ILKOM Jurnal Ilmiah
ILKOM Jurnal Ilmiah is an Indonesian scientific journal published by the Department of Information Technology, Faculty of Computer Science, Universitas Muslim Indonesia. ILKOM Jurnal Ilmiah covers all aspects of the latest outstanding research and developments in the field of Computer science, including Artificial intelligence, Computer architecture and engineering, Computer performance analysis, Computer graphics and visualization, Computer security and cryptography, Computational science, Computer networks, Concurrent, parallel and distributed systems, Databases, Human-computer interaction, Embedded system, and Software engineering.
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<![CDATA[AKADEMIK DATA MINING (ADM) K-MEANS DAN K-MEANS K-NN UNTUK MENGELOMPOKAN KELAS MATA KULIAH KOSENTRASI MAHASISWA SEMESTER AKHIR ]]>
<![CDATA[Rustam, Suhardi]]>;
<![CDATA[Annur, Haditsah]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 3 (2019) ]]>
Publisher : <![CDATA[Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i3.487.260-268
<![CDATA[University as an educational institution plays an important role in producing graduates. In addition, institutions such as universitas ichsan Gorontalo save the data set. These Data include about student academic data.In the academic field, every semester, increasing the amount of data recorded with data from academic activities. It is like there is a Tsunami of data which indicate that these data are very abundant but do not give any knowledge that is not beneficial to the university, especially the faculty except the knowledge administrative. Universitas ichsan Gorontalo with the number of students reached 9000 people which is accompanied by the number of graduates is still less than ideal any period graduate, it is necessary to apply the pattern determination grade concentration courses effective for the achievement ability of students, academic Data will be used namely the data of the students 2016-2017 who has taken class subjects concentration. The application of K-Means algorithm and K-Means KNN where K=2 result in a cluster for grouping of a Class Focus on the students semester end and each cluster has a predictive value for the second klustering such, the Value of the resulting Accuracy of Algorithms KNN, namely the AUC (Area Under The Curve) =1, the Value of CA=1, the value of F1=1, the value of the precision=1 and recall=1, and the value of accuracy as the best value.]]>
<![CDATA[PENGAMANAN FILE DOKUMEN MENGGUNAKAN KOMBINASI METODE SUBTITUSI DAN VIGENERE CIPHER ]]>
<![CDATA[Budi, Sarwo]]>;
<![CDATA[Purba, Arif Budimansyah]]>;
<![CDATA[Mulyana, Jajang]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 3 (2019) ]]>
Publisher : <![CDATA[Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i3.477.222-230
<![CDATA[Cryptography is a method of securing data using algorithms that have been developed continuously until now. Cryptography offers security in the form of data confidentiality, for example the confidentiality of data generated through encryption algorithms that scrambles personal information so that it cannot be read or solved by unauthorized parties. One of them is the substitution algorithm and the vigenere cipher is a classic method used for data security. The combination of these algorithm methods becomes a solution for double security as file protection. By using a cryptographic application for data security, the combination of the two method algorithms produces a data file that provides more security to the text file so that it is not easy and difficult to solve.]]>
<![CDATA[ANALISIS PERFORMA METODE K-NEAREST NEIGHBOR UNTUK IDENTIFIKASI JENIS KACA ]]>
<![CDATA[Mus Mulyadi Baharuddin]]>;
<![CDATA[Huzain Azis]]>;
<![CDATA[Tasrif Hasanuddin]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 3 (2019) ]]>
Publisher : <![CDATA[Prodi Teknik Informatika FIK Universitas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i3.489.269-274
<![CDATA[Nowadays, the industry makes various types of goods that have glass-based materials, float car window panes, non-float building windows, lamps, jars, and tableware. These glasses have the same production material, the difference between one and the other is the composition of the production material. K-Nearest Neighbor (KNN) algorithm which is one of the classification methods in data mining and also a supervised learning algorithm in machine learning is a method for classifying objects based on learning data that is the closest distance to the object.. This study discusses the performance measurement (accuracy, precision, recall and f-measure) of the KNN method with a variety of values on 1000 glass type production data objects obtained from the central UCI Machine Learning Repository dataset. The conclusion of this research is the results of the value of K = 3 to K = 9, the best performance values obtained at K = 3, where the level of accuracy reaches 64%, 63% precision, 71% recall, and F-Measure of 67%.]]>
<![CDATA[SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PROGRAM STUDI DENGAN METODE SAW DAN AHP ]]>
<![CDATA[Erikson Marbun]]>;
