Article Per Year (5 Year)
p-Index From 2021 - 2026
2.255
P-Index
This Author published in this journals
All Journal Jurnal Riset Informatika Abditeknika - Jurnal Pengabdian Kepada Masyarakat Computer Science (CO-SCIENCE) SENTRI: Jurnal Riset Ilmiah Justika : Jurnal Sistem Informasi Akuntansi Journal of Accounting Information System The Indonesian Journal of Computer Science Jurnal Komtika (Komputasi dan Informatika)
Ita Yulianti
STMIK AMIKOM Purwokerto
Aerospace Engineering Humanities Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Implementasi Metode Forward Chaining, Certainty Factor dan Dempster Shafer pada Sistem Pakar Diagnosis Penyakit Gigi dan Mulut Nurajizah, Siti; Yulianti, Ita; Saputra, Elin Panca; Dewi, Rani Kurnia
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 2 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i2.5995

Abstract

Dental and oral disease is one of the diseases that has been felt by most of the people. Insufficient information and the limited level of public awareness of the prevention of dental and oral diseases make the impact quite dangerous if not handled properly. An appropriate information system is needed in overcoming and providing solutions for handling a disease as early as possible. Expert systems can be used as a means of information on the treatment of dental and oral diseases. The manufacture of the expert system in this study initially used the forward chaining method, which is a method that searches based on information that is made into a set of rules so as to get a conclusion. However, after re-analysis, two other methods, namely certainty factor and dempster shafer, were also applied in this study with the aim of overcoming the shortcomings of the forward chaining method, one of which is uncertainty in producing a conclusion or diagnosis of disease. Determining the type of dental and oral disease can be known by looking at the symptoms experienced by the patient. The use of an expert system for diagnosing dental and oral diseases can be used as an initial solution in helping someone to treat the disease. The existence of this expert system can be used as consideration in making decisions to determine the type of dental and oral disease quickly, precisely and accurately.
Relaksasi Autogenik Terhadap Hemodinamik Pasien di ICU Supriyanti, Endang; Wahyuningsih, Wahyuningsih; Selowarni, Dati; Yulianti, Ita
SENTRI: Jurnal Riset Ilmiah Vol. 4 No. 11 (2025): SENTRI : Jurnal Riset Ilmiah, November 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v4i11.4691

Abstract

Critically ill patients experiencing dysfunction in one or more organs are highly dependent on hemodynamic monitoring equipment and Intensive Care Unit (ICU) therapy. Autogenic relaxation is one of the non-pharmacological therapy options that can help stabilize the hemodynamic status of patients because it can provide a relaxing effect, reduce mild to moderate physical and psychological stress and tension, and provide comfort so that hemodynamics become stable. The purpose of this study was to determine the effect of autogenic relaxation on the hemodynamics of patients in the ICU at Permata Medika Hospital in Semarang. This study was a quasi-experimental study with a pre-test and post-test non-equivalent control group design, providing a 10-minute autogenic relaxation intervention twice a day for 2 days to the intervention group. Hemodynamics were measured on the first day before the intervention and on the last day after the intervention. Meanwhile, in the control group, hemodynamic measurements were only taken on the first day and the last day using a bedside monitor and observation sheet. The research population consisted of patients treated in the ICU of Permata Medika Hospital in Semarang, with a sample size of 30 people divided into intervention and control groups. The sampling method was accidental sampling. The data were analyzed using the Mann-Whitney test because the results of the normality test showed that the data were not normally distributed. The results of the study showed p-values for systolic blood pressure of 0.340 and diastolic blood pressure of 0.693, pulse of 0.803, respiration of 0.835, body temperature of 0.815, and oxygen saturation of 0.963, indicating no significant difference in hemodynamic status between the intervention group and the control group. Therefore, it can be concluded that autogenic relaxation has no effect on the hemodynamics of patients in the ICU at Permata Medika Hospital in Semarang. These results are likely due to the small and non-heterogeneous sample size. Therefore, further research with a larger and more heterogeneous sample size is needed.
DEVELOPMENT OF MANUFACTURING INVENTORY MANAGEMENT SYSTEM USING MATERIAL REQUIREMENT PLANNING METHOD Rahmawati, Ami; Saputra, Rizal Amegia; Yulianti, Ita
Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v4i1.135

Abstract

Inventory has an important role in business activities. This is because inventory has an effect on changes in the production market and anticipates price changes in the demand for many goods. PT. Barkah Jaya Mandiri is a company engaged in manufacturing where the management of inventory at the company is still done conventionally. This causes various problems such as the occurrence of discrepancies in the stock of goods, discrepancies in data and final reports as well as obstacles in the production process in the event of a shortage or excess of raw materials. (Material Requirement Planning) in order to overcome the problems that occur in the company. The combination of the SDLC model and data collection techniques including observation, interviews and literature study were also carried out in this study in order to achieve the system that will be built to suit the targeted needs. With this system, the management of inventory data at this company can be done easily and accurately and save time compared to the previous system, so that the procurement of manufacturing raw materials is optimal and employee performance is better.
THE EFFECTIVENESS ANALYSIS OF RANDOM FOREST ALGORITHMS WITH SMOTE TECHNIQUE IN PREDICTING LUNG CANCER RISK Yulianti, Ita; Rahmawati, Ami; Mardiana, Tati
Jurnal Riset Informatika Vol. 4 No. 2 (2022): March 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (996.334 KB) | DOI: 10.34288/jri.v4i2.159

Abstract

Abstract When compared with other types of cancer, most of the population with cancer die from lung cancer.A person needs to do a screening test through X-rays, CT scans, and MRI to detect the disease. However, before carrying out the process, the doctor will ordinarily investigate a medical history and physical examination first to study the symptoms and possible risk factors for lung cancer. The lung cancer data set has a class imbalance that affects the performance of the random forest algorithm in predicting the risk of lung cancer. This study aims to employ the SMOTE technique to the random forest algorithm to increase accuracy in predicting lung cancer risk. In this research, data processing and analysis use the Python programming language. The test results show an accuracy value of 88% with an AUC value of 0.93. When employing the random forest method to forecast lung cancer risk, the SMOTE technique is useful in dealing with class imbalances in the data set.
Co-Authors A Gunawan Adli, Idham Abdi Al Ami Rahmawati Anggi Oktaviani ANI OKTARINI SARI, ANI OKTARINI Dahlia Sarkawi Dewi, Rani Kurnia Dwi Nur Aini, Dwi Nur Dwi Retnaningsih, Dwi Endang Supriyanti, Endang Fitrika, Sonia Hikmatulloh, Hikmatulloh Ibhammurrival, M. Napitupulu, Golda TM Panca Saputra, Elin Pribadi, Denny Rahmawati Maulida, Nurul Rahmawati, Ami Ramdiani Azzahra, Dinda Rifa Nurafifah Syabaniah Rizal Amegia Saputra Rusda Wajhillah, Rusda Sahrul, Nizar Saumi Ramdhani, Lis Selowarni, Dati Septiani Nurfauzia K, Tya Siti Nurajizah Sri Melati Putri, Rahma Tati Mardiana, Tati Taufik Hidayatulloh Wahyuni, Ayu Dewi Sri Wahyuni Wahyuningsih Wahyuningsih Yuri Rahayu Yusti Farlina