Didik Tamtomo
Faculty of Medicine, Universitas Sebelas Maret

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Meta-Analysis of the Effect of Internet-Based Self- Management on Blood Glucose Control in Type 2 Diabetes Mellitus Patients Moh Maulana; Didik Tamtomo; Bhisma Murti
Journal of Health Policy and Management Vol. 8 No. 2 (2023)
Publisher : Master's Program in Public Health, Universitas Sebelas Maret

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Abstract

Background: Diabetes mellitus is a chronic metabolic disorder or disease with numerous etiologies characterized by high blood glucose levels accompanied by lipid, protein, and carbohydrate metabolism disorders. Type 2 diabetes is the most common type of diabetes with about 90% of all diabetes cases. The International Diabetes Federation (IDF) estimates that the number of diabetics in the world can reach 783.7 million people while in Indonesia it is estimated to reach 28.57 million people in 2045. This number is an increase of 46% compared to 536.6 million in 2021. The study aims to discover how much influence internet-based self-management has on blood glucose control in type-2 diabetes mellitus patients.Subjects and Method: It was a meta-analysis study using PRISMA flowchart guidelines with the PICO formulation. P = type 2 diabetes mellitus patients. I = Internet-based self-management. C= No internet-based self-management. O= HbA1C. This study was conducted by searching for articles obtained from the MEDLINE/PubMed, Google Scholar, ProQuest, Science Direct, and Spinger Link databases with keywords and operators “Boolean electronic health record" OR "computerized" OR "healthcare system information" OR "mobile health" OR "mobile app" OR "Telehealth" AND "self-management" AND "Diabetes" OR "diabetes mellitus" OR " type 2 diabetes mellitus" OR "Type 2 diabetes. Based on the database, 10 articles met the inclusion criteria. The analysis was performed using Revman 5.3 software.Results: There were 10 articles from Asia, America, and Europe. A meta-analysis using Randomized Controlled Trials indicated that internet-based self-management significantly reduced HbA1c levels by 0.45 units (SMD= -0.45; CI 95%= -0.57 to -0.33= p<0.001).Conclusion: Internet-based management can reduce HbA1c levels of type 2 diabetes mellitus patients.Keywords: internet-based self-management, hba1c, type 2 diabetes mellitusCorrespondence:Moh Maulana. Masters Program in Public Health, Universitas Sebelas Maret. Jalan Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia. Email: maulana.rosy21@gmail.com. Mobile: +628-851 5667 1759Journal of Health Policy and Management (2023)https://doi.org/10.26911/thejhpm.2023.08.02.02
Meta Analysis the Effect of Electronic Health-based Self Management in Controlling Blood Pressure in Hipertensive Patients Aulia Siti Nur Rahmah; Didik Tamtomo; Bhisma Murti
Journal of Health Policy and Management Vol. 8 No. 2 (2023)
Publisher : Master's Program in Public Health, Universitas Sebelas Maret

