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JURIKOM (Jurnal Riset Komputer)

jurikom
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Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma

ISSN : 2407389X EISSN : 27157393 DOI : http://dx.doi.org/10.30865/jurikom.v7i1.1927

Core Subject : Science, Engineering,

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

JURIKOM (Jurnal Riset Komputer) membahas ilmu dibidang Informatika, Sistem Informasi, Manajemen Informatika, DSS, AI, ES, Jaringan, sebagai wadah dalam menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan Teknologi Informatika dan Komputer. 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 1,069 Documents

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Perancangan Aplikasi Terenkripsi Dengan Menerapkan Metode Secret Sharing Asmuth Bloom Evi Amelia Tarigan
JURIKOM (Jurnal Riset Komputer) Vol 5, No 6 (2018): Desember 2018
Publisher : STMIK Budi Darma

Conventional cryptographic algorithms cannot be applied to solve a plaintext (message) into several ciphertext pieces because conventional cryptographic algorithms can only produce a ciphertext from a plaintext (message) In this case, cryptography can be applied, namely Asmuth-Bloom's secret sharing. The methodology used to analyze and design the Asmuth-Bloom secret sharing cryptographic application software is the Waterfall methodology. This research is intended to produce a learning software that is able to display work processes from Asmuth-Bloom's secret sharing and applications from Asmuth-Bloom's secret sharing. The working procedure described by the software includes the process of forming keys, the process of forming shadows and the process of combining shadow.

Penerapan Data Mining Untuk Estimasi Penjualan Obat Berdasarkan Pengaruh Brand Image Dengan Algoritma Expectation Maximization (Studi Kasus: PT. Pyridam Farma Tbk) Nainel, Yane Laheroi; Buulolo, Efori; Lubis, Ikwan
JURIKOM (Jurnal Riset Komputer) Vol 7, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Data mining, often also called knowledge discovery in database (KDD), is an activity that includes the collection, use of historical data to find regularities, patterns or relationships in large data sets. The output of data mining can be used to improve decision making in the future. PT. Pyridam Frama Tbk is a multi-national company that produces pharmaceuticals. The problems that often occur at PT Pyrida Farma are estimation problems such as out of stock of goods at distributors, lack of labor, running out of raw materials at the factory. Another problem contained in the agency is that it does not yet have a system to predict the estimated drug sales each year, so we need an algorithm, the Expectation Maximization Algorithm. then with this made the Application of Data Mining for Estimating Drug Sales Based on the Effect of Brand Image. Expectation Maximization algorithm which is a method that supports in estimating or predicting sales target estimates for the coming period. Algorithm testing is done using SPSS and MYSQL software. From the results of research that has been done it can help the PT. Pyridam Farma to make it easier to predict drug sales estimates by using SPSS Software

Penerapan Metode Rough Set Untuk Persediaan Obat-Obatan Di RSUP Haji Adam Malik Medan Tifanny Anggraini; Melda Panjaitan
JURIKOM (Jurnal Riset Komputer) Vol 5, No 2 (2018): April 2018
Publisher : STMIK Budi Darma

Apotek RSUP H.Adam Malik is a distributor pharmacy for drug depots and cosmetics stores. Apotek RSUP H.Adam Malik still has a manual system in calculating the stock of medicines. Then the drug stock data is stored in Microsof Excel. To find out the amount of stock of drugs takes a long time because there is no picture of how much stock of drugs that exist (remaining) to avoid the occurrence of stock void. Supervision conducted on stocking of drug stocks. During this time only by monitoring the remaining drugs. The problem that happened in Apotek RSUP H.Adam Malik was not able to predict the stock of medicine for next year. In this final project, a system of drug stock prediction is made, which is information system designed to predict drug stock by using Rough Set method in pharmacy of H.Adam Malik MEDAN, to determine drug stock prediction. After this roughtset method is implemented this system can predict stock medicine at pharmacies RSUP.H.Adam Malik. From this application can be known picture prediction of drug stocks in the coming year and the results can be displayed in the form of reports, making it easier in analyzing and taking policy on drug stock.

