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Setyowibowo , Sigit
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Computer Science & IT Decision Sciences, Operations Research & Management

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APLIKASI PERAMALAN JUMLAH SISWA BARU DENGAN METODE SINGLE MOVING AVERAGE DI MTS MIFTAHUL ULUM PUNTIR Anwar , Muhammad Zainul; Setyowibowo , Sigit
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer DINAMIKA DOTCOM Vol. 14 No. 2 Tahun 2023
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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Abstract

The growing importance of education in the modern era is certainly the more prospective students who want to be accepted in the best educational institutions. Therefore, the number of prospective students must be balanced by the number of students that can be accepted by an educational institution. most of the educational institutions have difficulty in predicting the number of prospective students who apply to be difficult also in determining the student received. Making the application of forecasting the number of new students would facilitate the performance of existing human resources. From these observations the researchers make one application model forecasting the number of new students. Forecasting method used is the single moving average method in which the method is based on a projection of the data series are smoothed with a moving average, the value of the data series used are 5 serial data.
ANALISIS PERBANDINGAN AKURASI PENGUKURAN SUHU TUBUH MENGGUNAKAN SENSOR LM35 DAN MLX90614 Arofah, Dewi; Anwar, Khoerul; Setyowibowo , Sigit
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer DINAMIKA DOTCOM Vol.16 No.1 Tahun 2025
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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The COVID-19 pandemic has increased the need for accurate body temperature measurement in public facilities. This study aimed to compare the accuracy of two types of temperature sensors, the LM35 and the MLX90614, for measuring human body temperature. Tests were conducted 36 times on adults, with a manufactured thermogun as the primary comparator. The results showed a significant difference in accuracy: LM35 sensor: Has an average error of 15.62% with an accuracy of 84.38%. This sensor operates based on linear voltage changes through direct contact with an object.MLX90614 sensor: Has an average error of only 1.17% with a high accuracy of 98.83%. The advantage of the MLX90614 lies in its ability to capture infrared light without physical contact, supported by a low-noise amplifier, 17-bit ADC, and the MLX90302 DSP unit, which the LM35 lacks. The conclusion is that the MLX90614 is far more effective and accurate for monitoring human body temperature.
Co-Authors Anwar , Muhammad Zainul Dewi Arofah Khoerul Anwar