Ditemukan 34923 dokumen yang sesuai dengan query :: Simpan CSV
Yusi Fitriyanti; Pembimbing: Besral; Penguji: Martya Rahmaniati Makful, Deasy Martini
S-9456
Depok : FKM-UI, 2017
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Retno Wisnu Handini; Pembimbing: Toha Muhaimin; Penguji: Martya Rahmaniati Makful,Heru Indra Cahya
S-6592
Depok : FKM-UI, 2011
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Julita Pangesti: Pembimbing: Besral; Penguji: Martya Rahmaniati Makful, Elvida Rosyita
Abstrak:
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Demam Berdarah Dengue (DBD) merupakan penyakit menular yang disebabkan oleh virus dengue, ditularkan oleh nyamuk dan masih menjadi masalah kesehatan masyarakat utama di Indonesia. DBD disebabkan oleh berbagai faktor risiko. Penelitian ini bertujuan untuk mengidentifikasi secara spasial keterkaitan antara faktor-faktor risiko DBD yaitu kepadatan penduduk, ketinggian wilayah, indikator kepadatan vektor (HI, ABJ), cakupan PHBS (rumah tangga, TTU), dan pelayanan kesehatan (puskesmas) dengan kejadian DBD di tiap kelurahan Kota Depok pada tahun 2020-2021. Hasil penelitian menunjukkan bahwa terdapat hubungan spasial yang signifikan dengan pola sebaran kasus mengelompok yaitu pada variabel kasus DBD terhadap wilayah geografis tahun 2020 dan 2021, kepadatan penduduk terhadap kasus DBD tahun 2020 dan 2021, cakupan PHBS RT terhadap kasus DBD tahun 2020 dan 2021, cakupan PHBS TTU terhadap kasus DBD tahun 2021, dan variabel puskesmas terhadap kasus DBD tahun 2021.Sedangkan variabel pada tahun lainnya tidak menunjukkan hubungan yang signifikan. Hasil skoring prioritas wilayah dengan risiko paling tinggi terhadap kejadian DBD di Kota Depok yaitu kelurahan Pancoran Mas, Beji, dan Kemirimuka. Peningkatan pengendalian DBD yang berfokus pada kegiatan pemberdayaan masyarakat dengan gerakan Pemberantasan Sarang Nyamuk (PSN) dan kegiatan Pemantauan Jentik Berkala (PJB), penguatan komitmen stakeholder untuk monitoring dan evaluasi pengendalian DBD, serta penguatan program Gerakan 1 Rumah 1 Jumantik (G1R1J), pelatihan kader DBD, dan pemantau jentik di lingkungan masyarakat dan tempat-tempat umum diharapkan dapat menjadi kunci keberhasilan pengendalian kejadian DBD di wilayah Kota Depok.
Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by the dengue virus, transmitted by mosquitoes and is still a major public health problem in Indonesia. DHF is caused by various risk factors. This study aims to spatially identify the relationship between DHF risk factors, that is population density, altitude, vector density indicators (house index, free larva index), clean and healthy live behavior or PHBS (households, public places), and health services (puskesmas) with DHF incidents in each urban village area of Depok City in 2020-2021. The results showed that there was a significant spatial relationship with the pattern of distribution of cases in clusters, that is the variable DHF cases for geographical areas in 2020 and 2021, population density for DHF cases in 2020 and 2021, PHBS households coverage for DHF cases in 2020 and 2021, PHBS public coverage for DHF cases in 2021, and puskesmas for DHF cases in 2021. Meanwhile, the variables in other years do not show a significant relationship. The results of the priority scoring areas with the highest risk of DHF incidents in Depok City are the Pancoran Mas, Beji, and Kemirimuka sub-districts. Increasing DHF control that focuses on community empowerment activities with the Mosquito Nest Eradication (PSN) movement and Periodic Larvae Monitoring (PJB) activities, strengthening stakeholder commitment to monitoring and evaluating DHF control, as well as strengthening the Movement of 1 House 1 Jumantik (G1R1J) program, DHF cadre training, and larva monitoring in the community and public places is expected to be the key to successful control of DHF incidents in the Depok City area.
