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All Journal JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Journal of Soft Computing Exploration Indonesian Journal of Education Research and Technology (IJERT)
Hidayana, Elmi
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Classification of water quality based on dissolved solids and turbidity parameters with the utilization of total dissolved solids sensor and turbidity sensor Hidayana, Elmi; Setiawan, Edy; Juniani, Anda Iviana
Journal of Soft Computing Exploration Vol. 5 No. 3 (2024): September 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i3.376

Abstract

Clean water quality is essential for public health, but its scarcity is increasing amid population growth and industrialization. Monitoring turbidity and total dissolved solids (TDS) is essential to determine the quality of clean water. This study addresses the urgent need for accurate and reliable water quality monitoring to test the applicability of TDS and turbidity sensors in taking measurements, aiming to develop efficient monitoring solutions for public health and sustainable water management. The TDS sensor operates according to the principle of electrical conductivity, with a range of 0 to 1000 ppm and an accuracy of ±10%. The turbidity sensor detects water turbidity by determining the level of turbidity particles. The ESP32 microcontroller integrates Wi-Fi and USB capabilities. The hardware and software design ensures accurate sensor readings, which are critical to successful water quality measurement and monitoring. The test results show satisfactory accuracy of the TDS sensor with an average error of 0.09% and good accuracy of the turbidity sensor with an average error of about 1.536%. Concerning the above two parameters, in this study, among 15 water samples, seven were clean, meeting the standard, while eight water samples were dirty, exceeding the limit, making them unsafe for human consumption.
Enhancing Water Quality Prediction using the Decision Tree Approach with the C4.5 Algorithm Juniani, Anda Iviana; Nugraha, Anggara Trisna; Setiawan, Edy; Amelia, Putri; Handandi, Zukhruf Zidane; Hidayana, Elmi
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol. 8 No. 1 (2025): February 2025
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v8i1.14369

Abstract

Water quality is essential for safeguarding both public health and the environment. This study aims to develop a predictive model for assessing water quality using the Dtree (Decision Tree) method with the C4.5 algorithm. The research involves analyzing water samples from different sites around Sidomulyo Village, focusing on key parameters such as pH, Total Dissolved Solids (TDS), and turbidity. The objective is to create a model that categorizes water samples according to class II water quality standards. The research process includes data collection, initial data preparation, model development with the C4.5 algorithm, and performance evaluation. The results reveal that the dtree model achieved a high accuracy rate of 95.65% for water quality prediction. The confusion matrix analysis demonstrated a precision of 92.31% for predicting class II standards and 100% for identifying samples that did not meet these standards. These findings underscore the effectiveness of the C4.5 algorithm in evaluating water quality. The model offers valuable insights for water resource managers and policymakers, aiding in improved water quality monitoring and management. This research makes a significant contribution to enhancing decision support systems for more effective water quality management 
Dampak Pandemi Covid-19 Terhadap Perkembangan Sosial Emosional Anak Usia Dini Kelompok B2 TK Permata Hijau Desa Menggala Tahun Pelajaran 2021/2022 Arzani, Muhammad; Halimatuzzuhrotulaini, Baiq; Hidayana, Elmi
Indonesian Journal of Education Research and Technology (IJERT) Vol 2 No 2 (2022): Indonesian Journal of Education Research and Technology (IJERT)
Publisher : LPPM Universitas Nahdlatul Ulama Nusa Tenggara Barat

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Permasalahan penelitian ini adalah Bagaimana dampak pandemi covid-19 terhadap perkembangan sosial emosional anak usia dini kelompok B TK Permata Hijau Desa Menggala. Tujuan penelitian ini adalah untuk mengetahui dampak pandemi covid-19 terhadap perkembangan sosial emosional anak usia dini kelompok B TK Permata Hijau Desa Menggala. Jenis penelitian ini merupakan deskriptif dengan menggunakan pendekatan kualitatif, dan jumlah subjek dalam penelitian ini sejumlah 19 siswa yang terdiri dari 11 laki-laki dan 8 perempuan. Indicator yang dinilai dalam penelitian ini adalah 1). Kesadaran Diri, 2). Rasa tanngung jawab untuk diri sendiri dan orang lain, 3). Perilaku prososial. Masing-masing indicator memiliki 4 deskriptor untuk indicator kesadaran diri yaitu : (1) Mampu memakai masker tanpa bantuan orang lain, (2) Mampu membuang sampah pada tempatnya, (3) Mampu mencuci tangan tanpa bantuan orang lain, (4) Mampu berdoa dengan tertib rapi sebelum dan sesudah belajar, untuk indicator rasa tanggung jawab terhadap diri sendiri dan orang lain yaitu : (1) Mengembalikan alat permainan pada temptnya, (3) Mau berbagi menolong dan membantu teman (3) Menghargai karya teman, (4) Mampu Mengerjakan tugas sendiri, untuk indicator perilaku prososial yaitu : (1) Mampu bermain secara kooperatif (2) Bermain dengan teman sebaya (3) Mengetahui perasaan temanya dan meres;on secara wajar (4) Bekerjasama dalam menyelsaikan tugas, dari ketiga indicator tersebut bahwa pencapaian siswa kelompok B2 TK Permata Hijau 1 siswa dari 19 siswa dikategorikan Belum Berkembang (BB) dengan persentase 5,26 % dan 11 siswa dari 19 siswa dikategorikan Mulai Berkembang (MB) dengan persentase 57,89% dan 7 siswa dari 19 siswa dikategorikan Berkembang Sesuai Harapan (BSH) dengan persentase 36,84 % dan siswa untuk kategori Berkembang Sangat Baik tidak ada. Hal ini menunjukkan bahwa dampak pandemo covid-19 terhadap perkembangan sosial emosional anak usia dini Kelompok B2 TK Permata Hijau Desa Menggala termasuk pada kategori Mulai Berkembang (MB) dengan persentase 57,89%.
Co-Authors Amelia, Putri Anda Iviana Juniani Anggara Trisna Nugraha Arzani, Muhammad Edy Setiawan Halimatuzzuhrotulaini, Baiq Handandi, Zukhruf Zidane