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All Journal Journal of Mathematical and Fundamental Sciences Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Jurnal Eurekamatika Basis : Jurnal Ilmiah Matematika Al-Aqlu : Jurnal Matematika, Teknik dan Sains Indonesian Journal of Applied Mathematics Journal of Actuarial, Finance, and Risk Managment TeknoKreatif: Jurnal Pengabdian kepada Masyarakat
Rifky Fauzi
Program Studi Matematika, Jurusan Sains, Institut Teknologi Sumatera
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mathematics Physics Other

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Simulasi Terbentuknya Gelombang Permukaan Akibat Adanya Longsoran Bawah Laut (Metode Lax- Friedrich) Yenci Brika Enkekes; Rifky Fauzi
Indonesian Journal of Applied Mathematics Vol 2 No 2 (2023): Indonesian Journal of Applied Mathematics Vol. 2 No. 2 January Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/indojam.v2i2.530

Abstract

The problem studied in this paper is the formation of surface waves due to underwater landslides. The shallow water wave equation is employed to study the phenomenon. The equation is solved numerically by using the Lax-Friedrich method. The numerical result show that this method is able to simulate the generation of surface wave due to underwater landslide.
Analisis Prediksi Data Kasus Covid-19 di Provinsi Lampung Menggunakan Recurrent Neural Network (RNN) Akhdan Aziz Ghozi; Ayu Aprianti; Ahmad Dzaki Putra Dimas; Rifky Fauzi
Indonesian Journal of Applied Mathematics Vol 2 No 1 (2022): Indonesian Journal of Applied Mathematics Vol. 2 No. 1 April Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/indojam.v2i1.763

Abstract

This study aims to examine the architectural performance of the Recurrent Neural Network (RNN) model in predicting Covid-19 cases in Lampung Province. The RNN method is part of Deep Learning which will be used to model data on Covid-19 cases in Lampung Province from March 26, 2020 to March 28, 2021. The RNN model was chosen because the Covid-19 data is in the form of a time series and the advantages of RNN are that it can capture information on the data time series using multiple network layers which allow better modeling and resulting in high prediction accuracy. The data is divided into 3, namely active cases, recovered cases, and dead cases. After preparing the data, the 368 data were divided into 294 initial latih data and 74 test data. After latih on the data for each data, then a test is carried out on the data for each data as a reference for predicting the latest data. The most optimal results show the cumulative active case model with RMSE=0.0022; for cumulative recovery cases obtained RMSE = 0.0007; while the cumulative death cases obtained RMSE = 0.0012. Based on the modeling error, then make predictions on the three cases which results in RMSE = 0.001 for cumulative active cases; RMSE=0.0027 for cumulative recovery cases; and RMSE=0.001 for cumulative death cases.
Forecasting of Retirement Insurance Filled via Internet by ARIMA Models Lovena Louisa; Rifky Fauzi; Edwin Setiawan Nugraha
Journal of Actuarial, Finance, and Risk Management Vol 1, No 1 (2022)
Publisher : Journal of Actuarial, Finance, and Risk Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33021/jafrm.v1i1.3672

Abstract

Pension fund insurance is critical for everyone because it can guarantee a good life during retirement because retirement is a period when someone no longer gets a steady income. Technological advances make it easier for retirement insurance applications. By using ARIMA Models, we can predict the number of internet users who apply for retirement insurance via the internet, using the monthly data of the Social Security Administration from January 2008 to October 2020. The data used has a steady increasing trend with some seasonal components, so it needs to be removed first. ARIMA models use the assumption that the data is stationary, so the data must be tested using the ADF test command in R. After seeing the plotting of ACF and PACF, 9 ARIMA models are formed. ARIMA model is selected based on the smallest AIC. By using 95% confidence it can be concluded that ARIMA (9,1,9) is the best model for forecasting.
Pelatihan Pembuatan Laman Pekon Informatif Sebagai Sarana Promosi Potensi Lokal Wilayah Kota Agung Timur Fauzi, Rifky; Pribadi, Aswan Anggun; Edriani, Tiara Shofi; Mahkya, Dani Al; Listriani, Amalia; Mahrani, Dwi
TeknoKreatif: Jurnal Pengabdian kepada Masyarakat Vol 3 No 1 (2023): TEKNOKREATIF : Jurnal Pengabdian kepada Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LP2M), Institut Teknologi Sumatera, Lampung, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/teknokreatif.v3i1.780

