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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Informatika Jurnal Terapan Abdimas Jurnal Ilmiah KOMPUTASI Jurnal Pengabdian UntukMu NegeRI Journal of Information Technology and Computer Science (JOINTECS) AGREGAT JURNAL MEDIA INFORMATIKA BUDIDARMA JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri JIEET (Journal of Information Engineering and Educational Technology) Jurnal Sains dan Informatika Jurnal Ilmiah Soulmath : Jurnal Edukasi Pendidikan Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Teknoinfo JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat LOYALITAS: Jurnal Pengabdian Kepada Masyarakat METIK JURNAL Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal ABDINUS : Jurnal Pengabdian Nusantara Jurnal Abdi: Media Pengabdian Kepada Masyarakat Jurnal Tekinkom (Teknik Informasi dan Komputer) Infotek : Jurnal Informatika dan Teknologi Indonesian Journal of Cultural and Community Development Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Community Empowerment Sinar Sang Surya: Jurnal Pusat Pengabdian kepada Masyarakat Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia Jurnal Pengabdian Kepada Masyarakat Patikala Proceedings Series on Physical & Formal Sciences PELS (Procedia of Engineering and Life Science) Proceedings of The ICECRS Procedia of Social Sciences and Humanities Structure Malcom: Indonesian Journal of Machine Learning and Computer Science SAGA: Journal of Technology and Information Systems GEMBIRA (Pengabdian Kepada Masyarakat) Indonesian Journal of Applied Technology Prosiding Seminar Nasional Unimus Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Journal for Technology and Science semanTIK Journal of Blockchain, Nfts and Metaverse Technology Jurnal Komunikasi Bisnis dan Teknologi Digital
Nuril Lutvi Azizah
Universitas Muhammadiyah Sidoarjo
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Permainan Edukatif untuk Meningkatkan Motivasi Belajar Matematika di Kampung Matematika Ariyanti, Novia; Lutvi Azizah, Nuril; Nur Latifah, Fitri
Jurnal Pengabdian UntukMu NegeRI Vol. 7 No. 2 (2023): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v7i2.5117

Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan motivasi belajar anak anak terutama pada ilmu matematika dengan menggunakan beragam permainan edukatif di kampung matematika. Lokasi kegiatan pengabdian masyarakat ini bertempat di Dukuh Pakis RT 05 RW 01 Surabaya. Metode yang digunakan dalam kegiatan ini adalah tahap awal yaitu observasi, tahap kedua yaitu persiapan lingkungan dan alat permainan, serta tahap yang terakhir adalah pelaksanaan. Respon dari warga Dukuh Pakis terhadap kampung matematika adalah senang karena lingkungan mereka menjadi lingkungan yang ramah anak dan ramah pendidikan. Kata Kunci: matematika, kampung matematika, motivasi belajar
Pengenalan Bahasa Isyarat Indonesia Dengan Algoritma YOLOv8 Berbasis Mobile Hidayah, Firmansyah Nur; Rahmawati, Yunianita; Findawati, Yulian; Azizah, Nuril Lutvi
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 2 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i2.30189

Abstract

Indonesian Sign Language (BISINDO) is the primary means of communication for deaf people in Indonesia, but the general public's understanding of BISINDO is still limited, thus hampering inclusive social interaction. To overcome this obstacle, the development of an artificial intelligence-based BISINDO detection system is a promising solution. One of the latest approaches is the utilization of the YOLOv8 algorithm, which is known to have advantages in real-time object detection with high accuracy and better model efficiency compared to previous versions. The BISINDO detection system using YOLOv8 is trained with image and video datasets of Hand gestures, so that it is able to recognize various BISINDO gestures in various lighting conditions and backgrounds. The main challenge in developing this system is the limited variety of datasets and image quality, so that more diverse data collection and optimization of model parameters are needed. Integration of supporting Augmented Reality (AR) and Transfer Learning technologies also has the potential to improve the learning experience and detection accuracy. Thus, the BISINDO detection system based on YOLOv8 is expected to expand communication access, increase public awareness of BISINDO, and support the realization of a more friendly and inclusive social environment for deaf people in Indonesia
ANALYSIS OF APRIORI AND K-NEAREST NEIGHBOR (KNN) ALGORITHM IN RECOMMENDING APPROPRIATE LEARNING METHOD Azizah, Nuril Lutvi; Eviyanti, Ade; Ariyanti, Novia; Wardani, Gita; Diba, Naila Farah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 1 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss1pp0557-0572

