158 research outputs found
Exploring Research Trends and Impact: A Bibliometric Analysis of RESTI Journal from 2018 to 2022
Get PDFThis study provides a comprehensive analysis of the RESTI Journal, a prominent publication in the field of systems engineering and information technology. The analysis aims to evaluate the journal's publication output, citation impact, and overall contribution to the field. The study utilizes data from the Dimensions database, focusing on articles published between 2018 and 2022, resulting in a dataset of 594 articles. To analyze the collected data, the study employs bibliometric and network visualization tools such as Bibliometrix and VOSviewer. The analysis reveals a notable increase in the number of publications over time, indicating a growing interest and research activity in the field. Furthermore, the distribution of author productivity deviates from Lotka's law, highlighting variations in author patterns and productivity levels. An examination of institutional affiliations reveals Telkom University as the dominant institution, making a substantial contribution to the journal. Visualizations based on author-provided titles, abstracts, and keywords highlight research trends in image recognition and classification, with a particular emphasis on utilizing Convolutional Neural Networks (CNN) and Support Vector Machines (SVM). Overall, this study provides valuable insights into the performance and trends of the RESTI Journal. The findings contribute to a deeper understanding of the journal's impact and its role in advancing knowledge in systems engineering and information technology. These insights can inform researchers, practitioners, and stakeholders in the field, guiding future research directions and enhancing the scholarly impact of the RESTI Journal
PENERAPAN METODE INKUIRI UNTUK MENINGKATKAN KEMAMPUAN BERFIKIR KREATIF SISWA DALAM PEMBELAJARAN IPS MATERI MENGENAL KERAGAMAN BUDAYA DI INDONESIA KELAS V (PTK DI SDN NYAPAH 2 KOTA SERANG)
Get PDFResti Alifia Rahmawati (2022) “Penerapan Metode Inkuiri Untuk Meningkatkan Kemampuan Berfikir Kreatif Siswa Dalam Pembelajaran Ips Materi Mengenal Keragaman Budaya Di Indonesia Kelas V (PTK di SDN Nyapah 2 Kota Serang)”.
Mengembangkan kemampuan berpikir kreatif siswa dalam keanekaragaman budaya. Disini peneliti menemukan masalah yakni adanya kekurangan pada hasil belajar IPS siswa di kelas V yang menunjukan banyak siswa nilainya tidak mencapai KKM. karena pada dasarnya hanya menggunakan metode ceramah, sehingga peserta didik kurang aktif, kurang merealisasikan ilmu di kehidupan konkret, kurang dapat mengembangkan minatnya, berpikir kritis peserta didik tidak berkembangan begitupun daya pikir yang mengakibatkan nilai hasil belajar peserta didik tidak bagus. Penelitian ini dilaksanakan kepada siswa kelas 5 Sekolah Dasar Negeri Nyapah 2 kepada 41 orang peserta didik. Telah dilakukan 2 siklus dengan metode penelitian tindakan kelas (PTK). Teknik pengumpulan data menggunakan observasi, wawancara dan dokumentasi. Hasil penelitian terlihat adanya peningkatkan hasil belajar pada siswa. Peningkatan ini ditunjukkan pada hasil perolehan pembelajaran IPS tentang ada siklus I aktivitas guru memperoleh persentase skor 70,83% dengan kualifikasi cukup, meningkat pada siklus II memperoleh persentase skor sebesar 87,5% dengan kualifikasi sangat baik. Sedangkan pada siklus I aktivitas siswa memperoleh persetase skor sebesar 57,92% dengan kualifikasi cukup, kemudian mengalami peningkatan yang signifikan pada siklus II memperoleh yaitu memperoleh persentase skor sebesar 84,75% dengan kualifikasi baik.
Kata kunci : Pembelajaran IPS, Berpikir Kreatif, Budaya, Inkuiri
Resti Alifia Rahmawati (2022) “Application Of Inquiry Methods To Improve Students' Creative Thinking Ability In Learning Ips Materials To Recognize Cultural Diversity In Indonesia Class V (Classroom Action Research At Sdn Nyapah 2 Serang City)”.
