bluuebunny/crossref_metadata_2025 huggingface dataset:
Modular intercalary prosthetic reconstruction for malignant and metastatic tumours of the proximal femur
Authors: Liu Lu , Deng Xiao-qiang , Zhao Yong-jie , Ma Rong-xing , Yang Li , Song Kun-xiu , Zhang Jing-yu , Hu Yong-cheng
Published: March 2024

To illustrate the surgical technique and explore clinical outcomes of the reconstruction for the malignant and metastatic bone tumour of proximal femur with metallic modular intercalary prosthesis. Sixteen patients who underwent modular intercalary prosthetic reconstruction after tumour resection were included from April 2012 and October 2020. Prosthesis and screws parameters, resected bone length and residual bone length, clinical outcomes and survivorship were analyzed. All patients were followed up for an average of 19 months (range 1–74). In our series, 12 patients died of the progression of the primary disease at the final follow-up. The cumulative survivorship since the treatment of proximal femoral metastasis was 78.6% (11 patients) at 6 months and 38.5% (5 patients) at 1 year. The mean MSTS score was 22.25 ± 4.55 among all patients. There were no cases of loosening or breakage of the prostheses, plates or screws, despite the various measurements of prostheses and residual bones. Modular intercalary prosthetic reconstruction was an effective method for malignant tumour of the proximal femur, including the advantages of providing early pain relief, quickly restoring postoperative function, required a short operation time, and preserving the adjacent joints.
P. aeruginosa CtpA protease adopts a novel activation mechanism to initiate the proteolytic process
Authors: Hsu Hao-Chi , Wang Michelle , Kovach Amanda , Darwin Andrew J , Li Huilin
Published: March 2024

During bacterial cell growth, hydrolases cleave peptide cross-links between strands of the peptidoglycan sacculus to allow new strand insertion. The Pseudomonas aeruginosa carboxyl-terminal processing protease (CTP) CtpA regulates some of these hydrolases by degrading them. CtpA assembles as an inactive hexamer composed of a trimer-of-dimers, but its lipoprotein binding partner LbcA activates CtpA by an unknown mechanism. Here, we report the cryo-EM structures of the CtpA–LbcA complex. LbcA has an N-terminal adaptor domain that binds to CtpA, and a C-terminal superhelical tetratricopeptide repeat domain. One LbcA molecule attaches to each of the three vertices of a CtpA hexamer. LbcA triggers relocation of the CtpA PDZ domain, remodeling of the substrate binding pocket, and realignment of the catalytic residues. Surprisingly, only one CtpA molecule in a CtpA dimer is activated upon LbcA binding. Also, a long loop from one CtpA dimer inserts into a neighboring dimer to facilitate the proteolytic activity. This work has revealed an activation mechanism for a bacterial CTP that is strikingly different from other CTPs that have been characterized structurally.
Lipidomics reveals new lipid-based lung adenocarcinoma early diagnosis model
Authors: Sun Ting , Chen Junge , Yang Fan , Zhang Gang , Chen Jiahao , Wang Xun , Zhang Jing
Published: March 2024

Lung adenocarcinoma (LUAD) continues to pose a significant mortality risk with a lack of dependable biomarkers for early noninvasive cancer detection. Here, we find that aberrant lipid metabolism is significantly enriched in lung cancer cells. Further, we identified four signature lipids highly associated with LUAD and developed a lipid signature-based scoring model (LSRscore). Evaluation of LSRscore in a discovery cohort reveals a robust predictive capability for LUAD (AUC: 0.972), a result further validated in an independent cohort (AUC: 0.92). We highlight one lipid signature biomarker, PE(18:0/18:1), consistently exhibiting altered levels both in cancer tissue and in plasma of LUAD patients, demonstrating significant predictive power for early-stage LUAD. Transcriptome analysis reveals an association between increased PE(18:0/18:1) levels and dysregulated glycerophospholipid metabolism, which consistently displays strong prognostic value across two LUAD cohorts. The combined utility of LSRscore and PE(18:0/18:1) holds promise for early-stage diagnosis and prognosis of LUAD.
Advanced portable micro-SORS prototype coupled with SERDS for heritage science
Authors: Lux A. , Realini M. , Botteon A. , Maiwald M. , Müller A. , Sumpf B. , Miliani C. , Matousek P. , Strobbia P. , Conti C.
Published: March 2024

Development of an advanced portable micro-SORS prototype combined with SERDS.
Charge carrier transport in PbS films doped with iodine
Authors: Maskaeva L. N. , Pozdin A. V. , Pavlova A. Yu. , Korkh Yu. V. , Kuznetsova T. V. , Voronin V. I. , Krivonosova K. E. , Charikova T. B. , Markov V. F.
Published: March 2024

The results of the measurements of electrical and Hall resistivities on polycrystalline PbS films doped with iodine obtained through hydrochemical deposition are presented.
An efficient Cd two-stage column system for high-precision determination of Cd isotopic compositions by double spike MC-ICP-MS
Authors: Zhang Zheyuan , Li Tao , Li Baichan , Lin Yibo , Li Gaojun , Chen Tianyu
Published: March 2024

