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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi JSITP Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia
Dimas Febri Kuncoro
Universitas Harapan Bangsa
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Public Health Social Sciences

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Rancang Bangun Sistem Pengaduan Masyarakat Berbasis Web Dengan Metode Waterfall Dimas Febri Kuncoro; Ulan Juniarti; Jessa Syahputra; R Bagus Bambang Sumantri; Riska Suryani
Jurnal Sistem Informasi dan Teknologi Peradaban Vol. 3 No. 2 (2022): Jurnal Sistem Informasi dan Teknologi Peradaban
Publisher : Prodi Sistem Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.304 KB) | DOI: 10.58436/jsitp.v3i2.1259

Abstract

Dalam era globalisasi seperti saat ini, perkembangan suatu teknologi informasi berkembang dengan cepat dan signifikan di berbagai aspek kehidupan, meliputi bidang pendidikan, ekonomi, politik, sosial, dan budaya. Dalam bidang pemerintahan pengelolaan data yang cepat, akurat, dan efisien diperlukan untuk menunjang dan mempermudah proses kerja dalam melayani masyarakat. Website merupakan salah satu opsi yang dapat digunakan untuk proses pengaduan masyarakat kepada lembaga pemerintahan. Perancangan sistem pengaduan masyarakat ini bertujuan untuk membantu masyarakat dalam menyampaikan aspirasi secara mudah dan cepat. Hasil perancangan website akan digunakan sebagai media untuk proses pengaduan masyarakat dan responsive yang cepat dari lembaga pemerintahan. Metode yang digunakan dalam perancangan website adalah metode waterfall yang termasuk dalam salah satu metode SDLC (Software Development Life Cycle) yang terdiri dari beberapa tahapan mulai dari analisis, desain, pengkodean, pengujian, dan dukungan. Hasil perancangan website adalah implementasi langsung ke internet melalui web hosting. Perancangan website diharapkan dapat menjadi solusi atas lamanya proses pengaduan masyarakat kepada lembaga pemerintahan.
Digital Entrepreneurship Education and Mentoring for PGRI Gumelar High School Students to Enhance Entrepreneurial Skills in International Markets Using Digital Media Purwono Purwono; Khoirun Nisa; Jatmiko Indriyanto; Lutviana; Dimas Febri Kuncoro
Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Vol. 3 No. 6 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jppmi.v3i6.212

Abstract

The development of information technology continues to increase and has reached all levels of society, including the younger generation. This generation is present as a cohort with superior personalities and the ability to comprehend knowledge and technology, enabling them to compete locally and globally. Technological advancements also catalyze innovations, fostering creativity in the economic and business fields. SMA PGRI Gumelar is a private school in Gumelar District, Banyumas Regency, which offers various life skill activities such as graphic design, foreign languages, photography, videography, and more. However, the existing activities have not yet yielded works that can be marketed internationally. This service aims to optimize graphic design life skills training for students so that they can produce work that is marketable on overseas platforms, namely Envato. This marketplace has specific standards for works that will be sold; therefore, education and assistance are provided to enhance motivation for digital media-based entrepreneurship in the international market. This beginner community service activity will be conducted from July to October 2023 at SMA PGRI Gumelar. The outcome of this activity will be graphic design work ready to be uploaded to the Envato marketplace. Based on the results of the questionnaire distributed to participants, there was an increase in motivation as a designpreneur, increasing by 35%, Figma skills increasing by 45% and Photoshop skills increasing by 35%. Another output of this project is a graphic design tutorial book with an ISBN number
Klasifikasi Jenis Sampah Berbasis Convolutional Neural Network dengan Optimasi Hyperparameter Tuning Arsitektur Mobilenet Dimas Febri Kuncoro; Anggit Wirasto; Deny Nugroho Triwibowo
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp130-144

Abstract

Waste management in Indonesia faces significant challenges with an increasing volume reaching approximately 175,000 tons per day. Public awareness of the dangers associated with improper waste disposal remains low, as many continue to litter indiscriminately. Waste sorting is the most effective method, involving separation based on waste types. Manual waste sorting is nonetheless inefficient, as it requires large spaces, substantial labor, and is prone to errors. This study aims to develop a waste classification model based on Convolutional Neural Network (CNN) with hyperparameter tuning optimization for the MobileNet architecture. The research adopts the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology and utilizes datasets from three waste categories organic, inorganic, and hazardous and toxic materials (B3) sourced from open Kaggle datasets. Model training was conducted using the MobileNet architecture with hyperparameter tuning optimization and resulting in optimal parameters Adam optimizer, learning rate of 0.01, batch size of 32, and 256 neurons. The results show that the model achieved 96% accuracy before optimization which increased by 2% to 98% after optimization. The model demonstrated high computational efficiency with the number of floating-point operations per second reaching 1.146 GFLOPS.
Co-Authors Bambang Sumantri, R Bagus Deny Nugroho Triwibowo Jatmiko Indriyanto Jessa Syahputra Khoirun Nisa Lutviana Purwono, Purwono Riska Suryani Ulan Juniarti Wirasto, Anggit