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Developing mathematical exercise software for visually impaired students Arlinwibowo, Janu; Mustaqim, Yunus; Prihandono, Agung; Hana, Fida Maisa; Ridwan, Achmad; Himayati, Ade Ima Afifa
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

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.

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

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

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

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

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.

Pengembangan Model Klasifikasi Produk Furniture Sebagai Visual Search Menggunakan Algoritma Convolutional Neural Network Ihsanul Ahadin, Akbar; Hana, Fida Maisa; Prihandono, Agung; Prayogo Pujiono, Imam
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 8 No. 1 (2024): Volume VIII - Nomor 1 - September 2024
Publisher : Teknik Informatika, Sistem Informasi dan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/siskom-kb.v8i1.707

Dalam era digital yang semakin maju, kebutuhan akan sistem pencarian visual yang efektif untuk produk furniture meningkat pesat. Penelitian ini mengeksplorasi pengembangan model deep learning untuk pencarian dan klasifikasi produk furniture berbasis gambar menggunakan framework Keras dan merancang model Convolutional Neural Network (CNN) yang mampu mengenali dan mengklasifikasikan gambar furniture dari berbagai sudut pandang. Dataset gambar furniture digunakan untuk melatih model, dengan hasil yang menunjukkan akurasi tinggi dalam klasifikasi multi-kelas. Model ini dioptimalkan untuk meningkatkan kinerja dan akurasi dalam pengenalan visual untuk memberikan solusi inovatif yang dapat diterapkan pada sistem pencarian berbasis gambar di industri retail dan e-commerce. . Image search engine memanfaatkan VGG-16 yang merupakan convolutional neural network yang sudah melewati proses training.Berdasarkan hasil penelitian yang dilakukan, dapat disimpulkan bahwa penelitian ini berhasil mengimplementasikan metode Convolutional Neural Network menggunakan library keras dengan hasil persentase yang cukup baik dengan tingkat kecocokan data sebesar 97,78%.

Edukasi Monitoring Kualitas Air Pada Kelompok Tani Tambak Desa Margoyoso Pati Jawa Tengah Rozaq, Imam Abdul; Primadasa, Rangga; Hana, Fida Maisa
BERBAKTI : Jurnal Pengabdian Kepada Masyarakat Vol 1 No 2 (2023): BERBAKTI: Jurnal Pengabdian Kepada Masyarakat | September 2023
Publisher : Fakultas Keguruan dan Ilmu Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30822/berbakti.v1i2.2606

Water quality is one of the most influential factors in the process of cultivating fish in ponds, so it is necessary to monitor water quality regularly to obtain viable and abundant fish commodities. The obstacle in fish farming is the problem of unproductive land due to poor water quality. The low understanding of pond farmers regarding water quality is also one of the factors in decreasing income from fish farming in ponds. Thus it is necessary to carry out education related to monitoring pond water quality to farmers. This community service activity was carried out at the pond farmer group in Margoyoso Pati Village, Central Java on Saturday, August 12, 2023. The community service partner for this activity is the “Bersatu Makmur” farmer group. The implementation of this service activity is divided into two sessions. The first session was a material delivery session on water quality monitoring education while the second session was the practice of monitoring water quality in the farmers' pond locations. The result of this community service activity is the increased understanding of pond farmers in Margoyoso Village, Pati Regency, Central Java regarding monitoring water quality according to the parameters of the Indonesian National Standard (SNI).

Perbandingan Efisiensi Memori dan Waktu Komputasi Pada 7 Algoritma Sorting Menggunakan Bahasa Pemrograman Java Pujiono, Imam Prayogo; Trianto, Rahmawan Bagus; Hana, Fida Maisa
Jurnal Sistem Informasi dan Sistem Komputer Vol 9 No 2 (2024): Vol 9 No 2 - 2024
Publisher : STIMIK Bina Bangsa Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51717/simkom.v9i2.481

