bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGUKURAN TINGKAT KEMATANGAN APLIKASI PENJUALAN DENGAN PENDEKATAN COBIT 4.1 STUDI KASUS: PT TOSINDO SURYA CERMERLANG
Authors: Wijaya Roby , Aryanto Kevin Samuel , Steven Steven , Wijaya Hermawan , Andry Johanes Fernandes
Published: October 2022

PT Tosindo Surya Cemerlang merupakan perusahaan yang bergerak di bidang import mainan anak. Perusahaan ini telah menerapkan sistem informasi untuk membantu dan memudahkan para pegawai / karyawan untuk melakukan jurnal pembukuan, pembuatan Invoice, Pencatatan Stock, dll. Masalah yang sering terjadi pada perusahaan ialah sortir barang yang kurang pas dan tidak dapat membuka rincian bulanan penjualan. Audit sistem informasi dilakukan di perusahaan ini untuk mengamati tindakan yang akan dilakukan perusahaan untuk mengatasi atau mencegah masalah tersebut. Sebuah teknologi yang dapat digunakan untuk mengecek performa dan kinerja dari sebuah perusahaan dan meningkatkan kualitas menejemen perusahaan agar dapat bersaing dengan perusahaaan-perusahaan besar lainnya. Penelitian tentang audit terhadap perusahaan yang akan dilakukan menggunakan framework COBIT 4.1. Beberapa domain yang digunakan dalam pengukuran tingkat kematangan pada aplikasi penjualan yaitu untuk mengkonfirmasi dan menjamin kinerja perusahaan. Hasil dari audit yang dilakukan akan diobservasi untuk mencari solusi yang akan diajukan kepada perusahaan. Setiap sub-domain yang digunakan memiliki level atau tingkat ukuran berdasarkan standar internasional yang dapat melihat bagaimana kiranya kinerja dari perusahaan telah berjalan dengan maksimal atau belum. Dari hasil yang ditemukan pada perusahaan terdapat beberapa bagian dari perusahaan yang kurang maksimal sehingga kedepannya dapat lebih ditingkatkan lagi. Terdapat beberapa saran yang akan direkomendasikan kepada pihak perusahaan untuk meningkatkan kualitas menejemen perusahaan supaya bisa lebih baik lagi
Verb Tense Forms as a Means of Simultaneity Expression in English and Russian
Authors: Lutfullina Gulnara Firdavisovna , Antropova Anastasya Evgenievna
Published: October 2022

The paper analyses the functioning of verb forms as means of expressing the semantics of simultaneity in English and Russian. The aim of the paper is to identify allomorphic and isomorphic features of the functioning of tense forms as morphological means of simultaneity expression. The study is novel in that it identifies correlative forms in both languages and at the same time considers variability of the meanings of simultaneity that they represent. Isomorphism is manifested in the fact that the conjunction “while” / «пока» explicating the meaning of simultaneity in polypredicative complexes - compound sentences is used in both languages. Allomorphism is found in the fact that the potential of expression by tense forms is much higher in the Russian language compared to English. The coincidence of imperfect forms and the present tense forms of predicates leads to actualisation of the meaning of complete, unlimited simultaneity, while the use of different tense forms leads to the realisation of partial simultaneity.
Palestinian Alienation Experience in Adania Shibli’s Novel “Minor Detail”
Authors: Vlasova Yuliya Evgen’evna
Published: October 2022

The paper examines the issue of a person’s alienation using the novel “Minor Detail” by the Palestinian writer Adania Shibli as an example. The researcher proves that alienation from the outside world helps the heroine to strive for personal freedom. The study aims to provide insight into the issue of alienation of Palestinians in Adania Shibli’s novel “Minor Detail”. Scientific originality of the study lies in the fact that the paper is the first to carry out a comprehensive analysis of this work through the lens of the alienation technique. As a result, it has been determined that the technique of removing characters from public life and depersonalising them makes it possible to delve into the essence of the Arab-Israeli conflict and create a realistic picture of the Palestinian life in the late XX - early XXI century.
Functional and Semantic Features of the Personal Pronouns ԓўв and тав in the Khanty and Mansi languages
Authors: Moldanova Irina Maksimovna , Fedorkiv Lyubov Alekseevna
Published: October 2022

The purpose of the study is to determine the functional and semantic features of the personal pronouns ԓўв and тав in the Khanty and Mansi languages. The study is novel in that it is the first to provide a deeper insight into the functioning of the personal third-person pronouns singular ԓўв and тав, using the material of the Ob-Ugric languages. It is shown that these word forms take part in the deictic, anaphoric function, as well as in the function of social deixis. The study discussed the issues of using the pronouns to refer to animals and the peculiarities of some subdialects of the Shuryshkar dialect of the Khanty language in terms of person-verb agreement. As a result of the analysis, the researchers have determined the scope of meanings and have described the features characteristic of the Ob-Ugric languages.
Adyghe Linguistic Personality in Epic Discourse: Translation and Linguocultural Aspects
Authors: Anchek Suret Khazretovna
Published: October 2022

