Journal of Applied Informatics Science
Aim The Journal of Applied Informatics Science is dedicated to advancing the discipline of applied informatics by publishing high-quality, peer-reviewed research that integrates theoretical foundations with practical solutions. The journal seeks to promote scientific excellence, foster technological innovation, and support interdisciplinary collaboration within the global informatics community. Its primary objective is to provide an authoritative platform for researchers, academicians, and industry professionals to disseminate original contributions that address emerging challenges, opportunities, and transformations in intelligent and secure computing. Scope The journal welcomes submissions that explore concepts, models, technologies, and applications across a wide spectrum of applied informatics. Areas of interest include, but are not limited to: Intelligent Systems and Artificial Intelligence: machine learning, deep learning, expert systems, natural language processing, computer vision, robotics, autonomous systems, and intelligent agents. Software Engineering: software development methodologies, agile and DevOps approaches, software testing and quality assurance, software architecture, cloud-native development, and distributed systems. Computing Systems: high-performance computing, embedded and real-time systems, parallel computing, Internet of Things (IoT), sensor networks, edge and fog computing, and cyber-physical system architectures. Cybersecurity and Cryptography: secure communication protocols, network security, intrusion detection and prevention systems, cryptographic techniques, cyber threat modeling, blockchain security, and privacy-preserving technologies. Big Data and Data Analytics: scalable data processing frameworks, data mining, predictive analytics, real-time analytics, data streams, visualization techniques, and analytical dashboards. Business Intelligence and Knowledge Management: decision support systems, enterprise data warehousing, knowledge discovery, digital transformation strategies, and AI-driven business process optimization. The journal accepts original research articles, review papers, technical notes, and case studies that contribute to scientific understanding, technological development, policy insight, or practical implementation of informatics solutions. All submissions undergo a rigorous peer-review process to ensure academic integrity, relevance, and quality. The Journal of Applied Informatics Science encourages interdisciplinary research that connects informatics with domains such as healthcare, education, business, environment, industry, and public services.
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<![CDATA[Perancangan Aplikasi Tracking Kendaraan Berbasis Android Untuk Mengatasi Masalah Distribusi Pada Perusahaan Agen Lpg 3 Kg ]]>
<![CDATA[Tegar Kusuma Artha]]>;
<![CDATA[Rudi Heryanto]]>;
<![CDATA[Muhammad Teguh Prihandoyo]]>
<![CDATA[ Journal of Applied Informatics Science Volume 2 Issue 1 (2026) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v2.i1.77
<![CDATA[Distribusi LPG 3 Kg pada agen sering menghadapi berbagai permasalahan, seperti ketidaksesuaian rute pengiriman dan titik distribusi ke pangkalan. Hal ini menyebabkan penyaluran LPG menjadi tidak merata serta meningkatkan biaya operasional. Penelitian ini bertujuan merancang dan mengimplementasikan aplikasi tracking kendaraan LPG 3 Kg berbasis Android untuk meningkatkan efektivitas pengawasan dan distribusi. Metode penelitian meliputi analisis kebutuhan sistem, perancangan sistem menggunakan diagram UML dan ERD, pengembangan aplikasi dengan framework Flutter, serta pengujian fungsionalitas aplikasi. Aplikasi yang dikembangkan terintegrasi dengan Firebase sebagai basis data real-time dan Google Maps API untuk menampilkan lokasi kendaraan secara langsung. Hasil implementasi pada PT. Remaja Putra Baru Agen LPG 3 Kg di Kabupaten Tegal menunjukkan bahwa sistem mampu memantau pergerakan kendaraan secara real-time, menyimpan riwayat perjalanan, serta meminimalkan penyimpangan distribusi. Penerapan aplikasi ini dapat meningkatkan efisiensi operasional dan ketepatan pengiriman LPG ke pangkalan yang telah ditentukan sehingga distribusi menjadi lebih transparan dan tepat sasaran.]]>
<![CDATA[Perancangan Sistem Informasi Manajemen Fokus Belajar Ocus Menggunakan Metode SDLC ]]>
