA analysis results. The results of the final calculation using the Entropy-COBRA method, were ranked nine candidates based on their final scores which reflected relative proximity to the ideal solution in the recruitment process. The candidate with the lowest score is considered to be the closest to the ideal solution and has the best overall performance. Raka employees ranked first with a final score of -0.0618, followed by Andra in second place with a score of -0.0597, and Fajar in third place with -0.0357. The results of the final score in the COBRA method with a lower score indicate that an alternative shows superior performance over the other. This framework makes a real contribution to data-driven decision-making for human resource management, particularly in the context of recruitment involving multiple criteria and alternatives.
Penerapan Metode Profile Matching Dalam Evaluasi Kinerja Karyawan Oprasto, Raditya Rimbawan
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 2 No. 2 (2024): Volume 2 Number 2 April 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v2i2.112

Abstract

Employee performance is an evaluation of individual contributions and achievements in achieving goals and work standards set by the company. Employee performance evaluation covers various aspects, including productivity, quality of work, compliance with company policies, as well as the ability to collaborate and adapt to the work team. One of the problems that occurs is the lack of clarity in determining evaluation criteria that are appropriate and relevant to organizational goals. Appraiser objectivity can arise from subjective preferences or unfair appraisals of appraisers towards certain employees, and lack of consistency in the application of evaluation standards and the unavailability of adequate data can also hinder the effective performance evaluation process. The profile matching method in employee performance evaluation involves comparing an individual's performance profile with an expected or desired profile for a particular position or role in the organization. The purpose of this study is to apply the profile matching method in evaluating employee performance so that it will produce the best performance recommendations from existing employees. The profile matching method is not only an employee performance evaluation tool, but also a powerful management strategy to increase productivity, motivation, and job satisfaction in the workplace. The results of employee performance evaluation using the profile matching method recommend Rina as the employee with the best performance because she gets a total score of 4.5175 and gets 1st place.
Multi-Criteria Decision Model for Ranking the Best Marketplace Using CRISUS Weighting and OPARA Ranking Thalib, Akil; Asistyasari, Ayuni; Nuryaman, Yosep; Oprasto, Raditya Rimbawan; Yudhistira, Aditia
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2026): Volume 7 Number 1 March 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v7i1.1568

Abstract

The rapid growth of e-commerce marketplaces in Indonesia has increased competition among platforms and created challenges in identifying the most suitable marketplace for users and businesses. Previous studies commonly applied conventional Multi-Criteria Decision-Making (MCDM) approaches, yet many of these methods rely heavily on subjective weighting or limited data-based evaluation, which may lead to inconsistent ranking results. Therefore, this study aims to develop a more objective decision-making model for marketplace evaluation by integrating the CRISUS weighting method with the OPARA ranking approach. The dataset consists of quantitative marketplace performance indicators collected from public digital statistics, including monthly visits, annual visits, application ratings, number of downloads, and the number of active sellers for several major marketplaces operating in Indonesia. The CRISUS method is used to determine criterion weights based on actual data variation to reduce subjective bias, while OPARA evaluates the alternatives through an optimized pairwise ratio mechanism to obtain the final preference values. The experimental results indicate that Shopee achieves the highest score of 0.3078, followed by Lazada with 0.2476 and Tokopedia with 0.2327, demonstrating their stronger performance compared with other marketplace alternatives based on the evaluated criteria. These findings contribute both academically and practically by providing a transparent and data-driven MCDM framework that improves the reliability of marketplace ranking and can support stakeholders in making more informed platform selection decisions.
Co-Authors Aditia Yudhistira Akil Thalib Asistyasari, Ayuni Hartana Wijaya Kusuma, Ellysha Dwiyanthi Kusuma, Lianny Wydiastuty Nuryaman, Yosep Pasaribu, A. Ferico Octaviansyah Riska Aryanti Setiawansyah Setiawansyah Sumanto, Sumanto Wang, Junhai Yo Ceng Giap