Public Service Centers Research Articles

PREDICTING LAND USE CHANGES USING MARKOV CHAIN ANALYSIS AND HIERARCHICAL ANALYSIS OF PUBLIC SERVICE CENTERS IN BANDA ACEH CITY

The city of Banda Aceh, as the center of development in its region, is faced with a series of complex problems, one of which is the lack of optimal distribution of public service centers throughout the city. Banda Aceh City Central Statistics Agency (BPS) documents 2012-2022 and Banda Aceh City Spatial Plan (RTRW) documents 2009-2029 related to this research. Data in tabulated and descriptive form includes geographical conditions of the research area, land use area, types of facilities and their numbers, population, and distance between areas, and maps related to the research. This study aims to see land use conditions using the markov chain method and provide an overview of the public service center system of Banda Aceh City using the Scalogram method, centrality index, and gravity. Based on Markov chain analysis, land use predictions indicate that residential areas, offices and trade, tourism, worship, and sports facilities will continue to increase, while water bodies, green open spaces (RTH), and non-green open spaces (RTNH) will continue to decline. Predictions until 2039 show that conditions have begun to stabilize. Scalogram analysis takes into account hierarchy based on the type of facilities available, centrality index that calculates hierarchy based on many available facilities, and gravitational interaction that takes into account the strength of interaction between sub-districts shows that Kuta Alam District has the potential to become a major service center in Banda Aceh City. This sub-district has the most complete facilities, supported by the highest interaction value.

Activities of public service centers: problematic issues and ways to solve them

Activities of public service centers: problematic issues and ways to solve them

Ambient Air Quality Detection System Powered by Internet of Things-Based Sansevieria Plant (Case Study of Manduro Health Center)

Puskesmas Manduro is one of the public health service centers located at Jl. Raya Ngoro KM 14, Manduro MG Village, Ngoro District, Mojokerto Regency, East Java. As a basic health service center, it is important to monitor air quality and maintain air quality in accordance with the Environmental Quality Standard (SBMKL). This study aims to design an Internet of Things-based air quality detection system that utilizes Sansevieria plants as one of the natural solutions in absorbing air pollution levels. The method used is the research and development method which includes system design, tool making, website design, tool integration, and system testing. The sensors used are MQ-7 sensors for carbon monoxide gas, MQ-135 sensors for nitrogen dioxide gas, MQ-131 sensors for ozone gas, Dust GP2Y1010AU0F sensors for PM2.5, and DHT22 sensors for temperature and humidity. The results of testing the system for three days obtained the average temperature 30.64C, humidity 73.62%, CO 735.63 µg/m³. NO2 27.30 µg/m³, O3 32.13 30 µg/m³, and PM2.5 2.14 µg/m³. Based on the test results that have been carried out, it shows that the air quality monitoring system can provide data, graphs, and indicator levels for the Air Pollution Standard Index (ISPU). Air quality data obtained from sensors can be displayed on the LCD and also displayed in real-time through the website.

Development and Analysis of a Web-Based Management Information System for Dental Practices to Improve Healthcare Services

Introduction: A website-based management information system is needed in dental practices as a public service center that is required to work quickly, precisely, and accurately. The performance of dental practices becomes more optimal with a computerized management information system. Objectives: This study aimed to develop and analyze a web-based management information system for dental practices to improve healthcare services in Indonesia. Methods: This is an action research design conducted at an independent dental practice in Kudus, Indonesia. The research utilized the waterfall method, which started with requirements analysis, design, implementation, testing, and deployment, as well as maintenance. The analysis was carried out using two methods: Black-Box Testing and User Acceptance Testing (UAT). The UAT percentage results were categorized into 5 sections: 0%-20% very unsatisfied, 21%-40% unsatisfied, 41%-60% neutral, 61%-80% satisfied, and 81%-100% very satisfied. Results: Testing used the Black-Box Testing method on 17 menus, with results meeting the expected specifications and no errors detected during the testing. The User Acceptance Testing (UAT) indicated a 96% approval rate, which signified an excellent rating in users' assessment of the developed system. Conclusions: Based on the results of the study, a web-based electronic dental practice management information system was proposed to meet the needs of dentists.

