Article Per Year (5 Year)
p-Index From 2020 - 2025
1.881
P-Index
This Author published in this journals
All Journal E-Journal Perdagangan Industri dan Moneter ESTIMASI: Journal of Statistics and Its Application Majalah Ilmiah Matematika dan Statistika (MIMS) Madani: Multidisciplinary Scientific Journal Multi Proximity: Jurnal Statistika Universitas Jambi Global Education Journal Journal of Demography, Etnography, and Social Transformation Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Mubarak, Fadhlul
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Penerapan metode ARIMA terhadap perkiraan harga saham pada perusahaan Bank Syariah Indonesia (BSI) Auliah, Umi; Rafidah, Rafidah; Mubarak, Fadhlul
e-Journal Perdagangan Industri dan Moneter Vol. 11 No. 1 (2023): e-Journal Perdagangan Industri dan Moneter
Publisher : Prodi Ekonomi Pembangunan Fakultas Ekonomi dan Bisnis Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/pim.v11i1.30923

Abstract

This study uses a quantitative research method that aims to apply time series graphics to Indonesian Sharia Banks. The right guess is the main information needed by investors in determining the next investment strategy, one of which is ARIMA (Autoregressive Integrated Moving Average). This method is a method that uses the present value and past value of the dependent variable to produce accurate short-term forecastes.This study aims to determine the stock prediction model for Bank Syariah Indonesia (BSI) companies using the Autoregressive Integrated Moving Average (ARIMA) method and to determine the results of this method. The arima method is used to solve seasonal time series. Data on total daily share prices of Bank Syariah Indonesia (BSI) for the 2020-2022 period totaling 1,095 days obtained from https//yahoo.finance and Bank Syariah Indonesia's annual financial reports.This type of research method is descriptive quantitative data source is secondary data. With the help of the R program syntax with the Best ARIMA forecasting model (0,0,0) with the results of research on stock price data for the 2023 period, it has increased compared to the 2020-2022 period.
Perkiraan harga saham pada Perusahaan Astra Internasional Tbk. menggunakan metode moving average Murfadiah, Elsa; Putra Hafiz, Ahsan; Mubarak, Fadhlul
e-Journal Perdagangan Industri dan Moneter Vol. 11 No. 1 (2023): e-Journal Perdagangan Industri dan Moneter
Publisher : Prodi Ekonomi Pembangunan Fakultas Ekonomi dan Bisnis Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/pim.v11i1.30925

Abstract

This study uses a quantitative research method that aims to apply time series charts to the shares of PT Astra International Tbk. The right guess is the main information needed by investors in determining the next strategy in investing, which is Exponential Moving Average method. This method is a time series method used to predict the future using historical data. Giving weights involves a period, so the longer the period we use, the less weighting the last value we use. With the abundance of existing data, a system that utilizes past data has been built, in other words, a time series model tries to use the past time series to predict, later the system will be useful to assist investors in predicting estimates of the value of the Equity Fund in the future. so as to determine the right strategy for investment.
Perkiraan harga saham pada perusahaan aneka tambang dengan metode double exponential smoothing Fadillah Nasution, Rizky; Rafidah, Rafidah; Mubarak, Fadhlul
e-Journal Perdagangan Industri dan Moneter Vol. 11 No. 1 (2023): e-Journal Perdagangan Industri dan Moneter
Publisher : Prodi Ekonomi Pembangunan Fakultas Ekonomi dan Bisnis Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/pim.v11i1.30929

Abstract

This study discusses forecasting using quantitative research methods that aim to apply time series charts to Aneka Tambang company stocks. The right guess is vert information needed by investors in determining the next strategy in investing, which is the Double Exponential Smoothing method. This method is a time series method used to predict the future using historical data. Giving weights involves a period, so the longer the period we use, the less weighting the last value we use. With the availability of existing data, a system is formed that utilizes past data where the time series model tries to use the past time series to predict, later the system is useful to assist investors in predicting estimates of the magnitude of the value in the future so that they can determine the right strategy for investment
Text Mining: Absolute Advantage Research at Scopus Mubarak, Fadhlul; Aslanargun, Atilla; Sundara, Vinny Yuliani; Nurniswah, Nurniswah
ESTIMASI: Journal of Statistics and Its Application Vol. 5, No. 2, Juli, 2024 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v5i2.21896

