Article Per Year (5 Year)
p-Index From 2021 - 2026
11.321
P-Index
This Author published in this journals
All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Prosiding SNATIF Proceeding SENDI_U Jurnal Ilmiah KOMPUTASI RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Surya Medika Jurnal Kedokteran dan Kesehatan JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal DISPROTEK Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Kreativitas PKM Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal SITECH : Sistem Informasi dan Teknologi Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science Journal of Information Systems and Informatics bit-Tech Abdi Masyarakat International Journal of Marine Engineering Innovation and Research Jurnal Sistem Komputer dan Informatika (JSON) Community Development Journal: Jurnal Pengabdian Masyarakat Indonesia Berdaya Journal of Information Technology Ampera Jurnal Promotif Preventif Jurnal Sistem Informasi Indonesian Journal of Technology, Informatics and Science (IJTIS) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Journal of Software Engineering Ampera Jurnal UNITEK Jurnal Dialektika Informatika (Detika) Global Abdimas: Jurnal Pengabdian Masyarakat Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat International Journal of Management Science and Information Technology (IJMSIT) Muria Jurnal Layanan Masyarakat PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Buletin Abdi Masyarakat (BAM) Jurnal Kalibrasi Abdi Cendekia: Jurnal Pengabdian Masyarakat Florona : Jurnal Ilmiah Kesehatan Al-DYAS : Jurnal Inovasi dan Pengabdian kepada Masyarakat Innovative: Journal Of Social Science Research Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA) Jurnal Sistem Informasi Galuh Jurnal Sistem Informasi dan Manajemen GEMBIRA (Pengabdian Kepada Masyarakat) Jurnal Ilmu Komputer dan Sistem Informasi Journal Artificial: Informatika dan Sistem Informasi Jurnal Penelitian Multidisiplin Bangsa Jurnal Bisantara Informatika Joong-Ki Galuh International Journal of Community Service and Development Health Safety Environment Journal ABDINE :Jurnal Pengabdian Masyarakat
Noor Latifah
Universitas Muria Kudus
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 125 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 125 Documents
Search

 8   9   10   11   12 
Virtualization Analisis Kinerja CPU dan RAM pada VirtualBox untuk Validasi Lingkungan IaaS Lokal Restu Prayoga, Hendrika; Latifah, Noor
Jurnal Sistem Informasi Galuh Vol 4 No 1 (2026): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v4i1.5735

Abstract

In cloud computing, the Infrastructure as a Service (IaaS) model relies heavily on virtualization technology. Developers commonly use Type-2 hypervisors as local testing environments before deploying systems to the actual cloud, with Oracle VM VirtualBox being one of the most widely used platforms. However, the additional virtualization layer can introduce performance overhead on critical resources such as CPU and RAM, potentially affecting the validity of test results. This study aims to measure the percentage of CPU and RAM performance overhead caused by VirtualBox. A comparative quantitative experiment was conducted by evaluating the performance of the Host Operating System (OS) as the baseline and the Guest OS running on VirtualBox using specialized benchmarking tools. The findings indicate increased RAM latency and reduced CPU performance. These results assist developers in optimizing resource allocation and provide essential empirical data to evaluate the feasibility of using VirtualBox as a tool for performance validation in IaaS environments. Additionally, this study highlights how variations in VirtualBox configurations—such as the number of virtual cores and the amount of allocated RAM—affect the magnitude of overhead. This demonstrates that improper configuration choices can lead to significant performance deviations when compared to physical system conditions.
Integrating the PIECES Framework with Human Computer Interaction to Evaluate User Acceptance of E-Marketplace Information Systems Fiati, Rina; Zahro, Nafi Inayati; Latifah, Noor
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1354

