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All Journal Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Teknologi Informatika dan Komputer
Yana Mulyana
Universitas Ahmad Dahlan
Religion Agriculture, Biological Sciences & Forestry Arts Computer Science & IT Education Electrical & Electronics Engineering Social Sciences

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Training on Portfolio Creation and Learning Media Using Google Sites for Teachers and Students at SMK Muhamadiyah Banjar Sunardi Sunarni; Muhammad Kunta Biddinika; Furizal Furizal; Aldi Bastiatul Fawait; Yana Mulyana
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2022): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (663.209 KB) | DOI: 10.35568/abdimas.v5i2.2732

Abstract

Website is a need to be very important to create an online presence for individuals, businesses, companies, and education. By using website, everyone can be better to known and widely known on the internet. However, some users still think that having a website should prepare many things, ranging from cost to good coding skills. The presence of the Google company in the world of technology provides convenience through its products. Google Sites is one of the platforms that provides services to make it easier to create the websites that are used as objects of training activities with workshop activity partners by Master Program of Informatics Universitas Ahmad Dahlan and SMK Muhammadiyah Banjar. The purpose of this community service activity is to carry out training on the use of Google Sites in creating portfolios and learning media. The audience of service is teachers and students with a total of 27 participants from SMK Muhammadiyah Banjar West Java Province. The activity was carried out on August 24, 2022. The stages of the activity were preparation, implementation, and evaluation. Preparation is carried out by conducting a pre-test survey of trainees. The implementation is carried out with training and hands on implementation of website creation for each participant. Evaluation of activities is carried out for each stage by collecting post-test from each trainee. The result of the activity is to increase the knowledge of training participants, both students and teaching staff in overcoming problems in the world of technology so as to make it easier to adapt to the industrial world. The training carried out received a very good response with the score of 79.13% stating that they strongly agreed with the advantages of this training.concept of healthy elderly people related to the pandemic.
Penerapan Algoritma K-Means pada Pengelompokan Data Pendaftar Bantuan Biaya Pendidikan Abdul Fadlil; Imam Riadi; Yana Mulyana
Jurnal Teknologi Informatika dan Komputer Vol 8, No 2 (2022): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v8i2.1261

Abstract

Universitas Muhammadiyah Tasikmalaya merupakan salah satu perguruan tinggi yang mendapatkan bantuan biaya pendidikan untuk mahasiswa penerima program Kartu Indonesia Pintar Kuliah (KIP-Kuliah) disetiap tahunnya. Program ini diperuntukan bagi lulusan SMA/SMK/sederajat dari keluarga miskin/rentan miskin/afirmasi yang memiliki keinginan untuk melanjutkan belajar ke jenjang yang lebih tinggi. Hasil dari evaluasi pelaksanaan dalam penetapan data penerimaannya terdapat masalah karena data pendaftar masih banyak yang berasal dari keluarga mampu, disamping itu jumlah kuota yang diberikan oleh pemerintah sebanyak 30 kuota, jauh lebih sedikit daripada jumlah pendaftar yang berjumlah 191, sehingga harus ada metode yang dapat mengoptimalkan pengelompokan data pendaftar terlebih dahulu agar penetapan penerima bantuan biaya pendidikan KIP-Kuliah tepat sasaran. dalam penelitian ini penulis menggunakan metode Kmeans untuk pengelompokan data pendaftar dengan jumlah klaster sebanyak 3 (K=3). Hasil dari penelitian ini yaitu klaster C0 sebanyak 109 data (57,1%), klaster C1 sebanyak 52 data (27,2%), dan klaster C2 sebanyak 30 data (15,7%). Hasil dari sebaran data pada masing-masing kelompok, penulis merekomendasikan klaster C0 sebagai data kelompok yang dipertimbangkan, klaster C1 sebagai kelompok yang tidak layak dan klaster C2 sebagai kelompok yang layak mendapatkan bantuan biaya pendidikan / KIP-Kuliah.
Co-Authors Abdul Fadlil Aldi Bastiatul Fawait Fawait Furizal Furizal Imam Riadi Muhammad Kunta Biddinika Sunardi, Sunardi