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Alfian Qomaruddin
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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.
Arjuna Subject : -
Articles 517 Documents
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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.
Pengaruh Campuran Jenis ZPT Alami dan Lama Perendaman Terhadap Perkecambahan Benih Pinang (Areca Catechu L.) Sulhijah, Sulhijah; Syukri, Syukri; Saputra, Iwan; Ridha, Rizky
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.v17i3.26604

Abstract

In providing areca seeds, there is an obstacle that often arises, namely the nature of dormancy so that it takes only a little time to germinate. This condition can be overcome by administering natural ZPT such as young coconut water, shallots, bamboo shoots and banana stems. The aim of the research was to determine the ability of a mixture of natural PGR types and soaking time to stimulate the germination of areca nut seeds. The research was conducted from June to August 2023, the experimental design was RAK factorial pattern consisting of 2 factors: The first factor was a mixture of natural PGR, Coconut Water (AK), Shallot Extract (BM), Banana Weevil Extract (BP), and Bamboo Shoot Extract ( RB) with a composition of 5 levels, namely: Z0: Air (control); Z1 : AK + BP; Z2 : BM + AK + RB; Z3 : RB + BP + BM; Z4 : AK + BM + BP + RB. The second factor of soaking time consists of 3 levels, namely: L1: 18 hours; L2: 24 hours; L3 : 30 hours. The research results showed that the treatment of a mixture of natural PGR types had a very significant effect on the vigor index and root length. The long soaking treatment had a very significant effect on the length of the tuna, but had a significant effect on the germination time and speed of seed growth. There was no interaction between the two treatments. The best natural PGR mixture is recommended to use Z2, Z3 and Z4 treatment with L2 soaking time
Dinamika Pasang Surut dan Kualitas Perairan Sungai Tabanio Kabupaten Tanah Laut Kalimantan Selatan Sofarini, Dini; Yunandar, Yunandar; Asmawi, Suhaili; Dharmaji, Deddy; Rahim, Nur Fadhilah; Syahnakri, Erwan; Apriansyah, Farhan
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.v17i3.28171

Abstract

The tidal dynamics of water affect not only the layers on the surface of the seas but also the entire water mass. The Tabanio River is a tidal-influenced water area with the highest utilisation level in Tanah Laut. Water quality at the estuaries of Tabanio and Panjaratan River is affected by various human activities, such as fishing, plantations, transportation, and waste disposal. This study aims to compare water quality at high and low tides and test the relationship between tidal changes and fluctuations in water quality parameters in both locations. The data used are the results of measurements on July 3 and July 22, 2024, during high and low tide conditions. The relationship between water quality values and tides was analyzed descriptively, then compared with water quality standards according to Government Regulation of the Republic of Indonesia Number 22 of 2021 class 1 and continued with the ANOVA test. Low tide conditions bring to increase in the parameters of conductivity, current, temperature, pH, salinity, and TDS at all locations, while turbidity is only in the estuary. Tidal conditions influence oxygen deficits in all sites, while nitrite and nitrate tend to increase. TSS parameters exceed quality standards in Panjaratan, while Cu and COD exceed quality standards in Tabanio. 
Pond Water Quality Monitoring in Consumption Fish Farming Industry Based on Internet of Things Subrata, Arsyad Cahya; Sulisworo, Dwi; Fitrianawati, Meita; Shafee Kalid, Khairul; Wan Ahmad, Wan Fatimah; Hamdi Batubara, Zul; Ramadhani, Muhammad
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.v17i3.25428

Abstract

The rapid increase in population in Indonesia has increased the demand for animal protein. As a source of animal protein, fish has excellent potential to be developed in Indonesia. However, care for water quality, a basic need, is often ignored. Meanwhile, increasing fish production can be done by ensuring that water quality is always in good condition. This research conducted aims to monitor water quality continuously. Integrating water quality monitoring systems using the Internet of Things (IoT) offers convenience in real-time monitoring and does not have to be present on-site. The parameters determining fish water quality are pH, electrical conductivity (EC), dissolved oxygen (DO), turbidity, and water temperature. The data obtained is then displayed on the Water Monitoring dashboard as graphs, indicators, and raw data the user can download. Overall, the system can measure, monitor in real-time, and store data on the results of measuring the quality of freshwater fish ponds on smartphones/laptops. The developed system also provides information on whether the water quality is “normal” or in conditions less and more than the threshold. Therefore, the developed system helps farmers monitor the quality of their fish ponds to increase the productivity of fish farming.
Analisis Kesesuaian dan Daya Dukung Kawasan Wisata Selam dan Snorkeling di Pantai Jemeluk, Karangasem, Bali Hadiyanti, Alfi Rizki; Wiyanto, Dwi Budi; Darmendra, I Putu Yogi
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.v17i3.27498