The modified two-stage column chromatography system circumvents the potential P problem associated with TRU Spec resin.
High UV shielding and mechanical properties of shellac composite film for fruit packaging
Authors: Zhang Lingsu , Du Deyan , Dong Weifu , Kaneko Tatsuo , Zhang Hongji , Chen Mingqing , Shi Dongjian
Published: March 2024

We developed simple methods to prepare shellac composite films/coating with practical application value.
Dilute gel networks vs. clumpy gels in colloidal systems with a competition between repulsive and attractive interactions
Authors: Gimperlein M. , Immink Jasper N. , Schmiedeberg M.
Published: March 2024

Dilute and dense systems differ in the way structural properties emerge. Two regimes of percolation might be responsible for differences. Global and local structural properties give insights into these differences.
Multi-colour room-temperature phosphorescence from fused-ring compounds for dynamic anti-counterfeiting applications
Authors: He Tongyu , Pang Xueke , Jiang Airui , Zhang Jiawei , Feng Zhixia , Xu Wenxin , Song Bin , Cui Mingyue , He Yao
Published: March 2024

We present a facile strategy to achieve purely organic multi-colour room-temperature phosphorescence (RTP) films by doping typical fused-ring compounds into a poly(vinyl alcohol) matrix.
Metal-free radical bicyclization/chloroalkylarylation of 1,6-enynes with chloroalkanes
Authors: Zhou Hongxun , Li Lijun , Yan Qinqin , Ma Jinyue , Wang Ying , Gao Yongjun , Liu Zhong-Quan , Li Zejiang
Published: March 2024

A metal-free radical bicyclization of chloralkanes and 1,6-enynes produces various polychlorinated/chlorinated polyheterocycles.
Divergent synthesis of multi-substituted phenanthrenes via an internal redox reaction/ring expansion sequence
Authors: Koyama Ryosei , Anada Masahiro , Sueki Shunsuke , Makino Kosho , Kojima Tatsuhiro , Kawasaki-Takasuka Tomoko , Mori Keiji
Published: March 2024

Divergent synthesis of multi-substituted phenanthrenes based on an internal redox reaction/ring expansion sequence was achieved.
Near-infrared spectroscopy of H3O+⋯Xn (X = Ar, N2, and CO, n = 1–3)
Authors: Huang Qian-Rui , Yano Kazuyoshi , Yang Yaodi , Fujii Asuka , Kuo Jer-Lai
Published: March 2024

The OH stretching overtone region of micro-solvated hydronium ions was explored by NIR spectroscopy and anharmonic vibrational simulations.
Copper-based electrocatalyst for hydrogen evolution in water
Authors: Abudayyeh Abdullah M. , Bennington Michael S. , Hamonnet Johan , Marshall Aaron T. , Brooker Sally
Published: March 2024

Macrocyclic copper(II) complex 1 decomposes forming a robust, heterogeneous, electrocatalytically active deposit for hydrogen evolution from water.
Centrosymmetric to non-centrosymmetric transition in the Ca2−xMnxTi2O6 double perovskite system studied through structural analysis and dielectric properties
Authors: Albrecht Elisabeth K. , Siponkoski Tuomo , Rautama Eeva-Leena , Karppinen Maarit , Karttunen Antti J.
Published: March 2024

Ca2−xMnxTi2O6 double perovskite is synthetized with high-pressure methods and its centrosymmetric to non-centrosymmetric transition is studied in the range 0 ≤ x ≤ 1 to determine the optimal composition range for ferroelectric properties.
An effective strategy to construct α-MoO3//PPy toward high-energy-density asymmetric supercapacitors
Authors: Sun Min , Zhang Yu , Liang Zhijun , Zhang Rui , Zhang Kai , Lin Yanhong , Wang Dejun , Xie Tengfeng
Published: March 2024

Calibration: The assembled α-MoO3//PPy asymmetric supercapacitor aims to enhance its energy density without compromising its high power density.
High-performance QLED research based on direct photo-crosslinking of PEDOT:PSS
Authors: Zhang Kai , Fan Junpeng , Han Changfeng , Xu Rui , Nie Lintao , Sun Yuhan , Qian Lei , Xiang Chaoyu , Zhang Ting
Published: March 2024

By comparing the particle size of PH1000 and 4083, the problem of the HIL layer of QLED optical crosslinking was explained, and high performance QLEDs were prepared.
An External Dual Charge Approach to the Multimarginal Optimal Transport with Coulomb Cost
Authors: Lelotte Rodrigue
Published: March 2024

In this paper, we study the multimarginal optimal transport with Coulomb cost, also known in the physics literature as the Strictly-Correlated Electrons functional. We prove that the dual Kantorovich potential is an electrostatic potential induced by an external charge density, which we call the dual charge. We study its properties and use it to discretize the potential in one and three space dimensions.
Village Potential Analysis Based on the Developing Village Index Using the Fuzzy Logic Method (Case Study: Village in Cikampek District, Karawang District)
Authors: Purnamasari Intan , Dermawan Budi Arif
Published: March 2024

