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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Journal of Information System E-Dimas: Jurnal Pengabdian kepada Masyarakat JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Pengembangan Rekayasa dan Teknologi Jurnal Surya Masyarakat JSiI (Jurnal Sistem Informasi) ScientiCO : Computer Science and Informatics Journal Journal of Information Systems and Informatics Aiti: Jurnal Teknologi Informasi Jurnal Surya Masyarakat Djtechno: Jurnal Teknologi Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Riptek SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Jurnal INFOTEL Tematik Jurnal Informatika: Jurnal Pengembangan IT Signal and Image Processing Letters International Journal of Artificial Intelligence and Science Jurnal DIMASTIK
Aria Hendrawan, Aria
Universitas Semarang
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Public Health Social Sciences Transportation Other

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Pemanfaatan Instagram untuk Media Promosi dalam Meningkatkan Ketahanan UMKM bagi Forum Gerakan Terintegrasi Masyarakat Koperasi dan Usaha Mikro (Gerai Kopimi) Lamper Lor Semarang Selatan Aria Hendrawan; Khoirudin Khoirudin; Vensy Vydia
Jurnal Surya Masyarakat Vol 6, No 1 (2023): November 2023
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.6.1.2023.26-30

Abstract

This dedication was motivated by a request from one of the GERAI KOPIMI FORUM (Gerakan Terintegrasi Masyarakat Koperasi Dan Usaha Mikro) located in Lamper Lor, South Semarang, so that Lamper Lor, UMKM South Semarang could reach a wider market.  With the COVID-19 pandemic, product marketing must be transformed using internet media, due to the limited space for product marketing. USM community service team through the Community Service program will provide assistance to the UMKM Forum Gerai Kopimi Semarang Selatan using social media to promote their products more broadly. Armed with information technology knowledge, especially in the field of marketing using social media and product shooting techniques owned by the service team, it is hoped that they will be able to expand the reach of marketing their products. This activity will be carried out in several stages, First, conducting field surveys related to partner problems, Second, designing the most appropriate methods for utilizing social media for product marketing and designing the most suitable packaging designs for products so that they can increase the value of partner products. Third, conduct training for partners to optimize social media in marketing products. Fourth, evaluate the results of the training. The positive response was given by almost all participants who wanted to use the Instagram platform as a medium for promoting products of UMKM and felt satisfied with the training provided, so they wanted more training.
Penerapan Teknologi Robotic Ship Fishery untuk Pemberdayaan Nelayan Desa Surodadi Kabupaten Demak Supari Supari; Aria Hendrawan; Purwanto Purwanto
Jurnal Surya Masyarakat Vol 8, No 2 (2026): Mei 2026
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.8.2.2026.251-258

Abstract

Traditional fishermen in Surodadi Village face productivity constraints due to their reliance on conventional fishing gear and the lack of post-harvest facilities. This community service program offers a solution through the planned implementation of Internet of Things (IoT)-based Robotic Ship Fishery (RSF) technology and the construction of cold storage infrastructure. The implementation method uses the Participatory Rural Appraisal (PRA) approach, encompassing socialization, technical and managerial training, and hardware engineering, and involves 20 fishermen as target partners. The results indicate that the RSF prototypes are currently undergoing functional laboratory testing, while the construction of the 100 kg capacity cold storage is in the physical development phase. This intervention has significantly improved human resource cognitive capacity, with posttest evaluations showing that 100% of partners (20 people) understand the function of navigation technology for fuel efficiency and 93.3% (19 people) understand cold chain management. It is concluded that the program has successfully established a foundation for human resource readiness and a paradigm shift toward modern, independent fishery businesses. However, the real economic impacts will require monitoring following full implementation of the technology.
Deteksi Gangguan Tidur Menggunakan Support Vector Machine pada Aplikasi Web Streamlit Satria Dava Riansa; Aria Hendrawan
JOINS (Journal of Information System) Vol 11 No 1 (2026): (Desember 2025 - Mei 2026)
Publisher : Fakultas Ilmu Komputer, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/joins.v11i1.16125

Abstract

Sleep disorders are health problems that may affect an individual’s physical condition, mental well-being, and daily productivity. These conditions can be influenced by lifestyle and physiological factors, such as sleep duration, sleep quality, stress level, physical activity, heart rate, and blood pressure. This study aims to apply the Support Vector Machine (SVM) method to classify sleep disorders into three categories, namely normal, insomnia, and sleep apnea, as well as to develop a Streamlit-based web application to support interactive prediction. The dataset used in this study is the Sleep Health and Lifestyle dataset obtained from Kaggle. The research stages include data preprocessing, normalization using StandardScaler, model training using SVM and five comparison algorithms, and hyperparameter tuning to obtain the best performance. The evaluation results show that the SVM model with a poly kernel achieves an accuracy of 97.33% and a macro F1-score of 0.9569. The best model is then implemented into a web application that displays classification results along with the probability of each class, making it useful as an accessible early screening tool for sleep disorders.
Co-Authors Adiuntoro, Alwan Agho, Davit Cany Agusta Praba Ristadi Pinem Agusta Praba Ristadi Pinem April Firman Daru Awaliyah, Rafika Farkhul Basworo Ardi Pramono Cholil, Saifur Rohman Christine Dewi Christioko, B.Very Dimas Dwi Budiarjo Febrian Wahyu Christanto Henny Indriyawati Khairunnisa, Hasna Rizqia Khoiriyah, Rofiatul Khoirudin Khoirudin Lenny Margaretta Huizen Luqman Hakim Maulana, Charis Maulida, Innayah Nabilah Putri Nur Wakhidah Oky Dwi Nurhayati Pinem, Agusta Praba Ristadi Pradana, Muhamamd Surya Jati Prind Triajeng Pungkasanti, Prind Triajeng Pulung Nurtantio Andono Purwanto Purwanto Putra, Abhinaya Putri, Maulina Rahmat Gernowo ramadhani, jovita wayan Rohman Cholil, Saifur Saifur Rohman Cholil Saputri, Anita Nur Widdia Satria Dava Riansa Sekar Sari, Mega Setiaji, Aria Siti Asmiatun, Siti Soiful Hadi Supari Supari Susanto Susanto Titin Winarti Vensy Vydia Whisnumurti Adhiwibowo Wicaksana, Dinar Anggit