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"Sistem perairan memiliki nilai dan peran dalam masyarakat yaitu nilai ekonomi, nilai sosial, dan nilai lingkungan ekologis. Namun, peningkatan populasi dan sifat kegiatan manusia yang cenderung mengeksploitasi alam pada akhirnya mengganggu siklus air, menyebabkan degradasi lingkungan, dan juga menurunkan nilai perairan. Situ Rawa Besar adalah situ yang berfungsi sebagai kawasan resapan air, kenyataannya kualitas perairan Situ Rawa Besar rendah. Saat ini, timbul cemaran bau dari perairan Situ Rawa Besar, padahal sudah ada upaya yang dilakukan pemerintah terkait pengelolaan situ. Masalah pada riset ini adalah belum diketahui kualitas perairan Situ Rawa Besar saat ini, sumber dampak dari rendahnya kualitas perairan, dan alternatif solusi terbaik dari permasalahan kualitas perairan Situ Rawa Besar terkait pengelolaan situ secara berkelanjutan. Tujuan pada riset ini adalah menganalisis kualitas perairan Situ Rawa Besar saat ini ditinjau dari parameter kimia, mikrobiologi, dan plankton, menganalisis sumber dampak, serta memilih alternatif terbaik untuk memperbaiki kualitas perairan Situ Rawa Besar. Metode yang digunakan adalah metode campuran (mixed method) yaitu metode kuantitatif dan kualitatif dengan pendekatan kualitatif. Penetapan alternatif solusi terbaik menggunakan model AHP. Hasil riset ini menunjukkan bahwa kualitas perairan Situ Rawa Besar saat ini ditinjau dari parameter kimia, mikrobiologi, dan plankton yaitu tidak memenuhi baku mutu dan menunjukan kondisi perairan yang labil. Sumber dampak rendahnya kualitas perairan di Situ Rawa Besar dari frekuensi terbesar hingga terendah adalah alih fungsi lahan, limbah domestik cair, keramba, dan limbah domestik padat. Alternatif solusi terbaik untuk memperbaiki kualitas perairan Situ Rawa Besar ditinjau dari kriteria manfaat langsung, biaya, waktu dan partisipasi masyarakat adalah lahan basah buatan. Kesimpulan pada riset ini adalah kualitas perairan Situ Rawa Besar dapat diperbaiki dengan membangun lahan basah buatan.

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Water systems have values ​​and roles in society, namely economic values, social values, and ecological environmental values. However, increasing the population and the nature of human activities that tend to exploit nature ultimately disrupt the water cycle, cause environmental degradation, and also reduce the value of waters. Situ Rawa Besar is a situ that functions as a water catchment area the quality of Situ Rawa Besar waters is low. Currently, odor contamination arises from the waters of Situ Rawa Besar, even though there have been efforts by the government related to situ management. The problem in this research is that the quality of Situ Rawa Besar waters is unknown, the source of the impact of the low quality of waters, and the best alternative solution to the problem of Situ Rawa Besar waters quality related to the sustainable management of situ. The purpose of this research is to analyze the current quality of Situ Rawa Besar waters in terms of chemical and microbiological parameters, analyze the source of impacts, and choose the best alternative to improve the quality of Situ Rawa Besar waters. The method used is a mixed-method, namely quantitative and qualitative methods with a qualitative approach. Determination of the best alternative solutions using the AHP model. The results of this research indicate that the quality of Situ Rawa Besar waters in terms of chemical, microbiological, and plankton parameters is not meeting the quality standards and showing unstable water conditions. The source of the impact of the low quality of waters in Situ Rawa Besar from the largest to the lowest frequency is land-use change, liquid domestic waste, cages, and solid domestic waste. The best alternative solution to improve the quality of Situ Rawa Besar waters in terms of the criteria of direct benefits, costs, time and community participation is constructed wetlands. This research concludes that the quality of Situ Rawa Besar waters can be improved by building constructed wetlands"

