KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)
Jurnal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) adalah wadah publikasi bagi peneliti dalam bidang kecerdasan buatan, kriptografi, pengolahan citra, data mining, system pendukung keputusan, mobile computing, system operasi, multimedia, system pakar, GIS, jaringan computer.
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<![CDATA[Penerapan Data Mining Algoritma Hash Based Pada Data Pemesanan Buah Impor Cv. Green Uni Fruit ]]>
<![CDATA[Ulva Rizky Amanda]]>;
<![CDATA[Dito Putro Utomo]]>
<![CDATA[ KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 5, No 1 (2021): Peran Generasi Milenial Bertalenta Digital Pada Era Society 5.0 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/komik.v5i1.3653
<![CDATA[Data mining adalah proses yang menggunakan statistika, kecerdasan buatan, dan mechine learning untuk mengekstraksi dan mengidentifikasi data menjadi bermanfaat. CV. Green Uni Fruit merupakan perusahaan distributor dan importir buah-buahan memiliki pola pemesanan dengan data yang terarsip namun tidak dimanfaatkan dan hanya memenuhi ruang penyimpanan. Fungsi data mining asosiatif dapat digunakan untuk menemukan kombinasi atau aturan asosiatif suatu data sehingga data yang sebelumnya hanya terarsip, dapat ditemukan informasi dan hubungan dengan variabel lainnya. Salah satu teknik yang dapat digunakan pada proses mining rule asosiatif adalah algoritma Hash Based. Pada proses ini akan dilakukan pembangkitan kandidat rule mengggunakan table hash based dan proses pruning pada data transaksi. Penggunaan algoritma hash based pada proses mining rule asosiatif menjadikan penggunaan data penyimpanan lebih efektif dan efesien]]>
<![CDATA[SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN INSTRUKTUR FITNESS MENERAPKAN METODE ADDITIVE RATIO ASSESSMENT (ARAS) (STUDI KASUS : VIZTA GYM MEDAN) ]]>
<![CDATA[Mentari Ananda Hasmi]]>;
<![CDATA[Mesran Mesran]]>;
<![CDATA[Berto Nadeak]]>
<![CDATA[ KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/komik.v2i1.918
<![CDATA[Fitness instructor is someone who trains and gives direction to someone or a group of people who educate their clients (members), to help their clients achieve goals in terms of health, both physical and performance by exercising. Fitness instructors can also be called sports teachers. The obstacle faced at the time of acceptance of the Fitness Instructor is that the recruitment process is still done manually by looking at the data reports of prospective Fitness Instructors. Another obstacle is that the Fitness Instructor recruited does not have the quality capabilities desired by fitness owners. To overcome the selection process of Fitness Instructors who experience these obstacles by using an application called the Decision Support System. Decision Support Systems in determining the acceptance of Fitness Instructors can be generated based on several criteria in determining a criterion made to prevent mistakes made by certain parties. ARAS (Additive Ratio Assessment) is a comprehensive framework method of consideration of hierarchical processes which is then calculated by weighting to calculate a criterion in determining the acceptance of a Fitness Instructor.Keywords: Fitness Instructor, Decision Support System, Additve Ratio Assessment (ARAS)]]>
<![CDATA[IMPLEMENTASI METODE RETINEX UNTUK MENINGKATKAN KUALITAS CITRA UNDERWATER ]]>
<![CDATA[Bainun Harahap]]>
<![CDATA[ KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/komik.v2i1.953
<![CDATA[Digital imagery is a two-dimensional image process through a digital computer that is used to manipulate and modify images in various ways. Photos are examples of two-dimensional images that can be processed easily. Each photo in the form of a digital image can be processed through certain software devices. In the water environment, light factors greatly influence the results of image quality obtained. With the deepening of underwater shooting, the results obtained will be the darker the quality of the underwater image. Underwater imagery is widely used as an object in various activities such as underwater habitat mapping, underwater environment monitoring, underwater object search. Uneven lighting and colors that tend to be bluish and runny. One of the factors that influence the recognition results in pattern recognition is the quality of the image that is inputted. The image acquired from the source does not always have good quality. The process of improvement in digital images that experience interference in lighting and exposure to sunlight. The lighting repair process uses the retinex method and will compare the quality of the two methods later. Until later the results of both methods can be seen which is better. Retinex method can produce image improvement with high performance.Keywords: Digital Cintra, Underwater, Matlab Retinex Method]]>
<![CDATA[ANALISA METODE WEIGHTED SUM MODEL (WSM) PENERIMA KARTU INDONESIA PINTAR (KIP) KEPADA SISWA/I DI SD (SEKOLAH DASAR) ]]>
<![CDATA[Marlina Drawati Saragih]]>;
<![CDATA[Heru Satria Tambunan]]>;
<![CDATA[Rafiqa Dewi]]>
<![CDATA[ KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/komik.v3i1.1663
