cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Asep Saepulrohman
Contact Email
komputasi@unpak.ac.id
Phone
+62251-8363419
Journal Mail Official
komputasi@unpak.ac.id
Editorial Address
Jalan Raya Pakuan PO. BOX 452, Bogor, Indonesia
Location
Kota bogor,
Jawa barat
INDONESIA
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Published by Universitas Pakuan
ISSN : 16937554     EISSN : 26543990     DOI : 10.33751
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Scientific Journal of Computer and Mathematical Science (Jurnal Ilmiah Ilmu Komputer dan Matematika) is initiated and organized by Department of Computer Science, Faculty of Mathematics and Science, Pakuan University (Unpak), Bogor, Indonesia to accommodate the writing of research results for the academics and institutions other. Komputasi journal was originally launched in 1992, and published online since 2007 with ISSN version p-ISSN: 1693-7554 and version of the daring of e-ISSN: 2654-3990 in 2018 (SK No. 0005.26543990/JI.3.1/SK.ISSN/2018.10-15 October 2018 (starting Vol. 16, No. 1, January 2019). The journal is a publication media for original manuscripsts related information technology development and science written in Bahasa Indonesia which is published twice times a year (January and July).
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol 16, No 2 (2019): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika" : 6 Documents clear
PENENTUAN POLA SEKUENSIAL DATA TRANSAKSI PENJUALAN MENGGUNAKAN ALGORITMA SEQUENTIAL PATTREN DISCOVERY USING EQUIVALENT CLASSES (SPADE) Diki Andika Saputra; Eneng Tita Tosida; Fajar Delli W
KOMPUTASI Vol 16, No 2 (2019): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (514.168 KB) | DOI: 10.33751/komputasi.v16i2.1621

Abstract

Transaction data is customer or customer data at a commercial or non-commercial institution that contains the consumer id, transaction time, and transaction items. From transaction data such as supermarket transactions, sequential patterns can be found to determine the interrelationship between items or items. Data if further processed or analyzed will produce information or knowledge that is important and valuable as a support in decision making. This study aims to determine the consumption patterns owned by customers and provide information that can be used in determining the layout of new store shelves. The SPADE algorithm is an algorithm for finding sequential patterns to break down the main problem into sub-problems that can be solved separately. Based on the result obtained it can be concluded that the application of the SPADE algorithm has the highest minimum support value that can still form maximal frequent sequences is 29%. The highest minimum support value of the SPADE algorithm is 0.2% with a maximum minimum confidence value of 81% and the number of rules formed is 1,118 Rule, but confidence is taken 60% up so that there are only 15 Rule. Whereas the Apriori algorithm has the highest minimum support value that can still form the maximum frequent sequences is 25%. The highest minimum support value of the apriori algorithm which can still form a rule is 0.3% with a maximum value of 88% minimum confidence and the number of rules formed as many as 494 Rule, but confidence is taken 60% up so that there are only 29 Rule.
SISTEM INFORMASI DARURAT PADA MINI MARKET MENGGUNAKAN MIKROKONTROLER ESP8266 BERBASIS INTERNET OF THINGS Anugrah Deris
KOMPUTASI Vol 16, No 2 (2019): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (333.278 KB) | DOI: 10.33751/komputasi.v16i2.1622

Abstract

Increasing levels of crime have encouraged instrumentation and technology systems to deal with and expose crime cases. Emergency information systems on the mini market use ESP8266 microcontroller and have been built and analyzed to overcome this on the basis of the Internet of Things. Signals generated from this tool at shopping centers provide emergency information on the Website of the security unit. The results of the system test produced 3.6 seconds delay for power supply connections to NodeMcu. while the delay to calculate the Transmission (response signal) of the Security Unit, and the delay for the time the alarm sounds is 0 seconds. In this system, the website can receive information in the form of coordinate points and Minimarket addresses
PERANCANGAN SISTEM PAKAR PENENTUAN USAHATANI BUDIDAYA PADI MENGGUNAKAN METODE CERTAINTY FACTOR BERBASIS ANDROID Gesa Rizky N; Sri Setyaningsih; Asep Saepulrohman
KOMPUTASI Vol 16, No 2 (2019): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (254.826 KB) | DOI: 10.33751/komputasi.v16i2.1623