Abstract

This study aims to collect scopus indexed articles with the keyword absolute advantage in 2020, 2021, and 2022 (until July 15, 2022). In addition, we analyzed the text mining of several abstracts from these articles using the R software. we used 75 articles from top 3 journals that have most publications based on the keyword including the Journal of Cleaner Production, the Journal of Chemical Engineering, and the Journal of Applied Soft Computing. Based on data mining analysis, the word-cloud of each abstract automatically appears based on the frequency of each word that appears in the abstract.
Locf imputation for Astra Agro Lestari Tbk. (Indonesia) and Anadolu Group (Turkey) stock Mubarak, Fadhlul; Aslanargun, Atilla; Sundara, Vinny Yuliani
Majalah Ilmiah Matematika dan Statistika Vol 22 No 2 (2022): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v22i2.32305

Abstract

This study aims to apply time series graphs on stock of Astra Agro Lestari Tbk. and Anadolu Group with last observation carried forward (LOCF) imputation. The imputation was used because the data for the two companies had missing values on several dates. Missing value contained in the company Astra Agro Lestari Tbk. in Indonesia more than Anadolu Group in Turkey because of the difference in the number of holidays. Original data and data with complete dates are combined to form new data where missing values are seen on certain dates. The function used in the R program to form the graph is xts. However, the Date variable has a character class so it needs to be changed to the Date class. The xts function will error if the class is not changed. The modification also causes the horizontal axis of the graph to be replaced by the date. Based on the chart of stock prices and transaction volume of stock of the company Astra Agro Lestari Tbk. and Anadolu Group experienced increases, decreases, and is constant on several dates. Keywords: missing value, R programming, stock prices, transaction volume. MSC2020: 62M10, 91B84, 62-04
Analisis harga saham pada PT. BTPN Syariah Tbk dengan metode EMA (exponential moving average) Tahun 2020-2022 Wahyuni, Elina Decelita; Rafidah, Rafidah; Mubarak, Fadhlul
e-Journal Perdagangan Industri dan Moneter Vol. 11 No. 1 (2023): e-Journal Perdagangan Industri dan Moneter
Publisher : Prodi Ekonomi Pembangunan Fakultas Ekonomi dan Bisnis Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/pim.v11i3.28417

Abstract

This study uses a quantitative research method that aims to apply time series charts to the shares of Bank Syariah Tbk. The right guess is the main information needed by investors in determining the next strategy in investing, one of which is the Exponential Moving Average method. This method is a time series method used to predict the future using historical data. Giving weights involves a period, so the longer the period we use, the less weighting the last value we use.With the abundance of existing data, a system that utilizes past data has been built, in other words, a time series model tries to use the past time series to predict, later the system will be useful to assist investors in predicting estimates of the magnitude of the value in the future so that they can determine the right strategy for investent.
Penerapan Regresi untuk Prediksi Skor TOEFL(Studi Kasus: Pengabdian Masyarakat melalui TOEFL Prediction Test) Mubarak, Fadhlul; Sundara, Vinny Yuliani; Nurniswah, Nurniswah; Razi, Fakhrur
Jurnal Pengabdian Masyarakat Indonesia (JPMI) Vol. 2 No. 2 (2024): Desember
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/jpmi.v2i2.2559