Abstract

This study evaluates user acceptance of E-Marketplace information systems by integrating the PIECES Framework with a Human–Computer Interaction (HCI) approach. This integration offers a comprehensive view of both technical system performance and user-centered interaction, particularly for users with disabilities. The PIECES Framework assesses system quality and operational effectiveness, while the HCI approach emphasizes usability, user experience, and interaction patterns that influence acceptance and satisfaction. Using an action research design, data were collected via questionnaires from a sample of 30 respondents. The findings indicate that user interest has a partial yet significant effect on behavior, while other variables jointly influence user engagement. Notably, there was a marked increase in user understanding of internet tools—from 27% initially not understanding application use to 91% demonstrating improved comprehension. This progress underscores the importance of accessible and user-friendly design in enhancing trust and perceived security. The results highlight the critical role of consistent interface design, clear navigation, and inclusive visual elements in promoting usability and satisfaction. The study offers valuable insights for system developers and researchers to improve E-Marketplace platforms by aligning technical performance with inclusive, user-centric design—ensuring accessibility for all users, including persons with disabilities, and driving greater digital inclusion in the evolving digital economy.
Sistem Informasi Administrasi Surat dan Dokumentasi Kegiatan Magang Berbasis Web di PT Telkom Akses Novanto, Ilham Setyo; Latifah, Noor
Al-DYAS Vol 5 No 1 (2026): FEBRUARI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/aldyas.v5i1.8350

Abstract

The development of information technology has encouraged organizations to shift manual administrative processes to digital systems to improve work efficiency and accuracy. Internship administration activities at PT Telkom Akses, particularly the management of letters and documentation related to internship activities, were previously carried out manually, which could lead to process delays, data duplication, and the risk of document loss. This study aimed to design and implement a web-based Information System for Internship Letter Administration and Activity Documentation at PT Telkom Akses. The study employed a descriptive qualitative approach with a case study method, while system development was carried out using the Waterfall Model, which includes the stages of requirements analysis, system design, implementation, and testing. Data were collected through observation, semi-structured interviews, and document analysis involving administrative staff, field supervisors, and internship students. The results show that the developed system is able to integrate the management of letter administration and internship activity documentation into a single digital platform, thereby improving the efficiency of administrative processes, the accuracy of record-keeping, as well as the security and traceability of documents. Accordingly, this information system is considered effective in supporting a more structured and sustainable management of internship administration at PT Telkom Akses.
Analisis Harga Produk Furniture Menggunakan Dashboard Business Intelligence dalam Pengambilan Keputusan Penjualan Fatmala, Indah; Latifah, Noor
Jurnal Bisantara Informatika Vol. 9 No. 2 (2025): Jurnal Bisantara Informatika (JBI) Vol. 9 No. 2 Tahun 2025
Publisher : Akademi Manajemen Informatika dan Komputer PARBINA NUSANTARA Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penentuan strategi harga menjadi aspek penting dalam industri furniture yang kompetitif. Penelitian ini bertujuan untuk menganalisis harga produk furniture menggunakan dashboard Business Intelligence sebagai alat bantu dalam proses pengambilan keputusan. Dataset yang digunakan diperoleh dari platform Kaggle, yang berisi informasi produk furniture seperti kategori, variasi warna, ukuran, serta status ketersediaan penjualan online. Metode penelitian yang digunakan adalah analisis deskriptif berbasis visual melalui dashboard BI, sehingga pola harga dapat diamati secara lebih komprehensif. Hasil analisis menunjukkan bahwa setiap kategori produk memiliki rentang harga yang berbeda, di mana kategori berukuran besar seperti sofa dan lemari memiliki harga lebih tinggi dibandingkan kategori lainnya. Selain itu, atribut produk seperti variasi warna dan status penjualan online turut mempengaruhi distribusi harga. Visualisasi yang dihasilkan membantu mengidentifikasi pola harga dominan, anomali, serta kelompok produk yang berpotensi memberikan margin keuntungan lebih tinggi. Kesimpulannya, penggunaan dashboard Business Intelligence terbukti efektif dalam memberikan insight strategis yang dapat mendukung pengambilan keputusan harga dan perencanaan penjualan di sektor furniture.
Pengembangan Dashboard Business Intelligence untuk Analisis Profil dan Kinerja Karyawan Annas fatia, Imelda; Latifah, Noor
Jurnal Bisantara Informatika Vol. 9 No. 2 (2025): Jurnal Bisantara Informatika (JBI) Vol. 9 No. 2 Tahun 2025
Publisher : Akademi Manajemen Informatika dan Komputer PARBINA NUSANTARA Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penggunaan teknologi Business Intelligence (BI) menjadi hal yang vital bagi organisasi dalam mengatur informasi karyawan dengan cepat, tepat, dan mudah untuk dianalisis. UMKM dan perusahaan berskala menengah sering menghadapi tantangan dalam mengenali profil tenaga kerja serta mengawasi indikator kinerja secara komprehensif akibat data yang terpisah dan tidak terintegrasi. Studi ini bertujuan untuk menciptakan dasbor Business Intelligence yang dapat menyajikan analisis profil dan kinerja pegawai dengan memanfaatkan dataset HRDataset_V14. Metode penelitian mencakup pengumpulan data, tahap pembersihan dan perubahan data, serta penerapan visualisasi dengan menggunakan platform Zoho Analytics. Dasbor yang dirancang menunjukkan berbagai indikator seperti sebaran demografi karyawan, status pekerjaan, tingkat keterlibatan, jenis pekerjaan, serta rentang kinerja berdasarkan sejumlah parameter. Temuan penelitian mengindikasikan bahwa dashboard BI dapat menyajikan gambaran menyeluruh mengenai karakteristik dan kinerja pegawai, sehingga membantu proses pemantauan dan pengambilan keputusan yang berlandaskan data. Hasil penelitian ini menunjukkan bahwa penggunaan dashboard BI efektif dalam membantu organisasi memahami keadaan tenaga kerjanya dengan lebih mendalam dan sistematis.
ANALISIS SENTIMEN ULASAN DI PLAYSTORE TERHADAP APLIKASI MARKETPLACE (SHOPEE, LAZADA, TOKOPEDIA) MENGGUNAKAN NAIVE BAYES DAN LOGISTIC REGRESSION Lukito, Aji; Nugroho, Fajar; Latifah, Noor
JURNAL UNITEK Vol. 18 No. 2 (2025): Juli-Desember 2025
Publisher : Sekolah Tinggi Teknologi Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52072/unitek.v18i2.1625

