p-Index From 2021 - 2026
4.405
P-Index
Claim Missing Document
Check
Articles

Sistem Pakar Diagnosa Penyakit Pada Ibu Hamil Menggunakan Metode Forward Chaining Jenie Sundari; Siti Wulandari; Yusnia Budiarti; Esron Rikardo Nainggolan
J-INTECH ( Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i1.838

Abstract

Pregnant women can be attacked by pregnancy disease, the disease can be known from the symptoms it causes, however, to find out exactly what disease is suffered by pregnant women, an expert or obstetrician is needed. In this study a website-based expert system was designed using basic rules with the forward chaining inference method aimed at helping pregnant women in diagnosing pregnancy diseases early on. This expert system is capable of diagnosing diseases suffered by pregnant women in accordance with the symptom questions posed to be answered by pregnant women, will display the results of the diagnosis, details about the disease and how the disease is treated.
Perbandingan Metode SAW dan Profile Matching Pada Pemilihan Rumah Tinggal: Studi Kasus: Perumahan Depok Sunarti, Sunarti; Sundari, Jenie
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 2 No 2 (2018): Vol. 2 No. 2 Agustus 2018
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (961.758 KB) | DOI: 10.29407/intensif.v2i2.12045

Abstract

Convenient place, strategic, cool and affordable price is the dream of every person to be home. This research is conducted on housing in Depok City area with the name of Grand Depok City, Telaga Kahuripan, Maharaja, Sawangan Permai and Pesona Kayangan by using price, location, mortgage, facility, house type and initial payment by comparing two methods Supporting system of decision namely SAW and Profile Matching. The method is a method that the end result of the formation of the calculation process. The results of the comparison of the two methods are to produce the same chosen alternative, so that both methods can be applied to assist decision making in house selection in Depok
SALES PREDICTION AT PT. WORLD INFINITE NETWORK USING NAÏVE BAYES AND ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM METHODS sundari, jenie; Irman, Aden
ULTIMATICS Vol 17 No 2 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i2.4472

Abstract

In the process of analyzing sales transaction data at PT. World Infinite Network, existing information has not yet optimized the sales of offered products. The purpose of this optimization is to obtain purchasing patterns of frequently bought items by customers. Every year, IT products are increasingly needed, even showing growing demand. One data processing technique that can help is data mining. Based on this informational relationship, decisions can be made through processes such as description, estimation, prediction, classification, clustering, and association. Previous studies indicate that the Apriori method is more intuitive and interpretable, while the Naïve Bayes method provides fast, simple, and precise computation, making it one of the most widely used techniques in classification tasks. This study employs both Adaptive neuro fuzzy inference system and Naïve Bayes algorithms to analyze sales data and predict trends. The results show that the Naïve Bayes Algorithm achieved an accuracy of 19.05%, demonstrating its potential application in supporting strategic sales predictions for PT. World Infinite Network.
Measurement of the Usability of the Posyandu Information System for Teenagers using the System Usability Scale (SUS) at the Seruni Posyandu in Tangerang City Sinnun, Ahmad; Sundari, Jenie; Sulistiyah, Sulistiyah
IJNMT (International Journal of New Media Technology) Vol 12 No 2 (2025): Vol 12 No 2 (2025): IJNMT (International Journal of New Media Technology)
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v12i2.4485

Abstract

Usability is a critical factor in the successful implementation of information systems, particularly in community-based health services involving adolescent users. This study aims to measure the usability level of a web-based adolescent Posyandu information system using the System Usability Scale (SUS) instrument. A quantitative descriptive method was applied by involving 10 adolescent respondents selected purposively at Posyandu Seruni, Tangerang City. Respondents were asked to complete several main task scenarios on the system and then provide their assessments through the SUS questionnaire. The results show that the average SUS score was 72.75 with a standard deviation of 10.30 and a 95% confidence interval ranging from 65.38 to 80.12. This score places the system in the “Good” category, indicating that the adolescent Posyandu information system has a fairly good level of usability and is acceptable to users. However, some respondents provided lower scores due to navigation difficulties and unclear terminology within the system. These findings provide a foundation for improving the interface and enhancing user experience in the next development stage.