The study aims to describe how the Adyghe linguistic personality is realised as a translator of an epic text. Scientific novelty lies in identifying ethnospecific units introduced into texts to convey meanings that have no exact analogues in Russian culture, in the Russian language; in describing the ways of their introduction. As a result, it has been found that the translator’s linguistic personality possesses two language structures equally, has great communicative freedom in introducing Adyghe lexical units into the lexical layer of the Russian language.
Literary Characters of Russian Recruitment Song Folklore of Udmurtia
Authors: Tolkacheva Svetlana Viktorovna
Published: October 2022

The aim of the research is to study the song folklore of the Russian recruitment rite of Udmurtia. The analysis of the mythopoetic characteristics of the main characters is carried out. The research is novel in that it is the first to identify mythologemes associated with the description of recruits getting their hair cut, using Russian texts of recruitment songs of Udmurtia as an example. The correspondences between the customs of cutting a new recruit’s hair and a child’s first haircut in the traditional culture of Russians, Besermyans, Tatars, Udmurts are indicated. As a result of the research, it has been found that many poetic plots and motifs of songs of the recruitment rite are characteristic of wedding and calendar folklore. It has been shown that typological similarity in the arrangement of the verbal code in recruitment and wedding songs is also inherent in Mari and Udmurt folk culture. Differences in the methods of describing female and male characters of recruitment songs are noted.
Thematic Variability of Humorous Lexicon during the Coronavirus Pandemic
Authors: Semerdzhidi Valentina Nikolaevna , Makoedova Nadezhda Vsevolodovna
Published: October 2022

The study aims to determine the thematic scope of the Russian humorous lexicon during the coronavirus pandemic. Scientific originality of the paper lies in the investigation of the object of the humorous units, which are a part of the speech behaviour strategy transferring national-comic world perception, as well as the main ways of their formation. As a result, the researchers have classified the humorous lexicon into ten groups (names of the types of people; pastime and work; place of living; diseases and health; verbs naming processes associated with the disease during the pandemic; new objects; scientific areas; drinks and food; mood; transformed set expressions) and have analysed the typical ways of word formation of the humorous lexicon.
Implementasi Metode Line Column Interpolation Untuk Pembesaran Skala Citra Hasil Cropping Selection Area
Authors: Lase James Supriadi S
Published: October 2022

Image processing is any form of signal processing where the input is an image, such as a photo or video frame, while the output of image processing can be an image or a number of characteristics or parameters associated with the image. A digital image is a sequence of real or complex numbers represented by certain bits. Generally, digital images form rectangles or squares (in some imaging systems there are also hexagons) that have a certain width and height. At the time of sending the image, it often experiences damage to the image which results in a decrease in quality or a decrease in image quality. Often the information presented with the image is different from the original image. In this study, the authors propose the Line-Column Interpolation Method (LCI) as a new method. This method was tested to enlarge the size of medical images. Larger image sizes produce larger objects while preserving their local structure values. Thus, the results of the enlargement make better observations of objects in the image. The benefits that the author wants to achieve in this study are to be able to obtain better image scale enlargement results than before and to find out the advantages and disadvantages of using the LineColoumn Interpolation method in image scale enlargement.
Perancangan Aplikasi Game Maze Escape Dengan Menerapkan Algoritma Greedy Untuk Pencarian Jalur Terpendek
Authors: Sopianto Nanda , Mesran Mesran
Published: October 2022

In modern times games that require extensive space and spend a lot of resources such as the maze game are starting to disappear. But the development of technology made games such as maze escape develop in the form of computer simulations. The purpose of this study is to design a game that can be played to fill free time and eliminate boredom and simultaneously train the player's brain. To determine the most optimal route, the route that has the shortest distance is using the Greedy algorithm approach. The Greedy algorithm is an algorithm that solves problems step by step and is one method in optimization problems. The approach used in the Greedy algorithm is to make a choice that looks to provide the best gain, namely by making a choice of local optimum at each step and is expected to get a global optimum solution.
Penerapan Algoritma Simplified Memory Bounded A* Pada Permainan Hangman Indonesia
Authors: Batubara Muhammad Yusuf , Mesran Mesran , Hasan Yasir
Published: October 2022

Learning Games are additional tools or facilities used to entertain and add insight to users. The use of learning games or education games is very suitable for children, teenagers and parents even at all ages. This educational game is very easy to reach and use because it is already in everyone's grasp, Hangman Game Mobile is a word game that aims to guess what the questioners mean by guessing the letters one by one so that they are arranged into a word. The Hangman game used to be only made from a piece of paper or on the blackboard in front of the students and asked the answer one by one to the students (students) so that with this activity there was a hangman game. Hangman game based on Android smartphone from several components that can be run inside the application such as letters, actors, hanging poles, ropes, answer columns. This research resulted in a Hangman game application aimed at Learning which was applied on an Android samartpone device and to be developed at a later date.
Komparasi Metode Decision Tree, KNN, dan SVM Untuk Menentukan Jurusan Di SMK
Authors: Sinaga Novendra Adisaputra , Ramadani Ramadani , Dalimunthe Khoirunsyah , Lubis Muhamad Sayid Amir Ali , Rosnelly Rika
Published: October 2022

