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All Journal Natural Science: Journal of Science and Technology JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) JOIN (Jurnal Online Informatika) JURNAL ILMIAH MATEMATIKA DAN TERAPAN BAREKENG: Jurnal Ilmu Matematika dan Terapan Kompartemen : Jurnal Ilmiah Akuntansi Jurnal Aplikasi Statistika & Komputasi Statistik Jurnal Varian Majalah Ilmiah Matematika dan Statistika (MIMS) JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Parameter: Journal of Statistics Jurnal Pengabdian Farmasi dan Sains

Fadjryani, Fadjryani

Department Statistics, Faculty Of Mathematics And Natural Sciences, Tadulako University, Indonesia

Author-ID : 718081

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Immunology & microbiology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Transportation Other

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MENENTUKAN PUNCAK EROSI POTENSIAL YANG TERJADI DI DAERAH ALIRAN SUNGAI (DAS) LOLI TASIBURI DENGAN MENGGUNAKAN METODE USLE Minarni, Minarni; Jaya, Agus Indra; Fadjryani, Fadjryani
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 10 No. 1 (2013)
Publisher : Program Studi Matematika, Universitas Tadulako

MENENTUKAN PUNCAK EROSI POTENSIAL YANG TERJADI DI DAERAH ALIRAN SUNGAI (DAS) LOLI TASIBURI DENGAN MENGGUNAKAN METODE USLE

PERANCANGAN PERCOBAAN FAKTORIAL RAL UNTUK ANALISIS PENGARUH INTERAKSI UMUR BETON DAN PENAMBAHAN ABU SEKAM PADI TERHADAP KUAT TEKAN BETON Fitri, Yuhelni; Fadjryani, Fadjryani; Rais, Rais
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 11 No. 1 (2014)
Publisher : Program Studi Matematika, Universitas Tadulako

PERANCANGAN PERCOBAAN FAKTORIAL RAL UNTUK ANALISIS PENGARUH INTERAKSI UMUR BETON DAN PENAMBAHAN ABU SEKAM PADI TERHADAP KUAT TEKAN BETON

RANCANGAN PERCOBAAN PENGAMATAN BERULANG UNTUK ANALISIS PENGARUH INTERAKSI CAHAYA DAN MEDIA TANAM TERHADAP PERTUMBUHAN DAN PERKEMBANGAN PERKECAMBAHAN KACANG HIJAU Fadjryani, Fadjryani
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 13 No. 1 (2016)
Publisher : Program Studi Matematika, Universitas Tadulako

RANCANGAN PERCOBAAN PENGAMATAN BERULANG UNTUK ANALISIS PENGARUH INTERAKSI CAHAYA DAN MEDIA TANAM TERHADAP PERTUMBUHAN DAN PERKEMBANGAN PERKECAMBAHAN KACANG HIJAU

ANALISIS KEAKTIFAN MAHASISWA JURUSAN MATEMATIKA FAKULTAS MIPA UNIVERSITAS TADULAKO DENGAN METODE MANN WHITNEY Harmila, D; Rais, Rais; Fadjryani, Fadjryani
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 12 No. 2 (2015)
Publisher : Program Studi Matematika, Universitas Tadulako

ANALISIS KEAKTIFAN MAHASISWA JURUSAN MATEMATIKA FAKULTAS MIPA UNIVERSITAS TADULAKO DENGAN METODE MANN WHITNEY

Pemodelan Kasus Balita Stunting Di Provinsi Sulawesi Tengah Menggunakan Robust Geographically Weighted Regression Gamayanti, Nurul Fiskia; Nur'eni; Fadjryani; Difa Shalsabila
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 20 No. 2 (2023)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2023.v20.i2.16585

Stunting pada balita merupakan kasus yang semakin berbahaya bagi balita. Dimana kasus tersebut dapat mengakibatkan kematian pada penderitanya. Jumlah kasus kejadian stunting balita di Sulawesi Tengah terus meningkat setiap tahunnya. Pada pemodelan kasus balita stunting di Sulawei Tengah dibutuhkan pemodelan khusus dimana pada kasus tersebut terdapat keragaman spasial dan terdapat data pencilan sehingga dibutuhkan penanganan khusus yaitu model yang dapat mengakomodasi keragaman spasial dan pencilan tersebut yaitu Robust Geographically Weighted Regression (RGWR). Pada hasil penelitian ini diperoleh 13 model kasus balita stunting untuk masing-masing kabupaten/kota di Sulawesi Tengah. Dimana tingkat akurasi dari model yang diperoleh sebesar 12,60% artinya model RGWR yang diperoleh telah sesuai dan efektif dalam memodelkan kasus balita stunting di Sulawesi Tengah

