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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Jurnal Sains dan Teknologi Jurnal Penelitian Pendidikan IPA (JPPIPA) ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURNAL PENDIDIKAN TAMBUSAI International Journal of Natural Science and Engineering Jurnal Teknologi Informasi dan Pendidikan Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Science and Environmental Journals for Postgraduate INCARE JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Jurnal Vokasi Informatika (JAVIT) Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Abdimas Indonesian Journal Jurnal Teknik Mesin, Industri, Elektro dan Informatika JPNM : Jurnal Pustaka Nusantara Multidisiplin Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Teknik Komputer dan Informatika (JTeKI) Journal of Hypermedia & Technology-Enhanced Learning Journal of Innovative and Creativity Journal of Authentic Research
Ahmaddul Hadi, Ahmaddul
Universitas Negeri Padang
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Rancang Bangun Sistem Analisis Pendapatan dan Prediksi Tren Penjualan Berbasis Metode ARIMA pada CV. Anugrah Murni Sejati Rizky, Salman; Huda, Asrul Huda; Hadi, Ahmaddul; Dewi, Ika Parma
Journal of Authentic Research Vol. 5 No. 2 (2026): May
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/t17ppb46

Abstract

Penelitian ini bertujuan merancang sistem analisis pendapatan dan prediksi tren penjualan berbasis metode Autoregressive Integrated Moving Average (ARIMA) pada CV. Anugrah Murni Sejati, sebuah UMKM percetakan digital di Padang. Permasalahan utama yang dihadapi perusahaan adalah data transaksi dari sistem Point of Sale telah tersimpan secara digital, tetapi belum dimanfaatkan sebagai dasar analisis tren, proyeksi pendapatan, dan perencanaan pengadaan bahan baku. Penelitian menggunakan pendekatan rancang bangun dengan tahapan analisis kebutuhan, perancangan pipeline data, pemodelan ARIMA, perancangan arsitektur aplikasi web, perancangan basis data, dan perencanaan pengujian fungsional serta akurasi model. Data yang dirancang sebagai masukan adalah transaksi penjualan mingguan periode Januari 2024 sampai Januari 2026. Hasil perancangan menunjukkan bahwa sistem memiliki tujuh kebutuhan fungsional utama, meliputi otentikasi, manajemen transaksi, manajemen data master, modul prediksi ARIMA, dashboard visualisasi, pelaporan, dan pengelolaan produk POS. Pipeline data mengubah transaksi mentah menjadi deret waktu mingguan melalui proses ekstraksi, pembersihan, agregasi, pengindeksan waktu, pemodelan, dan pengiriman hasil prediksi ke dashboard. Rancangan ini memperlihatkan integrasi antara sistem operasional dan lapisan intelijen bisnis sehingga manajemen dapat membaca tren penjualan secara lebih proaktif. Sistem yang diusulkan diharapkan meningkatkan objektivitas keputusan, mengurangi ketergantungan pada intuisi, dan memperkuat pengelolaan persediaan berbasis data. This study aims to design an income analysis and sales trend forecasting system based on the Autoregressive Integrated Moving Average (ARIMA) method at CV. Anugrah Murni Sejati, a digital printing micro, small, and medium enterprise in Padang. The main problem is that transaction data generated by the Point of Sale system have been stored digitally but have not yet been transformed into analytical insight for trend analysis, income projection, and raw-material planning. This study applies a system development approach consisting of requirement analysis, data pipeline design, ARIMA modeling design, web-application architecture design, database design, and functional as well as forecasting-accuracy testing plans. The designed input consists of weekly sales transaction data from January 2024 to January 2026. The design results indicate seven major functional requirements: authentication, transaction management, master-data management, Point of Sale product management, ARIMA forecasting, dashboard visualization, and reporting. The proposed pipeline converts raw transaction records into weekly time-series data through extraction, cleaning, aggregation, time indexing, modeling, and prediction delivery to the dashboard. The design integrates operational data management with a business-intelligence layer, enabling managers to interpret future sales trends proactively. The proposed system is expected to improve decision objectivity, reduce reliance on intuition, and strengthen data-driven inventory planning.
Rancang Bangun Sistem Informasi Pemesanan Digital Printing Menggunakan Metode TOPSIS untuk Rekomendasi Spesifikasi Produk Aprilia, Mauliza; Huda, Asrul; Hadi, Ahmaddul; Dewi, Ika Parma
Journal of Authentic Research Vol. 5 No. 2 (2026): May
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/gx5qg888