The selection of majors for prospective vocational students is the first step in determining the next career. The determination of the major aims so that students can be directed in receiving lessons based on the ability and talent of students and of course when they have graduated have the skills to get a job if they do not continue their studies. Siti Banun Sigambal Private Vocational School is located in Labuhanbatu Rantau Prapat. In realizing one of the missions of SMK, namely Realizing quality learning in Vocational High School, SMK Siti Banun in determining the Department by conducting tests. In classifying data mining techniques can be used, among others Decision Tree, K-Nearest Neighbors (KNN) and Support Vector Machine (SVM). This research was conducted to compare the performance of Decision Tree, KNN and SVM algorithms in determining majors. Of the 245-test data used obtained SVM has an accuracy value of 89%, precision 87% while KNN has an accuracy value of 84%, precision 81% and Decision Tree has an accuracy value of 78% and precision of 75%.
Pemanfaatan Framework Codeigniter Dalam Pembuatan Sistem Informasi Bimbel Bahasa Inggris Berbasis Web
Authors: Dharmawan Weiskhy Steven , Ardiyansyah Ardiyansyah
Published: October 2022

The Pontianak English Village Tutoring Center is one of the institutions engaged in English education. The system applied still uses book media for recapitulation or report presentation. The problem that becomes an obstacle for the English village is that the admin who processes the data often makes mistakes and delays in recording and making reports. Therefore, this study describes the creation of a web-based English tutoring information system using the Codeigniter framework in assisting the required information system. In addition, in this study the author uses a descriptive method and the waterfall model. This information system consists of three users, namely: admin, student, and owner. Where the admin can manage all menu data consisting of registration confirmation, student payments, schedule input, classes. Students register, pay, and re-register. While the owner sees the report data that has been inputted. This web-based tutoring information system is expected to help Pontianak English Village in recording all existing activities and students who want to register do not need to bother coming to the place, only using mobile phones can register and make payment transactions using the website
Penerapan Algoritma Ascent Hill Climbing Pada Game Edukasi Penyusunan Deretan Angka Puzzle-8
Authors: Sari Mike Febri Mayang
Published: October 2022

Number preparation using Puzzle 8 is a game that is very popular with children at this time, this educational game has very broad benefits for improving memory and thinking patterns. The 8 Puzzle Game Algorithm must have a clear step-by-step process in order to achieve a goal in the Search system. Logic Game 8 puzzles using the Ascent Hill Climbing Algorithm are often used in artificial intelligence. The problem that occurs in the research, the lack of understanding of children to find a suitable algorithm to arrange the 8 Puzzle game according to the principle of how an algorithm works. The game of compiling 8 puzzles must follow the rules that have been determined in order to obtain the correct algorithm so as to produce an arrangement that is in accordance with the initial data. The benefit of this research is that it provides a solution to complete the game of 8 puzzles according to the rules of the Ascent Hill Climbing Search Algorithm so as to produce a solution in the search method. Based on the search process, the final result of the puzzle game is in the correct position of 8 squares according to the initial rule, so the search is stopped and produces a goal.
Pemanfaatan Algoritma Generate and Test Dalam Kasus Travelling Salesman Problem Pencarian Jalur Terpendek
Authors: Maulana Algifanri
Published: October 2022

The Generate and Tesr algorithm is a very simple method in a heuristic search. The completion process of this algorithm is a combination of depth-first search with backtracking because the solution must be generated completely before testing. systematically and following procedures will find a solution. The problem in this study is that if the problem discussed in the Generate test algorithm is very broad, it takes a long time to solve it. The main purpose of this study is to find the shortest alternative route to find a solution in order to obtain the smallest route so as to save transportation costs. The final result of this study obtained 8 paths to the final destination, 2 paths that have the shortest route, namely the A-C-F-I-T and A-C-E-G-T routes. So that the tests carried out can pass through 2 paths to be able to visit the city.
Aplikasi Cerdas Membantu Orang Tua Meningkatkan Kecerdasan Anak Dalam Pembelajaran Online Pandemi Covid -19 Dengan Algoritma C4.5.
Authors: Ginting Erika Fahmi , Ibnutama Khairi , Kusnasari Sri
Published: October 2022

