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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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SISTEM PAKAR DIAGNOSA ANOREKSIA NERVOSA MENERAPKAN METODE CASE BASED REASONING Sri Wahyuni Nasution; Nelly Astuti Hasibuan; Putri Ramadhani
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.v1i1.472

Abstract

Pemikiran yang terbentuk akibat pengaruh lingkungan dapat memicu anoreksia nervosa diantaranya berupa iklan dimedia massa sehingga masyarakat sangat terpengaruh terutama pada kalangan remaja. Minimnya pengetahuan dan kepedulian terhadap keseimbangan gizi pada tubuh menyebabkan munculnya gangguan Anoreksia Nervosa. Tujuan penelitian untuk melakukan diagnosa anoreksia nervosa dan memberikan solusi mengenai kondisi yang dialami melalui aplikasi sistem pakar. Metode Case Based Reasoning dapat memberikan kemudahan dalam melakukan diagnosa serta memberikan hasil diagnosa yang lebih akurat berdasarkan kejadian terdahulu dan dapat direvisi kembali dalam memecahkan permasalahan yang baru. Berdasarkan hasil pengujian dengan perbandingan antara hasil diagnosa sistem dan ahli gizi memiliki kemampuan penyelesaian masalah dari penderita dengan mendapatkan hasil sehingga sistem ini dapat dikatakan layak untuk digunakan
IMPLEMENTASI ALGORITMA C5.0 PADA KELULUSAN PESERTA UJIAN KEMAHIRAN BERBAHASA INDONESIA (UKBI) PADA BALAI BAHASA SUMATERA UTARA Mauhati Pardede; Efori Buulolo; Eferoni Ndruru
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.v3i1.1569

Abstract

The development of the modern era has made many people more influenced in using foreign languages in their daily lives. Almost every day, the people especially the generation in this era understand more about the use of foreign languages than the language from their own country. One of the efforts to strengthen the position of Indonesian is carried out by the Balai Balai Bahasa by developing an Indonesian language proficiency test tool called the Indonesian Language Proficiency Test (UKBI). The Indonesian Language Proficiency Test (UKBI) was assessed based on several factors of the participant's ability to listen, respond to the rules, read, write and speak. So far some of the UKBI participants at the North Sumatra Language Center have failed or failed, one of the contributing factors is that the assessment was not fulfilled. To overcome the problems above, a method is needed. The technique that can be utilized in the process of processing data is the classification with the C5.0 algorithm. C5.0 algorithm is a classification algorithm applied to decision tree techniques that are processed using information gain. In selecting attributes for object breakers in several classes, the attribute that produces the greatest information gain with the highest information gain value will be chosen as the parent of the next node.Keywords: Indonesian Language Proficiency Test, C5.0 Algorithm
IMPLEMENTASI METODE DEMPSTER SHAFER PADA SISTEM PAKAR DIAGNOSA PENYAKIT SEPSIS Ade Ayu; Nelly Astuti Hasibuan
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.v1i1.488

Abstract

Sepsis merupakan masalah kesehatan yang perlu ditangani dengan baik karena memiliki angka kematian yang cukup tinggi. Sistem kekebalan tubuh yang lemah akan beresiko lebih tinggi untuk mengalami Sepsis. Infeksi yang disebabkan oleh virus dan bakteri, keduanya dapat masuk ke organ tubuh melalui luka kecil atau berasal dari gangguan kesehatan serius lainnya seperti pneumonia dan meningitis. Berhubung karena sepsis merupakan penyakit yang langka dan susah untuk ditemukan seorang pakar, Maka dari itu dirancang sebuah alat bantu dengan menggunakan sistem pakar untuk mendiagnosa dini penyakit sepsis dari gejala yang dirasakan oleh user. Sistem pakar merupakan tehnik penyelesaian masalah yang sesuai dengan tehnologi saat ini untuk membantu diagnosa dini penyakit yang diderita oleh user. Yaitu dirancang sebagai sarana konsultasi untuk menghindari penyakit berbahaya yang mengakibatkan kematian karena keterlambatan penanganan dini. Sistem pakar menghasilkan kemungkinan penyakit berdasarkan nilai kepercayaan dari gejala yang dirasakan oleh user. Nilai kepercayaan tersebut adalah hasil dari perhitungan dengan menggunakan metode dempster-shafer. Metode Dempster-Shafer merupakan metode ketidakpastian untuk menghasilkan diagnosis yang akurat. Dikarenakan adanya penambahan atau pengurangan fakta yang baru berupa informasi gejala dan penyakit.  Metode ini memberikan nilai kepercayaan kepada para pakar dalam pengetahuan yang dimilikinya. Penelitian ini bertujuan untuk mengimplementasikan metode dempster-shafer mendiagnosa penyakit Sepsis. Berdasarkan hasil pengujian metode dempster-shafer, dapat disimpulkan bahwa nilai akurasi yang dihasilkan sebesar 84 %.
PENERAPAN ALGORITMA BOYER MOORE PADA AUTOMATIC LINK PADA CONTENT WEBSITE Didik Didik; Guidio L Ginting
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.v3i1.1587

