https://journal.iteba.ac.id/index.php/jurnalsintak/issue/feed JURNAL SINTAK 2023-09-29T12:52:47+00:00 Vitri Aprilla Handayani, S.Si., M.Si vitri@iteba.ac.id Open Journal Systems <p>Jurnal Sintak merupakan jurnal yang dikelola oleh Program Studi Matematika Institut Teknologi Batam (ITEBA). Jurnal Sintak menjadi sarana dalam menyebarkan pengetahuan terkait teori maupun aplikasinya di bidang matematika, statistika, dan aktuaria yang diterbitkan dua kali setahun (September dan Maret). Jurnal Sintak menyambut naskah berkualitas yang dihasilkan dari lingkup matematika, statistika, dan aktuaria.</p> https://journal.iteba.ac.id/index.php/jurnalsintak/article/view/155 ANALISIS OUTPUT HARIAN MESIN AETHEROS DENGAN UJI T SATU VARIABEL DI PT. PEGAUNIHAN TECHNOLIGY INDONESIA 2023-09-29T00:41:04+00:00 Dian Islamiati Dian Islamiati dianislamiati2019@gmail.com <p><em>Penelitian ini bertujuan untuk membandingkan apakah terdapat perbedaan yang signifikan antara rata-rata output harian yang dihitung menggunakan statistik dengan nilai rata-rata output harian yang sudah diketahu berdasarkan asumsi. Data yang digunakan diambil dari hasil output produksi per tanggal 22 Mei 2023-19 Juni 2023. Analisis data menggunkan uji t satu variabel. Hasil menunjukkan bahwa ridak terdapat perbedaan antar perhitungan statistik dengan asumsi yang sudah ada. Dan dari hasil analisis&nbsp; mesin aetheros mampu mencapai rata-rata target output per harinya.</em></p> 2023-09-29T00:00:00+00:00 Copyright (c) 2023 Dian Islamiati Dian Islamiati https://journal.iteba.ac.id/index.php/jurnalsintak/article/view/165 Markov Chain Analysis in Predicting Consumer Price Index for the Food, Beverage and Tobacco Sector in Jambi City 2023-09-29T00:32:23+00:00 gusmi kholijah gusmikholijah@unja.ac.id Fitriyani Fitriyani ftryni18@gmail.com <p><em>The Consumer Price Index (CPI) is an economic indicator that can provide information regarding developments in prices of goods/services. CPI is one of the factors that can measure inflation. According to the information provided, inflation pressure is influenced by the food, beverage and tobacco sectors and is one of the mainstays in providing a major contribution to economic growth. Every month the CPI can increase or decrease so data from previous times is used to see predictions for the present so time series data is used. Prediction of CPI time series data can use one of the mathematical techniques, namely Markov chain analysis. Markov chain is a method that studies the properties of a variable in the present in an effort to estimate the properties of the same variable in the future, therefore Markov chain analysis is suitable for use in predicting CPI. In this research, it was applied to CPI data for January 2018 to June 2022. After conducting the analysis, it was concluded that in the following months the opportunity for CPI in categories above the basic price was greater than the opportunity above the basic price. So it is hoped that the results of this analysis can help the government stabilize the CPI in the Food, Miniman and Tobacco sectors</em></p> <p><em>&nbsp;</em></p> 2023-09-29T00:00:00+00:00 Copyright (c) 2023 gusmi kholijah, Fitriyani Fitriyani https://journal.iteba.ac.id/index.php/jurnalsintak/article/view/166 Perbandingan Model Time Series Pada Peramalan Inflasi Di Kota Batam 2023-09-29T00:30:05+00:00 Widya Reza Widya widya@iteba.ac.id Sanipar sanipar@iteba.ac.id Andini Setyo Anggareni Andini@iteba.ac.id <p><em>Inflation is a problem that disrupts the economy of every country, as well as developing countries such as Indonesia which is an agricultural country. To maintain the instability of the inflation rate, an alternative way that can be done is to forecast time series data. This study aims to predict the value of inflation that will occur in Batam City in the future so that this research is useful for taking