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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi JOIV : International Journal on Informatics Visualization RABIT: Jurnal Teknologi dan Sistem Informasi Univrab SMARTICS Journal Syntax Literate: Jurnal Ilmiah Indonesia JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Edukasi Islami: Jurnal Pendidikan Islam JURIKOM (Jurnal Riset Komputer) Jurnal Riset Informatika Journal of Information System, Applied, Management, Accounting and Research METIK JURNAL Jurnal Informatika Kaputama (JIK) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Ilmu Komputer dan Bisnis Jurnal Teknologi Informasi dan Multimedia Jurnal Ekonomi Manajemen Sistem Informasi Systematics Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Jurnal Informasi dan Teknologi Buana Information Technology and Computer Sciences (BIT and CS) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) Infotek : Jurnal Informatika dan Teknologi Journal of Applied Data Sciences Jurnal Cahaya Mandalika Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) International Journal of Computer and Information System (IJCIS) International Journal of Engineering, Science and Information Technology Djtechno: Jurnal Teknologi Informasi Jurnal Tika Instal : Jurnal Komputer Dirgamaya: Jurnal Manajemen dan Sistem Informasi Jurnal Minfo Polgan (JMP) Jurnal Teknik Mesin Mechanical Xplore Jurnal Informatika Teknologi dan Sains (Jinteks) Abdimas Jurnal Sistem Informasi STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Jurnal Ilmiah Teknik Informatika dan Komunikasi Innovative: Journal Of Social Science Research Bulletin of Network Engineer and Informatics (BUFNETS) Jitu: Jurnal Informatika Utama VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial Jurnal PETISI (Pendidikan Teknologi Informasi) JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Journal of Information Technology

Hananto, Agustia

Fakultas Ilmu Komputer, Program Studi Sistem Informasi, Universitas Buana Perjuangan Karawang, Karawang, Indonesia

Author-ID : 1258808

Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering 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 Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Perancangan Sistem Rekomendasi Produk pada E-Commerce Toko Sendal Grosir Menggunakan Algoritma Content-Based Filtering Novalia, Elfina; Awal, Elsa Elvira; Hananto, Agustia; Tarmuji, Tarmuji; Setiawan, Pratama Wahyu
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 4 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i4.2130

Perkembangan teknologi informasi memberikan pengaruh besar terhadap persaingan bisnis, khususnya di sektor penjualan grosir. Toko sendal grosir sebagai usaha berskala kecil hingga menengah seringkali menghadapi tantangan dalam mengelola transaksi, inventaris, dan promosi produk secara efektif. Penelitian ini bertujuan untuk merancang dan membangun sistem e-commerce menggunakan Laravel dan Nuxt.js yang dilengkapi dengan fitur rekomendasi produk berbasis algoritma Content-Based Filtering. Laravel digunakan di sisi backend karena struktur arsitektur MVC yang terorganisir, keamanan data, serta kemudahan pengembangan. Sementara itu, Nuxt.js digunakan di sisi frontend untuk menghadirkan antarmuka pengguna yang responsif dan interaktif melalui dukungan server-side rendering (SSR). Proses perancangan meliputi analisis kebutuhan, desain antarmuka, dan implementasi modul seperti halaman utama, detail produk, checkout, serta logika rekomendasi. Sistem rekomendasi memanfaatkan atribut produk seperti kategori, warna, ukuran, dan harga, dengan perhitungan kemiripan menggunakan metode cosine similarity. Meskipun sistem rekomendasi masih dalam tahap perancangan, integrasinya bertujuan untuk meningkatkan personalisasi dan pengalaman belanja pengguna. Sistem ini juga dirancang agar skalabel dan mudah dikembangkan di masa depan.

