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WEB-BASED INFORMATION SYSTEM FOR SALES OF PRODUCTS LABELED HALAL IN KHANZA ONLINE SHOP Rozzaq, Muhammad; Eviyanti, Ade; Azizah, Nuril Lutvi; Hindarto
Journal for Technology and Science Vol. 1 No. 1 (2024): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v1i1.97

Abstract

The times are getting more advanced, the price of necessities is also increasing, many elements justify any means to sell food/products that are not suitable for consumption in order to get abundant profits. which has neglected an important point, namely the halalness of the product. Therefore I made research on how to create an online shop that can sell halal products that are guaranteed to be halal. The Information Sistem for Sales of Halal Labeled Products at the Web-Based Khanza Online Shop is an online shop that sells products labeled as halal, the products being sold are products that have passed the test of the Indonesian Ulema Council (LPPOM MUI) Food and Drug Research Institute. Final result of This research is a sistem that makes it easier for Muslim communities in Indonesia, especially Sidoarjo, to be able to shop online for halal products that have been tested for halal
IMPLEMENTATION OF THE FUZZY TSUKAMOTO METHOD TO EARLY DETECTION TYPES OF GASTRIC DISEASES Kholifah, Rizka Nur; Azizah, Nuril Lutvi
Journal for Technology and Science Vol. 1 No. 3 (2024): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v1i3.211

Abstract

Abstract: The stomach is a critical organ within the human digestive system, and gastric diseases represent significant health concerns often underestimated by the public. Factors such as poor dietary habits, stress, and bacterial infections contribute to these ailments, whose initial symptoms can easily be misinterpreted due to their similarity with other gastrointestinal disorders. The knowledge gap exists in the diagnostic challenges faced by both patients and healthcare professionals, necessitating the development of improved diagnostic tools. This study aims to enhance the diagnostic process for gastric diseases through the implementation of an expert system utilizing the Fuzzy Tsukamoto method. By employing questionnaires and expert interviews to gather data on symptoms, we develop a comprehensive fuzzy inference system. Results indicate that the system accurately classifies stomach ailments based on user-reported symptoms, facilitating early diagnosis and treatment. The novelty of this research lies in the application of the Fuzzy Tsukamoto method, which allows for nuanced symptom analysis and inference, providing a more accessible means for the general public to identify potential gastric diseases. Furthermore, the system design includes flowcharts, data flow diagrams, and entity relationship diagrams to ensure a user-friendly interface. The implications of this study are significant, as it offers a robust tool for early detection of gastric diseases, thereby potentially improving patient outcomes and reducing healthcare costs associated with late-stage interventions. This expert system not only assists in diagnosing gastric conditions but also serves as a valuable resource for enhancing the understanding of symptomology in gastroenterology.
Penerapan Algoritma Convolutional Neural Networks untuk Pengenalan Tulisan Tangan Aksara Jawa: Implementation of Convolutional Neural Networks Algorithm for Javanese Handwriting Recognition Abdiansah, Lutfi; Sumarno, Sumarno; Eviyanti, Ade; Azizah, Nuril Lutvi
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 2 (2025): MALCOM April 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i2.1814

Abstract

Aksara Jawa adalah sistem tulisan tradisional yang dulunya banyak digunakan di Jawa Timur dan Jawa Tengah, terdiri dari 20 huruf utama serta beberapa atribut tambahan. Namun, penggunaannya dalam kehidupan sehari-hari semakin berkurang. Penelitian ini bertujuan mengembangkan sistem pengenalan aksara Jawa menggunakan Convolutional Neural Network (CNN) sebagai upaya pelestarian. Dataset yang digunakan mencakup 1000 citra tulisan tangan aksara Jawa, dengan 700 citra untuk pelatihan dan 300 citra untuk validasi. Proses penelitian meliputi pengumpulan data, preprocessing, pembangunan arsitektur CNN, dan evaluasi model. Arsitektur CNN dirancang untuk menangkap fitur utama aksara, termasuk membedakan huruf yang memiliki kemiripan visual. Hasil evaluasi menunjukkan performa yang baik, dengan akurasi mencapai 99,83% pada pengenalan aksara yang diinputkan, serta grafik akurasi dan loss yang konsisten antara data pelatihan dan validasi. Temuan ini menunjukkan bahwa CNN memiliki potensi besar dalam pengenalan aksara Jawa, meskipun optimasi lebih lanjut tetap diperlukan untuk meningkatkan akurasi dan efisiensi sistem guna mendukung penerapannya secara lebih luas.
Pelatihan E-Modul Flipbook Multimedia Bagi Guru SMK di Sidoarjo Nuril Lutvi Azizah; Ade Eviyanti; Vevy Liansari; Gita Wardani; Naila Adiba
Jurnal Abdimas Indonesia Vol. 4 No. 3 (2024): Juli-September 2024
Publisher : Perkumpulan Dosen Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53769/jai.v4i3.1017

