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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

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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 UBHINUS 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.
Rancang Bangun Media Pembelajaran Multibahasa Berbasis Web Menggunakan Metode Rapid Application Development Firdausi Usqi Salsabilah; Uce Indahyanti; Suhendro Busono; Yulian Findawati
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 02 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i02.1772

Abstract

This study aims to develop a web-based multilingual language learning media using the Rapid Application Development (RAD) method. This system supports learning five languages, namely English, Mandarin, Russian, Arabic, and English, through various features such as material management, quizzes, lectures, language levels, and integration with Telegram groups. RAD is used to accelerate the development process by enabling active participation of users in all departments. This study found that web-based language learning media meets user needs and provides an interactive learning experience, collaboration, and personal learning. This media is also equipped with intuitive navigation and clear visuals. This study makes a significant contribution to the development of multilingual language learning media and is an effective solution to improve the quality of global language learning. The application of the RAD method is efficient and can be applied to system development. For broader development, analytical learning and integration with external platforms can improve system functionality.
Prediksi Status Pekerjaan Lulusan SMK Menggunakan Algoritma Random Forest: Analisis Multifaktor Akademis, Sosial, dan Keluarga Muchamad Firmansyah Tubira; Yulian Findawati; Rohman Dijaya; Yunianita Rahmwati
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 02 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i02.1804

Abstract

This study aims to develop a prediction model for the employment status of senior high school (SMK) graduates in Indonesia using multifactor analysis involving academic performance, social environment, and society. This study uses a quantitative approach with the Random Forest algorithm to collect large amounts of data and provide specific predictions. The model predicts the employment status of SMK graduates by 76%, indicating good work performance. This study also found that significant community factors significantly affect the employment status of SMK graduates (36.5%), followed by social factors (35.2%) and academic factors (25.9%). This study encourages schools, parents, and the government to focus on holistic SMK education, such as collaboration between schools and industry, to improve the employment status of SMK graduates.
Design And Build Information System For Land Certificaton Of Land Office In Sidoarjo Regency : Rancang Bangun Sistem Informasi Sertifikasi Tanah Kantor Pertanahan Kabupaten Sidoarjo Rizky Fajar Ryandi; Yulian Findawati
Academia Open Vol. 3 (2020): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.3.2020.1124

Abstract

The purpose of this study is to build an information system for Land Certification in the Land Office of Sidoarjo Regency. This information system is a form of development in facilitating prospective applicants for making land easier and faster. To support the performance of the Sidoarjo Regency Land Office staff and make it easier for users to make land certificates. In this study, the method used was SDLC according to Ian Sommerville (2011). The cycle of stages contains requirement definition, system and software design, implementation and unit testing, integration and system testing, operation and maintenance so that the implementation can be maximized. The results of this study have built a Land Certification-based information system which greatly facilitates the performance of the Sidoarjo Regency Land Office staff. The conclusion from the research and discussion is that the Land Certification information system is running well and smoothly. With the existence of a land information system, it is hoped that it can help the work of BPN office officers, so that the efficiency and effectiveness of service performance can be improved as well as accelerating officer services for land-making transactions in Sidoarjo Regency.
Desingning An E-Voting Information System For Website-Based Village Head Elections : Perancangan Sistem Informasi E-Voting Pemilihan Kepala Desa Berbasis Website Aditya Kurniawan; Yulian Findawati
Academia Open Vol. 5 (2021): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.5.2021.1957

Abstract

Voting in a democratic country is an important part of the means of choosing leaders. The village head election process in Indonesia still uses conventional voting methods, namely using ballot paper media in the election process. Voting that is carried out conventionally has several obstacles, including the lack of guaranteeing the authenticity of voters' votes, so that people think the results of voting results are often manipulated. In addition conventional selection is deemed inaccurate and time-consuming and costly. In this study the aim of this research is to design an information system e-voting that can be used for the Election of the Village Head of Cemandi, Sedati, Sidoarjo, East Java, where by using this system the election process becomes easier by ensuring the accuracy of the vote count. This system development method uses the model of software engineering waterfall. The test results blackbox show that the functions of the features in the system are running well. Based on the UAT test, the system received an average percentage rate of 86%.
Application Of Data Mining On Sidoarjo Leather Crafts Sales With Apriori Algorithm To Assist Marketing Strategies: Penerapan Data Mining Pada Penjualan Kerajinan Kulit Sidoarjo Dengan Algoritma Apriori Untuk Membantu Strategi Pemasaran Muhamad Alfin Firdiansyah; Yulian Findawati
Academia Open Vol. 4 (2021): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.4.2021.1966

