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 217 Documents
 15   16   17   18   19 
Dwiguna Life Insurance Zilmer Reserves With The Cox-Ingersoll-Ross (CIR) Interest Rate Hasriati Hasriati; Sukono Sukono; Ihda Hasbiyati; T.P Nababan; Aulia Kirana
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): 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.v1i1.6229

Abstract

This article discusses Zilmer's reserve of dual purpose life insurance. Zillmer reserve is one type of modified premium reserve that is calculated using prospective reserves and Zillmer level of , which is the difference from gross premium and net premium in the 1st policy year is greater than standard loading, so it is necessary to find a way for the loading to be smaller than standard loading. Furthermore, in determining Zilmer's reserves using cox-ingersoll-ross interest rate (CIR) which will be expressed in the form of discount vaktor by estimating two parameters through variance. 
Analysis and Design of Production Monitoring Information Systems on Label Shoe Manufacturing Companies Jansen Wiratama; Rudi Sutomo; Victor Ilyas Sugara
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): 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.v20i1.6075

Abstract

Digital technology can be used to solve problems that arise from business activity. One company that has not optimally used digital technology is PT Tiga Tapak Mutiara, which is engaged in manufacturing shoe labels. In its business process, each related division collects data, and the data collection results will be reported to the manager to unify work activities. The production data collection process has not been carried out optimally by the relevant divisions because the conventional recording is still carried out using a spreadsheet application which can slow down the reporting process to be monitored by the leadership. As a result, a slow process can impact not completing production on time. In addition to the problem of data collection, another problem is that the completion of orders received earlier is not compared to the orders received last. The aim and contribution of this research are to integrate business processes to overcome these problems in data collection, monitoring, and order completion activities. It is necessary to design a web-based monitoring information system with the Rapid Application Development (RAD) method and the application of the First In, First Out (FIFO) method so that the ordering process can run according to the time of order. The result of this research is a web-based information system that is useful for integrating business processes to monitor and optimize production activities to be completed on time. This web-based information system has also passed the functionality test using black box testing and is following the company's needs.
Application of Naive Bayes Algorithm to Analysis of Free Fatty Acid (FFA) Production Based on Fruit Freshness Level Wahyu Supriyatin; Yasman Rianto
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): 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.v20i1.6293

Abstract

Cooking oil is a basic need for everyone who is used to process food ingredients. The use of cooking oil repeatedly and continuously by heating at high temperatures can increase the free fatty acid levels in the oil. The more the oil is reused, the higher the free fatty acid content. Testing the levels of FFA in oil can be done using the FFA test, because FFA can affect the selling price of CPO when it is marketed. In addition, FFA affects the levels of free fatty acids of CPO. This study aims to determine the analysis of FFA production in palm oil products based on the level of freshness of the fruit. The research was conducted by classifying data mining using the Naïve Bayes Algorithm. The Naïve Bayes algorithm was used to determine whether FFA production had an effect on fruit freshness, fruit quality and fruit soiling. The research was conducted using RapidMiner Studio 9.10 tools. The results of the research from the distribution table show that the value of the FFA attribute obtained 2 conditions, namely super conditions and normal conditions. Where each of these attributes is influenced by the variables of fruit freshness and fruit quality. Probability accuracy results from 60 training data and 40 testing data used are 92.50% for super FFA conditions.
The Sustainability of The Netflix's Business Processes With Knowledge Risk Management Approach Gustian Rama Putra; Wahyu Sardjono; Taruma Leo Wijaya; Erna Selviyanti; Asep Saepulrohman
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): 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.v1i1.5935

Abstract

The Squid Game film is a film that is very familiar among the public because the story, storyline, and also the quality provided gives a very good impression that can be accessed by the public through an application called Netflix. Not surprisingly, many people remember their childhood in these stories. However, on the side of its very global fame, there are several issues that must be faced by Netflix in showing the Squid Game film that can threaten the sustainability of Netflix's business process itself. Through this research, we will analyze the factors that cause Netflix to face the worst scenario in showing the Squid Game film through Factor and Regression analysis on a predetermined model. The results stated that there were 9 factors that caused Netflix to have to deal with this problem.
Sentiment Analysis of Opinions on the Use of Devices in Students Using the Support Vector Machine (SVM) Method Muhammad Zuhri; Arie Qur'ania; Mulyati Mulyati
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): 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.v20i1.6558

