158 research outputs found
Exploring Research Trends and Impact: A Bibliometric Analysis of RESTI Journal from 2018 to 2022
No full textThis 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
PENDAYAGUNAAN ZAKAT PRODUKTIF DALAM MENINGKATKAN EKONOMI MUSTAHIK (STUDI ROEMAH JAMUR DOMPET DHUAFA RIAU)
No full textABSTRAK
Nama : Resti Wahyuni
Jurusan : Manajemen Dakwah
Judul : Pendayagunaan Zakat Produktif Dalam Meningkatkan Ekonomi
Mustahik (Studi Roemah Jamur Dompet Dhuafa Riau)
Penelitian ini bertujuan untuk mengetahui bagaimana pendayagunaan zakat produktif
dalam meningkatkan ekonomi mustahik studi roemah jamur dompet dhuafa riau.
Pendayagunaan zakat produktif adalah sebuah usaha bentuk pemanfaatan dana zakat
secara maksimal untuk mendapatkan hasil yang lebih baik dan membentuk
kemandirian mustahik. Penelitian ini menggunakan pendekatan kualitatif dan
menggunakan jenis penelitian deskriptif. Data ini diperoleh melalui observasi,
wawancara, dan dokumentasi. Sedangkan teori yang peneliti gunakan dari literatur
buku M. Daud Ali mengenai pendayagunaan produktif kreatif guna melihat
bagaimana pendayagunaan zakat ini dalam meningkatkan ekonomi mustahik dalam
program roemah jamur. Hasil penelitian ini menunjukkan bahwa pendayagunaan
zakat produktif mampu meningkatkan ekonomi mustahik melalui 3 tahapan yaitu
Pertama, pemberian modal guna mengembangkan usaha. Kedua, pembinaan ilmu
pengetahuan mustahik sesuai dengan usaha yang akan dijalankan, dan Ketiga
pengawasan dengan tujuan agar mustahiq melakukan usaha lebih tekun dan
pendayagunaan dana zakat produktif yang selanjutnya bisa lebih baik sehingga
mampu membentuk kemandirian serta meningkatkan ekonomi mustahik.
Kata Kunci: Pendayagunaan, Zakat Produktif, Ekonomi Mustahi
Penerapan Konsep Pendidikan Kasih Sayang Di Sekolah Rendah Islam Alor Setar Kedah Malaysia
No full textABSTRACT APPLICATION OF AFFECTION EDUCATION CONCEPT AT ISLAMIC LOW SCHOOL ALOR SETAR KEDAH MALAYSIA. BY: RESTI WAHYUNI 152410134 This research is motivated by the problem of affection education. Whereas affection is an important aspect in daily activities, especially in learning. Therefore, in increasing affection, teachers should use the concepts and strategies of affection education including in terms of concepts, namely by implementing secure services, the school caring community, the beauty and cheerfulness of the school, the application of values and morals, the parents program, and development programs in schools, while in terms of its strategy, the teacher makes the class as comfortable as possible, communicates with students. The concept of compassion education creates cooperation between fellow teachers and students, students to students. Based on these problems the researchers made research on the Application of Affection Education Concept at Islamic Low School Alor Setar Kedah Malaysia. The research examined how the concept of affection education concept is applied and compare the concepts of affection in Indonesia and Malaysia. From this problem arises how the application of affection education at Islamic low school Alor Setar Kedah Malaysia. The purpose of this study was to find out