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All Journal Jurnal Mantik Penusa INFOKUM
Marlince Nababan
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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PERANCANGAN APLIKASI MEMBER FITNES BERBASIS ANDROID MENGGUNAKAN APP INVENTORY Marlince Nababan; Ke vin; Andre Wijaya
Jurnal Mantik Penusa Vol. 3 No. 1,Juni (2019): Manajemen dan Informatika
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

Olahraga adalah ilmu terapan yang dipengaruhi oleh keberadaan teknologi untuk mendukung kegiatan olahraga. Teknologi sangat dibutuhkan dalam bidang olahraga karena dapat mendukung untuk mendapatkan informasi dengan cepat, tepat, dan dengan tingkat akurasi yang lebih besar. Salah satu perusahaan yang menyediakan layanan kebugaran, yaitu Victory Gym. Fakta yang ditemukan di lapangan bahwa layanan manajemen pembayaran keanggotaan dan Victory Gym masih dicatat secara konvensional. Aplikasi ini dirancang dengan laguange pemrograman Inventor APP, penulis berharap aplikasi ini di aplikasi ini dapat memudahkan anggota untuk mengetahui jadwal pelatihan dan status pembayaran mereka.. Kata Kunci : Android, APP Inventor, fitness
APPLICATION OF DATA MINING TO DETERMINE THE LEVEL OF FISH SALES IN PT. TRANS RETAIL WITH FP-GROWTH METHOD Tamba, Saut Parsaoran; Sitanggang, Mario; Situmorang, Bimo Christhoper; Panjaitan, Gracia Laura; Marlince Nababan
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Trans Retail Indonesia is one of the shopping places in the city of Medan. Trans Retail Indonesia is engaged in providing raw materials such as selling fish. However, at Trans Retail Indonesia, sales data collection still uses a manual system, so this store has not been able to determine which type of fish has the highest level of sales. So this affects the availability of goods and results in a lack of stock in this store. So we need a data mining system with the FP-Grwoth method to analyze fish sales data so that the results of the analysis become a reference for stores in determining the supply of fish stocks. The results of the analysis carried out by researchers from the data obtained are the fish that is most in demand is the Jengka Split with a value of 90%, and if you take a split Jengka fish, you will take anchovy buntiaw with a value of 54%. If you take an anchovy, it will take a large anchovy and will take a white Peda fish with a value of 100%.
Co-Authors Andre Wijaya Ke vin Panjaitan, Gracia Laura Sitanggang, Mario Situmorang, Bimo Christhoper Tamba, Saut Parsaoran