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Building of Informatics, Technology and Science

bits
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Published by Forum Kerjasama Pendidikan TInggi

ISSN : 26848910 EISSN : 26853310 DOI : -

Core Subject : Science,

Computer Science & IT

Building of Informatics, Technology and Science (BITS) is an open access media in publishing scientific articles that contain the results of research in information technology and computers. Paper that enters this journal will be checked for plagiarism and peer-rewiew first to maintain its quality. This journal is managed by Forum Kerjasama Pendidikan Tinggi (FKPT) published 2 times a year in Juni and Desember. The existence of this journal is expected to develop research and make a real contribution in improving research resources in the field of information technology and computers.

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Articles 45 Documents

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Search results for , issue "Vol 3 No 3 (2021): Desember 2021" : 45 Documents clear

Aplikasi Android Kumpulan Lagu-Lagu Perjuangan Nahdlatul Wathan Yuliadi Yuliadi; Mohammad Taufan Asri Zaen; Rodianto Rodianto; Hifni Hifni; Zulkhaeri Zulkhaeri
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Nahdlatul Wathan is a religious community organization the religious community located on the island of Lombok, West Nusa Tenggara, founded by TGKH. Zaenuddin Abdul Majid. In the period of organizational development, TGKH. Zaenuddin Abdul Majid made a lot of songs with the theme of the NW struggle. Currently, NW's struggle songs have been widely circulated to the general public and the nahdliyin community in various different collections which actually help in taking turns listening. With this, it takes a smartphone device media with an android operating system that is used to listen to all collections of NW struggle songs without space and time limits. With the Android application, these NW struggle songs can make it easier for NW congregations in particular and the public in general to listen to NW struggle songs. In developing the android application, NW's songs of struggle use the waterfall process model whose stages are adopted, namely systems engineering, needs analysis, system design and implementation. System design using UML (Unified Modeling Language) and programming using android studio

Implementasi SCRUM Pada Pengenalan Aksara Lampung Menggunakan Augmented Reality Ika Arfiani; Murien Nugraheni; Danang Sulistyono
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Lampung Province has 20 Lampung characters and 12 Lampung scripts as characters that need to be preserved. Lampung script learning is currently still using conventional methods so that many students begin to ignore this subject because it feels less interesting and boring. This study aims to build an application that can help users introduce Lampung script in the world of education on smartphones by applying Augmented Reality technology. By applying Marker Based Tracking which is one of the methods used in the development of Augmented Reality technology. This method works by recognizing and identifying patterns on markers to bring up virtual objects into the real environment. The system development uses the waterfall method with the stages of problem identification, initial planning, design and design, implementation, testing, and evaluation. This results in an Augmented Reality application to introduce Lampung script which is equipped with features showing 3D Lampung script, pronunciation of each Lampung script object, script gallery, guide for each menu and 20 Lampung script markers. Which type of smartphone camera can affect the application's ability to see objects at a certain angle to the marker, but is still quite safe at angles between 500 to 1800.

Analisis Topik Modelling Terhadap Penggunaan Sosial Media Twitter oleh Pejabat Negara Patmawati Patmawati; Muhammad Yusuf
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Social media is experiencing rapid development until now. Social media makes it easy for humans to be able to connect with one another. One of the social media that is widely used is Twitter. The ease of use makes social media widely used among the public, including state officials. State officials use Twitter to convey policies, opinions and interact with the public. By conducting a topic analysis of tweets shared by state officials, we can find out the relevant topics discussed by state officials. We can find out the focus of attention of state officials through topic modeling. Latent Dirichlet Allocation (LDA) is a topic modeling method that finds certain patterns in documents and produces several different topics. Tweets from the @jokowi account are collected using a scraping technique. The results of the tweet collection are then preprocessed for further analysis using the Latent Dirichlet Allocation (LDA) method. The results of the analysis model are evaluated using perplexity calculations and coherence scores. The evaluation of the model resulted in a perplexity value of -8.069 and a coherence score of 0.375 for a total of 7. This shows that the model used is good for analyzing and finding topics in tweets of state officials.

