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Pemilihan Biji Kopi Lokal Terbaik Untuk Coffee Shop Di Medan Menggunakan Metode CoCoSo Indah Aprillia; Arrijal Ari Daulay; Karina Rahmadina; Yuyun Dwi Lestari; David David
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.698

Abstract

Ekonomi Indonesia sangat bergantung pada kopi. Indonesia termasuk di antara produsen kopi terbesar di dunia, setelah Brasil dan Vietnam dalam hal produksi. Baik tanaman kopi Arabika maupun Robusta ditanam dan dijual secara luas di Indonesia. Kopimemiliki berbagai macam rasa. Studi ini akan berfokus pada memberikan saran kepada pengguna Sistem Pendukung Keputusan(SPK) menggunakan pendekatan Multiple Criteria Decision- Making. Halnya MCDM mempunyai beragam teknik yang berbedadalam memberi bantuan menghasilkan rekomendasinya dalam pemilihan biji kopi terbaik. Metode MCDM yang akan diterapkandalam pada studi ini yakni CoCoSo. Temuan dari perhitungannya memakai metodologi CoCoSo memperlihatkan biji kopi ArabikaGayo merupakan biji kopi terbaik. Penelitian ini menghasilkan 3 alternatif biji kopi, dimana Arabika Gayo terpilih sebagairekomendasi terbaik untuk pelaku usaha coffee shop diikuti oleh Arabika Mandheling dan Robusta Kintamani sebagai saran biji kopi unggulan berikutnya. Untuk penelitian mendatang, diharapkan sistem pendukungnya Keputusan ini dapat dikembangkan menjadi alat praktis dan mudah digunakan oleh pelaku usaha coffee shop.
Pemanfaatan Aplikasi Gamma dalam Pembuatan Presentasi Materi Pengajaran Guru di SMA Negeri 5 Medan Ari Usman; Yuyun Dwi Lestari; Arief Budiman; Yessi Fitri Annisah Lubis; Dedi Irwan; David David; Rachmat Aulia; Ahmad Rozy
Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2025): Desember 2025
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v4i2.301

Abstract

The rapid development of information technology, particularly artificial intelligence (AI), requires teachers to integrate digital tools into the learning process. However, many teachers still face difficulties in creating engaging, systematic, and communicative presentation media due to limited time, insufficient design skills, and high administrative workloads. This problem was also found among teachers at SMA Negeri 5 Medan, who mostly relied on conventional presentation media. As a solution, this community service activity was conducted through training on the utilization of the Gamma Application, an AI-based platform that enables automatic presentation creation using text-based commands. A total of 30 teachers participated in this activity. The methods applied included workshops, hands-on practice, and interactive discussion sessions. Teachers were guided from the introduction of Gamma’s features to content development and the production of ready-to-use presentation slides. This activity aimed to improve teachers’ digital competence and support the development of more innovative, attractive, and effective learning media. Its main contribution lies in enhancing teachers’ skills in using AI-based technology and strengthening digital-based learning practices in schools. The results showed that all participants were able to operate the Gamma Application and produce more visually appealing, well-structured, and communicative learning presentations. Furthermore, teachers’ understanding of the role of technology in supporting the learning process significantly improved. Therefore, this activity had a positive impact on the quality of instructional media and teachers’ insights into the use of digital technology.