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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 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
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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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2107.927 KB) | DOI: 10.34288/jri.v7i3.374

Abstract

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.
Pendekatan Data Mining Dengan Algoritma K-Means Untuk Klasterisasi Faktor Perceraian Di Jawa Barat Andini, Vina; Hananto, April Lia; Priyatna, Bayu; Hananto, Agustia
JURNAL PETISI (Pendidikan Teknologi Informasi) Vol. 7 No. 2 (2026): JURNAL PETISI (Pendidikan Teknologi Informasi)
Publisher : Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/jurnalpetisi.v7i2.5560

Abstract

Abstrak: Penelitian ini dilatarbelakangi oleh tingginya angka perceraian di Provinsi Jawa Barat yang menunjukkan variasi faktor penyebab antarwilayah, sehingga diperlukan analisis kuantitatif berbasis data untuk mengidentifikasi pola pengelompokan determinannya. Tujuan penelitian ini adalah menganalisis konfigurasi klaster faktor penyebab perceraian serta mengidentifikasi faktor dominan pada masing-masing kelompok wilayah menggunakan pendekatan data mining. Metode yang digunakan adalah K-Means Clustering berbasis unsupervised learning terhadap data sekunder Open Data Jabar periode 2017–2024, dengan enam variabel utama yaitu ekonomi, KDRT, kawin paksa, zina, madat, dan cacat badan. Penentuan jumlah klaster dilakukan menggunakan Elbow Method, evaluasi model menggunakan Silhouette Coefficient, serta visualisasi pola dilakukan melalui Principal Component Analysis (PCA). Hasil penelitian menunjukkan terbentuknya tiga klaster dengan nilai Silhouette sebesar 0,61 yang mengindikasikan kualitas pemisahan klaster yang baik. Cluster pertama didominasi faktor ekonomi, cluster kedua menonjol pada faktor zina dan madat, sedangkan cluster ketiga menunjukkan kombinasi tekanan ekonomi, KDRT, dan kawin paksa. Temuan ini menegaskan bahwa perceraian di Jawa Barat dipengaruhi oleh pola determinan yang berbeda antarwilayah. Penelitian ini menyimpulkan bahwa pendekatan K-Means efektif dalam mengidentifikasi struktur laten faktor perceraian dan merekomendasikan kebijakan pencegahan yang disesuaikan dengan karakteristik klaster serta pengayaan variabel dan metode pada penelitian selanjutnya
Design of an Enterprise Architecture for Monitoring IT Services and Infrastructure Using TOGAF ADM at PT Fratama Kencana Gemilang Karina; Hananto, April Lia; Priyatna, Bayu; Hananto, Agustia
J-INTECH ( Journal of Information and Technology) Vol 14 No 01 (2026): Journal of Information and Technology
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v14i01.2275

Abstract

The management of information technology infrastructure at PT Fratama Kencana Gemilang currently faces significant operational challenges in its day-to-day operations. This is due to the device monitoring mechanisms currently in place, which remain manual and fragmented across units, resulting in the IT team often only becoming aware of technical issues after receiving user complaints. This reactive approach inevitably hinders company productivity, particularly regarding server services that form the core of the business. Therefore, this study aims to design a more proactive, automated, and integrated enterprise system monitoring architecture using the TOGAF ADM (The Open Group Architecture Framework Architecture Development Method) framework. Through this approach, it is expected that all of the company’s technology assets can be centrally monitored and aligned with long-term strategic business objectives. This research employs a qualitative descriptive approach conducted through direct observation of the existing system infrastructure and in-depth architectural modeling. This design process covers various key domains in a structured manner, ranging from the vision domain, business architecture, information system architecture, to the supporting technology infrastructure. The research results indicate that the proposed open-source-based monitoring system design has successfully met the company’s functional and technical requirements comprehensively. This is evidenced by the results of the expert validation process (expert review), which yielded an average score of 4.5 out of 5.0. These results confirm that the designed system is highly effective in providing real-time and accurate visibility into infrastructure performance. This study concludes that the proposed architecture and resulting blueprint are highly suitable to serve as the primary reference for company management in enhancing the reliability of their IT services. The implementation of this design is expected to accelerate the troubleshooting process and minimize the risk of future system failures.
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

