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All Journal Jurnal Simetris Prosiding SNATIF Jurnal Informatika dan Teknik Elektro Terapan Infotech Journal JUPITER (Jurnal Pendidikan Teknik Elektro) Jurnal Pendidikan Fisika dan Keilmuan (JPFK) Jurnal Sisfokom (Sistem Informasi dan Komputer) DoubleClick : Journal of Computer and Information Technology DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Diklat Review : Jurnal manajemen pendidikan dan pelatihan Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] bit-Tech Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Generation Journal Jurnal Abdi Insani Indonesian Journal of Electrical Engineering and Computer Science Budimas : Jurnal Pengabdian Masyarakat Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Infotek : Jurnal Informatika dan Teknologi Nusantara Science and Technology Proceedings Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Multicience Jurnal Ekonomi TIERS Information Technology Journal Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Teknik Informatika Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Digital Transformation Technology (Digitech) Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Pena Dimas: Jurnal Pengabdian Masyarakat SATIN - Sains dan Teknologi Informasi Nusantara Journal of Computers and its Applications Journal Of Artificial Intelligence And Software Engineering SmartComp
Hasanah, Herliyani
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Journal : bit-Tech

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Website-Based Sales Transaction Data Monitoring Information System Risandi, Arfika Putri; Hasanah, Herliyani; Oktaviani, Intan
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2679

Abstract

Micro, Small, and Medium Enterprises (MSMEs) contribute significantly to the Indonesian economy, yet many still rely on manual transaction recording using Excel, which often results in errors, delays in reporting, and difficulties in accessing historical sales data. These limitations hinder effective decision-making and reduce operational efficiency. In response to these challenges, this study aims to develop a website-based sales transaction data monitoring information system that enables real-time monitoring and structured data management for various user roles: admin, reseller, and leader. The system was developed using the Rapid Application Development (RAD) method, which emphasizes fast prototyping and user feedback to ensure functionality meets actual needs. Features include automated Excel data uploads, interactive dashboards, and reseller performance visualizations tailored to user roles. Testing was conducted using Black Box Testing and User Acceptance Testing (UAT). The results indicate that all system functions operated according to design specifications and received positive feedback from users regarding usability and effectiveness. The implementation of this system successfully addresses the common problems faced by MSMEs in transaction management by improving accuracy, speeding up reporting, and enhancing monitoring transparency. In conclusion, this system offers a practical solution that is ready to be adopted by MSMEs with similar transaction recording issues, supporting digital transformation and operational efficiency in the MSME sector.
Predicting Social Media Addiction Using Machine Learning and Interactive Visualization with Streamlit Tegar, Alfiyan Tegar Budi Satria; Hasanah, Herliyani; Oktaviani, Intan
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2715

