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All Journal JURNAL TEKNOLOGI DAN OPEN SOURCE Jurnal Pengabdian Kepada Masyarakat Ekonomi, Pendidikan, dan Sosial Humaniora
Jamaris, M
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice

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Workshop Peningkatan Kemampuan Bahasa Inggris Siswa SMK Berbantuan Teknologi Wahyuni, Dewi Sari; Susanti; Yeni, Helda; Jamaris, M; Astarilla, Liya; Wahyuni, Dian; Nurjayadi
Jurnal Pengabdian Kepada Masyarakat Sosial Humaniora Vol 5 No 1 (2025): Juni 2025
Publisher : Fakultas Ekonomi dan Bisnis Universitas Muhammadiyah Riau

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Abstract

Kemampuan berbahasa Inggris merupakan keterampilan penting yang harus dimiliki siswa Sekolah Menengah Kejuruan (SMK) di era globalisasi, namun masih banyak siswa yang mengalami kesulitan dalam menguasainya. Kegiatan pengabdian ini bertujuan untuk meningkatkan penguasaan kosakata, khususnya slang dalam bahasa Inggris, melalui workshop yang mengintegrasikan metode kolaboratif dan teknologi berbasis aplikasi. Kegiatan dilaksanakan selama dua hari di Universitas Sains dan Teknologi Indonesia, melibatkan metode pembelajaran interaktif menggunakan flash cards, paper strips, Google Lens, serta evaluasi berbasis Kahoot dan Mentimeter. Hasil pre-test menunjukkan tingkat pemahaman peserta masih rendah (46%), namun terjadi peningkatan signifikan setelah penerapan metode pembelajaran. Penggunaan teknologi terbukti membantu siswa memahami makna kosakata secara kontekstual dan memperluas kemampuan komunikasi mereka. Kesimpulan menunjukkan bahwa pendekatan kolaboratif berbantuan teknologi efektif dalam meningkatkan keterampilan bahasa Inggris siswa SMK, meskipun masih diperlukan waktu lebih untuk pendalaman materi secara merata.
Implementation of K-Means Clustering Algorithm for Grouping Traffic Violation Levels in Siak Fauzan, Bias Arbi; Jamaris, M; Junadhi, Junadhi
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 5 No. 1 (2022): Jurnal Teknologi dan Open Source, June 2022
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v5i1.2427

Abstract

Traffic offences often occur in different regions, ranging from mild to moderate to severe. The categories of offences include not carrying a Driver's Licence, stnk (Vehicle Number Certificate) or stck (Vehicle Trial Certificate) is invalid, not wearing a seat belt, not turning on headlights during the day and under certain conditions, disobeying traffic signs, disobeying traffic signals. Moderate offences include not having a Driver's Licence, not concentrating while driving and breaking the door of the drawbar. Serious violations include deviating from other vehicles on the road, damaging and interfering with road functions, not insuring one's own responsibility and not insuring staff and passengers. In this study, the K-Means algorithm was used with the aim of obtaining information on data groups of traffic violations based on the time of the incident so that the cause of the traffic violations that occurred in Tasikmalaya City is known. Based on the validation with Davies Bouldin Index metric, 4 clusters were identified which can group the data well. The PerformanceVector results from the assessment of the clusters resulted in 4 clusters with a value of 0.134. Cluster 1 with the most data violations amounting to 74 violations occurred at night, Cluster 2 with the most violations amounting to 16 violations occurred during the day, Cluster 3 with the most violations amounting to 6 violations occurred in the afternoon and Cluster 4 with the most violations amounting to 113 violations occurred in the morning.
Co-Authors Astarilla, Liya Dian Wahyuni Fauzan, Bias Arbi Junadhi, Junadhi Nurjayadi Nurjayadi SUSANTI Wahyuni, Dewi Sari Yeni, Helda