Penerapan Metode Single Exponential Untuk Peramalan Volume Penjualan Minuman Kemasan (Studi Kasus: PT Coca Cola Amatil Indonesia Medan) Rika Safitri
JURIKOM (Jurnal Riset Komputer) Vol 6, No 1 (2019): Februari 2019
Publisher : STMIK Budi Darma

PT. Coca Cola Amatil Indonesia Medan is one company that is engaged in producing and distributing packaging beverage products to various regions in need. PT. Coca Cola Amatil Indonesia Medan is in desperate need of forecasting drug sales to increase profits and avoid the occurrence of fatigue or lack of bottled beverage supplies. The parameters or alpha used in forecasting the sales volume of packaged drinks are alpha (α) = 0.1, alpha (α) = 0.3, alpha (α) = 0.5, alpha (α) = 0.7, alpha (α) = 0.9. Single Expontial Smoothing makes a comparison in determining the alpha value, by searching for the alpha value in a trial / random manner to find alpha that has the minimum error with a search using the MSE (Mean Square Error) method. Then the forecasting results that have alpha with the least amount of error value that will be chosen as forecasting for the next period. Expontial Smoothing can only predict one period in the future. At the sample testing stage, it was found that the forecasting results of packaging beverage sales volume for 2017 were 11688380, this result was obtained from data from 2013 - 2016. For testing applications POMQM testing software was used.

APLIKASI PEMBELAJARAN MATRIKS UNTUK SEKOLAH MENENGAH ATAS (SMA) KELAS X MENGGUNAKAN METODE COMPUTER ASSISTED INSTRUCTION (CAI) Jojor Romauli Sihombing
JURIKOM (Jurnal Riset Komputer) Vol 3, No 1 (2016): Februari 2016
Publisher : STMIK Budi Darma

Proses belajar yang masih manual atau sering disebut konvensional membuat sebahagian peserta didik jenuh sehingga membuat perstasi belajar menurun.dan dari pengalaman penulis yang susah untuk menenerima pembelajaran matriks terkadang membuat penulis malas untuk belajar. Untuk itu model pembelajaran diperlukan untuk membantupeserta didik dalam memahami pembelajaran dengan cepat dan membuat siswa tertarik dalam mempelajarainnya. Ini adalah model pembelajaran berbantukan komputer yang disertai dengan metode CAI (Computer Assisted Intruction) dengan langkah tutorial dan latihan.Tutorial dan latihan ini menggunakan metode pembelajaran yang strategis dengan memberikan materi, latihan, tutorial, simulasi, Problem Solving, dan games. Tujuannya adalah untuk membuat siswa memahami konsep dan materi. Dalam proses pembelajaran ini diimplementasikan dengan Macromedia Flash Professional 8 untuk menghasilkan pembelajaran yang mudah dan interaktif. Kata Kunci : Matriks, Pembelajaran, Computer Assisted Intruction

Aplikasi Perhitungan Komponen Pasif Elektronika Berbasis Android Setiawan, Ade; Saraswati, Sandra Dewi; Bismi, Waeisul
JURIKOM (Jurnal Riset Komputer) Vol 7, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Increasingly rapid development of mobile phone whether it is the hardware that is used to using a keypad is now a touch screen, and from software are generally still use Symbian OS and Java, now almost everyone is switching to Android OS. This is because the Android OS, has many kinds of advantages in terms of application. Many who use android application which of them is to recite the Qur'an, read a book maulid, learn to cook, order food online even ordered transportation services. They all android phone users should be eased all his daily activities with its gadgets. For this reason the author tries to create android apps that are useful in science learning electronics. Certainly if we discuss the science of electronics, the elaboration widespread, with these authors restrict that application that the author is an application that addresses the basic electronic passive components. The target is this application can be used for elementary, junior high, high school, vocational school, even college course in accordance department. Not only was the application that the author made can be when used for the repair technician electronics devices. With this expected to manufacture android application with the title of the application of knowledge and calculation of passive components basic electronics based on Android can help the learning process in the world of education that certainly from the level of elementary, junior high, high school, vocational and higher education as well as a solution the use of gadgets smarter, precise and instructive

