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All Journal Syntax Jurnal Informatika REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat
Yohanes Adi Nugroho
Universitas Pendidikan Indonesia
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Efektifitas Algoritma Data Mining dalam Menentukan Pendonor Darah Potensial Aldi Yasin; Asry Yuniarti; Yohanes Adi Nugroho
SYNTAX Jurnal Informatika Vol 11 No 01 (2022): Mei 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/syji.v11i01.6595

Abstract

Darah merupakan salah satu cairan fungsional yang memiliki banyak manfaat sehingga sangat dibutuhkan oleh tubuh manusia agar dapat bertahan hidup. Persediaan darah di suatu negara setiap tahunnya harus terpenuhi sesuai dengan ketentuan dari WHO. Namun kebutuhan darah di Indonesia hingga saat ini masih belum terpenuhi. Hal ini mengakibatkan banyak orang sulit untuk mendapatkan darah dan harus mencari calon pendonor darah. Penelitian ini memuat solusi untuk mendapatkan calon pendonor darah potensial dengan memanfaatkan kemajuan teknologi yaitu teknik data mining. Penelitian ini bertujuan untuk mencari keefektifan dari 2 algoritma klasifikasi data mining yang diimplementasikan ke dalam Bahasa Pemrograman Python dengan tools Jupyter Notebook dan software RapidMiner. Hasil penelitian menghasilkan bahwa algoritma KNN mempunyai accuracy 78,00% dengan menggunakan software RapidMiner, dan 68,66% dengan menggunakan tools Jupyter Notebook sedangkan algoritma Naive Bayes menghasilkan nilai accuracy 71,33%, dan 73,33%. Dilihat dari nilai Accuracy menunjukan bahwa algoritma KNN yang diimplementasikan menggunakan software RapidMiner memiliki nilai accuracy paling tinggi sehingga dalam penelitian ini algoritma KNN merupakan algoritma yang paling efektif dalam mencari calon pendonor darah
Computational Thinking and Coding for Kids Training for Elementary School Teachers Dewi Indriati Hadi Putri; Taufik Ridwan; Nuur Wachid Abdul Majid; Hafiziani Eka Putri; Diky Zakaria; Yohanes Adi Nugroho
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 3, No 3 (2022): REKA ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v3i3.142-151

Abstract

Computational thinking and coding are thinking skills that are recently expected to be acquired by elementary school children as the era of the industrial revolution 4.0 requires students to be familiar with the use of technology. In some developed countries, the two skills have been included in elementary school curriculum. However, the situation is different in the context of Indonesia since teachers or instructors who are able to provide these skills are inadequate. Therefore, this training was intended to socialize and educate the application of coding and computational thinking, especially to elementary school teachers so that they have the ability to equip their students with those skills. The participants of this training were teachers of Labschool UPI Purwakarta. The training was conducted in one day containing the concepts and practices of ICT and computational thinking as well as coding for kids. The result of satisfaction questionnaire distributed to the participants after the training shows a good level of satisfaction in terms of training materials, delivery of materials, and the usefulness of activities as much as 71,4%, 57,1% and 92,9% consecutively. The teachers hope that follow-up trainings are carried out to increase their knowledge and ability in developing technology-based learning.
Co-Authors Aldi Yasin Asry Yuniarti Diky Zakaria Hadi Putri, Dewi Indriati Hafiziani Eka Putri, Hafiziani Eka Nuur Wachid Abdul Majid Taufik Ridwan