Article Per Year (5 Year)
p-Index From 2021 - 2026
1.873
P-Index
This Author published in this journals
All Journal Lantanida Journal JURNAL GALUNG TROPIKA Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal PTK dan Pendidikan Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Journal of Information Systems for Public Health Kumpulan Artikel Pendidikan Anak Bangsa : Journal Pendidikan, Sosial dan Humaniora International Journal of Health, Engineering and Technology Jurnal Pengabdian Masyarakat dan Riset Pendidikan JURNAL MULTIDISIPLIN ILMU AKADEMIK Prosiding Seminar Nasional Fakultas Tarbiyah dan Ilmu Keguruan UIAD PESHUM Journal of Studies in Academic, Humanities, Research, and Innovation
Nurul Mutmainnah
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Pemanfaatan Deep Learning untuk Mewujudkan Interaksi Digital yang Bermakna Rifqatussa Diyah; Fauziah; Nurul Mutmainnah; Harmilawati
Prosiding Seminar Nasional Fakultas Tarbiyah dan Ilmu Keguruan IAIM Sinjai Vol 4 (2025): Volume 4 Tahun 2025
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan (FTIK) Institut Agama Islam Muhammadiyah Sinjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47435/sentikjar.v4i0.4106

Abstract

Penelitian ini bertujuan untuk mengkaji pemanfaatan teknologi deep learning dalam menciptakan interaksi digital yang bermakna melalui pendekatan kajian pustaka secara komprehensif. Seiring berkembangnya platform digital sebagai pusat aktivitas manusia, kebutuhan akan interaksi yang personal, adaptif, dan empatik menjadi semakin penting. Dengan pendekatan deskriptif kualitatif, penelitian ini menganalisis 20 publikasi ilmiah relevan yang terbit antara tahun 2015 hingga 2025, yang membahas penerapan deep learning dalam empat domain utama: Natural Language Processing (NLP), Computer Vision, Recommendation Systems, dan Affective Computing. Hasil kajian menunjukkan bahwa model seperti BERT, GPT, CNN, dan pendekatan multimodal memungkinkan sistem digital memahami perilaku, maksud, serta emosi pengguna. Teknologi tersebut secara signifikan meningkatkan kualitas interaksi melalui respons yang kontekstual, personal, dan peka emosi. Penelitian ini menyimpulkan bahwa deep learning tidak hanya meningkatkan performa sistem, tetapi juga menjadi fondasi dalam pengembangan sistem digital yang lebih manusiawi dan bermakna.
Analysis of the Impact of Macroeconomic Inflation on the Profitability Performance of PT Vale Indonesia Tbk: An Empirical Regression Approach for the 2018-2023 Period Fakhirah Husain; Nurul Mutmainnah; Andre Rachmansyah Putra Tira; Fera Anastasya; Putri Nur Ramadhani
Journal of Studies in Academic, Humanities, Research, and Innovation Vol. 2 No. 2 (2025): December 2025
Publisher : Ponpes As-Salafiyyah Asy-Syafi'iyyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71305/sahri.v2i2.907

Abstract

This study aims to examine and analyze the influence of macroeconomic inflation on the profitability performance of PT Vale Indonesia Tbk during the 2018–2023 period. Profitability is a key indicator of a company’s financial health, and understanding how it responds to macroeconomic fluctuations is essential, particularly in the mining industry, which is highly sensitive to global and domestic economic conditions. This research employs a quantitative approach using simple linear regression analysis, supported by secondary data consisting of company financial statements and annual inflation data retrieved from the Central Statistics Agency (BPS) and Bank Indonesia. Several classical assumption tests were conducted, including normality, autocorrelation, and multicollinearity tests. The results show that the data are normally distributed and free from multicollinearity; however, the model exhibits positive autocorrelation, indicating that the residuals are not fully independent across time. The regression analysis reveals that inflation has a negative influence on the company’s profitability, measured by Return on Assets (ROA). Nevertheless, this relationship is not statistically significant, as reflected by a significance value of 0.677 (> 0.05). Furthermore, the coefficient of determination (R²) of 0.066 and an adjusted R² of -0.245 indicate that inflation explains only 6.6% of the variation in ROA, while the remaining 93.4% is influenced by other internal and external variables not included in this model. Overall, the findings suggest that inflation does not have a significant impact on the profitability of PT Vale Indonesia Tbk during the study period, implying that the company’s financial performance may be more strongly affected by operational efficiency, commodity prices, production volume, and other macroeconomic indicators beyond inflation.
DEVELOPMENT OF A SCIENCE E-MODULE INTEGRATING THE LOCAL POTENTIAL OF BANTIMURUNG NATIONAL PARK Nurul Mutmainnah; Lestari, Tri Kurniah; Abdulah, Abdulah; Bariyyah, Sitti Khairul
Jurnal PTK dan Pendidikan Vol. 11 No. 02 (2025): Juli - Desember
Publisher : Fakultas Tarbiyah dan Keguruan Universitas Islam Negeri Antasari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18592/ptk.v11i02.20053

