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All Journal EKSAKTA: Journal of Sciences and Data Analysis BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Pengabdian kepada Masyarakat Nusantara Indo-MathEdu Intellectuals Journal PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya PRIMER: Jurnal Ilmiah Multidisiplin
Defi Yusti Faidah
Statistics Department, Faculty Of Mathematics And Natural Sciences, Universitas Padjadjaran, Indonesia
Religion Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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PEMODELAN PRODUK DOMESTIK BRUTO (PDB) DENGAN PENDEKATAN VECTOR ERROR CORRECTION MODEL (VECM) Sitepu, Aldi Anugerah; Tantular, Bertho; Darmawan, Gumgum; Pontoh, Resa Septiani; Faidah, Defi Yusti
PRIMER : Jurnal Ilmiah Multidisiplin Vol. 1 No. 2 (2023): PRIMER : Jurnal Ilmiah Multidisiplin, April 2023
Publisher : LPPM Institut Teknologi Dan Kesehatan Aspirasi

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

Abstract

Produk Domestik Bruto (PDB) memiliki peran yang sangat penting dalam untuk mengerti kondisi perekonomian negara. Penelitian ini bertujuan untuk memodelkan variabel PDB dengan mempertimbangkan variabel RTGS (Real Time Gross Settlement). Akan tetapi, data yang digunakan dalam penelitian ini tidak memenuhi asumsi stasioner. Metode yang digunakan pada penelitian ini adalah Vector Error Correction Model (VECM) yang merupakan salah satu model multivariat runtun waktu yang merupakan bentuk Vektor Autoregresive terestriksi dengan data yang tidak stasioner namun kombinasi liniernya memiliki kointegrasi. Hasil analisis model tersebut adalah terdapat kointegrasi antara PDB dan RTGS. Parameter model diestimasi dengan hasil estimasi jangka panjang RTGS signifikan sebesar -0,8828. Dari analisis kausalitas Granger terdapat hubungan satu arah PDB dengan RTGS. Akurasi model ditunjukkan oleh nilai MAPE sebesar 0,10%.
GROUPING REGENCIES/CITIES IN WEST JAVA PROVINCE BASED ON PEOPLE’S WELFARE INDICATORS USING BIPLOT AND CLUSTERING Puspitasari, Priscilla Ardine; Faidah, Defi Yusti; Hendrawati, Triyani
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1839-1852

Abstract

The level of people's welfare in West Java Province still requires improvement in each indicator. People's welfare indicators include poverty, employment, education, housing, consumption patterns, health, and population. The level of people's welfare can be known by reviewing all dimensions based on linear relationships between regencies/cities to produce information on indicators that still need improvement. These efforts can assist the West Java Provincial Government determine regional policies and programs for equitable distribution and improve people's welfare in all regencies/cities. The data used in this study are secondary data derived from the Website of the BPS of West Java Province 2023, West Java Open Data Province 2023, and Diskominfo Statistics Division (Jabar Digital Service). The grouping of regencies/cities was done using Principal Component Analysis based on Singular Value Decomposition biplot analysis, and it continued with Ward's Method Clustering based on Euclidean distance calculation. The analysis results formed four groups with different people's welfare indicators characteristics. The group that needs top priority in improvement is group 2 because it has a low level of people's welfare. Cluster 1 contains regencies/cities with high people's welfare characteristics in the housing and employment indicators. Cluster 3 includes regencies/municipalities with high people's welfare characteristics in the consumption pattern level, poverty, employment, and health indicators. Cluster 4 contains cities with high people's welfare characteristics in education and population indicators.
THE IMPACT OF THE PRESIDENTIAL ELECTION ON IDX COMPOSITE PREDICTIONS USING LONG SHORT TERM MEMORY Hudzaifa, Ashilla Maula; Yang, Valerie Vincent; Faidah, Defi Yusti
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2397-2412