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Abstract

Background Consistent application of self-management is important in efforts to improve the quality of life and health status of hypertensive patients. Electronic health is here to facilitate self-management of hypertensive patients and provide health information to health workers in real time and promote lifestyle modifications. The purpose of this study was to analyze the influence of electronic health-based self-management on blood pressure control in hypertensive patients.Subjects and Method: : This study is a meta-analysis using PICO namely Population: Hypertensive patients; Intervention: Self-management based on electronic health; Comparison: No self-management based on electronic health; Outcome: Systolic and diastolic blood pressure. This study uses articles from several databases, i.e Pubmed, Google Scholar, Science Direct and the Cochrane Library using the following keywords “Hypertension” OR “Hypertensive” OR “Blood Pressure” OR “High Blood Pressure” AND “Self Management” OR “Self Care” OR “Self Monitoring” AND “Electronic Health” OR “eHealth” OR “Telemedicine” OR “Telehealth” OR “mHealth” OR “Mobile Health” OR “Mobile Application” OR “Message Text” OR “Phone Calls”. Articles included in the research are articles that use English with an RCT study design whose publication is within the period of 2012-2022. The steps in the systematic review are carried out based on the PRISMA flow diagram guidelines. Quantitative analysis was carried out using Review Manager (Revman) 5.3.Results: There were 9 articles from South Africa, America, South Korea, Spanish, England, Scotland, and Honduras, with a sample size of 3,071 hypertensive patients concluded that electronic health-based self-management could reduce systolic blood pressure by 0.38 units and was statistically significant (SMD= -0.38; 95% CI = -0.55 to -0.20; p<0.001 ). The meta-analysis synthesized 9 studies with a total sample size = 2.095 hypertensive patients concluded that electronic health-based self-management could reduce diastolic blood pressure by 0.21 units and was statistically significant (SMD= -0.21; 95% CI = -0.29 to -0.12; p< 0.001).Conclusion: Electronic health-based self-management can reduce systolic and diastolic blood pressure control in hypertensive patients.Keywords: Self management, electronic health, blood pressure, hypertensionCorrespondence:Aulia Siti Nur Rahmah. Masters Program in Public Health, Universitas Sebelas Maret, Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: rahmaaulia500@gmail.com. Mobile: 08156865373.Journal of Health Policy and Management (2023)https://doi.org/10.26911/thejhpm.2023.08.02.04
Meta Analysis the Effectiveness of Mobile-Based Stress Management Application on Stress and Depression among Workers Niken Yuliani Untari; Didik Tamtomo; Hanung Prasetya
Journal of Health Policy and Management Vol. 8 No. 2 (2023)
Publisher : Master's Program in Public Health, Universitas Sebelas Maret

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Background: The application of stress management at this time really needs a smartphone application to prevent the occurrence of severe mental disorders, reduce stress levels and use this application more effectively. The purpose of this study is to conduct a meta-analysis with the aim of studying and estimating the effectiveness of mobile-based stress management applications on stress and depression in workers.Subjects and Method: This study is a meta-analysis using PICO, Population: Workers, Intervention: Using a mobile-based stress management application, Comparison: Not using a mobile-based stress management application, Output: Stress and Depression. The process of searching for articles between 2012-2022 uses 5 databases: PubMed, Google Scholar, ProQuest, Science Direct and Scopus. The keywords used are “stress” OR “depression” AND “apps” OR “digital health” OR “mobile health” OR “message text” OR “phone calls” OR “website” OR “email” AND “employee” OR “ worker”. Inclusion criteria: article must be a full paper with Randomized Controlled Trial (RCT), article using English, population namely workers, mobile-based stress management application intervention, reported results are stress, depression, include research results number of respondents, average -mean score and standard deviation (SD). Articles that met the requirements were analyzed using the RevMan 5.3 application. Results: There were 14 articles with a Randomized Controlled Trial (RCT) research design originating from Germany, Spain, Switzerland, England, America, Thailand, Taiwan, Korea, Vietnam which were carried out by meta-analysis. The size of the stress sample is 4,865 workers. The meta-analysis shows that workers who use the mobile-based stress management application have 1.08 units lower stress than do not use the mobile-based stress management application, and it is statistically significant (SMD = -1.08; 95% CI = -1.70 to -0.45; p= 0.007). The sample size for depression is 3,983 workers. Workers using the mobile-based stress management application had depression 0.47 units lower than those not using the mobile-based stress management application, and it was statistically significant (SMD = -0.47; 95% CI = -0.85 to -0.10; p = 0.01).Conclusion: Mobile-based stress management application use reduces stress and depresssion in workers.Keywords: stress, depression, stress-based mobile application, worker, employee, meta analysisCorrespondence:Niken Yuliani Untari. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: nikenyuliani1978@gmail.com. Mobile: +6281215810608Journal of Health Policy and Management (2023)https://doi.org/10.26911/thejhpm.2023.08.02.06
Meta Analysis: Effects of Supervision Support, Feedback, and Training on Utilization of Routine Health Information System in Health Workers Dinta Lestari; Didik Tamtomo; Bhisma Murti
Journal of Health Policy and Management Vol. 8 No. 3 (2023)
Publisher : Master's Program in Public Health, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpm.2023.08.03.04