Develop students' creative thinking skills in cultural diversity. Here the researchers found a problem, namely the lack of social studies learning outcomes for students in class V, which showed that many students did not reach the KKM. because basically it only uses the lecture method, so that students are less active, do not realize knowledge in concrete life, are less able to develop their interests, students' critical thinking does not develop as well as thinking power which results in the value of student learning outcomes is not good. This research was carried out to the 5th graders of the Nyapah State Elementary School to 41 students. Two cycles have been carried out using the Class Action Research (CAR) method. Data collection techniques using observation, interviews and documentation. The results showed an increase in student learning outcomes. This increase is shown in the results of the acquisition of social studies learning about the first cycle of teacher activity obtaining a score percentage of 70.83% with sufficient qualifications, increasing in the second cycle obtaining a percentage score of 87.5% with very good qualifications. Meanwhile, in the first cycle of student activity, students obtained a score percentage of 57.92% with sufficient qualifications, then experienced a significant increase in the second cycle, namely obtaining a score percentage of 84.75% with good qualifications.
Keywords : Social Studies Learning, Creative Thinking, Culture, Inquir
Pelatihan Ketrampilan Resiliensi Untuk Meningkatkan Resiliensi Pada Pegawai Negeri Sipil Yang Mengalami Paska-Stroke Di Kabupaten Kediri.
No full textABSTRAK Rahmawati, Resti. 2017. Pelatihan Ketrampilan Resiliensi Untuk Meningkatkan Resiliensi Pada Pegawai Negeri Sipil Yang Mengalami Paska-Stroke Di Kabupaten Kediri. Skripsi, Jurusan Psikologi, Fakultas Pendidikan Psikologi, Universitas Negeri Malang. Pembimbing : (I) Dr. Tutut Chusniyah, M.Si. (II) Diantini Ida Viatrie, S.Psi., M.Psi. Kata Kunci : Pelatihan Ketrampilan Resiliensi, Pegawai Negeri Sipil Paska-Stroke.Pegawai Negeri Sipil perlu diberikan pelatihan untuk membantu meningkatkan resiliensinya setelah mengalami paska-stroke, keterampilan resiliensi sangat penting dimiliki oleh individu yang mempunyai masalah dan perubahan secara fisik seperti yang dialami oleh penderita paska-stroke agar dapat menjadikannya mampu bertahan dengan keadaan hidup sekarang dan masa yang akan datang.Tujuan dari pelatihan ini adalah untuk mengetahui adakah efek pelatihan ketrampilan resiliensi dalam meningkatkan resiliensi pada Pegawai Negeri Sipil yang mengalami paska-stroke di Kabupaten Kediri. Penelitian ini menggunakan rancangan penelitian eksperimen, dengan desain penelitian pretest-posttest control grup design. Untuk pengambilan data dalam penelitian ini menggunakan skala resiliensi dari Reivich dan Shatte, dengan subjek Pegawai Negeri Sipil yang mengalami paska-stroke di Kabupaten Kediri yang berjumlah 60 subjek.Analisis penelitian menggunakan Uji F. Hasil penelitian menunjukkan bahwa pelatihan ketrampilan resiliensi efektif untuk meningkatkan resiliensi pada Pegawai Negeri Sipil yang mengalami paska-stroke di Kabupaten Kediri. Saran yang dapat diberikan dari penelitian ini adalah : (1) untuk Pegawai Negeri Sipil Paska-Stroke : diharapkan Pegawai Negeri Sipil paska-stroke dapat tetap mempertahankan dan meningkatkan ketrampilan resiliensi yang ada pada dirinya. (II) untuk Pemerintah setempat di Kabupaten Kediri : diharapkan Pegawai Negeri Sipil yang belum mendapatkan pelatihan ketrampilan resiliensi dapat memperoleh pelatihan yang bersifat kuratif maupun pelatihan yang bersifat preventif dari pemerintah setempat. (III) untuk peneliti selanjutnya : disarankan untuk lebih fokus mengendalikan variabel-variabel lain, menyeleksi peserta secara random assignment dan trainer sebaiknya bukan peneliti melainkan menggunakan trainer dari luar
PERTUMBUHAN JAMUR PADA MEDIA BIJI KLUWIH DAN BIJI NANGKA SEBAGAI SUBSTITUSI MEDIA PDA
Get PDFTHE GROWTH OF FUNGUS IN KLUWIH AND NANGKA SEEDS MEDIA
AS A SUBSTITUTION PDA MEDIA.