Abstract

Test of English as a Foreign Language atau sering dikenal dengan istilah TOEFL adalah salah satu bentuk tes untuk mengetahui kemampuan Bahasa Inggris seseorang. Tes tersebut mengidentifikasi beberapa kemampuan diantaranya listening, structure, witten expression, reading, dll. Model regresi dapat diterapkan pada prediksi TOEFL prediction test. Skor listening dapat diprediksi dari banyaknya soal listening yang benar dikali 0,74 kemudian ditambahan 31,41. Selanjutnya untuk skor structure and written expression dapat diprediksi dari banyaknya soal structure and written expression yang benar dikali 0,93 yang kemudian ditambahkan 31,24. Setelah itu skor reading dapat diprediksi dari banyaknya skor reading yang benar dikali 0,72 kemudian ditambahkan 31,40. Total prediksi skor TOEFL prediction test adalah hasil penjumlahan skor listening, structure and written expression, dan reading. Skor tersebut kemudian dikali 10 lalu dibagi 3. Sehingga total skor TOEFL prediction test berada antara 310-677.
The Best Moving Average Smoothing for GSTAR Model with Missing Value Mubarak, Fadhlul; Sundara, Vinny Yuliani; Aslanargun, Atilla
Multi Proximity: Jurnal Statistika Vol. 3 No. 2 (2024): Multi Proximity: Jurnal Statistika
Publisher : Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/multiproximity.v3i2.32274

Abstract

This research identified the best imputation technique for the price of gold in Turkey, Saudi Arabia, and Indonesia which has been applied to the GSTAR model based on the smallest RMSE value. The moving average smoothing technique with k = 2, 3, 4, and 5 have been used in this study. However, the moving average smoothing technique with k = 3 is the best technique for importing gold price data during weekends in Turkey, Saudi Arabia, and Indonesia.
PODES: Sebuah Paket Pemograman Potensi Desa di Indonesia Mubarak, Fadhlul; Nurniswah, Nurniswah; Sundara, Vinny Yuliani; Ulma, Riri Oktari; Prasaja, Ahmad Syukron
DEMOS: Journal of Demography, Ethnography and Social Transformation Vol. 4 No. 2 (2024): Journal of Demography, Etnography and Social Transformation
Publisher : Pusat Kajian Demografi, Etnografi dan Transformasi Sosial

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/demos.v4i2.2786

Abstract

The study aims to introduce Village Potential Statistics (PODES) in the form of a computer programming package. PODES collects various information about potential (economy, security, health, employment, communication and information, sports, entertainment, development, community empowerment, education, socio-culture, transportation) and challenges (natural disasters, public health, environmental pollution, social problems, and security disturbances) faced by villages in Indonesia, especially Jambi Province.
Hubungan Timbal Balik antara Perguruan Tinggi dan Sekolah serta Masyarakat Rapiko, Rapiko; El Hilali, Husni; Usmar, Ali; Sundara, Vinny Yuliani; Zulyanty, Marni; Mardia, Ainun; Mubarak, Fadhlul; Nurniswah, Nurniswah
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 6 (2025): July 2025
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.16416809

Abstract

The purpose of this activity among them is implementing service to the community in the form of providing free mathematics study guidance for students of class VI of Nurul Khoir Private Elementary School, knowing the impact of service as well as knowing the barriers as well as knowing the influence of reciprocal relationship between the college and the community, the school. This dedication to the community consists of a team of lecturers and students of Mathematics Tadris Faculty of Education and Teachers of UIN Sultan Thaha Saifuddin Jambi. This devotion was implemented at SDN 133/IX Hill Baling. Dedication is done by providing free mathematics study guidance to the students of class VI for the preparation of facing the National Examination. This free study guidance was implemented over 12 meetings by conducting a pre-test at the first meeting and a post-test at the last meeting. These community service activities provide a virtuous reciprocal relationship between the college, school and community. Schools and communities get the knowledge and experience to prepare well for UN mathematics as well as colleges get appropriate curriculum related evaluation and adaptation in order to improve the students’ ability to face UN mathematics.
Co-Authors Ahmad Syukron Prasaja Aslanargun, Atilla Auliah, Umi Fadillah Nasution, Rizky Fakhrur Razi Gusmanely Z, Gusmanely Z Husni El Hilali Mardhotillah, Bunga Mardia, Ainun Marni Zulyanty, Marni Murfadiah, Elsa Nurniswah, Nurniswah Putra Hafiz, Ahsan Rafidah Rafidah Rapiko Rapiko Riri Oktari Ulma Sundara, Vinny Yuliani Usmar, Ali Wahyuni, Elina Decelita Yanova, Shally