Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Information Technology, Software Engineering and Computer Science

Metode A New Additive Ratio Assessment (ARAS) Dalam Penentuan Pegawai Honor Berprestasi Badiwibowo Atim, Sandi; Arundaa, Rillya
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 2 No. 1 (2024): Volume 2 Number 1 January 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v2i1.96

Abstract

The determination of outstanding honor employees is not only a form of recognition for outstanding performance, but also a motivator to encourage professional growth and individual empowerment in the work environment. This study aims to apply the ARAS method in determining outstanding honor employees so that the results of recommendations become considerations for leaders in determining outstanding honor employees. This study aims to apply the ARAS method in determining outstanding honor employees so that the results of recommendations become considerations for leaders in determining outstanding honor employees. The ranking results show the results of rank 1 with the final value of the ARAS method of 0.9915 obtained by the name of employee B, rank 2 with the final value of the ARAS method of 0.985 obtained by the name of employee D, rank 3 with the final value of the ARAS method of 0.924 obtained by the name of employee A.
Penerapan Metode Multi-Attributive Border Approximation Area Comparison Dalam Rekomendasi Pemilihan Mobil Second Badiwibowo Atim, Sandi
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) 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/itsecs.v2i2.111

Abstract

Used cars or often referred to as second cars, are a popular choice for many consumers because they offer more affordable value compared to new cars. Used vehicles often have lower prices, which makes them more accessible to many people. The application of the MABAC method in used car selection recommendations helps consumers to make more informed and informed decisions. By using MABAC, important factors such as physical condition, price, vehicle age, completeness of documents, and fuel efficiency. This method allows buyers to evaluate used cars based on their personal preferences and needs, resulting in recommendations that better fit the desired criteria. The results of the secong car selection recommendation are Alternative 2 with a final value of 0.921 getting rank 1, then Alternative 3 with a final value of 0.821 getting rank 2, and Alternative 4 with a final value of 0.621 getting rank 3.