Article Per Year (5 Year)
p-Index From 2021 - 2026
4.197
P-Index
This Author published in this journals
All Journal Ekspektra: Jurnal Bisnis & Manajemen Journal of Dedicators Community AXIOM : Jurnal Pendidikan dan Matematika Jurnal Cendekia : Jurnal Pendidikan Matematika Mathvision : Jurnal Matematika Jurnal Saintika Unpam : Jurnal Sains dan Matematika Unpam Jurnal Abdidas Jurnal Statistika dan Matematika (Statmat) jurnal syntax admiration Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Statistika dan Aplikasinya International Journal of Business, Law, and Education PERDULI: Jurnal Pengabdian kepada Masyarakat International Education Trend Issues GEMBIRA (Pengabdian Kepada Masyarakat) JMT (Jurnal Matematika dan Terapan) Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa
Arofah, Irvana
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Neuroscience Physics Public Health Social Sciences Other

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 31 Documents
Search

 1   2   3   4 
ANALISIS PENGENDALIAN KUALITAS DAGING DENGAN MENGGUNAKAN SEVEN TOOLS DI THE FOODHALL PLAZA INDONESIA Trisno, Nico; Arnawisuda Ningsi, Besse; Arofah, Irvana
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 3 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i3.785

Abstract

This study aims to determine quality control, the most dominant types of defects, the causes of defects, and determine strategies to improve the quality of meat products at The Foodhall Plaza Indonesia. The data used is secondary data in the form of an existing database of goods received from May to June 2023 sourced from the Foodhall Plaza Indonesia SAP application, which will be analyzed using statistical aids in the form of control charts and seven tools, namely checking sheets, histograms, proportion control maps, process capability, Pareto diagrams, and fishbone diagrams. From the results of the analysis, it was found that the capability value of each product damage was negative, indicating that the process was not capable and outside the specification limits. Meat quality control at The Foodhall Plaza Indonesia is within control limits, where based on the Pareto diagram it is obtained that the dominant type of defect in product defects due to damaged packaging is 49.3%, black meat defects are 27.6%, and meat releases water by 23.1%, with the factors that cause defects coming from human resources, machinery, and work environment to work methods. Then, recommendations for quality improvement strategies are made, such as forming a quality control team; leaders always provide direction; enforce a reward and punishment system; and provide regular job training to improve skills and minimize errors
Computer Ability Anxiety, Self-Efficacy Beliefs in Statistical Studies, Student Attitudes towards Course Statistics: An Empirical Study of Undergraduate Students in the Mathematics Study Program Sessu, Andi; Arofah, Irvana; Ningsi, Besse Arnawisuda
International Journal of Business, Law, and Education Vol. 6 No. 1 (2025): International Journal of Business, Law, and Education
Publisher : IJBLE Scientific Publications Community Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ijble.v6i1.1013

Abstract

In the 21st century, the learning process continues to develop and undergo a paradigm shift. One of the characteristics of the 21st century is the presence of aspects of information, computing, automation, and communication that influence the learning paradigm. In learning statistics, it is not only cognitive skills that support student learning success but also non-cognitive skills. This study aims to determine the effect of student computer ability anxiety and self-efficacy beliefs on student attitudes toward statistical courses. The sample of this study was 203 students of the Mathematics Study Program of Pamulang University who were selected using a simple random sampling technique. Data collection techniques in this study used instruments with a Likert scale. The effect on the research variables was analyzed using structural equation modeling to determine the effect. From the results of the analysis, it is obtained that there is a direct influence of computer ability anxiety on self-efficacy beliefs in learning statistics, there is a direct influence of computer ability anxiety on attitudes towards statistics courses, there is a direct influence of self-efficacy beliefs in learning statistics on attitudes towards statistics courses, and there is an influence of computer ability anxiety in learning statistics on attitudes towards statistics courses through self-efficacy beliefs.
The Influence Of Learning Media And Learning Models On Learning Outcomes Through Mathematics Literacy Ability Arofah, Irvana; Ningsi , Besse Arnawisuda; Sessu, Andi
International Journal of Business, Law, and Education Vol. 4 No. 2 (2023): International Journal of Business, Law, and Education
Publisher : IJBLE Scientific Publications Community Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ijble.v4i2.340

