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Journal : KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)

IMPLEMENTASI METODE MARR-HILDERTH OPERATOR UNTUK MENDETEKSI TEPI CITRA IKONOS Zalukhu, Yusman; Sunandar, Hery; Hondro, Rivalri Kristianto
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 | Full PDF (23.348 KB) | DOI: 10.30865/komik.v2i1.957

Abstract

Ikonos imagery is a satellite image that has high spatial resolution with an accuracy of one meter pixels for panchromatic and four meters to multispektral. Ikonos imagery is often used to map the process, view, measure and memoniotring areas of work/activities on the Earth. Ikonos image of Government also often use it for things like national security evaluation against the occurrence of the disaster, city planning, mineral exploration and mine planning monitoring of agriculture, and others. Image digital imaging results over long distances using satellite is often there are disturbances in the form of light distortion, noise or other distractions that cause the object on the image less obvious or obscure. This discussion on the research being done is knowing the process of detection on image by calculating the difference between two dots are bertetanggan, and is in the process of smoothing and thresholding on image ikonos. The methods used in this research is a method of Marr-Hilderth. In addition, a process that is done on this research is conducting a testing method against Marr-Hilderth, which can be implemented to fix the blurry objects on images ikonos. The results of this research is to generate image ikonos with display clear object with the menerapakan method of the Marr-Hilderth and tested using the matlab application version 7.8 (r2009a).Keywords: Ikonos image, image processing, method of Marr-Hilderth, Matlab 7.8
IMPLEMENTASI METODE VIKOR DALAM PEMILIHAN KEPALA SEKOLAH BERPRESTASI PADA DINAS PENDIDIKAN SUMATERA UTARA Wulan, Sri; Nadeak, Berto; Hondro, Rivalri Kristianto; Waruwu, Fince Tinus
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 | Full PDF (23.348 KB) | DOI: 10.30865/komik.v2i1.963

Abstract

North Sumatra Office of education through the Directorate General of Teachers conducting the election of the head of the school is doing, with these activities the North sumatra Office of education hope school principals have success in education, so demanding to renew the social and professional attitude in managing education led. The election of the head of school is done to be able to improve quality and manage in school education so that it could be improved, so that it is able to answer the challenges of the global era-based excellence. The selection process should be free from the interests of religion, tribe or region. So that the final results of the election, do not cause harm to either party. But in pelaksanaanya there are some parties who feel aggrieved because of the lack of transparency of the assessment process and clear terms for the election of the head of school achievers. Resolve the problem then need to built a decision support system (SPK) which is able to provide the ability to solve problems with the condition of semi structured and unstructured. Use the perangkingan method, it is expected that it may facilitate in providing the principal election decision accomplished using VIKOR. The results obtained in this study is an alternative that has been dirangkingkan. Based on the results of the rank of produced output that is the names of the principal performer.Keywords: Head Of School Achievers, Decision Support System, VIKOR Method
PENERAPAN ALGORITMA TURBO BOYER MOORE PADA APLIKASI MAKNA TUTUR BATAK BERBASIS ANDROID Pratama, Minarni; Ginting, Guidio Leonarde; Hondro, Rivalri Kristianto
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 | Full PDF (23.348 KB) | DOI: 10.30865/komik.v2i1.923

Abstract

Follow said or speech act is to include a component of language and nonbahasa that describe the Acts language intact involving someone in the conversation for the delivery of the mandate. Batak is one of the tribes that are in the North sumatra province which has its own regional languages. Batak region has many languages spoken that have their own special meanings commonly used batak on each process festivities batak. In General, any person who has a marga batak in particular, will be required to perform its role in accordance with the roles have in attending ceremonies or else speak sapa with other families. Many said the word in the language area of the batak batak descent are sometimes obliged to remember it and sometimes there are that have yet to find out its meaning. It is an obvious problem for the people of batak especially for living in urban areas because of the technological developments that erode customs. The solution of these problems is by way of designing a media information in the form of the application is the meaning of the said in the batak are easily accessible and easily understood by the public. Word search techniques used in this research is the turbo algorithm boyer moore. The Turbo Boyer-Moore algorithm is an algorithm that was developed originally is Boyer-Moore Algorithm. The results achieved in this research is the application of a batak said meaning android can be installed on android smartphones and can be used offline.Keywords: Makna Tutur Batak, Algoritma Turbo Boyer Moore, Pemograman Android, Aplikasi Android
PENERAPAN JARINGAN SARAF TIRUAN STANDARISASI HARGA BARANG DISTRIBUTOR DI MEDAN DENGAN ALGORITMA LAVENBERG MARQUARDT Matanari, Supriyanti; Hondro, Rivalri Kristianto
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 | Full PDF (23.348 KB) | DOI: 10.30865/komik.v2i1.960

