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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jatilima : Jurnal Multimedia Dan Teknologi Informasi Informatics and Enginering Dedication Jurnal Teknologi Sistem Informasi Buletin Sistem Informasi dan Teknologi Islam Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Digital Transformation Technology (Digitech) Buletin Ilmiah Informatika Teknologi MDP Student Conference El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal Riset Teknik Komputer Jurnal Riset Sistem Informasi Jurnal Sistem Informasi, Manajemen dan Teknologi Informasi MURAKOM
Dorie P. Kesuma
Universitas Multi Data Palembang
Religion Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Other

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ANALISIS PERKEMBANGAN ARTIFICIAL INTELLIGENCE DALAM SISTEM KESELAMATAN AKTIF KENDARAAN OTOMOTIF DI ERA MODERN Nicholas Nicholas; Nico Saputra; Dorie P. Kesuma
Jurnal Riset Sistem Informasi Vol. 3 No. 3 (2026): Juli : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/0xhvtr51

Abstract

The rapid development of Artificial Intelligence (AI) has significantly transformed the automotive industry, particularly in active vehicle safety systems. AI enables vehicles to perceive their environment, make decisions in real time, predict risks, and adapt safety features according to driver characteristics. This study aims to analyze the development of AI in active automotive safety systems, identify its primary roles, evaluate its impact on accident prevention, and examine the implementation challenges from technical, regulatory, and ethical perspectives. This research employs a qualitative descriptive approach using a literature review method. Data were collected from scientific journals, conference proceedings, international standards, dissertations, and preprint repositories related to AI-based automotive safety technologies. The findings indicate that AI has evolved from simple object detection systems into advanced technologies capable of driver cognitive state inference, predictive safety analysis, and autonomous decision-making. AI-based systems such as Automatic Emergency Braking (AEB), Adaptive Cruise Control (ACC), and Driver Monitoring Systems (DMS) have demonstrated significant contributions to reducing accident risks and injury severity. However, challenges remain regarding adverse weather conditions, mixed traffic environments, model uncertainty, certification frameworks, and ethical accountability. The study concludes that AI has substantial potential to improve road safety, but successful implementation requires robust technical development, adaptive regulations, and comprehensive safety assurance mechanisms.
Rancang Bangun Sistem Informasi Penjualan dengan Pendekatan RUP pada Supplier XYZ Angelin Agustin; Dorie P. Kesuma
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 07 (2026): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i07.2355

Abstract

Penelitian ini bertujuan untuk mempermudah proses operasional secara komputerisasi dalam pemantauan pembayaran kredit pelanggan, mengelola stok, otomatisasi pencatatan transaksi penjualan, pengiriman barang mencakup laporan untuk memberikan informasi secara aktual dalam mempercepat proses yang terjadi sehingga mencegah dampak kerugian. Platform pengembangan sistem berbasis web menggunakan penerapan metodologi RUP dengan pendekatan PIECES disertai framework Laravel. Hasil Pengujian sistem menerapkan teknik Black Box Testing memberikan hasil valid dan pengujian UAT dengan perolehan 85.25% mengindikasikan bahwa sistem dapat membantu dalam pengelolaan sehari-hari pada supplier XYZ
Pipeline ETL Big Data sebagai Solusi Integrasi Data Perguruan Tinggi dengan Evaluasi Validitas Otomatis Iis Pradesan; Dorie Pandora Kesuma
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 5 No. 2 (2026): EDISI MARET 2026
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v5i2.12504

