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Data Mining Implementation to Predict Sales Using Time Series Method Agung Triayudi; Sumiati Sumiati; Thoha Nurhadiyan; Vidila Rosalina
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2028

Sales transaction data histories can be used to predict the possibility of sales transaction that will occur in the future. These characteristics are in accordance with forecasting using time series method where this method uses previous data as tools to predict transaction value that will appear in the present time. Company X that runs its business by sell their product through distributors has sales data that is not optimally utilized. The average number of sales per year ranges from 5000 transactions which is not use to forecast transactions hereafter. Transaction data is stored in the company database so that data mining technology can be applied to support company X transaction data collection from previous year. The data is processed in applications where the results of forecasting are compared with real data in 2018 to see the accuracy of the forecasting results. The graphic that shown in application has pattern which can use for forecasting. From the forecasting method used, it can be seen that the forecasting results show data that came out did not produce data that matched the real data where the highest level of accuracy was 99.68% and the lowest accuracy was still above 50%.

Development of Formalin Tester Device for Food Using Microcontroller AT89S51 Iswanto Iswanto; Prisma Megantoro; Nia Maharani Raharja
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2029

This article discusses the manufacture of formaldehyde content test kit device. The device made can find out whether formalin or samples that are dropped are reagents, its characteristics can be processed electronically to determine the levels of formalin detected in the reagent/test kit. The design is made using AT89S51 microcontroller. Detection of formaldehyde levels using a color measurement method for reagent fluids consisting of R, G, and B values. Measurement of these color parameters using the TCS230 sensor. With this device, it is expected to facilitate health workers, especially health analysts, to automatically test the level of formaldehyde in food with a display on the LCD. The result of device test, this device is feasible to use by the percent error value of less than 10%.

RAIKU: E-Commerce App Using Laravel Salsabila Nurulfarah Mahmudah; Bana Handaga; Reza Armando Wibowo
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2030

Raiku is an e-commerce site-based app which developed with Laravel. The function of this app is to expand marketing network of Raiku Design business. After 2 months Raiku been hosting, there is an increase on the world visitors’ numbers about 557 people. It is not only accessed by Indonesian, but also accessed around the world such Canada, United States, Australia, Germany, Great Britain, Chile, Russian Federation, India, China, South Korea, Israel, Netherlands, Ireland, Italy, and there are still more.

Estimated Profits of Rengginang Lorjuk Madura by Used Comparison of Holt-Winter and Moving Average Erwin Prasetyowati; Imron Rosyadi NR; Matsaini Matsaini
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2031

Rengginang Lorjuk is a typical Madura food that is ordered more by SMEs and is found in Sumenep Regency and several other areas in Madura. This product is made for supplies and orders, where demand will surge at certain times. Therefore, SMEs of Rengginang Lorjuk is required to have good planning in determining the selling price in accordance with the revenue target obtained. Considering that the main raw materials used are sticky rice and ensis leei (lorjuk) are raw materials that have fluctuating prices, this studio compares forecasting methods namely Holt Winter (HW) and Moving Average (MA), supported by MSE and MAPE, in order to obtain accurate forecasting results. These forecasting results show that HW has better accuracy than the MA, which is then used to calculate the cost of production with an Activity-Based Costing system, which requires charging costs for all activities carried out in production, namely the cost of raw materials, direct labor costs, and overhead factory fee. Using MAPE values, this study yields 4 estimates of production costs in accordance with changes in raw material costs.

The Effect of Using Histogram Equalization and Discrete Cosine Transform on Facial Keypoint Detection Adhi Kusnadi; Lionissa Ratnawati Darmawan; Ivransa Zuhdi Pane; Syarief Gerald Prasetya
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2032

This study aims to figure out the effect of using Histogram Equalization and Discrete Cosine Transform (DCT) in detecting facial keypoints, which can be applied for 3D facial reconstruction in face recognition. Four combinations of methods comprising of Histogram Equalization, removing low-frequency coefficients using Discrete Cosine Transform (DCT) and using five feature detectors, namely: SURF, Minimum Eigenvalue, Harris-Stephens, FAST, and BRISK were used for test. Data that were used for test were obtained from Head Pose Image and ORL Databases. The result from the test were evaluated using F-score. The highest F-score for Head Pose Image Dataset is 0.140 and achieved through the combination of DCT & Histogram Equalization with feature detector SURF. The highest F-score for ORL Database is 0.33 and achieved through the combination of DCT & Histogram Equalization with feature detector BRISK.

