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All Journal JSI: Jurnal Sistem Informasi (E-Journal) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknoinfo Jurnal Nasional Komputasi dan Teknologi Informasi Journal of Information System, Applied, Management, Accounting and Research Jurnal Informatika Ekonomi Bisnis REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Bulletin of Computer Science Research Bulletin of Information Technology (BIT) Brilliance: Research of Artificial Intelligence Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Inkofar Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Pengabdian Mandiri Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Lentera Pengabdian Jurnal Informatika Ekonomi Bisnis Riwayat: Educational Journal of History and Humanities VIDHEAS: Jurnal Nasional Abdimas Multidisiplin RECORD Journal of Loyality and Community Development
Butsianto, Sufajar
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Neuroscience Public Health Social Sciences Transportation Other

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Journal : Bulletin of Computer Science Research

 1 
Sistem Informasi Keamanan Kunci Pintu Pintar Berbasis Internet of Things Notifikasi Real-Time Berbasis WhatsApp Suy, Kaleb; Sufajar Butsianto; Supriyanto
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.720

Abstract

Security remains a primary concern in domestic and marketable structures, especially as conventional door cinches come decreasingly vulnerable to duplication and forced access. This study presents the design and perpetration of a smart door lock security system grounded on Internet of Things and Radio frequence Identification technologies. The main ideal is to give a real- time, ever controlled locking medium integrated with a mobile- grounded messaging platform. The development process adopts the nimble methodology, which promotes inflexibility, responsiveness to stoner feedback, and rapid-fire replication in software and tackle integration. The tackle armature utilizes ESP32 and Arduino Nano microcontrollers to manage essential factors, including RFID compendiums, relays, buzzers, solenoid cinches, LED and LCD as display module. On the software side, the system incorporates a pall connected messaging operation to deliver real- time announcements to druggies, including cautions for unauthorized access attempts, successful entries, and low battery warnings. Data communication between the microcontrollers is enforced via periodical protocol, while the commerce with the messaging service is established using the HyperText Transfer Protocol. Testing involved colorful scripts including valid access, unrecorded card attempts, and remote commands. The testing scenario uses three RFID cards and a WhatsApp chatbot, with one card as the master and the other two as access cards, with each card undergoing three trials. Results demonstrate a high success rate in card discovery and command prosecution with an average system response time below one second. The system also allows druggies to register and remove access cards via a master card medium, which enhances usability and control. This exploration contributes a low- cost, customizable, and effective security result suitable for smart homes, boarding houses, and small- scale marketable parcels. It shows the feasibility of integrating open- source microcontrollers with everyday messaging tools to achieve effective, real- time home security. The proposed system provides a foundation for unborn exploration in combining internet grounded control systems with biometric detectors or machine literacy grounded access analytics such as developing a separate mobile application so that it does not use third-party applications, allowing users to obtain more accurate feedback through door leaf detector sensors.
Implementasi Algoritma Apriori dalam Menemukan Pola Asosiasi pada Data Penjualan Produk Retail Butsianto, Sufajar; Candra Naya; Anggi Muhammad Rifa'i
Bulletin of Computer Science Research Vol. 5 No. 5 (2025): August 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i5.731

Abstract

This study aims to implement the Apriori algorithm in finding association patterns in retail product sales data, using the Association Rule Mining approach. Evaluating the ruler or association rules formed based on the support, confidence, and lift parameters, in finding association patterns in retail product sales data with a focus on the relationship between product categories. The data used consists of 500 sales data as sample data and 5,972 transactions as test data. The data mining process was carried out on the main product categories such as Milk, Coffee, Tea, Drinks, Detergent, and Biscuit/Snacks, to find association rules that appear simultaneously with the Bulk Products category in one transaction time. The minimum support parameter was set at 0.02 and the minimum confidence was set at 0.5. By using these parameters, several significant association rules were obtained. One of the strongest rules shows that if products in the Milk, Coffee, Tea, Drinks, Detergent, and Biscuit/Snacks categories are purchased together, then there is a 64.3% probability (confidence) that products in the Bulk Products category are also purchased at the same time. The support value of this rule reached 3.8%, and the lift value was 1.49, indicating a positive association and not a coincidence. Evaluation of the test data showed that this pattern was consistently found across 5,972 transactions, with a repeatability rate of 61.7%. The results of this study demonstrate that the Apriori algorithm is effective in identifying consumer purchasing patterns that can be utilized for product placement strategies, bundling offers, and inventory planning in retail management.
Co-Authors . Ermanto Abdul Halim Anshor Agung Nugroho Agus Suwarno Aguswin, Ahmad Ahmad Turmudi Zy Amali, Amali Ananda, Angga Thifal Ananto Tri Sasongko Andre Ardiansyah Andriani Andriani Andriani Andriani Anggi Muhammad Rifa'i Anggi Muhammad Rifai Anisah Purnamasari Aprila Hardi, Resty Arief Nur Hidayat ARIF SUSILO Aris Iskianto Aris Iskianto2 Arwan Sulaeman, Asep Asep Muhidin Asep Muhidin Baharudin, Arya Rifaldi Budi Rahardjo, Sugeng Candra Naya Candra Naya Dewi Sekar Arum Dian Riki Pangestu Dicky Winanda Santoso Donny Maulana Edi Tri Triwibowo Edi Tri Wibowo Edora Edora Edy Widodo Edy Widodo Eka Nur Arifin Eko Putra, Fibi Elkin Rilvani Endah Yaodah Kodratillah Ermanto Ermanto Fathurrahman, Humam Fauzi Ahmad Muda febriyanti febriyanti Herdiyan, Serly Humam Fathurrahman Ikhsan Romli Irfan, Yusuf Kodratillah, Endah Yaodah Makmun Effendi, M. Mamat Casmat Maryani Manik Maulana, Futuh Muhamad Fatchan Muhammad Faisal Muhammad Fatchan Muhammad Fikri Fauzan muhidin, asep Muhtajuddin Danny Naya, Candra Nindi Tya Mayangwulan Nurhali Saepudin Nurhali Saepudin Oktavianti, Risma Nadia Otib Subagja Pratama, Suria Puput Riyanti Purwanto Purwanto Putra, Irga Ramadhan Putri Riandani, Andini Raharjo, sugeng budi Ramadhan, Aldi Retno Fitri Astuti Rifa'i, Anggi Muhammad Romli S. Sunge, Aswan Selviana, Vina Setyaningrum, Retno Purwani Setyaningrum Setyawan, Wisnu Sifa Fauziah Sifa Fauziah, Sifa Siswandi , Arif Siswandi, Arif Siti Rahayu Sulaeman, Asep Arwan Sunge , Aswan S. Supriyanto Supriyanto, Asep Suratman Suratman Suy, Kaleb Syahlan Sugiarto Tedi, Nanang Triwibowo, Edi Turmud Zy, Ahmad Valentin*, M Ryan Bagus Wachid Hasyim, Wachid Widiyatmoko, Arif Tri Wiyanto Wiyanto Wiyanto Yolanda Alviana