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Jose Rizal
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FMIPA Universitas Bengkulu JLWR Supratman Kelurahan Kandang Limun Kecamatan Muara Bangkahulu Kota Bengkulu
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Diophantine Journal of Mathematics and Its Applications
Published by Universitas Bengkulu
ISSN : -     EISSN : 2987906X     DOI : https://doi.org/10.33369/diophantine
Core Subject : Economy, Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering
The DJMA is published twice a year in June and December. This journal is managed by the Mathematics Department of Bengkulu University. The scope of this journal includes the fields of: 1. Mathematics 2. Applied Mathematics 3. Statistics 4. Applied Statistics 5. Computer Science.
Arjuna Subject : Matematika - Matematika Terapan
Articles 7 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2022)" : 7 Documents clear
Peramalan Jumlah Penumpang LRT Sumsel dengan Metode Exponential Smoothing Lailiyah, Riski Rahmatul; Agustiani, Riza
Diophantine Journal of Mathematics and Its Applications Vol. 1 No. 1 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/diophantine.v1i1.23994

Abstract

Forecasting is critical in the pandemic sector as part of the effort to adapt the post-pandemic system, particularly in transportation. This research carried out on the South Sumatra Integrated Railroad (LRT) in the post-pandemic Covid-19 period. Forecasting is done in this study using the exponential smoothing method using alpha that is α=0.1, α=0.5, and α= 0.9. Comparison with the smallest error using the exponential smoothing method dropped the choice at alpha 0.1 with the smallest error calculation value. Forecasting using the exponential smoothing method with 0.1 alpha sample data on the number of LRT Sumsel passengers during the Covid-19 period in 2020 produces a forecast of 66,538 passengers with an error rate of Mean Absolute Deviation (MAD)=9,486, Mean Square Error (MSE)=1,150, and Mean Absolute Percentage Error (MAPE)=24.58%. Meanwhile, from the sampel data on the number of South Sumatra LRT passengers on post-pandemic Covid-19 period in 2022, it produced a forecast of 187,566 passengers with Mean Absolute Deviation (MAD) = 25,816, Mean Square Error (MSE) = 9,477, and Mean Absolute Percentage Error (MAPE) = 16.60%.
Hubungan Persepsi Alumni Terhadap Kompetensi yang Dikuasai Dengan Kompetensi yang Dibutuhkan Dunia Kerja Meta Adilah; , Irmeilyana; , Ali Amran
Diophantine Journal of Mathematics and Its Applications Vol. 1 No. 1 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/diophantine.v1i1.25200

Abstract

The tracer study is a survey whose main object of research is graduates to evaluate the competitiveness of graduates on the relevance of competence to the needs of the world of work. This study aims to determine the tendency of differences in alumni perceptions on the level of mastered competence and the level of competence required by the world of work. This research data is in the form of answers to the 2020 tracer study questionnaire questions obtained from CDC Unsri. The research respondents were FMIPA graduates in 2018. This study uses the Wilcoxon test and correspondence analysis. The Wilcoxon test results show that there are 7 competency items that need to be improved to match the competencies needed by the world of work, namely: Knowledge in the field of science, knowledge outside the field of science, general knowledge, critical thinking skills, working independently, loyalty, and writing skills in reports, memos and documents. The results of the correspondence analysis show that for each competency item there is a relationship between the alumni's perception of the level of competence mastered and the level of competence needed by the world of work.
Identifikasi Tema Perbincangan Masyarakat Tentang Vaksinasi Covid-19 di Media Sosial Cici Suhaeni; , Bagus Sartono
Diophantine Journal of Mathematics and Its Applications Vol. 1 No. 1 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/diophantine.v1i1.25216

Abstract

Informasi mengenai vaksin covid-19 dan program vaksinasi pemerintah merupakan isu yang mendapat perhatian besar masyarakat dan menjadi perbincangan utama di media sosial, termasuk twitter. Beragam tema dan sudut pandang telah disampaikan oleh masyarakat, dan penelitian ini berupaya mengidentifikasi opini apa saja yang berkembang. Pengetahuan ini dapat menjadi masukan bagi pemerintah dan pemangku kepentingan lain untuk secara bersama membantu proses pemulihan dampak pandemi. Identifikasi opini masyarakat mengenai vaksin covid-19 dilakukan menggunakan metode text clustering terhadap tweets hasil crawling data di Twitter dalam kurun waktu 1 s.d 7 Agustus 2021. Hasil analisis menunjukkan terdapat enam tema besar yang menjadi isu perbincangan yaitu: (1) Kepercayaan terhadap efek vaksin, (2) keikutsertaan dalam vaksinasi untuk mencegah terpapar covid, (3) vaksinasi sebagai upaya herd immunity, (4) keampuhan vaksin melawan virus, (5) jenis-jenis vaksin (6) riset medis tentang.
Komparasi Penggunaan Matriks Kebalikan Leontief & Ghosian Untuk Peramalan Dalam Model Input Output Kurniawan, Budi; Kristiarini, Susiawati
Diophantine Journal of Mathematics and Its Applications Vol. 1 No. 1 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/diophantine.v1i1.25703