Abstract

Abstract Science education in elementary schools requires teaching materials that not only contain concepts but also connect the material to the real environment of the students. This study aims to develop a science e-module based on the local potential of Bantimurung National Park's natural attractions as teaching materials to support science learning in line with the Merdeka Curriculum. The study used the Research and Development (R&D) method with a 4-D development model, which includes the define, design, develop, and disseminate stages, with limitations on limited trials. The research subjects involved subject matter experts, media experts, classroom teachers, and 15 fifth-grade elementary school students. Data were collected through interviews and questionnaires, then analyzed descriptively by converting the scores into qualitative categories. The results showed that the developed science e-module received a very feasible rating from subject matter experts and media experts, and was considered practical and easy to understand by teachers and students. The integration of local potential in conservation areas makes science learning more contextual and relevant to the learning experiences of students. Therefore, the science e-module based on the local potential of Bantimurung National Park is suitable for use as teaching material to support science learning in elementary schools. Keywords: Science e-module, local potential, Merdeka Curriculum, science learning, elementary school
The Relationship Between Family Support And Self-Motivation And Medication Adherence In Hypertensive Patients At The Pallangga Community Health Center In Gowa Regency Nurul Mutmainnah; Deliaty Bagenda Ali; Iismayanti Iismayanti
International Journal of Health Engineering and Technology Vol. 4 No. 6 (2026): IJHET MARCH 2026
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v4i6.693

Abstract

Hypertension is a global health problem with an increasing number of sufferers. The success of hypertension management is largely determined by patient compliance in taking medication, but noncompliance remains a common obstacle. This condition leads to suboptimal blood pressure control and increases the risk of cardiovascular complications. This study aims to determine whether there is a significant relationship between family support and self-motivation on medication adherence in hypertensive patients. This study is a quantitative study with a cross-sectional approach. The sample in this study consisted of 67 respondents, and the study was conducted at the Pallangga Community Health Center. Data collection was carried out using questionnaires on family support, self-motivation, and medication adherence. After conducting a statistical test using the Chi-Square test, the results showed that there was a significant relationship between family support and medication adherence in hypertensive patients at the Pallangga Community Health Center in Gowa Regency, with a p-value of 0.014 (< 0.05). There was also a significant relationship between self-motivation and medication adherence among hypertensive patients at the Pallangga Community Health Center in Gowa Regency, with a p-value of 0.023 (< 0.05). Family support and self-motivation are significantly related to medication adherence among hypertensive patients at the Pallangga Community Health Center in Gowa Regency. Adequate family support and high self-motivation have been proven to increase patient consistency in undergoing treatment. Thus, these two factors need to be considered in efforts to improve adherence to hypertension treatment.
Co-Authors Abdulah, Abdulah Adrias Adrias Agus Ismail Aissy Putri Zulkarnaini Andre Rachmansyah Putra Tira Bahri Bahri Bariyyah, Sitti Khairul Deliaty Bagenda Ali Fachry Abda El Rahman Faidar Fakhirah Husain Fauzia Nur Fauziah Fera Anastasya Fitri Indah Yani HARMILAWATI Hutamy, Ericha Tiara Iismayanti Iismayanti Junet Johana Tary Lestari, Tri Kurniah Muh. Yusri Karim Muhammad Janwar Muhammad Qaddafi Muhammad Rasyid Ridha Nurlinda Putri Nur Ramadhani Rezky Awalia Amanda Rifqatussa Diyah Sahabuddin Sari, Rasidah Wahyuni Sitti Chadijah Ummu Kaltsum SC Yusdalifa Ekayanti Yunus Zulfiani