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PERBANDINGAN METODE K-NN DAN BAYES PADA MISSING IMPUTATION Taufiq Rizaldi; Fendik Eko Purnomo; Aji Seto Arifianto
Jurnal Teknologi Informasi dan Terapan Vol 5 No 2 (2018)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v5i2.84

Abstract

The problem of data loss in a dataset is experienced in surveys for data collection which are usually caused by no response from units or items during the survey data collection process. The loss of a data can significantly influence the results of a study. The inaccuracy in choosing a solution to overcome these problems can result in a less than optimal outcome that tends to be biased. Some methods that are widely used to solve these problems are using the K Nearest Neighbor (K-NN) and Naïve Bayes methods, the main purpose of this study is to compare the performance of the two methods. From the results of the K-NN, the results were better, where the Mean Square Error (MSE) is bigger than 1 and MAPE around 10-16%, while Naïve Bayes got MSE values bigger than 1 and MAPE ​​around 26%.
Mathematical Modeling of Alcohol Fermentation On Tape Singkong With Monitoring Technology Temperature And Fermentation Controlled Chamber (TFCC) Ahmad Rofi'i; Fendik Eko Purnomo; Faisal Lutfi Afriansyah
Jurnal Ilmiah Inovasi Vol 22 No 3 (2022): Desember
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jii.v22i3.3509

Abstract

Tujuan penelitian yang dihasilkan pada artikel ini adalah  menentukam pemodelan matematika dan analisis matematis dalam proses fermentasi alkohol pada tape singkong yang diproses melalui alat Temperature And Fermentation Controlled Chamber (TFCC). TFCC dilengkapi dengan sistem secara otomasi yang disertai dengan sensor yang mendeteksi kualitas makanan dan langsung dapat diamati melalui layar LCD yang terintegrasi pada alat tersebut. Sensor yang digunakan antara lain MQ-3 sebagai sensor pendeteksi kadar alkohol, thermocouple tipe K untuk mendeteksi kadar suhu, pH meter untuk mengukur kadar keasaaman pangan fermentasi dan dilengkapi dengan LCD tft untuk menampilkan notifikasi hasil pengukuran kadar alkohol. Metode penelitian yang digunakan adalah penelitian eksperimental dengan membuat rancang bangun suatu alat yang dapat digunakan untuk memproduksi/ memasak makanan berfermentasi sekaligus memonitoring kadar pH, alkohol, kadar glukosa dan suhu yang terintegrasi dalam satu set alat yang dinamakan Temperature And Fermentation Controlled Chamber (TFCC) dengan Teknologi Hybrid System. Reaksi fermentasi alkohol tape singkong dengan Alat Temperature And Fermentation Controlled Chamber (TFCC) dan direkayasa melaluipersamaan linear dari data proses fermentasi tape singkong bahwa persamaan kadar alkohol adalah   dengan pemodelan matematika  dengan  a+(m(S(t)+ K))/(p S(t)) (1-c/M (S(t)-S(0))=-d(S(t))/(d X(t) ) with (Q+dK )=c/S(0) S(t)^2-S(t).
Load and Stability Optimization Based Carbon Arm with Split Tank on Unmanned Aerial Vehicle for Foliar Fertilizer Faisal Lutfi Afriansyah; Fendik Eko Purnomo; Ahmad Rofi'i; Nurul Zainal Fanani
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 4 No 4 (2023): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v4i4.318

Abstract

This research focuses on the load and stability of unmanned aerial vehicles that are as light as possible but with optimal stability functions and increasing the capacity of liquid fertilizer lifted by unmanned aerial vehicles. The increase in lift is related to the payload and stability to be carried by the unmanned aerial vehicle. By optimizing the arm using the arm carbon method, so without reducing the strength and function of the drone, the gross weight of the components becomes much lighter, so that the weight can be focused on increasing the capacity of liquid fertilizer. With the increase in liquid fertilizer capacity, of course, the weight also increases, this raises a new problem, which is to make the balance value when the drone take-off has a large magnitude, thus affecting stability which causes the potential to fail to fly, therefore this research was carried out so that the drone has stability. maximum and can minimize the effects of shocks from increasing capacity after using arm-carbon. The measurements taken were the success rate of the system in flying over agricultural land, power testing and current measurements. After testing, it was found that by using a split tank and carbon arm system, current and power tend to be more stable, so that battery life is longer, liquid fertilizer capacity can be increased and the potential for flight failure can be minimized with a split tank system with 90% accuracy, carried out optimizing weight with carbon arms and increasing the capacity of liquid fertilizer by 30%, using a split tank system increases the stability of the drone at take-off by up to 80%.