cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Nina Valentika
Contact Email
dosen02339@unpam.ac.id
Phone
+6285814291973
Journal Mail Official
sm@unpam.ac.id
Editorial Address
Jl. Surya Kencana No. 1 Pamulang Barat - Tangerang Selatan, Banten
Location
Kota tangerang selatan,
Banten
INDONESIA
Jurnal Statistika dan Matematika (Statmat)
Published by Universitas Pamulang
ISSN : 26553724     EISSN : 27209881     DOI : 10.32493
Core Subject : Economy, Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Other
P-ISSN : 2655-3724 E-ISSN : 2720-9881 Jurnal Statmat UNPAM: Jurnal Statistika dan Matematika Universitas Pamulang is a means of publication of scientific articles and research with concentrations of Statistics, Pure Mathematics, Applied Mathematics, Computational Mathematics, Educational Mathematics, and other research articles related to Statistics and Mathematics. Mathematics Department, Faculty of Mathematics and Natural Sciences, University of Pamulang publishes this journal, since 2019, which scheduled periodically every six months (twice a year).
Arjuna Subject : Matematika - Matematika Terapan
Articles 114 Documents
 6   7   8   9   10 
PEMILIHAN MODEL TERBAIK PADA KASUS KEMISKINAN DI BEBERAPA WILAYAH DI JAWA TENGAH DENGAN ANALISIS DATA PANEL Agustifa Zea Tazliqoh; Lukmanul Hakim
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 4, No 2 (2022)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v4i2.27496

Abstract

Kemiskinan merupakan suatu permasalahan yang tidak pernah lepas dari negara berkembang, tak terkecuali Indonesia. Negara Indonesia dengan sumber daya alam yang berlimpah masih belum mampu untuk mengentaskan kemiskinan di Indonesia. Jawa tengah merupakan salah satu provinsi dengan jumlah penduduk yang cukup banyak dengan potensi perekonomian yang mendukung seperti bidang pertanian, kehutanan, industry, perguruan tinggi negeri maupun swasta yang cukup banyak tetapi masih belum mampu untuk menekan angka kemiskinan di Jawa Tengah. Sebagian wilayah di Jawa Tengah yang memiliki potensi sumber daya alam dan juga potensi industri kecil-sedang justru menjadi kabupaten dengan tingkat kemiskinan yang cukup tinggi. Tujuan penelitian ini yaitu untuk mendapatkan model terbaik untuk mengetahui faktor apa saja yang mempengaruhi kemiskinan di sebagian wilayah di Jawa Tengah dengan analisis data panel. Adapun peubah yang digunakan adalah persentase penduduk miskin (%) sebagai peubah respon dan kepadatan penduduk per km2 (%), tingkat pengangguran terbuka (%), dan angka melek huruf (%) sebagai peubah penjelas. Model yang terbaik untuk analisis kemiskinan di sebagian wilayah di Jawa Tengah adalah model pengaruh tetap. Angka melek huruf berpengaruh negatif sebesar -0,991045 terhadap tingkat kemiskinan di wilayah tersebut. Sedangkan tingkat pengangguran terbuka berpengaruh positif sebesar 0,338258 terhadap tingkat kemiskinan di wilayah tersebut.
PENENTUAN CURAH HUJAN MENGGUNAKAN RANTAI MARKOV DI BEBERAPA DAERAH PROVINSI BANTEN Ahmad Shulhany; Andi Fitriawati; Dina Prariesa; Yoshua Yeremy Budiman; Karina Ayudhia Sasmito
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 4, No 2 (2022)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v4i2.28077

