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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi JTAM (Jurnal Teori dan Aplikasi Matematika) Puitika SeBaSa: Jurnal Pendidikan Bahasa dan Sastra Indonesia Munazzama Journal of Islamic Management and Pilgrimage
Ramadhanti, Aulia
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Religion Arts Humanities Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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KESEPADANAN MAKNA DALAM TERJEMAHAN LIRIK LAGU LEAD THE WAY KARYA JHENÉ AIKO DAN KITA BISA KARYA ADRIAN WAROUW Praftina, Alinda Tyas; Ramadhanti, Aulia; Salsabiila, Fardha Yoedya; Kusumastuti, Fenty
SEBASA Jurnal Pendidikan Bahasa dan Sastra Vol 7 No 2 (2024): SeBaSa
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/sbs.v7i2.26784

Abstract

This research focuses on the similarity in meaning between the lyrics of the song Bsu (Lead The Way) and Bsa (We Can). This research uses descriptive qualitative research methods. The theory used in this research is J.S.'s category shift theory. Catford (1965). The data used in this research are the lyrics of the song Lead The Way and the lyrics of the song Kita Bisa. The research data source was taken from the DisneyMusicVevo YouTube channel as source language data and the DisneyMusicAsiaVevo YouTube channel as target language data. The results of research on the equivalence of meaning in the translation of the lyrics of the song Lead The Way into Kita can be found in several types of category shifts by the category shift theory by Catford (1965). The types of shifts that occur are intra-system shifts, unit shifts, structure shifts, and class shifts.
Role of Religious Institutions in American to Strengthening Islamic Religion Fauziyah, Nurul; Ismaita, Annisa Natasya; Ramadhanti, Aulia
Munazzama: Journal of Islamic Management and Pilgrimage Vol. 5 No. 1 (2025): June
Publisher : Fakultas Dakwah dan Komunikasi Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/mz.v5i1.18722

Abstract

The United States possesses a strategically significant geographical location, bordered by the Atlantic Ocean to the east and the Pacific Ocean to the west. This unique positioning has made the country a destination for immigrants from various nations, including Muslim communities. This study aims to explore the historical foundations and development of Islam in the United States, particularly through the contributions of religious institutions and communities that promote and strengthen Islamic teachings. The research utilizes a library-based methodology with a qualitative approach, drawing from books, journals, and official reports relevant to the topic. The findings indicate that, while Islam remains a minority religion in America, its number of adherents continues to grow. This phenomenon is closely tied to the active roles played by religious organizations such as CAIR, ISNA, MSA, and FIMA, which support education, advocacy, and interfaith dialogue. Furthermore, global incidents, such as the attacks on September 11, 2001, have served as significant turning points in increasing public interest in Islam. These institutions are crucial in shaping a positive image of Islam within America's diverse society.
Analysis of Geographically Weighted Logistic Regression Models with A Bisquare Weighting Matrix on Poverty Status in West Java Saifudin, Toha; Chamidah, Nur; Aldawiyah, Najwa Khoir; Marthabakti, Citrawani; Ramadhanti, Aulia; Nahar, Muhammad Hafidzuddin; Muzakki, Naufal
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.36315

Abstract

This research addresses the first Sustainable Development Goal and aims to analyze poverty status in West Java Province, which has the second highest number of poor people in Indonesia. The study employs Geographically Weighted Logistic Regression (GWLR) and compares it with global logistic regression. Influential variables include GDP, unemployment, population density, access to safe water, and roof type (bamboo/wood). Results show that 55.6% of regions are classified as poor, with the GWLR model using a Fixed Bisquare kernel achieving 81.4% accuracy, outperforming global logistic regression at 66.7%. Significant variables vary by region: unemployment rate in Bogor, Depok, and Bekasi; population density in Bekasi, Karawang, and Purwakarta; water access in Sukabumi; and roof type in Indramayu and Bogor. These spatial variations suggest that poverty reduction requires a region-specific approach. Consequently, policies should be formulated considering the priorities and characteristics of each region in West Java Province.
Comparing MARS and Binary Logistic Regression to Modelling Hepatitis C Cases using the SMOTE Balancing Method Chamidah, Nur; Ramadhanti, Aulia; Ramadhani, Azzah Nazhifa Wina; Syahputra, Bimo Okta; Ariyawan, Jovansha; Kurniawan, Ardi
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 10, No 1 (2026): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v10i1.33196

Abstract

Hepatitis is an inflammatory liver disease caused by viral infection and remains a major global public health concern, responsible for approximately 1.4 million deaths annually. Egypt is among the countries with the highest prevalence of Hepatitis C. To address this issue and support Goal 3 of the Sustainable Development Goals (SDGs), this study applies a quantitative approach using secondary data to analyze factors influencing Hepatitis C infection in Egypt. Two statistical models Binary Logistic Regression and Multivariate Adaptive Regression Splines (MARS) were compared, with the SMOTE method implemented to correct class imbalance. The dataset consisted of 608 patient observations, initially imbalanced at a ratio of 86.5:13.5, and were balanced to 52.6:47.4 after SMOTE application. The results revealed that the MARS model demonstrated superior predictive performance compared to binary logistic regression. All independent variables were found statistically significant (p < 0.05), except sex. Additionally, all odds ratios were less than 1, indicating a lower probability of Hepatitis C infection relative to non-infection. These findings highlight the relevance of statistical modeling and data-driven strategies in supporting preventive health measures. 
Sistem Fonologi Bahasa Sunda di Desa Sukaraja, Kecamatan Malingping, Kabupaten Lebak, Banten Ramadhanti, Aulia; Nadra, Nadra; Wahyuni, Sri
Puitika Vol. 17 No. 2 (2021)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/puitika.17.2.70-85.2021