Abstract

Data akademik di perguruan tinggi, seperti mahasiswa, dosen, mata kuliah, kelas, dan nilai, tersebar di berbagai sumber heterogen, sehingga menimbulkan tantangan besar pada integrasi, dan standar validitas data. Kondisi ini berpotensi menghambat pelaporan, akreditasi, maupun pengambilan keputusan strategis berbasis data. Penelitian ini bertujuan merancang dan mengimplementasikan pipeline Extract, Transform, Load (ETL) berbasis big data untuk mengatasi permasalahan tersebut. Metode penelitian meliputi studi pendahuluan, pengumpulan data, pemetaan rule validasi, dan implementasi pipeline menggunakan Apache NiFi serta Hadoop Distributed File System (HDFS). Hasil implementasi menunjukkan pipeline mampu mengekstrak data multi-sumber secara otomatis, menerapkan validasi berbasis aturan (length, nullable, reference, min-max), dan memuat data tervalidasi ke cluster HDFS dengan high availability dan fault tolerance. Uji coba menemukan sekitar 8% data error berhasil diisolasi, sementara tingkat validitas data pada entitas utama mencapai lebih dari 90%. Kontribusi penelitian ini terletak pada integrasi multi sumber data akademik, penerapan standar, mekanisme otomatis penanganan data invalid, serta pemanfaatan HDFS sebagai penyimpanan terdistribusi. Pipeline yang dihasilkan dapat menjadi blueprint praktis untuk perguruan tinggi di Indonesia dalam mengukur kualitas data dan mendukung tata kelola berbasis big data.
ANALISIS IMPLEMENTASI ENTERPRISE RESOURCE PLANNING (ERP) DALAM MENINGKATKAN EFISIENSI PENGELOLAAN KEUANGAN PERUSAHAAN Obert Sean; Alfin Alfin; Steven Lim; Dorie P. Kesuma
Jurnal Riset Teknik Komputer Vol. 3 No. 2 (2026): Juni : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/facs4k45

Abstract

This study aims to evaluate the impact of Enterprise Resource Planning (ERP) implementation on the effectiveness of financial management in companies. The research uses a qualitative approach through a literature study by collecting secondary data from journals, books, and previous studies. The variables examined include ERP implementation and financial management effectiveness, with indicators such as process speed, data accuracy, system integration, and ease of information access. The results indicate that ERP implementation has a positive impact on the effectiveness of financial management, including faster financial reporting processes, reduced recording errors, and easier real-time access to information. In addition, ERP supports better integration and collaboration among company divisions. However, ERP implementation also faces several challenges, such as high investment costs, system complexity, and the need for user training. This study is expected to serve as a reference for understanding the benefits and challenges of implementing ERP in corporate financial management.
IMPLEMENTASI IoT DAN SENSOR CERDAS PADA MOBIL LISTRIK UNTUK MENINGKATKAN EFISIENSI ENERGI Meilisa Apriyani; Nelson Marcelino; Dorie P. Kesuma
Jurnal Riset Teknik Komputer Vol. 3 No. 2 (2026): Juni : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/dwer6c02

Abstract

The rapid development of electric vehicles has encouraged the integration of Internet of Things (IoT) technology and intelligent sensor systems to improve energy efficiency, driving safety, and real-time monitoring capabilities. This study aims to analyze the implementation of IoT and smart sensors in electric vehicles as part of smart transportation systems. The research method used is a qualitative approach through literature review by collecting data from scientific journals, conference proceedings, and recent publications related to electric vehicles, IoT systems, and automotive sensors. The results show that IoT integration in electric vehicles enables real-time monitoring of battery conditions, energy consumption, vehicle location, temperature stability, and driver behavior. In addition, the use of sensors such as ultrasonic sensors, temperature sensors, GPS modules, LiDAR, and battery management sensors significantly improves operational efficiency and driving safety. However, challenges remain in terms of cybersecurity, infrastructure readiness, implementation costs, and data integration complexity. This research is expected to contribute to the development of smart electric transportation systems that are more efficient, safe, and sustainable in the future.
ANALISIS PENGEMBANGAN SISTEM ANTRIAN ONLINE BERBASIS WEB UNTUK MENINGKATKAN EFISIENSI PELAYANAN DENGAN WEBTREE PADA KLINIK KECANTIKAN Nathalia Margaretha; Jenny Christine; Dorie P. Kesuma
Jurnal Riset Teknik Komputer Vol. 3 No. 2 (2026): Juni : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/q9sqhn77

