Jurnal Sintak
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 yang meliputi topik-topik sebagai berikut: Matematika: Aljabar, Matematika Komputasi, Matematika Diskrit, Matematika Terapan, Optimasi Statistika: Time Series, Categorical Analysis, Multivariate Analysis, Nonparametric Statistics, Econometrics, Data Mining, Spatial Data, Quality Control, Bayesian Analysis, Survey Sampel Analysis, Experiment Design, Reliability, Statistic Computation, Bootstrap. Aktuaria: Insurance Theory, Financial Analysis
Articles
42 Documents
PENGARUH HARGA, PELAYANAN DAN KELENGKAPAN OBAT TERHADAP KEPUTUSAN PEMBELI APOTEK
Risa Mustika;
Andini Setyo Anggraeni
JURNAL SINTAK Vol. 1 No. 2 (2023): MARET 2023
Publisher : LPPM-ITEBA
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The existence of pharmacies as health services and pharmaceuticals has an important role in the development of the current health sector, especially in the pandemic era. A good analysis of the pharmacy business is needed to find strategies that can be implemented to develop the business. One analysis that can be done is to analyze the factors that influence purchasing decisions. The factors to be analyzed are price, service and completeness. Data will be analyzed using multiple linear regression analysis. Based on the results of the analysis and discussion, it can be concluded that price has a negative effect on buyer decisions at Endar Farma Pharmacy with a drug price regression coefficient of 0.178; The service and completeness of the drug has a positive influence on the buyer's decision at Endar Farma Pharmacy, with a service regression coefficient value of 0.326 and a regression coefficient value of drug completeness of 0.401. The three variables above are very influential on the decision of Endar Farma Pharmacy buyers, this can be seen from the percentage obtained from these 3 variables of 54.3%.
FORECASTING PENGERJAAN BERKAS MENGGUNAKAN METODE ARIMA DAN SARIMA
Paulina Octavia;
Eko Sulistyono
JURNAL SINTAK Vol. 1 No. 2 (2023): MARET 2023
Publisher : LPPM-ITEBA
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The National Land Agency (BPN) is a non-ministerial government agency in Indonesia which has the task of carrying out governmental tasks in the land sector in accordance with statutory provisions. BPN was formerly known as the Agrarian Office. The formation of the Batam City Land Service is an implementing element of the Batam City Government in the field of Land Affairs which is led by a Head of Service who is under and responsible to the Mayor of Batam. The Batam City National Land Agency always carries out administrative processes starting from Monday to Friday. However, currently the Batam City BPN is serving a "Weekend Service" so that it can facilitate services that cannot be served Monday to Friday. The aim of this research is to predict incoming files and work on them in January 2023. The steps taken are calling the model, then estimating the ARIMA model, then doing proof and forecasting. The results obtained are the number of files being worked on is increasing every day.
ANALISIS OUTPUT HARIAN MESIN AETHEROS DENGAN UJI T SATU VARIABEL DI PT. PEGAUNIHAN TECHNOLIGY INDONESIA
Dian Islamiati Dian Islamiati
JURNAL SINTAK Vol. 2 No. 1 (2023): SEPTEMBER 2023
Publisher : LPPM-ITEBA
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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 mesin aetheros mampu mencapai rata-rata target output per harinya.
Markov Chain Analysis in Predicting Consumer Price Index for the Food, Beverage and Tobacco Sector in Jambi City
gusmi kholijah;
Fitriyani Fitriyani
JURNAL SINTAK Vol. 2 No. 1 (2023): SEPTEMBER 2023
Publisher : LPPM-ITEBA
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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
Perbandingan Model Time Series Pada Peramalan Inflasi Di Kota Batam
Widya Reza Widya;
Sanipar;
Andini Setyo Anggareni
JURNAL SINTAK Vol. 2 No. 1 (2023): SEPTEMBER 2023
Publisher : LPPM-ITEBA
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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
The PENGARUH EKONOMI DAN KEKERASAN DALAM RUMAH TANGGA TERHADAP PENINGKATAN PERKARA PERCERAIAN DI KOTA BATAM PADA TAHUN 2022: PENGARUH EKONOMI DAN KEKERASAN DALAM RUMAH TANGGA TERHADAP PENINGKATAN PERKARA PERCERAIAN DI KOTA BATAM PADA TAHUN 2022
Faradiba Jabnabillah
JURNAL SINTAK Vol. 2 No. 1 (2023): SEPTEMBER 2023
Publisher : LPPM-ITEBA
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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. Keywords: Economy; Domestic violence; Divorce
PENGARUH ATTANDANCE, DISCIPLINE, DAN LOST TIME PADA TINGGI RENDAHNYA OUTPUT LINE HIACE ROOF BACKDOOR Di PT X
Rahma Sarita;
vitri Aprilla Handayani
JURNAL SINTAK Vol. 2 No. 1 (2023): SEPTEMBER 2023
Publisher : LPPM-ITEBA
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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
ANALISIS PERBEDAAN KUANTITAS PRODUCT SALES ANTAR DEPARTMENT PERIODE BULAN JUNI 2023 PADA SALAH SATU CUSTOMER DI PT X
Jesica Hutagalung;
Sabarinsyah
JURNAL SINTAK Vol. 2 No. 1 (2023): SEPTEMBER 2023
Publisher : LPPM-ITEBA
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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 <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.
