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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Nasional Teknik Elektro dan Teknologi Informasi Proceeding International Applied Business and Engineering Conference Jurnal Pengabdian Kompetitif JIPITI: Jurnal Pengabdian kepada Masyarakat
Ivan Chatisa
Politeknik Caltex Riau
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Implementasi Metode Klasifikasi ABC pada Warehouse Management System PT. Cakrawala Tunggal Sejahtera Ivan Chatisa; Istianah Muslim; Rika Perdana Sari
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 2: Mei 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1683.613 KB)

Abstract

Warehouse is a place used to store and put items owned by company. There are many activities carried out in the warehouse, starting from data collection process to management of the items. However, there are still companies that have difficulty in collecting data and management of available items. As the process of collecting goods is still done manually, it takes a long time to find information from the item. Therefore, a Warehouse Management System (WMS) was built by implementing the ABC classification method to help the company in managing items at the warehouse. ABC classification method is a method used to group items into certain classes based on the annual demand of the item. This method is used to regulate the placement of items in the warehouse. After the ABC method is implemented on the system, the company is able to to arrange the items and to obtain the information of the most needed items by consumers easier. The result of User Acceptance Test (UAT), which was conducted 3 times, states that all of user needs have been fulfilled and accepted entirely. Then, based on the results of the questionnaire recapitulation distributed to employees as many as 30 respondents, it is obtained that as many as 91.33% of respondents state that the system is easy to use and provides complete and accurate information (strongly agree).
Object Detection And Monitor System For Building Security Based On Internet Of Things (IoT) Using Illumination Invariant Face Recognition Ivan Chatisa; Yoanda Alim Syahbana; Agus Urip Ari Wibowo
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

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Abstract

Theft, burglary and intrusion are criminal acts that often occur in the environment when there are opportunity or negligence made by the owner and security officers. Many studies have been carried out to improve environmental security by applying cameras as a surveillance medium. However, the camera is still not optimal at detecting objects if the environment is in poor lighting conditions (dark). Therefore, in this study, a monitoring and object detection system was built by applying the Illumination Invariant model. Illumination Invariant model that is used to improve the appearance of object images from light and shadow reflections. In this study, the detection process and objects are carried out using human facial features captured by the camera. The camera used is a Logitec C270 Webcam HD 720p via the USB port on the Raspberry Pi. Raspberry Pi processes human face image data and sends the results of data processing to a MySQL database using the HTTP Protocol. The process of sending data is done with the concept of API (Application Programming Interface) using Python Flask. In this study, all tests were carried out on the system using black box testing techniques with the results of the functional requirements being successfully executed 100%. In this study, testing the object detection feature based on different lighting conditions. The test was carried out 15 times by comparing the original image and the results of the implementation of the Illumination Invariant model. Based on the test results by applying the illumination of the Invariant model, the quality of object detection accuracy is 86.7%.
Workshop Live Streaming Menggunakan OBS Untuk MGMP TIK Pekanbaru Ibnu Surya; Ivan Chatisa; Yoanda Alim Syahbana; Muhammad Ihsan Zul; Yuli Fitrisia; Jan Alif Kreshna; Harumin Harumin; Irgi Yoga Pangestu
Jurnal Pengabdian Kompetitif Vol. 5 No. 1 (2026): Jurnal Pengabdian Kompetitif (JPK)
Publisher : Komunitas Manajemen Kompetitif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35446/pengabdiankompetif.v5i1.2802

Abstract

OBS is open-source software that needs to be introduced to the community, particularly to organizations and companies with a high demand for live streaming communication. This needs to be introduced and optimized because the infrastructure is generally already available and running well and is almost evenly distributed among certain organizations, both companies and high schools. OBS can be applied for streaming communication purposes on Internet-based networks. This activity is a PkM, which is a collaboration between Polytechnic Caltex Riau and the Information and Communication Technology Subject Teacher Working Group (MGMP TIK) in Pekanbaru and Kampar, Riau. Live Streaming Workshop/training using OBS to introduce and deepen the material for ICT teachers to teach multimedia network material, streaming technology. For this purpose, training and evaluation were conducted before and after the workshop on teachers' knowledge of live streaming. Prior to the workshop, approximately 79% understood the material, After being introduced to the participants and trying out the practice, results showed that approximately 100% found it easy to understand and could be applied to support multimedia network practical work.
Analysis of Illumination Invariant Method for Face Detection in Different Lighting Variations Ivan Chatisa; Siti Syahidatul Helma; Ibnu Surya
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12731

Abstract

Lighting quality is a crucial factor that affects the performance of camera-based face detection systems, especially in CCTV surveillance systems that operate in low or uneven lighting conditions. This study aims to analyze the performance of illumination-invariant preprocessing methods in improving the accuracy of human face detection under various lighting conditions. Three preprocessing approaches were compared, namely Histogram Equalization (HE), Gamma Correction (GC), and a hybrid method that combines both (GC+HE). The dataset used consists of 1415 human face images taken using a webcam with variations in five lighting conditions, four face directions, and three shooting distances. All images were processed using the Haar Cascade Classifier algorithm as the face detection method. Performance evaluation was conducted using accuracy, precision, recall, and confusion matrix analysis metrics. The test results showed that the hybrid method provided the best performance with a precision of 92.79%, accuracy of 87.49%, and recall of 89.61%, compared to the HE and GC methods used individually. This improvement indicates that the combination of lighting normalization and contrast enhancement can produce more stable and informative facial images for the detection process. The findings of this study indicate that the hybrid-based illumination invariant approach is very effective for application in real-time visual surveillance systems, especially in environments with limited lighting.
Optimalisasi Penggunaan Sosial Media Sebagai Media Pemasaran Digital Bagi Siswa SMAN 1 Tualang Syintia Mega Putri Syintia; Figo Alimbel; Ivan Chatisa
JIPITI: Jurnal Pengabdian kepada Masyarakat Vol. 3 No. 3 (2026): Agustus 2026 - JIPITI: Jurnal Pengabdian kepada Masyarakat
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

This community service activity aims to optimize the use of social media as a digital marketing medium for students of SMAN 1 Tualang. The implementation method used a workshop approach consisting of three stages: preparation, implementation, and evaluation. The activity was conducted on August 28, 2025, at the Computer Laboratory of SMAN 1 Tualang, involving 40 students and 6 accompanying teachers. The workshop materials included content marketing strategies, utilization of various social media platforms, audience engagement techniques, and live streaming practice using OBS Studio. The results showed a significant increase in students' understanding of digital marketing concepts, from an average pre-test score of 45% to 78% in the post-test. Student enthusiasm was evident from active participation during material presentations and numerous questions during discussion sessions. Survey results indicated that TikTok and Instagram were the preferred platforms for youth marketing with 68.4% preference each. This activity successfully enhanced students' knowledge and skills in utilizing social media platforms productively and strategically for digital marketing purposes.
Co-Authors Agus Urip Ari Wibowo Figo Alimbel Harumin Harumin Irgi Yoga Pangestu Istianah Muslim Jan Alif Kreshna Muhammad Ihsan Zul Rika Perdana Sari, Rika Perdana Siti Syahidatul Helma Surya, Ibnu Syintia Mega Putri Syintia Yoanda Alim Syahbana Yuli Fitrisia