Abstract

Learning outcomes are a measure of the success of the learning process. There are many factors involved in measuring learning outcomes. Learning media, learning models, and students' mathematical literacy abilities are important factors or variables in the learning process to achieve the best learning outcomes. This study aims to look at the direct and indirect effects of these three variables on learning outcomes with mathematical literacy skills as a mediating variable. This research was conducted on 122 students of the Mathematics Study Program at Pamulang University. The research method used is Structural Equation Modeling with the Smart-PLS 3.0 analysis tool. The results of the convergent validity test showed that the loading factor value was > 0.7 and the AVE value > 0.5 indicated that all indicators were valid. The reliability test shows a composite reliability value and Cronbach's alpha > 0.7 is said to be reliable. Learning media has a positive effect that is not significant on mathematical literacy skills. The learning model has a significant positive effect on mathematical literacy skills. Mathematical literacy ability has a significant positive effect on learning outcomes. Learning media has a significant positive effect on learning outcomes. Learning models have a positive but not significant effect on learning outcomes. Learning media has a positive influence that is not significant on learning outcomes through mathematical literacy skills.
Hubungan Kemandirian Belajar dan Hasil Belajar Matematika Ditinjau dari Meta Analisis Arofah, Irvana; Ningsi, Besse Arnawisuda
Jurnal Cendekia : Jurnal Pendidikan Matematika Vol 7 No 1: Jurnal Cendekia: Jurnal Pendidikan Matematika Volume 7 Nomor 1 Tahun 2023
Publisher : Mathematics Education Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cendekia.v7i1.1898

Abstract

Penelitian ini menggunakan metode meta analisis dengan tujuan untuk mengetahui hubungan antara hasil belajar matematika dari kemandirian belajar peserta didik. Meta analisis dilakukan dengan malakukan review terhadap artikel penelitian yang terpublikasi dalam jurnal pada rentang tahun publikasi dimulai dari tahun 2017 sampai dengan tahun 2021. Kemandirian belajar peserta didik adalah bagian krusial berdasarkan proses pembelajaran buat bisa mencapai output belajar yg baik. Hasil belajar yang dicapai manusia akan memperoleh hasil belajar yang akan terus mengalami perubahan dan perkembangan. Hasil penelitian meta analisis ini menunjukkan bahwa hubungan antara kemandirian belajar dan hasil belajar matematika termasuk ke dalam kategori yang tinggi. Sedangkan dalam setiap jenjang pendidikan peserta didik, kemandirian peserta didik dengan jenjang pendidikan sekolah dasar (SD) termasuk ke dalam kategori sedang dalam hubungannya dengan hasil belajar matematika, dan kemandirian peserta didik dengan jenjang pendidikan SMP, SMA/SMK, dan PT termasuk ke dalam kategori tinggi dalam hubungannya dengan hasil belajar matematika.
EVALUATION OF ONLINE LEARNING THROUGH LMS E-LEARNING MATHEMATICS STUDY PROGRAM PAMULANG UNIVERSITY Arofah, Irvana
International Journal of Business, Law, and Education Vol. 4 No. 1 (2023): International Journal of Business, Law, and Education
Publisher : IJBLE Scientific Publications Community Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ijble.v4i1.135

Abstract

This study aims to evaluate the implementation of online learning through E-Learning during the COVID-19 pandemic at the Mathematics Study Program at Pamulang University to find out the various shortcomings and problems faced by using the CIPP model approach with a focus on learning planning, learning facilities, learning processes, and learning output in online learning through LMS E-Learning. Primary data is obtained from students of the Mathematics Study Program at Pamulang University through questionnaires distributed online. The results of the evaluation research show that of the four learning components, the input component (learning facilities) is the one that has the lowest average of the others.
Analisis Strategi Optimal Persaingan Platform E-Commerce dengan Menggunakan Game Theory Ramdani Ramdani; Irvana Arofah
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 6 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v3i6.841

