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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Computech & Bisnis (e-Journal) Nuansa Informatika Telematika Sistemasi: Jurnal Sistem Informasi Jurnal Informatika Jurnal Pilar Nusa Mandiri Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology Technologia: Jurnal Ilmiah Journal of Empowerment Community Tematik : Jurnal Teknologi Informasi Komunikasi Innovation in Research of Informatics (INNOVATICS) Jurnal Pengabdian dan Edukasi Sekolah (Jubaedah) International Journal of Quantitative Research and Modeling AJAD : Jurnal Pengabdian kepada Masyarakat Joutica : Journal of Informatic Unisla Formosa Journal of Applied Sciences (FJAS) Paradigma International Journal of Ethno-Sciences and Education Research Jurnal Pengabdian Masyarakat Tapis Berseri SisInfo : Jurnal Sistem Informasi dan Informatika Nuansa Informatika Jurnal Bhakti Karya dan Inovatif INTERNAL (Information System Journal) In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) International Journal of Computer Technology and Science International Journal of Information Engineering and Science Journal of Computing Innovations and Emerging Technologies Bulletin of Intelligent Machines and Algorithms Jurnal Informatika TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
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Universitas Informatika Dan Bisnis Indonesia, Indonesia
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Journal : nuansa informatika

 1 
Perbandingan Algoritma Klasifikasi Data Mining untuk Penelusuran Minat Calon Mahasiswa Baru Budiman Budiman
NUANSA INFORMATIKA Vol 15, No 2 (2021)
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (536.203 KB) | DOI: 10.25134/nuansa.v15i2.4162

Abstract

During the AMIK HASS pandemic, it was difficult to determine new student candidates. So that to attract public interest, the Marketing Department has implemented several strategies to attract prospective students to become new students. The data mining technique used in predicting is a classification that includes Naïve Bayes, J48 Decision Tree, and K-Nearest Neighbor. This study aims to perform a comparative analysis of data mining classification algorithms using WEKA tools. The method used in this study, using CRISP-DM. The dataset used by the three classifications is 5,934 records with split mode, the percentage of testing is 70% as much as 4154 as training data and 30% as much as 1780 data as test data. Based on the test results on the three classification models, the highest accuracy value is obtained in the J48 Decision Tree classification, which has a value of 90.3%. While the K-Nearest Neighbor classification has a lower accuracy of 87.52% and the Naïve Bayes classification has an accuracy of 87.24%. The comparison of the AUROC J48 Decision Tree test results has the highest value of 0.9654 while the Naïve Bayes results are 0.9461 and the K-Nearest Neighbor results are 0.9343. The three classifications with ABK scores above 0.90 are included in the excellent classification category
Optimalisasi K-Means Berbasis Particle Swarm Optimization untuk Hasil Produksi Tanaman Sayuran di Indonesia Budiman Budiman
NUANSA INFORMATIKA Vol 17, No 1 (2023)
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/fkom uniku.v17i1.6646