Village Potential or abbreviated Podes are social, economic, and ecological resources found in the Village, which can be developed to improve the welfare of the Village community. However, sometimes Podes are not aware of their existence in several villages in one sub-district, this is usually because the village community does not understand or even know how to develop and utilize the natural resources in the village, as well as manage human resources that can improve the standard of living of their people. Based on the statement above, the researcher intends to analyze and explore how the actual problems experienced by the Village and how big or strong the Village Potential is owned by several Villages in Cikampek District by using the Fuzzy Logic Approach. The Fuzzy Logic method will be used to identify problems that often occur in village development and find out the potential of villages in Cikampek District according to data released by BPS for Cikampek District in Figures 2018 and several criteria for Villages issued by IDM (2015). The fuzzy set created consists of 4 input variables, namely Natural Resources (SDA), Human Resources (HR), Institutions (KL), and Infrastructure (PSR), and 1 output variable, namely Village Potential (PD). According to IDM data for 2018, there are 10 villages in Cikampek District, 1 village that has the Low Village category, 2 Highest Villages, and 7 Medium Villages. However, the results of the analysis are applied and implemented in a fuzzy form. The results in each villageare potential quite good. Where the 10 villages in Cikampek District have the potential to be developed. This is because based on the results of interviews and filling out questionnaires, shows that on average 10 villages in Cikampek District have potential in the small industry category. This category of small industry potential includes the community being able to develop work industries, food needs, and clothing in each of these villages.
Android-Based Monitoring and Meter Recording Applications
Authors: Pangestu Sayogyo , Nugroho Setiya , Nuryanto
Published: March 2024

It is difficult for the people of Dlimas Tegalrejo village to find out information on drinking water bills and payment due dates. They have to wait for the presence of Pamsimas officers to find out this information. Water customers also cannot access billing and payment data in real time. This study aims to produce an application system for monitoring and recording metering in the village of Dlimas, Tegalrejo using a QR code with a mobile-based application. This system will be designed using the prototyping method, database design using ERD, and application design using UML. This application is built using Firebase services to produce Android-based applications. This research produces an Android- based application with three access rights, namely officer, admin and customer. Officers can send customer data meter numbers with the QR code scan feature. The admin is in charge of inputting customer meter data. Customers can view data on drinking water bills in real time. This study produced several algorithms in mobile programming, namely water payment calculations, late payment calculations, fine calculations, tariff and price data, and total payment calculations. The designed system can complete the work in 23.34 seconds or four times faster than the previous process.
Leveraging Self-Attention Mechanism for Deep Learning in Hand-Gesture Recognition System
Authors: Haq Muhamad Amirul , Huy Le Nam Quoc , Ridlwan Muhammad , Naila Ishmatun
Published: March 2024

This research addresses the complex challenge of recognizing hand gestures irrespective of the user's body posture, a crucial issue in medical treatment for people with speech impairments and human-machine interfaces where precise gesture interpretation is vital. The aim is to engineer an advanced hand gesture recognition system, effective across various body positions and camera viewpoints. A novel flexible camera arrangement was employed, integrating a CNN-Transformer hybrid model, leveraging the strengths of Convolutional Neural Networks and the self-attention mechanism of Transformers. Developed using Python and the PyTorch deep learning framework, the system focuses on sophisticated image processing techniques. A thorough literature review on gesture recognition systems and multi-view analysis was conducted to inform the development. The system demonstrated exceptional accuracy in recognizing hand gestures in diverse body postures and from multiple camera perspectives, significantly outperforming existing methods. It marked a significant advancement in decoding complex gestures, a key aspect for medical applications and intricate human-machine is primarily interactions. This beneficial for people with speech impairments, rehabilitation, and in human-machine interfaces, poised to revolutionize patient care and enhance interaction with advanced machinery and computer systems.
Budget Planning Information System Using the Rapid Application Development Method Case Study: SMK Negeri 1 Magelang Indonesia
Authors: Fadloil  , Widyanto R. Arri , Arumi Endah Ratna
Published: March 2024

Education plays a crucial role in building a solid foundation for the progress of a nation. As an entity, education is very important. Education in a country like Indonesia is reflected in various aspects that are closely related to national development. Education not only provides access to knowledge and skills, but is also a major milestone in reducing poverty and social inequality. Educational progress cannot be separated from educational management managed by each agency. Each agency has a vision and mission to achieve its goals. Successful educational attainment depends on several factors, one of which is financial management. Financial management is an inevitable foundation in life, playing an important role in ensuring financial stability, success and well-being. Financial management is very important in providing education. SMKN 1 Magelang in an effort to advance education both in terms of infrastructure and other needs, provides the opportunity for each unit to submit a budget plan every year. Submission of budget plans is done manually using a paper form. Problems that always arise in every budget are irregular data and time efficiency. Filtering activity priorities is also difficult for the budget team. Therefore, a problem solution is needed in the form of a system that can manage the management of the budget design. Information systems have many advantages such as good management and reporting and can increase time efficiency. Currently developing technology allows budget planning using information systems, becoming the right solution for managing budget plans. The research objectives to be achieved are as follows: Produce an appropriate information system to help prepare School Activity Plans and Budgets (RKAS) at SMKN 1 Magelang. The method used is Rapid Application Development (RAD) with three stages including planning, design and implementation. This method was chosen because it has the advantage of being able to produce a quality system in a short time. The main finding in this research is the existence of a filtering feature to determine the budget priority scale. Increasing the effectiveness and efficiency of RKAS design time at SMKN 1 Magelang and making it easier to develop and build the RKAS information system using the RAD method.
Machine Learning Techniques for Heart Disease Classification Using K-Nearest Neighbor Optimization with Particle Swarm Optimization
Authors: Wahyusari Retno , Herraprastanti Eva Hertnacahyani , Gunawan Helmi
Published: March 2024

