scholarly journals Query Suggestion on Drugs e-Dictionary Using the Levenshtein Distance Algorithm

Author(s):  
Halimah Tus Sadiah ◽  
Muhamad Saad Nurul Ishlah ◽  
Nisa Najwa Rokhmah

Dictionary of medicine in the form of a thick book has many disadvantages, one of which is impractical. This is the reason for Indonesian developers to create drugs e-Dictionary. But the drugs e-Dictionary that has been developed is still in the form of a letter index so that users must search the terms one by one in sequential order. This has become so inefficient and ineffective that it is necessary to add a search function and query suggestion feature to the drug e-dictionary. The purpose of this study is to build a query suggestion facility on drugs e-Dictionary using the Levenshtein Distance algorithm. The stages of this research consist of the Development of web-based drugs e-Dictionary, Implementation of the Levenshtein Distance Algorithm, Query Suggestion Testing, and Usage. Based on the results of the implementation of the Levenshtein Distance algorithm and test results, Drugs e-Dictionary can evaluate words that are not in the database. The query suggestion function works by producing the closest word output contained in the database.

2007 ◽  
Vol 9 (1) ◽  
pp. 95-98 ◽  
Author(s):  
Matthew J. McGinniss ◽  
Rebecca Chen ◽  
Victoria M. Pratt ◽  
Arlene Buller ◽  
Franklin Quan ◽  
...  

2021 ◽  
Vol 5 (6) ◽  
pp. 1099-1105
Author(s):  
Desta Yolanda ◽  
Mohammad Hafiz Hersyah ◽  
Eno Marozi

Security monitoring systems using face recognition can be applied to CCTV or IP cameras. This is intended to improve the security system and make it easier for users to track criminals is theft. The experiment was carried out by detecting human faces for 24 hours using different cameras, namely an HD camera that was active during the day and a Night Vision camera that was active at night. The application of Unsupervised Learning method with the concept of an image cluster, aims to distinguish the faces of known or unknown people according to the dataset built in the Raspberry Pi 4. The user interface media of this system is a web-based application built with Python Flask and Python MySQL. This application can be accessed using the domain provided by the IP Forwarding device which can be accessed anywhere. According to the test results on optimization of storage, the system is able to save files only when a face is detected with an average file size of ± 2.28 MB for 1x24 hours of streaming. So that this storage process becomes more efficient and economical compared to the storage process for CCTV or IP cameras in general.


INFO-TEKNIK ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 35
Author(s):  
Silvia Ratna

Implementation of the final project or thesis for students is a tiered process and bound to one another. Starting from the stage of proposal submission, proposal presentation, research implementation, report making up to thesis examination students. At present, the implementation of the thesis trial evaluation at the Information Technology Faculty of the Islamic University of Kalimantan Muhammad Arsyad Al Banjari Banjarmasin is still manual, where when the presentation of proposals and panelists thesis examinations or examiners are given an assessment form using paper media. This assessment form is then recapitulated into a spreadsheet form the results are announced to students. This is less effective, especially when many students take thesis courses. For this reason, in this study, a thesis evaluation information system was created, to help all stages of the thesis evaluation process. To facilitate the accessibility of the system made web-based and integrated with existing academic systems. From the test results concluded, the system can run by the design and reports produced by the system following the processes that are running now.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 2008-2008
Author(s):  
Angela R. Bradbury ◽  
Ju-Whei Lee ◽  
Jill B Gaieski ◽  
Shuli Li ◽  
Ilana F Gareen ◽  
...  