Abstract

The development of information technology has a significant impact on the improvement of service quality the quality of services in various fields, including health and beauty service. Beauty clinics, as one of the service facilities that continue to develop, require an effective and efficient service system to address queue problems that are still managed manually. Manual queuing systems result in long waiting times, disorderly queue management, and the accumulation of customers in the waiting room. This study aims to analyze the development of a web-based online queuing system with the application of a web tree structure to improve service efficiency at beauty clinics. The research method used is qualitative research with a literature study approach through data collection from scientific journals, books, and articles related to developing technology, online queuing systems, websites, and web trees. Research results show that a web-based online queue system is able to improve service efficiency, provide real-time queue information, reduce waiting room congestion, and increase customer satisfaction. The implementation of a web tree also helps in organizing the system's navigation structure to be more organized and easy to use. Thus, a web-based online queue system supported by a web tree becomes an effective emerging developing technological solution in improving service quality at beauty clinics.
ANALISIS PERKEMBANGAN E-WALLET DAN PERAN TEKNOLOGI BLOCKCHAIN DALAM SISTEM PEMBAYARAN DIGITAL DI INDONESIA Merisa Natalia; Natasya Priscilla; Dorie P. Kesuma
Jurnal Riset Teknik Komputer Vol. 3 No. 2 (2026): Juni : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/5331he49

Abstract

This study analyzes the development of e-wallet and the role of blockchain technology in digital payment systems in Indonesia. The rapid advancement of digital technology and the increasing internet penetration have encouraged the transformation of financial transactions from cash-based systems to digital payments. E-wallet services have become increasingly popular due to their practicality, speed, and efficiency in supporting daily transactions. However, the growth of digital payment systems also raises various security challenges, such as data breaches, fraud, and transaction manipulation. Therefore, blockchain technology emerges as an innovative solution that offers decentralization, transparency, and high security through immutable transaction records and distributed ledger systems. This research uses a descriptive qualitative method with a literature study approach by analyzing journals, reports, and related scientific references regarding e-wallet, fintech, and blockchain implementation in Indonesia. The results of the study indicate that blockchain implementation has a positive impact on improving transaction security, transparency, efficiency, and trust in digital payment systems. Blockchain technology can reduce fraud risks, accelerate transaction processes, minimize operational costs, and support the development of a more secure and efficient digital financial ecosystem. However, several challenges remain, including regulatory readiness, infrastructure limitations, implementation costs, and low levels of digital literacy. Therefore, collaboration between the government, fintech companies, and society is necessary to optimize blockchain implementation in Indonesia’s digital payment systems.
PEMANFAATAN LARGE LANGUAGE MODEL (LLM) SEBAGAI ASISTEN PEMBELAJARAN DIGITAL DALAM MENINGKATKAN EFEKTIVITAS PROSES BELAJAR MAHASISWA Sharon Jadelyn Villian Johan; Mayang Sari Nr; Anita Anita; Dorie P. Kesuma
Jurnal Riset Teknik Komputer Vol. 3 No. 2 (2026): Juni : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/b429t708

Abstract

The development of Artificial Intelligence (AI) technology has significantly impacted various sectors, including education. One of the most rapidly advancing innovations is the Large Language Model (LLM), an AI-based language model capable of understanding and generating natural language text. This study aims to examine how Large Language Models can be utilized as digital learning assistants to support the teaching and learning process. The research method employed is a literature review by reading and analyzing various scientific journals, books, research reports, and relevant academic publications from the last five years. The analysis was conducted to identify the benefits, opportunities, challenges, and implications of using Large Language Models in the field of education. The findings indicate that Large Language Models can assist students in understanding learning materials, obtaining information quickly, supporting self-directed learning, and enhancing interaction in the learning process. On the other hand, the use of Large Language Models also presents several challenges, such as information accuracy, potential user dependency, and academic ethics issues. Based on the findings, Large Language Models have significant potential as digital learning assistants that can improve learning effectiveness when used wisely and supported by adequate digital literacy.
IMPLEMENTASI INTERNET OF THINGS PADA SMARTWATCH DALAM MENDUKUNG AKTIVITAS KEHIDUPAN SEHARI-HARI Kelvin Fernando; Adrianus Bagas P.Y.U; Dorie P. Kesuma
Jurnal Riset Teknik Komputer Vol. 3 No. 2 (2026): Juni : Jurnal Riset Teknik Komputer (JURTIKOM)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/63beeb36