Diseases contribute significantly to mortality rates, with data from the World Health Organization (WHO) indicating that Indonesia faces challenges posed by at least 10 diseases with the highest fatality rates. Among these, heart disease ranks second only to stroke. Recent statistics show a 1.25% increase in deaths attributed to heart or cardiovascular diseases in Indonesia compared to the previous year. Given the substantial impact of heart disease, accurate diagnosis becomes crucial for effective prevention and treatment. Machine learning, particularly classification methods, can be employed in diagnostic activities. Classification involves grouping based on specific characteristics for diagnosis, and various methods, including decision trees, Naive Bayes, Support Vector Machine, and k-NN, are utilized. k-NN, despite its simplicity, faces challenges due to prolonged classification processes caused by using all training data. To address this, the feature selection method, particularly Particle Swarm Optimization (PSO), can be employed to optimize the k-NN algorithm. In the context of heart disease classification, the application of k-NN resulted in an accuracy rate of 60.13%. However, when optimizing k-NN with PSO, the accuracy rate significantly improved to 90.75%, demonstrating the efficacy of this approach in overcoming the limitations of using k-NN alone.
Investigating Technology Acceptance Model (TAM) for E-Da’wah: A Systematic Literature Review
Authors: Prabowo Nugroho Agung , Hanapi Ahmad Naim Che Pee @ Che , Ahmad Ibrahim
Published: March 2024

This literature review research aims to conduct a systematic review of the use of the Technology Acceptance Model (TAM) in the context of E-Da’wah. E-Da’wah is a new approach in da'wah that uses information and communication technology as a means to convey religious messages to the community. Information and communication technology has opened up new opportunities to spread da'wah more effectively and widely, but the acceptance and adoption of this technology by the public remains a relevant and interesting issue to be researched. This article will present a summary and analysis of previous studies that have applied the technology acceptance model, namely the Technology Acceptance Model (TAM), in the context of E-Da’wah. This literature review will cover some of the main variables present in the TAM model, such as perceived usefulness (perceived utility) and perceived ease of use (perceived ease of use), as well as other factors that influence the acceptance of technology in the context of E-Da’wah. In addition, this article will also discuss the results of re- cent research that has been conducted to understand user behavior in adopting E-Da’wah technology. The results of this article are expected to provide in-depth insights into the application of technology acceptance models in the E-Da’wah environment, provide a better understanding of the factors that influence the adoption of this technology, and provide direction for future research in optimizing the use of technology information and communication in da'wah efforts.
IoT APIs: Time Response Optimization in Edge Computing Data Communication for Power Phase Detection System
Authors: Nursuwars Firmansyah Maulana Sugiartana , Shofa Rahmi Nur , Andang Asep , Hiron Nurul
Published: March 2024

The IoT-based phase detection system is one of the important innovations in monitoring and managing modern electrical systems. However, challenges arise in presenting real-time data communication in the context of edge computing through the use of APIs. The problem that arises is the length of response time required in the data communication process, which can hamper the efficiency and accuracy of the system. The main objective of this research is to design and implement an effective strategy to reduce response time in API-based IoT data communication in phase detection systems. The method adopted includes a thorough analysis of existing communication processes and the development of optimized algorithms to speed up response times. This research approach involves measuring the response time before and after implementing an optimized algorithm on the client side, which in this case is represented by an Arduino device. Experiments were conducted using realistic data communication scenarios to validate the effectiveness of the proposed approach. The experimental results show that by optimizing the communication algorithm on the client side, the response time in IoT data communications can be significantly reduced. The response time which originally reached 4 seconds, was successfully reduced to only 0.8 seconds after the implementation of an optimized algorithm. This result has the potential to increase the operational efficiency of the system and expand the application of this technology in a variety of applications that require a fast response time.
Study of Physical and Chemical Properties of Drinking Water Sources on the Citarum River Irrigation Area in Karawang, West Java, Indonesia
Authors: Sadidan Ikhwanussafa , Sari Gina Lova , Kasasiah Ahsanal , Utami Marsah R. , Amethysia Nur Ridha
Published: March 2024

Citarum River in West Java has been named as the most polluted river in the world. The irrigation stream plays an important role in society as the source of agricultural and drinking water. However, the increasing number of industries and population density along the river have made this river dirtier. This study aims to determine the physical and chemical characteristics of water in the Citarum River irrigation area. There were 33 samples that were taken for every 1,5 km. The physical chemical water parameters were tested at DLHK Karawang Water Laboratory. The water surface has a sharper color and smell when entering the industrial areas. This finding indicates that several chemical wastes are dumped directly into the water. The turbid color of the river water exceeds the set threshold. In addition, the dissolved iron content was above the standard. The results of this research can be implemented in the fields of water management, environment, and public health. Moreover, the results can be used as a basis for the government to make regulations. In addition, this can be used for other researchers in the development of science.
Analysis of Maggot Nutrition in Various Farming Periods and Organic Wastes as a Growth Medium
Authors: Sari Gina Lova , Sefrina Linda Riski , Hanifi Rizal , Rizki Sethiavi , Samad Ayya Sophia
Published: March 2024