Abstract

Analisis sentimen ulasan di Playstore terhadap Aplikasi Marketplace (Shopee, Tokopedia, dan Lazada) Menggunakan Naive bayes dan Logistic regression bertujuan untuk mengklasifikasikan sentimen pengguna menjadi positif atau negatif berdasarkan ulasan terhadap tiga aplikasi Marketplace populer di Indonesia. Permasalahan utama dalam penelitian ini adalah bagaimana mengklasifikasikan sentimen ulasan pengguna terhadap aplikasi Marketplace Indonesia di Google Playstore secara akurat menggunakan algoritma Naive bayes dan Logistic regression, serta membandingkan performa kedua algoritma dalam melakukan klasifikasi tersebut. Data dikumpulkan dari ulasan Playstore, kemudian diproses melalui tahapan tokenization, case folding, stopword removal, dan stemming. Selanjutnya, dilakukan klasifikasi menggunakan kedua algoritma, lalu hasilnya dibandingkan. Evaluasi dilakukan dengan metrik Accuracy, Precission, Recall, dan F1-score untuk menilai efektivitas masing-masing algoritma terhadap data yang tidak seimbang. Hasil penelitian ini diharapkan dapat menunjukkan algoritma yang lebih optimal untuk analisis sentimen, serta mendukung pengembangan strategi layanan e-commerce berbasis data secara lebih akurat dan efisien.  
Artificial Intelligence in Integrated Marine Observing Systems: A Comprehensive Review Soni Adiyono; Muhammad Arifin; Noor Latifah; Eko Darmanto
International Journal of Marine Engineering Innovation and Research Vol. 10 No. 1 (2025)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v10i1.4754

Abstract

The marine ecosystem is vital for sustaining life on Earth, yet its vastness and complexity present significant challenges for effective monitoring and management. Integrated Marine Observing Systems (IMOS) have emerged as essential tools for understanding and protecting marine environments. This study aims to systematically review the integration of artificial intelligence (AI) into IMOS, focusing on its contributions to data processing, biodiversity monitoring, and environmental change analysis. A systematic literature review (SLR) method is employed to analyze existing research and identify key AI techniques and their applications in marine and oceanographic studies. Results indicate that deep learning is the most widely used AI method, with marine research being the primary application domain. Other areas, such as environmental monitoring and industrial systems, also demonstrate considerable potential. However, data inconsistency, operational limitations, and the lack of standardized frameworks remain significant barriers. This review highlights the transformative role of AI in enhancing IMOS capabilities and provides recommendations for addressing existing challenges to support sustainable marine management.
Implementasi Design Thinking dalam Perancangan UI/UX pada Website Penjualan Tiket Konser Ricko Muhammad Firdaus; Noor Latifah
bit-Tech Vol. 7 No. 2 (2024): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i2.1970