Abstract

Background: Routine health information is an important pillar in health planning, decision making, and improving health programs, as well as providing effective and efficient health services. This study aims to estimate the magnitude of the influence of supervision support, feedback, and training on the use of routine health information systems (SIKR), through a meta-analysis of primary studies conducted by previous researchers. Subjects and Method: This study is a systematic review and meta-analysis using the PRISMA flow chart and the PICO model. Population: health workers. Intervention: there is supervision support, there is feedback, and there is training. Comparison: no supervision support, no feedback, and no training. Outcome: Utilization of SIKR. The online databases used are Google Scholar, PubMed, and ProQuest with the keywords (Routine Health Information Utilization” OR “Management Health Information System”) AND (“Supportive Supervision” OR “Regular Supervision”) AND (Feedback OR “Regular Feedback ”) AND Training OR “HMIS Training” AND “Health Worker” OR “Health Professionals” AND “Cross sectional” AND aOR. There were 14 cross-sectional studies published in 2013-2023 that met the inclusion criteria. Analysis was performed with RevMan 5.3. Results: A meta-analysis was carried out on 14 articles with a cross-sectional study design from Ethiopia on health workers with a sample size of 6,088. The results of the meta-analysis showed that health workers who received supervised support 1.77 times to utilize SIKR compared to those who did not receive supervised support (aOR= 1.77; 95% CI= 1.21 to 2.59; p=0.003), health workers who received feedback 2.15 times to using CIC compared to those who did not receive feedback (aOR= 2.15; 95% CI= 1.29 to 3.58; p=0.003), and health workers who received training 2.65 times to use CIC compared to those who did not receive training (aOR= 2.65; CI 95 %= 1.70 to 4.13; p<0.001). Conclusion: There is support for supervision, feedback/feedback, training/training can increase the utilization of routine health information systems.   Keywords: Supervision support, feedback, training, use of SIKR. Correspondence: Dinta Lestari, Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Sura­karta 57126, Jawa Tengah, Indonesia. Email: dintalestari99@gmail.com. Mobile: 082183568772
Meta-Analysis: Effects of Workload and Work Environment on Work Satisfaction in Health Personnel Galuh Wulansari; Bhisma Murti; Didik Tamtomo
Journal of Health Policy and Management Vol. 8 No. 3 (2023)
Publisher : Master's Program in Public Health, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpm.2023.08.03.03

Abstract

Background: Job satisfaction is one of the important points to motivate and improve work efficiency, high job satisfaction can improve the performance of health workers and patient satisfaction. However, low job satisfaction results in fatigue and a tendency to increase the turnover of health workers which will exacerbate the condition of health facilities. The research objective was to analyze the effect of workload and work environment on job satisfaction in health workers. Subjects and Method: This study is a meta-analysis with PICO. Population: health workers. Intervention: high workload and safe work environment. Comparison: low workload and unsafe work environment. Outcome: job satisfaction. The articles used in this study were obtained from three databases namely Google Scholar, Science Direct and Pubmed. The keywords used to search for articles are “Workload” OR “Job Overload” AND “Safe Work Environment” AND “Job Satisfaction” AND “Health Workers” AND “Multivariate”. The articles used were full text in English from 2012 to 2022. Articles were selected using the PRISMA flowchart and analyzed using the RevMan 5.3 application. Results: A total of 17 cross-sectional study articles from Ethiopia, Switzerland, Israel, Belgium, China, Canada and Denmark. Based on the analysis, health workers with high workloads reduced job satisfaction 0.47 times compared to health workers with low workloads and this was statistically significant (aOR=0.47; 95% CI=0.24 to 0.92; p=0.030). Health workers with a safe work environment increased job satisfaction 2.75 times compared to health workers with an unsafe work environment and this was statistically significant (aOR=2.75; 95% CI=1.59 to 4.78; p=0.003). Conclusion: High workload reduces job satisfaction in health personnel and a safe work environment increases job satisfaction in health personnel.   Keywords: workload, work environment, job satisfaction Correspondence: Galuh Wulansari. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Jawa Tengah, Indonesia. Email: Galuhwulan61@gmail.com. Mobile: 085601548168.
Meta Analysis of Factors Associated with Job Satisfaction in Health Workers Fara Rizky Punjung Hapsari; Bhisma Murti; Didik Tamtomo
Journal of Health Policy and Management Vol. 8 No. 3 (2023)
Publisher : Master's Program in Public Health, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpm.2023.08.03.05

