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All Journal JEECS (Journal of Electrical Engineering and Computer Sciences) INTER TECH
Rifki Fahrial Zainal
Universitas Bhayangkara Surabaya
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Classification of Diabetes Disease Using Naive Bayes Case Study : Siti Khadijah Hospital Ida Lailatul Qurnia; Eko Prasetyo; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (383.573 KB) | DOI: 10.54732/jeecs.v1i2.177

Abstract

Less knowledge about symptoms and how to treat the disease of diabetes mellitus as well as a number of specialist diabetes mellitus which is still limited is one of the causes of the growing number of people affected by the disease. Diabetes disease classification system development aims to predict the type of diabetes patient or user who already suffer from diabetes mellitus. Therefore this system is made to diagnose the type of diabetes through laboratory test results, namely in the form of gender, age, disease history, family history, systolic, diastolic tensi tensi, temperature, pulse, blood sugar, fasting blood sugar JPP and Random blood sugar. That is by using the method of naive bayes as a method to process data on the patient's diagnosis. Test results of this system indicates that the system is able to predict the type of diabetes in patients, from the amount of data as much as 200 patient data, with an output that is the form of Diabetes Without Complications, Diabetes Type II and Normal but obtained the lowest accuracy rating of 39% and the value of the highest accuracy of 80%.
Forecasting the Number of Brick Production Using the Method of Exponential Smoothing Holt-Winter (case Study: PT Sik Krian) Afif Nuzia Al-Asadi; Eko Prasetyo; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 1 No. 2 (2016): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.953 KB) | DOI: 10.54732/jeecs.v1i2.178

Abstract

PT. SIK is an industry that produces a light brick type of brick. At a certain period, some companies are rising and the decline in demand which is quite significant. This research aims to know the condition of the company to overcome the overstock in the warehouse. The methods used to conduct forecasting in this research is a method of Exponential Smoothing Holt-Winter with seasonal multiplicative component and the addition of seasonal. The value of alpha, beta and gamma used is 0.6, 0.1, and0.5. With the value of the parameter is capable of producing the best MSE values with the value 1 in forecasting the year 2011 in October for seasonal multiplicative component, and the value of 0.006 in MAPE and the same month. For the addition of a seasonal best MSE values obtained on forecasting in 2013 in February with the value and worth of 5.016 MSE MAPE 0.013. The results of this research, the company was able to reduce the buildup of inventory and maximizing production for the coming period without having to fear a shortage of stock and overstocking.
Application of Certainty Factor Method to Web-based Expert System for Chicken Disease Diagnosis Adam Ridwan; M Mahaputra Hidayat; Rifki Fahrial Zainal; Rahmawati Febrifyaning Tias; Rangsang Purnama; Akhmad Najmul Irfani; Noer Firda Yuana Ridhawaty
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 1 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v8i1.5

Abstract

This research aims to design an expert system to diagnose diseases in chickens. This system is designed to assist farmers in identifying diseases in chickens accurately and quickly. This expert system was built using the Certainty Factor method. Chicken disease data is collected from trusted sources, and rules are made to support the diagnostic process. This application is used to assist users in identifying chicken diseases based on the symptoms they input. This expert system is tested to see its ability to provide accurate and useful diagnosis for users. Therefore, this expert system of chicken disease diagnosis can be a useful solution in the field of animal husbandry.
Educational Data Mining for Mapping Student Ability Based on School Location Using Apriori Method Case Study : SMK YPM Sidoarjo M. Mahaputra Hidayat; Rifki Fahrial Zainal; Andi Alfian Efendi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v8i2.6

Abstract

With the advancement of information technology today, the need for accurate information is needed in everyday life, so that information will become an important element in the development of society today and in the future. However, the high need for information is sometimes not matched by the presentation of adequate information, often the information still has to be re-excavated from very large amounts of data. Traditional methods of analyzing existing data, cannot handle large amounts of data. Basically Senior High School is programmed for those who continue to a higher level, while the provision of skills can be said to be non-existent. Vocational High Schools can produce quality graduates in terms of work skills, therefore currently many companies require graduates from Vocational Schools. The purpose of this study is to create an application to obtain useful information about mapping the value of subjects, especially English at YPM Vocational School in Sidoarjo with data mining techniques and Apriori method. From the results of system testing, it shows that there is still a lack of National Examination Scores for English in most YPM Vocational Schools in Sidoarjo.
Pengenalan Tanda Lalu Lintas Berbasis Android: Augmented Reality Fahrial Zainal, Rifki; Febrifyaning Tias, Rahmawati; Setyatama, Fardanto; Hidayat, M. Mahaputra
INTER TECH Vol 2 No 1 (2024): INTER TECH
Publisher : Fakultas Teknik Universitas Bhayangkara Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/i.v2i1.1141