Service quality, satisfaction, and intention to use Pourasava Digital Center in Bangladesh: The moderating effect of citizen participation.

This study describes how, as part of the administrative reform of Bangladesh, most of the urban local governments have set up some public service center like Pourasava Digital Center (PDC), where ICT (Information and Communication Technology) has been commonly applied to make e-services more convenient, efficient and transparent. The current study measures the Service Quality Satisfaction and Continuous Use Intention to use Pourasava Digital Center (PDC) in Bangladesh by adopting citizen participation as a moderator. Theoretically, this study has used the DeLone & McLean Information Systems (D&M IS) Success Model and Zhang's two-dimensional satisfaction model. However, most of the existing studies in Bangladesh are qualitative, and the relationship between service quality and citizen satisfaction has not been tested. A survey was conducted based on a structured questionnaire method and data collected from 332 respondents from 05 PDC and applying structural equation modelling in AMOS software while analyzing the data. The empirical results showed that the data fit the model. The finding of this study is that information quality affects specific satisfaction but not accumulative satisfaction, and specific satisfaction might not lead to accumulative satisfaction. One of the worthy findings of this study is that citizen satisfaction is highly dependent on system quality and service quality rather than information quality. The continuous use intention of the citizen is not based on specific satisfaction but significantly depends on accumulative satisfaction. To ensure the improvement of PDC's service quality, all dimensions related to the quality of service should be modified, and the administrative system and citizens should be encouraged to participate in all aspects of services.

Prototype Realtime Detection Of Abnormal Heart Beat Using Multiple Back Propagation Neural Network (BPNN)

Real-time heart rate monitoring and early detection of heart abnormalities are vital to determine heart health before it worsens. To achieve this goal, this project uses the backpropagation neural network (BPNN) method including its capability to classify heartbeats into normal or abnormal by inputting heartbeat values in BPM units derived from prototypes utilizing sensors like Sensor Easy Pulse and NodeMCU, along with considerations of age and sports activity. All data from sensors will be stored in Firebase. Then Firebase will connect to Android, and the normal and abnormal heart classification results will be displayed on the Android system. Simulation results successfully examined 40 people as a sample and provided information from real-time heart rate monitoring, age, and sports activity as input. This research seeks to contribute to improving health services at various public health service centers and independently in detecting heart health early.

Spatial Structure Analysis in Regional Development Context at Samosir Regency

Regional inequality or disparity is a natural consequence of development and an unavoidable stage. This happens because of differences in population, natural resource potential and geographical conditions in each region. This research aims to analyze public service centers, inter-district interactions, and settlement patterns in the context of regional development in Samosir Regency. The study uses a descriptive method with a quantitative approach to analyze the centers of public services, inter-district interactions, and settlement patterns among districts in Samosir Regency using the tools of centrality index analysis, gravity model, and nearest neighbor analysis. The analysis results show that the public service facilities in Samosir Regency in 2021 include 517 units of educational facilities, 442 units of healthcare facilities, 561 units of religious facilities, and 2,418 units of economic facilities, with the service center located in Pangururan District with a total availability of 1,081 units, which has the highest centrality value of 966.63. The largest inter-district interactions occur in Palipi District with a total interaction of 11,671,532.31, while the smallest interaction occurs in Simanindo District with a total interaction of 749,250.15. The settlement pattern in Samosir Regency consists of 1 district with a random settlement pattern and 8 other districts with clustered settlement patterns. In the development of Samosir Regency, the influence of district interactions, service centers, and settlement patterns are important factors to be considered.Keywords: District, Service Center, Interaction, Settlement Pattern

Spatial Development of Towns and Their Potential in Strengthening Rural-Urban Linkages in Kabupaten Semarang

