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JURIKOM (Jurnal Riset Komputer)
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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Rancang Bangun Aplikasi Inventory Barang Pada Tempat Food and Drink Berbasis Android Mohammad Taufan Asri Zaen; Yuliadi Yuliadi; Nora Dery Sofya; Hammid Muammar Robbani Al Faruq
JURIKOM (Jurnal Riset Komputer) Vol 8, No 3 (2021): Juni 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i3.3560

Abstract

TEMPAT FOOD AND DRINK is a micro, small and medium enterprise in the culinary field which has two outlets in Sumbawa. TEMPAT FOOD AND DRINK selling cold drinks and foods. Recording was done manually, by the Production Manager notes on a mobile phone or a piece of paper or by keeping a purchase note. In one day there can be 4 to 5 transactions in and out of goods with various types and the number of goods reached tens of pieces from the warehouse or shop carried out by the Production Manager. This research aims to make it easier for Production Managers to calculate the number of available items in a warehouse or store, make it easier to be able to reorder with an android-based inventory. Waterfall is a system development method used in this research. The Unified Model Language (UML) used for system design is use case diagrams, activity diagrams, sequence diagrams, and class diagrams and the programming language used is Java. The result of this research is an android-based inventory application for TEMPAT FOOD AND DRINK that could find out the number of available items. Application tested with whitebox testing shows success on each independent path of the existed flowgraph
Pengaruh Customer Relationship Management (CRM) Terhadap Loyalitas Pelanggan Pada Apotek Mega Mulia Ali Ibrahim; Tanti Hidayah; Alisia Silver Stone; Yona Saymona; Tea Anggelah; Siti Raisah Adilah
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3682

Abstract

In order to increase consumers, the pharmacy strategy is to provide services that match their needs and protect good ties with customers so that customer loyalty will be formed. To analyze the influence of aspects of customer identification, customer differentiation, budget interaction, and customization on customer loyalty at Apotek Mega Mulia is the aim of this research. Quantitative description with survey approach is the type of research in this research. The non-random method with accidental sampling was chosen by the researcher as a method of collecting information. Multiple liner is the analysis used. Based on the results of the information analysis, the data obtained by the value of Fcount 17.084 > Ftable 2.45. This shows that customer loyalty is significantly influenced by all factors. Of these four aspects, the calculated value for the customer differentiation aspect is 3,213 which is very large compared to the calculated value for the customer identification aspect of 2,283, customer interaction is 2,765, and customization is 2,226. The conclusion is that the aspects of Customer Relationship Management (CRM) are customer identification, customer differentiation, customer interaction, customization which together have a significant impact on customer loyalty at Mega Mulia pharmacies
Perbandingan Metode Canny, Prewitt, dan Sobel Pada Image Jenis-Jenis Alga Untuk Mendeteksi Tepi Citra Ari Hidayat
JURIKOM (Jurnal Riset Komputer) Vol 7, No 4 (2020): Agustus 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v7i4.2263

Abstract

An image is a projection of a three-dimensional field into a two-dimensional surface. Scane is defined as a collection of geometric three-dimensional objects and is usually compiled based on physical by natural law, whereas, edge detection is part of image processing. Edge detection is the process of producing a boundary for an object in an image. Edge detection has several operators such as Canny, Prewitt and Sobel operators. The edge detection process in the image on the comparison of edge detection of images in algae images includes the canny, prewit and sobel methods, the first step we must do is to input the image, using photos of algae measuring 300x300 pixels. Image type of algae that will be inputted with bmp. After we input the image, the system will take the pixel value from Red, Green and Blue (RGB).
Mendiagnosa Penyakit Mata Menggunakan Jaringan Saraf Tiruan dengan Menggunakan Metode Backpropagation dan Hopfield M Chairul Azmi; Sinar Sinurat
JURIKOM (Jurnal Riset Komputer) Vol 7, No 6 (2020): Desember 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v7i6.2592

