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Pratiwi, Chairani Putri
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Perancangan Prototipe Digitalisasi Pengelolaan Asrama Berbasis Web terhadap Optimalisasi Peminjaman Fasilitas Permatasari, Ayrin Lucyani; Gunardi, Felicia; Acarya, I Wayan Maha; Wijaya, Matthew; Geraldo, Ryo Kenzie; Ningsih, Rahmi Yulia; Pratiwi, Chairani Putri
Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 2 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v5i2.2811

Abstract

A dorm is more than simply a place for students to live, it's also a place for them to socialize and develop their personalities, which has a big impact on both academic and non-academic aspects. In order to guarantee the residents' comfort, managing the needs of the dorm is essential. Errors in data recording, a lack of transparency in borrowing data, and ineffective coordination and communication are issues that frequently occur in the manual process of borrowing facilities. This study proposes an innovative approach for digitalizing dormitory facilities management, bringing all resident demands together on a single centralized platform. This prototype helps by eliminating the need for direct contact, which is frequently less efficient, and offering capabilities that save all data in a single database. The goal of this project is to create a web-based prototype that meets the requirements of dorm occupants and aids in resolving problems and difficulties that arise. Design thinking (empathize, define, ideate, prototype, test) was the methodology employed in this study. It began with direct observation to identify difficulties, followed by the creation of a prototype and a questionnaire for measuring user satisfaction. According to the results of the questionnaire, 88.79% of users expressed satisfaction with the system, particularly with regard to its usability, navigability, and attractive interface. With this system, the efficacy and simplicity of managing dormitory demands and facilities has improved.
Perancangan Aplikasi WEB Smartmom untuk Pemantauan Nutrisi Ibu Hamil Nafi, Daffa Akmal; Raditya Dinatha, I Made Dwipa; Liando, Jansen Daniel; Sulistyono, Nailah Putri; Senalia Devi, Ni Putu Balina; Ningsih, Rahmi Yulia; Pratiwi, Chairani Putri
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 3 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i3.1427

Abstract

Tingginya prevalensi Kekurangan Energi Kronis (KEK) pada ibu hamil dan anemia di Indonesia mengindikasikan suatu masalah gizi serius yang dapat menimbulkan potensi pada peningkatan risiko kematian ibu dan masalah stunting pada anak. Kesulitan utama yang dihadapi ibu hamil adalah minimnya pengetahuan akan keberadaan informasi mengenai gizi kehamilan yang akurat dan dapat dipercaya. Untuk mengatasi hambatan ini, dirancanglah aplikasi web SmartMom sebagai solusi digital berbasis Artificial Intelligence (AI) yang digunakan untuk memantau asupan nutrisi secara otomatis dan real-time. Adapun metode penelitian yang digunakan yaitu Design Thinking, meliputi tahapan Emptatize hingga Prototype. Survei dilakukan melalui kuesioner kepada 66 responden yang menunjukan bahwa 100% ibu hamil mengalami kesulitan mengatur pola makan dan 50% merasa tidak yakin akan kandungan gizi yang terdapat pada makanan yang dikonsumsi. Berdasarkan data ini, fitur utama SmartMom difokuskan pada Scan AI Nutrisi, Rekomendasi Menu Makanan, dan Jurnal Kesehatan. Perancangan ini menghasilkan prototype yang menunjukkan antarmuka dan fungsionalitas dasar sistem, yang diharapkan menjadi dasar yangkuta utk pengembagdan dan pengujian lebih lanjut Kata kunci : Nutrisi Ibu Hamil, Aplikasi Web, Artificial Intelligence.
Pengembangan Platform Pembelajaran Daring “KakTutor” Berbasis Kecerdasan Buatan dalam Menganalisis Emosi Siswa Tanjaya, Edmund Tyan; Sarkozy, Ferdiansyah; Haryanto, Immanuel Christian; Lienandi, Joseph Mitchel; Cen, Vin; Ningsih, Rahmi Yulia; Pratiwi, Chairani Putri
Jurnal Ilmiah Universitas Batanghari Jambi Vol 26, No 1 (2026): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v26i1.6386

Abstract

This study aims to develop an AI-based online learning system capable of detecting and analyzing students’ facial expressions in real time to help instructors better understand their emotions and levels of understanding. The research method employed is Research and Development (R&D) using a Prototype model, consisting of the stages of planning, prototype creation, user evaluation, refinement, and system finalization. The system was developed using the Face API and Google Gemini API with the Facial Action Coding System (FACS) approach to detect facial expressions. Expert testing results show a high level of system accuracy and effectiveness, with an average score of 4.44 (classified as very good). The system is considered effective in assisting instructors in recognizing students’ emotions and adapting teaching strategies accordingly. Therefore, the application of artificial intelligence in online learning has the potential to create a more interactive, empathetic, and effective learning environment.
Co-Authors Acarya, I Wayan Maha Agung Hari Sasongko, Agung Hari Aguzman, Glory Alfaizah, Muhamad Agung Aulia, Shinta Basuki, Carola Cen, Vin Chandra, Samuel Christian Desman Hidayat, Desman Eni, Yuli Febriyanto, Helen Geraldo, Ryo Kenzie Gozali, Yosua Wibisono Gunardi, Felicia Handojo, Wilson Haryanto, Immanuel Christian Hatanaka, Katsumori Jazzy, Jazzy Kusuma, Angger Dhisma Larasati, Hasna Liando, Jansen Daniel Lias, Sidney Lienandi, Joseph Mitchel Nafi, Daffa Akmal Ningsih, Rahmi Yulia Oxaveria, Carissa Xyla Permatasari, Ayrin Lucyani Prasetyo, Diaz Agil Purnomo, Lorio Raditya Dinatha, I Made Dwipa Rahmatika, Rizka Astari Richardo, Nicko Saputra , Muhammad Reynaldi Dwi Sarkozy, Ferdiansyah Saville, Ramadhona Selviana Senalia Devi, Ni Putu Balina Shimoguchi , Nina N. Siti Jahroh Stefanus Rumangkit Sulistyono, Nailah Putri Syaukat, Fadhilla Izzaty Tanjaya, Edmund Tyan Tanwiputra, Kevin Wibawa, Rafki Chandra Wijaya, Leonardo Alexander Wijaya, Matthew Yonata, Oktavianus Kimmy