Abstract

The study investigates the utilization of data mining techniques, especially the Apriori algorithm and K-Nearest Neighbor (KNN) classification, in recommending appropriate learning methods based on student data. The purpose of this research is to analyze patterns and groupings in students’ behavior, preferences, and academic performance to support more informed and personalized educational strategies. The Apriori algorithm is used to identify frequent associations among learning related attributes, while KNN classification helps group students with similar learning characteristics. The analysis revealed that the digital learning method is the most preferred by students, with a percentage of 84.29%, followed by the traditional lecture method at 15.70%. These results reflect a notable trend toward technology-driven, flexible learning environments, although conventional approaches continue to hold relevance for a portion of learners. The research concludes that the integration of the Apriori algorithm and KNN clustering proves to be an effective analytical framework for facilitating adaptive learning. This approach allows educators and institutions to make data-driven decisions in tailoring instructional methods that align with the diverse needs and preferences of students.
Pemberdayaan Kelompok UMKM Terdampak Covid Melalui Pendampingan Ekonomi Kreatif Berbasis Teknologi Azizah, Nuril Lutvi; Indahyanti, Uce; Latifah, Fitri Nur; Sumadyo, Sasmito Bagus
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 5 No 2 (2021): Volume 5 Nomor 2 Tahun 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v5i2.15374

Abstract

Community dedication is carried out with the aim of increasing the sales turn over of cloth mask at the UMKM Tanjung which is related in the sales of goods or shops. The method used in this services activity is through partial assistance and training. Partial assistance is carried out by providing guidence and training to improve skills in making mask innovations into painting maks. Creative economy assistance is carried out by making technology-based painting masks. Masks are designed using the basic graphic design sketch application on masks, so mask sketches can be custom ordered according to the wishes of potential buyers. Painting mask can also be a differentiator from other masks that are sold in the market, thus masks have different characteristics from other masks sold in the market. The result obtained are an incrase in the selling value of painting mask and and an increase in skills in the group of UMKM Tanjung. It can be concluded that the mentoring and training activities receive positive responses from the group based on the result.
Web-based Population Information System (Case Study of Ketapang Village Hall Office) Dewanti, Irene Elvariani; Dijaya, Rohman; Azizah, Nuril Lutvi; Eviyanti, Ade
SAGA: Journal of Technology and Information System Vol. 3 No. 1 (2025): February 2025
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v3i1.477

Abstract

The development of information technology has brought significant changes in various aspects of life, including in the management of population data at the village level. Conventional population information systems that still use manual methods often have various problems such as data inconsistency, difficulty in finding information, and slow administrative service processes. Therefore, this research aims to develop a web-based village population information system that can overcome these problems. This web-based population information system is designed using a waterfall system development approach. Data collection methods were conducted through interviews, observations, and documentation studies. The system was built using PHP programming language and MySQL database. The results showed that this web-based population information system is able to present population data accurately, quickly, and easily accessible by the community and village officials. With this web-based population information system, it is expected to improve the efficiency and effectiveness of population data management at the village level, as well as provide convenience for the community in accessing information and obtaining population administration services.
Implementasi Algoritma CNN dengan Arsitektur MobileNet untuk Klasifikasi Citra Daun Herbal Fida Maisa Hana; Agung Prihandono; Agung Bakti; Nuril Lutvi Azizah; Imam Prayogo Pujiono
JURNAL RISET KOMPUTER (JURIKOM) Vol. 13 No. 1 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i1.9444

