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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 Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia 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 Indonesian Journal of Applied Technology Prosiding Seminar Nasional Unimus Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Journal for Technology and Science 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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SPACED REPETITION CONCEPT DESIGN WITH FUZZY MULTI CRITERIA ANALYSIS AS A MEDIA TO IMPROVE NUMERACY LEARNING FOR ELEMENTARY SCHOOL STUDENTS Azizah, Nuril Lutvi; Liansari, Vevy; Kusuma, Alfan Indra
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp1049-1056

Abstract

Numeracy Learning activities after the Covid-19 Pandemic has been decline in the quality of learning in a number of elementary school students. This research is limited to learning numeracy for low grade students, namely grade 1,2, and 3, because the basic concept of numeration begins with low grades There are several factors that make difficult for students to understand numeracy, the students often forget about the concepts that have been taught before. An Effective way of memorizing with the conventional way is memorizing with repeat pronunciations. To improve the quality of education, learning concepts that were previously carried out conventionally must be developed in a modern way using application. The purpose of this research is to improve the numeracy learning concept of low-grade students in primary school after Covid-19 pandemic which is more fun and modern by using the concept of spaced repetition based on android flashcards. The analysis of 135 student’s assessment is based on criteria such as tangible, reliability, empathy, responsive, and assurance. The decision support system using Fuzzy Multi Criteria Methods (MCDM) is also used to determine the weighting of the criteria and the effectiveness of learning using spaced repetition concept and it’s application. The result of the weighting using fuzzy multi criteria is obtained defuzzification that tangible 65.18, reliability 56.54, responsive 46.17, assurance 49.13, and empathy 29.62. Tangible has the highest results in this test, it means that the students prefer modern learning with android application with an attractive experienced. The correlation test obtained the result 0.76 which is a high value in decision making and could be accepted.
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
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.
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
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 Amir, Mohammad Faisal Ananda Dwi Prasetyo Arik Bagus Setyawan Ary Putranto Astutik, Ika Ratna Indra Atik Wahyuni 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 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 Herlinda Maya Kumala Sari, Herlinda Maya Kumala Hidayah, Firmansyah Nur Hindarto Ika Ratna Indra Astutik Imam Prayogo Pujiono Irwan Alnarus Kaustar Irwan Alnarus Kautsar Javier, Gomes Noor Kholifah, Rizka Nur Kusuma, Alfan Indra Luqmanul Hakiym Maulana Mahendra, Moch. Fauzi Raja MARIA BINTANG Mauliana, Metatia Intan Metatia Intan Mauliana Mohammad Doni Ferdiansah SM Mohammad Suryawinata Muhammad Iqbal Al Mulki Muqorrobin, Dawam Naila Adiba Novia Ariyanti Octavia, Elga Okyk Fauzi Yudha Permana Pratama, Kharisma Putra, Fariq Abdillah Maulana Rohman Dijaya Rozzaq, Muhammad Salsabil, Muhammad Setiawan, Hamzah Steven Owen Purnawan Sumadyo, Sasmito Bagus Sumarno Sumarno , Sumarno Sumarno . Sumarno Sumarno Suprianto Taufiki Ma'rufan Taurusta, Cindy Uce Indahyanti Vevy Liansari Vevy Liansari Vini Rahmawati Wardani, Gita Wuriani Wuriani Wuriani, Wuriani Yulian Findawati Yunianita Rahmawati Yunianita Rahmawati, Yunianita