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INDONESIA
Jurnal Riset Informatika
Published by KresnaMedia Publisher
ISSN : 26561743     EISSN : 26561735     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal Riset Informatika, merupakan Jurnal yang diterbitkan oleh Kresnamedia Publisher. Jurnal Riset Informatika, berawal diperuntukan menampung paper-paper ilmiah yang dibuat oleh peneliti dan dosen-dosen program studi Sistem Informasi dan Teknik Informatika.
Arjuna Subject : -
Articles 432 Documents
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DENGUE FEVER CASE PREDICTION MODEL USING LINEAR REGRESSION WITH EXPLANATORY SEQUENTIAL MIXED METHODS APPROACH Chandra, Conchita Junita; Pareira, Yoseph Thobias
Jurnal Riset Informatika Vol. 8 No. 2 (2026): Maret 2026
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v8i2.484

Abstract

Dengue Hemorrhagic Fever (DHF) is an infectious disease in Indonesia, including in Sikka Regency, where the number of cases has increased over the past decade. Predicting the number of DHF cases is crucial to support disease prevention and control policies. This study aims to develop a predictive model for the number of dengue fever cases based on building area, population, and population density, moreover to explain other factors that influence the prediction results. The study uses an explanatory sequential mixed methods approach, and the prediction model is developed using simple linear regression and multiple linear regression. Quantitative data were obtained from the Health Office, the Sikka Regency Statistics Office, and Google Earth; while qualitative data were obtained through interviews with surveillance personnel from the Health Office and several community health centers in the study area, using a purposive sampling technique. The results show that the building area has a weak relationship with the number of DHF cases (R² = 0.10334 for Alok Timur sub-district and R2=0.38055 for Waiblama). After adding the population and population density variables, the R² in Alok Timur increases to 0.46974; and R2=0.41024 for Waiblama; however, the accuracy is still low. The interviews results show that community behavior is the dominant factors of DHF cases. This study indicates that predictive models based on physical environmental and population variables are unable to accurately depict the complexity of dengue fever case distribution. Therefore, the development of models that integrate community behavioral factors is necessary to provide more accurate predictions.
APPLICATION OF THE FIRST COME FIRST SERVED METHOD IN A WEB-BASED MARRIAGE REGISTRATION SYSTEM Tenri, Tenriangka; Nur Hayati, lilis; Amaliah, Amaliah Faradibah
Jurnal Riset Informatika Vol. 8 No. 2 (2026): Maret 2026
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v8i2.498

Abstract

Marriage registration at the Office of Religious Affairs (KUA) is still largely carried out using conventional methods, which gives rise to various problems such as document accumulation, the risk of file loss, data recording errors, and delays in the verification process, particularly for prospective couples who live far from the KUA office. This process requires prospective couples to visit the KUA office in person and submit physical documents, making it inefficient and ineffective. This study aims to develop a website-based marriage registration system that facilitates online registration for prospective couples and regulates the service order in an orderly and fair. This study applies the First Come First Served (FCFS) method to regulate the order of marriage registration based on the time of registration, ensuring a fair and orderly service process. Furthermore, the system development is carried out using the Waterfall approach, which includes the stages of requirements analysis, system design, implementation, testing, and maintenance. The results show that the website-based marriage registration system operates according to the designed workflow. Alpha testing indicates that all main features function as specified, while beta testing obtained an average score of 4.18 with a percentage of 83.6%, which falls into the good category. These results indicate that the system is well accepted by users and suitable for implementation at the Office of Religious Affairs (KUA).

Page 44 of 44 | Total Record : 432

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