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Jurnal Teknologi
Published by Universitas Muhammadiyah Jakarta
ISSN : 20851669     EISSN : 24600288     DOI : -
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering
This journal is a scientific journal to develop knowledge in the field of Engineering & Technology. Editors invite professionals from education and researcher to write about the progress of science in the field of Engineering & Technology. The journal is published 2 (two) times in 1 year.
Arjuna Subject : -
Articles 318 Documents
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Analysis of Coastline Changes with the Utilization of Geospatial-Based Sentinel Imagery Karlos, Birto; Belladona, Meilani; Supriyono
Jurnal Teknologi Vol. 17 No. 2 (2025): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.17.2.143-156

Abstract

Coastline is a dynamic phenomenon influenced by natural forces such as waves, currents, tides, and human activities such as coastal resource extraction and infrastructure development. Using Sentinel-2 imagery and geospatial technology, this study seeks to examine the changes in the coastline in the coastal areas of Lais, Air Besi, and Air Napal Districts, North Bengkulu Regency. The approach used includes image processing with geometric correction, Normalized Difference Water Index (NDWI), coastline digitization, and accuracy testing using a fusion matrix. The results of the analysis show that between 2019 and 2024 there will be considerable changes in the coastline, with an average erosion rate of 1,71 Meters per year. Some areas, such as Pasar Bembah 2.39 meters per year, Pal-30 2,182 meters per year, and Air Padang Village 3,293 meters per year, have experienced significant erosion. Air Padang Village is among the areas most affected by abrasion. Limiting human activities in areas prone to abrasion, planting coastal vegetation, and building sea walls are important strategies that can be used to reduce the impact of abrasion and shoreline changes.
Feasibility Design: Case Study of Rooftop PV System for Pharmaceutical Company Iskandar, Handoko Rusiana; Fuadiyyah, Siti Syamroatul
Jurnal Teknologi Vol. 17 No. 2 (2025): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.17.2.101-114

Abstract

According to 2019 data, solar energy represents the most significant potential for renewable energy (RE), totalling 207.8 GW. This has propelled the use of solar renewable energy across all industrial sectors, emphasizing ecologically sustainable energy derived from photovoltaic (PV) technology. This context has propelled the design and empirical evaluation of a grid tied rooftop PV system for the load of an Air Handling Unit (AHU) at a corporation. This study delineates various PV roof-top design methodologies, encompassing K2 base system simulation, solar energy potential (kWh/m2/day), available area, component generation capacity, and an analysis of the Levelized Cost of Energy (LCOE), Net Present Cost (NPC), and PV contributions to the RE and PLN grid sources utilizing Homer software. The modelling and analytical results produced an average solar energy of 4.81 kW/m²/day. The usable area encompasses 3,140 m², accommodating 1,324 panels capable of producing 52.6 kWp of energy to meet the existing electricity demand of 5,808 kW/day. The total energy produced is 756,389 kWh, with a renewable share of 33.5%. The NPC value is Rp43,680,200,000.00, the LCOE is Rp1,050.30, the reduction value is 5.8%, and the running cost is Rp2,013,450,000. In contrast to the electricity provided by Grid at 2,119,920 kWh/year, the PV contribution is 1,502,835 kWh/year, resulting in a 29% reduction in emissions.
The Effect of Bentonite Activation and Its Application on Reducing Metal Ions Levels in Wastewater Estiarny, Resfy Ella; Agustina, Tuty Emilia; Sari, Tuti Indah; Gayatri, Rianyza
Jurnal Teknologi Vol. 17 No. 2 (2025): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.17.2.115-122

