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PENGARUH PERSON ORGANIZATION FIT (P-O FIT) DAN KEPRIBADIAN TERHADAP KINERJA PEGAWAI DENGAN MEDIASI KOMITMEN ORGANISASIONAL (Studi Terhadap Pengelola Manajemen Informasi Kesehatan Dinas Kesehatan Kota Semarang) Suhito, Hanif Pandu; Rozak, Hasan Abdul
Jurnal Ilmiah Telaah Manajemen Vol 14 No 2 (2017): VOLUME XIV NO. II 2017
Publisher : Jurnal Ilmiah Telaah Manajemen

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (20677.403 KB)

The main goals of this research is to analyze the impact of person-organization fit (P-O Fit), personality, on employee performance using organizational commitment as mediator (study at Health Information Management Division on Distict Health Office of Semarang City). The problem that exist was associated with lower of employee performance. The population in this research is all of the officer related health information management in Distict Health Office of Semarang City as many as 275 officers and 123 officer as sample. Methode of data collection is observation, documentation, dan questionnaire. Analysis methode use instument test (validity and reliability testing), percentage of descriptive analysis, regression analysis, model test, and hypothesis test. The result of this research are: (1) P-O Fit has significant and positive influence on organizational commitment, (2) Personality has significant and positive influence on organizational commitment, (3) P-O Fit has significant and positive influence on employee performance, (4) Personality has significant and positive influence on employee performance, (5) Organizational commitment has significant and positive influence on employee performance, and has mediated P-O Fit and personality influence on employee performance, but the influence of P-O Fit and personality on employee performance, more effective directly than through organizational commitment. Keywords: Person Organizational Fit (P-O Fit), Personality, Organizational Commitment, Employee Performance.

Laporan Kasus COVID Peserta Vaksinasi di Kota Semarang Hakam, Mochamad Abdul; Sidiastahta, Fiqie Ulya; Suhito, Hanif Pandu; Lestari, Wiwik Dwi; Nuraisha, Safira
HIGEIA (Journal of Public Health Research and Development) Vol 5 No 4 (2021): HIGEIA: Oktober 2021
Publisher : Jurusan Ilmu Kesehatan Masyarakat, Fakultas Ilmu Keolahragaan, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/higeia.v5i4.51011

Abstrak COVID-19 menjadi isu penting sejak tahun 2019. Tercatat di Indonesia terdapat 4.043.736 kasus konfirmasi dan 130.182 diantaranya meninggal. Sedangkan Kota Semarang terdapat 71.055 kasus konfirmasi dan 4.312 diantaranya meninggal. Beberapa upaya dilakukan, salah satunya dengan vaksinasi. Kota Semarang telah melaksanakan 1.618.134 suntikan vaksinasi. Berdasarkan data yang diperolah pada tanggal 9 Agustus 2021 teridentifikasi bahwa 12.896 peserta vaksin terpapar COVID-19. Penelitian yang dilakukan pada awal Agustus 2021 dilakukan untuk mengidentifikasi efektifitas vaksinasi pada peserta vaksin di Kota Semarang. Metode penelitian yang digunakan adalah analisis deskriptif kuantitatif menggunakan variabel tanggal COVID dan tanggal pelaksanaan vaksin dosis 1 maupun dosis 2. Terdapat 2 kelompok peserta vaksin yang terpapar COVID-19 yakni terpapar setelah dosis 1 dan terpapar setelah dosis 2 dengan 4 jenis vaksinasi. Jenis vaksin CoronaVac mendominasi kasus terpapar COVID paling banyak, yakni 97.83% kasus dosis 1 dan 99.46% kasus dosis 2. Rata-rata peserta vaksin Corona Vac yang terpapar pada dosis 1 yakni 43,7 hari setelah vaksin 1 dan rata-rata terpapar setelah 24 hari pada kasus setelah dosis 2. Abstract COVID-19 has become an important issue since 2019. It was recorded there were 4,043,736 confirmed cases and 130,182 of them died in Indonesia. Meanwhile, there were 71,055 confirmed cases and 4,312 of them died in Semarang City. We have done several efforts, one of them was vaccination. Semarang had carried out 1,618,134 vaccination injections. Based on data obtained on August 9, 2021, it was identified that 12,896 vaccine participants were exposed to COVID-19. The purpose of the study conducted in early August 2021 was to identify the effectiveness of vaccination towards participants in Semarang City. The research method used is quantitative descriptive analysis using the variable date of COVID and the date of implementation of vaccine dose 1 and dose 2. There are 2 groups of vaccine participants who were exposed to COVID-19, namely exposed after dose 1 and exposed after dose 2 with 4 types of vaccination. The Corona-Vac vaccine dominates the most cases exposed to COVID, namely 97.83% of dose 1 cases and 99.46% of dose 2 cases. The average Corona-Vac vaccine participant exposed to dose 1 is 43.7 days after vaccine 1 and on average exposed after 24 days in cases after dose 2. Keywords: COVID-19 vaccination. case reports, vaccine effectiveness, Semarang