Abstract

Indonesia's diversity is very rich, one of which is that Indonesia has herbal plants which people believe are natural medicines for curing diseases. Herbal leaves show different variations in size and shape for each type, indicating that each leaf has special characteristics, shape, texture and size. Researchers used one of the Deep Learning methods, namely Convolutional Neural Network (CNN) for classifying herbal leaves. The field of image classification has found CNNs to be quite effective for image classification. CNN is a type of neural network with convolutional layers that has the ability to automatically extract important features from images. MobileNet is a CNN structure created by Google. MobileNet has advantages in efficient use of computing resources. Specifically, in the MobileNet network model, an attention module was added to improve the model's ability to extract more detailed image features, and dropout technology was added to prevent overfitting. This research method includes image preprocessing, training a convolutional neural network-based model, and evaluating its performance using accuracy, precision, recall, and F1 score metrics. Training was conducted for 20 epochs, and testing was conducted using data separated from the training data. The evaluation results show that the MobileNet model has the ability to extract visual features and produce herbal leaf image classification with an accuracy rate of 97.50% and precision, recall, and F1 scores of 98% each. The proposed model can be used in mobile-based herbal leaf identification applications due to its high performance and lightweight architecture. The stable accuracy curve at the final epoch indicates that the model does not experience significant overfitting and is able to generalize well to the test data
SISTEM INFORMASI PENJADWALAN PIKET PATROLI BERBASIS WEB PADA SATUAN SAMAPTA POLRES MOJOKERTO Rachmattillah, Erina Firdaus Dwi; Azizah, Nuril Lutvi; Ariyanti, Novia
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 4 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i4.6687

Abstract

Di tengah perkembangan teknologi informasi yang pesat, pengelolaan dan penjadwalan patroli menjadi hal krusial dalam menjaga ketertiban dan keamanan masyarakat. Polres Mojokerto, sebagai bagian penting dari penegakan hukum, berperan sentral dalam memastikan keamanan masyarakat. Namun dalam pelaksanaannya masih dilakukan secara manual. Dengan tujuan meningkatkan efisiensi dan efektivitas pelaksanaan patroli, pengembangan Sistem Informasi Penjadwalan Piket Patroli berbasis web pada Satuan Samapta Polres Mojokerto menjadi suatu keharusan. Penelitian ini dilakukan dengan merancang dan mengimplementasikan Sistem Informasi Penjadwalan Piket Patroli berbasis web yang sesuai dengan kebutuhan Satuan Samapta di Polres Mojokerto. Dengan menggunakan metode waterfall, sistem ini dirancang untuk menyederhanakan proses penjadwalan patroli, memas-tikan distribusi tugas yang merata, dan memberikan aksesibilitas yang lebih baik bagi personel kepolisian. Sitem Informasi berbasis web ber-hasil dibuat menggunakan bahasa pemrogaman PHP dan Database Mysql. Sistem Informasi ini Sistem informasi geografis ini menggunakan metode pengujian sistem black-box, hasil uji pengguna menunjukkan bahwa pengujian dikatakan sangat setuju jika sistem dapat di gunakan deangan baik sebagai alat absensi, diuji fungsionalitas sistem, operasional, dan semua proses sistem informasi geografis ini dapat berjalan dengan baik sesuai dengan yang diharap-kan pihak satuan samapta polres mojokerto.
PEMANFAATAN TEKNOLOGI VIRTUAL REALITY MARKLESS DALAM MENINGKATKAN PENGALAMAN BERKUNJUNG KE MUSEUM DE JAVASCHE MELALUI PLATFORM ANDROID Javier, Gomes Noor; Taurusta, Cindy; Azizah, Nuril Lutvi; Hindarto, Hindarto
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.5454

