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INDONESIA
KLIK: Kajian Ilmiah Informatika dan Komputer
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : -     EISSN : 27233898     DOI : -
Core Subject : Science,
Computer Science & IT
Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informati dan komputer)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 388 Documents
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Reduksi Noise Salt And Pepper Pada Citra Pankromatik Menggunakan Metode Contraharmonic Mean Filter Sabry Mitra
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 2 (2021): Oktober 2021
Publisher : STMIK Budi Darma

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Abstract

A panchromatic image is an image that uses the entire spectrum visible to the eye from red to purple. The capture power of a panchromatic image recording device is almost the same as the sensitivity of the human eye. Taking images or pictures when using a camera often experiences noise or noise in the image caused by a bad camera lens or camera position when taking images so that it can cause noise in the image. resulting from. Noise or noise in the image greatly affects the clarity of an image where the image results are less clear when seen by the eye, therefore noise in the image must be removed so that the image can be clearer and have much better quality. The contraharmonic mean filter method is a filtering technique that works by replacing the intensity of a pixel with the average pixel value of the neighboring pixels, with the contraharmonic noise method in the image can be reduced so that the image is clearer than before. The contraharmonic method is very well used to remove noise in the panchromatic image so that the noise in the panchromatic image can be reduced by using the contraharmonic method which has a good role in reducing salt and pepper noise
Sistem Pendukung Keputusan Dalam Pemilihan Ketua Jurusan Dengan Metode Vikor Pada Sekolah Menengah Kejuruan(SMK) Swasta Budisatrya Medan Herni Herni
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 2 (2021): Oktober 2021
Publisher : STMIK Budi Darma

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Abstract

In the selection of department heads, elections are held once a year, namely every new academic year. Constraints or problems that occur in the selection of department heads are when the data collection process for prospective department heads only determines the criteria. While the requirements to become head of the department are not carried out. So that the selection of the head of the department is not optimal or efficient. With a computerized decision support system for selecting department heads, it can make it easier for us to make decisions, so that it can produce more accurate information than before. In addition, the criteria set must also be more varied and complete so that the selection of the head of the department is not bound by education and years of service but must also be supported by the personality and competence of the candidate for the head of the department. The solution was carried out in the selection of department heads to facilitate the process of selecting department heads at SMK Budisatrya Medan. so as to get optimal results in the election of the chairman of the Budisatrya Medan Vocational School. With a computerized decision support system for selecting department heads, it can make it easier for us to make decisions, so that it can produce more accurate information than before
Pemilihan Canvaser Terbaik Menggunakan Metode Analitical Network Process Di Indosat Ooredoo Ina Syafitri; Harly Okprana; Ilham Syahputra Saragih
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 2 (2021): Oktober 2021
Publisher : STMIK Budi Darma

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Abstract

Sales sales are one of the professions that spearhead the company in introducing its products to be known for and benefit to the public, as well as lead the prospects for a company meeting its established sales goals. In order for continuous sales conditions to be motivated to meet the company's established target of sales, appreciation should be given in reward for gains. In order for the reward to be conducted with objective and targeted objectives, it is necessary for a decision support system that helps indosat ooredo city of stabilizers to determine which sales are the best. In view of the fact that sales restructurization will not be done properly, it will create a stigma on both the management and the spirit and motivation of sales and retail sales. The research aims to identify the most influential criteria for best sales suppressors. The weight and priority of the criteria tested by the analytical network process (anp) are also intended to generate intermutual relationships between those criteria beyond the criteria for prioritizing alternatives.
Analisis Penerapan MOORA Dalam Penyeleksian Peserta Olimpiade Catur dengan Metode Pembobotan Rank Order Centroid Andreas Gerhard Simorangkir; Kiki Andika; Mesran Mesran
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 2 (2021): Oktober 2021
Publisher : STMIK Budi Darma

