JITSI : Jurnal Ilmiah Teknologi Sistem Informasi

Penerapan Metode AHP dan PROMETHEE untuk Rekomendasi Smartphone Berdasarkan Kebutuhan Pembeli

Ary Santri Yuanda, Muhammad Dedi Irawan — Tue, 31 Mar 2026 00:00:00 +0100

Perkembangan teknologi membuat smartphone menjadi kebutuhan utama bagi banyak orang. Di Raja Ponsel Medan, pembeli sering kesulitan memilih smartphone di tengah beragamnya spesifikasi dan harga. Tujuan penelitian ini yaitu untuk membangun Sistem Pendukung Keputusan (SPK) agar pembeli dapat memilih smartphone dengan cara yang objektif dan mudah. Dengan menggunakan kuesioner yang membandingkan kriteria, metode AHP digunakan untuk menentukan nilai bobot pada spesifikasi utama (prosesor, RAM, memori, baterai, kamera, dan harga). Bobot tersebut kemudian digunakan oleh metode PROMETHEE untuk melakukan perangkingan alternatif. Penelitian ini menerapkan pendekatan kuantitatif dengan metode pengembangan waterfall. Sistem yang dibangun dapat memberikan hasil rekomendasi yang objektif dan akurat. Berdasarkan perhitungan, smartphone Tecno Camon 40 8/256 menjadi pilihan terbaik dengan nilai net flow 0,057144.

MBG's Advanced Analytics-Based Sustainable Sourcing Strategy: PESTLE Analysis and Supply Chain

Briyan Gifari, Nabiel Muhammad Al Ghazali, Abdullah Fajar — Tue, 31 Mar 2026 00:00:00 +0100

The Free Nutritious Meal Program (MBG) is a national strategic initiative facing complex challenges in balancing supply security and environmental sustainability. This study aims to implement an Advanced Analytics framework to evaluate supplier performance based on the Triple Bottom Line principle. Using real logistics datasets for strategic commodities (Rice and Soybeans), this study applies the Weighted Scoring Model algorithm with parameters of logistics efficiency (40%), environmental impact (30%), and volume security (30%). The analysis of the supply chain shows a total carbon footprint (Scope 3) of 112.11 tons of CO2 with an average distribution distance of 297 KM. The model successfully identified the best "Green Suppliers," with the Pelalawan–Siak route recording the highest sustainability score (0.89) due to the balance of volume and distance. This study recommends the adoption of a data-driven scoring system to mitigate carbon emissions in the MBG supply chain.

Layanan Internet Service Provider dengan GNS3 Menggunakan Mikrotik dan Debian pada Jaringan Dual ISP

Amalia Yos Andra, Hanriyawan Adnan Mooduto, Fanni Sukma, Hidra Amnur — Tue, 31 Mar 2026 00:00:00 +0100

An Internet Service Provider (ISP) is a service that provides internet access to users, and in the digital era, the need for stable, secure, and easy-to-manage connectivity is increasing. This study aims to design and implement a simulation-based ISP service using GNS3 with Mikrotik and Debian devices on a dual ISP network. The focus of the research includes the implementation of the OSPF routing protocol for inter-router connectivity, load balancing and failover configurations to maintain network stability, the implementation of PPPoE and Hotspot as user authentication integrated with the Radius server, and the use of a Discord Bot on a Debian server for real-time network monitoring. The results of the study indicate that the dual ISP system is capable of performing load balancing and failover well, PPPoE and Hotspot services can be used for user authentication, and network monitoring via the Discord Bot runs according to its function. The conclusion of this study shows that a GNS3-based design with Mikrotik and Debian can be an effective simulation solution to support ISP service availability, optimize user management, and improve network monitoring system

Robust Person Identification with Channel Attention and Multi-Scale Feature Extraction

Newlin Shebiah R, Arivazhagan S, Kanishkashree J, Sankara Gomathi S — Tue, 31 Mar 2026 00:00:00 +0100

Person recognition under varied conditions is a critical task that aims to accurately identify individuals captured from different angles or at different times. One of the primary challenges in this field is occlusion, which significantly degrades recognition performance. To address this issue, we propose an advanced attention-based network designed to mitigate the effects of occlusion and enhance recognition accuracy. Our approach leverages channel attention to dynamically recalibrate the importance of each channel, utilizing both width and depth attention mechanisms to emphasize discriminative and informative features. The network employs a multi-scale feature extraction strategy, partitioning feature maps to capture multi-level representations of the human body. The concatenation of results from these attention stages facilitates the integration of local and global features, effectively reducing the impact of occlusion. We evaluate the proposed model on multiple benchmark datasets, including PRID 2011, iLIDS-VID, and Market-1501. The experimental results demonstrate that our model achieves superior performance, attaining a top accuracy of 99.79% on the PRID 2011 dataset, 98.55% on the iLIDS-VID dataset, and 88.24% on the Market-1501 dataset.