Image Restoration Effect on DCT High Frequency Removal and Wiener Algorithm for Detecting Facial Key Points Adhi Kusnadi; Vincent Anderson Ngadiman; Ivransa Zuhdi Pane; Syarief Gerald Prasetya
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2033

This study aims to figure out the effect of using Histogram Equalization and Discrete Cosine Transform (DCT) in detecting facial keypoints, which can be applied for 3D facial reconstruction in face recognition. Four combinations of methods comprising of Histogram Equalization, removing low-frequency coefficients using Discrete Cosine Transform (DCT) and using five feature detectors, namely: SURF, Minimum Eigenvalue, Harris-Stephens, FAST, and BRISK were used for test. Data that were used for test were obtained from Head Pose Image and ORL Databases. The result from the test were evaluated using F-score. The highest F-score for Head Pose Image Dataset is 0.140 and achieved through the combination of DCT & Histogram Equalization with feature detector SURF. The highest F-score for ORL Database is 0.33 and achieved through the combination of DCT & Histogram Equalization with feature detector BRISK.

Combination of Genetic Algorithm and Brill Tagger Algorithm for Part of Speech Tagging Bahasa Madura Nindian Puspa Dewi; Joan Santoso; Ubaidi Ubaidi; Eka Rahayu Setyaningsih
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2034

Part of speech (POS) is commonly known as word types in a sentence such as verbs, adjectives, nouns, and so on. Part of Speech (POS) Tagging is a process of marking the word class or part of speech in every word in a sentence. Part of Speech Tagging has an important role to be used as a basis for research in Natural Language Processing. That is why research on Part of Speech Tagging for Bahasa Madura as an effort to preserve and develop the use of regional languages. In this research, POS Tagging is done using the Brill Tagger Algorithm which is combined with the Genetic Algorithm. Brill Tagger is a POS Tagging Algorithm that has the best level of accuracy when implemented in other languages. Genetic Algorithms used in the contextual learner process with consideration in previous studies can increase the speed of the training process so that it is more efficient. The results of this study are then compared with the results of the previous study so that we can find out suitable algorithms used for the development of text processing in Bahasa Madura. From a series of experiments, the average accuracy obtained by using Brill Tagger is 86.4% with the highest accuracy of 86.7%, while using GA Brill Tagger shows an average accuracy of 86.5% with the highest accuracy of 86.6%. Testing by observing OOV (Out of Vocabulary) achieves an average accuracy of 67.7% for Brill Taggers and 64.6% for GA Brill Taggers. Testing by considering multiple POS with Brill Tagger produces an average accuracy of 73.3% while testing using GA Brill Tagger produces an average accuracy of 90.9%. This shows that the accuracy with GA Brill Tagger is better than Brill Tagger, especially if considering multiple POS. This is because GA Brill Tagger can generate rules for handling the existence of multiple POS more than pure Brill Tagger.Part of speech (POS) is commonly known as word types in a sentence such as verbs, adjectives, nouns, and so on. Part of Speech (POS) Tagging is a process of marking the word class or part of speech in every word in a sentence. Part of Speech Tagging has an important role to be used as a basis for research in Natural Language Processing. That is why research on Part of Speech Tagging for Bahasa Madura as an effort to preserve and develop the use of regional languages. In this research, POS Tagging is done using the Brill Tagger Algorithm which is combined with the Genetic Algorithm. Brill Tagger is a POS Tagging Algorithm that has the best level of accuracy when implemented in other languages. Genetic Algorithms used in the contextual learner process with consideration in previous studies can increase the speed of the training process so that it is more efficient. The results of this study are then compared with the results of the previous study so that we can find out suitable algorithms used for the development of text processing in Bahasa Madura. From a series of experiments, the average accuracy obtained by using Brill Tagger is 86.4% with the highest accuracy of 86.7%, while using GA Brill Tagger shows an average accuracy of 86.5% with the highest accuracy of 86.6%. Testing by observing OOV (Out of Vocabulary) achieves an average accuracy of 67.7% for Brill Taggers and 64.6% for GA Brill Taggers. Testing by considering multiple POS with Brill Tagger produces an average accuracy of 73.3% while testing using GA Brill Tagger produces an average accuracy of 90.9%. This shows that the accuracy with GA Brill Tagger is better than Brill Tagger, especially if considering multiple POS. This is because GA Brill Tagger can generate rules for handling the existence of multiple POS more than pure Brill Tagger

