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All Journal International Journal of Electrical and Computer Engineering Proceeding International Conference on Information Technology and Business Tanra : Jurnal Desain Komunikasi Visual Fakultas Seni dan Desain Universitas Negeri Makassar Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JIM UPB (Jurnal Ilmiah Manajemen Universitas Putera Batam) JMM (Jurnal Masyarakat Mandiri) Jurnal Bisnis Darmajaya International Journal of Economics, Business and Accounting Research (IJEBAR) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Pengabdian kepada Masyarakat Nusantara Yumary: Jurnal Pengabdian kepada Masyarakat Entrepreneurship Bisnis Manajemen Akuntansi (E-BISMA) Jurnal Pengabdian Masyarakat Madani Jurnal Publika Pengabdian Masyarakat Jurnal Humanipreneur Jurnal Nusantara Mengabdi IMAGIONARY : Jurnal Seni, Desain dan Multimedia Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika PHINISI
Yan Aditiya Pratama
Institut Informatika Dan Bisnis Darmajaya
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Penguatan Kapasitas Masyarakat melalui Pelatihan Energi Surya dan Sistem Informasi Desa pada Program SERASI Yan Aditiya Pratama; Hovi Herawadi Sudibyo; Sri Lestari
Yumary: Jurnal Pengabdian kepada Masyarakat Vol 6 No 3 (2026): Maret
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/yumary.v6i3.6128

Abstract

Purpose: This community service study aims to enhance community capacity in managing eco-tourism and local economic activities through training-based technology adoption under the SERASI program in Desa Sidodadi. Research Methodology: The program was implemented in Desa Sidodadi, Pesawaran Regency, Indonesia, using a Participatory Action Research (PAR). Activities included socialization, training, mentoring, and evaluation. The main tools applied were Smart Eco-Lighting systems based on solar energy, a Village Information System website with an MSMEs e-catalog, and digital promotion platforms. Results: The results indicate improved community knowledge and practical skills in renewable energy utilization and digital management. Participants were able to operate and maintain Smart Eco-Lighting, manage village website content, and use digital media to promote eco-tourism and MSMEs products. The establishment of a local management team reflects increased community readiness and ownership. Conclusions: The results indicate that training-based community empowerment effectively supports sustainable eco-tourism and digital village development by strengthening technical, institutional, and human resource capacity, while fostering community participation, ownership, and long-term sustainability. Limitations: This study is limited by focusing on one village. Thus, it may affect the generalizability of the results to other contexts. Contributions: This study proposes a practical model for community-based training that integrates renewable energy and digital technology to support sustainable rural tourism and local economic development.
REFLEKSI ORMAWA IIB DARMAJAYA: KEARIFAN LOKAL DI KEMILING.COM Muhamad Iqbal Ardiansyah; Rizky Samjaya Putra; Ahnaf Ronaldo Nadhir; Ahmad Nur Hakim Amrullah; Elsa Agustin Marbun; Muhammad Rezky Adytama; Gusnanda Oscar; Rizki Aditya Ramadhan; Zahra Putri Assyfa; Alda Caesar Valensia; Desi Ratna Sari; Tri Melda Yama; Muhammad Sahri; Alendra Natuah Maensya; Hendra Kurniawan; Yan Aditiya Pratama
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 6 (2024): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i6.26872

Abstract

Abstrak: Pengembangan kepariwisataan berbasis teknologi digital sangat penting untuk mendukung potensi ekonomi dan pelestarian budaya di Kecamatan Kemiling, Bandarlampung. Oleh karena itu, Program Penguatan Kompetensi Organisasi Kemahasiswaan (PPK Ormawa) IIB Darmajaya bertujuan untuk meningkatkan keterampilan Digital (hardskill) dan Tata Kelola Manajemen (softskill) mitra, yaitu komunitas lokal yang terdiri dari 32 peserta Pelaku Pariwisata, UMKM, dan Pelestari Budaya. Metode yang digunakan meliputi Focus Group Discussion (FGD), pelatihan Literasi Digital dan Keamanan Siber, dan Pelatihan Tata Kelola Manajemen. Dalam mengevaluasi kegiatan ini, PPK Ormawa IIB Darmajaya menggunakan angket pre-test dan post-test, menunjukkan peningkatan skor pelatihan literasi digital dari 8.8 ke 8.9 dan pelatihan Tata Kelola Manajemen dari 8.62 ke 8.87. Program ini juga menghasilkan sistem informasi berupa website dan aplikasi mobile untuk mempromosikan potensi lokal, diharapkan dapat memperkuat ekonomi lokal serta mendukung pelestarian budaya.Abstract: The development of digital technology-based tourism is very important to support economic potential and cultural preservation in Kemiling District, Bandarlampung. Therefore, The Organizational Strengthening Program for Student Organizations (Bahasa: Program Penguatan Kompetensi Organisasi Kemahasiswaan or PPK Ormawa) IIB Darmajaya is to improve the Digital Literation skills (hard skills) and Management Governance (soft skills). This activity is local communities consisting of 32 participants (Tourism Enthusiasms, MSMEs, and Culture Enthusiasms). The methods of this activity are Focus Group Discussions (FGD), Digital Literacy and Cybersecurity training, and Management Governance Training. In evaluating this activity, PPK Ormawa IIB Darmajaya uses pre-test and post-test questionnaires. It shows an increase in digital literacy and cybersecurity training scores from 8.8 to 8.9 and Management Governance training from 8.62 to 8.87. This program also produces an information system on website and mobile application to promote local potential to strengthen the local economy and support cultural preservation.
Optimization of Sentiment Analysis of Government Regulation in Lieu of Law on Job Creation Using KNN, Random Forest, and PSO Sri Lestari; Tupari; Yan Aditiya Pratama; Suhendro
Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika Vol. 11 No. 1 (2025): April 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v11i1.3197