<![CDATA[Layli Hardiyanti]]>;
<![CDATA[Kahfi Gunardi]]>;
<![CDATA[Muhammad Arya Pangestu]]>;
<![CDATA[Andika Muhammad Surya]]>;
<![CDATA[Catur Prasetyo Gama]]>
<![CDATA[ Journal of Applied Informatics Science Volume 2 Issue 1 (2026) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v2.i1.78
<![CDATA[Distraksi digital menjadi tantangan utama produktivitas belajar mahasiswa. Berdasarkan survei terhadap 100 responden, 87,5% mahasiswa kesulitan mempertahankan fokus belajar dan 75% kesulitan mengelola tugas. Penelitian ini bertujuan merancang sistem informasi Ocus (On Focus Studies) yang mengintegrasikan Pomodoro Timer, task management, dan progress tracking dalam platform mobile. Metode pengembangan menggunakan Software Development Life Cycle (SDLC) meliputi perencanaan, analisis kebutuhan, desain sistem, dan rencana implementasi. Hasil perancangan menghasilkan lima fitur utama dengan dokumentasi Use Case Diagram, Activity Diagram, Class Diagram, dan desain UI berbasis React Native. Sistem dirancang untuk meningkatkan fokus belajar hingga 60% dengan mengurangi distraksi digital melalui teknik Pomodoro yang terintegrasi]]>
<![CDATA[Analisis Ancaman Perang Siber terhadap Keamanan Nasional Indonesia: Tinjauan Eskalasi dan Mitigasi Tahun 2025 ]]>
<![CDATA[Rizki Dewantara]]>;
<![CDATA[Gina Khayatun Nufus]]>;
<![CDATA[Eko Jhony Pranata]]>;
<![CDATA[Fariz Noor Djati]]>
<![CDATA[ Journal of Applied Informatics Science Volume 2 Issue 1 (2026) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v2.i1.80
<![CDATA[Kemajuan teknologi internet telah menciptakan interkoneksi global yang memicu ancaman perang siber terhadap keamanan nasional. Masalah utama yang dihadapi Indonesia adalah tingginya kerentanan terhadap serangan digital, dengan catatan tiga koma enam puluh empat miliar anomali trafik pada awal dua ribu dua puluh lima. Penelitian ini bertujuan untuk menganalisis berbagai jenis, tingkat bahaya, dan dampak serangan siber dalam mengganggu stabilitas kedaulatan negara. Metode penelitian yang digunakan adalah kualitatif non interaktif melalui pengkajian dokumen sekunder dari jurnal ilmiah dan laporan resmi otoritas siber. Hasil penelitian menunjukkan adanya fluktuasi anomali trafik yang signifikan dengan puncak tertinggi mencapai enam ratus lima belas koma empat juta kejadian pada Juni dua ribu dua puluh lima. Tren serangan mulai bergeser dari eksploitasi teknis menuju rekayasa sosial yang menyasar celah psikologis pengguna. Kesimpulannya, Indonesia masih berada dalam kategori negara rentan sehingga diperlukan penguatan regulasi serta peningkatan kapasitas sumber daya manusia untuk menghadapi evolusi ancaman siber.]]>
<![CDATA[XSentiment-HS: Hierarchical CNN-BiGRU-SVM with Explainable for Indonesian Multi-Level Hate Speech Detection ]]>
<![CDATA[Gina Khayatun Nufus]]>;
<![CDATA[Rizki Dewantara]]>;
<![CDATA[Ardi Susanto]]>;
<![CDATA[Sokid]]>;
<![CDATA[Lia Farhatuaini]]>;
<![CDATA[Jaka Septiadi]]>;
<![CDATA[Mohammad Raihan Akbar]]>
<![CDATA[ Journal of Applied Informatics Science Volume 2 Issue 1 (2026) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v2.i1.81
<![CDATA[Deteksi ujaran kebencian pada media sosial menuntut interpretasi teks yang kompleks karena sifatnya yang spontan dan ambigu, terutama dalam bahasa Indonesia yang kaya akan slang. Tantangan utama saat ini adalah keterbatasan penelitian sebelumnya yang mayoritas hanya melakukan klasifikasi biner tanpa mendeteksi tingkat keparahan konten. Penelitian ini mengusulkan XSentiment-HS, sebuah model deep learning hierarkis dua tahap untuk deteksi multi-tingkat hate speech. Arsitektur model menggabungkan Convolutional Neural Networks (CNN) untuk ekstraksi fitur lokal dan Bidirectional Gated Recurrent Unit (BiGRU) untuk menangkap ketergantungan kontekstual jangka panjang. Model ini juga diperkuat dengan mekanisme Multi-Head Attention dan Support Vector Machine (SVM) sebagai classifier final. Melalui integrasi ini, XSentiment-HS diharapkan mampu mengatasi tantangan ekstraksi fitur dan polisemi secara lebih efektif dibandingkan metode konvensional.]]>
<![CDATA[Prototype of an Internet of Things-Based Irrigation System Using Soil Moisture Sensors for Monitoring Rice Field Drought in Lape Village ]]>
<![CDATA[Yudi Mulyanto]]>;
<![CDATA[Eri Sasmita Susanto]]>;
<![CDATA[Syafira Gestiana]]>;
<![CDATA[Yunanri W]]>
