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PENGARUH KEPEMIMPINAN TERHADAP KINERJA DOSEN TETAP DI UNIVERSITAS KATOLIK MUSI CHARITAS Lina; Agustinus Riyanto; Theresia Widyastuti
Jurnal Keuangan dan Bisnis Vol. 16 No. 2 (2018): Jurnal Keuangan dan Bisnis Volume 16 No. 2, Edisi Oktober 2018
Publisher : Universitas Katolik Musi Charitas

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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.

PENGENALAN WAJAH PEGAWAI KANTOR DENGAN MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK BERBASIS ANDROID Harry Chandra; Lina
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 10 No. 2 (2022): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v10i2.22530

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%.

Klasifikasi Kekuatan Struktur Beton Menggunakan Convolutional Neural Networks Johan Hartanto; Lina
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 10 No. 2 (2022): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v10i2.22543

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.

PENGENALAN AKTIVITAS MANUSIA DI SUPERMARKET DENGAN METODE LONG SHORT TERM MEMORY Kristian Davidson Runtu; Lina
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 10 No. 2 (2022): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v10i2.22552

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.

English Learning Interactive Media for Early Childhood Through the Total Physical Response Method Suryana, Dadan; Sari, Novi Engla; Winarti; Lina; Mayar, Farida; Satria, Sri
Jurnal Pendidikan Usia Dini Vol 15 No 1 (2021): Jurnal Pendidikan Usia Dini Volume 15 Number 1 April 2021
Publisher : Program Studi Magister Pendidikan Anak Usia Dini