Abstract

Twitter is one of the social media used by the public to convey their views regarding the government's policy of issuing a Government Regulations in Lieu of Laws (Bahasa: Peraturan Pemerintah Pengganti Undang-undang (Perpu)). The public's pros and cons of this policy are material for sentiment analysis. The purpose of this study was to analyze Twitter users' opinions regarding the Job Creation Perpu using the K-Nearest Neighbors (KNN), Random Forest (RF), and Particle Swarm Optimization (PSO) methods. The data was 3.128 tweets from Twitter social media users regarding the Government Regulation in Lieu of Law on Job Creation. Based on 3.128 data, 1.599 sentiments were positive, 1.473 sentiments were negative and 53 sentiments were neutral. The results showed that PSO feature optimized Twitter social media sentiment analysis against this regulation. KNN and RF algorithms for sentiment analysis was carried out before and after optimization with PSO. Experimental results using RapidMiner 9.10 showed that PSO feature succeeded in increasing classification accuracy in both algorithms. Before optimization, the KNN accuracy value reached 80.40%, then increased significantly to 85.23% after optimization with PSO was applied. Meanwhile, Random Forest accuracy value before optimization was 77.21% and increased to 80.53% after PSO was applied. This result indicated that the PSO-based KNN algorithm had better performance in conducting sentiment analysis of the Government Regulation in Lieu of Law on Job Creation on Twitter compared to the Random Forest algorithm in the context of this study. It concluded that Random Forest algorithm based on PSO is the best classifier for sentiment analysis and a potential and effective algorithm for classifying and analyzing sentiment on the same topic.
Co-Authors Abdi Darmawan Ade Del Alvi Ade Mousadecq Ade Moussadecq Ade Moussadecq Adit, Ambar Aditya Putra Aditya Mandala Putra Ahmad Nur Hakim Amrullah Ahmad Nur Hakim Amrullah Ahnaf Ronaldo Nadhir Ahnaf Ronaldo Nadhir Alda Caesar Valensia Alda Caesar Valensia Alendra Natuah Maensya Amadeus Valentino, Gabriel amnah amnah Andini Julia Andri Winata Ardhi Khairi, Ardhi Ardi Ardi Arya Dwi Gusmantoro Aswin Aswin Aziz, RZ. Abdul Azizi, Karim Desi Ratna Sari Desi Ratna Sari Elsa Agustin Marbun Gema Tahta Anugrah Gusnanda Oscar Hendra Kurniawan Herwanto, Riko Hovi Herawadi Sudibyo Indra Budi Sumantoro Kadek Purnairawan M. Elrico Afdila Ma'ruf, M. Hasan Muhamad Idris Muhamad Iqbal Ardiansyah Muhammad Ega Ramadhan Muhammad Rezky Adytama Muhammad Sahri Muprihan thaib Niken Paramitasari Novi Herawadi Sudibyo Novita Sari Osman, Muhamad Zulkiflee Puput Ramadhani Putra, Ambar Aditya Richard Saputra Rizki Aditya Ramadhan Rizky Samjaya Putra Sri Lestari SRI LESTARI Sri Rahayu Stefanus Rumangkit Suhendro Sulyono, Sulyono Suranti, Yuli Syabilla Res Kianing Pasha Sylvia Sylvia Tri Melda Yama Tupari Wijaya, PG. Wisnu Yulmaini Yulmaini Yundari, Yundari Zahra Putri Assyfa