Garuda - Garba Rujukan Digital

Web-Based Complaints Service Information System at Dewantara District Office Amrina, Amrina; Aslam, Aslam; Islam, Khoirul; Sutapa, I Ketut; Kurniawansyah, Kurniawansyah; Abdullah, Dahlan; Ardian, Zalfie
International Journal of Engineering, Science and Information Technology Vol 4, No 1 (2024)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v4i1.490

The Complaint Service Information System is a web-based platform designed for the Dewantara District Office. The title Complaint Service Information System is based on the need for technological solutions to improve the quality of public services, especially in handling public complaints. This system was chosen because it facilitates more efficient complaint reporting, increases transparency, and speeds up responses to issues raised by the public. By applying information technology in handling complaints, it is hoped that we can create a public service environment that is more responsive, open and adaptive to the ever-growing needs of society. The process of creating a complaint service information system involves several main stages. First, the needs analysis stage is carried out to identify and understand the needs of users and related parties in handling complaints. This involves a survey and analysis of associated documents. Next, the system design and design stage involves database structure, user interface, and business logic. This Information System design process involves critical steps to ensure the success and effectiveness of the system, including coding, creating a user interface, and setting up a database. The results of designing the Complaint Service Information System include a simple and responsive user interface, an online complaint form, a status tracking system, and analytical reports. A structured and secure database stores, manages, and retrieves complaint data. Afterwards, the implementation phase involves running the entire system and, if necessary, data migration. Through the creation of this Information System, it is hoped to evaluate the impact of the level of accessibility and ease of navigation in the system on employee performance in searching, monitoring and managing incoming complaints. With a web-based approach, this system provides easy, fast access for users from various locations and increases transparency in managing services provided to the community.

Implementing Preference Selection Index for Optimal Employee Ranking in Organizational Decision-Making Wijanarko, Rony; Nugroho, Fifto; Islam, Khoirul
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4387

The rapid development of information technology has affected various aspects of life, including in the world of work. This research aims to apply the Preference Selection Index (PSI) method in determining the best employees at Bina Karya Utama Company. The assessment is based on four main criteria: Attendance, Tardiness, Overtime, and Length of Service. Data is obtained through observation and interviews, then processed using the PSI method which involves the normalization process and the calculation of preference values. The results showed that employees with alternative code A8 obtained the highest score, followed by A5 and A9. The PSI method proved to be effective in helping companies make objective and fair decisions, as well as motivating employees to improve their performance. This research concludes that a PSI-based decision support system can improve transparency and fairness in employee evaluation at Bina Karya Utama Company.

Optimization of Distance Learning Systems Using Artificial Intelligence and the Internet of Things in Improving the Quality of Education in the Post-Pandemic Era Yahya, Saifudin; Islam, Khoirul; Nashihin, Durrotun
Journal of Multidisciplinary Science: MIKAILALSYS Vol 2 No 3 (2024): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v2i3.3953

The COVID-19 pandemic forced a sudden change from face-to-face learning to Distance Learning (PJJ), posing challenges in the quality of learning and student interaction. This study examines the application of Artificial Intelligence (AI) and the Internet of Things (IoT) to optimize the PJJ system in the post-pandemic era. The goal is to evaluate the impact of AI in personalizing learning and IoT in improving student interactivity and collaboration, as well as identify the challenges of implementing this technology. The research uses a mixed-methods approach by combining qualitative and quantitative analysis. Data were obtained from 50 educators, 100 students, and 20 administrators through questionnaires, in-depth interviews, and participatory observations. Correlation tests and logistic regression are used to assess the influence of AI and IoT on learning quality. The results show that 85% of students and 78% of educators agree that AI helps in customizing learning materials. IoT also increases student engagement, with 76% of students feeling more engaged and the likelihood of student engagement increasing 2.35 times greater with IoT. Key challenges include limited technological infrastructure and lack of training for educators. In conclusion, AI and IoT have great potential in improving the quality of education, but support is needed for infrastructure and educator training so that the implementation of these technologies is optimal.

Peningkatan Promosi Desa Wisata Soco Melalui Digitalisasi Objek Wisata dan Edukasi Komunitas Sisephaputra, Bonda; Suroni, Azis; Islam, Khoirul; Yahya, Saifudin; Nashihin, Durrotun; Al Rosyid, Harun; Orvala, Fathan; Putra, Dicky Sanjaya; Pratama, Tora Rizal
Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2025): November 2025
Publisher : Cipta Media Harmoni

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53624/kontribusi.v6i1.747

Latar Belakang: Promosi desa wisata berbasis digital merupakan strategi penting dalam mengembangkan potensi lokal dan memperluas jangkauan wisatawan. Namun, banyak desa, termasuk Desa Soco di Kabupaten Magetan, belum memanfaatkan teknologi secara optimal. Rendahnya literasi digital masyarakat menjadi kendala utama dalam promosi mandiri. Tujuan: Mengetahui sejauh mana digitalisasi objek wisata dan edukasi komunitas dapat meningkatkan kapasitas promosi wisata di Desa Soco. Metode: Menggunakan pendekatan kualitatif deskriptif dalam bentuk studi kasus. Data dikumpulkan melalui observasi, wawancara, dokumentasi, dan evaluasi pelatihan partisipatif. Hasil: Pelatihan fotografi, videografi, editing video, pengelolaan website, dan media sosial meningkatkan pemahaman peserta terhadap strategi promosi digital. Media berupa video profil, website, dan kanal YouTube disajikan sebagai model pengelolaan konten. Peserta menunjukkan motivasi dan kesiapan mengelola media digital secara mandiri. Kesimpulan: Digitalisasi objek wisata yang disertai pelatihan teknis efektif meningkatkan kapasitas promosi desa wisata. Pendampingan lanjutan dibutuhkan untuk pengembangan konten yang berkelanjutan.

Implementing Preference Selection Index for Optimal Employee Ranking in Organizational Decision-Making Wijanarko, Rony; Nugroho, Fifto; Islam, Khoirul
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4387

The rapid development of information technology has affected various aspects of life, including in the world of work. This research aims to apply the Preference Selection Index (PSI) method in determining the best employees at Bina Karya Utama Company. The assessment is based on four main criteria: Attendance, Tardiness, Overtime, and Length of Service. Data is obtained through observation and interviews, then processed using the PSI method which involves the normalization process and the calculation of preference values. The results showed that employees with alternative code A8 obtained the highest score, followed by A5 and A9. The PSI method proved to be effective in helping companies make objective and fair decisions, as well as motivating employees to improve their performance. This research concludes that a PSI-based decision support system can improve transparency and fairness in employee evaluation at Bina Karya Utama Company.

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