Article Per Year (5 Year)
p-Index From 2020 - 2025
0.562
P-Index
This Author published in this journals
All Journal Jurnal Mantik INFOKUM
Arianto Muditomo
ABFI Institute Perbanas
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Combination of SAW Method and Linear Interpolation in Selection of Raskin Recipients Agung Teguh Setyadi; Pandu Adi Cakranegara; Arianto Muditomo; Iwan Henri Kusnadi; Efendi
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.77 KB)

Abstract

The government assistance program is one of the efforts to promote community welfare, as is the case with the Raskin assistance program. In the contribution of aid from the center to the regions, of course, many things are of concern, namely the equitable distribution and correct targeting of the rightful recipients. In reality, there are problems in determining the recipients of Raskin assistance due to the indication of an element of subjectivity in making decisions and the mismatch between candidate data and recipients due to not taking into account the assessment criteria in determining the selected candidates for assistance. This study proposes an evaluation of the selection process for Raskin beneficiaries with four criteria, namely Income (C1), Marital Status (C2), Dependent of Children (C3), and Age (C4). The method combines the Simple Additive Weighting (SAW) method in determining the nature of the criteria to calculate the final score and the Linear Interpolation technique for the scoring process to determine the difference in numerical values. The study results are seven alternative recipients of assistance selected into three selected alternatives. The analysis of the influential criteria shows that the Dependent of Children (C3) and Age (C4) criteria affect the final ranking of the alternative recipients of Raskin assistance.
Analysis Of Human Computer Interaction Approach In Pospay Application Nur Azis; Efendi; Azizah Silfa Azzahra; Arianto Muditomo; Agustina
Jurnal Mantik Vol. 6 No. 2 (2022): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i2.2712

Abstract

Fulfillment of customer service is the company's priority in developing a digital service platform. Digital services with many users accessing, of course, require service applications to be able to be used optimally. Human-Computer (HCI) analysis, by focusing on usability aspects which include learnability, efficiency, memorability, errors, and satisfaction aspects, can be an analytical approach from the user's side of an application so that the application can become an application that follows user needs. This study applies HCI analysis to the Pospay application with 100 community respondents using a simple random sampling technique. The analysis results, especially on the user side based on the opinions of user respondents, shows that the Pospay application has implemented aspects of learnability, effectivity, memorability, and satisfaction well but has several drawbacks of the error.
Visualization Of Tourist Visit Time Series Data Using Google Data Studio Nur Azis; Ahmad Jurnaidi Wahidin; Pandu Adi Cakranegara; Arianto Muditomo; Efendi Efendi
Jurnal Mantik Vol. 6 No. 2 (2022): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i2.2731

Abstract

Data presentation techniques in the development of information technology are essential in processing data and producing information. The process of processing data into information can be one of the considerations in determining decisions. Time series data containing data with detailed time sequence frequencies within a certain period can be processed into information showing changes in a data variable within a specific period that can be analyzed according to needs, for example, on data on domestic tourist visits in an area. If the data can be adequately visualized, it can provide easy to digest information. Data analysis is carried out on the Google Data Studio interface because combining visualization methods can help people quickly understand the data. This study uses Google Data Studio for data analysis and visualization through scoreboards, line graphs, and pie charts. The results of the research are in the form of data visualization, which shows a decrease in the number of domestic tourist visits to Bali from 2019-2021, which is around 500 thousand domestic tourists from 2019 to 2020, and a decrease of about 30 thousand domestic tourists from 2020 to 2021. In addition, visualization data with pie charts show a decrease in domestic tourist arrivals of 54.2% in 2019. The percentage decreased to 23.6% in 2020 and 22.1% of visits in 2021.
Co-Authors Agung Teguh Setyadi Agustina Ahmad Jurnaidi Wahidin Azizah Silfa Azzahra Cakranegara, Pandu Adi Efendi Efendi Iwan Henri Kusnadi Nur Azis