JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Artikel yang dimuat melalui proses Blind Review oleh Jurnal JOSH, dengan mempertimbangkan antara lain: terpenuhinya persyaratan baku publikasi jurnal, metodologi riset yang digunakan, dan signifikansi kontribusi hasil riset terhadap pengembangan keilmuan bidang teknologi dan informasi. Fokus Journal of Information System Research (JOSH)
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<![CDATA[Decission Tree Technique Dalam Menentukan Penjurusan Siswa Menengah Kejuruan ]]>
<![CDATA[Ika Purnama Sari]]>;
<![CDATA[Rika Harman]]>
<![CDATA[ Journal of Information System Research (JOSH) Vol 1 No 4 (2020): JULI 2020 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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<![CDATA[Many problems are found as the selection of majors that are not in accordance with the abilities, personalities, interests and competencies that can be accounted for in learning. Data mining methodology will be applied to determine the majors in the field of studio that will be taken by students, so students are not wrong in choosing majors that will be taken while studying at the Vocational High School (SMK). C4.5 algorithm is used to determine the majors to be taken by students according to their own backgrounds, interests and abilities. Major selection parameters are color blindness, health test and interview. The test and evaluation results show that the Decision Tree C4.5 Algorithm is accurately applied to the suitability of student majors in Vocational High Schools (SMK)]]>
<![CDATA[Implementasi Data Mining Untuk Market Basket Analysis Menggunakan Asosiation Rules Pada Minimarket 212 Mart Batam ]]>
<![CDATA[Nur Rizky Setia Saragi Rumahorbo]]>;
<![CDATA[Sasa Ani Arnomo]]>
<![CDATA[ Journal of Information System Research (JOSH) Vol 1 No 4 (2020): JULI 2020 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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<![CDATA[Data mining is a method of searching for previously unknown information from a large database. The important information found to be valuable and beneficial for the making of a decision. The information gained should be precise and accurate because it was highly influential in decision making as well as the outcome of the decision, as was the information required by the Minimarket 212 Mart Taman Carina Batam. The minimarket is located close to the residents' housing and the school. Minimarket 212 Mart requires an analysis to find out consumer purchasing habits that would later be useful for organizing store layouts, make inventory of product efisien in order for sales transactions to run smoothly also increase sales results in minimarkets. Market basket analys methods can be used to analyze the interrelationship of product that consumers buy at the same time to find out the consumer's purchasing habits. The study successfully found the combination of interrelated products that had the highest support value and confidence value on the combination of Snack, Baverage, Breakfast Food which were to have a 26,7% support value and 100% confidence]]>
<![CDATA[Sistem Pendukung Keputusan Pemilihan Marketing Officer Terbaik dengan Metode Weighted Aggregated Sum Product Assesment (WASPAS) (Studi Kasus: Bank BRI Unit Simpang Marendal) ]]>
<![CDATA[Dewi Anggraini]]>
<![CDATA[ Journal of Information System Research (JOSH) Vol 2 No 3 (2021): April 2021 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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<![CDATA[PT. Bank Rakyat Indonesia (BRI) is one of the growing BUMN banks. Since its establishment BRI has played a role in advancing the nation and the State through its attention towards the development of small businesses, while continuing to run a modern banking business and be ready to compete. BRI's vision is "To become a Commercial Bank that always puts customer satisfaction first". While its mission includes: conducting the best banking activities by prioritizing services to micro, small and medium businesses to support the improvement of the community's economy, providing excellent service to customers through a wide spread network and supported by professional human resources by implementing good corporate practices governance.]]>
<![CDATA[Penerapan Metode Neighborhood-Averaging Filters (Digital Screen) Dalam Peningkatan Kualitas Pada Citra Dirgantara ]]>
<![CDATA[Ernida Ernida]]>
