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Alfian Qomaruddin
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Universitas Trunojoyo Madura Jl. Raya Telang - Kamal, Bangkalan Kode Pos 69162
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REKAYASA
Published by Universitas Trunojoyo Madura
ISSN : 02169495     EISSN : 25025325     DOI : https://doi.org/10.21107/rekayasa
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Computer Science & IT Electrical & Electronics Engineering Engineering Physics
This journal encompasses original research articles, review articles, and short communications, including: Science and Technology, In the the next year publication, Rekayasa will publish in two times issues: April and Oktober.
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Articles 17 Documents
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Search results for , issue "Vol 17, No 3: Desember, 2024" : 17 Documents clear
Pengukuran Topografi Ketinggian: Studi Kasus Menggunakan Metode Real-Time Kinematic (RTK) GPS Geodetik R6 Prayogo, Luhur Moekti; Muhsoni, Firman Farid
Rekayasa Vol 17, No 3: Desember, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i3.27337

Abstract

Large-scale topographic information is often difficult to obtain accurately. Technological advances in the field of surveying provide sophisticated instruments with varying degrees of accuracy. One of the widely used instruments is the Global Positioning System (GPS) Geodetic R6, which has an accuracy of up to 5-10 mm and the ability to capture L1 and L2 signals. This research aims to conduct altitude topography mapping using GPS Geodetic R6 in the coastal area of Kamal, Bangkalan Regency, Madura. The method used is Real-Time Kinematic (RTK) with a configuration of two base stations. The first base is located at Trunojoyo University Park Madura (coordinates: S 7°07'44.99587“, E 112°43'23.81230”, elevation: 6.81 meters), while the second base is located in front of Jalan Raya Telang Church (coordinates: S 7°07'46.65292“, E 112°42'46.91250”, elevation: 3.40 meters). The measurement results show that the average elevation in Telang Village, Kamal District, ranges from 3.29 to 7.89 meters with a Root Mean Square Error (RMSE) of 3.65. This research confirms that the R6 Geodetic GPS has high accuracy capabilities in topographic measurements, making it very reliable for precision mapping of coastal areas. This finding makes a significant contribution in supporting various development and mitigation needs in coastal areas.
Pengaruh Perbandingan Rasio Tepung Kentang dan Tepung Tapioka Serta Penambahan Bubuk Daun Kersen (Muntingia calabura) Pada Mie Basah Non Gluten Handayani, Anna Mardiana; Citra Kusumasari, Findi; Setyowati, Lisus; Nurul Satya, Malinda Capri
Rekayasa Vol 17, No 3: Desember, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i3.27254

Abstract

This study aims to determine the effect of the ratio of potato flour and tapioca flour and addition of kersen leaves powder on gluten-free wet noodles with a focus on proximate levels (water, ash, protein, fat, and carbohydrate content by different) and antioxidant activity (DPPH method). The research design used was a RAK with two factors. The first factor was the ratio of potato flour and tapioca flour and the secondly was the variation of kersen leaves concentration, which consist of 3 treatment levels respectively, so it’s obtained 9 samples with 2 replications. The data were processed using the ANOVA test and if there was a significant difference, then continue with the DMRT test (significance level 5%). The results showed that the effect of the ratio of potato flour and tapioca flour had an effect on increasing water content, protein content and reducing on carbohydrate content while ash content and fat content did not have a significant effect. Non-gluten wet noodles had antioxidant activity of around 36.2-52.5%. The increased of the concentration of kersen leaves powder so the antioxidant activity as well as increased. Further research is still needed to examine the potential of our functional food products such as antidiabetic and antihypercholesterol using in vivo studies. Also, the isolation of bioactive components of kersen leaves using nanotechnology to make them easier to be absorbed by the body.
Karakterisasi Enam Galur Melon Daging Orange (Cucumis melo L.) di PT. Aditya Sentana Agro Maghfirani, Siti Faizzatul; Tripatmasari, Mustika; Wijaya, Wakhyono
Rekayasa Vol 17, No 3: Desember, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i3.28397

Abstract

Efforts are made to produce superior seeds and pest and disease resistance through variety assembly. Characterization produces information that is used in planning the creation of melon plants as desired. This study aims to determine the characteristics of six strains of orange flesh melon and determine the kinship relationship of six melon strains. This research was conducted in August-November 2024. This study used a non-factorial Randomized Group Design, with 6 treatments (strains 33, 51, 52, 53, 54, and 55) repeated 3 times. Qualitative data were analyzed in the form of descriptions referring to IPGRI descriptor guidelines (2003). Quantitative data were analyzed by ANOVA, if the results of the analysis were significantly different then further tested using DMRT at the 5% level. The character of leaf shape and leaf color in 6 strains is entire and colored Greyis Olive Green 137 A. The character of male and hermaphrodite flower crown color in G33, G51, G52, G54, and G55 is Vivid Yellow 12 A, G53 is Vivid Yellow 9 A. The character of fruit shape of G33, G51, G52, G53, and G54 is elliptical, while G55 is round. The color of the fruit flesh of G51, G53, and G55 is Strong Orange 25 B. The lowest percentage of senescence was observed in G54 (16.7%). G33, G51, G52, and G54 are closely related with a coefficient value of 83%.
Plastic Waste Identification using ResNet-50: A Deep Learning Approach Bakti, Akmal Nusa; Shabrina, Nabila Husna
Rekayasa Vol 17, No 3: Desember, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i3.26456

