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Pemanfaatan Aplikasi Powton untuk Pelatihan Presentasi dan Video pada PT. Jaya Persada Indonesia (JPI) Sanwani; Eko Setia Budi; Eva Zuraidah; Ade Priyatna; Siti Indriane Maebari; Yoki Feriano; Alfin Nugraha; Yeni Nuraeni; Mohammad Aswad Arifin
Jurnal Mitra Pengabdian Farmasi Vol. 2 No. 1 (2022): Oktober 2022
Publisher : Akademi Farmasi YPPM Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

PT. Jaya Persada Indonesia or JPI is a company founded with the spirit of togetherness. Seeing its opportunities for the development of property and human resources, the company is currently focusing on the business area carried out by PT. Jaya Persada Indonesia in the field of Property Developer, Property Agency (JPI Propertindo). Limited understanding of the Powton Application used for presentations and making videos is the reason Nusa Mandiri University carried out Community Service in the form of Utilizing the Powton Application for presentation training and making videos at PT. Jaya Persada Indonesia (PT. JPI) in East Jakarta. With this training, it can help staff and management in making interesting presentations and videos within PT. Jaya Persada Indonesia (PT. JPI).
Pengembangan Aplikasi Absensi Mobile Terintegrasi dengan Sistem Backoffice Berbasis Web Menggunakan Metode Pengembangan Perangkat Lunak Waterfall Nasya Putri Restyarna; Andi Taufik; Eko Setia Budi
Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 1 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v5i1.2504

Abstract

Attendance systems play a crucial role in human resource management by serving as the foundation for accurate and efficient employee presence tracking. PT Urun Bangun Negeri previously used a manual attendance method that was prone to data errors, manipulation, and inefficiencies in reporting. This study aims to develop a digital attendance application based on Android that integrates with a web-based backoffice system. The software development method used is the Waterfall model, consisting of requirement analysis, system design, implementation, and testing phases. Kotlin was used to develop the mobile application, while Laravel was used for the web system. Key features include GPS-based location validation and selfie verification for attendance authenticity. System testing using Blackbox and User Acceptance Test (UAT) methods showed that the application performed well, with a success rate of more than 95% and a very high level of user satisfaction. These results demonstrate that the developed system effectively enhances efficiency, accuracy, and transparency in the company’s attendance process.
Analysis of Student Academic Performance Using Random Forest and Support Vector Machines Agung, Galih Mifta; Zuama, Robi Aziz; Budi, Eko Setia
Computer Science (CO-SCIENCE) Vol. 6 No. 1 (2026): January 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/co-science.v6i1.10123

Abstract

Assessing student academic performance objectively remains a challenge at SMP Negeri 16 Bogor due to diverse internal and external factors in student records. This study aims to compare the classification performance of the Random Forest and Support Vector Machine (SVM) algorithms using a dataset of 403 students containing demographic, socioeconomic, and school-related attributes. Although the attributes are not traditional academic indicators (e.g., assignment or exam scores), they are used to explore whether non-academic features can contribute to predictive models. Following data preprocessing—handling missing values, encoding categorical variables, and managing class imbalance—both algorithms were evaluated using accuracy, precision, recall, and confusion matrix analysis. Results show that SVM outperforms Random Forest with 78.00% accuracy, 89.98% precision, and 70.24% recall. These findings indicate that SVM is more robust for imbalanced classification tasks and can provide useful insights even when academic-performance labels are predicted from non-academic attributes.
Pelatihan Dan Pemanfaatan Teknologi Cloud Untuk Penyimpanan DiKoperasi Serba Usaha Komunitas Warga Bojong Gede (KSU KOWAGE) Ade Priyatna; Eko Setia Budi; Eva zuraidah; Sanwani; Siti Indriane Maebari; Jodi Setiawan; Agung Primahadi Asta; Damar Nugraha; Rizky Maulana Ambya
JPM: Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2023): July 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v4i1.1023

Abstract

The Bojong Gede Residents Community Multi-Business Cooperative (KSU KOWAGE) is a cooperative institution founded with the spirit of togetherness and a sense of desire to form a business but is constrained by limitations such as small business capital, and weak human resources. It is difficult to access information & technology as well as sources of capital. Currently, KOWAGE KSU has several products that have been marketed both offline and online, there are several obstacles related to their activities, one of which is related to storing images of several products to then make catalogs and cooperative activities which later can be distributed and used anytime and anywhere, one of the technologies that can be used for storage is using cloud technology from Google, namely Google Drive, by utilizing and using this technology KSU KOWAGE can store its products and cooperative activities anytime and anywhere, providing directly create google drive and also a cloud-based data storage method which is quite popular including Google Drive, and knowing this cloud technology starts from the utilization, use, and function of the application features, directly from each participant's cellphone, the one day workshop method
Optimalisasi Aplikasi E-Learning Berbasis Moodle Untuk Pengembangan Dan Peningkatan Media Pembelajaran Secara Digital Budi, Eko Setia; Priyatna, Ade; Zuraidah, Eva; Fadillah, Nur; Firmansyah, Ilhan; Rana, Dipo Yudhis; Fitriyani, Fitriyani; Roris, Renaldi Putra
JPM: Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v6i3.2751

