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All Journal Tech-E Jurnal Sisfokom (Sistem Informasi dan Komputer) bit-Tech Algor Abdi-Dharma PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Telematika MKOM
Dram Renaldi
Universitas Buddhi Dharma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Journal : Algor

 1 
PENERAPAN ASSOCIATION RULE DATA MINING UNTUK REKOMENDASI PRODUK KOSMETIK PADA PT. FABIANDO SEJAHTERA MENGGUNAKAN ALGORITMA APRIORI febri antho; Dram Renaldi; Edy -; Yakub -
ALGOR Vol 2 No 1 (2020): Data And System
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v2i1.437

Abstract

In some companies that have sales transaction data and this data will increase from day to day so that it will accumulate and become garbage if it is not managed and utilized properly. Sales transaction data is one thing that can be used to increase product sales. Not only to increase product sales but also to provide product recommendations for each sale. As in the product stock setting section, it can provide recommendations for the number of products so that problems such as over stock will not occur which will cause the amount in a product to expire. In this study, an association rule data mining will be implemented for cosmetic product recommendations using the Apriori algorithm. Testing the results of using data mining and the Apriori algorithm is carried out to find out that the results of the study can find association rules from existing datasets to recommend cosmetic products. The association rule method is used in the search for product attachment patterns for sales strategies in policy decision making. So that it can be seen that the cosmetics that are often purchased by consumers, based on the rules generated from the data contained in the database. Tests were carried out using the Rapidminer 9.5 application. The results obtained from this test are that there are 16 rules (rules) that will be used for decision making in cosmetic product recommendations.
A DESIGN of THE IoT-BASED HOME ELECTRONIC DEVICE CONTROLLER WITH FUZZY METHOD USING RASPBERRY PI Daren Kurniawan Widodo; Dram Renaldi
ALGOR Vol 1 No 2 (2020): Technology in Era Industry 4.0
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Technology develops rapidly in the present era, among them is the controller system or controllers system. One of the uses of IoT technology is as a media control system and monitoring of a wide range of electronic devices with the concept to expand the connectivity of Internet networks connected to the global network. In this discussion aims to design and build a controlling system by utilizing simple Internet Of Things technology, using a Raspberry Pi. The Software used in Raspberry Pi consisted of top Raspbian as an operating system. Utilizing simple IoT technologies that control this electronic device through mobile web embedded in the Mini PC controller of Raspberry Pi devices. To give a command that will be in process on Raspberry is by programming using Python programming language. The User interface on fan control is the buttons such as those found in the fan coupled with information on fan status and room temperature. Based on the results of research and discussion can be concluded the system can control remotely through the Internet network to turn off/turn on lights and home electronic devices.
A Teacher Analisis Dan Perancangan Sistem Informasi Media Pencarian Guru Private Online Berbasis Websiste Dengan Metode Profile Matching Septian Tian Saputra; Dram Renaldi
ALGOR Vol. 4 No. 1 (2022): System and Engineering
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v4i1.1557

Abstract

Guru private biasa hanya memanfaatkan aplikasi pengirim pesan seperti media chatting atau dari mulut ke mulut. Hal ini menyebabkan kurang tersebarnya informasi tentang guru private. Oleh karena itu dibuatlah Website dengan sistem pengambilan keputusan dengan metode profile matching untuk memudahkan mencari guru private yang cocok. Profile Matching adalah  metode system pengambilan keputusan yang bertujuan menyeleksi kecocokan antara variable yang telah di tentukan nilainya dengan variable inputan berdasarkan kriteria tertentu agar mendapatkan hasil yang paling sesuai. Sehingga Murid dan Guru dapat bertemu berdasarkan kecocokan kriteria yang sudah dihitung dengan Profile Matching. Metode Profile Matching dapat secara efektif digunakan untuk melakukan pencarian guru private online.
Co-Authors Andika, Rendi Andrian Febri Handoko Aprilia Rachmawati Ardie Halim Wijaya Beane, Listia Daniel Adhinugraha, Daniel Daren Kurniawan Widodo Edward Edison edy Edy - Edy Edy Elza Satrio Aziz Fanny Fransisca febri antho Hartana Wijaya Mario Indriawan Matthew L.F. Korompis Muhammad Subhana Nazori AZ Pataropura, Amesanggeng Rafael Ferdianto Septian Tian Saputra Subhana, Muhammad Thessa Seftiani Dewi Tomi Gunawan Vice Hendra Yakub - Yakub Yakub