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Application of Statistical Analysis in Information Systems to Support Data-Driven Decision Making: A Literature Study Ade Putra Syawaludin; Arif Setiabudi; Purwadi Purwadi
MASALIQ Vol 6 No 4 (2026): MASALIQ: Jurnal Pendidikan dan Sains
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i4.10552

Abstract

Although information systems are increasingly used to support organizational decision processes, understanding of how statistical analysis is applied within these systems and how it contributes to decision quality remains limited. This study aims to examine the application of statistical analysis in information systems to support data-driven decision making. Using a literature review approach, this study analyzes relevant scientific articles on statistical analysis, information systems, business intelligence, decision support systems, and data-driven decision making. The findings indicate that statistical analysis plays a central role in transforming data into meaningful information through descriptive analysis, correlation, regression, prediction, classification, and data visualization. Its integration into information systems enables organizations to understand actual conditions, identify patterns, estimate trends, and formulate more objective decision recommendations. This study concludes that the integration of statistical analysis in information systems can improve evidence-based, measurable, and organizationally relevant decision making. The study contributes to the literature by clarifying the analytical role of statistical methods in information systems and provides practical implications for organizations seeking to strengthen decision quality through data-driven approaches.
Penerapan Model Problem Based Learning Untuk Meningkatkan Keterampilan Menulis Teks Eskposisi Adat Tradisi Mantu Yen Hestu Musyarofah; Endang Nurhayati; Purwadi Purwadi
Journal of Language Education Studies and Applied Linguistics Vol 2 No 1 (2025): Desember 2025
Publisher : Fakultas Ilmu Budaya Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jolesal.2025.2.1.19875

Abstract

Penelitian ini bertujuan untuk meningkatkan keterampilan menulis teks eksposisi adat tradisi mantu melalui penerapan model pembelajaran Problem Based Learning (PBL) pada peserta didik kelas XI TP 3 SMK Negeri 1 Kaligondang. Permasalahan utama yang dihadapi adalah rendahnya keterampilan menulis peserta didik, kurangnya inisiatif mencari bahan literasi, serta metode pembelajaran yang masih berpusat pada guru. Penelitian ini merupakan Penelitian Tindakan Kelas (PTK) yang dilakukan dalam satu siklus selama dua pertemuan. Metode pengumpulan data meliputi observasi, tes, penugasan, dan dokumentasi, dengan analisis data deskriptif kuantitatif. Hasil penelitian menunjukkan peningkatan signifikan pada keterampilan menulis peserta didik, dengan rata-rata nilai akhir 84 dan tingkat ketuntasan mencapai 83,3%. Model pembelajaran Problem Based Learning (PBL) terbukti efektif dalam menciptakan pembelajaran yang aktif dan kolaboratif, memotivasi peserta didik untuk berpikir kritis, serta meningkatkan keterampilan menulis teks eksposisi adat tradisi mantu. Penelitian ini mendukung rekomendasi penerapan model Problem Based Learning (PBL) pada materi lain yang membutuhkan keterampilan berpikir kritis dan kolaborasi.
Evaluasi Efektivitas Sistem Autentikasi Dua Faktor (2FA) terhadap Kepercayaan Pengguna Aplikasi Digital dengan Pendekatan Statistik Fadila Nur Syifa; Akbar Priyanto; Purwadi Purwadi
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 3 (2026): Agustus : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid development of digital technology has led to an increasing demand for effective security systems to protect user information. One popular method is two-factor authentication (2FA), which adds another layer of protection beyond passwords. This study aims to assess the effectiveness of 2FA implementation in increasing user trust when accessing digital services. The method used in this study was a quantitative approach, collecting data through questionnaires administered to a group of respondents who use digital applications. The collected data were then analyzed using descriptive and inferential statistical techniques to explore the relationship between 2FA use and user trust levels. The study findings indicate that most respondents feel more secure and trust systems that use 2FA compared to those that only implement single-factor authentication. Furthermore, the statistical analysis indicates a positive correlation between 2FA implementation and increased user trust. Thus, it can be concluded that user views of 2FA are generally positive. This research is expected to serve as a reference for system developers in improving user security and convenience.
Penerapan Metode Regresi Linear dalam Analisis Statistik Penggunaan Internet via Telepon Seluler di Indonesia Berdasarkan Data BPS Amelia Nur Azizah; Vevinciya Dila Dita; Juwita Septiani; Denaya Fadilah; Stella Putriseptiyani Septeragil; Purwadi Purwadi
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 4 No. 3 (2026): Agustus : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v4i3.4262