Validation Short Food Literacy Questionnaire for Women: Translation and Cultural Adaptation in Indonesia Haikal, Haikal; Suhito, Hanif Pandu; V.Duong, Tuyen; A. Utami, Fasty; Setiono, Oki; Puspita, Fitria Dewi; Rachmani, Enny
International Journal of Health Literacy and Science Vol. 2 No. 2 (2024): International Journal of Health Literacy and Science
Publisher : Health Science UDINUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60074/ihelis.v2i2.79

Food literacy is vital for public health, particularly in urban areas, as it enhances understanding of nutrition and fosters healthy eating patterns. This study aims to adapt and validate the SFLQ instrument for the Indonesian population, especially women. This study distributed the questionnaire to 968 respondents from across 16 sub-districts in Semarang City. This study validated SFLQ and modified it to fit Indonesia’s condition. The 12-item questionnaire scored on a 4-point Likert scale, evaluates basic knowledge, understanding, and ability to assess nutritional information. Confirmatory Factor Analysis (CFA) determined the instrument's structure, followed by Structural Equation Modeling (SEM) for validation. Construct validity was tested by correlating SFLQ scores with health literacy, gender, and education, while internal consistency was assessed using Cronbach's Alpha. The study revealed a unidimensional structure, high internal consistency (Cronbach's Alpha = 0.891), significant factor loadings (0.400–0.730), and a strong correlation between nutritional and health literacy (rs = 0.606, p < 0.01). Construct validity was supported by a significant positive correlation between food literacy and health literacy scores (rs = 0.606, p < 0.01). The Jonckheere-Terpstra test also showed a trend of increasing nutritional literacy scores with higher health literacy categories (p = 0.000)—significant correlations with education level and health literacy supported validity. Aspects like dietary impact evaluation showed room for improvement

Determine Supporting Factors for the Successful Implementation of Electronic Medical Records in PHC Semarang City Suhito, Hanif Pandu; Sholikun, Sholikun; Raniasmi, Prahita Indriana
Jurnal Rekam Medis dan Informasi Kesehatan Vol 7, No 2 (2024): OKTOBER 2024
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jrmik.v7i2.12111

The implementation of Electronic Medical Records (RME) in Semarang City health centers is a strategic step to increase the efficiency and effectiveness of health services. This research aims to identify factors that support the successful implementation of Electronic Medical Records (RME) in 39 Semarang City Health Centers. This research involved 110 respondents who were RME users, with various demographic characteristics such as age, gender, highest level of education, and years of work. Data was collected through an online survey using a Likert Scale-based questionnaire. Using the DeLone and McLean Model with the variables studied include system quality, information quality, service quality and user satisfaction. The results of multiple linear regression analysis show that system quality and information quality do not have a significant influence on user satisfaction, with t values of 1.515 (p=0.133) and -0.457 (p=0.649), respectively. However, service quality has a significant influence on user satisfaction, with a t value of 11.144 (p=0.000). This regression model explains that 86.7% of the variation in user satisfaction can be explained by the three independent variables, with an Adjusted R Square of 0.867. Based on this research, improving service quality is a key factor in increasing RME user satisfaction at the Semarang City Health Center. Effective implementation of RME can be encouraged by focusing on improving services to support the success of health digital transformation programs.

CLASSIFICATION OF TODDLER NUTRITIONAL STATUS USING SUPPORT VECTOR MACHINE AND RANDOM FOREST TECHNIQUES WITH OPTIMAL FEATURE SELECTION Widyawati, Femmi; Suhito, Hanif Pandu; Yassin, Warusia; Agus Santoso, Heru
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 6 (2024): JUTIF Volume 5, Number 6, Desember 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.6.4162

Nutritional problems in toddlers, such as stunting, wasting, being underweight, and obesity, are major challenges in monitoring toddler health in Indonesia because they can hurt toddler growth and development. Therefore, handling nutritional problems comprehensively, including prevention efforts and appropriate dietary interventions, is very important. This study aims to develop a toddler nutritional status classification model based on machine learning algorithms, namely Support Vector Machine (SVM) and Random Forest, by utilizing a toddler dataset obtained from Health Institutions in Indonesia containing 9,735 data. The model was designed using the Recursive Feature Elimination (RFE) technique for selecting relevant features and the Synthetic Minority Over-sampling Technique (SMOTE) to handle class imbalance. The results showed that the Random Forest algorithm performed best with 95% accuracy, 77% precision, 87% recall, and 81% f1-score. This study contributes to developing a machine learning-based approach to support a more effective nutritional monitoring system and enable more appropriate dietary interventions to address toddler health problems in Indonesia.

