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Failure Factors & Prediction Model of Indonesian Medical Doctor Proficiency & Competency Test (UKMPPD) within COVID-19 Pandemic Salim, Jonathan; Arnindita, Jannatin Nisa; Tandy, Sutiono; Wibisono, Jacobus Jeno; Wibisono, Maria Georgina
Medicinus Vol 11, No 3 (2022): June
Publisher : Fakultas Kedokteran Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/med.v10i1.6990

Background: Coronavirus Disease 2019 drastically modulate the healthcare world. The pandemic's immense transmission and lethality rate enforce the Indonesian Medical Doctor Proficiency & Competency Test to discard practical measures and rely only on a written exam. These with pandemic social and physical restrictions impede prospective doctors’ learning opportunities leading to easier failure. Henceforth, the present study has high urgency to identify and manage failure factors, especially in the pandemic.Methods: The cross-sectional study examines 75 clinical medical students through purposive analysis with an online questionnaire in August 2021. Data are analyzed with Chi-Square, Mann-Whitney, and binary logistics.Result: Respondents have an average age of 24.15 (1.322) years old, majorly female (82.7%), and pass as first takers (86.7%) with 1.27 (0.949) off-campus tutelage. The significant factors for the test failure are depression and economic status. The study developed a failure prediction model with the area under the curve 0.845, cut-off 366.5, 80.0% sensitivity, and 84.6% specificity.Conclusion: Intrinsic, extrinsic, and academic factors have significant roles in the failure outcome. For this reason, preparation is crucial not only among individuals but also institutions. The study also provides feedback about the importance of mental health and economic status for Indonesian medical students

The Calamity Among Medical Students: Sleep Deprivation and Dry Eye Disease Salim, Anastasia Johanna; Salim, Jonathan; Josiah Irma, Josiah x
Medicinus Vol 12, No 1 (2022): October
Publisher : Fakultas Kedokteran Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/med.v10i2.7015

Background: Medical students’ burden upon academic and professional duties often blinded them from attending to themselves. Piling works and nightshifts interfere ferociously with their self-care behavior, including adequate sleep. The matter not only disrupts concentration and consciousness but also tolls the eye by reducing tear secretion. Hence, the present study urgently assesses sleep quality and dry eye disease (DED) among medical students.Methods: The cross-sectional study observed 172 eyes among medical students in Indonesia. We assessed sleep quality and dry eye disease through Pittsburgh Sleep Quality Index and Schirmer test. Independent statistician analyzed the data with chi-square.Result: From the eligible samples, there is a dominancy of females (55.8%) with poor sleep quality (55.2%). There is no significant difference in DED or sleep quality across gender though they lean toward females. Contrarily, poor sleepers significantly correspond to 2.96 times more risk of DED than an adequate sleeper.Conclusions: Medical students’ well-being is crucial. Aside from the academic burden, institutions and individuals shall strongly emphasize better sleep habits and eye care.

Cinema e-Ticket Application Design and Usability Evaluation Using SUS Haryanti, Marta Lenah; Fraderic, Fedelis; Hartono, Sherren; Salim, Jonathan
NUANSA INFORMATIKA Vol. 19 No. 1 (2025): Nuansa Informatika 19.1 Januari 2025
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v19i1.296

The internet has become an essential need in the digital era, facilitating various activities, including e-commerce, supported by advances in Information and Communication Technology (ICT). One form of its implementation is an online cinema ticket booking application, which offers convenience in choosing showtimes, seats, and payments. This study aims to analyze user needs in online cinema ticket booking and design an interface mobile application design that is evaluated using the System Usability Scale (SUS) method. The approach used is User-Centered Design (UCD), which focuses on user experience. The results of the study showed that the evaluation of usability testing with SUS from 30 respondents produced an average score of 81.583 (grade A), which indicates a very good level of application usability. This study recommends the application of the SUS method and the development of a UCD-based design to improve the user experience of the cinema e-ticket application, with the potential for further optimization through variations in evaluation methods and increasing the number of respondents

IMPLEMENTASI MACHINE LEARNING DALAM PENGELOMPOKAN MUSIK MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING Hakim, Bhustomy; Kaunang, Fergie Joanda; Susanto, Cornelius; Salim, Jonathan; Indradjaja, Reynaldi
IDEALIS : InDonEsiA journaL Information System Vol. 8 No. 1 (2025): Jurnal IDEALIS Januari 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v8i1.3357

Music is an inseparable part of everyone's life. Many people listen to music but with different preferences because there are so many different types of music available. Many music streaming platforms compete to make song recommendations that suit their users' preferences but it is still difficult to group the music in them. This study aims to analyze music using the K-Means Clustering algorithm, an unsupervised machine learning method, to group songs based on their features such as tempo, tone, and other elements. This research was conducted in the context of the rapidly growing digitalization of music, where music streaming platforms are increasingly popular and allow for personalization of user preferences. The K-Means algorithm is used to find patterns from various music genres, so that it can provide insight into music trends and listener preferences. This study involves several main stages, including data exploration (Exploratory Data Analysis/EDA), checking for missing values and outliers, and selecting relevant features. Furthermore, the clustering process is carried out using the K-Means algorithm with evaluation through the Elbow and Silhouette methods to determine the optimal number of clusters and assess the quality of clustering. This research is expected to contribute to the development of a better music recommendation system by increasing knowledge in the field of machine learning, especially in the application of the K-Means algorithm for music data clustering.