During the current covid-19 pandemic, parents must play a direct role as teachers during online learning from school for their children at home. Knowing the potential intelligence of children is certainly important for parents. By analyzing the ability of the right and left brain, a child can be directed and developed according to their respective abilities. The ability of children's brains at the age of 6 to 12 years is very good to make parents and teachers more selective in determining suitable learning methods to apply them to children. The system that will be built in this research makes it possible to determine the potential of brain intelligence possessed by a child by classifying based on alternatives from the state of right brain or left brain intelligence provided in the database to determine the child's potential. The process of classifying the potential intelligence of children is carried out using the C4.5 Algorithm method pattern from the field of Data Mining. The results of this study are applications that can help parents understand the potential of a child. during the pandemic. The results of making the system that has been carried out have been tested using Rapid Miner and get accurasy results of 90% and classification error with a value of 10%.
Sistem Pendukung Keputusan Pemilihan Peserta Olimpiade Karya Ilmiah Tingkat Nasional Menggunakan Metode SAW
Authors: Sallaby Achmad Fikri , Sari Venny Novita , Alinse Rizka Tri
Published: October 2022

Participants of the national level scientific work olympic are participants who will take part in competitions between one campus and another on a national basis in showing scientific works or research results with certain themes in a competition. The importance of choosing is because an olympic participant is a pride and also brings the good name of the college where they study, if you bring the wrong participant it will create new problems in assessing the quality of a university, in this study, the selection of participants for the olympic scientific work at the national level using concept of the algorithm of a decision support system using the MOORA method. The MOORA method or the abbreviation of Multi-Objective Optimization on The Basis Of Ratio Analysis is a decision support system method that has simple stages and processes in solving problems. The results of this study found the highest score with the candidate with a value of 10.93991.
Decision Support System untuk Menentukan Lokasi Cabang Baru Muhri Fashion Menggunakan Penggabungan TOPSIS dan SAW
Authors: Pertiwi Winda , Nurahman Nurahman , Aziz Abdul
Published: October 2022

Business is a commercial field of business that is in great demand. One of them is a business in the field of fashion or fashion. Fashion or fashion is something that is in demand by the wider community with an attraction to the way, pattern, and even decoration in the form of clothing, levis, trousers, and other fashions. The owner of the Haji Muhri shop is one of the people who are interested in doing business in the fashion world. The shop owner will set up a new store branch in the East Kotawaringin area, Central Kalimantan. The researcher offers owners to use a combination of the Simple Additive Weighting (SAW) method and the Technique For Order Preference By Similarity To Ideal Solution (TOPSIS), as a decision support system. Decision support system is a system that has the ability to perform an analysis of the decision-making model. Decision support system (DSS) is also a system with alternative processes that have a specific purpose, meaning that this system can be used in situations that are even very rare. The combination of methods between SAW and TOPSIS serves to produce an optimal decision based on alternatives and predetermined criteria. This study uses 7 locations as alternatives and 9 criteria. In this study, the alternative locations chosen were Mentawa Baru Hulu, Mentawa Baru Hilir, Ketapang, Sawahan, Baamang Hulu, Baamang Tengah, and Baamang Hilir, which resulted in Mentawa Baru Hilir with a value of 0.751 or 75.1% as the highest value from the location. other calculations that have been made to be the best alternative for the location of the new branch of the Haji Muhri Fashion Store
Klasifikasi Kondisi Gizi Bayi Bawah Lima Tahun Pada Posyandu Melati Dengan Menggunakan Algoritma Decision Tree
Authors: Zami Ahmad Zam , Nurdiawan Odi , Dwilestari Gifthera
Published: October 2022

One of the health problems in Cirebon is about nutritional status. This happens because the increase and decrease in the number of children under five who experience nutritional status problems each year is uncertain. Toddlers are a group of people who are vulnerable to nutrition. The incidence of malnutrition if not addressed will cause a bad impact for toddlers. The impacts include death and chronic infection. Early detection of undernourished children (malnutrition and malnutrition) can be done with an examination of weight for age (W/U) to monitor the child's weight, the parameters used to calculate the nutritional status of toddlers include age, weight and height/length. To classify the nutritional status of children under five, a knowledge or scientific study is needed that can classify data based on the data from measurements and weighing. This study uses 8 criteria, namely Name, Address, Mother's Name, Gender, Age, Weight, Height, Status Classification. The accuracy results obtained are 98.86% with details, namely the Prediction Results of Malnutrition and it turns out that the True Malnutrition is 13 data. Poor Nutrition Prediction Results and turns out to be True Normal by 1 Data. Normal Prediction Results and it turns out to be True Malnutrition is 1 Data. Normal Prediction Results and turns out to be True Normal of 161 data. The results of the classification of infant levels based on age, infants aged 0 months to 10 months had normal nutrition, while infants aged 10 months to 19.5 months were prone to malnutrition for infants, and those aged more than 19.5 months had poor nutrition. normal.
Penerapan Big Data Analytic Terhadap Strategi Pemasaran Job Portal di Indonesia dengan Karakteristik Big Data 5V
Authors: Aldisa Rima Tamara , Maulana Pandu , Abdullah Mohammad Aldinugroho
Published: October 2022

