Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/171224
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dc.contributor.advisorWahjuni, Sri-
dc.contributor.authorBACHTIAR, MUHAMMAD KARIM-
dc.date.accessioned2025-10-03T06:36:06Z-
dc.date.available2025-10-03T06:36:06Z-
dc.date.issued2025-
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/171224-
dc.description.abstractPenelitian ini berfokus pada pengembangan alat pembaca arah angin dan pengukuran konsentrasi PM2.5. Alat pada penelitian ini menggunakan sensor GP2Y1010AU0F untuk membaca konsentrasi PM2.5 dan AS5600 untuk membaca derajat arah angin. Data yang dikumpulkan oleh alat diunggah menuju ThingSpeak untuk disimpan. Hasil pengumpulan data diproses terlebih dahulu sebelum dianalisis dengan dua tahap penyaringan. Analisis data dilakukan menggunakan tiga metode yaitu analysis of variance, TukeyHSD, dan korelasi Pearson. Analisis menggunakan ketiga metode ini dilakukan untuk mengetahui hubungan dan korelasi antar variabel konsentrasi PM2.5 dan derajat arah angin. Hasil analisis menggunakan analysis of variance dan TukeyHSD memberikan nilai p yang signifikan. Hasil analisis menggunakan korelasi Pearson memberikan nilai rendah yang menunjukkan lemahnya korelasi antara variabel.-
dc.description.abstractThis research focuses on the development of a wind direction reader and PM2.5 concentration measurement. The device in this study uses the GP2Y1010AU0F sensor to read PM2.5 concentration and AS5600 to read the degree of wind direction. The data collected by the device is uploaded to ThingSpeak for storage. The results of data collection are processed first before being analyzed with two stages of filtering. Data analysis was conducted using three methods, namely analysis of variance, TukeyHSD, and Pearson correlation. Analysis using these three methods was carried out to determine the relationship and correlation between PM2.5 concentration and degree of wind direction. The results of the analysis using analysis of variance and TukeyHSD gave a significant p value. The result of the analysis using Pearson correlation gave a low correlation value indicating a weak correlation between the variables.-
dc.description.sponsorshipnull-
dc.language.isoid-
dc.publisherIPB Universityid
dc.titleAnalisis Korelasi Arah Angin dan Konsentrasi PM2.5 Menggunakan Sensor AS5600 dan GP2Y1010AU0F Berbasis ESP32id
dc.title.alternativeCorrelation Analysis of Wind Direction and PM2.5 Concentration Using ESP32-Based AS5600 and GP2Y1010AU0F Sensors-
dc.typeTugas Akhir-
dc.subject.keywordAnalysis of varianceid
dc.subject.keywordAS5600id
dc.subject.keywordcorrelationid
dc.subject.keywordESP32id
dc.subject.keywordTukeyHSDid
Appears in Collections:UT - Computer Engineering Tehcnology

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