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All Journal Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Pengabdian kepada Masyarakat Nusantara Brilliance: Research of Artificial Intelligence Jurnal Sistem Informasi Galuh JUTEKOM - Jurnal Teknologi dan Ilmu Komputer
Sudinugraha, Tri
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Social Sciences Other

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Analisis dan Visualisasi Data Penjualan Menggunakan Tableau untuk Mendukung Keputusan Strategis (Studi Kasus: PT Aspirasi Hidup Indonesia Tbk) Indah Rizki, Elvina; Anastasya Safitri, Adinda; Servanda, Yustian; Sudinugraha, Tri
Jurnal Sistem Informasi Galuh Vol 3 No 2 (2025): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v3i2.4996

Abstract

This research aims to analyze and visualize sales data using Tableau as a Business Intelligence tool to support strategic decision-making at PT Aspirasi Hidup Indonesia Tbk. The background of this study lies in the increasing need for effective data visualization to interpret complex sales information. A descriptive quantitative method was employed using secondary data from the company’s 2023 annual report and simulated sales transaction data. The data were visualized in Tableau through three main dashboards: monthly sales and profit trends, product category performance, and customer segment analysis. Results show that the Lifestyle product category and Corporate customer segment contributed the highest sales and profits. February and September were identified as the most profitable months. The use of Tableau enabled efficient data interpretation and quick decision-making insights. This study highlights the significance of visual-based analytics in improving corporate strategy, and suggests further research using larger datasets and predictive models for broader analysis.
Analysis of Hybrid Learning Model Interest Selection for students using the Multi-Attribute Utility Theory Method Case Study: Mulia University Alimyaningtias, Wahyu Nur; Saputra, Risdin; Prayogo, Ari; Sudinugraha, Tri
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3069

Abstract

Hybrid learning is a learning method that combines or combines online learning with face-to-face learning (PTM). so that in its implementation, there are times when students and teaching staff meet face to face in class. However, in its implementation there are several obstacles, one of which is the number of students attending class and decreasing interest in learning, resulting in a poor final semester assessment. In connection with the problems faced, this research will try to measure interest in the hybrid learning model that has been implemented at Mulia University using the Multi-Attribute Utility Theory method, where this method is a decision-making method used to evaluate alternatives by considering several attributes. relevant and selecting the alternative that best meets the needs and preferences of the decision maker.
Pelatihan Pemrograman Flutter untuk Pengembangan Aplikasi Android bagi Guru TIK Kota Samarinda Prayogo, M. Ari; Insan Prayitno, Pramudya Prima; Sudinugraha, Tri; Romisa, Fahmi; Akhyar, Ramaulvi Muhammad; Always, Arya; Lestari, Feni Puji
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 1.1 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) SPECIAL ISSUE
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i1.1.5088

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi guru Teknologi Informasi dan Komunikasi (TIK) di Kota Samarinda dalam penguasaan teknologi pengembangan aplikasi berbasis Flutter menggunakan bahasa pemrograman Dart. Pelatihan ini dirancang untuk memberikan pemahaman dasar hingga keterampilan praktis dalam mengembangkan aplikasi Android dan iOS yang sederhana dan interaktif. Metode pelatihan meliputi tahap persiapan, pelaksanaan, dan evaluasi. Pelaksanaan pelatihan dilakukan selama satu hari tepatnya hari sabtu tanggal 30 November 2024 dan dimulai dengan pengenalan framework Flutter, dasar bahasa pemrograman Dart, hingga pengembangan aplikasi sederhana dengan elemen visual dan logika dasar menggunakan widget Flutter. Hasil kegiatan menunjukkan peningkatan pemahaman peserta terhadap pemrograman Flutter, dengan 85% peserta berhasil mengembangkan aplikasi sederhana seperti kalkulator atau daftar tugas (to-do list). Peserta juga memberikan tanggapan positif terhadap materi yang mudah dipahami dan relevan dengan kebutuhan pembelajaran modern. Pelatihan ini mampu memberikan dampak positif pada inovasi pembelajaran berbasis teknologi, serta meningkatkan kualitas pendidikan di Kota Samarinda.
Network Forensics Against Address Resolution Protocol Spoofing Attacks Using Trigger, Acquire, Analysis, Report, Action Method Wijayanto, Agus; Riadi, Imam; Prayudi, Yudi; Sudinugraha, Tri
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 8 No 2 (2022): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v8i2.2953