IMPLEMENTASI ALGORITMA APRIORI DATA MINING PENENTUA JUMLAH PENJUALAN PRODUK BISKUIT (STUDI KASUS: PT. SIANTAR TOP TBK MEDAN) Eko Syahputra
JURIKOM (Jurnal Riset Komputer) Vol 4, No 5 (2017): Oktober 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v4i5.688

Data transaksi penjualan yang terkumpul dan tersimpan dapat memberikan pengetahuan yang bermanfaat bagi manajemen perusahaan dalam melakukan usaha-usaha yang terkait dengan peningkatan penjualan misalnya dalam hal menentukan promo penjualan produk. Konsumen yang berbelanja biasanya menginginkan adanya promo produk karena dengan adanya promo, konsumen akan lebih tertarik untuk membeli dan merasa lebih hemat. Selain itu, penentuan produk promo harus tepat untuk membangun loyalitas konsumen terhadap suatu produk. Salah satu metode yang dapat digunakan untuk menganalisis pola perilaku belanja konsumen adalah analisis keranjang belanja atau Market Basket Analysis (MBA). Market basket analysis adalah salah satu cara yang digunakan untuk menganalisis data penjualan dari suatu perusahaan. Proses ini menganalisis buying habits (kebiasaan membeli) konsumen dengan menemukan asosiasi antar item-item yang berbeda yang diletakkan konsumen dalam shopping basket (keranjang belanja). Diharapkan dengan penelitian ini didapatkan sebuah kombinasi produk untuk promo yang dapat digunakan oleh pihak manajemen untuk meningkatkan penjualan produk-produk Biscuit Gorio-rio. Memperluas pemasaran produk karet dengan menempatkan produk-produk yang sering dibeli bersamaan oleh konsumen dalam katalog dengan tepat. Memudahkan dan menarik perhatian konsumen dalam mencari produk yang dibutuhkan.

Sistem Pakar Mendiagnosa Penyakit Flu Babi Menerapkan Metode Hybrid Case Based Ricki Avrizal
JURIKOM (Jurnal Riset Komputer) Vol 6, No 2 (2019): April 2019
Publisher : STMIK Budi Darma

Expert system is an Artificial Intelligence program that combines the knowledge base with inference machines. This is a part of high-level specialization software, which seeks to duplicate the functions of an expert in a particular area of expertise. The expert system for diagnosing peanut plant disease aims to diagnose swine flu in humans, so that appropriate treatment can be carried out and does not cause outbreaks in the community. Swine flu is a disease that is very dangerous to humans, because it can cause death. For this disease, a very fast diagnosis is needed because it can be transmitted between humans to animals or vice versa and this disease can spread to an age group. Medical implementers, especially doctors, are still very limited when compared to the population that continues to increase. This makes people suffering from swine flu difficult to consult with doctors, as a result of this swine flu disease is increasingly widespread due to slow handling. Of these problems raises the idea of making an application that can diagnose swine flu disease and can help people affected by swine flu to get fast treatment. The methodology used in making this application is the Hybrid Case Based method. which is a combination of case based reasoning (CBR) with rule based reasoning (RBR). Basically CBR is one method that uses the previous case solution to solve a new case. While the RBR technique checks the input data based on the rules that have been stored in the rule base, both of which have their advantages and disadvantages.

