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All Journal Psychology, Evaluation, and Technology in Educational Research Jurnal Sistem Komputer & Kecerdasan Buatan Urecol Journal. Part E: Engineering Jurnal Abdimas Indonesia
Achmad Ridwan
Universitas Muhammadiyah Kudus
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Other

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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.
Penerapan Algoritma Naïve Bayes Untuk Klasifikasi Penyakit Diabetes Mellitus achmad Ridwan
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.v4i1.169

Abstract

Diabetes Mellitus atau kencing manis adalah penyakit metabolisme disebabkan oleh kadar gula tinggi didalam darah. Gula darah disimpan atau digunakan untuk energi yang berasal dari darah yang dipindahkan ke sel manusia oleh hormon insulin . ketika terserang Diabetes, pada tubuh manusia insulin tidak biasa dihasilkan secara cukup bahkan tubuh tidak dapat menggunakan insulin tersebut secara benar sesuai kebutuhan. Diabetes Mellitus terdaftar sebagai penyakit penyumbang kematian terbesar terbesar didunia. Diabetes Mellitus dapat diklasifikasikan berdasarkan kemungkinan terkenanya dari atribut gejala diawal fasenya. penyakit ini bisa dideteksi karena banyak gejala yang terdeteksi. Data yang digunakan pada analisis ini merupakan data dari dataset UCI Machine Learning yaitu Early Stage Diabetes Risk tahun 2020 dan terdiri 17 attribut. Analisis yang dilakukan meliputi data preprocessing, model, dan evaluasi. Pengujian Metode klasifikasi pada riset adalah Naïve Bayes Classification. Hasil klasifikasi menunjukkan akurasi sebesar 90.20% dan nilai AUCnya yaitu 0,95
Application of the C4.5 Algorithm for Early Cervical Cancer Classification Taftazani Ghazi Pratama; Achmad Ridwan; Agung Prihandono
Urecol Journal. Part E: Engineering Vol. 1 No. 1 (2021): January - June
Publisher : Konsorsium LPPM Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (184.127 KB) | DOI: 10.53017/uje.4

Abstract

Cervical cancer is one of the cancers that is of global concern because of the high mortality rate in women. Preventive measures such as early detection are needed so that patients can get treatment more quickly. Fortunately, this disease can be prevented with the role of technology to help doctors in early detection of various types of cancer. The technology developed by the researchers is using machine learning algorithms. Therefore, in this study using the C4.5 algorithm to classify cervical cancer. This algorithm aims to classify 2 classes: people who have cervical cancer, people who are healthy. The results of the experiment obtained from the C4.5 algorithm are getting an accuracy of 98.61%, precision of 98.08%, and recall of 95.24% ROC curve shows 0.982%.
PENINGKATAN KESEHATAN KELUARGA MELALUI PEMBERDAYAAN KADER MASYARAKAT DENGAN CEGAH STUNTING DAN PEMANFAATAN SAMPAH MENJADI MEDIA EDUKASI ANAK DI DESA JEKULO KECAMATAN JEKULO KABUPATEN KUDUS Indah Puspitasari; Indanah Indanah; Sukesih Sukesih; Dhina Cahya Rohim; Muhammad Adib Jauhari; Achmad Ridwan
Jurnal ABDIMAS Indonesia Vol 4, No 2 (2022): JURNAL ABDIMAS INDONESIA
Publisher : STIKES Muhammadiyah Kudus

