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All Journal Teknika Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Jurnal EMT KITA Pendas : Jurnah Ilmiah Pendidikan Dasar JTAM (Jurnal Teori dan Aplikasi Matematika) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan INTECOMS: Journal of Information Technology and Computer Science Jurnal Nasional Komputasi dan Teknologi Informasi Journal of Information System, Applied, Management, Accounting and Research Jurnal Informatika Kaputama (JIK) Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Applied Engineering and Technological Science (JAETS) Jurnal Teknik Elektro dan Komputasi (ELKOM) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Nasional (JPN) Indonesia Journal of Applied Data Sciences Jurnal Cahaya Mandalika International Journal for Applied Information Management JUTECH : Journal Education and Technology COMMUNITY : Jurnal Pengabdian Kepada Masyarakat AJAD : Jurnal Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS) Aptekmas : Jurnal Pengabdian Kepada Masyarakat KNOWLEDGE: Jurnal Inovasi Hasil Penelitian dan Pengembangan Journal of Artificial Intelligence and Digital Business CKI On Spot JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI SmartComp Journal of Computer Science Application and Engineering Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia kawanad Journal Innovations Computer Science International Journal of Applied Mathematics and Computing. International Journal of Computer Technology and Science International Journal of Information Engineering and Science Informasi interaktif : jurnal informatika dan teknologi informasi Computer Journal Journal of Engineering, Electrical and Informatics Jurnal Sinergi Digital dan Pemberdayaan Masyarakat
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Journal : computer journal

Implementasi Sistem Manajemen Keuangan Dan Dashboard Penjualan Berbasis Web Pada Usaha Hanbai Fotocopy Marsa Rifqa; Untung Surapati; Mesra Betty Yel
Computer Journal Vol. 4 No. 2 (2026): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v4i2.473

Abstract

This research is motivated by problems faced by photocopy businesses, which still rely on manual, paper-based recording of cashier transactions and financial bookkeeping. This conventional approach is prone to human error, carries a high risk of data loss, and is inefficient for daily operations. This study therefore designs, builds, and implements a web-based Financial Management System and Sales Dashboard (Point of Sales) for Hanbai Fotocopy. The main innovation is the use of Google Apps Script as the server-side backend and Google Sheets as the database, combined with Bootstrap 5, Chart.js, and jsPDF on the client side. The system was developed using the Waterfall method, covering requirements analysis, system design, coding, and Black-Box testing. The resulting cloud-based cashier and financial-recording application automates sales transaction recording, supports cash and non-cash payment methods, updates stock automatically, records operational expenses, and presents real-time cash-flow visualization on an interactive dashboard. Black-Box testing confirmed that authentication, transaction calculation, stock reduction, chart updates, and PDF report export all function as expected. By relying on the Google Workspace ecosystem, the system minimizes hardware and hosting costs while improving the accuracy, speed, and transparency of financial monitoring for the business owner.
Rancang Bangun Company Profile Berbasis Web pada BKB PAUD Ceria Menggunakan Metode Waterfall dan Numerik untuk Meningkatkan Pengetahuan Orang Tua terhadap Informasi Sekolah Irma Nur Najwa; Dwi Swasono Rachmad; Mesra Betty Yel
Computer Journal Vol. 4 No. 2 (2026): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v4i2.478

Abstract

BKB Paud Ceria is an early childhood education institution that has traditionally disseminated school information through manual channels, requiring prospective students’ parents to visit the school. This study aims to develop a web-based company profile using WordPress as a medium for information and promotion. The system was developed using the Waterfall method over four months (May–August 2026), with system design represented through use case, activity, and class diagrams. Functional testing used Black Box Testing with fourteen scenarios, while user acceptance was evaluated using a ten-item Likert-scale questionnaire covering Usability, Reliability, and Usefulness. The questionnaire was distributed through Google Forms to 27 respondents selected using purposive sampling. The results show that all fourteen test scenarios were valid (100%), while the User Acceptance Test obtained a score of 1,234 out of 1,350, equivalent to 91.4%, which falls into the Very Good category. The results indicate that the website was well accepted as a medium for providing school information and supporting communication with parents through its integrated WhatsApp feature.
Implementasi Internet of Things pada Sistem Absensi Mahasiswa Berbasis RFID dengan Monitoring Data Real-Time Bachrul Ulum Fajar Arrafi; Kiki Setiawan; Mesra Betty Yel
Computer Journal Vol. 4 No. 2 (2026): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v4i2.479

