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Perbandingan Algoritma C4.5 dan Naïve Bayes dalam Menentukan Persediaan Stok Rian Pratama; Baenil Huda; Elfina Novalia; Huban Kabir
METIK JURNAL Vol 6 No 2 (2022): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v6i2.379

Abstract

Dalam bisnis ritel, persediaan merupakan faktor penting yang perlu diperhitungkan. Jumlah persediaan yang keluar masuk harus dipeerhitungkan. Alasannya adalah agar stok persediaan tetap stabil dan juga untuk menghindari kerugian yang disebabkan oleh kadaluarsa. Masalahnya adalah setiap item memiliki pembelian yang berbeda. Oleh karena itu, diperlukan perhitungan untuk memprediksi item apa saja yang perlu ditambah atau dikurangi di gudang. Berdasarkan permasalah tersebut, metode klasifikasi data mining digunakan dalam menentukan algoritma yang cocok untuk prediksi persediaan. Dua algoritma yang digunakan adalah algoritma C4.5 dan Naive Bayes. Setelah dilakukan pengujian kedua algoritma tersebut menggunakan tools RapidMiner, didapatkan hasil bahwa algoritme C4.5 memberikan nilai akurasi sebesar 96.80%, sedangkan algoritma Naive Bayes memberikan hasil sebesar 91.20%. Kesimpulannya adalah algoritma C4.5 baik untuk prediksi persediaan.
ANALISIS USER SENTIMENT APLIKASI GOOGLE MAPS, MAPS.ME DAN WAZE MENGGUNAKAN METODE SUPPORT VECTOR MACHINE Ilham Fariz Asya Mubarok; Baenil Huda; Agustia Hananto; Tukino Tukino; Huban Kabir
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 8 No 1 (2023): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v8i1.3020

Abstract

Nowadays, the routing app is often used by many people, this app is very useful for users to find the best route by just entering the address code, this app can provide travel routes which can be taken by different kinds of vehicles. In Indonesia itself, there are several widely used route guidance apps with various positive and negative reviews. In this study, different types of apps namely Google Maps, Maps.me and Waze were used and the data is from user feedback through an online survey. The purpose of this study is to find out the users' ratings for each application which was used as the material for the study. Support Vector Machine method was used to process the data. For each app, 750 comments were received and the final result of maps.me was the app with the highest score based on 86.40% accuracy, 86.55% precision and 99.69% recall. The maps.me app received 68% positive reviews, followed by Waze with 29% and Google Maps with 3%. This makes maps.me the app with the highest score based on positive reviews.
Implementasi Sistem SCADA Proses Filtrasi pada Water Treatment Plant (WTP) Menggunakan PLC Siemens S7-1200 Huban Kabir; Ari Ajibekti Masriwilaga; Refiana Ogam Panjabar Alamsyah; Nana Suryana
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 1 (2026): Januari: Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Inform
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i1.1358

Abstract

Water is an essential need for all living things on Earth to support various vital biological processes. Without water, life cannot exist because of its role as a solvent, nutrient transport medium, and temperature regulator. Water in nature does come from various sources such as rivers, lakes, rain, and groundwater, which are not all clear because they are contaminated with particles or other substances, in contrast to mountain springs which are often purer. In this study, a water filtration system was created aimed at making turbid water purify to be suitable for use by assessing the NTU (Nephelometric Turbidity Unit) of turbid water due to suspended particles such as mud or sediment, thus producing clear water suitable for use for household or irrigation purposes. The use of two Siemens S7-1200 PLCs as controllers in the water filtration system is a reliable redundant approach to automate mechanisms such as pump, valve, and NTU sensor settings. PLC 1 is used for the filtration system and PLC 2 is used for the water distribution system. The water distribution process uses a DC pump that runs when it receives input from the water level sensor in the raw water tank and clean water tank. The water filtration process has three main stages: reading the water turbidity level using a turbidity sensor, regulating the water flow rate using a solenoid valve, and filtering the water using filter media. The system's operation can be monitored and controlled through a SCADA system. Both PLCs are connected using an OPC server for communication between the PLC and SCADA. The OPC server sends data from the PLC to the Wonderware InTouch application as the SCADA system. To monitor and control the SCADA system, users must log in to access the system.