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Prediction analysis of the length of time for changes in the status of positive patients for covid-19 delta and omicron variants using the markov chain model Dwi Haryanto; Fida Fathiyah Addini
Desimal: Jurnal Matematika Vol 5, No 2 (2022): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (439.521 KB) | DOI: 10.24042/djm.v5i2.13567

Abstract

In this research, a Markov chain model was constructed from the conditions that might be experienced by the people during the Delta or Omicron variant of the COVID-19 pandemic. This condition is divided into 3 states; "0" indicates a healthy condition, "1" indicates the state of being infected with COVID-19, and "2" indicates the death state. Furthermore, from the model obtained, a transition probability matrix is made to determine the transition probability value and calculate the average number of steps needed to get to the death state. From the results of the analysis, the probability of transition to a state of death is 1. This shows that a person will surely die from being healthy or positive for COVID-19 within a certain time. During the Delta variant of the COVID-19 pandemic, the average time that a person reaches a death state from a healthy state is 34.02 years. Meanwhile, the average time taken for someone infected with the Delta variant of COVID-19 to death is 33.79 years. During the Omicron variant of the COVID-19 pandemic, the average time that a person reaches a death state from a healthy state is 37.63 years. Meanwhile, the average time taken for someone infected by the Omicron variant of COVID-19 to death is 37.41. This shows that the average age of a person infected with the Delta variant of COVID-19 has decreased by 2.79 months, while the average age of a person infected with the Omicron variant of COVID-19 has decreased by 2.70 months.
Menumbuhkan Bisnis Digital dengan “Grow with Google” Implementasi Teknologi Era Pandemi Covid-19: Growing Digital Business by “Grow with Google” Implementation of Technology in the Era of Covid-19 Pandemic Fanny Novika; Fida Fathiyah Addini
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 7 No. 6 (2022): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v7i6.3814

Abstract

The Covid-19 pandemic that occurred in Indonesia had an impact on various sectors. The decline in activity and changes to digital systems due to the pandemic are the main factors causing the impact on society. One of the sectors affected is the business sector. Not a few businesses were forced to close because they were unable to deal with changes to the digital system. Google as the largest technology company has a product in the form of training for business people for free. Google also offers the appearance of a business profile in search results or maps. This activity aims to provide literacy and assist business people to improve their competence in using Google products. Literacy is carried out as the initial foundation for business people regarding the basics of digital marketing. Competency improvement is achieved by participating in skills training from Google and applying business profile media, maps search, and advertising media. The results of this activity indicate that the final knowledge of the participants about digital marketing is quite good and there is additional knowledge about business-related products from Google. In addition, one of the selected business owners has been assisted in successfully using business-related products from Google and advertising on Google.
Literasi Profesi Aktuaris pada Siswa Sekolah Menengah Atas dalam Rangka Pemenuhan Kebutuhan Industri Fida Fathiyah Addini; Fanny Novika
Media Abdimas Vol 2 No 1 (2023): Jurnal Media Abdimas Vol 2 No 1 Bulan Maret 2023
Publisher : Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (966.03 KB) | DOI: 10.37817/mediaabdimas.v2i1.2672

Abstract

Seiring dengan pertumbuhan ekonomi, khususnya di Indonesia, kebutuhan aktuaris semakinmeningkat. Namun, tingginya kebutuhan profesi aktuaris dan daya tarik berupa gaji yang tinggitidak disertai dengan pemenuhan jumlah aktuaris. Kekurangan tersebut diakibatkan kurangnyaliterasi mengenai profesi aktuaris dan program studi Aktuaria, khususnya pada siswa sekolahmenengah atas yang akan melanjutkan kuliah. Oleh karena itu, perlu dilakukan literasi mengenaiaktuaria kepada siswa sekolah menengah atas. Kegiatan literasi ini dilakukan bersama mitraKecamatan Banyuresmi, Kabupaten Garut, dengan metode pemberian literasi. Literasi dilakukandengan tujuan memberikan pengetahuan kepada siswa sekolah menengah atas mengenaikebutuhan profesi aktuaris di dunia industri dan keberadaan program studi Aktuaria. KegiatanLiterasi Profesi Aktuaris dilaksanakan secara luring di MA Baitur Rohmah Muhammadiyah dan diSMK Al Ghifary. Setelah berakhirnya kegiatan, tim pengabdian melakukan evaluasi denganmemberikan kuisioner kepuasan kepada para guru dan kepala sekolah MA Baitur RohmahMuhammadiyah dan SMK Al Ghifary. Berdasarkan hasil kuisioner, sebanyak 67% menyatakansengat setuju bahwa kegiatan literasi yang dilakukan sudah memberikan bekal pengetahuan kepadapara siswa dan sebanyak 33% menyatakan setuju bahwa kegiatan literasi yang dilakukan sudahmemberikan bekal pengetahuan kepada para siswa.
Klasifikasi Tingkat Risiko Kerugian Kecelakaan berdasarkan Karakteristik Pengemudi dengan Analisis Regresi Logistik Ordinal Fida Fathiyah Addini; Dwi Haryanto; Rukaesih A Maolani
Jurnal Matematika Integratif Vol 18, No 2: Oktober 2022
Publisher : Department of Matematics, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (294.169 KB) | DOI: 10.24198/jmi.v18.n2.41317.167-177