Abstract

Heavy metal pollution such as Cu²⁺, Fe³⁺, and Pb²⁺ metal ions resulting from industrial and laboratory activities has become a serious environmental issue due to their toxic and bio-accumulative nature. This study aims to evaluate the adsorption effectiveness of natural bentonite and bentonite activated chemically with H₂SO₄ followed by thermal treatment at 300 °C. The activation process was intended to enhance surface area, porosity, and the number of active sites on the bentonite surface. Adsorption experiments were conducted using synthetic wastewater containing Cu, Fe, and Pb metal ions with varying adsorbent masses (1–5 grams), and surface morphology characterization was performed using SEM-EDX. Results showed that acid-thermal activated bentonite had a more porous and fragmented surface structure compared to natural bentonite, contributing to higher adsorption efficiency. At an adsorbent mass of 5 g, Pb removal reached 92.5% with acid-thermal activated bentonite, whereas natural bentonite achieved only 85.5%. Additionally, the removal efficiency of Fe³⁺ and Cu²⁺ ions also significantly increased after activation. These findings indicate that chemical and thermal activation synergistically enhance the performance of bentonite as an effective adsorbent for treating hazardous wastewater containing heavy metals.
Energy Production Forecasting For Optimizing Solar Power Plant Capacity Using Random Forest Arin Candra Nur Hidayah; Samsurizal Samsurizal; Hanin Aulia Mahmudah
Jurnal Teknologi Vol. 18 No. 2 (2026): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.18.2.113-122

Abstract

Planning the capacity and predicting the energy production of rural solar power plants requires a reliable approach because the system output is highly influenced by weather variability, while field monitoring data is often limited. The need for reliable electricity in rural areas remains a challenge, especially when the electricity load must be met continuously but the network infrastructure is not yet fully optimized. This study proposes a hybrid pipeline to estimate performance and capacity needs using NASA POWER DAV hourly meteorological data (2019–2024) for Surokonto Wetan Village, Kendal Regency, Indonesia. Stage 1 applies PVLib physics-based simulation (PVWatts with the SAPM temperature model) to generate hourly AC power and energy, then adjusts estimates with a Performance Ratio (PR)=0.80 to represent aggregate system losses. Stage 2 trains a fast prediction model using Random Forest Regression with meteorological and temporal features (GHI, DNI, DHI, air temperature, humidity, month, hour, and lag-1) and compares it with persistence and climatology baselines. The results show that for a requirement of 200 kWh/day, the required solar power plant capacity is 103.66 kWp (P10+margin). In hourly energy prediction, Random Forest showed the best performance with R²=0.9968 in daylight-only evaluation where GHI>0, far exceeding the persistence baseline (R²=0.7298) and climatology (R²=0.8611). These findings indicate that the combination of PVLib and Random Forest based on NASA POWER DAV data can support rapid and measurable estimation of potential, conservative capacity planning, and prediction of rural solar power plant production.
Forecasting the Export Volume of Indonesia’s Cut Flowers to The Southeast Asian Market Using the SARIMA Model Zelania In Haryanto; Sayyidah Maulidatul Afraah; Lorenta In Haryanto; Khalisa Aurelia Listyafaiza
Jurnal Teknologi Vol. 18 No. 2 (2026): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.18.2.101-112

Abstract

Indonesia exports many cut flowers to Southeast Asia, mainly to Thailand, Singapore, and Malaysia. However, export amounts fluctuate significantly due to the seasons, weather, and local customs, making it difficult for both producers and decision-makers to predict trends. This study predicts Indonesia’s cut flower exports using the SARIMA method, which helps identify repeating patterns in monthly export data. We used export numbers from April 2018 to August 2024, analyzed with Python, and split the data into a training set (80 percent) and a test set (20 percent). We chose the model’s settings based on patterns found in the data, with the best setup picked using a method called grid search, which aims for the lowest AIC value. The top model was SARIMA(1,0,1)×(2,0,2,12), with an AIC of 876.08. Measures of accuracy showed that SARIMA predicted better than ARIMA(0,1,1), with a MAPE of 0.30 and a MAE of 13.31. These results show SARIMA can effectively handle seasonal changes and make export predictions more reliable. This helps make better plans and policies for flower exports, and can strengthen Indonesia’s position in the market Keywords: Cut flower export, SARIMA, time series forecasting, ARIMA
Experimental Co-Pyrolysis of Polyethylene Cable Waste and LDPE Plastic: A Community-Scale Pyrolysis Machine in Yogyakarta Seno Adi Prayitno; La Ode M. Firman; Dimas Bagus Wijanarko
Jurnal Teknologi Vol. 18 No. 2 (2026): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.18.2.123-130

