Building of Informatics, Technology and Science
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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889 Documents
<![CDATA[Penerapan Teknik Single Linkage Dalam Klasterisasi Mahasiswa Berdasarkan Indikator Pembidangan Skripsi ]]>
<![CDATA[Silalahi, Eci Marcelina]]>;
<![CDATA[Bu'ulolo, Efori]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 3 No 1 (2021): June 2021 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v3i1.304
<![CDATA[Pelita Nusantara Medan STMIK Computer Informatics study program provides several fields of science that students can choose in completing their final thesis in the form of a thesis. During this time in its implementation, the determination of the field of this thesis was chosen by the student who will submit the thesis title as one of the requirements to obtain a bachelor's degree at STMIK Pelita Nusantara Medan without any direction from the campus either from the academic department or the head of the study program. Therefore, not a few students who ultimately choose a field of science that is not in accordance with their abilities. Based on the existing problems regarding the development of this thesis, a student clustering system was made based on the indicators of thesis development by applying one of the data mining methods, namely clustering, where the technique used was the Single Linkage Technique. Single Linkage Technique is a way to group objects or individuals based on criteria similarity size or closest distance between objects (minimum distances). Thus, the results of clustering (clustering) that are designed can help the academic STMIK Pelita Nusantara Medan, especially the Chairperson of the Computer Informatics Study Program in directing students in the determination of the field of thesis so that students choose the field of thesis in accordance with their abilities]]>
<![CDATA[Sistem Pendukung Keputusan Pemilihan Calon Ketua Program Studi Menerapkan Metode VIKOR ]]>
<![CDATA[Feby Kristin Pardosi]]>;
<![CDATA[Nelly Astuti Hasibuan]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 3 No 2 (2021): September 2021 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v3i2.305
<![CDATA[The head of the study program is one of the important people in the agency who is responsible for managing and managing each channel from high school or university. The head of study program also has tasks such as arranging plans and activities, evaluating the implementation of educational activities and so forth. Before the appointment of the head of the Study Program, there will certainly be a nomination for the head of the Study Program who has at least more than 3 lecturers and staff who have requirements. The method used in this decision support system is the VIKOR Method (Visekriterijumsko Kompromisno Rangiranje). This method performs an evaluation of alternatives and determines the ideal compromise solution, so that this system can later be useful for high schools or universities in choosing the head of study programs.]]>
<![CDATA[Analisis Kesuksesan Implementasi E-Kinerja di Kota Salatiga Menggunakan Model DeLone-McLean ]]>
<![CDATA[Manora, Elsa]]>;
<![CDATA[Maria, Evi]]>;
<![CDATA[Chernovita, Hanna Prillysca]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 3 No 1 (2021): June 2021 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v3i1.1001
<![CDATA[The Agency for Personnel and Human Resources Development (BKPSDM), Salatiga City, implements e-Kinerja to analyze job requirements, job workloads and units or work units, as a basis for calculating work performance and awarding awards. BKPSDM has never measured the success of using e-Kinerja. The purpose of this research is to evaluate the implementation of e-Kinerja in BKPSDM, Salatiga City using the DeLone-McLean model. E-Kinerja users in BKPSDM, Salatiga City are a sample of this research. The total sample was 66 respondents. The questionnaires were measured using Likert Scale and testing was conducted using the Pearson Product Moment Correlation method. Research obtained empirical evidence that successful implementation of e-Kinerja plays a role in improving performance in BKPSDM. The research findings are also robust in additional testing. The average weight of the measurement item, which is 4.04 and the success rate of e-Kinerja implementation is 80.8 percent. E-kinerja successful in improving job performance in BKPSDM, Salatiga City.]]>
<![CDATA[Pengenalan Tulisan Tangan Angka menggunakan Self Organizing Maps (SOM) ]]>
<![CDATA[Fitriana, Gita Fadila]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 3 No 1 (2021): June 2021 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v3i1.1002