Abstract

Pengemudi kendaraan bermotor dapat mengalami kecelakaan yang dapat mengakibatkan luka, cedera, patah tulang bahkan kematian. Tingkat kerugian yang mungkin diderita pengemudi kendaraan dapat dibagi menjadi beberapa tingkatan, seperti kerugian ringan, sedang, dan berat. Kecelakaan pada pengemudi kendaraan dipengaruhi oleh faktor manusia (internal) dan faktor kendaraan dan lingkungan (eksternal). Risiko akibat kecelakaan kendaraan bermotor untuk pengemudi dengan karakteristik yang berbeda pada umumnya tidak akan sama. Tingkat kerugian yang mungkin dialami dipengaruhi oleh karakteristik pengemudi dimana beberapa individu lebih cenderung menunjukkan perilaku mengemudi yang tidak aman dibandingkan yang lain. Dalam penelitian ini, digunakan variabel dependen tingkat kerugian material; kerugian material ringan, sedang dan berat. Selain itu digunakan variabel independen jenis kendaraan, jenis kelamin, tingkat pendidikan, pekerjaan, agama dan usia. Analisis dilakukan dengan metode regresi logistik ordinal menggunakan data kecelakaan lalu lintas di Kabupaten Klungkung Provinsi Bali. Berdasarkan hasil penelitian, variabel independen jenis kendaraan, jenis kelamin, tingkat pendidikan, agama dan usia berpengaruh terhadap tingkat kerugian material dengan ketepatan klasifikasi 76,27%.
PELATIHAN MICROSOFT EXCEL UNTUK REMAJA DI DESA SEGARA MAKMUR Fida Fathiyah Addini; Dwi Haryanto
Jurnal Pengabdian Masyarakat Multidisiplin Vol 6 No 3 (2023): Juni
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/jpm.v6i3.3310

Abstract

Kemampuan dasar dalam menggunakan komputer atau laptop perlu dimiliki masyarakat, khususnya dalam menghadapi era industri 4.0. Microsoft Excel adalah salah satu perangkat lunak komputer yang dapat digunakan dalam berbagai bidang, khususnya dalam pengolahan data. Salah satu cara mempelajari Microsoft Excel adalah melalui pelajaran di sekolah tingkat SMP atau SMA. Namun pembelajaran tersebut belum merata, karena adanya penduduk yang tidak melanjutkan pendidikan ke tingkat SMP atau SMA, kurangnya tenaga pengajar di bidang komputer atau terbatasnya sarana prasarana komputer sekolah. Hal ini sangat disayangkan karena Microsoft Excel adalah salah satu perangkat lunak yang paling dibutuhkan di berbagai industri pekerjaan, baik untuk pengolahan data yang besar atau pekerjaan administrasi sederhana. Pemahaman Microsoft Excel penting bagi masyarakat dan sebaiknya dipelajari sejak remaja, agar proses pembelajaran dapat berjalan lebih cepat. Pengabdian ini bertujuan memberikan literasi dan pelatihan dalam menggunakan perangkat lunak Microsoft Excel, bagi masyarakat remaja usia 12-18 tahun di Desa Segara Makmur, Kabupaten Bekasi. Remaja-remaja tersebut memiliki kemampuan atau pengetahuan yang berbeda, sehingga materi pelatihan dibuat menjadi 2 tingkatan materi. Formula atau operasi dasar Microsoft Excel yang diajarkan pada kedua tingkatan materi serupa, namun contoh perhitungan dan penerapan yang diajarkan berbeda. Luaran dari kegiatan ini adalah remaja usia 12-18 tahun dapat mengetahui dan menerapkan formula-formula dasar Microsoft Excel dalam perhitungan matematika atau statistika tingkat sekolah. Kemampuan tersebut menjadi bekal awal pemahaman remaja terhadap penggunaan Microsoft Excel.
Implementation of the Labor Laws in Indonesia for Formulation of Pension Reserves Fanny Novika; Fida Fathiyah Addini; Dedi Kusdani
International Journal of Science and Society Vol 5 No 3 (2023): International Journal of Science and Society (IJSOC)
Publisher : GoAcademica Research & Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/ijsoc.v5i3.759

