Jurnal Transformatika
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319 research outputs found
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Implementasi Twitter Bootstrap dalam Pengembangan Aplikasi Web E-Commerce (Studi Kasus Toko Putra Reban Kendal)
Full text linkThis study aims to apply twitter bootstrap in an e-commerce web so that the web display becomes more responsive, that is, it can provide a display according to the device used to access the web. The object of this research is the Putra Reban Store in Kendal which markets local art equipment and supplies, especially masks.The system development method used in this research is the Scrum method with stages including product backlog, sprint backlog, sprint and working increment. This method was chosen because it can save system development time and can transform a business that is difficult to measure into one that is easy to develop. The system is designed with 2 actors, namely admin and customer. Admin has access rights to manage product data, customer data, and order data, while customers have the right to access product data and make order transactions.With this developed system, it is easier for Putra Reban Stores to market their products because product descriptions and product availability stocks can be informed more easily and accurately. With complete and accurate product information, it will also be easier for customers to make transactions
YOLO Algorithm for Detecting People in Social Distancing System
Full text linkSocial distancing is an effort to prevent the spread of the coronavirus. Several systems for monitoring social distancing have been developed. People detection is an essential step in implementing a social distancing system. Failure to detect people causes the social distancing system to be inaccurate. Two people who communicate cannot occur violations of social distancing because one person is not detected. Therefore, we propose a precise person detection method for the social distancing system. The proposed social distancing system uses the YOLOv3 method for people detection and Euclidean Distance for measuring the distance of social distancing. YOLOv3 can detect people\u27s objects precisely, even people who are caught small by the camera. Experiments on two outdoor video datasets result in an F1 value of more than 0.8. This proposed system can serve as a reference for future social distancing research
Implementasi Data Mining Untuk Estimasi Produktivitas Kacang Hijau Dengan Menggunakan Algoritma Regresi Linier Di Kabupaten Grobogan
Full text linkThe Grobogan Regency Agriculture Service is an agency that operates in the agricultural sector. One of the crop commodities in Grobogan Regency is green beans. Judging from the results obtained each year, green bean production in Grobogan Regency is inconsistent. The rise and fall of green bean productivity is influenced by several factors. Factors such as area, production, number of farmers and productivity can be estimated to determine the production of green beans in Grobogan Regency. Therefore, using the Multiple Linear Regression algorithm is expected to help to obtain results on how much green bean production is in Grogoban Regency as a reference for farmers to increase their green bean harvest each year. Based on the calculation results, it was found that the estimated productivity of green beans in Grobogan Regency reached 760.8297302 Tons/Ha, whereas previously the land was 865 Hectares (Ha) Keywords: data mining, linear regression, estimation, productivity, green bean
Pattern Recognition of Human Face With Photos Using KNN Algorithm
Full text linkA Facial photos in today\u27s era are widely used as a media for identity recognition, but not many computer applications provide identity recognition of face photos that contain the names of the photo owners, to make an a prototype the sistems use a KNN algorithm, this algorithm work is by classifying the closest object and grouping it on predetermined objects. In this paper, the object is a face photo where the KNN algorithm will be used to classify the facial patterns contained in the photo. The stages in pattern recognition, starting from preprocessing, feature extraction and then classification. In addition to using the KNN algorithm for data classification, photo of faces will be detected and stored the T-Zone area and frontal face. In this paper 11 images used for data testing and the accuracy will be calculated using a recognition algorithm. The results of this paper are a facial recognition program using python that can display faces with a validity level of 82%
RANCANG BANGUN APLIKASI PENJADWALAN HOME SERVICE INDORENT MENGGUNAKAN ALGORITMA FIRST COME FIRST SERVED BERBASIS ANDORID
Full text linkAndroid smartphone is one of the items that really help humans in living life today.A person gets information through an internet connection using an Android smartphone whenever and wherever he is. Home Services is a vehicle repair service on site. Thus, customers still get service without leaving activity. The Home Service System is still manual so that it gives customers the opportunity to find out about ordering and scheduling vehicle services. Therefore, the researchers tried to build an Android-based Home Service application using the First Come First Served algorithm to facilitate scheduling. Analytical methods conducted by researchers by collecting data through Literature Studies and Interviews. Thus, resulting in an easier, practical, simple, and efficient Home Services application where customers can schedule vehicle services via an Android Smartphone