Analisis Kebutuhan dan Desain Antarmuka Interaktif Virtual Reality untuk Anak Usia Dini Berdasarkan Prinsip Child-Computer Interaction

Dikki Sihombing Sihombing, Ria Andryani — Tue, 31 Mar 2026 00:00:00 +0100

Virtual Reality (VR) merupakan teknologi imersif yang mampu menghadirkan lingkungan virtual tiga dimensi sehingga pengguna dapat berinteraksi secara langsung dengan objek virtual. Dalam bidang pendidikan, teknologi ini berpotensi menjadi media pembelajaran interaktif yang menarik, khususnya bagi anak usia dini yang cenderung belajar melalui visual dan pengalaman langsung. Namun, penerapan Virtual Reality pada anak usia dini memerlukan perancangan antarmuka yang disesuaikan dengan karakteristik perkembangan kognitif, motorik, dan kemampuan interaksi anak. Penelitian ini bertujuan untuk menganalisis kebutuhan pengguna serta merancang desain antarmuka interaktif Virtual Reality untuk anak usia dini berdasarkan prinsip Child-Computer Interaction (CCI). Metode penelitian yang digunakan adalah Research and Development (R&D) yang meliputi tahapan identifikasi masalah, analisis kebutuhan pengguna, studi literatur, perancangan desain antarmuka, serta validasi dan revisi desain. Subjek penelitian melibatkan anak usia dini dan guru sebagai pengguna pendukung dalam proses pembelajaran. Hasil penelitian menunjukkan bahwa desain antarmuka VR untuk anak usia dini perlu menekankan kesederhanaan tampilan, penggunaan ikon berukuran besar, visual yang realistis, navigasi yang intuitif, serta minim penggunaan teks. Penerapan prinsip Child-Computer Interaction terbukti membantu menghasilkan rancangan antarmuka yang lebih ramah anak, mudah digunakan, dan aman. Desain antarmuka yang dihasilkan diharapkan dapat menjadi acuan awal dalam pengembangan media pembelajaran berbasis Virtual Reality yang mendukung proses pembelajaran anak usia dini secara interaktif dan efektif.

Penerapan Metode UCD (User Centered Design) dalam Pengembangan dan Implementasi Pengelolaan Sistem Magang Online

Mia Nurhaliza, Ardian Firosha, Deddy Prayama, Taufik Gusman — Tue, 31 Mar 2026 00:00:00 +0100

Internships are a mandatory activity for students at several universities, especially vocational colleges and vocational high school students, as a graduation requirement. They aim to apply the knowledge gained during their studies in the workplace. However, the management of prospective intern registration and management services is still done manually, resulting in inefficiency and the potential for administrative errors. Therefore, digitizing the internship registration and management process is necessary to improve the efficiency of the registration process and data management of prospective interns. This study aims to design a website-based online internship management system that can simplify administration, minimize errors, and all needs and activities through this website such as registration, attendance, daily logbooks, uploading final internship reports and awarding certificates upon completion of the internship. For the Agency, this system will simplify data management and increase transparency in internship management. Related research shows that the online internship management system is effective in accelerating the online registration and monitoring process for interns. The User-Centered Design method was chosen as the approach in designing this system, focusing on user needs through the stages of analysis, design, development, and evaluation of the system in an iterative manner. The developed system will be tested using usability testing to assess the level of ease of use and user satisfaction. By implementing this method, it is hoped that the online internship management system will be more efficient and transparent, as well as improve the internship registration and management process, making it more organized and modern

The Impact of Technological System Usability on Customer Relationship Management Practices in Telecommunication Companies in Benadir Region, Mogadishu, Somalia

Aweis Ahmed Hussein Jarras, Abdimalik Aden Ibrahim — Thu, 26 Mar 2026 07:03:24 +0000

This study explored how the usability of technological systems affects Customer Relationship Management (CRM) practices in the telecommunications industry in the Benadir Region, Mogadishu, Somalia. A descriptive research design with quantitative methods was employed. Data were collected from 100 employees in the telecommunications sector. The study employed questionnaires distributed through Google Forms to assess the impact of user-friendly CRM interfaces on adoption and usage, evaluate the training duration required for proficiency, and examine how system speed and functionality influence productivity. The results showed that 80% of users found the CRM interface intuitive and easy to learn, 28% were neutral, and 9% were dissatisfied with the clarity of error messages. Furthermore, 55% of users had less than a year of CRM experience, emphasizing the necessity of role-specific training. Although 71% of participants praised real-time analytics and 80% found automation beneficial, only 57% believed that CRM improved overall productivity, suggesting contextual challenges in achieving efficiency improvements. The predominantly young (65% aged 26-45), male (67%), and inexperienced user group highlights the need for inclusive design and phased onboarding. The recommendations include redesigning error messages, implementing tiered training, and enhancing mobile functionality for low-bandwidth settings. This study adds to CRM usability research by combining human-centered design principles with technology acceptance frameworks and identifying a "usability-proficiency gap" in fragile economies. The practical implications for telecom managers involve actionable strategies to boost CRM adoption and effectiveness within Somalia's unique infrastructure and workforce context.

