Article Per Year (5 Year)
p-Index From 2021 - 2026
12.242
P-Index
This Author published in this journals
All Journal Jurnal Informatika Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Teknologi Informasi dan Ilmu Komputer SMATIKA Journal of Animation & Games Studies Fountain of Informatics Journal Jurnal Ilmiah KOMPUTASI Jurnal Pengabdian UntukMu NegeRI JOIV : International Journal on Informatics Visualization Journal of Information Technology and Computer Science Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Eksplora Informatika Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam JURTEKSI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) PrimaryEdu - Journal of Primary Education Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik JATI (Jurnal Mahasiswa Teknik Informatika) JIKA (Jurnal Informatika) Infotek : Jurnal Informatika dan Teknologi Indonesian Journal of Cultural and Community Development Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia Indonesian Journal of Innovation Studies Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) PELS (Procedia of Engineering and Life Science) Proceedings of The ICECRS Procedia of Social Sciences and Humanities Publikasi Pengabdian Masyarakat Komputer dan Teknologi (PUNDIMASKOT) JOINCS (Journal of Informatics, Network, and Computer Science) STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Jurnal Sistem Informasi Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Indonesian Journal of Applied Technology Journal of Technology and System Information Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Journal of Electrical Engineering semanTIK Journal of Blockchain, Nfts and Metaverse Technology IJHCS Smatika Jurnal : STIKI Informatika Jurnal Academia Open Journal of Artificial Intelligence and Digital Economy
Yulian Findawati
Program Studi Teknik Informatika, Universitas Muhammadiyah Sidoarjo
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Transportation Other

Published : 95 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 95 Documents
Search

 3   4   5   6   7 
Text Preprocessing on Emotional Tweets Case Study: Covid-19 Vaccine Rejection: Text Preprocessing pada Tweet Emosi Studi Kasus : Penolakan Vaksin Covid-19 Putri, Dewi Melisa; Findawati, Yulian
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1501

Abstract

Emotion, both verbal and non-verbal, plays a crucial role in expressing opinions, especially in the digital realm of text-based social media. Emotion classification becomes essential for extracting and categorizing responses or opinions expressed by individuals on various issues or events. This study focuses on classifying emotions conveyed in text-based opinions extracted from Twitter. Utilizing a dictionary-based approach, the research aims to classify emotions into seven categories: anticipation, pleasure, trust, anger, disgust, fear, and sadness. Through practical work, the author develops a dictionary comprising key words for each emotion aspect, facilitating accurate classification. The results contribute to enhancing understanding and analyzing emotional expressions in online discourse, offering valuable insights for sentiment analysis applications and social media monitoring tools. Highlights : Emotion classification crucial for understanding online opinions. Study focuses on categorizing emotions from Twitter text. Dictionary-based approach enhances accuracy in emotion classification. Keywords : Emotion classification, text-based social media, Twitter, dictionary-based approach, sentiment analysis.
Implementation of HSI and LBP Feature Extraction for Identification of Broccoli Quality with F-KNN Findawati, Yulian; Suryani, Siti Dwi; Indahyanti, Uce; Khubro, Jamaluddin Jumadil
Journal of Information Technology and Computer Science Vol. 9 No. 2: August 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.92582

Abstract

This study proposes a method of searching for broccoli quality based on imagery using the Fuzzy K-nearest neighbor (F-KNN). Broccoli is used because it is a type of herbaceous vegetable that has a unique color and shape so visual assessment is still limited. The data used in this study were taken from 2 cities in Indonesia, Pasuruan and Malang Regency which consisted of good quality and bad quality. The total data used is 120, each quality comprising 60 images. In the pre-processing process, several stages are carried out to proceed to the next process. Feature extraction is done through algorithms, namely HSI (Hue, Saturation, and Intensity) and LBP (Local Binary Pattern), which are then divided into training and testing data. F-KNN is used as a classification. The accuracy obtained from this study reached 94.4%. This value indicates that the use of both feature extraction and classification algorithms produces good accuracy in the training and testing data with a 40:60 scenario. This result showed the potential of the feature extraction and F-KNN algorithm when classifying a large number of broccoli qualities.
Mobile-based Smart Farmer Application as a Forum and Learning Center for Horticultural Crop Cultivation: Aplikasi Mobile Petani Pintar sebagai Wadah Forum dan Pembelajaran Budidaya Tanaman Hortikultura Findawati, Yulian; Sutarman; Rosid, Muhammad Alfan; Ramadhan, Aldo Reghan; Setiawan, Ari
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.355