<![CDATA[Handwriting is character pattern recognition. Character pattern recognition is exciting to do research. In character pattern recognition, many types of characters can be recognized by computers and solved by various algorithms. Various kinds of pattern recognition have been successfully applied in multiple fields such as voice recognition, face detection, fingerprint recognition, and handwriting recognition. Handwriting recognition is divided into two types, namely online handwriting recognition and offline handwriting recognition. Online handwriting recognition requires special electronic equipment, and handwriting is captured on a pressure-sensitive tablet. Offline handwriting recognition does not need a particular machine because handwriting data is entered from previously written text such as images scanned by a scanner. Several methods have been developed to recognize handwriting with varying degrees of accuracy. This research uses the feature extraction of United Moment Invariant (UMI) and Self Organizing Maps (SOM). Based on the results of the software experiment for the entire test data set, the primary data yielded an accuracy rate of 88% for 50 images, and the first secondary data paid an accuracy rate of 98.2% for 500 images. However, for the second secondary data experiment with 50 test data, the accuracy rate is 90%. The third secondary data experiment was 500 test data. The accuracy rate was 89%. When viewed from the accuracy value, the primary data has a lower level of accuracy when compared to the two secondary data with different amounts. The story of accuracy resulting from experimenting with varying data sets proves that handwritten characters have a high and inconsistent level of variation. This is caused by the thickness and form of writing that is not consistent in each person and habits that affect the character of one's handwriting. Primary data is data that is taken directly and through a scanner process and still has a lot of noise in the handwritten image of numbers. At the same time, the secondary data has undergone a grey image process so that the handwritten image is clean from noise.]]>
<![CDATA[Penerapan Algoritma K-Means dan K-Medoid untuk Pengelompokkan Data Pasien Covid-19 ]]>
<![CDATA[Gurning, Umairah Rizkya]]>;
<![CDATA[Mustakim, Mustakim]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 3 No 1 (2021): June 2021 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v3i1.1003
<![CDATA[At the end of 2019 in Wuhan, China, a new virus was discovered, that is Corona Virus Disease 2019. This virus causes serious health problems and has been declared as pandemic since March 11, 2020. It has caused death and claimed thousands of lives. This virus spreads very quickly and in various ways such as direct contact with patients, travelers, owners of congenital diseases and many other transmissions. To suppress the spread of this virus, the government has carried out various ways such as social distancing and screening or impromptu swabs in crowded centers. Due to the many types of transmission from this virus, this research was conducted to classify Covid-19 cases in Dumai City. It is hoped that the results of this study can be used as an illustration of the grouping of Covid-19 patient data by applying K-Means and K-Medoid as a grouping algorithm based on the type of transmission, age, gender, health services and district. Based on this research, the K-Means algorithm is more optimal than K-Medoid in classifying Covid-19 patient data, especially in Dumai City. It is proven that the best DBI K-Means value is 0.139 with k = 4]]>
<![CDATA[Penerapan Algoritma Support Vector Regression untuk Prediksi Jumlah Pasien Covid-19 di Provinsi Riau ]]>
<![CDATA[Adyah Widiarni]]>;
<![CDATA[Mustakim Mustakim]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 3 No 2 (2021): September 2021 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v3i2.1004
<![CDATA[In 2019, at the end of December, there was an outbreak of a disease with an unknown cause in Wuhan, Hubei Province, China. The World Health Organization has named the outbreak of the disease as coronavirus caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) or Covid-19. Covid-19 is a disease outbreak that has spread in various regions of Indonesia, such as in Riau, at PT. Nusantara V Plantation (PTPN V). So we need a way to increase awareness and vigilance, namely by presenting information using Data Mining in predicting the number of cases with thealgorithm Support Vector Regression (SVR). The prediction process is carried out using SVR by specifying the SVR and Kernel Linear parameters. The SVR algorithm can predict the number of Covid-19 patients in the next 30 days so that the Correlation Coefficienti (R) level is 85% and the Mean Square Error (MSE) value is 0.196. From the results of the experiment, there was a decrease in cases of Covid-19 patients at PT. Perkebunan Nusantara V in the next 30 days, with the acquisition of the best minimum sensitivity value of 0.09]]>
