40 research outputs found

    Case Report: Tuberculosis with Pericardial Effusion in Children Muhammad Ali Shodikin

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    Tuberculosis pericardial effusion is a rare case in the developed countries. This may cause serious and deadly impact if not diagnosed and treated properly. Appropriates diagnosis and treatment of tuberculosis pericardial effusion can prevent mortality. A 14-years-old boy was admitted with tightness of breath, chest pain, and abdominal enlargement. Chest X-ray revealed heart enlargement and echocardiography showed a massive pericardial effusion. The diameter of induration of tuberculin skin test was 14 mm. This patient was diagnosed as tuberculosis pericardial effusion and showed complete recovery after paricardiocentesis and anti-tuberculosis drugs administration for 12 months. Chest X-ray in tuberculosis with pericardial effusion shows an enlarged heart. so that adequate treatment with pericardiocentesis and anti-tuberculosis drugs can completely cure this disease

    Post Circumcision Bleeding due to Undiagnosed Hemophilia: a Case Report

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    Background. Hemophilia is an X-linked recessive bleeding disorder caused by the deficiency of coagulation factors VIII, IX, or XI. In Indonesia, it is estimated that there are 20,000 hemophiliacs out of 270 million population. In about 20% of cases no family history is found, but known when there is spontaneous bleeding that occurs after trauma / surgery. The objective of this study is to describe case of post circumcision bleeding due to undiagnosed hemophilia in primary health care facility. Case. A 5 years old child experienced bleeding seeps for 16 days from circumcision wound performed in primary health care facility. After reoperated in the hospital, the seeps had stopped for a day then seeped again, therefore the patient admitted for third times. There were no history of previous spontaneous bleeding, no family history of bleeding disorders. Physical examination revealed spontaneous bleeding from the circumcision wound (fig. A). Laboratory finding: Haemoglobin = 10.4 g/dL, White Blood Cell = 8.1x10 3 /μL, Haematocrite = 30.7%, Platelets = 413 x10 3 /μL, PPT = 11.4 seconds, APTT = 92.0 seconds. Complete blood count showed normal result and prolonged APTT with normal PPT

    The Correlation between Thrombocyte, Hematocrit, and Leukocyte Count with Length of Hospitalization in Pediatric Patient with Dengue Hemorrhagic Fever (DHF)

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    Dengue Hemorrhagic Fever (DHF) is a disease caused by dengue virus with mosquito vectors. Supporting examinations to determine the course of DHF include platelet counts, hematocrit values, and leukocyte counts. Length of hospitalization is the number of days when the patient receives treatment in the hospital, calculated when recorded as an inpatient until discharge from the hospital. This type of research is an analytic observational study with a cross sectional research design. Cases of pediatric DHF at Bina Sehat Hospital Jember for the period 2020-2022 totaled 296 patients. Data were obtained using medical records. Of the 296 cases of pediatric DHF, samples were then taken by purposive sampling according to the researcher's criteria until 44 samples were obtained. The data were then analyzed using Rank Spearman. The results of the data analysis showed that there was a strong opposite relationship (p = 0.000; r = -0.562) between platelet count and length of hospitalization, a strong unidirectional relationship (p = 0.001; r = 0.495) between hematocrit value and length of hospitalization, and a strong opposite relationship (p = 0.005; r = -0.415) between leukocyte count and length of hospitalization. Suggestions for future research are to use other variables such as nutritional status, medical history, and other laboratory examinations. Keywords: Dengue Hemorrhagic Fever; Length of Hospitalization; Thrombocyte; Hematocrit; Leukocyt

    DAMPAK GAME ONLINE TERHADAP PERILAKU SOSIAL SISWA SMPN 1 PUNCAK SORIK MARAPI: SEBUAH ANALISIS FENOMENOLOGIS [IMPACT OF ONLINE GAMES ON SOCIAL BEHAVIOR OF SMPN 1 PUNCAK SORIK MARAPI STUDENTS: A PHENOMENOLOGICAL ANALYSIS]

