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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Jurnal Muara Sains, Teknologi, Kedokteran dan Ilmu Kesehatan Jurnal ABDINUS : Jurnal Pengabdian Nusantara BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Bangkit Indonesia Jurnal Ilmu Siber dan Teknologi Digital Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Dwi Nurul Huda
Sekolah Tinggi Teknologi Indonesia Tanjungpinang
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Perbandingan Metode Single dan Double Exponential Smoothing dalam Memprediksi Jumlah Calon Peserta Didik Baru pada SMPIT As-Sakinah Kota Tanjungpinang Berbasis Website Dwi Nurul Huda; Mellina Ervira
Jurnal Bangkit Indonesia Vol 15 No 1 (2026): Bulan Juni 2026
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v15i1.474

Abstract

SMPIT As-Sakinah Tanjungpinang City, as a continuation of Elementary School (SD) is a school that combines Islamic values in the curriculum by applying an effective learning approach. The implementation of education within an institution will affect the number of students interested in studying there. Prediction of the number of prospective new students at SMPIT As-Sakinah Tanjungpinang City is one of the most important things in decision-making. After doing the research, it was found that at SMPIT As-Sakinah, Tanjungpinang City, no prediction was made on the number of prospective new students. From these problems, the author aims to build a website-based system to predict the number of prospective new students by comparing the Single and Double Exponential Smoothing methods, integrated with the database, to determine the most suitable method for prediction. In designing this system we used the Waterfall method and using the PHP programming language and the database using MySQL. After doing research using a comparison between the two methods produces the same results after the predicted values are rounded up. The difference between the two methods lies in the calculation; for the Single Exponential Smoothing method, smoothing is calculated only once and the Double Exponential Smoothing method is smoothed twice.
Systematic Literature Review: Analisis Pendekatan Matematis dalam Sistem Pendukung Keputusan Muthiah As Saidah; Aggry Saputra; Dwi Nurul Huda; Zulfachmi Zulfachmi; Zulkipli Zulkipli; Muhammad Qolbi Shobri
Jurnal Bangkit Indonesia Vol 15 No 1 (2026): Bulan Juni 2026
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v15i1.486

Abstract

This study aims to analyze mathematical approaches used in Decision Support Systems (DSS) through a Systematic Literature Review (SLR) method. A total of 41 scientific articles published between 2021 and 2026 were selected based on predefined inclusion criteria. The SLR process was conducted through several stages, including research question formulation, literature search, study selection, data extraction, and synthesis of findings. The results indicate that mathematical approaches in DSS can be classified into four main categories: Multi-Criteria Decision Making (MCDM), probabilistic, optimization, and hybrid approaches. Based on the distribution of articles, hybrid approaches are the most dominant with 19 articles, followed by MCDM with 10 articles, probabilistic with 7 articles, and optimization with 5 articles. The dominance of hybrid approaches reflects a paradigm shift from single-method usage toward the integration of multiple mathematical approaches to enhance system flexibility and accuracy. MCDM approaches remain widely used in structured multi-criteria problems, while probabilistic approaches play an important role in handling uncertainty and dynamic systems. Meanwhile, optimization approaches are applied to determine optimal solutions based on objective functions and constraints. This study contributes to systematically mapping and classifying mathematical approaches in DSS, as well as identifying research trends and future directions. The findings are expected to serve as a reference for developing more adaptive and integrated decision support systems.
Co-Authors Abdur Rahman Ade Winarni Ahmad Kriswantoro Amalia Zahara Angger Andrea Amanda Aurora Elsa S F Bizli, Fikramul Danandjaya Saputra Danil Hardinata Darwin Darwin Dedy Jauhari Fandhica, Ricke Friadi, John Frisca Oktaria Haris, Yusril Jauhari, Dedy Kevin Perdana Mellina Ervira Mochammad Rizki Romdoni Mubarok, Sahrul MUHAMMAD HARIS Muhammad Qolbi Shobri Muhammad Syafi’i Muhammad Tri Margianto Muthiah As Saidah Nurul Hilda Syani P Nurul Saepul Rahmad Abdul Rahmad Ricak Agus Setiawan Romdoni, Moch. Rizki Safitri, Liza Saiful Najib Saputra, Aggry Saputra, Yohendra Selly Sirait, Lisken Supriyadi, N. Suyamto Widodo Tio Adyatma Tono Vidani Yulinda Zufachmi Zulfachmi, Zulfachmi Zulkipli Zulkipli