appropriate action can be done. Seasonal time series analysis which is a forecasting method based on synthesis of historical data patterns. For data analysis, the author chose the help of Minitab software. The data used is secondary data in the form of monthly time series data, namely inflation rate data for Batam city from January 2014 to July 2022. Based on the results of the analysis, comparison of MSE values between SMA models, Multiplicativ and Additive, the best model is the Additive model, so that the model is what we use in forecasting</em></p> 2023-09-29T00:00:00+00:00 Copyright (c) 2023 Widya Reza Widya, Sanipar, Andini Setyo Anggareni https://journal.iteba.ac.id/index.php/jurnalsintak/article/view/167 The PENGARUH EKONOMI DAN KEKERASAN DALAM RUMAH TANGGA TERHADAP PENINGKATAN PERKARA PERCERAIAN DI KOTA BATAM PADA TAHUN 2022 2023-09-29T00:27:51+00:00 Faradiba Jabnabillah faradibanabillah@gmail.com <p><em>Divorce is the breaking of the marriage bond caused by several factors such as the economy and domestic violence. Therefore the authors are interested in conducting research to find out how much influence the economy and domestic violence have on the increase in divorce cases in the city of Batam. The research method used is a quantitative method with data collection techniques, namely secondary data from the Batam District Court. The classical assumption test and hypothesis test were carried out. The data analysis method was performed using multiple linear regression statistical tests. Based on the data analysis that has been done, it is known that the economy and domestic violence simultaneously affect the increase in divorce. But the economy partially does not affect the increase in divorce.</em></p> <p><strong><em>Keywords:</em></strong></p> <p><em>Economy; Domestic violence; Divorce</em></p> 2023-09-29T00:00:00+00:00 Copyright (c) 2023 Faradiba Jabnabillah https://journal.iteba.ac.id/index.php/jurnalsintak/article/view/171 PENGARUH ATTANDANCE, DISCIPLINE, DAN LOST TIME PADA TINGGI RENDAHNYA OUTPUT LINE HIACE ROOF BACKDOOR Di PT X 2023-09-28T16:19:58+00:00 Rahma Sarita Rahmasarita096@gmail.com vitri Aprilla Handayani vitri@iteba.ac.id <p><em>This study aims to determine whether there is a significant effect on attendance, discipline and lost time on the high and low output line hiace roof backdoor at PT Sumitomo Wiring System Batam Indonesia. This study uses multiple Linear Regression Analysis Techniques. The type of data used in this study is primary data. This primary data was obtained from a questionnaire distributed to PT Sumitomo Wiring System Batam Indonesia employees. The results of this study significantly indicate that attendance, discipline, and lost time have an effect on the high or low output line hiace roof backdoor</em></p> 2023-09-29T00:00:00+00:00 Copyright (c) 2023 Rahma Sarita, vitri Aprilla Handayani https://journal.iteba.ac.id/index.php/jurnalsintak/article/view/172 ANALISIS PERBEDAAN KUANTITAS PRODUCT SALES ANTAR DEPARTMENT PERIODE BULAN JUNI 2023 PADA SALAH SATU CUSTOMER DI PT X 2023-09-29T00:22:23+00:00 Jesica Hutagalung 2024021@student.iteba.ac.id Sabarinsyah sabar@iteba.ac.id <p><em>This study aims to see whether there are differences in the number of sales between departments to a customer at PT. XManufacturing Indonesia for one month. The data used is sales data to one of the customers in June 2023. The analysis used to test the data is the Analysis of Variance. The test results show a significance value of 0.039, so that the sig or P value &lt;0.05. So it can be concluded that there is a significant difference between the quantity of sales between departments. This is directly proportional to the ANOVA test conducted to determine the difference in average sales between departments.</em></p> 2023-09-29T00:00:00+00:00 Copyright (c) 2023 Jesica Hutagalung, Sabarinsyah