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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 6 Documents
 1 
Search results for , issue "Vol 5, No 1 (2023)" : 6 Documents clear
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.

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