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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 417 Documents
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DIGITAL INSTRUMENT FOR INFANT AND TODDLER MORTALITY REVIEW USING USER-CENTERED DESIGN METHOD Royan Dwi Saputra; Rahmat Izwan Heroza; Dwi Rosa Indah; Allsela Meiriza; Pacu Putra; Ermatita Ermatita
Jurnal Riset Informatika Vol 4 No 4 (2022): Period of September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1400.824 KB) | DOI: 10.34288/jri.v4i4.440

Abstract

The Infant Mortality Rate and Toddler Mortality Rate are still relatively high in Indonesia. Data from the South Sumatra Health Office shows a relatively high number of infant and toddler mortality cases in Banyuasin and Musi Banyuasin Regency, with about 68 and 51 cases in 2017. Through the Program Kerja Sama (PKS) of the Family Health Directorate of the Health Ministry of the Republic of Indonesia and the Public Health Faculty of Sriwijaya University, it was found that the problems related to these were triggered by the absence of an instrument in digital form to conduct reviews about infant and toddler issues of mortality at Health Facilities, which were expected to assist in recording and reporting the review process runs more effectively and efficiently. This research uses the User-Centered Design (UCD) method because it optimizes the application prototype according to the needs and desires of the end-user, which in this case is the health worker in the Health Facilities in Banyuasin and Musi Banyuasin Regency. The UCD method phases include understanding the context of use, specifying the user requirements, designing the solutions, and evaluating against requirements. Based on the research that has been done, the results obtained that the average usability score is 94, which means that the prototype of this application has been made according to the needs and desires of the end-user, also the prototype of this application is feasible to be implemented.
IMPLEMENTATION OF 360-DEGREE FEEDBACK AND SAW FOR DECISION SUPPORT SYSTEM OF ACHIEVING TEACHER'S RECOMMENDATION Novita BR Ginting; Zulkarnaen Noor Syarif; Mamay Maesaroh; Jejen Jaenudin; Dahlia Widhyaesteoty; Muhamad Alfian Yusup; Leny Tritanto Ningrum
Jurnal Riset Informatika Vol 4 No 4 (2022): Period of September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1683.511 KB) | DOI: 10.34288/jri.v4i4.447

Abstract

Education requires quality teacher resources in the current era of industry 4.0 and society 5.0. Teachers act as educators, teachers, mentors, directors, trainers, assessors, and evaluators. Students must have critical thinking competencies, creativity and innovation, interpersonal and communication skills, teamwork and collaboration, and self-confidence. At SMK Yasbam, the selection process for outstanding teachers is carried out every year. The problem faced is that the selection process is still assessed, selected, and determined by the school principal only, so there is still a process that is deemed not transparent, accountable, and fair. To make the assessment process fairer, try using the 360-degree feedback method, a multi-source assessment, and then weighting the performance value using the Simple Additive Weighting method to obtain recommendations for outstanding teachers. Respondents consisted of principals, fellow teachers, students, and themselves (the assessed teachers). Furthermore, combining these two methods is applied in a decision support system to make the assessment process and selection of outstanding teachers more objective.
Design of Digital Library Prototype Using The Design Thinking Method Miftahurrohmah Haque; Dwi Rosa Indah
Jurnal Riset Informatika Vol 5 No 1 (2022): Priode of December 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i1.442

Abstract

According to UNESCO (United Nations Educational, Scientific and Cultural Organization), Indonesian people's reading literacy interest has a literacy percentage of 0.001%, which means that out of 1.000 people, only one person likes to read. The digital reading movement attracts people's reading interest, especially with a digital library. Lahat District Library Service wants to re-establish a digital library that has been removed. By paying attention to usability and user experience, a digital library prototype design is carried out to develop the application to get user experience results with a good level of success and satisfaction. The method used is Design Thinking, which aims to design usable and valuable solutions by focusing on user needs. The results of the usability testing analysis of the digital library prototype created using the User Experience Questionnaire (UEQ) get "Excellent" in six aspect categories: attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty.
ISO 31000:2018-Based IT Infrastructure Risk Management Study (Case Study: Universitas Mikroskil) Elly Elly; Hanes Hanes; Joosten Joosten
Jurnal Riset Informatika Vol 5 No 1 (2022): Priode of December 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i1.448