RECONSTRUCTION OF ISLAMIC EDUCATION CURRICULUM MANAGEMENT BASED ON DEEP LEARNING IN THE ERA OF DIGITAL TRANSFORMATION Masruroh, Siti; Rahmatiani, Lusiana; Hananto, Agustia; Utomo, Ainur Alam Budi; Ali, Agus
Edukasi Islami: Jurnal Pendidikan Islam Vol. 14 No. 04 (2025): Edukasi Islami: Jurnal Pendidikan Islam
Publisher : Sekolah Tinggi Agama Islam Al Hidayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30868/ei.v14i04.9293

Background: The reconstruction of the Islamic Education (PAI) curriculum is essential in responding to the changes brought by the digital era. Purpose: This article proposes a deep learning–based curriculum management model for Islamic education as a form of digital transformation within Islamic educational institutions. The approach emphasizes the development of deep understanding, spiritual reflection, and the integration of Islamic values into all aspects of the curriculum. Method: The research employs a conceptual-theoretical (library research) approach with a comparative analysis of literature on curriculum management, deep learning theory, and best practices in contemporary Islamic education. Result: The findings reveal key components of deep learning–based curriculum management, including adaptive curriculum design, data-driven teacher training, longitudinal evaluation, and managerial-technological synergy. Conclusion: Practical recommendations are directed toward transforming curriculum policies in madrasahs and Islamic schools.

Implementasi Sistem Pengadaan Material pada SAC dengan Metode Waterfall Deva Defrina Aldeana; Agustia Hananto; Tukino Tukino; Fitria Nurapriani; Elfina Novalia
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.745

Decision support systems in the material procurement process are important solutions to improve operational efficiency and accuracy, especially in retail companies such as SAC (Store Adede Cikampek) which is engaged in the sale of dolls. This study aims to design and build a web-based material procurement system that is able to manage the ordering process, stock recording, verification of incoming goods, and reporting automatically. The system development was carried out using the Waterfall method because its systematic stages are very suitable for handling the material procurement process at SAC which was previously manual and undocumented. With the Waterfall approach, each stage such as needs analysis, design, implementation, testing, to maintenance can be carried out in a structured manner, thus ensuring that the system built is able to overcome problems such as late ordering and errors in recording raw materials. At the implementation stage, this system was developed with various features such as supplier data management, raw material stock management, order history, and periodic report generation. To ensure the effectiveness of the system, testing was carried out using the System Usability Scale (SUS) approach involving twenty respondents from internal operational parties. The evaluation results showed that the developed system succeeded in meeting user needs and increasing the effectiveness of the procurement process by obtaining an average score of 96 which was categorized as "Excellent". This system is also considered easy to use, efficient, and can support the decision-making process in real time. It is expected that the implementation of this system can not only solve the problem of material procurement in SAC, but can also be used as a model for implementing similar systems in similar businesses. This research provides a practical contribution in the development of an integrated information system to support more optimal business processes.

Analisis Segmentasi Pelanggan Menggunakan K-Means Clustering Untuk Optimalisasi Penjualan Sembako Adila Rahmawati; Tukino ,; Agustia Hananto; Fitria Nurapriani
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 8, No 2 (2025): Juli
Publisher : Akademi Ilmu Komputer Ternate

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v8i2.352

Abstrak: Sembako sebagai kebutuhan pokok memiliki peranan penting dalam kehidupan masyarakat. Dengan meningkatnya persaingan di sektor ini, pelaku usaha dituntut untuk memahami perilaku konsumen secara lebih mendalam agar strategi pemasaran yang dijalankan menjadi lebih efektif. Salah satu metode yang bisa dimanfaatkan adalah segmentasi pelanggan berbasis data transaksi. Penelitian ini bertujuan menerapkan algoritma K-Means Clustering untuk mengelompokkan pelanggan dalam rangka mendukung peningkatan penjualan sembako. Data yang digunakan meliputi empat variabel utama: jumlah pesanan, uang muka, total transaksi, dan pelunasan. Proses awal dilakukan melalui pembersihan dan normalisasi data menggunakan StandardScaler. Penentuan jumlah cluster terbaik dilakukan dengan metode Elbow dan dikonfirmasi menggunakan nilai Silhouette Score. Hasil penelitian menunjukkan bahwa empat cluster merupakan segmentasi paling optimal dengan nilai Silhoutette Score sebesar 3,99. Cluster 2 memberikan kontribusi tertinggi terhadap total penjualan dan jumlah pelanggan sebesar 35,62%, disusul oleh cluster 1 sebesar 30,14%, cluster 3 sebesar 21,92%, sedangkan cluster 0 memiliki kontribusi terendah sebesar 12,33%. Visualisasi scatter plot menunjukkan distribusi antar-cluster yang cukup jelas. Segmentasi ini berguna untuk merancang strategi pemasaran yang lebih tepat sasaran.Kata kunci: Segmentasi Pelanggan, K-Means Clustering, Elbow Method, Silhouette Score, Penjualan SembakoAbstract: Basic necessities such as staple foods play an important role in people's lives. With increasing competition in this sector, business actors are required to understand consumer behavior in more depth so that the marketing strategies implemented become more effective. One method that can be utilized is customer segmentation based on transaction data. This study aims to apply the K-Means Clustering algorithm to group customers to support increased sales of necessities. The data used includes four main variables: number of orders, down payment, total transactions, and settlement. The initial process is carried out through data cleaning and normalization using StandardScaler. Determination of the best number of clusters is carried out using the Elbow method and confirmed using the Silhouette Score value. The results of the study showed that four clusters were the most optimal segmentation with a Silhouette Score value of 3.99. Cluster 2 contributed the highest to total sales and number of customers 35.62%, followed by Cluster 1 by 30.14%, cluster 3 by 21.92%, and Cluster 0 had the lowest contribution by 12.33%. Scatter plot visualization shows a fairly clear distribution between clusters. This segmentation is useful for designing more targeted marketing strategies.Keywords: Customer Segmentation, K-Means Clustering, Elbow Method, Silhouette Score, Grocery Sales

