116 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
Analisis Vegetasi Tanaman Bawah Berkhasiat Obat Pada Sistem Agrisilvikultur di Lembang Sereale Toraja Utara
Get PDFAnalisis vegetasi dilakukan untuk mengetahui seberapa besar sebaran berbagai spesies dalam suatu area melalui pengamatan langsung. Oleh karena itu maka dilakukan penelitian mengenai analisis vegetasi tumbuhan bawah berkhasiat obat pada sistem agrisilvikultur di Lembang Sereale Toraja Utara. Metode penelitian yang digunakan adalah metode analisis deskriptif kualitatatif. Hasil penelitian jenis tumbuhan bawah berkhasiat obat pada sistem agrisilvikultur dapat disimpulkan bahwa terdapat 9 jenis dari 7 familia tanaman bawah berkhasiat obat yang dibudidayakan oleh masyarakat dalam sistem agrisilvikultur. Indeks Nilai Penting (INP) pada tanaman bawah berkhasiat obat tertinggi adalah jenis Colocasia esculenta sebanyak 103,05% merupakan tanaman yang dominan dan terendah pada jenis tanaman Sauropus androgymus dan Orthosiphon aristatus sebanyak 3,82% merupakan jenis yang tidak dominan. Sistem agrisilvikultur di Lembang Sereale memiliki indeks kekayaan jenis termasuk dalam kategori rendah (R = 1,508), nilai indeks keanekaragaman jenis berada pada kategori rendah (H’ = 0,843), dan nilai indeks kemerataan jenis kategori rendah (E = 0,383)
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
Pengaruh Tegakan Lamtoro Gung Leucaena Leucocephala L. terhadap Kesuburan Tanah di Kawasan Hutan Ko'mara Kabupaten Takalar
Get PDFLamtoro gung Leucaena leucocephala L. merupakan tanaman sela kerena mampu memelihara dan meningkatkan produktivitas tanah. Penelitian ini bertujuan mempelajari dan membandingkan sifat-sifat tanah dibawah tegakan lamtoro gung dengan semak belukar. Hasil penelitian menunjukkan bahwa kesuburan fisik atau kimia tanah (berat volume, volume total pori tanah, nilai kapasitas tukar kation, kandungan bahan organik, nitrogen, fosfor,kalium, kalsium dan magnesium) memperlihatkan nilai yang lebih baik di bawah tegakan lamtoro gung yang berumur 2 tahun dibanding pada sifat kesuburan tersebut pada semak belukar yang didominasi oleh semak dan rumput-rumputan. Meningkatkan kesuburan tanah di bawah tegakan lamtoro gung diduga sebagai pengaruh dari kandungan bahann organik di bawah tegakan tersebut lebih tinggi (9,2%) dibanding dengan kandungan bahan organik pada tanah semak belukar (5,1%), dimana bahan organik ini merupakan sumber pokok beberapa unsur hara dalam tanah
KEANEKARAGAMAN PERBANDINGAN TIPE STOMATA DAUN POHON PENGHIJAUAN PADA LOKASI JALAN A.P. PETTARANI DAN KAWASAN INDUSTRI DI KOTA MAKASSAR
No full textThe research is aimed to know the biodiversity of comparative leaf stomatal type of regreening trees in locations A.P. Pettarani street and Industrial Estate on Makassar City, was done from September-November 2011 in locations A.P. Pettarani street and Industrial Estate. The Method used is based analyze of stomatal to rub aceton a surface of the leaf. Analysed leaf stomatal by using descriptive. The results showed that stomatal paracytic type (Swietenia macrophylla King. and Polyalthia longifolia Bent&Hook. var. pendula) and phanerophor. Wodyetia bifurcata Irvine and Bambusa vulgaris Schrad. var. vitata A&C Rivieria is longitudinal arrangement of stomatal and Cryptophor. The highest density of stomatal on the leaf Swietenia macrophylla King. of 877 stomatal mm-2 and the lowest of density of stomatal on the leaf Wodyetia bifurcata Irvine of 184 stomatal mm-2 on location Makassar Industrial Estate
Identifikasi Manajemen Resiko yang diusulkan pada Operasional SME dalam Penerapan Sistem ERP Jangka Panjang.
