103 research outputs found
Exploring Research Trends and Impact: A Bibliometric Analysis of RESTI Journal from 2018 to 2022
Full text linkThis 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
Hambatan Pelaksanaan Pembelajaran Bahasa Indonesia Pada Masa Pandemi Covid-19 Studi Fenomenologi Di Smp Negeri 3 Pelalawan
No full textThe focus of this research is the obstacles to the implementation of learning activities experienced by students of SMP Negeri 3 Pelalawan at Pelalawan Regency in learning Indonesian during the Covid-19 pandemic. This study aims to explore and elaborate on the obstacles to implementing learning at SMP Negeri 3 Pelalawan, Pelalawan Regency in learning Indonesian during the Covid-19 pandemic for the 2021/2022 school year. The theory used in this research is online learning, namely Bilfaqih and Yusuf, while in the implementation of learning, namely Trianto. The approach used in this study is a qualitative approach. This research method is a phenomenological research method. Data collection techniques in this study include interviews, note-taking and recording techniques. Based on the results of the research and discussion, it was concluded that the obstacles in the preliminary activities included an unstable network, an uncomfortable learning atmosphere because many friends were noisy because the network was not good, learning videos were intermittent. Obstacles in the core activity were the provision of material via whatsapp so that it did not include learning objectives, students did not understand the previous material, students were late entering the zoom application because they had to find a network to go to the forest or pier. There are also students who don't have cell phones so they have to wait for their parents to come home from work before they can communicate with the teacher. Barriers experienced by students in closing activities, namely the internet quota which ran out during the implementation of closing learning, the internet network was slow and intermittent, if the electricity went out, the internet network would disappear. The location of schools and homes in remote areas limits the reach of the internet network, making it difficult to communicate with teachers and other friends
A Phenomenological Study of The Implementation of Indonesian Language Learning During the Covid-19 Pandemic
Full text linkThis research was motivated by a number of phenomena that occurred in the implementation of online learning at SMP Negeri 3 Pelalawan, Pelalawan Regency. This study uses a qualitative approach with phenomenological methods. Based on the results of the analysis and discussion, it is concluded that the obstacles that occur in the implementation of learning Indonesian are as follows: first, the network is less stable; second, the learning atmosphere is not comfortable because many friends are noisy because the network is not good; third, learning videos are intermittent; fourth, in providing material via whatsapp so that it does not include learning objectives, students do not understand the previous material; fifth, students are late to enter the zoom application because they have to find a network to the forest or the pier. In addition, there are students who do not have cellphones, so they have to wait for their parents to come home from work before they can communicate with the teacher; and Sixth, the internet quota that runs out during the closing learning implementation, if the electricity goes out, the internet network will disappear
A Phenomenological Study of The Implementation of Indonesian Language Learning During the Covid-19 Pandemic
Full text linkThis research was motivated by a number of phenomena that occurred in the implementation of online learning at SMP Negeri 3 Pelalawan, Pelalawan Regency. This study uses a qualitative approach with phenomenological methods. Based on the results of the analysis and discussion, it is concluded that the obstacles that occur in the implementation of learning Indonesian are as follows: first, the network is less stable; second, the learning atmosphere is not comfortable because many friends are noisy because the network is not good; third, learning videos are intermittent; fourth, in providing material via whatsapp so that it does not include learning objectives, students do not understand the previous material; fifth, students are late to enter the zoom application because they have to find a network to the forest or the pier. In addition, there are students who do not have cellphones, so they have to wait for their parents to come home from work before they can communicate with the teacher; and Sixth, the internet quota that runs out during the closing learning implementation, if the electricity goes out, the internet network will disappear
Covid-19 Fake News Detection on Twitter Based on Author Credibility Using Information Gain and KNN Methods
Full text linkTwitter 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
STUDI FENOMENOLOGI PELAKSANAAN PEMBELAJARAN BAHASA INDONESIA PADA MASA PANDEMI COVID-19
Full text linkPenelitian ini dilatarbelakangi adanya sejumlah fenomena yang terjadi pada pelaksanaan pembelajaran daring di SMP Negeri 3 Pelalawan Kabupaten Pelalawan. Penelitian ini menggunakan pendekatan kualitatif dengan metode fenomenologi. Berdasarkan hasil analisis dan pembahasan, diperoleh simpulan bahwa hambatan yang terjadi pada pelaksanaan pembelajaran Bahasa Indonesia yakni sebagai berikut pertama, jaringan kurang stabil; kedua, suasana pembelajaran yang kurang nyaman karena teman banyak yang ribut disebabkan jaringan tidak bagus; ketiga, video pembelajaran terputus-putus; keempat, pada pemberian materi melalui whatsapp sehingga tidak mencantumkan tujuan pembelajaran, siswa kurang mengerti dengan materi lalu; kelima, siswa terlambat masuk aplikasi zoom karena harus mencari jaringan ke hutan atau dermaga. Selain itu terdapat siswa yang tidak memiliki handphone sehingga harus menunggu orang tua pulang kerja barulah dapat berkomunikasi dengan guru; dan Keenam, kuota internet yang habis ketika pelaksanaan pembelajaran penutup, jika listrik padam maka jaringan internet akan hilang
Identifikasi Manajemen Resiko yang diusulkan pada Operasional SME dalam Penerapan Sistem ERP Jangka Panjang.