Abstract

The eye is the most important organ of living things, especially humans. The main function of the eye is for the sense of sight. The eye has important parts such as the cornea, pupil, retina, sclera, eye lens and others. Eye health is an important thing for the health of the human body, because the eye is very helpful for carrying out daily activities. Everyday. Almost every human activity uses the eyes, for example reading, working, watching television, writing, driving, etc. so that many people agree that the eyes are the five most important senses. If the eye has eye disorders or diseases, it will have fatal consequences for human life. The problem faced in designing this system is the problem of diagnosing those affected by the disease. The neural network methods used are backpropagation and Hopfield to conclude which method has Hopfield to conclude which method has better accuracy in identifying which method has Hopfield. object discussed. In the backpropagation method, the pattern is trained through the first three phases, namely the forward propagation phase, the back propagation phase, and the weight change phase until the stopping conditions are met, while in the Hopfield method the training is carried out by doing a dot product between the input pattern vector and the vector. The Hopfield network is said to reach a maximum value if a stable pattern is recalled. Based on the results of trials on eye disease, it is known that the Hopfield method can recognize patterns faster than the backpropagation method with an average recognition time of 2.46 and 5.67 seconds.
Analisa Algoritma Noekeon Untuk Mengamankan File Video Milawati Milawati; Natalia Silalahi; Kennedi Tampubolon
JURIKOM (Jurnal Riset Komputer) Vol 8, No 3 (2021): Juni 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i3.2840

Abstract

Along with the times, human needs are increasing, including the need for information. Therefore, sending and storing files via electronic media requires a process that is able to guarantee the safety and integrity of the file. To ensure the safety and integrity of a file, it requires a file. The encryption process is carried out when the file is sent. This process will change the original file into a secret file that cannot be read. Meanwhile, the decryption process is carried out by the recipient of the sent file. The secret file received will be changed back to the original file. By means of this encryption, the original file will not be read by unauthorized parties, but only by the recipient who has decryption key. Currently, one of the methods used to secure files is to use a cryptographic system by encoding the contents of the information (plaintext) into incomprehensible content through an encryption process (enchiper), and to retrieve the original information, a encryption process is carried out ( dechiper). accompanied by using the correct key. However, in line with the development of encryption or cryptography, efforts to obtain this key can be done by anyone, including those who are not authorized to choose the information. Therefore, research on cryptography will always evolved to obtain ever stronger cryptographic algorithms, making attempts to illegally decode cryptography illegally become more difficult
Implementasi Data Mining dengan Algoritma Naïve Bayes Untuk Klasifikasi Kelayakan Penerima Bantuan Sembako Amat Damuri; Umbar Riyanto; Hengki Rusdianto; Mohammad Aminudin
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3655

Abstract

Poverty is one of the fundamental problems that is the center of attention of the government in a country. One of the important aspects to support the Poverty Reduction Strategy is the availability of accurate and targeted poverty data. Naïve Bayes is one method that can be used to classify data. The results of the classification carried out will later help aid managers to make decisions regarding the classification of determining the recipients of basic food assistance. There are two classes of predictions for the recipients of the basic food assistance, namely eligible and not eligible. The data used for prediction is sample data from XYZ village. In this research, the nave Bayes algorithm is implemented and analyzed using a web-based application. From the results of the evaluation using the confusion matrix, the resulting accuracy for 135 training data with 40 testing data and seven attributes used resulted in an accuracy of 86%, recall of 85%, and precision of 88%.
Data Mining untuk Klasifikasi Penderita Kanker Payudara Berdasarkan Data dari University Medical Center Menggunakan Algoritma Naïve Bayes Ibnu Ramadhan; Kurniawati Kurniawati
JURIKOM (Jurnal Riset Komputer) Vol 7, No 1 (2020): Februari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v7i1.1755

Abstract

The breast cancer sufferers data from the University Medical Center is data about patients suffering from breast cancer based on certain characteristics. This data has abundant information so that data mining can be done with the aim of digging deeper information which of course can be useful in the future. The data class itself is divided into 2 groups: recurrence and non-relapse classes. The technique used in this study is classification using the Naive Bayes algorithm. Naive Bayes is a simple probabilistic prediction technique based on the implementation of Bayes rules with a strong assumption of independence on features. The tool used to find accuracy values is RapidMiner 9.3. Data attributes consist of Class, Age, Menopause, Tumor-Size, Inv-Nodes, Node-Caps, Deg-Malig, Breast, Breast-Quad and Irradiant. In terms of methods, this study uses the CRISP-DM (Cross Industry Standard Process for Data Mining) method. This research is used as information in making decisions to determine policies taken in dealing with patients with breast cancer
Uji Akurasi Dataset Pasien Pasca Operasi Menggunakan Algoritma Naïve Bayes Menggunakan Weka Tools Muhammad Rahmadi; Fazriyanor Kaurie; Tuti Susanti
JURIKOM (Jurnal Riset Komputer) Vol 7, No 1 (2020): Februari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v7i1.1761