Abstract

An analysis of the performance of Indonesia's capital market, or Indonesia Stock Exchange (IDX), shows significant growth in recent years, with market capitalization increasing dramatically from IDR 679.95 trillion in 2004 to IDR 11,674.06 trillion by 2023. The IDX plays an important role in the Indonesian economy by facilitating capital formation and providing opportunities for investors to diversify their portfolios. However, the capital market is vulnerable to political events, such as presidential elections, which can affect national stability and economic performance. An analysis of the stock index performance before the presidential election showed a significant bullish trend. Still, given the considerable impact of political events, such as presidential elections, on financial markets, this study aims to analyze and forecast the performance of the IDX Composite by examining historical data from past election years, we provide insights and predictions in highlighting how the LSTM model accommodates these political factors in its forecasts. IDX Composite closing price forecasting was conducted using the bidirectional LSTM model to anticipate the impact. The analysis results show that this model can predict the weekly closing price of the IDX Composite with an error of 1.04%, with estimated stock price fluctuations in the next 8 weeks in the range of 6619.755 to 6812.722
Penerapan Metode Grey-Markov(1,1) Untuk Peramalan Penerimaan di Kantor Pengawasan dan Pelayanan Bea Cukai Tipe Madya Pabean Cikarang Mulya, Callista Audrey; Darmawan , Gumgum; Yusti Faidah, Defi; Ahdika, Atina
Indo-MathEdu Intellectuals Journal Vol. 4 No. 3 (2023): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v4i3.431

Abstract

The Customs Supervision and Service Office is given a revenue target that must be achieved annually. However, revenue at the Customs Supervision and Service Office tends to fluctuate because it is strongly influenced by various external factors that are difficult to predict. Projections need to be done to see if the given revenue target can be achieved. This study aims to conduct forecasting so that it can be estimated how much revenue will be at the end of the year (December 2023). Research is conducted using the Grey(1,1) and Grey-Markov(1,1) models. The analysis results show that the Grey-Markov(1,1) model provides better forecasting accuracy compared to the Grey(1,1) model with a MAPE value of 5.390541% and a Posterior Error Ratio of 0.190644. These results show that the Grey Markov(1,1) model is more accurate than the Markov(1,1) mode, and that this method (Grey Markov(1,1)) is very good for forecasting with little data.
Pengaruh Gender pada Pengembangan Diri Mahasiswa dalam Konteks Perguruan Tinggi Menggunakan Statistika Nonparametrik Yang, Valerie Vincent; Safitri, Rahmah Nadia; Khairunnisa, Hanifah; Faidah, Defi Yusti
Indo-MathEdu Intellectuals Journal Vol. 5 No. 1 (2024): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v5i1.781

Abstract

Self-development is an important aspect that is the goal of a student to express abilities, interests, and talents through activities and activities inside and outside an educational institution. The study aims to determine the relationship between differences in answers based on gender with factors influencing student self-development with a nonparametric statistical method approach. Followed by a nonparametric statistical method, namely the Chi-Square test, with α = 5%. The results showed that there was no difference between male and female students in the influence factors of lecturer teaching methods, friendship environments, organizations/committees, and courses on student self-development
Pemodelan Faktor-Faktor yang Memengaruhi Kejadian HIV/AIDS di Provinsi Jawa Barat Taniwan, Peter; Bilbina, Ara Figura; Ganap, Christian Rafael Shalmon; Faidah, Defi Yusti
Indo-MathEdu Intellectuals Journal Vol. 5 No. 3 (2024): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v5i3.1278

Abstract

Indonesia is focusing on preparing for Indonesia’s Golden 2045 through the Golden Generation. The Golden Generation is expected to be the country's quality and superior human resource. The province of West Java, with the largest population in Indonesia, plays an important role in realizing Indonesia's Golden 2045 ambition. However, the high HIV/AIDS incidence in West Java is a major challenge that could potentially hinder Indonesia’s achievement of the 2045 Gold Plan. The Ministry of Health has launched the Three Zero HIV/AIDS concept to meet one of Indonesia's Golden 2045 pillars. Based on this, the study aims to identify factors that influence the number of HIV/AIDS cases in West Java. The HIV/AIDS case is a data count, so the approach used in this study is Poisson Regression. The results of the study showed that the number of cases of violence (X1), the percentage of use of condom contraceptives among members of the Family Planning (KB) program (X2), population density (X3), the proportion of poor population (X4), and number of health facilities per 100,000 inhabitants (X5) were related to cases of HIV/AIDS in the West Java Province. It is seen from the p-value of each variable X is 0.0 except the population density is worth 0.003. Having identified significant factors influencing cases of HIV/AIDS in West Java, the government is expected to enhance cooperation with relevant agencies in reducing the risk of the number of cases in Western Java. Thus, Three Zero in West Java can be achieved by 2030.
Analisis Regresi Binomial Negatif terhadap Faktor-Faktor yang Memengaruhi Kasus Tuberkulosis di Jawa Barat, Indonesia Fikriya, Aufa; Shalfa Salsabilla; Raisah Zharifah Labibah; Sri Winarni; Defi Yusti Faidah; Anindya Apriliyanti Pravitasari; Triyani Hendrawati; Irlandia Ginanjar
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 7, ISSUE 1, April 2026
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol7.iss1.art3

