bluuebunny/crossref_metadata_2025 huggingface dataset:
Polymer Chain Reaction (PCR): Principle and Applications
Authors: Shafeeq Noorhan Khalid
Published: November 2021

The new, standard molecular biologic system for duplicating DNA enzymatically devoid of employing a living organism, like E. coli or yeast, represents polymerases chain reaction (PCR). This technology allows an exponential intensification of a minor quantity of DNA molecule several times. Analysis can be straightforward with more DNA available.

A thermal heat cycler performs a polymerization chain reaction that involves repeated cycles of heating and cooling the reactant tubes at the desired temperature for each reaction step. A heated deck is positioned on the upper reaction tube to avoid evaporating the reaction mixture (normally volumes range from 15 to 100 l per tube), or an oil layer can be placed on a reaction mixture surface.

The amplified DNA fragment is determined based on selecting primers in addition to the starting and end of the DNA fragment. The primers stand for short, artificial DNA stripes, no higher than fifty (typically 18-25bp) nucleotides have been based on a starting and ending of DNA fragment to be amplified. DNA-polymerase connects and starts a new DNA strand synthesis

The PCR products can be visualized by dual foremost methods: (1) staining of the product of DNA amplified by a chemical dye like bromide ethidium, or (2) marking of fluorescent dyes (fluorophores) PCR primers or nucleotides before amplification of PCRs.

PCR offers some benefits. First, it is a simple method of understanding and using and quick results. It has an extremely sensitive technology with the potential for sequencing, cloning, and analyzing millions or milliards of copies of a particular product.
Some bioactive component analysis of herbal capsules
Authors: Mustafa Yaşar  , Sibel Bayıl Oğuzkan  , Halil İbrahim Uğraş
Published: November 2021

Since the beginning of the evaluation of plants in terms of human health, the bioactivity properties of plants have been studied in the laboratory and thus standards have been brought to the treatment methods with plants. For this purpose, some bioactive component analyzes of 18 herbal capsules and 2 liquid herbal syrups produced by Naturin Company were performed in our current study. In this context, the total oxidant and antioxidant status of these plant mixtures were evaluated. The free radical capacities of the samples were determined by 1, 1-diphenyl-2-picrylhydrazil (DPPH) method and their DNA protective activities were determined using pBR322 plasmid DNA. Total antioxidant level (TAL) and Total oxidant level (TOL) activities were performed using Rel Assay diagnostic kit. All 3 of the stinging nettle samples showed DNA protective activity. The clean sample containing milk thistle extract also showed DNA Protective activity. In both the syrup samples (My guard and DTX-19) results were detected in the direction of positive protection on DNA. When the DPPH radical scavenging capacity was examined, it was determined that the best results were in juniper, nettle and thistle thistle samples, and the samples with syrup had a very good radical scavenging effect, and all of the samples showed antioxidant activity. This study is a preliminary and supportive study in order to elucidate the properties that can be used as drug active ingredients in traditional medicine, especially in the field of pharmacology.
Statistical Literacy Ability Viewed from the Student's Field of Expertise and Curiosity
Authors: Setiani Nurokhmi Wahyu , Dewi Nuriana Rachmani , Rochmad Rochmad
Published: November 2021

This study aims to describe statistical literacy skills based on the field of expertise and curiosity of grade XII student of SMK Komputama Jeruklegi. The type of research used is qualitative descriptive research. Sampling was done by purposive sampling technique. The study took four subjects from each category in each field of expertise in SMK Komputama Jeruklegi. Data collection using questionnaires, statistical literacy tests, and interview guidelines. The validation test used is a technical triangulation test. The results showed that of the two fields of expertise taken, students achieved two to four indicators of statistical literacy. For students of information and communication technology with curiosity is very high can meet all indicators of statistical literacy ability. Students with high curiosity meet indicators understand the data, present the data and draw conclusions. Students with curiosity are meeting indicators understanding the data and drawing conclusions. While students with low curiosity meet the indicator presents the data and draws conclusions. Then the results of students in the fields of business expertise and management show that students with very high curiosity and high meet indicators of understanding data, presenting data, and drawing conclusions. Students with curiosity are meeting indicators understanding the data and presenting the data. Whereas students with low curiosity meet the indicators understand the data and draw conclusions. This research is expected to contribute to students' statistical literacy skills, so that they can provide an overview of future research.
Visual Thinking Ability of Mathematics Education Students on Geometry Transformation Learning Material
Authors: Hermiati Konstansia , Suprihatiningsih Siti , Annurwanda Pradipta
Published: November 2021