"Mengingat disaat kebutuhan air melonjak, diperlukan alternatif untuk memperoleh air bersih. Salah satunya dengan cara memanfaatkan keberadaan airtanah dangkal. Akan tetapi tidak semua airtanah dangkal memiliki kualitas yang baik untuk dikonsumsi. Dengan itu, penelitian ini bertujuan mendeskripsikan pola spasial kualitas air tanah dangkal serta mendeskripsikan kaitan antara pola spasial kualitas air tanah dengan litologi, penggunaan lahan dan keadalaman muka air tanah di DAS Cijurey, Kabupaten Majalengka. Terdapat dua jenis parameter yang digunakan, yaitu fisik dan kimia. Pengukuran kualitas air tanah dangkal dilakukan pada bulan November tahun 2019. Hasil penelitian menunjukkan persebaran wilayah kualitas air tanah dan hubungan antara air tanah dengan ketiga faktor pengaruh di DAS Cijurey. Dengan jumlah sampel yang digunakan adalah 41 titik, pengambilan sampel kualitas air tanah dengan metode purposive random sampling. Sebagaimana, parameter yang diukur akan dibandingkan dengan 3 baku mutu yaitu, Peraturan Menteri No.492/MENKES/PER/IV/2010, Peraturan Pemerintah Republik Indonesia No.82 th.2001, dan Peraturan Menteri kesehatan RI No.01/Birhukmas/1975. Setelah itu didapatkan hasil kualitas air yang layak (6 sampel) dan tidak layak (35 sampel) untuk dikonsumsi. Serta, faktor yang mendominasi dari penggunaan lahan yaitu permukiman, untuk litologi yang mendominasi ialah batuan vulkanik tak terurai, dan kedalaman muka air tanahnya yang kedalamannya 0-5 m.

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Considering when the water needs to surge, an alternative is needed to obtain clean water. One of them by utilizing the presence of shallow groundwater. However, not all shallow groundwater has good quality to consume. Thus, the study aims to describe the shallow quality spatial pattern of the groundwater and describe the link between the spatial pattern of groundwater quality with litology, land use and groundwater IN DAS Cijurey, Majalengka regency. There are two types of parameters used, namely physical and chemical. The shallow groundwater Quality measurement was carried out in November 2019.

The results showed the territorial distribution of groundwater quality and the connection between groundwater and the three influence factors at DAS Cijurey. With the number of samples used is 41 point, groundwater quality sampling with  purposive random sampling method. As, the parameters measured will be compared to 3 quality standards namely,  Ministerial Regulation No. 492/Menkes/PER/IV/2010, Government regulation of the Republic of Indonesia No. 82nd. 2001, and  Regulation of the Minister of Health RI  No. 01/birhukmas/1975. After that, a decent water quality result (6 samples) is not feasible (35 samples) for consumption. As well, the dominating factors of land use i.e. settlement, for the dominating litology is the unraveling volcanic rock, and the depth of the water in its depths of 0-5 meters."

"Air merupakan sumber daya yang paling penting bagi kehidupan, oleh karena itu perlu diperhatikan dan dijaga kualitasnya. Dalam studi air, ML menawarkan banyak peluang untuk mengklasifikasikan kualitas air. Hasil akurasi klasifikasi kualitas air bergantung pada model yang digunakan, ukuran kumpulan data, dan parameter air yang digunakan untuk melatih model pembelajaran. Dalam makalah ini, model SVM, NB, DT, RF, dan CATBoost digunakan untuk memodelkan proses klasifikasi kualitas air. Metode feature selection: filter, wrapped, dan embeded akan dibandingkan, bersama dengan model dengan pemilihan parameter manual yang dipilih berdasarkan kemudahan pengukurannya. Menggunakan embedded feature selection dan DT classifier dengan SMOTE sebagai metode penyeimbangan kelas, model ini dapat mencapai akurasi 99,33%, presisi 99,43%, daya ingat 99,33%, dan skor F1 99,34%. Model untuk indikasi kualitas air secara realtime juga diperoleh dengan classifier CatBoost, dengan akurasi 92,31%, presisi 91,72%, recall 92,31%, dan skor F1 91,75%.