Abstract

Rantai markov merupakan salah satu model proses stokastik yang menyatakan bahwa peluang keadaan yang akan datang , hanya dipengaruhi oleh peluang keadaan terdekat sebelumnya yaitu . Salah satu penerapan dari Rantai Markov adalah penentuan curah hujan berdasarkan data yang diperoleh. Pengamatan untuk Rantai Markov dengan tiga keadaan diperoleh dari website NASA Prediction of Worldwide Energy Resource. Data yang diperoleh adalah data curah hujan di beberapa daerah di Provinsi Banten, yaitu Kota Cilegon, Kota Serang, Kota Tangerang, Kota Tangerang Selatan, Kabupaten Serang, Kabupaten Lebak, Kabupaten Pandeglang, dan Kabupaten Tangerang. Dari data tersebut, ditentukan matriks transisi satu langkah yang diperoleh. Matriks transisi tersebut diolah menggunakan perkalian matriks biasa, memanfaatkan nilai eigen, serta rumus khusus untuk menghitung matriks transisi dengan n langkah. Penentuan distribusi peluang Rantai Markov  langkah dengan tiga keadaan dilakukan dengan pengamatan kekonvergenan peluang transisi.
ANALISIS PENGENDALIAN KUALITAS CELANA OLAHRAGA DENGAN MENGGUNAKAN METODE STATISTICAL QUALITY CONTROL (SQC) PADA PT. SAMI GRUP PUTRYANS Gerry Sastro; Mitha Hudriyah; Dewi Purnama Sari
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 5, No 1 (2023)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v5i1.24024

Abstract

The purpose of this study was to determine the level of damage that occurred and also to determine the factors that cause damage to the production. By using statistical aids in the form of check sheets, p control charts, histograms, and cause and effect diagrams. Starting with a check sheet to collect data to make it more neat and structured, the next step is to enter the data into histogram form to make it easier to present the data, then calculate using a p control chart to find out whether the damage is still within the control limits or not, then make a cause and effect diagram. to find out what factors cause damage to PT. Sami Putrians Group. The results of the analysis show that the damage is outside the control limits, this is shown in the results of the calculation of the damage with the criteria of dirty materials and missed stitches which still have points that are outside the UCL limit. The cause-and-effect diagram gives results regarding the factors that cause the most dominant damage, namely humans due to lack of thoroughness, lack of skills, lack of motivation, lack of firmness and lack of discipline, the second cause is material caused by the material used is below standard, the third is the environment because the environment is lacking comfortable and lack of lighting, the last is the engine factor because it is not carried out routine and appropriate maintenance on the machine used.Keywords: Check sheet, Diagram, Control chart. 
ANALISIS PENGENDALIAN KUALITAS CELANA OLAHRAGA DENGAN MENGGUNAKAN METODE STATISTICAL QUALITY CONTROL (SQC) PADA PT. SAMI GRUP PUTRYANS Gerry Sastro; Mitha Hudriyah; Dewi Purnama Sari
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 5, No 1 (2023)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v5i1.24024

Abstract

The purpose of this study was to determine the level of damage that occurred and also to determine the factors that cause damage to the production. By using statistical aids in the form of check sheets, p control charts, histograms, and cause and effect diagrams. Starting with a check sheet to collect data to make it more neat and structured, the next step is to enter the data into histogram form to make it easier to present the data, then calculate using a p control chart to find out whether the damage is still within the control limits or not, then make a cause and effect diagram. to find out what factors cause damage to PT. Sami Putrians Group. The results of the analysis show that the damage is outside the control limits, this is shown in the results of the calculation of the damage with the criteria of dirty materials and missed stitches which still have points that are outside the UCL limit. The cause-and-effect diagram gives results regarding the factors that cause the most dominant damage, namely humans due to lack of thoroughness, lack of skills, lack of motivation, lack of firmness and lack of discipline, the second cause is material caused by the material used is below standard, the third is the environment because the environment is lacking comfortable and lack of lighting, the last is the engine factor because it is not carried out routine and appropriate maintenance on the machine used.Keywords: Check sheet, Diagram, Control chart. 
PEMBENTUKAN PORTOFOLIO OPTIMAL PADA INDEKS SAHAM SYARIAH TERBARU DI PASAR MODAL INDONESIA - IDX SHARIA GROWTH (IDXSHAGROW) Himmatul Mursyidah; Syarif Abdullah; Sri Istiyarti Uswatun Chasanah; Miftahul Huda; Fajri Ikhsan; Sidik Susilo
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 5, No 1 (2023)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v5i1.29733

