bluuebunny/crossref_metadata_2025 huggingface dataset:
Species Validation of Mole Crabs Based on Molecular Marker of 16s rRNA from Bantul and Purworejo waters
Authors: Butet Nurlisa A , Dewi Inge Anggraeni Bela Putri , Zairion Zairion , Hakim Agus Alim
Published: June 2020

Undur-undur laut hidup pada habitat intertidal pantai berpasir. Identifikasi spesies akuatik sering mengalami kesalahan yang diakibatkan oleh fenomena cryptic spesies, sehingga diperlukan teknik identifikasi dengan pendekatan molekuler yaitu DNA barcoding. Penelitian ini bertujuan untuk menvalidasi dan menganalisis hubungan kekerabatan dari undur-undur laut berdasarkan marka molekuler gen 16S rRNA dari perairan Bantul dan Purworejo. Kit komersil berupa Gene Aid digunakan untuk isolasi dan ekstraksi DNA dan dihasilkan tiga DNA total dari setiap lokasi. DNA total dengan kualitas baik dilanjutkan pada proses amplifikasi menggunakan teknik PCR dengan primer 16S rRNA. Hasil sekuen gen 16S rRNA sampel undur-undur laut disejajarkan dengan beberapa sekuen dengan spesies lain dari genus Emerita, Scylla, dan Portunus yang berasal dari GeneBank. Validasi spesies dilakukan dengan mengunakan BLASTn. Jarak genetik dan pohon filogenik didapatkan dari program MEGA 5.0. Sampel undur-undur laut yang berasal dari Bantul dan Purworejo tidak berbeda nyata dan sampel berasal dari sumber genetik yang sama.
Comparison of Echocardiography and Computed Tomography/Magnetic Resonance Imaging for Assessing of Pulmonary Vein Stenosis in Children
Authors: Mykychak Y. , Kozhokar D. , Yusifli I. , Morkovkina A. , Tammo R. , Yemets I.
Published: June 2020

Pulmonary vein (PV) stenosis is a rare disease with high recurrence and mortality rates.

Objective. This study was aimed to evaluate the diagnostic accuracy of echocardiography versus cross-sectional modalities.

Material and methods. Our study includes 11 consecutive patients who underwent a comprehensive PV anatomy assessment between April 2018 and June 2019 at Ukrainian Children’s Cardiac Center, Kyiv. Echocardiographic studies of each pulmonary vein followed by computed tomography (CT) or magnetic resonance imaging (MRI) were performed in all patients. A total of 27 CT/MRI studies were performed.

Results. There were four patients whose echocardiography findings were completely confirmed by CT/MRI method. In some patients significant stenosis was underestimated by echocardiography. Sensitivity and specificity were 86.4 and 88.9 for echo, as well as 100 and 94.4 for CT/MRI, respectively.

Conclusion. This study recognizes the limitations of echocardiography as an imaging tool for pulmonary veins morphology assessment. Cross-sectional studies overcome these limitations and provide excellent morphological as well as functional (MRI) evaluation of pulmonary veins.
Багатокритеріальний синтез організаційної структури білінгової інформаційної системи методом аналізу ієрархій
Authors: Калачова В.В. , Ткачук С.С. , Меренті Є.О. , Третяк Д.В.
Published: June 2020