MODELING THE DISTRIBUTION OF HIV CASES WITH K-MEANS CLUSTERING CASE STUDY OF WEST JAVA PROVINCE Muhammad Difa Prakoso Fuadi; Tukino; Agustia Hananto; Fitria Nurafriani
Jurnal Riset Informatika Vol. 7 No. 3 (2025): Juni 2025
Publisher : Kresnamedia Publisher

In Indonesia, the problem of HIV/AIDS is a serious concern because the trend of cases tends to increase in several regions, including in West Java Province, 2018 data from the Health Office shows a significant variation in the number of HIV cases among districts and cities in the province, in this journal, a visualization process is carried out using Google Colaboratory (Google Colab) to provide an overview of the distribution pattern of cases based on the results of the K-Means Clustering algorithm. The results showed the existence of three main clusters, namely areas with low, medium, and high numbers of cases. Large cities such as Bandung and Bekasi were in the group with the highest number of cases, while peripheral and rural areas showed lower numbers of cases. This finding is expected to be the basis for formulating more effective health policies, especially in education programs, early detection, and community-based interventions to support the goal of eliminating HIV by 2030, then what can be done is to carry out intervention strategies or steps to prevent the spread of HIV tailored to the risk level of each cluster resulting from clustering analysis. Local governments are expected to utilize the results of this mapping to develop more detailed prevention strategies according to the characteristics of each region.

ANALISIS INTERAKTIF KASUS KEKERASAN ANAK DI INDONESIA MENGGUNAKAN DASHBOARD POWER BI Bilqis Amalia Utari; April Lia Hananto; Agustia Hananto
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 2 (2026): EDISI 28
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i2.7346

Kekerasan terhadap anak merupakan permasalahan serius di Indonesia yang berdampak pada perkembangan fisik, psikologis, dan sosial anak. Penelitian ini bertujuan untuk menganalisis data kasus kekerasan terhadap anak di Indonesia serta mengimplementasikan dashboard interaktif berbasis Microsoft Power BI sebagai media visualisasi dan eksplorasi data. Data yang digunakan bersumber dari Sistem Informasi Gender dan Anak (SIGA). Metode penelitian meliputi pengumpulan data, pre-processing, analisis distribusi kasus, pengembangan dashboard interaktif, serta evaluasi menggunakan System Usability Scale (SUS). Hasil penelitian menunjukkan bahwa kekerasan seksual merupakan jenis kekerasan yang paling dominan dengan persentase sebesar 46,05%. Dashboard yang dikembangkan mampu menyajikan informasi secara visual dan interaktif sehingga memudahkan pengguna dalam memahami distribusi kasus berdasarkan wilayah dan jenis kekerasan. Hasil evaluasi terhadap 35 responden menunjukkan skor SUS sebesar 80,2 yang termasuk dalam kategori “Good”. Dengan demikian, dashboard interaktif yang dikembangkan dapat membantu memahami pola distribusi kasus serta mendukung pengambilan keputusan berbasis data dalam upaya pencegahan dan penanganan kekerasan terhadap anak di Indonesia.