Abstract

Proses pemesanan digital printing pada CV. Anugrah Murni Sejati masih menghadapi kendala karena komunikasi pesanan dilakukan melalui pesan instan, informasi spesifikasi produk belum terstandarisasi, pencatatan transaksi belum terintegrasi, dan verifikasi pembayaran masih manual. Kondisi tersebut ditunjukkan oleh data operasional 2024–2025, ketika rata-rata waktu konfirmasi meningkat dari 2,1 jam menjadi 5,5 jam dan tingkat revisi produk naik dari 18% menjadi 44%. Penelitian ini bertujuan merancang dan membangun sistem informasi pemesanan digital printing berbasis web dengan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk memberikan rekomendasi spesifikasi produk secara objektif. Penelitian menggunakan metode pengembangan prototyping melalui tahap communication, quick plan, modeling quick design, construction of prototype, serta deployment, delivery, and feedback. Sistem dikembangkan dengan Laravel, PHP, MySQL, dan integrasi payment gateway Midtrans. Hasil perhitungan TOPSIS pada alternatif banner menunjukkan Banner Flexi Korea 440gsm sebagai rekomendasi terbaik dengan nilai closeness coefficient 0,631. Pengujian black box menunjukkan seluruh modul utama, meliputi autentikasi, katalog, pemilihan spesifikasi, rekomendasi TOPSIS, pemesanan, pembayaran, dan riwayat transaksi, berjalan sesuai skenario. Sistem yang dibangun meningkatkan keteraturan alur pemesanan, mempercepat konfirmasi transaksi, dan membantu pelanggan memilih spesifikasi produk secara lebih tepat The ordering process at CV. Anugrah Murni Sejati still faces operational problems because orders are handled through instant messaging, product specification information is not standardized, transaction records are not integrated, and payment verification is performed manually. Company operational data from 2024 to 2025 indicate that the average confirmation time increased from 2.1 hours to 5.5 hours, while the product revision rate rose from 18% to 44%. This study aims to design and develop a web-based digital printing ordering information system using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to provide objective product specification recommendations. The system was developed using the prototyping model, consisting of communication, quick planning, modeling quick design, prototype construction, and deployment, delivery, and feedback. The application was implemented with Laravel, PHP, MySQL, and Midtrans payment gateway integration. The TOPSIS calculation for banner alternatives identified Banner Flexi Korea 440gsm as the best recommendation with a closeness coefficient of 0.631. Black box testing showed that all major modules, including authentication, catalog, specification selection, TOPSIS recommendation, ordering, payment, and transaction history, operated according to the expected scenarios. The developed system improves ordering structure, accelerates transaction confirmation, and supports customers in selecting more appropriate product specifications.
Data Compression Technology for Optimizing Digital Learning Material Management in Repository Application using Personal Extreme Programming (PXP) Wahyu Permana Putra; Hadi Kurnia Saputra; Ahmaddul Hadi; Lativa Mursyida
Journal of Hypermedia & Technology-Enhanced Learning Vol. 2 No. 1 (2024): Virtual Victory
Publisher : Sagamedia Teknologi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58536/j-hytel.v2i1.108

