Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Applied Information System and Management Telcomatics
M. Syamsuddin Wisnubroto
Institut Teknologi Sumatera
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Languange, Linguistic, Communication & Media

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Redesigning UI/UX of A Mobile Application Using Task Centered System Design Approach Mugi Praseptiawan; Meida Cahyo Untoro; Feri Fahrianto; Pungki Resti Prabandari; M. Syamsuddin Wisnubroto
Applied Information System and Management (AISM) Vol 6, No 1 (2023): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v6i1.24665

Abstract

Digital transformation requires a software system development method to identify and analyze user needs. In this research, software system development uses the Task Centered System Design framework with several stages, including identification, needs analysis, design, and evaluation. The identification stage is carried out by conducting interviews with stakeholders, and then the results of the interviews are analyzed and approved by stakeholders. This study aims to obtain user needs to build an application interface by applying the steps of the Task Centered System Design method and usability evaluation and calculating the weight of the feasibility value by testing the Heuristics method and System Usability Scale on the solution application design. The evaluation phase aims to determine the value of the usability problem in the design that has been designed. The evaluation phase uses the Usability Heuristic method by involving experts in the field of software development and the System Usability Scale method involving end users. After conducting research from the identification to the evaluation stage, the average severity rating of the Heuristic Usability test component scored less than 1 (one) in the second iteration, and the System Usability Scale results scored 70.3 for admin and 73.75 for the customer application. This result is in grade C with an adjective rating of Good.  
Implementasi K-Means Mengelompokkan Kabupaten/Kota Berdasarkan Faktor Sosial-Ekonomi untuk Prioritas Alokasi Bantuan Sumatera Selatan 2023 Asa Do'a Uyi; Siti Nur Aarifah; Dwi Ratna Anggraeni; M. Syamsuddin Wisnubroto; Fajri Farid
Telcomatics Vol. 11 No. 1 (2026)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v11i1.11546

Abstract

Pembangunan manusia merupakan salah satu indikator utama keberhasilan pembangunan suatu daerah yang menjadi dasar perencanaan pembangunan berkelanjutan. Penelitian ini bertujuan mengelompokkan kabupaten/kota di Provinsi Sumatera Selatan berdasarkan indikator sosial-ekonomi yang membentuk Indeks Pembangunan Manusia (IPM) dengan menerapkan algoritma K-Means Clustering. Data yang digunakan berasal dari Badan Pusat Statistik (BPS) tahun 2023. Kualitas hasil klasterisasi dievaluasi melalui Davies-Bouldin Index dan Silhouette Score untuk menilai tingkat pemisahan antar klaster dan konsistensi data. Hasil analisis menunjukkan terbentuknya tiga kelompok wilayah rendah, sedang, dan tinggi dengan distribusi masing-masing 3, 13, dan 1 daerah. Temuan ini mengindikasikan masih adanya ketimpangan kualitas pembangunan manusia di Sumatera Selatan, terutama pada aspek pendidikan dan pengeluaran riil per kapita. Nilai Davies-Bouldin Index sebesar 0,9698 dan Silhouette Score sebesar 0,3313 menunjukkan bahwa hasil pengelompokan cukup baik dan dapat digunakan sebagai acuan dalam penentuan prioritas alokasi bantuan. Dengan demikian, penerapan algoritma K-Means dapat membantu pemerintah daerah dalam memetakan kondisi pembangunan manusia secara objektif dan mendukung pengambilan kebijakan yang lebih tepat sasaran.
Public Sentiment Analysis Toward the Ministry of Finance 2025 Using Recurrent Neural Network Methods Based on Data from Sosial Media X Muhammad Regi Abdi Putra Amanta; M. Syamsuddin Wisnubroto; Fajri Farid; Aditya Rahman; Sofyan Fauzi Dzaki Arif
Telcomatics Vol. 11 No. 1 (2026)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v11i1.11645

Abstract

The Ministry of Finance plays a strategic role in maintaining national economic stability through fiscal policy management, taxation, public debt administration, and state budget control. In today’s digital era, social media platforms such as X have become important channels for the public to express opinions about government policies. This study analyzes public perceptions of the Ministry of Finance’s performance using machine-learning-based sentiment analysis and identifies the most effective classification model. Data were collected from public posts on X and processed using text mining and Natural Language Processing (NLP). Three Recurrent Neural Network (RNN) models were tested: Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and an improved variant, LSTM_G. The findings show that negative sentiment dominates at 43.0%, followed by neutral at 33.9% and positive at 23.1%. Among the models, LSTM_G achieved the highest accuracy of 78.98%, indicating strong capability in capturing sequential patterns in dynamic, unstructured social media text. These results reflect substantial public concerns regarding fiscal policies and demonstrate the usefulness of sentiment analysis as a data-driven tool for decision-making and for strengthening public communication strategies to enhance the Ministry’s digital reputation.
Co-Authors Aditya Rahman Asa Do'a Uyi Dwi Ratna Anggraeni Fajri Farid Feri Fahrianto Irawati, Febri Dwi Muhammad Regi Abdi Putra Amanta Praseptiawan, Mugi Pungki Resti Prabandari S. Marsudi Siti Nur Aarifah Sofyan Fauzi Dzaki Arif Untoro, Meida Cahyo