Undoubtedly, the bioconversion of organic waste into maggots is an innovation to reduce organic waste generation. Nonetheless, maggot cultivators only use available organic waste as feed, without adjustments, which makes the nutritional value of maggot produced inconsistent. The current study aims to determine appropriate organic waste and farming periods based on the nutritional value of maggots. This research was conducted using a field-scale experimental method for 21 days. A total of 9 experimental variations of organic waste type and farming period were observed, i.e., kitchen waste, rotten vegetables, and a mixture of both (50:50, w/w) for 7, 14, and 21 days of farming, respectively. The results showed that the appropriate organic waste for maggot farming is kitchen waste, with a farming period of 14 days. During the 14-day farming process, maggot weight increased 1,750 times to 3,500 grams, with protein and fat content of 38.28% and 28.47%, respectively. The protein content in maggot meets the minimum requirements for fish and poultry use as an alternative feed.
Utilization of Public Open Space: Movement Pattern and Compromised Territory
Authors: Ausi Shintaya , Puspitasari Popi
Published: March 2024

Understanding open space management based on local culture is an important aspect in creating an inclusive quality of community life. Serang City Square is a public space that has high vitality in its utilization for the local community. The government of Serang City (the capital of Banten Province) currently manages the area including the square. Its spatial layout is optimally organized for directed development, so that it suits the needs of users. The research objectives are 1) to study the movement patterns of space users through user considerations in choosing space, time and place for activities - 2) to reveal the territoriality of space utilization and informal agreements underlying its management. The research method used a quasi-qualitative approach, with place-centered mapping techniques and in-depth interviews. The results show that 1) the pattern of public open space utilization and its changes are influenced by the choice of time, type of activity, weather conditions and distance, 2) spatial territory is built by attachment to space due to habits and agreements of space users based on informal rules and compromises. This research contributes to local governments in considering the planning and arrangement of open spaces.
Crude Oil Polluted Soil Bioremediation through Microbe Activity Utilization
Authors: Nadhilah Sharfina , Rinanti Astri , Kusumadewi Riana Ayu , Fachrul Melati Ferianita , Minarti Astari , Aphirta Sarah , Rahmiyati Lutfia , Marendra Sheilla Megagupita Putri , Sunaryo Thalia
Published: March 2024

Environmental pollution by crude oil has become a serious problem all over the world with high level of oil spillage or leaks comes from damaged crude oil piping, tankers storage, offshore drilling, and illegal oil waste dumping cases. The objective of this research is to study crude oil polluted land recovery process with biotechnological approach. Technology to safely remove oil pollutant in the environment is bioremediation due to its low cost, high efficiency level, environmentally friendly, and sustainability. Three isolate bacteria namely Pseudomonas sp., Pseudomonas xanthomarina, and Arthrobacter nitroguajacolicus were utilized as bioremediation agents to perform land remediation with biostimulation-bioaugmentation (BS-BA) approach. After 25 days, 31,000 mg/kg of Total Petroleum Hydrocarbon (TPH) was decreased into 90-10000 mg/kg or equal to 67.7% to 99.70%. We also detected 14,000 mg/kg decrease of Polycyclic Aromatic Hydrocarbon (PAH) into 8 to 40 mg/kg with detection limit of 99.94% to % in just 5-10 days. TPH removal kinetic calculation by using Pseudomonas xanthomarina bacteria resulted YT, Kd, Yobs, and Ks respectively at 0.002/hour, 0.001/hour, 0.0361/hour, and 0.0002/hour, by using order 2 formula with regression value of 0.9482. We recommend conducting land farming processing which consists of 2 beds with volumes of 55 m3/bed in order to remediate 159 ton of crude oil polluted soil by utilizing 9.6 L of hydrocarbonoclastic bacteria for 3723 hours. Based on the findings, we concluded that bioremediation is available on crude oil polluted soil.
Sustainable Lean Supply Chain to Minimize Waste in Solar Water Heater Production
Authors: Sari Emelia , Amran Tiena Gustina , Takari Kinanti Mutiara , Akbari Annisa Dewi , Mamat Tengku Nur Azila Raja
Published: March 2024

The Solar Water Heater Production company is dedicated to manufacturing and supplying new and renewable energy. However, the company needs help in meeting its production targets. This research aims to address this issue by improving the supply chain flow by implementing a sustainable lean supply chain. The research process involves several steps: 1) identifying gaps in activities within the supply chain flow through value chain analysis, 2) determining the types of waste, 3) constructing an Ishikawa Diagram, 4) calculating the Sustainability Index (SI), and 5) implementing improvements. The research results indicate a 10% increase in process cycle efficiency after implementing improvements. Additionally, process activity mapping identified eight movements, 34 instances of waiting, five defects, and five behavioural activities. The calculation of the SI also showed improvement, improving from 142% to 121%. In conclusion, the research approach has successfully reduced waste and enhanced production efficiency. It has been achieved by integrating economic, social, and environmental factors into the improvement process, leading to successful manufacturing practices.
Assessment of Energy Sustainability Enhancement of a Paper Industry in Riau, Indonesia
Authors: Al’amin Hardi Rifki , Lystianingrum Vita
Published: March 2024