Abstract

The development of information technology in the era of globalization continues to accelerate. This has brought significant changes in various fields, one of which is online business, namely e-commerce. This study aims to analyze competition and provide optimal strategies for Shopee and Tokopedia in addressing their dependence on subsidies and large-scale discounts, so that both platforms can remain competitive effectively without experiencing a decline in profit margins. The research method used is a quantitative approach with a survey research method. The data used is primary data analyzed using Game Theory with Pure Strategy, Mixed Strategy, and Linear Programming. The results show that Shopee obtained optimal strategies for Price (proportion 0.3568) and Product Completeness (proportion 0.6427). Meanwhile, Tokopedia obtained optimal strategies for Promotion (proportion 0.3568) and Product Completeness (proportion 0.6427). The implication of this study is that companies can use the optimal strategies obtained to overcome their dependence on subsidies and large-scale discounts, which result in declining profit margins for both platforms.
Seasonal time series forecasting of Indonesian railway passengers: A comparison of Holt–Winters and SARIMA Gita Indah Cahyani; Besse Arnawisuda Ningsi; Irvana Arofah
AXIOM : Jurnal Pendidikan dan Matematika Vol 15, No 1 (2026)
Publisher : State Islamic University of North Sumatra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30821/axiom.v15i1.25570

Abstract

Managing the number of railway passengers in Indonesia presents a significant challenge for PT Kereta Api Indonesia, particularly in relation to transport capacity planning, scheduling, and resource optimization. Forecasting therefore plays a crucial role in supporting effective decision-making. This study aimed to forecast railway passenger volumes using the Holt–Winters Triple Exponential Smoothing method and the Seasonal Autoregressive Integrated Moving Average (SARIMA) model, and to compare their forecasting performance. This applied research utilized secondary monthly data published by Statistics Indonesia (BPS), covering the period from January 2022 to December 2024, with forecasts generated for January to June 2025. Model performance was evaluated using the Mean Absolute Percentage Error (MAPE) criterion. The results indicated that the SARIMA  model outperformed the Holt–Winters variants and other SARIMA specifications, achieving the lowest MAPE value of approximately 3%. Based on this evaluation, the SARIMA  model was identified as the most accurate model for forecasting Indonesian railway passenger volumes. The findings suggest that SARIMA-based models provide a reliable approach for supporting railway passenger demand forecasting in Indonesia.
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.
Co-Authors Abdul Wahab Abiyya Julyanti Aden Aden Aden Aden Aden, Aden Andi Sessu Andi Sessu Anita Fujia Annisa Shafira Arnawisuda Ningsi, Besse Arya Setya Nugroho Awaluddin Tjalla Besse Arna Wisudaningsi Besse Arnawisuda Ningsi Besse Arnawisuda Ningsi Besse Arnawisuda Ningsi Dhea Rezky Febrianty Ernima Gulo Erwin Putera Permana Erwin Sulaeman Fani Oktaviani Fitriani Gantini, Sri Nevi Gerry Sastro Gita Indah Cahyani Hendro Waryanto Ida Kamila Ilmadi Ilmadi Intan Idaman Halawa Isnurani, Isnurani Iva Sarifah Junaedi Konstansius Aji Belang Lalu Masyhudi Neneng Herawati Nianty Nandasari Gesthantiara Ningsi , Besse Arnawisuda Ningsi, Besse Arnawisuda Novita Putri Amir Prapti Novitasari Rahayu, Tias Mugi Ramdani Ramdani Rini Kuswandari Rini Purwasih Sarah Febriyani Sessu, Andi Siti Rohimah Tabah Heri Setiawan Trisno, Nico Wahyu Akbari Wardani Rahayu Yulianti Rusdiana