Abstract

The Medan Central Bureau of Statistics is tasked with surveying data or calculating quality statistical data and information which includes accuracy of relevance and also for price standardization or determination. The problem in setting the price standard is because many companies raise prices without surveying data first and some other companies do not adjust the price of one to another. To handle this, one method is needed to study and analyze Distributor Item Price data to be uniform, using knowledge of artificial neural network analysis using the Levenberg-Marquardt method. With this activity the Medan Central Bureau of Statistics hopes that the company in an effort to increase customer satisfaction with the products produced can be done by producing a product or item with high quality and quality with balanced pricing in accordance with the conditions in the market (adjusted to community income). The results obtained through this study are the uniformity of the prices of distributor goods in the market, which have previously been through the process of testing and applying mathematically statistically using matlab software.Keywords: Artificial Neural Networks, Levenberg-Marquardt Method, Distributor Prices, MATLAB
PENERAPAN ALGORITMA LEVENSTEIN PADA APLIKASI KOMPRESI FILE MP3 Sari, Tetti Purnama; Nasution, Surya Darma; Hondro, Rivalri Kristianto
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 | Full PDF (23.348 KB) | DOI: 10.30865/komik.v2i1.946

Abstract

Compressed files require less disk space than files that are not compressed, so compressing is useful for backing up data by using storage space to be small or to send information over the Internet faster. MP3 makes the audio format often used because the data stored resembles the original data when recorded and has a size that is not too large compared to other formats. Users besides storing song files, they also store videos and other files and users also want the highest quality data and minimum quantity (size). So to make a lot of empty space and have a size of data that is not large on storage media, a compression method that means to shorten the size of the bits needed for data is needed. Algorithms used in the compression process, including the Levenstein algorithm which is a type of lossless compression. Applying the Levenstein algorithm to the compression process the author wants to know the performance of compression when done by compressing MP3 files, so that large MP3 files will be compressed into smaller sizes, so that the transmission process is carried out faster and reduces the data storage location.Keywords: MP3, File, Levenstein
Penerapan Text Mining Dengan Menggunakan Metode TF-IDF Untuk Menentukan Genre Dari Komik Saragih, Windi Sri Utami; Hasibuan, Nelly Astuti; Hondro, Rivalri Kristianto
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2679

Abstract

Comics are literary works whose story descriptions are displayed in the form of pictures and in the story there is one character who is favored. The division of comics into genres is less effective, because the words represent inappropriate genres. Therefore we need a system that can determine the genre of a comic automatically due to the many genres of the comic. This study uses text mining and TF-IDF for the process of determining the comic genre. Text mining can be defined as the discovery of new information that was previously unknown to computers by extracting automatic information from different sources. Meanwhile, resource data is used as a reference in determining the comic genre. In this study, comics were divided into 4 categories: horror, inspirational, mystery and romantic. The text entered is in the form of title, author, and synopsis. This synopsis will be processed to produce a comic genre. The first process is the process of document preparation and document selection. Then proceed with the word weighting process using TF-IDF, then determining the genre of comics is done by comparing the similarity value between the text and a node in the resource data. The text obtained will be classified in an existing genre or node, if it has the highest similarity value in one of the nodes in the data resource. It is hoped that the system to be built is in accordance with the expectations of researchers, so that the system to be built can determine the genre of a comic.Keywords: Classification, Comic, Text Mining, Resource Data, TFIDF
PENERAPAN ALGORITMA LEVENSTEIN PADA APLIKASI KOMPRESI FILE MP3 Sari, Tetti Purnama; Nasution, Surya Darma; Hondro, Rivalri Kristianto
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.v2i1.946

Abstract

Compressed files require less disk space than files that are not compressed, so compressing is useful for backing up data by using storage space to be small or to send information over the Internet faster. MP3 makes the audio format often used because the data stored resembles the original data when recorded and has a size that is not too large compared to other formats. Users besides storing song files, they also store videos and other files and users also want the highest quality data and minimum quantity (size). So to make a lot of empty space and have a size of data that is not large on storage media, a compression method that means to shorten the size of the bits needed for data is needed. Algorithms used in the compression process, including the Levenstein algorithm which is a type of lossless compression. Applying the Levenstein algorithm to the compression process the author wants to know the performance of compression when done by compressing MP3 files, so that large MP3 files will be compressed into smaller sizes, so that the transmission process is carried out faster and reduces the data storage location.Keywords: MP3, File, Levenstein
IMPLEMENTASI METODE PIXEL VALUE DIFFERENCING UNTUK PENYEMBUNYIAN PESAN PADA CITRA DIGITAL Andri, Ricky; Hondro, Rivalri Kristianto; Tampubolon, Kennedi
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.v3i1.1613

