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All Journal Indonesian Journal of Artificial Intelligence and Data Mining Journal of Dedicators Community AXIOM : Jurnal Pendidikan dan Matematika Jurnal Saintika Unpam : Jurnal Sains dan Matematika Unpam Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika International Journal of Business, Law, and Education Jurnal Teknologi dan Manajemen Industri Terapan International Education Trend Issues GEMBIRA (Pengabdian Kepada Masyarakat)
Besse Arnawisuda Ningsi
Universitas Pamulang
Religion Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Neuroscience Physics Public Health Social Sciences Other

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PENDUGAAN DATA HILANG PADA KASUS RANCANGAN ACAK KELOMPOK LENGKAP (RAKL) DENGAN METODE YATES Ida Kamila; Hendro Waryanto; Irvana Arofah; Besse Arnawisuda Ningsi
AXIOM : Jurnal Pendidikan dan Matematika Vol 10, No 2 (2021)
Publisher : State Islamic University of North Sumatra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30821/axiom.v10i2.8734

Abstract

Abstrak:Suhu udara sangat mempengaruhi aktivitas manusia, oleh karena itu sangat penting bagi manusia untuk mengetahui besaran suhu di daerah tertentu agar dapat mempersiapkan diri dalam beraktivitas. Untuk mengetahui besaran suhu di suatu daerah dilakukan pengukuran suhu udara. Namun dalam pengukuran suhu tidak selamanya berjalan sesuai yang direncanakan. Beberapa masalah terkadang sering terjadi seperti hasil pengukuran yang tidak teramati, fasilitas yang kurang memadai, ataupun beberapa faktor lainnya. Hal tersebut menimbulkan suatu masalah yang dikenal sebagai data hilang. Menurut data yang diperoleh dari BBMKG wilayah II terdapat dua wilayah, yaitu Stasiun Klimatologi Masgar dan Stasiun Maritim Lampung, yang masing-masing terdapat satu data hilang. Data hilang tersebut harus diduga dan diganti sebelum melakukan analisis lebih lanjut agar data yang diperoleh menjadi akurat dan valid. Metode pendugaan data hilang dalam penelitian ini menggunakan metode Yates yaitu dengan cara meminimumkan jumlah kuadrat galat. Pada Stasiun Klimatologi Masgar terdapat data hilang di bulan September 2015, sedangkan di Stasiun Maritim Lampung terdapat data hilang di bulan November 2016. Dengan metode Yates didapatkan hasil dugaan data hilang di Stasiun Klimatologi Masgar pada bulan September 2015 yaitu 27,1˚C, sedangkan di Stasiun Maritim Lampung pada bulan November 2016 yaitu 29,7˚C. Kata Kunci:Suhu Udara, Data Hilang, Metode Yates Abstract:Air temperature greatly affects human activities, so humans must know the temperature in certain areas to prepare themselves before doing activities outside. To measure the temperature of an area, air temperature measurement is carried out. However, temperature measurement does not always go as planned. Several problems sometimes occur, such as unobserved measurement results, inadequate facilities, and other factors. This creates an issue called missing data. Based on the data obtained from Meteorology, Climatology, and Geophysical Agency (Indonesian: Badan Meteorologi, Klimatologi, dan Geofisika, abbreviated as BMKG) region II, two areas have experienced a case of missing data (Masgar Climatology Station and Lampung Maritime Station). The missing data must be replaced before conducting further analysis so that the data obtained is accurate and valid. The method of estimating missing data in this study follows the Yates method that minimizes the number of squares errors. The estimation of missing data at the Masgar Climatology Station indicates that there was a case of missing data in September 2015. Meanwhile, there was a case of missing data in November 2016 at the Lampung Maritime Station. The findings indicate that the estimated missing data obtained at Masgar Climatology Station in September 2015 was 27,1˚C while the estimated missing data obtained at Stasiun Maritim Lampung in November 2016 was 29,7˚C. Keywords:Air Temperature, Missing Data, Yates Method
Analysis of Preferences in Choosing Upper Secondary Schools Among Private MTs Students Using a Multinomial Logistic Regression Model Besse Arnawisuda Ningsi; Sarah Febriyani; Irvana Arofah
International Education Trend Issue Vol. 4 No. 1 (2026): International Education Trend Issue (January–June)
Publisher : PT. BATARI EDU CALYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ieti.v4i1.1515