The impact of the COVID-19 pandemic has paralyzed the business sector, resulting in changes in business activities in many companies today. Many companies are competing to digitize their business, PT XYZ is one of them. PT XYZ is a company engaged in outsourcing. Outsourcing companies are one of the many types of companies that have been heavily impacted during the COVID-19 pandemic. In order to restore its business, PT XYZ has an innovation in the form of a job portal. PT XYZ always strives to market its job market. This is the biggest challenge that PT XYZ has on its job portal. Therefore, it is necessary to apply big data to be utilized by PT XYZ. This study reviews the application of big data on the job portal of PT XYZ. The implementation of big data refers to the five characteristics of big data (5V), volume, variety, velocity, veracity, and value. The method used to obtain data in this study is through interviews and observation. The results of this study indicate that the five characteristics meet the criteria for the application of big data. This allows PT XYZ's job portal to apply big data analytics to its marketing strategy.
Implementasi Aplikasi Pelayanan Warga Berbasis Android Berbasis User Centered Design
Authors: Rasiban Rasiban , Mulyana Dadang Iskandar , Lestari Sri , Pratama Muhammad Fakhri , Yansen Yansen
Published: October 2022

Technological developments in the modern era as it is today, there have been many innovations from scientists, communities and students to facilitate human activities. The results of this innovation are expected to help people's daily activities. However, there have not been many innovations that can facilitate human work, one of which is in the field of citizen services, such as the area of Rt 007 Rw 014 Kelurahan Pgilan, East Jakarta, which is currently trying to develop into a more developed and better area. The analytical method and technique used in this research is a SWOT analysis, by looking at the company's business needs and objectives. So the researcher aims to develop an Android-based application for the citizen service information system, because it will be very helpful in the citizen data storage system, as well as other citizen services directly in the citizen service application. And it can be directly accessed by the head of Rt 007. In making this Android-based application, the Java programming language is used as the Sharedpreferences database. With this citizen service application system, it is hoped that it will make it easier for the people of Rt 007 who are involved in data management and the head of Rt 007 or other management can monitor the application of citizen services
Implementasi Algoritma K-Medoids Dengan Evaluasi Davies-Bouldin-Index Untuk Klasterisasi Harapan Hidup Pasca Operasi Pada Pasien Penderita Kanker Paru-Paru
Authors: Septiani Ike Wahyu , Fauzan Abd. Charis , Huda Muhamat Maariful
Published: October 2022

Lung Cancer is a disease in which there are cells that grow in the lungs by a collection of carcionogens uncontrollably. Lung Cancer can be treated with surgery, chemotherapy and radiotherapy. Early treatment that needs to be done to reduce the mortality rate in patients with lung cancer after performing thoracic surgery, by collecting data from each patients regarding this information causes a new problem, including the data obtained including high-dimensional data and has many attributes so that it can produce less accurate information. So it is necessary to calculate data mining clustering. In general, the methods for performing clustering are grouped into four parts, namely partitioning, hierarchial, grid-based and model-based. This study used the k-medoids algorithm because it is able to handle data sensitive to outliers and has high accuracy and efficiency in processing large numbers objects. The results of the k-medoids calculation were evaluated using the euclidean distance Davies Bouldin Index which resulted in a DBI value of 0.93543 indicating that the k-medoids algoritm achieves good grouping because the final result of the calculation is less than 0. From the results of the evaluation using DBI it shows that the k-medoids algorithm has an average accumulation average at the time of execution is quite fast and the cluster quality is good.
Sistem Prediksi Pertumbuhan Ekonomi Kabupaten Musi Rawas, Kabupaten Musi Rawas Utara Dan Kota Lubuklinggau Dengan Metode Regresi Linier
Authors: S Andri Anto Tri , Armanto Armanto , Wijaya Harma Oktafia Lingga , Sari Wisdalia Maya
Published: October 2022

The economic condition of a region in each period can increase or decrease by looking at changes in goods and services. An increase in economic activity is a process of changing economic conditions that occur in an area on an ongoing basis to get to a better state for a certain period of time. Economic growth is a benchmark in achieving the development of economic conditions in a region so that it has an impact on increasing people's welfare. South Sumatra's economic growth in the first quarter of 2021 improved compared to the previous quarter. Similar to economic growth in South Sumatra Province, the districts and cities in it (Musi Rawas Regency, North Musi Rawas and Lubuklinggau City) also experienced ups and downs of economic growth. With the current ups and downs of economic growth, Musi Rawas Regency, North Musi Rawas and Lubuklinggau City need accurate information about the picture of economic growth in the future, this is intended to be able to prepare various policies or actions so that the level of the economy in Musi Rawas Regency, Musi North Rawas and Lubuklinggau City can be increased. Based on this problem, Musi Rawas Regency, North Musi Rawas and Lubuklinggau City need a prediction system in order to see a picture of economic growth in the future. The purpose of this study is to design a prediction system that can predict the rate of economic growth in Musi Rawas Regency, North Musi Rawas and Lubuklinggau City. The method used in the prediction system is a simple linear regression method, the use of a simple linear regression method in this study due to the limited time of the study and used to determine the direction of the relationship between the independent variable and the dependent variable, whether it has a positive or negative relationship and to predict the value of the dependent variable if the value of the independent variable increases or decreases.
Rancangan Sistem Informasi Pada Kasir Berbasis Web
Authors: Rashifah Zahra , Budi Eko Setia
Published: October 2022

