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Utomo, Pradita Eko Prasetyo
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Digitalisasi Tema Dan Motif Batik Jambi (e-Batik) Sebagai Strategi Branding Dan Media Promosi Untuk Upaya Meningkatan Pangsa Pasar Dan Pemasaran Produk UMKM Di Kecamatan Danau Teluk Kota Jambi Suratno, Tri; Sari, Novita; Suprayogi, Dawam; Saputra, Edi; Utomo, Pradita Eko Prasetyo
Jurnal Pengabdian Masyarakat Pinang Masak Vol. 6 No. 1 (2025): Juni 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jpm.v6i1.41929

Abstract

Kecamatan Danau Teluk merupakan salah satu Kecamatan yang berada di Kawasan Seberang Kota Jambi yang sebagian penduduknya bekerja sebagai pengelola dan pekerja Industri Kecil dan Menengah (IKM). Salah satu produk khas dan menjadi andalan IKM di Kecamatan Danau Teluk adalah Batik Jambi. Produk Batik Jambi ini cukup banyak diminati pembeli dan sudah dikenal cukup luas di pasaran. Batik Jambi dipasarkan dalam bentuk bahan kain maupun baju dengan berbagai model. Untuk pemasaran, Batik Jambi dijual baik secara offline melalui secara online seperti media sosial layaknya Facebook, Instagram, WhatsApp serta situs belanja online seperti shopee dan Tokopedia. Akan tetapi produk disusun di etalase secara bertumpuk, sehingga jika pembeli ingin melihat motif yang ada, maka mereka harus mengeluarkan produk dari etalase dan mebentangkannya. Hal ini tentunya cukup merepotkan bagi penjual jika harus mengeluarkan dan membentangkan satu per satu kain batik yang ada. Selain itu menjadi tidak praktis bagi pembeli jika ingin memilih motif. Adapun tujuan pertama dari kegiatan ini adalah untuk mendokumentasikan tema dan motif Batik Jambi yang diproduksi oleh penjual dalam bentuk katalog elektronik maupun katalog cetak. Dengan adanya katalog versi elektronik maupun cetak, akan mempermudah penjual untuk menawarkan produknya kepada pembeli dan pembeli pun akan dapat memilih produk dengan mudah. Sedangkan tujuan kedua dari kegiatan pengabdian ini adalah untuk membantu pengrajin mendaftarkan perlindungan Hak Cipta terhadap motif batik Jambi hasil penciptaan pengrajin.
Optimalisasi Pemanfaatan Media Sosial Untuk Peningkatan Pangsa Pasar Dan Penjualan Produk UMKM (Kelurahan Olak Kemang, Jambi) Novita Sari; Pradita Eko Prasetyo Utomo; Yenny Yuniarti; Dwi Kurniawan; Rizqa Raaiqa Bintana
Jurnal Pengabdian Masyarakat Pinang Masak Vol. 6 No. 1 (2025): Juni 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jpm.v6i1.41970

Abstract

Olak Kemang merupakan salah satu kelurahan yang ada di kelurahan Danau Teluk Kota Jambi. Sebagian penduduknya merupakan pelaku Usaha Mikro Kecil dan Menengah (UMKM). Produk yang dihasilkan biasanya khas daerah Jambi, seperti makanan dan juga kerajinan tangan. Selama ini, pemasaran yang dilakukan masih menggunakan metode yang konvensional. Hal ini dikarenakan terbatasnya pengetahuan pengelola UMKM di daerah Kelurahan Olak Kemang dalam memanfaatkan teknologi informasi untuk menunjang proses pemasaran produk yang mereka hasilkan. Melalui digital marketing dan optimalisasi penggunaan media sosial sebagai media promosi, maka membuka peluang produk menjangkau pasar yang lebih luas. Untuk itulah tim pengabdian melaksanakan program pengabdian kepada masyarakat dengan menerapkan IPTEK. Kegiatan yang akan dilaksanakan adalah pengembangan digital marketing dan optimalisasi pemanfaatan media sosial sebagai media promosi, yang nantinya akan dikemas dalam bentuk video produk yang diiklankan secara premium di media sosial guna memperluas pangsa pasar dalam penjualan produk pada Usaha Mikro Kecil dan Menengah (UMKM) di Kelurahan Olak Kemang. Kegiatan pendampingan dilakukan dalam 3 sesi, yaitu sesi pertama adalah kegiatan penyampaian materi, gagasan dan ide tentang digital marketing dan pemanfaatan media sosial. Sesi kedua adalah kegiatan pembuatan, penerapan dan pendampingan pemanfaatan media dan sesi ketiga adalah pendampingan. Luaran yang dihasilkan dari kegiatan pengabdian kepada masyarakat ini adalah peningkatan pemahaman dan keterampilan masyarakat tentang digital marketing dan promosi menggunakan media sosial.
Pemeliharaan dan Pelatihan Troubleshoot Jaringan Komputer untuk Peningkatan Layanan Akademik Universitas Jambi Sahrial; Arsa, Daniel; Utomo, Pradita Eko Prasetyo; Suprayogi, Dawam; Ilhami, Mohamad
Jurnal Pengabdian Masyarakat Pinang Masak Vol. 6 No. 1 (2025): Juni 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jpm.v6i1.42032