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Abstract

SMA Negeri 1 Tanjung Morawa is one of the leading public high schools in Deli Serdang Regency which always participates in the Olympics, especially the chess Olympiad. In the selection of Chess Olympiad participants, there are problems. The problem faced in this research is that the principal and teachers at SMA Negeri 1 Tanjung Morawa are still selecting Chess Olympiad participants based only on criteria, namely the accuracy possessed by students, even though there are several criteria that can be considered by the school in selecting students. prospective chess Olympiad participant. These criteria are accuracy, skills, strategy, achievement, class, time, and size. In order to assist the school in selecting prospective chess Olympiad participants, an SPK is needed. The ROC and MOORA methods are one of the methods that can be applied to solve this problem, which can provide assistance to the school in determining the feasibility of selecting chess Olympiad participants. As for the result of the research on the selection of the best Chess Olympiad Participants at SMA Negeri 1 Tanjung Morawa, the best alternative is A22 with a score of 0.244 in the name of "Andre"
Sistem Pendukung Keputusan Pengangkatan Staff Development Program (SDP) Pada Bank Mandiri Menggunakan Metode Promethee II Safrizal Barus
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 3 (2021): Desember 2021
Publisher : STMIK Budi Darma

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Abstract

Banyaknya penempatan sumber daya manusia pada jabatan-jabatan yang tidak sesuai menjadikan bagian tersebut kurang potensial dalam melakukan kinerjanya yang berdampak pula pada produksi yang dihasilkan. Permasalahan dari sebuah bagian akan berpengaruh juga dibagian lain pada proses pengangkatan jabatan yang masih dilakukan secara manual yang akan memakan banyak waktu dan kurang cepat dan tepat, sehingga tidak akuratnya dalam suatu pengangkatan jabatan Staff Development Program(SDP) bagi para karyawan. Adapun solusi terhadap permasalahan tersebut yaitu dengan membangun suatu sistem pendukung keputusan untuk membantu dalam melakukan pengangkatan SDP dengan tepat. Dengan menggunakan sistem pendukung keputusan dapat memecahkan masalah yang dihadapi perusahaan. Adapun metode yang dipilih untuk mendukung pemecahan masalah diatas adalah PROMETHEEII. Hasil yang diperoleh dari sistem pendukung keputusan ini menunjukan bahwa dengan kemajuan ilmu pengetahuan dan teknologi dapat membantu perusahaan dalam menentukan pilihan yang tepat sesuai dengan pertimbangan dan perhitungan yang benar. Sistem Pendukung Keputusan ini dapat memberikan solusi atau penyelesaian terhadap permasalahan yang ada pada Bank Mandiri
Implementasi Algoritma Crochemore Perrin Pada Aplikasi Notasi Gamelan Berbasis Android Tawar
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 3 (2021): Desember 2021
Publisher : STMIK Budi Darma

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Abstract

Gamelan sendiri termasuk dalam jenis musik yang dimainkan secara bersama-sama (group) dengan alat musik lain untuk menciptakan alunan suara yang merdu. Bahkan dalam bermain gamelan juga mempunyai struktur dan aturan tersendiri yang diperlukan pemahaman dengan notasi atau disebut juga dengan not (kunci nada). Not merupakan harmonisasi dan kombinasi nada-nada yang dihasilkan ketika dimainkan secara bersamaan, not digunakan untuk mengiringi suatu lagu. Algoritma string matching merupakan pencocokan string yang bersifat mencari sebuah string yang terdiri dari beberapa karakter (pattern) dalam jumlah teks yang besar. Untuk aplikasi notasi gamelan berbasis android dirancang menggunakan algoritma crochemore perrin. Algoritma crochemore perrin juga sering disebut algoritma Two Way algorithm. Algoritma ini memfaktorkan pattern menjadi dua bagian. Fase pencocokan pada algoritma ini terdiri dari dua bagian, pertama mencocokkan karakter pattern dari kiri kekanan, lalu mencocokan pattern kiri dari kanan ke kiri. Dengan menggunakan algoritma crochemore perrin pencarian notasi akan dilakukan dengan cara memasukan judul lagu atau penyanyi dikotak pencarian, maka akan muncul notasi lagu yang dimaksud
Sistem Pakar Mendiagnosa Penyakit Microcephaly Menggunakan Metode Rete Uliana Tarigan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 4 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v2i4.282