Abstract

Penelitian sistem fonologi bahasa Sunda ini bertujuan untuk mengetahui bunyi, fonem, dan pola suku kata bahasa Sunda yang terdapat di Desa Sukaraja, Kecamatan Malingping, Kabupaten Lebak, Banten. Metode yang digunakan untuk memperoleh data ialah metode simak dan metode cakap. Selama proses pengumpulan data berlangsung, hasilnya direkam dengan media handphone dan dicatat menggunakan traskripsi fonetik. Metode analisis data yang digunakan untuk menganalisis bunyi bahasa adalah metode padan artikulatoris dan padan translasional. Kemudian data-data tersebut dikelompokkan berdasarkan persamaan dan perbedaan bunyi. Untuk menganalisis fonem bahasa digunakan prosedur analisis pasangan minimal dan distribusi komplementer, sedangkan untuk menganalisis pola suku kata digunakan prosedut fonotaktik. Hasil analisis data disajikan dengan pebyajian formal dan informal. Hasil penelitian terhadap bahasa Sunda di daerah pengamatan, ditemukan adanya tujuh fonem vokal dengan variasinya, seperti: [a~ã], [ɤ̃~ɤ], dan [i~I~ĩ]; enam belas fonem konsonan, seperti /b/, /j/, /c/, dan fonem /k/ dengan variasinya [k~ɂ]; enam fonem difong, seperti /uy/, /ay/, dan /iə/; dua fonem semivokal /w/ dan /y/. Ditemukan pula sembilan belas deret vokal, seperti: /o.e/, /a.a/, dan /u.i/; 34 deret konsonan, seperti: /ŋ.b/, /n.j/, dan /l.b/; dua belas gugus konsonan, seperti /pr/, /kl/, dan /jr/; empat deret konsonan gabungan dari deret dan gugus konsonan, yaitu: /ŋkl/, /ŋkr/, /mpl/, dan /ncl/. Kata dasar dalam bahasa Sunda terdiri atas satu hingga empat suku kata dan pola yang terdapat dalam bahasa Sunda, yaitu: V pada [a.bi], VK pada [əm.be], KV pada [po.toŋ], KVK pada [cak.cak], KKV pada [klu.wih], dan KKVK [aŋ.kluŋ].
Modelling Factors Affecting the Middle Income Trap in Indonesia Using Generalized Additive Models (GAM) Amelia, Dita; Suliyanto, Suliyanto; Zhafira, Azizah Atsariyyah; Ramadhanti, Aulia; Suyono, Billy Christandy; Hizbullah, Firqa Aqila
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 11, No 1 (2026): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v11i1.35119

Abstract

Indonesia is currently facing the risk of the Middle Income Trap (MIT), a condition in which economic growth stagnates after reaching middle-income status. This study aims to identify and model socio--economic factors affecting MIT at the provincial level in Indonesia during 2020--2023. The Generalized Additive Model (GAM) is employed to capture nonlinear and heterogeneous relationships between predictors and GRDP per capita with complex patterns that conventional linear or parametric models often fail to detect. The use of GAM in this context represents a methodological contribution, as studies applying GAM for MIT analysis in Indonesia remain very limited. This research therefore introduces a novel analytical approach by demonstrating how GAM can reveal flexible functional relationships and uncover nonlinear effects that are overlooked by traditional panel regression. GRDP per capita is modeled using six predictors: life expectancy, poverty rate, informal employment share, upper secondary education completion, food insecurity prevalence, and population density. The best model is obtained using the Gaussian family with an identity link, with five predictors showing nonlinear effects and food insecurity exhibiting a negative linear influence. The selected model demonstrates strong performance, indicated by an AIC value of 2743.279 and a R^2 of 98.6%, suggesting a very high explanatory power. In addition, the model achieves good predictive accuracy, with a MAPE of 8.04%. The findings support evidence-based policies aligned with Sustainable Development Goal (SDG) 8, promoting inclusive and sustainable economic growth.
Co-Authors Aldawiyah, Najwa Khoir Ardi Kurniawan Ariyawan, Jovansha Dita Amelia, Dita Hizbullah, Firqa Aqila Ismaita, Annisa Natasya Kusumastuti, Fenty Marthabakti, CitraWani Muzakki, Naufal Nadra Khairiah Nahar, Muhammad Hafidzuddin Nur Chamidah Nurul Fauziyah, Nurul Praftina, Alinda Tyas Ramadhani, Azzah Nazhifa Wina Salsabiila, Fardha Yoedya Sri Wahyuni Suliyanto Suliyanto Suyono, Billy Christandy Syahputra, Bimo Okta Toha Saifudin Zhafira, Azizah Atsariyyah