Abstract

Postoperative patient data sets taken for testing of this data are sourced from the UCI repository on the website https://archive.ics.uci.edu/ml/datasets/Post-Operative+Patient. Based on the website address, the study was conducted by Sharon Summers, School of Nursing, University of Kansas, Medical Center, Kansas City, KS 66160 and Linda Woolery, School of Nursing, University of Missouri, Columbia, MO 6521. Number of attributes from this data set there are 8 and 1 class, the attributes in question include; L-CORE (patient's internal temperature in C), L-SURF (patient's surface temperature in C), L-O2 (oxygen saturation in%), L-BP (last measurement of blood pressure), SURF-STBL (stability of the patient's surface temperature ), CORE-STBL (stability of the patient), BP-STBL (stability of the patient's blood pressure), COMFORT (perceived comfort of the patient at discharge, measured as an integer between 0 and 20) and ADM-DECS decision class / patient exit decision with information (I = patient sent to intensive care unit, S = patient ready to go home, A = patient sent to general hospital floor).
Implementasi Algoritma Hebb Rule Pada Diagnosa Penyakit Kolik Abdomen Pada Orang Dewasa Etty Diana Manurung; Berto Nadeak; Eferoni Ndruru
JURIKOM (Jurnal Riset Komputer) Vol 7, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v7i2.2086

Abstract

In the current era of globalization, the development of computers in the health sector has become increasingly rapid. Computerized systems are needed especially in handling a disease. Because sometimes doctors, nurses find it difficult to know the type of illness suffered by adults, children and the elderly without a good computerized system. Abdominal colic, for example. Abdominal colic is a disease where there is an unpleasant feeling in the oral cavity between the thigh border and the chest rib border. This disease is caused by several factors, for example, eating is already full, eating a lot of acid, spicy and also drinking lots of alcohol. And usually occurs in adults. Where symptoms are symptoms such as nausea, vomiting and noisy intestines and excessive farts. With these symptoms, which becomes a control that a person has abdominal colic disease. Therefore the author made a study of the implementation of the HB rule on the diagnosis of abdominal colic disease. Theebb rule algorithm is a simple and uncomplicated learning method in the process, with the aim of minimizing the risk of disease problems that occur in patients, especially adults
PERANCANGAN APLIKASI PEMBELAJARAN ANTRIAN SHORT JOB FIRST MENERAPKAN COMPUTER BASED INSTRUCTION Dini Elfita
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.v4i5.719

Abstract

Penggunaan media sebagai pendamping dalam proses pembelajaran semakin hari semakin dibutuhkan. Media pembelajaran adalah sebuah alat yang berfungsi untuk menyampaikan pesan pembelajaran. Pembelajaran adalah sebuah proses komunikasi antara pembelajar, pengajar, dan bahan ajar, komunikasi tidak akan berjalan tanpa bantuan sarana penyampai pesan atau media. Antrian merupakan suatu kedatangan pelanggan untuk mendapatkan pelayanan, menunggu untuk dilayani jika pelayanan masih sibuk atau mendapatkan pelayanan dan kemudian meninggalkan sistem setelah dilayani. Antrian dapat juga ditemukan dalam kehidupan sehari-hari seperti pada saat membeli tiket di loket, pada pengisian bensin, dan pada saat di pintu jalan tol. Short job first merupakan proses penjadwalan yang ada di ready queue dan akan dieksekusi berdasarkan burst time terkecil. Selain itu keunggulan pembelajaran dengan alat bantu komputer dapat membantu pengajar dalam memberikan pelajaran dan menyampaikan materi pelajaran kepada peserta didiknya. Penerapan metode Computer Based Instruction (CBI) dalam implementasi pembelajaran antrian ini akan membantu mengarahkan dan memaksimalkan proses belajar mengajar.

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