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All Journal Kompak : Jurnal Ilmiah Komputerisasi Akuntansi Dentino: Jurnal Kedokteran Gigi Sinkron : Jurnal dan Penelitian Teknik Informatika Indonesian Journal of Artificial Intelligence and Data Mining JUSIM (Jurnal Sistem Informasi Musirawas) INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Building of Informatics, Technology and Science Indonesian Journal of Global Health research Jurnal Kesehatan Pasak Bumi Kalimantan Jurnal Kedokteran Mulawarman Kabanti : Jurnal Kerabat Antropologi Sinnun Maxillofacial Journal Tsaqofah: Jurnal Penelitian Guru Indonesia Finger : Jurnal Ilmiah Teknologi Pendidikan Mulawarman Dental Journal Jurnal Sains dan Kesehatan Jurnal Pengabdian Kepada Masyarakat Proceeding Mulawarman International Conference on Tropical Public Health
Yadi, Yadi
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Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Education Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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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.
Implementasi Algoritma Weighted Product Untuk Seleksi Penerima Program Indonesia Pintar (PIP) pada Institut Teknologi Pagar Alam Saputra, Agung; Yadi, Yadi; Aminah, Siti
INFOMATEK Vol 26 No 1 (2024): Volume 26 No. 1, Juni 2024
Publisher : Fakultas Teknik, Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/infomatek.v26i1.13760

Abstract

Artikel ini mengusulkan implementasi algoritma dalam proses seleksi penerima Program Indonesia Pintar (PIP) di lingkungan kampus, dengan fokus pada Institut Teknologi Pagar Alam. Dengan menggabungkan pendekatan kualitatif dan kuantitatif, studi ini menganalisis berbagai kendala dalam seleksi penerima PIP dan mengembangkan algoritma Weighted Product untuk menilai kebutuhan masing-masing mahasiswa untuk bantuan pendidikan. Penggunaan algoritma ini diharapkan dapat meningkatkan akurasi dalam menentukan penerima bantuan, menciptakan kebijakan yang lebih adil, dan secara keseluruhan meningkatkan efektivitas Program Indonesia Pintar di kampus. Hasil penelitian menunjukkan bahwa algoritma Weighted Product dapat memberikan hasil yang lebih akurat dan kontekstual dalam menentukan penerima bantuan. Oleh karena itu, menggunakan algoritma ini dapat mengarah pada pembentukan sistem yang transparan, dan efektif untuk menangani masalah-masalah kompleks dalam distribusi Program Indonesia Pintar di kampus, dengan menekankan pentingnya pendekatan objektif untuk memastikan akses pendidikan yang adil dan merata bagi semua individu, terutama mereka yang secara finansial kurang mampu.
Sentiment Analysis of Ampera Bridge as a National Tourism Destination Purba, Mariana; Yadi, Yadi
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 2 (2024): September 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i2.30132

Abstract

Ampera Bridge is one of the leading tourism icons in Palembang which attracts thousands of visitors every year. This research aims to analyze visitors' opinions about the Ampera Bridge using opinion mining techniques in Google Review reviews. Research methods include collecting review data from Google Reviews, data preprocessing, sentiment analysis, and aspect analysis. The data collected includes 307 reviews taken in the period April 2024. These reviews were analyzed using the Support Vector Machine (SVM) algorithm to classify sentiment as positive, negative, or neutral. The analysis results show that 83% of reviews have positive sentiment, 9% are negative, and 8% are neutral. The main aspects often discussed by visitors include the view and beauty of the bridge, historical and cultural value, accessibility and transportation, facilities and cleanliness, as well as tourist experiences and activities. Positive sentiments were mainly related to the beauty of the bridge's architecture and lighting, as well as its historical value. However, negative sentiment was mainly caused by cleanliness issues and traffic jams around the bridge. Based on these findings, several recommendations put forward include improving cleaning facilities, better traffic management, developing public facilities, and diversifying tourist activities. It is hoped that the implementation of these recommendations can improve the quality of the visitor experience and the attractiveness of the Ampera Bridge as a major tourist destination. This research provides valuable insights for tourism managers and local governments to improve the quality of services and facilities at the Ampera Bridge.
PENGARUH KEMOTERAPI NEOADJUVAN BERBASIS TAKSAN DAN ANTRASIKLIN TERHADAP UKURAN TUMOR, STATUS KELENJAR GETAH BENING DAN KADAR ESTRADIOL PADA KASUS KANKER PAYUDARA STADIUM LOKAL LANJUT DENGAN HORMON RESEPTOR POSITIF (LUMINAL A) PADA USIA PREMENOPOSE Fajar, Erwin; Thabry, Rudy; Yadi, Yadi
Jurnal Kedokteran Mulawarman Vol 11, No 2 (2024): Jurnal Kedokteran Mulawarman
Publisher : Fakultas Kedokteran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jkm.v11i2.17574