Resti Rahmawati, A420120048, Department of Biology Education, School of
Teacher Training and Education, Muhammadiyah University of Surakarta, March,
XVI+32
ABSTRACT
PDA is the most media to grow the fungus, but the price of this media is
expensive so it need an alternative media that easy and cheap to get it. This study
aims to determine the growth of Aspergillus niger in alternative kluwih and nangka
seeds media. This research was an experimental study using a completely
randomized design (CRD) one factor was the type of media is PDA (M0), kluwih
seed media (M1), nangka seed media (M2) and using the test fungus A. niger (J1).
Inoculation of A. niger used agar block method for 3 days with a temperature of
28⁰C. Parameter of research was colony diameter and sporulation of A. niger. Data
were analyzed with descriptive qualitative methods. The result of this research
showed that the best growth for Aspergillus niger was after 72 hours incubation,
colony diameter continually in PDA media, kluwih seed media, nangka seed media is
4,7 cm, 4,3 cm, 4,1 cm with heavy sporulation. So, the conclution is that kluwih and
nangka seeds media can be use as a substitution of PDA media for the growth of
fungus.
Keyword : kluwih and nangka seeds, Aspergillus niger, PDA
Implementation of Naïve bayes Method for Predictor Prevalence Level for Malnutrition Toddlers in Magelang City
Get PDFNutritional status is an important factor in assessing the growth and development rate of babies and toddlers. Cases of malnutrition are increasing, especially in magelang city. Because nutritional problems (Malnutrition) can affect the health of toddlers. Therefore, this study aims to predict the level of prevalence of malnutrition with the Naïve Bayes method. This research uses an observational design, a single center study at the Magelang City Office, using the Naïve bayes method which is used as an application of time series data, and is most widely used for prediction, especially in data sets that have many categorical or nominal type attributes. The Naïve bayes method is used to predict such cases of malnutrition. The results of this study show that the Naïve Bayes method succeeded in predicting the magnitude of cases of malnourished toddlers in Magelang City with an accuracy percentage of 75% due to the very minimal amount of training data, and the areas that have the most malnutrition are in three areas, namely Magersari, North Tidar and Panjang.
Nutritional status is an important factor in assessing the growth and development rate of babies and toddlers. Cases of malnutrition are increasing, especially in magelang city. Because nutritional problems (Malnutrition) can affect the health of toddlers. Therefore, this study aims to predict the level of prevalence of malnutrition with the Naïve Bayes method. This research uses an observational design, a single center study at the Magelang City Office, using the Naïve bayes method which is used as an application of time series data, and is most widely used for prediction, especially in data sets that have many categorical or nominal type attributes. The Naïve bayes method is used to predict such cases of malnutrition. The results of this study show that the Naïve Bayes method succeeded in predicting the magnitude of cases of malnourished toddlers in Magelang City with an accuracy percentage of 75% due to the very minimal amount of training data, and the areas that have the most malnutrition are in three areas, namely Magersari, North Tidar and Panjang
Improving Diabetes Prediction Accuracy in Indonesia: A Comparative Analysis of SVM, Logistic Regression, and Naive Bayes with SMOTE and ADASYN
Get PDFThis study aims to enhance the accuracy of diabetes prediction models in Indonesia by comparing the performance of Support Vector Machines (SVM), Logistic Regression, and Naïve Bayes algorithms, both with and without synthetic oversampling techniques such as SMOTE and ADASYN. The research addresses the issue of imbalanced datasets in medical diagnostics, specifically in predicting diabetes among Indonesian patients, where such imbalance often leads to biased predictions. A comprehensive dataset comprising 657 patient records from a Regional General Hospital in Indonesia was used, with 70% of the data allocated for training and 30% for testing. The results indicate that the SVM model combined with SMOTE achieved the highest accuracy of 95.8% and an AUC of 99.1, underscoring the effectiveness of these techniques in improving prediction performance. The findings of this study highlight the importance of selecting appropriate oversampling methods and algorithms to optimize diabetes prediction accuracy in the Indonesian context, providing valuable insights for future healthcare strategies
Covid-19 Fake News Detection on Twitter Based on Author Credibility Using Information Gain and KNN Methods
