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Vol. 5 No. 1 (2025): March-August 2025
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Indonesia (73)
Articles
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Stability Testing of an Air Quality Monitoring System for Particulate Matter (PM2.5 and PM10) Based on The SEN0233 Sensor
Anshah Silmi Afifah, Alfani Risman Nugroho, Wahyu Widiyanto, Putri Dwi Haryati, Edo Ardiyan SyahShow Abstract | Download PDF | DOI: 10.31004/jestm.v5i1.205 | Check in Google Scholar
Particulate Matter (PM) is an air pollutant that has the potential to pose serious health risks to the public, including respiratory and cardiovascular diseases. This study aims to design and develop a real-time monitoring system for PM2.5 and PM10 using the SEN0233 sensor. This system is expected to be able to provide accurate data on the concentration of particles in the air. The research methodology includes selecting the right sensor, designing a NodeMCU microcontroller-based system, and testing the sensor to ensure measurement accuracy. The collected data will be stored in a database and can be accessed through a web interface, allowing users to monitor air quality directly. Initial test results show that the SEN0233 sensor is able to detect PM2.5 and PM10 concentrations well. This research contributes to the development of a more efficient and reliable monitoring system, to improve air quality and overall public health.
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Analysis of Fuel Distribution at Pertashop at PT XYZ
Arifah Candra Kirana, NurwidianaShow Abstract | Download PDF | DOI: 10.31004/jestm.v5i1.219 | Check in Google Scholar
PT. XYZ is a company involved in various activities related to fuel oil (BBM), such as receiving, storing, and distributing it to gas
stations or Pertashop. The process of sending fuel from PT. XYZ to Pertashop is carried out using tanker trucks. One of the problems
faced is the limited number of tanker trucks, which can cause delays in fuel delivery, so that the distribution schedule cannot be met
properly. In addition, this also reduces the time available for vehicle maintenance and increases the risk of fatigue for tanker truck drivers, which can lead to work accidents. This study aims to find an effective fuel delivery route so that travel time is shorter, so that fuel delivery to various locations can run well and on time. Using the Nearest Neighbor Method, this study can produce a more efficient solution in terms of saving distance when compared to the route currently used by the company. The proposed route with the Nearest Neighbor method has a total distance of 5268.3 km, which is a decrease of 14.49% from the current total distance. The Nearest Neighbor method can also result in savings in the number of tanker trucks, which initially used 119 trucks for 14 days, consisting of 88 tanker trucks with a capacity of 8,000 L and 31 tanker trucks with a capacity of 16,000 L. 41 tanker trucks with a capacity of 16,000 L, which has a savings in the number of tankers of 13.44%30-41 -
Outpatient Patient Satisfaction With Radiology Services at Puri Husada Hospital, Tembilahan
Yogi Septian Malik, Mela Ardeline, Eqiu Al KahfiShow Abstract | Download PDF | DOI: 10.31004/jestm.v5i1.228 | Check in Google Scholar
Hospital is a facility in the health sector that provides services in both the medical and non-medical fields in order to improve the degree of public health. Good service in the medical field, especially radiology services, can improve health status and community satisfaction. This study aims to determine the relationship between outpatient satisfaction with radiology services at Puri Husada Tembilahan Hospital. This type of research is analytic to see the relationship between one variable and another with a cross sectional approach. The number of samples was 200 respondents determined by incidental sampling technique. The statistical test used is the Chi Square Test. The results showed that the p value was 0.000. So it can be concluded that there is a relationship between outpatient satisfaction with radiology services at Puri Husada Tembilahan Hospital. It is expected that all officers at the Radiology Installation of the Puri Husada Tembilahan General Regional Hospital to maintain the level of patient satisfaction with the quality of service at the Puri Husada Tembilahan General Regional Hospital.