the concept of love education at the Alor Setar Kedah Islamic Low School in Malaysia. The type of the research is a qualitative case study. The subjects are principals and teachers of Islamic low school Alor Setar Kedah Malaysia. The object is the concept of affection education concept at Islamic low school Alor Setar Kedah Malaysia. The data collection techniques are interviews and documentation. The data analysis data are data reduction and data presentation. The conclusions as follows: first the concept of affection education. Second, strategy of affection education
Studi Deskriptif Tentang Hambatan-Hambatan Pada Proses Pembelajaran Tematik Di Kelas 2 Sekolah Dasar di Kecamatan Mejobo Kudus Tahun Ajaran 2008/2009
No full textArif Nur Wahyuni, Resti. 2008. ”Studi Deskriptif Tentang Hambatan-Hambatan Pada Proses Pembelajaran Tematik Di Kelas 2 Sekolah Dasar di Kecamatan Mejobo Kudus Tahun Ajaran 2008/2009”. Skripsi. Jurusan Bimbingan Konseling Fakultas Ilmu Pendidikan Universitas Negeri Semarang. Pembimbing: Dra. Hj. Awalya, M.Pd dan Dra. Hj. SS. Dewanti, M.Pd
Kata kunci: hambatan-hambatan pembelajaran tematik
Pembelajaran tematik adalah solusi terbaik guna melatih anak untuk berpikir kreatif. Akan tetapi sesuatu yang baru belum tentu dapat dilakukan dengan baik oleh pelaksana seperti guru. Pembelajaran yang kreatif dan inovatif dalam rangka peningkatan keberhasilan proses kegiatan belajar mengajar sangat diperlukan bagi siswa kelas rendah, terutama dengan metode pembelajaran tematik Survey awal melalui observasi dan wawancara, ditemukan fakta tentang pembelajaran tematik. Guru Sekolah Dasar tidak maksimal dalam melaksanakan pembelajaran tematik karena kurangnya pemahaman tentang pembelajaran tematik secara utuh, belum disesuaikannya waktu pelaksanaan, minimnya sumber-sumber belajar yang ada, dan sarana prasarana yang belum lengkap. Penelitian ini bertujuan untuk mengetahui bagaimana hambatan-hambatan yang ditemui oleh guru di kelas 2 Sekolah Dasar dalam pelaksanaan pembelajaran tematik di dalam kelas.
Populasi yang digunakan dalam penelitian ini adalah seluruh guru di kelas 2 Sekolah Dasar di Kecamatan Mejobo Kabupaten Kudus tahun ajaran 2008/2009, berjumlah 45 orang guru. Sampel dalam penelitian ini dilakukan dengan teknik probability sample atau sampel wilayah, karena terdapat perbedaan ciri antara sekolah yang satu dengan yang lain, dan berjumlah 30 orang guru. Peneliti memilih angket sebagai metode pengumpulan data karena angket mempunyai karakteristik khusus, yaitu mengungkap fakta-fakta yang ada di lapangan.
Hasil penelitian menunjukkan bahwa terdapat hambatan dalam proses pembelajaran tematik, yaitu sebesar42,75%. Hambatan-hambatan tersebut terbagi menjadi 3, yaitu tahap persiapan, pengelolaan kelas dan perkiraan jadwal kegiatan. Hambatan pada tahap persiapan terjadi pada saat menentukan tema, membuat pemetaan, membuat jaringan tema dan menciptakan model pembelajaran. Hambatan pada pengelolaan kelas terjadi pada saat kegiatan penyesuaian tema, penggunaan metode, pengelolaan kegiatan dan pengorganisasian ruangan. Terahir, hambatan terjadi pada perkiraan jadwal kegiatan pembukaan, inti dan penutup.
