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Frangky Silitonga
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jurnalsintak@iteba.ac.id
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ITEBA - Institut Teknologi Batam The Vitka City Complex Jl. Gajah Mada, Tiban, Batam, Kepulauan Riau, INDONESIA 29425 Phone : +62 778 3540889
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INDONESIA
Jurnal Sintak
Published by Institut Teknologi Batam
ISSN : 29633605     EISSN : 29633125     DOI : -
Core Subject : Science, Education, Engineering,
Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Mathematics
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
Arjuna Subject : Matematika - Matematika Diskrit dan Kombinatori
Articles 48 Documents
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Implementation of A Contemporary Model Between Trading Volume, Bid-Ask Spreads, And Stock Return Volatility (Case Study : The Business-27 Index) Agung, Andi; Zaqiyah, Arfatuz; Rozikin, Muhammad; Wafa, Moh. Shohibul; Nuha, Agusyarif Rezka
JURNAL SINTAK Vol. 2 No. 2 (2024): Vol. 2 No. 2 (2024): MARET 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v2i2.223

Abstract

Artikel ini memuat analisis hubungan antar variabel perdagangan saham yakni volume perdagangan, bid-ask spreads, dan volatilitas return saham dalam ruang lingkup dua hipotesis utama yakni the mixture of distribution hypothesis (MDH) dan the sequential information arrival hypothesis (SIAH). Hasil perhitungan mengidentifikasi bahwa pada sebagian besar saham terdapat hubungan kontemporer positif antara volume perdagangan terhadap voltilitas return tidak cukup bukti mendukung teori MDH.
The Impact of Online Sales on The Sustainability of Conventional Traders in Sekupang District, Batam City Harahap, Diana Sari; Betricia , Jesicca; Rahayu , Sri; Jonathan, Steven; Sihombing, Urianto; Handayani, Vitri Aprilla; Handayani, Lilies
JURNAL SINTAK Vol. 2 No. 2 (2024): Vol. 2 No. 2 (2024): MARET 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v2i2.243

Abstract

Pedagang konvensional adalah individu atau kelompok yang sedang berada di suatu lokasi terbuka terjadi kegiatan transaksi jual beli dengan memungkinkan proses tawar-menawar. Dengan zaman yang semakin modern keberlanjutan pedagang konvensional dapat dipengaruhi dengan adanya penjualan online. Oleh karena itu penulis tertarik untuk melakukan penelitian untuk mengetahui seberapa besar pengaruh adanya penjualan online terhadap keberlanjutan pedagang konvensional di kecamatan Sekupang kota Batam. Metode penelitian yang digunakan adalah metode kuantitatif dengan teknik pengambilan data yaitu data primer melalui kuisioner. Metode analisa data dilakukan dengan menggunakan uji statistik regresi linear sederhana. Berdasarkan analisis data yang telah dilakukan diketahui adanya penjualan online mempengaruhi keberlanjutan pedagang konvensional di kecamatan Sekupang kota Batam.
Life Expectancy Prediction Using Decision Tree, Random Forest, Gradient Boosting, and XGBoost Regressions Chairunisa, Ghevira; Najib, Mohamad Khoirun; Nurdiati, Sri; Imni, Salsabila F.; Sanjaya, Wardah; Andriani, Rizka D.; Henriyansah; Putri, Renda S. P.; Ekaputri, Dhea
JURNAL SINTAK Vol. 2 No. 2 (2024): Vol. 2 No. 2 (2024): MARET 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v2i2.249

Abstract

Angka harapan hidup menggambarkan rata-rata lamanya waktu seseorang hidup sejak lahir di dunia. Angka harapan hidup menjadi salah satu aspek dalam menentukan indeks pembangunan manusia. Semakin tinggi Angka harapan hidup maka akan semakin tinggi nilai IPM. Tujuan penelitian ini adalah memprediksi angka harapan hidup melalui model yang paling akurat dengan menggunakan model decision tree regression, random forest regression, gradient boosting regression, dan XGBoost regression, serta analisis variabel penjelas yang paling mempengaruhi angka harapan hidup. Data yang digunakan dalam penelitian ini adalah dataset Global Country Information Dataset 2023. Data diperoleh dari situs Kaggle. Berdasarkan analisis diperoleh bahwa model random forest regression menunjukkan kinerja yang lebih unggul dalam memprediksi hasil, yang ditunjukkan dengan nilai RMSE yang lebih rendah dan nilai R² yang lebih tinggi. Kematian bayi dan rasio kematian ibu secara konsisten diidentifikasi sebagai prediktor yang signifikan di semua model, sedangkan populasi merupakan prediktor yang kurang memprengaruhi angka harapan hidup.
Factors Affecting Mathematics Students at Jambi University Being Infected with Covid-19 Using Binary Logistic Regression Ivone Damanik, Ellys; Kholijah, Gusmi; Multahadah, Cut
JURNAL SINTAK Vol. 2 No. 2 (2024): Vol. 2 No. 2 (2024): MARET 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v2i2.261