Abstract

The development of Internet of Things (IoT) technology supports the implementation of automated student attendance systems to address limitations in attendance recording, data recapitulation, and real-time monitoring. This study aims to implement a Radio Frequency Identification (RFID)-based student attendance system integrated with IoT. The Prototype method was used, consisting of requirement analysis, system design, implementation, and testing. The system utilizes an RFID Reader RC522, NodeMCU ESP8266, HTTP Request communication, PHP API, and MySQL database. RFID data is transmitted through a Wi-Fi network and displayed on a web-based dashboard. Testing with 10 trials resulted in a 100% success rate for UID reading, data transmission, student validation, attendance data storage, and dashboard visualization. The average response time from card detection to data display on the dashboard was 1.82 seconds. These results indicate that the system can support real-time IoT-based student attendance monitoring.
Penerapan Data Mining dalam Menentukan Kategori Barang Rongsokan Berdasarkan Frekuensi Penjualan Menggunakan Algoritma Naive Bayes Sutisna Sutisna; A'allya Nabilla; Mesra Betty Yel
Computer Journal Vol. 4 No. 2 (2026): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v4i2.486

Abstract

This study was motivated by the manual transaction recording system used at Lapak Pak Iyan, an MSME engaged in scrap goods collection in Rawalumbu, East Bekasi. This condition makes it difficult for the owner to identify frequently traded types of scrap goods, so purchasing decisions are not yet supported by structured data. The research aims to apply data mining using the Naive Bayes algorithm to classify scrap goods based on sales frequency into three categories: High-Selling, Moderate-Selling, and Low-Selling. The research methods include data collection, preprocessing, calculating item frequencies, category labeling, and classification using RapidMiner Studio. The dataset consists of 63 transaction records from January to June 2026 covering seven types of scrap goods. Model testing is conducted using Leave-One-Out Cross Validation (LOOCV) because the available dataset is relatively small. The classification results are expected to provide practical guidance for the owner in prioritizing purchasing decisions based on historical sales patterns. Naive Bayes successfully classified the seven types of scrap goods into three categories with an accuracy of 100%. Therefore, the results can be used as a reference to improve stock management efficiency.
