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All Journal Jurnal Sains Matematika dan Statistika Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA ESTIMASI: Journal of Statistics and Its Application Jurnal Pengabdian kepada Masyarakat Nusantara JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Jurnal AbdiMas Nusa Mandiri Jurnal Statistika dan Sains Data
Brilliant, Indira Ihnu
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Mathematics Physics Social Sciences Other

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Workshop on Visual Data Analysis with R Program Wutsqa, Dhoriva Urwatul; Kismiantini, Kismiantini; Kusumawati, Rosita; Subekti, Retno; Setiawan, Ezra Putranda; Isnaini, Bayutama; Brilliant, Indira Ihnu
Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA Vol. 8 No. 2 (2024): Vol 8, No 2 (2024)
Publisher : Yogyakarta State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpmmp.v8i2.71583

Abstract

Statistics data analysis generally focuses more on mathematical procedures than visual. Visual analysis is very useful for research and this is still very limited to study at Universitas Mercu Buana Yogyakarta, so the UNY Statistics lecturer's service activity is holding visual data analysis workshop with the R program, where this program is open source and is complete for visual analysis. The material for this activity is about procedures and uses for visual data analysis, introduction to the R program, data management with the R program, visual data analysis for group descriptions and comparisons, and visual data analysis for relationships between variables. Evaluation of participants' ability to understand the material is measured through 14 questions with four Likert Scale responses. Based on 40 questionnaires, 27,86% answered "Strongly Agree", 71,96% "Agree", and 0,18% "Disagree" regarding understanding and applying visual data analysis techniques with the R program. Therefore, it can be concluded that the majority of participants could understand the workshop material and follow the training well.
Faktor-Faktor Penentu Prevalensi Stunting di Nusa Tenggara Barat: Analisis Spasial dengan Modifikasi Ketetanggaan Nastiti, Kartika Tri; Luthfi, Zalfa Jihan; Ummah, Karimatul; Brilliant, Indira Ihnu; Setiawan, Ezra Putranda
Jambura Journal of Probability and Statistics Vol 6, No 1 (2025): Jambura Journal of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjps.v6i1.24714

Abstract

Stunting is one of the problems faced by the Indonesian population. In 2022, its prevalence in West Nusa Tenggara reached 18.5% and became the fourth highest in Indonesia. This study was conducted to identify the factors that can be used to explain the prevalence of stunting in West Nusa Tenggara using the spatial regression method.  Considering that this province consists of two separate islands, Queen's contiguity matrix was modified to consider the connections between the islands.  Based on the AIC values, the Spatial Durbin Model (SDM) becomes the best model for stunting prevalence. The research results show that the variables Human Development Index (HDI), ADHK Gross Regional Domestic Product, and the number of community health centers have a significant effect on the prevalence of stunting in West Nusa Tenggara. Of these three variables, the HDI variable has the greatest influence on reducing the prevalence of stunting in West Nusa Tenggara. The significance of the Spatial Durbin model shows that there is a spatial effect on the dependent and independent variables. 
Analisis Spasial Kualitas Air Sungai Winongo menggunakan Metode Universal Kriging Annindiya, Harsyta; ‘Ibad, Muhammad Irsyadul; Nashirah, Najla; Brilliant, Indira Ihnu; Setiawan, Ezra Putranda
Jurnal Sains Matematika dan Statistika Vol 11, No 2 (2025): JSMS Juli 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v11i2.29193

Abstract

Yogyakarta merupakan salah satu kota di Jawa yang dialiri oleh dua sungai, yakni Sungai Code dan Sungai Winongo. Penelitian ini bertujuan menerapkan universal kriging guna memetakan dan menganalisis kualitas air di Sungai Winongo dengan parameter fisis berupa Total Dissolve Solid, serta parameter biokimia berupa Bakteri Coliform dan Biological Oxygen Demand. Sampel diambil pada bulan Desember 2021 di lima titik pantau yaitu Bener, Peta, Serangan, Taman Sari, dan Prapanca. Metode Universal Kriging digunakan dalam penelitian ini karena adanya trend pada data parameter yang digunakan dan tidak memenuhi asumsi stasioner. Hasil yang diperoleh adalah sungai yang memiliki Biological Oxygen Demand paling tinggi adalah di sekitar titik pantau Peta, tercemar Total Dissolve Solid paling tinggi di sekitar titik pantau Prapanca serta tercemar Bakteri Coliform paling tinggi di sekitar titik pantau Prapanca dan Taman Sari.
Workshop Inferensi Statistik dengan Pendekatan Berbasis Simulasi Kismiantini, Kismiantini; Subekti, Retno; Brilliant, Indira Ihnu; Ratnasari, Andika Putri
Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA Vol. 9 No. 2 (2025): Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA
Publisher : Yogyakarta State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpmmp.v9i2.83414