Full text linkRisk management in business strategic based on the survey that has been done by UKM Ebjed Kaos Factory, Bantul (Yogyakarta) by doing interview directly toward one of the supervisor of the factory which states that the risk in business can affect the part of benefit from the result of their production, it is because in the last few years the results of the expected profits was in fact not stable by applying the strategy, it needs strategy with a frameworks in their ERP system, so that every process of production that has done can have information data which is programmed, analyzed and compared to the risk level of the previous production. All the information data based on their sample of logistic experience in the last few years with an interview approaches model towards 2 from 16 employees, 1 chief inventory staff and the main leader of their UKM factory. The results of this approach Provides almost 80% information that the author needs. Then the author designs and implements a strategy that can generate relevant Information data for the framework of risk management of every logistic area of their UKM. In conclusion, when they’re consider with an efficient strategy, it will surely make a profit for t if every risk faced can be designed and implemented well.Management resiko dalam strategy bisnis berdasarkan survey yang telah dilakukan pada UKM Pabrikan Ebjed Kaos Bantul (Yogyakarta) dengan melakukan wawancara secara langsung terhadap salah satu pengawas produksi yang menyatakan bahwa Resiko dalam bisnis mempengaruhi sebagian keuntungan dari hasil proses produksi mereka. Alasnya karena dalam beberapa tahun terakhir hasil dari setiap produksi pada kenyataanya tidak begitu stabil dengan strategy yang di terapkan, ini membutuhkan stategy dengan sebuah kerangka kerja pada sistem ERP mereka, sehingga setiap proses produksi yang di lakukan mempunyai data informasi yang telah di rancang, di analisa dan dibandingkan tingkat resikonya dengan proses produksi sebelumnya. Semua data informasi berdasarkan sampel pengalaman logistik mereka dalam beberapa tahun terkahir dengan model pendekatan wawancara terhadap 2 dari 16 karyawan, 1 kepala staf persediaan dan pemimpin utama UKM Pabrik mereka. hasil dari pendekatan ini memberikan hampir 80% informasi yang kami butuhkan, kemudian kami merancang dan mengimplementasikan sebuah strategy yang dapat menghasilkan data informasi yang relevan untuk kerangka kerja management resiko dari setiap area logistik UKM mereka. Dengan mengutamakan strategy yang efisien Akan menghasilkan keuntungan jika setiap resiko yang di hadapi dapat dirancangkan di implementasikan dengan baik
CORRELATION BETWEEN STUDENTS’ PRONUNCATION ABILITY AND THEIR READING FLUENCY AT SMK TELKOM PEKANBARU
Full text linkABSTRACT
Resti sarimah (2022): The Correlation Between Students’ Pronunciation and Students’ Reading Fluence at TELKOM Vocational High School Pekanbaru
This research explored about students‟ pronunciation which could help students increase their reading fluency. In the learning process of English course, teachers delivered the learning based on the reference book and predominantly the learning focused on the English skills (listening, speaking, reading, and writing). Especially in their reading skill, the teacher focused on all aspects to develope the students‟ reading skill. As teacher‟s explanation, in teaching reading he/she asked the students to understand the text in front of the class and other students listen to their friends well and corrected the wrong pronunciation when reading the text. Beside that, the teacher also read so that they could read the text fluently.
This research was conducted on grade XI students of TELKOM Vocational High School Pekanbaru consisting of 5 classes with total population 153 students. The author used total sampling as the technique of sample selection. The author used product moment correlation formula from pearson because it took two variables namely independent and dependent variables combined and the scale of data measurement was interval scale.