<![CDATA[Seng Hansun]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 3 (2019) ]]>
Publisher : <![CDATA[Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i3.432.175-183
<![CDATA[Admission to Multimedia Nusantara University (UMN) is divided into academic paths, scholarships and regular tests. The benchmarks used to accept prospective students through the academic track still see five academic grades with a minimum value of 70. There are cases where the minimum grade decreases depending on the KKM (Minimum Completeness Criteria) from the school of the prospective student. The process of changing majors at UMN can be done by going to the Student Support division and undergoing a series of tests depending on the chosen study program. The Student Support Faculty of Engineering and Informatics (FTI) does not have enough data to carry out specific tests. Based on these two problems, a decision support system ‘FTI Recommendation’ was built using the AHP and SAW methods. AHP method is the basis for evaluating prospective students, while the SAW method is for alternative ranking. and the expert reference value as a substitute for the old benchmark, which is 70 or in accordance with KKM from the prospective student's school. The decision support system built produces a satisfaction level of 77.22%.]]>
<![CDATA[PEMODELAN ARSITEKTUR ENTERPRISE SISTEM INFORMASI CUSTOMER RELATIONSHIP MANAGEMENT MENGGUNAKAN ENTERPRISE UNIFIED PROCESS ]]>
<![CDATA[Ahmad Mubarok]]>;
<![CDATA[Djaja Sukma Tjahjadi]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 3 (2019) ]]>
Publisher : <![CDATA[Prodi Teknik Informatika FIK Universitas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i3.478.231-240
<![CDATA[The information technology has an important role in a company or agency to run its business process. It can help to optimize the business continuity as in the customer service process. In this case, the company needs an information system to manage the relationship between the customer and company applied into the concept of Customer Relationship Management (CRM). The initial stage in the development of information systems is to design architecture including: technology architecture, data architecture, and business process architecture. The Unified Process (UP) is a framework of the instantiated software process, both the Rational Unified Process (RUP) and Enterprise Unified Process (EUP). The information system architecture of CRM uses the Enterprise UP method. It is an enterprise architecture design that can be used as a reference to build a CRM-based system that can increase core value in service to customers. The results of this study are recommendations for information systems architecture models and methods used to achieve the strategic goals of the organization, especially in terms of customer service.]]>
<![CDATA[PERENCANAAN ANGGARAN PINJAMAN DENGAN PREDIKSI REGRESI LINIER SEDERHANA DAN OPTIMASI MENGGUNAKAN METODE FUZZY TSUKAMOTO ]]>
<![CDATA[Undang Mustofa]]>;
<![CDATA[Yessy Yanitasari]]>;
<![CDATA[Dedih Dedih]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 3 (2019) ]]>
Publisher : <![CDATA[Prodi Teknik Informatika FIK Universitas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i3.470.206-213
<![CDATA[The business world often faces changing conditions in its business activities. The right work plan is needed so that the business world can develop, one of which is budget planning. In planning the loan budget in the Cooperative refers to the limit on the number of submissions, there is no nominal loan budget plan so that the cooperative's cash condition is unstable and can affect the development of the cooperative. Then we need a system that can predict the loan budget needed. The method used in this reserch is simple Linear Regression to predict budgets and Tsukamoto Fuzzy Methods for budget optimization. Predicted the loan budget for April 2019 with a total capital of Rp. 500,000,000 using simple linear regression predictions of Rp. 441,690,000, after optimization using the Tsukamoto Fuzzy Method is Rp. 396,960,000 more savings Rp. 44,730,000 or 10.12%.]]>
<![CDATA[PENERAPAN METODE EXACT MATCH PADA APLIKASI ALQUR’AN DAN HADITS BERBASIS ANDROID ]]>
<![CDATA[Citra Suardi]]>;
<![CDATA[Aji Prasetya Wibawa]]>;
<![CDATA[Tasrif Hasanuddin]]>;
<![CDATA[Muhammad Aliyazid Mude]]>;
<![CDATA[Sugiarto Cokrowibowo]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 3 (2019) ]]>
Publisher : <![CDATA[Prodi Teknik Informatika FIK Universitas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i3.438.184-190