Pemodelan Jumlah Siswa Putus Sekolah Tingkat SMA di Indonesia Menggunakan Geographically Weighted Generalized Poisson Regression Azizah, Nur; Gamayanti, Nurul Fiskia; Junaidi, Junaidi; Sain, Hartayuni; Fadjriyani, Fadjryani
Jurnal Varian Vol 8 No 1 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v8i1.4248

In 2022, the high school dropout rate is the highest compared to other levels of education in Indonesia.Seeing the urgency of the 12-year Compulsory Education program, completing education up to the highschool level is an important thing that needs to be considered. Thus, it is necessary to know the factorsthat influence the dropout rate in the hope that this problem can be reduced. This study aims to modelthe high school dropout rate using geographically weighted generalized poisson regression (GWGPR)based on the factors that influence it. GWGPR is used if the response variable is overdispersed anddepends on the location observed. The results of this study indicate that each province has a different regression model. The GWGPR model with the adaptive tricube kernel weighting function is thebest model because it has the smallest AIC value compared to other weighting functions. In CentralSulawesi Province, the GWGPR model with the adaptive tricube kernel weighting function formed isµˆ26 = exp (8, 1267 − 0, 1267X4 + 0, 0344X5 + 0, 0957X6 + 0, 1173X7). With the significant variables are the average length of schooling, the percentage of the population aged 7-17 years who receivePIP, the open unemployment rate, and the percentage of children who do not live with parents.

Biplot Analysis for Spatial Mapping of Dengue Hemorrhagic Fever (DHF) Incidence in Indonesia Gani, Fadjryani Abdul; Aisya, Cici; Ainanur; Afriza, Dini Aprilia
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 2 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i2.17401

Dengue Hemorrhagic Fever (DHF) is a serious threat to Indonesian public health, with the dengue virus spread by the Aedes aegypti mosquito continuing to claim victims in all provinces in Indonesia. The drastic variation of DHF incidence between provinces requires an in-depth understanding of its distribution pattern. Biplot analysis allows researchers to identify patterns based on factors that influence the incidence of DHF in different provinces. This study aims to identify the spatial distribution pattern of DHF in Indonesia using biplot analysis, an approach that allows complex visualization of factors affecting DHF incidence. Results showed that 62.48% of the data variation could be explained through biplot representation, revealing spatial distribution patterns, proximity between objects and diversity between variables. Key findings include the identification of provinces with the highest DHF cases (56,388 cases) in quadrant IV, the high incidence of DHF cases was associated with similar characteristics of average air humidity. In addition, there was significant variation in the number of DHF cases between provinces indicating disparities in the number of DHF cases in different parts of Indonesia, as well as relative uniformity in the percentage of households with proper sanitation (descriptive average of 86.62%). The results of this study are expected to assist policy makers in formulating more effective and targeted dengue prevention and control strategies, potentially reducing the incidence of dengue and improving the health of the Indonesian people.

Optimization of Overdispersion Modeling in Low Birth Weight Cases in Central Sulawesi Using Conway-Maxwell Poisson Regression Gamayanti, Nurul Fiskia; Nur'eni; Fadjryani; Astuti, Dewi Puji
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 2 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i2.17429

Low birth weight (LBW) is a condition of a baby weighing less than 2,500 grams where gestational age is not taken into account and the baby's weight is measured within 24 hours after birth. The level of infant development also plays an important role in determining the mortality rate and incidence rate of disease in infants with LBW. This study aims to find models and factors that influence LBW using Conway Maxwell Poisson Regression (CMPR). CMPR is an extension method of Poisson regression that has the advantage of overcoming violations of the equidispersion assumption, where data can experience overdispersion or underdispersion