Perkembangan teknologi informasi telah merubah metode penyimpanan data dari fisik menjadi digital, yang menuntut pengorganisasian data yang baik untuk mempermudah pencarian dan verifikasi. Oleh karena itu, pengurutan data menjadi sangat penting dan berbagai algoritma pengurutan telah dikembangkan, seperti Quick Sort dan Heap Sort. Penelitian ini bertujuan membandingkan kinerja waktu komputasi dan penggunaan memori dari tujuh algoritma sorting: Bubble Sort, Insertion Sort, Selection Sort, Shell Sort, Quick Sort, Merge Sort, dan Heap Sort menggunakan bahasa pemrograman Java. Evaluasi dilakukan pada dataset berisi 100, 1.000, dan 10.000 data numerik acak antara 1-99. Hasil penelitian menunjukkan Shell Sort memberikan waktu komputasi tercepat untuk dataset berisi 100 dan 1.000 data, sementara Heap Sort paling efisien untuk dataset berisi 10.000 data. Dari segi penggunaan memori, ketujuh algoritma menunjukkan konsumsi memori serupa, namun Shell Sort membutuhkan memori lebih rendah pada dataset berisi 1.000 data, dan Merge Sort menggunakan memori lebih banyak pada dataset berisi 10.000 data.

Edukasi Penggunaan Apeve (Alat Peraga Edukatif Volume) Bagi Guru Sebagai Media Dalam Peningkatan Kemampuan Numerasi Siswa Sd Afifa Himayati, Ade Ima; Rohim, Dhina Cahya; Hakim, Cikita Berlian; Harjanti, Agustina Eka; Hana, Fida maisa
Mejuajua: Jurnal Pengabdian pada Masyarakat Vol. 4 No. 2 (2024): Desember 2024
Publisher : Yayasan Penelitian dan Inovasi Sumatera (YPIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/mejuajuajabdimas.v4i2.191

Pemahaman numerasi merupakan suatu hal yang penting bagi siswa didik sekolah dasar. Pembelajaran yang monoton menjadi salah satu faktor kemampuan numerasi siswa menjadi kurang. Dengan memanfaatkan teknologi sensor ultraonik sebagai alat bantu pada alat peraga edukatif volume untuk media pembelajaran siswa. Tujuan dari pelaksanaan kegiatan pengabdian ini adalah meningkatkan pemahaman guru dalam memanfaatkan alat peraga edukatif volume (APEVE) bangun ruang menggunakan teknologi sensor ultasonik untuk digunakan dalam pembelajaran matematika agar pemahaman numerasi siswa meningkat. Kegiatan sosialisasi serta pelatihan dilakukan kepada guru- guru di SD Muhammadiyah Pasuruhan dengan sistem ceramah dan pendampingan penggunaan APEVE. Guru pada SD Muhammadiyah Pasuruhan yang telah diberikan sosialisasi dan pendampingan penggunaan alat APEVE yaitu 10% guru mempunyai pemahaman yang cukup, 60% guru memiliki pemahaman yang baik dan 30% memiliki pemahaman yang sangat baik tentang penggunaan APEVE.

Implementasi Metode Long Short Term Memory (LSTM) pada Chatbot Kesehatan Mental Mahasiswa Afrisia, Silviana Putri; Hana, Fida Maisa; Wahyudin, Widya Cholid
Sainteks Vol. 21 No. 2 (2024): Oktober
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/sainteks.v21i2.23869

Berdasarkan survei I-NAMHS yang dilakukan pada tahun 2022, menunjukkan bahwa masalah kesehatan mental yang umum terjadi di kalangan remaja meliputi gangguan kecemasan, depresi, gangguan tingkah laku, serta gangguan stres pascatrauma (PTSD). Menanggapi isu yang kompleks ini diperlukan kesadaran akan pentingnya kesehatan mental, yaitu dengan mengembangkan dan mengimplementasikan metode Long Short Term Memory (LSTM) pada chatbot kesehatan mental yang ditujukan bagi mahasiswa. Chatbot ini dirancang untuk memberikan dukungan emosional dan solusi praktis bagi mahasiswa yang menghadapi berbagai masalah kesehatan mental. Untuk itu LSTM dipilih karena kemampuannya yang unggul dalam memahami dan memproses urutan data yang panjang, sehingga memungkinkan chatbot untuk mengingat konteks percakapan. Respons yang diterima pada saat melakukan uji coba chatbot kesehatan mental sangat baik dan relevan karena dipengaruhi tingginya akurasi pada pelatihan model. Hasil pelatihan model LSTM menunjukkan akurasi 98% dan loss sebesar 0,0614 dengan 50 epochs. Diharapkan dengan adanya penelitian mengenai implementasi metode LSTM pada chatbot ini dapat membantu penelitian berikutnya untuk mengembangkan lebih lanjut chatbot kesehatan mental dan menjangkau mahasiswa.

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