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    Adolescence is a period of transition between children and adults, at this time teenagers are also known as periods of difficulty. The current era of technology has received a lot of attention from the wider community, one of which is the problem of online games. This research is motivated by the existence of very rapid technological developments that cause students to experience changes in social behavior. The basic purpose of this study is to explain the positive and negative impacts of online games on the social behavior of students at SMP Negeri 1 Puncak Sorik Marapi. The research method used is a qualitative method. The approach used by the researcher is a phenomenological approach. This study will focus on the impact of online games on students' social behavior. The results of this study are the negative impact of students who are considered addicted to online games, of course, very diverse including students sometimes speak impolite and polite, some students also forget time for school because of the fun of playing, students also often spend time playing games at school, stealing time. during study hours so that it has an impact on social change which often forgets the surrounding environment, while the positive impact of online games on the social behavior of SMP Negeri 1 Puncak Sorik Marapi students is in the form of adding relationships, means of refreshing, collaborating, and students can express their emotions through playing online games

    Risk Factor Analysis of Dengue Shock Syndrome Occuring to Children in RSD dr. Soebandi Jember Regency

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    Dengue Shock Syndrome is a medical emergency situation caused by shocking DHF. Some factors that can influence the DSS. The purpose of this research know some risk factors that might cause DSS. Those are age, nutritional status, gender, and amount of platelet and hematocrit. This research was retrospective case control doing in dr. Soebandi Hospital Jember. The sample were divided into 2 groups. Those were DSS (case group) and non-DSS group (control group). Data analysis was done by Chi-Square test using SPSS 21 version. These were 136 patients which were divided into 94 patients of control group and 42 patients of case group. In this research, there were p-value for ages, nutritional status, gender, amount of platelet and hematocrit on each 0,450; 0,490; 0,198; 0,001; 0,007 respectively. In this search, it could be concluded that age, nutritional status, and gender were not significantly related to DSS case although amount of platelet and hematocrit were significantly related to DSS case.Keywords:dengue shock syndrome, age, nutritional status, gender, hematocrit, platelet

    DESAIN KONSEPTUAL DESA WISATA DI LAHAN NON-PRODUKTIF: UPAYA PENINGKATAN POTENSI LOKAL DESA GLAGAH, LAMONGAN

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    A tourist village is a village designated as a tourist attraction due to its unique appeal. A tourist village integrates attractions, accommodations, and supporting facilities. It is presented within a community structure that aligns with established customs and traditions. Glagah Village has an underutilized field, prompting the village head to propose a tourist village program to the field supervisor, who had previously surveyed the location. The intended tourist village aims to optimize the non-productive village field into a beneficial area for the community. Therefore, the 2024 UNISDA KKN team take the tasks to conceptualize and design the field to ensure its effective utilization for various village activities and events. The methods used in this community service program include site surveys, interviews with village officials, land use concept design using design software, and community socialization. The results indicate that the tourist village concept, incorporating the construction of a multipurpose hall, can enhance the functionality of the village field while fostering economic and social activities within the community. This project is expected to serve as a model for other villages seeking to optimize their underutilized land. &nbsp

    The Corellation Between Serum Ferritin and Cardiac Troponin I in Major Beta Thalassemia Children

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    Major beta thalassemia (MBT) is a hereditary disease which synthesies defects in beta chains of haemoglobin, it is causes red blood cell destruction and the symptoms of anemia. Red blood cell destruction, frequent blood transfusion and low adherence to routine use of iron chelator lead to iron accumulation in the heart, liver and endocrine organs. Accumulation of iron in the myocard can lead acute myocardial infarction. One of cardiac markers that had been used for the diagnosis of myocardial infarction was cardiac troponin I (cTnI). The aim of this research is find the correlation between serum ferritin levels and cTnI in MBT children. A descriptive analytic research was conducted using a cross sectional design. The subjects were divided into 2 groups, the MBT group and the control group. In both groups, the serum ferritin and cTnI levels ere evaluated. Data were analyzed using t-test and Pearson correlation test. Eleven children in the MBT group and 11 children in the control group were involved in this study. In the MBT group, the mean of serum ferritin and cTnI levels were 4292.5 µg/L and 0.20 ng/mL respectively. The mean of serum ferritin levels in the MBT group were higher than in the control and statistically significant (p= 0.0004). The mean of serum ferritin levels in the MBT group were higher than in the control and statistically significant (p= 0.0004). The mean of serum cTnI in the MBT group were higher than in the control, but statistically not significant (p= 0.82). In the MBT group, there was a weak corellation between serum ferritin and cTnI levels (r= 0.34)

