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Pemodelan Redaman Hujan Sebagai Parameter Power Link Budjet Pada Base Transceiver Station (BTS) Jaringan 5G : Modeling Rain Attenuation as a Budjet Power Link Parameter in 5G Network Base Transceiver Station (BTS) Made Sutha yadnya; I Wayan Sudiarta; I Putu Gede Wirarama Wedashwara
JURNAL SAINS TEKNOLOGI & LINGKUNGAN Vol. 9 No. 3 (2023): JURNAL SAINS TEKNOLOGI & LINGKUNGAN
Publisher : LPPM Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jstl.v9i3.513

Abstract

Rain is a natural phenomenon that occurs in tropical climates during the period it occurs which is a nuisance in wireless communications. The research focus for 5G communications is ongoing to be able to overcome or mitigate rainy conditions. Rain data from satellite images is taken in the form of processed images with different color degradation. The resulting rainfall data is then converted into rain attenuation. This rain attenuation is used to predict noise interference from rain so that it can be overcome in rainy conditions. Statistical data from rain attenuation was modeled and generated numerically using ARMA which was modified to ARIMA so that observations from non-stationary to stationary. The ARIMA model value in this research is ARIMA (6,1,6).
Rancang Bangun Sistem Satu Data sebagai Strategi Peningkatan Mutu Pendidikan Tinggi di Universitas Mataram Mohammad Zaenuddin Hamidi; Ahmad Zafrullah Mardiansyah; I Wayan Sudiarta; Halil Akhyar
Jurnal Teknologi Informasi dan Multimedia Vol. 7 No. 3 (2025): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v7i3.781

Abstract

The quality of higher education greatly depends on the accuracy and consistency of data used in decision making and accreditation processes. At the University of Mataram, various information systems have been developed separately, such as the Academic Information System (SIA), the New Student Admission System (PMB), the Research and Community Service Information System (SIMLITABMAS), and the Lecturer Performance Information System (BKD). However, the lack of integration among these systems has resulted in fragmented data, which is often unsynchronized and complicated the quality reporting process. This study aims to design and develop an integrated information system based on the One Data approach, which consolidates various primary data sources into a centralized platform within the University of Mataram. The advantages of the developed system lie in its direct integration with PDDIKTI, enabling automated data retrieval and submission through the national central system. This research adopts a Research and Development (R&D) approach with a Waterfall based software development method, consisting of the stages of requirement analysis, system design, implementation, testing, and evaluation. The results show that the developed system is able to integrate data from various existing systems and presenting it in a consistent format that is easily accessible by relevant units, with testing results achieving a 100% success rate. The system has been proven to support efficiency in reporting and monitoring processes for higher education quality in a more accurate manner. In conclusion, the One Data system contributes significantly to improve the quality of data governance and quality assurance processes in higher education and can serve as a foundation for the development of a more holistic and sustainable academic data ecosystem.
Penentuan Density Matrix Sistem Kuantum Satu Partikel Dimensi Satu dengan Metode Discretized Path Integral (DPI) Iyan Islamiyati; I Wayan Sudiarta; Lily Maysari Angraini
Jurnal Teori dan Aplikasi Fisika Vol. 11 No. 1 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i1.324

Abstract

Object distance analysis using convolutional neural network (CNN) method based on stereo vision B. Hilda Nida Alistiqlal; I Wayan Sudiarta; Susi Rahayu
Journal of Physics: Theories and Applications Vol 8, No 2 (2024): Journal of Physics: Theories and Applications
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jphystheor-appl.v8i2.86069