<![CDATA[ Journal of Applied Informatics Science Volume 2 Issue 1 (2026) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v2.i1.87
<![CDATA[Water management in rice fields remained a challenge, especially during drought conditions caused by suboptimal manual irrigation systems. Inaccurate timing and water volume often led to insufficient water supply for crops. This study aimed to develop a prototype of an automatic irrigation system based on the Internet of Things using ESP32 and a fuzzy logic method to reduce the risk of drought. The system monitored field conditions and controlled irrigation automatically through a web-based platform by utilizing soil moisture sensors and ultrasonic sensors. The research method employed a quantitative experimental approach through system design and testing. The results showed that the system was capable of automatically controlling water gates and pumps based on fuzzy logic output, enabling precise irrigation. This system was expected to improve water use efficiency in rice fields.]]>
<![CDATA[Design and Build a Website-Based Waste Alms Management Information System Using the Laravel Framework (Case Study of KSM Jameela Brang Biji Sumbawa) ]]>
<![CDATA[Yudi Mulyanto]]>;
<![CDATA[Eri Sasmita Susanto]]>;
<![CDATA[Arzikman]]>;
<![CDATA[I Made Widiarta]]>;
<![CDATA[Fahri Hamdani]]>
<![CDATA[ Journal of Applied Informatics Science Volume 2 Issue 1 (2026) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v2.i1.89
<![CDATA[Waste management remains a crucial issue in various regions, including Sumbawa. KSM Jameela Brang Biji took the initiative to manage waste through a garbage alms program. However, the processes of recording, managing donor data, and reporting are still conducted manually, making them prone to errors, lacking transparency, and highly inefficient. Therefore, this research aims to design and build a website-based Garbage Alms Management Information System using the Laravel framework to facilitate KSM Jameela's operations. The software development applies the Agile Scrum method, which allows for quick iterations and adaptation to user needs. This system was built using the PHP programming language and a MySQL database. Software quality testing was conducted using the Black Box method to ensure all feature functionalities operate according to specifications, and the White Box method to evaluate the internal logical structure of the code. The research results indicate that the developed system successfully digitalizes the garbage alms management process, ranging from donor registration and waste transaction recording to real-time report generation. In conclusion, the implementation of this system is proven to significantly improve operational efficiency, data accuracy, and management transparency, thereby supporting KSM Jameela in optimizing the garbage alms program and encouraging broader community participation.]]>
<![CDATA[Sistem Pendukung Keputusan Penentuan Siswa Berprestasi Menggunakan Metode Weighted Product Berbasis GUI Python pada SMK Plus Al Hilal Tegalgubug ]]>
<![CDATA[Sokid]]>;
<![CDATA[Ananda Sathria Maulana Amri]]>;
<![CDATA[Afifah Zayyin Amatillah]]>
<![CDATA[ Journal of Applied Informatics Science Volume 2 Issue 1 (2026) ]]>
Publisher : <![CDATA[GWS Tech Solution ]]>
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DOI: 10.65897/jais.v2.i1.92
<![CDATA[Penentuan siswa berprestasi di SMK Plus Al Hilal Tegalgubug selama ini dilakukan secara manual dengan penilaian yang bersifat subjektif dan membutuhkan waktu lama. Penelitian ini bertujuan untuk membangun Sistem Pendukung Keputusan (SPK) penentuan siswa berprestasi menggunakan metode Weighted Product (WP) berbasis aplikasi GUI Python dengan database MySQL. Penelitian menggunakan metode pengembangan sistem Waterfall dan melibatkan 43 siswa kelas XII sebagai alternatif dengan lima kriteria penilaian, yaitu nilai akademik, kehadiran, sikap, prestasi non-akademik, dan pelanggaran. Hasil penelitian menunjukkan sistem yang dibangun mampu menghasilkan peringkat siswa berprestasi secara objektif dan konsisten untuk tiga program keahlian: TJKT, TO, dan AKL. Pengujian sistem menggunakan Black Box Testing menunjukkan seluruh fitur berjalan sesuai kebutuhan. Sistem ini diharapkan dapat membantu pihak sekolah dalam pengambilan keputusan yang lebih efisien dan transparan]]>
