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PENERAPAN GEOGRAPHICALLY WEIGHTED REGRESSION PADA LAPISAN OZON SEBAGAI EARLY WARNING BENCANA DI INDONESIA Defi Yusti Faidah
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol 5 (2016): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2016
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

The ozone layer depleting led to an increased ultraviolet radiation that falls to the earth's surface. This can have a negative impact on the environment and health. Effects caused by the depletion of the ozone layer, among others, environmental degradation, limited water resources, damage to the marine food chain, the destruction of coral reefs and other marine resources, declining agricultural production that could undermine food security, and other natural disasters. It takes a statistical model to predict the occurrence of rain in the city of Bandung which is intended as an early warning to disasters disebablan by the depletion of the ozone layer. The statistical model used is Geographically Weighted Regression (GWR). Modelling GWR attention to the geographical location of the region because each region has different characteristics. In this study involving variables expected effect on the ozone layer in Indonesia. Variables used are CO2 and water vapor. Based on modeling results can be known factors that significantly affect the ozone layer for each location point. Retrieved information is interesting and important differences from each point the location of the factors that significantly influence the ozone layer. Expected by unknown factors that influence can be used as input to the government to minimize the occurrence of the disaster caused by the depletion of the ozone layer.English version of the abstract be written here. Keywords: Early Warning, GWR, Ozon.

ANALISIS EFEKTIVITAS PEMBELAJARAN DARING DAN LURING PADA ERA ENDEMIK COVID-19 Defi Yusti Faidah; Nathanael Mareo Liatna; Anugrah Aidil Fitria; Refaldo Richkolas Philadelphia
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): 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.v4i3.420

The COVID-19 pandemic has brought significant changes, particularly in the education sector. Since the onset of the pandemic, closure policies and social restrictions have forced many educational institutions to find alternative solutions to keep learning going. During the COVID-19 pandemic period, the learning method used is online media. This refers to the practice of distance learning implemented to maintain social distance and reduce the spread of the virus. Online and offline learning have their own advantages and disadvantages. The purpose of this study is to determine the difference in effectiveness between online and offline learning using nonparametric statistical methods. The result of Mann-Whitney test can be concluded that there is a difference in effectiveness between online and offline learning. Chi-Square test shows that there is a relationship between learning process and understanding lecture material, interacting with lecturers and learning motivation. However, a relationship does not exist between the learning process and students' time management

OPTIMALISASI STRATEGI PENGELOMPOKKAN POTENSI PADI SEBAGAI SOLUSI EFEKTIF KELANGKAAN BERAS DI JAWA BARAT Defi Yusti Faidah; Ashilla Maula Hudzaifa; Nadine Theresia; Carissa Egytia Widiantoro
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (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.v5i1.592

Food security is a crucial issue for Indonesia, especially with the increasing threat of climate change. Focusing on rice production, this study analyses the mapping of districts/cities in West Java based on area harvested, rice production, and number of farm households using the Gaussian Mixture Model (GMM). GMM was chosen because it can overcome ambiguous data and has a large variance value. By using GMM, it is expected to find patterns or useful information from rice production data in West Java. Based on the results obtained, it can be seen that the best model is VEV with 5 clusters. Cluster 1 has characteristics of rice area, rice production, and number of farm households that are classified as low. The members of cluster 1 are Bogor, Sukabumi, Bandung, Ciamis, Kuningan, Sumedang, Purwakarta, West Bandung and Pangandaran. The results of this study are expected to help optimise rice production to meet food needs, reduce dependence on rice imports, and ultimately improve food security in Indonesia

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

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

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

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.

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

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.

PENDEKATAN NONPARAMETRIK UNTUK MENGANALISIS KESEHATAN MENTAL MAHASISWA DALAM KONTEKS PROSES PEMBELAJARAN Caesar, Muhammad Imamul; Fauzan, Muhammad Al; Faidah, Defi Yusti
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (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.v5i2.708

Mental health is a condition where individuals have good emotional, psychological, and social well-being, influencing how they think, feel, and act. This study analyzes the mental health of students aged between 18 and 24 years using a nonparametric statistical approach. Data were collected from a survey of 65 students regarding gender, field of study, and year of study, with a focus on mental disorders such as depression, anxiety, and panic attacks. Descriptive analysis methods and the Chi-Square test with α = 5% showed no significant relationship between gender and mental health disorders. However, a significant relationship was found between field of study and anxiety, while no significant relationship was found between field of study and depression or panic attacks. Additionally, there was no significant relationship between the year of study and any of the mental health disorders examined. These findings provide insights for higher education institutions to design effective policies and interventions to support students' mental health

ANALISIS FAKTOR PENYEBAB PENYAKIT TBC DI JAWA BARAT MENGGUNAKAN REGRESI BINOMIAL NEGATIF Zeanova, Humaira; Taniwan, Peter; Aulia Putri, Rahma; Yusti Faidah, Defi
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.v5i3.859

The realization of "Indonesia Emas 2045" is significantly determined by the current Golden Generation. It is expected that this generation possesses high competence, quality, and innovation. As the most populous province in Indonesia, West Java plays a crucial role in achieving the vision of "Indonesia Emas 2045," particularly in the Human Development pillar through the enhancement of health standards. However, infectious diseases have become a major barrier to realizing this vision, with tuberculosis (TB) being one of the most prevalent. In 2023, there were 204,934 reported TB cases in West Java. Therefore, this study aims to identify the factors influencing the number of TB cases in West Java. The data type for TB cases is count data, thus the approach used in this study is Poisson regression, with Negative Binomial regression as an alternative to address overdispersion. The results indicate that the number of community health centers (X1), the percentage of standard-compliant drinking water facilities (X2), and the Air Quality Index (X4) have a significant impact on the number of TB cases in West Java. This is demonstrated by the p-value of each variable, where variables X1, X2, and X4 all have a p-value of 0.0, except for the percentage of households with adequate sanitation (X3), which has a p-value of 0.063 in the Negative Binomial regression. Based on these factors, it is hoped that the government can optimize related programs and facilities to reduce the number of TB cases in West Java and contribute to realizing one of the pillars of "Indonesia Emas 2045."

Model Truncated Spatial pada Data Tersensor Faidah, Defi Yusti
Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya 2016: Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya
Publisher : Universitas Muhammadiyah Surakarta

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

Pada kasus tertentu seringkali ditemui data yang bernilai nol untuk sebagian observasi, dan sisanya memiliki nilai yang beragam. Data yang memiliki struktur tersebut dinamakan data tersensor. Dibutuhkan metode khusus untuk mengolah data tersebut. Penggunaan metode analisis regresi linier klasik untuk melihat hubungan variabel yang sifatnya tersensor dengan variabel prediktor tidak tepat. Untuk mengatasi hal tersebut, maka digunakan suatu model regresi untuk data tersensor yang dikenal dengan nama Model truncated. Akan tetapi seringkali data-data tersensor melibatkan aspek keterkaiatan antar wilayah. Oleh karena itu diperlukan suatu pendekatan yang mengkombinasikan antara model truncated dan spasial. Penelitian ini mengkaji data tersensor dengan pendekatan model truncated spatial. Metode penaksiran parameter yang digunakan adalah Maximum Likelihood Estimation. Penaksiran parameter dilakukan dengan melakukan turunan parsial pertama fungsi ln likelihood terhadap parameter yang akan diestimasi dan kemudian disamakan dengan nol. Penaksiran parameter model truncated spasial tidak bisa langsung diperoleh. Hal ini karena fungsinya berbentuk implisit sehingga diperlukan iterasi Newton Raphson untuk memperoleh estimasi parameternya

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