11eleven is a business engaged in the culinary field of beverages that offer products made from Matcha and Milk Tea, which is located in Ciputat, South Tangerang City. The operational activities of cashier transactions carried out at this store are still carried out in a long time or conventional way. In the transaction process it is written on a piece of note paper, so that for making a transaction paper paper report is collected then the writing of the report is recorded one by one. The use of this manual system can certainly conclude a lot of problems, such as wrong in providing prices, wrong in the calculation of payments, writing on unclear orders, causing services to buyers to be ineffective and efficient, then loss of sales transactions, damage in the memorandum sales, errors in inputting sales reports, so that reporting is inefficient and effective. From these problems, a computerized information system is needed to solve the problem, namely by implementing a web -based cashier information system. The purpose of making this web -based cashier information system is to facilitate the sales activities as well as operational activities at the 11eleven store. The prototype method is the method used in the creation of this web -based cashier information system. Making this website the author also uses Codeigniter framework and boostrap. With the results of the web -based cashier information system, it is expected to provide convenience in carrying out the assistance activities at the 11eleven store.
Implementasi Algoritma K-Means Clustering Dalam Penilaian Kedisiplinan Siswa
Authors: Mawarni Qorik Indah , Budi Eko Setia
Published: October 2022

Education has a very important role for students, not just potential but noble character in the form of discipline, therefore it is necessary to group each school based on student discipline. Implementing a clustering system with the K-means method which is used to classify and determine the value of student discipline which produces a clustering output of student discipline that is beneficial for the school to prevent students from misbehaving early on. Analysis of data needs used in this study in the form of primary data obtained from a questionnaire given to students. The attributes used are presence, neatness and behavior. Student discipline assessment can be carried out using the k-means clustering method. This study applies the K-Means clustering algorithm method using Microsoft Excel 2013 and Orange which performs the data mining process. The results of the research implementation of the k-means clustering algorithm in student disciplines are divided into three clusters. From a sample of 133 students, 41 students were included in cluster one (C1), then 33 students were included in the second cluster (C2), and 59 students were included in cluster three (C3). The results of grouping the level of student discipline using the k-means method can be used as a reference or assessment of the discipline of each student.
Implementasi Metode Design Sprint dalam Perancangan UI/UX Aplikasi Golek Kost Berbasis Mobile
Authors: Khoirunisa Nur Ifani , Ramadhani Erika
Published: October 2022

The city of Yogyakarta is known as the City of Students or the City of Education because of the many educational centers that stand there. This has made students from outside the region interested in studying in Yogyakarta. The large number of students studying in Yogyakarta makes many people in Yogyakarta open boarding and renting businesses which is a necessity for students from outside the region who come to take their education. The difficulty in finding a boarding house or renting a place that fits the needs is the main obstacle faced due to the lack of information received. In the current era, the digitization process has developed rapidly because most people spend their time holding smartphones, so many mobile-based applications can help with all their needs and needs. One of them is a boarding house search application, e-commerce, and delivery services. However, these three service features are not yet in one application. This makes Golek Kost want to create a mobile-based application that consists of these three features, to make it easier for students to search for boarding houses, boarding furniture, and transportation/moving services. The method used in designing the Golek Kost application is the design sprint. In this method there are four stages, namely: understanding (understanding), divergent (developing), decide (decide), prototype (create a prototype), and validate (validation). The final result of this research is the validation of the prototype design from the UI and UX side, after getting feedback from potential users. Making this prototype design will be made using Figma tools.
Penerapan Algoritma C4.5 Untuk Memprediksi Penjualan Lele Pada Kolam Pancing Galatama
Authors: Diansyah Tengku Mohd , Exprada Yogi
Published: October 2022

Advances in technology and information today can produce a smart innovation in business, which we can call business intelligence. In this technological advancement is the use of previous data which will later be used to obtain a data update to increase sales of a product in this case the technique is called a data mining technique which can extract useful information from the sales data warehouse. The use of data mining techniques is expected to help speed up the decision-making process,enabling decision-makers to manage the information contained in transaction data into new knowledge. Therefore the seller must be more careful in providing the type of product, in this case the researcher conducts research on the sale of catfish which will be in great demand, so that the seller will be able to provide recommendations for the type of catfish that has the most demand, so that the seller can classify types of catfish from the type, price, and weight of the catfish using aclassification method carried out using the C4.5 data mining algorithm. The C4.5 algorithm is a tree data type decision classification algorithm. The decision tree C4.5 algorithm is built in several stages which include selecting the attribute as the root, creating a branch for each value and dividing the case on the branch. This step will be repeated for each branch until all cases in the branch have the same class. From the results of tree testing of decision search results from sales datausing the RapidMiner Studio application, the results that have the highest gain in predicting catfish sales are weight and type so that it will produce the status of selling catfish in demand and those that are not selling by giving a value of >= 25 in katakana in demand. and <25 are said to be not selling well, so the Galatama pond manager can make a reference to pay attention to these two variables in selling catfish to get the best sales.
Implementasi Bcrypt dengan SHA-256 pada Password Pengguna Aplikasi Golek Kost
Authors: Giffary Rynaldy Shulton , Ramadhani Erika
Published: October 2022

