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All Journal Jurnal EK dan BI Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Komtekinfo Jurnal Pengabdian Masyarakat Ilmu Komputer
Agustin, Riris
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

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Perbandingan Algoritma CART dan C.4 5 Pada Citra Tandan Buah Sawit Untuk Mengetahui Tingkat Kematangan Dalam Penentuan Harga Agustin, Riris; Sarjon Defit; Sumijan
Jurnal KomtekInfo Vol. 11 No. 4 (2024): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v11i4.558

Abstract

Information technology is a means and infrastructure of a system method to organize, send, interpret, use, process, obtain, and store data in a meaningful and useful way. Oil palm is a tropical plant originating from West Africa. The advantage of this plant is that it can also be planted outside its place of origin, including Indonesia. This plant has been widely cultivated in the form of plantations and factories in various regions in Indonesia. Oil palm is an industrial plant that is used as a raw material for vegetable oil, industrial oil, and fuel. Oil palm is important for Indonesia because it creates jobs for local people and is a source of foreign currency for the country. Oil palm plants begin to flower and form fruit after 2-3 years. The fruit will ripen about 5-6 months after pollination. The ripening process of oil palm fruit can be seen from the change in color of the fruit's skin. The fruit will turn orange-red when ripe. When the fruit is ripe, the oil content in the fruit flesh is at its maximum. If it is too ripe, the oil palm fruit will fall from the stalk of the bunch. This study aims to assess the maturity of a bunch of oil palm fruit. The methods used in this study are CART and C.4 5. Each method has several stages that will produce entropy and gain values ​​that will later form a decision tree. The dataset consists of 37 data consisting of 10 criteria originating from Ramp 789 Batang Peranap. Based on the implementation of the C4.5 algorithm and the CART algorithm in determining the level of ripeness of oil palm fruit bunches on RAMP 789 Batang Peranap which produces an accuracy of 98.00%. These results are obtained based on Process data with testing using the RapidMiner application, which produces a Decision tree that is useful as a reference for decisions in determining whether or not oil palm fruit bunches are ripe, which so far have only been predicted.
Penerapan Metode Rough Set Dalam Memprediksi Penjualan Pada PT. Jaya Framex Bengkulu Lubis, Fitri Amelia Sari; Lubis, Siti Sahara; Agustin, Riris; Karmanita, Deti; Defit, Sarjon
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.758

Abstract

So far, in predicting sales at PT. Jaya Framex Bengkulu, only relies on manual calculations. There are no calculations that use a system to help predict sales at PT. Jaya Framex Bengkulu in the future. As more and more entrepreneurs emerge, it requires entrepreneurs to plan sales strategies. So that what is produced does not decrease further, and is not less competitive with other entrepreneurs, to avoid this, it is necessary to have sales predictions to predict sales so that you can plan future sales strategies. Based on the research conducted, the author can draw the conclusion that predicting the number of food products using Data Mining is very helpful in processing data that has been classified such as product supply, product type and capabilities so that it produces rules that support a decision which can later be used as support for sales prediction decisions. to be more optimal. From 13 sample data of the Data Mining sales process using the rough set method, 5 Reducts were produced which were extracted into knowledge of 11 Generate Rules, thereby producing a decision that was conveyed from the resulting rules. The results of this research can be used by developers to predict future sales. It is hoped that adding new variables can produce more varied decisions and more useful knowledge as decision support
SYSTEMATIC LITERATURE REVIEW: SOSIAL MEDIA ORGANIK UNTUK MENDORONG BRAND AWARENESS Agustin, Riris; Veri, Jhon
Jurnal Ekonomi dan Bisnis (EK dan BI) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/ekbi.v7i1.1451

Abstract

Generic or organic means content that is not paid for by outside parties, is created by the brand, but can increase visibility when consumers share it with others. The aim of this research is first to analyze the potential of organic social media (SMO) to encourage brand awareness so that it can then increase sales through social media platforms. Second, what obstacles occur in organic social media marketing. By conducting a systematic literature review, this article provides aspects of organic marketing to drive consumer awareness of a brand. The method used applies Systematic Literature Review (SLR). Based on a systematic literature review, researchers found 7 final samples from 304 total articles. The findings show that organic (unpaid) social media is able to increase visibility when consumers share with others. Basically, organic social media is prioritized for awareness purposes. Organic social media, if used effectively and implementing the right strategy, can be a powerful tool for brands to expand the reach of organic posts and increase opportunities for engagement with targets.
REVOLUSI DIGITAL DALAM PENDIDIKAN : PEMANFAATAN TEKNOLOGI AI (ARTIFICIAL INTELLIGENCE) UNTUK MENINGKATKAN KUALITAS PEMBELAJARAN Fauziah; Meiditra, Irzon; Mutia, Cut; Yuda, Fitra; Rasyid, M.; Agustin, Riris; Sahara Lubis, Siti
Jurnal Pengabdian Masyarakat Ilmu Komputer Vol. 2 No. 1 (2025): Januari
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jpmik.v2i1.1930

Abstract

Perkembangan teknologi digital yang pesat, khususnya dalam bidang kecerdasan buatan (AI), memberikan peluang besar untuk meningkatkan kualitas pembelajaran di dunia pendidikan. AI memiliki potensi untuk mengubah proses belajar-mengajar dengan memberikan solusi inovatif, seperti personalisasi pembelajaran, analisis data akademik, dan pengembangan metode pengajaran yang lebih efektif. Namun, penerapan teknologi ini di institusi pendidikan, termasuk SMA Negeri 1 Tanah Putih, menghadapi tantangan seperti kurangnya pemahaman terhadap AI, keterbatasan infrastruktur, dan minimnya strategi pemanfaatan teknologi dalam pembelajaran. Pengabdian kepada masyarakat (PkM) ini bertujuan untuk mengkaji dan mengembangkan strategi implementasi teknologi AI dalam pembelajaran di SMA Negeri 1 Tanah Putih. Diharapkan bahwa melalui pendekatan yang tepat, pemanfaatan AI dapat meningkatkan kualitas pembelajaran serta membantu siswa dalam memahami materi secara lebih mendalam dan mandiri. Program ini juga berfokus pada penelitian dan pengembangan strategi untuk meningkatkan kualitas pendidikan melalui penggunaan teknologi AI di SMA Negeri 1 Tanah Putih, menjadikannya lebih relevan dengan tuntutan perkembangan teknologi dalam pendidikan.kegiatan pengabdian masyarakat ini menghasilkan rekomendasi pentingnya pelatihan lanjutan yang berkelanjutan tentang AI untuk membekali peserta dengan keterampilan terkini dalam pengembangan dan penerapan teknologi saat ini.
Co-Authors Cut Mutia, Cut Deti Karmanita Fauziah Lubis, Fitri Amelia Sari Lubis, Siti Sahara M. Rasyid Meiditra, Irzon Sahara Lubis, Siti Sarjon Defit Sarjon Defit Sumijan Veri, Jhon Yuda, Fitra