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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)

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.

Implementasi Metode Preference Selection Index Dalam Penentuan Jaringan Dan Pemanfaatan Internet Pada Provinsi Indonesia Rizki Dewantara; Pandu Adi Cakranegara; Ahmad Jurnaidi Wahidin; Arianto Muditomo; I Gede Iwan Sudipa
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.527

The era of digital society is strongly supported by the development of information and communication technology, along with the use of the internet by the community, making the digital era help every community activity. The progress of internet development in Indonesia cannot be separated from the distribution of network infrastructure in all urban (urban) and rural (rural) areas in all provinces in Indonesia. Based on data from the Central Statistics Agency (BPS) for the period 2017 - 2020, this study aims to determine which of the 34 provinces in Indonesia are provinces that have a strong and stable internet network in urban and rural areas, as well as regions in Indonesia whose people are significantly utilizing the use of the internet in their daily activities in both urban and rural areas. The selection process uses eight assessment criteria from aspects of the expansion and distribution of internet network quality and internet utilization for rural and urban communities in the province of Indonesia. In this study, the method of solving the problem of multi-criteria decision-making is the Preference Selection Index (PSI) method. The results of the final calculation of the PSI method from 34 alternatives determine the five best provinces for expanding the internet network and internet utilization in 2020, namely the alternative provinces of Central Java, West Java, East Java, South Sumatra, and Aceh.

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

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

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.

Implementasi Metode Preference Selection Index Dalam Penentuan Jaringan Dan Pemanfaatan Internet Pada Provinsi Indonesia Rizki Dewantara; Pandu Adi Cakranegara; Ahmad Jurnaidi Wahidin; Arianto Muditomo; I Gede Iwan Sudipa
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.527

The era of digital society is strongly supported by the development of information and communication technology, along with the use of the internet by the community, making the digital era help every community activity. The progress of internet development in Indonesia cannot be separated from the distribution of network infrastructure in all urban (urban) and rural (rural) areas in all provinces in Indonesia. Based on data from the Central Statistics Agency (BPS) for the period 2017 - 2020, this study aims to determine which of the 34 provinces in Indonesia are provinces that have a strong and stable internet network in urban and rural areas, as well as regions in Indonesia whose people are significantly utilizing the use of the internet in their daily activities in both urban and rural areas. The selection process uses eight assessment criteria from aspects of the expansion and distribution of internet network quality and internet utilization for rural and urban communities in the province of Indonesia. In this study, the method of solving the problem of multi-criteria decision-making is the Preference Selection Index (PSI) method. The results of the final calculation of the PSI method from 34 alternatives determine the five best provinces for expanding the internet network and internet utilization in 2020, namely the alternative provinces of Central Java, West Java, East Java, South Sumatra, and Aceh.

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