cover
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
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).
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Articles 8 Documents
Search results for , issue "Vol 19, No 2 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika" : 8 Documents clear
The Effect of Force Ratio Multiplier on A Control System for Surfing Problem Simulation Reza Rendian Septiawan; Agus Virgono; Umar Ali Ahmad; Prayitno Abadi; Mas'ud Adhi Saputra
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 2 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v19i2.5260

Abstract

A surfing problem is a control problem of the surfing board to maintain its position on top of an ocean wave as long as possible. There are some physical and mathematical problems regarding a surfing problem that have not yet been solved. One of them is on translating a target inclination problem from an ordinary differential equation (ODE) control system to the inclination control system via the distribution of a surfer’s weight. To move the surfing board swiftly, a correct value of the multiplier, which is notated by σ, is needed on the weight distribution system. In this work, an investigation has been done on the effect of the multiplier in an attempt to help moves the surfing board fulfils the target inclination angle needed by using a smoothed particle hydrodynamics (SPH) simulation. The result from this work shows that the best value for the multiplier is σ=10 that gives the smallest average positional error for some variations of a given target position. This work gives a contribution on an attempt to model a surfer’s phenomenon mathematically.
The Role of E-Money in Sustainable Smart City Development in Bogor City Area Gustian Rama Putra; Wahyu Sardjono; Oktavian Nursetiaji; Agita Tiara Putri; Asep Saepulrohman; I Wayan Sriyasa
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 2 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v19i2.5674

Abstract

In the current era of society 5.0, especially in industry 4.0, the use of information systems is very important where in this era the community is expected to help the development of smart cities. In this era, people always carry out activities with technology and digitalization, one of which is how to transact that transforms electronically with technology. Currently, e-money is considered to have its own role in the sustainability of community activities, especially in the city of Bogor, so that if the role of e-money can be utilized, a positive value can be generated for the sustainability of smart city development. To assess the success of the role of e-money, this research instrument was built using the DeLone and McLean methods in building a research model that aims to support the development of smart cities with aspects of indicators such as information quality, system quality, service quality, user satisfaction level, utilizing and net benefit. The research method used in this study is factor analysis to process the data obtained from the questionnaire. The Alpha Cronbach value in this study has a value of 0.971 or 97.1%, so it can be concluded that the positive influence of e-money is very large to support the development of smart cities in Bogor City. This research is expected to provide information related to the sustainable development of smart cities in Bogor City.
Detection and Classification of DDos Attack on Software Defined Network Irma Anggraeni; Dinar Munggaran Akhmad
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 2 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v19i2.4769

Abstract

Software-Defined Networking (SDN) is a new network paradigm that changes network architecture. However, it turns out that the SDN network also has several issues, one of which is security. The higher the traffic on the network, the higher the possibility of security threats that will occur. Therefore, it is necessary to detect attacks that might occur on this SDN network. This study will detect attacks on the SDN network with the stages carried out, namely the process of building an SDN architecture using a mininet emulator, then network simulation according to the topology, retrieval of traffic data using wireshark and performing data analysis using the Weka application on the NSL KDD dataset. The results of this research found that a DDos attack a ping of death is an attack that sends messages continuously to the recipient, causing the computer to crash, then analysis of attack classification data is carried out using a dataset to compare machine learning algorithms that have high accuracy was Random Forests. The targeted output in this research is published in the Journal of Computing.
Assets Inventory Information System Using Fifo Method in PT Brightfoods International's Web-Based Formulation Muhammad Aditya Septian Sugraha; Fitria Rachmawati; Nurul Kamilah
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 2 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v19i2.5629

Abstract

AbstractAs time goes by, the world of technology is getting more sophisticated. We can easily get all the information we want to get. Internet access is getting faster and the world of software is progressing very rapidly. This progress must be based on a balanced advance in science and technology. One of them is PT Brightfoods International, a food manufacturing company located in the Sentul Industrial Area, Bogor, which produces food to be enjoyed throughout Indonesia. Currently, the storage of goods delivery data only uses general ledgers, raw material data forms and Microsoft Excel. So there are still frequent loss of stock of goods and not according to the order of the expiration date. This research designs and builds a web-based (offline) inventory system by applying the FIFO method. This record supports the company's business process activities and helps the data storage and processing process with FIFO calculations to avoid expired materials. The web-based inventory information system application using the FIFO method produces information to make a decision desired by the user. Therefore, an application is made that can assist the owner and his employees in processing data, as well as the number of items available. The information system used is based on web and using Sublime Text Tools and Database management Using the MySQL System.Keywords:Information Systems;FIFO;Inventory;WEB;Database Abstract As time goes by, the world of technology is getting more sophisticated. We can easily get all the information we want to get. Internet access is getting faster and the world of software is progressing very rapidly. This progress must be based on a balanced advance in science and technology. One of them is PT Brightfoods International, a food manufacturing company located in the Sentul Industrial Area, Bogor, which produces food to be enjoyed throughout Indonesia. Currently, the storage of goods delivery data only uses general ledgers, raw material data forms and Microsoft Excel. So there are still frequent loss of stock of goods and not according to the order of the expiration date. This research designs and builds a web-based (offline) inventory system by applying the FIFO method. This record supports the company's business process activities and helps the data storage and processing process with FIFO calculations to avoid expired materials. The web-based inventory information system application using the FIFO method produces information to make a decision desired by the user. Therefore, an application is made that can assist the owner and his employees in processing data, as well as the number of items available. The information system used is based on web and using Sublime Text Tools and Database management Using the MySQL System. Keywords: Information Systems; FIFO; Inventory;WEB; Database
Forecasting of the Cases of Covid-19 Patients in Indonesia using Fuzzy Time Series Lintang Patria
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 2 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v19i2.5446

