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KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 25974610     EISSN : 25974645     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
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.
Arjuna Subject : -
Articles 600 Documents
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REDUKSI NOISE SALT AND PEPPER PADA CITRA PANKROMATIK MENGGUNAKAN METODE ARITHMATIK MEAN FILTER Pane, Latifah Hanum; Nasution, Surya Darma; Murdani, Murdani
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 1, No 1 (2017): Intelligence of Cognitive Think and Ability in Virtual Reality
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v1i1.489

Abstract

Banyak gangguan yang dapat terjadi pada citra hasil kamera digital, seperti lensa tidak fokus, muncul bintik-bintik yang disebabkan oleh proses capture yang tidak sempurna, pencahayaan yang tidak merata yang menyebabkan intensitas tidak seragam, kontras citra terlalu rendah sehingga objek sulit dipisahkan dari latar belakangnya atau gangguan yang disebabkan oleh kotoran yang menempel pada citra dan lain sebagainya. Noise yang berupa bintik-bintik dapat mengurangi keindahan sebuah citra. Reduksi noise merupakan suatu proses untuk mengurangi noise pada sebuah citra untuk meningkatkan kualitas citra yang merupakan langkah awal dalam citra. Salah satu teknik yang digunakan untuk mereduksi noise adalah filter yang melakukan pemisahan noise dari objek-objek pada citra. Algoritma yang digunakan pada penelitian ini adalah Arithmetik Mean Filter yang melakukan reduksi pada noise dengan cara mengganti nilai piksel dengan nilai tengah (rata-rata) intensitas piksel citra yang mengandung noise. Citra yang terkena noise biasanya mengalami penurunan mutu, kurangnya keindahan citra tersebut. Sehingga sangat diperlukan teknik reduksi noise, karena dengan teknik ini citra yang tadinya mengandung kotoran yang menempel atau bintik-bintik, kini bisa dibersihkan dan citra terlihat lebih indah bagus.
ANALISA METODE SHA384 UNTUK MENDETEKSI ORISINALITAS CITRA DIGITAL Simanullang, Putri M; Sinurat, Sinar; Saputra, Imam
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1588

Abstract

Cryptography is used to maintain the security of content or information that is personal from anyone except those who have the authority or secret key to open the information that has been encoded. Along with the development of technology and computers now, the increase in computer crime has also increased, especially in image manipulation. Many methods are used and carried out by people to manipulate images that have a detrimental effect on others. The originality of a digital image is the authenticity of the image in terms of colors, shapes, objects and information without the slightest change from the other party. Nowadays many digital images circulating on the internet have been manipulated and even images have been used for material fraud in the competition, so we need a method that can detect the image is authentic or fake like a diploma.In this study, the authors used the SHA-384 method to detect the originality of digital images, using this method an image that is still doubtful of its authenticity can be found out that the image is authentic or fake.Keywords: Originality, Citra, SHA-384
IMPLEMENTASI ALGORITMA NEAREST NEIGHBOR PADA PENERIMAAN PEGAWAI BARU PADA MTS IKHWANUTS TSALITS TALUN KENAS Sitepu, Rahmad Dani; Buulolo, Efori
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 1, No 1 (2017): Intelligence of Cognitive Think and Ability in Virtual Reality
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v1i1.507

Abstract

Accumulation ofnemployeenacceptance file on unatapped MTs Ikhwanuts Tsalits Talun Kenas is a problem that must be solved well, in order to create a utilization of science in the process of receiving employess. In data mining, there are many branches of science contained one of which is nearest neighbor. Nearest neighbor is a method of data mning by calculating the proximity between new cases and old cases. Appropriate steps taken to utilize the science of data mining in overcoming the accumulation of existing files that is implementing the method nearest neighbor
FUZZY LOGIC METODE TSUKAMOTO UNTUK PREDIKSI PRODUKSI CPO DENGAN PERMINTAAN BERSIFAT STOKASTIK PADA PT. TOR GANDA Naibaho, Frainskoy Rio
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1607

Abstract

The best decision is the main goal in a problem. Decisions in the determination of stock Crude Palm Oil (CPO) the Palm Oil Mill  is very important because it is directly in contact with the company's survival. Uncertain demand becomes a major problem in the sales of CPO, and so we need a system that can answer this question. Fuzzy logic is used in matters relating to the forecast with a high degree of accuracy. Fuzzy logic mapped the problem by first changing into linguistic mathematical conditions. Role created can answer many problems, including the problem of prediction. Fuzzy logic system consists of a subset of fuzzy and fuzzy rules. Fuzzy subsets represent different subsets of input and output variables. Fuzzy rules associated with input variables to the output variable via the subsets. Given the fuzzy rules which can be formed very flexible, then the fuzzy system can compute problems quickly and efficiently.Keywords: Fuzzy Logic, Tsukamoto, stochastic, inventories, CPO
IMPLEMENTASI ALGORITMA K-Modes UNTUK MENENTUKAN STRATEGI MARKETING STMIK BUDI DARMA Nduru, Ewin Karman; Buulolo, Efori; Pristiwanto, Pristiwanto
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.903