Pemilihan Peserta Terbaik pada Sistem Manajemen Bimbingan Belajar Uji Kompetensi dengan Metode Weighted Product dan Simple Additive Weighting

Firman Shiddiq Alamsyah, Deni Satria, Yulherniwati — Tue, 31 Mar 2026 00:00:00 +0100

The Competency Test Learning Guidance is a platform for students or nurses who wish to enter the workforce. The learning guidance organized by Appskep Indonesia is held annually in several periods. One of the efforts to improve the quality of the participants is by evaluating them and selecting the best participants for each class period in Appskep Indonesia. The selection of the best participants in the Competency Test Learning Guidance at Appskep Indonesia currently lacks a system capable of conducting effective and efficient evaluations. The criteria for selecting the best participants in the Competency Test Learning Guidance at Appskep include the average exam scores from the Competency Test tryouts taken by the participants, access to materials available to all registered participants, attendance at the start and end of the classes, and each participant's level of activeness. The decision support system for selecting the best participants for this research uses the Weighted Product (WP) and Simple Additive Weighting (SAW) methods, implemented in a website. SAW is a method that involves finding the weighted sum of performance ratings for each alternative across all attributes. In contrast, WP uses multiplication to relate attribute ratings, where each attribute is first raised to the power of its respective weight. The research was conducted to test three class periods starting from July 2023 to March 2024. The study compared the results of the methods in Excel and on the website, achieving 100% accuracy. This research compares the SAW and WP methods for the intensive batch 158, intensive batch 157, and intensive batch 156 class periods. The results for the intensive batch 158 showed that the best participant was Aditya Rizal with WP and SAW scores of 0.01207 and 1.01, respectively. For the intensive batch 157, the best participant was Sarri Qurrotul with WP and SAW scores of 0.01099 and 0.95, respectively. For the intensive batch 156, the best participant was Ari Lani with WP and SAW scores of 0.01707 and 1.01, respectively

Penerapan K-Medoids untuk Pengelompokan Kepatuhan Wajib Pajak PBB di Kecamatan Bukit Kecil

Muhammad R Firdaus, Iis Pradesan — Sun, 29 Mar 2026 09:26:45 +0100

Land and Building Tax (PBB) is an important source of revenue for local governments. However, taxpayer compliance levels vary across regions, which makes the process of mapping and evaluation more challenging. This study aims to group PBB taxpayers in Bukit Kecil District based on their compliance levels using the K-Medoids algorithm. The research was conducted following the CRISP-DM stages, which include business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The data used consist of PBB taxpayer data from 2018 to 2022 with attributes including Tax Object Number (NOP), sub-district, tax year, and payment status. Before the clustering process, the data underwent preprocessing stages such as cleaning, transformation, and normalization. The results indicate that the K-Medoids method is able to form several groups of taxpayers with different levels of compliance. This grouping provides an overview of taxpayer compliance patterns in the study area. Based on these results, it can be concluded that the K-Medoids algorithm can be used as an analytical tool to support evaluation and strategic planning of PBB management by the Regional Revenue Agency.

Estimasi Jumlah Buah Kelapa Sawit untuk Mendukung Manajemen Produksi Berbasis YOLOv5 TensorFlow Lite

Muhammad Bintang, Rasyidah, Novi — Tue, 31 Mar 2026 00:00:00 +0100

This research aims to develop a mobile application capable of detecting and counting oil palm fruit bunches automatically using the YOLOv5 object detection method. The dataset used in this study consists of 226 images of oil palm fruit bunches collected directly from PT Eagle High Plantation located in East Kalimantan. The dataset was annotated using bounding box techniques and processed using Roboflow to perform data augmentation, increasing the dataset size to 856 images. The model training process was conducted using YOLOv5 to detect oil palm fruit bunches in images and produced a precision value of 0.859, recall of 0.673, mAP@0.5 of 0.767, and mAP@0.5:0.95 of 0.542. The trained model was then converted into TensorFlow Lite format and integrated into a mobile application developed using the Flutter framework. The system allows workers to capture images of oil palm fruit bunches and automatically calculate the number of detected objects directly on mobile devices without relying on server-based processing. Firebase services are also integrated for authentication, data storage, and verification by supervisors. The implementation of this system is expected to improve efficiency and transparency in recording oil palm harvest data.

Sistem Pakar Diagnosa Kerusakan Smartphone Menggunakan Metode Certainty Factor

Ilham Agus Pratama, Aldo Erianda, Ardi Syawaldipa — Tue, 31 Mar 2026 00:00:00 +0100

Smartphones are multifunctional telecommunication devices that have become an essential part of everyday life. However, with the increasing use of smartphones, damage to these devices often occurs and is difficult for lay users to detect. To assist Pagaruyung Ponsel employees or cashiers in diagnosing smartphone damage without needing to rely on expert technicians, this study developed a computer-based expert system. This system combines the Forward Chaining and Certainty Factor (CF) methods to accurately detect smartphone damage. By utilizing expert knowledge, this system provides appropriate solutions based on detected symptoms. The system's accuracy test results showed a value of 85%, which proves the system's effectiveness in providing accurate diagnoses. It is hoped that this system can facilitate independent smartphone diagnosis and repair anytime and anywhere, through a website-based platform. The implementation of this expert system with the Forward Chaining and Certainty Factor (CF) methods is expected to increase the speed and efficiency in handling smartphone damage problems