Abstract

Sejak tahun 2003 pemerintah melalui Instruksi Presiden Nomor 3 Tahun 2003 tentang e-Government mendorong seluruh pelayanan publik agar dapat diakses secara 24 jam dari manapun dan kapanpun. Hal ini mendorong satuan pemerintahan terkecil yakni desa untuk dapat beradaptasi, salah satunya adalah dengan menyediakan laman desa yang dapat diakses oleh masyarakat. Fungsi lain dari laman desa adalah sebagai sarana mempromosikan potensi-potensi desa. Meski aturan mengenai digitalisasi layanan pemerintah ini telah bergulir sejak lama, beberapa desa (pekon) khususnya pekon-pekon di wilayah Kecamatan Kota Agung Timur belum memiliki laman desa. Padahal desa-desa tersebut memiliki banyak potensi baik kepariwisataan maupun hasil perkebunan dan perikanan. Untuk mendukung hal tersebut, kegiatan pengabdian berupa pelatihan pembuatan lama pekon menggunakan wordpress dilaksanakan agar desa-desa dapat memanfaatkan laman tersebut untuk mempromosikan potensinya masing-masing. Keberhasilan dari pelatihan ini diamati dengan memberikan ujian awal dan akhir. Hasilnya menunjukkan bahwa pelatihan ini memberikan peningkatan pengetahuan para peserta mengenai pemanfaatan wordpress untuk membangun laman pekon yang informatif.
Estimasi Parameter pada Model Matematis Perubahan Suhu Dinding Rumah menggunakan Algoritma Genetika Alkautsar, Muhammad Ammar; Fauzi, Rifky
Jurnal EurekaMatika Vol 12, No 1 (2024): Jurnal EurekaMatika
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jem.v12i1.72093

Abstract

This research focuses on the problem of temperature variation over 24 hours on house walls, modeled as a differential equation through Newton's law of cooling/heating. To describe this phenomenon accurately, a Genetic Algorithm is employed to estimate the parameters in the model.  This algorithm is valid to be used to model synthetic data (data generated from analytical formulas) because it produces a fairly small error, namely 0.1168. Subsequently, the Genetic Algorithm is used to estimate parameters in vector form, which are then compared with observed data. The Newton's cooling/heating model is solved using finite difference methods. The results indicate that the parameters vary over specific time intervals, showing both negative and positive changes, demonstrating that the walls undergo cooling and heating processes during certain periods. Furthermore, the model results show that this algorithm performs well, with a Root Mean Squared Error (RMSE) of 0.13105.Keywords: Finite Difference Method, Genetic Algorithm, Newton's Law of Cooling/Heating, Wall Heating Abstrak Pada penelitian ini dikaji masalah variasi suhu selama 24 jam pada dinding rumah yang dimodelkan sebagai persamaan diferensial melalui hukum pendinginan/pemanasan Newton. Untuk dapat menggambarkan fenomena tersebut, yakni dalam hal menentukan estimasi parameter pada model tersebut diperlukan Algoritma Genetika. Algoritma ini cukup valid digunakan untuk memodelkan data sintesis (data yang dibangkitkan dari formula analitik) karena menghasilkan error yang cukup kecil yakni sebesar 0.1168. Kemudian algoritma genetika digunakan untuk mengestimasi parameter dalam bentuk vektor yang dibandingkan dengan data hasil pengamatan. Dalam hal ini model pendinginan/pemanasan Newton diselesaaikan dengan metode beda hingga. Hasil penelitian menunjukkan bahwa parameternya bervariasi pada rentang-rentang waktu tertentu, khususnya adanya perubahan nilai negatif dan positif. Hal ini menunjukkan bahwa dinding mengalami proses pendinginan dan pemanasan pada rentang waktu tertentu. Lebih lanjut, hasil modelnya menunjukkan bahwa algoritma ini cukup baik yakni dengan Root Mean Squared Error (RMSE) sebesar 0.13105.
Analisis Pengaruh Kasus Covid-19 Terhadap Perjalanan Instansi XYZ Lampung Aliffia, Arsy; Fauzi, Rifky
Basis : Jurnal Ilmiah Matematika Vol. 3 No. 2 (2024): BASIS: Jurnal Ilmiah Matematika
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/basis.v3i2.1289

