Journal of Medical Record and Infomation Technologi (JOMRIT)
type: channel
description: Journal Title Journal of Medical Records and Information Technology(JOMRIT) ISSN E-ISSN: xxxx-xxxx|| P-ISSN:xxxx-xxxx DOI Prefix by Editor in Chief Chamy Rahmatiqa, M.PH Publisher Stikes Syedza Saintika Padang Frequency 2 issues per year Citation Analysis Google Scholar | Garuda Journal of Medical Record and Infomation Technologi (JOMRIT) is an journal which provides a platform to scientist and researchers all over the world for the dissemination of knowledge in Health Information Management , medical record and related fields, especially in health information management studies, Classification of Codification of Diseases and Actions, Health Information Systems, Health Information Technology, Health Information Quality Management. JOMRIL is published twice a year (June and December).
publisher: Universitas Syedza Saintika
language: en-US
publication name: Journal of Medical Record and Infomation Technologi (JOMRIT)
items: Implementation of the Naïve Bayes Algorithm to Predict the Severity Status of Tuberculosis Patients in Dr. M. Djamil Central General Hospital
items: Analysis of Compliance and Knowledge Factors Regarding the Completeness of Medical Records
items: Effect of Medical Record Completeness and Timeliness on Inpatient Claim Processing at a Primary Healthcare Facility
items: FACTORS RELATED TO PENDING INPATIENT CLAIM AT SEMEN PADANG HOSPITA
items: Factors Related to Compliance in Paying BPJS Kesehatan Contributions among Self-Paying Outpatients at Sijunjung District Hospital, 2024

Implementation of the Naïve Bayes Algorithm to Predict the Severity Status of Tuberculosis Patients in Dr. M. Djamil Central General Hospital
type: item
description: Tuberculosis (TB) remains a serious public health issue in Indonesia, including in Padang City. Accurate and timely intervention is crucial, especially in predicting the severity status of TB patients to enable faster and more appropriate medical responses. Currently, hospital systems still face limitations in classifying the severity status of TB patients, which may result in delayed treatment. This study aims to apply the Naïve Bayes Classifier (NBC) algorithm to predict the severity status of TB patients in Padang City. The medical record data used were obtained from Dr. M. Djamil Central General Hospital and Dr. Rasidin Regional General Hospital, consisting of 227 TB patient records from April to June 2024. The dataset includes 13 attributes, such as gender, age, type of cough, shortness of breath, chest pain, and severity status as the class attribute. The results show that the NBC algorithm achieved an accuracy of 71.81% in predicting patient severity status. This study is expected to support healthcare professionals in making more informed decisions for patient management planning.
creator: Nurul Abdillah
creator: Alfita Dewi
creator: Herman Susilo
creator: Dede Fauzi
rights: Copyright (c) 2025 Journal of Medical Record and Infomation Technologi (JOMRIT)
date: 2025-08-23
publication date: 2025-08-23
volume: 3
number: 1
starting page: 1
ending page: 7

Analysis of Compliance and Knowledge Factors Regarding the Completeness of Medical Records
type: item
description: Incomplete medical records are one of the problems because medical records are data records that can provide information about actions in patients. The purpose of this study was to determine the factors that affect the completeness of filling inpatient medical records at RSUD dr. Rasidin Padang. This type of research is quantitative research with an observative approach. The sample in this study was 165 medical record files and 43 officers in charge of filling out medical records. The data collection method uses questionnaires and checklist tables. The variables studied were incompleteness of medical records, adherence factors, motivational factors, attitude factors and knowledge factors. The results of the study were from 165 completeness of filling medical records at RSUD dr. Rasidin Padang, there were 90 (54.5) incomplete files in filling medical records, judging from 43 respondents in compliance factors there were 10 (23.3) respondents who did not comply, motivation factors there were 16 (37.2) respondents who were not well motivated, Attitude factor there were 7 (16.3) respondents who had bad attitudes and in knowledge factor there were 14 (32.6) respondents who were not well informed. Judging from these 5 components, in general, Dr. Rasidin Padang Hospital has nothing to do with the completeness of filling out medical records because the data obtained in the questionnaire many officers fill out which is fine, in fact there are still many documents that are complete, filling out medical records is still incomplete.
creator: Alfita Dewi
creator: Ilmu Nuria Sulrieni
creator: Masdalena Masdalena
rights: Copyright (c) 2025 Journal of Medical Record and Infomation Technologi (JOMRIT)
date: 2025-08-23
publication date: 2025-08-23
volume: 3
number: 1
starting page: 8
ending page: 12