The Effect of The Effectiveness of Iot-Based Forest Fire System in Detecting Forest Fires on User Satisfaction
Manurung, Maryetha;
Rahmah, Hikmah;
Aziezah, Nur;
Irmansyah;
Widodo, Bayu
JURNAL SINTAK Vol. 2 No. 2 (2024): Vol. 2 No. 2 (2024): MARET 2024
Publisher : LPPM-ITEBA
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DOI: 10.62375/jsintak.v2i2.211
Studi ini bertujuan untuk menunjukkan pengaruh efektivitas sistem Forest Fire berbasis IoT dalam mendeteksi kebakaran hutan terhadap kepuasan pengguna serta menemukan korelasi di antara keduanya. Penelitian menerapkan metode kuantitatif dengan mengumpulkan data melalui pemberian kuesioner. Subjek penelitian terdiri dari peserta IT Festival Micro IT 2023 di Sekolah Vokasi University IPB, yang berlangsung pada hari Minggu, 27 Agustus 2023, di Kampus Baranangsiang IPB. Metode analisis data yang digunakan mencakup uji korelasi Pearson, regresi linier sederhana, uji koefisien determinasi, dan uji T. Temuan dari penelitian ini menunjukkan bahwa efektivitas sistem Forest Fire berbasis IoT dalam mendeteksi kebakaran hutan menunjukkan hubungan yang positif dan cukup kuat dengan tingkat kepuasan pengguna. Hal ini berarti semakin efektif sistem dalam mendeteksi kebakaran hutan, semakin besar kepuasan pengguna terhadap sistem tersebut.
The Application of The Problem Based Learning Model on Measurement Materials in Grade 3 of Elementary School
Ina Ulfa;
Riska rahmat kanigara
JURNAL SINTAK Vol. 2 No. 2 (2024): Vol. 2 No. 2 (2024): MARET 2024
Publisher : LPPM-ITEBA
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DOI: 10.62375/jsintak.v2i2.222
Kemampuan seorang guru dalam memberikan proses pembelajaran yang kurang tepat dan kemudian berdampak pada kurangnya minat belajar matematika siswa. Adapun tujuan dari penelitian ini yakni untuk mengetahui tingkat hasil belajar siswa setelah diterapkan Model Pembelajaran PBL (Problem Based Learning) pada mata pelajaran Matematika. Pada penelitian ini peneliti berupaya dalam meningkatkan kemampuan siswa dalam menyelesaikan masalah terutama pada pembelajaran matematika terutama pada materi pengukuran. Peneliti menggunakan metode penelitian deskriptif kualitatif. Subjek pada penelitian ini yaitu pada siswa kelas III SD Cikeruh 1. Lalu pada Teknik dalam pengumpulan data yang digunakan peneliti yaitu dengan wawancara, Observasi, dan Sumber literatur yang brelevan dengan yang dibahas peneliti. Teknik analisis data terdiri dari pengumpulan data, reduksi data, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa penerapan model pembelajaran berbasis masalah pada materi pengukur di SD Cikeruh 1, hampir semua siswa antusias dan berpartisipasi aktif dalam proses pembelajaran. Hal ini dibuktikan dengan kondisi kelas yang ramai dengan pertanyaan dan pendapat yang disampaikan oleh siswa. Selain itu, dari hasil pemecahan masalah hampir semua kelompok menjawab dengan tepat dan benar. Berdasarkan hal tersebut, dapat dikatakan bahwa penerapan model pembelajaran berbasis masalah dapat mempermudah dan mempercepat siswa dalam memecahkan masalah sekaligus memahami materi pembelajaran yang diajarkan.