Performance Analysis Of Balinese Kulkul Beats Information System Based on Website and Android Using ISO 9126 I Gusti Made Ngurah Desnanjaya; I Gede Iwan Sudipa; I Wayan Dani Pranata
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2035

Bali is known for its tourism and culture, the most viscous Balinese culture to date is consultation or cooperation. This can be seen from the many upakara (ceremonial) activities involving local communities, such as upakara dewa yadnya, manusia yadnya, and bhuta yadnya. In providing ceremonial information in an area in Bali, involving banjar or kulkul users. Kulkul in Bali is a traditional information medium that is still used to convey information about death, deliberation, and disaster in an area. However, people who live outside the village cannot hear information through the sound of kulkul. In this study, the Android-based Kulkul Beats Website and Information System was pre-built, but it is necessary to perform analysis of its performance testing. The system can provide information about the beat of the kulkul and is able to control the kulkul through the android app. It can also provide information about beats and will be displayed on the website, as well as controlling the kulkul through the android app. Android system testing using black box testing. From ISO 9126 test results, the functionality aspect gets a value of 1, where the function test has run 100% correctly. Test results of 100% reliability aspect test with success results. Usability test results showed 65.9% (good) results with Alpha Cronbach 0.969 (excellent). The efficiency aspect test results got a C with an average score of 77.2 and an average load time of 1.44 seconds.

Water Contents and Monoglycerides as Development Role of Biodiesel Standard in Indonesia for B30 Implementation Hermawan Febriansyah; Ary Budi Mulyono; Nibras Fitrah Yayienda; Febrian Isharyadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2036

Since 2016, Indonesia has implemented a policy of mixing biodiesel into diesel oil by 20 percents, also known as B20, based on regulation of the Minister of Energy and Mineral Resources number 12/2015. B20 is applied to all sectors that use diesel oil. In 2020, Indonesia continues to implement B30. Indonesia is the first nation in the world to implement B30, so Indonesia need biodiesel standard, especially biodiesel based from palm oil. This study is to present development standard of biodiesel in Indonesia. This study based on literature studies, discussion and biodiesel test sampling. The discussion is established by forum group discussion that consisting of government, industries and laboratories, and also by surveys to producers to take the biodiesel sample. This study result that the development of biodiesel standard in Indonesia is done by both road test and laboratory test. Monoglyceride and water content are the main concern of the validation of the biodiesel standard to implement B30 in Indonesia.

Search Engine for Halal Linked Open Data Using Entity Ranking Approach Ahmad Choirun Najib; Nur Aini Rakhmawati
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 2: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2037

Halal concept is an essential aspect of Muslim daily life. Currently, many organizations around the world provide halal certification services as known as halal certification bodies. In the majority, these organizations provide halal product information on their website. However, information is presented in different formats, such as pdf, table, and text. As a result, the user is difficult to search for information on these websites. Therefore, we develop search engine on halal linked open data to facilitate users for searching halal products. We use an entity ranking approach to retrieve relevant items based on user queries that consist of an independent-ranking and dependent-ranking method. Independent ranking employs a link-count approach to indicate the information richness of the entity. Dependent ranking employs term frequency-inverse entity frequency (TF-IEF) to measure the similarity of an entity based on terms. We use Apache Lucene to perform indexing and search process. Also, we use the Neo4j graph database to save entity ranking computation results. The results show that the system delivers excellent results. The Mean Average Precision (MAP) for top-5 results is 91,2%.

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Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota yogyakarta,

Daerah istimewa yogyakarta

INDONESIA