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All Journal Techno.Com: Jurnal Teknologi Informasi JEECS (Journal of Electrical Engineering and Computer Sciences) NERO (Networking Engineering Research Operation)
Rahmawati Febrifyaning Tias
Universitas Bhayangkara Surabaya
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Prediction of Skincare Sales Turnover Using the Support Vector Method at the Widya Msglow Sidoarjo Company Oktaviana Isbirotin; Wiwiet Herulambang; Rahmawati Febrifyaning Tias; Rangsang Purnama; Ahmadi
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.v8i2.10

Abstract

Every entrepreneur will certainly follow technological developments in the business world. MsGlow is one of theskincare businesses. The skincare business is one of the businesses that must compete with rapid and complexchanges, and this very competitive makes business people have to think of strategies for business continuity in order to compete and also survive. One way that can be done is to utilize existing sales data. The importance of fast andprecise operational data processing, information system facilities can be an alternative to solving problems in dataprocessing, minimizing errors and accelerating the data processing process. As the number of sales transactionsincreases, there will be a buildup of data that has not been processed optimally. With the above problems, aforecasting system was created that can forecast skincare sales turnover using the Support Vector Machine (SVM)method. In this study, turnover in several areas will be forecasted. The kernel function variations used in SupportVector Machine (SVM) are RBF, Linear, and, Polynomial Degree 2. The results obtained from this research trialshow that the overall forecasting model is good. The accuracy of the three areas obtained with the RBF kernel has arelatively good MAPE. In the accuracy test to predict skincare sales turnover, the three areas got a fairly goodaccuracy value of 94.46%. In the Sidoarjo area, it is predicted that there will be a lot of decrease in turnover in 2023-2024.
Culinary Tourism Location Search Application Using Location Based Service Method In Jakarta City Area Based On Android Bella Risky Nasution; Rahmawati Febrifyaning Tias; Fardanto Setyatama; Mas Nurul Hamidah
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.v7i2.24

Abstract

Culinary diversity causes many types of restaurants and cafes in the city of Jakarta. The increasing number of culinarylocations makes it difficult for culinary connoisseurs to find locations and restaurants that match what they want.Therefore we need an application that has functional aspects in finding culinary locations. The application of the LocationBased Service (LBS) method in this application can help users to find the nearest culinary so that users can choose aculinary place that is closest to their location. Applications created using Android Studio with the Zomato API can makeit easier for people to find culinary locations around the city of Jakarta. By using Android mobile technology as anothermedium, people don't have to ask other people to find culinary spots. The program is tested to find out possible errors,this test uses Black Box testing and User Testing. Application testing to find culinary places in the city of Jakarta candisplay detailed information on the restaurants selected by the user and the test results are as expected.
Smart School Management System of Presence Monitoring Teacher as A Realtime with Rad (Rapid Application Development) Method at Khadijah High School Surabaya Rahmawati Febrifyaning Tias; Mas Nurul Hamidah; Arif Arizal; Fardanto Setyatama
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 1 (2021): 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.v6i1.190

Abstract

This research create an application for monitoring the presence of teachers when carrying out teaching activities in real time at Khadijah High School Surabaya. The method that will be used in making this application is to use the RAD (Rapid Application Development) method. The RAD method is an application development process based on prototyping, iteration, and repeated feedback. That way the applications that are made can be developed and repaired quickly and are in accordance with the needs and developments of the super-fast digital world. The process of testing this application is carried out by simulating the teaching and learning process carried out by the teacher and monitored directly by the principal in real time. Smart school management system application as a real-time monitoring of teacher attendance using the RAD (Rapid Application Development) method at SMA Khadijah Surabaya. The results of this study are very useful for school principals to monitor teachers in teaching and learning activities at Khadijah High School Surabaya and also make it easier for teachers to make attendance at teaching and learning activities every time.
Classification of The Nutrition Status Toddler Using the SVM Method (Case Study: Banjaragung Village, Bareng, Jombang) Eko Prasetyo; Rahmawati Febrifyaning Tias; Efilah Risqi Maulana
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 1 (2021): 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.v6i1.193

Abstract

Improving the health status of children under five is very necessary in determining the next generation of the Indonesian nation. One of the efforts that can be realized is to maintain the nutrition of children under five in the community. Balanced nutrition can increase immunity and increase intelligence so as to make normal growth. In social life, nutritional status is obtained through anthropometric measurements at a posyandu where people generally use the BB/U index or body weight compared to age to determine the nutritional status of toddlers. This study aims to make it easier to identify the nutritional status of toddlers using Data Mining with Support Vector Machine (SVM). system built with PHP programming language and postgreSQL database. This study uses data on 314 toddlers in 4 groups of posyandu in the village. The data was tested 2 times, the first with a 50:50 comparison and the second 70:30 for training data and testing data. The results showed an accuracy of 96% and 98%, in other words, SVM was categorized as good for testing the nutritional status of children under five.
Applications Learning Musical Instruments in Indonesia Using Augmented Reality Technology Rahmawati Febrifyaning Tias
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v5i2.93

