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Evaluasi Kepuasan Pelanggan terhadap Kendaraan Motor Vario Menggunakan Metode Simple Additive Weighting (SAW) Rona Guines Purnasiwi; Tundo Tundo
Computer Journal Vol. 3 No. 2 (2025): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v3i2.323

Abstract

This study aims to measure the satisfaction level of Honda Vario motorcycle owners by applying the Simple Additive Weighting (SAW) method. SAW was chosen to evaluate various factors, including price, engine performance, fuel efficiency, safety, and riding comfort. A survey was conducted involving 100 Honda Vario owners to gain insights into their experiences. The results indicate that 18 participants were very satisfied, 39 satisfied, 30 moderately satisfied, and 13 dissatisfied. Comfort and fuel efficiency received the highest appreciation among users. Although some respondents mentioned shortcomings in certain features, most still prefer Honda Vario for daily transportation. These findings can assist manufacturers in understanding customer expectations and considering improvements in product quality as well as after-sales service. For prospective buyers, the results offer useful information to help match their choices with personal needs. By using the SAW approach, the evaluation process becomes more objective, supporting better decisions for both users and manufacturers.
PELATIHAN & SHARING KNOWLEDGE: PENGENALAN FACE RECOGNITION TEKNOLOGI DALAM MENDETEKSI WAJAH Tundo Tundo; Muhammad Rizqi Ramadhan; Andi Saidah
KAMI MENGABDI Vol 6, No 1 (2026): KAMI MENGABDI
Publisher : Universitas 17 Agustus 1945 Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52447/km.v6i1.9609

Abstract

Community service activities related to Training & Knowledge Sharing: Introduction to Face Recognition Technology in Detecting Faces were held at SMAK Penabur 5 with the aim of improving students' understanding and skills in recognizing and utilizing face recognition technology as part of the development of artificial intelligence. In the rapidly developing digital era, the ability to understand biometric-based technology is important, especially in supporting aspects of security, identification, and technological innovation in everyday life. Through this knowledge sharing activity, participants were introduced to the basic concepts of face recognition, the working principles of systems in detecting and recognizing faces, and various methods used in digital image processing. The implementation methods included interactive lectures, case studies, and simple simulations of the use of application-based face recognition technology. The results of this activity showed an increase in students' understanding of the basic concepts of face recognition and awareness of the importance of using technology wisely, especially regarding privacy and data security issues. This activity is expected to be an initial provision for students in recognizing artificial intelligence-based technology and encourage their interest in developing skills in the field of information technology further, so that they are able to face future challenges more adaptively and critically