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All Journal JUITA : Jurnal Informatika Jurnal Sains dan Informatika Antivirus : Jurnal Ilmiah Teknik Informatika Jambura Journal of Electrical and Electronics Engineering Jurnal Tecnoscienza Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Jurnal Inkofar Proceeding International Conference on Digital Education and Social Science
Rini Indriati
Universitas Nusantara PGRI Kediri
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Pelatihan Penggunaan QR Code terhadap Pengembang Kurikulum dalam Menggunakan untuk Presensi Siswa pada SMK PGRI 2 Kediri Sucipto Sucipto; Rini Indriati; Dwi Harini; Teguh Andriyanto; Arie Nugroho; Akmal Hisyam Pradhana; Cinta Azzaria; Bifadhlillah Marsheila Islami; Ersa Dwi Nur Aini; Ari Kurniawan
Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2023): Mei 2023
Publisher : Cipta Media Harmoni

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53624/kontribusi.v3i2.187

Abstract

Presensi merupakan hal penting dalam proses belajar pada pendidikan menengah kejuruan. Daftar presensi digunakan untuk mengetahui frekuensi kehadiran siswa di sekolah sekaligus untuk mengontrol kegiatan belajar siswa. Pada kasus pengabdian ini dilakukan pada SMK PGRI 2 Kediri dimana optimalisasi presensi siswa belum optimal. Tim pengabdian memberikan inovasi presensi berbasis QR Code guna memudahkan rekap data dan hasil yang lebih real time dapat diterima civitas akademik sekolah dan wali murid. Tim pengabdian melakukan sosialisasi penggunaan QR Code dan transfer teknologi terhadap presensi QR Code. Hasil kepuasan sosialisasi dan transfer teknologi peserta sangat puas terhadap kegiatan yang telah dilaksanakan dengan persentase kepuasan rata-rata 88,93%. Implementasi hasil penelitian berbasis QR Code untuk pelaksanaan pengabdian ini diharapkan dapat membantu optimalisasi proses pencatatan presensi sehingga civitas akademika SMK PGRI 2 Kediri.
Clustering Analysis of Subsidized Fertilizer Recipients in 2025 Using K-Means++ and Fuzzy C-Means Umar Al Faruq; Rini Indriati; Aidina Ristyawan
Proceeding International Conference on Digital Education and Social Science Vol. 3 No. 1 (2025): Proceeding International Conference on Digital Education and Social Science 202
Publisher : Asosiasi Pengelola Publikasi Ilmiah (APPI) PT PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55506/icdess.v3i1.159

Abstract

This study aims to analyze and compare the performance of clustering models in grouping subsidized fertilizer recipient data in 2025 to support the efficiency and accuracy of government distribution policy targets. The recipient data were processed through feature selection, data transformation, data type conversion, and missing value handling. The K-Means++ and Fuzzy C-Means (FCM) clustering methods are applied with the optimal number of clusters (K) set at eight (K=8) based on validity metric analysis. The model evaluation results show that the K-Means++ algorithm produces better cluster quality than FCM. The internal validity metric assessment for K-Means++ on the K=8 cluster shows a Silhouette Score of 0.756, a Davies-Bouldin Index (DBI) of 0.241, and a Calinski-Harabasz index (CHI) of 7901. Meanwhile, FCM reports S=0.737, DBI=0.424, and CHI=4903. This comparison clearly shows that K-Means++ has advantages in terms of clearer cluster separation and stability. The conclusion of this study is that the K-Means++ algorithm is the most effective model and is recommended for use in grouping recipients of subsidized fertilizer assistance in 2025. The results of this grouping (8 clusters) can present an accurate and useful profile for policymakers in designing more effective fertilizer allocation and distribution priority strategies.
Co-Authors Afandi, Zainal Agus Fatony Tohari Agus Muji Santoso Ahmad Rizal Rizal Aidina Ristyawan Akmal Hisyam Pradhana Aldi Pratama Ari Kurniawan Bella Putri Damayanti Bifadhlillah Marsheila Islami Cinta Azzaria Dewi Rahajoe Dwi Harini Erna Daniati Ersa Dwi Nur Aini Hana Refri Gunawan Hesti Istiqlaliyah Hesti Mei Wulandari Ika Ari Sasmita Ika Yunida Anggraini Intan Nur Farida Iqbal Ardiwijaya Kharisma Titania Putri Linda Elyanawati Rahayu Moch. Nurul Hadi Muhammad Najibulloh Muzaki Mukhammad Annafinurika Nugroho, Arie Nurmala As'ari Poppy Rahmatika Primandiri Qonita Nur Rohmania Ratih Kumalasari Niswatin Rina Firliana Rr. Forijati -, Rr. Forijati Ryan Marcell Wibisono Suciati Suciati Sucipto Sucipto Sulistiono Sutikno Sutikno Tamora Nonia Wijaya Teguh Andriyanto Umar Al Faruq Vina Churotul Laili