Abstract

Rambu-rambu jalan yang berfungsi sebagai petunjuk, peringatan, atau larangan bagi pengemudi langsung disebut rambu lalu lintas. Bisa berbentuk huruf, angka, kata, simbol, atau simbol lainnya. Namun salah satu tantangan dalam menerapkan hal ini adalah mencari tahu siapa yang perlu belajar dan di mana. Oleh karena itu, tujuan dari penelitian ini adalah untuk membuat aplikasi augmented reality pengenalan rambu lalu lintas di SD Negeri Sidorejo dengan pendekatan Marker Based Tracking pada platform Android. Penelitian ini memanfaatkan 25 titik data yang diambil dari buku Tim Permata Press Tentang Hukum Lalu Lintas & Angkutan Jalan. Rambu peringatan, rambu perintah, dan rambu larangan semuanya termasuk dalam data ini. Ditetapkan bahwa aplikasi ini harus dirancang dari Unity dengan memanfaatkan teknik berbasis penanda dan Mesin Vuforia untuk Pelacakan Berbasis Marker, berdasarkan temuan penelitian dan pengujian yang telah dilakukan. Aplikasi pembelajaran ini diujicobakan pada kelas 5 SD Negeri Sidorejo dan hasilnya dapat dijalankan pada Android versi 10 hingga 13.
Tinjauan Integrasi Teknologi Deep Learning Untuk Revolusi Industri Dalam Sistem Siber-Fisik Zainal, Rifki Fahrial; Alim, Syariful; Arizal, Arif; Purnama, Rangsang
INTER TECH Vol 3 No 1 (2025): INTER TECH
Publisher : Fakultas Teknik Universitas Bhayangkara Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/i.v3i1.1266

Abstract

An important development in industrial automation is the combination of deep learning with cyber-physical systems (CPS), which allows systems to make data-driven, intelligent decisions with little assistance from humans. With an emphasis on its capacity to handle massive amounts of data for tasks including object detection, semantic segmentation, predictive maintenance, and autonomous control, this research investigates the revolutionary effects of deep learning on CPS. It looks at how technology has developed from early frameworks that relied on visual cues to complex systems that use cutting-edge neural networks that can function in dynamic, unstructured contexts. The study also emphasizes how important it is to integrate ethical frameworks, organizational preparedness, and human-centered design in order to successfully implement CPS. This study analyzes important trends, obstacles, and best practices that influence the application of deep learning in CPS through an extensive examination of recent literature. The significance of CPS in facilitating the Industry 4.0 and Industry 5.0 paradigms—which prioritize sustainability, human-machine collaboration, and real-time adaptation in industrial processes—is given particular attention.
Menghitung Sisa Bagi Dari Bilangan Biner Dengan Banyak Digit Tak Terbatas Menggunakan Bagan Finite State Automata (FSA) Purnama, Rangsang; Zainal, Rifki Fahrial
INTER TECH Vol 3 No 2 (2025): INTER TECH
Publisher : Fakultas Teknik Universitas Bhayangkara Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/i.v3i2.1659

Abstract

Penelitian tentang penggunaan bagan Finite State Automata (FSA) untuk mencari sisa bagi dari dua bilangan dengan digit tak terbatas telah dilakukan di tahun 2024 [1]. Pada penelitian itu bilangan yang akan dicari sisa baginya (pembilang), dan bilangan pembaginya (penyebut), keduanya adalah bilangan desimal. Penelitian ini mencoba menyederhanakan penggambaran bagan FSA untuk proses yang sama. Dalam penelitian ini bilangan yang akan dicari sisa baginya, yang disebut sebagai pembilang, adalah bilangan biner yang hanya memiliki 2 (dua) simbol yaitu 0 dan 1. Adapun untuk bilangan pembagi atau penyebut tetap bilangan desimal. Bilangan desimal penyebut ini akan muncul sebagai nama state pada bagan FSA. Berdasarkan hasil ujicoba yang telah dilakukan, selain terbukti bahwa hasil perhitungan mendapatkan hasil yang benar yang didukung dengan penggunaan aplikasi MS Excel sebagai pembanding hasil perhitungan, penelitian ini juga memperlihatkan bahwa bagan FSA untuk hasil perhitungan sisa bagi yang dihasilkan dari penelitian ini lebih sederhana dibandingkan dengan penelitian terdahulu.
Decision Support System for Movie Recommendations Based on Multi User Preferences Using the Simple Additive Weighting Method Allexandro Billy Sukarta; M. Mahaputra Hidayat; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 2 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v7i2.22