Abstract

AbstrakLatar Belakang: Kanker yang paling banyak menyerang wanita di Indonesia adalah kanker payudara, menduduki peringkat satu di Indonesia, Tingginya angka kejadian kanker payudara sebagai penyebab kematian adalah akibat dari banyaknya jumlah pasien kanker yang baru datang dengan stadium lanjut. Locally Advanced Breast Cancer atau Kanker payudara stadium lokal lanjut meliputi tumor dengan ukuran T3 dan T4, yang memiliki keterlibatan luas nodus regional (N2 atau N3), dan kanker payudara inflamasi. Dimana pada kasus tersebut membutuhkan penanganan agresif, termasuk kemoterapi neoadjuvan berbasis taksan dan antrasiklin. Penelitian ini bertujuan untuk mengevaluasi pengaruh kemoterapi tersebut terhadap ukuran tumor, status kelenjar getah bening, dan kadar Estradiol.Metode: Penelitian ini menggunakan desain penelitian analitik observasional dengan pendekatan kohort prospektif. Data diperoleh dari anamnesis, pemeriksaaan fisik, dan lembar rekam medik pasien di RSUD Abdoel Wahab Sjahranie Samarinda pada rentang waktu Mei-Agustus 2024. Teknik pengambilan sampel menggunakan purposive sampling dan didapatkan 30 sampel.Hasil: Hasil analisis bivariat menggunakan uji Wilcoxon didapatkan variabel ukuran tumor payudara (p=0.000), status kelenjar getah bening (p=0.000), dan kadar Estradiol (p=0.000).Simpulan: terdapat perubahan yang signifikan antara ukuran tumor, status kelenjar getah bening, dan kadar Estradiol sebelum dan sesudah pemberian kemoterapi neoadjuvan berbasis taksan dan antrasiklin pada kasus kanker payudara stadium lokal lanjut Hormonal Positif. Kata kunci: kanker payudara stadium lokal lanjut, kemoterapi neoadjuvan, taksan, antrasiklin
Use of The Heat Treatment Method as An Alternative to Commercial Kit-Based Nucleic Acid Extraction Method for Detecting SARS-CoV-2 Using RT-qPCR Technique under Reagent Limited Conditions Alhawaris, Alhawaris; Yadi, Yadi; Tandirogang, Nataniel
Jurnal Kesehatan Pasak Bumi Kalimantan Vol 7, No 2 (2024): JKPBK Desember 2024
Publisher : Fakultas Kedokteran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/j.kes.pasmi.kal.v7i2.15797

Abstract

The increase in the number of COVID-19 cases could cause disruptions to the global supply chain of commercial kits for the extraction of SARS-CoV-2 nucleic acid so that the COVID-19 screening process has the potential to be hampered. Another alternative method that can be used is the heat-treatment (HT) method. This study aims to assess the quality of the results of the RT-qPCR examination for the detection of SARS-CoV-2 using the HT nucleic acid extraction method. The samples were nasopharyngeal and oropharyngeal swabs and then underwent nucleic acid extraction using the magnetic beads extraction (MBE) / commercial kit and the HT method on the same day (less than 6 hours). The nucleic acid extraction results from both methods were then amplified using the RT-qPCR technique, then compared and analyzed the results. The results showed that qualitatively there was a very significant difference in the interpretation of the results between the two nucleic acid extraction methods (McNemar test, p = 0; p < 0.01). Qualitative comparative analysis also showed that there were very significant differences in ct (cycle threshold) values in the SARS-CoV-2 genes detected between the two nucleic acid extraction methods (McNemar test, p = 0; p < 0.01). While the value of ct in human gene between the two methods of nucleic acid extraction qualitatively there was no significant difference (McNemar test, p = 1; p > 0.05). The use of HT method for extraction will be more effective on cells or microorganisms that have genetic material in the form of DNA than RNA. The HT method is not recommended for use in the diagnosis of COVID-19. The use of this method as a screening in moderate to severe symptomatic populations under conditions of limited extraction reagents may be considered.Keywords:  SARS-CoV-2, COVID-19, Heat-Treatment Method, Nucleic Acid Extraction, RT-qPCR
Uji Aktivitas Antifungal Ekstrak Etanol Daun Dewa (Gynura pseudochina (Lour.) DC.) Terhadap Pertumbuhan Candida albicans Dengan Metode Kirby Bauer Commas, Raisa Debrina; Munir, Musnar; Yadi, Yadi
Mulawarman Dental Journal Vol 1, No 2 (2021): MOLAR September 2021
Publisher : Fakultas Kedokteran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/MOLAR.v1i2.5584