Правильний вибір БС критичний для прибутковості підприємства сфери обслуговування. На певному етапі зростання компанії білінг перетворюється з надійного і швидкого помічника в зборі та обробці інформації в інструмент для розширення і вдосконалення сервісу на існуючій технічній базі, а значить, для залучення нових клієнтів. Від надійності та швидкості роботи БС залежить якість обслуговування клієнтів і можливості, які отримує фірма-постачальник, що, в кінцевому рахунку, впливає на прибутковість підприємства сфери обслуговування. В роботі наведено багатокритеріальний синтез організаційної структури білінгової інформаційної системи методом аналізу ієрархій (МАІ). Метод призначений для прийняття багатокритеріальних проектних рішень в умовах слабкої структурованості організаційно-технічних систем і невизначеності вихідної інформації, заданої набором кількісних і якісних залежностей. Обґрунтованість і достовірність прийнятих рішень багато в чому залежать від узгодженості експертних думок, які формалізовано виражаються через властивості зв'язності і транзитивності між експертними оцінками вихідного факторного простору. Закладений в основу МАІ принцип декомпозиції складної проблеми сукупністю більш простих складових, дозволяє здійснити побудову найбільш оптимального варіанту організаційної структури білінгової  інформаційної системи відповідного призначення.
Математична модель визначення загального обсягу навчальних годин комплексної програми бойової підготовки військового формування типу з’єднання (частина) будь-якого ступеня готовності
Authors: Годзь С.В. , Можаровський В.М.
Published: June 2020

На думку авторів статті, одним із можливих шляхів підвищення ефективності планування бойової підготовки (БП) та досягнення потрібного рівня навченості військових формувань є розроблення та запровадження в практику їх БП принципово нового нормативного документа – Комплексної програми бойової підготовки з’єднання (частини) (КПБП). На відміну від існуючих програм БП, КПБП має забезпечити можливість визначення оптимальної кількості навчальних годин та їх раціональний (оптимальний) розподіл між спеціалістами (підрозділами) та періодами підготовки для досягнення заданого рівня навченості з’єднання (частини) Збройних Сил України в цілому, а також його готовності до взаємодії з іншими військовими формуваннями сил оборони під час спільного виконання бойових завдань. Встановлено, що в існуючих методиках оцінювання ефективності БП військових формувань, у тому числі її планування, використовуються зовсім різні методи (шляхи, способи) дослідження процесу розподілу рівня їх навченості в часі. Як стверджують автори, на сьогодні відсутня загальна методологія комплексного вирішення подібних завдань. Враховуючи це, у статті викладено суть та основний зміст Математичної моделі визначення загального обсягу навчальних годин КПБП військового формування типу з’єднання (частина) будь-якого ступеня готовності. Ця модель є основою Методу визначення оптимальної кількості навчальних годин БП спеціалістів (підрозділів) військового формування типу з’єднання (частина) для досягнення заданого рівня їх навченості за критерієм мінімальних фінансових затрат (лінійний варіант оптимізації). Стаття є логічним продовженням попередніх публікацій даного напряму дослідження.
Інформаційно-технічний метод моніторингу та прогнозування рівня сейсмічної небезпеки локальної території Земної кулі
Authors: Тютюник В.В. , Чорногор Л.Ф. , Калугін В.Д. , Агазаде Т.Х.
Published: June 2020

З метою подальшого розвитку науково-технічних основ створення системи штучного інтелекту для моніторингу та прогнозування надзвичайних ситуацій (НС) тектонічного походження, в роботі, на основі уявлень щодо динаміки фізичних процесів, які протікають в системі нелінійних енергетичних взаємодій Сонце–Земля–Місяць та впливають на рівень сейсмічної небезпеки функціонування локальної території планети Земля, представлені результати регресійного моделювання залежності кількості виникнення землетрусів на локальній території від загальної кількості виникнення землетрусів на Земній кулі. Отримані результати лягли в основу розробки інформаційно-технічного методу моніторингу та прогнозування НС тектонічного походження (землетрусів).
Sistem Pendukung Keputusan Seleksi Pemilihan Ajang Service Ambassador Medan Menerapkan Metode VIKOR (Studi Kasus: Pt. Midi Utama Indonesia Tbk)
Authors: Sari Cici Mulya , Nasution Surya Darma , Sianturi Ronda Deli
Published: June 2020