Abstract

The main objective of this study is forecasting of the cases of covid-19 patients in indonesia using fuzzy time series. The data used is from February 1, 2022 to February 28, 2022. The methods used are Fuzzy Time Series (FTS) Chen and FTS Cheng, using first order and second order. FTS is a forecasting method that uses rules and logic on fuzzy sets. The level of prediction accuracy is then calculated based on the Mean Absolute Percentage Error (MAPE) value. The MAPE values of these two methods are then compared to know which method is more suitable in this case study. The results showed that Fisrt Order FTS Chen produced an accuracy of 4,21% and Fisrt Order FTS Cheng produced an accuracy of 4,22%. Second Order FTS Chen and Second Order FTS Chen produced/1the same MAPE, 1,23%./1The results of this study indicate that Second Order FTS Chen and FTS Cheng produce good accuracy and can be used to predict new confirmed cases of Covid 19 sufferers in Indonesia.
Application of The Fuzzy Promethee Method in Selecting Farmer Groups Verification for Candidates for Receiving Grants Regional Revenues And Expenditures Budget Benny Rachman; Soewarto Hardhienata; Sufiatul Maryana
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 2 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v19i2.5569

Abstract

The Bogor Regency Department of Fisheries and Livestock, in charge of the Breeding and Livestock Cultivation Section, has a work program to assist farmer groups, especially livestock, in acquiring aid funds from the government sourced from the Bogor Regency Regional Revenues and Expenditures Budget (APBD). As a result, the government allocates aid fundsfrom the Regional Revenues and Expenditures Budges (APBD) budget source to aid the community in managing livestock. Based on this, research will be conducted and methods used to determine which livestock farmer groups are eligible for government assistance will be implemented.A Decision Support System (DSS) will be used as a tool to recommend which farmer groups deserve assistance based on predetermined assessment criteria. By using the service, you will be able to provide a more accurate and objective evaluation. Because of its capacity to determine criteria values that contain uncertainty and select the best alternative based on these rankings and alternatives, the Fuzzy-PROMETHEE approach was chosen for handlingmulti criteria issues.
Classification of Organizational Data Using the K-Means Algorithm Yana Mulyana; Abdul Fadlil; Imam Riadi
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 2 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v19i2.5676

Abstract

The University of Muhammadiyah Tasikmalaya (UMTAS) is a private university under the Muhammadiyah association located in Tasikmalaya City, West Java Province. As a form of developing student soft skills, UMTAS carries out many activities, one of which is through student organizations consisting of internal and external organizations. This research was conducted to find out which student organizations are categorized as excellent, good, and not good. The assessment attributes for grouping student organization data are the number of active members, activities in one year, organizational discipline, and achievements. Clustering uses the K-Means algorithm. The results obtained from calculations carried out manually and using the rapidminer application obtained the same results, namely clusters with the "excellent" category totaling 8 data (26.6%), clusters with the "good" category totaling 17 data (56.6%), and clusters with the "not good" category totaling 5 data (16.6%). The results of this study can be used by the head of the bureau of academic administration of student affairs and alumni in providing rewards in the form of priorities in organizational funding, awarding charters and punishments in the form of coaching and revoking student organization decrees.
Analysis of Satisfaction Level with Hajj Registration Services using Fuzzy Service Quality and Importance Performance Analysis Aditya Rivaldi; Herfina Herfina; Mulyati Mulyati
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 19, No 2 (2022): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v19i2.5360

Abstract

Service is an activity that is interactive between communities that aims to provide satisfaction and comfort. To achieve this goal, it is necessary to improve the quality and quality of services as well as in the Hajj registration service. The purpose of this study was to analyze the level of satisfaction with Hajj Registration Services using the Fuzzy Service Quality (Servqual) and Importance Performance Analysis (IPA) methods. The data collection technique in this study used 100 questionnaires. The statement items used refer to the dimensions of service quality, namely reliability, responsiveness, assurance, empathy and physical evidence and the methods used to analyze are service quality (servqual) and Importance Performance Analysis (IPA). The servqual method will measure the service quality of each dimension so that the gap value is obtained which is the difference between expectations and reality received by the registrant. The servqual method is then integrated with Importance Performance Analysis to classify certain service quality attributes. The results showed that the Hajj registrants were not satisfied with the quality of services provided by the Ministry of Religion in Kabupaten Bogor by showing a negative servqual score. Based on the results of the IPA, there are 9 attributes that are in quadrant B and quadrant C, 3 attributes that are in quadrant D and none of them are in quadrant A. Therefore, improving service quality needs to be carried out by the Ministry of Religion in Kab. Bogor.

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