<![CDATA[Indonesia Smart Card is a cash assistance from the government given to students whose parents are less able to finance their education. As a continuation and expansion of the objectives of the Poor Student Assistance (BSM) program. KIP has the goal of increasing access for children aged 6 (six) to 21 (twenty one years). In Primary School 091329 in the recipient of the Smart Indonesia Card faces many problems As students who are entitled to receive assistance actually do not receive. because of that there were protests and demonstrations caused by Kartu Indonesia Pintar which were not on target. The criteria for Indonesian card recipients are smart social protection card holders, parents' income, no vehicles, no dependents, orphans. In its implementation, it certainly has obstacles in deciding who students get the smart Indonesian card. To solve the problem, a weighted Sum Model (WSM) decision support system can overcome this problem. By applying the Weighted Sum Model (WSM) which is relatively easy and fast, it is believed to be able to get the best results. This research can provide information to the school in the recipient of the Indonesia Smart Card (KIP) for the following year. Keywords: SPK, Weighted Sum Model (WSM), Receiver of Smart Indonesia Cards]]>
<![CDATA[Perancangan Aplikasi Kompresi File Audio Menerapkan Algoritma Universal Codes ]]>
<![CDATA[Ria Handayani]]>
<![CDATA[ KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 5, No 1 (2021): Peran Generasi Milenial Bertalenta Digital Pada Era Society 5.0 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/komik.v5i1.3735
<![CDATA[Untuk proses penyimpan maupun pengiriman dengan mudah serta cepat dalam melakukan proses pengirimannya tanpa adanya hambatan dari media penyimpanan. Untuk melakukan kompresi dalam memperkecil ukuran file audio dengan menggunakan teknik kompresi yaitu lossless dimana file audio hasil kompresi dapat dikembalikan ke bentuk ukuran sebelumnya. Pada saat proses menghitung kinerja dengan menggunakan Compression Ratio(Cr), Redudancy. Dari proses kompresi dan dekompresi file audio berekstensi .MP3 ini memiliki hasil kompresi file audio dengan berekstensi .unc yang berisikan string bit. Dari hasil kompresi maka tahap selanjutnya adalah mengembalikannya kebentuk awal dengan proses dekompresi. Dalam bentuk rancangannya menggunakan satu form yaitu proses kompresi dan dekompresi, pada proses kompresi input file audio berekstensi .MP3, sedangkan outputnya file audio berekstensi .unc dengan ukuran file audio lebih kecil dari ukuran file audio sebelumnya]]>
<![CDATA[KLASIFIKASI PENGELOMPOKAN DALAM MELIHAT KESESUAIAN DAYA PELANGGAN KOTA LHOKSEUMAWE ]]>
<![CDATA[Andik Bintoro]]>;
<![CDATA[Safwandi Safwandi]]>
<![CDATA[ KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/komik.v2i1.944
<![CDATA[Classification of K Nearest Neighbors in this study to determine the grouping in seeing the suitability of the installed household electricity customers. Then the system built can see customers who want to know the amount of power given and want to add new. Conversely, if customers who want to reduce the power that has been given because it is too large with the condition of houses that are not large and not much use, can be seen in this system. The purpose of this study is to facilitate old customer customers in seeing the installed power with a variable amount of air conditioner (AC), number of refrigerators, number of washing machines and other electronic quantities based on the grouping of test data. first adjusted to the new test data. The process of the K-Nearest Neighbor method is to input the customer's name with the value of the amount of air conditioner (AC) with a value of 2, the number of refrigerators with a value of 2, the number of washing machines with a value of 1 and the number of other electronics with a value of 7. Then the data is seen with distance closest is 1.73205 by being trained by seeing neighbors nearby in training training. Furthermore, training of the data was obtained by customers with ID P-05 found in class C2 classifications. The results of this system are in the form of customer grouping which is categorized into 4 ampere, 6 ampere or 12 ampere category classification types, each of which is seen from the amount of power installed. This research is expected to help PLN customers of the city of Lhokseumawe in knowing the old customers who are included in the type of grouping.Keywords: Classification, Electrical Power, K-Nearest Neighbors]]>
<![CDATA[PENERAPAN ALGORITMA C4.5 PADA KLASIFIKASI POTENSI SISWA DROP OUT ]]>
<![CDATA[Muhamad Muhamad]]>;
<![CDATA[Agus Perdana Windarto]]>;
<![CDATA[Suhada Suhada]]>
<![CDATA[ KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/komik.v3i1.1688
<![CDATA[Students are one of the substances that need to be considered in relation to the world of education today. The difficulty of getting students makes the school have to optimize the learning system and infrastructure as well to attract the interest of new students and also make students who have gone to school not drop out or drop out. One of the factors contributing to the large number of students dropping out is because of the lack of policies and actions from the education institutions to keep their students from dropping out. The purpose of this study was to classify potentially dropout students and not have the potential to drop out with the C4.5 algorithm as a reference in making policies and actions to reduce the number of students dropping out. The classification results of the C4.5 algorithm are evaluated and validated with RapidMinerStudio to determine the accuracy of the C4.5 Algorithm in classifying potential dropouts.Keywords: Student dropout, Classification, C4.5 Algorithm]]>