Abstract

ICT (Information and Communication Technology) infrastructure and networks are essential components in supporting the success of an organization. In today's digital era, ICT infrastructure and networks are key in facilitating communication and collaboration, managing data, optimizing operational efficiency, and increasing organizational innovation capabilities. Therefore, investment in ICT infrastructure and networks is significant in strengthening the competitiveness and sustainability of organizations in the current digital era. This investment may be related to routine maintenance and training for related human resources. To support academic and operational activities at the Faculty of Science and Technology and Institute for Research and Community Services (LPPM) Universitas Jambi, it is necessary to carry out comprehensive computer and internet network maintenance activities at these two locations. Then, it is also necessary to carry out more intensive training for the assigned Engineer on-site to handle basic computer network problems (troubleshooting).
ANALISIS PENERIMAAN APLIKASI MCDONALD’S DENGAN MENGGUNAKAN METODE TECHNOLOGI ACCEPTANCE MODEL (TAM): Actual Use, Attitude, Behavioral Intention, McDonald’s Application, Perceived Ease of Use, Perceived Usefulness, Technology Acceptance Model Mh. Khathamy Fhadlullah Haq Syahlevy; Pradita Eko Prasetyo Utomo; Abidin, Zainil
JURNAL AKADEMIKA Vol 17 No 2 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v17i2.1726

Abstract

This research aims to analyze user acceptance of the McDonald’s application using the Technology Acceptance Model (TAM) framework. TAM is a theoretical model used to understand the factors influencing technology adoption. In this study, five main variables were examined to determine the relationships between user acceptance elements: Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Attitude Toward Using (ATU), Behavioral Intention to Use (BI), and Actual Use (AU). The sample size in this study consisted of 80 respondents, determined using Hair's formula. The questionnaires were distributed in two ways: by handing out paper leaflets at McDonald’s outlets and by distributing them online via Google Forms. The data analysis in this study involved testing several models and conducting hypothesis testing. The results indicate that Perceived Usefulness has a significant positive effect on Attitude Toward Using, while Perceived Ease of Use has a significant negative effect on Attitude, yet a positive influence on Perceived Usefulness. Furthermore, Attitude significantly and positively affects Behavioral Intention, and Behavioral Intention significantly influences Actual Use. These findings suggest that users’ attitudes and intentions play a crucial role in encouraging the actual use of the McDonald’s application.
Implementation of a CNN-trained model for coffee type detection in an Android app with photo input of beans, fruits, and leaves Hidayat, M. Taufik; Utomo, Pradita Eko Prasetyo; Hutabarat, Benedika Ferdian
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 1 (2024): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v15i1.19563

Abstract

Coffee is the most consumed type of drink in the world. Each type of coffee has different physical characteristics from leaves, fruits to seeds. Now technology is needed in the world of agriculture in making decisions. To determine the type of coffee with fission characteristics, there are still many people who do not understand in distinguishing the physical characteristics of coffee plants. In this case, an application was developed using the RAD method by utilizing the flutter framework and the Convolutional Neural Network model that has been trained. The pre-train model used is NasNet Mobile with a dataset of 900 photos and 100 epochs with early-stopping utilization and heti at epoch 55 with an accuracy of 90.67%. In this study, implementing existing models into Android applications using the Flutter framework. With the implementation process carried out by the application can help the detection process using an android device. The implementation results get good test results with a score of 0.97. This application can help the process of identifying the type of coffee and minimize errors in identifying directly.
A Marketplace System Web-Based Using The Extreme Programming Method Hadaya, M. Syahan Afdhal; Utomo, Pradita Eko Prasetyo; Bintana, Rizqa Raaiqa
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 13, No 3 (2025)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v13i3.90960

