Articles
<![CDATA[Klasifikasi Keparahan Demensia Alzheimer Menggunakan Metode Convolutional Neural Network pada Citra MRI Otak: Classification of Alzheimer's Dementia Severity Using Convolutional Neural Network Method on MRI Image of Brain ]]>
<![CDATA[Mochammad Faizal Nazil]]>;
<![CDATA[Aga Bagus Firmansyah]]>;
<![CDATA[Rani Purbaningtyas]]>
<![CDATA[ MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 3 No. 1 (2023): MALCOM April 2023 ]]>
Publisher : <![CDATA[Institut Riset dan Publikasi Indonesia ]]>
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DOI: 10.57152/malcom.v3i1.200
<![CDATA[Klasifikasi Gambar adalah bidang yang telah menemukan jalan ke berbagai aspek kehidupan, seperti pencarian gambar, pengenalan wajah, dan riset pemasaran. Alzheimer, penyakit neurodegeneratif yang belum ada obatnya, umumnya terdeteksi menggunakan MRI dan gejala yang dilaporkan oleh si penderita. Namun, kesalahan diagnosis sering terjadi karena gejala usia tua dan gejala Alzheimer yang tumpang tindih, dan pemeriksaan jaringan otak untuk diagnosis yang jelas hanya dapat dilakukan setelah kematian. Dengan harapan untuk memperbaiki proses ini, maka dikembangkanlah model jaringan saraf tiruan untuk mengklasifikasikan tingkat keparahan demensia Alzheimer untuk membantu dokter meninjau ulang dan meningkatkan akurasi diagnosis. Untuk melakukan ini, kami menggunakan set gambar MRI dengan 4 kelas dan Convolutional Neural Networks (CNN) dari metode pembelajaran awal dan transfer. Metode yang kami temukan yang paling akurat memprediksi kelas Alzheimer dari pemindaian MRI adalah Convolution Neural Network.]]>
<![CDATA[Study Program Classification System Informatics Engineering of Ubhara Surabaya ]]>
<![CDATA[Wahyu Dyah Rizki Septiana]]>;
<![CDATA[Eko Prasetyo]]>;
<![CDATA[Rani Purbaningtyas]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v5i1.98
<![CDATA[One indicator to improve the quality of a university is the number of students who graduate on time. But the problem that often occurs at Bhayangkara University in Surabaya is the number of students entering and the number of students graduating unbalanced. Therefore this research was made to classify the period of study of students by using variables in the form of social studies semester 1-4, school origin, work status, morning / evening class status, and sex. This study aims to classify the length of time a student studies on time or late using the naïve bayes method. The results of this study indicate that the system is able to classify training data and test data on experiments conducted in each batch, the highest accuracy results are 59% and the lowest accuracy results are 56%.]]>
<![CDATA[Decision Support System for Evaluation of Java Learning in Elementary School (SD) Using Cummulative Voting Method ]]>
<![CDATA[Fajrul Islam]]>;
<![CDATA[Rani Purbaningtyas]]>;
<![CDATA[Syariful Alim]]>;
<![CDATA[Rifki Fahrial Zainal]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v5i1.101
<![CDATA[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.]]>
<![CDATA[Determination of The Best Location Garden of Public Reading (TBM) in Surabaya Using the Method Analysis Overlay and AHP ]]>
<![CDATA[Dzulfikar Revelation Rosyidi]]>;
<![CDATA[Rani Purbaningtyas]]>;
<![CDATA[Fardanto Setyatama]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v5i1.103
<![CDATA[The growth of organizations in the field of literacy is very good for the development of children's interest in reading and insight at an early age, especially in the city of Surabaya. Taman Bacaan Masyarakat (TBM) is an organization that has an important role to support and facilitate the community in seeking knowledge in the field of literacy in particular. The addition of TBM in Balai RW, Kelurahan, Kecamatan, and in the corners of community crowds is a tangible manifestation of the role of the Surabaya City Library and Archives Service as the authority that intersects directly in the field of literacy to facilitate the reach of the public in finding quality sources of information. However, several technical factors influence the selection of TBM addition locations that are still very objective. And the limited budget for the establishment of TBM also affects the number of TBM founding locations]]>
<![CDATA[Evaluation of Understanding of Safety, Health and Safety (K3) Using the Method Cumulative Voting (case Study of PT. Kencar Sukses Investama) ]]>
