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Contact Name
Fahmi Hafid
Contact Email
poltekita@gmail.com
Phone
+6285255530999
Journal Mail Official
poltekita@gmail.com
Editorial Address
Jl. Thalua Konchi, Mamboro, Palu Utara, Kota Palu, Sulawesi Tengah 94145
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Kota palu,
Sulawesi tengah
INDONESIA
Poltekita : Jurnal Ilmu Kesehatan
ISSN : 1907459X     EISSN : 25277170     DOI : https://doi.org/10.33860
Core Subject : Health, Science,
Poltekita : Jurnal Ilmu Kesehatan (e-ISSN: 2527-7170, p-ISSN: 1907-459X) is a peer-reviewed open access scientific journal published by Poltekkes Kemenkes Palu. The scope for Poltekita: Jurnal Ilmu Kesehatan includes nutrition, midwifery, nursing, public health, environmental health, food, and nutrition.Each volume of Poltekita: Jurnal Ilmu Kesehatan is counted in each calendar year that consists of 4 issues. Poltekita: Jurnal Ilmu Kesehatan is published two times per year every February, May, August, and November. Articles could be written in either Bahasa Indonesia or English
Articles 516 Documents
Predictor of Postpartum Depression: Literature Review Lestari, Indah; Saudah, Noer; Rofi’ah, Ika Ainur; Nugroho, Heru Santoso Wahito
Poltekita : Jurnal Ilmu Kesehatan Vol. 17 No. 3 (2023): November
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jik.v17i3.3350

Abstract

The incidence of postpartum depression is quite high. The largest percentage occurs when they have their first child, and have a family history of mood disorders. The incidence of postpartum depression is 50 - 60% in mothers when they have their first child, and around 20% in mothers who give birth to subsequent children. This study aims at reviewing and synthesizing the determinants factor of depression among adolescent in rural area. This study design was a systematic review using the PICO framework. This data was carried out from various journal databases 2012-2022, including Scopus, ScienceDirect, PubMed. 16 articles meet the inclusion criteria and meet the qualifications for review. A systematic procedure is used to collect articles, as well as a critical appraisal and data synthesis with qualitative synthesis. The analysis of the literature review found that aspects of findings related to predictors of postpartum depression are as follows: socio-demographic factors (age, socio-economic status, education, risk age group), maternal factors (pregnancy spacing, parity, pregnancy condition, birth experience, postpartum complications), biological factors (hypothalamus function, prolactin, CRH, inflammatory process), psychosocial factors (negative mood, anxiety, unpreparedness, history of depression), cultural factors (children care stress, wisdom), support system (support husband, family support, decision-making patterns). Healthcare professionals should be aware of this phenomenon and strategies such as primary, secondary, and tertiary prevention interventions may be applied. Women should be screened for potential risk factors and depressive symptoms during pregnancy and postpartum periods so that appropriate interventions if needed, can be initiated in a timely fashion.
Formulation, Dosage, and Exposure Time of Natural Substances in Controlling Aedes aegypti Larvae Ahyanti, Mei; Yushananta, Prayudhy
Poltekita : Jurnal Ilmu Kesehatan Vol. 17 No. 3 (2023): November
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jik.v17i3.3353

Abstract

The incidence of vector-borne diseases in Indonesia, particularly Dengue Hemorrhagic Fever (DHF), continues to escalate. This surge correlates with climate change, the extreme transition from hot to rainy seasons. The use of synthetic chemicals for control measures can also poses environmental risks; hence, there is a necessity to explore natural control methods by harnessing the biodiversity of plant species within the environment. This research aims to assess the effectiveness of botanical extract mixture on the mortality of Aedes aegypti larvae.  Method: This study utilizes an experimental design with a complete factorial random arrangement, which aimed at elucidating the effectiveness of plant extract as a bio-larvacide against Aedes aegypti mosquitoes. The effectiveness is measured through larval mortality rates based on a formulated equation, with dosage and exposure time as the research variables. The research was conducted in the Environmental Health Departement Laboratory at Health Polytechnic of Tanjungkarang from March to July 2023. The observational sheet serves as the instrument The collected data are processed and analysed using ANOVA to discern variations in larva mortality based on the formula, linear regression is applied to explore the influence of dosage and exposure time on larva mortality. Result: The result of this study exhibits that the most efficacious formulations to terminate larvaes  were determined to be the 9th, 10th, and 11th formulations.  Furthermore, an extended exposure time correlates with the escalating rate of larval demise. The statistical model prosperously accounts for 88,59% of the variability in the response pertaining to Aedes larval mortality.  Conclusion: This study discerns that individually, the formula, dosage, and exposure time, also demonstrates an impact on larval death. This study unveils that an insecticidal formula derived from soursop leaves yields a higher mortality effect compared to formulations based on other materials.
The Effect of Progressive Muscle Relaxation Exercises on the Sleep Quality of Menapause Women in the Kolaka Health Center Work Area Naim, Rosani; Mariany, Mariany; Saputri, Ekawati; Afrianty, Iis
Poltekita : Jurnal Ilmu Kesehatan Vol. 17 No. 3 (2023): November
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jik.v17i3.3354

