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Rifki Fahrial Zainal

Universitas Bhayangkara Surabaya

Author-ID : 5987353

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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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

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

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

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.

Decision Support System for Inheritance Distribution According to Islamic Law Using the Forward Chaining Method Mas Nurul Hamidah; Arif Arizal; Andriano Lukas; Rifki Fahrial Zainal; Ani Dijah Rahajoe
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 2 (2021): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

The rapid development of information technology in all aspects of the field in this digital era is very important, such as in the fields of business economics, agriculture, culture and religion. In the religious field, technological advances will make it easier for people to learn and seek information in the religious field, as is the case in the issue of inheritance distribution which so far not all people understand it, and also the limited number of experts in the field of inheritance. Religious science is expected to provide a way to learn about inheritance easily, and with this expert system the community will be facilitated in terms of inheritance distribution problems using the forward chaining method, the system will be tested with a 100% accuracy level value in 10 tests with variables different heirs, from the test results, it is found that the system can be used properly.

Expert System for Diagnosis of Blood Fever Disease Dengue Using the Chaining and Backward Method Certainty Factor Rifki Fahrial Zainal; Eko Prasetyo; Achmad Irfan Ferdiansyah
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Dengue Hemorrhagic Fever is a disease that is quite popular in Indonesia. Judging from the large number of patients infected with the disease and not a small number of patients died due to not being helped immediately. Lack of public sensitivity to the symptoms of dengue hemorrhagic fever is what ultimately causes many casualties,due to late getting medical treatment. Thus, accurate analytical skills are needed in assisting the patient diagnosis process. The Backward Chaining method is a chain that is traversed from a hypothesis back to the facts that support the hypothesis, and the Certainty Factor is a method to prove whether a fact is certain. The system can be run if the user enters the symptoms experienced and provides a confidence value for the symptoms they are experiencing and then gets a diagnosis and a solution.

Decision Support System for Evaluation of Java Learning in Elementary School (SD) Using Cummulative Voting Method Fajrul Islam; Rani Purbaningtyas; Syariful Alim; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Javanese is a language used by Javanese ethnic groups in Central Java and East Java, learning Javanese should be done by Javanese people to carry on the language of ancestral heritage so that Javanese language will not disappear in the future. To support effective and flexible learning tools, learning evaluations are needed so that teachers know the extent of students' understanding of Javanese language, the purpose of this research is to make it easier for students to learn Javanese in the learning process and in order to make teachers evaluate. From these problems led to the idea to create a web-based application in which it can carry out an accurate assessment process using the Cumulative Votting method with a Likert Scale. The programming language uses PHP and the database uses MySQL. From the test results using a Likert Scale manual values tested at 3 places found the results, namely, Gresikan Village Elementary School students get an interval value of 67.5% with a "Good" Scale, Rautlatul Jannah Islamic Elementary School students get an interval value of 61.5% with a "Good" Scale, SDIT Nurul Fikri Students get an interval value of 61.5% with a "Good" Scale.

Disease Diagnosis System in Appel Plant Using Backward Chaining Method Rifki Fahrial Zainal; Rani Purbaningtyas; Dina Zahrotul Fadhilah
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Apples are one type of food that contains nutrients, vitamins and minerals that are very good for consumption because it has antioxidants that are good for the body. However, in cultivating these apple plants there are many obstacles, especially when the plant is attacked by disease. Diseases that attack apple plants greatly affect fruit production, because it can produce bad fruit and can result in the death of apple trees. The disease attack can be resolved quickly if it is able to identify the type of disease that attacks it quickly and precisely based on the symptoms that appear. So that the impact can be minimized as early as possible. The purpose of this research is to build an expert system of diagnosing diseases in apple plants by using the backward chaining method that can facilitate in providing information about the causes of the emergence of diseases and how to deal with apple plants quickly and accurately. From the application trial results with the Expert Diagnosis System in Apple Plant Diseases Using the Backward Chaining Method, users can find out the symptoms of diseases experienced by apple plants and test results by making comparisons using the forward chaining method the results are the same as backward chaining accuracy level of 100 % input from backward chaining is the same as output from forward chaining.

