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<![CDATA[PENGENALAN WAJAH PEGAWAI KANTOR DENGAN MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK BERBASIS ANDROID ]]>
<![CDATA[Harry Chandra]]>;
<![CDATA[Lina]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol. 10 No. 2 (2022): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v10i2.22530
<![CDATA[Face is one of the elements used to identify identity between humans. The purpose of making this thesis is as a basic basis for developing an attendance system and making artificial intelligence that can identify humans through their faces. How to do data processing, the data taken comes from a video of office employees which lasts approximately 10 seconds. To make a program that can recognize the faces of office employees, the Convolutional Neural Network (CNN) method is used which will be trained to be able to distinguish each unique feature on the face to distinguish and recognize humans specifically. In performing facial recognition, office employees can provide input in the form of facial photos of office employees who have been trained and use the camera on a smartphone to perform face recognition directly. The faces of office employees used as targets for this CNN training came from Pt Eternal Indonesia, Faculty of Information Technology, Tarumanagara University, and Kekar Clinic. The output of the application is the accuracy of each photo of the office employee's face given. The results of the confusion matrix test show that the trained model has an accuracy of 80.39%, a precision of 80%, a recall of 80%, and an f1-score of 80%.]]>
<![CDATA[Klasifikasi Kekuatan Struktur Beton Menggunakan Convolutional Neural Networks ]]>
<![CDATA[Johan Hartanto]]>;
<![CDATA[Lina]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol. 10 No. 2 (2022): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v10i2.22543
<![CDATA[Concrete is one of the most important elements in building a building construction. Concrete is widely used because it has advantages compared to other construction materials. In addition, the development of concrete construction has increased rapidly compared to other constructions, especially in the way of making concrete to the technology and use of materials used. In its development, materials will increase so that experiments in the laboratory make the costs swell. Therefore, a research is proposed which is intended to help researchers as well as to provide a comparison of the use of the model used. The method used to classify will use the CNN model by producing output that will display the class categories on the variables that have been inputted. The test results on training data resulted in an accuracy of 86.04% and testing on test or validation data was 82.14% on the Adam optimizer and 83.25% on training data and 80.35% on test or validation data on RMSprop. After determining the model to be used, it is continued with the use of K-fold validation.]]>
<![CDATA[PENGENALAN AKTIVITAS MANUSIA DI SUPERMARKET DENGAN METODE LONG SHORT TERM MEMORY ]]>
<![CDATA[Kristian Davidson Runtu]]>;
<![CDATA[Lina]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol. 10 No. 2 (2022): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v10i2.22552
<![CDATA[Since a long time ago, supermarkets have become people's destinations for shopping for various things such as food, cooking ingredients, cleaning products and others. Supermarkets are known for their very large and crowded places, making it difficult to monitor. Therefore, supermarkets need a system to help monitoring. With the development of technology, monitoring systems are increasingly advanced and one of the results of these technological developments is a system for recognizing human activities. By using OpenPose to obtain human skeleton data on the image and using the Long Short Term Memory method to perform recognition, testing of the training data was carried out so as to produce a precision value of 99%, recall 99%, and f1-score 99%. And real-time testing using a camera resulted in an accuracy value of 73% for the picking class, 87% for the standing class and 81% for the walking class.]]>
<![CDATA[PENGARUH KEPEMIMPINAN TERHADAP KINERJA DOSEN TETAP DI UNIVERSITAS KATOLIK MUSI CHARITAS ]]>
<![CDATA[Lina]]>;
<![CDATA[Agustinus Riyanto]]>;
<![CDATA[Theresia Widyastuti]]>
<![CDATA[ Jurnal Keuangan dan Bisnis Vol. 16 No. 2 (2018): Jurnal Keuangan dan Bisnis Volume 16 No. 2, Edisi Oktober 2018 ]]>
Publisher : <![CDATA[Catholic University Musi Charitas ]]>
