Kesalahan Jawaban Siswa SMA berdasarkan Newman Ditinjau dari Tingkat Kecemasan Matematis

Penelitian ini bertujuan untuk mengetahui jenis kesalahan yang dilakukan siswa SMA berdasarkan NEA ditinjau dari tingkat kecemasan matematis siswa. Metode penelitian yang digunakan adalah kualitatif dengan jenis penelitian study kasus (case study). Subjek penelitian ini yaitu kelas XI MIPA 1 SMAN 1 Luragung sebanyak 5 siswa yang dipilih berdasarkan pertimbangan tertentu (purposive sampling). Teknik pengumpulan data yang digunakan yaitu angket kecemasan matematis, soal tes, dan wawancara. Hasil menunjukkan bahwa siswa dengan tidak ada kecemasan matematis melakukan kesalahan memahami (comprehension error), dan kesalahan menuliskan jawaban akhir (encoding). Siswa dengan kecemasan matematis ringan melakukan kesalahan memahami (comprehension), dan kesalahan menuliskan jawaban akhir (encoding). Siswa dengan kecemasan matematis sedang melakukan kesalahan membaca (reading error), kesalahan transformasi (transformation error), kesalahan ketrampilan proses (process skill error), dan kesalahan menuliskan jawaban akhir (encoding). Siswa dengan kecemasan matematis berat melakukan kesalahan memahami (comprehension), kesalahan proses (process skill error), dan kesalahan menuliskan jawaban akhir (encoding). Siswa dengan kecemasan matematis berat sekali melakukan kesalahan membaca (reading error), kesalahan memahami (comprehension), kesalahan transformasi (transformation error), kesalahan ketrampilan proses (process skill error), dan kesalahan menuliskan jawaban akhir (encoding).

Analisis Kesalahan Siswa Dalam Menyelesaikan Soal Cerita Pada Materi Sistem Persamaan Linear Tiga Variabel

The purpose of this study was to describe students' mistakes in solving story problems on the material of the three-variable linear equation system (SPLTV) based on the Newman procedure to minimize the occurrence of the same errors in the future. The approach used is a qualitative approach with descriptive methods. The subjects in this study were 25 students of class X SMAN 14 Bekasi. The test instruments used was 2 items in the description. In this study using errors according to Newman to analyze student errors. From the results of the analysis, it was found that the average error rate of students in answering SPLTV story questions was 34.4% and the remaining 65.6% of students could answer correctly and correctly. Of the two questions given, question number 1 had more percentage of students who made mistakes. There are various kinds of mistakes made by students, based on the error analysis according to Newman, there was a reading error of 0% because none of the students read the questions wrongly, the error in understanding was 30.23% because the students did not write known and asked, the transformation error was equal to 20.93% because the students were not able to transform the questions given into a mathematical form so they could not make mathematical models, 24.42% error in processing skills was due to the lack of students' accuracy in calculating which resulted in errors, and errors in writing the final answer of 24, 42% because the students were incomplete in making conclusions.

Analisis Kesalahan Siswa Dalam Menyelesaikan Soal Barisan dan Deret Aritmatika Menggunakan Tahapan Kesalahan Newman

Tujuan penelitian ini adalah untuk menganalisis kesalahan siswa dalam menyelesaikan soal barisan dan deret aritmatika. Penelitian ini perlu dilakukan agar bisa membantu menemukan kesalahan apa saja yang dilakukan siswa sehingga akan lebih mudah menemukan solusi untuk meminimalisir terjadinya kesalahan tersebut dalam pembelajaran. Subjek penelitian ini adalah 23 orang siswa kelas XI di SMAN 1 Hulu Kuantan. Analisis dilakukan dengan memberikan tes tertulis berbentuk soal uraian yang berjumlah 5 soal. Penelitian dilakukan pada semester ganjil tahun ajaran 2020/2021. Dalam penelitian ini menggunakan tahapan analisis kesalahan menurut Newman. Analisis data mengacu pada model Miles dan Huberman yang terdiri dari reduksi data, penyajian data, dan penarikan kesimpulan. Berdasarkan analisis data diperoleh persentase kesalahan reading error 13%, comprehension error 22%, transformation error 35%, process skill error 44%, dan encoding error 9%.

Analisis Kesalahan Dalam Menyelesaikan Masalah Himpunan Siswa SMP Kelas VII Ditinjau Dari Gender

Penelitian ini bertujuan untuk mendeskripsikan kesalahan siswa perempuan dan laki-laki dalam menyelesaikan masalah himpunan. Manfaat dari penelitian ini yaitu memberikan informasi tentang kesalahan dalam menyelesaikan masalah matematika, khususnya masalah himpunan. Jenis penelitian ini yaitu deskriptif kualitatif. Penelitian ini dilakukan di SMPN 1 Moyo Utara. Subjek penelitian ini adalah siswa kelas VII yang berjumlah 10. Teknik pengumpulan data yang digunakan adalah tes dan wawancara. Uji keabsahan data dilakukan menggunakan triangulasi metode yaitu dengan membandingkan data hasil tes dengan hasil wawancara dengan subjek. Analisi data dalam penelitian ini dilakukan dengan reduksi data, penyajian data, veririfikasi data dan penarikan kesimpulan. Dasar analisis data dalam penelitian ini menggunakan indikator kesalahan menurut Newman. Dari data penelitian diperoleh 5 kesalahan baik dari siswa laki-laki maupun perempuan, dengan persentase siswa laki-laki yaitu: kesalahan Reading error 70%, Comprehension error 80%, Transformation error 80%, Process skill error80%, Encoding error 80% . Sedangkan persentase dari siswa perempuan yaitu: kesalahan Reading error 5%,Comprehension error 95%, Transformation error 95%, Process skill error 95%, Encoding error 95%. Hasil penelitian menunjukkan bahwa tidak ada perbedaan yang begitu mencolok antara kesalahan siswa laki-laki dan perempuan dalam menyelesaikan masalah himpunan kelas VII di SMPN 1 Moyo Utara.

