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All Journal Journal of Information Systems and Informatics Jurnal Bakti Saintek: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Eksergi: Jurnal Teknik Energi
Dhiyaussalam, Dhiyaussalam
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Electrical & Electronics Engineering Energy Engineering Mechanical Engineering Other

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Merancang Strategi Pemasaran di Era Digital pada UMKM Rumah Makan Padang Pergaulan Yogyakarta Dori Gusti Alex Candra; Helmy Amalia Ariesta; Dhiyaussalam; Agung Fatwanto
Jurnal Bakti Saintek: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 6 No. 1 (2022)
Publisher : Fakultas Sains dan Teknologi, UIN Sunan Kalijaga Yogyakarta

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Abstract

Usaha Mikro Kecil dan Menengah (UMKM) merupakan Usaha perdagangan yang dikelola dan berdiri sendiri, yang dilakukan oleh perorangan atau badan usaha yang merujuk pada usaha ekonomi produktif dengan kriteria yang sudah ditetapkan oleh undang – undang, pengembangan kawasan andalan untuk mempercepat pemulihan perekonomian guna mewadahi program prioritas serta pengembangan berbagai sektor dan pontensi. Rumah Makan Padang Pergaulan merupakan salah satu UMKM yang ada di Yogyakarta yang bergerak dalam usaha perdagangan berbagai jenis masakan  padang  yang menjadi target sasaran penjualan nya adalah mahasiswa dan masyarakat sekitar. Program Merancang Strategi Pemasaran di Era Digital merupakan salah satu wujud pengabdian kepada UKMK Rumah Makan Padang Pergaulan guna untuk meningkat pengetahuan  persaingan perdagangan di era digital ditengah pandemi covid-19 agar memberikan wawasan seputar perkembangan teknologi dalam melakukan strategi pemasaran di era teknologi yang sangat pesat perkembangannya saat ini sehingga mampu meningkat omset penjualan dengan sangat baik walapun dalam masa pandemi. Kegiatan ini dilakukan secara langsung kepada pihak Rumah Makan Padang Pergaulan dengan meliputi kegiatan yang dikalukan adalah pra kegiatan, kegiatan sosialisasi, penyampaian materi, penerapan pemasaran di aplikasi digital serta evaluasi kegiatan. [Micro, Small and Medium Enterprises (SME) are trade businesses that are managed and independent, carried out by individuals or business entities that refer to productive economic businesses with criteria set by law, development of flagship areas to accelerate economic recovery to accommodate programs priorities and development of various sectors and potentials. The Padang Association Restaurant is one of the UMKM in Yogyakarta which is engaged in trading various types of Padang cuisine whose sales targets are students and the surrounding community. The Program for Designing Marketing Strategies in the Digital Era is a form of dedication to UKMK Padang Association Restaurants in order to increase knowledge of trade competition in the digital era in the midst of the COVID-19 pandemic in order to provide insight into technological developments in carrying out marketing strategies in the era of technology which is very rapidly developing at this time. This is so that it is able to increase sales turnover very well even during the pandemic. This activity was carried out directly to the Padang Association Restaurant by covering the activities carried out, namely pre-activities, socialization activities, delivery of materials, application of marketing in digital applications and evaluation of activities.]
Predicting Respiratory Conditions Using Random Forest and XGBoost Dhiyaussalam, Dhiyaussalam; Yusuf, Ahmad; Wardiah, Isna; Putri, Nitami Lestari
Journal of Information System and Informatics Vol 7 No 2 (2025): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i2.1124

Abstract

This study examines the performance of Random Forest and XGBoost in predicting the diagnosis and severity of respiratory diseases using a simulated dataset of 2,000 patient records. The models were tested on two classification tasks: identifying disease types (e.g., pneumonia, influenza) and classifying severity levels (mild, moderate, severe). Both models achieved perfect accuracy in severity classification, with 1.0000 ± 0.0000 cross-validation scores, demonstrating strong stability under balanced class distributions. However, in the diagnosis task, Random Forest underperformed on minority classes, particularly pneumonia, with a recall of 0.18 and F1-score of 0.31. XGBoost, on the other hand, achieved superior results across all classes, including minority cases, with 0.9825 ± 0.0170 cross-validation accuracy and perfect test set performance. These findings highlight XGBoost’s robustness in handling imbalanced and multiclass medical data, making it a promising candidate for clinical decision support. Future work should address class imbalance and explore explainability techniques to improve trust and transparency in real-world applications.
Simulation of Automatic Solar Tracker Control System Using Proteus Application Efendi, Erwan Tri; Wibowo, Bayu Setyo; Dhiyaussalam, Dhiyaussalam; Wardhany, Arum Kusuma; Wibisono , Arifin
Eksergi Vol. 20 No. 03 (2024): SEPTEMBER 2024
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/eksergi.v20i03.6360

Abstract

As a tropical country, Indonesia possesses significant renewable energy potential, particularly from solar and wind sources. However, seasonal variations—such as high solar intensity during the dry season and increased wind speeds during the rainy season—pose challenges to optimizing solar cell utilization. While solar energy presents an ideal solution for clean energy transition, static photovoltaic (PV) systems suffer from efficiency limitations due to their inability to track the sun’s movement. Dual-axis solar trackers can enhance energy efficiency by 25–35% compared to fixed systems, particularly in tropical regions with dynamic solar positioning. However, large-scale physical implementation requires substantial investment, making simulation tools like Proteus essential for computational validation prior to real-world deployment. Proteus facilitates comprehensive modeling of LDR sensors, servo motors, and microcontroller-based control algorithms (e.g., Arduino) in a precise virtual environment. This approach also evaluates the impact of tropical conditions (e.g., humidity, rainfall) on system reliability while optimizing designs to reduce costs. Integrating current research with Proteus simulations offers a robust methodology to accelerate solar tracker adoption in Indonesia.
Co-Authors Agung Fatwanto Ahmad Yusuf Arum Kusuma Wardhany Dori Gusti Alex Candra Efendi, Erwan Tri Helmy Amalia Ariesta Putri, Nitami Lestari wardiah, isna Wibisono , Arifin Wibowo, Bayu Setyo