Contemporary urbanization process in Indonesia has been entering a regional-based process, which is indicated by the expansion of existing cities and the emergence of small towns in hinterland areas. Semarang Regency is a nonurban district that become hinterland area that is affected by urban extension from Semarang City. The urbanization process in Semarang Regency is characterized by the emergence of towns as urban areas on the outskirts of. This research aims to analyze the development of towns in Semarang Regency using GIS assistance and analyzing their potential in strengthening rural-urban linkages. In addition to GIS method, this research employs descriptive qualitative method. Data collected through document and literature review, which is enriched by primary data collection through observation and interviews. The analysis used descriptive qualitative analysis. To strengthen the argument, analysis is assisted by using scalogram, ISM, LQ, and spatial analysis in the form of network analysis. There are many towns developed in Semarang Regency that tend to be concentrated in the north-west area, adjacent to Semarang City. The development of these towns is supported by the development of public service facilities. In addition to be the public service centers, the towns have potential roles as, processing and marketing centers. However, there is only one town, Bandungan, which has the roles as a center for marketing and public services. Therefore, the regency needs to have facilities development in many towns in order to strengthen the towns’ roles in strengthening rural-urban linkages in the region.

Analysis of Public Service Center Service Innovation in Gresik Regency as a Health and Emergency Service

In the realm of public service innovation, one significant government initiative is the establishment of Public Service Centers (PSCs). This qualitative-descriptive research is conducted at the Gresik PSC and the East Java Health Office. PSC 119 Gresik operates as an emergency service under the Health Office's jurisdiction, catering to the community's urgent needs. While the Gresik PSC has shown successful implementation, encompassing community outreach, emergency response tasks, and reporting to the Health Office, it faces challenges. Notably, the Gresik PSC receives only 70 calls, a figure deemed suboptimal compared to the local population. Hindrances include the non-readiness of call center workers during emergencies, inadequate community awareness about PSC, and reports still being directed to three different agencies. To enhance the efficiency of Gresik PSC, recommendations include training call center operators to enhance communication tools and skills, cross-sector collaboration, routine monitoring, and evaluation every 3-6 months on a unified application or report, and intensified community outreach through social and print media.

TINGKAT PENGETAHUAN MITRA DAN KELUARGA TENTANG KANKER SERVIK DAN PEMERIKSAAN PAP SMEAR SEBAGAI DETEKSI DINI (SKRINING) KARSINOMA SERVIK

Cervical cancer is one of the most common types of cancer suffered by women in developing countries, including Indonesia. This condition occurs due to lack of knowledge about prevention and detecting early symptoms of cervical cancer, especially in areas far from public health service centers. The purpose of this community partnership program is to help government programs to reduce the incidence of cervical cancer through counseling and interactive dialogue to increase the knowledge of partners and their families about cervical cancer and pap smears as screening for cervical cancer, which was carried out in the village of Gali Ukir Pupuan Tabanan, then carried out assisting partner family members in providing information about cervical cancer and pap smears to the surrounding community, as well as visits to monitor family members who are willing to carry out pap smears, and providing assistance in the form of pap smear examinations, giving antiseptics for the vagina, pocket books that can be used as guidelines for giving information about cervical cancer and its prevention, as well as providing a blender that can be used to make anti-septic from nearby plants and to make nutritious drinks to increase immunity. The results obtained are in the form of increased knowledge and changes in thinking patterns about cervical cancer and there are family members who do pap smear examinations.

Factors that Affect Performance of Clinical Breast Examination and Mammography Screening among Brazilian Women.

In the Brazilian health system, community health facilities consist of multidisciplinary teams that focus on family health, whereas health centers treat mainly illnesses of registered patients. In the present study we compared socio-economic factors and performance of mammography screening (MS) and clinical breast exam (CBE), respectively, among women who used both types of public health service centers. The present study included 180 women aged ≥40 years, who used different health service centers within the same municipal district. Of all 180 women, 110 (41.1%) and 70 (38.9%) used a health center and a community health facility. Logistic regression analysis was performed to calculate odds ratios (ORs) and confidence intervals (CIs) of variables. Regression modeling indicated that women who used the community health facility, performed annual MS 9.52 (OR= 0.105; 95%CI: 0.03- 0.36) times more often (p <0.001). In this model retirement and gynecological service use ≤ each second year, increased annual MS performance 8.16 (95%CI: 1.55- 54.32) and 7.78 (95%CI: 2.54- 23.79) times (p <0.001; p <0.001). Among 113 (62.8%) women who reported strong fear of MS, the chance of its performance was 35.71 (OR= 0.028; 95%CI: 0.02- 0.32) times decreased (p= 0.05). In a second model use of gynecological service ≤ each second year, increased chance of annual CBE performance 7.92 (95%CI: 3.25- 19.29) times (p <0.001). Women who used the community health facility performed annual and bi-annual CBE 2.90 (OR= 0.345; 95%CI: 0.14- 0.86) and 2.97 (OR= 0.337; 95%CI: 0.12- 0.92) times more often, compared to women who used the health center (p =0.030). Performance of MS and CBE varied both considerable among women who used different types of health service centers. Gynecological service use, fear and socioeconomic variables, additionally influenced regular performance of MS and CBE.

