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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Penelitian Pendidikan Matematika dan Sains JIEET (Journal of Information Engineering and Educational Technology) JOURNAL OF APPLIED INFORMATICS AND COMPUTING PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of Robotics and Control (JRC) Jurnal Abdi: Media Pengabdian Kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Abdimas: Papua Journal Of Community Service Insyst : Journal of Intelligent System and Computation Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal of Informatics and Computer Science (JINACS) Ranah Research : Journal of Multidisciplinary Research and Development Serambi Engineering Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of Emerging Information Systems and Business Intelligence (JEISBI)
YUNI YAMASARI
Teknik Informatika, Universitas Negeri Surabaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Pengembangan Website Pergudangan berbasis FIFO untuk Optimalisasi Persediaan Barang di LMI Pusat Surabaya Nafisah, Nurun; Yamasari, Yuni
Journal of Informatics and Computer Science (JINACS) Vol. 5 No. 04 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jinacs.v5n04.p635-645

Abstract

Implementasi Data Mining Untuk Pengelompokan Kunjungan Wisata Di Kabupaten Mojokerto Firdaus, Mohamad Adi Putra; Yamasari, Yuni
Journal of Informatics and Computer Science (JINACS) Vol. 6 No. 01 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jinacs.v6n01.p22-29

Abstract

Algoritma MADM pada Sistem Pendukung Keputusan untuk Peminjam Ruang Rapat Berbasis Website Saputra, Ivan Rangga; Yamasari, Yuni
Journal of Informatics and Computer Science (JINACS) Vol. 6 No. 01 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jinacs.v6n01.p30-38

Abstract

Eksplorasi Fitur Seleksi pada SVM dan Random Forest dalam Analisis Sentimen Aplikasi GoPay S., Rahma Aziz; Yamasari, Yuni
Journal of Informatics and Computer Science (JINACS) Vol. 6 No. 01 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jinacs.v6n01.p55-65

Abstract

Perbandingan Metode SVM dengan Decision Tree untuk Analisis Sentimen Ulasan Aplikasi Carousell Mediana, Prissely Pravasstifany; Yamasari, Yuni
Journal of Informatics and Computer Science (JINACS) Vol. 6 No. 01 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jinacs.v6n01.p66-76

Abstract

Eksplorasi Teknik Pre-Processing Berbasis eXtreme Gradient Boosting (XGBoost) pada Klasifikasi Kredit Default Khahar, Abdul; Yamasari, Yuni
Journal of Informatics and Computer Science (JINACS) Vol. 6 No. 02 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jinacs.v6n02.p453-464

Abstract

Pengembangan Website E-Ticketing Multi-Platform dan Algoritma Non-Iteratif di Sampoerna Academy Surabaya Ramadhan, Dani; Yamasari, Yuni
Journal of Informatics and Computer Science (JINACS) Vol. 6 No. 02 (2024)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jinacs.v6n02.p510-521

Abstract

Exploring the tree algorithms to generate the optimal detection system of students' stress levels Yamasari, Yuni; Qoiriah, Anita; Rochmawati, Naim; Prapanca, Aditya; Prihanto, Agus; Suartana, I Made; Ahmad, Tohari
Indonesian Journal of Electrical Engineering and Computer Science Vol 36, No 1: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v36.i1.pp548-558

Abstract

The significant changes in the world of education after the coronavirus disease 2019 (COVID-19) pandemic have increased students' anxiety levels. This anxiety can trigger stress which can interfere with students' academic performance. Therefore, this condition is a critical problem that needs to be addressed immediately. However, researchers have not previously conducted much research to detect post-COVID stress levels. Apart from that, the existence of a system capable of carrying out this detection is still lacking. Therefore, this research focuses on building a system for detecting student stress levels. First, an exploration of the tree algorithm was carried out to find the most optimal method for recognizing student stress levels. Then a detection system is built using this optimal method. The research results show that the tree ID3 (Iterative Dichotomiser 3) algorithm achieves the highest accuracy value of 95% compared to other tree algorithms with the scenario of dividing training data into test data of 80%:20%. Moreover, this telegram bot-based detection system works well in recognizing three categories of stress, namely: light-, moderate-, and heavy stress based on black-box testing techniques.
Klasifikasi Emosi Ulasan Produk E- Commerce Menggunakan Support Vector Machine Raharko, Natasha Isnaeni; Yamasari, Yuni
Journal of Informatics and Computer Science (JINACS) Vol. 6 No. 03 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jinacs.v6n03.p606-616