Abstract

The driving wheel of the state's economy Alignment to small farmers must also be demonstrated by optimizing the role of extension workers. Agricultural extension workers can take advantage of digital information technology so that assistance can be done anytime and anywhere. Therefore, an application for an Android-based online forum and learning forum is needed to make it easier for farmers to get learning information about PEST management, nurseries and planting. With technology that supports learning, counseling, online forums, it is hoped that it will facilitate communication during the Covid-19 pandemic. is an online learning media application for farmers. Where farmers can see learning videos, bibliography, agricultural material, extension videos, discussions with farming communities and questions and answers with agricultural experts from both the government and universities. Due to the Covid pandemic, counseling communication was somewhat hampered. This application is built using the PHP, Java and MySQL programming languages. With this application, it is hoped that it will facilitate the process of learning, counseling and consulting by farmers
Web Based Correspondence Application as an Effort to Improve Public Service in Wonosari Village: Aplikasi Surat Menyurat Berbasis Web Sebagai Upaya Untuk Meningkatkan Pelayanan Publik Desa Wonosari Findawati, Yulian; Rosid, Muhammad Alfan; Hindarto; maulana, Metatia intan
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.356

Abstract

The role of digital transformation facilitates bureaucratic services in the village. Current technological developments bring many changes to various aspects, including the aspect of public administration services, one of which is online correspondence services which are useful for improving the village government management system so that it can work efficiently and effectively. So far, in Wonosari Village, correspondence services such as birth certificates, certificates of good behavior, transfer certificates and other letters are still done manually so it takes a long time. Therefore, a Web-based Correspondence Application was built in Wonosari Village. Where in this application consists of a menu of master data, Master Letters, Reporting, Validation of Letters and user settings. This application is built using the PHP programming language and MYSQL database. With this Web-based correspondence application, it is hoped that it will simplify and speed up the correspondence administration process at the village government level.
Aplikasi Pengenalan Teknologi Kapal Selam Pasopati Berbasis Augmented Reality Rizaldy, Moch Dimas Fahmi; Findawati, Yulian
Indonesian Journal of Applied Technology Vol. 1 No. 1 (2024): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijat.v1i1.3091

Abstract

Kapal selam merupakan jenis kapal yang memiliki kemampuan untuk beroperasi dibawah permukaan air. Dengan kemampuanya untuk bergerak tanpa terdeteksi dan mendekati wilayah musuh secara rahasia,kapal selam memainkan peran vital dalam menjaga kedaultan laut. Kapal selam KRI Pasopati 410 merupakan salah satu armada Angkatan laut Indonesia yang dibuat oleh Uni Soviet pada tahun 1952. Ada teknologi kapal selam pasopati yaitu teknologi Periskop Dan teknologi Sonar. Dalam menghadapi kemajuan teknologi kapal selam, penting untuk memastikan bahwa pemahaman masyarakat sejalan dengan perkembangan tersebut. Sayangnya, kenyataanya adalah pemahaman tersebut masih terbatas. oleh karena itu, diperlukan suatu solusi inovatif yang mampu mengatasi hambatan ini secara efektif dan menyampaikan pengetahuan tentang teknologi kapal selam kepada masyarakat. maka untuk mempermudah masyarakat mengetahui pengetahuan teknologi kapal selam pasopati penulis menggunakan teknologi augmented reality teknologi yang menggabungkan dunia fisik dengan elemen-elemen digital,menciptakan pengalaman pengguna yang menyatu antara dunia nyata dan virtual.
Klasifikasi Hate Speech dan Emosi Dalam Teks Berbahasa Indonesia Pada Pengguna Twitter Menggunakan Metode Naïve Bayes Classifier Pratama, Chandra Hary; Findawati, Yulian
Indonesian Journal of Applied Technology Vol. 1 No. 3 (2024): July
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijat.v1i3.3105