<![CDATA[PENGELOMPOKAN KASUS PENYAKIT AIDS BERDASARKAN PROVINSI DENGAN DATA MINING K-MEDOIDS CLUSTERING ]]>
<![CDATA[Leonardo Purba]]>;
<![CDATA[Saifullah Saifullah]]>;
<![CDATA[Rafiqa Dewi]]>
<![CDATA[ KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/komik.v3i1.1679
<![CDATA[Acquired Immunodeficiency Syndrome or Acquired Immune Deficiency Syndrome (AIDS abbreviated) is a set of symptoms and infections that arise due to the destruction of the human immune system due to HIV viral infection. This study discusses about Rapidminer Application in Grouping Cases of AIDS Disease by Province with K-medoid Clustering Data Mining. The rise of AIDS cases in Indonesia has become a case that never escapes government attention. Attention to the ever increasing rate of death makes people worry about the spread of the AIDS virus. Sources of data and research are collected from the information document Number of Villages Who Have Health Facilities produced by the Social Security Administering Board. The data used in this study is data from 2008-2011 which consists of 34 provinces. Assessment criteria used are 2 ie 1). the average number of AIDS cases and 2). the average number of AIDS cases deaths were managed using 3 clusters ie high cluster level (C1), medium cluster level (C2) and low cluster level (C3). So that the cluster C1 obtained for Cases of AIDS Disease by Province as many as 4 provinces of Papua, DKI Jakarta, West Java and East Java, 9 provinces for cluster C2 and for cluster C3 as much as 20. This can be input to the government, the province of concern in the number of cases of AIDS.Keywords: Maining Data, AIDS Disease, Clustering, K-medoid]]>
<![CDATA[IMPLEMENTASI PENENTUAN ARSITEKTUR MASJID MODERN DI ACEH MENGGUNAKAN PEMODELAN SISTEM CERDAS ]]>
<![CDATA[Soraya Masthura Hasan]]>;
<![CDATA[T Iqbal Faridiansyah]]>
<![CDATA[ KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/komik.v2i1.970
<![CDATA[Mosque architectural design is based on Islamic culture as an approach to objects and products from the Islamic community by looking at their suitability and values and basic principles of Islam that explore more creative and innovative ideas. The purpose of this system is to help the team and the community in seeing the best mosque in the top order so that the system can be used as a reference for the team and the community. The variables used in the selection of modern mosques include facilities and infrastructure, building structure, roof structure, mosque area, level of security and facilities. The system model used is a fuzzy promethee model that is used for the modern mosque selection process. Fuzzy inference assessment is used to determine the value of each variable so that the value remains at normal limits. Fuzzy values will then be included in promethee assessment aspects. The highest promethee ranking results will be made a priority for the best mosque ranking. This fuzzy inference system and promethee system can help the management team and the community in determining the selection of modern mosques in aceh in accordance with modern mosque architecture. Intelligent System Modeling System In Determining Modern Mosque Architecture in the City of Aceh, this building will be web based so that all elements of society can see the best mosque in Aceh by being assessed by all elements of modern mosque architecture.Keywords: Fuzzy inference system, Promethe, Option of Masjid]]>
<![CDATA[HIGH AVAILABILITY NETWORK DESIGN UNIVERSITY CAMPUS NETWORK DENGAN MODEL HIRARKI (HIERARCHICAL NETWORK) ]]>
<![CDATA[Oris Krianto Sulaiman]]>;
<![CDATA[Khairuddin Nasution]]>;
<![CDATA[Dodi Siregar]]>
<![CDATA[ KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 1, No 1 (2017): Intelligence of Cognitive Think and Ability in Virtual Reality ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/komik.v1i1.466
<![CDATA[Many of the problems that occur in large-scale computer network one of the problems is a complex network design and difficult to change because the system is running, one of these problems is within the university network, as is known the number of most Internet users come from the university, therefore design or reliable network design is required for good access at the university. Hierarchical network model is one of the efficient network design to be applied in large-scale networks. This model uses 3 layers (layer) namely core layer, distribution layer and access layer. Each layer will be maximized for use in the university network distribution layer will use inter vlan routing which will then be distributed to the faculties acting as the access layer. Network design with hierarchical model will also make it easier to monitor or monitor network traffic so it will be easy for the network administration in managing the work.]]>