<![CDATA[Wildansyah Rokhmana Putra]]>;
<![CDATA[Rani Purbaningtyas]]>;
<![CDATA[Eko Prasetyo]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v5i1.107
<![CDATA[Every employee who works must understand safety in order to create a conducive work environment and Zero Accident. This study aims to create an Evaluation System for Understanding Safety, Health and Safety (K3) by using the Cumulative Voting Method so that it can optimize the quality of K3 in the company to be more effective and efficient. From the application trial results obtained the results of the validity test between manual data and application data have a difference in the results because the manual workmanship is calculated with a manual averagewithout any cumulativevalue of each item being tested. Application of K3 Comprehension Evaluation with Cumulative Voting Method can also prevent or minimize user input errors.]]>
<![CDATA[Disease Diagnosis System in Appel Plant Using Backward Chaining Method ]]>
<![CDATA[Rifki Fahrial Zainal]]>;
<![CDATA[Rani Purbaningtyas]]>;
<![CDATA[Dina Zahrotul Fadhilah]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i2.108
<![CDATA[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.]]>
<![CDATA[Forecasting of Total Stock Raw Materials of Double Exponential Smoothing Method (study: PT. Charoen Pokphand Indonesia) ]]>
<![CDATA[Rani Purbaningtyas]]>;
<![CDATA[Rahmawati Febrifyaning Tias]]>;
<![CDATA[M. ZAINAL ABIDIN]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i2.109
<![CDATA[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%.]]>
<![CDATA[Online Based Academic Information System (case Study: SD. Hidayatur Rohman Asemrowo Surabaya) ]]>
<![CDATA[Rifki Fahrial Zainal]]>;
<![CDATA[Rani Purbaningtyas]]>;
<![CDATA[Mustofa]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i2.110
<![CDATA[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.]]>
<![CDATA[Kidney Disease Diagnosis in Human Using the Backward Chaining Method ]]>
<![CDATA[Devi Ayu Ariyanto]]>;
<![CDATA[Wiwiet Herulambang]]>;
<![CDATA[Rani Purbaningtyas]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i1.119
<![CDATA[Kidney disease is a disease that must be avoided by everyone. Because this disease is difficult to detect and often threatens a person's life. The problem that often occurs is that the kidneys are not functioning properly, so the body does not try to reject enough water, salt, and other materials that can cause death unless the treatment is analyzed. An accurate analytical ability is needed in determining the diagnosis of a person's kidney condition. But with the convenience of expert doctors, sometimes there are also disadvantages such as limited working hours (training) and the number of patients so they have to wait in line. The backward chaining method is an inference method that performs the search process starting from the goal, which is the conclusion of the solution to the problem at hand. Stages that must be done is to find a set of data or facts, from the facts sought conclusions that are the solution of the problem at hand. The system can be run if the user chooses a disease and chooses the symptoms that are felt and then gets a diagnosis and a solution, and medication.]]>
<![CDATA[Calculation of Android Based Eggtray Production Based Prices Using Moving Average Method (case Study of PT. Sinar Era Box Gresik) ]]>
<![CDATA[Dani Marido]]>;
<![CDATA[Rani Purbaningtyas]]>;
<![CDATA[Mas Nurul Hamidah]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i1.127
<![CDATA[The price of the staple production based on activities is how to determine a fee by way of tracing the activities of an organization the company in generating an item. This is intended so that the largest cost breakfast buffet in producing goods itself. In addition the existence of a desire of the company to produce goods and costs as effectively as possible. Tracking the cost of these activities through automatic menegement parties can manage cost effectiveness. To find out the price of a staple production of PT.Sinar Era Box Gresik, then on the basis of the research that's going on. Research carried out using moving average algorithm (moving average), while the data is the data that comes from the PT.Sinar Era Box Gresik. This research resulted in the value of the production cost of goods based on the average price moves in can be of any purchase of goods.]]>