Solving a problem in geometric transformation that is prioritized is the ability to think visually, this is because visualization is the heart of mathematics to solve a problem, besides that visualization can also make it easier to understand abstract mathematics, and can be used as a strategy for solving mathematical problems to be very simple. This study aims to describe the visual thinking ability of mathematics education students on the material of geometric transformation. The type of research used in this research is descriptive qualitative research. The subjects in this study were 5 students. Written tests related to geometric transformation questions, such as questions, reflections, translations, and dilations were used as data sources in this research. By describing each instrument that has been done by students in accordance with the indicators of visual thinking ability, data analysis techniques are used. The results of this study indicate that students' thinking skills only reach the stage of sorting, searching, and finding. It means only to the acquisition and reasoning. This can be seen from the responses of several students, namely students (1) four stages and three principles of visual thinking ability are achieved. Students can sort out the questions given and look for information to get answers, and can describe and visualize the answers that have been obtained. Student response (2) only did not reach the step of describing and the principle of individuation. This means that students cannot explain and describe answers in the form of pictures or graphs correctly. Student responses (3) only reached the stage of sorting and obtaining or in other words only understanding what was asked. Students in response (4) only did not reach the step of describing and the principle of visualizing/illustrating. So that it can be used as a reference related to visual research, especially on geometry material.
CALCULATION OF A MONOLITHIC COLUMN FOUNDATION FOR A REINFORCED CONCRETE COLUMN OF A MULTI-STOREY BUILDING IN LVIV
Authors: SHCHEMELIEV A.V. , NAZARENKO О. М.
Published: November 2021

Problem statement. In modern construction of residential and commercial buildings, bridges and other structures, columns are often the main load-bearing elements. Different in the way they are manufactured and in their characteristics, these building elements serve as the basis of the framework on which all other building structures are placed. However, in order to have a strong, durable and, most importantly, correct construction of the whole structure, the columns should be installed with minimum deviations from the design values. This is why a great deal of attention is paid to the foundations in the design and implementation of the project. The purpose of the article is to develop a calculation of a monolithic column foundation for a reinforced concrete column of a multi-storey building in Lviv based on theoretical research. The design is based on theoretical studies and is based on the design of a monolithic column foundation for a multi-storey building in Lvov, taking into account the dimensions of the foundation, the soil characteristics, the self-weight of the foundation and the longitudinal reinforcement coefficient. Analysis of publications. Studying not only foreign, but also domestic current theoretical developments and practical experience will allow the objective to be achieved. There are examples among European countries that largely meet the current requirements. Results of the study. The most common soils in Lviv are chernozem, eluvial and peat-bog soils. The climate in Lviv is moderately continental with mild winters and warm summers. With these data, the dimensions of the monolithic columnar foundation for a multi-storey building are calculated and its reinforcement is determined. The strength of the monolithic columnar foundation for the reinforced concrete column of the multi-storey building is tested for the punching strength. Based on the results of the calculations, it is determined that the foundation is sufficiently strong under the column.Conclusions. In this article, the characteristics of soils and climatic conditions of the construction area in the city of Lviv were investigated. The dimensions of the foundation's underside, all dimensions of the foundation and the pressure on the ground under the underside from the design load were calculated. The reinforcement area of the foundation footing was selected and the strength of the foundation was tested for push-through.
Energy-saving technology of production of elements of building structures from polymer materials
Authors: Kondratiev A.V. , Prontsevych О.О.
Published: November 2021

Problem statement. At present, the increase in the efficiency of the technology for the production of composite structural elements is associated with high energy costs. In this regard, the implementation of ways to optimize the parameters of the technological process of manufacturing polymer composite materials is of great importance. The purpose of the article is to optimize the modes of impregnation and curing of thermosetting binders and polymer composite materials based on them in combination with the kinetics of gas evolution and control of all stages of the technological process. Results. An energy-saving technology for molding composite structural elements of buildings and structures has been developed, which provides a reduction in the duration of the curing process of polymer materials, depending on the type of binder. The technology makes it possible to control the speed and degree of curing of a thermosetting binder by changing the tangent of the dielectric loss angle and electrical conductivity. Scientific novelty and practical significance. The approach and the electrophysical method for optimizing the modes of impregnation and curing of composite products in combination with the control of all stages of the technological process have been further developed in relation to the elements of composite structures. The permissible values of the curing parameters have been established according to the optimized mode of a number of thermosetting binders: heating rates, isotherm temperatures, and holding time at them. At the same time, the achieved optimal curing times for binders BFOS, LBS-4, ENFB, 5-211B using the new technology is 2.4; 1.8; 3.0; 2.3; 2.0 and 1.2 times less than according to known technologies. The results obtained guarantee the quality of the resulting composite product and are recommended for accelerating the curing process of polymer materials.

