Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/163580
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dc.contributor.advisorAziezah, Nur
dc.contributor.authorKauripan, Edmund Banyu
dc.date.accessioned2025-07-02T06:07:54Z
dc.date.available2025-07-02T06:07:54Z
dc.date.issued2025
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/163580
dc.description.abstractPenelitian ini mengkaji pengaruh suhu terhadap kekeruhan air limbah domestik menggunakan Sensor DS18B20 dan Sensor Turbidity berbasis IoT. Proses dimulai dengan analisis masalah untuk mengidentifikasi pentingnya hubungan antara suhu dan kekeruhan, dilanjutkan perancangan sistem menggunakan mikrokontroler ESP32 untuk membaca dan mengirim data secara real-time ke platform ThingSpeak. Setelah alat dibuat dan diuji, kedua sensor tersebut dikalibrasi dengan Turbidimeter di laboratorium. Selanjutnya, data dikumpulkan selama tiga hari pada dua waktu berbeda dengan lima kali perulangan. Lalu, data yang diperoleh kemudian diolah menggunakan regresi linear sederhana. Hasil analisis menunjukkan koefisien determinasi (R²) sebesar 0,935, yang berarti 93,5% variasi kekeruhan dapat dijelaskan oleh perubahan suhu. Hasil ini menunjukkan adanya hubungan signifikan antara suhu dan kekeruhan air limbah, yang diduga dipengaruhi oleh aktivitas biologis, pelarutan partikel, serta proses kimia dalam air.
dc.description.abstractThis study examines the effect of temperature on the turbidity of domestic wastewater using the DS18B20 temperature sensor and a turbidity sensor based on IoT technology. The process began with problem analysis to identify the importance of the relationship between temperature and turbidity, followed by system design using the ESP32 microcontroller to read and transmit data in real-time to the ThingSpeak platform. After the device was built and tested, both sensors were calibrated using a laboratory-grade turbidimeter. Data collection was carried out over three days at two different times with five repetitions each. The collected data was then processed using simple linear regression. The analysis results showed a coefficient of determination (R²) of 0.935, indicating that 93.5% of the turbidity variation can be explained by changes in temperature. These findings indicate a significant relationship between temperature and wastewater turbidity, which is suspected to be influenced by biological activity, particle dissolution, and chemical processes in the water.
dc.description.sponsorship
dc.language.isoid
dc.publisherIPB Universityid
dc.titlePenerapan Sensor Suhu DS18B20 dan Sensor Kekeruhan untuk Menganalisis Pengaruh Suhu terhadap Kekeruhan Air Limbah Domestikid
dc.title.alternativeApplication of DS18B20 Temperature Sensor and Turbidity Sensor for Analyzing the Effect of Temperature on Domestic Wastewater Turbidity
dc.typeTugas Akhir
dc.subject.keywordDomestic Wastewaterid
dc.subject.keywordDS18B20 Temperature Sensorid
dc.subject.keywordInternet of Things (IoT)id
dc.subject.keywordSimple Linear Regressionid
dc.subject.keywordTurbidity Sensorid
Appears in Collections:UT - Computer Engineering Tehcnology

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