Abstract

Universities or institutions that operate in North Sumatra are very many, therefore, of course, competition in accepting new students is very tight, universities or institutions do certain ways or steps to be able to compete with other campuses in gaining interest from community or high school students who will continue their studies to a higher level. STMIK BUDI DARMA Medan (College of Information and Computer Management), is the first computer high school in Medan which was established on March 1, 1996 and received approval from the government through the Minister of Education and Culture, on July 23, 1996 with operating license number 48 / D / O / 1996, in promoting the campus, the team usually formed a promotion team to various regions in the North Sumatra Region to provide information to the community. Students who have learned in this campus are quite a lot who come from various regions in North Sumatra, from this point the need to process data from students who are active in college to be processed using data mining to achieve a target, one method that can be used in data mining, namely the ¬K-Modes clustering (grouping) algorithm. This method is a grouping of student data that will be a help to campus students in promoting, using the K-Modes algorithm is expected to help and become a reference for marketing in determining the marketing strategy STMIK Budi Darma MedanKeywords: STMIK Budi Darma, Marketing Strategy, K-Modes Algorithm.
ANALISIS PERBANDINGAN KINERJA ALGORITMA FIXED LENGTH BINARY ENCODING DAN ALGORITMA ELIAS GAMMA CODE DALAM KOMPRESI FILE TEKS Pratiwi, Dian; Zebua, Taronisokhi
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1623

Abstract

Now days, there are many algorithms developed for data compression, but there is no one that is good for compressing various types of files because of different characteristics or file structures. This research explained the result of two compression algorithms in order to know the performance comparison between the Fixed Length Binary Encoding (FLBE) algorithm and the elias gamma code algorithm in compressing text files, especially in format rtf. The parameters being compared are the ratio of compression, compression ratio, redundancy and time. Based on the test results show that the fixed length binary encoding algorithm is better than the elias gamma code algorithm where the average ratio of compression results of fixed length binary encoding algorithm is 1.66 bits while the elias gamma code is 1.62 bits. The average compression ratio of fixed length binary encoding algorithm is 60.9% while Elias Gamma Code is 62.20%. The average value of the redundancy of the fixed length binary encoding algorithm is 39.1% while the gamma code elias is 37.79%. The average time compression value of the fixed length binary encoding algorithm is 16 ms while the elias gamma code is 21 ms.Keywords: comparison, compression, FLBE algorithm, Elias Gamma Code Algorithm, text, rtf
Sistem Pendukung Keputusan Pemilihan Mekanik Terbaik Menggunakan Metode Operational Competitiveness Rating Analysis (OCRA) Studi Kasus: Auto2000 Refika Ratna Dilla; Dito Putro Utomo
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 5, No 1 (2021): Peran Generasi Milenial Bertalenta Digital Pada Era Society 5.0
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v5i1.3657

Abstract

Auto2000 adalah jaringan penjualan, perbaikan dan pemeliharaan yang didirikan pada tahun 1974 dengan nama Astra Motor Sales dan berubah nama menjadi Auto2000 pada tahun 1990 di bawah manajemen PT. Dalam bisnisnya, Auto2000 berasosiasi dengan PT. Toyota Astra Motor sebagai Agen Tunggal Pemegang Merek (ATPM) Toyota, menjadikan Auto2000 sebagai salah satu dealer resmi Toyota. Kedepannya, jumlah jaringan Auto2000 akan terus bertambah seiring dengan perkembangan bisnis serta untuk memenuhi kebutuhan seluruh pelanggan Toyota. Peningkatan dan penurunan kepuasan pelanggan tergantung pada kegiatan layanan purna jual. Salah satu upaya Auto2000 untuk membuat mekanik tetap antusias dan termotivasi untuk menyelesaikan pekerjaan adalah memilih mekanik terbaik untuk diakui dalam bentuk hadiah uang tunai atau mekanik terbaik. Pemilihan mekanik dilakukan oleh tim evaluasi yaitu pengelola bengkel. Auto2000 melakukan evaluasi bulanan dan pemilihan mekanik terbaik dan sampai saat ini selalu dilakukan secara berkala. Masalah dengan Auto2000 adalah Pengelola Bengkel kesulitan merangkum hasil evaluasi dan pengolahan data karena pengolahan data dilakukan hanya dengan menggunakan Microsoft Excel dan Pengelola Bengkel hanya mengerjakan apa yang dilakukannya. prosesnya tidak optimal dan membutuhkan waktu. Dan dalam proses evaluasi terdapat hasil akhir yang sama antar mekanik, sehingga pengelola bengkel harus melihat data history masing-masing mekanik untuk dijadikan bahan pertimbangan dalam memilih mekanik terbaik. Oleh karna itu salah satu solusi untuk mengatasi masalah tersebut dengan menggunakan Sistem Pendukung Keputusan (SPK) dan menerapkan metode OCRA (Operational Competitiveness Rating Analysis) itu sendiri merupakan salah satu dari metode sistem pendukung keputusan, dimana metode OCRA ini teknik pengambilan keputusannya multi kriteria didasarkan pada teori bahwa setiap alternatif terdiri dari sejumlah kriteria yang memiliki nilai-nilai dan setiap kriteria memiliki bobot yang menggambarkan seberapa penting ia dibandingkan dengan kriteria lain. Pembobotan ini digunakan untuk menilai setiap alternatif agar diperoleh alternatif terbaik. Dengan adanya Sistem Pendukung Keputusan  (SPK) dan metode ini diharapkan dapat membantu pihak Kepala Bengkel dalam mengambil keputusan Pemilihan Mekanik Terbaik meningkatkan objektif dari keputusan tersebut.
SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN KELUARGA HARAPAN KHUSUS LANSIA DENGAN MENERAPKAN VIKOR (STUDI KASUS: DESA PATUMBAK II) Pardede, Swandi Dedi Arnold; Mesran, Mesran; Panjaitan, Melda; Waruwu, Fince Tinus; Ramadhan, Puji S
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.920