Abstract

Sektor pertanian memegang peranan penting dalam memenuhi kebutuhan pokok masyarakat, dengan demikian akan mendongkrak laju perekonomian, sosial, dan perdagangan. BPS pada September 2020 mencatat jumlah penduduk sebesar 270,20 juta jiwa Bertambahnya jumlah penduduk pada setiap tahun, berbanding lurus dengan permintaan kebutuhan pokok yang semakin meningkat. Sedangkan produksi sektor pertanian tidak setiap tahun meningkat. Penelitian ini bertujuan untuk mengelompokan daerah-daerah yang memiliki tingkat hasil produksi tanaman sayuran yang tinggi atau tingkat hasil produksi tanaman sayuran yang masih rendah. Penerapan K-Means clustering memungkinkan untuk mengoptimasi K-Means clustering dengan PSO sehingga dihasilkan informasi yang lebih bermutu. Hasil pemodelan K-Means clustering berbasis PSO untuk hasil produksi tanaman sayuran di Indonesia cluster 0 (sedang) sebanyak 8,82%, cluster 1 (rendah) sebanyak 88,2%, dan cluster 2 (tinggi) sebanyak 2,94%. Provinsi Jawa Barat berada dalam cluster 2, sehingga Provinsi Jawa Barat mendominasi dalam produksi tanaman sayuran di Indonesia. Hasil pengujian berdasarkan rata-rata silhouette coefficient, K-Means berbasis PSO lebih baik daripada K-Means murni meskipun nilai tersebut tidak berbeda signifikan yaitu dengan rata-rata nilai silhouette coefficient sebesar 0,714114. Rata-rata waktu komputasi waktu komputasi K-Means murni lebih cepat dengan rata-rata 0,748 detik dibandingan K-Means berbasis PSO. Waktu yang dibutuhkan lebih lama karena K-Means berbasis PSO memperbaiki kelompok data dari hasil bentukan K-Means clustering.
Co-Authors Acep Hendra Aditya Gunaldhi Aggi Panigoro Sarifiyono Ahmad Fauzi Ramadhan Aidha Salsa Billa Akbar, Imannudin Alamsyah, R Yadi Rakhman AlFauzi, Ihsan Alif Januantara Prima Almira Nurchawilah Amos Duan Nugroho Andi Sunyoto Angela Nisrina Zhafirama Anto Widianto Anugrah Adiwilaga Arafat Febriandirza Ari Rizki Fauzi Arief Setyanto Artika Arista Cahya Miftahul Falah Catherin Rumambo Mogot Pandin Chairul Habibi Chairul Habibi Chery Cardinawati Sitohang Danestiara, Venia R Dani Rizky Zaelani Darsiti Darsiti Deandy Zahran Vierdansyah Deden Pradeka Devi Aprianti Rimadhani Agustini Dhani Ariatmanto Dhika Wdiyanto Dirham Triyadi Dirham Triyadi Elia Setiana Esa Prakasa Fachrizal Ardiansyah Fahmi Abdullah Fahreja Ramadhan Fauzi Ramadhan, Ahmad Fikri Rizqillah Hasani Fitri Kinkin Gelar, Trisna Gunthur Bayu Wibisono Habibi, Chairul Hamzah, Encep Hani Fitria Rahmani Hani Fitria Rahmani Hasan Nuraripin Henki Bayu Seta Hernawan, Kartika Nursyabanita Ihsan AlFauzi Ilham Ramadhan Ismi Nur Muhamad Jennifer Kaunang, Valencia Claudia Karlina, Nichi Hana Kaunang, Valencia Kaunang, Valencia Claudia Jennifer M. Rizki Ramadhan Muhammad Noerhadi Muhammad Rizki Ramadhan Nasution, Vani Maharani Niqotaini, Zatin Nur Alamsyah NUR ALAMSYAH Nur Alamsyah Nur Alamsyah, Nur Nursyanti, Reni PARAMA YOGA, TITAN R Yadi Rakhman Alamsyah R. Yadi Rakhman A R. Yadi Rakhman A4 R. Yadi Rakhman Alamsyah R. Yadi Rakhman Alamsyah Raka Deny Abdi Putra Rakhman Alamsyah, Rd. Yadi Rd. Yadi Rakhman Alamsyah Rd. Zidni Rizan Al-Zhahir Yanuar Reni Nursyanti Reni Nursyanti Reni Nursyanti Reynaldy Gimnastiar Rezza Novian Noor Rochmat Rijwan Rijwan S.W. Manurip, Atanasius Angga Sardjono Setiana, Elia Silvana Anggraeni, Zulmeida Sophian Ramadhan Suci Fitriani Setiawan Syifa Aqila Humaira Tarsinah Sumarni Tiara Permata Hati Titan Parama Titan Parama Yoga Titan Parama Yoga Titan Parama Yoga Tutik Ultsa Rahmatika Valencia Claudia Jennifer Valencia Claudia Jennifer Kaunang Valencia Claudia Jennifer Kaunang Venia R Danestiara Venia Restreva Danestiara Wala Erpurini Wala Erpurini Wala Erpurini Wulandari Wulandari Yoga Rizki Rahmawan Yoga Rizki Rahmawan Zein Suna Arfigan Said