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All Journal ComEngApp : Computer Engineering and Applications Journal Journal of Information Systems and Informatics Jurnal Generic Jurnal Mandiri IT DEVOTE: Jurnal Pengabdian Masyarakat Global The Indonesian Journal of Computer Science
Ricy Firnando
University of Sriwijaya
Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science Library & Information Science Mathematics Social Sciences Other

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Perancangan Sistem Informasi Monitoring Dosen Pembimbing Mahasiswa Kerja Praktek (KP) Willy, Willy; Firnando, Ricy; Gumay, Naretha Kawadha Pasemah; Marjusalinah, Anna Dwi; Ariani, Ardina; Febriady, Mukhlis
Generic Vol 16 No 1 (2024): Vol 16, No 1 (2024)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/generic.v16i1.179

Abstract

Ilmu Pengetahuan dan Teknologi saat ini begitu pesat dalam perkembangannya, tidak terkecuali dalam bidang dunia digital, dalam hal ini ketua jurusan dan Koordinator program studi bahkan wakil dekan bidang akademik sangat kesulitan untuk memonitoring mahasiswa yang melakukan bimbingan akademik dan konsultasi kerja praktek. Bahkan sangat banyak kasus tidak mengetahui perkembangan dan keaktifan mahasiswa terhadap dosen pembimbing dan juga kurangnya informasi berapa sering mahasiswa tersebut melakukan mimbingan terhadap dosen pembimbing akademik sampai mahasiswa tersebut melakukan kerja praktek, sehingga dibutuhkan sebuah sistem informasi untuk memonitoring antara dosen pembimbing akademik terhadap mahasiswa dengan menggunakan metode agile, sehingga informasi tersebut dapat menjadi acuan oleh para pimpinan. Hasil penelitian akan menjadi acuan untuk membangun sistem informasi yang diharapkan dapat membantu proses monitoring antara dosen pembimbing dan mahasiswa.
Evaluation of Information Systems on the SIMDAPRO using the Unfield Theory of Acceptance and Use of Technology (UTAUT) Method Hasbiallah, Muhammad Jidan; Ibrahim, Ali; Indah, Dwi Rosa; Seprina, Iin; Firnando, Ricy
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.763

Abstract

The Management Information System for Housing Profile Data and Settlement Areas (SIMDAPRO) is a web-based system managed by Department Housing settlement Areas South Sumatra Province (DISPERKIM).. This system is integrated and unified, thus accelerating and improving the process of proposing assistance from the South Sumatra Provincial Government. Additionally, it facilitates related parties in verifying proposals. To analyse the factors influencing to understand how people accept and use the information technology, This study employs the UTAUT model, comprising four primary constructs: the first one is performance expectancy, and the next is the second effort expectancy, and the next one is the third social influence, and the next one is the fourth facilitating conditions. It aims to examine how these constructs influence the behavioral intention of (SIMDAPRO) application users in South Sumatra Province. The research approach is quantitative accompanied by a survey method. The research sample consists of 34 respondents who were chosen through using purposive sampling. Data collection techniques include validation, questionnaires, and observation. with instrument tests conducted for validity and reliability. The findings reveal that all four constructs the first one is performance expectancy, and the next is the second effort expectancy, and the next one is the third social influence, and the next one is the fourth facilitating conditions. significantly and positively impact the behavioral intention of SIMDAPRO application users in South Sumatra Province.
Perancangan Webiste EXP.CAN dalam Pencarian Resto di Palembang Firnando, Ricy; Willy, Willy; Kawadha Pasemah Gumay, Naretha; Marjusalinah, Anna Dwi; Ariani, Ardina
Generic Vol 16 No 2 (2024): Vol 16, No 2 (2024)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/generic.v16i2.191

Abstract

Dalam era digital yang semakin berkembang, kebutuhan akan akses informasi yang cepat dan tepat menjadi semakin penting, terutama dalam menjelajahi ranah kuliner. Palembang, sebagai salah satu kota dengan kekayaan kuliner yang melimpah, membutuhkan platform yang tidak hanya memudahkan para penggunanya dalam menemukan tempat makan berkualitas, tetapi juga memperkaya pengalaman kuliner mereka. Itulah mengapa Explore CAN (EXP.CAN) hadir sebagai solusi yang memadukan kepraktisan dan keberagaman dalam satu platform. Dengan menggabungkan teknologi dan kecanggihan pencarian, EXP.CAN memungkinkan pengguna untuk menemukan tempat makan terbaik di Palembang dengan mudah dan cepat. Fitur-fitur seperti filter untuk mencari tempat makan berdasarkan berdasarkan abjad dan lokasi memungkinkan pengguna untuk menyaring pilihan mereka sesuai dengan preferensi dan keinginan. Tak hanya itu, kemampuan untuk membaca ulasan dari pengguna lain juga memberikan wawasan yang berharga dalam memilih tempat makan yang tepat sesuai dengan selera dan kebutuhan.
TRAINING ON IMPROVING DIGITAL MARKETING SKILLS FOR THE PROMOTION OF FOOD PRODUCTS OF THE LIBERTI BERINGIN SAKTI FARMER GROUP OF PAGARALAM SELATAN Oklilas, Ahmad Fali; Ibrahim, Ali; Firnando, Ricy; Utama, Yadi
Devote : Jurnal Pengabdian Masyarakat Global Vol. 4 No. 1 (2025): Devote : Jurnal Pengabdian Masyarakat Global, Maret 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/devote.v4i1.3717

