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All Journal Katalogis JSFK (Jurnal Sains Farmasi & Klinis) Journal of Scientific Insights SAMBARA: Jurnal Pengabdian Kepada Masyarakat
Siti Fatmah, Siti
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Religion Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Education Engineering Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Public Health Social Sciences Other

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ANALISIS KINERJA GURU SMK ALKHAIRAAT PARIGI KECAMATAN PARIGI KABUPATEN PARIGI MOUTONG Fatmah, Siti
Katalogis Vol 3, No 2 (2015)
Publisher : Katalogis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (141.356 KB)

Abstract

The purpose of this study is to reveal and describe the performance of teachers of SMK Alkhairaat Parigi who studied based on the theory of Stephan Robbin using three concepts / factors: 1) knowledge (knowing to do) focuses on the knowledge of a teacher in carrying out his duties as an educator, 2) skills (the ability to do) focuses on the skills of a teacher in designing a learning so interesting and not boring, to him it must have good skills when they wanted to teach, and 3) motivation (motivation to do) focuses on teacher motivation in their activities in school or while teaching in the classroom. Motivation is the internal motivation and external motivation. This type of research is qualitative research with selected informants making 5 people (the foundation, principals, supervisors, teachers and students of SMK Alkhairaat Parigi. The results showed that the performance of teachers smk Alkhairaat Parigi can already be said to be good, although with all the limitations of human resources in terms of quantity, but the quality is good enough. They also suggest the need for a comprehensive understanding of the performance improvement of teachers especially productive field.
Optimalisasi Penanganan Emesis Gravidarum pada Kehamilan Trimester I melalui Edukasi dan Terapi Nonfarmakologis di Dusun Ceret, Desa Mantang, Kec. Batukliang Fatmah, Siti; Ningsih, Nining Fatria; Wahyuni, Ervin Dini
SAMBARA: Jurnal Pengabdian Kepada Masyarakat Vol 3 No 1 (2025): Januari
Publisher : CV Putra Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58540/sambarapkm.v3i1.730

Abstract

Emesis gravidarum is a common condition in first-trimester pregnant women, characterized by nausea and vomiting due to hormonal changes, such as increased levels of estrogen and HCG. This condition can affect maternal and fetal health, potentially leading to dehydration, electrolyte imbalances, and even preterm birth. This study aims to optimize the management of emesis gravidarum through education and non-pharmacological therapy in Dusun Ceret, Desa Mantang, Kecamatan Batukliang, Lombok Tengah. The research employs a descriptive quantitative approach with purposive sampling, involving 20 first-trimester pregnant women. Interventions include small-group education sessions and non-pharmacological therapies such as relaxation techniques, acupressure, and dietary modifications. Data were collected through questionnaires and observations and analyzed descriptively and inferentially. The results showed an increase in participants' understanding from 60% to 80% and a reduction in the intensity of emesis gravidarum symptoms. This intervention proved effective in improving the quality of life for pregnant women and can serve as a guideline for healthcare providers in delivering community-based services. In conclusion, educational and non-pharmacological therapy approaches can effectively assist pregnant women in managing emesis gravidarum, supporting maternal and fetal health. 
Transforming the Diabetes Mellitus Diagnosis and Treatment Using Data Technology: Comprehensive Analysis of Deep Learning and Machine Learning Methodologies Anggriani, Dwi; Mustamin, Syaiful Bachri; Sahriani; Atnang, Muhammad; Fatmah, Siti; Mar, Nur Azaliah; Fajar, Nurhikmah
Journal of Scientific Insights Vol. 1 No. 1 (2024): June
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i1.71

Abstract

Recent research in health data analysis has transformed our understanding, prediction, and management of diabetes mellitus. This review explores various approaches used in related studies to enhance understanding and management strategies of diabetes through data analysis. Various data analysis methods, including machine learning such as neural networks, Gaussian Process Classification (GPC), and deep learning, have been used to enhance illness management and forecast accuracy. One of the included studies created customised care plans and used data to forecast the likelihood of complications in diabetes.. Another focused on comparative approaches for diabetes diagnosis using artificial intelligence, while others explored disease classification techniques using GPC algorithms. On the other hand, some studies utilized deep learning to identify diverse trajectories of type 2 diabetes from routine medical records, while others developed wide and deep learning models to predict diabetes onset. This review notes that data analysis approaches have significantly advanced accuracy in diagnosis, predictive modeling, and disease management of diabetes. Integrating these technologies allows for more personalized treatment approaches, where patient data can tailor individualized care strategies. Study findings indicate that machine learning and deep learning applications not only enhance prediction accuracy but also unlock new potentials in identifying risk factors, managing complications, and preventing diseases. Thus, this review provides profound insights into how data analysis has shifted paradigms in diabetes management, extending beyond diagnosis and treatment to encompass prevention and long-term management of chronic diseases. These studies lay a robust foundation for further research in developing more sophisticated and effective approaches in health data analysis, ultimately aiming to enhance the overall quality of life for patients with diabetes.
Research Techniques for IoT Use, Wearable Technology, and Smart Sensors in Mental Well-Being: A Literature Review from Several Studies Sahriani; Surahmawanti, Mita; Samsidar; Fatmah, Siti; Mustamin, Syaiful Bachri; Atnang, Muhammad; Fajar, Nurhikmah; Mar, Nur Azaliah
Journal of Scientific Insights Vol. 1 No. 1 (2024): June
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i1.72