Get PDFRisk 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
Get PDFABSTRACT
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
Get PDFAcute 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
Get PDFGlobal 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%
Sistem Pendukung Keputusan Kelompok untuk Penentuan Lokasi Usaha menggunakan Metode Fuzzy SAW Borda
No full textThe economic development of a city is marked by the increasing number of established businesses. Inaccurate decision about business location can result in losses for the owner. To support proper decision making, various decision making methods have been developed. For example, by using Fuzzy, Analytical Hierarchy Process (AHP), Promethee, Simple Additive Weighting (SAW), Borda, and Hybrid (a combination of several methods). In this research, the author tries to solve the problem of decision making in determining business location, by designing a decision support system that uses a hybrid method approach, a combination of Fuzzy, Simple Additive Weighting (SAW), and Borda. There are 3 alternative locations (A1, A2, and A3), 5 decision makers, and 5 assessment criteria used, such as land eligibility (benefit), population density (benefit), traffic jam (benefit), completeness of files (benefit), and flood intensity (cost). The Decision Support System accepts input in the form of natural language/linguistic (very/quite/kinda/less) and converts it into a fuzzy membership value (range 0 to 1), processes it based on weight, cost, and benefit of existing criteria using Simple Additive Weighting (SAW), and combines the assessment results using Borda from 5 decision makers/business owners with their respective perceptions. So as to produce a final group decision. Where the final result obtained in the Borda method, that the alternative location A1 (A1 score is 6) gets the first priority to be business place establishment location, followed by A3 (A3 score is 5) in the second priority, and A2 (A2 score is 4) in the third priority/last.
Perkembangan ekonomi suatu kota ditandai dengan semakin banyaknya tempat usaha yang didirikan. Pengambilan keputusan yang kurang tepat mengenai penentuan lokasi usaha bisa mengakibatkan kerugian bagi pemiliknya. Untuk mendukung pengambilan keputusan yang tepat telah dikembangkan berbagai macam metode pengambilan keputusan. Misalnya dengan menggunakan metode Fuzzy, Analytical Hierarchy Process (AHP), Promethee, Simple Additive Weighting (SAW), Borda, maupun Hybrid (gabungan dari beberapa metode). Pada penelitian ini, penulis mencoba untuk menyelesaikan masalah pengambilan keputusan penentuan lokasi usaha, dengan merancang suatu Sistem Pendukung Keputusan yang menggunakan pendekatan metode hybrid, yakni gabungan metode Fuzzy, Simple Additive Weighting (SAW), dan Borda. Terdapat 3 Alternatif Lokasi (A1, A2, dan A3), 5 Decision Maker, dan 5 Kriteria Penilaian yang digunakan, seperti Kelayakan Lahan (benefit), Kepadatan Penduduk (benefit), Keramaian Lalu Lintas (benefit), Kelengkapan Berkas (benefit), dan Intensitas Banjir (cost). Sistem Pendukung Keputusan menerima input/masukan berupa bahasa alami/linguistik (sangat/cukup/agak/kurang) dan mengubahnya dalam nilai keanggotaan fuzzy (range 0 sampai dengan 1), mengolahnya berdasarkan bobot, cost, dan benefit dari kriteria yang ada menggunakan Simple Additive Weighting (SAW), dan menggabungkan hasil penilaian menggunakan Borda dari 5 orang decision maker/pemilik usaha dengan pandangan persepsi masing-masing. Sehingga menghasilkan suatu keputusan akhir kelompok. Dimana didapatkan hasil akhir pada metode Borda, bahwa alternatif lokasi A1 (memperoleh nilai 6) mendapatkan prioritas pertama untuk menjadi lokasi pendirian tempat usaha, disusul oleh A3 (memperoleh nilai 5) di prioritas kedua, dan A2 (memperoleh nilai 4) di prioritas ketiga/terakhir
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