Co-Authors ., Novriyenni A'allya Nabilla Abdulloh Abror Khanif Adicandra, M. Dicky Adityo Purwo Nugroho Adjie Wongso Moerdyanto Adnan Wahab Adzani, Adinda Mutiara Agus Tanti Rahayu Ahluna, Faza Ahmad Bustomi Zuhari Ahmad Bustomi Zuhari Ahmad Saepudin Ahmad Syahran Zidane Aisha Yulia Akbar, Yuma Alaqsha Gilang Imantara Aldi Sitohang Almazar, Nufaisa Aloisius Awang Hariman Alwanto, Hilmi Alya Kamila Amat Solihin Amelia, Ika Angel, Gadies Apriyanus Laia Ari Ramadhan Ari Sandi Fadhilah Arinal, Veri Aris Sufriman Aryanti, Putri Gea Aulia Maulida Axel Rajaliu Chaniago Azzizah, Putri Salfa Dhiyaa A’allya Nabilla B, Muhamad Hasbi Toharudin Bachrul Ulum Fajar Arrafi Bobby Arvian James Buaton, Relita Candra Milad Ridha Eislam Dadang Iskandar Mulyana` Dedi Wijaya Desilia Silvida Devara Isbani Yusuf Dewi Riyanti Wibowo Dewi Sartika Br Ginting Dwi Swasono Rachmad Eddy Purwandono Edhy Poerwandono Eka Maheswara Elmira Rafa Putri Elviwani Elviwani Eri Novitasari Eva Widiyanti F, Joe Renaldy Fadhil Khanifan Achmad Fadiliah, M. Ilyan Fadlurohman Zaki Rifa’i Fallah, Ahlan Nur Fatchurrachman Fatchurrachman Fauzan Azima Febrianti, Syafira Fernanda Adhipramana Ferry Fajar Pratama Franido, Richard Frencis Matheos Sarimolle Frencis Matheos Serimole Fuzy Manik Gabriel Alezhandro Pakpahan Hayu Fadilatin Heny Nengsih Herdiyansyah herdi Hartanto Herlina Ade Saputri I Komang Dewa Ananda Putra Ibnazia Darnov Ikhwanul Kurnia Rahman Indah Wahyuni Irma Nur Najwa Jodi Juliansah Joey Abdiner Parlindungan Hutabarat Kastum Kastum Kiki Setiawan Kiki Setiawan Lailany, Afyra Ar’bah Mahyuddin K. M Nasution Mainia Mayasari Marsa Rifqa Marsan, Alvin Cahya Pratama Masaranto Laia Maulida, Aulia Miftahul Huda Mohammad Farhan Muhamad Fawaz Kamali Muhamad Ikbal Muhammad Derry Oktaviandi Muhammad Dzaky Rahmanto Muhammad Fadlan Muhammad Faizal Lazuardi Muhammad Ikhsan Hakim Muhammad Jundi Hafizh Muhammad Rafli Fadillah Muhammad Syahrul Fattah Ramadhan Muhammad Umar Hafidz Mulya, Citra Pricylia Ananda Mutia Ramadhan Nandang Sutisna Nandang Sutisna Nandini Ladivina Sari Nesti Lutfianti Nova Dahliyanti Nova Dahliyanti Nova Mahendra Nugroho, Agung Yuliyanto Nur Aswan Multazam Nurfaishal, Muhammad Dzaky Nurhidayanti, Dian Nurjanah Nurjanah Nurul Khoiriyah Oka Prasetiyo Okta Saputra Oky Tria Saputra7 Opi Irawansah Prasetyo, Aji Dwi Putra, Adaffi Aditya Putri S, Dhiyah Labibah Nauli Rafi Bowo Raharjo Rafi Bowo Raharjo Rahmanto, Muhammad Dzaky Rasiban Rasiban Rasiban Regita, Anggit Nur Hannaa Rekardius Tafonao Richard Franido Ridho Arif Hidayat Ridho Arif Hidayat Rifai, Hanna Sabilla Rizkia Rachma Rodhiyah Romi Naufal Salam Ropindo Pelix Pane Rosiana, Grace Lolita Ryan Rivaldo Sahrul Hidayat Saidah, Andi Saifullah, Shoffan Salsabila Listania Iqhlima Salsabila Salsabila Sari Agustia Ningtyas Sarimole, Frencis Matheos Satria Wira Yudha Septiansyah, Ade Setiawan, Kiki Sfenrianto Sfenrianto Sfenrianto, Sfenrianto Shofy Kamila El Fajriah Siahaan, Rizkyrino Ronaldhino Simanungkalit, Giraldi Freddy Sinaga, Putri Cahyani SOPAN ADRIANTO Sopan Adrianto Sri Lestari Sri Lestari Sri Lestari Sugiono Sugiono Sugiyono Sugiyono Sugiyono Sugiyono Sutisna Sutisna Sutisna Sutisna T.Henny Febriana Harumy Tri Wahyudi Tri Wahyudi Tundo Tundo Tundo, Tundo Untung Surapati Untung Wahyudi Wahyu Hidayat Wewisman Tafonao Wijayanto, Willy William David Ravelino Willy Wijayanto Wuri Nur Aini Yara Raslita Yusi Gunawan Yusuf, Musalim Zaeny Miftah Ziyad Fernanda Syams Zulfikar Yusya Mubarak