Abstract

Pandemi global COVID-19 menimbulkan tantangan serius bagi kesehatan masyarakat, termasuk di kalangan mahasiswa. Temuan ini bertujuan untuk memahami faktor-faktor yang mempengaruhi tingkat infeksi COVID-19 di kalangan mahasiswa Matematika Universitas Jambi, dengan fokus pada persepsi keefektifan tindakan isolasi diri ataupun karantina mandiri. Temuan ini bertujuan untuk membentuk model regresi logistik biner yang dapatlah menganalisis faktor-faktor yang mempengaruhi mahasiswa Matematika Universitas Jambi terinfeksi COVID-19. Faktor yang dipertimbangkan meliputi kepatuhan terhadap protokol kesehatan, reaksi terhadap keadaan wabah, persepsi terhadap isolasi diri, kekhawatiran saat berpergian, jenis kelamin, serta jumlah orang yang tinggal serumah. Data primer diperoleh melalui distribusi kuesioner online kepada mahasiswa Program Studi Matematika Angkatan 2020-2022 di Universitas Jambi. Metode Cluster Random Sampling dipergunakan untuk pengambilan sampel. Proses analisis data melibatkan regresi logistik biner dengan estimasi maksimum likelihood (MLE), uji serentak, serta uji parsial mempergunakan uji Wald. Model terbaik diidentifikasi dengan metode Backward. Hasil analisis menunjukkan bahwasanya variable yang signifikan ialah persepsi keefektifan tindakan isolasi diri ataupun karantina mandiri (X3). Model regresi logistik tereduksi menjadi π(x) = exp(-7,731 + 1,480X3) / (1 + exp(-7,731 + 1,480X3)). Odds ratio untuk X3 ialah 3,571, menunjukkan peningkatan peluang tidaklah terinfeksi COVID-19 sebanyak 3,571 kali dengan persepsi positif terhadap tindakan isolasi diri.
Online Learning Problems At State Elementary School 5 Sawojajar Mauliadini, Almira Zahra
JURNAL SINTAK Vol. 3 No. 1 (2024): SEPTEMBER 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v3i1.301

Abstract

The goal of this research is to detail the challenges encountered by educators and students alike when attempting to learn online during the COVID-19 epidemic, as well as the ways in which these challenges were mitigated. Public Elementary School 5 Sawojajar Malang is the site of this descriptive qualitative study. Interviews and a review of relevant literature were the primary methods of data collecting for this research. The purpose of this research was to identify many issues with online education during the COVID-19 epidemic. Teachers have challenges in online learning due to the lack of control and assessment tools available to them. Some students are less engaged in their learning, leading to boredom and apathy, and there is a shortage of facilities that may be utilized for online learning
The Impact of Using Online Loans on the Consumptive Lifestyle of Students at the Sepuluh Nopember Institute of Technology, Surabaya Danendra, Farel; Rahman, Muhammad Daffa Alvinoer; Erwada, Baringga Aurico De; Rakhmawati, Nur Aini
JURNAL SINTAK Vol. 3 No. 1 (2024): SEPTEMBER 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v3i1.315