Keywords: optimization; technological regime; impregnation; curing; thermosetting binders; gas evolution; stage control
Investigation of the effect of addition of boron nitride on microstructure and mechanical properties of cast iron brake materials used in railway vehicles
Authors: Cug Harun , Asgarov Khangardash , Tigci Gülcan , Dursunlar Mustafa
Published: November 2021

In this study, characterization of cast iron break shoes used in locomotives and the effect of BN addition and BN addition on microstructure and mechanical properties by using powder metallurgy (PM) method by adhering to the chemical composition of cast iron break shoes were investigated. In this context, cast iron sabers were chemically analyzed and all elements were supplied in powder form, and then BN added powder compositions were produced by cold and hot pressing technique. A total of 4 different compositions were created without BN, with 0.25, 0.5 and 1 % BN addition. Cold pressing was made in a steel mold with a diameter of 10 mm under 700 MPa pressure under room conditions. Hot pressing was carried out in a graphite mold with a diameter of 15 mm in an argon atmosphere under a pressure of 45 MPa at a temperature of 900 °C. Then the cold and hot pressed samples were sintered at 1 200 °C for 2 hours in argon atmosphere. Density measurement of the produced compositions, microstructure examination, micro hardness measurement were made. Generally, in density measurements, the densities of the samples subjected to hot pressing were higher than the cold pressing process. The hardness value decreased in parallel with the addition of BN.
Keywords: Brake shoe; powder metallurgy; microstructure; mechanical properties
Aplikasi Stemming Kata Bahasa Lampung Dialek Api Menggunakan Pendekatan Brute-Force dan Pemograman C#
Authors: Abidin Zaenal , Wijaya Aldi , Pasha Donaya
Published: November 2021

Lampung is one of the areas on the island of Sumatra that has the regional language and script of Lampung. In this province there are two main regional dialects, namely the dialect of fapi and the dialect of nyo. Research efforts for the preservation of the Lampung language digitally have been conducted by researchers from various Universities. The research stemming from Lampung dialects of api is based on the findings of the fact that the dictionary-based Lampung dialects of the Lampung language dialect cannot translate the affix words. Stemming of Lampung language dialects of api is worked with a Brute-force approach. In the Lampung language there are inflexional verbs and derivational verbs. Inflexional verbs are verbs formed from bases that are also categorized verbs while derivational verbs are verbs formed from bases that are categorized in addition to verbs such as nouns, adjectives, adverbs, pronouns and numerals. The purpose of this research is to (1) conduct word stemming with a Brute-force approach, (2) produce an application as a Lampung language word Stemmer dialect of api using C # programming language and online database using Firebase. The methods used in this study consisted of (1) Researchers are looking for, identifying, recording, manually typing 2000 words following the basic words of the Lampung dialect of api, (2) creating a stemming algorithm with a Brute-force approach (3) testing applications that have made. As for the result obtained is the application is able to do word stemming for words that have been identified in 2000 words and if stemming can not be done then the facility is provided to update the database used in the application to be used for stemming because the stemming application is very supportive of the application dictionary-based translation engine. The urgency of Stemming application research is to address the affix word in the Lampung language machine translation machine translation application for further research
Implementasi Canny Edge Detection Pada Aplikasi Pendeteksi Jalur Lalu Lintas
Authors: Salkiawati Ratna , Alexander Allan Desi , Lubis Hendarman
Published: November 2021

Based on the traffic accident report, it was found that there were 41,771 (Forty-one thousand seven hundred and seventy-one) incidents caused by disorderly drivers. (POLRI, 2018). One of these disorders is by driving a motorized vehicle outside the traffic lane. In this study, researchers developed computer vision using sensor methods and image processing. The stages in computer vision are the image acquisition process, the image segmentation process, and the image understanding process. This study aims to develop an application using computer vision to warn drivers of disorderly traffic or to increase the alertness of motorized vehicle drivers by detecting the condition of the driver's path. It is hoped that this research will provide a sense of security for motorized vehicle drivers, as well as provide applications that are expected to increase driver awareness to avoid traffic accidents
Rancang Bangun Mobile Commerce di Lamandau Store Berbasis Android berdasarkan User Centered Design (UCD)
Authors: Vani Tadonny , Hidayat Rahmat , Yudhistira Arnoldus Yansen Friska Danar
Published: November 2021

Lamandau Store is a place for marketing and selling products that produced by Micro, Small and Medium Entrepreneurs named Usaha Mikro Kecil Menengah (UMKM) and Small Medium Industry products or Industri Kecil Menengah (IKM) in Lamandau Regency. The marketing and sales system at Lamandau Store has been manual which is costumers come to the store. This has not attracted enough consumers, resulting in lower levels of marketing and sales. This study aims to produce an Android-based mobile commerce application that can be used to support the marketing and sales process at the Lamandau Store. The research was conducted in several stages, namely the Data Collection Stage, the System Design Stage and the Report Writing Stage. The system design stage was developed based on the User Centered Design (UCD) method. The results show that a mobile commerce application is in accordance with user needs and has been presented as a new innovation at the Lamandau Store.
Penentuan Kelas Menggunakan Algoritma K Medoids Untuk Clustering Siswa Tunagrahita
Authors: Sariangsah Husin , Wanayumini Wanayumini , Rosnelly Rika
Published: November 2021