Brute force is the breaking of passwords in the SHA¬-256 algorithm, so that systems using this algorithm are easy to retrieve important data. In addition there is MD5 which can cause collusion. However, there is an algorithm that can withstand brute force attacks, namely bcrypt. Personal data security is a top priority on every system. Brute force is a cyber crime that needs to be watched out for. The purpose of this study is to examine the bcrypt algorithm used as a password in order to be able to survive brute force attacks. Because bcrypt has a cost and a salt value
Penerapan Metode Additive Ratio Assesment (ARAS) Pada Sistem Pemilihan Tempat Kursus Bahasa Inggris Online
Authors: Setiyani Hari
Published: October 2022

The selection of the right place for the online English course is certainly expected to produce output that is in line with expectations. For this reason, a solution is needed to help make decisions on choosing the right place for online English courses. A system that can assist in making decisions and can provide recommendations for the right choice is a decision support system (DSS). In the implementation of DSS, appropriate methods or models are also needed according to the cases discussed. One method that can be used is the Additive Ratio Assessment (ARAS) method. The ARAS method is a multi-criteria decision-making method based on the concept of classification using the utility level by comparing the overall index value of each alternative with the overall optimal alternative index value. The system created has features or functions that are in accordance with the needs of using the ARAS method in calculating to perform alternative rankings. Based on the case studies conducted, ARAS was able to find the best alternative from several alternatives with Lister results of 0.459, Engoo of 0.635, Golden English of 0.702, English Academy of 1. The system was made using the XP methodology, with features including being able to manage criteria values, alternatives and count to display the ranking of the best alternatives. In terms of functionality, the system that has been made has met expectations or in other words 100% functions well, and produces calculations that are in accordance with manual calculations. This system can be implemented in a choice of online English courses quickly and precisely.
Perancangan dan Implementasi Sistem Pemantauan Suhu dan Ketinggian Air pada Akuarium Ikan Hias berbasis IoT
Authors: Wijaya Piter , Wellem Theophilus
Published: October 2022

Environmental monitoring and control systems of various electronic equipment such as sensors, actuators, televisions, lights, and surveillance cameras are one of the essential applications of Internet-of-Things (IoT). The utilization of IoT has also given birth to the smart home concept, which is realized in the form of home automation, where various equipment at home is equipped with a microcontroller and WiFi module such that they can connect to the Internet and interact with each other. One of the equipment at home that can be monitored and controlled using IoT technology is a fish aquarium which is commonly owned by ornamental fish cultivators or people who have a hobby of taking care of ornamental fish. Taking care of ornamental fish requires special attention to the parameters of temperature and water quality such that the fish can grow well. This study aims to design and implement an IoT-based temperature and water level monitoring system in an aquarium. The hardware in this system is implemented using NodeMCU ESP8266 as the central controller and the WiFi module that connects the system to the Internet, temperature sensor DS18B20, ultrasonic sensor HC-SR04, and relays to turn on and off equipment controlled by the system. In addition, Telegram bots are used to give commands to control equipment and receive notifications from the system. The testing results show that the designed system can work according to predetermined specifications. If the water temperature in the aquarium is outside of a specified range (24°C to 32°C), the system will activate a fan or a heater to adjust the water temperature.
Analisis Sistem Pendukung Keputusan Penentuan Penerima Beasiswa Menggunakan Metode SAW dan AHP
Authors: Sarita Rakhma , Bachtiar Lukman
Published: October 2022

Scholarship is one of the allowances given to students as study aid provided by the government. Likewise with the Kotawaringin Timur government, which annually provides scholarship assistance to students with limited conditions and quotas. Formal educational institutions under the auspices of the Kotim Regency Education Office, students or college students get a quota for those participating in the scholarship program for underprivileged and high achieving criteria from the government. Therefore, scholarships must be given to students who deserve and deserve to get it in accordance with the regulations that have been set at the Kotim Regional Secretariat office. This selection process requires accuracy and a long time, because each data is compared with each other according to predetermined criteria. This study resulted in the final value of the comparison between the SAW and AHP methods. The final result with the SAW method the highest value obtained by the fifth alternative with 100. While the final result with the AHP method obtained the highest value by A1 with a value of 0.4734.
Implementasi Algoritma K-Nearest Neighbors Pada Penentuan Jurusan Siswa
Authors: Alkhussayid M. Daffa , Ferdiansyah Ferdiansyah
Published: October 2022