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<![CDATA[Improving the quality of higher education relates to the performance of lecturers in the field of education, research and publications, and community service. Improving the performance of lecturers requires the competence and commitment of the university leaders. This study aims to determine the effect of leadership on the performance of lecturers. The study was conducted at the Musi Charitas Catholic University. The location of this research was conducted at two campuses of Musi Charitas Catholic University namely: Bangau Campus and Burlian Campus. The study was conducted for 8 months (September 2017 s.d April 2018). This study used a combination of exploratory research and explanatory research. Exploratory research aims to explore the phenomena of leadership factors that can improve the performance of tridarma for permanent lecturers at the Musi Charitas Catholic University Palembang. Explanatory research is to explain the relationship between research variables that are the influence of leadership variables on the performance of permanent lecturer of the Catholic University of Musi Palembang. Regression analysis was used to examine the influence of leadership on lecturer performance. The result of this research showed that the influence of leadership on lecturer performance was 52,5% while 47,5% of lecturer's performance variable was influenced by other variables outside of this research, including government policy variable, motivation, and lecturer personality.]]>
<![CDATA[PENGENALAN OBJEK MENGGUNAKAN METODE SINGLE SHOT MULTIBOX DETECTOR PADA BAHAN SEMBAKO ]]>
<![CDATA[Henry Tanujaya]]>;
<![CDATA[Lina]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 1 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v11i1.24067
<![CDATA[Bahan sembako adalah singkatan dari sembilan bahan pokok yang artinya diperlukan oleh masyarakat secara umum sebagai kebutuhan sehari – hari. Bahan sembako sangat beragam jenisnya seperti minyak, beras, susu, dan masih banyak lagi. Bahan sembako biasanya dapat ditemui di supermarket, toko eceran, maupun warung kecil. Supermarket, toko eceran, dan warung kecil menjadi penyedia banyak barang dan salah satunya bahan sembako untuk dibeli oleh masyarakat umum. Penyedia yang sangat memiliki banyak kebutuhan jenis bahan sembako biasanya terdapat di supermarket. Untuk supermarket dan toko eceran biasanya memiliki data stok barang masing – masing agar mengetahui jumlah barang mereka di rak penjualan. Pengecekan stok barang juga dilakukan untuk mengetahui tanggal kedaluwarsa, kualitas barang, dan lainnya. Metode Single Shot Multibox Detector sudah banyak digunakan untuk pengenalan objek atau pengenalan objek seperti aplikasi pengenalan benda, makhluk hidup, makanan, bahkan pengenalan wajah sekalipun. Kelebihan metode ini adalah kecepatan dan keamanan yang tidak kalah bagus dengan metode lain seperti YOLO dan Fast R-CNN. Jika dibandingkan, metode SSD dapat jauh lebih tinggi keakuratannya dan kecepatan proses pengenalan objek.]]>
<![CDATA[Identifikasi Jumlah Manusia Dalam Kerumunan Menggunakan Convolutional Neural Network ]]>
<![CDATA[Fernando]]>;
<![CDATA[Lina]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 1 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v11i1.24079
<![CDATA[Public space is a place that generally used by the community in order to meet their needs and where crowds are usually formed. In a crowd, the number of people can be the first indicator in an anomaly in where the more number of people exists in a crowd, the more supervision is needed on the crowd to prevent chaos or other things that are not desirable in public spaces. The need for a crowd-counting is certainly needed to facilitate supervision and also the awareness of people in crowds. This research meant to develop a system that can identifies a crowd based on the number of people that exist in the crowd and also give the number of people as an output. The system applied the Convolutional Neural Network (CNN) algorithm. The CNN model is trained using a labeled crowd dataset with a total of 4372 crowd photos. The CNN works as a regression model that will count the number of people from the feature extracted from the image. The evalution shows the Mean Absolute Error value achieved is 55.1176 in the test data.]]>
<![CDATA[PENGENALAN AKTIVITAS MANUSIA PADA SUPERMARKET MENGGUNAKAN OPENPOSE DAN CNN ]]>
<![CDATA[Lina]]>;
<![CDATA[Alvian Wijaya]]>
<![CDATA[ Jurnal Ilmu Komputer dan Sistem Informasi Vol. 12 No. 2 (2024): Jurnal Ilmu Komputer dan Sistem Informasi ]]>
Publisher : <![CDATA[Fakultas Teknologi Informasi Universitas Tarumanagara ]]>
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DOI: 10.24912/jiksi.v12i2.31558
<![CDATA[Human activity recognition is a dynamic area within artificial intelligence. It involves identifying human actions during everyday tasks such as standing, sitting, and walking. One application of this technology is in supermarkets, where it can analyze consumer behavior or function as a surveillance tool to prevent theft. This particular study utilizes OpenPose and Convolutional Neural Networks (CNN) with a custom-collected dataset. The program detects human skeleton shapes from camera footage and classifies these shapes using CNN with the ResNet50 model, subsequently displaying the identified activities. The classified activities include standing, walking, picking up items, looking at items, and pushing a trolley. The testing results indicate a training accuracy of 99.76% and a validation accuracy of 96.52%, along with an accuracy score of 96.52%, a precision of 96.59%, a recall of 96.525, and an F1-score of 96.53%.]]>
<![CDATA[THE INFLUENCE OF EMOTIONAL INTELLIGENCE AND TIME MANAGEMENT ON THE SUCCESS OF MEMORIZING THE QUR'AN ]]>
<![CDATA[Iqomatin, Durrotul]]>;
<![CDATA[Lina]]>
<![CDATA[ ANDRAGOGI Vol 5 No 2 (2023): ANDRAGOGI ]]>