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Water is the most important resource for life, hence it’s quality needs to be checked and maintained. In water studies, ML offers numerous opportunities for classifying Water Quality (WQ) indicators. Results of WQ classification accuracy depend on the model used, the size of the data set, and the water parameters used to train the learning models. In this paper, SVM, NB, DT, RF, and CATBoost models are used to model a WQ classification. Filter, wrapped, and embedded feature selection methods will be compared, along with a model with a manual selection of parameters that are selected based on their ease of measurement. Using embedded feature selection and DT classifier with SMOTE as class balancing method, the model can achieve 99.33% accuracy, 99.43% precision, 99.33% recall, and 99.34% F1-score. Model for realtime water quality indication is also obtained with CatBoost classifier, it achieve 92.31% accuracy, 91.72% precision, 92.31% recall, and 91.75% F1-score."

"Mae Teang District is home to many tributaries of the Ping River. Each tributary is associated with different geographical characteristics and uses. This study is the first report on benthic diatom diversity in the designated water bodies and the first comparison of benthic diatom distribution in the Ping River and its tributaries, including the Mae Hao and Mae Luang Streams in Mae Taeng District of Chiang Mai Province, Thailand. The benthic diatom distribution and physico-chemical properties were investigated in August and November 2015 at three locations in each water body. The highest abundance of benthic diatoms was found in the Ping River (143 species), followed by Mae Hao (132 species) and Mae Luang Streams (90 species). The most abundant species found in the Ping River were Planothidium lanceolatum, Nitzschia palea, Navicula cryptotenella and Seminavis strigosa. The most abundant species found in the Mae Hao Stream were Nitzschia palea, Seminavis strigosa, Surirella splendida and Sellaphora pupula. The most abundant species found in the Mae Luang Stream were Navicula cryptotenella, Diadesmis contenta, Karayevia oblongella and Achnanthes brevipes. Additionally, Amphipleura lindheimeri Grunow was identified as a newly recorded species for Thailand. This study revealed that the Ping River and Mae Hao Stream are similar bodies of water when compared with the Mae Luang Stream in terms of benthic diatom diversity and water quality. In addition, indicator species of tolerance and sensitivity to organic pollution were found. In conclusion, the areas of utilization were found to have affected the distribution of benthic diatoms in these water bodies, along with the water quality of the Ping River and its tributaries."

"The findings of numerous studies on the responses of stream quality indicators to different levels of watershed development have been integrated into an impervious cover model. The focus on one development stressor, namely the impervious cover, allows the decision makers to use the impervious cover model as a watershed planning tool to forecast stream response. In evaluating stream quality, the studies used various indicators such as pollutant loads, habitat quality, aquatic species diversity and abundance, and others. This study aims to test the applicability of the impervious cover model as a tool to set the threshold of catchment area development based on the targeted water quality index. The model is represented by a linear relationship between the water quality index as a response variable and catchment area imperviousness as an explanatory variable. The study area is an urbanized catchment area of a cascade-pond system located at the campus of Universitas Indonesia, Depok, West Java. Estimation of catchment area imperviousness is based on digital globe imagery and digitized based on identified rooftops. The water quality data to compute the water quality indices are collected from previous studies and related reports. The targeted water quality index is determined based on water use suitability referring to the Indonesian government regulation number 82/2001. Based on the available data, an increasing tendency of temporal variation of catchment area imperviousness for each pond can be recognized, while water quality index of each pond tends to decrease over time. In accordance with land cover distribution, spatial tendency indicates that imperviousness is decreasing in downstream direction, while water quality index is increasing in downstream direction, in line with the characteristics of cascade ponds. The results demonstrate that despite the fact that the available data are very limited, it is possible to use the linear relationship between catchment area imperviousness and water quality index as a tool to set the threshold for future development on the catchment area of the cascade-pond system at the campus of Universitas Indonesia with a minimum water quality index suitable just for recreation activities."