Analysis of Industry 4.0 Readiness among Regional Governments in Indonesia: The Worth of Digital Wisdom and Values in Public Services

This research aims to evaluate the readiness of regional governments to engage with the fourth Industrial Revolution (Industry 4.0), especially in e-service delivery. In the era of Industry 4.0, governments are increasingly considered public service centres that are evaluated for their ability to provide expanded services in the most efficient and individual ways. This research applied an eservice model survey by evaluating indicators of e-services about maturity values on a user-based website or mobile device applications. Assessments of e-service in three regional governments in Greater Malang reveal flaws in personnel readiness, user preparedness, flexibility in e-service procedures and requirements, integration among applications, lack of socialization, weak leader support and commitment, low budgets, and infrastructure constraints. Guided by these discoveries, unlike with theory, this study proclaims the importance of digital wisdom involving empathy, simplicity, compromise, creativity, and humility in public service. This study also formulates the digital values of political leadership transformation, public need-based digitalization, immediate resolution, changes in digital governance networks, digital wisdom, and interregional connectivity in public services. Finally, the study expands on the theory that governments can exceed preparedness by incorporating digital wisdom and values to drive public service.

A scoping review of maternal and neonatal health services impacted during COVID-19 in Nepal

Background Coronavirus Disease 2019 (COVID-19), a global pandemic, has resulted in millions of deaths worldwide and severely impacted health service delivery systems. Developing countries, including Nepal, faced the risk of health system failure due to limited infrastructures. During the pandemic, Nepal experienced a decline in medical service utilization by pregnant women and a decrease in national child immunization rates. Maternity services and child immunization services had significant consequences, serving as a warning for future pandemics. This article examines the effects of pandemic-induced stay-at-home policies on maternal and child immunization in Nepal. Methods A comprehensive literature search was conducted to identify relevant articles on PubMed, Scopus, and Google Scholar. The search terms employed were “maternal mortality in Nepal during COVID-19”, “maternity service utilisation in Nepal during COVID-19”, and “child immunisation in Nepal during COVID-19”. The search was limited to articles published between 2019 and 2022, research conducted in Nepal, and that included maternal mortality, utilisation of maternity services, and child immunisation in the title of the full text. Results Factors such as the closure of public transportation and service centres and fear of contamination contributed to a decline in antenatal care visits. The disruption of programs aimed at reducing the Maternal Mortality Rate (MMR) and decreased activities of Female Community Health workers in most parts of the country led to an increase in the maternal mortality rate during the stay-at-home policies. Institutional delivery decreased by 52.4% during the stay-at-home policies compared to the period before. The neonatal mortality rate increased from 13 to 40 per 1000 live births during the pandemic stay-at-home policies. Immunization centres were also closed in Nepal during the early stages of stay-at-home policies, with 50% of centres ceasing services. Measles outbreaks were reported in some parts of the country during the pandemic. Conclusions To mitigate future damage, specific guidelines should be established based on regional factors and infrastructure development. Measures such as providing protective equipment and maintaining communication with pregnant women via telephone can help reduce the impact of future pandemics.