Abstract

The current development of modern wearable technology has brought forth various crucial innovations, one of which is the smartwatch that utilizes the integration system of the Internet of Things (IoT). A smartwatch is a smart device that functions not only as a conventional timekeeper but also possesses various advanced features such as message notifications, health monitoring, activity tracking, and wireless connectivity with smartphones. This study aims to analyze the development of smartwatch technology, its primary features, and its impact on the efficiency of daily life activities.   The research method used is a literature study with a qualitative descriptive approach, namely by collecting data from relevant journals, books, and scientific articles. The results indicate that smartwatches are developing rapidly alongside technological advancements such as IoT and Artificial Intelligence (AI). These devices provide numerous tangible benefits, particularly in aspects of self-health monitoring, seamless communication, and optimization of user productivity. However, on the other hand, the implementation of this technology also brings negative impacts such as an increase in electronic waste (e-waste), high battery energy consumption, as well as the risk of technology dependency and data privacy vulnerability issues. In conclusion, IoT-based smartwatches represent a technology that contributes significantly to the modern lifestyle ecosystem. Therefore, their utilization needs to be carried out wisely through an increased understanding of data privacy security risks as well as device screen time management so that the benefits obtained can be more optimal and sustainable.
Rancang Bangun Aplikasi Penjualanan Online Berbasis Web Pada Apotek Maggha Mulia Palembang Andrean Tjen; Dorie P. Kesuma
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 15, No 3 (2026): Juni 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i3.3716

Abstract

The management of sales transactions and drug inventory at Maggha Mulia Pharmacy Palembang is still performed manually, resulting in inefficient data processing and reporting with a high risk of recording errors. This study aims to develop a web-based sales information system integrating online and offline sales with computerized stock management. The development method used is the System Development Life Cycle (SDLC) with the Waterfall model. The system design applies Use Case Diagram, Data Flow Diagram (DFD), and Entity Relationship Diagram (ERD). The system was developed using Visual Studio Code and XAMPP with features for product management, transactions, stock management, sales reports, and online ordering. Black Box Testing results indicate that all system features function according to requirements, enabling the system to improve data management effectiveness and service quality.Keywords: Sales Information System; Drug Inventory; Waterfall; Online Sales; Black Box TestingAbstrakProses pengelolaan transaksi penjualan dan persediaan obat pada Apotek Maggha Mulia Palembang masih dilakukan secara manual sehingga pengolahan data dan pembuatan laporan kurang efisien serta berisiko menimbulkan kesalahan pencatatan. Penelitian ini bertujuan mengembangkan sistem informasi penjualan berbasis web yang mengintegrasikan penjualan online dan offline dengan pengelolaan stok terkomputerisasi. Metode pengembangan yang digunakan adalah System Development Life Cycle (SDLC) model Waterfall. Perancangan sistem menggunakan Use Case Diagram, Data Flow Diagram (DFD), dan Entity Relationship Diagram (ERD). Sistem dikembangkan menggunakan Visual Studio Code dan XAMPP dengan fitur pengelolaan produk, transaksi, stok, laporan penjualan, dan pemesanan online. Hasil Black Box Testing menunjukkan seluruh fitur berjalan sesuai kebutuhan sehingga sistem dapat meningkatkan efektivitas pengelolaan data dan kualitas pelayanan. 
Co-Authors Adrianus Bagas P.Y.U Agnes Monica Ahmad Wildan, M Alfin Alfin Amelia Fransen, Lisa Andrean Tjen Angelin Agustin Anggoro Aryo Pramuditho Anisya Dwi Rizkadiyanti Anita Anita Budiman, Jessica Valencia Putri Calista Silvia Jaya Chriestina, Chriestina Dafid Dafid . Dafid Dafid Daniel Mido Setiawan Darriel Dapples Diaz, Sebastianus Ristyawijaya Dien Novita Felix Felix Felix Irwanto, Christian Iis Pradesan Jenny Christine Kelvin Fernando Lie, Nelsen Lisa Amelia Fransen Mayang Sari Nr Meilisa Apriyani Merisa Natalia Michella Valery Natasya Priscilla Nathalia Margaretha Nelson Marcelino Nicholas Nicholas Nico Saputra Niko Ananda Limanto Nyoman Adi Adnyana Obert Sean Octavianus Chandra Putri, Gabriela Calista Vania Rika Kharlina Ekawati Rika Kharlina Ekawati, Rika Kharlina Saputera, Ericson Sharon Jadelyn Villian Johan Shella Marcelia Solihan, M Wildan Steven Lim Vicinsky Owen Tanner Vionetha Lavega Vivian Vivian Wahyuni, Syifa Wang, Cyndi Claudia William Han’s Yohanes Dwi Prakosa Yulistia Yulistia