Abstract

SMK Muhammadiyah 2 Taman Sidoarjo mempunyai jurusan Multimedia yang memerlukan pengembangan dalam peningkatan kualitas pembelajaran mengenai desain dan animasi. Sebanyak 70% Guru-guru di SMK Muhammadiyah 2 Taman mempunyai keterbatasan dalam bidang multimedia sehingga dibutuhkan pelatihan untuk pengembangan pembelajaran multimedia agar lebih menarik, inovatif dan interaktif. Pelatihan e-modul flipbook merupakan inovasi baru dalam pengembangan pembelajaran multimedia dimana e-modul ini dapat diakses oleh peserta dimanapun dan kapanpun sesuai dengan kebutuhan. Kegiatan pelatihan telah dilaksanakan dengan peserta sebanyak 35 orang terdiri dari 28 guru, 4 tenaga kependidikan dan 3 mahasiswa, dimana pada saat pelatihan tiap peserta dikelompokkan antara 2-3 peserta sesuai dengan mata pelajaran yang diampu atau sesuai dengan bidang keahlian. Pelatihan dilakukan selama 3 hari, dan pada saat sesi terakhir pertemuan guru membuat dan mengumpulkan bahan ajar digital sesuai dengan bidang ilmu masing-masing guru. Manfaat yang diperoleh dalam pelatihan ini yaitu terjadinya peningkatan dalam aspek manajemen sebanyak 74,52%, dimana peserta guru SMK Muhammadiyah 2 Taman Sidoarjo merasa lebih siap dalam membuat bahan ajar digital secara mandiri, lebih menarik, dan interaktif.
Digital innovation : Implementation of interactive teaching materials for vocational school teachers to support Merdeka Belajar and SDGs 4 Azizah, Nuril Lutvi; Cornelius, Cornelius; Eviyanti, Ade; Liansari, Vevy; Wardani, Gita; Diba, Naila Farah
Community Empowerment Vol 10 No 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.12263

Abstract

The problem in vocational school (SMK) learning is the lack of interactive teaching media used by educators. However, under the Merdeka Belajar curriculum, vocational school students are expected to develop their achievements and create self-employment opportunities based on their acquired skills. This activity aims to enhance the skills of vocational school teachers in digitizing teaching materials through 2D animated videos, 3D animated videos with Artificial Intelligence (AI), and digital flip books. The method used in this community service includes socialization, training, mentoring, and evaluation. The results of the activity indicate an improvement in vocational school teachers' skills in creating 2D and 3D animated instructional videos. Additionally, some teachers have successfully developed interactive digital-based teaching materials.
Introduction to Android-Based Numerical Learning at SD Muhammadiyah 2 Waru Sidoarjo Nuril Lutvi Azizah; Pratama, Kharisma; Wuriani, Wuriani; Jiu, Cau Kim
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 6 No. 2 (2023): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v6i2.3335