Abstract

Sidoarjo is one of the regencies that is developing in a forward direction. This is known by the increase in the tourism sector and Small and Medium Enterprises. One of them is Sidoarjo leather handicraft. UD Qory Jaya is a business actor in the leather retail industry. Orders that continue to increase make the turnover of goods uneven resulting in a buildup of stock in stores. Due to these problems the compilers took the initiative to deliver messages by carrying out a method of processing data using the Apriori algorithm. This method is used to maximize the sales potential of a combination system of goods so that the target item for sale is appropriate. From the results of research conducted by testing a minimum support of 15% and a minimum of 20% confidence, the association rules are produced if you buy a slingbag then buy men's leather shoes and vice versa. And from the test results with a minimum support of 70% and a minimum confidence of 70% an association rule is not generated because the existing data does not exceed the minimum value of support and minimum confidence. With the implementation of this method, researchers hope to have a better impact for developing future marketing strategies based on previously researched data.
Virtual Reality For Android Based Parturition Simulation: Virtual Reality Untuk Simulasi Partus Berbasis Android Muhammad Sayyi Syeh Putradifa; Yulian Findawati
Academia Open Vol. 5 (2021): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.6.2022.2147

Abstract

The purpose of making this application is to facilitate the practice of learning the parturition process (childbirth) for midwifery academics. The method used is in the form of virtual reality applications, namely technology that has the potential to produce real conditions in the form of 3D objects and virtual environments to the user, in this case the simulation of parturition (childbirth). The results of making this application are used to make it easier for academics in the learning process, because for now what we know for the learning process and practice is still with aids in the form of visual aids that can only be found in hospitals or medical and midwifery schools. The benefits of using this application are to make it easier for midwifery academics in the learning process for parturition(childbirth).
Sentiment Analysis of Potential Presidential Candidates 2024: A Twitter-Based Study: Analisis Sentimen Calon Presiden Potensial 2024: Sebuah Studi Berbasis Twitter Yulian Findawati; Uce Indahyanti; Yunianita Rahmawati; Ratih Puspitasari
Academia Open Vol. 8 No. 1 (2023): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/acopen.8.2023.7138

Abstract

This study aims to analyze the sentiment towards potential presidential candidates for the 2024 election in Indonesia based on Twitter users' opinions. Three prominent figures, Ganjar Pranowo, Anies Baswedan, and Prabowo Subianto, were surveyed to gauge their electability. Using machine learning classification methods, Support Vector Machine, Bernoulli Naïve Bayes, and Logistic Regression, sentiment classification was performed. The findings indicate that Twitter users expressed predominantly positive sentiments towards each potential candidate. The evaluation of the classification algorithms showed SVM with 84% accuracy, Bernoulli Naïve Bayes with 77%, and Logistic Regression with 84%. This research sheds light on public sentiment towards potential leaders, offering valuable insights for political strategists and decision-makers in shaping effective election campaigns. Highlight: Sentiment Analysis: The study employs machine learning techniques to analyze the sentiments expressed by Twitter users towards potential presidential candidates for the 2024 election in Indonesia. Positive Sentiments: The findings reveal that Twitter users predominantly exhibit positive sentiments towards all three potential candidates, Ganjar Pranowo, Anies Baswedan, and Prabowo Subianto. Election Insights: This research provides valuable insights into public sentiment, offering valuable information for political strategists and decision-makers in devising effective election campaigns for the upcoming presidential election. Keyword: Sentiment Analysis, Twitter Users, Potential Presidential Candidates, Machine Learning, Election 2024
Penerapan Aplikasi Berbasis AI dalam Pembelajaran Matematika untuk Mendukung Literasi Digital Siswa SMK Muhammadiyah 2 Taman Sidoarjo Yulian Findawati; Novia Ariyanti
Jurnal Abdimas Indonesia Vol. 6 No. 2 (2026)
Publisher : Perkumpulan Dosen Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34697/jai.v6i2.3276