Effect of Medical Record Completeness and Timeliness on Inpatient Claim Processing at a Primary Healthcare Facility
type: item
description: <!--[if gte mso 9]><xml> <w:WordDocument> <w:View>Normal</w:View> <w:Zoom>0</w:Zoom> <w:TrackMoves/> <w:TrackFormatting/> <w:DoNotShowRevisions/> <w:DoNotPrintRevisions/> <w:DoNotShowMarkup/> <w:DoNotShowInsertionsAndDeletions/> <w:DoNotShowPropertyChanges/> <w:PunctuationKerning/> <w:ValidateAgainstSchemas/> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:DoNotPromoteQF/> <w:LidThemeOther>MS</w:LidThemeOther> <w:LidThemeAsian>JA</w:LidThemeAsian> <w:LidThemeComplexScript>X-NONE</w:LidThemeComplexScript> <w:Compatibility> <w:BreakWrappedTables/> <w:SnapToGridInCell/> <w:WrapTextWithPunct/> <w:UseAsianBreakRules/> <w:DontGrowAutofit/> <w:SplitPgBreakAndParaMark/> <w:EnableOpenTypeKerning/> <w:DontFlipMirrorIndents/> <w:OverrideTableStyleHps/> <w:UseFELayout/> </w:Compatibility> <w:DoNotOptimizeForBrowser/> <m:mathPr> <m:mathFont m:val="Cambria Math"/> <m:brkBin m:val="before"/> <m:brkBinSub m:val="--"/> <m:smallFrac m:val="off"/> <m:dispDef/> <m:lMargin m:val="0"/> <m:rMargin m:val="0"/> <m:defJc m:val="centerGroup"/> <m:wrapIndent m:val="1440"/> <m:intLim m:val="subSup"/> <m:naryLim m:val="undOvr"/> </m:mathPr></w:WordDocument> </xml><![endif]--><!--[if gte mso 9]><xml> <w:LatentStyles DefLockedState="false" DefUnhideWhenUsed="false" DefSemiHidden="false" DefQFormat="false" DefPriority="99" LatentStyleCount="376"> <w:LsdException Locked="false" Priority="0" QFormat="true" Name="Normal"/> <w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 1"/> <w:LsdException Locked="false" Priority="9" SemiHidden="true" UnhideWhenUsed="true" QFormat="true" Name="heading 2"/> <w:LsdException Locked="false" Priority="9" SemiHidden="true" UnhideWhenUsed="true" QFormat="true" Name="heading 3"/> <w:LsdException Locked="false" Priority="9" SemiHidden="true" UnhideWhenUsed="true" QFormat="true" Name="heading 4"/> <w:LsdException Locked="false" Priority…
creator: Ilma Nuria Sulrieni
creator: Nurul Abdillah
creator: Alfita Dewi
creator: Masdalena Masdalena
creator: Herman Susilo
rights: Copyright (c) 2025 Journal of Medical Record and Infomation Technologi (JOMRIT)
date: 2025-08-23
publication date: 2025-08-23
volume: 3
number: 1
starting page: 13
ending page: 16

FACTORS RELATED TO PENDING INPATIENT CLAIM AT SEMEN PADANG HOSPITA
type: item
description: Semen Padang Hospital still faces many obstacles in the implementation of BPJS claim verification, one of which is claim files that are rejected by verifiers, commonly referred to as pending claims. The purpose of this study is to identify factors associated with pending claims at Semen Padang Hospital in 2025. This study is an analytical observational study with a cross-sectional approach. The population consists of all inpatient BPJS claim documents at Semen Padang Hospital, totaling 1,741, with a sample of 325 documents selected using simple random sampling. Data was collected through observation using a checklist. Based on the research findings, 26 (8.0%) of the inpatient medical records were pending. The pending BPJS inpatient claims at Semen Padang Hospital were due to incomplete claim files (7, 2.2%), incorrect diagnosis codes (10, 3.1%), and incomplete supporting examination files (9, 2.8%). Statistical analysis revealed a significant association between incomplete claim documents and pending claims (p-value = 0.000, p < 0.05). There was also a significant association between incorrect diagnosis codes and pending claims (p-value = 0.000, p < 0.05). There was a relationship between incomplete supporting examination documents and pending claims (p-value = 0.000 (p<0.05). The conclusion of the study was that the causes of pending claims were influenced by incomplete claim documents, inaccurate diagnosis codes, and incomplete supporting examination documents. Before submitting a claim, it is recommended to first check the completeness of the claim documents and supporting examination documents, and pay close attention to the coding process to ensure that the codes are accurate and appropriate.
creator: Denos Imam Fratama
creator: Indah Dwi Septiani
rights: Copyright (c) 2025 Journal of Medical Record and Infomation Technologi (JOMRIT)
date: 2025-08-23
publication date: 2025-08-23
volume: 3
number: 1
starting page: 17
ending page: 20

Factors Related to Compliance in Paying BPJS Kesehatan Contributions among Self-Paying Outpatients at Sijunjung District Hospital, 2024
type: item
description: Compliance in paying contributions reflects the willingness of participants to pay their dues on time according to established regulations. In Sijunjung Regency, as many as 30,917 people (74%) were reported to be non-compliant in paying BPJS Kesehatan contributions. Irregularities in contribution payments among JKN participants can disrupt the sustainability of health service guarantees in available health facilities. This study aimed to analyze factors related to compliance with paying BPJS Mandiri contributions among outpatients at Sijunjung District Hospital in 2024. This research used a quantitative analytical survey with a cross-sectional design. The study population was BPJS Mandiri participants visiting the outpatient installation of Sijunjung District Hospital, with an average of 328 visitors per month. A total of 161 respondents were selected using purposive sampling. Data were collected through structured questionnaires and analyzed using univariate and bivariate analysis with the chi-square test. The results showed that 49.7% of respondents were compliant in paying BPJS Mandiri contributions. Factors significantly related to compliance were knowledge (p=0.000), income (p=0.006), perception (p=0.000), and motivation (p=0.000). These findings indicate that compliance is influenced not only by economic factors but also by cognitive and psychological aspects. It is recommended that BPJS Kesehatan improve the dissemination of information to participants regarding their rights and obligations, particularly about contribution payment schedules, methods, and penalties for arrears. Hospitals are also expected to enhance service quality to maintain participants’ trust and encourage consistent compliance in contribution payments.
creator: Annisa Novita Sary
creator: Neneng Seprianti
creator: Audrey Faiza Rosa
creator: Finy Marsyah
creator: Edison Edison
rights: Copyright (c) 2025 Journal of Medical Record and Infomation Technologi (JOMRIT)
date: 2025-06-23
publication date: 2025-06-23
volume: 3
number: 1
starting page: 21
ending page: 27