2008 Background: Enthusiasm for precision oncology may obscure the complex psychosocial and ethical considerations for tumor genetic testing. Low patient genetic knowledge has been documented and heightens the risk for adverse experiences. We developed a web-based intervention to increase genetic knowledge and decrease distress among advanced cancer patients undergoing tumor genetic testing. Methods: 594 patients (80% from NCORP Community Sites) were recruited and randomized to web-intervention (n = 293) or usual care (n = 301), prior to receipt of tumor genetic test results. Primary outcomes were genetic knowledge, anxiety, depression, and cancer-specific distress measured at T0 (prior to intervention), T1 (post-intervention), T2 (after receipt of tumor results) and T3 (3 months post receipt of tumor results). Secondary outcomes included satisfaction, regret and disappointment. The effect of web-intervention was evaluated using t-test, multiple linear regression and logistic regression, with an intent-to-treat approach. Results: Patients randomized to web-intervention had better knowledge improvement than those randomized to usual care (T1-T0, p < 0.0001; T2-T0, p = 0.003). No difference was observed in change scores for anxiety, depression or cancer-specific distress. To find the moderators of intervention effect (including sex, age, education, and literacy) two 2-way interactions were noted with statistical significance: higher depression among those in the intervention arm versus the control arm for patients with lower literacy (p = 0.03); and lower cancer-specific distress among women in the intervention arm than with usual care but no such effect noted in men (p = 0.01). 71% of patients reported receiving tumor test results and this did not differ by arm. Only 20% of patients reported regret and disappointment at T2, which was more likely for those without a mutation of interest (MOI) detected vs those with a MOI detected (OR = 2.08, 95% CI, 1.13 to 3.83, p = 0.02). Conclusions: Web-based education prior to receipt of tumor genetic test results increases patient understanding of tumor genetic testing. While the intervention did not significantly reduce distress, results suggest that women who received the intervention had lower cancer-specific distress than those with usual care. Future refinements to the web-intervention are needed to address low literacy groups, men and patients with no actionable results. Clinical trial information: NCT02823652.


2014 ◽  
Vol 22 (2) ◽  
pp. 380-389 ◽  
Author(s):  
Kim M Nazi ◽  
Carolyn L Turvey ◽  
Dawn M Klein ◽  
Timothy P Hogan ◽  
Susan S Woods

Abstract Objective To explore the experience of early patient adopters who accessed their clinical notes online using the Blue Button feature of the My HealtheVet portal. Methods A web-based survey of VA patient portal users from June 22 to September 15, 2013. Results 33.5% of respondents knew that clinical notes could be viewed, and nearly one in four (23.5%) said that they had viewed their notes at least once. The majority of VA Notes users agreed that accessing their notes will help them to do a better job of taking medications as prescribed (80.1%) and be better prepared for clinic visits (88.6%). Nine out of 10 users agreed that use of visit notes will help them understand their conditions better (91.8%), and better remember the plan for their care (91.9%). In contrast, 87% disagreed that VA Notes will make them worry more, and 88.4% disagreed that access to VA Notes will be more confusing than helpful. Users who had either contacted their provider or healthcare team (11.9%) or planned to (13.5%) primarily wanted to learn more about a health issue, medication, or test results (53.7%). Conclusions Initial assessment of the patient experience within the first 9 months of availability provides evidence that patients both value and benefit from online access to clinical notes. These findings are congruent with OpenNotes study findings on a broader scale. Additional outreach and education is needed to enhance patient awareness. Healthcare professionals should author notes keeping in mind the opportunity patient access presents for enhanced communication.


2014 ◽  
Vol 45 (4) ◽  
pp. 347-360
Author(s):  
Andres E. Quesada ◽  
Christine E. Jabcuga ◽  
Alex Nguyen ◽  
Amer Wahed ◽  
Elena Nedelcu ◽  
...  

bit-Tech ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 131-145
Author(s):  
Aditiya Hermawan ◽  
Evan

Tourism is one of the important economic sectors in Indonesia that needs to be developed. This is based on data of the number of tourist visits from “Kementrian Pariwisata Republik Indonesia” website that the number of tourists in Indonesia is very much and continues to increase over time. Due to the increasing number of tourist visits from various places, makes many entrepreneurs are competing to establish a hotel as a place of business with variety of  price, class, facility and service. Then, the growth of the hotels became very rapid. With so many choices of the hotels, of course it will cause a problems for tourists to decide which hotel is suitable with the desired criteria. With the development of information technology in this era of globalization, technology should be utilized to solve this problem as a decision support system that can recommend which hotel is the most suitable from the tourist desires. The hotel data to be used in this research comes from hotel search site. The methods used for this decision support system are SAW and TOPSIS methods. The reason for using this methods is because SAW has the ability to assess more accurately because it is based on criteria and the computation of TOPSIS method is efficient and fast. The criteria used on choosing the hotel are price, facilities and class. The results of this research has been generated as a web-based application for hotel recommendation. Based on the test results of this hotel recommendation system application, this application works as expected.