    Risk Factor for Stunting at Balung Health Center, Jember Regency, Indonesia

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    Stunting is a condition of failure to thrive in children under five years of age as a result of chronic malnutrition so that the child is too short for his age. The prevalence rate of stunting in Indonesia is still above 20%, meaning that it has not reached the target. Factors that influence stunting include birth length and birth weight. The purpose of this study was to determine the description of the factors that influence the incidence of stunting in children aged 0-59 months in the working area of the Balung Public Health Center in 2021. This research is descriptive in nature which was conducted Stunting is a condition of failure to thrive in children under five years of age as a result of chronic malnutrition so that the child is too short for his age. The prevalence rate of stunting in Indonesia is still above 20%, meaning that it has not reached the target. Factors that influence stunting include birth length and birth weight. The purpose of this study was to determine the description of the factors that influence the incidence of stunting in children aged 0-59 months in the working area of the Balung Public Health Center in 2021. This research is descriptive in nature, which was conducted in the working area of Puskesmas Balung, Jember Regency in April 2021. The population is children under five with age stunting. 0-59 months recorded in the EPPGBM in February 2021. Sampling in this study was carried out by total sampling, namely as many as 639 stunting toddlers. Of the 639 stunted children under five, 347 were male and the majority occurred at the age of 12-23 months, namely 150 under five. From 639 toddlers, it describes 516 toddlers with normal body length and 123 toddlers with short birth lengths. Meanwhile, the birth weight of 639 children under five shows that 422 children under five were born with normal birth weight. From the data above, it can be concluded that the majority of children under five with stunting in the working area of Puskesmas Balung were born with normal body length and weight. For this reason, it is necessary to carry out further research on the relationship of several risk factors using statistical tests. In addition, it is also necessary to look for other risk factors that can cause stunting in childre

    Pengembangan Model Prediksi Readmisi Pasien Berdasarkan Analisis Customer Lifetime Value Menggunakan Metode Ensemble