Abstract

Sebuah museum adalah tempat untuk mengeksplorasi dan memahami sejarah suatu tempat, negara, atau bangsa. Dahulu, Museum De Javasche Bank adalah markas De Javasche Bank sebelum menjadi cabang Bank Indonesia. Menghadapi penurunan minat masyarakat, terutama pelajar, terhadap museum, berbagai upaya ditingkatkan dengan teknologi. Tujuannya mendukung upaya pemerintah menjadikan museum destinasi wisata dan pendidikan. Diperlukan pendekatan menarik untuk memperkenalkan Museum De Javasche Bank. Contohnya, teknologi Virtual Reality (VR) memungkinkan interaksi dengan lingkungan simulasi komputer. Dengan aplikasi 3D di ponsel Android, peneliti menciptakan aplikasi berbasis Android berbentuk VR yang memberikan pengalaman informasi menarik bagi pengunjung. Harapannya, aplikasi ini meningkatkan daya tarik museum serta memberikan pengalaman pendidikan yang lebih baik, membuat masyarakat lebih akrab dengan Museum De Javasche Bank. Aplikasi menampilkan objek 3D dalam tur virtual, memungkinkan pengguna menjelajahi Museum De Javasche Bank secara virtual. Pendekatan ini dianggap menarik oleh masyarakat, 85% responden menyatakan aplikasi tersebut informatif dan menarik berdasarkan survei.
Smart Wast Management: Optimalisasi Pengolahan Sampah Rumah Tangga Berbasis Android Alidza Septia Wulansari; Nuril Lutvi Azizah; Irwan Alnarus Kaustar; Yunianita Rahmawati
Jurnal Komunikasi Bisnis dan Teknologi Digital Vol. 1 No. 1 (2025): October
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jkbtd.v1i1.265

Abstract

Permasalahan sampah rumah tangga menjadi salah satu isu lingkungan yang mendesak untuk diselesaikan. Pengelolaan sampah yang kurang optimal dapat berdampak negatif pada lingkungan dan kesehatan masyarakat. Oleh karena itu, penelitian ini mengembangkan aplikasi Smart Waste Management berbasis Android untuk membantu proses pengelolaan sampah secara lebih efektif. Aplikasi ini dilengkapi dengan fitur pemindai (scan) yang mampu mengidentifikasi jenis sampah dan memberikan rekomendasi daur ulang menjadi kerajinan. Dengan memanfaatkan kecerdasan buatan (Artificial Intelligence), sistem dapat menganalisis gambar sampah dan mengkategorikannya secara otomatis. Metode yang digunakan dalam pengembangan aplikasi ini adalah Waterfall Model, yang terdiri dari tahap analisis kebutuhan, desain sistem, implementasi, dan pengujian. Pengujian dilakukan dengan metode Black Box Testing untuk memastikan semua fitur aplikasi berjalan sesuai dengan harapan. Hasil pengujian menunjukkan bahwa aplikasi mampu mengidentifikasi sampah dengan akurasi tinggi dan memberikan panduan daur ulang yang bermanfaat bagi pengguna. Dengan adanya aplikasi ini, diharapkan masyarakat dapat lebih sadar akan pentingnya pengelolaan sampah dan ikut berkontribusi dalam menjaga lingkungan.
Web-Based Student Grade Progress Monitoring Information System Roziqin, Muhammad Khoirur; Azizah, Nuril Lutvi; Mauliana, Metatia Intan; Fitrani, Arif Senja
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 3 No. 1 (2025): February 2025
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v3i1.610

