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All Journal JIPN (Journal of Informatics Pelita Nusantara) The IJICS (International Journal of Informatics and Computer Science) JPM: JURNAL PENGABDIAN MASYARAKAT
Megaria Purba
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Aerospace Engineering Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Transportation Other

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KEMASAN DAN PEMASARAN ONLINE ROTI UBI TALAS DALAM RANGKA MENAMBAH PENGHASILAN IBU-IBU PKK TANJUNG GUSTA Megaria Purba
Journal Of Informatic Pelita Nusantara Vol 1 No 1 (2016): Journal Of Informatic Pelita Nusantara (JIPN)
Publisher : STMIK Pelita NUsantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (202.458 KB)

Abstract

Abstrak Keterampilan yang dimiliki Ibu PKK dalam pembuatan roti ubi talas produknya masih digunakan sebatas kalangan sendiri yaitu pada acara peraayaan dirumah sperti hari raya idul fitri,tahun baru atau acara keluarga lainya.  Produk roti ubi talas belum pernah dijual agar hasil penjualanya dapat menambah penghasilan Ibu PKK desa Tg.Gusta. Produk roti ubi talas yang dibuat oleh ibu PKK desa Tg.Gusta perlu ditingkatkan khusus pada pengemasan sehingga produk roti ubi talas layak dipasarkan secara online agar menambah pendapatan penghasilan rumah tangga. Politeknik santo Thomas Medan melalui pengabdian IbM memotivasi para peserta pelatihan ibu PKK untuk meningkatkan kualitas roti ubi talas dengan memberikan pelatihan pengemasan roti ubi talas  yang aman dan menarik sehingga  produksi roti ubi talas layak dipasarkan secara online. Selanjutnya akan diberikan pelatihan penggunaan aplikasi pemasaran online roti ubi talas untuk pengembangan data base sekaligus promosi di dunia maya. Dengan pengabdian yang dilakukan Ibu PKK desa Tanjung Gusta memiliki ketrampilan untuk memprodusi roti ubi talas yang dikemas dan aplikasi pemasaran online. Kata kunci: Kemasan,pemasaran,online.roti,ubi, talas
Aplikasi Layanan Jasa Pada Laundry Berbasis Android Untuk Meningkatkan Pelayanan di Ion Laundry Medan Liskedame Yanti Sipayung; Dameria Esterlina Sijabat; Megaria Purba
JPM: Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v5i1.2051

Abstract

Laundry salah satu usaha yang bergerak dibidang pelayanan jasa berupa pencucian pakaian seperti pada Ion Laundry Aplikasi Android Ion Laundry menawarkan kemudahan akses dan efisiensi bagi pelanggan dalam menggunakan layanan laundry. Pengguna dapat memesan layanan, melacak status pesanan, dan melakukan pembayaran secara online. Aplikasi ini terintegrasi dengan sistem internal Ion Laundry untuk memastikan kelancaran operasional dan kepuasan pelanggan. Manfaat aplikasi yaitu Bagi pelanggan: Kemudahan akses layanan laundry, Pelacakan status, pesanan secara real-time, Pembayaran online yang aman dan nyaman, Promosi dan penawaran eksklusif, Layanan pelanggan yang lebih personal. Sedangkan bagi Bagi perusahaan: Peningkatan efisiensi operasional, Peningkatan kepuasan pelanggan, Peningkatan citra perusahaan, Peluang untuk mengembangkan layanan baru. Aplikasi Android Ion Laundry merupakan solusi inovatif untuk meningkatkan layanan laundry di era digital. Manfaatnya bagi pelanggan dan perusahaan menjadikan aplikasi ini sebagai alat yang berharga untuk meningkatkan daya saing dan membuka peluang baru.
Book Tracking Methods In Libraries Using Online Public Access Catalog sipayung, liska; Megaria Purba; Abiomega Maria Manalu; Puji Nirwana
The IJICS (International Journal of Informatics and Computer Science) Vol. 9 No. 3 (2025): November
Publisher : Universitas Budi Darma

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Abstract

Advances in information technology have encouraged libraries to transform from conventional service systems to digital-based services to improve the quality of information access for users. One problem still frequently encountered in libraries is the limited access for users to quickly and accurately search for books, especially in libraries with growing collections. This study examines the implementation of a book tracking method in libraries using the Online Public Access Catalog (OPAC) as the primary means of searching collections. The purpose of this study is to analyze the effectiveness of OPAC use in helping users find bibliographic information and book locations independently and efficiently. The research methods used included literature review, user needs analysis, digital catalog system design, and implementation of a web-based OPAC integrated with the library's collection database. The OPAC system is designed to support book searches based on various parameters, such as title, author, subject, and keywords, thus facilitating user access to relevant information. System testing was conducted through functional testing and usability evaluation to assess the accuracy of search results and user-friendliness of the interface. The results indicate that the implementation of OPAC can improve the speed and accuracy of the book tracking process, reduce search errors, and increase user satisfaction with library services. Furthermore, this system contributes to improving librarians' work efficiency and supporting more structured collection management. Therefore, the OPAC book tracking method can be a strategic solution to support the modernization of library services and the sustainable optimization of information access.
Analysis of Digital Image Forensics Authentication in Image Forgery Cases Dameria E Br Jabat; Megaria Purba; Mhd. Avin Winata; Sophia Widiana
The IJICS (International Journal of Informatics and Computer Science) Vol. 9 No. 3 (2025): November
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v9i3.9440

Abstract

This document introduces a combined framework for validating digital images in forensic contexts by merging Error Level Analysis (ELA) with Convolutional Neural Networks (CNN). The innovation of this research resides in the direct integration of a conventional explainable forensic method alongside a datadriven deep learning approach to ensure both clarity and enhanced detection efficacy. ELA serves to identify JPEG compression irregularities as forensic indicators, whereas CNN is employed to extract significant hierarchical features for robust image categorization. Trials were performed on the CASIA v2.0 dataset, which comprises 10,002 authentic and altered images. The suggested two-stream architecture concurrently processes original images and ELA-generated maps, facilitating synergistic feature acquisition. The hybrid model secures an accuracy rate of 74.32%, illustrating a 7.2% enhancement over isolated ELA. Furthermore, the framework diminishes the false positive rate from 50.2% to 34.8% while maintaining high sensitivity (0.84) in identifying altered regions. From a machine learning angle, this research illustrates how manually crafted forensic attributes can boost CNN capabilities when merged at the input stage. From an image processing viewpoint, it confirms ELA as a potent preprocessing strategy for directing deep feature extraction. The proposed framework provides an equilibrium between precision and forensic transparency, making it ideal for real-world digital forensic practices, including application in environments with limited resources.
Co-Authors Abiomega Maria Manalu Dameria E Br Jabat Dameria Esterlina Sijabat Liskedame Yanti Sipayung Mhd. Avin Winata Puji Nirwana sipayung, liska Sophia Widiana