Abstract

Rice is a staple food in several countries of Southeast Asia including Indonesia, rice is the main commodity that acts as the fulfillment of basic needs of carbohydrate and protein. As one of the big rice producer and consumer countries, the increase of rice production is very influential to the state economic condition, effective and efficient national rice production will be achieved if cultivation technology is applied in specific location, in accordance with environmental conditions and farmers. However, the number and ability and extension agents are very limited to serve farmers whose land is diverse. The existence of tools to determine the proper way of cultivating rice-specific locations, easy to use and disseminated will help solve many problems above, The tool used in this study is artificial intelligence is the expert system to help solve the problem due to the limited number of experts or extension workers, many methods used in expert system one of them is certainty factor method which is a method that defines the size of certainty of a fact or rule, to describe the level of expert belief to a problem encountered, by using certainty factor this can level of expert beliefs with android based.
SIMULASI PERAMBATAN GELOMBANG ELEKTROMAGNETIK PADA KRISTAL FOTONIK 2D MENGGUNAKAN METODE FINITE DIFFERENCE FREQUENCY DOMAIN Adly Maulana Suherman; Teguh Puja Negara; Hendradi Hardhienata; Husin Alatas
KOMPUTASI Vol 16, No 2 (2019): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (453.567 KB) | DOI: 10.33751/komputasi.v16i2.1619

Abstract

Numerical simulations on two-dimensional photonic crystals with defects were analyzed using the Finite Difference Frequency Domain (FDFD). This approach consists of Maxwell's formulation that uses Central Finite Difference to place fields and materials at discrete points of the Yee grid, so that the matrix wave equation is obtained in the form of column vectors. Absorbent boundary conditions use Perfectly Matched Layer (PML) with fictitious magnetic conductivity to shed incoming waves at the edge of the domain calculation. Photonic crystals can be assumed to be a periodic lattice of dielectric material that produces the phenomenon of photonic band gap (PBG). The results of FDFD simulations are compared with the literature with a difference of 0.056. This small difference value means that this method is good enough to analyze PBG phenomena. For point defects and the accumulation of electromagnetic waves, linear defects are investigated and analyzed with spectral responses. Insertion of defects in photonic crystals will produce a photonic pass band (PPB). The simulation results show that PPB depends on the angle of arrival vector, material permittivity, and width of the defect structure.
SISTEM DETEKSI KERUSAKAN BEARING RODA PADA MOBIL MENGGUNAKAN SENSOR PIEZOELECTRIK BERBASIS ANDROID M Cecep Zaelani
KOMPUTASI Vol 16, No 2 (2019): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (265.169 KB) | DOI: 10.33751/komputasi.v16i2.1624

Abstract

Bearing damage to the car's wheels has prompted several studies to create a system capable of detecting damage to the wheel bearings. To overcome this problem, a wheel bearing damage detection system has been built and tested using a piezoelectric sensor. The results showed that piezoelectric sensors detect bearing damage to the wheels based on their frequency, which is 0 - 5 Hz is good, 6-30 Hz is not good, and 31 - 355 Hz is badly damaged. Data can be displayed in realtime via Android. The results of this study can be used at dealers or car repair centers.
MODEL ROBOT TROLI OBJECT FOLLOWER MENGGUNAKAN PIXY CMUCAM5 BERBASIS ARDUINO UNO 328P Hadian Adam Herman; Andi Chairunnas
KOMPUTASI Vol 16, No 2 (2019): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (420.786 KB) | DOI: 10.33751/komputasi.v16i2.1620

Abstract

Object Follower Robot is a robot that can follow the object's motion where the object will walk will be followed. The control system uses a motor driver and two dynamos to run the robot based on the color of the object detected by the Pixy CMUCAM5 camera so that it can walk following the object. This system depends on hardware and software. The hardware uses the Arduino Uno 328P as the microcontroller, the ultrasonic sensor as a distance detector, the Pixy CMUCAM5 camera as the color detector of the object, and the HX711 weight sensor as a weighing counter for shopping. As well as software using color filtering to read colors rather than objects, the results issued from color filtering are what make the conversion as a robot control system. The results of the test are to identify how the robot can follow the object, how far the robot can follow the object, and how long the robot is able to walk if the robot is turned on continuously. So it can be seen the extent to which the ability of the robot can be used

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2019 2019


Reset
Filter By Issues
All Issue Vol 20, No 2 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 2 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 1 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 18, No 2 (2021): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 18, No 1 (2021): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 17, No 2 (2020): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 17, No 1 (2020): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 16, No 2 (2019): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 16, No 1 (2019): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 15, No 2 (2018): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 15, No 1 (2018): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 14, No 2 (2017): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 14, No 2 (2017): JURNAL KOMPUTASI Vol 14, No 1 (2017): JURNAL KOMPUTASI Vol 14, No 1 (2017): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 13, No 2 (2016): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 13, No 2 (2016): JURNAL KOMPUTASI Vol 12, No 2 (2015): KOMPUTASI Vol 12, No 2 (2015): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 9, No 1 (2012): Komputasi Vol 9, No 1 (2012): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 8, No 1 (2011): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 8, No 1 (2011): KOMPUTASI Vol 7, No 1 (2010): Vol. 7, No. 1, Juli 2010 Vol 6, No 11 (2009): Vol. 6, No. 11, Januari 2009 Vol 5, No 1 (2008): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 4, No 8 (2007): Vol. 4, No. 8, Juli 2007 Vol 4, No 7 (2007): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 3, No 6 (2006): Vol. 3, No. 6, Juli 2006 More Issue