Evaluation of the Implementation of the “SIMPUS” Dental Medical Record and Human Identification System in Semarang City Sukendro, Sulur Joyo; Cahyati, Widya Hary; Rahayu, Sri Ratna; Suhito, Hanif Pandu
Jurnal Kesehatan Gigi Vol 12, No 1 (2025): Juni 2025
Publisher : Jurusan Kesehatan Gigi, Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jkg.v12i1.13049

The evaluation of the "SIMPUS" software in Semarang City is motivated by the existence of a dental medical record information system within the “SIMPUS” application. However, some menus are not yet aligned with the required standards. In addition, there is a new discourse on the use of dental data as a means of human identification in disaster events. The aim of this study is to provide an overview of the implementation of a standardized dental medical record information system, as well as to establish and test a system capable of supporting decision-making in human identification. This research employed a quantitative descriptive method to evaluate the use of the “SIMPUS” software in Semarang City. Data collection was carried out through interviews and observations. The research subjects were dental therapists and dentists at community health centers (puskesmas) within the jurisdiction of the Semarang City Health Office. Data were analyzed using a quantitative descriptive approach. The results showed that the “SIMPUS” software in Semarang City is user-friendly as a Dental Medical Record Information System, although some codes occasionally do not appear. The system is comprehensive, and the data output matches the input provided. However, the feature for human identification using dental charts is not yet available, and there is no display of individual baseline data related to odontogram codes. The “SIMPUS” software in Semarang City is accepted by users as a Dental Medical Record Information System that meets national dental record standards. It can be used by community health centers to manage patient registration data, medical records, and generate monthly disease reports (LB1) and dental treatment reports. However, patient search features based on odontogram codes are not yet available, and further research is needed.

Service Quality Perception and Service Satisfaction of COVID-19 Vaccination in Indonesia: A Participants Vaccination Perspective Zainafree, Intan; Maharani, Chatila; Indrawati, Fitri; Wahyono, Bambang; Syukria, Nadia; Patriajat, Maria M. Rosaria; Hakam, Mohammad Abdul; Defi, Rahma; Suhito, Hanif Pandu
Jurnal Kesehatan Masyarakat Vol. 20 No. 4 (2025)
Publisher : Universitas Negeri Semarang in collaboration with Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI Tingkat Pusat) and Jejaring Nasional Pendidikan Kesehatan (JNPK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/kemas.v20i4.23600

The COVID-19 vaccine is a crucial effort to break the chain of transmission of COVID-19. To achieve optimal, effective, and efficient results in community program implementation, monitoring and evaluation are essential. The purpose of this study was to evaluate the implementation of COVID-19 vaccination in Semarang. So, it was known that service quality perception, service satisfaction, and willingness to recommend vaccination to others. This study is an analytic observational study with a cross-sectional design in 2022. The total number of respondents was 512 people. Data collection was carried out directly by visiting respondents who had received COVID-19 vaccinations at public health centers and vaccination centers. The data obtained is then processed and analyzed with the final model using Binary Logistic Regression. Respondents with basic education (4.67 ± 0.449) and those using the collective registration mechanism (4.51 ± 0.495) showed a positive correlation with perceived service quality. Of the 9 procedural suitability items, 4 received higher satisfaction scores: staff asking about regular medication use (4.41 ± 0.612), confirmed COVID-19 history (4.42 ± 0.598), close contact history (4.42 ± 0.609), and post-vaccination observation for side effects (4.43 ± 0.608), all with p-value < 0.05. Overall, respondents were satisfied with the service quality, with 26.5% willing to recommend vaccination to others. This indicates that the COVID-19 vaccination service is running effectively and appropriately.