Abstract

The development of Indonesia's population at this time is very rapid so that Indonesia has many problems including poverty problems that occur in the midst of society. In dealing with these problems the government has a program with a form of social assistance known today as the Elderly Family Hope Program (PKH). In accordance with the Decree of the Director General of Social Protection and Security Number 26 / LJS / 12/2016 in terms of social assistance the Recipients are those that have been determined by the Director General of Social Family. As well as in the Distribution this assistance is distributed in four stages one Year. Decision Support System is a computer-based system consisting of several components, namely language system components, system components of knowledge, and problem processing system components that are interrelated with one another, in making decisions through the use of data. data and decision models in order to solve a problem. The VIKOR method where this method focuses on ranking and chooses from an alternative set and determines the solution to the problem of criteria that are constrained and can result in decision making as a final decision and the best ranking method is the lowest resultKeywords: Decision Support System, Vikor, Recipient of Family Hope Assistance 
IMPLEMENTASI RAPIDMINER DENGAN METODE K-MEANS (STUDY KASUS: IMUNISASI CAMPAK PADA BALITA BERDASARKAN PROVINSI) Sari, Riyani Wulan; Wanto, Anjar; Windarto, Agus Perdana
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.930

Abstract

Measles is one of the causes of death in children around the world which always increases every year. Although measles immunization programs have been implemented, the incidence of measles in children is still quite high. This study discusses the Implementation of Rapidminer with the K-Means Method (Case Study: Measles Immunization in Toddlers by Province). The increase in cases of measles in toddlers in Indonesia is a case that has never been separated from the government's attention. Data sources and research were obtained from the Central Statistics Agency (BPS). The data used in this study are data from 2004-2017 which consists of 34 provinces. The cluster process is divided into 3 (three) clusters, namely high cluster level (C1), medium cluster level (C2) and low cluster level (C3). So that the assessment for cases of immunization against measles based on high cluster province (C1) is 21 provinces for medium cluster (C2) of 12 provinces and for low cluster (C3) of 1 province. The results of the cluster can be used as input for the government, especially the provinces, so that provinces that enter the high cluster receive more attention and increase the socialization of measles immunization against children under five. Keywords: Data Mining, Measles, Clustering, K-means
PENERAPAN KLASIFIKASI C4.5 DALAM MENINGKATKAN SISTEM PEMBELAJARAN MAHASISWA P, Dini Rizky Sitorus; Windarto, Agus Perdana; Hartama, Dedy; Damanik, Irfan Sudahri
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 3, No 1 (2019): Smart Device, Mobile Computing, and Big Data Analysis
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v3i1.1665

Abstract

The purpose of this research is to classify the improvement of student learning systems using the C4.5 datamining method. The source of the research data was obtained from the education section of STKOM Tunas Bangsa through interviews and questionnaires to semester 5 students (160 students) in the 2019-2020 academic year study program. The attributes used in the classification of student learning systems include: Teaching System (C1), Teaching Aids (C2), Environment (C3), Infrastructure Facilities (C4) and Assignment (C5). The calculation results mention the attribute Assignment (C5) is the attribute that most influences the improvement of student learning systems. The test was also carried out using the help of Rapidminer software and obtained an accuracy of 95%.Keywords: Datamining, Classification, C4.5, Student Learning, STIKOM Tunas Bangsa

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