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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Dinasti International Journal of Management Science Formosa Journal of Sustainable Research (FJSR)
Siagian, Bekman
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences Other

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Komparasi Metode Peramalan Dalam Meramalkan Permintaan Layanan Wajib Pajak Putrananda, Aldy Prasetyo; Siagian, Bekman
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.11106

Abstract

Through the effectiveness and efficiency in carrying out its service functions, Directorate General of Taxes (DGT) can enhance taxpayer satisfaction, which in turn will encourage increased taxpayer compliance. The growth in the number of registered taxpayers, accompanied by an increase in the demand for tax services, underscores the urgency for DGT to develop strategies for forecasting the future demand of tax services. This will ensure that DGT can maintain a high level of taxpayer satisfaction. However, no single forecasting method can be universally applied to all conditions. Therefore, this study aims to identify forecasting methods that can be utilized by DGT to predict future demand for tax services. Among several forecasting methods tested in this study, including gradient boosting, naïve level, naïve seasonal, and Holt-Winters, Holt-Winters Additive method was found to be the most suitable. This method yielded RMSE of 30.518,451 ± 8.015,402, MAE of 24.691,949 ± 3.048,462 and MAPE of 8,16% ±1,76%.
PERBANDINGAN METODE KLASIFIKASI PADA JENIS PENJUALAN PT. YLO Putri, Manda Anugerah; Siagian, Bekman
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.11254

Abstract

Strategi pengelolaan penjualan menjadi faktor yang cukup krusial yang perlu dipertimbangkan dengan baik oleh industri demi keberlanjutan bisnis ditengah persaingan global yang kompetitif. PT. YLO merupakan salah satu pelaku bisnis yang bergerak pada industri rokok multinasional di Indonesia. Dalam menjalankan bisnisnya banyak tantangan yang dihadapi khususnya dari pesaing sehingga kecermatan dalam menentukan jenis penjualan kepada rantai pasok secara tunai maupun kredit secara akurat diharapkan mampu membantu perusahaan dalam mencapai tujuan perusahaan dengan meningkatkan profitabilitas dengan risiko gagal bayar yang rendah. Atas dasar tersebut pendekatan data mining diperlukan untuk dapat mengklasifikasikan jenis penjualan yang lebih optimal bagi perusahaan. Dalam penelitian ini, ada beberapa metode klasifikasi yang dibandingkan yaitu Decision Tree, Gradient Boosted Tree, k-NN, Logistic Regresion dan Naïve Bayes. Berdasarkan pengujian dari beberapa metode tersebut menunjukkan bahwa walaupun tingkat akurasi Logistic Regresion sebesar 71,39% lebih rendah daripada Naïve Bayes namun metode tersebut memiliki recall tertinggi sebesar 92,45% dan F-1 Score sebesar 68, 15% hasil tersebut mengintrepretasikan bahwa Logistic Regresion menunjukkan performa terbaik dalam mendeteksi transaksi kredit yang dapat digunakan oleh PT. YLO dalam menentukan langkah strategis dalam bisnisnya.
Profitability in Indonesia Manufacturing: Case Study on Automotive and Component Sector Rimadhani, Risthia Hanesty; Siagian, Bekman
Formosa Journal of Sustainable Research Vol. 3 No. 3 (2024): March, 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjsr.v3i3.8490

Abstract

This study aims to analyze and measure the extent to which liquidity ratio, firm’s size, gearing ratio and market share affect the profitability on Indonesia manufacturing, case study with automobiles and components sector. The research method uses quantitative research with saturated samples 10 companies and the financial year period 2015-2020. Panel regression with common model effect regression analysed by Eviews10 software. This study show that liquidity ratio has a significant positive effect on profitability (proxy by return on assets, net profit margin and gross profit margin). Leverage with gearing ratio has a significant negative effect on profitability (proxied by net profit margin), while company size and market share have an effect on profitability, with smaller significance probability
The Influence of Perceived Organizational Support and Competence on Employee Performance, with Job Satisfaction as a Mediating Variable in BCA Express Jabodetabek Tarigan, Joy Evan Saimara; Sadana, Stefanus M. Sri; Siagian, Bekman; Winarto, Oetami P.
Dinasti International Journal of Management Science Vol. 7 No. 3 (2026): Dinasti International Journal of Management Science (January - February 2026)
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijms.v7i3.6170

Abstract

This study aims to examine the effect of perceived organizational support (POS) and competence on employee performance, with job satisfaction as a mediating variable at Bank Central Asia (BCA) Express Jabodetabek. A quantitative approach with causal and associative properties was used through hypothesis testing. The population consists of all 93 customer service employees (census). Data analysis uses the Partial Least Squares (PLS) method with the help of SmartPLS 4.0 software. The findings of the study are that POS, competence, and job satisfaction directly have a significant effect on performance. POS and competence also directly have a positive and significant effect on job satisfaction. Job satisfaction acts as a mediating variable that strengthens the influence of POS and competency on performance. Increased job satisfaction strengthens the contribution of organizational support and competency to employee performance.
Co-Authors Putrananda, Aldy Prasetyo Putri, Manda Anugerah Rimadhani, Risthia Hanesty Stefanus M S Sadana Tarigan, Joy Evan Saimara Winarto, Oetami P.