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Abstract

Indikator keluarga sehat yaitu balita mendapatkan pemantauan pertumbuhan. Hal ini penting untuk memastikan pertumbuhan dan perkembangan anak sudah sesuai dengan usianya, serta mendeteksi secara dini bilamana terdapat gangguan pada pertumbuhannya. Gangguan pertumbuhan pada anak yakni stunting. Prevalensi balita yang mengalami stunting di Indonesia sebanyak 24,4% pada 2021. Target pemerintah untuk prevalensi stunting di Indonesia turun menjadi dibawah 14% pada tahun 2024. Untuk itu, target penurunan prevalensi stunting setiap tahun harus berkisar 2,7%. Kegiatan pengabdian kepada masyarakat ini berfokus pada intervensi gizi sensistif yakni memberikan pendidikan pengasuhan pada orang tua melalui pemberdayaan kader mengenai edukasi stunting dan pencegahannya serta pemanfaatan sampah agar bisa digunakan menjadi media edukasi anak di rumah. Kegiatan ini melibatkan 30 kader di Desa Jekulo. Bentuk kegiatan yang dilakukan adalah pemberian penyuluhan mengenai kesehatan keluarga melalui deteksi dini, pencegahan, dan penanganann stunting, serta penyuluhan kesehatan lingkungan hingga demontrasi membuat media edukasi anak dari pemanfaatan sampah. Akhir kegiatan, respon positif dirasakan para kader karena mendapatkan pengetahuan tentang stunting dan pemanfaatan sampah guna mendukung turunnya angka kejadian stunting dan meningkatkan kesehatan lingkungan
PENCEGAHAN PENYAKIT TROPIS MELALUI PEMBERANTASAN AGENT DAN VEKTOR DENGAN MEMANFAATKAN TEKNOLOGI BIOPORI DAN KOMPOS Diana Tri Lestari; Noor Hidayah; Fitriana Kartikasari; Achmad Ridwan; Yayuk Mundriyastutik
Jurnal ABDIMAS Indonesia Vol 4, No 1 (2022): JURNAL ABDIMAS INDONESIA
Publisher : STIKES Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penyakit tropis berkaitan dengan cara hidup yang tidak sehat, higiene serta sanitasi lingkungan yang buruk. Untuk mencegah mewabahnya penyakit tropis maka perlu upaya untuk membuat lingkungan sehat sehingga agen dan vektor penyebab penyakit tropis tidak berkembang. Teknologi yang digunakan adalah teknik biopori dan kompos. Pengabdian masyarakat dilakukan dengan memberikan pendidikan pada masyarakat, mencakup kegiatan pemberian penyuluhan, kampanye teknologi biopori dan demonstrasi pembuatan lubang biopori dan kompos. Hasil dari pengabdian masyarakat ini pengetahuan masyarakat tentang pencegahan penyakit tropis melalui pemberantasan faktor penyebab dengan memanfaatkan teknologi biopori dan kompos. Dari aspek afektif, peserta menerima bahwa teknologi biopori dapat dikembangkan sebagai salah satu upaya pencegahan penyakit tropis dan dari aspek psikomotor, peserta mampu untuk membuat lubang resapan biopori dan kompos.
Application of the C4.5 Algorithm for Early Cervical Cancer Classification Taftazani Ghazi Pratama; Achmad Ridwan; Agung Prihandono
Urecol Journal. Part E: Engineering Vol. 1 No. 1 (2021): January - June
Publisher : Konsorsium LPPM Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53017/uje.4

Abstract

Cervical cancer is one of the cancers that is of global concern because of the high mortality rate in women. Preventive measures such as early detection are needed so that patients can get treatment more quickly. Fortunately, this disease can be prevented with the role of technology to help doctors in early detection of various types of cancer. The technology developed by the researchers is using machine learning algorithms. Therefore, in this study using the C4.5 algorithm to classify cervical cancer. This algorithm aims to classify 2 classes: people who have cervical cancer, people who are healthy. The results of the experiment obtained from the C4.5 algorithm are getting an accuracy of 98.61%, precision of 98.08%, and recall of 95.24% ROC curve shows 0.982%.
Co-Authors Agung Prihandono Agung Prihandono Dhina Cahya Rohim Diana Tri Lestari Fida Maisa Hana Fitriana Kartikasari Himayati, Ade Ima Afifa indah puspitasari Indanah Indanah Janu Arlinwibowo Muhammad Adib Jauhari Noor Hidayah Sukesih Sukesih Taftazani Ghazi Pratama Yayuk Mundriyastutik Yunus Mustaqim