Abstract

This study aims to design and develop a web-based marketplace information system for X University using the Extreme Programming methodology while also evaluating the functionality of its features. The selected method, Extreme Programming (XP), focuses on rapid iterative development and effective communication with stakeholders. The system was successfully designed and developed through three iterative cycles. During the first iteration, development was conducted by implementing the pre-planned design based on the established release plan. The second iteration continued with the same development process, adhering to the outlined steps in the release plan. In the third iteration, additional actors and new features were incorporated into the system. To assess the system"™s performance, functionality testing was conducted using the Black Box Testing method. The results indicated that the system operated optimally, achieving a 100% success rate. This research also identified challenges faced by students and users when conducting literature reviews and purchasing products. One key issue is the difficulty users experience in accessing real-time product stock information. Additionally, buyers are still required to visit X University in person to make purchases. To address these challenges, the development of an online marketplace is necessary to facilitate seamless transactions. Thus, this research was carried out with the goal of providing a practical solution to these existing problems.
Membangun Dashboard Visualisasi Data Sebagai Analisis Data Kesehatan Mental Untuk Menyusun Strategi Intervensi Komunitas Mahasiswa Simanjuntak, Januar; Haloho, Ica Yunarti Haloho; Salsabila, Adinda Desiska; Utomo, Pradita Eko Prasetyo
Jurnal Ilmu Komputer dan Teknologi Informasi Vol. 2 No. 2 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jikti.v2i2.1522

Abstract

The increasing prevalence of mental health disorders among students, especially depression, has become a major concern in higher education. Based on an analysis of 27,901 student data, it was found that more than 60% of respondents experienced symptoms of depression and suicidal thoughts. This research aims to develop a data visualization dashboard as a tool for early detection and monitoring of students' mental health conditions. The method used is a quantitative descriptive approach based on data exploration, utilizing secondary datasets from the Kaggle platform. Visualization is conducted through three main dashboards covering the general conditions of depression, psychosocial and academic risk factors, as well as demographic distribution and intervention strategies. The analysis results show that academic pressure, lack of sleep, and financial stress are the dominant factors. This dashboard facilitates campus stakeholders, such as counselors and lecturers, in making data-driven decisions to formulate more targeted intervention strategies. This findings emphasize the importance of integrating data-driven counseling services, early detection, and tailored intervention approaches for the most vulnerable groups of students based on age and gender.
Analysis Of Tokopedia Product Clustering Using The K-Means And K-Medoids Algorithms Malik, Raihan; Utomo, Pradita Eko Prasetyo; Hutabarat, Benedika Ferdian
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.6992

Abstract

The Indonesian e-commerce market has experienced extraordinary growth, driven by increasing internet penetration and smartphone adoption, which necessitates advanced data analysis for competitive advantage. Clustering is a crucial data mining technique used to group products based on similar characteristics, providing in-depth insights into product performance. Previous studies often focused on single performance metrics, overlooking the nuances of combining multiple variables. This study aims to address this gap by implementing and comparing the K-Means and K-Medoids clustering algorithms on Tokopedia product data using a combination of numerical attributes: Price, Customer Rating, Number Sold, and Total Review. The methodology involved data preprocessing, Min-Max Scaling for normalization, and using the Elbow Method to determine the optimal number of clusters, which was found to be K=2. The clustering quality was rigorously evaluated using the Davies-Bouldin Index (DBI) and Silhouette Score. The results demonstrate that K-Means exhibits superior performance, achieving a lower DBI of 0.5717 and a higher Silhouette Score of 0.6012, compared to K-Medoids (DBI: 0.5870; Silhouette Score: 0.5857). Furthermore, K-Means proved significantly more efficient computationally, with an execution time of 0.0947 seconds versus 0.1622 seconds for K-Medoids. The main conclusion is that K-Means is more effective in creating compact and clearly separated clusters. This research contributes a valuable analytical framework for e-commerce managers to comprehensively understand product profiles, guiding more effective marketing and recommendation strategies.
Analisis Implementasi Algoritma Genetika pada Penjadwalan Mata Kuliah Nasution, Mukhtada Billah; Utomo, Pradita Eko Prasetyo; Iftita, Hasanatul
Algoritme Jurnal Mahasiswa Teknik Informatika Vol 6 No 1 (2025): Oktober 2025 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v6i1.11139

Abstract

Scheduling university courses is a complex challenge involving multiple variables, such as time allocation, room assignment, lecturer availability, and student requirements. This study explores the implementation of a genetic algorithm as a solution for generating optimal and efficient schedules. The genetic algorithm operates through the principles of selection, crossover, and mutation to progressively explore the solution space. Experiments were conducted using parameters of 50 individuals and 40 chromosomes, yielding an optimal schedule at the 124th iteration with a maximum fitness value (fitness = 1). The results indicate that the fitness value of individuals increases as generations progress, affirming the genetic algorithm's capability to achieve optimization iteratively. However, the stochastic nature of the algorithm leads to variations in the number of generations required to reach optimal results, influenced by the problem's complexity and the number of chromosomes. This study demonstrates that genetic algorithms are highly effective in solving complex scheduling problems with significant efficiency, producing solutions that meet constraints and support more structured operations. The algorithm contributes substantially to the development of automated scheduling systems in educational institutions and other sectors.
Semantic FAQ Chatbot Using SBERT (Sentence-BERT) and Cosine Similarity for Academic Services Holis, Rahul Marcellino; Utomo, Pradita Eko Prasetyo; Hutabarat, Benedika Ferdian
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7027