Climate Variability and Its Impact on Acute Respiratory Infections: A Case Study Suhito, Hanif Pandu; Cahyati, Widya Hary; Ningrum, Dina Nur Anggraini; Sholikun, Sholikun
Journal of Creativity Student Vol. 8 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jcs.v8i1.25290

This study aims to analyze the relationship between climate variability and acute respiratory infection (ARI) cases in Semarang City over the period 2015-2023. This issue is becoming increasingly relevant as climate change continues to influence weather patterns and environmental conditions, potentially affecting public health outcomes, particularly respiratory health. Method: The research method used is descriptive observational with an ecological study approach according to time which aims to see climate variability with ARI cases. Analyses were conducted to test the correlation between ARI cases and various climatic parameters, so as to obtain a comprehensive understanding of climatic factors that can affect the incidence of ARI. Results: The results of univariate analysis showed that during the period 2015 - 2023 the average ARI cases amounted to 9,815 cases / month, the average temperature was 28.31˚C, the average humidity was 73.49%, the average rainfall was 12.52 mm / month, the average length of sunshine was 7.42 hours, and the average wind speed was 2.55 km / hour. The correlation test results show that, maximum temperature (p = 0.002), average temperature (p = 0.003), average humidity (p = 0.008), wind direction with maximum speed (p = 0.000) have a significant relationship with ARI cases in Semarang City. While the average rainfall parameter (p = 0.681) and the length of sunshine parameter (p = 0.752) have no relationship with ARI cases in Semarang City in 2015 – 2023. Conclusion: Maximum temperature parameter, average temperature parameter, average humidity parameter, and wind direction parameter at maximum speed have a significant relationship with ARI cases. Promotive and preventive efforts need to be made to reduce the risk of ARI transmission, especially at the turn of the season and the density of activities carried out in the community.

Evaluation of the Implementation of the â€œSIMPUSâ€ Dental Medical Record and Human Identification System in Semarang City Sukendro, Sulur Joyo; Cahyati, Widya Hary; Rahayu, Sri Ratna; Suhito, Hanif Pandu
Jurnal Kesehatan Gigi Vol. 12 No. 1 (2025): Juni 2025
Publisher : Jurusan Kesehatan Gigi, Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jkg.v12i1.13049

The evaluation of the "SIMPUS" software in Semarang City is motivated by the existence of a dental medical record information system within the â€œSIMPUSâ€ application. However, some menus are not yet aligned with the required standards. In addition, there is a new discourse on the use of dental data as a means of human identification in disaster events. The aim of this study is to provide an overview of the implementation of a standardized dental medical record information system, as well as to establish and test a system capable of supporting decision-making in human identification. This research employed a quantitative descriptive method to evaluate the use of the â€œSIMPUSâ€ software in Semarang City. Data collection was carried out through interviews and observations. The research subjects were dental therapists and dentists at community health centers (puskesmas) within the jurisdiction of the Semarang City Health Office. Data were analyzed using a quantitative descriptive approach. The results showed that the â€œSIMPUSâ€ software in Semarang City is user-friendly as a Dental Medical Record Information System, although some codes occasionally do not appear. The system is comprehensive, and the data output matches the input provided. However, the feature for human identification using dental charts is not yet available, and there is no display of individual baseline data related to odontogram codes. The â€œSIMPUSâ€ software in Semarang City is accepted by users as a Dental Medical Record Information System that meets national dental record standards. It can be used by community health centers to manage patient registration data, medical records, and generate monthly disease reports (LB1) and dental treatment reports. However, patient search features based on odontogram codes are not yet available, and further research is needed.

Determine Supporting Factors for the Successful Implementation of Electronic Medical Records in PHC Semarang City Suhito, Hanif Pandu; Sholikun, Sholikun; Raniasmi, Prahita Indriana
Jurnal Rekam Medis dan Informasi Kesehatan Vol. 7 No. 2 (2024): OKTOBER 2024
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jrmik.v7i2.12111

The implementation of Electronic Medical Records (RME) in Semarang City health centers is a strategic step to increase the efficiency and effectiveness of health services. This research aims to identify factors that support the successful implementation of Electronic Medical Records (RME) in 39 Semarang City Health Centers. This research involved 110 respondents who were RME users, with various demographic characteristics such as age, gender, highest level of education, and years of work. Data was collected through an online survey using a Likert Scale-based questionnaire. Using the DeLone and McLean Model with the variables studied include system quality, information quality, service quality and user satisfaction. The results of multiple linear regression analysis show that system quality and information quality do not have a significant influence on user satisfaction, with t values of 1.515 (p=0.133) and -0.457 (p=0.649), respectively. However, service quality has a significant influence on user satisfaction, with a t value of 11.144 (p=0.000). This regression model explains that 86.7% of the variation in user satisfaction can be explained by the three independent variables, with an Adjusted R Square of 0.867. Based on this research, improving service quality is a key factor in increasing RME user satisfaction at the Semarang City Health Center. Effective implementation of RME can be encouraged by focusing on improving services to support the success of health digital transformation programs.

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