The Paper industry is an energy-intensive and one of the most energy-consuming industries in Indonesia. In this study, Paper Mill energy sources come from coal and renewable energy such as black liquor as a substitute for coal and on-grid 9MW PV system are reassessed by using optimization software, HOMER. This study aims to present a feasibility study of increasing the use of renewable energy sources in Paper Mill to reduce coal consumption for more sustainability. The software HOMER is used as a tool to determine the most feasible combination of component considered in the study. It is feasible to reduce 10,84% coal consumption kg per year with the optimal renewable energy mix consisting of additional 24MW rooftop PV system and 5,94kW hydrokinetic energy from Kampar River located 6 km from the plant. Renewable fraction increased to 16%. This study result is good for sustainable growth of Paper Mill business that investments in climate and nature to support the Indonesian government in achieving net zero emissions.
Analysis of Compound Flooding in the Cakung Drain Area, DKI Jakarta Province
Authors: Nurabriansyah Rahman , Kusuma Muhammad Syahril Badri , Moerwanto Arie Setiadi
Published: March 2024

Cakung Drain is an artificial river located downstream of the Cakung and Buaran Rivers, established as part of Jakarta's flood control infrastructure. Administratively, the upper section of Cakung Drain is located in East Jakarta, while the lower section is in North Jakarta. The current capacity of Cakung Drain is insufficient to handle the flow during flood conditions, leading to persistent flooding in the area. Flood conditions downstream of Cakung Drain are exacerbated by the potential for Compound Flood, resulting from the simultaneous occurrence of two extreme conditions. Various initiatives to manage floods have been implemented in the Cakung Drain area. This study aims to evaluate the flood risk in the Cakung Drain area before and after the implementation of flood management structures, considering the impact of discharge and tidal conditions downstream influenced by waves and storm surges. Flood modelling is executed using HECRAS software employing both 1D and 2D approaches. The study's findings reveal that the flooded area under existing conditions spans 7.065 km2. Under design conditions, flooding persists with an area of 4.15 km², attributed to flood overflow in downstream areas where embankments have not been constructed.
Morphometric Analysis for Sustainable River Management: A Case Study of Ciujung Watershed, Banten, Indonesia
Authors: Triany Novi , Burhannudinnur Muhammad , Jannah Aisha Averrelita Fauzia , Syaifullah Khoirul Arifin , Ajiwijaya Triatmojo , Yuda Himmes Fitra , Nuryana Suherman Dwi , Benyamin
Published: March 2024

Ciujung watershed is located in Banten province, Indonesia. The Ciujung watershed is one of the watersheds that have a significant area coverage, such as Serang, Lebak, and the eastern part of Pandeglang. These areas are developing both in terms of population growth and infrastructure. Therefore, a more in-depth study of the Ciujung watershed, namely morphometric studies, is needed to optimize the utilization of the river's renewable natural resources and mitigate potential flood hazards in the watershed area. The method used is remote sensing based on DEMNAS satellite data using QGis software. The parameters analyzed were watershed shape, watershed area, river branch ratio, and river density. The results show that the Ciujung watershed is divided into 14 sub-watersheds. In general, the sub-watersheds have a bird feather shape, and some are radial and parallel, which causes some research areas to be very at risk of flooding. From the condition of river branching, most areas are unaffected by deformation. A small part of the deformed area occurs in the middle area of the Ciujung watershed. This is interpreted to be related to tectonic activity. The drainage density shows that the Ciujung watershed is based on resistant rocks and materials, so it is easily eroded and causes siltation of the river in the downstream area, which can trigger flooding.
Improvement of the Bearing Capacity and Swelling of Ciampel Expansive Soil using Waste Foundry Sand
Authors: Gunarti Anita Setyowati Srie , Zaika Yulvi , Kuntoro Septyan Adi , Munawir As’ad , Suryo Eko Andi , Harimurti
Published: March 2024

Road construction on expansive soil often suffers damage because of large shrinkage properties due to changes in water content. This study aims to analyze the bearing capacity and swelling of expansive soils stabilized using WFS as an effort to find solutions for improving expansive soils by utilizing local materials based on industrial waste. In this study, the soil was mixed with waste foundry sand as an additive material with a concentration of 2.5%, 5%, 7.5%, and 10% of the soil dry weight. Tests carried out included Compaction, California Bearing Ratio, and Swelling Potential based on ASTM standards. The soil stabilized with 10% WFS showed a significant increase in CBR value with changes of 64.89% (unsoaked) and 438.69% (soaked) to the original soil CBR value. WFS 10% in the soil was able to suppress the expansion value of the expansive soil by 93.16% to the swelling value of the original soil. WFS content of 10% in the soil can be recommended as an expansive soil stabilization material because it can increase the bearing capacity of the soil and reduce the level of swelling of the soil.
Effect of Transport Road Slope on Fuel Consumption of Coal Mine Transport Truck
Authors: Saptarini Dessy Lestari , Hidayatullah Rachmat , Marul Abdi , Suprianto Teguh
Published: March 2024

