Hubbi Nashrullah Muhammad
School Of Pharmacy, Institut Teknologi Bandung, Bandung, Indonesia

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Kajian Pustaka 27 Tanaman Indonesia dengan Aktivitas Antihipertensi Raras Adinindya Putri; Elin Yulinah Sukandar; Hubbi Nashrullah Muhammad
Acta Pharmaceutica Indonesia Vol. 46 No. 2 (2021)
Publisher : School of Pharmacy Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/api.v46i2.16952

Abstract

Kasus hipertensi di Indonesia selalu meningkat setiap tahunnya. Berdasarkan data Riset Kesehatan Dasar (Riskesdas) tahun 2018, sebanyak 34,11% penduduk Indonesia berusia >18 tahun mengalami hipertensi. Obat anti hipertensi digunakan dalam jangka waktu lama, bahkan seumur hidup, dan efek sampingnya tidak sedikit. Kajian pustaka mengenai efek antihipertensi dari 27 tanaman Indonesia telah dilakukan dengan mengumpulkan data ScienceDirect (sciencedirect.com), PubMed (pubmed.ncbi.nlm.nih.gov), dan Google Scholar (scholar.google.com), serta buku Cabe Puyang: Warisan Nenek Moyang Edisi I. Pustaka menunjukkan banyak tumbuhan yang digunakan secara empiris oleh masyarakat. Sebagian tumbuhan tersebut telah melalui uji praklinis dan uji klinis. Tanaman yang berkhasiat antihipertensi secara empiris berjumlah 27 dan yang tidak ditemukan baik data uji praklinis maupun data uji klinisnya adalah tanaman buni (Antidesma bunius Spreng), trengguli (Cassia fistula Linn), lobi-lobi (Flacourtia inermis Roxb.), ranti (Solanum nigrum Linn), pulai (Alstonia spectabilis R. Br), dan srigading (Nyctanthes arbor-tristis L.). Keenam tanaman tersebut berpeluang untuk diteliti khasiat antihipertensi dan keamanannya.  
MALLOW APPS: Aplikasi Berbasis Android untuk Pencegahan dan Monitoring Gangguan Depresi Pratiwi Wikaningtyas; Hubbi Nashrullah Muhammad; Dhyan Kusuma Ayuningtyas; Spoudy Lucianus; Maria Ines Wibowo
Warta Pengabdian Andalas Vol 30 No 3 (2023)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jwa.30.3.451-460.2023

Abstract

Depression is often defined as a mental condition characterized by severe despondency and dejection, typically also with feelings of inadequacy and guilt, often accompanied by a lack of energy and disturbance of appetite and sleep. Its mortality rate is 800 thousand deaths worldwide. This project aims to make a gamified Android-based application to prevent and treat depression titled Mallow apps. The stages of this project were planning, designing, prototyping, usability testing and satisfaction, and publishing. Figma was the primary tool used for designing and prototyping. The prototype’s functionality was measured by success rate and ease of use. User satisfaction was measured by using a SERVQUAL-based questionnaire. Mallow has several features: medication and appointment reminders, drug information, depression self-test, education specifying depression, and a mood board, a collage art therapy. The functionality test showed a success rate of 88.9% and an easiness rating of 4.4 on a scale of one to five in the latest Mallow version. The satisfaction evaluation showed an expectation score of 4.63 and a perception score of 4.42 on a scale from 1 to 5. It is possible to use Mallow Apps for widespread.
Chatbot Menjadi Nutriosionis; Mengexplor Potensi AI untuk Meningkatkan Konsultasi Nutrisi di Indonesia Nur Aulia, Elsa Silvia; Jati, Gumawang; Wibowo, Indra; Muhammad, Hubbi Nashrullah; Saepudin, Epin
Jurnal Sosioteknologi Vol. 23 No. 3 (2024): NOVEMBER 2024
Publisher : Fakultas Seni Rupa dan Desain ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/sostek.itbj.2024.23.3.2

Abstract

Stunting, a significant public health issue in Indonesia, adversely affects both child development and the country's economic well-being. This study investigates how AI- powered chatbots could enhance dietary advice and lower Indonesia's stunting rates. Owing to the restricted availability of certified nutritionists and the pervasiveness of mobile devices, chatbots present a scalable and convenient means of providing customized dietary advice. To properly study this topic and provide a comprehensive understanding of the situation, this study employs a quantitative approach using surveys and statistical analysis. The results suggest that chatbots driven by AI have the potential to resolve nutritional counseling issues in Indonesia; 80% of participants have prior experience utilizing chatbots. However, user needs, cultural context, and technology constraints must all be carefully considered for successful implementation. These findings indicate that implementing AI-powered chatbots is a promising strategy to significantly reduce stunting rates in Indonesian children in the process. Future research should concentrate on the development and evaluation of culturally appropriate andevidence-based chatbot interventions for potential use.