S-11194
Depok : FKM-UI, 2023
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Ina Agustina Eka Suswanti; Pembimbing: Sabarinah B. Prasetyo; Penguji: Martya Rahmaniati Makful, Grace Mediana Purnami
Abstrak:
ABSTRAK Penelitian ini membahas tentang faktor-faktor yang mempengaruhi kualitas profil kesehatan Kabupaten Bandung berdasarkan kerangka Health Metrics Networks (WHO, 2012) yang terdiri dari faktor masukan (sumber daya informasi, indikator kesehatan kunci, serta sumber data) dan faktor proses (manajemen data, produk informasi, serta diseminasi dan penggunaan informasi). Faktor keluaran seperti usia informasi, akurasi, relevan, tingkat kejelasan, kelengkapan, dan penyajian informasi menggunakan teori faktor-faktor yang mempengaruhi kualitas informasi Kamali Whitely, 2015. Desain penelitian ini menggunakan metode kualitatif, dengan melakukan wawancara mendalam kepada staf dan pimpinan dari Dinas Kesehatan Kabupaten Bandung sebagai penyedia (pembuat), dan Dinas Kesehatan Provinsi Jawa Barat sebagai pengguna (pengguna), serta puskesmas, Bappeda, Diskominfo, RSUD, dan pihak swasta sebagai pengguna akhir (pengguna akhir). Selain itu, penelitian ini menggunakan telaah dokumen dan observasi yang berkaitan dengan faktor-faktor yang mempengaruhi kualitas profil kesehatan Kabupaten Bandung. Hasil penelitian yang menggunakan penilaian HMN (WHO, 2008), menunjukkan untuk gambaran faktor masukan dan proses dapat disimpulkan bahwa faktor masukan profil kesehatan seperti masih lemahnya sumber daya terkait peraturan perundang-undangan dalam penyusunan profil kesehatan dan peraturan kebijakan dalam koordinasi berupa pertemuan dan pemantauan. Sedangkan menurut aspek sumber daya manusia, dana, dan sumber data sudah terpenuhi. Mengenai gambaran faktor proses, walaupun belum memiliki gudang penyimpanan data, tetapi dalam manajemen data sudah terintegrasi dan mudah digunakan bagi penggunanya melalui web resmi Dinas Kesehatan Kabupaten Bandung. Sedangkan gambaran produk informasi berupa profil kesehatan tidak tepat waktu dalam pelaporannya, sehingga berdampak pada komponen diseminasi dan penggunaan informasi yang ada di profil kesehatan yang tidak dapat digunakan sebagai proses alokasi sumber daya dalam penganggaran pembangunan tahunan yang terpadu, walaupun sudah terpenuhinya semua komponen faktor keluaran seperti usia informasi, akurasi, relevan, tingkat kejelasan, kelengkapan, dan penyajian informasi. Kata kunci: Pofil Kesehatan, Kualitas Profil Kesehatan, Kerangka HMN WHO ABSTRACT This study discusses the factors that influence the quality of the health profile of Bandung Regency based on the framework of Health Metrics Networks (WHO, 2012) which consists of input factors (information resources, key health indicators, and data sources) and process factors (data management, products information, and dissemination and use of information). Output factors such as age of information, accuracy, relevance, level of clarity, completeness, and presentation of information using the theory of factors that influence the quality of information Kamali Whitely, 2015. The design of this study uses qualitative methods, by conducting in-depth interviews with staff and leaders of the Health Office Bandung Regency as a penyedia (maker), and the West Java Provincial Health Office as a pengguna (pengguna), as well as a health center, Bappeda, Diskominfo, RSUD, and the private sector as an pengguna akhir (pengguna akhir). In addition, this study uses document review and observations relating to the factors that influence the quality of health profile in Bandung Regency. The results of the study using the HMN assessment (WHO, 2008), showed that for input and process factors it can be concluded that health profile input factors such as still weak resources related to legislation in preparing health profiles and policy regulations in coordination in the form of meetings and monitoring. Whereas according to aspects of human resources, funds, and data sources have been fulfilled. Regarding the description of process factors, even though they do not