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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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Query Response Time Comparison SQL and No SQL for Contact Tracing Application Arik Bagus Setyawan; Irwan Alnarus Kautsar; Nuril Lutvi Azizah
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v2i2.1296

Abstract

During the current Covid-19 pandemic, it is necessary to have facilities to track community activities to make it easier to cope with the Covid-19 pandemic situation which is still a threat to the community. Contact tracing application (Contact Tracing) is one solution that can be used in this regard. By utilizing Contact Tracing, people's activities can be recorded when traveling to meet other people so that they can generate a history that can be used to track someone if one of them is infected with Covid-19. With this application, data storage (database) is very important because the application will generate and consume a lot of data. In this study, the researcher attempted to compare the query speed of the common data storage (database) that is usually used, namely Relational Database (MySQL) with Non-Relational Database (MongoDB). The results of the experiments conducted by the researchers resulted in the Non-Relational Database (MongoDB) suitable for use when the data has reached large amounts because the query speed is quite fast and stable. Meanwhile, Relational Database performance is still reliable when the data query needs are only on a small scale.
Hajj Pillars Education Application Using Markerless Augmented Reality Method Eka Fatra Arif Hidayatullah; Rohman Dijaya; Nuril Lutvi Azizah
Procedia of Engineering and Life Science Vol 3 (2022): Proceedings of the 5th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v3i0.1310

Abstract

Hajj is a special worship, which is a dream and obligation for Muslims in the world to perform it, for those who are physically and materially capable. An introduction to the pilgrimage has been obtained since the 3rd grade of Elementary School (SD). The long process of the pilgrimage with various pillars and provisions contained in the procedures for its implementation often raises the disinterest of students in learning to understand and study the pilgrimage more deeply. To achieve the desired competence, many learning media have been developed, one of which is Augmented Reality (AR) technology. Augmented Reality (AR) is a technology that allows you to integrate 3D objects into a real environment. Based on this problem, the author makes an application about the introduction and pillars of the pilgrimage based on Augmented Reality using the Markerless method. Making applications using Blender software as a modeler and Unity 3D as an application maker. It is hoped that this application can introduce Augmented Reality into the world of education, and help students, especially elementary school children, get to know the pillars of Hajj better.
IMPLEMENTATION OF AUGMENTED REALITY AS A HAIR MODEL VISUALIZATION MEDIA BASED ON ANDROID Fatahillah Aji Maulana; Suprianto Suprianto; Nuril Lutvi Azizah
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2246

Abstract

Humans place a high value on physical appearance. An attractive appearance can increase a person's self-confidence. Hairstyles are one of several ways to achieve an attractive appearance. This implies that there is always a demand for barbershops. However, some traditional barbershops, like Mr. Abdi, use outdated techniques like hanging flyers for haircut models that are no longer relevant in this era. This has an effect on the very low level of interest among young people who use services provided by roadside barbershops. The objective of this study is to create applications that have a way of delivering information that is interactive and different from other modern barbershops using augmented reality (AR), which will be used as a medium for visualizing hairstyles. In this study, the markerless tracking method is used to display three-dimensional objects in various types of fields. This application was developed with Unity and Vuforia because the development process can be done quickly. Based on the results, the overall quality of the software is 84%, so it is feasible for mass use.
Historical Application of the Formation of the Three Greatest Islamic Kingdoms of the Middle Ages Based on Augmented Reality Fatona Kholifatun Nisa'; Rohman Dijaya; Nuril Lutvi Azizah
Procedia of Engineering and Life Science Vol 3 (2022): Proceedings of the 5th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v3i0.1334

Abstract

The importance of studying Islamic Cultural History (SKI), especially the history of the formation of the three largest medieval Islamic empires, namely that students are able to understand and get many valuable lessons from the events of Islamic revival and struggle, so that they can shape the character of a generation with Islamic values. However, the results of observations made in Private Madrasah Aliyah, Raden Patah, Mojokerto, class X for SKI learning still use the blackboard and in delivering the material it is done by the lecture method. This method resulted in 52% of students being less enthusiastic. Students will be easily sleepy and lazy if only offered learning without innovative media. Then we need a learning method using Augmented Reality (AR) technology, which combines virtual objects and real objects that can be touched and seen so that users can interact directly with these objects. This study aims to create an application as a more effective and interactive learning media in SKI subjects. making this application using Blender 3D as modeling and Unity 3D as application development.
Deteksi Penyakit Epilepsi Melalui Sinyal EEG Menggunakan Metode DWT dan Extreme Gradient Boosting Erlina Agustin; Ade Eviyanti; Nuril Lutvi Azizah
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5412