Abstract

Tuberculosis (TB) remains a major public health problem globally, with West Java reporting the highest number of TB cases among all provinces in Indonesia in 2023. This study aims to identify key factors influencing TB incidence across districts and cities in West Java in 2024. The analysis focuses on healthy living behaviors, proper sanitation, HIV cases, and AIDS cases using a Negative Binomial Regression approach to address overdispersion in count data. The results show that proper sanitation has a significant negative association with TB incidence, while HIV and AIDS cases exhibit significant positive associations. The best-performing model includes these three variables, yielding a residual deviance of 27.615. These findings highlight the importance of integrated public health interventions that simultaneously improve sanitation and strengthen HIV/AIDS control programs to effectively reduce TB incidence in high-burden regions.
Storytelling dan Permainan Edukatif dalam Menumbuhkan Kepedulian Lingkungan di SDN Babakancianjur Defi Yusti Faidah; Gumgum Darmawan; Bertho Tantular; Triyani Hendrawati; Nisrina Khoirunnisa; Anangga Arkan Thirafi; Nayadiva Shafinka; Muhammad Rafli Ramadhan; Zahra Hana Dwi Pasha
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 7 No. 2 (2026): Edisi Mei - Agustus
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v7i2.8914

Abstract

Pencemaran Sungai Citarum akibat limbah domestik dan industri menunjukkan pentingnya peningkatan kesadaran lingkungan sejak dini. Berdasarkan hasil observasi awal di SDN Babakancianjur, sebagian siswa masih memiliki pemahaman yang terbatas mengenai pelestarian sungai dan pengelolaan sampah. Kegiatan pengabdian ini bertujuan untuk meningkatkan pemahaman dan kepedulian lingkungan siswa melalui program edukasi pelestarian sungai di SDN Babakancianjur. Program dilaksanakan pada 47 siswa kelas IV SDN Babakancianjur melalui pendekatan storytelling, permainan edukatif memilah sampah, serta aktivitas partisipatif berupa melukis pot dan menanam bibit tanaman, yang dievaluasi menggunakan desain pre-test dan post-test. Analisis data dilakukan menggunakan uji paired t-test. Hasil kegiatan menunjukkan adanya peningkatan pemahaman siswa mengenai pelestarian sungai dan pengelolaan sampah setelah mengikuti program edukasi. Siswa menjadi lebih mampu membedakan sampah organik dan anorganik, memahami dampak pencemaran sungai, serta menunjukkan kepedulian yang lebih baik terhadap lingkungan. Pendekatan pembelajaran interaktif juga meningkatkan partisipasi aktif dan antusiasme siswa selama kegiatan berlangsung. Persentase siswa yang memperoleh nilai 100 meningkat dari 42% pada pre-test menjadi 68% pada post-test, sedangkan hasil uji paired t-test menghasilkan p-value sebesar 0,001 yang menunjukkan adanya peningkatan pemahaman yang signifikan. Program edukasi pelestarian sungai dinilai efektif dalam mendukung penguatan kepedulian lingkungan pada siswa sekolah dasar serta mendukung pencapaian Sustainable Development Goals (SDGs).
Co-Authors Aldi Anugerah Sitepu Anangga Arkan Thirafi Anindya Apriliyanti Pravitasari Anugrah Aidil Fitria Ashilla Maula Hudzaifa Aulia Putri, Rahma Bertho Tantular Bilbina, Ara Figura Caesar, Muhammad Imamul Carissa Egytia Widiantoro Fauzan, Muhammad Al Fikriya, Aufa Ganap, Christian Rafael Shalmon Gumgum Darmawan Hudzaifa, Ashilla Maula Irlandia Ginanjar Khairunnisa, Hanifah Muhammad Rafli Ramadhan Mulya, Callista Audrey Nadine Theresia Nathanael Mareo Liatna Nayadiva Shafinka Nisrina Khoirunnisa Puspitasari, Priscilla Ardine Raisah Zharifah Labibah Refaldo Richkolas Philadelphia Resa Septiani Pontoh Safitri, Rahmah Nadia Shalfa Salsabilla Sitepu, Aldi Anugerah Sri Winarni Taniwan, Peter Triyani Hendrawati Yang, Valerie Vincent Zahra Hana Dwi Pasha Zeanova, Humaira