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi guru dalam memanfaatkan Artificial Intelligence (AI) sebagai pendukung pembelajaran matematika guna memperkuat literasi digital siswa. Latar belakang kegiatan ini didasarkan pada masih dominannya metode pembelajaran konvensional serta rendahnya pemanfaatan teknologi digital di SMK Muhammadiyah 2 Taman Sidoarjo. Pelaksanaan kegiatan dilakukan pada tanggal 26 Januari 2026 di Aula SMK Muhammadiyah 2 Taman Sidoarjo dengan melibatkan delapan guru matematika sebagai peserta. Metode kegiatan meliputi pelatihan, praktik langsung, serta pendampingan dalam mengintegrasikan AI ke dalam perangkat pembelajaran seperti RPP dan LKPD. Hasil kegiatan menunjukkan bahwa 87,5% peserta mampu mengoperasikan aplikasi AI dengan baik dan 75% guru berhasil menyusun perangkat pembelajaran berbasis AI secara mandiri. Selain itu, terjadi peningkatan pemahaman penggunaan teknologi sebesar 30% berdasarkan hasil pre-test dan post-test. Evaluasi kepuasan peserta menunjukkan nilai rata-rata 4,5 dari skala 5, yang mengindikasikan bahwa pelatihan berjalan dengan sangat baik dan memberikan manfaat nyata bagi peserta. Dengan demikian, kegiatan ini terbukti efektif dalam meningkatkan kompetensi guru serta mendukung penguatan literasi digital dalam pembelajaran matematika.
Pengelompokkan Unit Kendaraan Sewa Pada Rental Mobil Permata Transindo Sidoarjo Menggunakan Algoritma K-Means Clustering Mahelda Asri Sudarsono; Yulian Findawati; Uce Indahyanti; Ika Ratna Indra Astutik
SemanTIK : Teknik Informasi Vol. 11 No. 1 (2025): Vol. 11 No. 1 (2025): SemanTIK Teknik Informasi
Publisher : Informatics Engineering Department of Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/semantik.v11i1.122

Abstract

Abstrak Latar belakang penelitian ini adalah meningkatnya kebutuhan akan layanan transportasi yang efisien, di mana rental mobil menjadi solusi praktis bagi individu dan perusahaan. Namun, perusahaan menghadapi tantangan dalam mengelola armada dan menentukan keputusan pembelian kendaraan yang tepat. Oleh karena itu, penelitian ini bertujuan untuk menganalisis pengelompokkan unit kendaraan berdasarkan data penyewaan yang dikumpulkan. Metode yang digunakan adalah K-Means Clustering, yang memungkinkan pengelompokan data berdasarkan karakteristik serupa. Hasil penelitian menunjukkan bahwa empat cluster optimal berhasil diidentifikasi, dengan Davies-Bouldin Index (DBI) terendah sebesar 0,834135. Setiap cluster mewakili kategori unit berdasarkan lama sewa dan anggaran, memberikan wawasan berharga bagi perusahaan dalam manajemen pengelolaan armada kendaraan secara efektif dalam memberikan rekomendasi unit yang sesuai dengan kebutuhan pelanggan. Penelitian ini menekankan pentingnya penerapan metode K-Means sebagai alat bantu untuk perusahaan dalam menentukan jenis mobil yang banyak tersewa sehingga memudahkan dalam pengecekkan perawatan armada. Selain itu penerapan metode K-Means juga membantu dalam memberikan rekomendasi unit kepada pelanggan sesuai dengan anggaran yang diinginkan This research is motivated by the increasing need for efficient transportation services, where car rentals have become a practical solution for individuals and companies. However, companies face challenges in managing their fleet and making appropriate vehicle purchase decisions. Therefore, this study aims to analyze the grouping of vehicle units based on collected rental data. The method used is K-Means Clustering, which allows data grouping based on similar characteristics. The research results indicate that four optimal clusters were successfully identified, with the lowest Davies-Bouldin Index (DBI) of 0.834135. Each cluster represents a unit category based on rental duration and budget, providing valuable insights for companies in effectively managing their vehicle fleet and providing unit recommendations that suit customer needs. This study emphasizes the importance of applying the K-Means method as a tool for companies in determining the types of cars that are in high demand, making it easier to check fleet maintenance. In addition, the application of the K-Means method also helps in providing unit recommendations to customers according to their desired budget
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