Abstract

Ujaran kebencian merupakan salah satu bentuk ekspresi yang menghasut, menyebarkan, membenarkan, atau mendorong kebencian, diksriminasi serta kekerasan atas individu dan kelompok sebab berbagai alasan. Hate speech biasanya ditemukan pada sosial media yang terhubung dengan internet, salah satunya pada penelitian ini melalui sosial media twitter dengan menggunakan metode Naïve Bayes Classifier. Dataset yang digunakan pada penelitian ini berjumlah 1800 data berlabel bukan ujaran kebencian dan 2250 data berlabel ujaran kebencian dengan perbandinghan 60% data latih dan 40% data uji. Hasil evaluasi data uji dengan confusion matrix diperoleh pengukuran matrix mean accuracy for hate speech classification 0,89 dan matrix mean accuracy for emotion classification 0,59. Berdasarkan hasil yang didapat tersebut dapat diambil kesimpulan bahwa untuk melakukan klasifikasi hate speech dan emosi pada Twitter menggunakan Naïve Bayes hasil paling bagus dengan Confusion Matrix tanpa melakukan seleksi fitur Information Gain.
RANCANG BANGUN PLATFORM CROWDFUNDING BERBASIS WEB MENGGUNAKAN RAPID APPLICATION DEVELOPMENT. STUDI KASUS: ALIFARM DIGITAL Muhammad Hilal Hamdi; Irwan Alnarus Kautsar; Yulian Findawati
Jurnal Informatika dan Rekayasa Elektronik Vol. 7 No. 1 (2024): JIRE APRIL 2024
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v7i1.1185

Abstract

Pemilik peternakan sering menghadapi berbagai tantangan, terutama terkait dengan pembiayaan. Mendapatkan modal yang cukup untuk mengembangkan atau mengoperasikan peternakan kambing sering kali menjadi hambatan utama bagi para peternak. Pengembangan Platform Crowdfunding Berbasis Web menggunakan metodologi Rapid Application Development. Studi kasus difokuskan pada Alifarm Digital, dengan tujuan menyediakan sistem komprehensif untuk pembiayaan proyek peternakan kambing. Penerapan RAD memastikan penciptaan sistem yang berkualitas tinggi secara cepat dan efisien, sesuai dengan kebutuhan peternak, investor, dan administrator. User Acceptance Testing (UAT) memainkan peran penting dalam memastikan platform memenuhi harapan dan kebutuhan pengguna. Platform ini menjanjikan dalam menjembatani kesenjangan pembiayaan bagi peternak dan mengurangi praktik penipuan dalam pembiayaan pertanian.
Implementasi Logika Fuzzy Untuk Menentukan Jumlah Produksi Roti Menggunakan Metode Tsukamoto Ipung Dwi Antoni; Yulian Findawati
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 01 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i01.1168

Abstract

In an effort to improve the sustainability of the product manufacturing business, an appropriate strategy is needed to avoid losses due to wrong policies. This research proposes the application of Tsukamoto fuzzy logic as a solution to determine bread production based on inventory and demand. Bread, as a product with a short expiration period, requires smart production management to avoid waste and losses. Many bakeries still adopt the traditional way without considering fluctuations in market demand, which may result in overproduction or stock shortages. This research takes the case of Sarinda bakery, which is experiencing challenges in coping with market demand fluctuations. Through the use of the Tsukamoto fuzzy method, the results showed an accuracy rate of 93.06%, with a Mean Absolute Percentage Error (MAPE) of 6.94%, a very good category. This method proves its effectiveness in helping entrepreneurs determine the amount of bread production in accordance with changing market conditions, without the need to add many existing production facilities. The use of Tsukamoto fuzzy logic in this context can be a smart solution to improve bread production efficiency and optimize business profits.
Implementasi Convolutional Neural Network (CNN) Untuk Mendeteksi Ujaran Kebencian Dan Emosi Di Twitter Nanda Mujahidah Andini; Yulian Findawati; Ika Ratna Indra Astutik; Ade Eviyanti
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 02 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i02.1346