Abstract

Blind or semi-blind people require additional devices or assistants such as a cane or a guide dog to navigate in their daily activities. In robotic or automation technology such as self-driving cars also require knowing objects in front of them accurately. The purpose of this paper is to study the use of stereo cameras as a distance measuring device and to determine the optimal camera configuration and its accuracy. The method used to determine distance is the convolutional neural network (CNN) method based on stereo vision. For training and validation data, we recorded images of a ball in random positions in front of the stereo cameras. This test uses two steps, the first is to recognise the camera object using the CNN method, then the second is to measure the stereovision-based object with an input image of 1350 image pairs. With 160 images used as CNN training data and the remaining 40 images as CNN validation data, the entire dataset is also taken to be used as training data for ball distance. Based on the results of the study, it was found that the model successfully predicted the image with 97% accuracy. The accuracy of the optimal distance measurement results at a distance between cameras of 11 cm is found to be 68.03% within a distance of 1 m, for a distance between cameras of 15 cm is found to be 94.63% within a distance of 2 m, and for a camera distance of 19 cm is found to be 99.61% for a distance of 3 m objects.
PEMODELAN CURAH HUJAN MENGGUNAKAN PERSAMAAN PREDATOR-PREY (Studi Kasus : Kecamatan Kediri, Kab. Lombok Barat) Hulfiatun Hanani; Nuzla Af’idatur Robbaniyyah; I Wayan Sudiarta
Jurnal Silogisme : Kajian Ilmu Matematika dan Pembelajarannya Vol 10 No 02 (2025): Desember
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/silogisme.v10i02.11621

Abstract

Curah hujan dapat dianalogikan sebagai sebuah populasi yang terus tumbuh dan berkembang, namun pertumbuhannya terbatas. Curah hujan dapat tumbuh dikarenakan uap air yang berasal dari peristiwa kondensasi. Pertumbuhan curah hujan dapat dimodelkan ke dalam bentuk model pertumbuhan logistik. Salah satu model matematika yang merupakan bentuk model pertumbuhan logistik adalah model predator-prey atau model mangsa-pemangsa. Data curah hujan dan predator-prey sama-sama memiliki nilai yang selalu positif atau tidak pernah negatif. Model predator-prey belum pernah digunakan untuk memodelkan data curah hujan. Tujuan dari penelitian ini adalah untuk mengetahui model predator-prey dalam menggambarkan model curah hujan dan untuk mengetahui estimasi parameter persamaan predator-prey yang sesuai dengan kasus curah hujan. Hasil penelitian ini menunjukkan model predator-prey yang menggambarkan kasus curah hujan adalah model sebagai predator, dengan estimasi nilai parameter diperoleh dari pendekatan analisis persamaan titik ekuilibrium predator-prey, frekuensi sudut dan periode dari stabilitas titik ekuilibrium center pada persamaan predator-prey.
Simple Bookkeeping and Cost of Production Training to Strengthen Financial Management of Bale Cita Rasa Laut Awang I Wayan Sudiarta; Tri Isti Rahayu; Vici Handalusia Husni
Jurnal Pengabdian Magister Pendidikan IPA Vol 9 No 3 (2026): Juli-September 2026
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpmpi.v9i3.16254

Abstract

This community service activity aimed to strengthen the financial management capacity of Bale Cita Rasa Laut Awang, a coastal microenterprise group in Awang Preparatory Village, Pujut District, Central Lombok, through simple bookkeeping and cost of production (Harga Pokok Produksi/HPP) training. Initial identification showed that financial records were limited to production and purchasing notes and had not systematically covered cash inflows, cash outflows, sales, inventory, or production costs. The activity was conducted on 1 August 2026 using a participatory approach consisting of needs identification, basic bookkeeping instruction, hands-on transaction recording, HPP simulation, introduction of an Excel-based calculator, and follow-up mentoring. The partner received a business ledger, training module, and Excel templates for HPP and business summaries. In the training simulation, total production cost of Rp402,500 for an assumed 25-pouch batch produced an HPP of Rp16,100 per pouch. The calculated minimum selling prices were Rp20,125 for a 20% margin and Rp21,467 for a 25% margin. The activity strengthened the partner’s ability to identify cost components, record transactions systematically, and use cost information as a basis for pricing and business evaluation. Continued mentoring is needed to maintain recording discipline and update cost inputs for each production batch.