Abstract

This research aims to create an educational environment integrated with technology through the implementation of educational technology, particularly by managing and storing digital learning device documents known as repositories. The developed Repository System aims to optimize storage management for learning device documents within an educational institution. A case study was conducted at a Vocational High School (SMK). The management and storage system for learning device documents was developed using the Personal Extreme Programming (PXP) method, adopting an adaptive and flexible agile approach. The repository system also applies data compression technology to optimize the storage capacity of learning device documents. Based on the results of the data compression testing, the developed system proved to be suitable, achieving an average storage efficiency of 40.04% for each uploaded file. This research contributes practical insights into the implementation of a repository system in an educational environment, particularly in Vocational High Schools, with a focus on curriculum transitions and the efficiency of managing learning device documents.
Development of Network Infrastructure Monitoring System at Vocational High School Using MikroTik and Telegram Integration Bayu Pratama; Zulhendra; Ahmaddul Hadi; Lativa Mursyida
Journal of Hypermedia & Technology-Enhanced Learning Vol. 2 No. 2 (2024): Meta World
Publisher : Sagamedia Teknologi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58536/j-hytel.v2i3.133

Abstract

This study aimed to develop a monitoring system for the computer network infrastructure at SMKN 7 Sijunjung. The system was designed to provide real-time monitoring of traffic, activity logs, and connected user devices on the MikroTik router; additionally, the application integrated notifications through the Telegram service to offer prompt information regarding network disruptions. The design methodology employed was PPDIOO (prepare, plan, design, implement, operate, and optimize). The system is implemented using a combination of hardware and software, including the utilization of the CodeIgniter framework for the user interface (UI). System testing was conducted using the BlackBox method to evaluate the functionality of the application comprehensively. The test results confirm that the application effectively monitored the network and promptly notified us of its status. However, there were certain challenges identified during testing, such as problems with online connectivity to the MikroTik router and limitations in database storage. The proposed solutions include activating the VPN on MikroTik and enhancing database storage capacity. This research contributes to the development of computer network infrastructure-monitoring systems in educational environments. These findings will lay the groundwork for other educational institutions to enhance the efficiency of network monitoring and maintenance in schools.
Rancang Bangun Sistem Manajemen Aset Berbasis RFID dengan Penentuan Prioritas Pemeliharaan Menggunakan Fuzzy-MARCOS: (Studi Kasus: Bidang TIK Polda Sumatera Barat) Muhammad Fatieh Akram Faritshi; Ahmaddul Hadi; Denny Kurniadi; Randi Proska Sandra
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 5 No. 1 (2026): Jurnal Teknik Mesin, Industri, Elektro dan Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v5i1.6083

Abstract

The management of State-Owned Assets (Barang Milik Negara/BMN) at the ICT Division of the West Sumatra Regional Police faces three fundamental challenges: reliance on error-prone manual recording, data inconsistencies between official government systems (SAKTI and SIMAN) and actual field conditions, and the absence of an objective mechanism for determining asset maintenance priorities. This study designs and develops a web-based asset management system integrating Radio Frequency Identification (RFID) Portable Handheld Reader technology with the Fuzzy-MARCOS (Measurement Alternatives and Ranking according to Compromise Solution) method as a Decision Support System (DSS) for multi-criteria maintenance prioritization, developed using the Prototype methodology with Laravel and React frameworks. The results demonstrate that the system successfully automates real-time asset location tracking through RFID integration, improves the efficiency of asset data management, generates accurate maintenance priority scores via the Fuzzy-MARCOS algorithm with zero deviation from manual calculations, and achieves a 100% functional success rate across all system modules. The integration of RFID Handheld technology and Fuzzy-MARCOS within a single unified platform for government BMN asset management constitutes the novelty of this study, with strong potential as a digital asset governance model supporting e-government implementation in law enforcement institutions.
Design and Development of Public Information Leakage Monitoring Tool Based on Google Dorking Checklist Using Pattern Matching and Risk Scoring Algorithm Alvin Anugerah Pratama; Ahmaddul Hadi; Hadi Kurnia Saputra; Akrimullah Mubai
Voteteknika (Vocational Teknik Elektronika dan Informatika) Vol 14, No 3 (2026): Voteteknika (Vocational Teknik Elektronika dan Informatika)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/voteteknika.v14i3.139229

