Article Per Year (5 Year)
p-Index From 2021 - 2026
4.375
P-Index
This Author published in this journals
All Journal INFORMAL: Informatics Journal Jurnal Teknik Sipil Martabe : Jurnal Pengabdian Kepada Masyarakat EDUMATIC: Jurnal Pendidikan Informatika JSAI (Journal Scientific and Applied Informatics) JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Pengabdian Masyarakat IPTEKS JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Rekayasa Infrastruktur Hexagon JIWAKERTA: Jurnal Ilmiah Wawasan Kuliah Kerja Nyata International Journal of Regional Innovation Jurnal Indonesia Sosial Teknologi SATUKATA: Jurnal Sains, Teknik, dan Studi Kemasyarakatan National Multidisciplinary Sciences Jurnal Aplikasi Sistem Informasi dan Elektronika Journal of Information Systems Management and Digital Business ABDIMASTEK JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Teknologi : Jurnal Ilmiah Sistem Informasi
Agung Nilogiri
Universitas Muhammadiyah Jember
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Public Health Social Sciences

Published : 42 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 42 Documents
Search

 1   2   3   4   5 
Pengelompokan Hasil Evaluasi Pembelajaran Metode Hafalan Al Qur’an Tawazun Menggunakan Metode K-Means Khalili Rahmatiningsih, Ajeng; Nilogiri, Agung; Eko Wardoyo, Ari
Jurnal Indonesia Sosial Teknologi Vol. 3 No. 08 (2022): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1884.241 KB) | DOI: 10.59141/jist.v3i08.480

Abstract

The method of memorizing the Qur'an Tawazun is a method that maximizes the use of the right brain and left brain, allowing a person to memorize, understand, and believe. Each category has several assessment points as a benchmark for the ability of students, which are used to overcome the level of failure of students in each category of learning the method of memorizing the Qur'an tawazun. The results of the evaluation of the learning of the tahfidz Islamic boarding school Daarul Huffadz Indonesia in 2020 were felt to be less than optimal, because the learning process was carried out simultaneously. This can be seen from the difference in scores that are quite different in each category of assessment. Based on the previous problem, it is necessary to group the results of the evaluation of learning the Qur'an memorization method. The goal is that every student gets maximum treatment and provides convenience for the institution, as well as teaching staff to carry out learning. The purpose of this study is to determine the optimum number of clusters as well as members of each cluster by measuring cluster performance using the Davies Bouldin Index (DBI) method and implementing the K-Means algorithm. The K-Means algorithm is a non-hierarchical data clustering method that is able to group large amounts of data, relatively quickly, and efficiently. This study uses 401 observational data and 12 attributes. From the calculation results, the optimal number of clusters lies in 2 clusters, with a Davies-Bouldin Index (DBI) value of 1.439. There are 26 members of cluster 1, and 375 members of cluster 2.
IMPLEMENTASI CONVOLUTION NEURAL NETWORK (CNN) UNTUK KLASIFIKASI PADA CITRA IKAN CUPANG HIAS Setyawan, Wahyu Dwi; Nilogiri, Agung; A’yun, Qurrota
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 7 No. 1 (2023): Volume 7, Nomor 1, Januari 2023
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v7i1.45

Abstract

Ikan cupang adalah salah satu jenis ikan air tawar yang habitatnya tersebar disebagain negara Asia Tenggara. Ikan cupang memiliki nilai ekonomis tinggi, di masa pandemi bisnis ikan cupang hias biasa dilakukan secara online shop melalui Facebook, Instagram. Bagi orang yang masih awam dengan ikan cupang tentunya akan sulit untuk mengenali ciri bentuk fisik dari jenis ikan cupang, karena pada dasarnya jenis-jenis ikan cupang hias memiliki kemiripan pada struktur tubuh, srip dan ekornya. Oleh karena itu, dibutuhkan sebuah sistem untuk membantu orang awam dalam mengenali jenis ikan cupang hias. Pada penelitian ini dibangun sebuah sistem untuk mengklasifikasikan jenis ikan cupang hias, yaitu: Plakat, Crowntail, Halfmoon, Double tail dan Halfmoon plakat(HMPK) jantan dan betina dengan memanfaatkan pemodelan Convolutional Neural Network (CNN). CNN merupakan algoritma yang dikembangkan dari MultiLayer Perceptron yang dapat mengekstraksi citra dengan detail. Model CNN dirancang menggunakan arsitektur VGG16 yang dimodifikasi pada bagian Fully-connected layers. Berdasarkan dari hasil pengujian model CNN menggunakan data test sebanyak 180 citra mendapatkan akurasi sebesar 78,33%.
Co-Authors A'yun, Qurrota Adi Sulistyono Aditya Surya Manggala Adriani, Sri Wahyuni Ajeng Khalili Rahmatiningsih Aji Brahma Nugroho aji brahma nugroho, aji brahma Al Faruq, Habibatul Azizah Almie, Amada Uzlyva Ananda Alia Febriani Andre Eko Cahyo Andyna Maharani, Cinta Naswa Ari Eko Wardoyo Ari Eko Wardoyo Arifianto, Deni Aryanto, Risqi Pradana A’yun, Qurrota Cetta Ugama Putra Chatarina Umbul Wahyuni Daryanto Daryanto Deco, Vigit Tri Dedi Setiawan Dewi Lusiana Dewi Lusiana Dewi Lusiana Pater Dewi, Dewi Lusiana Pater Eko Wardoyo, Ari Ginanjar Sasmito Adi Ilahiyah, Sarirotul Isnanda Denny Soggy Rachmad Khalili Rahmatiningsih, Ajeng Kholili, Badril Munir Kiki Diah Ayu Puspita Lusiana, Dewi Moh. Dasuki Mokh Hairul Bahri Muhammad Derryl Qinanda Nadila Nadila Nanang Saiful Rizal Nely Ana Mufarida Oktavianto, Hardian Pangestu, Dwi Saka Prianggi, Devi Putri Putra Siregar, Muhammad Abrar Putri, Della Hartika Qurrota A’yun Ramadhani, Laila Amanda Risqi Pradana Aryanto Rivangga, Satya Sari, Wina Ayunda Sarirotul Ilahiyah Setyawan, Wahyu Dwi Sofia Ariyani Susanto, Luban Abdi Taufiq Timur Umilasari, Reni Wahyu Dwi Setyawan Wiwik Suharso Yanuarti, Rosita YAP, Ferdianto Zakiyyah, Amalina Maryam