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Rancang Bangun Sistem E-Arsip Berbasis Web Menggunakan Metode Design Thinking Zul Haji Nasution; Akhyar Lubis; Eko Hariyanto
INTECOMS: Journal of Information Technology and Computer Science Vol 6 No 1 (2023): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v6i1.5349

Abstract

Dalam sebuah instansi baik negeri maupun swasta mempunyai sumber informasi dalam instansi yang paling berpengaruh keberadaannya adalah bidang administrasi. Dengan kata lain setiap instansi tidak terlepas dari kegiatan suratmenyurat, karena surat mempunyai fungsi dan peranan penting dalam sarana. pencapaian tujuan dari instansi yang bersangkutan bukan hanya sebagai alat komunikasi, melainkan sebagai bukti otentik atas kegiatan yangtelah dilakukan Permasalahan yang dikaji dalam penelitian ini adalah tentang Perancangan E-Arsip Berbasis Web. Perancangan website ini dibuat bertujuan mempermudah dalam proses pengarsipan surat-surat menggunakan system yang terkomputerisasi. Sistem yang dibangun dengan menggunakan PHP dan MYsQL, serta metode yang digunakan adalah Design Thinking, yang memiliki beberapa tahapan yaitu : Empaty, Difine,Ide,Prototype,Test
Pengembangan Aplikasi Troubleshooting Jaringan Melalui Sistem Notifikasi dengan Integrasi Cacti dan Telegram Akhyar Lubis; I Iskandar; Rio Septian
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 1A (2022): Edisi Desember (Spesial Issue)
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i1A.155

Abstract

Troubleshooting merupakan pencarian sumber masalah secara sistematis sehingga masalah tersebut dapat diselesaikan. Pendekatan troubleshooting dilakukan dalam pencarian sumber masalah secara sistematis sehingga dapat segera diselesaikan. Administrator jaringan akan menindak lanjutin laporan ataupun aduan dari pengguna layanan. Penelitian ini bertujuan bagaimana permasalahan dalam jaringan dapat diketahui sedini mungkin dan diketahui di perangkat mana yang mengalami gangguan. Solusi yang dilakukan adalah dengan pengembangan dalam memonitoring perangkat jaringan dengan menggunakan bot telegram dengan metode PPDIOO. Bot dipergunakan untuk program atau robot yang dialamatkan melalui API/Interface dengan nama @sintar_bot. Implementasi penelitian yang dilakukan yaitu berdasarkan query yang dilakukan pada tabel host dengan kondisi down (1) di jadikan file text dan hasilnya di kirimkan melalui curl sebagai transfer data yang dijadwalkan melalui crontjob. Hasil notifikasi ini berhasil dikirimkan ke group telegram dan menjadi informasi penting bagi admin jaringan. Informasi yang dikirimkan melalui group telegram dapat diketahui seluruh admin jaringan sehingga permasalahan dapat diketahui sedini mungkin.
Aplikasi Sistem Notifikasi Troubleshooting Jaringan (Sintar) Berbasis Web Akhyar Lubis; Iskandar; Rio Septian Hardinata
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 3 No. 4 (2023): RESOLUSI Maret 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v3i4.571

Abstract

Troubleshooting is a systematic process of identifying the source of a problem in order to find a solution. The troubleshooting approach is carried out to systematically identify the source of the problem, and network administrators will follow up on reports or complaints from service users. This research aims to quickly identify network issues with devices experiencing disruptions. The solution is to develop a web-based application to monitor network devices. This research is implemented by querying the host table with conditions of "down" or "up," and the results are presented on the dashboard page. Monitoring is carried out based on the building zones in Building A, Building M, and Building I. The ping method is used to check the status of host devices through the Cacti server on the Raspberry Pi web server to detect network issues. The web-based Network Troubleshooting Notification System application can assist administrators in registering devices and monitoring them online, allowing them to monitor the number of devices experiencing "up" or "down" conditions.
Implementasi Layanan Akademik Berbasis Chatbot untuk Meningkatkan Interaksi Mahasiswa Akhyar Lubis; Isnar Sumartono
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 3 No. 5 (2023): RESOLUSI May 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v3i5.767

Abstract

Information and communication technology advancement has transformed the landscape of education in various academic institutions. To address the increasingly complex demands faced by students, universities need to adopt innovations to enhance the quality of services and interactions with students. One promising innovation is the use of chatbots in the context of academic services. A chatbot is an artificial intelligence-based application capable of interacting with users through a conversational interface. In this study, the implementation of a chatbot-based academic service is proposed to enhance student interactions at Panca Budi University. The needs analysis results indicate that students require direct and real-time access to interact with the educational service system. In the design of the chatbot architecture, several services in AWS, such as AWS Lambda, Amazon Lex, Amazon DynamoDB, Amazon API Gateway, Amazon CloudFront, and Amazon S3, are utilized. The implementation of the chatbot is performed through configuration in Amazon Lex and integration with Twilio. The results of the performance of the chatbot-based academic service can improve student interactions by providing quick and easy access to information.
CLOUD-BASED BIGBLUEBUTTON IMPLEMENTATION SUPPORTS VIRTUAL MEETINGS AT RRI MEDAN Muhammad Rifqi Sakti; Akhyar Lubis
TEKNOKOM Vol. 6 No. 2 (2023): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/teknokom.v6i2.158

