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All Journal Jukung (Jurnal Teknik Lingkungan) Cartesian: Jurnal Pendidikan Matematika Sciencestatistics: Journal of Statistics, Probability, and Its Application
Intan Utami
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Agriculture, Biological Sciences & Forestry Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Environmental Science Mathematics Social Sciences Other

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PENGEMBANGAN SISTEM PENGUKURAN EMISI UDARA JENIS FINE PARTICLE SKALA PORTABLE UNTUK LABORATORIUM Arif Budianto; Susi Rahayu; Ramadian Ridho Illahi; Lalu Sahrul Hudha; Intan Utami
Jukung (Jurnal Teknik Lingkungan) Vol 9, No 2 (2023)
Publisher : Program Studi Teknik Lingkungan Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jukung.v9i2.17574

Abstract

Emisi udara jenis fine particle tergolong partikel submikron yang berukuran sangat kecil dan sangat mudah untuk terhirup. Sistem pengukuran ataupun mitigasi emisi ini tergolong relatif mahal dan kurang portable. Oleh sebab itu, penelitian ini bertujuan untuk mengembangkan sebuah sistem portable yang relatif murah untuk pengukuran emisi udara jenis fine particle dalam ruang laboratorium. Sistem dirancang dengan sebuah sensor partikulat yang relatif murah namun memiliki performa yang baik. Sensor tersebut dihubungkan dengan sebuah mikrokontroler yang berfungsi memproses sinyal sensor. Sistem diuji di dalam area soldering laboratorium selama satu jam. Hasil penelitian menunjukkan bahwa ruang laboratorium, pada area soldering, memiliki konsentrasi fine particle antara 23 sampai dengan 463 µg/m3. Sistem ini memiliki performa yang baik, ditunjukkan dengan linearitas 99% dan akurasi lebih dari 90%. Hasil penelitian menyimpulkan bahwa sistem dapat mendeteksi sekaligus mengukur besar konsentrasi emisi udara jenis fine particle skala ruangan dengan rentang 0 – 999 µg/m3. Kata kunci: emisi, partikulat, polusi udara, sistem pengukuran
Analisis Kesalahan Siswa Berdasarkan Kriteria Watson dalam Menyelesaikan Soal Literasi Matematika Persamaan Linear Dua Variabel Intan Utami; Abdul Basir, Mochamad; Risqi Maharani, Hevy
Cartesian: Jurnal Pendidikan Matematika Vol. 4 No. 02 (2025): Cartesian Vol. 4 No. 2 April 2025
Publisher : Program Studi Pendidikan Matematika FIP UNHASY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/cartesian.v4i02.6328

Abstract

Errors are a reflection of how students reason and illustration of the process of students’ building their own knowledge. The purpose of this study is to describe the types of errors in solving mathematics literacy problems on topic the system of linear equations of two variables based on Watson's criteria and the factors that cause students to make mistakes. The research subjects consisted of 6 students with high, middle, and low mathematical ability. This research used qualitative approach with data collection techniques were carried out by written tests and interviews. In general, the error made by students is indirect manipulation, namely by moving the coefficient value of a certain variable to another part to obtain the value of the variable being sought. Upper category students made indirect manipulation errors and response level conflicts. Medium category students made missing data errors, indirect manipulation and skill hierarchy problems. Lower group students made errors of improper procedure, missing data, indirect manipulation, skill hierarchy problem, missing conclusion and other than the seven categories. Factors causing errors made by students include, experiencing object-process error misconceptions, deliberate and hasty factors, lack of focus and thoroughness and lack of understanding of number operations, not thinking of writing steps and not knowing the next step to solve it, forgetting and not solving the problem so that he does not write conclusions, difficulty in understanding the problem.
Application of the Double Exponential Smoothing Brown Method in Forecasting the Number of Poor Population Intan Utami; Ana Istiqomah; Sangidatus Sholiha
Sciencestatistics: Journal of Statistics, Probability, and Its Application Vol. 4 No. 1 (2026): JANUARY
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/sciencestatistics.v4i1.11069

Abstract

Poverty is a socio-economic issue that requires policy planning based on accurate forecasting. This study uses the Brown Double Exponential Smoothing method to forecast the number of poor people in Metro City for the period 2026-2030, using data from 2005-2025 obtained from BPS. The analysis was conducted using a trial and error method for the alpha (α) parameter ranging from 0.1 to 0.9 based on the smallest MAD, MSE, and MAPE values. The study results indicate that the optimal alpha parameter is α = 0.5 with a MAPE of 15.91231%, which indicates good accuracy. The forecast shows an increasing trend from 321.90 thousand people (2026) to 338.87 thousand people (2030), with an average increase of 4.24 thousand people per year. The results of this study can be used as a basis for planning poverty alleviation programs in Metro City.
Co-Authors Ana Istiqomah Arif Budianto Basir, Mochamad Abdul Lalu Sahrul Hudha Maharani, Hevy Risqi Ramadian Ridho Illahi Sholiha, Sangidatus Susi Rahayu