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Ali Rahmat
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Research and Social Study Institute (RESSI) Prenggan, Kotagede, Kota Yogyakarta, Daerah Istimewa Yogyakarta 55172
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Daerah istimewa yogyakarta
INDONESIA
Open Global Scietific Journal
Published by Research and Social Study Institute
ISSN : -     EISSN : 29617952     DOI : https://doi.org/10.33292/ogsj.v1i2.8
Core Subject : Agriculture, Social,
Agriculture, Biological Sciences & Forestry Environmental Science
Open Global Scietific Journal (OGSJ) is a periodical publication from the IResearch and Social Study Institute (RESSI). Published semiannually, the journal has a goal to be a means of communication and dissemination of research results in Agriculture Sciences. Start Vol 1 Issue 2 Open Global Scientific Journal will publishes research articles, reviews/mini-reviews and letters in all areas of agricultural science. Topics covered include: 1. Agronomy 2. Plant breeding 3. Agricultural biotechnology (including tissue culture, molecular markers, molecular diagnostics, vaccines, genetic engineering, genome editing as well as synthetic biology) 4. Crop physiology and agroecology 5. Soil science and agroclimatology 6. Agricultural economics and rural sociology 7. Sustainable systems 8. Crop protection and Cultivation 9. Pharmacognosy and Pharmaceutical Development 10. Environmental implications of agricultural land 11. Environmental Sciences, including prevention and correction of adverse environmental effects (e.g., soil degradation, waste management, bioremediation)
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Pertanian dan Biologi (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 3 No. 2 (2024): Open Global Scientific Journal" : 5 Documents clear
Decision Support System in Determining Tourist Buses Using the Simple Additive Weighting (SAW) Method Marzuki, Donny Pramudia; Purbaratri, Winny; Prapto, Dwi Atmodjo Wismono; Faried, M Isnin
Open Global Scientific Journal Vol. 3 No. 2 (2024): Open Global Scientific Journal
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70110/ogsj.v3i2.57

Abstract

Background: Tourist buses play a critical role in group travel, where service quality, safety, comfort, and operational efficiency directly influence customer satisfaction. However, the selection process for tourist buses is often subjective, lacking structured evaluation mechanisms that account for multiple criteria.Aims: This study proposes a web-based decision support system (DSS) for tourist bus selection using the Simple Additive Weighting (SAW) method, designed to transform qualitative preferences into quantitative rankings.Methods and Results: The system evaluates nine well-known bus providers based on three key criteria: price, facilities, and brand, each weighted to reflect decision-making priorities. The SAW method was selected for its computational efficiency and ease of implementation; however, its inherent assumption of full compensability between criteria may lead to biased results in complex decisio contexts. To address this, the proposed framework incorporates expert-driven weight assignment and sensitivity analysis, ensuring that critical non-compensatory attributes such as safety are not overshadowed by other criteria. This integration enhances the robustness and reliability of the final rankings, making the system more adaptable to evolving market demands and customer expectations. Testing demonstrated that the DSS successfully ranked alternatives with transparent, data-driven results, with Melody Transport achieving the highest score (0.825) among the evaluated options. The novelty of this research lies in refining the SAW method for a sector-specific application and addressing its compensatory limitations through expert-based adjustments. This approach not only improves decision quality for consumers and tour operators but also establishes a scalable and intelligent framework for future DSS developments in the tourism transportation sector.
Design and Evaluation of a 27 MHz Microcontroller-Based Wireless Communication System for Disaster Mitigation Jaya, Indra; Nawawi, Muhammad; Irma
Open Global Scientific Journal Vol. 3 No. 2 (2024): Open Global Scientific Journal
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70110/ogsj.v3i2.61

Abstract

Background: Indonesia is a region frequently affected by natural disasters. During such events, critical infrastructure often suffers severe damage, and rebuilding it to a fully operational state requires a considerable amount of time. One of the key impacts of natural disasters is the damage to telecommunication networks, which necessitates rapid restoration efforts. Radio communication systems offer a viable solution for emergency communication during such times.Aims and Methods: This study presents the design of an early warning system simulator aimed at mitigating the impacts of disasters in vulnerable areas. The proposed system utilizes the ATmega328 microcontroller as the main data processor, an RX-2B module to receive 27 MHz radio signals transmitted by a TX circuit, and a TX-2B module to send wireless commands via 27 MHz radio frequency to the RX circuit. Additional components include a buzzer as an alarm indicator and a 16x2 LCD display to show patient room information. The objective of this research is to develop a microcontroller-based early warning system simulator for disaster-prone regions.Results: Based on the testing results, data transmission was successfully achieved at distances over 50 meters in indoor environments. In outdoor environments, reliable data communication was maintained at distances of up to 70 meters.
Analysis of The Effect of Elephant Grass (Pennisetum purpureum) Cutting Length on Silage Characteristics with a Shelf Life of 63 Days Azizah, Alfira Nurul; Sosiawati, Endang Sapta Hari; Dianingtyas, Brilian Desca
Open Global Scientific Journal Vol. 3 No. 2 (2024): Open Global Scientific Journal
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70110/ogsj.v3i2.63