The selection of the Service Ambassador event is a consistent manifestation of PT. Midi Utama Indonesia Tbk, so that the best service can be accepted by the community. Service Ambassador is one of the selection of employees precisely with the best cashier position. Improving customer service skills must be a priority every day for every business that wants to excel in today's competitive market. Moreover, every interaction with the customer, provides an opportunity for customers to spread the best service to other potential customers. Through the selection of the Medan Service Ambassador, PT Midi Utama Indonesia Tbk moved more aggressively to improve services. The method used in this decision support system is the VIKOR (Vise criterijumsko Kompromisno Rangiranje) method. This method ranks alternatives and determines the ideal compromise solution, so that this system can later benefit PT. Midi Utama Indonesia Tbk to get the title in determining the best Medan Ambassador service employees to be referred to the national level. From the selection results of the Service Ambassador event, PT. Midi Utama Indonesia Tbk, hopes that the best service is truly acceptable to the community and can increase the level of sales which is greatly improved which can be beneficial for PT. Midi Utama Indonesia Tbk
Sistem Pendukung Keputusan Pemilihan Kepala Desa Terbaik Menerapkan Metodethe Extended Promethee II (EXPROM II)
Authors: Nurlela Nurlela , Syahrizal Muhammad , Fadlina Fadlina , Karim Abdul
Published: June 2020

Decision Support System is a system that can help management in making the right decision, which is needed at a management level. Likewise at the Lubuk Pakam Sub-District Office in selecting the best village head. So far, the Camat Office has never determined the best village head in Lubuk Pakam Subdistrict, so that it encounters obstacles in choosing the village head election. SPK is able to provide alternative solutions to semi / unstructured problems for individuals or groups and in a variety of decision making processes and styles, SPK uses data, databases and analyzes of decision models. Seeing this, researchers are interested in conducting research by applying the Extended Promethee II (EXPROM II) method to elect the best village head in a decision support system. It is expected that the results of the research can help the Lubuk Pakam sub-district
Implementasi Algoritma Massey-Omura dan Algoritma Elias Delcta Code Pada Pengamanan dan Kompresi File Dokumen
Authors: Manalu Rosalina
Published: June 2020

The rapid development of information technology requires users to be more careful in maintaining data confidentiality and security so that data is not known or manipulated by other parties. Data security is very important for users, data security can be maintained by everyone. Cryptography is one of the security tools used to encode a document file. One of them is by using the Massey-Omura algorithm, which is an asymmetric cryptographic algorithm, so that it has different keys for encryption and decryption. In the process of sending data, it also requires the duration of sending files to not give an opportunity to data thieves by compressing the data or reducing the size of the file to be smaller without losing the contents of the document file, so the data exchange process can be shorter Data compression is a process where text, audio, and video files are transformed into compressed files with smaller data sizes but do not lose the actual information. This study discusses the type of lossless compression, so that files obtained from decompression will be identical to the original data. Elias Delta Code is a type of lossless compression. The performance parameters of this algorithm will be measured by Ratio of Compression (RC, Space Saving (SS) and compression time. Data used in the testing process is data that consists of several types of characters. In this discussion will include explanation, how to work, advantages and The author will also try to provide a review of ways to improve the security level of document files.
Implementasi Data Mining Dalam Memprediksi Jumlah Pinjaman Dengan Algoritma C4.5 Pada Kopdit CU Damai Sejahtera
Authors: Manullang Sri Devi , Buulolo Efori , Lubis Ikhwan
Published: June 2020

The development of information technology now allows storing data in a very large time. This development has added to various fields, including credit facilities, so that the use of information technology in public institutions. Data mining is an activity that includes gathering the use of historical data to find the regularity of patterns, or relationships in large data. The process of predicting the number of customer loans so far in the savings and loan cooperatives is still based on looking directly at the loan amount of the customers and seeing the general ledger records in the cooperative. The application of the C4.5 algorithm is a case-solving solution that is often used in problem solving on classification techniques that have characteristics namely by the process of determining the entropy value and gain value from the possibility that each criterion is a reference decision followed by the process of the decision tree
Sistem Pendukung Keputusan Pemilihan Lokasi Pre-Wedding di Kota Medan dengan Menggunakan Metode VIKOR dan BORDA
Authors: Syahputra Ade
Published: June 2020