The research results show that there is correlation between students‟ pronunciation and their reading fluence at TELKOM Vocational High School Pekanbaru. This is supported by the value achieved by the students after the researcher gave a test. The result of Pearson Product Moment Correlation was 0.743. The result of dependency level = 0, in the table of 5% with significance level 0.05. In other words, pronunciation has correlation to the students‟ reading fluence at TELKOM Vocational High School Pekanbaru
Classification of Acute Lymphoblastic Leukemia based on White Blood Cell Images using InceptionV3 Model
Full text linkAcute lymphoblastic leukemia (ALL) is the most common form of leukemia that occurs in children. Detection of ALL through white blood cell image analysis can help with the prognosis and appropriate treatment. In this study, the author proposes an approach to classifying ALL based on white blood cell images using a convolutional neural network (CNN) model called InceptionV3. The dataset used in this research consists of white blood cell images collected from patients with ALL and healthy individuals. These images were obtained from The Cancer Imaging Archive (TCIA), which is a service that stores large-scale cancer medical images available to the public. During the evaluation phase, the author used training data evaluation metrics such as accuracy and loss to measure the model's performance. The research results show that the InceptionV3 model is capable of classifying white blood cell images with a high level of accuracy. This model achieves an average ALL recognition accuracy of 0.9896 with a loss of 0.031. The use of CNN models such as InceptionV3 in medical image analysis has the potential to improve the efficiency and precision of image-based disease diagnosis
Prediksi Jumlah Produksi Akibat Penyebaran Covid-19 Menggunakan Metode Fuzzy Takagi-Sugeno
Full text linkGlobal Bakery is a food company engaged in bread production that is having difficulty determining how much bread will be produced in the event of a pandemic. This study aims to help predict the amount of bread that will be produced during a pandemic. With the benefit of making it easier for companies to determine the amount of bread to be produced. Data obtained from Global Bakery and the official website of Covid-19 Bekasi Regency from March 20, 2020 to April 20, 2020. The author uses the Fuzzy Takagi-Sugeno method to predict the amount of bread that must be produced by Global Bakery during a pandemic with the following stages: fuzzification, rule formation, calculating ɑ-predicate and zi value, then calculating defuzification. Then an evaluation is carried out using the Mean Absolute Percentage Error (MAPE). This study uses Matlab's GUI tools in implementing the Predictor program. The Fuzzy Takagi-Sugeno method is able to predict the amount of bread production at Global Bakery with optimal results, where if the sales are 180 pieces, the remaining sales are 289, and the number of positive cases of Covid-19 is 6 people with the actual production number of 469 pieces, then The prediction results obtained were 347 units. The results of the calculations that have been done obtained the results of accuracy with a good category, namely with a MAPE value of 18.6%.
Global Bakery adalah sebuah perusahaan makanan yang bergerak di bidang produksi roti yang mengalami kesulitan untuk menentukan berapa banyak roti yang akan diproduksi saat terjadi pandemi. Penentuan jumlah roti yang akan diproduksi membutuhkan pertimbangan matang karena pandemi Covid-19 yang terus berkembang. Penelitian ini memilki tujuan untuk membantu memprediksi jumlah roti yang akan diproduksi saat terjadi pandemi. Dengan manfaat untuk mempermudah perusahaan dalam menentukan banyaknya roti yang akan diproduksi. Data diperoleh dari Global Bakery dan website resmi Covid-19 Kabupaten Bekasi sebanyak 32 data dari tanggal 20 Maret 2020 hingga 20 April 2020. Data tersebut digunakan sebagai masukan dari logika fuzzy. Penelitian ini menggunakan metode Fuzzy Takagi-Sugeno untuk memprediksi jumlah roti yang harus diproduksi oleh Global Bakery saat terjadi pandemi dengan tahapan sebagai berikut: fuzzifikasi, pembentukan aturan, menghitung ɑ-predikat dan nilai zi, kemudian menghitung defuzifikasi untuk mendapatkan hasil digunakan sebagai alternatif untuk menentukan jumlah roti yang akan diproduksi. Kemudian dilakukan evaluasi dengan menggunakan Mean Absolute Percentage Error (MAPE). Penelitian ini menggunakan tools GUI Matlab dalam mengimplementasikan program Prediktor. Metode Fuzzy Takagi-Sugeno mampu memprediksi jumlah produksi roti pada Global Bakery dengan hasil yang optimal, dimana jika penjualan sebanyak 180 buah, sisa penjualan sebanyak 289 buah, dan jumlah kasus positif Covid-19 sebanyak 6 orang dengan jumlah produksi aktual sebanyak 469 buah, maka diperoleh hasil prediksi jumlah produksi sebanyak 347 buah. Hasil prediksi tersebut yang dijadikan sebagai acuan penentu banyaknya roti yang akan diproduksi saat pandemi. Hasil perhitungan yang telah dilakukan diperoleh hasil akurasi dengan kategori baik yaitu dengan nilai MAPE sebesar 18,6%
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