Abstract

The research aims to develop an accurate and efficient hate speech detection model on Twitter's social media platform by leveraging the power of the Convolutional Neural Network. (CNN). The focus of this research is on identifying hate speeches that are loaded with negative sentiment, especially those related to racial, religious, and sexual orientation issues in the context of the Indonesian language. The research process involved collecting relevant Twitter datasets, preprocessing text to clear and compile data, and word representation using Word2Vec to capture contextual meanings. Specifically designed CNN models are then trained on that dataset. CNN's advantages in automatically extracting semantic features from text, coupled with the use of Word2Vec, allow the model to have high accuracy, which is 87%-99% for emotional assessment and 99% for hate speech assessment. This makes the model very effective in detecting subtle patterns in language that indicate the presence of hate speech. This research has made a significant contribution to the development of a better content moderation system on social media. With its ability to detect hate speech in real time, the model can help create a safer and more inclusive online environment. However, this research still has some limitations, such as limited data set size and variations of hate speech that are not fully represented. Therefore, further research is needed to overcome these limitations and improve the performance of the model.
Perancangan Sistem Informasi Pemeliharaan Barang Milik Daerah Berbasis Website Pada Dinas Perindustrian Dan Perdagangan Setyaningsih, Yuni; Findawati, Yulian; Senja Fitrani, Arif
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 12, No 3: Desember 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v12i3.1541