Publisher : <![CDATA[Program Studi Pendidikan Agama Islam, Fakultas Agama Islam Universitas Islam Malang ]]>
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DOI: 10.33474/ja.v5i2.20915
<![CDATA[This research aimed to determine the existence of a positive and significant relationship between the level of emotional intelligence and time management and the success of memorizing the Qur'an and to find out how much influence it has on tahfiz students at Islamic Boarding School Bantul Yogyakarta An Nur (Al-Maghfiroh Complex). The research subjects were Islamic boarding school students at Madrasah Aliyah level, with a total of 78 students. Data collection used questionnaire methods and test methods. Instrument content validity analysis was carried out using the Aiken formula, while reliability estimation used Cronbach Alpha. Data analysis was carried out using multiple regression analysis. The results of this research showed that the variables emotional intelligence (X1) and time management (X2) had a strong, positive, and significant relationship with the success of memorizing the Qur'an. It was proven by correlation values (r) of 0.656 and 0.212. Together, the variables emotional intelligence (X1) and time management (X2) influence the success of memorizing the Qur’an (Y) by 54.5%. As for the remaining 45.5%, success in memorizing the Qur’an was influenced by other variables not explained in this research. Therefore, this research could contribute to students memorizing the Qur'an, thereby influencing their intelligence and the time management they carried out in the future learning process.]]>
<![CDATA[Branding UMKM dalam Pengembangan Wisata Budaya Patehan Yogyakarta ]]>
<![CDATA[Rahmawaty, Penny]]>;
<![CDATA[Lina]]>;
<![CDATA[Arum]]>;
<![CDATA[Alteza, Muniya]]>;
<![CDATA[Gallen GP, Mahendra Ryansa]]>
<![CDATA[ J-Dinamika : Jurnal Pengabdian Masyarakat Vol 9 No 2 (2024): Agustus ]]>
Publisher : <![CDATA[Politeknik Negeri Jember ]]>
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DOI: 10.25047/j-dinamika.v9i2.4649
<![CDATA[Yogyakarta as a tourist destination has a cultural heritage in the form of an imaginary Philosophical Axis consisting of the Golong-Gilig Monument, Kraton, and Krapyak Stage which are in a straight line. Patehan Village is one of the areas in the Keraton area. Patehan is the part of the palace which is responsible for preparing drinks, especially tea, along with all the equipment for Yogyakarta Palace activities, starting from traditional ceremonies to meeting daily routine needs. Patehan is supported by the existence of various businesses, namely culinary, transportation, trade, and the creative economy. However, no special place sells and serves palace-style brewed tea. A change in mindset is needed to become an entrepreneur with a far-sighted vision. Apart from that, they also do not realize the importance of product branding as a competitive advantage. The aim of Community Service is the importance of changing the entrepreneurial mindset and the importance of product branding. The form of activity is training and business assistance. The outcomes of community service activities are the importance of MSME actors changing their entrepreneurial mindset, having product brands, and promoting products through social media for them to increase the number of domestic and foreign tourist visits]]>
<![CDATA[PEMANFAATAN KRIM SANTAN SEBAGAI MINYAK ALTERNATIF GUNA MENURUNKAN ANGKA KEJADIAN ANEMIA PADA REMAJA ]]>
<![CDATA[Lina]]>
<![CDATA[ Jurnal Agroindustri Pangan Vol 1 No 1 (2022): Jurnal Agroindustri Pangan ]]>
Publisher : <![CDATA[PPPM POLTESA ]]>
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DOI: 10.47767/agroindustri.v1i1.439
<![CDATA[Cream of coconut milk is a thicker viscous substance produced from coconut milk which can be utilized as oil from coconut cream. Processing of coconut cream into oil is a processed oil product that has a clear color and has a distinctive coconut odor and has a long shelf life. The purpose of this study was to determine the organoleptic test (taste, color, texture, and aroma) of coconut cream oil according to SNI. This study used an experimental design study method, which consisted of 3 treatments used, namely the addition of Fe tablets with a ratio of F1 (1 Fe capsule : 1 Vitamin A capsule), F2 (1 ½ Fe capsule : 1 ½ vitamin A), F3 (2 Fe capsule: 2 vitamin A), then the Fe content was analyzed. The data obtained using ANOVA (Analysis Of Variance) was then identified by organoleptic tests and the content of iron (Fe) was tabulated in tabular form. The results of the organoleptic test on coconut cream oil were more dominant in the F3 treatment (2 Fe capsules: 2 vitamin A), and less favored in the F1 treatment. The results of testing the content of iron (Fe) in treatment 1 was 0.0107 and in treatment 2 was 0.0543 while in treatment 3 it was 0.0133. The results of the data showed that there was an increase in iron (Fe) content in treatment 2 of 0.0543. The use of heat in the process of cooking food greatly affects the nutritional value of food. The frying process is food processing using high temperatures above 160⁰C which can reduce the fat content and destroy vitamins and minerals, one of which is iron.]]>