Implementasi Deteksi Objek Penggunaan Helm Dengan Metode YOLOv10 Hadaya Abhista Reswara; Bayu Priyatna; Agustia Hananto; Tukino Tukino
Jurnal Minfo Polgan Vol. 14 No. 1 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i1.15010

Keselamatan berkendara, khususnya bagi pengendara sepeda motor, merupakan isu krusial, dan penggunaan helm secara konsisten terbukti dapat mengurangi risiko cedera kepala. Deteksi otomatis penggunaan helm melalui analisis citra dapat menjadi solusi efektif untuk memantau dan meningkatkan kepatuhan terhadap peraturan keselamatan. Dalam penelitian ini, model YOLOv10, sebuah arsitektur deteksi objek real-time terbaru, dilatih dan diuji menggunakan dataset citra yang relevan. Kinerja model dievaluasi berdasarkan metrik deteksi objek standar seperti precision, recall, F1-score, dan mean Average Precision (mAP). Berdasarkan hasil pelatihan dengan 300 citra dan 60 data validasi, model YOLOv10 berhasil mencapai nilai mAP50 sebesar 99,5%. Sementara itu, hasil pengujian menggunakan 20 citra menghasilkan akurasi sebesar 95%, menunjukkan bahwa sistem mampu mendeteksi penggunaan helm dengan cukup baik.

Web-Based Warehouse Inventory System Using the Waterfall Method: A Case Study at Satria Wholesale Mart Melisa; Tukino; Agustia Hananto; April Lia Hananto
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.610

In the digital era, manual warehouse inventory management is still challenging for many business people, including Satria Wholesale Mart. The main problems also faced are irregularities in recording incoming and outgoing goods, low accuracy of stock data, delays in reporting, and difficulties in tracking stock in real time. This finding aims to design and build an efficient and effective web-based warehouse inventory system using the Waterfall method. The finding method used is applied findings with a descriptive qualitative approach, which also aims to describe in detail and systematically the phenomena that also occur in the field and how new systems can be developed to solve these problems. The findings show that applying the waterfall method in developing a web-based inventory information system at PT Herso Ticep Indonesia has also yielded satisfactory results. The system that has also been developed has succeeded in meeting the needs of companies in inventory management, improving operational efficiency, and optimizing inventory management. These findings imply that companies can improve their operational efficiency and optimize inventory management by implementing this information system. The findings could also guide other companies that want to develop similar systems.

Text Data Classification Using the SVM Model on the LMDB Minecraft Dataset Bayu Yoga Astario; Tukino; Agustia Hananto; Fitria Nurapriani; Elfina Novalia
Jurnal Informasi dan Teknologi 2025, Vol. 7, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.vi0.620

Text classification is a fundamental task in Natural Language Processing (NLP) aimed at categorizing text data into predefined classes. This study implements a Support Vector Machine (SVM) model to classify text data from the LMDB Minecraft Dataset, which contains user reviews of the Minecraft movie. The research involves text preprocessing, TF-IDF feature extraction, and SVM model training. The classification results are evaluated using accuracy, precision, recall, f1-score, and confusion matrix metrics. The comment data is also analyzed based on the timing of their appearance in the movie. All processes are visualized in diagrams; the final results are saved in Excel format. The SVM model performs adequately on informal and domain-specific language data, providing a foundation for future research in similar text classification contexts.

Web-Based Tray Monitoring Application Using CodeIgniter (CI) Framework: Case Study of PT SIIX EMS Indonesia Sidqi Awaludin; Agustia Hananto; Elfina Novalia
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/7t2cff37

PT SIIX EMS Indonesia is a manufacturing company that utilizes trays as a means for temporary storage and component distribution across its production lines. However, the monitoring and recording process for these trays is still conducted manually, leading to various issues such as recording errors, data loss, delays in information delivery, and difficulties in real-time tray tracking. These problems result in decreased operational efficiency and sub-optimal decision-making by management. Therefore, this study aims to design and develop a web-based tray monitoring information system to enhance the effectiveness of tray management within the company. The research methodology includes data collection techniques through direct observation and literature review. Meanwhile, the system development follows the Waterfall model, consisting of requirements analysis, system design, implementation, testing, and maintenance. The application was developed using the CodeIgniter framework with PHP programming language and MySQL as the database for data storage. The results indicate that the developed web-based tray monitoring system successfully integrates data for recycled trays, new trays, and scrap trays into a centralized system while providing a real-time monitoring dashboard. System testing using the Black Box Testing method shows that all application features function according to user requirements. Consequently, the developed system improves data recording accuracy, accelerates the information retrieval process, and assists management in making faster and more accurate decisions at PT SIIX EMS Indonesia.

