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All Journal Jurnal Ilmiah Teknologi dan Rekayasa Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Yasman Rianto
Gunadarma University
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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PENGONTROL RUANGAN MENGGUNAKAN MIKROKONTROLER NodeMCU DENGAN APLIKASI TELEGRAM Rianto, Yasman
Jurnal Ilmiah Teknologi dan Rekayasa Vol 26, No 3 (2021)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/tr.2021.v26i3.4900

Abstract

Lampu, kipas, TV, kulkas dan peralatan elektronik lainnya merupakan peralatan rumah tangga yang memanfaatkan energy listrik dalam penggunaannya. Sistem kontrol kendali peralatan rumah tangga yang masih manual dalam pengoperasiannya menyebabkan permasalahan saat akan menghidupkan dan mematikannya. Dibutuhkan suatu pengendali untuk mengatur itu semua tanpa harus berada dilokasi untuk menyalaknnya. Kemajuan dunia teknologi membuat jarak yang jauh menjadi dekat, membuat yang tidak tampak menjadi mudah dikendalikan. Permasalahan itu mengakitbatkan dibuatnya suatu alat pengendali pengontrol pengendali ruangan untuk menyalakan lampu dan kipas DC dengan menggunakan mikrokontroler NodeMCU. Lampu dan kipas DC dikendalikan dengan menggunakan aplikasi telegram yang terdapat pada smartphone dengan bantuan wifi. Perintah dari telegram akan diteruskan wifi ke NodeMCU untuk selanjutnya diteruskan ke bagian relay untuk menyalakan lampu dan kipas DC. Motor servo akan bergerak untuk membuka pintu jika berhasil menyalakan keduanya. Pengontrol ruangan ini berhasil diuji coba dan dapat menghidupkan lampu serta kipas DC dalam suatu ruangan. Modul relay akan berada dalam kondisi 5° untuk kondisi pintu terbuka dan 90° untuk kondisi pintu tertutup.
Application of Naive Bayes Algorithm to Analysis of Free Fatty Acid (FFA) Production Based on Fruit Freshness Level Wahyu Supriyatin; Yasman Rianto
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v20i1.6293

Abstract

Cooking oil is a basic need for everyone who is used to process food ingredients. The use of cooking oil repeatedly and continuously by heating at high temperatures can increase the free fatty acid levels in the oil. The more the oil is reused, the higher the free fatty acid content. Testing the levels of FFA in oil can be done using the FFA test, because FFA can affect the selling price of CPO when it is marketed. In addition, FFA affects the levels of free fatty acids of CPO. This study aims to determine the analysis of FFA production in palm oil products based on the level of freshness of the fruit. The research was conducted by classifying data mining using the Naïve Bayes Algorithm. The Naïve Bayes algorithm was used to determine whether FFA production had an effect on fruit freshness, fruit quality and fruit soiling. The research was conducted using RapidMiner Studio 9.10 tools. The results of the research from the distribution table show that the value of the FFA attribute obtained 2 conditions, namely super conditions and normal conditions. Where each of these attributes is influenced by the variables of fruit freshness and fruit quality. Probability accuracy results from 60 training data and 40 testing data used are 92.50% for super FFA conditions.
Application of Naive Bayes Algorithm to Analysis of Free Fatty Acid (FFA) Production Based on Fruit Freshness Level Wahyu Supriyatin; Yasman Rianto
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 1 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v20i1.6293

Abstract

Cooking oil is a basic need for everyone who is used to process food ingredients. The use of cooking oil repeatedly and continuously by heating at high temperatures can increase the free fatty acid levels in the oil. The more the oil is reused, the higher the free fatty acid content. Testing the levels of FFA in oil can be done using the FFA test, because FFA can affect the selling price of CPO when it is marketed. In addition, FFA affects the levels of free fatty acids of CPO. This study aims to determine the analysis of FFA production in palm oil products based on the level of freshness of the fruit. The research was conducted by classifying data mining using the Naïve Bayes Algorithm. The Naïve Bayes algorithm was used to determine whether FFA production had an effect on fruit freshness, fruit quality and fruit soiling. The research was conducted using RapidMiner Studio 9.10 tools. The results of the research from the distribution table show that the value of the FFA attribute obtained 2 conditions, namely super conditions and normal conditions. Where each of these attributes is influenced by the variables of fruit freshness and fruit quality. Probability accuracy results from 60 training data and 40 testing data used are 92.50% for super FFA conditions.
Co-Authors Wahyu Supriyatin