Failure Factors & Prediction Model of Indonesian Medical Doctor Proficiency & Competency Test (UKMPPD) within COVID-19 Pandemic Salim, Jonathan; Arnindita, Jannatin Nisa; Tandy, Sutiono; Wibisono, Jacobus Jeno; Wibisono, Maria Georgina
Medicinus Vol. 11 No. 3 (2022): June
Publisher : Fakultas Kedokteran Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/med.v10i1.6990

Background: Coronavirus Disease 2019 drastically modulate the healthcare world. The pandemic's immense transmission and lethality rate enforce the Indonesian Medical Doctor Proficiency & Competency Test to discard practical measures and rely only on a written exam. These with pandemic social and physical restrictions impede prospective doctors’ learning opportunities leading to easier failure. Henceforth, the present study has high urgency to identify and manage failure factors, especially in the pandemic.Methods: The cross-sectional study examines 75 clinical medical students through purposive analysis with an online questionnaire in August 2021. Data are analyzed with Chi-Square, Mann-Whitney, and binary logistics.Result: Respondents have an average age of 24.15 (1.322) years old, majorly female (82.7%), and pass as first takers (86.7%) with 1.27 (0.949) off-campus tutelage. The significant factors for the test failure are depression and economic status. The study developed a failure prediction model with the area under the curve 0.845, cut-off 366.5, 80.0% sensitivity, and 84.6% specificity.Conclusion: Intrinsic, extrinsic, and academic factors have significant roles in the failure outcome. For this reason, preparation is crucial not only among individuals but also institutions. The study also provides feedback about the importance of mental health and economic status for Indonesian medical students

The Calamity Among Medical Students: Sleep Deprivation and Dry Eye Disease Salim, Anastasia Johanna; Salim, Jonathan; Josiah Irma, Josiah x
Medicinus Vol. 12 No. 1 (2022): October
Publisher : Fakultas Kedokteran Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/med.v10i2.7015

Background: Medical students’ burden upon academic and professional duties often blinded them from attending to themselves. Piling works and nightshifts interfere ferociously with their self-care behavior, including adequate sleep. The matter not only disrupts concentration and consciousness but also tolls the eye by reducing tear secretion. Hence, the present study urgently assesses sleep quality and dry eye disease (DED) among medical students.Methods: The cross-sectional study observed 172 eyes among medical students in Indonesia. We assessed sleep quality and dry eye disease through Pittsburgh Sleep Quality Index and Schirmer test. Independent statistician analyzed the data with chi-square.Result: From the eligible samples, there is a dominancy of females (55.8%) with poor sleep quality (55.2%). There is no significant difference in DED or sleep quality across gender though they lean toward females. Contrarily, poor sleepers significantly correspond to 2.96 times more risk of DED than an adequate sleeper.Conclusions: Medical students’ well-being is crucial. Aside from the academic burden, institutions and individuals shall strongly emphasize better sleep habits and eye care.

Does Duration of Wearing Face Masks Cause Dry Eye Disease Among Medical Students in Indonesia: A Cross Sectional Study Angelius, Chelsie; Irma, Josiah; Onasis, Serena; Rizki, Saraswati Anindita; Budimulia, Patricia; Salim, Jonathan; Lesmana, Maria Vashti Zerlinda
Oftalmologi : Jurnal Kesehatan Mata Indonesia Vol 7 No 2 (2025): Oftalmologi: Jurnal Kesehatan Mata Indonesia
Publisher : Pusat Mata Nasional Rumah Sakit Mata Cicendo Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ojkmi.v7i2.86

Introduction: During the COVID-19 pandemic, infection control protocols required universal mask use. At the same time, increased reports of dry eye symptoms emerged. Prior studies showed inconsistent results. This study aims to clarify the association, hypothesizing that prolonged mask wearing is linked to a higher risk of dry eye disease. Methods: This study is an analytical comparative cross-sectional study. The purposive sampling technique was used to collect samples. To diagnose dry eye disease, the Ocular Surface Disease Index (OSDI) questionnaire was used. The cut off score we used is >12 points in OSDI. Two categories were established to assess mask usage duration: <6 hours or ≥ 6 hours per day. Data were collected in January 2023 from 278 respondent medical students in Tangerang, Indonesia. Bivariate chi-square data analysis was performed using SPSS 25.0 software. Discussion: 82 respondents (29.5%) experienced dry eye disease, and 221 respondents (79.5%) used masks for ≥ 6 hours during effective working days along the week. No significant relationship was found between both variables. (OR = 0,883; 95% CI: 0.471-1.658; p = 0.669). Results: There was no association between using masks for a longer period of time to dry eye disease.

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