Get PDFTwitter is one of the social media that is used as a tool to share various kinds of information about various kinds of things that are of concern to social media users. One of the information shared is information about COVID-19, which is known that the COVID-19 pandemic is currently spreading throughout the world at a very alarming rate. COVID-19 is an infectious disease caused by SARS-COV-2. The World Health Organization (WHO) claims that the spread of COVID-19 is supported by the spread of false/fake news. So to find out the truth of the news, a COVID-19 fake news detector is needed so that users don't fall for the hoaxes circulating. This study aims to classify COVID-19 news on Twitter based on author credibility. Credibility in question is a person's perception of the validity of information and is a multidimensional concept that is used as a means of receiving information to assess the source of communication. The method used in this research is Information Gain and KNN. KNN (K-Nearest Neighbor) is a supervised learning algorithm that works by classifying a set of data based on classified training data. Information Gain is used to ranking the most influential attributes, and KNN is used to classify data based on learning data taken from the nearest neighbors. The research consists of 6 main stages, namely data collection (crawling data), data preprocessing, feature extraction, feature selection, data split into training data and testing data, KNN stage, and data evaluation stage. The research carried out succeeded in obtaining an accuracy value of 91%, a correlation value between credibility and hoax of 0.115, and a p-value <0.005.
Twitter is one of the social media that is used as a tool to share various kinds of information about various kinds of things that are of concern to social media users. One of the information shared is information about COVID-19, which is known that the COVID-19 pandemic is currently spreading throughout the world at a very alarming rate. COVID-19 is an infectious disease caused by SARS-COV-2. The World Health Organization (WHO) claims that the spread of COVID-19 is supported by the spread of false/fake news. So to find out the truth of the news, a COVID-19 fake news detector is needed so that users don't fall for the hoaxes circulating. This study aims to classify COVID-19 news on Twitter based on author credibility. Credibility in question is a person's perception of the validity of information and is a multidimensional concept that is used as a means of receiving information to assess the source of communication. The method used in this research is Information Gain and KNN. KNN (K-Nearest Neighbor) is a supervised learning algorithm that works by classifying a set of data based on classified training data. Information Gain is used to ranking the most influential attributes, and KNN is used to classify data based on learning data taken from the nearest neighbors. The research consists of 6 main stages, namely data collection (crawling data), data preprocessing, feature extraction, feature selection, data split into training data and testing data, KNN stage, and data evaluation stage. The research carried out succeeded in obtaining an accuracy value of 91%, a correlation value between credibility and hoax of 0.115, and a p-value <0.005
K Nearest Neighbor Imputation Performance on Missing Value Data Graduate User Satisfaction
Get PDFA missing value is a common problem of most data processing in scientific research, which results in a lack of accuracy of research results. Several methods have been applied as a missing value solution, such as deleting all data that have a missing value, or replacing missing values with statistical estimates using one calculated value such as, mean, median, min, max, and most frequent methods. Maximum likelihood and expectancy maximization, and machine learning methods such as K Nearest Neighbor (KNN). This research uses KNN Imputation to predict the missing value. The data used is data from a questionnaire survey of graduate user satisfaction levels with seven assessment criteria, namely ethics, expertise in the field of science (main competence), foreign language skills, foreign language skills, use of information technology, communication skills, cooperation, and self-development. The results of testing imputation predictions using KNNI on user satisfaction level data for STMIK PPKIA Tarakanita Rahmawati graduates from 2018 to 2021. Where using the five k closest neighbors, namely 1, 5, 10, 15, and 20, the error value of the k nearest neighbors is 5 in RMSE is 0, 316 while the error value using MAPE is 3,33 %, both values are smaller than the value of k other nearest neighbors. K nearest neighbor 5 is the best imputation prediction result, both calculated by RMSE and MAPE, even in MAPE the error value is below 10%, which means it is very good.