Abstract

In dealing with risks, organizational stakeholders will need risk management to ensure that risks within the organization have been identified and appropriate controls have been implemented in each implementation of the organization's IT infrastructure. Risk management is a process of identification, analysis, assessment, control, and efforts to avoid, minimize, and even eliminate unacceptable risks. Implementation of risk management with ISO 31000 by risk analysis and the areas that will be the focus of risk management. Mikroskil University requires risk management standards to minimize the risk of using the internet and servers in academic activities required by all academic levels at Mikroskil. The stages of the research method that are by chosen method are collecting the risks faced by the organization, determining the risk scale, and using a risk matrix for risk management priority exposure. The results of the risk management analysis are in the form of the basic principles of implementing risk management with the ISO 31000 standard, which is a recommendation to the organization in managing risk by applicable standards. The result of the risk level is two possible risks with a low level, ten with a high level, and 3 with an extreme level.
Design and Build A Prototype Internet of Things Based On Cooking Oil Distribution at PT. Lion Super Indo Jatibening Steven Steven; Azpha Thoriq Mulyadi; Resha Wisnu Murti; Anggi Oktaviani; Dahlia Sarkawi; Deny Novianti
Jurnal Riset Informatika Vol 5 No 1 (2022): Priode of December 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i1.449

Abstract

The scarcity of cooking oil is the main factor for PT LION Superindo Jatibening to make provisions for limiting the purchase of cooking oil. Of course, some people use this to commit fraud in purchasing, namely, buying cooking oil beyond the predetermined limit by repurchasing it after a few hours from the previous purchase. Of course, some use this to cheat on purchasing cooking oil over the predetermined limits of repurchase within a few hours of previous purchases. Thus, the governmental tribunician is disproportionate to other customers, so many are not getting cooking oil and using RFID (radio identification) technology to create an automated system as an authentication medium and security system. The system is a card reading that contains the user or item data. This technology assists in limiting purchases to greater efficiency, safety, and protection of people against the repurchasing of cooking oil. Fry oil distribution systems use IoT devices by applying PHP programming language based on websites that can be accessed and integrated with MySQL databases as data storage. For IoT devices, the primary device uses NodeMCU esp8266 as a microcontroller and rc522 RFID reader as modules to read an RFID card configured using microcontroller software.
Sentiment Analysis of Twitter's Opinion on The Russia and Ukraine War Using Bert Muhammad Fahmi Julianto; Yesni Malau; Wahyutama Fitri Hidayat
Jurnal Riset Informatika Vol 5 No 1 (2022): Priode of December 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i1.452

Abstract

News about the war that took place between Russia and Ukraine can not be denied affecting various aspects of life in the world. This affects the writings of every citizen of the world on various social media platforms, one of which is Twitter. Sentiment analysis is a process of identifying and making sentiment categories which is done computationally. Sentiment analysis process is also intended to make computers understand the meaning of sentences written by humans by processing using algorithms. This study uses a deep learning method using a language model, namely BERT (Bidirectional Encoder Representation Form Transformers) as a process of analyzing the sentiments that exist in tweets written about the war in Russia and Ukraine by twetter social media users. These sentiments will be divided into three parts, namely positive, neutral and negative. In this study, the hyperparameters used were 10 epochs, learning rate 2e-5, and batch size 16. The sentiment analysis test used the BERTbase Multilingual-cased-model model and the accuracy value obtained was 97%.
Implementation of Machine Learning Algorithms for Early Detection of Cervical Cancer Based on Behavioral Determinants Duwi Cahya Putri Buani; Indah Suryani
Jurnal Riset Informatika Vol 5 No 1 (2022): Priode of December 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i1.453