Abstract

The high incidence of data breaches caused by security misconfiguration and improper public directory access has made Information Disclosure a critical threat to organizational digital assets. Conventional self-dorking monitoring methods are highly inefficient, prone to human error, and generate a massive amount of false positives without clear risk prioritization. This study aims to design, develop, and evaluate a web-based public information leakage monitoring tool that integrates automated Open Source Intelligence (OSINT). Developed using the Prototyping method with a Python Flask backend and MySQL database, the system utilizes the Serper.dev API to automate checklist-based Google Dorking. It implements a Pattern Matching algorithm based on Regular Expression (Regex) to filter out false positives and applies an Additive Weighting method for Risk Scoring based on four specific metrics. System evaluation through comparative accuracy tests demonstrates that the Regex implementation successfully validates vulnerability patterns with an extraction accuracy of 97.7%. Furthermore, the Risk Scoring algorithm precisely assigns severity labels (Critical, High, Medium, Low) that identically match manual mathematical calculations. In conclusion, this scanning tool effectively overcomes the limitations of manual searches by computationally transforming raw search engine data into structured, actionable security intelligence.Keywords - Information Disclosure, Google Dorking, Open Source Intelligence, Pattern Matching, Risk Scoring.
Co-Authors Abdul Habib Arrasyidi Desky Adek Putri Agariadne Dwinggo Samala Al-Ayyubi, Andi Sultan Alde, Ghenta Alif Alfajri Yusra Ali, Muhammad Irzan Alvin Anugerah Pratama Andhika Herayono Andre Agasi Aprilia, Mauliza Ariandi Hidayat Aryo Widityo Prabowo Asep Irawan Asmara, Delvi Asrul Huda Astry Yulinda Elfani Aulia, Mikratul Azella Septary Bayu Pratama Bayu Ramadhani Fajri Budayawan, Khairi Budayawan, Khairi Chairana, Syalma Audhia Claudia Gusra Dedy Irfan Delsina Faiza Delvi Asmara Denny Kurniadi Dharma Liza Said Diana Fitri Dina Febrianti Dodis Saufitro Dony Novaliendry Elfi Tasrif Erianjoni Erianjoni Fachri Ahmad Fadel Muhammad Fadhila, Fajri Fathur Rahman Firmansyah Firmansyah Ganefri . Geovanne Farell Hadi Kurnia Saputra Hadi Kurnia Saputra Hanif, Asnita Hasim, Abdul Huda, Asrul Huda, Asrul Huda Igor Novid Ika Parma Dewi Isworo Nugroho Ivaldo Saputra Ivon Satria Jayadi, Ridho Dimas Tri Prasetyo Khalilul Afwan Kurnia Saputra, Hadi Kurniadi, Denny Lativa Mursyida Lismin Dirwanto M. Kamal Mardiana Putri Sisi Mira Hasti Hasmira Mubai, Akrimullah Muhammad Arsyad Muhammad Fatieh Akram Faritshi Muhammad Rasyid Ridha MUHAMMAD YUSUF Muhammad Zuharmando Ghaffara Muliyati, Muliyati Mursyida, Lativa Nina Dwi Ariani Noval Yusri Yandi Prima, Nadya Putra, Rizky Andika Putrie Fortuna RGP Rabbynawa, Glody Syah Raflita, Olza Ramadhan, Ilhamdi Rani Nabilla Putri Refdinal Resmi Darni Resmidarni, Resmidarni Rezqy Ondrizal Rido Wahyudi Rinto Ardi Risma, Anisa Rizal Akhiar Ramadhan Rizkayeni Marta Rizky Nafarel Sidiq Rizky, Salman Salsabila Intania Bestari Salsabila, Unik Hanifah Sandra, Randi Proska Santi, Titen Darlis Saputra, Ivaldo Saputri, Sindi Siti Hartina Sonia Saputri Sukaya Sukaya Susatiawan , Najhan Ibra Syafrijon Syafrijon , Syafrijon Syafrijon Syafrijon Syafrijon, Syafrijon Syukhri Syukhri Syukhri, Syukhri Titi Sri Wahyuni Wahyu Permana Putra Welyansyah Maredy Putra Willy Winas Permata Windiani Yuniar Witno Vita Sari Yasdinul Huda Yeka Hendriyani Yulirismayenti yusra, alfajri Zulhendra Zulhendra