So far, the class placement of mentally retarded students is based on the age of entering the child when registering at SLB C Muzdalifah, the Intelligence Quotient (IQ) test has not been tried for mentally retarded students in classifying student classes. It is important to group mentally retarded children to make it easier for teachers to prepare programs and implement educational services. It is important for the school to understand that in mentally retarded children there are individual differences with very large variations. That is, being at almost the same age level (calendar age and mental age) and the same education level, in fact individual abilities differ from one another. Thus, of course, special strategies and programs are needed that are adapted to individual differences. This research was made to classify and analyze data mining for class clustering students with the K-Medoids algorithm to help group students who want to occupy classes according to their level of intellectual disability. From the grouping results obtained 3 clusters, which have the highest number of students is the moderate mental retardation class and the lowest cluster is mild mental retardation, the Muzdalifah special school can prepare classes based on grouping for teaching and learning activities.
Analisis Tata Kelola Teknologi Informasi Menggunakan Framework Cobit 5 (Studi Kasus: STIKES Garuda Putih Jambi)
Authors: Samsinar Samsinar , Sinaga Rudolf , Afriany Renny
Published: November 2021

The implementation of IT requires good IT governance mechanisms to conduct comprehensive oversight so that the business goals of an organization can truly be achieved effectively and efficiently. All levels of IT managers must understand that risk is uncertain and harms a goal to be achieved. Risk can be a big challenge for any organization or institution that must be able to perform risk management as best it can. With well-managed risk management, it will be able to protect IT assets and add value to IT management. STIKES Garuda Putih is one of the nonprofit organizations that operate in the field of health education. To ensure excellent service for all communities and stakeholders related to IT services, it is necessary to conduct IT governance analysis activities to see if it is working properly. The analysis activity will be done using the COBIT framework 5. In this study, the capability model as a measuring tool for respondents' answers from the questionnaire is made based on the cobit framework 5. Based on the results of the process maturity level analysis on IT management (capability) is in the 3.6 to 1.4 the gap, so that concluded that IT governance has been implemented, but there is still the domain must be improved to achieve the maximum level. It is recommended that SOPs and IT performance management achievement reports, IT risk management, IT management strategy improvement, and the need for an internal control structure of IT governance be established
Penerapan Metode SMART dalam Seleksi Penerima Bantuan Sosial Warga Masyarakat Terdampak COVID-19
Authors: Hutagalung Bambang TJ , Siregar Elida Tuti , Lubis Juanda Hakim
Published: November 2021

The Tabita Women's Association (PW) faces obstacles in determining objective criteria in determining community members affected by Covid-19 for social assistance to be distributed so that they are right on target. This is due to the absence of a systematic and measurable system in determining which citizens are eligible as recipients of social assistance. To help PW Tabita, it is necessary to establish a system capable of providing output recommendations for the selection of the most appropriate community members as recipients of social assistance. The criteria for selecting social assistance recipients refer to the fulfillment of several elements, namely: employment status, monthly income, number of dependents, residence status, electricity tariff status, insurance participants, and PKH (Family Hope Program) participants. The Simple Multi-Attribute Rating Technique (SMART) method is a method applied in this research. The results showed that determining the appropriate weight for each criterion greatly influenced the results of the calculation of the recommendation for providing social funds for people affected by Covid-19. Then in order to obtain more accurate results, it is necessary to test the validity of the criteria to obtain more precise criteria in accordance with the eligibility needs of receiving social funds for community members affected by Covid-19 from PW Tabita.
Peningkatan Akurasi Klasifikasi Backpropagation Menggunakan Artificial Bee Colony dan K-NN Pada Penyakit Jantung
Authors: Putra Pandito Dewa , Sukemi Sukemi , Rini Dian Palupi
Published: November 2021

Heart disease has ranked as the leading cause of death in the world, accounting for around 17.3 million deaths per year with some causes, as high blood pressure, diabetes, cholesterol fluctuation, fatigue, and some others which is collected on dataset. Heart disease dataset that was applied is cleveland heart disease with fourteen (14) data atribute. The method that was applied in this research was using Backpropagation algorithm on heart disease classifying, where will be combined Artificial Bee Colony and k-Nearest Neighbor algorithm for features or atribute choose due to this technique can increase classifier model accuracy which is produced as much as 94,23%.
Penerapan Algoritma Apostolico Dalam Pencarian Tiket Pemesanan dan Pendaftaran Seminar
Authors: Nurrachman Dias Syahril
Published: November 2021