Abstract

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

Abstract

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.
Klasifikasi Barang NG Berdasarkan Dataset Menggunakan Algoritma C.45 Studi Kasus: Perusahaan Manufaktur XYZ Jasmine Dina Sabila; Tukino, Tukino; Agustia Hananto
Jurnal Ekonomi Manajemen Sistem Informasi Vol. 6 No. 6 (2025): Jurnal Ekonomi Manajemen Sistem Informasi (Juli - Agustus 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jemsi.v6i6.5644

Abstract

Perusahaan XYZ adalah perusahaan asal Jepang yang bergerak di bidang otomotif, khususnya dalam produksi suku cadang. Produk utamanya adalah perakitan selang untuk sistem pendingin udara (air-conditioning hose assemblies) untuk kendaraan Original Equipment Manufacturer (OEM). Departemen produksi Final Inspection bertugas memastikan bahwa barang produksi memenuhi standar kualitas sesuai dengan Work Instruction (WI) dan spesifikasi dimensi berdasarkan gauge. Dalam pelaksanaan tugasnya, apabila ditemukan Not Good (NG), barang tersebut akan dipisahkan dari barang OK, kemudian ditandai dan disisihkan untuk dianalisis lebih lanjut. Pencatatan barang Not Good (NG) ini dilakukan melalui Website Worktop, Dimana data dapat diakses kapan saja dan mencakup jenis, jumlah, serta masalah NG (not good). Sistem ini membantu pelaporan real-time dan mempermudah pemantauan data produksi. Dari hasil input logbook, ditemukan adanya NG (not good) yang berulang pada proses produksi. Kondisi NG (not good) yang berulang ini menyebabkan gangguan pada waktu cycle time, sehingga berdampak pada efisiensi produksi. Data hasil input logbook yang belum diolah menjadi knowledge dapat membantu membuat keputusan departemen produksi dengan mengklasifikasikan data NG (not good) menjadi kategori keparahan NG (not good) menggunakan data mining diharapkan dapat membentuk pola untuk mendukung pengambilan keputusan yang baik.
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

Abstract

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

Abstract

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.
Co-Authors Abdul Hafiz Adila Rahmawati Afif Hakim Afra, Alfina Fadhilah Agneresa Agneresa Agus Supriyanto Alfiansyah, Muhammad Rindra ali, agus alzahra, alika aziza Amir Amir Amri Abdulah Andini, Vina Anggi Octa Fadilah Angraeni, Rahmah Nur Annam, Dyno Syaiful Apriade Voutama Apriani, Fitria 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 Azizah, Fathin Putri Baenil Huda Baenil Huda Baenil Huda Baenil Huda Bayu Priyatna Bayu Yoga Astario Bilqis Amalia Utari Cepi Budiansyah, Ade Deva Defrina Aldeana Dodi Mulyadi Dodi Mulyadi Dyno Syaiful Annam Eko Pramono Elfina Novalia Elfinanovalia , Elfinanovalia Emilia Sukmawati, Cici Erlyta Hares Fatmanisa Mumpuni Delta Maharani Fauzi Ahmad Muda Ferdiansyah, Indra FIKRI HAIKAL Fitria Nur Apriani Fitria Nurafriani Fitria Nurapriani Fitria Nurapriani Fizra Firdaus Nillan Goenawan Brotosaputro Hadaya Abhista Reswara Handayani, Citra 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 Novalia, Elfina Nur Widyartha, Yogi Nur ‘Azah Nurajizah, Dhea Nurapriani, Fitria Nurfajria, Dera Nurhayati Nurlaelasari, Euis Paryono, Tukino Pradana Rizki Maulana Pratama, Tito Chaerul Priyatna, Bayu Priyatna, Bayu Puspita Sari, Desti Rahdiana, Nana Rahmatiani, Lusiana Ramadanti, Anita Khansa Rati Ratnasari Ratna Juwita, Ayu Rini Mayasari Rosalina, Elsa 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 Sifa, Sifa Rismawati Sigit Budi Nugroho Silvana Nazuah Siti Masruroh Sri Wahyuni Suhara, Ade Sukarman Sukarman Sukarman Sukarman Sunarya, Edwin Yohanes Supriyanto, Danang Susilo, Hendri 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, Tukino Utomo, Ainur Alam Budi Wahyu, Pratama Widyanti, Tyas Witulas Ambang Cahyati Yoga Astario, Bayu Zein, Selmia Aulia