Article Per Year (5 Year)
p-Index From 2019 - 2024
1.116
P-Index
This Author published in this journals
All Journal Dentino: Jurnal Kedokteran Gigi Sinkron : Jurnal dan Penelitian Teknik Informatika JUSIM (Jurnal Sistem Informasi Musirawas) Building of Informatics, Technology and Science Sinnun Maxillofacial Journal
Yadi, Yadi
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Health Professions Materials Science & Nanotechnology Medicine & Pharmacology Public Health

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Sistem Pakar Diagnosa Penyakit ISPA dengan Metode Forward Chaining Gusmaliza, Debi; Masdalipa, Risnaini; Yadi, Yadi
Building of Informatics, Technology and Science (BITS) Vol 3 No 4 (2022): March 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (893.55 KB) | DOI: 10.47065/bits.v3i4.1203

Abstract

The development of computer technology today continues to experience many changes every year, which are often developed by artificial intelligence, such as expert system technology. An expert system is a computer-based application that can match or imitate the ability of an expert used to solve problems that cannot be solved by ordinary people. His knowledge is taken from books, experience and knowledge. Children often experience ISPA disease caused by viruses and bacteria because children's immune systems are still susceptible to being different from adults. This disease usually begins with a hot body temperature accompanied by symptoms such as sore throat or painful swallowing, runny nose, dry cough and others. So that many parents do not know the symptoms of ISPA disease, as for some ways to prevent ISPA disease are diligently washing hands, increasing consumption of foods containing vitamins, exercise. To make it easier for parents to detect ISPA disease, the authors made this study using the forward chaining method, using this method the resulting system is a system that provides a choice of several symptoms then based on the selected symptoms conclusions will be drawn. This ARI disease expert system uses blackbox testing because blackbox testing is a software testing technique that focuses on the functional specifications of the software or system. Blackbox testing is done on each submenu view, input, edit, print, delete data. So that it will produce an expert system to diagnose ISPA in children online
ANTIBACTERIAL ACTIVITY TEST OF CUCUMBER PEEL EXTRACT (Cucumis sativus L.) AGAINST Streptococcus mutans BACTERIA Dewi, Rahmalia; Masyhudi, Masyhudi; Alhawaris, Alhawaris; Yani, Sinar; Yadi, Yadi
Dentino: Jurnal Kedokteran Gigi Vol 9, No 1 (2024)
Publisher : FKG ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/dentino.v9i1.18869

Abstract

Background: Dental caries is a  process of tooth demineralization caused by acids produced from food metabolism in bacteria. One of the main etiological factors of dental caries is the microorganisms known as Streptococcus mutans bacteria. S. mutans is one of the components of human dental plaque that is associated with sucrose diet and high caries activity. Cucumber peel extract (Cucumis sativus L.) is known to have an antibacterial activity due to the presence of secondary metabolites such as flavonoids, steroids, alkaloids, saponins and phenols found in cucumber peel. Purpose: This study aimed to determine the antibacterial activity at the lowest concentration of cucumber peel extract (Cucumis sativus L.) against Streptococcus mutans bacteria. Method: This study employed the disc diffusion method with a post-test only control group design. Streptococcus mutans bacteria were cultured on Mueller Hinton Agar media, and cucumber peel extract (Cucumis sativus L.) was applied as the antibacterial agent at concentrations of 0.01 g/ml, 0.05 g/ml, 0.1 g/ml, 0.2 g/ml, 0.4 g/ml and 0.5 g/ml with seven repetitions. Results: The results of the study showed that cucumber peel extract (Cucumis sativus L.) formed inhibition zones around the paper discs against the growth of Streptococcus mutans bacteria at concentrations of 0.4 g/ml and 0.5 g/ml. Conclusion: The concentrations of 0,4 g/ml and 0,5 g/ml are the lowest concentrations of cucumber peel extract (Cucumis sativus L.) that can inhibit the growth of Streptococcus mutans bacteria. Keywords : Antibacterial, Cucumber peel, Dental Caries, Streptococcus mutans
ANALISIS SENTIMEN MARKETPLACE DI ERA SOCIETY 5.0 MENGGUNAKAN ALGORITMA NAIVE BAYES Yadi, Yadi; Asminah, Asminah; Purba, Mariana; Padya, Inka Rizki
JUSIM (Jurnal Sistem Informasi Musirawas) Vol 8 No 1 (2023): JUSIM (Jurnal Sistem Informasi Musirawas) JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusim.v8i1.1953

Abstract

Konsep dari perkembangan teknologi yang semakin berinovasi membawa dampak yang sangat besar bagi masyarakat sebagai unsur pendukung untuk mempermudah dalam proses penyelesaian permasalahan, marketplace merupakan hasil dari perkembangan teknologi yang berbasis ecomerce pada era society 5.0 dimana masyarakat harus mampu berkolaborasi dengan teknologi. Pemanfaatan marketplace sebagai sarana transaksi jual beli beraneka macam produk yang besar tidak terlepas dari opini masyarakat, oleh sebab itu Tujuan penelitian untuk melihat reviews masyarakat terhadap pemanfaatan marketplace berdasarkan pada opinion positif, negatif dan netral. Analisis sentimen dipergunakan untuk melakukan pengolahan teks data mining melalui teks analytic dengan algortima naïve bayes. Hasil penelitian analisis sentiment marketplace dengan data reviews Shopee sebanyak 11.7M, Bukalapak 2.19M, Lazada 21.4M dan Tokopedia 6.52M di era society 5.0 terlihat bahwa interaksi manusia dalam pemanfaatan teknologi sangat besar hal ini terlihat dari jumlah pengguna dan reviews yang dilakukan oleh masyarakat pada kondisi ini analisis sentimen yang telah dilakuan berdasarkan presentase positif sebesar 88%, negatif 3% dan netral 9% . Sehingga dapat disimpulkan bahwa kolaborasi yang dilakukan oleh masyarakat terhadap teknologi sudah baik dalam pendukung informasi pemenuhan kebutuhan aktivitas sehari-hari.
Uji Aktivitas Antibakteri Ekstrak Etanol Sarang Semut (Myrmecodia tuberosa Jack) Terhadap Bakteri Aggregatibacter actinomycetemcomitans Kusuma, Rahmat Wijaya; Astuti, Lilies Anggarwati; Purnamasari, Cicih Bhakti; Yadi, Yadi; Utami, Nuryanni Dihin
Sinnun Maxillofacial Journal Vol. 5 No. 02 (2023): Oktober 2023
Publisher : Fakultas Kedokteran Gigi Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/smj.v5i02.119