Abstract

Abstrak— Ulasan pada e-commerce dapat mempengaruhi keputusan pembeli dan menunjukkan emosi pembeli terhadap produk yang mereka beli. Namun, analisis terhadap ulasan dalam e-commerce tersebut tidak mudah jika dilakukan secara manual. Oleh karena itu, penelitian ini memfokuskan domain tersebut dengan Support Vector Machine (SVM). Lebih lanjut, penelitian ini mengeksplorasi kernel dari SVM, yaitu: linear, polynomial, RBF, dan sigmoid. Nilai evaluasi tertinggi yang SVM tanpa data resampling untuk accuracy diraih oleh SVM kernel Linear dan Sigmoid sebesar 66.30. Precision, recall, dan f1-score diraih oleh SVM kernel Sigmoid dengan masing-masing 66.00, 62.12, dan 62.91. Untuk data resampling, accuracy dan precision tertinggi dicapai oleh SVM kernel RBF dengan nilai 61.97 dan 62.04. Sedangkan, nilai recall dan f1-score dengan data resampling diraih oleh SVM kernel Linear dengan nilai 65.19 dan 64.46. Berdasarkan kinerja secara kesesluruhan, accuracy tertinggi diraih oleh SVM kernel Linear dan Sigmoid, yaitu 66,30, precision tertinggi oleh SVM kernel RBF, yaitu 67,25, recall tertinggi oleh SVM kernel Sigmoid, yaitu 62,12, dan f1-score tertinggi oleh SVM kernel Sigmoid, yaitu 62,91.   Kata Kunci— Klasifikasi, Support Vector Machine, kernel, emosi, ulasan
Sistem Rekomendasi Tempat Wisata di Gresik dengan Implementasi Algoritma Multi-Attribute Decision Making (MADM) Sukrisna; Yuni Yamasari
Journal of Informatics and Computer Science (JINACS) Vol. 6 No. 03 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jinacs.v6n03.p688-695

Abstract

Abstrak— Perkembangan teknologi berdampak signifikan pada sektor pariwisata. Gresik, dengan potensi alam, sejarah, dan budaya yang kaya, menghadirkan tantangan dalam memilih destinasi wisata yang sesuai. Sistem pendukung sebuah keputusan (SPK) menjadi penting untuk memudahkan proses ini. Penelitian ini membandingkan dua metode SPK, yaitu Analytic Hierarchy Process (AHP) dan Metode Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), dalam memilih tempat wisata di Gresik. Kedua metode dibandingkan berdasarkan variabel jarak, rating, dan jumlah pengunjung, serta kecepatan dan efisiensi eksekusi. Hasilnya diharapkan memberikan wawasan tentang efektivitas masing-masing metode dan berkontribusi pada pengembangan sistem informasi pemilihan tempat wisata yang lebih optimal di Gresik. Kata kunci: sistem pendukung keputusan, AHP, TOPSIS, pariwisata, Gresik.
Co-Authors Aditya Prapanca Agnes, Rifa Zaini Agus Prihanto Agus Prihanto Agus Setiawan Agustin Tjahyaningtijas, Hapsari Peni Alhakiim, Thomi Aditya Alpiana, Intan Ammar, Muhammad Zhafran Amrina Rosyada Andi Iwan Nurhidayat Anggraini, Lusiana ANITA QOIRIAH Anita Qoiriah Anita Qoiriah Anjani, Ayu Annisa Nur Hidayati ARI KURNIAWAN Arya Tandy Hermawan Asma Johan Asmunin Asmunin Atik Wintarti Atik Wintarti Aviana, Anisah Nurul Azalia, Virna Hari Nur Chindy Ayudia Sri Fastaf Eka Putra, Ricky Ervin Yohannes Esther Irawati Setiawan Esti, Esti Yogiyanti Fani Fadillah Hermawan Farid Baskoro Fatimah Nur Alifiah Firdaus Bagus Wicaksono Firdaus, Mohamad Adi Putra Hani Nafisah Amaliya Hanik Badriyah Hidayati,* Mohammad Hasan Machfoed,* Kuntoro,** Soetojo,*** Budi Santoso,**** Suroto,***** Budi Utomo****** Hapsari Peni Agustin Tjahyaningtijas Harahap, Satria Baladewa I Made Suartana Ika Putri Arisanti Iqbaal Januar Eka Firmansyah Ismail Johanes, Sugiharto Khahar, Abdul Khusna, Asmaul M Dzikri Hisyam Ilyasa M. Aziz Rizaldi Mas Arya Bhisma Rangga Douval Saputra Mauridhi H. Purnomo Mediana, Prissely Pravasstifany Muhamad Azis Thohari Muhamad Khafidhun Alim Muslim Muhammad Rifki Agustian Muhammad Zakia Avlach Muttaqin, Aziz Fiqri Nafisah, Nurun Naim Rahmawati Naim Rochmawati Naim Rochmawati Nanda Ade Handaya Nugroho, Supeno M. S. Praptama, Ervan Putri Alvina Putri, Rezky Arisanti Raden Mohamad Herdian Bhakti Rafli Aditya Pramana Raharko, Natasha Isnaeni Rahayu, Siskawati Rahmawati, Naim Rahulil, Muhammad Ramadhan, Dani Ricky Eka Putra Rina Harimurti Rochmawati, Naim S., Rahma Aziz Sadewa, Bagas Ahmad Salahuddin, Muhammad Rico Saputra, Ivan Rangga Shahputri, Vira Arum Solihin, Aziz Suartana, I Made Sukrisna Surya, Arum Ayu Suyatno, Dwi F. Syarif Hidayatulloh Tazki Yatun Niyah Tohari Ahmad Widi Aribowo Wiyli Yustanti Wiyli Yustanti Wiyli Yustanti Yogiyanti, Esti Yoyok Prastyo, Yoyok