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All Journal Inovasi Fisika Indonesia (IFI) Jurnal Pijar MIPA
Masfufah, Kiki Syalasyatun
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Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Electrical & Electronics Engineering Materials Science & Nanotechnology Mathematics Physics

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KEEFEKTIFAN JENIS MATERIAL PADA PENERAPAN TEKNOLOGI NAFTA (NANOTECH FILTRASI) AIR PAYAU MENJADI AIR TAWAR DI DESA SAWOHAN, SIDOARJO.: NAFTA, air payau, nanoteknologi, filtrasi, air bersih, Desa Sawohan Yuansyah Dhaniar Ramadhan; Zarkasi, Mursyid; Masfufah, Kiki Syalasyatun; Adiba, Fara; Nurjannah, Cinta Dewi; Velina, Maharani Triya; Andreansyah, Nicko William
Inovasi Fisika Indonesia Vol. 14 No. 1 (2025): Vol 14 No 1
Publisher : Prodi Fisika FMIPA Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ifi.v14n1.p124-131

Abstract

Ketersediaan air bersih menjadi kebutuhan yang sangat mendesak di berbagai wilayah pesisir, termasuk Desa Sawohan, Sidoarjo, yang saat ini menghadapi krisis air bersih akibat intrusi air laut ke sumber air tawar. Penelitian ini berfokus pada penggunaan teknologi NaFTA (Nanotech Filtrasi) sebagai solusi untuk mengolah air payau menjadi air tawar yang layak dikonsumsi. Teknologi NaFTA memanfaatkan metode filtrasi berbasis nanoteknologi yang mampu menyaring partikel halus serta garam yang terkandung dalam air payau, sehingga menghasilkan air yang aman untuk diminum. Dibandingkan dengan metode konvensional seperti desalinasi termal atau reverse osmosis, teknologi ini lebih efisien dan ramah lingkungan. Penelitian dilaksanakan di Desa Sawohan dengan memasang perangkat filtrasi nanoteknologi pada sumur-sumur yang terdampak oleh air payau. Hasil uji laboratorium menunjukkan bahwa teknologi NaFTA efektif dalam mengurangi kadar garam dan kontaminan, sehingga air yang dihasilkan memenuhi standar air minum yang ditetapkan oleh WHO. Implementasi teknologi ini diharapkan dapat membantu mengatasi krisis air bersih di wilayah pesisir, dan menjadi solusi yang dapat diadopsi oleh daerah lain yang menghadapi tantangan serupa. Penerapan ini juga sejalan dengan Tujuan Pembangunan Berkelanjutan (SDGs) Goal 6, yaitu memastikan ketersediaan dan pengelolaan air bersih yang berkelanjutan untuk semua. Kata kunci: NAFTA, air payau, nanoteknologi, filtrasi, air bersih, Desa Sawohan Abstract The availability of clean water has become an urgent necessity in many coastal areas, including Sawohan Village, Sidoarjo, which is currently facing a clean water crisis due to seawater intrusion into freshwater sources. This study focuses on the application of NaFTA (Nanotech Filtration) technology as a solution to treat brackish water into potable water. NaFTA technology utilizes a nanotechnology-based filtration method capable of filtering fine particles and salt contained in brackish water, resulting in safe drinking water. Compared to conventional methods like thermal desalination or reverse osmosis, this technology is more efficient and environmentally friendly. The study was conducted in Sawohan Village by installing nanotech filtration devices in wells affected by brackish water. Laboratory test results show that NaFTA technology is effective in reducing salt levels and contaminants, producing water that meets WHO drinking water standards. The implementation of this technology is expected to help resolve the clean water crisis in coastal areas and serve as a solution that can be adopted by other regions facing similar challenges. This initiative also aligns with Sustainable Development Goals (SDGs) Goal 6, which aims to ensure the availability and sustainable management of clean water for all. Keywords: NAFTA, brackish water, nanotechnology, filtration, clean water, Sawohan Village
Tidal Flood Prediction in Surabaya Based on Hydrometeorological Data Using Gradient Boosting and Logistic Regression Setyaningrum, Kartika Dwi Indra; Masfufah, Kiki Syalasyatun; Rahmawati, Endah; Hermanto, Ady
Jurnal Pijar Mipa Vol. 20 No. 6 (2025)
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v20i6.10068

Abstract

This research aims to develop a predictive model for tidal inundation at Tanjung Perak Port in Surabaya, a region identified as critical and highly susceptible to such events. The foundational data incorporated comprises hydrometeorological indicators, such as lunar cycles, tidal patterns, and precipitation levels, which were sourced from the BMKG Tanjung Perak Maritime Meteorological Station. A dataset comprising 26,275 individual data points was compiled and subsequently partitioned into training sets (80% of the data) and validation sets (20%) via randomization. This apportionment is intended to support the robustness and applicability of the developed model. The initial data preparation phase involved techniques such as data normalization, imputation of missing values, and the determination of variable weights based on their respective degrees of impact. Subsequently, two distinct machine learning methodologies were employed to construct the predictive framework: Gradient Boosting (specifically, XGBoost) and Logistic Regression. The efficacy of the resultant models was rigorously assessed using various metrics, including accuracy, confusion matrix analysis, ROC-AUC scores, and feature significance analysis. Analysis of the outcomes indicated that the Gradient Boosting model achieved a superior accuracy of 99.96%, whereas Logistic Regression attained 99.85%. An examination of the features revealed that lunar cycles and tidal conditions were the principal determinants of tidal inundation, with precipitation exerting a comparatively minor effect. These observations substantiate the efficacy of integrating suitable data preparation techniques with machine learning methodologies to achieve precise predictive outcomes. The principal contribution of this investigation is the establishment of a computational framework to facilitate the development of an advanced warning system for tidal flooding, thereby aiding hazard reduction and limiting adverse societal, financial, and operational consequences in littoral regions.
Co-Authors Andreansyah, Nicko William Endah Rahmawati Fara Adiba Hermanto, Ady Nurjannah, Cinta Dewi Setyaningrum, Kartika Dwi Indra Velina, Maharani Triya Yuansyah Dhaniar Ramadhan Zarkasi, Mursyid