Abstract

Background: Job satisfaction is a perception that is reflected in attitude and focused on behavior towards a job, and is a form of human interaction with the work environment.  High job satisfaction is a sign that an agency has done good management. The more satisfied the health workers in an institution, the more maximum their level of performance and productivity so that the goals of the institution can be achieved. The study aims to analyze the factors that affect job satisfaction in health workers based on the results of previous similar studies. Subjects and Method: It was a systematic review and meta-analysis study with the PICO as follows: P = health workers, I = high salary, the availability of supervision C = low salary, no supervision O = job satisfaction. The data collection was conducted through the databases, namely: Google Scholar and PubMed. The inclusion criteria used were full English papers with Cross Sectional designs in 2012-2022. The keywords used were “job satisfaction" AND "Associated factors” AND "Health Worker".  The articles were analyzed using the Review Manager 5.3 application. Results: The meta-analysis was conducted on 8 primary studies from several countries such as Ethiopia, China, and Nepal. The results of the study showed that there was an effect of high salary on job satisfaction.  Based on the analysis, high-paid health workers were 1.88 times more likely to be satisfied than low-paid health workers and it was statistically significant (aOR = 1.88; CI 95% = 1.08 to 3.2; p = 0.020). Furthermore, a meta-analysis was conducted on 7 primary studies from northern and eastern parts of Ethiopia. The results of the study showed that there was an effect of supervision on job satisfaction. Healthcare workers who received supervision were 2.93 times more likely to be satisfied than those who were unsupervised and it was statistically significant (aOR = 2.93; CI 95% = 1.51 to 5.66; p= 0.003). Conclusion: The provision of high salaries and supervision increases the job satisfaction of health workers.   Keywords: job satisfaction, related factors, health workers. Correspondence: Fara Rizky Punjung Hapsari. Masters Program in Public Health, Universitas Sebelas Maret. Jl Ir Sutami no 36 A, Surakarta, Central Java 57126, Indonesia. Email: fararizky92@gmail.com. Mobile Phone: 081230388935.
Meta Analysis Effects of Completeness of Laboratory Tests and Medicine Supplies on Patient’s Satisfaction Level in Hospital Ayunda Prisilia Kusuma Ningtyas; Didik Tamtomo; Hanung Prasetya
Journal of Health Policy and Management Vol. 9 No. 1 (2024)
Publisher : Master's Program in Public Health, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpm.2024.09.01.07