2019 ◽  
Vol 36 (1) ◽  
pp. 71-78
Author(s):  
Neng Sri Nuraeni

Abstract. The Fast and accurate information is a major requirement in terms of service. Puslitpen as a research institute of the Syarif Hidayatullah State Islamic University (UIN Syahid) Jakarta needs to be supported by a fast and accurate and web-based system. The purpose of this study is to look at the effect of the online research registration system and the committee's performance on user satisfaction. This research refers to Setia, et.al (2011); Nur Subchan, et.al (2012); Gatian, Amy W (1994). The population in this study is the registrar of research assistance proposal for the Research Center for UIN Syahid Jakarta. This study uses cluster sampling in determining the selected sample. The analytical method used is multiple regression. Based on the results of the study showed that the F test results obtained Fcount value of 82.117> Ftable of 3.15 with a significance level of 0.000 <0.05. Because the significance level is less than 0.05 then Ha is accepted, so it can be said that the online registration system and the committee's performance affect the user's satisfaction simultaneously. The contribution of this study has a significant impact on improving the registration system services at the UIN Syahid Research Center in Jakarta.Abstrak. Informasi yang cepat dan akurat merupakan kebutuhan utama dalam hal pelayanan. Puslitpen sebagai lembaga penelitian Universitas Islam Negeri Syarif Hidayatullah (UIN Syahid) Jakarta perlu didukung oleh sistem yang cepat dan akurat serta berbasis web. Tujuan penelitian ini adalah melihat pengaruh sistem pendaftaran online penelitian dan kinerja panitia terhadap kepuasan pengguna. Penelitian ini merujuk pada Setia, et.al (2011); Nur Subchan, et.al (2012); Gatian, Amy W (1994). Populasi dalam penelitian ini adalah pendaftar proposal bantuan biaya penelitian Puslitpen UIN Syahid Jakarta. Penelitian ini menggunakan cluster sampling dalam menentukan sampel yang dipilih. Metode analisis yang digunakan adalah regresi berganda. Berdasarkan hasil penelitian menunjukkan bahwa dari hasil uji F diperoleh nilai Fhitung sebesar 82,117 > Ftabel sebesar 3,15 dengan tingkat signifikansi 0,000 < 0,05. Karena tingkat signifikansi lebih kecil dari 0,05 maka Ha diterima, sehingga dapat dikatakan bahwa sistem pendaftaran online dan kinerja panitia berpengaruh terhadap kepuasana pengguna secara simultan. Kontribusi penelitian ini berdampak signifikan pada perbaikan layanan sistem pendaftaran di Puslitpen UIN Syahid Jakarta. 


SISTEMASI ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 394
Author(s):  
Deny Jollyta

AbstrakPerangkat lunak merupakan alat bantu yang memudahkan pengguna dalam pengolahan data dengan cepat dan tepat. Para pengambil keputusan membutuhkan alternatif perangkat lunak yang dapat digunakan setiap saat dengan teknik klasifikasi data algoritma C5.0 sesuai kriteria yang diinginkan. Namun perangkat lunak yang ada umumnya terdiri dari sejumlah teknik dan belum dapat digunakan secara online. Sebagai salah satu algoritma klasifikasi yang popular dalam ilmu data mining, C5.0 dapat memberikan hasil yang lebih baik. Penelitian bertujuan untuk membangun perangkat lunak yang dapat melakukan klasifikasi data menggunakan algoritma C5.0 berbasis web. Perangkat lunak dapat digunakan oleh siapa saja, terutama para pengambil keputusan. Penelitian ini juga dilengkapi dengan pengujian perangkat lunak usability sebelum digunakan. Hasil pengujian memperlihatkan bahwa perangkat lunak yang dibangun dapat diterima dengan nilai usability 76,892% dan berada pada predikat Baik. Diharapkan melalui penelitian ini, dapat memberikan alternatif perangkat lunak yang mampu menyelesaikan masalah klasifikasi menggunakan algoritma C5.0.Kata kunci: perangkat lunak, klasifikasi, algoritma c5.0, usability AbstractSoftware is a tool that makes it easy for users to process data quickly and precisely. Decision makers need an alternative software that can be used at any time with the C5.0 algorithm data classification technique according to the desired criteria. However, the existing software generally consists of a number of techniques and cannot be used online. As one of the popular classification algorithms in data mining science, C5.0 can provide better results. This study aims to build software that can classify data using the web-based C5.0 algorithm. Software can be used by anyone, especially decision makers. This research is also complemented by testing Usability software before used. The test results showed that the software built can be accepted with a Usability value of 76.892% and is in the Good predicate. It is hoped that through this research, it can provide alternative software that is able to solve classification problems using the C5.0 algorithm.Keywords: software, classification, c5.0 algorithm, usability


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