Islamic Leadership dan Pelibatan Masyarakat Sebagai Faktor Terpenting Dalam Membangun Sistem Manajemen Mutu Masjid

&lt;p&gt;&lt;strong&gt;Quality Management is a management system used to maintain the best service quality, and the outcome is customer satisfaction and loyalty. As one of the public service centers, Mosques are a time to focus on implementing quality management to improve the best service for their worshippers. In Islamic history, the Prophet SAW has applied the fundamental basis of quality management, especially during the establishment and operation of the Prophet's mosque in Medina: Islamic leadership and community involvement. These two factors are currently crucial in building a quality management system. This study aims to map mosques' business processes (activities) to create a quality management system. The research method uses qualitative research design with a phenomenological approach, followed by descriptive historical-comparative method analysis. The study found findings of mosque leadership models, community involvement models, and conclusions of congregational behavior, cultural behavior, social behavior, personal behavior, and psychological behavior. Then there were also findings of issues findings from internal and external problems around the mosque, and the final part was the finding of expectations from mosque worshippers and how the mosque prepared a strategic strategy to respond to the expectations of the congregation; furthermore, the critical point of the results of this study was found a business map model of mosque processes (activities) which became the essential element to build a mosque quality management system.&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords –&lt;/em&gt; &lt;/strong&gt;Community Involvement, Context Organization and Business Process, Islamic Leadership, Quality Management.&lt;/p&gt;

ANALISIS KAPASITAS RUANG PARKIR DI PUSKESMAS LASI KECAMATAN CANDUNG KABUPATEN AGAM

Abstract : Parking facilities are an inseparable part of driving life. Parking facilities are quite a concern, especially when visiting places that are crowded with visitors such as public service centers, for example the Lasi Health Center. Puskesmas usually have a busy schedule of visitors at certain hours each day so that there are problems such as the absence of parking areas. To overcome this problem, it is necessary to identify the availability of parking areas at the Lasi Health Center by analyzing the characteristics and level of parking services at the Puskesmas, the analyzed characteristics such as parking volume, parking duration, parking accumulation, parking index, parking turnover rate, usage rate and parking capacity. From the results of research conducted for 6 days (11-16 July 2022) from 07.00-17.00 WIB and data processing, it can be concluded that: the largest incoming vehicles are 4 cars on Monday at 07.00 08.00 WIB and 24 motorcycles on Friday 07.00-08.00 WIB, the largest accumulation is 6 cars on Thursday and 19 motorbikes on Friday, the maximum parking duration is 2.6 hours for cars on Monday and the maximum parking duration is 3.01 hours for bicycles on Monday, the largest parking volume for cars is 12 vehicles on Wednesdays and motorbikes is 59 vehicles on Thursdays.Keywords: Parking Facilities, Availability of Parking Areas, Parking Characteristics, Parking Service Levels.

The Fairness and Influencing Factors of the Spatial Distribution of Public Services in Beijing–Tianjin–Hebei

Achieving the equalization of public services is one of the main goals of regional highquality development at this stage. It plays an important guiding role in optimizing the spatial pattern of a metropolis. Taking Beijing–Tianjin–Hebei as the research area, this paper used hotspot analysis, spatial measurement, and other methods to conduct quantitative analysis and empirical research based on POI data, census data, etc., to identify regional public service centers and population distribution centers, and compared and matched them. This study built public service evaluation indicators, comprehensively evaluated the public service level of each district and county in the region, established a spatial error model, and empirically analyzed the differences in the comprehensive public service level of 200 districts and counties in the Beijing–Tianjin–Hebei region. The results show that there is a certain degree of mismatch between the comprehensive hotspots of density of public service facilities and the hotspots of permanent populations in the Beijing–Tianjin–Hebei region. The spatial differentiation of the comprehensive level of public services is obvious, showing the characteristics of “high, middle, and low in the north” and “high in the core urban area and low in other districts and counties”. Government policies, economic development level, and the level of urbanization have a significant positive effect on the public service level. The article also discussed the policy implications of the conclusions, as well as corresponding countermeasures and suggestions.

Immune-related genetic prognostic index to predict prognosis and immune checkpoint inhibitor therapy efficiency in acute myeloid leukemia.

Immune-related genetic prognostic index to predict prognosis and immune checkpoint inhibitor therapy efficiency in acute myeloid leukemia.