<![CDATA[Exact Match is used to bring up sentences only on certain keywords. This study aims to apply the Exact Match method in the Al-qur'an and Hadith applications to find conformity between verses and hadiths. This research simplify for the people to increase their knowledge of the Qur'an and Hadith. This study uses interview techniques for some Muslims regarding the need to learn the quran and the hadith, observation technique is to do a comparison of several hadiths by asking for recommendations from the ustadz/ustazah, identify what are the shortcomings of existing hadith applications, and literature study techniques that are collecting data obtained from the Qur'an and the Hadith. The results of this study are (1) Created an application to match Hadiths that are in accordance the verse with the Exact Match method (2) Showing hadith related to the contents of the selected verse (3) Speed to produce a match in the Application of the Qur'an and Hadith depends on the internet network and the amount of data (4) The number of hadiths that appear is influenced by the number of available hadiths.]]>
<![CDATA[IMPLEMENTASI SISTEM USABILITY SCALE DALAM EVALUASI PERSPEKTIF PENGGUNA TERHADAP SISTEM INFORMASI AKADEMIK BERBASIS MOBILE ]]>
<![CDATA[Baibul Tujni]]>;
<![CDATA[Firamon Syakti]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 3 (2019) ]]>
Publisher : <![CDATA[Prodi Teknik Informatika FIK Universitas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i3.479.241-251
<![CDATA[Bina Darma University is one of the higher education institutions in South Sumatra Province. Bina Darma University has made a real contribution in the world of Education, especially in the South Sumatra Province. To ensure the smooth running of the academic routine, Bina Darma University has a special directorate, namely The Directorate of Systems and Information Technology (DSTI). The directorate's main task is to ensure the availability of IT services to support academic activities. One of the services currently available is a mobile-based academic information system (UBD on your hand). Where this service is a development service from an existing web-based academic information system. But to ensure that the service remains well-established, it is necessary to know how the user's perspective on an IT service such as the UBD application on your hand. To find out how far the user is using usability techniques using the system usability scale approach as a measurement tool. The measurement results obtained an average value of 87.2 indicating that the mobile-based academic information system (UBD on your hand) was viewed from an adjective rating including excellence category, seen from the grade scale including group B, and in terms of acceptability including acceptable groups. Thus, the category can be accepted by the user and feasible to use without repairs. ]]>
<![CDATA[SISTEM INFORMASI PEMASARAN PRODUK DESA BERBASIS WEB ]]>
<![CDATA[Kartarina Kartarina]]>;
<![CDATA[Pahrul Irfan]]>;
<![CDATA[Cristofer Satria]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 3 (2019) ]]>
Publisher : <![CDATA[Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i3.471.214-221
<![CDATA[Batu Mekar Village is one of the villages in West Lombok Regency in Lingsar District. Batu Mekar village has many products in the form of handicrafts such as bags, lamp decorations made from ketak or agricultural and plantation products such as coffee, palm sugar and others. The problem that exists in Batu Mekar Village is the low sales price of handicraft products because the product is only left at a souvenir shop. The decrease in the number of sales was not due to a decrease in the number of tourists who ended up on the island of Lombok due to the earthquake. In addition, the limited promotion media. This research was developed using the Rapid Application Development method. This research resulted in an online sales information system as a medium for handicraft sales, so that the public could directly sell their products without going through intermediaries as well as promotional media so that handicraft products can be sold directly and can be recognized by the wider community. The developed application can be used as a promotional medium as well as a means of selling Batu Mekar village handicraft products.]]>
<![CDATA[ANALISIS PERBANDINGAN PELACAKAN OBJEK MENGGUNAKAN OPTICAL FLOW DAN BACKGROUND ESTIMATION PADA KAMERA BERGERAK ]]>
<![CDATA[Wahyu Supriyatin]]>
<![CDATA[ ILKOM Jurnal Ilmiah Vol 11, No 3 (2019) ]]>
Publisher : <![CDATA[Prodi Teknik Informatika FIK Universitas Muslim Indonesia ]]>
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DOI: 10.33096/ilkom.v11i3.452.191-199
<![CDATA[Object tracking is one of computer vision. Can be developed into various based applications like human computers interface, video compression and security system. Object tracking is used to identified objects within background and identify the number of objects that a cross. Algorithm for this object tracking use optical flow method and background estimation. Testing is carried out using a moving camera placed in a car. It's using parameter values for each Algorithm. The test is used three videos from the Matlab. Simulink Profile Report that optical flow method had Recorded Total Time better than the background estimation with 100 seconds duration. The optical flow Testing method successfully identified the car object. And background testing didn't succeed in identified and to differentiate an object to it’s background. The object test recorded from the distance with a camera, to examined how many the background was and the speed of cars.]]>