Abstract

The development of information technology is very fast, causing a lot of security holes that can be misused by people who are not responsible so that it can harm certain parties. Digital images are chosen as a container for inserting messages because digital images have sufficient size to hold the message and digital images are often used in information exchange so as not to invite suspicion from irresponsible parties. The information to be sent is hidden in a digital image, then the digital image is sent as normal data, so that third parties do not suspect that there is confidential information inside. Information that is hidden in the digital image can be extracted again by the recipient of the message. Pixel Value Differencing (PVD) works on a pair of adjacent pixel values (adjacent pixels). The advantage of the Pixel Value Differencing (PVD) method is that the capacity of the image generated to insert a message can be smaller than its original size, the processing time of this method is quite fast, after the message is inserted, the image quality has good quality. But this method also has disadvantages, because it is not resistant to manipulation.Keywords: Steganography, Digital Image, Pixel Value Differencing
Implementasi Metode Moora Dalam Sistem Pendukung Keputusan Prmilihan Kepala Cabang Pada Pt. Dakota Buana Semesta Cici Oktaviani; Rivalri Kristianto Hondro; Fince Tinus Waruwu
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.v5i1.3665

Abstract

Kepalacabangmerupakan orang yang berwenangdanberkuasadalammemimpin meeting maupun briefing bersamadengankaryawannya dan memiliki tanggung jawab atas semua kegiatan perusahaan. Hal inidapatmembantukaryawandalammemahamiapa yang diinginkandandimaksudkanolehkepalacabangselakupimpinan di kantorcabang. Masalah yang sering terjadi pada saat Pemilihan Kepala cabang Pada PT. Dakota Buana Semesta yaitu masih adanya bersifat kekeluargaan dan ketidaksesuaian jabatan sehingga PT. Dakota Buana Semesta tidak mengalami peningkatan, tidak terpacu maju dan akan berdampak ke operasional lainnya. Hal ini tentunnnya sangat tidak baik karena mempengaruhi kelancaran operasional Pada PT. Dakota Buana Semesta dan sasaran tujuan tidak tepat. Maka dari itu diperlukan sebuah Sistem Pendukung Keputusan kepala cabang sehingga cara Ini tidak dianggap objektif karena tidak sesuai dengan data kepala cabang.Untuk mengatasi penentuan kepala cabang, maka penulis memilih metodeImplementasi MOORA. Metode ini dapat menyaring alternatif terbaik dikarena Metode Moora mampu menentukan tujuan berdasarkan kriteria yang bertentangan, sehingga penggunaan metode ini tepat untuk menyelesaikan permasalahan ini. Padapenelitian ini penulis tertarik untuk melakukan suatu penelitian dengan menerapkanmetodeImplementasiMetodeMOORA Penulisberharappenelitianinidapatmemberikanhasil yang lebihbaikdanbersifatobjektifterhadapmenentukanpemelihan kepala cabang yang dilakukanpada PT. Dakota BuanaSemesta untukitupenulismengangkatjudulpenelitian“ImplementasiMetode MOORA Dalam Sistem Pendukung Keputusan Pemilihan Kepala Cabang Pada PT Dakota Buana Semesta”.
Sistem Pendukung keputusan Pemilihan Pelatih Seni Dengan Menggunakan Metode Grey Absolute Decision Analysis (Gada) (Studi Kasus: Sekolah Perguruan Harapan Mandiri) Dariusu Zebua; Rivalri Kristianto Hondro
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.v5i1.3645

Abstract

Pelatih seni merupakan seseorang yang memiliki kewajiban dan tugas untuk mempersiapkan pembentukan fisik, mental, moral, dan rohani seseorang untuk menjadi pendorong bakat dan keahlian dalam bidang tertentu seperti olahragawan, seniman, budaya dan lain-lain. Masalah yang sering terjadi dalam pemilihan pelatih seni pada sekolah perguruan harapan mandiri sebelumnya hanya dilakukan seleksi manual oleh guru-guru saja, tidak melibatkan pihak yayasan dan para siswa untuk memberikan penilaian secara nyata. Atas pemilihan tersebut sangat mempengaruhi kinerja dan kualitas pelatih, akibat lain dari tindakan tersebut juga dapat menghambat visi misi dari sekolah yaitu unggul, berprestasi, dan berkarya. Pada penelitian ini penulis menggunakan Metode Grey Absolute Decesion Analysis (GADA) Sebagai solusi pengambilan keputusan untuk menentukan pelatih seni. Pada metode Gada ini dianggap sesuai dengan seleksi pemilihan pelatih seni karena metode Gada melakukan proses perangkingan berdasarkan atribut dan bobot yang berbeda-beda, dan lebih memprioritaskan data alternatif, sehingga hasilnya lebih optimal dan akurat dalam pemilihan perlatih seni. Kesimpulan Berdasarkan perhitungan menggunakan metode GADA  bahwa A4  (Data kriteria)  yang bernama adalah Rustan Julinta S.Pd  dengan Pendidikan “S1”, Psikoters “Baik” Pengalaman “YA”,  Senior “YA” dan Usia “34 Tahun” Sedangkan Nilai Indek  Gada yaitu 5,9233 dan Bobot yaitu 0,2188 adalah  alternatif  Terpilih sebagai Pelatih seni pada Sekolah Peruguran Harapan mandiri.