bluuebunny/crossref_metadata_2025 huggingface dataset:
Ensemble learning application for textile defect detection
Authors: Guder Okan , Isik Sahin , Anagun Yildiray
Published: October 2023

Textile production has an important share in the Turkish economy. One of the common problems in textile factories in Turkey is fabric texture defects that may occur due to textile machinery. The faulty production of the fabric adversely affects the company's economy and prestige. Many methods have been developed to achieve high accuracy in detecting defects in fabric. The aim of this study is to compare the performance of the models using the new dataset and deep learning models. The findings have determined that the Seresnet152d model, which is one of the transfer learning models, can classify with 95.38% accuracy on the generated dataset. Moreover, the majority voting gives 95.58% accuracy rate. In order to achieve high accuracy in the future, it is planned to optimize the parameters of the models used in the study with the help of swarm-oriented optimization algorithms.
A deep learning approach for human gait recognition from time-frequency analysis images of inertial measurement unit signal
Authors: Kuduz Hacer , Kaçar Fırat
Published: October 2023

Biomechanical analysis using deep learning has been increasingly used in recent studies to identify human activity. Wearable sensor data from inertial measurement units (IMUs) is widely used for recognizing human activity, but has several drawbacks owing to its high volume and diversity. To overcome these issues, the time-domain and power spectral characteristics of IMU data can be extracted using digital signal processing (DSP) methods. Our research aimed to investigate time-frequency analysis (TFA) methods for classifying the spatio-temporal gait characteristics of physical walking performed by healthy subjects. In this study, open-source biomechanical sensor signal dataset was used. The DSP step was first carried out by segmenting IMU data from the four body segments of 22 healthy subjects, and then by applying Continuous Wavelet Transform (CWT) and Short Time Fourier Transform (STFT) methods. Moreover, the resultants of linear accelerometer signals were applied in a similar manner. The image datasets obtained from this step were applied to a deep convolutional neural network (CNN) model to classify human walking speed (WS) into three classes: fast, normal, and slow. The performance of the 2D-CNN model and the impact of DSP methods using IMU data were evaluated. In conclusion, the highest test classification results demonstrated that STFT-all (85.9%), CWT-all (79.3%), and CWT-resAcc (76.3%) based CNN models present a remarkably precise and easy-to-implement classification problem, with the highest test accuracy, when all IMU channels are subjected to STFT. The classification accuracies of 2D-CNN models were compared to commonly used ML models. The Deep CNN model is a useful gait evaluation tool for healthy subjects. Furthermore, it can enable the diagnosis and phase assessment of gait abnormalities and detect gait biomarkers in rehabilitative wearables.
Perlindungan Hukum Terhadap Transaksi Online Tiktok Shop Di Kota Mataram
Authors: Mawardin Mawardin , Khairunnisah Noni Antika , Rosdiyanti Evi
Published: October 2023

Transaksi jual beli online beli online mengubah kegiatan jual beli yang biasanya menggunakan transaksi konvensional. Jual beli memberikan kemudahan bagi pembeli dalam hal barang atau jasanya, sedangkan penjual mendapatkan kemudahan dalam memasarkan produknya, bahkan mendapatkan penghematan biaya dan waktu, dalam kegiatan jual beli online, penjual dan pembeli tidak bertatap muka secara langsung, sehingga pembeli tidak bisa melihat bahkan meneliti barang yang akan di belinya. Barang yang diperdagangkan kerap sekali tidak sesuai dengan informasi dari penjual bahkan terdapat cacat tersembunyi. Pembeli berhak atas adanya informasi yang benar, jelas dan jujur mengenai kondisi serta jaminan barang yang di perjual belikan, seperti yang tercantum dalam 4 huruf C Undang-Undang Perlindungan Konsumen. Penelitian merupakan penelitian dengan jenis observational research atau dikenal dengan penelitian survey, yang sifatnya adalah penelitian deskriptif. Hasil penelitian ini bentuk perlindungan hukum terhadap konsumen adalah penyelesaian sengketa konsumen, proses penyelesaian sengketa konsumen dilakukan apabila dalam transaksi online terjadi pelanggaran terhadap hak-hak konsumen. Proses penyelesaian sengketa konsumen dapat dilakukan melalui jalur pengadilan maupun diluar pengadilan, ketentuan ini diatur dalam Undang-Undang Nomer 8 Tahun 1999 Tentang Perlindungan Konsumen. Proses hukum yang cukup panjang dan menyita waktu, terkadang menjadi penghambat utama bagi konsumen untuk melakukan tuntutan atas kerugian yang mereka alami dengan belanja di situs online. Sebagain besar konsumen lebih memilih mendiamkan permasalahan tersebut tanpa ada solusi dan tentu saja hal ini akhirnya akan merugikan konsumen itu sendiri. Adanya anggapan di masyarakat bahwa dalam berbelanja online, maka konsumen harus siap menanggung konsekwensi jika produk tidak sesuai dengan yang ditawarkan dan diharapkan oleh konsumen, juga menjadi salah satu kendala dalam menerapkan perlindungan hukum bagi konsumen dalam transaksi jual beli online.
Aerodynamic analysis of car rear spoiler with computational fluid dynamics for different angles and profiles
Authors: Öztemel Muhammed Ali , Aktaş Fatih , Yücel Nuri
Published: October 2023

