Papers by heribertus himawan
International Journal of Scientific & Technology Research, Jun 25, 2020
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Jurnal Pseudocode, Feb 4, 2015
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Traffic light is a very important tool for urban life in regulating the smooth flow of traffic on... more Traffic light is a very important tool for urban life in regulating the smooth flow of traffic on the highway. The use of traffic lights are now much more applied using static timing system or a traffic light system which does not know the condition of the crossing are many vehicles or fewer. Timing pattern that is applied from one segment to another segment is set in rotation. In the study conducted to design a traffic light prototype based on multi- agent using fuzzy logic which is planted on the microcontroller. There are two parts and types of microcontrollers are used to design the prototype. The first part, the Slave microcontroller Atmega 32 and the second type, the type of Master mikontroler Atmega 128. Traffic light system which can adapt to the environment made the crossing. If there is a deviation of the queue of vehicles which have very much, then the green light time longer than the deviation that only have a little queue of vehicles. Thus, the traffic light is more adaptive to the dynamic vehicle that will cross the intersection. Traffic lights can also communicate with traffic lights nearest neighbors in both directions. Communication is done through mutual give information about the number of vehicles that left deviation towards each junction nearest neighbors. Results of this study found that the performance of fuzzy logic embedded in the microcontroller can control traffic lights with dynamic adaptive to existing vehicles on Line 1, Line 2 and Line 3. Prototype designed traffic lights represent the environmental conditions that have multiple intersections and each intersection has four traffic lights that can communicate with Multi Agent another intersection nearest neighbors.
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Prediction of the study period in college is needed in determine the accuracy of the students stu... more Prediction of the study period in college is needed in determine the accuracy of the students study period according to the specified time so that wisdom of prevention related to the study period is no ton time could be done. This research aims to find patterns to predict the timely graduation of students usingdata mining techniques and models to predict long period of study was Decision tree algorithm C4.5 to compare with ID3 and CHAID algorithms using test data to determine the percentage of precision, recall and accuracy is obtained that the algorithm Decision Tree C4.5 has a better performance compared with other algorithms. From this research it was found that the prediction of the students study period are affected by incoming students age, gender, GPA semesters 1 through 4 semesters GPA and the most influential is the 4th semester GPA of students graduate on time with a value of 0.340 gain of all attributes. Decision tree algorithm C4.5 reaches the highest accuracy on the amount of data 389 with 91.51% accuracy values for k-fold=3, 90.75 for k-fold = 5 and 90.77 with k-fold = 10, While ID3 and CHAID algorithms achieving a low accuracy value. So thus the value accuracy of Decision Tree algorithm C4.5 is better than the ID3 and CHAID algorithm. In this research, training data are used as much as 389. To see better performance in the accuracy of the results of each algorithm, thus for furthermore research the number of data records used training process should be improved.
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The Journal of Asian finance, economics and business, Sep 30, 2020
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Jurnal ilmiah administrasi bisnis dan inovasi, Aug 5, 2022
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JAIS (Journal of Applied Intelligent System), Aug 16, 2018
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To improve profitability, it is now not a few companies that have used information technology as ... more To improve profitability, it is now not a few companies that have used information technology as a tool in their business processes. It is also seen in the company's retail, eg supermarkets or grocery stores and supermarkets are competing to improve services. One way to improve services by providing sufficient stocks are sought by customers. A spending patterns can be formed from transactions made by consumers. Of consumer shopping behavior can be attributed to a pattern of spending to support decision making in the provision of goods. In addition, the relationship between the items with each other will also be visible. In this paper, the authors apply the apriori algorithm to determine the relationship between a product and through this study is expected to be found steps in implementing these algorithms and known whether important information can be obtained from transaction data store market basket analysis techniques. The paper entitled priori ALGORITHM IMPLEMENTATION FOR CONSUMER SPENDING PATTERNS PHOTOGRAPHING STORE A THREE-This may be a reference in the marketing strategy so that the store can earn greater profits. Managers will also be easier to take decisions in the procurement of goods and promotions with this application. Keywords: priori, market basket analysis, consumer spending patterns, transaction
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Matrik: jurnal manajemen, teknik informatika, dan rekayasa komputer, Mar 31, 2023
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The Majors is one of the placement or distribution process in the selection of high school studen... more The Majors is one of the placement or distribution process in the selection of high school students teaching program. In these majors, students are given the opportunity to choose majors that best matches the characteristics themselves. The accuracy in choosing majors can determine the success of student learning. In contrast, an excellent opportunity for students will be lost due to lack of inaccuracy in determining the majors. In the 2013 curriculum, majors in high school started in class X after being accepted as a student, so the school should really be able to classify students on the correct corresponding majors talents and interests of students. In studies using the C4.5 algorithm to create a predictive model results placement of students because this method has been used a lot in previous studies to predict the various cases problems with good results. This is evident from the results of the C4.5 algorithm generates a classification accuracy of 96.04% value with a precision of 95.96% class, class recall of 95.92% while the value of AUC (Area Under the Curve) of 0948 + / - 0.028 with very good category. It can be concluded that in order to predict the value of the majors C4.5 algorithm produces accuracy that is very good value.