Co-Authors Abdul Hafiz Adila Rahmawati Afra, Alfina Fadhilah Agneresa Agneresa Ahmad Fauzi ali, agus alzahra, alika aziza Amir Amir Amri Abdulah Anggi Octa Fadilah Angraeni, Rahmah Nur Anita Khansa Ramadanti Annam, Dyno Syaiful Apriade Voutama Apriani, Fitria April Lia Hananto April Lia Hananto Arief Wibowo Arip Solehudin Asep Permana atikah, dwi Atmaja, Rashelin Zahra Aulia, Aldi Aviv Yuniar Rahman Aviv Yuniar Rahman Awal, Elsa Elvira Ayu Ratna Juwita Azizah, Fathin Putri Baenil Huda Baenil Huda Baenil Huda Baenil Huda Bayu Priyatna Bayu Yoga Astario Bilqis Amalia Utari Deva Defrina Aldeana Dodi Mulyadi Dodi Mulyadi Dyno Syaiful Annam Eko Pramono Elfina Novalia Elfinanovalia , Elfinanovalia Elsa Rosalina Emilia Sukmawati, Cici Erlyta Hares Euis Nurlaelasari Fatmanisa Mumpuni Delta Maharani Ferdiansyah, Indra FIKRI HAIKAL Fitria Nur Apriani Fitria Nurafriani Fitria Nurapriani Fitria Nurapriani Fizra Firdaus Nillan Goenawan Brotosaputro Hadaya Abhista Reswara Handayani, Citra Hemant N Chaudhari Herda Andriana Heryana, Nono Hilabi, Shofa Shofia Hilabi, Shofa Shofiah Hilabi, Shofa Shofiah Huban Kabir Huda , Baenil Huda, Baenil Ikhsan, Muhammad Daffa Ilham Fariz Asya Mubarok Indra Kurniawan Indra, Jamaludin Jasmine Dina Sabila Karina Karyadi Karyadi Khoirudin Khoirudin Khoirudin, Khoirudin Kusnadi, Akhmad Maharina Maharina Melisa Mubarok, Piky Muhamad Mammun Muhamad Rizky Arfani Muhamad Rizky Arfani Muhammad Difa Prakoso Fuadi Muhammad Khaerudin Muhammad Rindra Alfiansyah Novalia, Elfina Nur ‘Azah Nurajizah, Dhea Nurapriani, Fitria Nurfajria, Dera Nurhayati Paryono, Tukino Pradana Rizki Maulana Pratama, Tito Chaerul Priyatna, Bayu Priyatna, Bayu Puspita Sari, Desti Rahmatiani, Lusiana Rati Ratnasari Rini Mayasari Sabrina Amanda Salsabila Saefil Aripiyanto Salsabila, Nasya Setiawan, Pratama Wahyu Setiawan, Pratama Wahyu Shofa Shofia Hilab Shofa Shofia Hilabi Shofa Shofia Hilabi Shofa Shofia Hilabi Shofa Shofiah Hilabi Shofa Shofiah Hilabi Shofia Hilabi, Shofa Shofiah Hilabi, Shofa Sidqi Awaludin Sifa, Sifa Rismawati Sigit Budi Nugroho Silvana Nazuah Siti Masruroh Sri Wahyuni Sukarman Sukarman Sukarman Sukarman Sunarya, Edwin Yohanes Tamala, Evi TARMUJI TARMUJI, TARMUJI Taufik Ulhakim, Muhamad Thoyib, Imam Nurhuda Tikamori, Ghazi Tukino Tukino Tukino , Tukino Tukino Tukino Tukino Tukino Tukino Tukino, Tukino Tukino, Tukino Tukino, Tukino Utomo, Ainur Alam Budi Vina Andini Wahyu, Pratama Widyanti, Tyas Witulas Ambang Cahyati Yoga Astario, Bayu Zein, Selmia Aulia

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