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Flood Overflow Identification in Parit Indah Using Hec-Ras Model
Eqiu Alkahfi Tarif, Yogi Septian Malik, Mela ArdelineShow Abstract | Download PDF | DOI: 10.31004/jestm.v5i1.231 | Check in Google Scholar
Flooding is an annual problem and has a major impact on the condition of society both economically, socially and environmentally. Flooding generally occurs due to overflowing rivers or the inability of rivers to accommodate excess river water due to high rainfall. The purpose of the study was to see how flood overflow in Parit Indah is simulated into a model so that it can be visualized and planned for appropriate and efficient control or mitigation efforts. The results of the analysis with the HEC-RAS model with input data of the maximum value of rainfall intensity in the last 10 years and the planned discharge of 2, 4, 6, 8 and 10 years, the results of the model exceeded the volume of the drainage channel and caused flood overflow around the beautiful ditch when the maximum rainfall intensity occurred
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Optimizing Pharmaceutical Logistics through Sales Forecasting of Black Cough Syrup 100 ml to Support Competitive Advantage at PT "X"
Yovita Yulia M. Zai, Rini SyahfitriShow Abstract | Download PDF | DOI: 10.31004/jestm.v5i1.225 | Check in Google Scholar
The pharmaceutical industry faces increasing pressure to maintain efficient supply chain operations amid dynamic market conditions. This study aims to identify the most accurate sales forecasting method to optimize pharmaceutical logistics and support the competitive advantage of PT “X” in producing Black Cough Syrup 100 ml. Using historical monthly sales data from August 2023 to January 2025, the study applies four quantitative forecasting techniques: Single Moving Average (SMA), Weighted Moving Average (WMA), Single Exponential Smoothing (SES), and Linear Regression. Forecast accuracy is evaluated using Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE). The results reveal that the 3-period SMA method yields the lowest forecast error (MAD: 954; MAPE: 21.09%) and is the most suitable model for the case. These findings highlight the strategic importance of integrating forecasting methods into pharmaceutical logistics to improve production planning, reduce stockout risks, and enhance customer satisfaction. By adopting accurate forecasting tools, PT “X” can strengthen interdepartmental coordination, improve inventory turnover, and build a sustainable competitive edge in the pharmaceutical market.
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Analysis of Traffic Accident Characteristics on the Pekanbaru-Bangkinang Highway KM 20-60, Kampar Regency
Hanantatur Adeswastoto, Febryanto, Nanda Lelis Febrianty, Muhammad Azlan Saputra, Salsa Bilah YetiShow Abstract | Download PDF | DOI: 10.31004/jestm.v5i1.247 | Check in Google Scholar
Based on the Kampar Police traffic accident report data, on the Pekanbaru - Bangkinang KM 20 - 60 highway section, there have been many cases of traffic accidents that have caused material losses, minor injuries, serious injuries, and death. This study aims to determine and identify the causal factors and characteristics of traffic accidents. The method used in this research is descriptive qualitative method based on primary data from direct observation and secondary data obtained from relevant agencies, namely the Kampar Traffic Police related to traffic accidents. The results of the analysis show that on the Pekanbaru - Bangkinang KM 20 - 60 highway section can be identified The results of the analysis according to the 2018 - 2022 data show that based on the time of occurrence the most frequent accident is at 14.00 - 16.00 WIB with 50 accidents. Based on the vehicle involved, it is known that the most frequent accidents are caused by motorbikes - motorbikes as many as 76 incidents. the number of accident victims is 320 people where 65 people died, 67 people were seriously injured, 188 people were slightly injured. Most accident involvement is teenagers aged 15-20 years. This shows that at that age there is still a lack of awareness of driving knowledge.
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Global Research Trends in Animal Feed Nutrition and Industry Development: a Bibliometric Analysis
Ulfa Nurrofingah, Fensa Eka WidjayaShow Abstract | Download PDF | DOI: 10.31004/jestm.v5i1.288 | Check in Google Scholar
The feed industry is a cornerstone of global livestock production and food security, with feed costs representing more than half of total production expenses. In response to rising demand for animal protein and growing sustainability concerns, research in animal feed nutrition has advanced rapidly. This study maps global research trends in feed nutrition and industry development through a bibliometric analysis of 747 publications retrieved from Scopus (2000–2025). Data were analyzed using the Bibliometrix R-package via Biblioshiny. Results show a marked increase in publications, particularly in the past decade. Core journals identified include Poultry Science, Animals, and Aquaculture, serving as key platforms for knowledge dissemination. Productive authors are largely from Asia, with China leading, while major institutions include China Agricultural University, Universiti Putra Malaysia, IPB University, and Universitas Brawijaya. Highly cited works address poultry nutrition, feed additives, and sustainable production. Collaboration networks reveal strong partnerships between China, the United States, and Europe. Trending topics indicate a shift from traditional themes (e.g., diet supplementation, phosphorus, physiology) to emerging areas such as sustainability, aquaculture, immunity, and animal models. Overall, findings highlight a paradigm shift in feed research toward integrated approaches that balance productivity, health, resource efficiency, and environmental impact, offering strategic insights for academia, industry, and policymakers.
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