At the seminar, the sale of seminar tickets is done manually, that is, by registering seminar participants. Where in this activity the participants have to manually fill in the data needed to create a certificate at the end of the activity. Accordingly, internet technology can be used for online seminar registration, making it easier for seminar organizers to know the results of the accumulated seminars. In this study, a website-based seminar ticket sales system will be developed as a seminar ticket sales affiliate system, namely by helping seminar organizers to promote or market seminar ticket sales. By using this application, information becomes easier to convey and obtain, both seminar organizers and seminar participants. To provide better activity performance. The system is built using an open source PHP codeigniter framework and uses the apostolico algorithm applied to the seminar category search process on database storage by generating a list of seminar category options based on the keywords entered.
Analisa Association Rule Pada Algoritma Apriori Untuk Minat Pembelian Alat Kesehatan
Authors: Rahmadsyah Andi , Hartono Hartono , Rosnelly Rika
Published: November 2021

In the competition in the business world, especially the Medical Device industry, it requires developers to find an accurate strategy that can increase sales of goods. One way to overcome this problem is to continue to provide various types of medical devices in the warehouse. To find out what medical devices are purchased by consumers, market basket analysis techniques are carried out, namely analysis of consumer buying habits. In order to make it easier for companies to determine Buyers' interest in medical devices, a data mining method is needed which is accompanied by an a priori algorithm based on the purchasing process carried out by consumers based on the relationship between the products purchased. Based on the sample sales data for medical devices CV Andira Karya Jaya, amounting to 25 transactions and in this study a minimum support = 12% and a minimum confidence = 70% will be used. In the final stage, the results obtained are medical devices that are in demand by buyers at CV. Andira Karya Jaya, namely 1 M3 oxygen cylinder and 1 M3 troley of oxygen. Based on this data, CV. Andira Karya Jaya can provide supplies of medical devices that are of interest to buyers.
Sistem Pakar Dalam Diagnosa Penyakit Kanker Rahim Menggunakan Metode Naïve Bayes dan Certainty Factor
Authors: Yendrizal Yendrizal
Published: November 2021

The uterus is one of the reproductive organs, namely the mouth of the uterus which is very susceptible to cancer and very often women experience cancer due to a lack of health care. suffered by women in the uterus can be like cysts, cervical cancer, uterine cancer, vaginal cancer and others, cancer is also very difficult to cure so that patients eventually have to give up and face death. From this it is necessary to make a diagnosis from the beginning in order to minimize the number of deaths caused by cervical cancer which is faced by many women in the world, especially in Indonesia, in diagnosing this disease can use a computer system in collaboration with experts to produce a system called the system. experts as an effort to help solve problems that occur with uterine disease that is being experienced by some women. The results of this study will show the percentage level of disease experienced by patients by 88% with the help of implementing the naïve Bayes method and certainty factory
Penerapan Machine Learning dengan Konsep Data Mining Rough Set (Prediksi Tingkat Pemahaman Mahasiswa terhadap Matakuliah)
Authors: Raharjo Mokhamad Ramdhani , Windarto Agus Perdana
Published: November 2021

The Rough Set (RS) method is part of machine learning that analyzes the uncertainty of the dataset used to determine the attributes of important objects (classification). The purpose of this study was to extract information from the rough set using the Rosetta application in predicting cases of students' level of understanding of the course. The attributes used are communication (F1), learning atmosphere (F2), learning media (F3), appearance (F4), and teaching methods (F5). Sources of data obtained from the output of the Journal of Physics: Conference Series, 1255 (1). https://doi.org/10.1088/1742-6596/1255/1/012005. The results of the application of the Rough Set method in determining the prediction of the level of student understanding of the course, produce new knowledge, namely learning outcomes based on the subject. There are 15 Reductions with 90 Generate Rules. But overall, the attributes that affect the level of student understanding of the subject are communication (F1) and learning media (F3)
Sistem Pendukung Keputusan Penentuan Merek Smartphone Terbaik Dalam Mendukung Belajar Online Mahasiswa Era Covid-19 Menggunakan Metode PSI (Preference Selection Index)
Authors: Kifti Wan Mariatul , Hasian Irene
Published: November 2021

The era of the Covid-19 pandemic has resulted in people having to carry out activities by keeping their distance from one another in order to achieve the termination of the spread of the Covid-19 virus, this activity resulted in the government issuing a decree, especially to the education office to conduct online learning because schools and universities is one of the places that has great potential for easy transmission, online learning makes all students obliged to have a smartphone or android so that it makes it easier for students to access online learning, it is necessary to determine the best smartphone brand with the most purchase criteria, price, capacity owned by smartphone and year. output which will later become a literature review of students and parents of students to be more selective in choosing according to the wishes and needs of each user with the help of a decision support system and the application of the PSI method (Preference Selection Index). rence selection index), and the results obtained with the highest score on the xiaomi smartphone with the highest score of 0,327332, the assessment process is fairer and the decision-making process is fast.
Perpaduan Algoritma Kriptografi Atbash dan Autokey Cipher dalam Mengamankan Data
Authors: Fadlan Muhammad , Rosmini Rosmini , Haryansyah Haryansyah
Published: November 2021