Abstract

The growing volume of plastic and electronic waste poses serious environmental challenges, particularly at the community level. Polyethylene (PE) cable sheath waste is commonly discarded after copper extraction, while Low-Density Polyethylene (LDPE) from household sources contributes significantly to non-biodegradable waste streams. This study investigates the co-pyrolysis of PE cable waste and LDPE plastic using a community-scale pyrolysis machine at the Go Green Waste Bank in Yogyakarta, Indonesia. Experiments were conducted with three PE:LDPE feed ratios — 3:1, 1:1, and 1:3 — to evaluate the effect of feedstock composition on product yield and quality. The resulting pyrolysis oil was characterized for its physical and chemical properties. Results showed that the oil density ranged from 785.1 to 796.5 kg/m³ at 15°C, kinematic viscosity from 2.025 to 2.489 cSt at 40°C, and heating value from 45.797 to 46.014 MJ/kg. Sulfur content was low at less than 17 mg/kg, cetane number below 20.6, and flash point below 0°C, indicating predominance of light-to-medium hydrocarbon fractions. FTIR analysis confirmed hydrocarbon functional groups consistent with thermal polymer degradation. Among all ratios, the 1:3 PE:LDPE ratio produced oil with physical properties and thermal stability closest to conventional fuel. Although the oil does not directly meet diesel specifications, it shows strong potential as a blending fuel with diesel at 10–20%. Field application tests on a diesel-powered tractor demonstrated no significant operational issues. Solid residues were also repurposed as value-added community products, supporting sustainable zero-waste management. Keywords: Co-pyrolysis; Polyethylene cable waste; Low-density polyethylene (LDPE); Pyrolysis oil; Community-scale reactor; Waste-to-energy.
Trophic Status Assessment of Sutami Reservoir Based on Physical and Chemical Water Quality Parameters Tika Kumala Sari; Berliana Widya Sari; Shava Dayyana
Jurnal Teknologi Vol. 18 No. 1 (2026): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.18.1.81-86

Abstract

Sutami Reservoir is a multipurpose reservoir located in Malang Regency, Indonesia, which functions as a source of hydropower, fisheries, and domestic water supply. Increasing anthropogenic activities around the reservoir have the potential to affect its water quality and fertility status. This study aimed to assess the trophic status of Sutami Reservoir using the Trophic State Index (TSI) method based on physical and chemical parameters. Water quality sampling was conducted twice in January 2025 at three locations (upstream, middle, and downstream) with varying depths. The parameters analyzed included water temperature, brightness (Secchi disk), pH, total phosphate (PO₄), and chlorophyll-a. The trophic status was determined using Carlson’s TSI, which integrates Secchi disk depth, total phosphate, and chlorophyll-a concentrations. The results showed that the average TSI values ranged from 19.21 to 28.72, indicating oligotrophic conditions, while the middle section of the reservoir at a depth of 0.3 m exhibited a mesotrophic status with a TSI value of 41.09. These findings suggest that Sutami Reservoir generally has low nutrient levels, although localized nutrient enrichment occurs in certain areas, likely influenced by fish farming activities and aquatic vegetation. Continuous monitoring and appropriate management strategies are required to prevent further deterioration of water quality.
Design and Implementation of Website-Based Contract Management Information System Fadlur Rahman Fa’iq; Elah Nurlelah; Taufiqurrochman
Jurnal Teknologi Vol. 18 No. 1 (2026): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.18.1.93-100