Abstract

Virtual meetings have become an important necessity in today's digital era, especially in the midst of the COVID-19 pandemic which requires limiting physical contact. Various platforms exist to provide online meeting solutions. One platform that can be used for virtual meetings is the cloud-based BigBlueButton. This platform has been actively used in internal and external meetings, saving travel and time costs, as well as increasing work productivity and effectiveness. This research aims to implement BigBlueButton as a solution to support virtual meetings at RRI Medan. In this study, BigBlueButton is implemented using cloud infrastructure to increase system scalability and availability. Data collection methods used are direct observation, interviews, and secondary data collection. The results of the study show that the implementation of cloud-based BigBlueButton has succeeded in increasing the efficiency and flexibility of virtual meetings at RRI Medan. This study contributes to expanding understanding of the use of cloud-based BigBlueButton to support virtual meetings in the RRI Medan environment.
Design Thinking Approach in Building a Chatbot for Troubleshooting and Handling Disruption Complaints in Network Services Lubis, Akhyar; Iskandar, Iskandar; Hardinata, Rio Septian; Lubis, Syahrian
International Conference on Sciences Development and Technology The 2nd ICoSDTech 2022
Publisher : International Conference on Sciences Development and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study explores the application of the Design Thinking approach in building a chatbot for troubleshooting and handling service network disruption complaints. Specifically, the DeepDive method IDEO developed is the main framework in the chatbot creation process.DeepDive, as a methodology that focuses on a deep understanding of user needs and creative problem-solving, allows chatbot creators to design solutions that are highly suitable for unique challenges faced by users in network services. The result is a chatbot capable of effectively handling complaints and providing timely solutions.The research results show that applying IDEO's DeepDive methodology can enhance the efficiency and effectiveness of chatbots in addressing disruption complaints. This significantly contributes to improving network service quality and overall customer satisfaction. This study provides important insights for practitioners and researchers on applying Design Thinking and deep-dive methodology in creating chatbot technology.
Development of Web and Cloud Computing-Based Chatbot Services for Enhancing Academic Services at Panca Budi University Lubis, Akhyar; Sumartono, Isnar
International Conference on Sciences Development and Technology The 2nd ICoSDTech 2022
Publisher : International Conference on Sciences Development and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to develop web and cloud-computing-based chatbot services that can enhance academic services at Panca Budi University. The study highlights the importance of information and communication technology in education and the challenges universities face, such as less interactive academic services and long waiting times. The proposed solution is the development of a web and cloud-computing-based chatbot that can provide quick and accurate responses to student inquiries. Cloud computing in chatbot management also offers additional benefits, such as efficiency and continuous service availability. The research methodology employed a waterfall-based development approach, outlining the stages of chatbot development. Implementing the web-based chatbot utilized Amazon Lex services and integration with other AWS services. Testing results showed that the chatbot improved accessibility to academic information, reduced waiting times, and enhanced the quality of student interactions. The adoption of AWS cloud computing services enabled the chatbot to be accessed online 24/7. The successful development of the chatbot will help meet student needs and enhance academic services at Panca Budi University
Intervensi Terfase Model IN-ON-IN untuk Mengatasi Gap Implementasi Literasi Koding dan AI Guru SD di Sumatera Utara Akhyar Lubis; Fatma Sari Hutagalung; Riah Ukur Ginting; Mesran Mesran; Juanda Hakim Lubis; Fajrul Malik Aminullah Napitupulu
Journal of Social Responsibility Projects by Higher Education Forum Vol 6 No 3 (2026): March 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v6i3.9752

Abstract

This community service program aimed to address the gap between conceptual knowledge and practical implementation ability of elementary school (SD) teachers in coding and artificial intelligence (AI) instruction in Medan City and Deli Serdang Regency. Initial needs analysis revealed that while many teachers possessed basic familiarity with coding and AI terminology, the majority had not independently designed lesson plans incorporating coding activities nor systematically used coding platforms in classroom settings. Partner schools also faced uneven device availability and internet connectivity, alongside weak post-training support structures that hindered the transfer of learning to classroom practice. The intervention applied the IN-ON-IN model with contextual coaching: In Service Training 1 (conceptual and practical workshops using Scratch 3.0, Code.org, and Teachable Machine), On-the-Job Training (classroom implementation with field coaching and telementoring), and In Service Training 2 (reflection and consolidation). The program involved 175 elementary school teachers from both regions, implemented October 2025 through February 2026. Evaluation used an explanatory sequential mixed-methods design: pretest–posttest, classroom observation rubrics, learning artifact analysis, and in-depth interviews and focus groups. Results showed knowledge score improvement from 81% to 95% with reduced standard deviation (3.11 to 1.09), alongside qualitative findings confirming gains in lesson plan design competency and project-based coding instruction for the majority of participants. Persistent barriers included limited devices, intermittent internet access, and time constraints for lesson planning. Recommendations emphasize low-resource module development, expansion of telementoring, and cross-stakeholder collaboration to strengthen school infrastructure.