Abstract

This study aims to obtain attack evidence and reconstruct commonly used address resolution protocol attacks as a first step to launch a moderately malicious attack. MiTM and DoS are the initiations of ARP spoofing attacks that are used as a follow-up attack from ARP spoofing. The impact is quite severe, ranging from data theft and denial of service to crippling network infrastructure systems. In this study, data collection was conducted by launching an test attack against a real network infrastructure involving 27 computers, one router, and four switches. This study uses a Mikrotik router by building a firewall to generate log files and uses the Tazmen Sniffer Protocol, which is sent to a syslog-ng computer in a different virtual domain in a local area network. The Trigger, Acquire, Analysis, Report, Action method is used in network forensic investigations by utilising Wireshark and network miners to analyze network traffic during attacks. The results of this network forensics obtain evidence that there have been eight attacks with detailed information on when there was an attack on the media access control address and internet protocol address, both from the attacker and the victim. However, attacks carried out with the KickThemOut tool can provide further information about the attacker’s details through a number of settings, in particular using the Gratuitous ARP and ICMP protocols.
ANALISIS DESAIN UI/UX WEBSITE SAMSAT KALIMANTAN TIMUR DENGAN METODE DESIGN THINKING Janatu, Asfi; Nandyu, Warhana; Servanda, Yustian; Sudinugraha, Tri
Jurnal Teknologi informasi dan Ilmu Komputer Vol. 2 No. 1 (2026): Januari 2026
Publisher : Nolsatu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65258/jutekom.v2.i1.36

Abstract

The East Kalimantan SAMSAT (Sistem Administrasi Manunggal Satu Atap) website serves as a crucial digital public service for motor vehicle tax payments and related services. However, suboptimal user experience (UX) and user interface (UI) often hinder accessibility and public satisfaction. This study primarily aims to analyze and identify UI/UX design constraints on the East Kalimantan SAMSAT platform, and to provide recommendations for improvements based on user perspectives. The applied method is Design Thinking, which includes five stages: Empathize, Define, Ideate, Prototype, and Test. The initial stage focused on data collection through observation, in-depth user interviews, and heuristic evaluation to uncover user needs and pain points. The analysis findings revealed issues such as complex navigation, inconsistencies in visual design, and lack of explicit information, all of which significantly increased user cognitive load. Based on these results, the study proposes specific design recommendations in the form of wireframe and mockup improvements. These recommendations focus on simplifying the user flow, increasing the consistency of UI elements, and developing a more intuitive search feature. This design proposal is expected to boost the effectiveness, efficiency, and user satisfaction of online SAMSAT services. These design recommendations were then validated during the testing phase through usability testing. Test results showed significant improvements in key metrics: the average task success rate increased to 90% and the task completion time decreased by 40%. These findings demonstrate that the systematic application of human-centered design is effective in bridging the gap between user needs and the quality of digital public services at the East Kalimantan SAMSAT.
PERBANDINGAN ALGORITMA AI UNTUK SISTEM PENDUKUNG KEPUTUSAN PENJADWALAN BONGAKR MUAT BARANG DI PELABUHAN SEMAYANG BALIKPAPAN Janatu, Asfi; Karangan, Reygina; Servanda, Yustian; Sudinugraha, Tri
Jurnal Sistem Informasi Galuh Vol 4 No 1 (2026): Journal of Galuh Information Systems
Publisher : Fakultas Teknik Jurusan Sistem Informasi Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jsig.v4i1.5104

Abstract

Optimizing loading and unloading scheduling at Semayang Port, Balikpapan, is a complex challenge that requires an artificial intelligence approach. This study compares the effectiveness of the Genetic Algorithm (GA) and Neural Network (NN) as decision support systems in minimizing dwell time and improving operational efficiency. The research data covers the period 2020–2023, including ship arrival times, cargo types and volumes, equipment availability, and external factors such as weather and tides. GA is implemented using a chromosomal representation based on ship priority and fitness functions to optimize dwell time and dock utilization. NN employs a Long Short-Term Memory (LSTM) architecture to process port time-series data. The evaluation of three scenarios—peak, normal, and low seasons—shows that GA reduces dwell time by 22.3% compared to conventional methods, while NN predicts potential delays with an accuracy of 87.2%. GA performs best in static scheduling, while NN is effective in handling dynamic uncertainties. The hybrid GA-NN solution provides a balance between performance and complexity, with the potential to reduce operational costs by up to IDR 1.2 billion per year. This study presents a framework for the comparative evaluation of AI algorithms in port logistics and offers practical recommendations for optimizing operations at Semayang Port.
Co-Authors Agus Wijayanto Akhyar, Ramaulvi Muhammad Alimyaningtias, Wahyu Nur Always, Arya Anastasya Safitri, Adinda Ari Prayogo Imam Riadi Indah Rizki, Elvina Insan Prayitno, Pramudya Prima Janatu, Asfi Karangan, Reygina Lestari, Feni Puji M. Ari Prayogo Nandyu, Warhana Romisa, Fahmi Saputra, Risdin Yudi prayudi Yustian Servanda, Yustian