yet have a data storage warehouse, the data management has been integrated and is easy to use for its penggunas through the official website of the Bandung District Health Office. While the description of information products in the form of health profiles is not timely in its reporting, so that it has an impact on the dissemination and use of information in the health profile which cannot be used as a resource allocation process in integrated annual development budgeting. Although all components of the output factors have been fulfilled, such as age of information, accuracy, relevance, level of clarity, completeness, and presentation of information. Keywords: Pofil Kesehatan, Quality Health Profile, WHO HMN Framework
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S-9934
Depok : FKM-UI, 2019
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Febriana Widya Nugrahaning Ratanti; Pembimbing: Sutanto Priyo Hastono; Penguji: Martya Rahmaniati Makful, Supriyono Pangribowo
Abstrak:
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Diare merupakan suatu penyakit yang masih menjadi ancaman kesehatan global terutama bagi anak balita. Penyakit diare adalah penyebab kematian anak balita peringkat kedua di dunia secara global dan penyebab kematian paling tinggi di Indonesia pada tahun 2021. Provinsi Jawa Tengah memiliki angka kejadian diare balita sebanyak 87.510 kasus dan kejadian kematian balita akibat diare yang lebih tinggi dibandingkan dengan provinsi yang lain, yaitu sebanyak 184 kasus kematian. Penelitian ini bertujuan untuk mengetahui analisis spasial proporsi kejadian penyakit diare balita dengan kepadatan penduduk, sarana air minum, akses sanitasi layak, status gizi buruk, desa stop BABS, dan fasilitas puskesmas di Provinsi Jawa Tengah Tahun 2021. Penelitian ini menggunakan desain studi ekologi menggunakan data sekunder yang bersifat open source dari Dinas Kesehatan Jawa Tengah dan Badan Pusat Statistik Jawa Tengah. Data yang didapatkan diolah menggunakan software ArcGIS 10.8 dan Geoda. Berdasarkan hasil analisis univariat, distribusi kejadian diare pada balita di wilayah Provinsi Jawa Tengah pada tahun 2021 tertinggi terdapat di Kabupaten Tegal. Berdasarkan hasil analisis autokorelasi terbukti bahwa terdapat hubungan yang signifikan antara kejadian diare pada balita dengan status gizi buruk dan desa stop perilaku BAB Sembarangan dengan, sehingga diperlukan pencegahan dengan penguatan pelaksanaan desa stop BAB Sembarangan dan pelaksanaan giat pencegahan gizi buruk pada anak balita.
Diarrhea is a disease that is still a threat to global health, especially for children under five. Diarrheal disease is the second leading cause of death for children under five in the world globally and the highest cause of death in Indonesia in 2021. Central Java province has an incidence of diarrhea under five as many as 87,510 cases and the incidence of under-five deaths due to diarrhea is higher than other provinces, namely 184 cases of death. This study aims to determine the spatial analysis of the proportion of diarrheal disease in children under five with population density, drinking water facilities, access to proper sanitation, poor nutritional status, villages to stop open defecation, and health center facilities in Central Java Province in 2021. This study uses an ecological study design using open source secondary data from the Central Java Health Office and Central Java Statistics Agency. The data obtained was processed using ArcGIS 10.8 and Geoda software. Based on the results of univariate analysis, the highest distribution of diarrhea in toddlers in Central Java Province in 2021 is in Tegal Regency. Based on the results of the autocorrelation analysis it is proven that there is a significant relationship between the incidence of diarrhea in toddlers and malnutrition status and the village stops open defecation behavior with, so prevention is needed by strengthening the implementation of the village stopping open defecation and active implementation of prevention of malnutrition in children under five.