Dari hasil penelitian ini dapat disimpulkan bahwa hambatan-hambatan pada proses pembelajaran tematik yang dialami oleh guru di kelas 2 Sekolah Dasar di Kecamatan Mejobo Kabupaten Kudus tahun ajaran 2008/2009 tergolong kriteria sedang. Untuk mengatasi hambatan-hambatan pada proses pembelajaran tematik tersebut, sekolah hendaknya memberikan fasilitas yang baik guna menyikapi adanya pelaksanaan pembelajaran tematik, seperti kerjasama dengan Diknas tentang pengadaan seminar dan Diklat tentang pembelajaran tematik kepada guru-guru pemegang pelajaran tersebut. Selain itu, guru sebagai pengembang dan pelaksana pembelajaran tematik di lapangan dituntut untuk memiliki pemahaman yang utuh tentang pembelajaran tematik di Sekolah Dasar, baik dari sisi perencanaan, pelaksanaan maupun evaluasi. Kerja sama dengan guru kelas lain dalam bentuk team teching atau diskusi dan simulasi microteaching dalam forum Daerah Binaan (Dabin) dapat dilakukan untuk meningkatkan kinerja guru dalam pelaksanaan pembelajaran tematik
The Impact of Cancer on Poverty: An Analytical Study Using Big Data and OLS Regression
No full textCancer is one of the leading causes of death worldwide and has a significant impact on the economic condition of families, especially in developing countries. High medical costs and loss of work productivity often push families of patients with cancer into poverty. This study aimed to analyze the relationship between cancer mortality rates and poverty levels using the Ordinary Least Squares (OLS) regression method and big data covering various socio-economic indicators. The data in this study include cancer mortality rates and other socioeconomic indicators, which were then analyzed using the OLS regression method to understand the quantitative relationship between the two variables. The results of the analysis show a positive correlation between cancer mortality rates and increasing poverty, with the regression model explaining 73.8% of the variation in the target variable. The regression model demonstrated strong explanatory power and minimal error, with an R-squared value of 0.738, indicating that 73.8% of the data variability was explained by the model. Model quality was supported by low AIC (19070.4) and BIC (19110.4) values. Linearity was confirmed by a significant F-statistic of 1314.0 (p < 0.01), suggesting a robust linear relationship between independent and dependent variables. All parameters exhibited statistical significance (p < 0.05) at the 95% confidence level, with mean residuals close to zero, satisfying the unbiased expectation assumption. Although the model results show good performance, the model's estimators show low variance, as evidenced by small standard errors (e.g., Incidence_Rate: 0.009, Med_Income: 1.89e-05) and a Durbin-Watson statistic of 1.725, indicating no autocorrelation. These metrics collectively confirmed the reliability and stability of the regression model
Prediction of Financial Distress in Retail Companies Using Long-Short Term Memory (LSTM)
No full textFinancial distress is a condition in which an entity struggles to meet its debt and operating obligations.. Financial distress can lead to bankruptcy or company closure if corrective action is not taken. This study aims to forecast financial distress in retail companies by utilizing key financial ratios, including Total Asset Turnover (TATO), Current Ratio (CR), Return on Assets (ROA), and Debt-to-Equity Ratio (DER). The analysis is based on secondary data from Indonesian retail companies listed on the Indonesia Stock Exchange (IDX) during the 2022–2024 period. The dataset exhibited missing values and class imbalance, which were addressed using mean imputation and the Synthetic Minority Oversampling Technique (SMOTE), respectivelyTo perform predictions, a Long Short-Term Memory (LSTM) model was implemented. The integration of SMOTE contributed to enhanced detection of the minority class; however, it was accompanied by a slight reduction in overall predictive accuracy. The model demonstrated a performance accuracy of 86%, with a recall rate of 85%, a precision of 100%, and an F1-score of 92%
Pengaruh DayaTarik Iklan Terhadap keputusan Pembelian Honda Scoopy Pada Mahasiswa Universitas Muhammadiyah Sumatera Utara
No full textThe use of Text Clouds in the Pre-Reading Stage of Teaching Recount Texts to the Eighth Graders of SMPN 4 Bojonegoro