Abstract

Sentiment Analysis is a field of science in analyzing a sentiment or opinion on a particular object or problem and the opinion can be divided into several purposes (classes) that lead to negative, neutral or positive opinions. Gadgets (gadgets) are human aids in many fields including work, entertainment, communication and information, the use of gadgets themselves encompasses all ages including school students who use gadgets excessively that affect the mental, physical and attitudes of users. Twitter social media is one of the social media that is used by the public in making opinions about the influence of gadgets, especially parents, these opinions are useful for other users in determining the granting of access rights and direction for children, especially students in using gadgets. Opinion classification is needed in making it easier for other users to see whether opinions from the influence of gadgets fall into the negative, neutral or positive classes. The method used in the classification of opinion is Support Vector Machine (SVM). The data used in this study amounted to 1354 taken in 2019 using web scraping techniques on the Twitter site which are then pre-processed so that it can be processed into the program and classified into 3 classes of sentiments, namely negative, neutral and positive sentiments. In finding the average value of accuracy in the distribution of training data and test data using k-fold cross validation of 10-fold produces an average value of 85.3%. Then testing is done to measure the performance of the SVM method using confusion matrix in the percentage of training data and different test data and produces the highest accuracy value of 83.3%.
Identification of Biometrics Using Fingerprint Minutiae Extraction Based on Crossing Number Method Boldson Herdianto Situmorang; Dicki Andrea
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): 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.v20i1.6814

Abstract

Biometrics based on fingerprint images is a self-recognition technique using fingerprint to represent a person's identity. Fingerprint is characteristic of someone's identity precisely and safely because there are no similarities and cannot be falsified. The purpose of this research is to develop a biometrics identification system based on fingerprint images by utilizing a cell phone camera for the acquisition of fingerprint images. This is based on its simplicity because almost everyone has a cell phone so that a person's identification system based on fingerprint can be used anytime and anywhere. The research was conducted using images generated from cell phone cameras with camera specifications of 2, 5 and 8 mega pixels. The method used in image processing consists of the minutiae crossing number method for the feature extraction process and the minutiae based matching method for the similarity measurement process. The results of the research concluded that cell phone cameras with specifications of 5 and 8 mega pixels can be used for the process of image acquisition in biometrics systems based on fingerprint. The feature extraction process of image results using the minutiae crossing number method and the match measurement process using the minutiae based matching method resulted in an accuracy value of 92.8% on a 5 mega pixel camera and 95.3% on an 8 mega pixel camera. The accuracy value depends on the results of the image acquisition stage, pre-processing, the threshold value in the identification process, and the number of images used in the training data in the database.
Distribution Analysis Active Small and Medium Industries Bogor City Using K-means Clustering Siska Andriani; Faradilla Rizqiyyah; Rahmat H A Asir
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): 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.v20i1.6559

Abstract

Small and Medium Industries (IKM) is one sector that contributes to driving economic growth, one of which is in West Java province, Bogor city. The number of active IKM in the city of Bogor in 2021 based on the survey results was 1,189, while in 2022 the number of small and medium industries (IKM) active in the city of Bogor based on the survey results was 1,766. The purpose of this study was conducted to determine the distribution of active small and medium industries (IKM) in Bogor city. So, this research can provide solutions related to the government or agencies to assist in building and developing IKM. In this research, the method used is the Knowledge Discovery in Database method, Where the stages are data selection, pre-processing, transformation, data mining and evaluation. Determination of the number of clusters is done using the elbow method. After determining with Elbow, the data will be represented using K-means clustering. The results of the K-means clustering algorithm yield 3 clusters, with each cluster 0 criterion being the distribution of low IKM with a total of 45 sub-districts. Cluster 1 is the distribution of medium IKM with the number of sub-districts is 14, and cluster 2 is the distribution of high IKM with the number of sub-districts totaling 9. The evaluation in this study used the silhouette coefficient method, from the data used it produced a cluster value of 0.56 which means that it is included in the clustering criteria with a good structure.
Analysis of Regency and City Pneumonia Clusters in West Java 2020 Yusma Yanti; Septian Rahardiantoro
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): 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.v20i1.6412