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Prepaid Energy Meter has been implemented in several countries. In fact, the disadvantage of the ... more Prepaid Energy Meter has been implemented in several countries. In fact, the disadvantage of the system is the behavior control of the users. Recharging should be carried out on the meter. The problem arises when the consumers leave and the electric pulses discharged. Therefore, a system is needed to control the electrical pulse wherever they are. Prepaid energy meter is proposed and simulated by using PROTEUS software. The system was designed by using ATmega128 as a microcontroller. This paper evaluates the accuracy of voltage and current measurement that produced by the model. The simulations show that our proposed prepaid energy meter produces minimum error compared to the actual volt and actual ampere meter.
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MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer
One of the strategies a company uses to retain its customers is Customer Relationship Management ... more One of the strategies a company uses to retain its customers is Customer Relationship Management (CRM). CRM manages interactions and supports business strategies to build mutually beneficial relationships between companies and customers. The utilization of information technology, such as data mining used to manage the data, is critical in order to be able to find out patterns made by customers when processing transactions. Clustering techniques are possible in data mining to find out the patterns generated from customer transaction data. Fuzzy C-Means (FCM) is one of the best-known and most widely used fuzzy grouping methods. The iteration process is carried out to determine which data is in the right cluster based on the objective function. The local minimum is the condition where the resulting value is not the lowest value from the solution set. This research aims to solve the minimum local problem in the FCM algorithm using Genetic Programming (GP), which is one of the evolution-...
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Jurnal ilmiah administrasi bisnis dan inovasi, Aug 5, 2022
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Pseudocode, 2015
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2015 2nd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 2015
Prepaid Energy Meter has been implemented in several countries. In fact, the disadvantage of the ... more Prepaid Energy Meter has been implemented in several countries. In fact, the disadvantage of the system is the behavior control of the users. Recharging should be carried out on the meter. The problem arises when the consumers leave and the electric pulses discharged. Therefore, a system is needed to control the electrical pulse wherever they are. Prepaid energy meter is proposed and simulated by using PROTEUS software. The system was designed by using ATmega128 as a microcontroller. This paper evaluates the accuracy of voltage and current measurement that produced by the model. The simulations show that our proposed prepaid energy meter produces minimum error compared to the actual volt and actual ampere meter.
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"Keterlambatan waktu pengiriman barang sesuai dengan jadwal yang sudah ditentukan merupakan ... more "Keterlambatan waktu pengiriman barang sesuai dengan jadwal yang sudah ditentukan merupakan salah satu masalah yang dihadapi oleh PT. Sai Apparel Industries Ltd, semua itu terjadi karena perusahaan belum dapat mengoptimalkan waktu dan sumberdaya yang ada. Kondisi seperti ini sering dijumpai pada industri yang menerima pesanan, maka dari itu perusahaan harus dapat memproduksi suatu produk dengan kualitas baik dalam waktu sesingkat mungkin dan berkualitas. Untuk memenuhi hal tersebut, perusahaan harus menjadwalkan pembuatan produknya untuk menekan waktu produksi. Optimalisasi dilakukan untuk mendapatkan hasil yang maksimal dengan memanfaatkan sumberdaya yang ada. Tujuan penelitian ini adalah untuk merancang sebuah interface aplikasi optimalisasi waktu produksi yang sederhana, lengkap, memiliki kinerja yang cepat serta mudah dipahami sehingga dapat menjadi alat bantu untuk mengoptimalkan waktu produksi bagi PT. Sai Apparel Industries Ltd. Dalam penelitian ini pengembangan sistem menggunakan tahapan pengembangaan rekayasa perangkat lunak yang meliputi desain, implementasi dan pengujian. Hasil penelitian ini berupa interface aplikasi optimalisasi waktu produksi. "
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Manusia memiliki keterbatasan dalam mengerjakan hal-hal yang berat, rumit, cepat, berbahaya, beru... more Manusia memiliki keterbatasan dalam mengerjakan hal-hal yang berat, rumit, cepat, berbahaya, berulang-ulang secara langsung baik itu di kalangan rumah tangga, industri, militer, penelitian, hiburan, dsb. Robot merupakan mesin yang dapat mempermudah pekerjaan dan mengatasi keterbatasan manusia, sedangkan AI dapat membuat robot semakin cerdas. Berbagai macam metode AI telah diusulkan untuk mengatasi salah satu teknik navigasi robot, yaitu wall-following robot navigation, namun masih belum optimal. State of the art dalam klasifikasi wall-following robot navigation data adalah MLP dengan akurasi sebesar 97.59%. Namun akhir-akhir ini, state of the art dalam klasifikasi pattern recognition adalah SVM. Wall- following robot navigation data melibatkan multi-class, non-linear, dan high dimensional problem. 1V1 merupakan strategi terbaik yang dapat diterapkan pada SVM untuk mengatasi multi class problem yang selanjutnya dapat disebut multi-class SVM. Sedangkan untuk mengatasi non-linear dan h...
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Papers by heribertus himawan