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Pemilihan Provider Internet Ponsel Terbaik Dengan Metode Weighted Sum Model Dyas, Pramudya Widyastama; Purnama, Rachmat Adi; Triyanto, Dedi; Kurniawan, Deny
Media Teknologi dan Informatika Vol. 1 No. 4 (2024): Oktober
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/mti.v1i4.7623

Abstract

Penelitian ini bertujuan untuk menganalisis pemilihan provider jaringan ponsel terbaik berdasarkan pengalaman pelanggan menggunakan metode Weighted sum model (WSM). Enam provider utama yang diteliti adalah XL Axiata, Telkomsel, Three, Smartfren, Indosat, dan Axis. Data dikumpulkan melalui kuesioner dengan skala Likert 1-5, di mana nilai 1 menunjukkan "Sangat Tidak Baik" dan nilai 5 menunjukkan "Sangat Baik." Analisis dilakukan secara manual dan dengan menggunakan MATLAB untuk memastikan validitas hasil. Hasil penelitian menunjukkan bahwa Telkomsel mendapatkan skor tertinggi sebesar 205,45, mengindikasikan bahwa provider ini memberikan pengalaman pelanggan terbaik dibandingkan dengan provider lainnya. Faktor-faktor yang paling mempengaruhi kepuasan pelanggan meliputi kualitas sinyal, kecepatan internet, cakupan geografis, harga layanan, dan kualitas layanan pelanggan. Konsistensi antara perhitungan manual dan MATLAB menunjukkan keandalan metode WSM yang digunakan. Penelitian ini memberikan wawasan berharga bagi provider untuk meningkatkan kualitas layanan mereka dan membantu konsumen dalam membuat keputusan yang lebih terinformasi. Saran diberikan kepada Telkomsel untuk mempertahankan kualitas layanannya, sementara provider lain disarankan untuk meningkatkan aspek-aspek layanan yang kurang memuaskan. Penelitian ini juga membuka peluang bagi penelitian lanjutan untuk mencakup lebih banyak variabel dan provider.   This study aims to analyze the selection of the best mobile internet provider based on customer experience using the Weighted sum model (WSM). The six main providers studied are XL Axiata, Telkomsel, Three, Smartfren, Indosat, and Axis. Data were collected through a questionnaire using a Likert scale of 1-5, where 1 indicates "Very Poor" and 5 indicates "Very Good." The analysis was conducted manually and using MATLAB to ensure result validity. The results showed that Telkomsel obtained the highest score of 205.45, indicating that this provider offers the best customer experience compared to other providers. Factors that most influence customer satisfaction include signal quality, internet speed, geographic coverage, service price, and customer service quality. The consistency between manual calculations and MATLAB shows the reliability of the WSM method used. This research provides valuable insights for providers to improve their service quality and helps consumers make more informed decisions. Recommendations are given to Telkomsel to maintain its service quality, while other providers are advised to improve aspects of their services that are less satisfactory. This research also opens opportunities for further studies to include more variables and providers.
Penerapan Model Design Thinking Pada Perancangan Aplikasi Informasi Desa Wisata Kabupaten Bantul Hidayat, Wahyutama Fitri; Malau, Yesni; Purnama, Rachmat Adi; Setiadi, Ahmad
Computer Science (CO-SCIENCE) Vol. 4 No. 2 (2024): Juli 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v4i2.3459

Abstract

Tourism actors in the current technological era have implemented information systems. With the rapid growth of tourist villages in Bantul Regency, there is a need for promotion and digital information delivery media. However, in developing digital media it is also necessary to pay attention to aspects of the users who are the target market. The design of the application called sidewi mobile (mobile tourist village information system) is based on user experience and needs, using the Design Thinking methodology which has five stages as follows: Empathize, Define, Ideate, Prototype, and Test. The design of the Sidewi mobile application was created using FIGMA software. This research has direct benefits, namely that it can be used as a benchmark for design needs before the development process. The results of the design are then tested using the usability testing method. Using a user friendly design approach and conducting testing using usability testing with the results of five users being able to complete the testing proves that when it was created using user experience there were no significant difficulties when used and it covered all needs.
Usability Testing Aplikasi Informasi Desa Wisata Menggunakan Metode Cognitive Walkthrough dan System Usability Scale (SUS) Hidayat, Wahyutama Fitri; Setiadi, Ahmad; Malau, Yesni; Purnama, Rachmat Adi
Jurnal INSAN Journal of Information System Management Innovation Vol. 5 No. 1 (2025): Juni 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/j-insan.v5i1.8887

