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All Journal snimed Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Techno.Com: Jurnal Teknologi Informasi Jurnal Teknologi dan Manajemen Informatika JAM : Jurnal Aplikasi Manajemen Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) Technomedia Journal ScientiCO : Computer Science and Informatics Journal IT (INFORMATIC TECHNIQUE) JOURNAL Advance Sustainable Science, Engineering and Technology (ASSET) DedikasiMU: Journal of Community Service PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) The Indonesian Journal of Computer Science Tadulako Science and Technology Journal
Hajra Rasmita Ngemba
Information System Department, Faculty Of Engineering, Tadulako University, Jl. Soekarno Hatta No KM 9 Palu 94148, Central Sulawesi, Indonesia
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Journal : journal of informatics and telecommunication engineering

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Employee Attendance System with Facial Recognition Technology Using a Single Shot Detector (SSD) Algorithm Djohari, Riyandi Dwitama; Ngemba, Hajra Rasmita; Hendra, Syaiful; Angraeni, Dwi Shinta; Lapatta, Nouval Trezandy; Nugraha, Deny Wiria
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 2 (2024): Vol. 7 No. 2 (2024): Issues January 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i2.10869

Abstract

The attendance system is an important thing that is used to assess employee performance. Currently, many companies or organizations have developed attendance systems, but there are still many organizations that have not optimized attendance with a reliable system. This happens at the Palu City Tourism Office, where attendance still uses manual recording in album books. Many problems occur with the manual attendance process, so it is necessary to create an attendance system. This research aims to help the Palu City Tourism Office for attendance management by using face recognition technology using the Single Shot Detector (SSD) algorithm. The system development model uses Waterfall. This research uses 20 different facial poses with four people each with 5 poses. This research uses javascript programming language, Next JS framework, tailwind CSS, PostgreSQL database, and face-api.js library. Tests carried out with blackbox results all features on the system function properly then based on the results of face detection testing, the test results obtained that the Single Shot Detector algorithm can detect facial images recorded on the camera quickly and accurately in medium and bright lighting with a distance of 40-80 cm.  The result of this research is a system that can recognize faces well by matching the training data image with the face image recorded on the camera in realtime
Comparison of Min-Max and EOQ Methods in Web-Based Stock Management Information System Dharmakirti, Dharmakirti; Ngemba, Hajra Rasmita; Hendra, Syaiful; Syahrullah, Syahrullah; Nugraha, Deny Wiria; Dwiwijaya, Kadek Agus
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 2 (2024): Vol. 7 No. 2 (2024): Issues January 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i2.10983

Abstract

Warehouse stock management is very important for the sustainability of a business, especially building stores that have a lot of goods. Many problems occur in the absence of stock information management in a business. This happens at Pelita Building Store which has a lot of goods so it is very difficult for the owner to decide which items to stock based on priority. This study aims to help business owners to carry out stock management by comparing two inventory methods, namely the Economic Order Quantity (EOQ) and Min-Max methods. The comparison is carried out with the aim of determining the most optimal method that can be used for stock management in the building shop business case. This research uses a system development method by adopting the prototype method. This research was tested by conducting blackbox and accuracy testing. The results of this study based on blackbox testing stated that the features in the application function properly and can be used for stock management. In addition to black box testing, accuracy testing is also carried out. Accuracy testing is done by comparing the data from the information system calculation with the data from the manual calculation. After comparison, an accuracy of 100% is obtained, thus it can be concluded that this application can be used to help shop owners determine priority stock and the most accurate method is to use the EOQ method
Co-Authors - Ifandi A Djufri, Isdar Abd. Rahman Sholeh Abdillah Sani, Ilham Abdul Mahatir Najar Aimar Anand Alamsyah Alamsyah - Alda Nur Pradinda Amalia, Liza Angraeni, Dwi Shinta Anita Ahmad Kasim Anjany, Ni Luh Verha Anugrah Aidin Yotolembah Anwar, Asriani Azizah Azizah Chandra, Ferri Rama Deny Wiria Nugraha Dharmakirti, Dharmakirti Djohari, Riyandi Dwitama Dodu , Albertch Yordanus Erwin Dwi Shinta Angreni Dwi Wijaya, Kadek Agus Dwiwijaya, Kadek Agus Elyana Aulia Chandra Fahlevi, Mohammad Fazrin Fathul Wahid Habibu, Rahmawati Hamid, Odai Amer Hardianti Hardianti, Hardianti I Gusti Ngurah Agung Kade Dwi Arsana Iman Setiawan Indrajaya, Muhammad Aristo Junaidi Junaidi Junus Widjaja Kade Dwi Arsana, I Gusti Ngurah Agung Laila, Rahma Lakatjinda, Adiatma Lamadjido, Moh. Raihan Dirga Putra Lintine, Gabriella Bamba Ratih Liza Amalia Mohamad Irfan, Mohamad Mohammad Fajri Mohammad Yazdi Pusadan Muh Alif Alghifari Muh. Aristo Indrajaya Muhamad Aristo Indrajaya Muhammad Jindan Muhammad Nauval Daffa Ulhaq Muhammad Nur Alamsyah Muhammad Yazdi Nouval Trezandy Lapatta Nur Muliyana Nurpati Nurpati Nursalim P. Dominggo, Nenita Penidas Fodinggo Tanaem Pradinda, Alda Nur Pratama, Moh. Asry Eka Putra Ramadhan, Adjie Putra, Adhitya Pramana Putri Febrina, Annisa Rahmah Laila Raivandy, I Made Randhy Rifai, Muhammad Fajar Rina Marlina Risaldi Pata’Dungan, Adi Rizana Fauzi, Rizana Rizka Ardiansyah Rosmala Nur Ryfial Azhar Setijadi, Eko Sitti Ainul Yakin Smith, Jennifer Suryadi Hadi Suryani Putri, Fadiah Syahrullah Syahrullah Syahrullah Syaiful Hendra Ulhaq, Muhammad Naufal Daffa Uswary, Jonathan Albert Vivi Peggie Rantung Winarta, Ardhiansyah Wirdayanti Yuri Yudhaswana Joefrie Yusuf Anshori Zaharuddin