Fuel is a major component of mining operational costs. One of the factors that affect fuel consumption is the condition of the mine road conditions. This research was conducted in a coal mine in South Kalimantan to determine the effect of slope and hauling distance on the rate of fuel consumption. The research method used by researchers is a quantitative research method. From the results of the analysis, the total power required for the conveyance to overcome the slope of the road with a distance of 1.47 m is 6.47 MW and for one trip it requires 19.25 liters of fuel. Based on the results of calculations regarding the relationship between road slope and hauling distance to the speed of fuel consumption, it can be concluded that when in free conditions, if there is an addition of 1% road slope, fuel consumption will increase by 4,820 liters. Whereas in unloaded conditions, if there is an addition of 1% road slope, fuel consumption will increase by 2,071 liters.
The Comparison of Electric Motor Performance in Powering Electric Motorcycle
Authors: Ulinuha Agus , Ramadhany Agita Cahya
Published: March 2024

The increase use of vehicles with combustion engine has caused intensive exploration of fossil fuels and severe pollutions. The replacement of this engine with electric motor is expected to solve both problems. For optimal selection of the motor, assessment of its performance is necessary. This may be carried out by comparing the performance of the motors used for powering electric motorcycle. This paper presents the performance comparison of 2 motors powering a modified motorcycle. The engine of the motorcycle was successively replaced with BLDC motor and DC motor and their performances were measured. The motorcycle was loaded with 1 and 2 passengers with the total weight of 59 and 109 Kg, respectively. The motorcycle speed (km/h) was adjusted up to 30 km/h. The results of the test indicate that DC motor requires power of 557.74 Watt at the speed of 317.04 rpm and generates torque of 16.81 Nm with energy consumption of 41.55 km/kWh. For the BLDC motor, it requires power of 526.62 Watt at the speed of 316.78 rpm and generates torque of 15.88 Nm with energy consumption of 50.59 km/kWh. For the same distance, DC Motor enables generates higher torque than BLDC motor. However, BLDC motor may present lower energy consumption per kWh than DC motor.
Fuzzy Logic Control System for Optimizing Dual-Axis Solar Panel Tracking
Authors: Rahman Aswadul Fitri Saiful , Fattah Anwar , Asni A. , Waruni Mayda , Kasrani  , Ardiansyah Wahyu
Published: March 2024

The utilization of solar energy through solar panels has gained considerable attention in renewable energy applications. However, the effectiveness of energy conversion is hindered by the misalignment of solar panels with the incident sunlight. To address this issue, a dual-axis solar tracker system is proposed to automatically adjust the orientation of solar panels, enhancing energy generation efficiency. This research introduces a novel approach using a fuzzy logic control system to regulate the movement of stepper motors responsible for adjusting the solar panel positions. The system relies on input data from Light-Dependent Resistor (LDR) sensors to detect the sunlight’s position. Additionally, voltage, current, and angle sensors are integrated to accurately determine the solar panels angular position. The fuzzy logic control system employs the Mamdani method with Mean of Maximum (MOM) defuzzification. A comprehensive analysis of the systems performance was conducted, demonstrating that the manual calculations yielded 0.87 and 0.59 micro steps, while the Fuzzy Inference System (FIS) produced 0.35 and 0.26 micro steps. These results were verified through the serial monitor in the Arduino Integrated Development Environment (IDE). This research focuses on the development of a microcontroller-based two-axis solar panel control system using fuzzy logic. The system’s primary objective is to maximize solar energy utilization by ensuring that solar panels consistently align with the direction of sunlight, both vertically and horizontally. The proposed system offers an effective means of enhancing the efficiency of solar panel energy generation by continuously optimizing their alignment with the incident sunlight.
Change in the Rivedbed Due to Regulator Gate on the Loji River
Authors: Singgih Rizky Herdianto , Kuntoro Arno Adi , Natasaputra Suardi , Juliadi Sandhi Akhmad
Published: March 2024

The city of Pekalongan, located in the northern part of Java Island within Central Java Province, faces challenges such as floods and tidal inundation originating from the runoff of the Loji River, exacerbated by tides due to land subsidence and changes in land use. To address these issues, the government, through BBWS Pemali Juana, has undertaken a technical study on flood control, involving the construction of normalization, regulator gates, moveable weirs, and retention ponds along the Loji River. This study aims to analyze the changes in the riverbed resulting from the development initiatives on the Loji River. The analysis employs HEC-RAS 1D to assess alterations in sedimentation patterns within the river. The outcomes of the constructed interventions on the Loji River reveal notable changes in the riverbed, characterized by increased sedimentation and erosion. This research serves a crucial role in providing valuable input to the government for policymaking related to planning, implementation, and monitoring, grounded in the principles of integrated water resources management.
Modeling of 2D Hec-Ras Simulation on Debris Flow Analysis on Morphological Changes of the Omu River, Sigi Regency, Central Sulawesi
Authors: Pramesthi Zelandi Yura , Harlan Dhemi , Irianto Eko Winar
Published: March 2024

Landslide is a natural disaster that shows if the soil structure in the area is unstable, where landslides occurred was in the upper part of the Omu River. When there is heavy rain, landslide material in the form of debris is carried into the river flow increasing the concentration of sediment in the river which causes debris flow. Debris flow has a destructive power that can cause damage to buildings, utilities and can threaten the lives of people in the area. This study aims to NonNewtonian method analysis models in the HEC-RAS (2D) 6.4 software. The findings reveal that debris flow has a significant impact on the morphological stability of the Omu River, stability of the riverbed and bank erosion, which can disrupt the overall river system stability. One effective strategy for mitigating the potential risks of debris flow is the construction of the Sabo Dam on the Omu River. This dam is designed to capture and retain debris sediment, preventing it from being carried downstream. By doing so, it helps to maintain the morphological stability of the Omu River, riverbed, and reduce the impact of destructive debris flow forces.
Restructuring Strategy: A Performance Review of Spin-off Islamic Banks in Indonesia
Authors: Pambuko Zulfikar Bagus , Medias Fahmi , Dewi Veni Soraya , Karunia Safitri Dwi
Published: March 2024

