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All Journal Teknika Jupiter Biota: Jurnal Ilmiah Ilmu-Ilmu Hayati Pendidikan Bahasa Inggris Jurnal Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business JOURNAL OF HEALTHCARE TECHNOLOGY AND MEDICINE JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal TAM (Technology Acceptance Model) Jurnal Informasi dan Komputer Aptisi Transactions on Technopreneurship (ATT) Jurnal Inovasi Pendidikan Building of Informatics, Technology and Science SERAMBI: Jurnal Ekonomi Manajemen dan Bisnis Islam Sainstek : Jurnal Sains dan Teknologi Bulletin of Computer Science Research Educate: Jurnal Ilmu Pendidikan dan Pengajaran Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Jurnal Ilmiah Mahasiswa Pendidikan Agama Islam Jurnal Informatika: Jurnal Pengembangan IT Jurnal Ilmu Siber dan Teknologi Digital INOVTEK Polbeng - Seri Informatika Jurnal TAM (Technology Acceptance Model)
Chairani Chairani
Institut Informatika Dan Bisnis Darmajaya
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Visualisasi Data Analisa Sentimen RUU Omnibus Law Kesehatan Menggunakan KNN dengan Software RapidMiner Tupari, Tupari; Abdullah, Syaukani; Chairani, Chairani
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 3 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i3.5641

Abstract

The government's decision to discuss the RUU Omnibus law on health has become a controversial topic in society, especially among users of the Twitter social media platform. Users express their opinions regarding their stance on the RUU Omnibus law through tweets on Twitter. With diverse comments from users, it is essential to classify and visualize them into useful information about the positive and negative sentiments towards the RUU on health. This is crucial to understand the public's response to this policy. A total of 2406 sentiment data from Twitter users were collected using the RapidMiner software. Before analyzing the data using the K-Nearest Neighbors (KNN) algorithm, data preprocessing was carried out. After preprocessing, 2.406 data points were obtained, which were then divided into 1.684 tweets for testing and 722 tweets for training. The data was then processed using the KNN algorithm model executed in the RapidMiner software. The results of the data processing were presented in the form of tables, graphs, and word clouds, aligning with the research objective of providing clear and easily understandable visualizations about the RUU on health. This facilitates understanding for stakeholders without technical backgrounds to grasp the meaning and sentiments expressed. The research results indicate that the testing of K-Nearest Neighbors (KNN) yielded a high accuracy value, making it well-visualized at 84.58%. This indicates that the KNN model is highly successful in analyzing Twitter users' opinions on the Health Omnibus Law based on the data used and its ability to visualize effectively
Analisis Performa Model BiLSTM dan CNN-LSTM Dalam Prediksi Sea Water Level Pada Pelabuhan Berdasarkan Data Historis Kristyanto, Andi; Chairani, Chairani; Sriyanto, Sriyanto
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7364

Abstract

Indonesia is a country dominated by waters, so data on sea level rise, one of maritime weather is important. The Meteorology, Climatology, and Geophysics Agency one of its duties, namely conducting observations in meteorology. The Merak-Bakauheni Port serves the busiest crossing route in Indonesia and connects the islands of Java and Sumatra. If there is a disruption due to meteorological factors, shipping and sea transportation activities will be hampered and disrupted. The purpose of this study is to compare the performance of the BiLSTM and CNN-LSTM models in estimating sea water levels at Merak Port based on the results of the parameter analysis used. The steps begin with collecting, processing data, training the model, and analyzing the model. The data used is daily sea water level data over a period of six years from 2019 to 2024. Evaluation of MSE, MAE and RMSE values ​​is used to see the performance of the two models. From this study, the BiLSTM model produced values ​​of 0.0026 (MSE), 0.0224 (MAE), and 0.0512 (RMSE), the CNN-LSTM model values ​​of 0.0044 (MSE), 0.0319 (MAE), and 0.0664 (RMSE), it can be seen that BiLSTM method has more optimal in predicting sea water levels of Merak Port.
Hubungan Pola Asuh Ibu dengan Karies Gigi Anak Balita di TK Perkebunan Nusantara I Kota Langsa Tahun 2019 Chairani, Chairani; Harahap, Juliandi; Zein, Umar
JOURNAL OF HEALTHCARE TECHNOLOGY AND MEDICINE Vol 9, No 1 (2023): April 2023
Publisher : Universitas Ubudiyah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33143/jhtm.v9i1.2834

