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Fitri Rizani
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Gedung Aula MA Jangka Fakultas Ilmu Komputer Universitas Al Muslim Bireuen - Aceh. Jl. Al-Muslim, Peusangan, Kabupaten Bireuen, Aceh 24261
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Jurnal Tika
Published by Universitas Almuslim
ISSN : 27238202     EISSN : 25031171     DOI : https://doi.org/10.51179/tika
Core Subject : Science,
Computer Science & IT
Jurnal Tika merupakan jurnal peer review yang diterbitkan tiga kali dalam setahun (April, Agustus, dan Desember) oleh Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh. Jurnal Tika meliput penelitian di bidang Teknologi Informasi, Sistem Informasi, Teknik Komputer, Ilmu Komputer dan lain-lain. Redaksi mengundang dosen penelitian, reviewer, praktisi, mahasiswa, dan pengamat untuk berkontribusi pada jurnal ini. Bahasa yang digunakan dalam bahasa Indonesia dan bahasa Inggris. Jurnal Tika adalah jurnal ilmiah nasional yang terbuka untuk mencari inovasi, kreativitas dan kebaruan. Baik itu surat, catatan penelitian, artikel, artikel pelengkap, atau artikel ulasan. Jurnal Tika bertujuan untuk mencapai teori dan aplikasi mutakhir di bidang ini. Jurnal Tika menyediakan forum bagi para ilmuwan dan akademisi di seluruh Indonesia untuk mempromosikan, berbagi, dan mendiskusikan isu dan perkembangan baru di bidang teknologi informasi dan sistem informasi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 13 Documents
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Search results for , issue "Vol 9 No 2 (2024): Jurnal Teknik Informatika Aceh" : 13 Documents clear
Klasifikasi Penyakit Pada Sawi Pakcoy Dengan Menggunakan Metode Convolutional Neural Network (CNN) Sutikno, Agung; Pohan, Sry Dhina; Aljabar, Andi
Jurnal Tika Vol 9 No 2 (2024): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v9i2.2665

Abstract

The Brassisca Rapa L plant, commonly referred to as pakcoy, is a vegetable renowned for its economically significant leaves. Pakcoy thrives in both highland and lowland regions, characterized by its rapid harvest cycle and straightforward cultivation process. However, the marked increase in pakcoy cultivation has rendered the crop susceptible to diseases caused by fungi, viruses, pests, and other microbes, highlighting the necessity for effective management strategies to mitigate crop failure. This study explores the application of Convolutional Neural Networks (CNN) in the identification of pakcoy diseases through advanced pattern recognition and image analysis techniques. Utilizing a dataset comprising 1000 images of pakcoy leaves—500 depicting diseased specimens and 500 healthy ones—sourced from greenhouse plants, the images are processed using CNN with RGB configurations at a resolution of 512x512 pixels. The data training, conducted with the Adam optimizer, achieved an accuracy rate of 89.12% and a loss value of 0.240. The findings demonstrate that the CNN methodology is highly effective in accurately classifying diseases in pakcoy, thereby providing a robust framework for informed decision-making in disease prevention and management for pakcoy crops
Pembangunan Aplikasi Kesehatan Wajah Dengan Fitur Chat Berbasis Android Mobile Menggunakan Kotlin Maulana Supian, Diva Amwal; Sukendar, Ade
Jurnal Tika Vol 9 No 2 (2024): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v9i2.2790

Abstract

Acne is a face health problem that makes some people who want to have a healthy face to be afraid. One of the causes of acne is due to air pollution. Although harmless, acne causes emotional and social disorders due to the discomfort caused by acne. Nowadays, people choose ready-to-use products that have been produced by a beauty clinic to treat their face. Evaluation of acne is traditionally done by dermatologists in the medical environment. However, the desire of the patient is to be able to consult with doctor using an easy way to do anytime and anywhere. With limit time, doctor also feel in terms of the amount of time to consult with the patient. Therefore, this research was done to build a face health app based on android mobile as an easy way to do a consultation called PIMPAD. With the PIMPAD app, patients an doctors can conduct consultations related to facial health through the chat feature available on the app. The end result of this study is to produce a face health app based on android mobile with chat features using a kotlin built as an easy way to do consultation between patients and doctors that can be used anytime and anywhere.
Manajemen Risiko Dalam Sistem Informasi Wijanarko, Sigit
Jurnal Tika Vol 9 No 2 (2024): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v9i2.2965

Abstract

Business is supported with information systems. Business process is expected to run normal and stable, and deliver outputs or service as expected. However in many systems, there are risks. Risks may be either supportive or disruptive. The occurrence of risk may influence the performance of the systems. Risk management is needed during the utilization of information systems. Risk Identification, Risk Assessment and Mitigation Strategy are example of Risk Management factors. Risk Management may varies in line with type of business being supported.

Page 2 of 2 | Total Record : 13

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