"Air minum merupakan kebutuhan penting bagi setiap manusia. Universitas Indonesia kampus Depok menyediakan fasilitas air siap minum. Pada penelitian kualitas air tanah di Kota Depok yang dilakukan tahun 2022, diperoleh bahwa kualitas air tanah parameter Fisik di Kota Depok belum sepenuhnya memenuhi standar baku mutu. Namun kualitas air siap minum di Universitas Indonesia tidak dilakukan pengecekan kualitas air secara berkala, termasuk kualitas air siap minum parameter fisik. Tujuan penelitian Menganalisis kualitas parameter Fisik air siap minum sebelum dan sesudah filtrasi yang tersedia di setiap fakultas Universitas Indonesia kampus Depok Tahun 2023. Uji yang digunakan pada penelitian ini analisis deskriptif dengan desain studi cross sectional. Sampel yang diambil adalah air siap minum sebelum dan sesudah filtrasi di Universitas Indonesia kampus Depok tahun 2023 dengan jumlah sampel sebanyak 9 sampel untuk air siap minum sebelum filtrasi dan 9 sampel air siap minum. Pengukuran kualitas air parameter fisik ini dilakukan secara in situ dan uji laboratorum. Pengukuran parameter kekeruhan, warna, badan Total Zat Terlarut diuji di laboratorium Labkesda DKI Jakarta. Hasil analisis menunjukkan bahwa kualitas air siap minum parameter fisik sebelum filtrasi di Universitas Indonesia tahun 2023 yang memenuhi persyaratan yaitu berjumlah 3 sampel (33,3%)  dari 9 sampel yang diteliti dan 66,7% lainnya tidak memenuhi syarat. hasil analisis menunjukkan bahwa kualitas air siap minum sesudah filtrasi parameter fisik di Universitas Indonesia tahun 2023 yang memenuhi persyaratan berjumlah 3 sampel (33,3%)  dari 9 sampel yang diteliti 66,7% lainnya tidak memenuhi syarat. hasil analisis uji bivariat, hanya parameter suhu yang terdapat perbedaan antara kualitas air siap minum sebelum dan sesudah filtrasi. Hal tersebut ditunjukkan dengan nilai p value 0,008 (p<0,05). Sedangkan untuk parameter kekeruhan, warna, bau, daya hantar listrik, Total Zat Terlarut dan pH tidak ada perbedaan yang signifikan. Kesimpulan dari penelitian ini adalah 9 dari air siap minum sebelum di filtrasi yang diteliti, hanya 3 sampel yang memenuhi persyaratan parameter fisik dan 9 dari air siap minum sesudah filtrasi yang diteliti yang memenuhi persyaratan parameter fisik berjumlah 3 sampel sesuai dengan Peraturan Menteri Kesehatan Nomor 2 Tahun 2023.

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Drinking water is an important need for every human being. The University of Indonesia's Depok campus provides ready-to-drink water facilities. In research on the quality of groundwater in Depok City which will be conducted in 2022, it is found that the physical parameter groundwater quality in Depok City has not fully met the quality standards. However, the quality of ready-to-drink water at the University of Indonesia does not regularly check the quality of water, including the quality of ready-to-drink water on physical parameters. The research objective was to determine the quality of the physical parameters of ready-to-drink water before and after filtration available in every faculty of the University of Indonesia, the Depok campus, in 2023. The test used in this study was descriptive analysis with a cross-sectional study design. The samples taken were ready-to-drink water before and after filtration at the University of Indonesia, Depok campus in 2023 with a total sample of 9 ready-to-drink water before filtration and 9 ready-to-drink water samples. Measurement of water quality physical parameters is carried out in situ and laboratory tests. Measurement of the parameters of turbidity, color, total body dissolved substances were tested at the Labkesda DKI Jakarta laboratory. The results of the analysis show that the physical parameters of ready-to-drink water quality before filtration at the University of Indonesia in 2023 meet the requirements, namely 3 samples (33.3%) of the 9 samples studied and the other 66.7% do not meet the requirements. The results of the analysis show that the quality of ready-to-drink water after filtration for physical parameters at the University of Indonesia in 2023 meets the requirements of 3 samples (33.3%) of the 9 samples studied, 66.7% do not meet the requirements. the results of the bivariate test analysis, only the temperature parameter that there is a difference between the quality of ready-to-drink water before and after filtration. This is indicated by the p value of 0.008 (p <0.05). As for the parameters of turbidity, color, odor, electrical conductivity, total dissolved substances and pH there is no significant difference. The conclusion of this study is that 9 of the ready-to-drink water before being filtered were studied, only 3 samples that met the physical parameter requirements and 9 of the ready-to-drink water after being filtered that were studied that met the physical parameter requirements, totaling 3 samples in accordance with Minister of Health Regulation Number 2 Year 2023."