Abstract

Seeing the needs of capital market industry players, the Indonesia Stock Exchange (IDX) developed an Islamic stock index. The newest type of sharia stock index launched by the IDX is IDX Sharia Growth (IDXSHAGROW). Stock investment requires a strategy to obtain maximum returns with minimal risk, one of which is diversification in portfolio formation. This study aims to form an optimal portfolio on the latest Islamic stock index on the Indonesian capital market, namely IDX Sharia Growth (IDXSHAGROW). The model used is the single index diversification model. The data used is for the period December 1, 2021 to. November 30, 2022 with weekly frequency. The results showed that the 30 shares that are members of IDXSHAGROW have 14 candidate shares. Furthermore, by making a cut-off, 11 stocks were included in the optimal portfolio with each proportion, namely MAPI 25.67%, KLBF 22.04%, AKRA 13.28%, UNTR 12.16%, MPMX 8, 3%, BRMS 4.4%, INCO 3.6%, LPPF 2.93%, ELSA 2.59%, AGII 2.54% and MYOR 2.48%. The optimal portfolio expected return value is 0.0017568 with a variance value of 0.00245 and a standard deviation of 0.04954 at weekly frequency. From the analysis of optimal portfolio formation in this study, the results were quite profitable for investors. This can be seen from the expected return value of the portfolio which is higher than the market value with each risk.
SUKUK TABUNGAN SEBAGAI RETURN ASET BEBAS RISIKO PADA MODEL INDEKS TUNGGAL DALAM PEMBENTUKAN PORTOFOLIO OPTIMAL SAHAM JAKARTA ISLAMIC INDEX Sri Istiyarti Uswatun Chasanah
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 5, No 1 (2023)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v5i1.29734

Abstract

Sukuk (sharia bonds) are a profitable investment because they can provide higher returns compared to deposits. In addition, sukuk can also make investors feel safe with very low risk, and can even be considered a risk-free rate. This study uses the value of savings sukuk as a risk-free ratet (R_f) which is used to form a stock portfolio with the Single Index Model. The stocks used in this study are stocks that are included in the Jakarta Islamic Index (JII) for three periods. Based on data on the research range, namely June 1 2020-May 31 2021, a combination of stock proportions in the formation of an optimal portfolio is obtained using the Single Index Model as follows ANTM 38%, JPFA 31%, UNTR 23%, INCO 4% and TKIM 3%. From these proportions, a profit of 0.0188 and a risk of 0.0729 are obtained every week.
PEMODELAN KELUHAN KESEHATAN DAN INDEKS KEBAHAGIAAN DI INDONESIA TAHUN 2021 MENGGUNAKAN PENDEKATAN LOCAL POLYNOMIAL Ilham Faishal Mahdy
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 5, No 1 (2023)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v5i1.27380

Abstract

Dalam upaya peningkatan kesejahteraan penduduk yang berlandaskan pada kepuasan masyarakat, BPS melakukan pengukuran Indeks Kebahagiaan sejak tahun 2012. Saat ini Indeks Kebahagiaan masyarakat Indonesia di tahun 2021 mengalami peningkatan dari pengukuran sebelumnya di tahun 2017, meskipun kondisi pandemi Covid-19 masih melanda hingga saat ini yang menimbulkan keluhan kesehatan pada masyarakat. Penelitian ini dilakukan untuk melihat bagaimana pengaruh persentase keluhan kesehatan terhadap Indeks Kebahagiaan di Indonesia pada tahun 2021 dengan menggunakan model regresi nonparametrik Local Polynomial. Hasil penelitian menunjukkan pola fluktuatif yang cenderung menurun, yang berarti peningkatan keluhan kesehatan di masyarakat cenderung menyebabkan indeks kesehatan menurun.
CHURN ANALISIS PADA DATA PELANGGAN TELEKOMUNIKASI MENGGUNAKAN ENSEMBLE LEARNING Muthia Nadhira Faladiba; Rizqi Haryastuti
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 5, No 1 (2023)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v5i1.31934

