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All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Sisfotek Global Journal of Computer System and Informatics (JoSYC) Brilliance: Research of Artificial Intelligence Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Ilmu Komputer Jurnal Ilmiah Informatika dan Ilmu Komputer Bulletin of Informatics and Data Science CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Information Technology, Software Engineering and Computer Science
Putra, Ade Dwi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Other

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Analisis Pemilihan Motor Ramah Lingkungan Menggunakan Metode Simple Additive Weighting (SAW) Zaki, Muhammad; Putra, Ade Dwi
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 4 No. 5 (2025): EDISI SEPTEMBER 2025
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v4i5.11829

Abstract

Abstrak Perubahan iklim akibat emisi karbon mendorong kebutuhan akan teknologi ramah lingkungan, salah satunya motor listrik. Motor listrik dianggap lebih efisien dan menghasilkan emisi lebih rendah dibandingkan kendaraan berbahan bakar fosil. Penelitian ini bertujuan menganalisis dan menentukan motor listrik terbaik menggunakan metode Simple Additive Weighting (SAW) berdasarkan kriteria harga, jarak tempuh, daya motor, waktu pengisian, kecepatan maksimal, dan jenis baterai. Data diperoleh melalui observasi dan wawancara dengan pengguna untuk memahami kebutuhan aktual. Tiga alternatif motor listrik yang dibandingkan adalah M100, T90, dan T80. Analisis dengan metode SAW menunjukkan bahwa M100 memiliki skor tertinggi sebesar 0,91, mengungguli T90 (0,79) dan T80 (0,57). Hasil ini mengindikasikan bahwa M100 merupakan pilihan paling sesuai dari sisi performa dan efisiensi berdasarkan kriteria teknis. Metode SAW terbukti efektif dalam mendukung pengambilan keputusan multikriteria untuk pemilihan kendaraan ramah lingkungan. Penelitian selanjutnya disarankan menambahkan kriteria sosial dan lingkungan seperti jejak karbon produksi dan biaya perawatan, serta melibatkan preferensi pengguna dari berbagai latar belakang untuk analisis yang lebih komprehensif..
Decision Support System for Best Honorary Teacher Performance Assessment Using a Combination of LOPCOW and MARCOS Putra, Ade Dwi; Arshad, Muhammad Waqas; Setiawansyah, Setiawansyah; Sintaro, Sanriomi
Journal of Computer System and Informatics (JoSYC) Vol 5 No 3 (2024): May 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i3.5127

Abstract

Teachers are the main pillars in the formation and development of future generations. They not only pass on knowledge, but also play an important role in guiding, inspiring, and shaping the character of students. The main problems in selecting the best honor teachers are limited resources and a less systematic evaluation process, lack of transparency and consistency in the selection process can also lead to dissatisfaction and injustice among honor teachers. Through the combination of LOPCOW and MARCOS, this research succeeded in producing a more accurate and accountable ranking in the selection of the Best Honorary Teacher. The LOPCOW approach provides a deep understanding of percentage changes against set criteria, while MARCOS assists in weighting compromise solutions that can optimally meet those criteria. Thus, the study provides a more holistic and detailed view of various aspects of teacher quality and performance, enabling better decision-making in selecting the Best Honorary Teachers who meet educational needs and advance student learning. The ranking results showed that the assessment results from the LOPCOW and MARCOS methods gave results, namely rank 1st with a final value of 0.3404446 obtained by SF Teachers, 2nd place with a final value of 0.3367384 obtained by LBS Teachers, and 3rd place with a final value of 0.3343083 obtained by ASB Teachers.
Co-Authors Abdillah, Adrian Ahmad Ari Aldino Alita, Debby An’ars, M. Ghufroni Ardiansah, Temi Arshad, Muhammad Waqas Arzyah, Muhammad Fikri Dedi Darwis Djutalov, Roeslan Elistiawan, Andri Fernando, Yusra Khaerunnisa, Fairuz Syifa Muhammad Irham Muhammad Zaki Ranti, Silvia Samsoni, Samsoni Sanriomi Sintaro Setiawansyah Setiawansyah Sinaga, Ronaldo Susanto, M. Ridho Diontoro Syah, Rizky Firman Yuri Rahmanto