116 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
Profile of ICS/LABA Therapy in Patients with Moderate Persistent Ashtma in Pulmonary Clinic of Prof. Chairuddin Panusunan Lubis Hospital University of Sumatera Utara
No full textBackground : Asthma is the most common chronic heterogeneous disease of the respiratory tract In the Asia-Pacific region, the highest level of asthma control is partially controlled asthma at 63%, followed by uncontrolled asthma at 30% and fully controlled asthma at 7%. There is still little data regarding the ICS / LABA management profile in patients with moderate persistent asthma, especially in the Pulmonary Clinic of Prof. Chairuddin Panusunan Lubis USU Hospital
Objective : To determine the profile of ICS/LABA use according to the level of asthma control and demographic proportions in patients with moderate persistent asthma.
Methods : An analytic cohort retrospective study was performed by using medical records for 3 years (January 1, 2017, to December 31, 2019). Data collection was conducted from September 2023 to April 2024. The study subjects were patients with moderate persistent asthma who received ICS/LABA therapy for at least 3 months. Descriptive statistical analysis was used to assess the profile of ICS/LABA treatment on clinical outcomes.
Result : The sex was dominated by women as 48 people (78,7%), the age range> 41-50 years by 20 people (32,8%). The distribution of the highest level of educationis high school by 23 people (37,7%), the majority of respondents do not work by 29people (47,5%) and a history of not smoking by 60 people (98,4%). In thecharacteristics of treatment dominated by the ICS/LABA type of Salmeterol /Fluticasone propionate Diskus doses 50/250 mcg by 33 people (54,1%) and theICS/LABA types of Formoterol Fumarate/Budesonide dose of 4,5/160 mcg used by28 people (45,9%). The highest proportion of asthma control level was partiallycontrolled asthma by 44 people (70,5%) and a history of scheduled polyclinic visitsmade by 57 respondents (93,8%). Spiromtery test assessment obtained the largestfrequency distribution of FEV1 values was 75% by 49 people (80,3%) mean 80,59. Analytic statistical test resultsshowed that demographic factors are not associated with the level of asthmacontrol of respondent.
Conclusion : A varied management profile was obtained with the majority of ICS / LABA usage was the Salmeterol / Fluticasone propionate type at a dose of 50/250 mcg with most of the prevalence of sex was female and demographic factors not related to the level of asthma control.114 PagesTesis Magiste
Anteseden customer satisfaction, promosi penjualan, dan pengalaman pelanggan terhadap niat beli ulang produk H&M (studi kasus pada Gen Z Yogyakarta)
No full textPenelitian ini bertujuan untuk mengetahui pengaruh customer satisfaction, promosi penjualan, dan pengalaman pelanggan terhadap niat beli ulang produk H&M (Studi Kasus Pada Gen Z Yogyakarta) baik secara parsial maupun simultan. Penelitian ini dilakukan dengan pendekatan kuantitatif. Penelitian ini dilakukan di Yogyakarta pada bulan Januari 2024. Sampel yang digunakan pada penelitian ini adalah 108 reponden. Teknik analisis statistik dalam penelitian ini menggunakan regresi linear berganda, uji t, uji f dan koefisien determinasi. Hasil penelitian menunjukkan bahwa customer satisfaction berpengaruh secara positif dan signifikan terhadap niat beli ulang produk H&M. Promosi penjualan berpengaruh negatif dan tidak signifikan terhadap niat beli ulang produk H&M. Pengalaman pelanggan berpengaruh secara positif dan signifikan terhadap niat beli ulang produk H&M. Customer satisfaction (X1), promosi penjualan (X2) dan pengalaman pelanggan (X3) berpengaruh secara simultan terhadap niat beli ulang (Y)
FAKTOR-FAKTOR YANG MEMPENGARUHI UNDERPRICING KETIKA INITIAL PUBLIC OFFERING (IPO) DAN DAMPAKNYA TERHADAP PERSISTENSI LABA
No full textFenomena dalam Penawaran Umum Perdana/Initial Public Offering (IPO)
telah dianalisis oleh beberapa empiris studi mengacu pada pasar saham internasional.
Anomali yang banyak menjadi objek penelitian adalah adanya penurunan harga
saham setelah saham IPO diperdagangkan di pasar modal disebut underpricing.
Fenomena lain adalah adanya penurunan kinerja perusahaan yang telah menerbitkan
saham dalam jangka panjang.
Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi
tingkat underpricing dan dampak underpricing terhadap persistensi laba. Persistensi
laba didefinisikan sebagai laba yang dapat digunakan sebagai indikator future
earnings, dengan kata lain persistensi yaitu kemampuan laba suatu perusahaan untuk
bertahan di masa depan. Underpricing dapat didefinisikan sebagai kondisi dimana
harga saham pada saat penawaran perdana relatif lebih rendah dibandingkan harga di
pasar sekunder. Variabel independen yang digunakan dalam penelitian ini adalah
reputasi underwriter, reputasi auditor, ukuran perusahaan, usia perusahaan, Return
on Equity (ROE), underpricing. Variabel dependen yang digunakan dalam penelitian
ini adalah underpricing dan persistensi laba pada tahun pengamatan 2013-2017.
Populasi penelitian adalah perusahaan go public yang tercatat di Bursa Efek
Indonesia (BEI) yang melakukan penawaran saham perdana (IPO) yang terdaftar di
BEI (Bursa Efek Indonesia) dalam periode 2013-2017. Jumlah sampel yang
digunakan sebanyak 92 perusahaan yang diambil melalui purposive sampling.
Metode analisis penelitian ini menggunakan analisis regresi linear berganda.
Hasil penelitian ini menunjukan bahwa reputasi underwriter dan ukuran
perusahaan berpengaruh negatif dan signifikan terhadap underpricing dan
underpricing berpengaruh negatif dan signifikan terhadap persistensi laba. Ada
hubungan negatif antara underpricing dan persistensi laba pada satu periode setelah
IPO. Ini menunjukan bahwa perusahaan mencoba untuk mempertahankan
kepercayaan investor selama periode awal setelah IPO. Sedangkan pada tahun kedua,
tingkat underpricing tidak relevan untuk memprediksai persistensi laba
PENGARUH RETURN ON ASSET, PRICE EARNING RATIO, UKURAN PERUSAHAAN, PROSENTASE PENAWARAN SAHAM, DAN REPUTASI UNDERWRITER TERHADAP TINGKAT UNDERPRICING (Studi Pada Perusahaan yang Melakukan Initial Public Offering di Bursa Efek Indonesia Periode 2008-2015)
No full textPenelitian ini bertujuan untuk mengetahui pengaruh faktor keuangan dan
faktor non keuangan terhadap tingkat underpricing pada perusahaan melakukan
initial public offering (IPO) di Bursa Efek Indonesia periode 2008-2015. Variabel
dependen underpricing, sedangkan variabel independen adalah return on asset, price
earning ratio, ukuran perusahaan, prosentase penawaran saham, dan reputasi
underwriter. Sampel dalam penelitian ini adalah 133 perusahaan yang melakukan
initial public offering (IPO) di Bursa Efek Indonesia periode 2008-2015.
Teknik pemilihan sampel menggunakan metode purposive sampling.
Sedangkan metode analisis dalam penelitian ini menggunakan analisis regresi linier
berganda pada taraf signifikansi 5%. Hasil hipotesis menunjukan bahwa secara
parsial ukuran perusahaan dan reputasi underwriter berpengaruh negatif terhadap
tingkat underpricing. Sedangkan return on asset, price earning ratio, dan prosentase
penawaran saham tidak berpengaruh terhadap tingkat underpricing. Secara simultan
return on asset, price earning ratio, ukuran perusahaan, prosentase penawaran
saham, dan reputasi underwriter berpengaruh terhadap tingkat underpricing
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
Identifikasi Manajemen Resiko yang diusulkan pada Operasional SME dalam Penerapan Sistem ERP Jangka Panjang.
No full textRisk 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
No full textABSTRACT
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
Pengaruh Jenis Pelarut pada Analisa Zat Anthosianin dari Kulit Manggis (Gacinia mangostana L.) dengan Metode Spektrofotometer Visible Genesys 20 (The Influence of Solvent Type on Substances Anthosianin Analysis of Mangosteen Skin (Gacinia mangostana L.) with Spectropothometric Visible Genesys 20 Method)
No full textAnalysis of substances anthosianin method Genesys 20 Visible spectrophotometer is a mangosteen. Anthosianin is an antioxidant that has the ability to mengelmisi free radicals.
In the experiment obtained with the optimum solvent composition of F / S is 96% ethanol (1:10), distilled water (1:10) and ethyl acetate (1:20). The optimum solvent analyzed using visible spectrophotometer Genesys 3,4,5 ph 20 in the atmosphere to determine the optimum acidic conditions. In order to obtain the most optimum conditions of acid in each solvent pH optimum is 3.
This variable distinction serves to identify the type of solvent that optimum conditions with the composition of F / S are different in order to obtain the results of the analysis. The Differences in variables such as the composition of F / S and pH influence on the analysis results.
Keyword : Anthosianin, Solvent, p
Classification of Acute Lymphoblastic Leukemia based on White Blood Cell Images using InceptionV3 Model
No full textAcute 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
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