Abstract

Intense competition in broadband services will create high opportunities for consumers to switch providers, such as conditions that arise in competition for SMS, telephone, and internet services. The churn rate is the percentage of consumers who stop subscribing to the service. Ideally, this churn percentage is only 5% – 10%, and if it exceeds this figure, it indicates the company's inability to retain customers. A high churn rate indicates a decline in the cellular operator's market share and affects the company's revenue. Based on these problems, it is necessary to analyze the churn behavior of broadband subscribers to determine the dissatisfaction factors of cellular telecommunications consumers. Then predictions are made for customers who tend to churn from provider companies and determine the characteristics of churn and stay customers. The ensemble method is used to detect churn, which consists of several methods, including random forest, boosting, and super learner. Random Forest is proven to produce the best classification method with an excellent ability to predict customer churn, which is 80.1%, with an average usage time of 3 years.
Penerapan Regresi Cox untuk Menganalisis Variabel yang Berpengaruh Terhadap Durasi Studi Mahasiswa Widyastuti, Rhoudhotul; Wulandari, Dewi; Prasetyowati, Dina
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 7 No 1 (2025)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v7i1.41948

Abstract

This research aims to obtain the Cox regression equation in managing student study duration data and to determine variables or factors that significantly influence student study duration. We used data from 2017 FPMIPATI (Fakultas Pendidikan Matematika, Ilmu Pengetahuan Alam dan Teknologi Informasi) UPGRIS (Universitas PGI Semarang) Mathematics Education study program students which consisted of four predictor variables including gender, cumulative achievement index, parents' educational background, and organizational participation. From the results of the survival analysis, it was found that the factor that had a significant influence on the duration of student studies was the cumulative achievement index.
Multidimensional Scaling Analysis Based on Factors Affecting Under-Five Malnutrition Cases in West Java Rachman, Hallen Naafi Aliya; Putri, Nisa Akbarilah; Hendrawati, Triyani
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 7 No 1 (2025)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v7i1.46533

Abstract

Malnutrition is a condition where the body's nutrition is below the average standard. Nutritional issues, particularly among toddlers, remain a serious problem in various provinces in Indonesia, including West Java. In 2022, 3.3% of toddlers in West Java experienced undernutrition, and 0.4% suffered from severe malnutrition. This study aimed to map 27 regencies/cities in West Java Province based on factors influencing toddler malnutrition in 2022, highlighting similarities among these areas. A statistical method, Multidimensional Scaling (MDS), was used to classify objects based on similar characteristics. This method illustrated the dispersion of observational units based on measured variables, creating a two-dimensional map. Nearby regencies/cities indicated similar malnutrition conditions among toddlers, suggesting that the same mitigation efforts could be applied in those areas. The analysis resulted in four quadrants. Red circles were used on the map to mark points that were very close. To test the validity, STRESS and R-Square values were calculated. The STRESS value of 0.012% indicates that the generated map is in the perfect category, demonstrating that this analysis has precise reliability and validity. The R-Square value of 99.76% shows that the variance of the data is well explained by the model. This indicates that the Multidimensional Scaling (MDS) model is acceptable for mapping purposes. The findings of this study serve as valuable information and a reference for the West Java provincial government to make more effective and targeted efforts in combating malnutrition.

Page 8 of 12 | Total Record : 114

 6   7   8   9   10 

Filter by Year

2019 2025


Reset
Filter By Issues
All Issue Vol 7 No 2 (2025) Vol 7 No 1 (2025) Vol 5, No 1 (2023) Vol 4, No 2 (2022) Vol 4, No 1 (2022) Vol 3, No 2 (2021) Vol 3 No 1 (2021) Vol 3, No 1 (2021) Vol 2, No 2 (2020) Vol 2, No 1 (2020) Vol 1, No 2 (2019) Vol 1, No 1 (2019) More Issue