The aim of the study is to compare the drag coefficient, downforce coefficient, and downforce created by the spoiler by analyzing them with the help of the Computational Fluid Dynamics (CFD) program at different wing profiles, different angles of attacks, and speeds. Solidworks was used to create the geometry for CFD analysis. ANSYS Fluent was used as the CFD analysis program. Two airfoil profiles BE153-055 and BE153-175, were selected for analysis to compare different airfoil profiles. Selected airfoils were placed at 10° and 20° angles of attack to compare different angel of attacks and analyzed at 30 (m/s), 50 (m/s) and 70 (m/s) velocities to compare different velocities. According to the analysis results, it was observed that downforce increased in direct proportion to the camber line, angle of attack, and speed. The highest downforce was obtained in BE153-175 airfoil, 20 degrees angle of attack, and 70 (m/s) speed.
Pengaruh Konversi Minyak Sawit Menjadi Biodiesel dengan Katalis Abu Limbah Boiler
Authors: Rahmat Bayu , Primandari Sri Rizki Putri
Published: October 2023

Biodiesel is one of the various alternative energy options to replace the role of diesel or petroleum. Using the basic ingredient, namely palm oil, which is renewable and more environmentally friendly. The palm oil used is not used cooking oil because the focus of this research is to test the effect of boiler waste ash as a catalyst so that the esterification stage can be skipped and focuses on the transesterification stage. The catalyst commonly used today is a homogeneous catalyst that is produced and has a negative impact if there is too much residual substance. Currently, there is not much use for boiler waste ash so much of it is wasted as waste and it is known that boiler waste ash is alkaline and contains alkaline substances so that it can be used as a heterogeneous catalyst to replace homogeneous catalysts. At this tranesterification stage, two types of treatment are given, namely variations in temperature and catalyst concentration to see the best comparison of the several types of samples. The transesterification stage uses a 1:1 ratio of oil and methanol and the addition of 1% KOH. The results of this stage produce biodiesel with characteristics, namely a density ranging between 854-859 Kg/m3 and a viscosity in the range 3,32-4,47 mm2/s, which meets SNI biodiesel standards. From this research, it can be concluded that boiler waste ash has the potential as a heterogeneous catalyst in making biodiesel, replacing homogeneous catalysts and adding to the processing of palm oil boiler waste.
Konversi Minyak Sawit Menjadi Biodiesel dengan Katalis Abu Sekam Padi
Authors: Arman Fikry Naufal , Primandari Sri Rizki Putri
Published: October 2023

Based on data from the Coordinating Ministry for the Economy, in 2022 Indonesia will contribute 52% of palm oil to the world market share and will be able to produce 40% of the world's total vegetable oil, this will encourage Indonesia to increase the use of biofuels such as biodiesel.Rice husks are still not well utilized so they only become piles of waste. This research aims to determine the effect of rice husk ash as a catalyst in making biodiesel. Rice husks contain compounds as catalyst support, namely SiO2.At this tranesterification stage, two types of treatment are given, namely variations in temperature and catalyst concentration to see the best comparison of the several types of samples. The transesterification stage uses a 1:1 ratio of oil and methanol and the addition of 1% KOH. The results of this stage produce biodiesel with characteristics, namely a density ranging from 857.2-862.4 Kg/m3 and a viscosity in the range 3.25-4.48 mm2/s which meets SNI biodiesel standards. From this research it can be concluded that rice husk ash has the potential as a heterogeneous catalyst in making biodiesel to replace homogeneous catalysts.
The Influence of Consumer Motivation on Fruit Purchase Decisions
Authors: Putri Triantika Yessin , Nurhikmah Anis , Desyana Milantika Fika , Maelani Devi Chindy , Faqih Achmad
Published: October 2023