Abstract

At this time advances in technology and information have experienced rapid progress, one of which is in the field ofentertainment, both audio and visual. And one of the entertainments is movies. With the increasing number of movies,there are several classifications of movie genres to assist users in finding and selecting movies to watch, but the genreclassification itself is still very general. Due to the above factors, especially in genre, subgenre, rating, movie durationwhich always develops over time according to a certain pattern and also audiences who have different moviepreferences, the researcher sees that there is a need for an application that can recommend movies with preferencesthat can be set according to the wishes of movie lovers. From the problems that arise, this research was built using theSimple Additive Weighting (SAW) method which aims to make it easier for users to determine which movie to choose.This system produces a web-based information system using several parameters, namely the main genre of a movie,subgenre, movie rating, movie duration, and year of making.
Design of Expert System Diagnosis of Catfish Disease with Forward Chaining Method Erwin Dwi Riyanto; Eko Prasetyo; Rifki Fahrial Zainal; Rani Pubaningtyas; Fardanto Setyatama; Wiwiet Herulambang; Syariful Alim; Rahmawati Febriyaning Tias
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 1 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v7i1.223

Abstract

The expert system can be used as a means for consulting and assisting experts and catfish breeders who areexperiencing problems in identifying catfish diseases and their solutions. So that this expert system can be accessedeasily by anyone and anywhere connected to the internet network, this expert system is made web-based. The MySQLdatabase used in this system will store facts that were built using the PHP programming language. Likewise, systemdevelopment is only limited to diagnosing catfish diseases. The output of this system is in the form of diseaseinformation in catfish and how to handle it. The form of research used by the author is a literature study and is appliedto experimental research. The software development method used by the author is to use the Forward Chaining methodwhich consists of rules. The results of the research that have been made, it is found that this website and expert systemmake it easy for ordinary people or beginners to cultivate catfish in order to produce healthy and superior catfish.
KNN and Webgis Classification to Recommend Mountain Location According to Hiker Abilities Shagi Hisyam Al Fathony; Ani Dijah Rahajoe; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 1 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v7i1.222

Abstract

The increasing number of climbers has an impact on the need for a system that can recommend mountains for climbingaccording to the ability of climbers. This study aims to create a system that can help climbers determine the mountainaccording to their abilities. Researchers use one of the methods in data mining, namely classification, using the K =Nearest Neighbor (K-NN) algorithm.This research has produced a web-based system where this system can classify and provide recommendationsaccording to the ability of climbers. This system is equipped with a hiking trail map which is expected to help make iteasier for climbers to choose the mountain they will climb.
Co-Authors Achmad Irfan Ferdiansyah Achmad Kiki Qushayri Wahyu Kusuma Adam Ridwan Afif Nuzia Al-Asadi Ahmad Sarif Hikmawan Akhmad Najmul Irfani Alim, Syariful Allexandro Billy Sukarta Andi Alfian Efendi Andriano Lukas Ani Dijah Rahajoe Arif Arizal Arif Arizal, Arif Bachtiar Azhari Deddy Gita A.P Dina Zahrotul Fadhilah Eko Prasetyo Erwin Dwi Riyanto Fajrul Islam Fardanto Setyatama Febriardi Mahendra Febrifyaning Tias, Rahmawati Ida Lailatul Qurnia Indah Sri Rahayu M Mahaputra Hidayat M. Mahaputra Hidayat Mas Nurul Hamidah Muhammad Rosyid Kurniawan Muhammad Saiful Irawan Mustofa Noer Firda Yuana Ridhawaty R Dimas Adityo Rahmawati Febrifyaning Tias Rahmawati Febriyaning Tias Rangsang Purnama Rangsang Purnama Rani Pubaningtyas Rani Purbaningtyas Rizky Yudha Pramudhika Shagi Hisyam Al Fathony Syariful Alim Tio Kukuh Ardiansyah Tommy Ferdiansyah Wiwiet Herulambang