Analisis Fase Preliminary Strategis Sistem Informasi dalam Pengembangan Smart Campus Cholid Fauzi; Beri Noviansyah
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Smart Campus refers to the integration of the unity of campus life that is supported by technology. The application of Smart Campus is a development from conventional management campus to campus that applies technology, one of the technologies is an information system. For an information system to be successful and optimal, an appropriate strategic information system (SISP) planning is needed in accordance with the business processes of the institution and is used as a blueprint as part of the IT Masterplan for the implementation of the Smart Campus. Smart Campus Strategic Planning implemented by utilizing the Ward and Peppard framework, with identification of information system needs based on the Critical Success Factor (CSF), Value Chain, Gap Analysis and McFarlan Portfolio. The results of this study can be used as a consideration for decision makers to determine campus policies in implementing various services provided by information systems as part of the Smart Campus, which can be described as a campus that intelligently interacts with its academics

Expert System Logika Fuzzy Penentuan Proses Penanaman Bibit Unggul Kayu Manis dengan Metode Mamdani Silvilestari Silvilestari
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Cinnamon is a plant that many people are interested in because cinnamon has a high selling value. Cinnamon has two advantages when it grows big, namely the bark and the wood can be marketed at a high price. Currently, many people are friends with cinnamon to support future needs. The problem of this research is the lack of information and understanding of the community in choosing cinnamon that is suitable for planting so that it thrives and has good quality. The purpose of this research is to help the community in choosing good seeds for planting. The settlement of this case uses the expert method of Mamdani, the process of solving the Mamdani method uses the OR operator. The working process of the Mamdani method is fuzification, inference engine, application of implication functions and the last is defuzification. With the decision-making system in selecting superior cinnamon seeds, it is hoped that it can help and facilitate the community in making decisions in choosing superior seeds with more accurate results. The results of this study are in the form of a prototype with the input process in the form of planting land, cinnamon seeds, the process of planting shoots, and maintaining cinnamon as output in the form of decisions, namely Very Satisfactory, Satisfactory and Unsatisfactory

Game Edukasi Pembelajaran Menghitung Susunan Angka Pada Puzzle-8 Menggunakan Metode Steepest Ascent Hill Climbing Padma Mike Putri M
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Learning games are games that are very much in the interest of preschool children today in carrying out activities because basically, this game playing uses the term play while learning, this game is very useful in brain development for preschool children to increase thinking data in sharpening the brain, this game consists of 8 sequences of numbers that are not sequentially arranged into consecutive numbers to become Puzzled -8 guided by the concept of the rules in the algorithm. The problem, in this case, is the children's lack of interest in learning to count and compile numbers because it is difficult to understand. With the learning game, the aim of this research is to help early childhood children in calculating the sequence of numbers that are usually difficult to understand. This game can be used as a game arena but contains elements of learning and compiling puzzle numbers 8. The method used uses the Ascent Hill Climbing Algorithm which is the process of The work of this algorithm that can produce a regular array of numbers by using the concept of shifting the value of numbers according to the existing rules in the Steepest Ascent Hill Climbing Method algorithm.

Penerapan Ensemble Stacking untuk Peramalan Laba Bersih Bank Syariah Indonesia (BSI) Nurfia Oktaviani Syamsiah; Indah Purwandani
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Univariate data prediction has been done by many researchers with various methods used. The research was conducted using one method, several methods to combine several methods. This research uses several methods and simultaneously combines several methods. The method is by applying the Ensemble, namely Stacking. Meanwhile, the univariate data used is the Indonesian Sharia Bank Monthly Profit Data. This study aims to prove the accuracy of ensemble stacking prediction results by applying the SVM, Random Forest, Neural Network, and General Linear Model algorithms. Based on the results of the study, it was found that by applying Stacking the most accurate results were obtained for predicting univariate time series data (Indonesian Islamic Bank profits), where the RMSE generated was 0.534