1977. Vaccine confidence among the adult population of Bishkek and Naryn, Kyrgyz Republic, 2021

Abstract Background Vaccines against COVID-19 are critical to controlling COVID-19. A successful vaccination campaign requires high vaccine uptake. Knowledge of people’s perceptions towards vaccines and their readiness to be vaccinated helps inform messaging around vaccine confidence. Our study aimed to assess the level of vaccine confidence and identify associated factors in two cities in Kyrgyz Republic. Methods In August 2021, we conducted a convenient sample study of adults (≥18 years old) at public service centers and malls in Bishkek and Naryn. A participant had high vaccine confidence if they (1) believed that the COVID-19 vaccine is important to protect oneself or to protect others in their community, and (2) had been vaccinated or planned to get vaccinated. We used logistic regression to assess associations with high vaccine confidence. Results Of 1595 respondents, 29% had high COVID-19 vaccine confidence, 37% believed getting a vaccine was important to protect oneself, and 39% believed it was important to protect others in their community. Moreover, 63% of respondents were not vaccinated and did not plan on getting vaccinated,61% reported concerns about safety and side effects, and 44% believed (incorrectly) that vaccines would not effectively prevent COVID-19. Vaccine confidence increased with age (42% aged ≥50 years vs 21% aged 18-29 years) and education level (38% among those with higher education vs 22% lower education). Higher age (adjusted odds ratio [AOR]: 1.8, 95% confidence interval [CI] 1.4-2.3), higher education (AOR 1.5, CI 1.2-1.8), high COVID-19 knowledge (AOR 2.5, CI 1.6-4.1), prior COVID-19 testing (AOR 1.5, CI 1.3-1.8), and reporting healthcare workers as a primary source of COVID-19 information (AOR 1.3, CI 1.1-1.6) were associated with high vaccine confidence. Conclusion Results demonstrate that building vaccine confidence is likely needed, especially among younger people and people with lower education. Healthcare providers can work with populations to address safety concerns and promote vaccine effectiveness. Disclosures All Authors: No reported disclosures.

A method of multimodal machine sign language translation for natural human-computer interaction

This paper aims to investigate the possibility of robustness enhancement as applied to an automatic system for isolated signs and sign languages recognition, through the use of the most informative spatiotemporal visual features. The authors present a method for the automatic recognition of gestural information, based on an integrated neural network model, which analyses spatiotemporal visual features: 2D and 3D distances between the palm and the face; the area of the hand and the face intersection; hand configuration; the gender and the age of signers. A 3DResNet-18-based neural network model for hand configuration data extraction was elaborated. Deepface software platform neural network models were embedded in the method in order to extract gender and age-related data. The proposed method was tested on the data from the multimodal corpus of sign language elements TheRuSLan, with the accuracy of 91.14 %. The results of this investigation not only improve the accuracy and robustness of machine sign language translation, but also enhance the naturalness of human-machine interaction in general. Besides that, the results have application in various fields of social services, medicine, education and robotics, as well as different public service centers.

Statistical Analysis of Physiological Childbirth and Obstetric Service in Osh Region from 2016 to 2021 Years

This article is investigating physiological childbirth statistics and obstetric service in Osh, Kyrgyzstan during the 2016 to 2021 years. Statistical analyses revealed several patients’ admissions with their hospital stay days for the period from 2011 to 2020 in all departments. Growth in the population analyzed according to Kyrgyz Republic National Statistical Committee; due to spread of coronavirus infection COVID-19 pandemic and the government declared an emergency in certain territories in the Kyrgyz Republic, from March 31 to May 21, 2020, activities of public service centers and registry office by Government Registration Service were delayed. Conclusions: Quality provision in medical care is vital for both women and newborns and for a minority who experience complications in maternity service. Some statistical analyses revealed that average absolute birth number reduced by 92 births and births number variation analysis in Osh oblast for 2016 to 2021 years showed that in the 2021 year total birth number was 29902 and 31000 in 2020, which can be explained by COVID – 19 infection influence on the population. Number of births registered as 182.971 and the average annual number of births was 30.495. Keywords: physiological childbirth, obstetric service, statistical analysis, Kyrgyz Republic National Statistical Committee, birth analysis, COVID 19