Abstract

Background: Satisfaction is a feeling that arises when someone gets a service, this feeling can be in the form of pleasure or disappointment. Service satisfaction at the hospital is very dependent on the patient, if the patient receives poor service then the patient tends to be dissatisfied with the service he gets, so that it can affect the quality of the hospital. This study aimed to analyze the effects of the completeness of laboratory tests and drugs availability on the patient satisfaction in hospital. Subjects and Method: This was a systematic review and meta-analysis with PICO model. Popu­la­tion: patients visiting the hospital. Intervention: completeness of laboratory tests and drug availability. Comparison: incomplete labo­ra­tory tests and no drugs available. Outcome: patient satisfaction. Data collection from databases Google Scholar, PubMed, Science Direct, and Spinger Link. The in­clusion criteria used were full papers, cross sectional study, using English language, and published during 2012 and 2022. The keywords used are “Patient Satisfaction level” OR “Patient Satisfaction” AND “Hospital service” AND “Cross sectional”. Articles were analyzed using RevMan 5.3. Results: Meta-analysis included 14 cross-sectional studies. The completeness of the laboratory test (aOR= 2.19; 95% CI= 1.49 to 3.21; p= 0.001) and drug availability (aOR=2.41; 95% CI=1.15 to 5.03; p= 0.002) increased patient satisfaction. Conclusion: Completeness of laboratory tests and drug availability increase patient satisfaction. Keywords: completeness of laboratory tests, drug availability. Correspondence: Ayunda Prisilia Kusuma Ningtyas. Master’s Program in Public Health, Universitas Sebelas Maret.Jl Ir Sutami no 36 A, Surakarta 57126, Central Java, Indonesia. Email : ayunda.prisilia@gmail.com. Mobile: +6281328520526
Effectiveness of Telemedicine to Improve Drug Taking Adherence in Tuberculosis Patients: Meta-Analysis Lilik Anggar Sri Rahayuningsih; Didik Tamtomo; Bhisma Murti
Journal of Health Policy and Management Vol. 9 No. 1 (2024)
Publisher : Master's Program in Public Health, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpm.2024.09.01.02

Abstract

Background: Tuberculosis is a disease caused by a bacterium called Mycobacterium tuberculosis which usually attacks the lungs, but TB bacteria can attack any part of the body such as the kidneys, spine and brain. TB treatment must be carried out regularly so that it can be declared cured so it is necessary to monitor the patient's medication intake, namely by using telemedicine. This study aims to analyze the effectiveness of the use of telemedicine in tuberculosis patients to increase treatment adherence. Subjects and Method: Meta-analysis was carried out using PICO as follows: The population in this study was tuberculosis patients. Intervention in the form of the use of telemedicine. Comparison is not using telemedicine. The outcome is an increase in medication adherence. A meta-analytic study was applied to this study with electronic data sources: Google Scholar, MEDLINE/PubMed, Science Direct and web of science. The article used is a full-text article with a Randomized Control Trial (RCT) study design. There are 6 articles used in this study which were analyzed using the Review Manager 5.3 application. Results: A total of 6 articles with Randomized Control Trial (RCT) studies from Malaysia, Peru, Cameroon, China and Ethiopia showed that the use of telemedicine is effective for increasing treatment adherence in tuberculosis patients, and the effect is statistically significant (aOR = 1.98; 95% CI = 1.53 to 2.55; p<0.001).Conclusion: The use of telemedicine is effective in increasing medication adherence in tuberculosis patients. Keywords: telemedicine, tuberculosis, medication adherence Correspondence: Lilik Anggar Sri Rahayuningsih. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami No. 36A, Surakarta 57126, Central Java, Indonesia. Email: lilikanggar@gmail.com Mobile: +6285647587323
Factors Associated with Readiness to Adopt Electronic Health Record in Professional Health Workers: A Meta-Analysis Purwa Adrianta Wibawa; Didik Tamtomo; Bhisma Murti
Journal of Health Policy and Management Vol. 9 No. 1 (2024)
Publisher : Master's Program in Public Health, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpm.2024.09.01.10

