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All Journal Jurnal Buana Informatika CESS (Journal of Computer Engineering, System and Science) Fountain of Informatics Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Journal Information System Development JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jurnal Inovasi dan Teknologi Pembelajaran (JINOTEP) Kajian dan Riset Dalam Teknologi Pembelajaran Madaniya IGKOJEI: Jurnal Pengabdian Masyarakat JoMMiT : Jurnal Multi Media dan IT JIKI (Jurnal Ilmu Komputer dan Informatika) Kresna: Jurnal Riset dan Pengabdian Masyarakat Telematika MKOM Jurnal Akademik Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Tekno
Tri Ika Jaya Kusumawati
Universitas Budi Luhur
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Journal : CESS (Journal of Computer Engineering, System and Science)

 1 
Penerapan Algoritma K-Means Untuk Clustering Data Kemiskinan Provinsi Banten Menggunakan Rapidminer Yunita Ratna Sari; Arby Sudewa; Diah Ayu Lestari; Tri Ika Jaya
CESS (Journal of Computer Engineering, System and Science) Vol 5, No 2 (2020): JULI 2020
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (45.547 KB) | DOI: 10.24114/cess.v5i2.18519

Abstract

Angka kemiskinan di Provinsi Banten tergolong rendah di tingkat nasional. Hal ini dibuktikan dengan persentase penduduk miskin Banten pada September 2019 sebesar 4,94% berada di bawah rata-rata nasional pada periode yang sama sebesar 9,22%. Penelitian ini memanfaatkan teknik data mining dengan menggunakan metode K-Means Clustering. Data penelitian ini diambil dari situs Badan Pusat Statistik (BPS) dari tahun 2015-2019 yang terdiri dari 8 Kabupaten/Kota dengan 3 variabel. Variabel yang digunakan adalah jumlah penduduk miskin (ribu jiwa), rata-rata lama pendidikan sekolah (tahun), dan pengeluaran per kapita yang disesuaikan (ribu rupiah/tahun). Semua data tersebut kemudian diolah dengan Rapidminer dan dilakukan 3 cluster, yaitu: tingkat cluster sedang (C0), tingkat cluster tinggi (C1), dan tingkat cluster rendah (C2). Hasil dari perhitungan rapidminer menunjukkan Kabupaten Tangerang, Kota Cilegon, dan Kota Serang masuk sebagai anggota cluster 0, Kabupaten Pandeglang, Kabupaten Lebak, dan Kabupaten Serang berada pada cluster 1, Kota Tangerang, dan Kota Tangerang Selatan berada di cluster 2.
Volumetry Reality Augmented Reality Application with Android Based Marker Based Tracking Method Tri Ika Jaya Kusumawati
CESS (Journal of Computer Engineering, System and Science) Vol 7, No 2 (2022): July 2022
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v7i2.35248

Abstract

Volumetry reality is an application that implements AR with an android-based marker based tracking method for presenting spatial learning materials. Learning to build space and mathematics is still an obstacle in its presentation, delivery and understanding, and the Covid-19 pandemic has forced students to study independently. This encourages educational staff to innovate in providing learning media. Volumetry reality is built by applying AR technology with a marker based tracking method, in this case it is presented in the form of a handbook intended for elementary and junior high school levels. It is designed attractively and easy to use and is equipped with a calculator and mini quiz. Volumetry reality is built using unity and the Vuforia SDK (Software Development Kit). This application can be used by scanning and producing 3D objects up to a distance of 50cm and can be used in low light.  
Co-Authors Adhi Putra, Aluisius Dwiki Agus Umar Hamdani Aluisius Dwiki Adhi Putra Andhika Setyawardhana Anwar Rifa’i Arby Sudewa Arif Hidayatulloh Devi Anisah Diah Ayu Lestari Embun Fajar Wati Gunawan Pria Utama Hidayat, Ravindra Safitra Hidayatulloh, Arif Ibrahim Ibrahim Ika Susanti Khalid, Zulvia Nur Apriyani Pebrianti, Dwi Pratama, Maulana Krisna Bayu Ravindra Safitra Safitra, Ravindra Setyawardhana, Andhika Sri Mulyati Tju, Teja Endra Eng Triana Anggraini Triana, Dinda Wahyu Pramusinto Wulandari Wulandari Wulandari Wulandari Yulia Puspita Dewi Yunita Ratna Sari