Abstract

Mata kuliah Statistika umumnya lebih fokus pada prosedur inferensi bagi parameter secara teoritis dan belum memperhatikan pendekatan berbasis simulasi. Pendekatan berbasis simulasi memiliki kelebihan tanpa adanya pemenuhan asumsi klasik. Di Program Studi Matematika Universitas Nusa Cendana, materi inferensi statistik dengan pendekatan berbasis simulasi masih belum diterapkan secara optimal sehingga kelompok dosen Statistika Universitas Negeri Yogyakarta melaksanakan kegiatan workshop inferensi statistik dengan pendekatan berbasis simulasi. Evaluasi kemampuan peserta dalam memahami dan menerapkan materi yang disampaikan diukur melalui 15 butir pernyataan dengan empat respons skala Likert (sangat setuju, setuju, tidak setuju, sangat tidak setuju). Berdasarkan kuesioner hari pertama (39 peserta memberikan respons lengkap), diperoleh rata-rata 38,10% peserta menjawab "˜sangat setuju', 61,54% "˜setuju', dan 0,37% "˜tidak setuju'. Kemudian kuesioner hari kedua (20 peserta memberikan respons lengkap), diperoleh hasil rata-rata 39,38% peserta menjawab "˜sangat setuju', 58,75% "˜setuju', dan 1,88% "˜tidak setuju'. Oleh karena itu, dapat disimpulkan bahwa mayoritas peserta dapat memahami materi workshop dan mengikuti pelatihan dengan baik.
Peningkatan Literasi Statistik Melalui Workshop Analisis Regresi Linier Menggunakan Software JASP Subekti, Retno; Kismiantini; Brilliant, Indira Ihnu; Ratnasari, Andika Putri; Atikah, Farahhuda
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 7 No. 1 (2026): Edisi Januari - April
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi statistik bagi dosen dan mahasiswa melalui pelatihan analisis regresi linier menggunakan software statistik yang gratis yaitu JASP. Kegiatan dilaksanakan pada tanggal 7–8 Oktober 2025 di Program Studi Demografi dan Pencatatan Sipil UNS secara luring dan daring.  Metode pelaksanaan mencakup ceramah, demonstrasi, dan praktik langsung dengan studi kasus. Hasil evaluasi menunjukkan bahwa seluruh peserta mengalami peningkatan pemahaman, dengan 42,33% peserta menyatakan sangat setuju dan 57,77% menyatakan setuju bahwa peserta memahami materi analisis regresi linier sederhana dan berganda menggunakan JASP. Kegiatan ini memberikan kontribusi positif terhadap peningkatan kemampuan analisis data berbasis software statistik bebas lisensi
Analisis harga minyak, emas, dan nilai tukar terhadap IHSG dengan Error Correction Model Syah, Ajeng Ranaya; Putri Mawardi, Nariza Rahmadani; Prahastiwi, Juanita Matni; Brilliant, Indira Ihnu; Ratnasari, Andika Putri
Jurnal Statistika dan Sains Data Vol 3, No 2 (2026): Jurnal Statistika dan Sains Data
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jssd.v3i2.27066

Abstract

Abstrak. Pergerakan Indeks Harga Saham Gabungan (IHSG) dipengaruhi oleh dinamika variabel makroekonomi global yang bersifat fluktuatif, khususnya harga minyak, harga emas, dan nilai tukar. Penelitian ini bertujuan menganalisis pengaruh jangka panjang pendek dari ketiga variabel tersebut terhadap IHSG menggunakan pendekatan Error Correction Model (ECM) berdasarkan 2.438 data harian. Analisis dilakukan melalui tahapan uji stasioneritas, estimasi regresi jangka panjang, pengujian kointegrasi, serta estimasi model ECM untuk mengidentifikasi dinamika jangka pendek. Hasil penelitian menunjukkan bahwa harga minyak, harga emas, dan nilai tukar memiliki pengaruh signifikan terhadap IHSG dalam jangka panjang, yang mengindikasikan adanya hubungan keseimbangan jangka panjang antara variabel-variabel tersebut. Sementara itu, pada jangka pendek, hanya harga minyak yang terbukti berpengaruh signifikan terhadap perubahan IHSG. Error Correction Term (ECT) bernilai negatif dan signifikan, yang menandakan adanya mekanisme penyesuaian menuju keseimbangan jangka panjang. Temuan ini menunjukkan bahwa variabel makro global tersebut memiliki peran penting dalam menentukan pergerakan IHSG baik dalam jangka pendek maupun jangka panjang. Kata kunci: IHSG, ECM, minyak, kurs, ECTAbstract. The movement of the Jakarta Composite Index (IHSG) is influenced by fluctuations in global macroeconomic variables, particularly oil prices, gold prices, and exchange rates. This study aims to analyze the long and short-term effects of these three variables on the IHSG using the Error Correction Model (ECM) approach based on 2,438 daily observations. The analysis was conducted through a series of procedures, including stationarity testing, long-run regression estimation, cointegration testing, and ECM estimation to identify short-run dynamics. The findings indicate that oil prices, gold prices, and exchange rates have a significant long-term impact on the IHSG, suggesting the presence of a long-run equilibrium relationship among these variables. Meanwhile, in the short run, only oil prices were found to significantly influence changes in the IHSG. The Error Correction Term (ECT), which is negative and statistically significant, confirms the existence of an adjustment mechanism toward long-run equilibrium when deviations occur. These results demonstrate that global macroeconomic variables play an important role in shaping IHSG movements in both the short and long run.Keywords: IHSG, ECM, oil, exchange rate, ECT
Analisis pertumbuhan ekonomi Indonesia dengan VECM: peran instrumen syariah dan makroekonomi Latifatuzzahra, Istianah; Ilahi, Nayli Kurnia; Anggraini, Elsya; Ratnasari, Andika Putri; Brilliant, Indira Ihnu
Jurnal Statistika dan Sains Data Vol 3, No 2 (2026): Jurnal Statistika dan Sains Data
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jssd.v3i2.27059