Although there are several approaches and strategies for teaching foreign languages, the Total Physical Response (TPR) approach is the most suitable for young learners. TPR is a way of teaching language that is based on the synchronization of speech and behaviour, or in other words, teaching language through movement. This study aims to develop English learning media for children through the Total Physical Response (TPR) method. This study uses a Research and Development (R & D) approach. The development model used is the ADDIE development model (analysis, design, development, implementation, and evaluation). Data collection techniques in this study were based on the results of expert validation tests, media practicality tests, and media effectiveness tests on children aged 5-6 years in Kindergarten. The results showed that the validity test of developing interactive media for children's English learning through the TPR method by media expert was declared valid with the result of 93%. The validity test on the material aspect shows the result is 98%. In the language aspect, the language expert gave the results of the feasibility of the language used in the media with a value of 96%. Likewise, with the practicality test, the results showed that the media had an average value of practicality with a percentage of 94%. The most important result in media development is determined by the results of the effectiveness test, and this media gets an average percentage score of 77.8% on the media tested on children. Therefore, interactive media for children's English learning through the Total Physical Response method deserves to be used as interactive and quality learning media that is practical and effective for early childhood. Intervention in introducing how to develop interactive media for learning English to teachers can be carried out in further research. Keywords: Early Childhood, English Learning Media, Total Physical Response (TPR) method References: Amri, S. (2013). Pengembangan & Model Pembelajaran Dalam Kurikulum. Prestasi Pustakarya. Andi. (2013). Kupas Tuntas Adobe Flash CS6. Gramedia. Ariani, N. & H. (2010). Pembelajaran Multimedia di Sekolah Pedoman Pembelajaran Inspiratif, Konstruktif, dan Prospektif. Prestasi Pustakarya. Arsyad, A. (2011). Media Pembelajaran. Raja Grafindo Persada. Asher, J. J. (1969). The Total Physical Response Approach to Second Language Learning. The Modern Language Journal, 53(1), 3. https://doi.org/10.2307/322091 Astutik, Y., & Aulina Choirun, N. (2017). Total Physical Response (Tpr) Pada Pengajaran Bahasa Inggris Siswa Taman Kanak-Kanak. Jurnal Pendidikan Bahasa Dan Sastra, 17(2), 196–2017. Chaer, A. (2009). Psikolinguistik Kajian Teoretik. Rineka Cipta. Cheng, G. (2009). Using Game Making Pedagogy to Facilitate Student Learning of Interactive Multimedia. Australasian Journal Educational Technology, Vol. 25 (2, 204–220. Danim. (2008). Media Komunikasi Pendidikan. Bumi Aksara. Dardjowidjojo, S. (2010). Psikolinguistik: Pengantar Pemahaman Manusia Edisi Kedua. Yayasan Obor Indonesia Unika Atma Jaya. Darmawan, D. (2012). Inovasi Pendidikan. Remaja Rosdakarya. Daryanto. (2011). Media Pembelajaran. PT. Sarana Tutorial Nurani Sejahtera. Depdiknas. (2009). Peraturan Menteri Pendidikan Nasional Republik Indonesia Nomor 58 Tahun 2009 tentang Standar Pendidikan Anak Usia dini. Er, S. (2013). Using Total Physical Response Method in Early Childhood Foreign Language Teaching Environments. Procedia - Social and Behavioral Sciences, 93, 1766–1768. https://doi.org/10.1016/j.sbspro.2013.10.113 Fauzi, C., & Basikin. (2020). The Impact of the Whole Language Approach Towards Children Early Reading and Writing in English. JPUD - Jurnal Pendidikan Usia Dini, 14(1), 87–101. https://doi.org/10.21009/jpud.141.07 Hanafiah, Nanang & Cucu, S. (2010). Konsep Strategi Pembelajaran. Refika Aditama. Jackman Hilda, L. (2010). Childhood Education Curriculum: A Child’s Connection to The world. Nelson Education