Abstract

The training was designed to support the business sustainability of the Liberti Farmer Group located in Beringin Sakti Village, Ulu Rurah Village, Pagaralam Selatan Sub-district, Pagaralam City. The training included training to improve digital marketing skills to promote food products. This activity aims to provide a basic understanding of digital marketing and teach farmer group members how to use digital technology to promote their food products more efficiently and effectively. In this training, they will learn how to use social media as a marketing platform, create engaging content to promote goods, and increase market reach by using online marketplaces and advertisements. The hands-on practice-based method teaches participants how to create digital catalogs, manage social media accounts, and utilize SEO techniques to increase the visibility of their products. The training can improve the skills of farmer group members in utilizing digital technology for promotion, expanding the market for agricultural products, and increasing income.
Implementation of Feature Selection for Optimizing Voice Detection Based on Gender using Random Forest Abdurahman; Vindriani, Marsella; Prasetyo, Aditya Putra Perdana; Sukemi; Buchari, M. Ali; Sembiring, Sarmayanta; Firnando, Ricy; Isnanto, Rahmat Fadli; Exaudi, Kemahyanto; Dudifa, Aldi; Riyuda, Rafki Sahasika
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 2 (2025)
Publisher : Universitas Sriwijaya

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

Abstract

Gender-based voice detection is one of the machine learning applications that has various benefits in technology and services, such as virtual assistants, human-machine interaction systems, and voice data analysis. However, the use of too many features, including irrelevant features, can cause a decrease in accuracy and model performance. This research aims to optimize voice-based gender detection by applying a feature selection method to select significant features based on their correlation value to the target. Experimental results show that by using only the significant features selected through correlation analysis, the accuracy of the model is significantly improved compared to using all available features. This research confirms the importance of feature optimization to support the development of more efficient and accurate gender-based speech detection models.
Pengembangan Game Android Pada Anak Menggunakan Pendekatan User Centered Design Dan Evaluasi Usability Think Aloud Alvico, Alvico; Kurniawan, Dedy; Meiriza, Allsela; Syahbani, Muhammad Husni; Firnando, Ricy
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i3.4396

Abstract

Technology, especially handheld devices, has become an integral part of modern life. The use of handheld devices among children aged 12-15 years reaches 99.61%. Despite the potential to cause dependency, these devices can be utilized positively, for example through learning with educational games. One of them is a titungan game that aims to increase user motivation and skills. However, the development of this game must also consider user needs. This research applies the User Centered Design method to improve the experience and comfort of playing, and the Think Aloud method as an evaluation. This study involved 8 participants consisting of children with an age range of 10-14 years. The results showed that the developed application has met the needs of users, with only two problems identified from 64 total evaluation scenarios with a percentage of 96.87% using the Think Aloud method.
Performance analysis of MobileNetV2 based automatic waste classification using transfer learning Firnando, Ricy; Buchari, Muhammad Ali; Marjusalinah, Anna Dwi; Willy; Abdurahman; Isnanto, Rahmat Fadli
Jurnal Mandiri IT Vol. 14 No. 1 (2025): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i1.451

Abstract

The significant increase in global waste requires innovative and accessible solutions, which aligns with Sustainable Development Goal (SDG) 12, which focuses on reducing the environmental impact of human activities. Automatic waste sorting using Computer Vision and Deep Learning offers a promising alternative to labor-intensive and risky manual methods. This study presents the design, implementation, and comprehensive performance analysis of an automated waste classification system, with a specific focus on evaluating its feasibility on hardware without specialized GPU accelerators. By leveraging transfer learning on a lightweight Convolutional Neural Network (CNN) architecture, MobileNetV2, a model was trained to classify six common waste categories: cardboard, glass, metal, paper, plastic, and other waste. The public “Garbage Classification” dataset from Kaggle, consisting of 2,527 images, was used as the basis for training and validation. The experiment was conducted using the tensorflow-cpu library, which does not require a dedicated GPU accelerator. After 10 training epochs, the model achieved a significant validation accuracy of 86.73%. Computational performance analysis showed an efficient average training time of 31.17 seconds per epoch and a fast average inference time of 14.47 milliseconds per image (~69 FPS) on the validation dataset. These findings demonstrate the feasibility of developing an effective AI-based waste classification system on hardware without a GPU accelerator, providing a realistic performance benchmark for the development of low-cost smart bins with embedded waste sorting solutions in the future, thereby contributing to sustainable waste management practices.
Co-Authors Abdurahman Aditya Putra Perdana Prasetyo Ahmad Fali Oklilas Ali Ibrahim Allsela Meiriza, Allsela Alvico, Alvico Ariani, Ardina Buchari, M. Ali Buchari, Muhammad Ali Dudifa, Aldi Dwi Rosa Indah Febriady, Mukhlis Firdaus Gumay, Naretha Kawadha Pasemah Hasbiallah, Muhammad Jidan Kawadha Pasemah Gumay, Naretha Kemahyanto Exaudi Marjusalinah, Anna Dwi Muhammad Naufal Rachmatullah Rahmat Fadli Isnanto Riyuda, Rafki Sahasika RR. Ella Evrita Hestiandari Sarmayanta Sembiring Seprina, Iin Siti Nurmaini Sukemi Syahbani, Muhammad Husni Vindriani, Marsella Willy Willy, Willy Yadi Utama