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All Journal Jurnal Informatika Terpadu Zona Education Indonesia
Rosiana, Rosa
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Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Other

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The Influence of Instagram Account Content @Jktinfo on Information Needs Rosiana, Rosa; Pramono Hadi, Sigit
Zona Education Indonesia Vol. 2 No. 1 (2024): FEBRUARY 2024
Publisher : Yayasan Mentari Madani

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Abstract

Many people cannot avoid technological developments which will continue to develop over time. Information and communication technology has made it easier and faster for people and cultures to interact with each other. Because many people still use technology to do their work, this cannot be separated. With the internet, technology makes it easier to spread and expand information. Ease of accessing the internet can be used anywhere and can be used on a PC, cellphone or tablet. Currently, social media is not only used to convey information but can also be used to search for information. The phenomenon that is currently happening is that many Instagram social media provide information about a particular area, such as the @jktinfo account, the content provided is such as providing information in the form of pictures and videos regarding news in Jakarta. The aim of this research is to find out whether the content of the Instagram account @jktinfo influences the information needs of STIKOM Interstudi students class of 2019. This research uses the uses and gratifications theory. The method used is an explanatory survey using a quantitative approach. Sample testing was carried out using a non-probability sampling technique with purposive sampling type. The results of this research show that the @jktinfo Instagram Account Content on Information Needs has a moderate level of positive influence with a percentage of 44.9%, while 55.1% is influenced by other variables not studied
Implementasi Algoritma K-Means untuk Pengelompokan Kecamatan Berdasarkan Produktivitas Tanaman Padi di Kabupaten Cirebon Rosiana, Rosa; Prihartono, Willy; Fathurrohman, Fathurrohman
Jurnal Informatika Terpadu Vol 11 No 1 (2025): Maret, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v11i1.1555

Abstract

The productivity of rice plants in Cirebon Regency varies in each sub-district, which causes an imbalance in rice production. This study aims to group sub-districts in Cirebon Regency based on rice crop productivity using the K-Means Clustering algorithm to support strategic decision-making in the agricultural sector. The research methods applied include Knowledge Discovery in Databases (KDD), which provides data selection, preprocessing, transformation, analysis using K-Means, and evaluation using the Davies-Bouldin Index (DBI). The data used is rice productivity in 2023 from 40 sub-districts, which includes planting area, harvest area, and production yield. The analysis showed that the DBI value was optimal at k=3, with three productivity categories: high, medium, and low. Compared to other methods, the K-Means algorithm has proven to be efficient and accurate in grouping data. This research contributes to local governments in formulating policies to increase rice productivity in areas that require further intervention. These findings also provide a basis for further study by comparing other algorithms to improve the accuracy of the results.
Co-Authors A. Sigit Pramono Hadi Fathurrohman Fathurrohman Prihartono, Willy