Ltd. Jared, K., & Grace, O. (2009). Technology Interaction Profeesional Development Model for Practicing Teachers. Journal Technology and Early Childhood Education, 37, 209–218. Komalasari, K. (2010). Pembelajaran Kontekstual: Konsep dan Aplikasi. Refika Aditama. Larsen-Freeman, D., & Anderson, M. (2011). Techniques and principles in language teaching (3rd ed). Oxford University Press. Lase, F. (2017). Hakikat Pendidikan Berdasarkan Kebutuhan Usia. . . Jurnal PPKn & Hukum, 12(1). Mayesky. (2012). Creative Activities for Young Children. Nelson Education. Mohamad Syarif Sumantri. (2015). Strategi Pembelajaran: Teori dan Praktik di Tingkat Pendidikan Dasar. PT Raja Grafindo Persada. Ghani, N. H. H. M. G. (2014). The Effectiveness of Total Physical Response (TPR ) Approach in Helping Slow Young Learners With Low. International Journal of Research in Social Sciences, 4(6). Mulia Dewi. (2016). Thesis the Role of Play in Teaching English as A Foreign Language in Early Childhood Settings in Indonesia. Australia: Deakin University. Munir. (2009). Multimedia Konsep dan Aplikasi dalam Pendidikan. Alfabeta. Munir. (2012). Multimedia Konsep dan Aplikasi dalam Pendidikan. Alfabeta. Nuraeni, C. (2019). Using Total Physical Response (TPR) Method on Young Learners English Language Teaching. Metathesis: Journal of English Language, Literature, and Teaching, 3(1), 26. https://doi.org/10.31002/metathesis.v3i1.1223 Paturan Menteri Pendidikan Repuberlik Indonesia Nomor 137. (2014). Tentang Standar PAUD. Peraturan Menteri Pendidikan dan Kebudayaan RI No. 146 Tahun 2014 Tentang Implementasi Kurikulum 2013 PAUD. (2014). Pinter, A. (2006). Teaching young language learners. Oxford University Press. Pranowo, G. (2011). Kreasi Animasi Interaktif dengan Action Script 3.0 pada Flash CS6. Graha Ilmu. Priscilla, C. (2009). Supporting Children Learning English as Second Language in the Early Years (Birth to Six Years). Australia: Victorian Curriculum and Assessment Authority. Purwanti, R. (2020). Pembelajaran Bahasa Inggris Untuk Anak Usia Dini Melalui Metode Gerak dan Lagu. Potensia, Jurnal Ilmiah, 5(2), 91–105. Putro, W. E. (2013). Teknik Penyusunan Instrumen Penelitian. Pustaka Pelajar. Rahmat, A. (2010). Implementasi Kurikulum Bahasa Asing di Taman-Kanak (TK) DKI Jakarta. Jurnal Kajian Linguistik Dan Sastra, 22(77–10), 1. Richards, J. C., & Rodgers, T. S. (2001). Approaches and methods in language teaching. Cambridge University Press. Riduwan. (2012). Skala Pengukuran Variabel-Variabel Penelitian. Alfabeta. Sanjaya, W. (2009). Strategi Pembelajaran. Kencana. Santrock, Jhon. W. (2011). - Span Development: Perkembangan Masa Hidup. Erlangga. Sari, N. E., & Suryana, D. (2019). Thematic Pop-Up Book as a Learning Media for Early Childhood Language Development. JPUD - Jurnal Pendidikan Usia Dini, 13(1), 43–57. https://doi.org/10.21009/10.21009/jpud.131.04 Savic, V. (2014). Total Physical Response Activities in Teaching English to Young Learners. Journal of Physical Culture and Modern Society, 17, 447–454. Setiawan Deni dkk. (2017). Pengaruh Media Pembelajaran Dan Motivasi Belajar Terhadap Hasil Belajar Desain Sistem Instruksional Pendekatan Tpack. Jurnal Teknologi Dan Informasi Dalam Pendidikan, Vol 4 No 2, 141–146. Stakanova E., & Tolstikhina, E. (2014). Different Approaches to Teaching English As A Foreign Language to Young Learner. . . Journal of Procedia Social and Behaviour Science, Vol. 146, 456–460. Suryana, D. (2016). Stimulasi dan Aspek Perkembangan Anak. Kencana. Suyadi. (2013). Konsep Dasar PAUD. Rosdakarya. Suyanto. (2008). Evolutionary Computation. Informatika. Tarigan, H. G. (2009). Pengajaran kedwibahasaan. Angkasa. Wijayatiningsih, & Mulyadi. (2014). Pemanfaatan model total physical response dan repetition untuk pengembangan pembelajaran bahasa Inggris anak usia dini / TK. Jurnal Penelitian Pendidikan, 31(1), 63–66. Wiyani, N. A. (2014). Perkembangan Anak Usia Dini: Panduan Orang Tua dan Pendidik PAUD Dalam Memahami serta mendidik Anak Usia Dini. Gava Media.