Abstract

This study aims to analyze the influence of Sharia Stocks, Sharia Mutual Funds, the Indonesian Composite Index (IHSG), and inflation on Indonesia’s Gross Domestic Product (GDP) in both the short and long run during the 2011-2024 period. The research is motivated by the dynamic development of Indonesia’s capital market and previous study indicating nonlinear relationships between capital market instruments and economic growth. Using the Vector Error Correction Model (VECM), the study conducts a series of procedures, including stationarity testing, optimal lag selection, Johansen cointegration testing, VECM estimation, Granger causality testing, impulse response function (IRF), variance decomposition (VD), and forecasting. The results reveal three cointegrating vectors, confirming stable long-run relationships among the variables. The IRF results show that shocks in sharia stocks and the IHSG significantly affect GDP, whereas the impact of inflation is relatively small. The VD analysis further indicates that sharia stocks contribute the most to GDP fluctuations in the medium term. These findings highlight the critical role of both sharia and conventional capital markets in supporting Indonesia’s economic growth and underline the strong interdependence between financial market dynamics and the real economy. 
Analisis dinamika variabel makroekonomi terhadap kurs Rupiah di Indonesia melalui pendekatan Vector Error Correction Model (VECM) Rosyadani, Bilqis Salsabila; Azizah, Farah Nur; Zahirah, Qurrota A'yun; Raymond, Sherly Leyn; Ratnasari, Andika Putri; Brilliant, Indira Ihnu
Jurnal Statistika dan Sains Data Vol 3, No 2 (2026): Jurnal Statistika dan Sains Data
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jssd.v3i2.27071

Abstract

Abstrak. Stabilitas Rupiah terhadap Dolar AS penting bagi perekonomian Indonesia yang semakin terhubung secara global. Penelitian ini menganalisis pengaruh ekspor, inflasi, dan BI Rate terhadap kurs Rupiah/USD dengan pendekatan Vector Error Correction Model (VECM) menggunakan data bulanan Januari 2015–Desember 2024 dari BPS dan Bank Indonesia. Hasil menunjukkan adanya satu hubungan kointegrasi jangka panjang. Koefisien ECT kurs sebesar 0.0139 (p = 0.0643) mengindikasikan koreksi jangka panjang lemah. Dalam jangka pendek, kurs dipengaruhi inertia dirinya sendiri (lag kurs signifikan), sedangkan ekspor, inflasi, dan BI Rate tidak signifikan. Analisis IRF dan FEVD menegaskan kurs dominan di awal, ekspor meningkat kuat pada horizon menengah, dan menjadi variabel eksternal paling berpengaruh dalam jangka panjang. Implikasi kebijakan stabilitas kurs lebih ditentukan oleh momentum internal dan faktor eksternal global, sementara pengelolaan inflasi, BI Rate, serta penguatan ekspor tetap krusial untuk menjaga nilai tukar Rupiah.Kata kunci: Ekspor, Inflasi, BI Rate, Vector Error Correction Model, Kurs Rupiah/USDAbstract. The stability of the Indonesian Rupiah against the US Dollar is a key indicator for maintaining economic resilience in an increasingly interconnected global economy. This study examines the influence of exports, inflation, and the Bank Indonesia policy rate (BI Rate) on the Rupiah/USD exchange rate using a Vector Error Correction Model (VECM) with monthly data from January 2015 to December 2024 sourced from BPS and Bank Indonesia. The results reveal one longrun cointegration relationship. The Error Correction Term (ECT) for the exchange rate is 0.0139 (p = 0.0643), indicating weak longrun adjustment. In the short run, the exchange rate is driven primarily by its own inertia, with significant effects from lagged values of the Rupiah, while exports, inflation, and the BI Rate are not significant. Impulse Response Function (IRF) and Forecast Error Variance Decomposition (FEVD) analyses confirm that the exchange rate dominates in the short horizon, exports gain importance in the medium term, and become the most influential external factor in the long run. Policy implications suggest that Rupiah stability is shaped more by internal momentum and global external factors, while credible inflation management, BI Rate policy, and sustained export growth remain crucial to maintaining exchange rate stability.Keywords:Exports, Inflation, BI Rate, Vector Error Correction Model, Rupiah/USD Exchange Rate
SOSIALISASI JASP: PELATIHAN ANALISIS DATA STATISTIK BAGI AKADEMISI MAKASAR Subekti, Retno; Insani, Nur; Brilliant, Indira Ihnu; Sari, Eminugroho Ratna; Saptaningtyas, Fitriana Yuli; Bayyinah, Nurul
Jurnal AbdiMas Nusa Mandiri Vol. 8 No. 2 (2026): Periode April 2026
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v8i2.7813