Abstract

Pendahuluan: Penyebab utama periodontitis berhubungan dengan aktivasi berlebihan respon imun-inflamasi host terhadap bakteri patogen. Metabolit sekunder pada tumbuhan sarang semut (Myrmecodia tuberosa Jack) diantaranya dari golongan flavonoid dan tanin mempunyai sifat antibakteri. Tujuan Penelitian: Untuk mengetahui aktivitas antibakteri ekstrak tanaman sarang semut terhadap pertumbuhan bakteri A. Actinomycetemcomitans. Bahan dan Metode: dilakukan uji secara in vitro berupa penelitian eksperimental dengan 12 kelompok uji yaitu perlakuan dengan konsentrasi 125 mg/mL, 62,5 mg/mL, 31,25 mg/mL, 15,62 mg/mL, 7,81 mg/mL, 3,90 mg/mL, 1,95 mg/mL, 0,97 mg/mL, 0,48 mg/mL, 0,24 mg/mL, 0,12 mg/mL, 0,06 mg/mL, kelompok kontrol positif (Chlorhexidine gluconate 0,2%) dan kelompok kontrol negatif (DMSO 10%) dengan metode mikrodilusi untuk melihat kadar hambat minimum. Hasil: hasil penelitian yang dilakukan menunjukan adanya aktivitas antibakteri ditandai dengan terdapatnya sumuran yang tetap jernih pada beberapa konsentrasi. Kesimpulan: ekstrak etanol tanaman sarang semut memiliki kemampuan untuk menghambat pertumbuhan bakteri penyebab periodontitis agresif A. Actinomycetemcomitans.
Implementation Opinion Mining For Extraction Of Opinion Learning In University Purba, Mariana; Yadi, Yadi
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.11994

Abstract

Opinion mining is a field of Natural Language Processing (NLP) that is used to carry out the process of extracting and processing textual data which functions to obtain information through sentiment analysis from a document in the form of text, among others, to detect attitudes towards objects or people. Sub-processes in opinion mining can use documents of subjectivity, opinion orientation, and detection targets to find out the data used as sentiment analysis, sentiment analysis aims to assess emotions, attitudes, opinions, and evaluations conveyed by a speaker or writer towards a product or towards a public figure. In this study, an opinion mining system was developed to analyze learning in college. The methodology used is quantitative descriptive, while the processing of sentiment analysis data uses Azure machine learning. Sentiment analysis results are very good at assessing opinions or opinions and emotions, and attitudes conveyed by someone. The learning process is the main element that must run well so that competency and achievement in learning can be maximally conveyed to students. Documents that identified opinions were then classified into negative, neutral, and positive opinions based on the results. In general, it can be concluded that the value obtained by sentiment analysis using Azure Machine Learning tools is quite good, judging from the results of a positive class of 0.79 and a neutral class of 0.53. The use of cleaning and labeling techniques and other classifications is still very possible to use. To get a better accuracy value.
Application of the C4.5 Algorithm for Predicting Students' Learning Styles Based on Somatic, Auditory, Visual, and Intellectual Models Aminah, Siti; Yadi, Yadi
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.14032

Abstract

Education in Indonesia has seen significant development over the past few decades, with government efforts to improve access and quality of education throughout the country. Programs such as the 12-Year Compulsory Education and curriculum revitalization have driven an increase in school participation rates. However, challenges such as the quality gap between urban and rural areas and the low competence of teachers remain key issues in achieving more equitable and high-quality education for all segments of society. This study aims to apply the C4.5 algorithm to predict students' learning styles based on the Somatic, Auditory, Visual, and Intellectual (SAVI) model. Learning styles are an important aspect of education that affects the effectiveness of learning. By understanding individual learning styles, educators can optimize teaching methods according to students' needs. In this study, student learning style data was collected and analyzed using the C4.5 algorithm, an effective decision tree method for data classification. The results of this algorithm are decision trees that categorize students into one of four learning styles based on specific features. This study shows that the C4.5 algorithm has good accuracy in predicting learning styles, with an entropy value of 1.55 and a gain of 0.156. The implementation of the results of this study is expected to help teachers develop more optimal teaching strategies in preparing learning materials according to students' learning styles.
Co-Authors Alhawaris, Alhawaris Asminah Asminah, Asminah Dewi, Rahmalia Gusmaliza, Debi Kusuma, Rahmat Wijaya Lilies Anggarwati Astuti, Lilies Anggarwati Masdalipa, Risnaini Masyhudi Masyhudi, Masyhudi Nuryanni Dihin Utami, Nuryanni Dihin Padya, Inka Rizki Purba, Mariana Purnamasari, Cicih Bhakti Siti Aminah Yani, Sinar