"Produksi sediaan di Industri Farmasi tidak terlepas dari peran apoteker pada pengawasan mutu terhadap bahan baku yang digunakan, salah satunya adalah purified water berdasarkan spesifikasi fisik, kimia, dan mikrobiologi. Purified water yang digunakan oleh PT Darya Varia Laboratoria Plant Gunung Putri tersimpan pada Carboy sebelum digunakan oleh Departemen Produksi sehingga waktu simpan perlu diketahui dengan protokol studi yang jelas untuk mengetahui ketahanan mutu purified water dan menentukan waktu pencucian dan pergantian purified water. Protokol studi dibuat melalui studi literatur, wawancara dengan salah satu laboran dan salah satu analis Quality Control (QC) Laboraorium Kimia, penentuan parameter dan periode pemeriksaan purified water. Berdasarkan proses tersebut, dihasilkan protokol studi yang telah disetujui oleh supervisor Laboratorium Kimia dan Mikrobiologi, manager QC, dan manager QA dengan isi berupa tujuan, cakupan, tanggung jawab, peralatan dan bahan, prosedur, dan kriteria penerimaan seperti pemerian, pH, konduktivitas, Total Organic Carbon (TOC), Total Count Bacteria, Escherichia coli, dan Pseudomonas aeruginosa disertai form pemeriksaan pada hari ke-0, 1, 2, 3, 4, 7, 10, dan 14.

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The production of preparations in the Pharmaceutical Industry cannot be separated from the role of pharmacists in quality control of the raw materials used, one of which is purified water based on physical, chemical, and microbiological specifications. Purified water used by PT Darya Varia Laboratoria Plant Gunung Putri is stored in Carboy before being used by the Production Department so that the shelf time needs to be known with a clear study protocol to determine the quality resistance of purified water and determine the time for washing and changing purified water. The study protocol was made through literature studies, interviews with one of the laboratory assistants and one of the Quality Control (QC) analysts of the Chemistry Laboratory, determining the parameters and period of purified water inspection. Based on this process, a study protocol was produced that was approved by the Chemistry and Microbiology Laboratory supervisor, QC manager, and QA manager with contents in the form of objectives, scope, responsibilities, equipment and materials, procedures, and acceptance criteria such as description, pH, conductivity, Total Organic Carbon (TOC), Total Count Bacteria, Escherichia coli, and Pseudomonas aeruginosa accompanied by inspection forms on days 0, 1, 2, 3, 4, 7, 10, and 14."

"With an increasing population, the effects of climate change and limited water resources, water reuse is an option that must be explored in order to reduce the high water stress in Indonesia. This study aims to identify enablers of, barriers to, and opportunities for early adopters of water recycling in the business sector of the Greater Jakarta region of Indonesia, and to highlight the possibilities of its wider implementation in order to reduce water stress. Semi-structured interviews, desk reviews, and observations were conducted with eight enterprises. Most respondents demonstrated that their main purpose for recycling water is to reduce costs. Recycled water was mostly used where there are minimal possibilities of direct contact with people to reduce the impact of social barriers. While the absence of a clear legal framework was identified as another barrier to water recycling implementation, this can also serve as an enabler. The decrease in raw water quality makes water recycling a cost-effective solution. Considering all findings, water recycling in Indonesia has great potential to be more widely applied and to be supported by related stakeholders."

