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All Journal Psychology, Evaluation, and Technology in Educational Research Journal of Innovation and Future Technology (IFTECH) Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Sistem Komputer & Kecerdasan Buatan
Fida Maisa Hana
Universitas Muhammadiyah Kudus
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science Social Sciences

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Developing mathematical exercise software for visually impaired students Janu Arlinwibowo; Yunus Mustaqim; Agung Prihandono; Fida Maisa Hana; Achmad Ridwan; Ade Ima Afifa Himayati
Psychology, Evaluation, and Technology in Educational Research Vol. 3 No. 2 (2021)
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33292/petier.v3i2.81

Abstract

This study aims to develop an Android-based math exercises application for the visually impaired. This research is development research carried out with research steps, namely: (1) preliminary research, (2) prototyping stage, and (3) assessment phase. The research was conducted between April 2020 and December 2020. The material chosen in the application developed was a plan taught in 8 grade. The research process involved six experts in assessing the product, namely three mathematics education experts to assess the validity of the aspects of mathematical content, two blind education experts to assess visually impaired content suitability and accessibility, and 1 IT expert to assess product performance. The product was tested on nine visually impaired. The quality of teaching materials is based on three basic aspects: feasibility, practicality, and effectiveness. The conclusions of this study are: (1) the product has good quality because it has been declared feasible by experts, practical, which can be seen from the enthusiastic response and student testimonials, and is effective because it can be used to learn and measure abilities, (2) the application is divided into three sections, preamble (contains the opening tune and instructions for use), practice questions, and results. Application development is based on two elements, namely accessibility and compatibility of the content with the cognition of the visually impaired, (3) the question page consists of questions (will be read when entering the page and can be repeated when the user taps the question section), under the question, there is a question number. There is a question; answer choices are arranged twice in two (the answer choices will be read out when pressed by the user). There is an answer lock button at the very bottom, and (4) the visually impaired want an application that has a simple operating system, provides challenges to the user and has two functions, namely measuring their abilities and facilitating their learning.
Klasifikasi Penderita Penyakit Diabetes Menggunakan Algoritma Decision Tree C4.5 Fida Maisa Hana
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 4 No. 1 (2020): Volume IV - Nomor 1 - September 2020
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/siskom-kb.v4i1.173

Abstract

Diabetes Melitus (DM) merupakan penyakit kronis yang banyak diderita oleh penduduk Indonesia, penyakit ini disebabkan karena kadar glukosa dalam darah di atas nilai normal. Penyakit ini termasuk penyakit yang rumit dan mematikan, oleh karena itu dibutuhkan perawatan medis yang kontinu agar resiko terjadinya komplikasi bisa dihindari. Dari tahun ke tahun jumlah pengidap penyakit diabetes semakin bertambah. Merujuk dari sumber data Federasi Diabetes Internasional, pengidap penyakit diabetes sebanyak 10 juta jiwa pada tahun 2015 di Indonesia, ditahun 2040 diprediksi jumlah warga Indonesia yang terjangkit penyakit diabates mengalami meningkatan sebesar 16.2 juta jiwa penduduk Indonesia. Oleh sebab itu deteksi penyakit diabetes sangat diperlukan guna merendahkan komplikasi penyakit diabetes di waktu yang akan datang. Algortima C4.5 adalah salah satu metode yang bisa dimanfaatkan untuk meramal penyakit diabetes. C4.5 Decision Tree adalah algoritma yang bisa menghasilkan keputusan dengan cara membentuk pohon keputusan. Dari hasil Pengujian menghasilkan akurasi yang cukup besar yaitu 97,12 % Precision sebesar 93,02% %, dan Recall sebesar 100,00%.
RANCANG BANGUN APLIKASI PENGINGAT MAKAN DAN MINUM BERBASIS ANDROID Taftazani Ghazi Pratama; Hermawan Abdillah Hamka; Fida Maisa Hana
Journal of Innovation And Future Technology (IFTECH) Vol 6 No 1 (2024): Vol 6 No 1 (February 2024): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v6i1.3162

Abstract

Eating and drinking are basic daily human needs which are used in various activities from waking up to going back to sleep. A person's activities can be carried out well if he regulates regular eating and drinking patterns. On the other hand, someone who does not have a regular eating and drinking pattern will cause the emergence of various diseases, one of which is gastritis. Therefore, we need a solution to improve eating and drinking patterns so that the body remains healthy and avoids various diseases. The methodology used to design this application is the ADDIE method. This research aims to design an Android-based eating and drinking reminder application. The application that has been built can make it easier for someone to manage their daily eating and drinking patterns and remind them of their daily eating and drinking consumption schedule by sending notifications to the user's smartphone.
Komparasi Algoritma K-Nearest Neighbor dan Naive Bayes pada Klasifikasi Tingkat Kualitas Udara Kota Tangerang Selatan Avira Budianita; Nurul Iman; Fida Maisa Hana; Cikita Berlian Hakim
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol 6, No 1 (2024): Maret
Publisher : Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/jinrpl.v6i1.10956

Abstract

The growth of technology and the impact of industrial activities on the earth have an influence on environmental changes, including changes that are felt are a decrease in air quality or air pollution which has an impact on the health of the human body. Based on this, this research aims to produce a model for solving air quality classification problems based on parameter indicators. A comparative evaluation was also carried out on the classification of the K-Nearest Neighbor and Naive Bayes algorithm methods on the air quality dataset in South Tangerang in 2022. At the same ratio in the classification process, the K-Nearest Neighbor algorithm got an accuracy value of 94.44% and the Naive Bayes algorithm got an accuracy value of 94.44%. Accuracy value 86.11%. From the results of testing the data, it can be concluded that the K-Nearest Neighbor algorithm has high accuracy compared to the Naive Bayes algorithm in air level classification.
Co-Authors Achmad Ridwan Agung Prihandono Avira Budianita Cikita Berlian Hakim Hermawan Abdillah Hamka Himayati, Ade Ima Afifa Janu Arlinwibowo Nurul Iman Taftazani Ghazi Pratama Yunus Mustaqim