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All Journal Jurnal Matematika Sains dan Teknologi JUMLAHKU: Jurnal Matematika Ilmiah STKIP Muhammadiyah Kuningan Variance : Journal of Statistics and Its Applications Jurnal Equation: Teori dan Penelitian Pendidikan Matematika International Journal of Quantitative Research and Modeling International Journal of Ethno-Sciences and Education Research Darma Sabha Cendekia Agridev Journal : Agribusiness Digitalization & Community Development Joong-Ki Jurnal Matematika Ilmiah Universitas Muhammadiyah Kuningan Ulil Albab Joong-Ki PESHUM
Agung Prabowo
Department Of Mathematics, Faculty Of Mathematics And Natural Sciences, Universitas Jenderal Soedirman, Purwokerto, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Transportation Veterinary Other

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Journal : International Journal of Quantitative Research and Modeling

 1 
On Generalization of Fibonacci, Lucas and Mulatu Numbers Agung Prabowo
International Journal of Quantitative Research and Modeling Vol 1, No 3 (2020)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.037 KB) | DOI: 10.46336/ijqrm.v1i3.65

Abstract

Fibonacci numbers, Lucas numbers and Mulatu numbers are built in the same method. The three numbers differ in the first term, while the second term is entirely the same. The next terms are the sum of two successive terms. In this article, generalizations of Fibonacci, Lucas and Mulatu (GFLM) numbers are built which are generalizations of the three types of numbers. The Binet formula is then built for the GFLM numbers, and determines the golden ratio, silver ratio and Bronze ratio of the GFLM numbers. This article also presents generalizations of these three types of ratios, called Metallic ratios. In the last part we state the Metallic ratio in the form of continued fraction and nested radicals.
On Generalization of Fibonacci, Lucas and Mulatu Numbers Agung Prabowo
International Journal of Quantitative Research and Modeling Vol. 1 No. 3 (2020): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v1i3.65

Abstract

Fibonacci numbers, Lucas numbers and Mulatu numbers are built in the same method. The three numbers differ in the first term, while the second term is entirely the same. The next terms are the sum of two successive terms. In this article, generalizations of Fibonacci, Lucas and Mulatu (GFLM) numbers are built which are generalizations of the three types of numbers. The Binet formula is then built for the GFLM numbers, and determines the golden ratio, silver ratio and Bronze ratio of the GFLM numbers. This article also presents generalizations of these three types of ratios, called Metallic ratios. In the last part we state the Metallic ratio in the form of continued fraction and nested radicals.
Application Of Survival Analysis: A Case Study Of The Nelson-Aalen Method In Patients With Kidney Failure Agung Prabowo; Uni Febriani; Isna Fingky Musita; Valysha Alhamdaniya Rozak Putri
International Journal of Quantitative Research and Modeling Vol. 7 No. 1 (2026): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v7i1.1081

Abstract

Survival analysis is a statistical method used to evaluate the time an event occurs, particularly in censored data. In this study, the Nelson-Aalen method was applied to analyze the survival probability of patients with kidney failure based on medical data from Hasanuddin University Hospital. This method was used to calculate the cumulative hazard and survival function of patients. The analysis results showed that the longer a patient was treated, the greater the chance of recovery. The Nelson-Aalen method was considered more efficient in handling small samples compared to other non-parametric methods. This study provides important insights for healthcare practitioners in planning patient care and improving their quality of life.
Survival Analysis Of Long Time To Recovery Of Covid-19 Patients Using The Antiviruses Remdesivir And Favipiravir Using The Kaplan-Meier Method Agung Prabowo; Diniatul Akmalina; Assana Dea Siahaan; Flower of Your Dreams Yati Puty
International Journal of Quantitative Research and Modeling Vol. 6 No. 4 (2025): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i4.1082

Abstract

The coronavirus first appeared in Wuhan, China, in early December 2019. This virus is also known as Coronavirus disease 2019 (COVID-19). Based on the increasing number of COVID-19 cases and the high number of deaths, further research is deemed necessary. In this case, an effective treatment is needed to accelerate patient recovery. Two commonly used drugs are Remdesivir and Favipiravir. This study used the Kaplan-Meier method to evaluate the recovery time of COVID-19 patients based on two types of treatment: Remdesivir and Favipiravir. Survival analysis was conducted to compare the effectiveness of the two treatments in prolonging patient recovery time. The results showed a difference in effectiveness between the two types of treatment in terms of survival probability.
Co-Authors agus sugandha Agus Sugandha Agustini Tripena Annisa Wulansari Assana Dea Siahaan Audia Kirana Budi Pratikno Diah Paramita Amitarwati Diah Paramita Amitarwati Diah Paramita Amitarwati Diniatul Akmalina Diva Sabina Permatasari Flower of Your Dreams Yati Puty Glenn Brillian Putra Herman Fernando Guswanto, Bambang Hendriya Hanifah Nurrahmi Hasriati Hasriati Ihda Hasbiyati Isna Fingky Musita Jajang Jajang Jumadil Saputra Lisnawati Lisnawati Mashuri Mashuri Monica Dwi Kusumaningsih Mustafa Mamat Mustafa Mamat Nita Rulianah Nur Amel Fitriyan Nur Jannah Parameswari Sang Galuh Kamulyan Pramono Sidi Ratri Maharsi Silfina Nihayatul Islamiyyah Siti Rahmah Nurshiami Slamet Riyadi slamet riyadi Sukono Sukono Supriyanto Supriyanto Supriyanto Suroto Suroto Tri Ayu Mulyani Triyani Triyani Uni Febriani Valysha Alhamdaniya Rozak Putri Zalfa Diba Adzkia Zulfatul Mukarromah