Abstract

Cervical cancer is a disease that affects women and has the highest mortality rate after breast cancer. Early detection of cervical cancer is critical at this time, so cervical cancer patients are decreasing. Many women, especially in Indonesia, are less concerned about the dangers of cervical cancer, even though if detected earlier, this disease will be easier to treat. One alternative for early detection can use machine learning algorithms. The machine learning algorithms used in this study are Naïve Bayes (NB), Logistic Regression (LR), Decision Tree (DT), SVM, and Random Forest. In this study, a random under-sampling method was employed, which had no uses in any prior research. This technique makes the accuracy of the five algorithms even better. The research results show that NB has an accuracy rate of 91.67%, LR has an accuracy rate of 87.5%, DT has an accuracy rate of 81.81%, SVM has an accuracy rate of 75%, and RF has the highest accuracy rate of 94.45%. This research shows that the best model is RF or Random Forest
Classification of Batu Bara Songket Using Gray-Level Co-Occurrence Matrix and Support Vector Machine Sriani Sriani; Muhammad Siddik Hasibuan; Rizkika Ananda
Jurnal Riset Informatika Vol 5 No 1 (2022): Priode of December 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i1.469

Abstract

Songket is a traditional woven cloth from the Malay and Minangkabau tribes. Songket can also be classified from the brocade woven family and woven with gold or silver thread. Songket cloth's beauty is the Indonesian people's wealth and preservation. Batu Bara Regency is one of Indonesia's regions with several Songket motifs characteristics. Public knowledge of Batu Bara Songket motifs is still minimal, and the differences between one motif and another are still unknown. This research provides information about the variety of Songket fabrics by classifying six types of Batu Bara Songket motifs, namely the Bunga Tanjung motif, Pucuk Betikam motif, Pucuk Cempaka motif, Pucuk pandan motif, Tampuk Manggis motif and Tolab Berantai motif based on the extraction of the Gray Level texture feature. The Co-Occurrence Matrix includes four parameters: Contrast, Correlation, Energy, and Homogeneity, as well as a classification method with a Support Vector Machine. The feature extraction values ​​ process as input for classification using a Support Vector Machine. The highest accuracy achieved in this study was 57%, using 60 training data and 30 test data.
Implementation of The K-Means Clustering for Teacher Performance Assessment Grouping (PKG) at MI Bani Hasyim Cerme Bagus Firmansyah; Umi Chotijah
Jurnal Riset Informatika Vol 5 No 1 (2022): Priode of December 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v5i1.475

Abstract

Evaluation of teacher performance at MI Bani Hasyim Cerme still uses the manual method. Using office applications such as excel and word results in a significant accumulation of data that makes it difficult for school principals to calculate scores and evaluate the results of clustering or teacher performance scores, so it is wasteful of energy, time, and cost. The k-Means clustering method is expected to facilitate the clustering process of teacher performance values ​​as a source of information and make it easy for school principals to classify teacher performance results. This research aims to obtain clustering values ​​on teacher performance assessment data and to replace the teacher performance assessment system at MI Bani Hasyim, which was previously carried out conventionally into a web-based system. The results of this study are the clustering values ​​of teacher performance assessment and a web-based teacher performance appraisal system. It is expected to facilitate the process of evaluating teacher performance in the Bani Hasyim primary school in the future.
EXAMINATION OF MANGO FRUIT DISEASES TO IMPROVE THE QUALITY OF MANGO FRUIT USING IMAGE PROCESSING Budi Aji, Indra
Jurnal Riset Informatika Vol. 6 No. 4 (2024): September 2024
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v6i4.347

Abstract

Stroke occurs due to disrupted blood flow to the brain, either from a blood clot (ischemic) or a ruptured blood vessel (hemorrhagic), leading to brain tissue damage and neurological dysfunction. It remains a leading cause of death and disability worldwide, making early prediction crucial for timely intervention. This study evaluates the impact of data balancing techniques on stroke prediction performance across different machine learning models. Random Forest (RF) consistently achieves the highest accuracy (98%) but struggles with precision and recall variations depending on the balancing method. Decision Tree (DT) and K-Nearest Neighbors (KNN) benefit most from SMOTE and SMOTETomek, improving their F1-scores (11.21% and 9.18%), indicating better balance between precision and recall. Random Under Sampling enhances recall across all models but reduces precision, leading to lower overall predictive reliability. SMOTE and SMOTETomek emerge as the most effective balancing techniques, particularly for DT and KNN, while RF remains the most accurate but requires further optimization to improve precision and recall balance.

Page 18 of 42 | Total Record : 417

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