Abstract

Menopause is the final phase of a woman's reproduction or it is said that the last menstruation experienced by a woman has a psychological impact, especially sleep disorders.. Four of five women who were surveyed stated that their sleep was often disturbed, especially when it was difficult to fall asleep and woke up feeling it was the middle of the night so they complained of blisters in the morning because the duration of sleep at night was around 4 o'clock. The purpose of this study was to analyze the quality of sleep of mothers before and after carrying out progressive muscle relaxation exercises. Quasy Experiment Method in one group pre test-post test design is the method used with a sample of 30 respondents. The quality of sleep before exercise and after exercise progressive muscle relaxation was measured using a questionnaire. Provision of progressive muscle relaxation exercises in accordance with Standard Operating Procedures (SOP). There were significant differences in the quality of sleep of mothers before and after progressive muscle relaxation exercises on sleep quality of postmenopausal women, namely sleep quality (p value 0.000), sleep latency (p value 0.000), efficiency (p value 0.000), sleep disturbance (p value 0.000), sleep disturbance (p value 0.000), value 0.001), and disturbed activity (0.005). Postmenopausal women's sleep quality improves after doing progressive muscle relaxation exercises is effective. It can be said that the application of progressive muscle relaxation exercises in menopausal women is very good so that the quality of sleep for menopausal women is of high quality.
Digital Variation of Machine Learning Through Basic Diagnostic Test Application Approach: an Integrative Literature Review Sanatang, Sanatang; Ismail, Muhammad Aqmal
Poltekita : Jurnal Ilmu Kesehatan Vol. 17 No. 3 (2023): November
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jik.v17i3.3355

Abstract

Electronic Medical Records (EMRs) are digital applications of machine learning models that function to receive and store clinical data related to medical information for the purposes of basic clinical diagnostic tests. The integrative review aims to provide a synthesis of new findings from several articles on EMRs for the early detection of basic clinical diagnoses with a variety of existing populations. Using four databases, we reviewed 11 articles. All authors involved review abstracts and full text according to predetermined criteria. The selected articles are then integrated into the publication quality assessment matrix, further included in machine learning algorithms for diagnostic determination of the disease. Reviewed articles are excluded in the form of artificial intelligence. The PRISMA flowchart identified 1962 articles and the final selection found 11 articles. Circulating system networks dominate machine learning models (66.6%). The study netted an average population of 490.5 and the artificial intelligence system managed to detect 9 body systems from different body systems.  A total of 11 articles were selected, more than half of which were  Caucasian (80.90%) and white (72.95%), but only 1 article was represented by Caucasian ethnicity, while white race was almost in every article. African-American and Black racial groups were in the middle position at 29.95% and 17.50%. The racial representation with the least percentage below  10% was  Hispanic and Asian (6.10% and 2.17%). This machine learning has proven to be very accurate for detecting disease diagnoses in  hospital, other health clinics. Therefore, the further development of this application for the purpose of establishing clinical diagnosis precisely and accurately.
Effectiveness of Composter with Magic Compos System Forward Reverse Design Through Temperature and Humidity Control on Composing Quality Amaliyah, Nurul; Anwar, Taufik; Wardoyo, Slamet
Poltekita : Jurnal Ilmu Kesehatan Vol. 17 No. 3 (2023): November
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jik.v17i3.3359