Abstract

Community Service is a routine activity carried out by lecturers of Higher Education in order to carry out the obligations of the Tridharma of Higher Education. Lecturers have an obligation to carry out the obligation to share knowledge and skills they have with the wider community who need help. One of the partners who needs support is Al Qomar School which currently has problems in the information system in the digital learning process. This often causes errors in the digital learning process. In addition, the partner also does not have a website application that can be used to display the school's digital learning that makes it easier for teachers to access digital learning quickly and efficiently. Based on this, this community service aims to provide Moodle-Based E-Learning Application Training for the Development and Improvement of Digital Learning Media at Al Qomar School that can be used by partners to improve learning performance better. The activity was carried out face-to-face at the Al Qomar School Hall, Jalan Kamal Raya No. 1 Kalideres, West Jakarta. The target output to be achieved in this activity is the publication of this training activity in national-scale electronic or print media. Improving the ability of the e-learning system aims to provide effective solutions in increasing learning flexibility, accommodating diverse learning styles, and facilitating learning accessibility. E-learning development using the Moodle platform, 100% of teachers are able to design learning with creative and innovative content
Co-Authors Abdul Rahman Kadafi Abdul Rahman Kadafi Abdul Rahman Kadafi Abdul Rahman Kadafi Abdul Rahman Kadafi Abdul Rahman Kadafi Abdul Rahman Kadafi Achmad Faisal Ade Priyatna Ade Sutrisna Afika Kurnia Dewi Agit Rian Rohmadan Agung Primahadi Asta Agung, Galih Mifta Agustin Ria Pratiwi Agustina, Menik Anna Ahmad Anshori Ardani Ahmad Fio Nugraha Alby Sukmana Alfin Nugraha Andi Taufik Anggata, Aprio Riska Anggraeni, Yulianti Aprilia Dimas Aprilia Dimas Sahid Arifa Nofriyaldi Chan Besus Maula Sulthon Besus Maulana Budi Setiyanto Chaerul Bachri Cipta M Pasaribu Damar Nugraha Darmawan Desy Sasqia Putri Dewi Rosmayanti Dewi, Triyana Dina Faisha Dito Tri Ardana Dwi Satria Nugraha Eva Zuraedah Eva Zuraidah Eva zuraidh Fadila S Ismail Fajar, Indra Muchamad Firmansyah, Ilhan Fitriyani Fitriyani Fitriyani Pramitasari Ghifary Rafy Pratama Guidio Leonarde Ginting Hariska, Elvia Hary Juni Kurniawan Herliansyah Herliansyah Ipin Sugiyarto Ipin Sugiyarto Iqbal Ubaidillah Istiana Wahidah Jajang Abdul Jabar Jodi Setiawan Kadafi, Abdul Rahman Kenji Ferdian Santosa Krishandi, Septa Remond Kusmanto Kusmanto Mega Mustika Melati Meyti Lestari Mochammad Randika Mohammad Aswad Arifin Muh. Arif Fauzi Idris Muhamad Ifan Nuriyana Muhamad Irfan Muhammad Rizki Muhammad Sudiyanto Nasya Putri Restyarna Nur Fadillah, Nur Nursalim, Fredrika Irmanielyn Perwitasari, Ayu Prana Yoga Prilly Priscillia Alda Prista Eriyanti Putra Ariyanto Putra, Raden Bagus Dimas Qorik Indah Mawarni Raden Bagus Dimas Putera Raden Bagus Dimas Putra Raden Bagus Dimas Putra Raden Bagus Dimas Putra Raden Bagus Dimas Putra Rana, Dipo Yudhis Randi Fadillah Ratih Kumala Sari Retno Widianingsih Rizky Maulana Ambya Robby Sallam Robi Aziz Zuama Rohili Rohili Roris, Renaldi Putra Rusmanhadi Nugroho Said Ahmadi Samsir Samsir, Samsir Sanwani Sanwani Sanwani SANWANI SANWANI, SANWANI Sindi Dwi Wahyuni Siti Indriane Maebari Siti Indriane Maebari Sudrajat, Ridwan Sugeng Sutiarso Sugiyanti Sugiyanti Sugiyarto, Ipin Vitria Margharet Wandani, Putri Yolanda Yamin Nuryamin Yasdi Kharismawan Yeni Nuraeni Yoki Feriano Yustiyanto Zahra Rashifah Zakaria Maulana Arif