Abstract

The abundant biodiversity at Jemeluk Beach does not guarantee that all marine tourism activities and activities do not damage and have a negative impact on the environment. The tourism potential of Jemeluk Beach is the existence of coral reefs and many types of reef fish so that it is suitable to be used as marine tourism, one of which is diving and snorkeling. This research aims to analyze the suitability index and carrying capacity of diving and snorkeling tourism at Jemeluk Beach in order to become a well-managed tourist attraction and develop in the sustainability corridor. The analysis used in this research is the analysis of the suitability and carrying capacity of the area, namely by comparing the characteristics and quality of land against land use requirements for certain tourism activities while still paying attention to the capacity of the area to accommodate tourism activities in order to maintain environmental sustainability and natural preservation. The method of measuring coral reefs using the UPT (Underwater Photo Transect) method which is based on the shape of coral growth. Measurement of the type and number of reef fish was studied using the UVC (Underwater Visual Census) method by taking data along 50 meters at the same depth as the data collection of coral reef cover. The condition of the suitability of diving tourism at points I, II and III has the same value of 1.6 and is classified as unsuitable. In contrast to diving tourism, the condition of the suitability of snorkeling tourism at points I and II has the same value of 2.1 and is classified as suitable category, while point III has a value of 2.48 and is classified as suitable category to be used as an object of marine tourism development. The results of the calculation of the carrying capacity of the area for diving tourism that can be accommodated as many as 404 people/day while snorkeling tourism is 31 people/day.
Refining Used Cooking Oil Using Tapioca Starch (Manihot esculenta) and Lime (Citrus aurantifolia) Hadiah, Fitri; Alisya, Rona; Fitriyani, Della
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.v17i3.27560

Abstract

Used cooking oil is cooking oil that has been used multiple times, leading to decreased in quality. This decline in quality occurs due to the degradation of the cooking oil's components. The community, especially traders, prefers to use used cooking oil or reuse cooking oil multiple times because it is more profitable than using fresh cooking oil. Using this used cooking oil can cause cholesterol issues in the body. This research aims to refine used cooking oil using carbon-rich tapioca starch and antioxidant-rich lime which is expected to restore the quality of used cooking oil. This research uses the experimental method by varying the mass of the adsorbent, specifically the ratio of tapioca starch mass at 5%, 10%, and 15%, and the lime mass ratio at 5%, 10%, 15%, and 20%. The used cooking oil refining process was conducted by mixing used cooking oil and adsorbents for one hour at a speed of 200 rpm and then allowed to stand for 2 days. This research aims to study the effect of the amount of tapioca starch and lime as adsorbents on the viscosity, density, and acid number of refined used cooking oil. The optimal use of adsorbent is 20% tapioca starch and 10% lime, resulting in a density of 0.9760 g/cm³, viscosity of 18.9452, and an acid number of 2.8719 mg KOH/gram oil.
Air Temperature Prediction System Using Long Short-Term Memory Algorithm Faulina, Ria; Nuramaliyah, Nuramaliyah; Safitri, Emeylia
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.v17i3.28229

Abstract

Air temperature is a highly essential parameter in weather forecasting methods and a critical variable for predicting future weather patterns. An accurate temperature prediction system can assist individuals and organizations in preparing for activities heavily influenced by weather conditions. Therefore, developing a precise temperature prediction model requires a reliable and effective algorithm. In this study, the Long Short-Term Memory (LSTM) algorithm, a type of artificial neural network (Recurrent Neural Network - RNN), is implemented with time series data decomposition for variable input processing. LSTM is specifically designed to handle sequential data or time series data, such as weather data. Additionally, LSTM-GRU and LSTM-Conv1D models are utilized. The dataset used in this research comprises air temperature data provided by the Meteorology, Climatology, and Geophysics Agency (BMKG) in the DKI Jakarta region. Model evaluation is conducted using criteria for the smallest Mean Absolute Error (MAE) and Root Mean Square Error (RMSE). Experiments show that the prediction system based on LSTM-GRU achieves the lowest MAE and RMSE values compared to LSTM and LSTM-Conv1D, across 10, 20, and 30-step predictions. It can be concluded that the LSTM-GRU algorithm provides the most accurate predictions compared to the LSTM and LSTM-Conv1D models for sequential temperature data, given sufficient data and a properly configured model. This is also graphically demonstrated by prediction results closely aligning with the actual data. 

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