No full textABSTRAK Wahyuni, E. R. 2014.The Use of Text Clouds in the Pre-Reading Stage of Teaching Recount Texts to the Eighth Graders of SMPN 4 Bojonegoro. Sarjana Thesis, English Department, Faculty of Letters, State University of Malang. Pembimbing: Francisca Maria Ivone, M.A., Ph.D. Kata kunci: membaca, kemampuan memahami bacaan, text clouds, pre-reading stage, teks recount Dapat ditemukan bahwa siswa kelas VIII H di SMPN 4 Bojonegoro memiliki tiga masalah utama dalam membaca teks recount, yaitu ketepatan memahami kata, penggunaan simple past, dan pemahaman informasi umum dan khusus dalam teks. Penelitian tindakan kelas telah dilakukan untuk mengurangi tiga masalah tersebut dengan menggunakan text clouds di kegiatan pre-reading dalam pengajaran teks recount. Text clouds dipilih sebagai media membaca karena media ini sesuai dengan keinginan siswa yaitu menggunakan media visual dalam kegiatan pembelajaran, dan juga sesuai dengan kebutuhan mereka, yaitu menggunakan media yang dapat membantu mereka dalam memahami text dan meningkatkan motivasi siswa untuk belajar. Setiap cycle dari penelitian tindakan kelas ini terdiri dari perencanaan, pelaksanaan, pengamatan, dan refleksi. Penelitian ini dilaksanakan di SMPN 4 Bojonegoro dan melibatkan 31 siswa kelas VIII H pada tahun ajaran 2013/2014. Peneliti menggunakan tiga instrumen untuk menggumpulkan data, yaitu lembar observasi, questionnaires siswa, dan wawancara guru. Sebagai media visual dari jumlah kemunculan kata, text clouds digunakan dalam pengajaran teks recount untuk meningkatkan pemahaman membaca siswa dalam ketepatan kata, penggunaan simple past, dan informasi umum dan khusus. Media ini diterapkan di kegiatan pre-reading yang terfokus pada pengajaran tiga aspek yang telah disebutkan diatas sebelum mereka membaca teks recount. Hasil temuan dari penilitian menunjukkan bahwa penggunaan text clouds sebagai media membaca mampu meningkatkan kemampuan membaca siswa yang ditunjukkan dari peningkatan kemampuan membaca siswa. Pada ketepatan kata, lebih dari 75% siswa mampu menjawab soal pada aspek tersebut secara benar. Untuk penggunaan simple past, lebih dari 75% jumlah siswa mampu menjawab tes dengan benar pada aspek ini. Dan lebih dari 75% jumlah siswa juga mampu menjawab tes dalam aspek pemahaman informasi umum dan khusus. Dapat disimpulkan bahwa text clouds yang diterapkan dalam kegiatan pre-reading dapat meningkatkan kemampuan membaca siswa dalam tiga aspek. Selain itu, siswa juga menyukai penerapan text clouds dalam kegiatan pre-reading karena merupakan sesuatu yang menyenangkan dan baru untuk mereka. Penggunaan text clouds dalam pengajaran membaca disarankan bagi guru bahasa Inggris yang memiliki karakteristik siswa yang sama. Penelitian selanjutnya pada penerapan text clouds disarankan menggunakan jenis teks yang berbeda dan tahap kegiatan membaca yang lai
Enhancing Problem-Solving Reliability with Expert Systems and Krulik-Rudnick Indicators
No full textProblem-solving is one of the skills needed in the 21st century, but there is a significant gap between the ideal conditions and the reality of students' problem-solving skills. One method that can improve students' problem-solving skills is Krulik and Rudnick, but implementing this method with an expert system to improve problem-solving skills is still limited. This research aims to build an expert system to determine the level of problem-solving using Krulik and Rudnick's problem-solving indicators processed using the forward chaining and certainty factor algorithms. The study had five stages: data analysis, rule generation, certainty measurement, prediction, and testing. The data was processed by developing 5 Krulik and Rudnick problem-solving indicators into 35 statements. Each statement was categorized using Forward Chaining by producing three rules: low, medium, and high. The problem-solving level obtained is calculated using the Certainty Factor for a confidence value. The system's prediction results were evaluated using a confusion matrix, resulting in an accuracy of 80%, a precision of 92%, and a recall of 85%, indicating the system's reliable performance in measuring the level of problem-solving. This research can be used as a reference to support problem-solving in various more advanced educational and professional environments
Covid-19 Fake News Detection on Twitter Based on Author Credibility Using Information Gain and KNN Methods
No full textTwitter 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
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