IMPLEMENTATION OF PLS-PM IN KNOWING THE FACTORS THAT INFLUENCE THE INCIDENCE OF TYPHOID FEVER IN PATIENTS IN ANUTAPURA PALU HOSPITAL Damayanti, Virga; Fadjryani, Fadjryani; Setiawan, Iman
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 3 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss3pp1667-1680

Typhoid fever is a multifactorial disease that has factors that can have an impact, including individual characteristics, maternal knowledge, hygiene, and nutritional status. Data on the incidence of typhoid fever involves many variables that cannot be examined directly (latent variables). This study used secondary data obtained from the medical records of typhoid fever patients at Anutapura Palu Hospital in 2023. One of the statistical methods that can be used to explain the relationship between indicators and latent variables is Partial Least Squares-Path Modeling (PLS-PM). Therefore, this study aims to model the influence of individual characteristics, maternal knowledge, hygiene, and nutritional status on the incidence of typhoid fever in patients at Anutapura Palu Hospital using PLS-PM analysis. The results of the PLS-PM analysis show that individual characteristics and nutritional status have a direct effect on the clinical images, while maternal knowledge and hygiene indirectly affect the clinical images through nutritional status, with a coefficient of determination of 0.828. So, it can be said that nutritional status is able to mediate between individual characteristics, maternal knowledge, and hygiene with the clinical images of typhoid fever.

MODELING THE IDX30 STOCK INDEX USING STEP FUNCTION INTERVENTION ANALYSIS Rais, Rais; Afriza, Dini Aprilia; Setiawan, Iman; Sain, Hartayuni; Fadjryani, Fadjryani; Junaidi, Junaidi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 3 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss3pp2057-2068

The significant decline in the IDX30 stock index occurred due to an intervention, namely the COVID-19 pandemic, which affected market stability and investment decisions. This study aims to model and forecast the IDX30 stock index using intervention analysis with a step function, which is very suitable for capturing long-term external shocks. The methodology used includes the ARIMA (AutoRegressive Integrated Moving Average) model combined with step function intervention analysis to account for structural changes due to external disturbances. The data used is sourced from investing.com, consisting of weekly IDX30 stock index prices from January 2019 to December 2023. The results show that the COVID-19 pandemic significantly impacted the IDX30 index, causing a drastic decline. The best model identified is ARIMA (1,2,1) with intervention parameters b = 0, s = 0, and r = 1. The forecasting results range from Rp. 488 to Rp. 505, with a Mean Absolute Percentage Error (MAPE) of 1.9404%, which shows the forecasting results are very good, indicating high forecasting accuracy. These findings highlight the effectiveness of intervention analysis in modeling financial time series data affected by external disturbances.

Co-Authors Aan Bin Mardi Abdul Mahatir Najar Afriza, D A Afriza, Dini Aprilia Agus Indra Jaya Ainanur Aisya, Cici Aldi Setiawan, Aldi Amaliah, Fika Reski Ambarwati B. Sarabi , Valina Annisa, N Arfa, Fhahnul Aiman H Asfar Asrima Aulia, Nanda Batara, Mohammad Chalfin Lieputera Kaliongga Damayanti, Virga Dewi Puji Astuti, Dewi Puji DEWI SARTIKA Diah Daniaty Difa Shalsabila Eka Rizky Wulansari Eliani Eliani Fika Reski Amaliah Fitri, Yuhelni Gamayanti, Nurul Fiskia Harmila, D Hartayuni Sain Iman Setiawan Ismail, Nurmasita Iut Tri Utami Jannah , Miftahul Junaidi Junaidi Junaidi Junaidi Juni Wijayanti Puspita Marulu, Puja Lestari Maulidyani Abu Mohammad Fajri Mu'arif, Z Mujahida, A S Mukarrama, F.A. Musyarofah, U Nur Azizah Nur'Eni Nur?Eni, Nur?Eni Nurdin, Ansor Nureni, Nureni Nurfadilah, Khalilah Nursanti, M Radi, Aryani Raihanah, Ghina Rizqa Rais Rais Resnawati Salsabila, P Setiawan, Iman Siti Helmyati Suaib, Tri Putri Andayani Syaiful Hendra Wawan Saputra Yulisharyasti, Luthfiah

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