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All Journal Journal of Food and Pharmaceutical Science Jurnal Pendidikan Matematika Undiksha Scan : Jurnal Teknologi Informasi dan Komunikasi Sinkron : Jurnal dan Penelitian Teknik Informatika JUTIK : Jurnal Teknologi Informasi dan Komputer Akta Kimia Indonesia WIDYABHAKTI Jurnal Ilmiah Populer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Computer Networks, Architecture and High Performance Computing JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Tika JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Prioritas : Jurnal Pengabdian Kepada Masyarakat Dharma Jnana Jurnal Ilmiah Ilmu Terapan Universitas Jambi Jurnal Pengabdian Kepada Masyarakat Widya Mahadi Journal of Global Pharma Technology Jurnal Media Akademik (JMA) Prosiding SENAMA PGRI Jurnal Bisnis Inovatif dan Digital Router : Jurnal Teknik Informatika dan Terapan Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Jurnal Manajemen Bisnis Digital Terkini Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Saturnus: Jurnal Teknologi dan Sistem Informasi KOMET Jurnal Manajemen Akuntansi dan Ilmu Ekonomi Router : Jurnal Teknik Informatika dan Terapan Jurnal Kendali Teknik dan Sains
I WAYAN SUDIARSA
STMIK STIKOM Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Eksplorasi Pengalaman Belajar Siswa Melalui Media Ular Tangga Dalam Pembelajaran Matematika Ayu Sri Dewi; I Wayan Sudiarsa
Prosiding SENAMA PGRI Vol. 4 (2026): Volume 4 Tahun 2026
Publisher : Program Studi Pendidikan Matematika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59672/senama.v4.6116

Abstract

Pembelajaran matematika sering menghadapi tantangan terkait keterlibatan dan pemahaman siswa, terutama ketika metode tradisional dominan digunakan. Penelitian ini bertujuan mendeskripsikan pengalaman belajar siswa dalam menggunakan media permainan ular tangga pada materi operasi bilangan bulat di SMP Negeri 8 Denpasar. Penelitian menggunakan desain deskriptif kualitatif dengan fokus pada pengalaman pengguna (user experience) yang mencakup dimensi daya tarik, kejelasan, efisiensi, ketepatan, stimulasi, dan kebaruan. Data dikumpulkan melalui User Experience Questionnaire (UEQ) dan dianalisis secara deskriptif. Hasil penelitian menunjukkan bahwa media ular tangga dipersepsikan positif oleh siswa pada sebagian besar dimensi, dengan daya tarik, efisiensi, dan kebaruan berada pada kategori above average, serta kejelasan dan stimulasi pada kategori good, sementara ketepatan berada pada kategori below average. Temuan ini mengindikasikan bahwa media permainan ular tangga dapat meningkatkan keterlibatan, motivasi, dan pemahaman konsep matematika secara lebih interaktif dan menyenangkan, meskipun aspek teknis seperti konsistensi dan ketepatan respon masih perlu penyempurnaan. Penelitian ini memberikan kontribusi praktis bagi guru dalam merancang media pembelajaran yang berorientasi pada pengalaman siswa dan memperkaya kajian teoretis mengenai integrasi perspektif user experience dalam pendidikan matematika.
Klasifikasi Data Balita Stunting dengan Metode Decision Tree I Made Gde Bagus Baskara; I Wayan Sudiarsa; I Made Hendra Wijaya; I Kadek ShandyDwi Putra Andikha; Avento Maria Honestra Pratama Onggot
Switch : Jurnal Sains dan Teknologi Informasi Vol. 4 No. 1 (2026): Januari : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v4i1.789

Abstract

Stunting is a chronic malnutrition condition that significantly impacts the physical growth and cognitive development of toddlers, often leading to irreversible damage to physical and mental capabilities during the critical first 1,000 days of life. In Indonesia, stunting remains a critical public health concern that requires early and accurate detection to mitigate long-term adverse effects. Conventional methods of determining nutritional status often rely on manual measurements and look-up tables, which can be time-consuming and susceptible to human error when processing large datasets. This study aims to address these challenges by developing an automated classification model for toddler stunting status using the Decision Tree algorithm. The research methodology includes data collection, preprocessing (cleaning and attribute selection), and model training using the Python programming language within the Google Colab environment, leveraging the Scikit-Learn library for efficient computation. The dataset utilized comprises key anthropometric attributes such as age, gender, body height, and weight. The experimental results demonstrate that the Decision Tree model effectively classifies nutritional status with an accuracy of 99,91%, indicating a high degree of reliability for practical implementation. Furthermore, the model generates interpretable decision rules, enabling healthcare practitioners to easily understand the primary determinants of stunting. Consequently, this model reliably aids in early stunting detection and prevention, potentially facilitating real- time monitoring in remote areas where access to specialized pediatric care is limited.
Analisis Prediksi Customer Churn pada Sektor E-Commerce Berdasarkan Perilaku Transaksi Menggunakan Pendekatan Machine Learning Nadeerah Hani’ Fauziyyah; I Wayan Sudiarsa; Ida Ayu Eka Sastradewi; Kadek Agustine Yueyin Parisya; Sartika Sartika
Jurnal Manajemen Bisnis Digital Terkini Vol. 3 No. 2 (2026): April: Jurnal Manajemen Bisnis Digital Terkini
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jumbidter.v3i1.1228