Abstract

Background: One of the feed preservation techniques is silage to anticipate forage shortages in the dry season. One of the factors that affect the characteristics of silage is the length of grass cutting.Aims: The purpose of this study was to determine the effect of the length of elephant grass cutting (Pennisetum purpureum) on the quality of silage characteristics including physical, chemical and biological qualities with a shelf life of 63 days.Methods: The method used was an experiment with a Completely Randomized Design (CRD) design, the treatment used was the length of elephant grass cutting, with cutting levels of 3 cm, 5 cm, and 7 cm, each treatment was repeated 5 times and stored for 63 days. The variables observed were the physical characteristics of silage including texture, color, aroma using organoleptic tests with 15 somewhat trained panelists, then the chemical characteristics test by measuring the pH value of the silage and the biological characteristics test by assessing the presence of fungi in the silage. Data analysis used was the ANOVA test (analysis of variance) using the F test. If the F test shows a significant or very significant effect, it is continued with Duncan’s Multiple Range Test (DMRT) test.Results: The results of statistical analysis of the effect of elephant grass cutting length on silage characteristics showed that P1, P2, and P3 had no significant effect on texture, aroma, and pH value (P>0.05), while on color and the presence of fungi there was a significant effect (P<0.05). The conclusion of this study is that there is no significant effect on texture, aroma, and pH value of silage, while on color and the presence of fungi silage there is a significant effect. Suggestions for further research are expected to conduct further analysis on color, fungi, proximate tests, and palatability tests.
Community Structure of Marine Gastropod at Taruy Coastal Waters, Tutuk Tolu, East Seram, Maluku Haumahu, Sara; Uneputty, Prulley A; Supusepa, Junita
Open Global Scientific Journal Vol. 3 No. 2 (2024): Open Global Scientific Journal
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70110/ogsj.v3i2.65

Abstract

Background: Intertidal zone is located between high and low tide in the marine coastal waters. This zone has high diversity of marine resources, inclucing marine gastropods.Aims: The objective of this research was to analyze gastropod community structure namely ecological density, abundance, and ecological indices such as diversity index, evenness index, and dominance index at the coastal waters of Taruy Village, East Seram in May 2023. Methods: The ecological data of marine gastropods using line transect method in which was perpendicular to the coastline. Twelve transects were placed with the distance between transect is 50-m, and 5 meters between quadrates. Each gastropod in the quadrate was counted and preserved by 70% alcohol. Identification was done in Marine Science Laboratory, Faculty of Fisheries and Marine Science, Pattimura University, Ambon.Results: A total of 41 marine gastropods species found in this area, which is grouped into 5 order, 16 families, and 29 genera. Clypeomerus battilariaeformis has the highes ecological densisty and abundance. There were 19 species of marine gastropods which have lowest density and abundance. Species diversity of marine gastropods in this area is moderately categorized (H` = 2.97), while evenness index is highest (J`= 0.80), and there is no dominance species in the community (D = 0.08). Nineteen species of marine gastropods are rare species, and 13 species are common species.
Performance Analysis of Fine-Tuned ChatGPT-3.5 Chatbot for Alni Accessories E-Commerce Service Sugiarti; As'ad, Ihwana; Hilaluddin, Al
Open Global Scientific Journal Vol. 3 No. 2 (2024): Open Global Scientific Journal
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70110/ogsj.v3i2.70

Abstract

Background: The rapid advancement of artificial intelligence (AI) technology, particularly in language modeling, has driven the adoption of chatbots to support e-commerce services. Alni Accessories store faces challenges related to limited product information and slow customer service, which negatively impact user satisfaction.Aims: This study aims to analyze the performance of a fine-tuned ChatGPT-3.5-based chatbot to improve interaction quality and transaction efficiency on the e-commerce platform.Methods & Results: The evaluation process was carried out through a series of experiments, where the 13th experiment achieved the best results with a Training Loss of 0.3894 and a Validation Loss of 0.5787. The Training Mean Token Accuracy of 0.8799 and Validation Mean Token Accuracy of 0.7971 indicate the model’s ability to effectively learn language patterns. Furthermore, the Full Validation Loss of 0.6242 and Full Validation Mean Token Accuracy of 0.8122 demonstrate the model’s strong generalization capability. The independent t-test produced a p-value of 0.0001, confirming a statistically significant difference in transaction response time between the old system and the new system. The findings of this study show that the fine-tuned ChatGPT-3.5 chatbot not only accelerates services and improves product information accuracy but also holds great potential for implementation in other sectors such as education and healthcare.

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