Abstract

Plastic waste is a significant environmental concern, constituting a major portion of the global waste stream. Improper disposal and accumulation have led to severe environmental challenges, including pollution, harm to marine life, and contributions to climate change. Effective waste management strategies are essential to mitigate these issues. However, manual sorting methods are both time-consuming and costly, requiring substantial human effort and financial investment. To address these limitations, automated solutions utilizing advanced technologies like artificial intelligence have gained increasing attention. Deep learning-based method can automatically identify and classify various types of plastic waste using computer-captured image patterns. This study explores the application of ResNet50, a state-of-the-art deep learning model, for the classification of plastic and non-plastic waste. A robust dataset comprising 4,000 diverse images of waste materials was employed for model training and validation. ResNet50, with its advanced architecture designed for image recognition tasks, demonstrated exceptional performance, achieving an accuracy, precision, recall, and F1-score of 0.99. These results highlight the model’s ability to precisely and reliably differentiate between plastic and non-plastic waste categories. The findings of this research underscore the potential of deep learning-based approaches in revolutionizing waste management practices. By leveraging automated classification methods, waste sorting can become significantly faster, more accurate, and cost-effective. This has far-reaching implications reducing environmental harm and fostering a more sustainable future. The results demonstrate that integrating AI technologies into waste management systems can lead to efficient and environmentally friendly solutions for tackling plastic waste challenges.
Analisis Penyebab Keterlambatan Proyek Konstruksi Transmisi dan Gardu Induk: Studi Kasus Unit Induk Pembangunan Jawa Bagian Timur dan Bali (UIP JBTB) Prawidhana, Denta; Dinariyana, AAB
Rekayasa Vol 17, No 3: Desember, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i3.28014

Abstract

As many as 87.63% of PT PLN (Persero) UIP JBTB Transmission and Substation construction projects in the 2010-2023 range experienced delays. The purpose of this study is to determine the main factors that contribute to project delays from the perceptions of internal, supervision consultants, and contractors and provide suggestions to Management to minimize potential losses due to delays in project completion in the future. The methods used in this research are literature study, data collection through survey, data analysis, and conclusion. Data analysis is done quantitatively using Frequency Index and Relative Importance Index, Independent T Test, Cartesian Diagram, and 5 Why's. The results of this study indicate that there are 5 most influential variables in delays, namely delays in land acquisition, community social conflicts, labor shortages, delays in submitting drawings, and cash flow difficulties. Strategic steps to overcome delays in project completion are to select prospective land for transmission and substation construction projects on undisputed land, create a project security MoU by involving security forces either TNI or Polri, create a smoother financial flow system, create an easy and effective payment system in the project, and monitor the administrative process and create an easier and safer document management system.
Efek Giberelin (GA3) Terhadap Perkecambahan dan Pertumbuhan Cabai Rawit (Capsicum frustescens L.) Syafii, Mohammad; Mawarda, Revina Ade; Umam, Choirul
Rekayasa Vol 17, No 3: Desember, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i3.27902

Abstract

Chilli pepper (Capsicum frutescens L) is an important horticulture in Indonesia. High demand often did not meet the production. One of the leading factors is the quality and bad seed conditions, which affect plant growth and production. This research was conducted from February to May 2024 in the research field and laboratory of Plant Breeding and Biotechnology, Agroecotechnology Study Program, Faculty of Agriculture, University of Trunojoyo Madura. The research aim was to determine the effect of gibberellin concentrations and varieties on the germination and plant growth of chili peppers. Factorial randomized Block Design (RBD) was used in this research with gibberellin as the first factor G0 (0 ppm), G1 (1.07 ppm), G2 (1.10 ppm), G3 (1.23 PPM), and the second factor was varieties including V1 (Bhaskara), V2 (Master), V3 (Viral). The data obtained from this experiment was analyzed with analysis of variance (ANOVA) at a 5% level of confidence, and if there were significant differences, the Duncan multiple range test (DMRT) was performed. This experiment showed that G0 and V1 had the best responses to germination and plant growth compared to the other treatments. Furthermore, this showed that gibberellin, the range of treatments, is still ineffective in increasing the germination ability and the growth of chili peppers.
Karakteristik dan Pengaruh Proses Sterilisasi terhadap Mutu Fisik Produk Lauk Berkuah dalam Kemasan Retort Pouch: Tinjauan Sistematis Budi, Faleh Setia; Fadhillah, Azzam Akbar; Kusumaningrum, Harsi Dewantari
Rekayasa Vol 17, No 3: Desember, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i3.26978