Penerapan Metode Pengembangan Sistem Extreme Programing (XP) Pada Aplikasi Presensi Karyawan dengan QR Code Qubaila Ega Fazrin; Tuti Lisnawati; Sri Nurhayati; Juli Budi Satya; Dedy Alamsyah
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Attendance is the process of recording and managing attendance data that is carried out daily during working hours at each company. Errors in recording employee attendance greatly affect employee earnings. So, the validity of the recording is needed. The attendance recording system manually is error-prone and its recapitulation takes a long time. To overcome this, it is necessary to develop an attendance system that can be done quickly and produce valid reports regarding the time of entry and exit. In this study, a presence application will be developed using QR Code scanning by applying the Extreme Programming (XP) method. The extreme programming (XP) method offers stages in a relatively short time. Based on black box testing, the generated QR Code presence application is in accordance with user needs with a functionality test value of 100%

Identifikasi Citra Tanaman Obat Jenis Rimpang dengan Euclidean Distance Berdasarkan Ciri Bentuk dan Tekstur Desi Nurnaningsih; Dedy Alamsyah; Arief Herdiansah; Alfry Aristo Jansen Sinlae
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

In the midst of the Covid-19 pandemic, increasing the body's immunity is very important. Some experts suggest consuming medicinal plants or herbs to boost immunity. In addition to being used as a cooking spice, this rhizome type plant turns out to have properties and benefits for health, especially to increase immunity. However, many people do not know and it is difficult to distinguish the type of rhizome plant. This type of rhizome plant can be identified based on the characteristics seen from the shape and texture. However, most people judge the type of rhizome has a shape that is difficult to distinguish. This study aims to determine the type of medicinal plant rhizome with Euclidean distance and extraction of shape and texture. Extraction of shape features using metric and eccentricity parameters. This parameter is considered to be able to recognize shape objects and can distinguish them from other objects. Meanwhile, texture feature extraction uses Gray Level Co-occurence Matrix (GLCM) with contrast, correlation, energy, and homogeneity parameters. For the identification process, Euclidean distance is used which serves to represent the level of two images that consider the distance value from Euclidean. From the results of the evaluation using a confusion matrix by calculating precision, recall and accuracy, it gets a precision value of 83%, recal 87% and an accuracy of 85%. These results indicate that the Euclidean distance and extraction of shape and texture features can identify the object image of medicinal plants with rhizome types well

Pengaruh HSV Pada Pengolahan Citra Untuk Kematangan Buah Cabai Arifiyanto Hadinegoro; Dicky Andhika Rizaldilhi
Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): Desember 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Image or image recognition has quite complex stages so that the computer is able to recognize what objects to identify, there are several stages used in the image processing process, image extraction data input and image classification, this study will examine the extent to which the algorithm for extraction have an influence on the final classification results. This study uses the image of chili as a test material and the results of the test are the introduction of chili with 4 levels, ripe, half cooked, raw and rotten. This study also uses tools to perform the image recognition process. The image recognition method used in this study is Hue Saturation Value (HSV) Gray Level Co-occurrence Matrix (GLCM) and Learning Vector Quantization (LVQ3) for classification, in the process it will be tested. With 2 image recognition scenarios, the first method uses GLCM and LVQ3, the second scenario uses HSV GLCM and LVQ3. The results of this study are to see how much influence HSV has on the digital image recognition process of chili, the extraction results using GLCM extraction LVQ3 classification is 59.58%, and the results of LVQ3 classification using HSV and GLCM extraction yields 93.58%. In conclusion, the HSV extraction method provides an additional 34% accuracy compared to using only GLCM as the extraction method

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Contact Name
Mesran

Contact Email
mesran.skom.mkom@gmail.com

Phone
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Journal Mail Official
jurnal.bits@gmail.com

Editorial Address
-

Location
Kota medan,

Sumatera utara

INDONESIA