Studi Kasus Dampak Penerapan E-Government Terhadap Generation Z di Kota Palembang

Teknologi informasi mengalami perkembangan yang sangat pesat. Kementerian Komunikasi dan Informatika (Kemkominfo) menemukan bahwa 98 persen dari anak-anak dan remaja tahu tentang internet dan 79,5 persen diantaranya adalah pengguna internet. Pengaruh e- government pada generasi Z di Kota Palembang sudah berjalan dengan baik dari segi quality of public servise, trust, e-service quality, Perceived Usefulness. Jenis penelitian yang digunakan pada research ini adalah menggunakan quantitative research yang merupakan proses untuk menentukan pengetahuan yang menggunakan data berupa angka sebagai alat ukurnya. dari hasil uji terhadap 4 dimensi quality of public servise, trust, e-service quality, Perceived Usefulness pada ketiga e-government channel yang ada di Kota Palembang berbasis mobile, website, dan social media. E-government channel mobile mempunyai impact of e-government tertinggi dengan rata-rata persentase 98% dan Impact of e-government pada e-government channel social media mendapatkan hasil terendah dengan persentase 95%

Prediksi Kebutuhan Alat Kesehatan Rumah Sakit Menggunakan Metode Algoritma Regression Linier dan Naïve Bayes

 The hospital is a health service institution for the community with its own characteristics that require a variety of resources in carrying out its activities. One of the most important is health equipment. Medical devices are supporting aspects that support the implementation of health services. PALI Regional General Hospital is a Type D hospital, which needs to manage its medical devices. Kepmenkes Regulation No. 004 / MENKES / SK / 1/2003 concerning health policy and strategy on decentralization in the health sector states that one of the strategic objectives is the effort to organize health management in the decentralization era is to develop sub-systems of maintenance and optimization of utilization of health facilities and equipment. The amount of medical device data can only be estimated from the many or at least the available medical devices (stock), because the needs of each year are different. This results in not all the needs of medical devices being met and often additional stocks occur while the amount of APBD has been divided for each institution. So to anticipate this it is necessary to predict the need for medical devices in PALI District Hospital. If the status of medical device needs can be predicted early, the hospital can minimize data redundancy (repetition of data) and information can be up to date (update). In this study, the authors will predict medical devices in Pali District Hospital using the classification method in data mining based on the Algortima Linear Regression model to get the most accurate test results.Keywords : Prediction, Medical Devences, Linear Regression Algorithm, Naive Baye

The impact of splenectomy on outcomes after distal and total pancreatectomy

<p>Abstract</p> <p>Background</p> <p>Several authors advocate spleen preserving distal pancreatectomy, because of the increased complication rate after splenectomy.</p> <p>Methods</p> <p>Postoperative complications and survival after distal and total pancreatectomy, were recorded and retrospectively analyzed according to spleen preservation. Patients, who underwent distal and total pancreatectomy without histologically proven adenocarcinoma, or extrapancreatic disease, were included in the cohort which was divided into splenectomy and no splenectomy groups. Statistical analysis was performed using Fisher's test.</p> <p>Results</p> <p>The study group consisted of 62 patients who underwent distal and total pancreatectomy between 26/11/1987 to 6/1/2006. Splenectomy was performed in 35 out of 62 patients (56.5%), distal pancreatectomy was performed in 49 out of 62 patients (79%). Morbidity rate was 28.6% in splenectomy group and 14.8% in the no splenectomy group (p = 0.235), while 30 days mortality rate was 2.9%; one patient died in the splenectomy group (p = 1).</p> <p>Conclusion</p> <p>Spleen-preservation did not influence the outcomes after distal and total pancreatectomy in our series.</p