Abstract

The development of ready-to-eat side dish products with gravy in retort pouches is based on the public's desire for quick, portable, and stable food options. This research aimed to examine the sterilization processes of side dish products with gravy in retort pouches, characterize these processes, and assess the influence of retort type on parameters of sterilization process and physical quality. The study was conducted via a literature review using specific keywords in journal search engines, resulting in secondary data from 10 articles covering 11 products and 26 sterilization processes. The products included 64% curry and other side dishes such as oil-based, masala, braised, and soup. Air-steam retort demonstrated superior heat penetration compared to water immersion retorts. The literature indicated that the sterilization process (commercial sterilization) typically used temperatures equivalent to 121℃ for 200–300 grams, with an F0 value exceeding the standard minimum of 3 minutes. Notable physical quality changes included a browner colour in curry products and improvements such as reduced stickiness in chicken curry mousse and a softer texture in curry.
Keanekaragaman dan Pemanfaatan Makroalga di Perairan Pulau Rumadan Dullah Utara Kota Tual Silaban, Rosita; Josephs Souisa, Fabian Novy; Dobo, Johny; Watubun, Sarifa; Sudirjo, Fien; Thedora Silubun, Dortje
Rekayasa Vol 17, No 3: Desember, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i3.27255

Abstract

Macroalgae serve as the foundation of the aquatic food chain, significantly contributing to primary productivity in coastal waters, acting as indicators of aquatic ecosystem health, and can be utilized as food, traditional medicine, and industrial raw materials. This research aims to analyze density, biomass, ecological index, and vitamin C content. Macroalgae samples were collected using the square line transect method. The macroalgae found on Rumadan Island consist of 35 species classified into 3 divisions, 3 classes, 10 orders, 18 families, and 20 genera. The group of green algae (Chlorophyta) consists of 12 species, the group of brown algae (Ochrophyta) consists of 7 species, and the group of red algae (Rhodophyta) consists of 16 species. The environmental parameters on Rumadan Island can be tolerated for the survival of macroalgae. The highest density of the species Ulva lactuca is 9.3 ind/m2, while the lowest density is of the species Halimeda micronesica at 0.9 ind/m2. The highest biomass is found in the species Galaxaura fastigiata (73.3 gr/m2) and Ulva lactuca (68 gr/m2), while the lowest is in Chaetomorpa crassa (1.8 gr/m2). A diversity index of 2.87 is categorized as moderate, a uniformity index of 0.807 is categorized as high, and dominance of 0.097 is categorized as low/stable. The vitamin C content in several species of macroalgae on Rumadan Island is quite high, ranging from 1,232 to 5,280 mg/g.
Design and Development of Drug Formulation Classification Information System Setiawan, Retno Agus; Al-Hakim, Rosyid Ridlo; Trivilia, Indah; Juniarti, Ulan
Rekayasa Vol 17, No 3: Desember, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i3.28018

Abstract

The increasing complexity of pharmaceutical management in pharmacies demands efficient systems to streamline drug classification and inventory control. As pharmacies handle a diverse range of formulations, including tablets, syrups, and injectables, the need for advanced systems that ensure accuracy, efficiency, and compliance is becoming increasingly evident. This study focuses on the design and development of a web-based Drug Formulation Classification Information System, specifically tailored to improve the management of drug formulations. The system was developed using a Rapid Application Development (RAD) approach with a focus on user-centered design, prioritizing the needs and experiences of end-users, particularly pharmacists and administrators. Core functionalities incorporated into the system include real-time inventory updates, advanced drug search and classification, and automated report generation to simplify daily operations. To evaluate system performance and user experience, usability testing was conducted with pharmacists from UHB Educational Pharmacy. Results indicated a high user satisfaction rate, with 85% of participants finding the system intuitive and easy to use. The system’s architecture features a clear and intuitive user interface that minimizes the learning curve, ensuring that both experienced and novice users can navigate the platform efficiently with minimal training. Feedback from testing aligned with the Technology Acceptance Model (TAM), emphasizing the importance of perceived ease of use and usefulness in driving system adoption and user satisfaction. This research contributes to the growing field of pharmacy informatics by offering a scalable, adaptable solution for pharmacy management, with potential for integration into larger healthcare systems. Future enhancements will focus on integrating predictive analytics and extending system capabilities to further support pharmaceutical operations and patient care.
Kepuasan Kerja Karyawan di Rumah Sakit : Review Masalah dan Prospek di Era Digital Nugroho, Sukmo Hadi; Gunawan, Kazan
Rekayasa Vol 17, No 3: Desember, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i3.27912

Abstract

Measuring employee job satisfaction in hospitals in the digital era shows that digital technologies, such as online survey platforms, mobile applications, and data analytics, have increased the efficiency of data collection and analysis. These technologies enable faster, more accurate, and more personalized job satisfaction assessments, helping management better understand employee conditions and respond to their needs effectively. However, major challenges arise related to employee data privacy, limited digital infrastructure in certain hospitals, and resistance from some employees who are less familiar with digital technology. These factors can affect the quality of the data obtained and employee trust in digital-based assessment systems. Recommendations for hospital management include developing flexible assessment systems, investing in digital training for employees, and ensuring data security and transparency in its use to build trust. These steps can help improve overall job satisfaction and retain quality healthcare workers amidst the challenges of the digital era.

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