Abstract

Kontrakan are a type of residential rental business often managed independently by property owners. The management process is frequently still done manually, such as recording tenant data, payment transactions, and room promotion, which risks data loss and recording errors. This research aims to design and implement a website-based boarding house management information system to assist owners in managing tenant data, payment transactions, recording and reporting expenses, and providing real-time information to prospective tenants. The system development method uses the waterfall model, which includes requirements analysis, design, implementation, testing, and maintenance. The system is developed with the Laravel framework and the MySQL database. The implementation results show that this system can increase operational efficiency, simplify recording and reporting, and provide convenience for tenants to access information and transaction history independently.
The Effect of Sedimentation Cleaning in The Tailrace on Improving The Reliability of The Ampelgading Hydroelectric Power Plant Istianto Budhi Rahardja; Ahmad Rizqy Alviyan; Bambang Setiadi
Jurnal Teknologi Vol. 18 No. 1 (2026): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.18.1.87-92

Abstract

Optimizing water resource management is crucial for improving the efficiency of hydroelectric power plants (HEPP), especially at the Ampelgading HEPP, which is one of the electricity suppliers in Malang Regency. One of the problems in HEPP operations is sedimentation in the cooling water system, which can cause disruptions to the generating units and increase maintenance costs. To improve the operational performance of the Ampelgading HEPP and reduce sedimentation in the tailrace, this study focused on the application of a special sand pump. The results showed that the drainage method using a sand pump was more effective than the manual method, as sedimentation drainage could be carried out without stopping the generating units. By reducing sedimentation levels, increasing pressure in the cooling system, and lowering bearing temperatures, the application of this tool demonstrated improved efficiency. This is demonstrated by an increase in electricity production. In November, production increased from 28.97 GWh to 31.64 GWh, in December from 33.88 GWh to 34.08 GWh, and in January from 37.63 GWh to 38.89 GWh. Therefore, maximizing sedimentation drainage through sand pumps helps maintain the sustainability of the Ampelgading hydroelectric power plant's operations.
Strategy for Increasing Competitiveness Based on Evaluation of Service Quality, Brand Image, Satisfaction, and Customer Loyalty in the Fresh Milk Beverage Shop Culinary Business Risma Fitriani; Ade Momon Subagyo; Muhammad Rusli Arafat; Ghema Rivana
Jurnal Teknologi Vol. 18 No. 1 (2026): Jurnal Teknologi
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.18.1.69-80

Abstract

The competition in the culinary industry has intensified, particularly among beverage shops offering fresh milk–based products. In this highly competitive environment, customers no longer evaluate products based solely on taste but also on the quality of service, the strength of the brand image, and the consistency of their overall experience. Field observations indicate ongoing issues, such as inconsistent service quality, a brand image that has not been strongly established, and varied levels of customer satisfaction all of which ultimately affect customer loyalty. These challenges highlight the need for data-driven strategies to strengthen business competitiveness. This study aims to analyze the influence of Service Quality, Brand Image, and Customer Satisfaction on Customer Loyalty, and to formulate the most appropriate strategy to enhance competitiveness in fresh milk beverage shops. A descriptive quantitative approach was applied by integrating the Analytical Hierarchy Process (AHP) to determine variable priorities and the Quantitative Strategic Planning Matrix (QSPM) to identify the most effective strategic alternatives. Data were collected through direct observation of service activities, interviews with the business owner, and questionnaires distributed to customers with prior purchase experience. Results indicate that service quality holds the highest weight in shaping customer loyalty, followed by brand image and customer satisfaction. Through QSPM analysis, the recommended priority strategies include strengthening service standards, enhancing brand identity through more effective communication, and developing customer loyalty programs to maintain long-term relationships. These findings provide a strategic foundation for fresh milk culinary businesses to adapt to competition and evolving customer preferences, ensuring sustainable growth and improved market positioning.

Page 31 of 32 | Total Record : 318

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