ANALISIS PENERIMAAN SISTEM UJIAN ONLINE BERBAYAR DENGAN MENGGUNAKAN METODE TECHNOLOGY ACCEPTANCE MODEL (TAM) DAN WEBQUAL

Technology Acceptance Model (TAM) dan Webqual merupakan teori penerimaan&nbsp; teknologi yang digunakan dalam penelitian ini. Terdapat lima konstruk yang&nbsp; digunakan dan merupakan gabungan dari konstruk-konstruk asli yang terdapat dalam TAM dan Webqual. Kelima konstruk tersebut adalah kemudahan pengguna persepsi (perceived ease of use / PEOU), kegunaan persepsi (perceived&nbsp; usefulness / PU), kualitas interaksi layanan&nbsp; (Service Interaction Quality of Website/ Web-SQ), kualitas informasi (Information Quality of Website/ Web-IQ), dan minat perilaku menggunakan teknologi (behavioral intention to use / BIUS). Model gabungan ini selanjutnya digunakan untuk meneliti sistem ujian online berbayar dengan studi kasus qualitiva.id. Penelitian ini selanjutnya akan menjelaskan tentang penerimaan sistem ujian online berbayar&nbsp; pada pelajar, mahasiswa dan masyarakat umum. Jenis penelitian yang digunakan dalam penelitian ini adalah penelitian eksplanatori dengan teknik analisis data menggunakan pendekatan PLS. Data diperoleh dari responden yang merupakan siswa LKP PalComTech Palembang dengan menyebarkan kuesioner tertutup. Terdapat 142 sampel penelitian yang dianalisis menggunakan metode PLS dengan software smartPLS. Berdasarkan hasil analisis data diperoleh hasil sebagai berikut: (1) Konstruk PEOU mempengaruhi konstruk AT; (2) Konstruk PU mempengaruhi konstruk AT; (3) Konstruk AT pengaruh terhadap konstruk BIUS; (4) Konstruk Web-SQ&nbsp; tidak memiliki&nbsp; pengaruh&nbsp; terhadap&nbsp; konstruk BIUS;&nbsp; (5)&nbsp; Konstruk Web-IQ mempengaruhi konstruk BIUS; dan (6) Konstruk BIUS tidak memiliki pengaruh terhadap konstruk BV;. Selain itu koefisien variabel laten PU terhadap AT memiliki nilai paling besar diantara nilai koefisien variabel laten pada model hubungan antar konstruk lainny

Collagen fleece-bound fibrin sealant is not associated with an increased risk of thromboembolic events or major bleeding after its use for haemostasis in surgery: a prospective multicentre surveillance study

BACKGROUND: Topical haemostatic agents are used to help achieve haemostasis during surgery when standard surgical techniques are insufficient. The objective of this study was to confirm the safety profile of an equine collagen patch coated with human fibrinogen and human thrombin with particular focus on the occurrence of thromboembolic events (TEEs), major bleeding and immunological events. METHODS: This was a non-interventional, multicentre, prospective, surveillance study in which a collagen fleece-bound fibrin sealant was prescribed in accordance with its marketing authorisation. The decision to use the sealant was based solely on current surgical practice. All patients that received the sealant and provided informed consent were included. TEEs (any coagula-based occlusion in a vessel or the heart identified by symptomatic clinical signs and/or verified by paraclinical examination), major bleeding (any bleeding that required intervention), and immunological events (hypersensitivity including anaphylaxis) that occurred during surgery, post-operative hospital stay or 6 months of follow-up were reported as adverse events. The primary endpoint was the proportion of patients experiencing a confirmed TEE. RESULTS: A total of 3098 patients were recruited at 227 centres in 12 European countries. The most frequent types of surgery were hepatic (33%), gastrointestinal (16%) and urological (14%) and the main indication for surgery was for primary (35%) or secondary (20%) malignancy. Forty-six patients (1.5%, 95% CI 1.1–2.0%) had at least one TEE during the study. The most commonly reported TEEs were pulmonary embolism or post-procedural pulmonary embolism (n = 18) and deep vein thrombosis (n = 9). There were 64 major bleedings in 62 patients and 9 immunological events in 8 patients. CONCLUSION: Collagen fleece-bound fibrin sealant does not appear to be associated with an increased risk of TEEs, major bleeding or immunological events in patients undergoing surgery. TRIAL REGISTRATION: Clinicaltrials.gov number: NCT0028562

Application of Portsmouth modification of physiological and operative severity scoring system for enumeration of morbidity and mortality (P-POSSUM) in pancreatic surgery

<p>Abstract</p> <p>Background</p> <p>Pancreatoduodenectomy (PD) is associated with high incidence of morbidity and mortality. We have applied P-POSSUM in predicting the incidence of outcome after PD to identify those who are at the highest risk of developing complications.</p> <p>Method</p> <p>A prospective database of 241 consecutive patients who had PD from January 2002 to September 2005 was retrospectively updated and analysed. P-POSSUM score was calculated for each patient and correlated with observed morbidity and mortality.</p> <p>Results</p> <p>30 days mortality was 7.8% and morbidity was 44.8%. Mean physiological score was 16.07 ± 3.30. Mean operative score was 13.67 ± 3.42. Mean operative score rose to 20.28 ± 2.52 for the complex major operation (p < 0.001) with 2 fold increase in morbidity and 3.5 fold increase in mortality. For groups of patients with a physiological score of (less than or equal to) 18, the O:P (observed to Predicted) morbidity ratio was 1.3–1.4 and, with a physiological score of >18, the O:P ratio was nearer to 1. Physiological score and white cell count were significant in a multivariate model.</p> <p>Conclusion</p> <p>P-POSSUM underestimated the mortality rate. While P-POSSUM analysis gave a truer prediction of morbidity, underestimation of morbidity and potential for systematic inaccuracy in prediction of complications at lower risk levels is a significant issue for pancreatic surgery</p