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DIGITALISASI MANAJEMEN PERSEDIAAN UMKM MELALUI IMPLEMENTASI ERP ODOO PADA SESERAHAN HANALUNA PEMALANG
Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat
Vol 6
, No 1
(2026)
Inventory management is a crucial aspect in ensuring the smooth operation of business activities, yet many micro, small, and medium enterprises (MSMEs) still rely on manual recording systems that are prone to errors and inefficiencies. Enterprise Resource Planning (ERP) systems such as Odoo provide an integrated platform to automate the recording, monitoring, and reporting of inventory transactions in real-time. This community service project was conducted at Seserahan Hanaluna, an MSME in Pemal...
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TRANSFORMASI STRATEGI PROMOSI DIGITAL UMKM MELALUI PELATIHAN FOTO PRODUK BERBASIS PRAKTIK MEDIA SOSIAL
Muafi, Siti Liza
; Asmiarti, Yufrida
; Kusumaningtyas, Nadya
; Rohman, Farkhan Nur
; Franscikal, Aditya
; Pamungkas, Yoma Bagus
Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat
Vol 6
, No 1
(2026)
Abstract
The development of social media has made visual content a crucial element in MSME promotional strategies. However, many MSME actors still face limitations in producing attractive product photographs that align with the characteristics of social media platforms. This Community Service Program (PKM) aimed to enhance the understanding and skills of MSME actors in Jomblang Subdistrict in product photography to support the optimization of digital promotion. The implementation method employed...
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PENGARUH EPS (EARNING PER SHARE), PER (PRICE EARNING RATIO), NPM (NET PROFIT MARGIN), DAN FINANCIAL DISTRESS TERHADAP HARGA SAHAM
Perwira Journal of Economics and Business
Vol 6
, No 1
(2026)
This study aims to empirically test the effect of EPS (Earning Per Share), PER (Price Earning Ratio), NPM (Net Profit Margin), and Financial Distress on stock prices. The type of research used is quantitative. The population of this study was 31 trading companies in the retail trade subsector listed on the Indonesia Stock Exchange in 2020-2023, while the sample of this study was 12 companies selected using a purposive sampling technique, so that the total sample that can be used for 4 years is 4...
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Implementasi Pemasaran Digital dan Online Branding sebagai Strategi Pengembangan UMKM
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
The development of digital technology has triggered significant changes in marketing and brand management, particularly in the Micro, Small, and Medium Enterprises (MSMEs) sector. This study aims to conduct a comprehensive analysis of the implementation of digital marketing and online branding as strategies for developing MSMEs to increase competitiveness and business sustainability in the digital economy era. This study focuses on the use of social media, marketplaces, and various other digital...
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Klasifikasi Jenis Bunga Menggunakan Algoritma Convolutional Neural Network (CNN)
Ade Irgi Firdaus
; Ade Irgi Firdaus
; Dwi Okta Djoas
; Riefaldi Diofano Saputra
; Indry Anggraeny
; Hilda Apriliya Ningsih
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
This research aims to develop a multiclass flower image classification system using the Convolutional Neural Network (CNN) algorithm with the EfficientNet architecture. The main problem addressed is the difficulty of manual identification of flower species that share high visual similarity. The research stages include collecting 17,299 flower images across 19 classes, performing data preprocessing such as image resizing, pixel normalization, and augmentation, followed by model training using the...
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Analisis Deteksi Komunitas Louvain, Infomap, dan Walktrap pada Konstruksi Social Network Analysis Jaringan Undang-Undang Republik Indonesia 2014-2024
Al Amin, Imam Husni
; Wibisono, Setyawan
; Hadikurniawati, Wiwien
; Lestariningsih, Endang
; Eniyati, Sri
Dinamik
Vol 31
, No 1
(2026)
Penelitian ini mengevaluasi performa tiga algoritma deteksi komunitas Louvain, Infomap, dan Walktrap dalam konteks social network analysis pada jaringan undang-undang Republik Indonesia periode 2014–2024. Jaringan dibangun dari hubungan kutipan antar undang-undang Republik Indonesia pada rentang waktu antara tahun 2014 sampai dengan tahun 2024. Kutipan antar undang-undang diperoleh pada bagian “Mengingat” pada setiap undang-undang, menghasilkan sebuah konstruksi struktur graf berarah dan tak ber...
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SuperBoost-AllerScan: Allergen Detection in Food Products - Data Mining and Machine Learning Approach
Dinamik
Vol 31
, No 1
(2026)
Behind the success of the Free Nutritious Meal Program (MBG), there are several problems related to the health factors of the program targets, namely, there are several cases of allergies that occur in schools, inadequate understanding of allergen management owned by food processing vendors, and the high cost of laboratory tests and the process that takes a long time. So, to overcome these problems, an application is proposed that can help detect allergens in food products using data mining and...
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Integration of ChaCha20 and LSB Steganography in a Digital Image-Based Information Security System
Dinamik
Vol 31
, No 1
(2026)
Meningkatnya ketergantungan pada sistem komunikasi digital telah memperkuat kebutuhan akan metode yang andal untuk melindungi data sensitif dari akses tidak sah. Studi ini memperkenalkan mekanisme keamanan terintegrasi yang menggabungkan enkripsi ChaCha20 dengan steganografi citra Least Significant Bit (LSB), yang menargetkan perlindungan data berbasis citra digital. ChaCha20, sebuah cipher aliran modern yang dikenal akan kecepatan dan keamanannya, digunakan untuk mengenkripsi pesan teks biasa (...
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Optimasi Sistem Credit Scoring Pembiayaan pada Lembaga Keuangan Mikro dengan Neural Network Integrasi Sample Bootstrapping dan Weighted PCA
Dinamik
Vol 31
, No 1
(2026)
Credit scoring is an important element in decision-making for providing financing, especially for microfinance institutions. Several methods for predicting credit scoring include Decession Tree, Gradient Boosted, Neural Network, K-NN, and Rule Induction. This study aims to improve the accuracy of financing risk prediction by efficiently integrating historical data. The Neural Network (NN) algorithm is a machine learning algorithm consisting of neurons (nodes) connected to each other in several l...
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PENERAPAN TEKNIK BIOLOGIC NURTURING BABY LEDFEEDING PADA IBU POST PARTUM SECTIO CAESAREA DENGAN MASALAH KETIDAKNYAMANAN DI RSU SIAGA MEDIKA BANYUMAS
Nursing Science Journal
Vol 6
, No 2
(2025)
Background: Surgical birth (sectio caesarea) is the main choice among modern women. Even though it is considered safe, many mothers experience post-operative pain which can interfere with the mother's recovery and comfort in caring for the baby. It is important to identify effective interventions to address this problem. Appropriate interventions are necessary to help mothers feel more comfortable and support their recovery process. One approach that is starting to be widely implemented is the B...
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