Online Based Academic Information System (case Study: SD. Hidayatur Rohman Asemrowo Surabaya) Rifki Fahrial Zainal; Rani Purbaningtyas; Mustofa
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

The influence of technology is very large, especially in the development of information. Accurate, fast, and precise information is very important for life today because information becomes a necessity in conveying something. The use of computers is one of the developments in information that is very useful because it can perform data processing, making reports and sending information remotely and in determining the potential of students. Determination of the potential is absolutely necessary by the school agency, namely the school, the guidance teacher has an important role in granting status to students. Determination of student potential requires special professional handling, because it involves the success of students in facing the examinations that will be given. Mistakes in determining students' readiness to face national exams can negatively affect the process and results of student exams themselves. So we need a method that can help minimize the impact of mistakes when determining the potential of these students, namely by grouping data techniques from the results of data mining. The need for data mining becauseof the large amount of data that can be used to produce useful information and knowledge. Naïve Bayes is a machine learning method that uses probability calculations. The use of this algorithm is considered appropriate because Naive Bayesian Classifier is one classification algorithm that is simple but has high capability and accuracy.

Honda Motorcycle Stock Forecasting System Using Double Exponential Smoothing Method (case Study of Honda Dealer PT Tommy Ferdiansyah; Rifki Fahrial Zainal; Arif Arizal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Stock in the warehouse of PT. Delta Sari Agung Sidoarjo is currently unstable, therefore between in and out stock is still out of control. Forecasting is estimating the state of the future through testing the state of the past. In social life, everything is uncertain and difficult to predict accurately, so forecasting is needed. In other words forecasting aims to get forecasting that can minimize forecasting errors (forecast error) which is usually measured by mean square error, mean absolute error, and so on. The Double Exponential Smoothing method is used for forecasting by determining the amount of α (alpha), as well as the smoothing process twice and this study is compared with ANNMatlab. From the results of the comparison of the trial system forecasting and JST-Matlab there is a difference of 16 motorbikes from the remaining stock, which is for the results of forecasting 622 and JST-Matlab 638 results.

Design of Mental Disorder Consultation System with Decision Tree Method Ahmad Sarif Hikmawan; Eko Prasetyo; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

level or category of disorders suffered by patients, so patients can be dealt with quickly according to the level of the disorder they suffer. Diagnosing the level of mental disorders using the expert system will record the symptoms of the patient and will diagnose the level of the disorder based on the knowledge obtained from an expert, the mental disorder expert system uses the Decision Tree method. in general is a system that seeks to adopt human knowledge to computers, so that computers can solve problems as they are usually done by experts or before consulting a psychologist without reducing the expert role of the psychologist or in other words expert systems are systems that are designed and implemented with help certain programming languages to be able to solve problems as experts do quickly and efficiently. It is hoped that with this system, lay people can be more sensitive in recognizing the level of psychiatry in person. As for the experts of this system can be used as an assistant or supporting the performance of psychologist officers. Based on the results of the system tests that have been done, the accuracy of 97.5% results and system error 2.5% and the percentage of each diagnosis, 32% psychosis, 27% Neurosis, 17% Learning Soldered, 12% Juvenile Delinquency and Growth Flower 10%.

Co-Authors Achmad Irfan Ferdiansyah Achmad Kiki Qushayri Wahyu Kusuma Adam Ridwan Afif Nuzia Al-Asadi Ahmad Sarif Hikmawan Akhmad Najmul Irfani Allexandro Billy Sukarta Andriano Lukas Ani Dijah Rahajoe Arif Arizal Bachtiar Azhari Deddy Gita A.P Dina Zahrotul Fadhilah Eko Prasetyo Erwin Dwi Riyanto Fajrul Islam Fardanto Setyatama Febriardi Mahendra 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 Rani Pubaningtyas Rani Purbaningtyas Rizky Yudha Pramudhika Shagi Hisyam Al Fathony Syariful Alim Tommy Ferdiansyah Wiwiet Herulambang

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