Abstract

Limited access to licensed statistical software is one of the obstacles in strengthening data analysis competencies at the Makassar Ujung Pandang Education Foundation (YPUP) College of Teacher Training and Education (STKIP). The introduction of free and open-source statistical software such as Jeffreys's Amazing Statistics Program (JASP) has encouraged the implementation of this service activity. The activity aims to increase literacy and readiness to use legal and easily accessible alternative statistical software. The workshop was held online on July 11–12, 2025 with a participatory training approach that included presentation of educational research design, demonstration of the use of JASP, as well as descriptive, parametric, and non-parametric statistical analysis practices. There were 37 participants including lecturers and students, with 33 participants filling out the evaluation instruments. The evaluation was carried out descriptively through a self-assessment questionnaire to measure the level of understanding of participants after the training. The results showed that 32.73% of participants strongly agreed and 67.27% agreed that they had understood the use of JASP. These findings indicate an increase in initial literacy and readiness for the adoption of open-source-based statistical software. Although the objective measurement of the improvement of analytical skills through pre-test and post-test has not been carried out, this activity opens opportunities for the integration of JASP in learning and research and becomes the basis for planning further assistance as a form of program sustainability.
Identifikasi Prediktor Jumlah Kasus Baru Tuberkolosis di Jawa Barat: Perbandingan Regresi Poisson, Binomial Negatif, dan Poisson terbobot Geografis Khalishah, Athayya Putri; Advani, Nadjma Maulidya; Syahputra, Fathur Rahman; Brilliant, Indira Ihnu; Setiawan, Ezra Putranda
ESTIMASI: Journal of Statistics and Its Application Vol. 7, No. 1, Januari, 2026 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v7i1.34314

Abstract

Tuberculosis (TB) is still a serious problem for the world, including Indonesia as the third largest contributor of TB cases in the world. This study aims to analyze the factors that affect the number of new TB cases in West Java Province as the province with the most TB cases in Indonesia in 2022. The response variable used is the number of new TB cases in West Java Province in 2022, while the predictor variables used are population density, number of AIDS cases, poverty, and sanitation. Since the dependent variable comes from counting procedure, we conducted the analysis through three models, namely Poisson regression, negative binomial regression, and Geographically Weighted Poisson Regression (GWPR). We find that in the negative binomial method there was only one insignificant predictor variable, namely population density. Based on influential predictor variables, GWPR models in districts / cities in West Java can be separated into four groups. The best model to analyze the factors affecting new TB cases is the negative binomial regression model with an AIC of 487.76.
Co-Authors Advani, Nadjma Maulidya Anggraini, Elsya Annindiya, Harsyta Atikah, Farahhuda Azizah, Farah Nur Bayyinah, Nurul Dhoriva Urwatul Wutsqa Eminugroho Ratna Sari Ezra Putranda Setiawan Fitriana Yuli Saptaningtyas Ilahi, Nayli Kurnia Isnaini, Bayutama Khalishah, Athayya Putri Kismiantini Kismiantini Latifatuzzahra, Istianah Luthfi, Zalfa Jihan Nashirah, Najla Nastiti, Kartika Tri Nur Insani Prahastiwi, Juanita Matni Putri Mawardi, Nariza Rahmadani Ratnasari, Andika Putri Raymond, Sherly Leyn Retno Subekti Rosita Kusumawati Rosyadani, Bilqis Salsabila Syah, Ajeng Ranaya Syahputra, Fathur Rahman Ummah, Karimatul Zahirah, Qurrota A'yun ‘Ibad, Muhammad Irsyadul