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    Saat ini tantangan dalam industri perumahsakitan di Indonesia khususnya dalam hal strategi marketing adalah masih banyaknya rumah sakit yang belum mampu melakukan pemetaan tipologi konsumen berdasarkan tingkat loyalitasnya. Seperti halnya yang terjadi di Rumah Sakit X sebagai RS swasta kelas C di Sidoarjo yang masih belum optimal dalam memetakan tipologi konsumen untuk mengembangkan strategi marketing khususnya dalam hal memprediksi readmisi pasien. Tujuan memprediksi readmisi pasien diharapkan dapat membantu manajer rumah sakit dalam merumuskan kebijakan strategi marketing untuk mempertahankan loyalitas konsumen. Penelitian-penelitian yang menitikberatkan pada pemrosesan histori layanan medis pasien untuk pengembangan model prediksi readmisi pasien berdasarkan analisis Customer Lifetime Value (CLV) menggunakan metode Ensemble masih jarang dilakukan. Berdasarkan latar belakang tersebut di atas, maka penulis meneliti prediksi readmisi pasien berdasarkan analisis Customer Lifetime Value menggunakan metode Ensemble. Nilai CLV membantu perusahaan dan organisasi mengalokasikan sumber daya terbatas yang tersedia untuk pelanggan mereka dengan mengkategorikan dan menetapkan bobot tertentu untuk setiap pelanggan. Pemeringkatan CLV dievaluasi dengan salah satu metode populer yaitu model Recency, Frequency, Monetary dan Interpurchase Time (RFMT) untuk penekanan pada pelanggan yang menguntungkan perusahaan. Hasil penelitian menunjukkan dataset readmisi pasien rawat inap dan rawat jalan dapat dibangun berdasarkan analisis CLV menggunakan nilai RFMT yang berasal dari histori layanan medis dan pembobotan RFMT menggunakan teknik Fuzzy-AHP. Segmentasi pasien rawat inap terdiri dari kategori Champions sebanyak 473 (2%), kategori Loyal Customers sebanyak 1.727 (7%), kategori Potential Loyalist sebanyak 3.874 (16%), kategori Lost Customers sebanyak 18.516 (75%). Segmentasi pasien rawat jalan meliputi kategori Champions sebanyak 3.512 (8%), kategori Loyal Customers sebanyak 5.661 (13%), kategori Potential Loyalist sebanyak 11.070 (25%), kategori Lost Customers sebanyak 23.678 (54%). Kategori Champions, Loyal Customers, dan Potential Loyalist termasuk dalam kelompok pasien readmisi. Sedangkan kategori Lost Customers termasuk dalam kelompok pasien non readmisi. Berdasarkan evaluasi kinerja model prediksi readmisi pasien rawat jalan dan rawat inap, didapatkan bahwa semua metode Ensemble baik model Decision Tree, Gradient Boosting dan Stacking memiliki akurasi 100%. Begitu pula nilai Precision, Recall dan F1-Score pada ketiga model tersebut juga mencapai 100%. Berdasarkan hasil evaluasi kinerja model menunjukkan bahwa metode Ensemble sebagai model prediksi yang dikembangkan dalam penelitian ini dapat mengkategorikan segmen pasien rawat jalan dan rawat inap yang meliputi Champions, Loyal Customers, Potential Loyalist, dan Lost Customers dengan benar. ================================================================================================================================= Currently, the challenge in the hospital industry in Indonesia, especially in terms of marketing strategy, is that there are still many hospitals that have not been able to map consumer typologies based on their level of loyalty. As is the case at X Hospital, a class C private hospital in Sidoarjo, which is still not optimal in mapping consumer typologies to develop marketing strategies, especially in terms of predicting patient readmissions. The aim of predicting patient readmissions is expected to help hospital managers in formulating marketing strategy policies to maintain consumer loyalty. Research that focuses on processing patient medical service history to develop patient readmission prediction models based on Customer Lifetime Value (CLV) analysis using the Ensemble method is still rarely carried out. Based on the background above, the author examines patient readmission predictions based on Customer Lifetime Value analysis using the Ensemble method. CLV values help companies and organizations allocate the limited resources available to their customers by categorizing and assigning certain weights to each customer. CLV ranking is evaluated using one of the popular methods, namely the Recency, Frequency, Monetary and Interpurchase Time (RFMT) model to emphasize customers who are profitable for the company. The research results show that a readmission dataset for inpatients and outpatients can be built based on CLV analysis using RFMT values derived from medical service history and RFMT weighting using the Fuzzy-AHP technique. The segmentation of inpatients consists of the Champions category with 473 (2%), the Loyal Customers category with 1,727 (7%), the Potential Loyalist category with 3,874 (16%), the Lost Customers category with 18,516 (75%). The outpatient segmentation includes the Champions category with 3,512 (8%), the Loyal Customers category with 5,661 (13%), the Potential Loyalist category with 11,070 (25%), the Lost Customers category with 23,678 (54%). The Champions, Loyal Customers and Potential Loyalist categories are included in the readmission patient group. Meanwhile, the Lost Customers category is included in the group of non-readmission patients.Based on the performance evaluation of outpatient and inpatient readmission prediction models, it was found that all ensemble methods, including Decision Tree, Gradient Boosting and Stacking models, had 100% accuracy. Likewise, the Precision, Recall and F1-Score values for the three models also reach 100%. Based on the results of the model performance evaluation, it shows that the Ensemble method as a prediction model developed in this research can categorize the outpatient and inpatient patient segments which include Champions, Loyal Customers, Potential Loyalists, and Lost Customers correctly