Abstract

Because it directly impacts revenue, customer loyalty, and long-term business sustainability, customer churn is a critical issue for the e-commerce industry. High churn rates indicate that a business is unable to retain existing customers, which means it is more expensive to acquire new customers. Therefore, a precise analytical approach is needed to identify customer behavior patterns that are likely to churn. Using machine learning methods, this study analyzes and predicts customer churn. For this study, the E-Commerce Customer Churn 2025 dataset, obtained from Kaggle, was used. This dataset consists of 10,000 customer data and contains fifteen variables covering transaction behavior, customer characteristics, and churn status. Data preprocessing, descriptive analysis, exploratory data analysis (EDA), and classification model development using Logistic Regression and Random Forest algorithms were part of the research project. Model evaluation was conducted using a Confusion Matrix and Receiver Operating Characteristic (ROC) Curve to evaluate the model's accuracy and ability to distinguish between churned and non-churned customers. The results showed that the Random Forest model performed better than Logistic Regression, with an ROC-AUC of 1.00. Furthermore, feature importance analysis revealed that the days_since_last_purchase variable was the most dominant factor in predicting customer churn. These findings are expected to help e-commerce companies design more effective, data-driven customer retention strategies.  
Co-Authors A. A. Gde Ekayana Agung Ari Chandra Wibawa Agung Narayana Adhi Putra Andika, I Gede Aniek Suryanti Kusuma Ariana, Anak Agung Gede Bagus Ariani, Komang Aslin Thanelab Nope Augreselia Novita Nuer Avento Maria Honestra Pratama Onggot Ayu Sri Dewi Brian Adi Sapurta Dewa Ayu Ika Pramitha Dewa Ayu Putu Angelina Dewi Dewa Ayu Sri Handani Dewa Gde Agung Wisnu Anantha Dewa Putu Yudhi Ardiana Dirgayusari, Ayu Manik Gandika Supartha, I Kadek Dwi Gde Wardika Nugraha Gede Agus Santiago Giri, Putu Agus Semara Putra Gusti Ngurah Abhimanyu I Dewa Made Krishna Muku I Dewa Putu Juwana I Gede Adnyana I Gede Andika I Gede Iwan Sudipa I Gusti Ayu Anom I Gusti Made Aditya Putra I Gusti Ngurah Agung Putra Wijaya I Gusti Ngurah Galih Jimbar Baskara I Gusti Ngurah Rangga Mahesa I Kadek Adi Erawan I Kadek Adi Gunawan I Kadek ShandyDwi Putra Andikha I Kadek Yukiarta Putra I Ketut Okta Suastika I Komang Dika Setiawan I Komang Hari Sastrawan I Komang Sukendra I Made Gde Bagus Baskara I Made Jagat Dita I Made Suarta I Made Suarta I Made Surat I Nyoman Agus Suarya Putra I Nyoman Buda Hartawan I P.Fajar Adi Pradipta I Putu Dicky Dharma Suryasa I Putu Diva Naratama I Putu Kabinawa Raesa Putra I Wayan Dharma Suryawan I Wayan Eka Saputra I Wayan Manik Mas Sri Dantya I Wayan Sumandya I Wayan Surya Rahadi Ida Ayu Agung Ekasriadi Ida Ayu Eka Sastradewi Indra Pratistha Jepri Martana, I Nyoman Kadek Agustine Yueyin Parisya Kadek Bagus Karunia Dwi Dharmayasa Kadek Suryati Koten, Felixiana Made Hanindia Prami Swari Made Hendra Wijaya Maharianingsih, Ni Made Maria Karlinda Maria Oktaviani Suryati Nadeerah Hani’ Fauziyyah Ndinin, Maria Avilia NI KADEK RINI PURWATI Ni Luh Putu Sandrya Dewi Ni Made Dwi Junita Sariyani Ni Made Lisma Martarini Ni Made Sukma Sanjiwani Ni Nyoman Padmawati Ni Nyoman Wahyu Udayani NI PUTU AYU MIRAH MARIATI Ni Putu Kania Mahadina Ni Putu Sri Indah Wulandari Ni Wayan Anggreni Prabawati Sutrisna Ni Wayan Sunita Pande Wisnu Wijaya Putra Pande, Ni Kadek Nita Noviani Pera, Magdalena Matildis Palo Pramana, I Made Wisnu Yoga Puguh Santoso Putra , I Dewa Putu Gede Wiyata Putra, I Made Agus Sunadi Putri Maria Theresia Kehi Putu Agus Aditya Putra Putu Diah Kumalasari Putu Paramita Rusaldi PUTU SUGIARTAWAN Rahadi, I Wayan Surya Sanjiwani, Ni Made Sukma Sartika Sartika Sastaparamitha, Ni Nyoman Ayu J. Satwika, I Kadek Susila Setya Cahyani, I Gusti Ayu Agung Dwita Socatama, I Putu Yoga Suradana, I Made Suyitno, Yoga Kristian Syamsiar, Syamsiar Tebai, Elisabeth Lydia Trisnawati, Ni Komang Wardani, Ni Wayan Willdahlia, Ayu Gede Wiyata Putra, I Dewa Putu Gede Yosefina Dehadi Yulianus Kevin Dharmawa Sagur Yustinus Liguori Yuvensia Armelia Sumu Zamzak , M.Arif