Abstract

Fungi merupakan mikroorganisme yang bersifat saprofit dan terdapat luas pada permukaan tubuh manusia, dalam keadaan menginfeksi manusia disebut Kandidiasis. Terdapat kasus Kandidiasis di rongga mulut dengan dominan Candida albicans 45% pada neonatus, 45-65% anak-anak, 30-45% dewasa, 90% pada pasien leukimia akut dan 95% pada pasien HIV. Daun Dewa (Gynura pseudochina (Lour.) DC.) adalah tanaman yang sering digunakan oleh masyarakat sebagai obat tradisional berkhasiat untuk berbagai penyakit, seperti obat demam, kanker, kencing manis, tekanan darah tinggi, dan penyakit kulit. Pada kandungan tanaman Daun Dewa didapatkan beberapa senyawa aktif yang berperan sebagai antifungal seperti Flavanoid, Alkaloid, Saponin, Tanin, dan Minyak Atsiri. Tujuan dari penelitian ini adalah Untuk mengetahui efek antifungal ekstrak etanol Daun Dewa (Gynura pseudochina (Lour.) DC) terhadap pertumbuhan Candida Albicans dengan metode Kirby Bauer. Desain penelitian ini adalah post test only control group design meggunakan uji Disc Diffusion (Kirby-Bauer test). Penelitian ini menggunakan fungi Candida albicans yang diberi perlakuan ekstrak etanol Daun Dewa (Gynura pseudochina (Lour.) DC.) dengan konsentrasi sebesar 10%, 15%, dan 20%. Kemudian dilakukan pengulangan sebanyak 5 kali. Keseimpulan penelitian ini menunjukkan bahwa esktrak etanol Daun Dewa (Gynura pseudochina (Lour.) DC.) tidak membentuk zona hambat disekitar paper disc terhadap pertumbuhan fungi Candida albicans pada semua konsentrasi. Ekstrak etanol Daun Dewa (Gynura pseudochina (Lour.) DC) tidak memiliki efek antifungal terhadap pertumbuhan Candida Albicans menggunakan metode Kirby Bauer.Kata Kunci: Antifungal, Daun Dewa (Gynura pseudochina (Lour.) DC.), Candida albicans
Co-Authors Abdul Rahman Adrianto, Ratno Agung Saputra Akhmad Azmiardi Akhmad Marhadi Alhawaris, Alhawaris Asminah Asminah, Asminah Azmiyati, Afifah Cahyana, Yudi Jaya Carolina, Debi Commas, Raisa Debrina Dewi, Asri Puspita Dewi, Rahmalia Distiliana, Distiliana Efan Erlina Erlina Fajar, Erwin Gusmaliza, Debi Hardiyanti Hardiyanti Hastati, Sri Irfansyah Baharuddin Pakki ismail , Sjarief Kusuma, Rahmat Wijaya Lestari, Ida Ayu Indira Dwika Liana, Disti Lilies Anggarwati Astuti, Lilies Anggarwati Masdalipa, Risnaini Masitoh, Gustina Masyhudi Masyhudi, Masyhudi Miftakhur Rohmah, Miftakhur Mochamad Makin, Mochamad Muhammad Noor Munir, Musnar Nataniel Tandirogang Novianty, Melisa Nuryanni Dihin Utami, Nuryanni Dihin Padya, Inka Rizki Pasinggi, Miako Pramasari, Cristiani Nadya Purba, Mariana Purnamasari, Cicih Bhakti Samiaji, Airvin Wika Silvia Anitasari, Silvia Silvia, Anitasari Sinar, Yani Subando, Joko - Thabry, Rudy Widiyaningsih, Heny Surya Yani, Sinar Yuniati Yuniati