Decision Support System for the selection of pre-wedding locations using the Vikor and Borda methods. A tool has been made to select the pre-wedding location in the city of Medan. The criteria used in the decision support system for pre-wedding location selection are: access to the location, costs, location conditions and location situation. Knowing the process of selecting the best pre-wedding location that is still experiencing obstacles in the process of decision-making results for brides who want to do a pre-wedding photo session. Pre-wedding venue selection is very important because it determines the good results of the pre-wedding photo. Very many places that are very suitable for pre-wedding photo sessions for example in the city of medan. Decision Support Systems can come in forms, ranging from simple forms of data management to complex application forms and can also be used to accelerate and improve the quality of decision making processes in an organization
Sistem Pendukung Keputusan Dalam Menentukan Jenis Pohon Pelindung Yang Akan di Tanam Dipinggir Jalan Menggunakan Metode Promethee II
Authors: Telaumbanua Ardian Fadly , Syahrizal Muhammad , Murdani Murdani
Published: June 2020

A protective tree is a group of plants that have long canopy and thick leaves and trunk high enough to be a shade. Usually a protective tree becomes the main plant in a park. But what we often see is the protective tree planted along the road. Its function aside from being a shade tree is also intended to absorb pollution. It is necessary to determine the selection of the best tree species to be planted on the side of the road. The selection of protective tree species still uses a manual system and requires quite a long time. Based on these problems, we need a decision support system (SPK) that can facilitate the selection of the best protective tree species using existing criteria. One method that can be used is the Preference Ranking Organization Method for Enrichment Evaluation II (PROMETHEE II). This method is able to solve any type of problem in decision making with alternatives and criteria that have been given weight. Research using PROMETHEE II produces the composition of the usual protective trees to the best protective trees. The protective tree selection system was built using Microsoft Visual Studio 2008 and Microsoft Access 2010 as a database.
Rancang Bangun Media Pembelajaran Avionic - Radio Theory II Berbasis Multimedia Animasi pada ATKP Medan
Authors: Dwiyanto Dwiyanto , Indra Catra , Faisal Ahmad , Idris Iswandi , Khair Rizaldy
Published: June 2020

The importance of Learning Media is used by ATKP Medan to continuously improve the quality of learning. The problem that is often encountered in avionic learning is the limited resources available because to access avionic learning the cadets must access from the CBT LAB and cannot be from elsewhere. This is because Avionic software is only installed inside the lab and cannot be learned from outside the lab. The purpose of this research is to improve the digital avionic-Radio Theory II learning process which is packaged in multimedia animation to make it easier for cadets to learn avionic Radio Theory II without having to access it in the laboratory. The method used in this research is to use the MDLC Multimedia Development Life Cycle method, namely the Concept concept, design, material collection, assembly, testing, distribution, distribution, The resulting output is an animated video product and publication to the ISSN journal
Implementasi Metode Hybrid Case-Based Reasoning Untuk Mendiagnosa Pengidap Penyakit Post-Traumatic Stress Disorder(PTSD)
Authors: Simanjuntak Erdina Daniati , Sunandar Hery , Hondro Rivalri Kristianto
Published: June 2020

Post Traumatic Stress Disorder is a mental condition where a person experiences panic attacks that are triggered by past experience trauma. Having a traumatic event is a hard thing for anyone. Health services to the community are needed to support a healthy lifestyle. Limitations of health services in the community that are inadequate have a lot of negative impacts on some people who suffer from an illness, especially mental disorders caused by several events. This limitation will become an obstacle due to lack of health infrastructure in terms of consultation of the disease so that sufferers do not know the symptoms such as what they have experienced and how far the disease has been identified, so it is very much needed a solution and alternative in handling the problem of limited health services. By building a system that can help people with the disease, is expected to provide solutions for people with disease to take an action or consultation with an expert based on the system.
Penerapan Data Mining Untuk Estimasi Penjualan Obat Berdasarkan Pengaruh Brand Image Dengan Algoritma Expectation Maximization (Studi Kasus: PT. Pyridam Farma Tbk)
Authors: Nainel Yane Laheroi , Buulolo Efori , Lubis Ikwan
Published: June 2020