Data security is an important thing that must be done in the cyber era. The use of various kinds of digital technology in helping various human activities needs to be balanced with adequate data security. One of the ways that can be used in securing data is through cryptography. Atbash cipher is one of the cryptographic techniques used in securing data. However, this algorithm has a weakness because it only uses the process of reversing the position of the characters to be secured. This study proposes a cryptographic model that can maximize data security from the atbash cipher. The proposed model is a combination of the atbash cipher with the autokey cipher. The tests carried out on the proposed model have a 100% success rate, meaning that the encrypted message resulting from the proposed encryption process has been successfully restored to its original form through the proposed decryption process. The results of this study indicate that the atbash cipher cryptographic algorithm, combined with the autokey cipher algorithm can produce an encrypted message that is more difficult to crack.
Penerapan Metode Simple Additive Weighting (SAW) pada Sistem Informasi Pemilihan Asisten Praktikum
Authors: Gustalika Muhamad Azrino , Rakhmadani Diovianto Putra , Segara Alon Jala Tirta
Published: November 2021

Each campus has technology that is used to communicate and exchange information using technology in the form of a website. The use of the website itself has penetrated into the world of education, one of which is the laboratory on campus. Laboratory on campus cannot be separated from the existence of a practicum assistant. Every semester the faculty of informatics opens registration for practicum assistants, but there are obstacles that candidates who register still use the manual method in their selection. So they need the Simple Additive Weighting (SAW) method. This study uses the Simple Additive Learning method which will increase the highest score level of 1.39 with the weight indicator used in the selection of practicum assistants and get an average score of 4.9 out of 5.0 so that it is very effective for admins (laborers) to manage and lecturers, to see recommendations for prospective practicum assistants, the best are web-based
Perbandingan Metode Certainty Factor dan Theorema Bayes dalam Mendiagnosa Penyakit Kandidiasis pada Manusia Menggunakan Metode Perbandingan Eksponensial
Authors: Panjaitan Zaimah , Hafizah Hafizah , Ginting Rico Imanta , Amrullah Amrullah
Published: November 2021

Candidiasis is an infectious disease caused by the fungus candida. Research on this fungus has been widely carried out until several types of candida fungi are found that can attack and cause infections in humans. Types of candidiasis also vary, but can be classified in general into three types, namely attacking the mouth (Candidiasis Thrush), vagina (Vulvoginal Candidiasis), and skin (Cutaneous Candidiasis). Candidiasis is very susceptible to infection and infection, therefore a study is needed to diagnose candidiasis. Today, expert systems are often used to diagnose diseases. There are several methods commonly used in expertise, including the Certainty Factor method and the Bayes Theorem. However, the problem faced in implementing an expert system in any field is uncertainty. This is caused by the user's hesitation in answering questions during the consultation session or even the inaccuracy of the methods used in building the system. Therefore, it is necessary to study and compare the methods that can be used to build the system. Exponential is a simple comparison that can reduce bias in the analysis process. This study aims to apply and analyze both methods and the results compare with an exponential comparison in detecting candidiasis in humans. The results of this study showed that both methods achieved the same results, namely the lowest percentage level was Candidiasis Truth, then Vuvoginal Candidiasis, and the highest was Candidiasis Cutaneous. Of these two methods, Certanty Factor is more accurate in diagnosing candidiasis.
Penerapan Metode Data Mining Pada Point of Sale Berbasis Web Menggunakan Algoritma Apriori
Authors: Firmansyah Adam , Wahyudin M Iwan , Rahman Ben
Published: November 2021

To be able to understand which products have been purchased by customers, it is done by describing the habits when customers buy. Use association rules to detect items purchased at the same time. This study uses an a priori algorithm to determine the association rules when buying goods. The results of the study and analyzing the data obtained a statement that using the a priori algorithm to select the combined itemset using a minimum support of 25% and a minimum confidence of 100%, found the association rule, namely, if the customer buys at the same time. Buying goods has the highest value of support and trust. Likewise with the support value of 25%, the confidence value is 100%. In this way, if a customer buys an item, the probability that the customer buys the item is 100%
Perbandingan Metode Klasifikasi Data Mining Untuk Rekomendasi Tanaman Pangan
Authors: Wibowo Merlinda , Ramadhani Rafian
Published: November 2021