Abstract

The Department of Industry and Trade of Sidoarjo Regency oversees several work units, namely one UPTD and nineteen market units with far locations. To support public service operations, the work unit has large number of inventory items of types and quantities. Manual inventory management is an obstacle in the process of collecting and recording the maintenance of goods so that the maintenance of inventory items is not routine. Therefore, it is necessary to develop a local asset maintenance information system that can provide accurate maintenance data. This design application is designed using the waterfall method and is developed with web-based PHP sotfware, a MySQL database, and AdminLTE as its template. Testing this system uses the blackbox method so that the features in the application can be tested according to their functions. With the construction of this system, maintenance submissions can be done online and goods management is easy to control the goods maintained and recording maintenance shopping transactions is also more accountable.Keywords: Maintenance Information System; Website; AdminLTE; Waterfall AbstrakDinas Perindustrian dan Perdagangan Kabupaten Sidoarjo membawahi beberapa unit kerja yaitu satu UPTD dan sembilan belas unit pasar dengan jarak lokasi yang berjauhan. Untuk menunjang operasional pelayanan publik, unit kerja tersebut mempunyai barang inventaris yang jenis dan jumlahnya sangat banyak dan beragam. Pengelolaan inventaris yang masih manual menjadi kendala dalam proses pendataan dan pencatatan pemeliharaan barang sehingga perawatan barang inventaris tidak rutin. Sehingga dibutuhkan suatu sistem informasi yang dapat memberikan informasi data pemeliharaan barang milik daerah yang akurat. Metode waterfall digunakan untuk perancangan dan dikembangkan berbasis web dengan software PHP, database MySQL serta AdminLTE sebagai template aplikasinya. Pengujian sistem ini menggunakan metode blackbox agar fitur pada aplikasi dapat teruji sesuai dengan fungsinya. Dengan dibangunnya sistem ini pengajuan pemeliharaan dapat dilakukan secara online dan pengurus barang mudah dalam melakukan kontrol terhadap barang yang dipelihara dan pencatatan transaksi belanja pemeliharaan juga lebih akuntabel. 
Co-Authors A.A. Ketut Agung Cahyawan W Ade Eviyanti Aditya Kurniawan Adni Navastara, Dini Agustiningsih, Afikah Ahmad Rizqi Efendi Aji, Bagas Prakoso Aldio Nur Samsi Alim, Kholqi Aljunza, Marshal Sheva ardhi pradana Ari Setiawan Arif Senja Fitrani Arif Senja Fitrani Arif Senja Fitroni Armuri Wahyu Azinar Budi Raharjo, Agus Cindy Cahyaning Astuti Cindy Taurusta Diana Purwitasari Dwi Cahyono, Qitfirul Egha Arya Affandi Eni Fariyatul Fahyuni Erfina, Idha Maharani Ericka Sukma Putri Wilujeng Ericka Sukma Putri Wilujeng, Ericka Sukma Putri Evanka Ahmad Saddam Firdausi Usqi Salsabilah Fitroni, Arif Senja Galuh Ratmana Hanum Ganang Ganindra Aulia Akbar Gilang Dwi Anggoro Givari Eka Fajar Hanafi, Rizal Hidayah, Firmansyah Nur Hindarto Ida Rindaningsih, Ida Idha Maharani Erfina Ika Ratna Indra Astutik Imron Hidayat Indra Maulana Ipung Dwi Antoni Irwan A. Kautsar Irwan Alnanrus Kautsar Irwan Alnarus Kautsar Irwan Alnarus Kautsar Irwan Alnarus Kautsar Irwan Alnarus Kautsar Islam Al-Hazmi, Auliansyah Jihaan Anisa Mukti Khubro, Jamaluddin Jumadil M. Alfan Rosid M. Bima Surya Maghfiroh, Alfiah Mahelda Asri Sudarsono Malihatin S, Ulfah Malna, Intan Afriza Mardhatillah, Radhita Fitra Maulana, Mahardika Rafi maulana, Metatia intan Metatia Intan Mauliana Metatia Intan Mauliana Moch Irwan Al Khafid Mochamad Alfan Rosid Moh. Attar Jibran Mohammad Fadli Zaka Mohammad Suryawinata Muchamad Firmansyah Tubira Muhamad Alfin Firdiansyah Muhammad Alfin Firdiansyah Muhammad Ananta Hidayatulloh Muhammad Choir Ridho Azizi Muhammad Fedy Rifki Muhammad Hilal Hamdi Muhammad Iqbal Alfani Muhammad Iqbal Nahariqi Muhammad Sayyi Syeh Putradifa Muhammad Syafri Romadhon Nanda Mujahidah Andini Ni'matu Zahroh Novia Ariyanti Nuril Lutvi Azizah Nurwijayanti Pangestu, Krisna Aji Pratama, Chandra Hary Puspitasari, Anastasya Nadia Putri, Dewi Melisa Rafi Ar Rafii Ramadhan, Aldo Reghan Ratih Puspitasari Ratih Puspitasari Razif Zulvikar Hatuwe Ricki Maulana Abdillah Rizaldy, Moch Dimas Fahmi Rizky Fajar Ryandi Rohman Dijaya Rosid, Muhammad Alfan Safir Saputra Setiawan Saputra, Abhirama Septian Dwi Pratama Septian Dwi Pratama Setiawan Bagus Rustianto Setyaningsih, Yuni Sholihuddin, Ahmad Ahyar Siska Dyah Pertiwi Siti Nur Haliza Steven Owen Purnawan Suhendro Busono Suhendro Busono Suhendro Busono Suhendro Busono Sumarno , Sumarno Sumarno . Sumarno Sumarno Suprianto Suprianto Suprianto Supriyanto - Suryani, Siti Dwi Sutarman Tirta Arya Bimantoro Uce Indahyanti Uce Indahyanti Uce Indahyanti Wiwik Dwi Hastuti Wiwik Sumarmi Yasinta, Aulia Nur Yatestha, Anak Agung Yonathan, Vincent Yunianita Rahmawati Yunianita Rahmawati Yunianita Rahmawati Yunianita Rahmwati Zaka, Mohammad Fadli