Data mining, often also called knowledge discovery in database (KDD), is an activity that includes the collection, use of historical data to find regularities, patterns or relationships in large data sets. The output of data mining can be used to improve decision making in the future. PT. Pyridam Frama Tbk is a multi-national company that produces pharmaceuticals. The problems that often occur at PT Pyrida Farma are estimation problems such as out of stock of goods at distributors, lack of labor, running out of raw materials at the factory. Another problem contained in the agency is that it does not yet have a system to predict the estimated drug sales each year, so we need an algorithm, the Expectation Maximization Algorithm. then with this made the Application of Data Mining for Estimating Drug Sales Based on the Effect of Brand Image. Expectation Maximization algorithm which is a method that supports in estimating or predicting sales target estimates for the coming period. Algorithm testing is done using SPSS and MYSQL software. From the results of research that has been done it can help the PT. Pyridam Farma to make it easier to predict drug sales estimates by using SPSS Software
Penerapan Algoritma LZ77 dan Algoritma Difference Coding Untuk Memperkecil Ukuran pada Citra Satelite Geoeye
Authors: Pratama Amanda , Syahrizal Muhammad
Published: June 2020

Geoeye satellite imagery is one of the satellite images that has a high resolution and is gaining in popularity in recent years. As one of the global satellite imagery, it is clear that this satellite image offers something that can amaze anyone of its users, this satellite image offers an earth surface image with a level of detail that can be considered extraordinary, and the level of accuracy after compared to satellite imagery that has high resolution the other
Penjemur Kerupuk Otomatis Menggunakan Sistem Kecerdasan Buatan Arduino Uno Dengan Menerapkan Metode Fuzzy Logic Controller (FLC)
Authors: Suandi Risal
Published: June 2020

Denang jangek cracker factory is a company located on the road denai Kota medan, this factory everyday produces jangek crackers, at the stage of production there is a stage of drying jangek crackers used manually, where crackers are placed outside the room exposed to the sun's heat at the drying stage . When the rainy season arrives this makes a lot of time taken up during the drying process because often it rains suddenly, then the crackers must be immediately put in or placed in a dry place not exposed to rain water. The FLC method is a method that is often used in making artificial intelligence systems that are applied to an Arduino uno microcontroller where the method only recognizes on or Off, 0 or 1, nothing is vague. From the description of the problem above, the writer makes an artificial intelligence system that is applied to a device, namely Arduino Uno, where the system thinks like humans, who can think like when it rains so that the tool will move or close crackers that are being dried in the sun so that it is not exposed to rain with using an FLC method applied to Arduino Uno
Implementasi Algoritma Apriori Untuk Menentukan Pola Data Penyakit Pada Anak Usia Dini (Studi Kasus: RS. Estomihi)
Authors: Purba Citra Verawati , Buulolo Efori
Published: June 2020

Hospital is a place to treat patients with different types of diseases, and hospitals are also one of the health services that are medical, healing and recovery for patients. Many people who want to seek treatment at the hospital both parents and including  early  childhood. Based on this, researchers are interested in looking for patterns from large-scale data and associating data with one another using the Apriori algorithm. Thus, the diseases suffered by early childhood can be classified based on the medical record data, so that the  pattern of early childhood disease can be known. The information produced can be used by the Hospital and the doctors on duty at the hospital to take the necessary actions in order to prevent the spread of a disease and also reduce the risk of death of patients suffering from disease
Perbandingan Antara SQLite, Room, dan RBDLiTe Dalam Pembuatan Basis Data pada Aplikasi Android
Authors: Putra Raden Bagus Dimas , Budi Eko Setia , Kadafi Abdul Rahman
Published: June 2020