Abstract

Building a website requires a good plan so that the website can be used effectively and efficiently. The stages carried out in building a website are started by collecting data then studying the data, then planning is carried out which is then poured in the form of a design, then the design is developed and carried out. In building a website, it certainly has its own problems, such as interface display, data processing, performance, interaction with users, and others. To build a website that has a lot of menus, is a problem for builders, because the space to place a menu will be very limited if it is aimed at devices that have a small display such as a cellphone. The algorithm in the string matching method used in this study is the Boyer Moore algorithm, this algorithm is considered the most efficient general application algorithm, the Boyer Moore algorithm includes the most efficient string matching algorithm.Keywords: String Matching Search, Boyer Moore
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN INTERNET SERVICE PROVIDER MENERAPKAN METODE ELIMINATION AND CHOICE TRANSLATION REALITY (ELECTRE) Ismay Dahanum; Mesran Mesran; Taronisokhi Zebua
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.v1i1.506

Abstract

Internet users find it difficult to compare and know the quality of services provided by Internet Service Providers (ISP), most Internet users choose an Internet Service Provider (ISP) based on the experience and advice of other users. This is not necessarily appropriate to the needs, because a valid decision must be considered and taken into account from the criteria available to obtain a decision. Decision support systems are designed to help decision making and are interpreted as a datadriven model system that has procedures in data processing and data processing results used to make a decision. Therefore, with the construction of decision support systems can help Internet users in making more efficient decisions. The method used in decision support systems is Elimintaion And Choice Translation Realty (ELECTRE). with the establishment of an Internet Service Provider (ISP) decision support system by applying the ELECTRE method that is expected to assist internet users in determining the Internet Service Provider (ISP) that suits their needs.
PEMILIHAN KEPLING TELADAN MENERAPKAN METODE RANK ORDER CENTROID (ROC) DAN METODE ADDITIVE RATIO ASSESSMENT (ARAS) DI KECAMATAN MEDAN AREA Liza Handayani; Muhammad Syahrizal; Kennedi Tampubolon
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.v3i1.1638

Abstract

The head of the environment is an extension of the head of the village head in assisting or providing services to the community both in the administration of administration in the village and to other problems. It is natural for a kepling to be appreciated for their performance during their special tenure in the kecamatan field area. Previously, the selection of a dipling in a sub-district was very inefficient and seemed unfair for this exemplary selection to use a system to produce an accurate value, and no intentional element. To overcome the process of selecting an exemplary kepling that experiences these obstacles by using an application called a Decision Support System. Decision Support System (SPK) is a system that can solve a problem, and this system is also assisted with several methods, namely the Rank Order Centroid (ROC) method that can assign weight values to each of the criteria based on their priority level. And to do the ranking or determine an exemplary set using the Additive Ratio Assessment (ARAS) method, this method provides decision making that takes decisions based on ranking or the highest value.Keywords: Head of Medan Area Subdistrict, SPK, Centroid Rank Order, Additive Ratio Assessment (ARAS).
ANALISA KLASIFIKASI DATA MINING PADA TINGKAT KEPUASAN PENGUNJUNG TAMAN HEWAN PEMATANG SIANTAR DENGAN ALGORITMA Dinda Nabila Batubara; Agus Perdana Windarto
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.v3i1.1664