SMA Negeri 8 Palembang has two majors, namely science and social studies. Determination of majors is done when in class X to determine the majors of the student. This research was conducted because the teacher had difficulty in determining the majors at SMA Negeri 8 Palembang. In the research case, the researcher uses the classification with the k-Nearest Neighbors algorithm, and the Euclidean distance measurement method to predict the students in determining the majors that will be taken by students. The source of the data for this research is the report card scores for the X grade students of SMA Negeri 8 Palembang, and the data for this research are 335 data on the grade X students of SMA Negeri 8 Palembang. The data collection was taken from the grade X class report cards, namely mathematics, physics, biology, English, Indonesian, history, geography, economics, and psychological test scores. In determining the majors, students in science and social studies get the average score of all subjects and the psychological test scores produced by these students to enter the science department with an average score of 80, math score 78, physics 78, biology 78, and psychological test 80. If students get an average score below 80, it will be predicted to enter social studies, to enter the social studies department with a minimum score of 70 geography subjects, 70 economics, 70 history, and 70 psychological test scores. The results obtained in this study used the K method. -Nearest Neighbors based on training data obtained from 335 student data, 101 classified social studies class according to predictions, 10 data predicted social studies, but data declared natural science, 2 science prediction data and, 222 data according to natural science predictions, and the accuracy got 96% and the results of observations using the Website using K-NN show the same data results obtained through an accuracy of 96%.
Seleksi Fitur untuk Prediksi Hasil Produksi Agrikultur pada Algoritma K-Nearest Neighbor (KNN)
Authors: Aini Delvi Nur , Oktavianti Bella , Husain Muhammad Jalal , Sabillah Dian Ayu , Rizaldi Said Thaufik , Mustakim Mustakim
Published: October 2022

Agriculture is one of the largest economic driving sectors in Indonesia. The Central Statistics Agency (BPS) in 2021 recorded that 37.02% of Indonesia's population worked in the agricultural sector. The problem faced by farmers today is the decline in yields, both in quantity and quality due to unpredictable weather, making it difficult for farmers to choose the types of plants that are suitable for planting. The application of data mining techniques has problems related to the complexity of weather parameters and natural conditions that support agricultural production, so it is very important to do feature selection, namely to form the most relevant features. This study conducted an experiment to determine the effect of implementing the Principal Component Analysis (PCA) selection feature on the performance of the K-Nearest Neighbor (KNN) algorithm which produces the highest accuracy of 99.64% in this study.
Monitoring dan Kontrol Pemberian Pakan Air Tawar Menggunakan Internet Messaging Secara Real time
Authors: Dapi Yakobus , Ruslianto Ikhwan , Suhardi Suhardi
Published: October 2022

One important aspect that must be considered in freshwater aquaculture is the feeding of the fish. However, in its implementation, fish feeding is generally still done conventionally, farmers must sprinkle feed every day with an irregular amount of feed and time. The next problem is the limitations of humans as fish farmers to carry out several activities at the same time and in separate places. Therefore, a system was created that can monitor and control the feeding of fish in real time using Internet Messaging based on the Internet of Things via Telegram. NodeMCU ESP32 is used as overall system control. The hardware used to open and close the fish feed gap is a Tower Pro Micro Servo 9g SG90 360 Continuous type servo motor. The HC-SR04 Ultrasonic Sensor Device is used to determine the remaining feed in the storage container when the feed execution is complete. The test results showed that fish feeding was successfully carried out with the average weight of automatic feeding scheduled every 07.01 WIB and 16.01 WIB was 4 grams, and 6.17 grams for manual feeding. Detection of residual fish feed was also successfully carried out with an average error value of 27.74%. Then, the average response time during execution of opening the feed gap is 3.36 seconds and 3.46 seconds to close the feed gap.
Implementasi Logika Fuzzy Untuk Pendukung Keputusan Sistem Penyiraman Otomatis Tanaman Anthurium
Authors: Saragi Dina Meliana , Hamami Faqih , Mulyana Tatang
Published: October 2022

Anthurium is a class of ornamental plants that are admired by many lovers of ornamental plants, this plant is cultivated on a wide scale in the floriculture industry. There are factors that support the current high price of anthurium plants, first, a unique species with a ratio of 10% of anthurium seeds that grow exactly the same as the parent. In addition, anthurium growth is very slow and difficult to care for. Other factors must be considered in the cultivation of anthurium plants, namely air temperature, humidity, sunlight, acidity (pH) and water requirements. This anthurium plant is a plant that is sensitive to water so it requires supervision of regular watering so that the plant does not die. Farmers need advanced expert knowledge in making different decisions related to agriculture, especially in dosing and timing of crop watering. Therefore, in this study, researchers designed fuzzy logic according to the needs of anthurium plants with a rule base that can change IoT sensor data in the form of DHT11 sensors and Soil Moisture Sensors FC-28 into the output of a decision on the duration of plant watering. In this stage, the process of fuzzification, inference and defuzzification. The results obtained during this research are comparative testing of 15 values from the output devices that are taken at random approximately closer to the values from the simulation with MATLAB with a total difference of 8.61% due to the difference in calculations between IoT devices and simulations with MATLAB, but this can still be categorized accurately because the output results of the MATLAB tool and simulation are still within the range of membership function values.