Abstract

Pneumonia is an infection of the respiratory tract caused by bacteria, viruses, or fungi. The number of pneumonia cases in West Java is relatively high, therefore, it is necessary to identify some group of regencies/cities in which have a common characteristic, to make it easier to handle. The data used is data on the number of pneumonia cases in 27 regencies/cities in West Java in 2020. In this study, chi-squared test was applied to determine the characteristics of pneumonia spread in West Java. Then, a regression-based analysis by using the Irregular Graph Fused LASSO method was used to provide the cluster of regencies/cities, by considering the adjacent locations of regencies/cities as a penalty matrix. The results obtained that the cases spread unevenly. The number of cases for every 1000 people in each regency/city was relatively high in the eastern part of West Java. There were 6 clusters obtained from 27 regencies/cities, with Pangandaran regency as the location with the highest cases occurred. Depok City and Bekasi City were locations with the lowest number of cases even though they have relatively high population numbers.
IMPLEMENTASI DATA MINING PENJUALAN OBAT DALAM MEMPREDIKSI STOK BARANG MENGGUNAKAN METODE ALGORITMA APRIORI Ruhul Amin
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 17, No 2 (2020): 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.v17i2.1679

Abstract

PT. Kimia Farma adalah suatu perusahaan yang bergerak dalam bidang industri farmasi Indonesia, Kimia Farma sangat diperhitungkan kiprahnya khususnya dalam pembangunan kesehatan masyarakat Indonesia. Dalam persaingan didunia bisnis, khususnya Apotek, para pengembang menemukan suatu strategi jitu yang dapat meningkatkan penjualan obat. Salah satu cara mengatasinya adalah dengan tetap tersediaannya berbagai jenis obat yang dibutuhkan oleh konsumen. Penerapan Algoritma Apriori dapat membantu dalam kandidat kombinasi item, jika memenuhi parameter support dan confidence maka hasil tersebut dapat membantu dalam pola pembelian obat.
Implementasi Algoritme Genetika untuk Mengoptimasi Topologi Jaringan Saraf Tiruan Muhamad Saad Nurul Ishlah
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 14, No 2 (2017): 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.v14i2.769

Abstract

Artificial Neural Networks (ANNs, NN) telah banyak diimplementasikan dalam penyelesaian berbagai masalah komputasi. Dalam prosesnya, sering kali perancangan topologi jaringan pada ANNs dilakukan dengan cara coba-coba, sehingga keoptimalan dari rancangan tersebut sering tidak optimal untuk menyelesaikan suatu masalah. Di lain pihak, Genetic Algorithm (GA, Algoritme Genetika) dikenal sebagai sebuah teknik untuk menemukan sebuah solusi yang optimal dari sekumpulan populasi masalah optimasi. Tulisan ini menyajikan hasil pengimplementasian GA untuk mengoptimasi topologi pada rancangan ANNs. Pada penelitian ini, GA digunakan untuk menemukan jumlah neuron pada lapisan tersebunyi (hidden layer) untuk menyelesaikan masalah klasifikasi bunga. Selain itu, GA juga digunakan untuk mengoptimasi learning rate dan parameter momentum dari rancangan ANN. Untuk mengevaluasi performa dari hasil topologi baru yang terbentuk, dilakukan perbandingan dengan topologi ANN yang belum dioptimasi menggunakan GA. Hasil simulasi menunjukkan bahwa arsitektur ANN yang baru menghasilkan klasifikasi yang lebih baik.

Page 17 of 22 | Total Record : 217

 15   16   17   18   19 

Filter by Year

2006 2024


Reset
Filter By Issues
All Issue Vol 21, No 2 (2024): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 21, No 1 (2024): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika 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): JURNAL KOMPUTASI Vol 13, No 2 (2016): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika 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