Abstract

This study aims to modify the calculation of severance reserves, the benefits of which are paid in accordance with Law number 6 of 2023 concerning Stipulation of a Substitute Law on Job Creation. This study seeks to modify the Projected Unit Credit calculation technique by considering Pension Constant which consists of Pension Factor, Work Term Reward Factor and Entitlement Compensation Pay Factor. In this research, the calculation of severance reserves is applied to PT A which has 24 permanent employees with an average age of employees is 29.67 years and the average work term is 5.83 years. The employee's salary during the valuation period has an average of IDR 2,776,214. This research tries to find the work mortality based on the number of working population and laid-off workers in Indonesia to be the basis for termination probability. The interest rate used in this research is the average return on bonds published by the Indonesian Bond Pricing Agency (IBPA) in five years, which is 0.063467. This research used TMI IV to define the probability of survival and death. This assumption can be used for all companies to maintain the company's financial stability by allocating reserves to pay severance pay in three possible cases, namely severance benefits upon retirement, severance benefit if employee leaves the company between valuation year and severance benefit if employee dies between the valuation year. Based on the calculation results, the reserve that needs to be stored is Rp. 1,186,723,329.18
REGRESSION ANALYSIS: RELATIONSHIP BETWEEN COVID-19 VACCINATION AND POSITIVITY RATE IN INDONESIA Fida Fathiyah Addini
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (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.v4i2.335

Abstract

Covid-19 has become a global epidemic since it first emerged in late 2019. Indonesia has made various efforts to prevent Covid-19, both through government policies and mass vaccination. Vaccine availability in mass vaccination policies is not sufficient because vaccines must be well accepted by the general public. One way to gain public trust is to make the impact of vaccination transparent by modeling its impact on the proportion of Covid-19 positive cases. In this study, we performed modeling using two main data sets. The first data is the number of people who received the first or second vaccine between July 1, 2021 and January 1, 2022. The second data is the positive rate (%) from July 15, 2021 to January 15, 2022. The results of this study show that increasing the proportion of the population vaccinated against Covid-19 with both 1st and 2nd doses can reduce the prevalence of Covid-19 cases in Indonesia. Moreover, increasing the proportion of second vaccinations further reduces the prevalence of Covid-19 cases compared to increasing the proportion of first vaccinations
Pengaruh Faktor Lingkungan dan Paparan Informasi terhadap Keputusan Penggunaan Pinjaman Online di Kalangan Remaja (Studi Kasus Mahasiswa Aktif STMA Trisakti) Dinda Ayu Lestari; I Made Indra P; Fida Fathiyah Addini
Innovative: Journal Of Social Science Research Vol. 4 No. 1 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i1.2725

Abstract

Pada industri keuangan, perkembangan teknologi menimbulkan banyak inovasi baru, salah satunya adalah online peer to peer lending atau pinjaman online. Penelitian ini bertujuan untuk menganalisis faktor lingkungan dan paparan informasi yang mempengaruhi keputusan penggunaan pinjaman online. Penelitian ini menggunakan model analisis regresi dengan sampel 231 responden mahasiswa aktif STMA Trisakti. Variabel bebas yang digunakan adalah faktor lingkungan (X1) dan paparan informasi  (X2), variabel terikat yang digunakan yaitu keputusan penggunaan pinjaman online (Y). Hasil penelitian menunjukan variabel X1 dan X2 memiliki pengaruh terhadap variabel Y, baik secara parsial (sendiri) maupun simultan (bersama-sama). Hasil uji koefisien determinasi adalah sebesar 64,4% yang berarti bahwa variabel faktor lingkungan dan paparan informasi mempunyai pengaruh sebesar 64,4% terhadap keputusan penggunaan pinjaman online.