Star of The Week Programs Based on Peer Relationship for Children Social Emotional Development Suryana, Dadan; Khairma , Fitriana Sari; Sari, Novi Engla; Lina; Mayar, Farida; Satria, Sri
Jurnal Pendidikan Usia Dini Vol 14 No 2 (2020): Jurnal Pendidikan Usia Dini Volume 14 Number 2 November 2020
Publisher : Program Studi Magister Pendidikan Anak Usia Dini

The influence of family, school and peers on students' emotional social development is very important as a starting point for the design of school activities that will also improve student development in an integral way. The Star of the Week program was developed with the aim of helping students apply the knowledge, attitudes, and skills needed to socialize and understand and manage emotions. This study uses the Thiagarajan model stages, namely define, design, develop, and disseminate (4D). The results of the validity test from the experts show that this program has workable value with 91.1% material aspects, 90% emotional development aspects and 92% presentation aspects. For the practicality test results through teacher questionnaires obtained scores of 90%, and 88.67% through teacher observations of children who are in the high practical category. The results of the program effectiveness test showed a value of 89.08% on children's social-emotional development, because it showed an increase in values before and after the intervention. The implication of further research is that it is hoped that various kinds of learning methods will develop aspects of child development based on cooperation and peer relationships. Keywords: Early Childhood, Peer Relationships, Star of the Week Program, Social Emotional References Acar, I. H., Hong, S. Y., & Wu, C. R. (2017). Examining the role of teacher presence and scaffolding in preschoolers’ peer interactions. European Early Childhood Education Research Journal, 25(6), 866–884. https://doi.org/10.1080/1350293X.2017.1380884 Acar, I. H., Rudasill, K. M., Molfese, V., Torquati, J., & Prokasky, A. (2015). Temperament and preschool children’s peer interactions. Early Education and Development, 26(4), 479–495. https://doi.org/10.1080/10409289.2015.1000718 Akhir, K., & Wisz, M. S. (2018). 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Social Competence, Social Support, and Academic Achievement in Minority, Low-Income, Urban Elementary School Children. School Psychology Quarterly, 23(4), 474–495. https://doi.org/10.1037/1045-3830.23.4.474 Fajriyah, L. (2018). Pengembangan Literasi Emergen Pada Anak Usia Dini. Proceedings of the ICECRS, 165–172. https://doi.org/https://doi.org/10.21070/picecrs.v1i3.1394 Forrest, C. L., Gibson, J. L., Halligan, S. L., & St Clair, M. C. (2018). A longitudinal analysis of early language difficulty and peer problems on later emotional difficulties in adolescence: Evidence from the Millennium Cohort Study. Autism & Developmental Language Impairments, 3, 239694151879539. https://doi.org/10.1177/2396941518795392 Hartup, W. W. (1992). Peer Relations in Early and Middle Childhood. https://doi.org/https://doi.org/10.1007/978-1-4899-0694-6_11 Hernández, Y. C. U., Núñez, E. F. D., Inga-Arias, M., & Lozada, O. R. (2020). Early stimulation and emotional intelligence and its incidence in communication learning at the initial level. International Journal of Early Childhood Special Education,12(1), 433–441. https://doi.org/10.9756/INT-JECSE/V12I1.201023 Khoiruddin, M. A. (2018). Perkembangan Anak Ditinjau dari Kemampuan Sosial Emosional. Jurnal Pemikiran Keislaman, 29(2), 425–438. https://doi.org/https://doi.org/10.33367/tribakti.v29i2.624 Kim, J., & Cicchetti, D. (2010). Longitudinal pathways linking child maltreatment, emotion regulation. J Child Psychol Psychiatry, 51(6), 706–716. https://doi.org/10.1111/j.1469-7610.2009.02202.x.Longitudinal Kompri. (2016). Motivasi Pembelajaran Perspektif Guru dan Siswa. PT Remaja Rosdakarya. Krauthamer Ewing, E. S., Herres, J., Dilks, K. E., Rahim, F., & Trentacosta, C. J. (2019). Understanding of Emotions and Empathy: Predictors of Positive Parenting with Preschoolers in Economically Stressed Families. Journal of Child and Family Studies, 28(5), 1346–1358. https://doi.org/10.1007/s10826-018-01303-6 Lane, J. D., & Shepley, C. (2019). Research to Practice: Promoting Academic and Social Behaviors in a Small Group. Journal of Early Intervention, 41(4), 279–282. https://doi.org/10.1177/1053815116643833 Lojk, M., & Adolfsson, M. (2017). Promoting peer interactions of preschool children with behavior problems A Systematic Literature Review. Magdalena, S. M. (2013). Social and emotional competence - predictors of school adjustment. Procedia - Social and Behavioral Sciences, 76, 29–33. https://doi.org/10.1016/j.sbspro.2013.04.068 Maslow, A. (1984). Motivasi dan Kepribadian: Teori Motivasi dengan Ancangar Hirarki Kebutuhan Manusia. Gramedia Pustaka Utama. Mayar, F. (2013). Perkembangan Sosial Anak Usia Dini Sebagai Bibit Untuk Masa Depan Bangsa. AL-Ta Lim, 20(3), 459–464. https://doi.org/https://doi.org/10.15548/jt.v20i3.43 McCormac, M. E., & Snyder, S. (2019). 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Perkembangan Masa Hidup. Erlangga. Shearer, R. J. B., Domínguez, X., Ell, E. R., Rouse, H. L., & Fantuzzo, J. W. (2010). Relation Between Behavioral Disorders Problems in Classroom Social and Learning Situations and Peer Social Competence in Head Start and kindergarten. Journal of Emotional and Behavioral Disorders, 18(4), 195–210. https://doi.org/https://doi.org/10.1177/1063426609351172 Uslu, F., & Gizir, S. (2017). School belonging of adolescents: The role of teacher–student relationships, peer relationships and family involvement. Kuram ve Uygulamada Egitim Bilimleri, 17(1), 63–82. https://doi.org/10.12738/estp.2017.1.0104 Wang, C., Hatzigianni, M., Shahaeian, A., Murray, E., & Harrison, L. J. (2016). The combined effects of teacher-child and peer relationships on children’s social-emotional adjustment. Journal of School Psychology, 59, 1–11. https://doi.org/10.1016/j.jsp.2016.09.003 Wang, Y., Palonen, T., Hurme, T. R., & Kinos, J. (2019). Do you want to play with me today? 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PENGARUH KEPEMIMPINAN TERHADAP KINERJA DOSEN TETAP DI UNIVERSITAS KATOLIK MUSI CHARITAS Lina; Agustinus Riyanto; Theresia Widyastuti
Jurnal Keuangan dan Bisnis Vol. 16 No. 2 (2018): Jurnal Keuangan dan Bisnis Volume 16 No. 2, Edisi Oktober 2018
Publisher : Universitas Katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.07 KB)

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.

PENGENALAN OBJEK MENGGUNAKAN METODE SINGLE SHOT MULTIBOX DETECTOR PADA BAHAN SEMBAKO Henry Tanujaya; Lina
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 1 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i1.24067

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.

Identifikasi Jumlah Manusia Dalam Kerumunan Menggunakan Convolutional Neural Network Fernando; Lina
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 11 No. 1 (2023): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v11i1.24079

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.

PENGENALAN AKTIVITAS MANUSIA PADA SUPERMARKET MENGGUNAKAN OPENPOSE DAN CNN Lina; Alvian Wijaya
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 12 No. 2 (2024): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jiksi.v12i2.31558

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%.

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