Abstract

Musik merupakan seni yang berperan penting dalam kehidupan manusia, baik secara budaya maupun emosional. Salah satu wujud ekspresi musik adalah konser, yang menawarkan hiburan dan peluang keuntungan. Namun, penggemar konser sering menghadapi kesulitan, seperti mendapatkan tiket resmi, akses informasi detail acara, serta menemukan teman untuk menghadiri konser bersama. Penelitian ini bertujuan untuk mengembangkan platform berbasis web bernama Concerto, yang dirancang untuk mempermudah pengguna mencari dan membeli tiket konser, serta menciptakan pengalaman sosial melalui fitur pencarian teman. Subjek penelitian ini adalah penggemar konser musik, dengan data dikumpulkan melalui wawancara dan dianalisis menggunakan metode Design Thinking yang melibatkan lima tahap: Empathize, Define, Ideate, Prototype, dan Test. Hasil penelitian menunjukkan bahwa platform Concerto mampu mengatasi berbagai kendala pengguna melalui fitur pencarian konser, sistem pembelian tiket yang mudah, serta pencarian teman dengan minat musik serupa. Uji coba menunjukkan tingkat keberhasilan penggunaan fitur mencapai rata-rata 85%. Namun, platform ini memiliki kekurangan pada fitur notifikasi, yang diperlukan untuk memberikan pembaruan real-time kepada pengguna, seperti pengingat tiket atau perubahan jadwal konser. Penelitian ini memberikan kontribusi penting dalam menciptakan solusi digital untuk penggemar konser, meskipun pengembangan lebih lanjut diperlukan untuk meningkatkan fungsionalitas platform. Penambahan fitur notifikasi di masa mendatang dapat meningkatkan pengalaman pengguna secara signifikan dan memperkuat daya saing platform Concerto.
Optimizing Hotel Room Booking Patterns Using Apriori and FP-Growth Methods: A Case Study at Sapphire Boutique Hotel Putri Handayani; Noor Latifah; Fajar Nugraha
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1113

Abstract

The hospitality industry utilizes digital reservation systems that generate large volumes of hotel room booking transaction data. However, these data are often not optimally analyzed to support data-driven decision making. This study aims to analyze and compare the performance of the Apriori and FP-Growth algorithms in discovering association patterns in hotel room bookings. The research employs a quantitative approach using Association Rule Mining (ARM) techniques and the CRISP-DM framework on booking transaction data from Sapphire Boutique Hotel. The dataset consists of booking transaction data from Sapphire Boutique Hotel, including room type, additional facilities, booking time, and length of stay attributes. Algorithm performance is evaluated based on computation time, the number of generated association rules, and rule quality measured using support, confidence, and lift values. The results indicate that both algorithms are capable of generating relevant booking patterns; however, FP-Growth demonstrates superior performance in terms of computational efficiency and the number of patterns produced compared to Apriori. These findings are expected to support the development of recommendation systems and data-driven marketing strategies in the hospitality industry.
Clustering High School Students’ Career Interests Using K-Means with Multi-Metric Validation latifah, noor; fatia, imelda annas; adiyono, soni
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 2 (2026): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.117507