Determination of the right food crops needs to be done to improve the community's economy in the agricultural sector. The use of traditional cropping patterns needs to be changed by utilizing information technology. The utilization of data from local governments can be used to assist in providing recommendations for types of food crops by processing them with several data mining methods. This method can extract information to find patterns and knowledge from the data. The classification method approach is used as a grouping of data based on data attachment to sample data. This study uses several classification methods, namely Naïve Bayes, Decision Tree, Support Vector Machine (SVM), Neural Network, Random Tree, Random Forest, dan K Nearest Neighbor (KNN). These methods were successfully compared to find out which method is the best to help recommend appropriate and accurate food crops based on the results of the classification performance of each method. Random Tree was chosen as the best method for the results of this performance comparison using discretization and normalization methods at the pre-processing stage of the data. It can be seen based on the results of the Accuracy, Precision, Recall, and F1-Score values on the use of discretization of 98%, respectively. Meanwhile, normalization showed that the results of the Accuracy, Precision, Recall, and F1-Score values are 99%, respectively.
Augmented Reality Objek Wisata Bogor Menggunakan Algoritma Lucas Kanade Dengan Metode Marker Based Tracking
Authors: Sya’ Dani Fikry Ali , Wahyuddin M Iwan , Winarsih Winarsih
Published: November 2021

Information technology today, is very developed and easy to find. Especially in information on Bogor tourist attractions such as the Bogor Palace, Tugu Kujang, and Pakansari Stadium. However, the data information held is not completely valid. Because many tourists get data that is not suitable, due to the lack of information obtained. Therefore, the researchers tried to make an android-based "Tourism Object in Bogor" application using Augmented Reality (AR) technology and the Lucas Kanade Algorithm, as well as Marker Based Tracking efforts to make it easier to get the information desired by tourism. Bogor is one of the cities in West Java Province that attracts many tourists, especially domestic tourists. However, there are still many tourist attractions in Bogor that are still many tourist attractions that have not been visited and are still not widely known by tourists. Until now, researchers have tried to make an android-based "Tourism Object in Bogor" application so that tourists know the shape of objects and information such as the Bogor Palace, Tugu Kujang, and Pakansari Stadium. Using Augmented Reality (AR) technology, the technology itself has photos, sounds, and 3d objects that can bring virtual 3d objects into the real world. The "Tourism Object in Bogor" application uses Android Studio, Unity, Sketchup, Vuforia, and Visual Studio. In order to make it easier for tourists to identify data on tourist attractions they want to visit. The application "Tourism Objects in Bogor" serves to share data information for local and foreign tourists, because this is an opportunity for the Bogor Regional Government to improve services and facilities in Bogor, so that tourists feel safe arriving and visiting Bogor.
Perancangan Web Marketplace Toko Sepatu Akshara.co dengan Sistem Rekomendasi Menggunakan Perhitungan Algoritma Apriori
Authors: Manoppo Dennise Gibran , Wahyudin M Iwan , Winarsih Winarsih
Published: November 2021

In this advanced period, shoes arsse an essential requirement for practically all circles, a great deal of Online business organizations are arising and filling quickly in Indonesia, in addition to the quantity of dynamic web clients in Indonesia is expanding quickly from one year to another. Making Online business organizations contend to explore different techniques as far as advertising to draw in more individuals to purchase the items they offer to get by in the online businss market rivalry in this country, one illustration of a promoting methodology to draw in and increment public premium buys is the execution of the merchandise proposal framework in Online business. Consequently, in this investigation, an electronic Web based business will be made that can help Internet business organizations anticipate purchaser premium in a thing and afterward prescribe it to draw in more purchasers who come. This Web based business utilizes the Apriori Calculation way to deal with get more exactness in the information handling measure. The outcomes acquired from that examination are the making electronic Web based business by executing the suggestion technique showed on the "Akshara.co" framework include
Penerapan Algoritma Boyer Moore Dalam Pencarian Barang Hilang pada Aplikasi FindIt Berbasis Android
Authors: Setiawan Muhammad Afif , Andryana Septi , Gunaryati Aris
Published: November 2021

Losing is an experience that every human has experienced during his life span, and this is a natural thing. Loss of goods is an event that can make a person panic, especially if the lost item is valuable to him. Therefore, with the development of technology, the author tries to design an application that can be a medium for information on lost items for the community, this application is designed based on Android and is named FindIt. This FindIt app uses Firebase Authentication and Firebase Storage as the main database. This application can be run in real-time because it uses Realtime Firebase. Algorithm testing was carried out between Knuth Morris Pratt and Boyer Moore, and the result is Boyer Moore is faster in string matching. The test results using this algorithm are 100% accurate. Application testing is done using the Blackbox method, where the functions and features of the application run as expected. With this application, it is hoped that the community can help each other to find goods and post their findings on this application
Data Mining Menggunakan Algoritma K-Nearest Neighbor Dalam Menentukan Kredit Macet Barang Elektronik
Authors: Silvilestari Silvilestari
Published: November 2021