Abstract

In this study, the researchers found a way to help teachers input student grades and achievements. Currently, records are still kept in books, which can cause problems such as burning, deterioration over time, or damage caused by pests. The purpose of this study is to create a system that can be a solution to the above problems, which will also make it easier for teachers to monitor their students so that they can report to the students' guardians. The researcher hopes that this system can help in monitoring student development. Blackbox testing was conducted to show that all features functioned as expected. In addition, a user survey was conducted, which showed a satisfactory rating of 60%, particularly for the interface design. However, the system performance still needs improvement because errors occurred in several aspects and received a low satisfaction rating of less than 50%. There are still many shortcomings in this research that need to be addressed. Hopefully, future research can improve on these shortcomings, resulting in a useful project.
Co-Authors Abdiansah, Lutfi Achmad Alfian Fajriansyah Ade Eviyanti Ade Eviyanti Ade Eviyanti Adham Novalas Putra Wibisono Aditya, M. Fahrul Rizki Afandi, Muchammad Arif Afnizar Maulana Asiddiq Agung Bakti Agung Khoirudzikri Agung Prihandono Alam, Mukhammad Nur Bakhrul Alfan Indra Kusuma Alidza Septia Wulansari Alidza Septia Wulansari Amir, Mohammad Faisal Ananda Dwi Prasetyo Aqilah, Nadtasya Faizah Arif Senja Fitrani Arik Bagus Setyawan Ary Putranto As Shoqri, Hanif Astutik, Ika Ratna Indra Atik Wahyuni Atik Wahyuni Atmaranti, Julia Awawin Mustana Rohmah Bayu Hari Prasojo Busono, Suhendro Cau Kim Jiu Cau Kim Jiu Cecep Kusmana Chylen Setiyo Rini Cindy Cahyaning Astuti Cornelius, Cornelius Dewa, Suma Bayunda Amartya Dewanti, Irene Elvariani Diba, Naila Farah Dinita Rahmalia, Dinita Eka Fatra Arif Hidayatullah Eko Agus Suprayitno Erlina Agustin Faizah A, Nadtasya Fajar, Mochamad Fatahillah Aji Maulana Fatona Kholifatun Nisa' Febrina Shanti Nurrachma Ferry Adhi Dharma Fida Maisa Hana Fina Rahma Dewi Fitri Nur Latifah Fitria Nur Hasanah Fuad Azis Muslim Gita Wardani Hamzah Setiawan Hamzah Setiawan Handoko Irawan Handoko Irawan Hartatik, Nurul Hendri Hermawan Hendri Hermawan Hendri Hermawan Herlinda Maya Kumala Sari, Herlinda Maya Kumala Hidayah, Firmansyah Nur Hindarto Ika Ratna Indra Astutik Imam Prayogo Pujiono Irwan Alnarus Kaustar Irwan Alnarus Kaustar Irwan Alnarus Kautsar Javier, Gomes Noor Kholifah, Rizka Nur Kusuma, Alfan Indra Lailil S, Masyitah Luqmanul Hakiym Maulana Mahendra, Moch. Fauzi Raja MARIA BINTANG Mauliana, Metatia Intan Metatia Intan Mauliana Mohammad Doni Ferdiansah SM Mohammad Suryawinata Muhammad Arshiel Naufal Dzaki Muhammad Iqbal Al Mulki Muqorrobin, Dawam Naila Adiba Novia Ariyanti Octavia, Elga Okyk Fauzi Yudha Permana Pratama, Kharisma Putra, Fariq Abdillah Maulana Rachmattillah, Erina Firdaus Dwi Rohman Dijaya Roziqin, Muhammad Khoirur Rozzaq, Muhammad Salsabil, Muhammad Setiawan, Hamzah Setiawan, Mohammad Fikri Steven Owen Purnawan Sumadyo, Sasmito Bagus Sumarno Sumarno , Sumarno Sumarno . Sumarno Sumarno Suprianto Syafitri, Masyitah Lailil Taufiki Ma'rufan Taurusta, Cindy Tri Linggo Wati Uce Indahyanti Vevy Liansari Vevy Liansari Vini Rahmawati Wardani, Gita Wuriani Wuriani Wuriani, Wuriani Yulian Findawati Yunianita Rahmawati Yunianita Rahmawati, Yunianita