Abstract

Household waste management is an important concern in an effort to reduce the potential negative impact on public health due to organic waste generation. This study aims to analyze differences in compost maturation rates based on variations in the time interval of the turning process in Magic Compost, differences in compost maturation rates based on the type of organic waste, differences in C/N ratio, carbon content, and moisture content in compost, differences in nitrogen, phosphorus, and potassium levels in compost, and differences in temperature, pH, and color in compost based on household organic waste criteria. This research uses an experimental approach with a posttest without a control group design and applies a randomized complete group design (RAKL). The tool used is Magic Compost, which is equipped with a temperature and humidity controller. The results showed a significant difference in the rate of compost maturation based on the time interval variation of the turning process on Magic Compost (p value = 0.000). The best turning time interval is 12 hours. There was a difference in the rate of compost maturation based on the type of organic waste generated by households, with mixed waste compost maturing the fastest and rice/starch waste maturing the slowest (p value = 0.001). While there was no difference in the C/N ratio (p value = 0.202), there were significant differences in the carbon content and moisture content of the compost based on the type of organic waste (p values = 0.042 and 0.000). However, there was no difference in the nitrogen and phosphorus content of the compost (p value = 0.144 and p value = 0.663). There was a difference in potassium levels in the compost based on the type of organic waste (p value = 0.000). The temperature of the resulting compost showed no significant difference (p value = 0.000), but there were differences in the pH and color of the compost based on household organic waste criteria (p values = 0.048 and 0.007). This study provides important insights into organic waste management through composting with Magic Compost, which can be an effective solution for reducing the negative public health and environmental impacts caused by organic waste generation.
Serodiagnosis Profiling of Anti SARS-CoV-2 Among Blood Donor Surabaya Indonesia Woelansari, Evy Diah; Sasongkowati, Retno; Christiyaningsih, Juliana
Poltekita : Jurnal Ilmu Kesehatan Vol. 17 No. 4 (2024): February
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jik.v17i4.3367

Abstract

SARS-CoV-2 antibody detection is used as a response to natural infection and vaccination. Antibody response is very important in viral seroepidemiology and the potential role of antibodies in disease. This study was to determine serodiagnosis anti SARS-CoV-2 among blood donor Surabaya detect antibodies with protein molecular weight as serodiagnosis and immune response to SARS-CoV-2 in donors in Surabaya. The research used in this study was exploratory descriptive design. Samples from blood donors as many as 150 samples at UTD PMI Surabaya. The examination was carried out by detecting IgG SARS-CoV-2 antibodies ELISA method and followed by protein molecular weight examination SDS-PAGE method (semi-log The results of the ELISA method antibody examination showed that 67 people had IgG antibody titers against SARS-CoV2 (44.7%) and 83 people were negative (55.3%) (COI: 0.1535-0.1569). Furthermore, the results of the SDS- PAGE method examination obtained the average molecular weight in band 1: 49.73 kDA, band 2: 25.26 kDA; band 3: 19.63.4 kDA; band 4: 12.35 kDA and band 5: 7.33 kDA. There were IgG antibody of SARS CoV-2 in blood donor Surabaya meanwhile from protein screening results we could not find protein of spike SARS-CoV-2 in Blood donor Surabaya.
Covid-19 Non-natural Disaster Mitigation: A Literature Review Faisal, T. Iskandar; Khaira, Nuswatul; Magfirah, Magfirah; Veri, Nora
Poltekita : Jurnal Ilmu Kesehatan Vol. 17 No. 4 (2024): February
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jik.v17i4.3369

Abstract

Non-natural disasters are defined as types of disasters that occur due to non-natural causes, including technological failure, modernization failure, epidemics, and disease outbreak. One type of non-natural disaster that occurs in society is the Covid-19 pandemic. There is a need for disaster mitigation due to Covid-19 to minimize the risk of impacts that will or have occurred. This article was prepared to find out the diversity of disaster mitigation that has been implemented all this time. The research method used is literature study or a type of academic survey research where data is obtained from government website reports, expert studies, scientific literature, and research institute studies. This review describes disaster mitigation methods that have been implemented by individuals, schools, communities, hospitals, and governments to minimize the impact of the Covid-19 pandemic. There is cooperation between individuals, communities, and the government in realizing the fruitful implementation of non-natural disaster mitigation, especially COVID-19. Policies that are not on target and do not focus on handling the Covid-19 pandemic will not be able to minimize deaths from Covid-19, and the socio-economic impact of the spread of the virus will be massive and serious.
Dietary Regulation As A Factor Predicting Quality of Life in Diabetic Peripheral Neuropathy Patients Ritonga, Sukhri Herianto; Decroli, Eva; Prahastuti, Brian Sri; Usman, Elly; Mudjiran, Mudjiran; Bachtiar, Adang; Afriwardi, Afriwardi; Yetti, Husna
Poltekita : Jurnal Ilmu Kesehatan Vol. 17 No. 3 (2023): November
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jik.v17i3.3376

