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Analisis Kualitas Sumber Mata Air Desa Seraya Marannu Berdasarkan Parameter Fisika, Kimia, dan Biologi Meiliza, Poppy Ratu; Ramdhoni, Kasyfi Amalul; Seno, Nathaniela Apdie; Gobel, Khaeriska Rahayu
LANCAH: Jurnal Inovasi dan Tren Vol. 3 No. 1 (2025): DESEMBER 2024 - MEI 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ljit.v3i1.3418

Abstract

The availability of clean water is a basic need that is very important for people's lives, especially in rural areas such as Seraya Marannu Village. This study aims to analyze water quality based on physical, chemical, and biological parameters in accordance with applicable standards. Physical parameters used the Gravimetric Method to determine total dissolved solids (TDS), while chemical parameters including pH, Total Hardness (CaCO3), COD, BOD, and Dissolved Oxygen (DO) used the Potentiometric Method (pH measurements were made using a pH meter), Titrimetric Method, Spectrophotometric Method, Dilution Method, and Direct Reading Method for each parameter. For biological parameters, Total Coliform analysis was conducted using the APHA 9221 B Method. The analysis results show that each parameter that has been analyzed produces parameter values that do not exceed the permissible quality standard limits, except for the pH parameter which is indeed when sampling, the sample is added with HNO3 until the pH of the solution is 2. This treatment aims to maintain the condition of the sample until the time of testing in the laboratory. For physical and chemical parameters, it is known that the Total Dissolved Solids value is 866 mg/L, pH 5, Total Hardness (CaCO3) 545.45 mg/L, COD 9.41 mg/L, BOD 2.7 mg/L, and Dissolved Oxygen (DO) 5.6 mg/L. It is also known that in the biological parameters the sample has a total coliform of 0 CFU/100ml so that the water sample is not suitable for consumption because it does not meet the quality standards based on Permenkes No.2 of 2023 concerning mandatory drinking water parameters. From the results of this study, it is hoped that the community can better understand the condition of the water sources they use and support better water management planning in the future.
Analisis Kualitas Sumber Mata Air Desa Seraya Marannu Berdasarkan Parameter Fisika, Kimia, dan Biologi Meiliza, Poppy Ratu; Ramdhoni, Kasyfi Amalul; Seno, Nathaniela Apdie; Gobel, Khaeriska Rahayu
LANCAH: Jurnal Inovasi dan Tren Vol. 3 No. 1 (2025): DESEMBER 2024 - MEI 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ljit.v3i1.3418

Abstract

The availability of clean water is a basic need that is very important for people's lives, especially in rural areas such as Seraya Marannu Village. This study aims to analyze water quality based on physical, chemical, and biological parameters in accordance with applicable standards. Physical parameters used the Gravimetric Method to determine total dissolved solids (TDS), while chemical parameters including pH, Total Hardness (CaCO3), COD, BOD, and Dissolved Oxygen (DO) used the Potentiometric Method (pH measurements were made using a pH meter), Titrimetric Method, Spectrophotometric Method, Dilution Method, and Direct Reading Method for each parameter. For biological parameters, Total Coliform analysis was conducted using the APHA 9221 B Method. The analysis results show that each parameter that has been analyzed produces parameter values that do not exceed the permissible quality standard limits, except for the pH parameter which is indeed when sampling, the sample is added with HNO3 until the pH of the solution is 2. This treatment aims to maintain the condition of the sample until the time of testing in the laboratory. For physical and chemical parameters, it is known that the Total Dissolved Solids value is 866 mg/L, pH 5, Total Hardness (CaCO3) 545.45 mg/L, COD 9.41 mg/L, BOD 2.7 mg/L, and Dissolved Oxygen (DO) 5.6 mg/L. It is also known that in the biological parameters the sample has a total coliform of 0 CFU/100ml so that the water sample is not suitable for consumption because it does not meet the quality standards based on Permenkes No.2 of 2023 concerning mandatory drinking water parameters. From the results of this study, it is hoped that the community can better understand the condition of the water sources they use and support better water management planning in the future.
Strategizing Financial Triumph: Applying Advanced Mathematical Models to Revolutionize Bond Investments in the Modern Financial Industry Pasha, Raisa Huria; Seno, Nathaniela Apdie
International Journal of Quantitative Research and Modeling Vol. 5 No. 2 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i2.668

Abstract

The importance of applying advanced mathematical models in bond investing marks a revolutionary step in the modern financial industry, enabling more scalable and adaptive strategies to achieve financial success. The purpose of this talk is to explore and detail the role of advanced mathematical models in changing the bond investment paradigm. The discussion aims to highlight the crucial role of advanced mathematical models in changing the bond investment paradigm, providing a deeper understanding of the optimal potential and risks involved, explaining how this approach can optimize financial outcomes through more detailed analysis. The application of mathematical models involves the use of sophisticated algorithms and statistical analysis to identify optimal investment opportunities. These steps include the use of advanced financial math formulas, such as yield to maturity and duration, to design investment strategies that are adaptive and responsive to bond market dynamics. The application of mathematical models results in a deeper understanding of the bond market, allowing investors to respond quickly to changing market conditions. Thus, the investment strategy formed by this approach can not only improve investment returns, but also reduce the risks that investors may face. The application of advanced mathematical models in bond investing opens the door to smarter and more informed decision-making. By combining data and mathematical analysis, investors can maximize potential investment returns and manage risks more effectively.