Abstract

Handling repetitive inquiries in academic environments requires significant time and human resources, potentially delaying service delivery. This study developed a semantic FAQ chatbot using Sentence-BERT (SBERT) and Cosine Similarity to improve efficiency and consistency of academic information services at Universitas Jambi. The system encodes user queries into dense vector embeddings and compares them with FAQ entries using cosine similarity. A dataset of 65 frequently asked questions was collected through interviews and direct observation with students, lecturers, staff, and helpdesk officers. To evaluate semantic understanding, these entries were expanded into 130 question variations using paraphrasing. Model performance was measured with a confusion matrix and standard metrics. At a similarity threshold of 0.5, the system achieved 79.2% accuracy, 81.7% precision, 96.3% recall, and an F1-score of 88.4%. The results show that SBERT effectively identifies semantically similar questions with different wordings, handling both formal and informal Indonesian queries. High recall demonstrates that most relevant questions were successfully retrieved, while precision remains sufficient to ensure reliable responses. This study demonstrates that SBERT-based semantic matching can successfully handle Indonesian academic FAQ with diverse linguistic variations, enabling 24/7 accessibility and consistent service delivery independent of staff availability. Future work should expand the dataset to include emerging queries and conduct pilot deployment to validate operational effectiveness and user satisfaction
Co-Authors Abidin, Zainil Afifa, Afifa Lutfia Fakhira Akhiyar Waladi Anwar, Gema Fitria Arsa, Daniel Aryani, Reni Aryawan, Made Gitra Aulia Dwiza Puteri Ayu Indryani Azhari SN Benedika Ferdian Hutabarat Bisma Aulia Cepi Ramdan Cepi Ramdan Chit, Suwannit Chareen Dawam Suprayogi Dedy Setiawan Dedy Setiawan Desi Musfiroh Dewa, Raldi Fitra Dinda Fatimah Sarah Dwi Agus Kurniawan Dwi Kurniawan Edi Saputra EDI SAPUTRA Elisa, Edi Fatoni, Yuda Fitri, Lucky Enggraini Ghaitsa Althafah Wandira Ghaitsa Althafah Wandira Hadaya, M. Syahan Afdhal Haloho, Ica Yunarti Haloho Hasanatul Iftitah Hasby Kuswanto Holis, Rahul Marcellino Iftita, Hasanatul Ilhami, Mohamad Imelda Raudati Imelda Raudati Indra Weni Jaya, Asirman Jefri Marzal Jefri Marzal Jefri Marzal Jodion Siburian Khaira, Ulfa Lucky Enggraini Fitri Lutvianita, Febby M. Taufik Hidayat Mahadewa, Agung Mahmudin, Riyan Malik, Raihan Mauladi Mauladi Mauladi Mauladi Mh. Khathamy Fhadlullah Haq Syahlevy Mochammad Farisi Muhammad Iqbal Muksin Alfalah mutia fadhila putri, mutia fadhila Nasution, Mukhtada Billah Novita Sari Novita Sari Putra, Tri Syukria Putra, Yahya Nugraha Putri Hazmawati Putri, Anastasya Alya Ragil Johanda Rahayu Rahayu Rayandra Asyhar Reni Triyaningsih Repaldi Handi Saputra Reza Safitri Rizka Octavia Sandra Rizky Janatul Magwa Rizqa Raaiqa Bintana Sahrial Salmah Nur Zahra Salman Jumaili Salsabila, Adinda Desiska SAUDAGAR, FERDIAZ Sigit Indrawijaya Simanjuntak, Januar SRI RAHAYU Sukma, Silvia Antana Sulfiyandi Sulfiyandi Suwannit Chareen Chit Sylvia Kartika Wulan Bhayangkari Tasia Maidi Saputri Tasia Maidi Saputri Tedjo Sukmono Teguh Sumarsono Tri Suratno Ulfa Khaira, Ulfa Wahyu, Ofel Idhan Yenny Yuniarti Yoppie Wulanda Yosika Dian Saputri Yovita, Kristian Yuhana Yuhana Yusnita, Erli