Abstract

Pandemi Covid-19 yang dimulai pada Maret 2020 telah memberikan dampak signifikan pada berbagai aspek kehidupan, termasuk mobilitas dan perjalanan dinas di instansi pemerintah. Studi ini bertujuan untuk menganalisis pengaruh kasus Covid-19 terhadap perjalanan dinas Instansi XYZ Provinsi Lampung yang terdokumentasikan dalam Surat Perintah Perjalanan Dinas (SPPD). Data yang digunakan dalam penelitian ini mencakup jumlah kasus Covid-19 di Provinsi Lampung dan Indonesia, serta jumlah SPPD di Instansi XYZ selama periode pandemi. Uji Kruskal-Wallis menunjukkan bahwa pengaruh tidak ada langsung pengaruh langsung antara kejadian Covid-19 dengan perjalanan dinas instansi XYZ Provinsi Lampung. Studi kemudian dilanjutkan dengan menggunakan analisis Cross Correlation untuk melihat keterkaitan jangka panjang dengan mempertimbangkan jeda waktu (lag). Hasil analisis menunjukkan bahwa terdapat korelasi negatif yang kuat antara kasus Covid-19 dan jumlah perjalanan dinas, yakni peningkatan kasus Covid-19 berbanding terbalik dengan jumlah perjalanan dinas. Selain itu, terdapat korelasi positif dengan jeda waktu empat bulan, yang menunjukkan peningkatan jumlah perjalanan dinas setelah empat bulan dari puncak kasus. Temuan ini juga konsisten dengan pola mobilitas masyarakat yang ditunjukkan oleh Google Mobility Index di tempat kerja Provinsi Lampung.
Numerical Simulation of Run-Up Wave Using Nonlinear Shallow Water Equations with Staggered Grid at Canti Beach, South Lampung Noor, Dear Michiko Mutiara; Faiqoh, Maya Himmah; Fauzi, Rifky
Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Vol. 21 No. 2 (2024): Sainmatika : Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/sainmatika.v21i2.16068

Abstract

Tsunamis, wave triggered by underwater earthquakes or volcanic eruptions, can achieve significant run-up heights upon reaching shore. Run-up refers to the maximum vertical distance a tsunami wave reaches above the normal sea level. This study employs a numerical model to simulate the run-up wave at Canti Beach, South Lampung Regency, during the 2018 Sunda Strait tsunami. The method approximates solutions to the shallow water model consisting of mass and momentum conservation equations using the finite difference method in staggered grid grids and incorporates the upwind method for nonlinear terms. Bathymetry data from GEBCO was projected in two dimensions using the haversine formula. The numerical scheme includes a wet-dry procedure for simulating run-up waves. Results indicate that waves with a 60-second period and 0.09-meter amplitude create a 40.0195-meter inundation area, although this amplitude is significantly lower than the observed data from the 2018 Sunda Strait tsunami. Additionally, a simulation with a 0.1-meter amplitude results in a 1.8299-meter run-up height, closely matching the observed data. This study demonstrates that nonlinear shallow water equations can effectively estimate run-up height and inundation area at Canti Beach.
PEMBAGIAN TUGAS APEL PAGI MINGGUAN PEGAWAI INSTANSI XYZ DENGAN MENGGUNAKAN PEWARNAAN GRAF BESERTA ANALISIS BEBAN PENUGASAN: Distribution Of Weekly Morning Call Assignments Of XYZ Agency Employees Using Graph Coloring And Assignment Load Analysis Diana, Ulfa; Fauzi, Rifky
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 1 (2025): Januari 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i1.60