"Maraknya kegiatan destructive fishing yang terjadi pada wilayah perairan laut memberikan dampak kepada ekosistem terumbu karang dan kualitas air. Dalam mengukur kualitas air perairan laut dapat digunakan parameter klorofil-a dan dissolved oxygen. Salah satu wilayah perairan yang menjadi tempat sasaran kegiatan destructive fishing ialah wilayah perairan Pulau Samatellu Pedda, Sulawesi Selatan. Sehingga, penelitian ini bertujuan untuk menganalisis persebaran konsentrasi klorofil-a dan dissolved oxygen pada tahun 2014 dan 2021, serta menganalis pengaruh kegiatan destructive fishing terhadap persebaran konsentrasi klorofil-a dan dissolved oxygen di wilayah perairan Pulau Samatellu Pedda. Dalam mengidentifikasi perubahan konsentrasi klorofil-a dan dissolved oxygen secara spasial dan temporal, digunakan pengaplikasian algoritma pada Citra Landsat 8 OLI/TIRS. Dalam menjelaskan variasi akurasi dari konsentrasi klorofil-a dan dissolved oxygen, digunakan variabel habitat bentik, kedalaman perairan dan jarak dari garis pantai. Hasil penelitian ini menunjukan dari tahun 2014 hingga tahun 2021 terjadi peningkatan konsentrasi klorofil-a sebesar 4,14 Ha dan penurunan konsentrasi klorofil-a sebesar 0,18 Ha, serta peningkatan konsentrasi dissolved oxygen pada semua wilayah perairan. Selain itu, kegiatan destructive fishing berpengaruh terhadap penurunan konsentrasi klorofil-a yang ditunjukan dengan penurunan nilai pada rentang 0-0,15 mg/m3 dan 0,15-0,20 mg/m3 menjadi 0-0,15 mg/m3. Sedangkan, kegiatan destructive fishing tidak memiliki pengaruh yang signifikan terhadap konsentrasi dissolved oxygen dikarenakan data penginderaan jauh dissolved oxygen pada penelitian ini bersifat homogen.

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The rise of destructive fishing activities that occur in coastal waters give impact on coral reef ecosystems and water quality. In measuring water quality at the coastal waters, the parameters of chlorophyll-a and dissolved oxygen can be used. One of the water areas that the target of destructive fishing activities is the coral reef ecosystem of Samatellu Pedda Island, South Sulawesi. Thus, this study aims to analyze the distribution of concentration chlorophyll-a and dissolved oxygen in 2014 and 2021, as well as analyzing the effect of destructive fishing for water quality in the coral reef ecosystem of the Island Samatellu Pedda. In identifying of the concentration of chlorophyll-a and dissolved oxygen changes, the algorithm is applied to Landsat 8 OLI/TIRS imagery. To explain accuracy variation of chlorophyll-a and dissolved oxygen algorithm, the bentic habitat, water depth and distance from the shoreline variable is used. The results of this study show that from 2014 to 2021 there was an increase in the concentration of chlorophyll-a in the amount of 4.14 Ha and a decrease in the concentration of chlorophyll-a in the amount of 0.18 Ha, as well as an increase in the concentration of dissolved oxygen in whole water areas. In addition, destructive fishing affects the chlorophyll-a concentration decreasing as indicated by a decrease in values in the range of 0-0.15 mg/m3 and 0.15-0.20 mg/m3 to 0-0.15 mg/m3. In contrast, destructive fishing does not have a significant effect on dissolved oxygen concentration because remote sensing data of dissolved oxygen in this study is homogeneous."