Abstract

This research aims to analyze the impact of using online loans on the consumer lifestyle of students at the Sepuluh Nopember Institute of Technology (ITS) Surabaya. The research method used is quantitative through online surveys with purposive sampling data collection techniques. This research uses data from 53 respondents who are students at the Sepuluh Nopember Institute of Technology (ITS) Surabaya who are also online loan users. The research results show that ITS students who also use online loans tend to be consumptive and often buy goods without considering finances and needs just to improve their social status or because they are on sale. Consumptive behavior without considering needs and finances can have negative impacts in the long term, such as being in debt, having difficulty focusing on studies due to financial problems, and other problems in the future.
Causality Model of Trading Variables Between Trading Volume, Bid-Ask Spreads, and Stock Return Volatility (Case Study: Bisnis-27 Index) Agung, Andi; Zaqiyah, Arfatuz; Rozikin, Muhammad; Wafa, Moh. Shohibul; Nuha, Agusyarif Rezka; Sulistyono, Eko
JURNAL SINTAK Vol. 3 No. 1 (2024): SEPTEMBER 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v3i1.317

Abstract

This research explores the causality model between trading volume, bid-ask spread, and stock return volatility in the business index-27. Utilizing historical data, Granger causality analysis is employed to determine the direction and strength of the relationships between these variables. The findings reveal significant causal relationships among trading volume, bid-ask spread, and stock return volatility. These findings offer valuable insights into understanding stock market dynamics and their implications for investment decision-making. Moreover,This article contains an analysis of the relationship between stock trading variables within the scope of two main hypothesis namely the mixture of distribution hypothesis (MDH) and the sequential information arrival hypothesis (SIAH). The calculation results identify that for most stocks there is a one way Granger causality relationship between trading volume and return volatility, which is not sufficient evidence to support the MDH theory.
The Correlation Analysis between the Number of CIF and the Number of Account at Bank Syariah Indonesia KCP Batam Raden Patah Rani Gusrita; Nahrul Hayati
JURNAL SINTAK Vol. 3 No. 1 (2024): SEPTEMBER 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v3i1.370

Abstract

A crucial indicator in assessing the progress and performance of Islamic banks can be seen from the quantity of customers, which is reflected through the number of CIFs (Customer Information Files) and total accounts. This study aims to analyze the correlation between the number of CIFs and the number of accounts at Bank Syariah Indonesia (BSI) Batam Raden Patah Sub-Branch Office. This research uses monthly secondary data from May 2023 to July 2024, covering a period of 15 months. The analytical methods used include descriptive statistics, Kolmogorov-Smirnov normality test, Pearson correlation analysis, and trend analysis. The results show a very strong and significant positive correlation between the number of CIFs and the number of accounts. Trend analysis reveals consistent growth in both variables, with an increase of 8% in the number of CIFs and 7.12% in the number of accounts during the observation period. Keywords: CIF; accounts; Pearson correlation
Comparative Study of Griya Hasanah Product Usage and Interest Rate Impact at Bank Syariah Indonesia KCP Batam Raden Patah Ahmad Andrevi Alrasyidin; Nahrul Hayati
JURNAL SINTAK Vol. 3 No. 1 (2024): SEPTEMBER 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v3i1.375

Abstract

The Griya Hasanah product is a home installment financing option offered by Bank Syariah Indonesia, designed to facilitate customers in purchasing a house through credit payments. This study aims to determine whether there is a difference in the number of customers using the Griya Hasanah product each month and to assess whether interest rates have an impact on the number of customers. The research method used is quantitative, with data collection techniques involving secondary data provided by Bank Syariah Indonesia KCP Batam Raden Patah. Data analysis was conducted using linear regression tests and one-way ANOVA tests. Based on the data analysis, the first conclusion drawn is that there is no significant difference in the number of customers using the Griya Hasanah product. The second conclusion is that changes in interest rates do not have a significant impact on the number of customers using the Griya Hasanah product.
The Influence of Post Frequency and Type of Platform Used on Follower Interest Levels Azzahra, Nabila; Utami, Bulan Purnama; Arrafi, Adamsyam; Handayani, Vitri Aprilla
JURNAL SINTAK Vol. 3 No. 1 (2024): SEPTEMBER 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v3i1.381

Abstract

This study examines the influence of social media platform types and posting frequency on the level of follower interest in a content creator's account. The analysis results show that the type of platform (Instagram or TikTok) does not have a significant impact on follower interest. However, posting frequency is proven to have a substantial influence, with weekly frequency showing the most positive impact. The interaction between platform type and posting frequency does not demonstrate a significant effect. These findings suggest that content creators can focus on adjusting their posting frequency, particularly with a weekly schedule, to increase follower interest, without needing to worry about choosing between Instagram or TikTok platforms.

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