S-11280
Depok : FKM-UI, 2023
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Muh. Isra Nabil Iksan; Pembimbing: Popy Yuniar; Penguji: Artha Prabawa, Nikson Sitorus
Abstrak:
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Hipertensi merupakan salah satu penyebab utama kematian di Indonesia dan berkontribusi besar terhadap beban penyakit tidak menular. Identifikasi faktor-faktor risiko hipertensi secara menyeluruh sangat penting untuk mendukung intervensi kesehatan yang lebih terarah. Penelitian ini bertujuan untuk menganalisis faktor-faktor risiko kejadian hipertensi pada penduduk usia ≥18 tahun di Indonesia dengan pendekatan probabilistik menggunakan Bayesian Network. Penelitian ini merupakan studi kuantitatif menggunakan data sekunder Indonesia Family Life Survey (IFLS) Gelombang ke 5. Sampel terdiri dari 34.271 individu yang telah melewati tahap pembersihan data dan klasifikasi variabel. Struktur Bayesian Network disusun secara manual berdasarkan analisis bivariat dan referensi teoritis, kemudian divisualisasikan menggunakan perangkat lunak R (bnlearn) dan Python (CausalNex). Analisis probabilitas bersyarat dilakukan melalui perhitungan Conditional Probability Table (CPT) untuk mengidentifikasi jalur risiko langsung maupun tidak langsung. Hasil penelitian menunjukkan bahwa variabel merokok dan imt_kat (kategori Indeks Massa Tubuh tidak normal) merupakan dua faktor risiko utama yang secara langsung meningkatkan probabilitas kejadian hipertensi. Probabilitas hipertensi tertinggi ditemukan pada kombinasi individu yang merokok dan memiliki IMT tidak normal, yaitu sebesar 25,87%. Selain itu, jalur tidak langsung juga teridentifikasi, seperti pendapatan → pendidikan → stres → merokok → hipertensi, serta usia, aktivitas fisik, dan pola makan → IMT → hipertensi. Variabel perilaku dan sosial ekonomi terbukti saling terhubung dalam memengaruhi risiko hipertensi secara kumulatif. Kesimpulan dari penelitian ini menunjukkan bahwa pendekatan Bayesian Network mampu mengungkap hubungan probabilistik antar variabel risiko secara komprehensif. Temuan ini menggarisbawahi pentingnya intervensi kesehatan masyarakat yang bersifat holistik, dengan mempertimbangkan determinan sosial, perilaku, dan fisik sebagai satu kesatuan sistem risiko.
Hypertension is one of the leading causes of death in Indonesia and contributes significantly to the burden of non-communicable diseases. This study aims to analyze the risk factors associated with hypertension among individuals aged ≥18 years in Indonesia using a probabilistic approach through Bayesian Network modeling. This research is a quantitative study utilizing secondary data from the fifth wave of the Indonesia Family Life Survey (IFLS-5). The sample consisted of 34,271 individuals who met the inclusion criteria after data cleaning and variable classification. The Bayesian Network structure was constructed manually based on bivariate analysis and theoretical references, then visualized using R (bnlearn) and Python (CausalNex). Conditional Probability Tables (CPTs) were generated to identify both direct and indirect risk pathways. The results indicate that smoking and abnormal BMI (imt_kat) are two primary risk factors that directly increase the probability of hypertension. The highest probability of hypertension (25.87%) was found among individuals who both smoke and have an abnormal BMI. Additionally, indirect pathways were also identified, such as income → education → stress → smoking → hypertension, as well as age, physical activity, and dietary patterns → BMI → hypertension. Behavioral and socioeconomic variables were shown to be interconnected in influencing hypertension risk cumulatively. In conclusion, this study demonstrates that the Bayesian Network approach is effective in revealing the probabilistic relationships among various risk factors. These findings highlight the importance of holistic public health interventions that consider social, behavioral, and physiological determinants as an integrated risk system.
Hypertension is one of the leading causes of death in Indonesia and contributes significantly to the burden of non-communicable diseases. This study aims to analyze the risk factors associated with hypertension among individuals aged ≥18 years in Indonesia using a probabilistic approach through Bayesian Network modeling. This research is a quantitative study utilizing secondary data from the fifth wave of the Indonesia Family Life Survey (IFLS-5). The sample consisted of 34,271 individuals who met the inclusion criteria after data cleaning and variable classification. The Bayesian Network structure was constructed manually based on bivariate analysis and theoretical references, then visualized using R (bnlearn) and Python (CausalNex). Conditional Probability Tables (CPTs) were generated to identify both direct and indirect risk pathways. The results indicate that smoking and abnormal BMI (imt_kat) are two primary risk factors that directly increase the probability of hypertension. The highest probability of hypertension (25.87%) was found among individuals who both smoke and have an abnormal BMI. Additionally, indirect pathways were also identified, such as income → education → stress → smoking → hypertension, as well as age, physical activity, and dietary patterns → BMI → hypertension. Behavioral and socioeconomic variables were shown to be interconnected in influencing hypertension risk cumulatively. In conclusion, this study demonstrates that the Bayesian Network approach is effective in revealing the probabilistic relationships among various risk factors. These findings highlight the importance of holistic public health interventions that consider social, behavioral, and physiological determinants as an integrated risk system.