Abstract

This study aims to apply the linear regression method in analyzing the trend of internet usage via mobile phones across all provinces in Indonesia based on data from the Central Statistics Agency (BPS) for the period 2020–2024. Internet access through mobile phones is the dominant medium in Indonesia, with the national average ranging from 98.25% to 99.11% during the period. This study uses secondary data from BPS covering 34 provinces in Indonesia. The analysis method used is simple linear regression with year as the independent variable (X) and the national average percentage of internet usage via mobile phones as the dependent variable (Y). The analysis produced the regression equation Y = -276.01 + 0.1853X with a coefficient of determination R² = 0.7831, meaning approximately 78.31% of the variation in internet usage growth can be explained by the time factor (year). Based on this regression model, internet usage via mobile phones in Indonesia is predicted to reach 99.27% in 2025. The results indicate a consistent positive trend in mobile internet usage in Indonesia, although provincial variations exist.
Co-Authors Ade Putra Syawaludin Adi Suhendra Aghnia Nur Fadilah Agnisella Kezia Sumbogo Agus Sriyatmoko Aju Tjatur Nugroho Krisnaningsih Akbar Priyanto Alfan Muttaqin Alim Sri Mardiani Alya Azaki Amatullah Amelia Nur Azizah Anis Safitri Anita Chandra D S Anita Chandra Dewi Sagala Arif Setiabudi Arif Wahyu Nugroho Athalla Naufal R.S Aziza Zull Ramadhani Budi Waluyo Denaya Fadilah Dewi Aprilia Sari Diana Widianti Djalal Rosyidi Dwi P.D.H. Dwi Prasetiyawati D.H. Dwi Prasetiyawati Diyah Hariyanti Edy Suryanto Eka Novian Gunawan Elfitriani Elfitriani Elysa Novitasari Endang Nurhayati Endang Susilowati Ery Wahyuti Eudia Christina Wulandari Fadila Nur Syifa Faisal Sunarto Gilang Jaka Sanjaya Hartono Hartono Herman Ya'aro Z Harefa Iman Kuntoro Intan Nova Pramaisela Istiti Purwandari JOKO NUGROHO Juwita Septiani Kadarusmanto Kadarusmanto Lia Mustabsyiah Lilik Eka Radiati Lily Suparlina Lily Suparlina Luh Putu Ratna Sundari M. Kristanto Mardiana Mardiana Melida Fitroturrohmah Mila Karmila Mira Azizah Moch Tirta Ageng Bambang Priomojo Muhamad Amru Rachman Muhammad Rohmadi Nila Kusumaningtyas Nugraheni Eko Wardani Nur Dwiana Muslimah Nurarif, Saiful Nurul Fatimah Pardi Pardi Puji Sari Ramadhan Purnomo Edi Sasangko Raheni Suhita Ratna Wahyu Pusari . . Ray Ferza Rekyan Ayu Nawang Wulan Rina Karmiyanti saniman saniman Siti Rochmiyati Stella Putriseptiyani Septeragil Suardi Yakub Suhardi Suhardi Sukisno Selamet Riadi Sukisno Selamet Riadi Sumarwati Surian Pinem Sutrisno Sutrisno Suwartiningsih Suwartiningsih Suyitno Suyitno Tania Agustis Syarah TEGAR HARBRIYANA PUTRA Tri Handoko Seto Tukiran Surbakti Tukiyat Tukiyat Vevinciya Dila Dita Vicky Agus Saputri Widiarti Rista Maya Yen Hestu Musyarofah Yenni Marliani Yonathan Pongtuluran Zainal Ilmi