OPTIMASI PEMBACAAN SUHU KAMERA TERMAL MENGGUNAKAN REGRESI LINIER

Fever is one of the symptoms of a person with Covid-19. Body temperature must be checked e before entering crowded areas such as schools, offices, shops, and hospitals. It is a mandatory protocol that must be done. One of the tools that can be used to check body temperature is a thermal camera. Thermal cameras have the disadvantage of a high temperature reading error. This is because the thermal camera used has a low resolution. This study aims to reduce the value of the temperature reading error on the thermal camera using the linear regression method. The linear regression method is able to reduce the error rate of temperature readings by 5.27% at 36 ° C reading. The reduction in reading error also occurred by 5.27% at 37 ° C and 6.44% at 38 ° C. Based on the results obtained, this study shows that linear regression can be applied to thermal cameras and provides a decrease in the error rate of temperature readings on thermal cameras

Design of Microcontroller Based Fire Detector with Output Warning SMS Information and Automatic Extinguisher

Conflagration is an unpredictable tragedy. It may occur whether in the woodland areas or in the residential areas. Typically, it would only be recognized if indeed the flames spread and the smoke intensified. This study aims to detect fires using the MQ-2 smoke sensor, DS18b20 temperature sensor, and fire sensor. Using Arduino Uno as the controller, this system’s output is in the form of an alarm buzzer, Short Message Service (SMS) information using SIM800L, and an automatic fire pump. This system operates to detect the temperature shifts, the smoke concentration and the existence of a fire point which triggers an alarm in the form of a siren if two out of the three sensors are activated. It, then, sends information by Short Message Service (SMS) and automatically triggers the pump as the result. The fire sensor can detect hotspots with a maximum distance of 80 cm and the DS18b20 temperature sensor has an average reading error of 0.27 ° C with a maximum reading error of 0.5 ° C. The MQ-2 smoke sensor can detect smoke where the change in smoke concentration is directly proportional to the sensor output voltage. There are three conditions to determine fire conditions, namely the temperature sensor reads more than equal to 55 ° C and the fire sensor is active, or the temperature sensor reads more than equal to 55 ° C and the smoke sensor reads more than equal to 1000 ppm, or the fire sensor is active and smoke sensor reads greater than equal to 1000 ppm.

Salinity Sensing Characteristics Based on Optical Microfiber Coupler Interferometer

In this paper, we report a novel and compact sensor based on an optic microfiber coupler interferometer (OMCI) for seawater salinity application. The OMCI device is fabricated by connecting Faraday rotating mirrors to the two out-ports of the microfiber coupler, respectively. The sensor signal processing is based on a wavelength demodulation technique. We theoretically analyze the sensing characteristics with different device structure parameters. Besides, the results show that the date reading error decreases with the thinner waist region and longer arm difference. Through the experiment, the reflection spectra red-shifted as the sea water salinity increased; the highest response sensitivity of the OMCI salinity sensor reached 303.7 pm/‰ for a range of 16.6–23.8‰, and the resolution was less than 0.03‰. This study provides a new technical solution for the development of practical optical fiber seawater salinity sensors.

Investigation of reading error types, reading levels and reading speeds of students with special learning difficulties

The main aim of this study is to investigate reading error types, reading levels and reading speeds of students with special learning difficulties (SLD). A case study model was used in the research. The research was carried out with 34 students enrolled in Grades 3–8, who were diagnosed with SLD in Konya in the 2019–2020 academic year. In the data analysis, while ‘error analysis’ was used for reading error types, the formula Number of Words Correctly Read ÷ Total Word Number of Text × 100 was utilised to determine reading levels. As for the identification of reading rates, the number of words read correctly in one minute was determined. According to the results of the research, the error types displayed by the students with SLD in the texts that are suitable for the classes that they attend and in the texts that belong to lower grade levels than their actual grade levels were found to be misreading, hesitating while reading, repeating, omitting a sound/syllable/word or skipping a line, substituting a sound/syllable or a word, pausing while reading, correction and reversing sounds. Keywords: Special learning difficulties, reading difficulty, reading error types, reading levels, case study.

The Design of Data Collector to Calculate the Efficiency of DC to AC Inverter Based on ATmega328 and Micro SD as Storage Media

The data collector to calculate the efficiency of the pure sine inverter DC to AC based on the level of efficiency, voltage and current stored automatically in Micro SD has been successfully designed. This data collector is built from the Arduino Nano (ATmega328) module as the controller and uses a Micro SD Card as a storage medium. The equipment storage results are displayed in real time using the RTC and LCD as a display medium for the measurement results of the voltage sensor and current sensor. The data logger is designed to be useful for storing data from the measurement results of the DC to AC inverter which consists of voltage, current and data collection time. The data every 16 seconds will be stored automatically on the Micro SD. The results of the reading error of the voltage sensor and current sensor are 1.088% and 1.72%, respectively. The results of the error reading the voltage sensor and current sensor are still precise, so the efficiency obtained in this study is 78.37%.