Abstract

Numeracy learning in SD Muhammadiyah 2 Waru Sidoarjo still uses conventional method, namely by using lectures and manual practice questions. In the current technological era, android-based learning is needed in accordance with the times so that learning numeracy feels more fun for students. In fact, playing games on gadgets will be more fun than learning at conventional schools. Therefore, the introduction of more modern numeracy media through android-based learning can increase student interest through indirect learning. According to the survey, as many as 50% of students at SD Muhammadiyah 2 Waru Sidoarjo do not like numeracy because many factors include the difficulty of understanding manual calculations. The purpose of this activity is to introduce numeracy learning that is more fun through android-based numeracy media. The method used in the introduction of android-based numeration media is a quantitative method by taking a sample of students at SD Muhamadiyah 2 Waru Sidoarjo as many as 15 students consisting of grades 1, 2, and 3. The introduction of android-based numeracy learning is done by providing knowledge to students and introducing Android-based numeracy applications. The results obtained from this dedication are that students know the android-baesd numeration application and students are more interests in learning numeracy which is more fun as well as games found on gadgets.
Integration Point Effect on Various Meshing Method of Thin-Aluminium Rectangular Plate Hermawan, Hendri; Nuril Lutvi Azizah
AGREGAT Vol 10 No 1 (2025)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/ag.v10i1.26216

Abstract

Tujuan dari penelitian ini adalah untuk menyimpulkan respons statik pelat aluminium persegi 1000 mm2 dengan berbagai jenis elemen dalam dua kondisi batas tertentu. Dalam makalah ini, Analisis Elemen Hingga dilakukan menggunakan ABAQUS dan hasilnya kemudian dibandingkan dengan hasil simulasi sebelumnya oleh ANSYS untuk mendapatkan konsep penandaan acuan yang lebih dalam. Hasil numerik menunjukkan bahwa nilai lendutan yang diperoleh dari simulasi ABAQUS sangat berbeda dengan hasil yang diperoleh oleh simulasi ANSYS. Namun, ketebalan optimum yang diperoleh oleh keduanya menunjukkan ketebalan optimum yang sama pada nilai diatas 50 mm.
EVALUASI E-LEARNING MENGGUNAKAN ANALYTICAL HIERARCHY PROCESS (AHP) Astuti, Cindy Cahyaning; Sari, Herlinda Maya Kumala; Azizah, Nuril Lutvi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1134.36 KB) | DOI: 10.30598/barekengvol14iss1pp001-012

Abstract

E-learning is a learning media that is being used in various universities, although it is not used 100% because some still use face to face. Because it is still new, e-learning needs to be evaluated to make it even better. The purpose of this study is to evaluate e-learning to find out how much the method can be accepted by students. The tool we use to evaluate is the Analytical Hierarchy Process (AHP). The results show that students still prefer face-to-face methods rather than e-learning because face-to-face material is more easily absorbed and interactions with lecturers are more interwoven than using e-learning. But e-learning has the advantage of being more flexible than face-to-face, and gathering tasks are easier with e-learning.
PRIVACY-PRESERVING REAL TIME TRACING SYSTEM FOR COVID-19 PATIENT USING GPS TECHNOLOGY Azizah, Nuril Lutvi; Indahyanti, Uce
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.725 KB) | DOI: 10.30598/barekengvol16iss1pp121-128

Abstract

The new normal condition in Indonesia does not mean that Indonesia is completely free from infection with the Covid 19 virus. Individuals exposed to the Covid 19 virus have symptoms like mild, moderate, to severe condition. Most individuals who have mild symptoms are self isolating at their home until tested negative for the Covid 19 virus. The impact of Covid 19 has led to an increase in the use of gadgets to access all the information needed. The purpose of this study is to provide information regarding patients infected with Covid 19 in a certain area through a tracing application. The application can help public to find out how many individuals are infected with Covid 19 in the surrounding environment by prioritizing privacy-preserving in a real time. The method used in this study is a combination of graph theory and GPS tracing system on a gadget. The initial stage of this study was carried out through tracing Covid 19 patients based on their position of residence. The final stage of the study was carried out using a graph approach based on distance and percentage of transmission. The result of this study obtained privacy-preserving real-time tracing with the predicted precentage of Covid 19 transmission susceptibility within the scope of danger or vulnerability, quite safe, and secure. Furthermore, individuals can take precautions by maintaining a safe distance.
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.
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