Abstract

Understanding students' career interests is essential for supporting effective career guidance programs in schools. However, identifying patterns of career interest among students is often challenging due to the diversity of motivational, cognitive, and planning-related factors. This study aims to analyze the segmentation of high school students' career interests using clustering techniques based on questionnaire data. This study uses the K-means algorithm run in conjunction with the Elbow Method to find the most appropriatenumber of clusters. The data preparation stages included cleaning the data, performing normalization using the Min-Max scaling method, and reducing the number of variables using principal component analysis (PCA) to facilitate visualization and initial analysis. In addition, cluster validity was evaluated using several internal validation indices, namely the silhouette score, Davies-Bouldin Index, and Calinski-Harabasz Index. The experimental results show that the data can be grouped into three clusters representing different levels of career interest characteristics among students. The identified clusters reveal variations in motivation, career planning clarity, and expectations for future careers. These findings provide useful insights for school counselors in designing targeted career guidance strategies.
Co-Authors - Supriyono Achmad Fauzi Adzani Ghani Ilmannafian Agus Tiyo, Muhammad Savra Ahyudiya, Higan Nanda Ainur, Ghefira Al Maududi, Abul A'la Al-Maududi, Abul Ala Andi Agus Setyawan Andriawan, Yogi Andriawan, Yogi Andy Prasetyo Utomo Anggraeny, Wahyu Kartika Anisa Handayani Annas Fatia, Imelda Anteng Widodo Anwar Mallongi Aprilia, Tyas Ardila, Septiyani Arfiyan, Farel Dani Ari Adaninggar Arif Setiawan Arina Fawaida Arinda, Yosi Duwita Asih, Erny Asti Devi Mutiara Khoirun Nisa Astriana Putri Kumala Dewi Atik Rokhayani Azizah Zen Baiti Rahman Berliana Adya Wulandari Budi Cahyo Wibowo Dayu Swasti Kharisma Dewi Masitoh Dian Aditya Diana Laily Fithri Diana Laily Fithri Diana Laily Fithri Dihartawan, Dihartawan Diyas Aditya Adi Saputra DWI RAHMAWATI Eko Darmanto Elsya Vera Indraswari Erlina Nofianti Ernyasih, Ernyasih Fadina Salwa Aulia Putri Fajar Nugraha Fajrini, Fini fatia, imelda annas Fatmala, Indah Fauzi, Sa'ad Fauzia, Ghina Zahrotul Fawwaz, Muhammad Taufiq Febrina Larasati Ferry Ferdiansyah, Ferry Ghefira Ainur Ghufriyyah, Shinta Gilang Anugerah Munggaran Gudnanto Hakim, Chaerul Wisnu Handayani, Rosmawati Herdiansyah, Dadang Herlina Sari, Nurya Hidayat, Hilmi Bayu Higan Nanda Ahyudiya Ida Ayu Putu Sri Widnyani Ika Friscila, Ika Imam Abdul Rozaq Iman, Hadad Karsa Nur Indriani Zabrina Putri Irawati, Diana Izzatul Wahyuningsih Jaksa, Suherman Januar Ariyanto Jarir Bafadlol Albayhaqi Juhazty, Meti Brendha Kristiana, Isha Desty Kurniasari, Nita Kurniawan, Rizky Dwi Kusumawardhana, Muhammad Anton Laily Fithri, Diana Lina Anjelina Lisa Rachmawati Lubis, Anwar Lukito, Aji Lusida, Nurmalia Madiana, Tiara Septya Mariatul Kiptiah Marlina Oktaviani Maulidiawati, Chyntia Melviani, Melviani Meta Ardi Setiawan Mochammad Imron Awalludin Mubarrizi, Nor Muhammad Muhammad Muhammad Arifin Muhammad Indra Darmawan Muhammad Maulana Abdurrohman Muhammad Rizky muhammad rizky, muhammad Muhammad Shofiyuddin Muhammad Sukron Ma'mun Munaya Fauziah Nada Kusumawardani Nadiva Naifa Najla Nafar Ja’far Ashidiqi Nafi’ Inayati Zahro Nastiti, Kunti Natashia, Dhea Nishwatul Khofifah Noor Yulita Dwi Setyaningsih Nova Briyan Haidar Novanto, Ilham Setyo Nujulla, Puspa Odang, Maulidina Salsabilla Pawestri, Hasna Pratomo Setiaji Purwanto, Ari Joko Putri Handayani Putri Kurnia Handayani Putri, Vivinda Trisnowati R Rhoedy Setiawan Rahman, Nisa Aulia Rayhana, Rayhana Restu Prayoga, Hendrika Ricko Muhammad Firdaus Rike Syahniar Rina Fiati Rina Saputri Rohama, Rohama Romadhon, Zainur Romdhona, Nur Sa'dan, Ahmad Setyawan, Andi Agus SG, Hardiman Shofiani Dwi Natalia Slamet Rahayu Slametiningsih, Slametiningsih Sofian, Ahmad Soni Adiyono Suherman, Suherman Sulistina Rini Supriyono Supriyono Supriyono Suryaalamsah, Inne Indraaryani Sutono Sutono Sutono Syafiul Muzid Tiara Septya Madiana Triana Srisantyorini Triya Adzani Maulidina Tutik Khotimah Viki Muliawati Wulandari Wahdah, Rabia Wiwit Agus Triyanto Wulandari, Berliana Adya Yudie Irawan Zakaria Mubarok, Adhi Zulfa Himmatul Ulya Zuyyina Syarifa Yahya