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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Informatika Proceedings of KNASTIK Sisforma: Journal of Information Systems Jurnal Eksplorasi Karya Sistem Informasi dan Sains PROCEEDING IC-ITECHS 2014 Journal of Information System Sistemasi: Jurnal Sistem Informasi Jurnal Manajemen dan Bisnis Indonesia JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI JUTEI (Jurnal Terapan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informatika Universitas Pamulang Jurnal Teknologi Sistem Informasi dan Aplikasi Journal of Economic, Management, Accounting and Technology (JEMATech) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Business Management Journal Program Studi Manajemen Jurnal Leverage, Engagement, Empowerment of Community (LeECOM) Jurnal Informatika dan Sistem Informasi (JUISI) Jurnal Teknologi Informatika dan Komputer Jurnal Teknik Informatika (JUTIF) Teknika Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Proceedings of The ICECRS Prosiding Seminar Nasional Universitas Ma Chung Jurnal ilmiah teknologi informasi Asia JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Rinabi Tanamal
Universitas Ciputra
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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Development of a Family Meal Plan Application with Voice Recognition, Siri Integration, and Nutrition Management Using Data-Driven Approach Livanty Efatania Dendy; Celinka Eira Jove; Rinabi Tanamal
SISFORMA Vol 13, No 1: May 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v13i1.14489

Abstract

Maintaining a healthy diet has become increasingly important as fast-food consumption rises and nutritional balance is often overlooked. This research proposes a technology-based Family Meal Plan Application equipped with voice recognition, Siri integration, nutrition management, and automated grocery lists to assist home cooks in planning healthier meals more efficiently. The application was designed using Figma, developed with Flutter, and integrated with the Siri API to provide a seamless hands-free experience during cooking. A nutrition prediction model was also developed using a Kaggle dataset and deployed locally to generate real-time nutritional analysis. The final results of this study show that the application prototype successfully meets user needs in simplifying weekly meal planning, providing accurate voice-based cooking guidance, and offering automated nutrition calculations for each family member. User testing involving home cooks indicated increased efficiency in meal preparation, reduced cognitive load during recipe execution, and improved awareness of daily nutritional intake. The voice command system operated with high accuracy and responsiveness, while the automated grocery list feature significantly streamlined weekly shopping activities. Overall, the application demonstrates strong potential to support healthier family eating habits through an intelligent, data-driven, and user-friendly solution.
Hybrid Unsupervised-Supervised Learning for Housing Submarket Segmentation and Price Prediction in Surabaya Urban Areas Tanamal, Rinabi; Nugraha, Satria Adi; Rasyid Jr, Nathalia Minoque Kusuma Salma; Dendy, Livanty Efatania; Theijer, Jessica
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 3 (2026): JUTIF Volume 7, Number 3, June 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.3.5517

Abstract

Surabaya’s rapid population growth, reaching 3.02 million residents, has intensified housing affordability challenges and increased structural variability in residential markets. This study proposes a hybrid machine learning framework that combines unsupervised clustering with supervised classification to identify submarket segments and predict housing price categories. A dataset of 490 properties containing structural, land, ownership, and contextual features was preprocessed and analyzed using K-Means. Cluster quality assessment through elbow inspection and a silhouette score of 0.45 indicated the presence of five meaningful market segments. These segments served as targets for a supervised classification stage that evaluated seven models, optimized via randomized hyperparameter search within a standardized preprocessing pipeline. The RBF-SVM achieved the strongest performance, reaching 97 percent accuracy and a macro-F1 score of 0.97, representing an 8 percent improvement over non-hybrid baselines and outperforming boosted ensembles such as XGBoost. Permutation importance analysis identified number of floors, building orientation, position rank, and ownership status as dominant drivers of segment differentiation. The integration of clustering and classification enhances predictive reliability while improving interpretability, offering a transparent analytical toolkit for housing market assessment. The proposed framework provides actionable insights for developers, appraisers, and policymakers in Surabaya, enabling data-driven identification of submarkets and supporting more equitable housing strategies aligned with SDG 11 on sustainable urban development. The approach is scalable to other Indonesian cities and establishes a foundation for future work incorporating spatial, socioeconomic, or temporal predictors.
Co-Authors Abraham Agung Adhika Dwi Pramudita Adhika Dwi Pramudita, Adhika Dwi Adi Suryaputra Paramita Aditya Sugih Pangestu Alim Gunawan Alim Gunawan, Alim Alkent Alkent Andersen, Matthew Andiputra Andiputra Ardhityar Izaaz S Brandon, I Putu Budi Wijaya Celinka Eira Jove Christian Tanjono Christopher Adriel Citra, Caecilia Citra Citra, Joshua Ronaldo Daniel Deardo Damanik Daniel Martomanggolo Wonohadidjojo David B. Tonara David B. Tonara, David B. David Boy Tonara David Boy Tonara, David Boy Dendy, Livanty Efatania Devi Mawarni Evan Tanuwijaya Evelin Candratio Faisal Reza Sugma Prawira Fania Cecillia Felicia Graciella Felicia Gunadi Goldianus Solangius Mbete Hadi, Carren Pearl Hans Setiawan Hans Setiawan, Hans Hendrani, Edwin Hidajat, Calvin Chandra Indra Maryati Irawan, Valencia Elcheiana Ivan Sebastian Putra Ivan Sebastian Putra, Ivan Sebastian Jocelyn Leora Johan Limantono Joshua Ronaldo Citra Kamila, Marcia Kartika Gianina Tileng Kevin Razak Kevin Suteja Kevin Suteja, Kevin Leonardo Jeffry Sutedjo Liliana Dewi Livanty Efatania Dendy Mahotma, I Putu Aldi Satria Marshel Aditya Prayoga Michael Androanto T Michelle Chandra Mourent, Jefferson Muhammad Daral Darullah Nathalia Minoque Kusuma Salma Rasyid Jr Nazarinus Artasawarga Purnomo Nazarinus Artasawarga Purnomo, Nazarinus Artasawarga Nisaul Fadila Nisaul Fadila Okky Julian Atmajaya Tarmoko Om A.I Simeru Ong Felycia Christiana Ong Felycia Christiana, Ong Felycia Piters, Michelle Njio Rasyid Jr, Nathalia Minoque Kusuma Salma Saddam Husein Dio Darmawan Salsabila, Dewi Salma Satria Adi Nugraha Sonata Christian Stephanus Eko Wahyudi, Stephanus Eko Sutedjo, Leonardo Jeffry Theijer, Jessica Theresia Ratih Dewi Saputri Tony Antonio Trianggoro Wiradinata Wendra Hartono Wijaya, Yohan William Augusta Hareka Yosua Candra Yosua Setyawan Soekamto Yovita Chandra, Kezia Yuliani Suhartono Yulianto, Stefanus Yulmy Satria Mandala Putra Yuwono Marta Dinata