HUBUNGAN PELATIHAN DAN MOTIVASI TERHADAP PRODUKTIVITAS KERJA KARYAWAN PADA PT. PLATINA MULIA ABADI MEDAN Ferry Safriandi; Windy Aginta
JURIKOM (Jurnal Riset Komputer) Vol 3, No 1 (2016): Februari 2016
Publisher : STMIK Budi Darma

Training is an activity to improve a person's ability to work. Motivation termed as encouragement. Training and good motivation is a supporting factor to achieve productivity. Based on these descriptions, the formulation of the problem in this research is how the relationship between the training and motivation to work productivity of employees at PT. Platina Mulia Abadi Medan. The theory used in this research is the theory of human resource management related about the training, motivation, and employee productivity therein including the understanding, the importance, the factors that affect the benefits and objectives and indicators - indicators that affect the variables of training, motivation and employee productivity. The research method that I use in this study is a quantitative or qualitative. This type of research is descriptive quantitative nature of the research is associative, data collection methods used, questionnaires, study of documentation, interviews, and observations. The population in the study were 110 employees, and a sample obtained by using the formula slovin amounted to 52 employees. Data processing using software SPSS 23. Data analysis technique used is multiple linear regression, test the coefficient of determination (R2), partial test (t test), simultaneous test (F test). The results obtained by the formulation of regression Y = 22.943 + 0.582 X1 + 0.032 X2, so that the variable training and motivation can improve employee productivity. Results obtained determination coefficient R value (R-square) of 0.210 or 21%, this indicates that the training and motivation related to the employee's productivity by 21% is influenced by other variables not examined by the author. F test results obtained Fcount > Ftable (6.529 > 3.18), it can be concluded that the training and motivation simultaneously or jointly related to work productivity. T test results obtained to training tcount > ttable (3.546 > 1.67), it can be concluded training variable partially related to work productivity of employees at PT. Platina Mulia Abadi Medan, and the t test results obtained for motivation tcount < ttable (0.267 < 1.67), it can be concluded partial motivation variable is not related to work productivity of employees at PT. Platina Mulia Abadi Medan.

IMPLEMENTASI HARMONIC MEAN FILTER UNTUK MEREDUKSI NOISE PADA CITRA Hannan Saipuddin Siregar
JURIKOM (Jurnal Riset Komputer) Vol 4, No 5 (2017): Oktober 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v4i5.707

Reduksi noise merupakansuatu proses untuk mengurangi noise pada sebuah citra digital untuk meningkatkan kualitas citra yang merupakan langkah awal dalam citra digital. Dalam mengurangi noise tersebut diperlukan suatu metode untuk mereduksi noise yaitu dengan metode Harmonic Mean Filter. Citra yang memiliki noise biasanya terjadi karena kesalahan teknik dalam pengambilan citra atau karena citra sudah disimpan terlalu lama. Untuk mereduksi noise dibutuhkan suatu metode filter yang tepat agar citra yang dihasilkan sesuai dengan aslinya. Metode Harmonic Mean Filter merupakan filter non-linier yang hasilnya ditentukan sesuai pada pengurutan pixel yang mengisi area citra yang berada diruang lingkup filter dan kemudian mengganti nilai dari pusat pixel dengan nilai yang ditentukan dari hasil perangkingan. Metode Harmonic Mean Filter adalah salah satu metode untuk mereduksi noise. Salah satu yang dapat menyelesaikan masalah untuk mereduksi noise pada citra adalah metode Harmonic Mean Filter, dimana metode Harmonic Mean Filter merupakan pembersihan noise yang digunakan dalam proses pembersihan citra yang barupa program komputer yang berikan materi pembersihan citra.

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Editorial Team

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Contact Name Mesran

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Journal Mail Official jurikom.stmikbd@gmail.com

Editorial Address STMIK Budi Darma Jalan Sisingamangaraja No. 338 Simpang Limun Medan - Sumatera Utara

Location Kota medan, Sumatera utara INDONESIA

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Contact Name
Mesran

Contact Email
mesran.skom.mkom@gmail.com

Phone
+6282161108110

Journal Mail Official
jurikom.stmikbd@gmail.com

Editorial Address
STMIK Budi Darma Jalan Sisingamangaraja No. 338 Simpang Limun Medan - Sumatera Utara

Location
Kota medan,

Sumatera utara

INDONESIA