    PENGARUH INFLUENCER MARKETING TERHADAP CUSTOMER-BASED BRAND EQUITY: Survei pada Pengikut Instagram Vivo Indonesia

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    ABSTRAK Iqbal Fadlil Abdillah (1806116), Pengaruh Influencer Marketing terhadap Customer-Based Brand Equity (Survei pada Pengikut Instagram Vivo Indonesia) dibawah bimbingan Drs. Girang Razati, M. Si. dan Dr. Dita Amanah, MBA. Penelitian ini bertujuan untuk mengetahui Pengaruh Influencer Marketing terhadap Customer-Based Brand Equity. Jenis penelitian yang digunakan adalah deskriptif verifikatif yaitu dengan penggambaran dan pemaparan variabel-variebel yang diteliti dan kemudian ditarik kesmpulan. Variavel dependen dalam penelitian ini adalah customer-based brand equity (Y), dan influencer marketing (X) sebagai variabel independen. Populasi dalam penelitian ini adalah Pengikut Instagram Vivo Indonesia. Pengambilan sampel dalam penelitian ini menggunakan metode simple random sampling (pengambilan sampel secara acak) dengan menggunakan teknik probability sampling terhadap 454 pengguna. Teknik analisis yang digunakan adalah analisis Regresi Linier Sederhana dengan alat bantu software SPSS 26.0 for Windows. Hasil temuan penelitian ini menunjukan bahwa gambaran influencer marketing terhadap customer-based brand equity berada pada kategori baik. Influencer marketing memiliki pengaruh yang positif dan signifikan terhadap customer-based brand equity. berdasarkan hasil survei tersebut, penulis merekomendasikan beberapa hal mengenai dampak dari influencer marketing terhadap customer-based brand equity. Variabel influencer marketing dengan dimensi terhedah: attractive, dan variabel customer-based brand equity dengan variabel terendah: brand performance. Oleh karena itu, penulis memiliki rekomendasi supaya perusahaan Vivo Indonesia dapat memperlakukan pelanggan dengan tepat, memberikan penyelesaian atau solusi masalah dengan tepat dan akurat, mengapresiasi pelanggan, menghormati pelanggan, menjaga kenyamanan pelanggan, dan menjaga loyalitas pelanggan dengan baik serta memberikan pelayanan yang bermanfaat sehingga mempermudah pelanggan dalam penggunaan produk Vivo Indonesia. Kata kunci: Influencer Marketing, Customer-Based Brand Equity, Smartphone ABSTRACT Iqbal Fadlil Abdillah (1806116), The Effect of Influencer Marketing on Customer-Based Brand Equity (Survey of Vivo Indonesia's Instagram Followers) under the guidance of Drs. Girang Razati, M.Si. and Dita Amanah, Dr., MBA. This study aims to determine the effect of influencer marketing on customer-based brand equity. The type of research used is descriptive verification, namely by describing and explaining the variables studied and then drawing conclusions. The dependent variables in this study are customer-based brand equity (Y), and influencer marketing (X) as independent variables. The population in this research is Vivo Indonesia's Instagram Followers. Sampling in this study using simple random sampling method (random sampling) using probability sampling technique on 454 users. The analysis technique used is Simple Linear Regression analysis with SPSS 26.0 for Windows software tools. The findings of this study indicate that influencer marketing's description of customer-based brand equity is in the good category. Influencer marketing has a positive and significant influence on customer-based brand equity. based on the survey results, the authors recommend a number of things regarding the impact of influencer marketing on customer-based brand equity. The influencer marketing variable with the lowest dimension: attractive, and the customer-based brand equity variable with the lowest variable: brand performance. Therefore, the author has recommendations so that the Vivo Indonesia company can treat customers appropriately, provide appropriate and accurate resolution or problem solutions, appreciate customers, respect customers, maintain customer comfort, and maintain customer loyalty properly and provide useful services to make it easier customers in using Vivo Indonesia products. Keywoard: Influencer Marketing, Customer-Based Brand Equity, Smartphon
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