The deadline of 2023 has almost passed for the obligation to conduct a spin-off for sharia business units in Indonesia to become a fully-fledged Islamic bank. However, a number of empirical findings highlight the urgency of evaluating this policy. Furthermore, many sharia business units are unable to meet the minimal standards. The paper aims to review prior studies on how spin-off decisions affect the financial performance of spin-off Islamic banks in Indonesia. Information was gathered from the Google Scholar and Mendeley databases using a literature review methodology. This study reveals that 18 publications have tracked 10 Islamic spin-off banks and 18 financial performance indicators. Following the spin-off, six Islamic banks, including BNI Syariah, BRI Syariah, BJB Syariah, Bank KB Bukopin Syariah, BTPN Syariah, Bank Aceh Syariah, BCA Syariah, Bank Syariah Mandiri, and Panin Dubai Syariah Bank, experienced an improvement in their financial performance. Assets, third party funds, financing, market share, CAR, NPF, ROA, z-score, and Maqasid Sharia Index were the main performance indicators that experienced a significant improvement after the spin-off.
Fluctuations in extreme temperatures in northern Morocco and the impact of climate change: Contribution of the Regional Climate Model (RegCM)
Authors: Tahri Ayoub , Boulahfa Imane , Beroho Mohamed , El Kharrim Mohamed , Aboumaria Khadija
Published: March 2024

In this study, we use the RegCM4.6 regional climate model to simulate extreme air temperatures in northern Morocco, with a focus on the Tangier-Tetouan-Al Hoceima (TTA) region. In pursuit of this, we evaluate its performance by comparing its simulations with CRU observational data and HadGEM2-ES historical simulations over 35 years for the purpose of predicting future temperature evolution by the end of the century in the region using the validated RegCM4.6 model. The results show a slight underestimation of temperatures compared to observations, with a preference for the RegCM4.6 model over HadGEM2-ES. Projections indicate a mean temperature increase of 2°C (RCP4.5) to 4.62°C (RCP8.5) by 2099, highlighting the need for regional adaptation strategies.
Morphometrical characters of Atlantic horse mackerel Trachurus trachurus (Linnaeus, 1758), in the North Atlantic zone of Morocco
Authors: Badri Maroua , Ezziyyani Mohammed , Benchoucha Said
Published: March 2024

The Atlantic Horse mackerel Trachurus trachurus (Linnaeus, 1758) is subject to considerable fishing pressure. under strong fishing pressure, the objective of the research is to establish the species morphological characterization: the growth model, sex-ratio and the body condition factor, using standard morphometric methods and truss network analysis. 1494 samples were collected from the North Moroccan Atlantic coast, sampling was carried out from July 2021 to July 2022 at the port of Tangier and Larache (35°47, 33°89), indeed individuals total length measured between10 and 41 cm and the body weight presented between 35 and 500 g, All morphometrical analyses showed similar results, The values for males, females and the total sample showed that the growth of T. trachurus was minor, which that mean the weight grows less quick than the length, The condition factor was calculated indicating the smallest values were observed in the range of Total length between 10 and 19 cm.
Contribution of remote sensing and GIS in the study of the evolution of Anza beach in Agadir (Morocco)
Authors: Bouhadi Amine , Ben harra Abdessalam , Elallati Samia , Falouss Safae , issa Lamiae Khali , Idmhand Youssef , Raissouni Ahmed , El arrim Abdlekrim
Published: March 2024

The Moroccan coastline, in particular the Atlantic coast, presents a unique geographical and environmental context that requires special attention. Beaches in this region are subject to natural and anthropogenic forces that influence their dynamic evolution. This study focuses on the in-depth analysis and monitoring of Anza beach in Agadir, Morocco. The aim is to provide an in-depth understanding of the evolution of the Anza coastline. Shoreline analysis quantifies shoreline variations and changes over time using the Digital Shoreline Analysis System tool (DSAS). This analysis provides important information on the erosion and accumulation processes that influence the stability of Anza beach.
A Review of Structural Vulnerability Assessment Methods in the Advent of a Tsunami
Authors: Baouham Asma , Cherif Seif-eddine , Sakami Siham
Published: March 2024

The interaction between hazard and exposure gives rise to risk. Tsunami risk assessment is derived from both hazard assessment and vulnerability assessment. Exposure can manifest in various aspects, such as social factors (e.g., population), environmental factors (e.g., agricultural areas), or economic factors (e.g., infrastructure). Our focus in this review paper is specifically on economic exposure, with an emphasis on structural vulnerability assessment. The approaches employed in tsunami vulnerability assessment are diverse. In this paper, we categorize them into simplified and in-depth methods, encompassing: (1) Empirical vulnerability functions, (2) Index-based approach, (3) Building tsunami vulnerability model (BTV).