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Rancang Bangun Sistem Informasi Manajemen Pasien Puskesmas Alalak Tengah Muhammad Alkaff
Buletin Profesi Insinyur Vol 4, No 1 (2021): Buletin Profesi Insinyur (Januari-Juni)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/bpi.v4i1.65

Abstract

Pelayanan kesehatan pada puskesmas merupakan garda terdepan untuk melaksanakan pelayanan publik. Puskesmas Alalak Tengah merupakan puskesmas yang ramai dikunjungi oleh pasien. Akan tetapi, dikarenakan pelayanan pasiennya masih dilakukan secara manual mengakibatkan pasien terlambat dilayani terutama dalam hal pendataan pasien dan system antrian di puskesmas tersebut. Oleh karena itu, diterapkanlah Sistem Informasi Manajemen Pasien pada Puskesmas Alalak Tengah. Aplikasi berbasis web ini dikembangkan dengan menggunakan Framework Laravel dengan metode Extreme Programming. Aplikasi ini dapat mempermudah dan mempercepat proses pelayanan pasien pada Puskesmas Alalak Tengah. Kata kunci: puskesmas, sistem informasi, laravel, extreme programming
The Effect of Heparinoid as Systemic Prophylactic Anticoagulants on COVID-19 Patient Mortality and Its Safety Profiles: A Systematic Review and Meta-Analysis Anggarany, Ariska Deffy; Sauriasari, Rani; Alkaff, Muhammad; Takhwifa, Famila; Nufus, Hayatun; Paramita, Diana
Pharmaceutical Sciences and Research Vol. 8, No. 3
Publisher : UI Scholars Hub

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Abstract

Coagulopathy is one of the complications of COVID-19 and is associated with a higher risk of mortality. However, evidence regarding the effectiveness and safety of anticoagulant therapy in various doses among COVID-19 patients is limited. This systematic review and meta-analysis aims to review and explore the effect of using heparinoids as a systemic anticoagulant at prophylactic doses on mortality in COVID-19 patients. Systematic searches were conducted of various databases (Pubmed, ScienceDirect, SpringerLink, Scopus, and ProQuest) covering the period 2019-2021. We assessed the quality of the articles using the STROBE checklist. Studies with a high risk of bias were excluded before pooled effect size was synthesized with 95% confidence intervals (CI) using random-effects models. From the 12 identified studies (N=8,968), six observational studies (N=7,176) were involved in the meta-analysis. The studies reviewed in the paper used a retrospective cohort design in various settings. The pooled effect size of mortality comparing prophylactic anticoagulant and no anticoagulant in three studies showed that there was an association between using prophylactic anticoagulant and a lower risk of in-hospital mortality (pooled OR= 0.47; 95% CI 0.19-0.76). A prophylactic dose of heparinoid anticoagulant was also associated with lower mortality (pooled OR= 0.51; 95% CI 0.21-0.82) and with lower bleeding events compared to intermediate-to-therapeutic dose anticoagulants. Administration of heparinoid anticoagulants at prophylactic doses was associated with reduced mortality risk in hospitalized COVID-19 patients. Due to the increased risk of bleeding with therapeutic doses, the use of prophylaxis anticoagulant is suggested in COVID-19 patients who are not critically ill.
Analisis Faktor Penerimaan Dan Penggunaan Aplikasi Palui Baiman Menggunakan Technology Acceptance Model (TAM) Husnul Khatimi; Muhammad Alkaff; Muhammad Ridho A.G.D.
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 11, No 2 (2022): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v11i2.1275

Abstract

The application of E-Government is a solution about how efforts to increase and benefit are obtained by the community from public services designed by the government under Mayor Regulation Number 41 of 2018 concerning E-Government Implementation utilizing Information Technology by forming an Android-based information system with the name Application Integrated Kelurahan Administration Services or can be called the "Palui Baiman" application. The Palui Baiman application is an application that can facilitate the means of submitting letters at the village level. The problem that arises is how the Palui Baiman application can be accepted by the people of Banjarmasin City. The objectives achieved in this study were to determine the level of acceptance and use of the people of Banjarmasin City towards the Palui Baiman application by applying the Technology Acceptance Model (TAM) and using the usefulness and convenience variables integrated with the acceptance variable. Based on the results of the analysis by applying multiple linear regression testing, it was concluded that the Palui Baiman application was able to increase public acceptance and use with the Banjarmasin City Government raising the value of ease of use of the application with the results obtained of 0.016.
Rancang Bangun Sistem Identifikasi Arus Lalu Lintas pada Simpang Tiga Menggunakan Database NoSQL Alkaff, Muhammad; Radam, Iphan Fitrian; Sugiantoro, Sugiantoro
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 2 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i2.2567