Android is one of the largest mobile operating system platforms today. Amid the ever-increasing needs of users, Android programmers are still lacking to meet the current market needs. One of the problems that causes this is the difficulty of creating an internal database, so many people give up to learn to make Android applications. Android's internal database is hard to create because the entire data structure on that database should be built with the query executed in the created program code. Some of the common internal databases currently used are SQLiTe and Room. Both databases are quite difficult to learn where SQLite should build everything from scratch while Room should study the structure and systematics of of the library. Therefore, in this article, the author proposes library and template named "Relational Database Library and Template" which will be referred to as RBDLiTe which can create an internal database for Android applications easily which will also be compared with SQLiTe and Room in its use.
Simulasi Sistem Monitoring Link Metro Ethernet (ME) di PT Indosat Ooredoo Medan dengan Metode Doppler
Authors: Nainggolan Mhd Ramadhan , Pristiwanto Pristiwanto
Published: June 2020

Current technological developments have been so rapid, monitoring computer networks has become a very necessary thing. Computer network connection is a fundamental thing in a computer network that cannot be used. Likewise for the Metro Ethenet network work, If a parameter is problematic then the quality of the network will be reduced and Frequently occurs the duration of Metro ethernet monitoring and access to the report report ME becomes disrupted. This Final Project I will discuss how the Metro Ethernet Link Monitoring Simulation System in PT Indosat Ooredoo with the doppler method to determine the status of the Link on Metro Ethernet uses tree topology because it only simulates 3 Metro Ethernet and also discusses Metro Ethernet performance, which analyzes simulation applications, and Metro Ethernet Link status. Metro Ethernet is one of the technological solutions for High End Market (HEM) in providing integrated solutions for voice, data and video services. Metro Ethernet network has characteristics. Based on the above problems, a system for Metro Ethernet Link monitoring simulation is needed at Indosat Ooredoo to get better results than the previous system.
Sistem Pendukung Keputusan Pemilihan Pegawai Pemerintah Non Pegawai Negeri (PPNPN) Terbaik Pada Kantor Imigrasi Kelas I Polonia Medan Menerapkan Metode Multifactor Evaluation Process (MFEP)
Authors: Agatmadja Muhammad Wirza Pratama , Nasution Surya Darma
Published: June 2020

The decision making process for the selection of the best non-civil servant government employees is still done manually, where in the election there are still often some non-civil servant government employees (ppnpn) that are not appropriate as desired by the agency, so that in the election there are still nonconformities with existing procedures, therefore the need for a decision support system that will later assist in the decision making process. Decision support system is a system that can be used to support decision makers with the best alternative in making decisions in the process of selecting non-civil servant government employees (PPNPN) at the Polonia Class I Immigration Office. The Multifactor Evaluation Process (MFEP) method is a fairly simple method that can be used in decision making to analyze multiple criteria. This method will make decisions with several criteria that conflict with each other and will produce the greatest value that will be selected as the best alternative. The results of the calculation of this method will be as expected if the chosen alternative meets the specified criteria. Thus a decision support system is needed so that it can help make the right decision in the selection of the best non civil servant government employees (PPNPN) at the Polonia Class I Immigration Office. In a decision support system there are several methods that can be used to solve a problem in making a decision
Rancangan Aplikasi Sistem Pakar Diagnosa Penyakit Mononukleosis Dengan Metode Naive Bayes
Authors: Restari Rizky Hasanah , Sinurat Sinar , Suginam Suginam
Published: June 2020

Health is one of the important factors for carrying out daily activities. However, some people do not care about the health of their bodies so that in the end many diseases that are diagnosed late cause the condition at a serious stage. One of the diseases in question is mononucleosis. In general, if the community is exposed to symptoms of mononucleosis, they will go to the nearest hospital or health center to do the examination. But on the other hand they have to sacrifice enough time for that. For this reason, it is necessary to make an application for a disease diagnosis expert system for the community as a means of overcoming these problems. With this design, an expert system of mononucleosis is produced, where this system uses the naive bayes method and the doctor's knowledge into the system. This expert system will produce output / output in the form of the diagnosis of mononucleosis