Abstract

Penelitian ini membahas pengujian usability pada aplikasi Sidewi Mobile guna mengevaluasi tingkat keterpakaian dan kepuasan pengguna. Metode yang digunakan adalah System Usability Scale (SUS) dan Cognitive Walkthrough untuk mengidentifikasi masalah serta memberikan rekomendasi perbaikan berdasarkan pengalaman pengguna. Hasil pengujian menunjukkan bahwa aplikasi memiliki tingkat keberhasilan penyelesaian tugas sebesar 89,2% dan efisiensi penggunaan dengan rata-rata waktu penyelesaian sebesar 0,01 goals/seconds. Nilai SUS yang diperoleh sebesar 52,1, menunjukkan bahwa aplikasi masih berada dalam kategori marginal low dan belum sepenuhnya dapat diterima oleh pengguna. Oleh karena itu, rekomendasi perbaikan mencakup peningkatan antarmuka pengguna serta penambahan fitur pencarian untuk meningkatkan pengalaman pengguna dalam mengakses informasi desa wisata.
Virtual Link Aggregation Network Performance Using MikroTik Bonding Firmansyah, Firmansyah; Wahyudi, Mochamad; Purnama, Rachmat Adi
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 2 No 2 (2021): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v2i2.394

Abstract

Quality of Service in a network is a big thing that must be resolved and dealt with as best as possible. The limitation of the maximum transfer rate in network devices creates an obstacle in the process of transferring data packets. To maximize the transfer rate in network devices, you can use Virtual Link Aggregation which can offer bandwidth optimization and failover in the network. Link aggregation is a solution in combining several physical links into one logical link. The method used in this research is to consider the allocation of bandwidth, load balancing and failover in the link aggregation. From the results of the link aggregation test using two (2) interface bonding, the results of the bandwidth averages when there is a UPD data packet transfer to 0 bps / 184.9 Mbps, which was previously around 0 bps / 91.6 Mbps. While the result of the bandwidth averages when the TCP data packet transfer occurs is 0 bps / 105.5 Mbps, which was previously around 0 bps / 93.8 Mbps. Link Aggregation using a Mikrotik Router is a solution to produce a larger Throughput Bandwidth by combining two (2) Ethernet Physical Links into one logical link.
Implementation of YOLOv8 and DETR for Multi-Level Tomato Ripeness Detection with Real-Time Bounding Boxes Muhammad Rizky Heriadi Putra; Deni Setiawan; Ahnaf putra hafezi; Rachmat Adi Purnama; Veti Apriana; Rame Santoso
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.5083

Abstract

Tomato ripeness detection is an essential component in the development of automated agricultural systems, enabling improvements in harvesting accuracy, sorting consistency, and supply chain standardization. Conventional grading processes rely heavily on manual observation, which is subjective, labor-intensive, and unsuitable for large-scale operations. Recent advancements in deep learning enable automated recognition of visual maturity indicators through object detection frameworks, offering a more reliable and scalable solution. This study examines the implementation of two modern detection models, YOLO and DETR, for multi-level tomato ripeness classification involving four distinct maturity stages. The research workflow includes dataset collection, annotation, preprocessing, model training, threshold calibration, and systematic evaluation to assess detection stability and classification behavior under real-world variability.Analysis of model outputs demonstrates that both architectures are capable of identifying multiple ripeness stages with useful levels of consistency, although each model exhibits strengths under different operational conditions. YOLO provides advantages in scenarios requiring real-time responsiveness and deployment on resource-limited hardware, making it suitable for mobile automation and field-based harvesting systems. DETR shows improved interpretive behavior in visually complex environments, particularly when samples exhibit subtle maturity differences or appear in overlapping cluster formations. The findings indicate that no single model is universally optimal and that deployment choice should be based on application requirements, environmental constraints, and operational objectives. This research contributes practical insight to the integration of artificial intelligence in agriculture and provides a foundation for future work exploring model fusion, advanced feature learning, or multispectral input integration to further enhance maturity classification performance.