Piles of waste increase in line with population growth and consumption patterns. The concept of bioconversion using black soldier fly larvae can solve the problem of organic waste management. From these problems, an application of Internet of Things technology is needed. The system implemented aims to allow the system to find out how much accuracy, precision, and recall are in making decisions on media quality values using the Naive Bayes method. The main feature of this Naive Bayes Classifier is the very strong assumption of the independence of each condition or event. From the research results, the system has been successfully built according to the research design, as well as the goals that have been fulfilled in completing the development of the smart maggot. Several sensors used in this study were tested so that sensor performance could be determined by finding the average error value. Three parameters are measured; namely, the temperature obtained an average error of 1.6%, air humidity obtained an average error of 2.03%, and soil moisture obtained an average error of 2.7%. By measuring using Python, the Confusion Matrix is obtained so that the test results from the calculation of the Naive Bayes method can find the data in the form of accuracy, precision, and recall. Accuracy percentage results obtained 92%, precision percentage average results obtained 93%, and recall percentage average results obtained 92%. The conclusion shows the results of the system's accuracy obtained have worked well.
Kompleksitas proyek sering dianggap sebagai faktor yang tertanam dalam dua aspek proyek utama termasuk proyek kesulitan (seberapa sulit proyek untuk mencapai tujuan proyek) dan risiko proyek (ketidakpastian). Kompleksitas proyek dapat memicu efek positif maupun negatif, hal ini disebabkan oleh efek tidak tentu dari fenomena yang tidak bisa diprediksi, manajer proyek harus memiliki keputusan yang bijak dalam mengurangi efek tidak tentu. Oleh karena itu, penelitian ini memiliki tujuan untuk menghitung nilai kompleksitas proyek dengan menggunakan metode Goal Question Metric (GQM) untuk mengidentifikasi metrik dan metode Analytical Hierarchy Process (AHP) untuk menghitung nilai metrik dari kompleksitas proyek. Goal Question Metric bertugas dengan melalui tiga proses yaitu proses definisi, proses pengumpulan data, dan proses interpretasi. Setelah melakukan pengujian dengan mengkaji penelitian lain maka diperoleh hasil pengukuran menggunakan formula kompleksitas. Kemudian hasil tersebut divalidasi dengan Weyuker’s Properties, dari hasil validasi tersebut diperoleh 8 dari 9 properti terpenuhi.
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