RANCANG BANGUN SISTEM PEMBERIAN PAKAN AYAM BROILER BERBASIS MIKROKONTROLLER
Full text linkBroiler Chicken Feed System is a tool that is implemented using microcontroller technology. The focus of technology in industry 4.0 is that all devices can be controlled and monitored remotely, as long as they are connected to a network. In accordance with this vision, this technology makes it easier for farmers to feed chickens that were originally still using manual labor, then made automatically by implementing microcontroller technology consisting of SIM800L, Arduino, servo motors, and ultrasonic sensors. By using two ultrasonic sensors that are placed to enter orders and provide information about the stock of chicken feed this technology can work well. The focus of this technology is that it can be used for remote monitoring. Not only that, this technology can also send notifications to the farmer\u27s smartphone to show the condition of the chicken feed stock that is still available. By applying this technology, chicken farmers can combine and feed their chickens from anywhere
Kompetensi Kinerja Dosen Terhadap Topik Bimbingan Tugas Akhir Mahasiswa Menggunakan Na ve Bayes
Full text linkKualitas produk bimbingan di sebabkan beberapa faktor yang juga merupakan elemen kinerja dosen juga diantaranya lulusan dosen, bidang keahlian, mata kuliah yang diajar, jumlah mahasiswa lulusan. Penentuan dosen bimbingan pada setiap topik tugas akhir yang dilakukan prodi manajemen selama ini masih berdasarkan satu variabel saja yaitu lulusan dosen, belum ada variabel pertimbangan lain seperti yang tersebut diatas. Perlu dilakukan klasifikasi kinerja dosen yang meliputi lulusan dosen, bidang keahlian, mata kuliah yang diajar, jumlah mahasiswa lulusan terhadap ploting topik bimbingan tugas akhir mahasiswa. Hasil klasifikasi mampu memberikan dukungan keputusan dalam menentukan dosen-dosen yang berkompeten pada setiap jenis topik tugas akhir.
Sistem Informasi Geografis Potensi Sumber Daya Kelautan Berbasis Android
Full text linkIndonesia is the biggest maritime country that has big marine resources too. It needed a good strategy so the marine resource usage can be managed well. Now, it can be helped by using information technology. The purpose of this research is to create a Geographic Information System for knowing potential marine resources in Daerah Istimewa Yogyakarta Coast. The result of this paper is a Geographic Information System that will runs in Android devices. The test results show 82,93% of users already satisfied with this application. It indicates that this application is in a Very Good category
Penentuan Luas Lahan dengan Metode Pendekatan Lingkaran Berbasis Google Earth dan GADM untuk Wilayah Kabupaten Semarang
Full text linkGeographically Semarang regency as one of the regencies in Central Java province has an area of 95,020.67 hectares. In this study, the sub-district areas in Semarang regency is calculated using Circle Approach method and Karney s Polygon method using Google Earth and GADM database in the form of latitude and longitude coordinates. The results of the study show that the land area of 19 districts in Semarang regency is 11.61% more than of the reference areas based on the coordinates of the latitude and longitude on Google Earth using the circle approach method. While the percentage for the area referring to GADM data using the Karney s Polygon method is 9.71% more than of the reference areas and the difference is 13.55% more than the reference areas using Circle Approach. The results of the three comparisons show that GADM data using the Karney s Polygon method can produce better results than other methods
Sistem Pendukung Keputusan Untuk Rekomendasi Topik Skripsi Dengan Metode Fuzzy AHP
Full text linkThe ability to produce a scientific work both journals, scientific articles and thesis is needed to support the competence of undergraduate students in a university. The existence of a thesis course in a number of universities is one of the efforts to train students in producing a scientific work. To arrive at the stage of making a thesis, a student must first study various kinds of courses in each study program. Choosing a thesis topic is one of the most difficult stages in the preparation of a thesis. This is because there are still many students who do not understand and know their interest and ability in one of the courses which will later be used as a topic in thesis preparation. The focus of this research is a decision support system that is able to answer student problems in determining thesis topics according to their abilities. The method used is a waterfall within the SDLC (system development life cycle) framework starting from system requirement, data collection, design, implementation, testing, and maintenance. The result of this research is the ability of the decision support system to provide recommendations for thesis topics according to the abilities of students. The greatest weight is for A5 students for Computer Networking interest of 1,410 while the smallest weight is for A4 students for Multimedia interest of 0.080