<![CDATA[ Journal of Information System Research (JOSH) Vol 2 No 1 (2020): Oktober 2020 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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<![CDATA[In this study discusses the noise that exists in aerospace imagery. With this noise, the aerospace image is less than optimal and makes it difficult in the process of retrieving information on the image affected by noise. To eliminate noise can be done using the Neighborhood-Averanging Filters method. Neighborhood-Averanging Filters is one type of lowpass filters that works by replacing the value of a pixel in the image with the mean value (average). By doing a Neighboorhood-Averaging process it is expected to eliminate noise. The benefits of writing this research is to increase knowledge about improving the quality of aerospace imagery. The author can find out whether the Neighborhood Averaging Filters method can improve the quality of aerospace cirta. Simplify solving the problem of improving aerospace image quality so that it gets better results.]]>
<![CDATA[Implementasi Algoritma Camellia Pada Penyandian Citra USG ]]>
<![CDATA[Fara Dibba Mutiara Maharani]]>
<![CDATA[ Journal of Information System Research (JOSH) Vol 2 No 1 (2020): Oktober 2020 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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<![CDATA[Digital images are very vulnerable to data capture or theft by irresponsible parties. For the sake of maintaining the security of USG images can be done by using cryptographic techniques. Cryptographic techniques can encode ultrasound images by encrypting them in the form of codes that are not understood. Camellia Algorithm is one algorithm that can be relied upon to realize cryptographic techniques. This symmetry algorithm will produce a higher level of security to the USG image because it can encode it into a cipher with a process that is complex enough so that it will be difficult for cryptanalysts to access the image. This research will use the 128-bit Camellia Algorithm for the encryption and decryption process, so the process needs to go through several long stages in order to produce the final cipher. This algorithm requires 18 rounds where every six rounds must enter Function F and FL-1 Functions and also requires as many as 26 subkeys namely kw, k and kl. This study describes the process of securing the USG image by encoding it based on the Camellia algorithm, in the form of a password that is difficult for others to understand and understand. This is done as an effort to minimize acts of misuse of the USG image.]]>
<![CDATA[Sistem Pendukung Keputusan Dalam Pemilihan Santri Teladan Menerapkan Metode ELECTRE ]]>
<![CDATA[Gusnia Ariyanti Lestari]]>
<![CDATA[ Journal of Information System Research (JOSH) Vol 2 No 2 (2021): Januari 2021 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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<![CDATA[Islamic boarding schools are Islamic educational institutions. The Islamic boarding school education system is one where students will be selected and entitled to be model students and given awards every year. The educational strategy adopted so far is general in nature, providing standard or average treatment to all students, so they do not pay attention to the differences between students in their skills, interests and talents. With this kind of strategy, excellence will emerge randomly and is highly dependent on students' motivation to learn. Exemplary students must meet several criteria, namely memorization of the book, discipline, morals, and achievement. Therefore, it needs to be developed to the superior that is owned by each student so that it can be converted into a superior achievement in order to motivate students to continue to excel, AL-HUSNA Islamic boarding school conducts activities to develop the potential of students through the selection of exemplary students. A decision support system (SPK) to facilitate the selection of exemplary students and utilize Eliminition and Choice Translation Reality (ELECTRE) as a method of decision. The ELECTRE (Eliminition and Choice Translation Reality) method can be used in assessing and ranking based on strengths and weaknesses through pairwise comparisons on the same criteria]]>
<![CDATA[Implementasi Algoritma Camellia Dalam Penyandian Pesan SMS Pada Telepon Seluler ]]>
<![CDATA[Halimah Ani]]>;
<![CDATA[Surya Darma Nasution]]>