Abstract

The increasing use of social media among students has raised concerns regarding its impact on mental health, academic performance, and interpersonal relationships. This study introduces a Streamlit-based web application that predicts social media addiction levels using the Random Forest algorithm. The model incorporates variables such as daily usage hours, mental health scores, and conflicts caused by social media. The innovation of this approach lies in combining machine learning with interactive visualizations for real-time addiction prediction, providing a user-friendly, data-driven tool for early screening. Unlike traditional models that primarily rely on self-reported data or simple metrics, this method integrates multiple behavioral and psychological indicators to improve prediction accuracy. The model outperforms linear regression in all key metrics, achieving an R² value of 0.9903, which explains 99.03% of the variation in addiction scores. It also reports a low Mean Absolute Error (MAE) of 0.0370, Mean Squared Error (MSE) of 0.0244, and Root Mean Squared Error (RMSE) of 0.1561, highlighting its accuracy. Black-box testing showed an average error of just 0.354% in predictions and confirmed that the app’s features function effectively across devices. These findings emphasize the potential of this application as an effective tool for identifying students at risk of social media addiction, enabling timely interventions, and offering a foundation for future improvements through real-time data integration and advanced machine learning models.
Co-Authors Abi Yudistira, Muhammad Abinaya Awalia Adristi Asyifa, Elga Adi Nugroho, Rezza Adi Putra Wiratama, Ryan Adji Rohman, Bagus Afu Ichsan Pradana Agustina Srirahayu Ahmad Tomi Alamsyah, Bintang Aljundi, Izudin Alvian Andrianto, Rahmad Amilia Ayu Lala Kusumaningtyas An-Najmutsaqib, An-Najmutsaqib Anik Sulistiyanti Anisatul Farida Ardi Lestari, Sofiana Ardian Saputra, Muhammad Ardina Juliani, Novita Arfian Panji Sjifa Arfiyan, Muhammad Ariya Budi Santoso Arlin Govinda Putra Artika Rahmawati, Dinda Arya Kusuma, Aldy Athallah Maulana Faiq, Muhammad Atina, Vihi Atsir, Ega Muhammad Azzahra, Afifah Bachtiar Estu Saputro Bahtiar Rifai, Afin Begti Rizal Nugroho, Nanda Bima Priambada, Garneza Bimantara, Anugrah Buana Perdana, Rendi Burhanudin, Latif Carlos Ximenes, Egidio Chris Hendrato, Jehian Christian Putra Pratama, Michael Claudia Swastikawati Daffa Rizki Putra Noordi Darmaji, Farid Dewi Anggraini, Puspita Dimas Dewanto, Ignatius Divia Putri, Radika Dwi Hartanti Dwi Refa, Arjuna Edy Kurniawan Eka Kurniawan, Geraldi Eko Purwanto Ester Anugrayningtyas Fajar Wahyu Hanafi Farid Darmaji Fathi Zakka, Danang Febriano Dos Santos, Lissandro Fitria Eko Nurjanah Galih, Rhezka Mahendra Hanan Assyauqi, Wildan Handreas Satria, Vieri Ibrahimovic, Ridho Ilham Amani Saiful Haq Ilyas Nurulloh, Muhammad Intan Oktaviani Karininna, AllisyaYunda Kasetyaningsih, Sufia Widi Lestari, Fany Lila Aprilia, Arlinda Marcelina, Indi Marcelino Jonatan Mashar, Muhammad Ali Maulana Firmansyah, Iqsal Maulid Ardiyan, Afrilza Maulindar, Joni Moh Muhtarom Muh Amin Faiz Nur Ridho Muh. Ali Mashar Muhamad Aldiyansyah Muhammad Dion Febrian Tino Muhtarom, Moh Mulindar, Joni Nada Febriani, Nada Naoki Priyanto, Braverindo Nastainu Huda Alriefna, Muhammad Nastiti, Faulinda Eli Nofikasari, Indah Novemy Triyandari Nugroho Nugroho Arif Sudibyo Nurchim Nurchim Nurmalitasari Nurmalitasari Nurmalitasari Nurmalitasari Oktaviani, Intan Pangestu, Arnan Dwi Pasha Alghifary, Haikal Perdana Artania, Ipung Permatasari, Hanifah Pineda Prima Yoga Pipin Widyaningsih Prasetyo, Adi Tri Pratama, Hafiz Primadinata, Dimas Purwanto, Moch. Edy Putri Ristiyani, Asyira Raihan Ardiansyah, Muhammad Rijalul Hakim, Hanan Risandi, Arfika Putri Rizky Fadrilah, Septian Rohmad Mansa, Abel Rudi Susanto Safa Ariesta, Syahada Saktiawan, Galang Saputra Jati, Nugroho Saputro, Khoirul Adi Sarah Raihan, Alexadria Septiano Ozora, Kevin Setya Pradhana, Wahyudi Soenoto, Danudiraja Sri Sumarlinda Sufia Widi K. Sulistyani, Widya Suwandana, Alung Syaiful, Ido Syakuro, Abdan Syiffa Yofika Ailsa, Asy Tegar, Alfiyan Tegar Budi Satria Tino, Muhammad Dion Febrian Tri Djoko Santosa Ulung Septiaji, Dimas valentino, deva Viesta Marbun, Randy Viesta Marbun Wahyu Aji, Jatmika Wahyudi, Risqi Widya Sulistyani Wiji Lestari WIJI LESTARI Wiji Lestari Wijiyanto Wira Hadikusuma, Ananda Yuana Alifya, Alexsa Yusuf Arifin, Burhan Zakharia, Ade Zakiya Nafis, Muhamad Zulfia Zahra, Kerin