S-12045
Depok : FKM UI, 2025
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Haniyyah Tafsha Syahidah; Pembimbing: Popy Yuniar; Penguji: Rico Kurniawan, Nurdianty
Abstrak:
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Kesehatan jiwa merupakan salah satu masalah kesehatan masyarakat di Indonesia yang memiliki tantangan signifikan, termasuk keterbatasan tenaga profesional, pendanaan yang tidak memadai, dan tingginya kesenjangan pengobatan. Dalam pelaksanaan program kesehatan jiwa, Puskesmas sebagai fasilitas kesehatan tingkat primer menggunakan Sistem Informasi Kesehatan Jiwa (SIMKESWA) untuk pencatatan dan pelaporan data. Namun, SIMKESWA hanya mencakup input data dari program kesehatan jiwa dan berjalan terpisah dari Sistem Informasi Manajemen Puskesmas (SIMPUS), yang digunakan untuk pengelolaan layanan secara menyeluruh. Penelitian ini bertujuan untuk mengidentifikasi kesenjangan antara SIMKESWA dengan standar interoperabilitas SATUSEHAT yang dikembangkan Kementerian Kesehatan. Penelitian menggunakan metode deskriptif kualitatif melalui studi dokumen dan wawancara mendalam dengan informan terkait. Hasil penelitian menunjukkan adanya duplikasi data antara SIMKESWA dan SIMPUS, yang menyebabkan tenaga kesehatan harus melakukan input ganda, sehingga menambah beban kerja. Selain itu, pencatatan data kesehatan jiwa saat ini belum sepenuhnya selaras dengan standar data dan struktur interoperabilitas yang ditetapkan oleh SATUSEHAT. Berdasarkan temuan tersebut, penelitian ini menghasilkan rancangan awal panduan interoperabilitas (playbook) untuk program kesehatan jiwa, yang mencakup pemetaan elemen data, struktur resource FHIR yang relevan, serta rekomendasi integrasi antar sistem yang diharapkan menjadi langkah awal menuju sistem informasi kesehatan jiwa yang lebih terintegrasi dan efisien.
Mental health is one of the major public health issues in Indonesia, facing significant challenges such as a shortage of professionals, insufficient funding, and a high treatment gap. In implementing mental health programs, Puskesmas utilize the Mental Health Information System (SIMKESWA) for data recording and reporting. However, SIMKESWA only covers data input specific to mental health programs and operates separately from the Puskesmas Management Information System (SIMPUS), which is used for overall healthcare service management. This study aims to identify the gaps between SIMKESWA and the SATUSEHAT interoperability standards developed by the Ministry of Health. A qualitative descriptive method was used through document analysis and in-depth interviews with relevant informants. The findings reveal data duplication between SIMKESWA and SIMPUS, which requires healthcare workers to perform double data entry, increasing their workload. Additionally, the current state of mental health data recording is not yet fully aligned with the data standards and interoperability structures outlined by SATUSEHAT. Based on these findings, the study produces an initial draft of an interoperability playbook for the mental health program, including a mapping of key data elements, relevant FHIR resource structures, and system integration recommendations. This playbook draft is expected to serve as a preliminary step toward a more integrated and efficient mental health information system.