<![CDATA[ Journal of Information System Research (JOSH) Vol 2 No 1 (2020): Oktober 2020 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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<![CDATA[SMS technology also does not guarantee the security and confidentiality of messages sent. The distribution of message content is very vulnerable to interference or theft by irresponsible parties, because the message content that is plaintext (text-light) can be read by anyone, to reduce the risk caused by one way of overcoming it is to implement a cryptographic algorithm on the message sent. The cryptographic algorithm used is the Camellia cryptographic algorithm with a 128-bit key length. Camellia is a block cipher designed by experts in research and development in cryptographic techniques. With the encrypted message sent then someone who managed to steal information about the SMS message sent, then someone who succeeded in stealing information from the text message sent would find it difficult to know the contents of the message. Designed and built an application program using Android with an Android system of at least version 2.2 to facilitate users in encoding SMS messages.]]>
<![CDATA[Sistem Pakar Midiagnosa Penyakit Pelagra Menerapkan Metode Hybrid Case Based ]]>
<![CDATA[Hapipuddin Hapipuddin]]>;
<![CDATA[Muhammad Syahrizal]]>
<![CDATA[ Journal of Information System Research (JOSH) Vol 2 No 1 (2020): Oktober 2020 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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<![CDATA[Expert system as a system that adopts human flapping into computers has a strategic position as a system that can help solve problems in the medical field. Difficult to determine the type of disease because of the complexity of the various symptoms that accompany it, can be helped by representing the symptoms of a disease into a computer programming language. In this study, a method was developed to diagnose pelagra based on the types of symptoms that accompany it. This expert system development environment uses the MySQL database.]]>
<![CDATA[Kombinasi Algoritma Huffman dan Algoritma ROT 13 Dalam Pengamanan File Docx ]]>
<![CDATA[Hendrik Hendrik]]>
<![CDATA[ Journal of Information System Research (JOSH) Vol 2 No 1 (2020): Oktober 2020 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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<![CDATA[Behind this is often the theft of very important files, where they look for the files they need that they want. With no security for a title or file name, they will be very easy to find the file title they want. With the security of a file that is very important where a lot of people who are not responsible for controlling or owning the file. So this will cause a loss for the file owner if the file is known by others. The huffman algorithm is an algorithm that can be used to compress files, so that the resulting file size becomes smaller than the actual size. Huffman algorithm is a lossless compression algorithm. lossless compression algorithm is a compression technique that does not change an information from the original file. ROT13 (rotate 13) is a encryption substitution cipher that is commonly used in UNIX operating systems. In the ROT13 encryption system a letter is replaced by a letter that is located in the top 13 positions of it. With the existence of an application that implements a combination of the huffman algorithm and the ROT 13 algorithm used in the security of a docx file, making it difficult for file thieves to find the desired file]]>
<![CDATA[Peningkatan Nilai Akurasi Prediksi Algortima Backpropogation (Kasus: Jumlah Pengunjung Tamu pada Hotel berbintang di Sumatera Utara) ]]>
<![CDATA[Devi Syahfitri]]>;
<![CDATA[Agus Perdana Windarto]]>;
<![CDATA[M Fauzan]]>;
<![CDATA[S Solikhun]]>
<![CDATA[ Journal of Information System Research (JOSH) Vol 2 No 1 (2020): Oktober 2020 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi (FKPT) ]]>
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<![CDATA[The research objective is to analyze and test whether the number of foreign tourist arrivals in Indonesia can be predicted using artificial intelligence techniques. The research data were obtained from the Indonesian Central Bureau of Statistics for the tourism category. The data used in the study is data on the number of tourist visits from 2003 - 2018. The artificial intelligence technique used in this study is the artificial neural network technique using the backpropagation method. The study will explore backpropagation parameters such as learning rate and network architecture where the results of the study are expected to help provide information for decision-makers to attract more foreign tourists to Indonesia because this has an impact on improving the economy in Indonesia. The research results show that from 4 architectural models tested (7-2-1, 7-5-1, 7-10-1 and 7-2-10-1) with a learning rate of 0.1; 0.01; 0.001; 0.2; 0.02; 0.002; 0.3; 0.03; and 0.003 where the 7-10-1 model with learning rate = 0.02 is obtained which is the best prediction model with the Root Mean Squared Error is 0.094 and the relative error is 4.49% +/- 10.21%. The accuracy of the truth obtained is 96%.]]>
