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All Journal JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture DIMAS-UNDAR
Niken Paramita
Universitas Widya Gama Malang
Computer Science & IT Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering

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Pengenalan English for Professional Communication bagi Staf Perusahaan/Instansi Swasta Niken Paramita; Choirul Anam; Shaifany Fatriana Kadir; Fairuzabadi Fairuzabadi
Jurnal Pengabdian Masyarakat Universitas Darul Ulum Vol 5 No 1 (2026): DIMAS-UNDAR
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/dimas-undar.v5i1.5104

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pemahaman dan keterampilan komunikasi bahasa Inggris profesional bagi staf perusahaan/instansi swasta, khususnya dalam konteks komunikasi telepon di tempat kerja serta penanganan pertanyaan dan keluhan. Sasaran kegiatan adalah staf karyawan swasta yang mendaftar melalui Google Form. Informasi kegiatan disebarkan melalui mahasiswa kelas karyawan yang sedang mengikuti mata kuliah English for Professional Communication. Peserta kegiatan berjumlah 8 orang yang mayoritas merupakan rekan kerja dari mahasiswa yang menyebarkan formulir pendaftaran. Materi pelatihan berfokus pada dua topik utama, yaitu Phone Conversation at Workplace dan Handling Inquiries & Complaints, yang juga merupakan bagian dari materi perkuliahan English for Professional Communication. Metode kegiatan dilaksanakan dalam bentuk pelatihan yang memadukan penyampaian teori, diskusi, latihan ungkapan, simulasi percakapan, dan praktik role play. Pendekatan komunikatif dan berbasis praktik digunakan agar peserta tidak hanya memahami konsep komunikasi profesional, tetapi juga mampu mempraktikkannya dalam situasi kerja sederhana. Luaran kegiatan berupa modul pembelajaran yang memuat materi, contoh ungkapan, dialog, latihan, dan skenario praktik untuk dua topik tersebut.
Application of Data Mining with Apriori Algorithm and FP Growth on Cafe Bread Sales to Support Business Intelligence Muhammad Auzhar Rafli Ramadhani; Shaifany Fatriana Kadir; Niken Paramita; Wiwin Purnomowati; Tshering Peldon; Farrel Muhammad Raihan Akhdan
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 3 No. 2 (2026): Vol. 3 No. 2 (2026): June
Publisher : Lumina Infinity Academy Foundation

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Abstract

This study aims to apply the Apriori and FP-Growth algorithms in analyzing sales transaction patterns in a bakery Cafe, with a focus on developing a business intelligence strategy. The data used includes 20,507 transactions from January 11, 2016 to December 3, 2017. The results of the analysis show that items (coffee and bread) are the most frequently purchased, with the highest support values of 26.67% and 32.72%, respectively. In addition, several significant association rules were found, such as a positive relationship between (hot chocolate and coffee). This study provides insights that can be used to design more effective marketing strategies, including bundling promotions and more efficient stock management, so as to increase sales and customer satisfaction.
Co-Authors Choirul Anam Fairuzabadi Fairuzabadi Farrel Muhammad Raihan Akhdan Muhammad Auzhar Rafli Ramadhani Shaifany Fatriana Kadir Tshering Peldon Wiwin Purnomowati