Mental health is one of the major public health issues in Indonesia, facing significant challenges such as a shortage of professionals, insufficient funding, and a high treatment gap. In implementing mental health programs, Puskesmas utilize the Mental Health Information System (SIMKESWA) for data recording and reporting. However, SIMKESWA only covers data input specific to mental health programs and operates separately from the Puskesmas Management Information System (SIMPUS), which is used for overall healthcare service management. This study aims to identify the gaps between SIMKESWA and the SATUSEHAT interoperability standards developed by the Ministry of Health. A qualitative descriptive method was used through document analysis and in-depth interviews with relevant informants. The findings reveal data duplication between SIMKESWA and SIMPUS, which requires healthcare workers to perform double data entry, increasing their workload. Additionally, the current state of mental health data recording is not yet fully aligned with the data standards and interoperability structures outlined by SATUSEHAT. Based on these findings, the study produces an initial draft of an interoperability playbook for the mental health program, including a mapping of key data elements, relevant FHIR resource structures, and system integration recommendations. This playbook draft is expected to serve as a preliminary step toward a more integrated and efficient mental health information system.
S-12073
Depok : FKM UI, 2025
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Syifa Ruminsyah; Pembimbing: Milla Herdayati; Penguji: R. Sutiawan, Lina Widyastuti
Abstrak:
Semakin meningkatnya jumlah penduduk dan tingginya angka kematian ibu, maka program Keluarga Berencana hadir untuk peningkatan kesehatan ibu dan penekanan laju pertumbuhan penduduk. Keberhasilan dari program KB tidak lepas dari peran pencatatan dan pelaporan setiap pelayanan Keluarga Berencana di Indonesia. Kualitas data yang dihasilkan menjadi salah satu faktor penentu keberhasilan program Keluarga Berencana di Indonesia. Tujuan penelitian ini adalah untuk mengetahui kualitas data pelayanan keluarga berencana di Kota Depok tahun 2019 menggunkan metode Routine Data Quality Assassment (RDQA) yang dikembangkan oleh WHO. Sampel penelitian ini adalah DPAPMK Kota Depok dan PLKB Kecamatan di Kota Depok. Pengambilan data dilakukan dengan observasi, telaah dokumen dan wawancara mendalam. Hasil penelitian menunjukkan kelengkapan dan konsistensi data pelayanan KB di Kota Depok sudah baik. Namun, ditemukan kekurangan pada beberapa aspek seperti penilaian sistem monitoring dan evalusi, dimana dimensi struktur, fungsi dan kapasitas monitoring evaluasi serta pengolahan dan analisis data masih kurang baik. Kesimpulan, secara umum kualitas data pelayanan KB di Kota Depok sudah baik. Namun perlu adanya peningkatan pada beberapa dimensi seperti pada pada ketepatan waktu dan sistem monitoring evaluasi khususnya pada dimensi struktur, fungsi dan kapasitas monitoring evaluasi. Kata Kunci : Akurat; Kelengkapan data; Keluarga Berencana; Kualitas data.
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S-10041
Depok : FKM-UI, 2019
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Aisya Amalia Putri; Pembimbing: Popy Yuniar; Penguij: Besral, Zakiah
Abstrak:
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Kualitas data SPM KIA yang baik diperlukan untuk dapat digunakan sebagai dasar perencanaan. Salah satu model penilaian data yang telah dikembangkan adalah model Penilaian Kualitas Data Rutin (PKDR), yang merupakan adaptasi model WHO yang diadopsi oleh Pusdatin. Hingga saat ini belum pernah dilakukan penelitian pada Kota Depok. Oleh karena itu, penelitian ini bermaksud untuk menilai data SPM Kesehatan Ibu, khususnya indikator K4 dan Linakes, di Kota Depok. Penilaian dilakukan dengan memperhatikan indikator kelengkapan, ketepatan waktu, konsistensi internal, dan konsistensi eksternal, akurasi serta faktor-faktor organisasi yang mempengaruhinya. Dari hasil penelitian didapatkan bahwa kelengkapan data di Kota Depok tergolong baik, ketepatan waktu belum dapat dianalisis secara optimal, konsistensi internal relatif baik meski terdapat beberapa puskesmas yang tidak konsisten, serta konsistensi eksternal bagus, terakhir ketidakakuratan ditemukan di salah satu puskesmas di Kota Depok. Selain itu, penelitian ini juga menemukan masalah-masalah organisasi seputar pengumpulan data yang berpotensi mempengaruhi kualitas data.