Abstract

For MTs students, the selection of higher secondary school (SMA, SMK and MA) is a considerable decision that can be affected by a combination of several academic and non-academic aspect. The purpose of this study is to find out the determinants of higher educational choices in Private MTs students. The analysis method used is multinomial logistic regression to determine the factors that influence the choice of Private MTs students in Pinang District, Tangerang City with a sample of 226 students. Based on the results of the analysis, there is one variable that influences the selection of a top-level advanced school for Private MTs students in Pinang District, Tangerang City, which is tuition fees (P-value < 0.05). Tuition fees affect students' choice between high school and vocational school, and other variables do not show statistically significant effects.
The Mediating Role of Learning Motivation: A Structural Equation Model of Student Learning Outcomes Andi Sessu; Besse Arnawisuda Ningsi; Irvana Arofah
International Journal of Business, Law, and Education Vol. 7 No. 2 (2026): International Journal of Business, Law, and Education (on progres)
Publisher : IJBLE Scientific Publications Community Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ijble.v7i2.1551

Abstract

Student learning outcomes are shaped by both individual motivational processes and the academic environment. This study examined the direct and indirect associations among learning interest, campus environment, learning motivation, and student learning outcomes. Data were obtained from 172 students in the Faculty of Economics and Business at Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta, and analyzed using partial least squares structural equation modeling. The structural results showed that learning interest was not directly associated with learning outcomes (β = −.177, p = .062), but it was positively associated with learning motivation (β = .511, p < .001). Campus environment was positively associated with both learning outcomes (β = .325, p = .001) and learning motivation (β = .444, p < .001), while learning motivation was positively associated with learning outcomes (β = .265, p = .029). Learning motivation significantly mediated the relationships between learning interest and learning outcomes (β = .135, p = .035) and between campus environment and learning outcomes (β = .118, p = .048). The model explained 67.4% of the variance in learning motivation but only 20.3% of the variance in learning outcomes. These findings indicate that interest is more likely to translate into academic outcomes when it is accompanied by sustained motivation, whereas a supportive campus environment contributes through both direct and motivational pathways. The findings should nevertheless be interpreted cautiously because the reported cross-loading matrix contains a discriminant-validity anomaly that requires verification against the original PLS output.
The Influence Of Mathematical Anxiety And Logical-Mathematic Intelligence On Students' Learning Outcomes Through Critical Thinking Ability Irvana Arofah; Besse Arnawisuda Ningsi; Andi Sessu
International Education Trend Issue Vol. 2 No. 2 (2024): International Education Trend Issue July–December
Publisher : PT. BATARI EDU CALYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ieti.v2i2.806

Abstract

The research aims to determine the direct and indirect influence of mathematical anxiety, logical-mathematical intelligence, and critical thinking abilities on the learning outcomes acquired by students. Many things affect the teaching and learning process, both from outside the student's environment and from within the student himself. The unpreparedness of external and internal factors will create obstacles in the learning process of the student, which will then affect their learning outcomes. These include mathematical anxiety, mathematical logical intelligence, and critical thinking abilities. Students who experience mathematical anxiety tend to avoid conditions where they feel threatened and stressed. Of course, these people will think or assume negative thoughts about themselves. Mathematical logical intelligence plays a significant role for students in understanding abstract mathematics lessons. The challenge in the world of education is that it requires students to think at higher levels (HOTs). Critical thinking is a logical and natural thinking process that already exists in a person when facing changes in all sectors of life. The method used in this research is structural equation modeling (SEM), which will look at direct and indirect effects. The research results show that 1) mathematics anxiety has a significant positive influence on critical thinking abilities; 2) logical-mathematical intelligence has a significant positive influence on critical thinking abilities; 3) critical thinking skills have a significant positive influence on student learning outcomes; 4) mathematics anxiety has a significant positive influence on student learning outcomes; 5) logical-mathematical intelligence has a significant positive influence on student learning outcomes; 6) mathematics anxiety has a significant positive influence on student learning outcomes through critical thinking skills; and 7) logical-mathematical intelligence has an insignificant positive influence on student learning outcomes through critical thinking skills.
Co-Authors Aden, Aden Andi Sessu Andi Sessu Ani Putriyani Annisa Shafira Arofah, Irvana Fince Rauna Rehi Bota Gita Indah Cahyani Hendro Waryanto Ida Kamila Lalu Masyhudi Matius Tadi Munarsih Munarsih Neneng Herawati Sarah Febriyani Siti Nuur Rokhmah