Abstract

Masalah karies merupakan penyakit yang sangat luas penyebarannya, dan penderita terbanyak adalah kelompok umur anak-anak. Provinsi Aceh merupakan Provinsi urutan ke-7 dari keseluruhan Provinsi yang ada di Indonesia dengan penduduk yang bermasalah terhadap gigi dan mulut yaitu 30,5%. Sedangkan di lihat dari kelompok usia 1-4 tahun mencapai 10,4%6. Data dari Dinas Kesehatan Kota Langsa pada tahun 2017 angka prevalensi karies gigi pada balita 2-5 tahun adalah sebanyak 306 kasus. Tujuan penelitian ini untuk mengetahui hubungan pola asuh ibu dengan karies gigi anak balita di TK Perkebunan Nusantara I Kota Langsa Tahun 2019. Jenis Penelitian menggunakan survey analitik dengan desain cross sectional. Populasi penelitian ini adalah seluruh anak yang mengalami karies gigi di TK Perkebunan Nusantara I Kota Langsa. Sampel penelitian diambil dari populasi sebanyak 89 orang dengan masing-masing strata (proportional startifed sampling) dan sampel sebanyak 73 responden. Teknik analisa data menggunakan analisa univariat, bivariat dan multivariat dengan menggunakan uji regresi logistik. Hasil penelitian menunjukkan pengaruh yang signifikan hubungan pola asuh ibu berdasarkan dimensi kontrol (p-value 0,001), dimensi kehangatan (p- value 0,000), dan jenis pola asuh ibu (p-value 0,002) terhadap karies gigi pada anak. Kesimpulan pada penelitian ini menunjukkan bahwa sub variabel dimensi kehangatan menjadi penyebab utama karies gigi dengan nilai OR sebesar 13,349 dan IK 3,386-52,632. Saran penelitian ini diberikan kepada orang tua agar memperhatikan pola asuh terhadap anak untuk pencegahan terjadinya karies sejak dini, terutama memberikan motivasi dan perhatian serta contoh perilaku kepada anak untuk selalu menjaga kebersihan gigi. Serta diadakan program penyuluhan dari institusi kesehatan agar informasi tentang perawatan gigi anak dapat diketahui orang tua untuk mengatasi kasus karies.Kata kunci : Karies Gigi, Dimensi Kontrol, Dimensi Kehangatan, Jenis Pola Asuh.The problem of caries is a very widespread disease, and most sufferers are children in the age group. Aceh Province is the 7th province of all provinces in Indonesia with a population with oral and dental problems, namely 30.5%. Whereas seen from the age group 1-4 years it reaches 10.4% 6. Data from the Langsa City Health Office in 2017, the prevalence rate of dental caries in children 2-5 years old was 306 cases. The purpose of this study was to determine the relationship between maternal parenting and dental caries in children under five at Kindergarten Perkebunan Nusantara I Langsa City in 2019. This type of research used analytical survey with cross sectional design. The population of this study were all children who had dental caries in TK Perkebunan Nusantara I Langsa City. The research sample was taken from a population of 89 people with each strata (proportional started sampling) and a sample of 73 respondents. Data analysis techniques used univariate, bivariate and multivariate analysis using logistic regression tests. The results showed a significant influence on the relationship between maternal parenting based on the control dimension (p-value 0.001), warmth dimension (p-value 0.000), and the type of parenting style (p-value 0.002) on dental caries in children. The conclusion of this study shows that the sub-variable of the warmth dimension is the main cause of dental caries with an OR value of 13.349 and CI 3.386-52.632. Suggestions for this study are given to parents to pay attention to child care patterns to prevent caries from an early age, especially to provide motivation and attention as well as examples of behavior for children to always maintain dental hygiene. As well as an extension program from health institutions so that information about children's dental care can be known by parents to deal with caries cases.Keywords: Dental Caries, Control Dimension, Warm Dimension, Type of                       Parenting.
Co-Authors Abdullah, Syaukani Adeng Slamet Aditya, Fiqri Akhmad Unggul Priantoro Ayu Zulfiani Azima, Muhammad Fauzan Belinda Analido Dedi Kundana Diki Andita Kusuma DWI SURYANTO Elpisah Fitria . Fitria . Fitria Fitria Harahap, Juliandi Hari Sabita Haris Luthfi, Muhammad Herwanto, Riko Kesuma, Martika Ketang Wiyono Kristyanto, Andi Lubis, Nita A. Luh Putu Ratna Sundari M Devid Alam Carnegie Novita, Eka Nur Listanto, Arif pratama, febri Rachma Zannati Rian Sefriadi Rifki, Rifki Arif Rio Kurniawan Rusika, Deddy Setiawan, Gatot B Sherly Trisnawati Siti Mukodimah Siti Nurhaliza Sri Suning Kusumawardani Sriyanto Sriyanto Sriyanto Sriyanto Sulyono Sunarso Sunarso Triloka, Joko Tupari Tupari Umar Zein W, Muhammad Fahreza Widyawan Yafik, Muhammad Ikrom Yuda Septiawan Yuni Arkhiansyah Yurnaliza, Yurnaliza