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Penyuluhan Produk Digital Untuk Masyarakat Untuk Meningkatkan Akses Dan Pemanfaatan Teknologi Thomas Afrizal; Han Sulaiman; Rahmatika Rahmatika; Nasrulloh Isnain
JURNAL AKADEMIK PENGABDIAN MASYARAKAT Vol. 4 No. 3 (2026): Mei
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/japm.v4i3.9817

Abstract

. The longer it goes on, the more changes occur in the rapidly evolving world of technology. Humans today are greatly facilitated by activities that are more practical and require less effort. This development occurs in almost all areas of human life, from children to adults. Digital product development can be one solution to improve community welfare. Digital products themselves can take the form of applications, platforms, or systems that can assist people in various aspects of life, such as education, health, economy, and others. However, not everyone in society necessarily knows and understands digital products themselves. Therefore, training and mentoring are needed to increase the community’s digital capacity and develop it according to their needs. Digital product development can also boost the creative economy and open up business opportunities for the community. Therefore, developing digital products can be a strategy to improve community welfare and reduce social inequality. In achieving the objectives of this activity, the implementing team used a counseling/socialization method in an event. The implementing team, acting as tutors, provided knowledge while also assisting the training participants in mastering the training material. This allowed participants to master the material while simultaneously practicing with instructor guidance. The results of this activity show that the partner group, especially the youth organization members, felt happy and helped because they were able to create whatever they focused on in developing a digital product
Pengujian Usability Pada Aplikasi Auto Reply For Messenger Menggunakan SUS Nasrulloh Isnain; Han Sulaiman; Rahmatika Rahmatika
Explorer Vol 1 No 2 (2021): Juli 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v1i2.97

Abstract

Marketplace is an important intermediary between sellers and buyers in cyberspace. Marketplace sites are third parties in online transactions. Many resellers use the site to make sales transactions. However, when we engage in online sales, there are many factors that must be considered, one of which is replying to customer chat messages. This is very important in the world of sales even required to respond quickly. The problem is that sometimes resellers have activities other than selling online, so sometimes customer messages are late in responding and even unresponsive. This study aims to determine how effective and efficient it is in handling customers using Chat Bot Messenger. The research method used is blackbox to determine the application function is running well and to evaluate the usability of the system using the System Usability Scale (SUS). The test results produce an average value of 81 which means users like the application that is used because it is able to provide convenience during sales transactions.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KARYAWAN TERBAIK DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA KPP PRATAMA PALANGKA RAYA Ihsan Hadiyansyah; Intan Mutia; Nasrulloh Isnain
Jurnal Teknologi Informasi Vol 4, No 1 (2025): Agustus 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/juti.v4i1.1070

Abstract

Tujuan dari penelitian ini untuk membangun dan mengembangkan Sistem Pendukung Keputusan Karyawan Terbaik pada KPP Pratama Palangka Raya dengana adanya SPK dengan metode SAW diharapkan dapat mempermudah kinerja perusahaan dalam penentuan karyawan terbaik. Penulis membuat kesimpulan bahwa metode Simple Additive Weighting (SAW) cocok untuk menangani perusahaan yang masih menggunakan perhitungan manual dalam penentuan karyawan terbaik.Dengan dibuatnya aplikasi sistem pendukung keputusan penentuan karyawan terbaik,diharapkan  dapat membantu dan mempermudah  dalam penentuan karyawan terbaik di lingkungan KPP Pratama Palangkaraya.Kata kunci: Penentuan Karyawan Terbaik, Sistem Pendukung Keputusan, SAW
Klasterisasi Kinerja Mobile Broadband Kabupaten/Kota di Indonesia Menggunakan Algoritma K-Means Nasrulloh Isnain; Rahmatika Rahmatika; Tri Yani Akhirina
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 5 (2026): AGUSTUS-SEPTEMBER
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/kvrp1k21

Abstract

Mobile broadband performance is an important dimension of digital connectivity because network availability does not necessarily indicate uniform service performance across regions. This study aims to analyze mobile broadband performance, determine the optimal number of clusters, classify Indonesian regencies and cities, and characterize the resulting regional groups based on average download and upload speeds. Secondary data for 2025 were obtained from the Ministry of Communication and Digital Affairs of the Republic of Indonesia. Of 511 regencies and cities in the initial dataset, 345 with complete download and upload measurements were analyzed. The data were standardized using StandardScaler and clustered using K-Means, while the optimal number of clusters was evaluated using the Elbow Method and Silhouette Score. The results identified two clusters, with the highest Silhouette Score of 0.4033 at K=2. The Higher Performance cluster comprised 149 regions (43.19%), with centroid download and upload speeds of 84.272 Mbps and 29.780 Mbps, respectively. The Lower Performance cluster comprised 196 regions (56.81%), with corresponding centroids of 57.233 Mbps and 19.914 Mbps. These findings reveal heterogeneous mobile broadband performance across the analyzed regions and provide a data-driven mapping for evaluating regional disparities in digital connectivity.