Data of good quality on Minimum Service Standard of Maternal and Child Health (MSS MCH) is required to be utilized as a basis for planning. One of the data assessment models that has been developed is the Routine Data Quality Assessment (RDQA) model, which is an adaptation of the WHO model adopted by Pusdatin. No research has been conducted in Depok City until recently. Therefore, this study aimed to assess SPM data on maternal health, specifically indicators such as the K4 and Linakes, in Depok City. The assessment was conducted by considering the indicators of completeness, timeliness, internal consistency, external consistency, and accuracy as well as the organizational factors that influence them. The results showed that data completeness in Depok City was good, timeliness could not be optimally analyzed, internal consistency was relatively good although there was some inconsistent data in some puskesmas, external consistency was good, and lastly, inaccuracy was found in one of the health centers in Depok City.. In addition, this study also found organizational issues surrounding data collection that could potentially affect data quality.
Data of good quality on Minimum Service Standard of Maternal and Child Health (MSS MCH) is required to be utilized as a basis for planning. One of the data assessment models that has been developed is the Routine Data Quality Assessment (RDQA) model, which is an adaptation of the WHO model adopted by Pusdatin. No research has been conducted in Depok City until recently. Therefore, this study aimed to assess SPM data on maternal health, specifically indicators such as the K4 and Linakes, in Depok City. The assessment was conducted by considering the indicators of completeness, timeliness, internal consistency, external consistency, and accuracy as well as the organizational factors that influence them. The results showed that data completeness in Depok City was good, timeliness could not be optimally analyzed, internal consistency was relatively good although there was some inconsistent data in some puskesmas, external consistency was good, and lastly, inaccuracy was found in one of the health centers in Depok City.. In addition, this study also found organizational issues surrounding data collection that could potentially affect data quality.
S-12086
Depok : FKM UI, 2025
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Robiatul Adawiyah; Pembimbing: Sutiawan, R; Penguji: Popy Yuniar, Hirty Lianda
Abstrak:
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Keberlangsungan klaim JKN di RSUD Khidmat Sehat Afiat Kota Depok sekurang kurangnya harus didukung oleh SIMRS yang dapat diintegrasikan dengan E-Klaim INA-CBG’s dan V-Claim. Maka pada tahun 2019 SIMRS dilakukan integrasi dengan kedua sistem informasi tersebut guna meningkatkan keberhasilan klaim JKN. Namun sejak SIMRS dilakukan integrasi hingga saat ini belum pernah dilakukan analisis. Padahal, E-Klaim INA-CBG’s dan V-Claim terus mengalami perubahan yang menjadikan banyaknya fitur yang belum tersedia pada SIMRS yang berujung membuat proses pengajuan klaim JKN menjadi terhambat. Desain penelitian ini menggunakan teori Delone dan McLean (2003) dengan jenis penelitian kuantitatif pendekatan cross sectional dan pengambilan sampel menggunakan proportional stratified random sampling. Data dikumpulkan menggnakan metode survei dengan membagikan kuesioner kepada 110 responden. Hasil penelitian ini didapatkan kualitas sistem, kualitas informasi, kualitas layanan serta net benefit berhubungan positif dan signifikan terhadap kepuasan pengguna.
The continuity of JKN claims at Khidmat Sehat Afiat Hospital, Depok City must at least be supported by SIMRS which can be integrated with INA-CBG's E-Claim and V-Claim. So in 2019 SIMRS was integrated with these two information systems to increase the success of JKN claims. However, since SIMRS was integrated until now no analysis has been carried out. In fact, INA-CBG's E-Claim and V-Claim continue to undergo changes which means that many features are not yet available on SIMRS which results in the JKN claim submission process being hampered. This research design uses the theory of Delone and McLean (2003) with a quantitative research type of cross sectional approach and sampling using proportional stratified random sampling. Data was collected using a survey method by distributing questionnaires to 110 respondents. The results of this research show that system quality, information quality, service quality and net benefits are positively and significantly related to user satisfaction.
S-11494
Depok : FKM-UI, 2024
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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