Abstract

The 3-dimensional animation designed and presented as learning media has grown rapidly nowadays, 3-dimensional animated characters in regional musical instruments can be one of the learning media for the general public especially children. How to present different learning 3-dimensional animation content, can attract the general public and children to learn, one of them using augmented reality technology. Augmented reality is the practice of combining image media with a 3-dimensional object that brings out 3- dimensional objects from cyberspace to the real world. This way can be a form of learning, where users can see and understand that learning can be conveyed through efficient learning, in the concept of augmented reality, users not only play with this application but can Learn knowledge about regional musical instruments in Indonesia. Development of the learning system of Multimedia applications regional musical instruments in Indonesia using Augmented Reality technology is able to provide knowledge in learning that is not only in general public but also for children Children who want to add insight into the knowledge of regional culture art, especially local musical instruments in Indonesia
Forecasting Sales of Premium Oil Fuel, Pertalite, Pertamax, Pertamax Turbo and Bio Solar Using the Method Exponential Moving Average (EMA) (case Study: Klampis Gas Station Surabaya) M Mahaputra Putra; Rahmawati Febrifyaning Tias; Ayu Dwi Safitri
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v5i1.104

Abstract

Along with the development and progress of current technology, fuel oil is one of the basic needs for both industry and transportation, demands will this fuel service becomes very important, and pertamina as the material provider fuel oil, must be able to guarantee the availability and smoothness of fuel products oil. The purpose of this study is to predict the amount of premium sales, pertalite, bio solar, Pertamax, and Pertamax turbo at Klampis Surabaya gas station for 2018 by using the forecasting method Exponential Moving Average ( EMA). Based on the results data processing carried out it can be concluded that the forecasting method that period 30 days are more accurate in predicting Premium, Pertalite, and Bio Solar 2018. And the 365 day period more accurate in predicting Pertamax, and Pertamax Turbo. Based on comparison of values MSE with MAPE, it can be concluded that using the MSE method to find values more good errors in this study. Based on the comparison of MSE values with MAPE, it can be concluded that using the MSE method to find better error valuesin this research.
Forecasting of Total Stock Raw Materials of Double Exponential Smoothing Method (study: PT. Charoen Pokphand Indonesia) Rani Purbaningtyas; Rahmawati Febrifyaning Tias; M. ZAINAL ABIDIN
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v4i2.109

Abstract

Inventory control at a company is very important in determining the efficiency of warehouse functions. Uncertain information about the availability of goods in the warehouse affects the decision to be taken in determining the amount of ordering goods. So that it has difficulty in predicting stock in the next month. The negative effect in the future if one predicts the stock will experience excessive stock build up. This study aims to create an application that can help facilitate and maximize the performance of warehouse administration employees in predicting the number of goods that must be ordered for the next period. Forecasting method used is the double exponential smoothing method. This method requires data information in previous years so that in this study took data 4 years earlier. With this forecasting method the forecasting results are obtained close to the actual data. From the results of testing the system imposed on 3 data obtained a system accuracy of 60%.
Decision Support System for Selecting Tourism Object in Surabaya City Using Simple Additive Weighting Based on Android Putri Agustin Merditawati; M Mahaputra Hidayat; Rahmawati Febrifyaning Tias
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 1 (2018): 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.v3i1.142

Abstract

In this final project will discuss the implementation of the Decision Support System Attractions in Surabaya usingSimple Additive weighting. Issues to be taken is to obtain the best results of 50 attractions in Surabaya based on thelocation of the user to take advantage of the Android-based operating system, to make it more easier for users toaccess these applications. To obtain the value of the distance criterion, the application is using the formulaHaversine. The results of the election decision support system application attractions in Surabaya using SimpleAdditive weighting method is the obtainment of the highest values of attractions based on user location with weightsto each criterion especially distance criterion which has a weight of 0.3.
Identification of Nutrient Nitrogen in the Leaves of Soybean Plants Using ANFIS Based On Soybean Leave Colour Rahmawati Febrifyaning Tias
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 | DOI: 10.54732/jeecs.v1i2.173

Abstract

The social demand for soybeans increas continously along with the growth of population. Increasing production of soybeans has many obstacles, among others attacked a variety of pests, diseases and nutrient deficiencies. In this research discusses the nutrients nitrogen deficiency symptoms based on soybean leaf colour. An Agricultural expert is needed to determine its cause. However, limited number of Agricultural Experts can not solve the Farmers problem at the same time. Therefore, systems are needed for early identification accurately of nutrient nitrogen in soybean leaves. In this research uses “ Adaptive Neuro-Fuzzy Inference System (ANFIS) Methode” which is expected success rate of 80%.
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.
Co-Authors Adam Ridwan Ahmadi Akhmad Najmul Irfani Arif Arizal Ayu Dwi Safitri Bella Risky Nasution Efilah Risqi Maulana Eko Prasetyo Fardanto Setyatama M Mahaputra Hidayat M Mahaputra Putra M. ZAINAL ABIDIN Mas Nurul Hamidah Noer Firda Yuana Ridhawaty Oktaviana Isbirotin Putri Agustin Merditawati Rangsang Purnama Rani Purbaningtyas Rifki Fahrial Zainal Rifki Fahrial Zainal Tio Kukuh Ardiansyah Wiwiet Herulambang