Abstract

An expert system for diagnosing Microcephaly is one of the important things considering the disease that needs to be observed so that this disease is easy to attack children. The problem that became the starting point in making this thesis is how to solve the problem using the Rete method. From the analysis, it can be seen that the expert system for diagnosing Microcephaly can be done using the Rete method using a computer program that suits the needs, so that users can get better diagnostic results more easily. With the existence of an expert system for diagnosing Microcephaly, it is hoped that it will make it easier to see, the symptoms, causes and results of the diagnosis of Microcephaly. In designing this diagnosis using Microsoft Visual Basic 2008
Sistem Pendukung Keputusan Menentukan Kepala Peneliti Pada Riset Pengembangan Tebu Dan Tembakau Deli (RTT) Sampali Menggunakan Metode Promethee II Yeni Ramadhani; Maringan Sianturi
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 3 (2021): Desember 2021
Publisher : STMIK Budi Darma

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Abstract

The decision support system is a computer-based system consisting of components, including language system components, knowledge system components and problem processing system components that interact with one another. Decision support system is an interactive system, which helps decision makers through the use of data and decision models to solve semi-structured and unstructured problems. Promethee is a method of determining the order or priority in MCDM (Multi Criterion Decision Making) or multiple criteria decision making which is a very important discipline in making decisions on a problem that has more than one criteria (Multi Criteria). The decision support system using the promethee method is able to analyze the criteria and alternatives being compared. The results showed that the use of promethee as a decision support system to determine the head of the researcher at the Deli Sugarcane and Tobacco Development Research (RTT) Sampali could assist the company in determining the head of the researcher with a faster and more effective multi-work weighting and selection process
Sistem Pendukung Keputusan Penerimaan Beasiswa Berprestasi Pada Perguruan Tinggi Swasta Menerapkan Metode Waspas Zulkifli Zulkifli
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 3 (2021): Desember 2021
Publisher : STMIK Budi Darma

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Abstract

Scholarship recipients at the Regional Education Council are carried out by giving scholarship receipts still using a simple method so that it can lead to data manipulation. Those who should receive scholarships may not be on target due to errors in calculating criteria that are less effective. For this reason, a decision support system is needed to assist the calculation of existing alternatives and the method used in the calculation is the Wheight Aagreated Sum Assessment Product or also known as WASPAS. This system is a Decision Support System (DSS) which was built using the WASPAS method and designed using Microsoft Visual Studio 2008. The research carried out has succeeded in developing the system with all its advantages and disadvantages so that it can be utilized and it can be concluded that the research problems that have been carried out previously. According to the author, the wasapas method can answer the problems that the writer is researching, can compare the rankings and help the selection team in comparing the rankings obtained to select outstanding scholarships at the Regional Education Council Office of Subulussalam City.
Penerapan Metode Naive Bayes Dalam Menentukan Tingkat Kenyamanan Pada Rumah Sakit Terhadap Pasien Masduki Nizam Fadli; Irfan Sudahri Damanik; Eka Irawan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 3 (2021): Desember 2021
Publisher : STMIK Budi Darma

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Abstract

The level of security of a hospital is an important value that must be considered, because it can support a faster healing process for patients. To maintain the quality of comfort, doctors, nurses along with caricature in the hospital must always maintain the criteria determined by the hospital so that the better the value of the service. Understanding Comfort is a condition of feeling someone who feels comfortable based on the perception of each individual. Whereas comfort is a condition that has fulfilled the basic human needs of an individual nature due to several environmental conditions. In a large Indonesian dictionary, comfortable means fresh, healthy, delicious, cool, delicious. Naive Bayes is an algorithm of Data Mining where the nature of Naive Bayes itself is a classification which has two stages in the process of text classification, namely the training stage and the testing / classification stage. During the training phase, the process of analyzing the sample documents is in the form of vocabulary selection, which is a word that might appear in the collection of sample documents, as far as possible to be a representation of the document. Next is determining the prior probabilities for each category based on document samples

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