Abstract

Diabetic peripheral neuropathy is a complication of diabetes mellitus with the number of sufferers continuing to increase from time to time. A decrease in quality of life occurs as this disease progresses, both in physical, mental, and social aspects. Controlling risk factors for declining quality of life needs to be done early, one of the risk factors for declining quality of life is diet. The aim of this research is to analyze dietary regulation as a predictive factor for quality of life in diabetic peripheral neuropathy sufferers. The type of research used is quantitative research with a cross-sectional approach. The respondents in the study were 210 diabetic peripheral neuropathy sufferers who were selected using consecutive sampling techniques. Data collection uses a questionnaire that meets the existing validity and reliability criteria. The data analysis used in this research is SEM PLS analysis. The results show that dietary regulation has a positive influence on quality of life (r=0.236, p=0.0001). Dietary regulation has an effect size on quality of life (f square = 0.095) and also has the ability to predict quality of life well (Q square = 0.232). Dietary regulation is also feasible and suitable in explaining interactions between variables (NFI = 0.540; SRMR = 0.99). The conclusion is dietary regulation can be a good predictive factor for quality of life, so that by improving the diet of diabetic peripheral neuropathy sufferers it will be possible to improve their quality of life.
Effectiveness of the Sensitive Nutrition Intervention Program in Accelerating Stunting Reduction in Baubau City Andriani, Rininta; Islamy, La Ode Syaiful
Poltekita : Jurnal Ilmu Kesehatan Vol. 17 No. 3 (2023): November
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jik.v17i3.3377

Abstract

Stunting is a condition of failure to thrive in toddlers due to long-term malnutrition, exposure to repeated infections, and lack of stimulation. Not all short toddlers are stunted, so pediatricians need to differentiate them, but stunted children are scarce. Responding to this problem, the government issued Presidential Regulation (Perpres) Number 72 of 2021 concerning the Acceleration of Reducing Stunting. This regulation is a form of the government's commitment to accelerating the achievement of the stunting reduction target to 14 percent by 2024. This research aims to describe the effectiveness of a sensitive nutrition intervention program to accelerate stunting reduction in Baubau City, focusing on the accuracy of program targets and program outreach. The research used a qualitative design with a phenomenological approach. Data was collected through in-depth interviews with six informants, while secondary data came from related regional government organization (OPD) data. The data was then analyzed in several stages: data collection, reduction, presentation, and conclusion drawing. The research results show that based on indicators of the accuracy of program targets and program outreach in sensitive nutrition intervention programs, the acceleration of stunting reduction in Baubau City has been running effectively even though it has not significantly contributed to reducing the stunting prevalence rate. The decline in the stunting prevalence rate of only 1% shows that the accuracy of program targets still needs to be improved. Access to drinking water and sanitation, community recipients of PKH benefits, and the formation of farming community groups in the future must be several things that need to be maximized to achieve an accelerated reduction in stunting in Baubau City. In conclusion, the consistency of policy implementers must be bound by a shared commitment and shared goals and understanding in efforts to reduce the prevalence of stunting.
“ATemp”, A Tempe-based product with High Nutritional Value and Low Glycemic Index (Alternative Plant-Based Protein Sources for Diabetic Patients) Rumahorbo, Hotma; Saleky, Yohannes Willihelm; Lucas, Jedya; Herdianta, Dhimas
Poltekita : Jurnal Ilmu Kesehatan Vol. 17 No. 4 (2024): February
Publisher : Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/jik.v17i4.3379

Abstract

Diabetes Mellitus (DM) is a metabolic endocrine disease with the identical symptom of hyperglycemia. One of the main pillars in DM management is nutrition therapy through limiting the intake of carbohydrates and high simple sugar (monosaccharides). The availability of foods with low glucose levels has become one of the crucial needs of DM patients in controlling blood glucose levels. Tempeh is a soy-fermented local food that has been known widely by Indonesian Society. Tempeh-based food products with high nutritional value and low sugar are still scarcely found in society. Thus, this research aims to develop a tempeh-based product with high nutrition value (protein), low Glycemic Index (GI) level and adequate fibre content. Research and Development Design method was used in this research with the selecting, sorting and processing done with respecting the standard of food processing. The yield product was tested on 40 panellists for organoleptic tests, analyzed in the laboratory to measure the nutrient content, and calculated for glycemic index. The results show that “ATemp” (a tempeh floss) has a result of organoleptic test with the panellist who stated like and very like for colour of the product 65%, for the aroma 67,5%, for the texture 58% and for the taste of the product 50%. Laboratory analysis has shown that 100 g of ATemp contains 23 g of fat, 19 g of protein, 45 g of carbohydrate, 1 g of sugar, 257 mg of sodium, 12 g of fibre and 465 kcal of total energy. The result of GI test shows that Atemp has a GI level of 12 (low) and GL level of 2,7 (low). ATempt has a high potential to be an alternative food for diabetes or for those who are doing low-sugar diet.