<![CDATA[Penerapan K-Means dan Fuzzy C-Means untuk Pengelompokan Data Kasus Covid-19 di Kabupaten Indragiri Hilir ]]>
<![CDATA[Sania Fitri Octavia]]>;
<![CDATA[Mustakim Mustakim]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 3 No 2 (2021): September 2021 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v3i2.1005
<![CDATA[In the beginning of 2020 world was shocked because new virus spreaded, that is Coronavirus Disease 2019 (Covid-19). This virus spread quickly in almost country, including Indonesia. Covid-19 virus deployment started in various regions in Indonesia stay increasing everyday. this research has been done the region clustering that infected Covid-19 case in Indragiri Hilir district to inform to central government about Covid-19 handling. To do Clustering in this research used K-Means and Fuzzy C-Means Algorithm. After done some of test, it's obtained the ratio which was tested with Silhouette Index and Partition Coefficient, SI validity value of K-Means is 0,950 while PCI validity value of Fuzzy C-Means is 0,960. The results have been obtained shown that Fuzzy C-Means Method is the best Method to do Clustering Covid-19 data in Indragiri Hilir district Because the validity value is closed to 1 which is located in K=3.]]>
<![CDATA[Implementasi Metode Linear Discriminant Analysis (LDA) Pada Klasifikasi Tingkat Kematangan Buah Nanas ]]>
<![CDATA[Destriana, Rachmat]]>;
<![CDATA[Nurnaningsih, Desi]]>;
<![CDATA[Alamsyah, Dedy]]>;
<![CDATA[Sinlae, Alfry Aristo Jansen]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 3 No 1 (2021): June 2021 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v3i1.1007
<![CDATA[Pineapple is a fruit commodity that is Indonesia's flagship. This is because pineapple is a fruit that has the highest export volume in Indonesia. To obtain pineapples with perfect ripeness, generally manually selected, this becomes inefficient if large numbers of pineapples are selected. So, in this study, an image processing system will be developed that can classify pineapple ripeness based on its image. In this study, the color feature extraction used is feature extraction based on hue and saturation values. Color feature extraction with hue and saturation is used to obtain various information from the colors in the image so as to facilitate the identification process. Furthermore, Linear Discriminator Analysis will obtain optimal projections to be able to enter spaces with smaller dimensions by performing pattern recognition that can be separated so that they can be grouped based on boundary lines obtained from linear equations. Based on the results of the accuracy test, the accuracy rate reaches 83%, it is in the good category]]>
<![CDATA[Rekayasa Prototype Kran Otomatis Berbasis Arduino Uno ]]>
<![CDATA[Mohammad Taufan Asri Zaen]]>;
<![CDATA[Yuliadi Yuliadi]]>;
<![CDATA[Khairunnazri Khairunnazri]]>;
<![CDATA[Chaerun Hadiyan Syah]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 3 No 2 (2021): September 2021 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v3i2.1008
<![CDATA[The need for cleanliness and availability of water for the community is also getting higher. Currently, people use conventional faucets which can cause waste because the water faucets are not tightly closed or must be closed directly. Technological advancements need to be innovated to help the community in the movement to save clean water, one of which is the Arduino microcontroller. Based on these problems, the author made a prototype for making automatic water faucets equipped with motion detection sensors, ultrasonic sensors HC-SR04, servo motors as a driver to open the closing valve so that the faucet can release water and a relay to disconnect or connect the circuit that works automatically. With automatic faucets can make it easier for people to control the use of water. Arduino uno tool as controller and data processor.]]>
<![CDATA[Aplikasi Android Kumpulan Lagu-Lagu Perjuangan Nahdlatul Wathan ]]>
<![CDATA[Yuliadi, Yuliadi]]>;
<![CDATA[Zaen, Mohammad Taufan Asri]]>;
<![CDATA[Rodianto, Rodianto]]>;
<![CDATA[Hifni, Hifni]]>;
<![CDATA[Zulkhaeri, Zulkhaeri]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 3 No 3 (2021): December 2021 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v3i3.1009
<![CDATA[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]]>