Abstract

Epilepsy is a disorder of the central nervous system due to excessive patterns of electrical activity in the brain. This disease causes patients to experience repeated seizures in one or all parts of the body. Therefore, epilepsy must be detected early so that the patient immediately gets the right treatment so that the condition does not get worse. This study proposes the detection of epilepsy using the Discrete Wavelet Transform method for feature extraction and Extreme Gradient Boosting for classification. Detection results are classified into two classes, namely seizures and non-seizures. The EEG recording data used came from CHIB MIT Hospital Boston which was obtained online. In the classification process, this study uses four comparisons of the percentage of training data and test data as well as tuning parameters which are processed by Randomized Search Cross Validation. The combination of these methods produces the highest accuracy, namely 85.15% which is produced by the percentage of 80% training data and 20% test data. However, these results experienced a high overfitting of 13.54%. As for the most fit results produced by the research, namely an accuracy value of 81% with a training score of 88.65% and a test score of 81.20% resulting from a percentage of 80% training data and 20% test data.
Pendekatan Ensemble Learning Untuk Meningkatkan Akurasi Prediksi Kinerja Akademik Mahasiswa Uce Indahyanti; Nuril Lutvi Azizah; Hamzah Setiawan
Jurnal Sains dan Informatika Vol. 8 No. 2 (2022): Jurnal Sains dan Informatika
Publisher : Teknik Informatika, Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jsi.v8i2.459

Abstract

Penelitian ini bertujuan untuk meningkatkan akurasi prediksi kinerja mahasiswa dalam sistem pembelajaran virtual atau elearning menggunakan pendekatan ensemble learning. Dataset penelitian merupakan data publik berupa data log aktifitas elearning. Dataset yang telah melalui tahap pre processing, dimasukkan ke dalam pemodelan prediksi menggunakan gabungan beberapa algoritma pengklasifikasi yaitu Decision Tree, Random Forest, dan AdaBoost (ensemble learning). Tahap berikutnya mengevaluasi kinerja model dan menganalisis hasil prediksi menggunakan teknik root mean square error (RMSE). Output pemodelan berupa tiga level prediksi kinerja akademik (kelulusan mahasiswa) dalam sebuah course/semester, yaitu low-level, middle-level, dan high-level. Hasil pemodelan menunjukkan bahwa algoritma RF menghasilkan prediksi yang lebih akurat dibandingkan algoritma lainnya yaitu sebesar 75.79%, dengan RMSE mendekati 0 yaitu 0.44.
Rancang Bangun dan Implementasi Aplikasi e-DUPAK Pranata Komputer Berbasis Website Menggunakan Framework Laravel di Pemerintah Kabupaten Sidoarjo Handoko Irawan; Sumarno; Nuril Lutvi Azizah
Jurnal Ilmiah Komputasi Vol. 22 No. 1 (2023): Jurnal Ilmiah Komputasi : Vol. 22 No 1, Maret 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.22.1.3321

Abstract

Prestasi kerja Pranata Komputer diukur berdasarkan keberhasilan dalam mengumpulkan angka kredit selama periode waktu tertentu. Angka Kredit diperoleh dari akumulasi nilai butir kegiatan yang harus dicapai dalam rangka pembinaan karier. Butir kegiatan Pranata Komputer sebagaimana tertuang dalam Peraturan Menteri Pendayagunaan Aparatur Negara dan Reformasi Birokrasi Nomor 32 tahun 2020 sedangkan petunjuk teknis penilaiannya diatur dalam Peraturan Kepala Badan Pusat Statistik Nomor 2 Tahun 2021. Untuk mendapatkan angka kredit, setiap Pranata Komputer harus membuat daftar usul penilaian angka kredit (DUPAK). Saat ini mekanisme pengajuan DUPAK masih dilakukan secara manual. Pranata Komputer menyusun DUPAK yang terdiri dari berbagai dokumen bukti fisik pelaksanaan butir kegiatan tugas dalam format berkas hardcopy kemudian mengirimkan secara manual ke Sekretariat Tim Penilai Angka Kredit. Tim Penilai kesulitan ketika memeriksa bukti fisik dalam format hardcopy dan Sekretariat Tim Penilai kesulitan ketika melakukan rekapitulasi nilai secara manual dan berpotensi terjadinya kesalahan perhitungan nilai. Dengan dibangunnya Aplikasi ini Pranata Komputer dapat mengajukan DUPAK secara online dan paperless, Tim Penilai dapat melakukan penilaian dengan mudah dan Sekretariat Tim Penilai dapat mengelola data pengajuan DUPAK dengan lebih baik dan efisien. Sistem ini dirancang menggunakan UML (Unified Modelling Language), dibangun menggunakan framework Laravel didukung dengan database MySQL dan diuji dengan metode blackbox.
Implementasi Fuzzy Tsukamoto Dan Algoritma Genetika Pada Pemilihan Skincare Fina Rahma Dewi; Nuril Lutvi Azizah; Hindarto Hindarto
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 2 (2023): April 2023
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v5i2.785

