cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Meksianis Ndii
Contact Email
meksianis.ndii@staf.undana.ac.id
Phone
+6281266806008
Journal Mail Official
meksianis.ndii@staf.undana.ac.id
Editorial Address
Department of Mathematics, Nusa Cendana University Jl Adisucipto Kampus Baru Penfui
Location
Kota kupang,
Nusa tenggara timur
INDONESIA
Jurnal Diferensial
Published by Universitas Nusa Cendana
ISSN : -     EISSN : 27759644     DOI : -
Core Subject : Economy, Health, Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Public Health
Jurnal Diferensial adalah jurnal sains yang bertujuan untuk menyebarluaskan hasil riset-riset ataupun kajian pustaka pada bidang ilmu matematika dan terapannya. Artikel-artikel pada jurnal ini difokuskan kepada bidang ilmu matematika dan terapannya. Ruang lingkup atau bidang ilmu yang diterima dijurnal ini (tetapi tidak terbatas pada) adalah Analisis, Aljabar, Teori Graf, Optimisasi, Riset Operasi, Statistik, Biomatematika.
Arjuna Subject : Matematika - Matematika Terapan
Articles 6 Documents
 1 
Search results for , issue "Vol 4 No 1 (2022): April 2022" : 6 Documents clear
ESTIMASI PARAMETER DISTRIBUSI BINOMIAL NEGATIF MENGGUNAKAN METODE INFERENSI BAYESIAN Laura Erlinda Laidat; Keristina Br Ginting; Ganesha Lapenangga Putra
JURNAL DIFERENSIAL Vol 4 No 1 (2022): April 2022
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v4i1.6130

Abstract

Parameter estimation is a form of inferential statistics. Parameter estimation consists of point parameter estimation and interval parameter estimation. In this study, point and interval parameter estimation of the Negative Binomial distribution will be carried out using the Bayes method. The Bayes method in this study utilizes the Beta distribution as the conjugate prior, the Uniform distribution as the non-conjugate prior, and the Jeffrey method as the non-informative prior. To evaluate the best estimator, the method used is to look at the smallest value of the posterior variance and the width of the credible Bayes interval. In a simulation study using R programming, the best estimator is the beta conjugate prior, because it has the smallest posterior variance value and the smallest credible Bayes interval width compared to the Uniform non-conjugate prior and Jeffrey's non-informative prior.
ANALISIS KEPUTUSAN DENGAN TEOREMA BAYES DARI POHON KEPUTUSAN Kori Junita Tefbana; Keristina Br Ginting; Rapmaida M Pangaribuan
JURNAL DIFERENSIAL Vol 4 No 1 (2022): April 2022
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v4i1.6135

Abstract

IMPLEMENTASI METODE TRIPLE EXPONENTIAL SMOOTHING DALAM MERAMALKAN PENERIMAAN CUKAI HASIL TEMBAKAU DI KPPBC TMP C BLITAR Susi Darmawaningsih; Rizka Rizqi Robby
JURNAL DIFERENSIAL Vol 4 No 1 (2022): April 2022
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v4i1.6564

Abstract

Forecasting is an important tool in effective and efficient planning. One of the time series methods in objective forecasting is the exponential smoothing method which is a procedure that continuously improves forecasting by averaging (smoothing = smoothing) the past value of a time series data in a decreasing way (exponential). The purpose of this research is to predict the amount tax receipt from tobacco at the Office of Supervision and Service of Customs and Excise Intermediate Customs Type C Blitar using the triple exponential smoothing method by finding the smallest error using MAD (Mean Absolute Deviation), MSE (Mean Square Error) and MAPE (Mean Absolute Percentage Error) which is tested with a constant value of . Excise on tobacco products is a state income that is managed through the mechanism of the state revenue and expenditure budget has a fairly important and strategic role in financing government programs and performance as well as development throughout the territory of the Unitary State of the Republic of Indonesia in a planned, orderly, safe, fair and sustainable manner, so that the prosperity and people's welfare. The implementation of mathematics to be applied to statistical data is very necessary especially to predict future state treasury receipts. For that in this research the Triple Exponential Smoothing method is used which uses a constant value of to . The results of this test produce the smallest error value with a constant value of α =0.1 with a MAPE result of 0,27%.
PENERAPAN PEWARNAAN GRAF PADA PENJADWALAN WORK FROM HOME (STUDI KASUS KANTOR PENGAWASAN DAN PELAYANAN BEA DAN CUKAI TIPE MADYA PABEAN C BLITAR) Amaliya Asyraful Hida; Rizka Rizqi Robby
JURNAL DIFERENSIAL Vol 4 No 1 (2022): April 2022
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v4i1.6570