A missing value is a common problem of most data processing in scientific research, which results in a lack of accuracy of research results. Several methods have been applied as a missing value solution, such as deleting all data that have a missing value, or replacing missing values with statistical estimates using one calculated value such as, mean, median, min, max, and most frequent methods. Maximum likelihood and expectancy maximization, and machine learning methods such as K Nearest Neighbor (KNN). This research uses KNN Imputation to predict the missing value. The data used is data from a questionnaire survey of graduate user satisfaction levels with seven assessment criteria, namely ethics, expertise in the field of science (main competence), foreign language skills, foreign language skills, use of information technology, communication skills, cooperation, and self-development. The results of testing imputation predictions using KNNI on user satisfaction level data for STMIK PPKIA Tarakanita Rahmawati graduates from 2018 to 2021. Where using the five k closest neighbors, namely 1, 5, 10, 15, and 20, the error value of the k nearest neighbors is 5 in RMSE is 0, 316 while the error value using MAPE is 3,33 %, both values are smaller than the value of k other nearest neighbors. K nearest neighbor 5 is the best imputation prediction result, both calculated by RMSE and MAPE, even in MAPE the error value is below 10%, which means it is very good
Political Marketing Calon Kepala Desa Dalam Memenangkan Pemilihan Kepala Desa Tahun 2019 di Desa Sikapat, Kecamatan Sumbang, Kabupaten Banyumas
Get PDFBerlakunya Undang-undang Nomor 23 Tahun 2004 tentang Pemerintahan Daerah mengharuskan pemilihan kepala daerah dilaksanakan secara langsung, termasuk pemilihan kepala desa. Seiring dengan kemajuan teknologi informasi dan komunikasi, untuk menerapkan prinsip-prinsip demokrasi dalam pemilihan kepala desa, maka kandidat calon kepala desa dapat menggunakan pendekatan marketing untuk menyampaikan produk politiknya kepada masyarakat. Penelitian ini bertujuan untuk mengetahui dan mendeskripsikan political marketing calon kepala desa dalam memenangkan pemilihan kepala desa tahun 2019 di Desa Sikapat, Kecamatan Sumbang, Kabupaten Banyumas. Jenis penelitian ini adalah penelitian studi lapangan. Jenis dan sumber data yang akan digunakan dalam penelitian ini meliputi data primer dan data sekunder. Data primer yang akan digunakan dalam penelitian ini bersumber dari wawancara dengan informan yaitu kepala desa terpilih,mantan panitia pilkades, tim sukses, dan tokoh masyarakat. Sedangkan data sekunder adalah sumber data penelitian yang diperoleh melalui perantara atau data yang sudah tercatat dalam buku, dokumentasi berupa foto, maupun berasal dari suatu laporan. Instrumen penelitian adalah peneliti sendiri yang dalam pelaksanaannya menggunakan pedoman wawancara. Teknik pengumpulan data dalam penelitian ini yaitu observasi, wawancara, dan dokumentasi. Teknik pemeriksaan keabsahan data menggunakan triangulasi sumber. Hasil penelitian menunjukkan bahwa political marketing yang diterapkan oleh kandidat calon kepala desa Sikapat-dalam hal ini Sunar Suchedi menggunakan pendekatan Partai Berorientasi Produk (Product Oriented Party/POP) di mana beliau memfokuskan produk politik yang dimiliki.
Kata kunci: political marketing, strategi kampanye, pilkade
Menurunkan gejala kecemasan pada gangguan kecemasan umum dengan cognitive therapy
No full textAnxiety disorder is a condition characterized by excessive and uncontrollable anxiety, fear, and worry in everyday life for no apparent reason. People with anxiety disorders usually tend to always have bad thoughts or distorted thought patterns, for example feeling that something bad will happen to them and can\u27t stop at work and other important aspects so that their daily life is dominated by worry and fear. This subject has a distorted thinking that causes him to experience anxiety disorders. The assesment method was clinical interviews, observation, BAUM and DAP tests, self-reports and the Beck’s Anxiety Inventory. Cognitive therapy used to reduce anxiety levels
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