Abstract

Choosing the right skincare product is an important step in facial skin care, but this process requires the expertise of a specialist, which is relatively slow. The purpose of this research is to optimize the skincare product selection process by creating an expert system using the Matlab application. The method used in making the expert system is the Tsukamoto fuzzy method and genetic algorithms. The Tsukamoto fuzzy inference system helps select skincare by using membership limits according to specialist at clinic. There are four input variables, namely skin moisture, enlarged pores, blackheads, telangiactasis and one output, namely type of skincare package. The Tsukamoto fuzzy membership limit will be optimized with genetic algorithm using different crossover rate (cr) variations. The results showed that Tsukamoto's fuzzy accuracy level was 65.37%. After optimizing the membership limit, the accuracy rate increases by 17.63% to 82,93%. The increase in accuracy shows that the expert system using the two Tsukamoto fuzzy methods and the genetic algorithm is better when compared to using only the Tsukamoto fuzzy method. The optimal parameter in the genetic algorithm is the Crossover rate (cr) 0.4, with a Mutation Rate of 0.01 and the number of generations is 10.
Rancang Bangun dan Implementasi Aplikasi e-DUPAK Pranata Komputer Berbasis Website Menggunakan Framework Laravel di Pemerintah Kabupaten Sidoarjo Handoko Irawan; Sumarno; Nuril Lutvi Azizah
Jurnal Ilmiah Komputasi Vol. 22 No. 1 (2023): Jurnal Ilmiah Komputasi : Vol. 22 No 1, Maret 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.22.1.3321

Abstract

Prestasi kerja Pranata Komputer diukur berdasarkan keberhasilan dalam mengumpulkan angka kredit selama periode waktu tertentu. Angka Kredit diperoleh dari akumulasi nilai butir kegiatan yang harus dicapai dalam rangka pembinaan karier. Butir kegiatan Pranata Komputer sebagaimana tertuang dalam Peraturan Menteri Pendayagunaan Aparatur Negara dan Reformasi Birokrasi Nomor 32 tahun 2020 sedangkan petunjuk teknis penilaiannya diatur dalam Peraturan Kepala Badan Pusat Statistik Nomor 2 Tahun 2021. Untuk mendapatkan angka kredit, setiap Pranata Komputer harus membuat daftar usul penilaian angka kredit (DUPAK). Saat ini mekanisme pengajuan DUPAK masih dilakukan secara manual. Pranata Komputer menyusun DUPAK yang terdiri dari berbagai dokumen bukti fisik pelaksanaan butir kegiatan tugas dalam format berkas hardcopy kemudian mengirimkan secara manual ke Sekretariat Tim Penilai Angka Kredit. Tim Penilai kesulitan ketika memeriksa bukti fisik dalam format hardcopy dan Sekretariat Tim Penilai kesulitan ketika melakukan rekapitulasi nilai secara manual dan berpotensi terjadinya kesalahan perhitungan nilai. Dengan dibangunnya Aplikasi ini Pranata Komputer dapat mengajukan DUPAK secara online dan paperless, Tim Penilai dapat melakukan penilaian dengan mudah dan Sekretariat Tim Penilai dapat mengelola data pengajuan DUPAK dengan lebih baik dan efisien. Sistem ini dirancang menggunakan UML (Unified Modelling Language), dibangun menggunakan framework Laravel didukung dengan database MySQL dan diuji dengan metode blackbox.
Penerapan Aplikasi Sistem Pakar Untuk Mendiagnosa Penyakit Kucing Berbasis Web Menggunakan Metode Forward Chaining Dan Certainty Factor Febrina Shanti Nurrachma; Nuril Lutvi Azizah; Metatia Intan Mauliana
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.6029

Abstract

Cats are animals that are loved and admired by the public because of their beautiful physical shape and adorable behavior. But most cat keepers do not know how to treat and do not know the disease experienced by their pets just by looking at the symptoms of the disease that occurs in cats. So many cat owners are not aware if their cat has a disease and is late in providing treatment. From these problems, an expert system is needed that can help in solving problems, an expert system application that adopts artificial intelligence in the field of veterinary medicine that can diagnose diseases in cats. The purpose of this research is to build an expert system that is useful as a tool for diagnosing diseases in cats based on the web using forward chaining and certainty factor methods. This system is built using PHP and MySQL programming languages and based on the results of system functional testing using black box testing which states that the system is running well and all components produce the expected results and are able to assist users in diagnosing cat diseases, the results of disease diagnosis and the confidence value is in accordance between manual calculations and calculations on the system by bringing up the results of certainty value calculations  factor in each possible disease detected on the website. From the day of diagnostic testing, it was concluded that 33% of cats were diagnosed with feline calciirus, 33% of cats were diagnosed with feline panleuopenia, 40% of cats were diagnosed with feline rhinotracheitis, 37% of cats were diagnosed with helmathiasis, 80% of cats were diagnosed with otitis, 36% of cats were diagnosed with ringworm, 68% of cats were diagnosed with scabies.
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