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All Journal Gorga : Jurnal Seni Rupa Jurnal Teknologi dan Manajemen Informatika Prosiding SNATIKA Vol 01 (2011) PROCEEDING IC-ITECHS 2014 SMATIKA J I M P - Jurnal Informatika Merdeka Pasuruan Jurnal Desain Citradirga : Jurnal Desain Komunikasi Visual dan Intermedia J-Intech (Journal of Information and Technology) Mavis : Jurnal Desain Komunikasi Visual Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jikom: Jurnal Informatika dan Komputer KOPEMAS Journal of Information Technology Mavis: Jurnal Desain Komunikasi Visual Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat
Evy Poerbaningtyas
Sekolah Tinggi Informatika & Komputer Indonesia, Malang
Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Journal : J-Intech (Journal of Information and Technology)

 1 
Parental Control System Aktivitas Santri Berbasis Android (Studi Kasus : Pondok Pesantren Mahasiswa Baitul Jannah) Alfauzi, Roiyan Zadana; Poerbaningtyas, Evy; Oktavia, Chaulina Alfianti
J-INTECH (Journal of Information and Technology) Vol 7 No 02 (2019): J-INTECH : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (595.372 KB) | DOI: 10.32664/j-intech.v7i02.434

Abstract

The establishment of Baitul Jannah Islamic Boarding School in Malang is a form of implementation in order to produce young people, especially religious and noble students. In an effort to account for Baitul Jannah's Islamic Boarding School for parents of students, the need for a liaison between the board of the cottage and parents in monitoring the activities of students. The importance of a communication forum to reduce information gaps, encourages writers to design the application of Parental Control System on the activities of android-based Baitul Jannah Islamic Boarding School students. In this research, the method used is descriptive qualitative data collection techniques in the form of direct observation in Baitul Jannah Islamic Boarding School, study of literature by studying the existing literature, and interviews directly to parents and the board of teachers. In addition, the design of this application applies the Firebase cloud messaging technology that will send notifications to users. The results of the design and implementation of the application of the parental control system activities of students in the Baitul Jannah Student Islamic Boarding School, found that the application is able to help parents monitor their children's learning activities and development. Based on a questionnaire filled out by 40 respondents about satisfaction, comfort, and convenience in operating the application, it showed 98.5% of opinion if the application had been effective in communication between students, the board of teachers, and parents.
Penerapan Metode Convolutional Neural Network (CNN) Dalam Mengklasifikasikan Penyakit Daun Tanaman Padi Christiawan, Gracia Yoel; Putra, Roy Andani; Sulaiman, Azis; Poerbaningtyas, Evy; Putri Listio, Syntia Widyayuningtias
J-INTECH (Journal of Information and Technology) Vol 11 No 2 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i2.1006

Abstract

Rice is a staple crop in Indonesia. Most farmers choose rice as the main crop for agricultural land. Starting from the land to the tropical climate that occurs in Indonesia, it is very suitable for rice plants. Among these supports arise obstacles faced by farmers. Rice leaf diseases include Brownspot, Blas, Bacterial Leaf Blight (HDB). Classification of these diseases can be done using the CNN (Convolutional Neural Network) method. So far, the detection process for rice plant leaf diseases has been done manually. The CNN method can detect images from pixel to pixel so it is considered effective for detecting disease from images alone. This research uses a dataset of 1630 data which is divided into 3 disease classes. This research compares the number of epochs and uses the CNN InceptionV3 architecture. The results of this research show very good results with a lift of 98% with data that is not overfitting.
Penerapan Metode Cosine Similarity Pada Sistem Informasi Retrival Pencarian Terjemahan Ayat-Ayat Suci Al-Qur’An Poerbaningtyas, Evy; Maulidi, Rakhmad
J-INTECH (Journal of Information and Technology) Vol 11 No 2 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i2.1020

Abstract

Ayat is a sentence in the Qur'an, the verse is known as tauqifi (with the nash of the Messenger of Allah saw.), not qiasi (analogy). Since it counts (Alif Lam Mim) and (Alif Lam Mim Shod Nun) each as one verse but does not count (Alif Lam Mim) and (Kha Mim), (Alif Lam Mim Ra) and (Ya Syin) each count as one verse, but not so with (Tho Syin Mim), Ayat (Madahaa Mannaan) is one word, according to the agreement, invalid prayer by reading only half of the verse. In a verse some words make up a sentence, so to search for a desired sentence you have to look up 1 by 1 in the verse. Because the guidance of the life of Muslims is the holy book of the Qur'an, in which there are several letters and in the letter there are verses. From these conditions, in this study, a verse search engine was created to facilitate the search process using the cosine similarity method. The purpose of this study is to be able to help the search process quickly and easily, readers in the search for verses in the holy book of the Qur'an .
Co-Authors Acmad Zaki Ramadhan Adita Kusumasari Kusumasari Adnan Zulkarnain Ahmad Zakiy Ramadhan Ahmad Zakiy Ramadhan Alfauzi, Roiyan Zadana Ana Utami Nur Rahman Andoyo, Laurentinus Noer Ardiyansyah, Riyan Arif Tirtana Bagus Kristomoyo Kristanto Candra Hadi Pranata Christiawan, Gracia Yoel Diah Arifah Diah Arifah P Dwi, Adriansyah Dwify O Risqoni Egantara Satria Utama Hendra Suprayogi Johan Erika W.P Kurniawan, Rahmat Kusumasari, Adita Ayu Laila Isyriyah Mohammad Andy Sampurno Muhammad Fahmi Mukhamat Andi Setiawan Nira Radita Nurdiansyah Rezkinanda Putra, Roy Andani Rahmat Kurniawan Rakhmad Maulidi Razaq, Abdu Gofar Rina Nurfitri Ritsa Ephipania Toding Roiyan Zadana Alfauzi Sandra Murdianto Siti Aminah Sugeng Santoso Sulaiman, Azis Sulthon Maulana Rozaq Syntia Widyayuningtias Putri Listio Zusana E. Pudyastuti