Business is an activity that is routinely carried out by many people, one of the promising businesses is a business that provides the needs of electronic goods to meet the needs of daily life, high demand causes business people to be more careful and selective in seeing the pattern of customers who want perform transactions in order to avoid business risks appropriately. Business people use a credit system to increase sales for a long time, but the obstacle that often occurs is that many customers who use credit services often delay payments to make the company's finances unstable so someone needs to predict someone who has the potential to do bad credit for electronic goods. using a system that helps business owners to make it easier to process data and predict patterns of bad credit for electronic goods that have been formed from previous data using the KNN algorithm approach, so that the results show the closeness of the value to the data of old customers, both those who pay properly and those who make payments in default and it can be obtained that the processing process accelerates data processing with precise results in the problem solving process
Penerapan Algoritma C5.0 Untuk Prediksi Kelulusan Pembelajaran Mahasiswa Pada Matakuliah Arsitektur Sistem Komputer
Authors: Sungkar Muchamad Sobri , Qurohman M Taufik
Published: November 2021

Computer system architecture is one of the subjects that must be taken in the informatics engineering study program. In the study program the graduation of each student in the course is one of the important aspects that must be evaluated every semester. Graduation for each student / I in the course is an illustration that the learning process delivered is going well and also the material presented by the lecturer in charge of the course can be digested by students. Graduation of each student in the course can be predicted based on the habit pattern of the students. Data mining is an alternative process that can be done to find out habit patterns based on the data that has been collected. Data mining itself is an extraction process on a collection of data that produces valuable information for companies, agencies or organizations that can be used in the decision-making process. Prediction of graduation with data mining can be solved by classifying the data set. The C5.0 algorithm is an improvement algorithm from the C4.5 algorithm where the process is almost the same, only the C5.0 algorithm has advantages over the previous algorithm. The results of the C5.0 algorithm are in the form of a decision tree or a rule that is formed based on the entropy or gain value. The prediction process is carried out based on the classification of the C5.0 algorithm by using the attributes of Attendance Value, Assignment Value, UTS Value and UAS Value. The final result of the C5.0 algorithm classification process is a decision tree with rules in it. The performance of the C5.0 algorithm gets a high accuracy rate of 93.33%
Orientasi Nilai Budaya Masyarakat Nias dalam Maena pada Upacara Falöwa
Authors: Gea Titian Berkat
Published: November 2021

This study aims to describe the orientation of Nias cultural values ​​in the lyrics of the maena at the falöwa traditional ceremony in Gunungsitoli. The research was conducted using a qualitative method with an anthropolinguistic approach. The data in this study is a snippet of the lyrics of the maena at the traditional falöwa (wedding) ceremony, either spoken orally or a collection of written lyrics. Primary data sources are the results of interviews with informants and recordings of playing. The secondary data source is the maena lyric text in the book "Maena Nias – Means of Delivering Messages and Life Stories of the Nias Society," published by the Nias Heritage Museum, 2018. Data were collected using observation and interview methods. The observation method is carried out using the tapping and nonparticipation and the recording techniques as further techniques. The interview method uses direct interview techniques. Then, the data were analyzed in stages: (1) data reduction, (2) data presentation, and (3) making conclusions/verification. In the analysis process, the researcher also validated the data by applying data triangulation. The triangulation used in this study is source triangulation. The study results concluded that, first, the society of Nias interprets the nature of life as something that needs to be fought for. Second, the society of Nias views that the nature of the work can increase the position and honor of humans in their environment. Third, Nias society view that humans are influenced by space and time. Fourth, Nias society views the importance of harmonious relations between humans and their natural surroundings. Fifth, Nias society upholds human relations with each other.
Sifat Kepahlawanan Tokoh Bujang dalam Novel "Pulang" Karya Tere Liye
Authors: Valiantien Nita Maya , Ariani Setya
Published: November 2021

This study aims to provide an overview of heroic traits shown by the character Bujang in Tere Liye's novel Pulang. The method used in analyzing the data is qualitative method because the data collected and analyzed are in the form of narratives and dialogues in the text related to the heroic traits possessed by Bujang as the main character in the novel. Furthermore, this study uses descriptive techniques to define the heroic traits found in Bujang character. From the results of the analysis, it was found that eight heroic traits possessed by Bujang in the novel Pulang. The traits include caring, charismatic, inspiring, reliable, resilient, selfless, smart, and strong. This finding shows that heroic traits can be found in characters who are involved in the world of crime and also in literary works that use the setting and themes of the criminal world. By having these eight heroic traits, Bujang is a representation of a hero even though he is a character who has a role in the criminal world he lives in the novel.