Abstract

This study is an empirical study that compares the use of two types of inverse matrices in the input output model. The Input Output (IO) model is based on a system of mathematical equations that applies general equilibrium phenomena. The matrix operating system in the equation derived from the IO model allows the Output value (X) to be calculated as an effect of the final demand induction (F) with the formulation X=(I-A)-1F where A is the technical coefficient matrix. This equation model uses the Leontief Inverse Matrix to calculate the impact of output with final demand (F) as a stimulant. Calculation of the impact of the stimulus from the supply side such as added value and the value of intermediate inputs originating from imports (V) uses the Ghosian Inverse Matrix in the equation X=(I-AT)-1V where AT is the usage coefficient matrix. The data used in this study comes from the Bengkulu Province Input Output Tables in 2000 and 2016, each of which has been collected in a common set to see comparability between years of observation. Forecasting results with both types of approaches produce different levels of accuracy for each observation period.
Penerapan Support Vector Machine Dalam Peramalan Nilai Tukar Petani Provinsi Bengkulu Sitohang, Yosep Oktovianus
Diophantine Journal of Mathematics and Its Applications Vol. 1 No. 1 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/diophantine.v1i1.25793

Abstract

Pertanian masih menjadi sektor dominan di Provinsi Bengkulu, oleh sebab itu sasaran pembangunan disektor ini, khususnya kesejahteraan petani perlu mendapat perhatian lebih. Salah satu indikator kesejahteraan petani adalah Nilai Tukar Petani (NTP). Agar pembangunan tepat sasaran diperlukan perencanaan menggunakan kajian nilai NTP dimasa depan, sehingga metode peramalan dibutuhkan. Metode konvensional yang sering digunakan adalah ARIMA, namun metode ini memiliki banyak keterbatasan. Teknik Machine Learning yang berkembang di era Soceity 5.0 menjadi alternatif solusi dari permasalahan tersebut. Salah satu metode terbarunya untuk peramalan data deret waktu adalah Support Vector Machine (SVM). Dari hasil penghitungan didapat MAPE sebesar 8,55, termasuk dalam highly accurate forecasting sehingga SVM layak digunakan dalam peramalan.
Kondisi Tenaga Kerja Di Provinsi Bengkulu Di Tengah Pandemi Covid-19 Nani Sumarni
Diophantine Journal of Mathematics and Its Applications Vol. 1 No. 1 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/diophantine.v1i1.25854

Abstract

One of which its impact the Covid-19 is job availability. This study aims to analyze the unemployment rate in Bengkulu Province, especially during the Covid-19 pandemic. This research is quantitative with a descriptive statistical approach. The data source used is secondary data from the Central Bureau Statistics for 2017-2020. The results of this study state that the Covid-19 pandemic has an influence in a decrease in the number of businesses by 0,86 percent. Two sectors, which are trade and agriculture sectors, became the people's main choice to survive during the pandemic, compared to the industrial sector which has been most significantly affected by the pandemic. In line with that, the population working as family workers/unpaid workers increased to 3,71 percent. The results of the analysis of the data for the last four years show that in terms of education completed, the employment is still dominated by people with low education, that reached 78,27 percent. However, among the three graduates, high school graduates are the most not being absorbed in the world of work. Meanwhile, the number of unemployed people with diploma education has actually decreased.
Mengukur Kelayakan Angka Kemiskinan Kabupaten/Kota di Provinsi Bengkulu Periode Maret 2020 Fatmasari Damayanti
Diophantine Journal of Mathematics and Its Applications Vol. 1 No. 1 (2022)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/diophantine.v1i1.25855

Abstract

Survey quality is affected by two types of errors, namely non-sampling errors and sampling-related errors. One measure commonly used to measure the accuracy of the parameters is standard error (SE). If SE is divided by the statistical value and expressed as a percent, the Relative Standard Error (RSE) is obtained. In addition, another measure used to measure the quality of survey results is the design effect (DEFF). The Poverty Rate is one of the figures generated from the National Economic Survey. This study aims to calculate the RSE and DEFF of the Regency/City Poverty Rates in Bengkulu Province for the March 2021 period using the R software. This means that the quality of the estimation results of the City district poverty rate in Bengkulu Province for the March 2020 period is accurate and feasible to use. However, the resulting DEFF value is more than 1, which means that the survey design used is less efficient because it produces a higher SE value than if using a simple random sampling design.

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