Abstract

The purpose of the study is to provide recommendations for the satisfaction of visitors to the animal park using the C4.5 datamining classification data laminating technique. Data sources were obtained from interviews with the management of the Pematangsiantar City Animal Park and the giving of questionnaires to random visitors as many as 150 people. Attributes used as parameters for assessing visitor satisfaction include: Ease of access to locations (C1), Infrastructure Facilities (C2), Parking lots (C3), Security (C4), Service Officers (C5) and Cleanliness (C6). The results of processing the C4.5 method using the help of RapidMiner software are the attributes of infrastructure (C2) and service officers (C5) being the attributes that most influence the level of satisfaction of visitors to the park. And the performance data shown on the suitability of the C4.5 method with the satisfaction of visitors to the animal park is 95%Keywords: Datamining, Classification, C4.5 Method, Visitors, Satisfaction, Animal Park
IMPLEMENTASI SISTEM INFORMASI PERAMALAN STOK JENIS KOMODITI TANAMAN PANGAN DI ACEH UTARA Angga Pratama; Salamah Salamah
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.v2i1.945

Abstract

Commodity types of food crops are one of the sectors that are very important for food security, and this is very influential in maintaining food security in Indonesia. Food crops commodities in northern Aceh that have commodities include rice, soybeans, corn, peanuts, green beans and so on. The problem now is the difficulty of finding information which is an obstacle to analyzing the stock model of the types of food crops. This commodity plays an important role in people's lives in the next few years. There is a forecasting information system to be able to see all the information on the stock inventory report of food crop commodities in the future. The Double Exponential Smoothing model is very appropriate because the behavior of the commodity type data is seasonal (per month) and trend (increase). With annual data reaching 47716.14 tons for rice plants, for soybeans reached 6141.81 tons. Estimated forecast for January-December. On average every January 32600, February 32300, March, 31200, April 29500, May 38000, November 29500, December 35800 for the following year experienced an increase. Next to the value of Set Alpha 0.2. The period of one for the value of'tt is 32600, the value of s''t is 32600 for at is 32600, for the value of bt is 0, then in the second period of value, the'tt is 32540, the value of s''t is 32588 for at is 32492, for the value of bt is -12. Furthermore for the period 25, Shout is 35360, the value of no is 33228.94109 for at 37491.05891, for the value of bt is 532.7647285, and for the period 26 the last is Shutter is 33340, the value is 33251.15287 for at is 33428.84713, for the value of bt is 22,21178279. The next prediction result of rice commodity 33451.05 and mape error value is 0.334216418% with alpha set value 0.2.Keywords: Information System, DES, Type of Food Crop Commodity
ANALISIS MODEL NAIVE BAYES UNTUK IDENTIFIKASI PENGGOLONGAN DAYA LISTRIK DI KOTA LHOKSUMAWE Muhammad Sadli; Fajriana Fajriana; Wahyu Fuadi; Ermatita Ermatita; Iwan Pahendra
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.v2i1.971

Abstract

Electricity subsidy is provided for all 450 VA power household customers and 900 VA power household customers who are poor and disadvantaged. However, there are many facts that household customers with 450 VA power are capable and 900 VA power household customers consist of capable households, boarding houses or luxury rented. Households are able to use more electricity than poor households. This paper describe to the identification of household customers' electrical power in the Lhokseumawe city to facilitate PLN in classifying customer power by using the Naive Bayes method. Naive bayes value variables used in this study are: monthly income, highest diploma, last job, house area, subscription fee and government registered household. The classification of household customer power is grouped into three categories, namely low (450 VA down), medium (900 VA) and high (above 1300 VA).. Based on household customer data that is used as training data, the Naive Bayes method is able to classify the customer data tested. So the Naive Bayes method successfully predicts the magnitude of the probability of household electrical power with an accuracy percentage of 80%.Keywords: Electricity, Naive Bayes,  CBS, low birth weight, subsidy
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PENERIMA BANTUAN OPERASIONAL PENYELENGARAAN (BOP) PAUD (PENDIDIKAN ANAK USIA DINI) MENERAPKAN METODE ELECTRE (STUDI KASUS : DINAS PENDIDIKAN KABUPATEN SIMALUNGUN) Putri Sianturi; Mesran Mesran; Putri Ramadhani; Nofri Wandi Al-Hafiz
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.v1i1.467

Abstract

Early Childhood Education (PAUD) is one of the government programs in guidance aimed at children from birth up to the age of six that is done through the provision of education to support the growth and development of physical and spiritual so that children have readiness in entering further education. The application of ELECTRE (Elimination And Choice Translation Reality) is aimed at selecting PAUDs eligible for government assistance. Determination of policies taken as the basis for decision-making must use criteria that can be clearly and objectively defined.

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