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All Journal Jurnal Informatika Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Teknologi Informasi dan Ilmu Komputer 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 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) 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 Smatika Jurnal : STIKI Informatika Jurnal Academia Open
Yulian Findawati
Universitas Muhammadiyah Sidoarjo
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Public Health Social Sciences Transportation Other

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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 Ade Eviyanti Aditya Kurniawan Adni Navastara, Dini Agustiningsih, Afikah Ahmad Rizqi Efendi Aji, Bagas Prakoso Aldio Nur Samsi Alim, Kholqi Aljunza, Marshal Sheva Alnarus Kautsar, Irwan ardhi pradana Ari Setiawan Arif Senja Fitrani Arif Senja Fitroni Astutik, Ika Ratna Indra Budi Raharjo, Agus Cindy Cahyaning Astuti Diana Purwitasari Dwi Cahyono, Qitfirul Eni Fariyatul Fahyuni Erfina, Idha Maharani Ericka Sukma Putri Wilujeng Ericka Sukma Putri Wilujeng, Ericka Sukma Putri Firdausi Usqi Salsabilah Fitroni, Arif Senja Ganang Ganindra Aulia Akbar Hanafi, Rizal Hidayah, Firmansyah Nur Hindarto Ida Rindaningsih Ida Rindaningsih, Ida Idha Maharani Erfina Ika Ratna Indra Astutik Imron Hidayat Intan Mauliana, Metatia Irwan A. Kautsar Irwan Alnarus Kautsar Irwan Alnarus Kautsar Islam Al-Hazmi, Auliansyah Jihaan Anisa Mukti Kautsar, Irwan Alnanrus Khubro, Jamaluddin Jumadil Maghfiroh, Alfiah Mahelda Asri Sudarsono Malihatin S, Ulfah Malna, Intan Afriza Mardhatillah, Radhita Fitra Maulana, Mahardika Rafi maulana, Metatia intan Mauliana, Metatia Intan Mochamad Alfan Rosid Moh. Attar Jibran Mohammad Fadli Zaka Mohammad Suryawinata Muhamad Alfin Firdiansyah Muhammad Alfin Firdiansyah Muhammad Choir Ridho Azizi Muhammad Fedy Rifki Muhammad Hilal Hamdi Muhammad Sayyi Syeh Putradifa Muhammad Syafri Romadhon Nahariqi, Muhammad Iqbal Ni'matu Zahroh Novia Ariyanti Nuril Lutvi Azizah Nurwijayanti Pangestu, Krisna Aji Pratama, Chandra Hary Puspitasari, Anastasya Nadia Putri, Dewi Melisa Ramadhan, Aldo Reghan Ratih Puspitasari Ratih Puspitasari Rizaldy, Moch Dimas Fahmi Rizky Fajar Ryandi Rohman Dijaya Rosid, Muhammad Alfan Saputra, Abhirama Senja Fitrani, Arif Septian Dwi Pratama Septian Dwi Pratama Setiawan Bagus Rustianto Setyaningsih, Yuni Siska Dyah Pertiwi Siti Nur Haliza Steven Owen Purnawan Suhendro Busono Sumarno , Sumarno Sumarno . Suprianto Supriyanto - Suryani, Siti Dwi Sutarman Taurusta, Cindy Uce Indahyanti Wiwik Dwi Hastuti Wiwik Sumarmi Yasinta, Aulia Nur Yatestha, Anak Agung Yonathan, Vincent Yunianita Rahmawati Yunianita Rahmawati, Yunianita Zaka, Mohammad Fadli