Abstract

This study addresses the issue of the weekly morning roll call duty assignment at XYZ Agency. The allocation of morning roll call duties at XYZ Agency has been incidental, leading to uneven task assignments for employees. The author proposes a solution to this problem by implementing the Welch-Powell Algorithm on Graph Coloring to determine the allocation of morning roll call duties for XYZ Agency employees. This is achieved by representing each employee as a point, and the edges represent job similarities. The graph coloring results in this study produce 4 colors: red, green, blue, and purple, with connected points having different colors. The findings reveal that 20 employees participate in the roll call duty each month. The duty assignments are then made for six months and compiled into a task assignment table. Based on descriptive statistical results, each employee receives an average assignment of 4.68 times with a standard deviation of 1.38. Furthermore, the Levene's Test is employed to ensure the equality of workload among different employee job groups. The results indicate differences in the assignment workload among job groups
On the Interaction between Trichogramma chilonis and Jatiroto Flies with Stem Borer Pests in Sugarcane Plantation Fauzi, Rifky; Mufidah, Zunanik; Maretta, Gres; Edriani, Tiara Shofi; Rizka, Nela; Mukhaiyar, Utriweni; Utami, Riani; Haryani, Sri; Saefudin, Saefudin; Styaningrum, Amalia; Soewono, Edy
Journal of Mathematical and Fundamental Sciences Vol. 56 No. 3 (2024)
Publisher : Directorate for Research and Community Services (LPPM) ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.math.fund.sci.2024.56.3.3

Abstract

Pests in sugarcane plantations are a major cause of damage, which could lead to severe damage to the crop, reduction of sugar quality, and significant economic loss. One of the major pests known in sugarcane plantations is stem borer (Chilo sacchriphagus), which attacks the canes. Two primary parasitoids, Trichogramma chilonis, which predates the stem borer eggs, and the Jatiroto fly (Diatraeophaga striatalis), which predates the stem borer larvae, are discussed here. This paper presents a time-dependent ten-dimensional dynamical mathematical model consisting of four-stage stem borer compartments, three-stage Trichogramma compartments, and three-stage Jatiroto compartments. Simulations are presented to describe the phenomenon of Trichogramma predation, Jatiroto predation, and simultaneous predation of both predators. It is shown that the release rate of each predator and a combined release of two predators can significantly reduce the infestation levels to a tolerable level for sugarcane production. The oscillatory dynamics of the stem borers and the Jatiroto flies affected the release timing strategy based on the level of infestation in the field. The results are expected to help us better understand the predator-prey phenomenon in the field and improve the forecasting of infestations in the field.
Co-Authors Ahmad Dzaki Putra Dimas Akhdan Aziz Ghozi Aliffia, Arsy Alkautsar, Muhammad Ammar Ayu Aprianti Dani Al Mahkya Dear Michiko Mutiara Noor Diana, Ulfa Edriani, Tiara Shofi Edwin Setiawan Nugraha Edy Soewono Faiqoh, Maya Himmah Gres Maretta, Gres Listriani, Amalia Lovena Louisa Mahrani, Dwi Mufidah, Zunanik Pribadi, Aswan Anggun Rizka, Nela Saefudin Saefudin Sri Haryani Styaningrum, Amalia Tiara Shofi Edriani Utami, Riani Utriweni Mukhaiyar Yenci Brika Enkekes