Abstract

T-junction is one of the types of intersections that often results in congestion, and long queues. Therefore, it is necessary to identify the traffic flow to determine vehicles per hour, Passenger Car Unit (PCU) per hour, traffic fluctuations, vehicle composition, trip composition and traffic flow at peak hours at T-junction. The process of identifying traffic flow is complex and involves many variables. The process is currently still using Microsoft Excel which requires a lot of time and energy and allows for human error. Therefore, the purpose of this research is to design and build a traffic flow identification system at T-junction using NoSQL database. NoSQL is useful for complex data because NoSQL eliminates repetitive data. The results of this research are the traffic flow identification system at T-junction using NoSQL database which consists of vehicles per hour, PCU per hour, traffic fluctuations, vehicle composition, trip composition, and traffic flow during peak hours.
Penerapan Metode XGBoost Untuk Memprediksi Jumlah Kejadian Kecelakaan Lalu Lintas di Kota Banjarmasin Muhammad Alkaff; Andreyan Baskara; Ainiyyah Ainiyyah
Generation Journal Vol 7 No 1 (2023): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v7i1.19807

Abstract

Setiap tahunnya terjadi kecelakaan lalu lintas seperti yang tercatat pada data dari Polisi sejak tahun 2016 sampai dengan 2020 yang ditambah dengan data dari sosial media pada tahun 2021 sampai bulan Oktober. Selain berdasarkan data kecelakaan lalu lintas terdapat juga hal yang dapat mempengaruhi terjadinya kecelakaan seperti curah hujan. Berdasarkan permasalahan tersebut, penelitian ini akan melakukan prediksi terhadap jumlah kejadian kecelakaan lalu lintas yang akan terjadi di kota Banjarmasin menggunakan metode XGBoost. Data yang telah dikumpulkan akan diolah dalam rentang waktu bulanan serta pengujian model menggunakan dua metode yaitu RMSE untuk melihat tingkat error rate hasil prediksi dengan nilai nyata dan R-Squared atau R2 untuk melihat korelasi kecelakaan dengan curah hujan. Hasil penelitian menunjukkan metode XGBoost mendapatkan nilai RMSE sebesar 0.120 pada data per hari dengan variabel kecelakaan saja sedangkan nilai R2 mendapatkan 0.19 pada data per 4 bulan kebelakang dengan variabel kecelakaan dan curah hujan.
Validation of ARISCAT Model Score to Predict PostoperativePulmonary Complications in Tertiary Referral Hospital inIndonesia Alkaff, Muhammad; Pitoyo, Ceva Wicaksono; Heriwardito, Aldy; Koesnoe, Sukamto
Jurnal Penyakit Dalam Indonesia Vol. 6, No. 1
Publisher : UI Scholars Hub

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Abstract

Introduction. There are several prediction model score instruments that can help to assess pulmonary preoperative evaluation and it is believed that ARISCAT model score is very simple to do and have good performance, but not widely used. This score has not been yet validated in Indonesia. This study aimed to assess the performance of discrimination and calibration of ARISCAT score in predicting postoperative pulmonary complication who underwent surgery in a tertiary referral hospital in Indonesia. Methods. A retrospective cohort study was conducted to assess the external validation of ARISCAT scores in the Indonesian population. This study involved patients underwent surgery at Cipto Mangunkusumo Hospital in 2017. Several variables were collected such as age, oxygen saturation, history of pulmonary infection, anemia, type of surgery, duration of operation, emergency surgery, and PPC that observed within 30 days after surgery. Discrimination was assessed by the area under the curve (AUC). Calibration was assessed by the Hosmer-Lemeshow test and calibration plot. Results. Of 428 patients studied, PPC was observed in 32% of patients. Discrimination of ARISCAT score was shown by AUC value of 88.2% (CI 95%; 84.1-92.2%). Hosmer-Lemeshow test showed p=0.052 and calibration plot revealed coefficient Jurnal Penyakit Dalam Indonesia | Vol. 6, No. 1| Maret 2019 | 3 Uji Validasi Skor ARISCAT dalam Memprediksi Komplikasi Paru Pascaoperasi di RS Rujukan Tersier di Indonesia r=0.968. Conclusion. ARISCAT model score has good discrimination and calibration performance and can be applied in the Indonesian population.