Abstract

The Corona virus has been endemic in Indonesia since early March and has spread widely to almost all provinces in Indonesia which has resulted in changes in various aspects of human life. Various policies have been issued to minimize the spread of COVID-19, one of which is the implementation of PSBB (Large-Scale Social Restrictions), with the enactment of PSBB, this has resulted in disruption of community activities due to restrictions in various ways, one of which is work activities. The Blitar Customs Office implements Work From Home (WFH) with a minimum rule of 50 percent of people who carry out Work From Home (WFH). The preparation of the WFH (Work From Home) schedule is an example of scheduling that must be carried out by KPPBC TMP C Blitar, To solve the scheduling problem, an analysis will be carried out using graph theory, namely coloring, and processed with the Welch-Powell Algorithm. Welch-Powell algorithm can be used to color a graph G efficiently. From research conducted using the Welch-Powell algorithm to color WFH scheduling results in a more effective schedule. The results showed that the point coloring in the General Subdivision produced four colors with a chromatic number of 4, the point coloring in the Investigation and Investigation Section produced four colors with a chromatic number of 4, the point coloring in the Treasury Section produced 5 colors with a chromatic number of 5, the dot coloring in the KIP Section resulted in 4 colors with a chromatic number of 4.
PENERAPAN METODE FUZZY TSUKAMOTO DALAM PENENTUAN JUMLAH PRODUKSI ROTI (STUDI KASUS: DWI JAYA BAKERY KUPANG) Yunni Alvionita Adoe; Kornelis Letelay; Emerensye Sofia Yublina Pandie
JURNAL DIFERENSIAL Vol 4 No 1 (2022): April 2022
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v4i1.6790

Abstract

Dwi Jaya Bakery is a private business engaged in the production of food and bread. There are 4 types of bread in production that is: Small Chocolate Bread, Mocca Small Bread, Large Chocolate Fried Bread and Large Abon Bread. In this study the author applies the fuzzy tsukamoto method to determine the amount of bread production with 3 calculation stages is defining variables, inference and affirmation (defuzzification). The input variables used are demand and stock as well as the output variable is the amount of production. Production data obtained from Dwi Jaya Bakery industry is data from September 2018 - February 2019. For testing, the data used are 28 data for each type of bread is on the 1st to the 28th of february 2019, which has been added to the transformation equation and tested using the MAPE (Mean Absolut Percentage Error) where the error value will be searched for data on each type of bread. The error value obtained by applying the testing MAPE test method that has been added to the transformation equation for the type of small chocolate bread is 1,936786%, mocca small bread is 6,209643%, large chocolate fried bread is 3,886071% and large abon bread is 6,646429%.
ANALISIS REGRESI LOGISTIK UNTUK KASUS PENERIMAAN VAKSIN COVID-19 Maria R Jelita; Maria A Kleden; Astri Atti
JURNAL DIFERENSIAL Vol 4 No 1 (2022): April 2022
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v4i1.7356

Abstract

Covid-19 adalah penyakit yang disebabkan oleh virus yang sangat meresahkan masyarakat. Untuk mencegah agar tidak terjadi penambahan kasus, maka pemerintah mewajibkan Vaksin terhadap seluruh masyarakat. Namun masyarakat tidak begitu saja menerima aturan pemerintah. Tujuan dari penelitian ini adalah untuk mengetahui variable apa saja yang meyebabkan seseorang menerima vaksin serta besar nilai kecendrungan dalam menerima vaksin tersebut. Untuk bisa mengetahui kecenderungan masyarakat terhadap penerimaan atau penolakan terhadap adanya vaksin, dapat dilakukan dengan menggunakan analisis regresi logistik. Regresi logistik merupakan metode statistika yang diterapkan untuk memodelkan variabel respon yang bersifat kategori berdasarkan satu atau lebih variabel prediktor yang dapat berupa variabel kategori maupun kontinu. Hasil penelitian menjelaskan bahwa Kasus masyarakat Kecamatan Langke Rembong Kabupaten Manggarai terhadap penerimaan Vaksin Covid-19 dipengaruhi oleh faktor Kecemasan akan efek setelah penerimaan vaksin (X3), Ketersediaan Vaksin (X4), dan Pengetahuan tentang manfaat vaksin (X5). Masyarakat yang cemas akan efek setelah menerima vaksin Covid-19 cenderung menerima vaksin sebesar 0.128 kali dibanding yang tidak cemas, Masyarakat yang mengetahui tersedia vaksin cenderung menerima vaksin sebesar 3.694 kali dibanding masarakat yang wilayahnya tidak tersedia vaksin, dan Masyarakat yang mengetahui manfaat vaksin cenderung menerima vaksin Covid-19 sebesar 8.116 kali dibanding masyarakat yang tidak mengetahui manfaat vaksin.

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol 8 No 1 (2026): April 2026 Vol 7 No 2 (2025): November 2025 Vol 7 No 1 (2025): April 2025 Vol 6 No 2 (2024): November 2024 Vol 6 No 1 (2024): April 2024 Vol 5 No 2 (2023): November 2023 Vol 5 No 1 (2023): April 2023 Vol 4 No 2 (2022): November 2022 Vol 4 No 1 (2022): April 2022 Vol 3 No 2 (2021): November 2021 Vol 3 No 1 (2021): April 2021 Vol 2 No 2 (2020): November 2020 Vol 2 No 1 (2020): April 2020 Vol 1 No 1 (2019): April 2019 More Issue