Abstract

Background: The application of an electronic health record at a health service center is something that needs to be prepared so that such a system can be successful. This study aims to determine the factors that influence the readiness of EHR adoption among health professionals. Subject and Method: This systematic review and meta-analysis was carried out using the PRISMA guidelines and the PICO model: Population: professional health workers, intervention: computer literate, computer access, high perceived benefit, high self-efficacy, EHR training, technical assistance, comparison: no computer literacy, no computer access, no perceived benefit, low self-efficacy, no EHR training, no technical assistance, outcome: readiness to adopt EHR. Articles are collected from databases like Pubmed, Google Scholar, Science Direct. The keywords used are "electronic health record" OR “EHR” OR “electronic medical record” OR “EMR” OR “electronic patient record” OR “EPR” AND “adoption” OR “readiness” AND “EHR implementation” AND “healthcare professionals “AND “Multivariate analysis”. A total of 13 articles met the inclusion criteria, namely full text articles with a cross-sectional study design, with a relationship size adjusted odds ratio (aOR). Data were analyzed using RevMan 5.3. Result: Meta-analyses from Myanmar, Saudi Arabia, Ghana, Ethiopia, the Netherlands, and the United States showed that computer literacy (aOR= 1.67; CI 95%= 1.29 to 2.16; p< 0.001), computer access (aOR= 1.93; CI 95%= 1.41 to 2.64; p< 0.001), perceived benefit (aOR= 3.21; CI 95%= 2.27 to 4.56; p< 0.001), self-efficacy (aOR= 1.94; CI 95%= 1.37 to 2.75; p< 0.001), HER training (aOR= 2.20; CI 95%= 1.58 to 3.06; p< 0.001), and technical assistance (aOR= 2.34; CI 95%= 1.26 to 4.35; p= 0.007) influenced in the readiness of EHR adoption in health professionals and it was statistically significant. Conclusion: Good computer literacy, computer access, high perceived benefits, high self-efficacy, EHR training, and technical support increased the readiness for EHR adoption among professional health workers. Keywords: electronic health record, EHR, medical records, health services, professional health workers. Correspondence: Purwa Adrianta Wibawa. Master’s Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta, Central Java 57126, Indonesia. Email: purwaadrianta@gmail.com. Mobile: +62 821-3269-7209.
Analysis of Factors Associated with Work Performance of Inpatient Nurse in Dr. Wahidin Sudirohusodo Hospital, Makassar, Indonesia Andreza; Didik Tamtomo; Bhisma Murti
Journal of Health Policy and Management Vol. 9 No. 1 (2024)
Publisher : Master's Program in Public Health, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/thejhpm.2024.09.01.06

Abstract

Background: Hospital is a health service institution that provides complete individual health services. The success of a hospital is determined by the performance of its employees. To improve the quality of health services, nurses who are reliable and have good performance are needed. Good nurse performance is expected to have a positive impact on organizational performance, in this case, the hospital itself. This study aims to identify and analyze the factors that influence nurse performance. Subjects and Methodes: The study design used descriptive analytic using a cross sectional approach. Study location at Dr. Wahidin Sudirohusodo Central General Hospital Makassar in March 2023. Subjects were 272 nurses in the Inpatient Room. Quantitative data analysis, namely univariate, bivariate and path analysis. Results: Motivation affects nurse performance (b = 0.63; 95% CI = 0.55 to 0.72; p < 0.001). Job satisfaction affects nurse performance (b = 0.20; 95% CI = 0.30 to 0.30; p < 0.001). Discipline affects nurse performance (b = 0.11; 95% CI = 0.01 to 0.23; p = 0.049). Motivation has an effect on discipline (b = 0.46; 95% CI = 0.39 to 0.53; p < 0.001). Job satisfaction affects discipline (b = 0.30; 95% CI = 0.21 to 0.39; p < 0.001). Leadership effect on discipline (b = 0.27; 95% CI = 0.21 to 0.35; p < 0.001). Motivation has an effect on job satisfaction (b = 0.31; 95% CI = 0.24 to 0.38; p < 0.001). Stress has an effect on job satisfaction (b = 0.06; 95% CI = 0.01 to 0.12; p = 0.036). Leadership influences job satisfaction (b = 0.21; 95% CI = 0.15 to 0.29; p < 0.001). Work environment influences job satisfaction (b = 0.52; 95% CI = 0.45 to 0.59; p < 0.001). Conclusion: Nurse performance is influenced by motivation, work discipline, work stress, job satisfaction, leadership, and work environment. Keywords: Motivation, discipline, work stress, job satisfaction, leadership, work environment, nurse performance Correspondence: Andreza. Master’s Program in Public Health, Graduate School, Universitas Sebelas Maret. Jl Ir. Sutami 36 A Kentingan Surakarta, Jawa Tengah, Indonesia. Email : Andrezafauzialghifary@gmail.com. Mobile: 085299015320.