Abstract

This study reviews the literature on the application of technology to wearables, smart sensors, and the Internet of Things (IoT) in the monitoring and treatment of mental health. Several studies analyzed employ systematic review, experimental, and literature survey approaches to explore various aspects of technology implementation in the context of mental health. The studies adopt a systematic review design without involving specific samples or measurement tools but highlight the application of IoT in mental health monitoring. Meanwhile, other studies conduct systematic reviews encompassing 41 studies utilizing smart devices and wearable technology in mental health monitoring, yet without specifying the software used. Another research proposes an experimental design to test a wearable sensor-based machine learning stress monitoring system. On the other hand, there are literature survey reports on the use of wearable sensors in mental health monitoring without providing details of the reviewed study methodologies. Other studies explore the literature using a scoping review method to gather information on mental health technology, identifying 37 relevant scientific articles. This review emphasizes the need for rigorous methodological approaches to effectively understand and apply technology in mental health monitoring and intervention. Overall, this literature review highlights the importance of developing technology that can enhance mental health monitoring and intervention. The application of IoT, wearable devices, and smart sensors can be a potential solution but requires a multidisciplinary approach and meticulous methodology to optimize their use in clinical practice
A Review on Growth Factors in Digital Start-ups: Digital Marketing, Scaling, Adaptation, Advanced Tech Fatmah, Siti; Samsidar; Atnang, Muhammad; Mustamin, Syaiful Bachri; Sahriani; Mar, Nur Azaliah; Fajar, Nurhikmah
Journal of Scientific Insights Vol. 1 No. 1 (2024): June
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v1i1.73

Abstract

Understanding MRBS (Massive and Rapid Business Scaling) is critical in the context of digital start-ups as it helps maximize the use of limited office space, better manage time, and support effective collaboration. This study aims to explore the concept of MRBS in the context of digital start-ups and identify the factors that drive the phenomenon. The focus of this study is on the significant increase in MRBS driven by recent advances in digitization, despite only about 3% of start-ups ever reaching a market valuation of $1 billion (USD) or more. Using an inductive qualitative research approach through 53 semi-structured interviews with start-up founders, executives, and advisors, this study seeks to fill the gap in previous literature that has not comprehensively explored the drivers of MRBS in the context of digital start-ups. The findings of this study reveal seven core drivers that contribute to the MRBS process, namely access to capital, product innovation, technology adoption, competent team, marketing strategy, networks and partnerships, and scale of operations. In addition, this study also identified several areas of tension that arise in the MRBS process, such as pressure for rapid growth, risk of failure, and challenges in maintaining corporate culture. Other related literature studies also explored the potential impact of extended digital marketing and its influence on the growth of startups. This research develops a macrodynamic framework that describes the drivers of startup growth supported by digital marketing and analyzes the differences in the use of B2B and B2C digital marketing, as well as the impact of new technologies on digital marketing. The results of these two studies are expected to provide researchers and practitioners with valuable insights into the MRBS phenomenon and the potential of digital marketing in supporting startup growth. Thus, this research contributes to understanding how start-ups can achieve large and rapid business scale in today's digital era.
Tingkat Pengetahuan Mahasiswa Tahun Pertama Bersama (TPB) tentang Penggunaan Antibiotik dalam Swamedikasi Fatmah, Siti; Aini, Siti Rahmatul; Pratama, iman Surya
JSFK (Jurnal Sains Farmasi & Klinis) Vol 6 No 3 (2019): J Sains Farm Klin 6(3), Desember 2019
Publisher : Fakultas Farmasi Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jsfk.6.3.200-205.2019

Abstract

Prevalensi penggunaan antibiotik dalam swamedikasi cukup tinggi di berbagai kalangan tak terkecuali mahasiswa. Penggunaan antibiotik dalam swamedikasi dapat meningkatkan resistensi antibiotik dan efek samping. Tingkat pengetahuan berpengaruh pada penggunaan  antibiotik dalam swamedikasi yang tepat dan bijak. Penelitian bertujuan untuk menggambarkan tingkat pengetahuan mahasiswa tentang penggunaan antibiotik dalam swamedikasi. Penelitian dilakukan pada bulan Maret-Juli 2018 di Unit Pelaksana Tahun Pertama Bersama Universitas Mataram menggunakan desain potong lintang. Sejumlah 400 sampel dipilih secara acak. Data karakteristik demografi dan tingkat pengetahuan diperoleh dari kuesioner yang sudah tervalidasi, kemudian dianalisis secara deskriptif. Dari 421 mahasiswal, 379 pernah menggunakan antibiotik yang terdiri dari  119 laki-laki dan 260 perempuan  dengan rata-rata usia 17-18 tahun.  Latar belakang mahasiswa sebagian besar berasal dari SMA. Hasil penelitian menunjukkan tingkat pengetahuan mahasiswa tergolong  tinggi (5,4%), sedang (63,1%), dan rendah (31,4%). Pengetahuan terkait kondisi dan dampak penggunaan antibiotik yang tidak tepat perlu diperbaiki. Tingkat pengetahuan responden tergolong sedang sehingga diperlukan peningkatan pemahaman penggunaan antibiotik yang tepat dan bijak.
Co-Authors Aini, Siti Rahmatul Anggriani, Dwi Atnang, Muhammad Fajar, Nurhikmah Mustamin, Syaiful Bachri Ningsih, Nining Fatria Nur Azaliah MAR, Nur Azaliah Pratama, Iman Surya Sahriani Samsidar Surahmawanti, Mita Wahyuni, Ervin Dini