"Budidaya ikan merupakan salah satu industri pokok yang dalam pembudidayaan nya memerlukan berbagai parameter terhadap lingkungan hidupnya. Parameter fisik, kimia, dan biologis sangat diperlakukan agar budidaya ikan tersebut menghasilkan ikan yang berkualitas. Ikan memerlukan habitat yang sesuai agar dapat hidup sehat dan tumbuh secara optimal. Ikan memiliki persyaratan tertentu sehingga dalam suatu usaha budidaya ikan kualitas air harus selalu diawasi. Untuk itu, pengelolaan dan pengawasan kualitas air dilakukan untuk menjamin kualitas air tetap terjaga dengan baik. Water quality monitoring system berbasis LoRa akan membantu pembudidaya ikan karena sistem ini memonitor ikan secara terus menerus dan real-time. Parameter yang sangat penting pada air untuk budidaya ikan adalah kekeruhan air dan pH. sensor yang berada pada sisi end-device akan mendeteksi parameter kualitas air yaitu kekeruhan dan pH. Data akan dikirimkan menuju gateway kemudian diteruskan menuju Thingspeak yang akan ditampilkan pada dashboard. Parameter pengujian yang dilakukan pada penelitian ini adalah kinerja sistem dalam membaca dan mengirimkan data menuju Thingspeak. Kemudian, pengujian Quality of Service (QoS) juga dilakukan dengan melihat nilai packet loss, PDR, RSSI, dan SNR. Pengujian ini akan dilakukan dengan kondisi LOS (Line of Sight) dengan jarak 100 m, 250 m dan 500 m dan NLOS (Non-Line of Sight) yang memiliki 4 variasi jarak yaitu: 100 m, 250 m, 500 m. Berdasarkan perancangan desain, sistem ini akan membaca dan mengirimkan data menuju Thingspeak dengan baik serta memiliki QoS yang baik. Sehingga, sistem ini dapat digunakan oleh pembudidaya ikan untuk mengawasi kualitas air agar ikan berkembang secara optimal. Nilai PER (packet error rate) yang diperoleh sebesar 10 % dan keakuratan sensor pH sebesar 3,62%. Nilai PDR yang diperoleh pada kondisi LOS dengan jarak 100 m, 250 m, dan 500 m memiliki interval 82,5 % hingga 95 %. Sedangkan untuk nilai PDR pada kondisi NLOS dengan pengujian jarak 100 m, 250 m, dan 500 m memiliki interval dari 72.,5% hingga 90%. Sehingga dapat disimpulkan sistem dapat diimplementasikan dengan baik pada kolam untuk budidaya ikan sebagai monitoring kualitas air agar ikan tetap berkembang dengan baik.

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Fish farming is one of the main industries which in its cultivation requires various parameters to the environment. Physical, chemical, and biological parameters are highly treated so that the fish farming produces quality fish. Fish need a suitable habitat in order to live healthy and grow optimally. Fish have certain requirements so that in a fish farming business, water quality must always be monitored. For this reason, water quality management and supervision is carried out to ensure that water quality is maintained properly. The LoRa-based water quality monitoring system will help fish farmers because this system monitors fish continuously and in real-time. Parameters that are very important in water for fish farming are water turbidity and pH. The sensor on the end-device will detect water quality parameters, namely turbidity and pH. The data will be sent to the gateway and then forwarded to Thingspeak which will be displayed on the dashboard. The parameters of the test carried out in this research is the system performance in reading and sending data to Thingspeak. Then, Quality of Service (QoS) testing is also carried out by looking at the packet loss, PDR, RSSI, and SNR values. This test will be carried out under LOS (Line of Sight) with 100 m, 250 m, and 500 m distance and NLOS (Non-Line of Sight) conditions which have 4 variations of distance, namely: 100 m, 250 m, 500 m. Based on the design, this system will read and send data to Thingspeak properly and has good QoS. Thus, this system can be used by fish farmers to monitor water quality so that fish develop optimally. The PER (packet error rate) value obtained is 10% and the accuracy of the pH sensor is 3.62%. The PDR values obtained under LOS conditions with a distance of 100 m, 250 m, and 500 m have an interval of 82.5% to 95%. Meanwhile, the PDR value under NLOS conditions with distance testing of 100 m, 250 m, and 500 m has an interval of 72.5% to 90%. So it can be said that the system can be implemented properly in ponds for fish cultivation as a monitoring for water quality so that fish continue to develop properly.

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