Fruits are one type of annual horticultural plant that is commonly known to the public and consumed as additional food ingredients with good properties for body health. Fruit commodities play an important role in increasing nutritional levels in the food needed by everyone, because in fruits contain many vitamins and minerals which are important nutritional components needed by the body. This study aims to determine the influence between consumer motivation on fruit purchase decisions.  The research location was carried out in Pasar Minggu, Palimanan District, Cirebon Regency from May to June 2023 with the object of research being fruit consumers with a sample of 50 respondents. The design in this study used quantitative methods with data collection using questionnaire instruments. The data used are primary data and secondary data. The data analysis used is descriptive analysis, multiple linear analysis, t test analysis, f test analysis and coefficient of determination.  The results of a simple linear regression analysis produce a regression equation that is Y = 13.046 + 0.809X + e which means that every addition of 1% motivation will increase purchasing decisions by 0.809 kg and the value of the coefficient of determination of 0.517 which indicates consumer motivation affects purchasing decisions by 51.7%. The calculated F value of 53.454 is greater than the F table of 4.034, the Significance value of 0.000 is less than the Significance level of 0.050 and the calculated T value of 7.311 is greater than the T table 2.007, thus indicating the influence of consumer motivation on purchasing decisions
The Influence of Brand Image, Product Quality and Promotion on The Purchasing Decision of Tofu Kopeci
Authors: Amrillah Syahid , Brio Pratama M Adjie , Djuliana Fergiansyah , Faqih Achmad , Aisyah Siti
Published: October 2023

Consumers in making a decision to buy a product the consumer always considers matters concerning price, packaging, quality, and service. Purchasing decision is an action taken by a consumer to determine a choice from several alternatives available to solve a problem. Customer satisfaction is the level of feeling after comparing perceived performance/results with expectations. So the level of satisfaction is a function of the difference between perceived performance and expectations. If the performance is below expectations, then the customer will be disappointed, if kineja matches or exceeds expectations, then the customer will be very satisfied. The location of the research was carried out at the Cikentrungan Youth Cooperative (Kopeci). Located on Jalan Veteran Kuningan. The research began  from May to June 2023 with the object of research, namely Kopeci tofu consumers with a sample of 60 respondents. The design in this study used quantitative methods with data collection using questionnaire instruments. The data used are primary data and secondary data. The data analysis used is descriptive analysis, multiple linear analysis, t test analysis, f test analysis and coefficient of determination. The results showed that: (1) Brand image, product quality, and promotion partially had a positive and significant effect on purchasing decisions. This means that if brand image, product quality, and promotion are improved, it will increase purchasing decisions on tofu kopeci, and (2) There is a simultaneous influence of variables of brand image, product quality and promotion on the decision to buy tofu kopeci. This means that if brand image, product quality and promotion are improved it will improve purchasing decisions on Kopeci tofu.
Development of an interactive mobile application for information sharing between sccult, member cooperatives (saccos), and other stakeholders
Authors:   , Mwasambili Tusekile
Published: October 2023

The use of mobile devices and their affiliated software has brought about a very immense change in communication. From a different angle, marketing of goods and services for business entities has been made easier and better. However, it has been discovered that, to know about a specific entity one would need to have prior knowledge about it. This makes it hard for unknown entities to become reached by potential buyers. This is the case for SACCOS and SCCULT in Tanzania. The two become invisible to the consumer community due to their infamous nature, making their marketing difficult and hence, stunting their growth. Savings and Credit Cooperative Unions (SACCOS) are financial groups that provide their members with different financial services, including loans, savings, and investments. By lending capital to Small and Medium Enterprises, SACCOS have been a source of close to 94.7% employments of their members. It as well contributes up to 40% of the national Gross Domestic Product (GDP). However, only less than 10% of the national population is beneficiary of the services offered by SACCOS in Tanzania. The purpose of this study was to bring to attention that most individuals do not engage with SACCOS and enjoy their easy and smooth services because they lack information. The study proved that with enough information and engagement of the SACCOS to society, many individuals could join SACCOS and enjoy their benefits. A mixed research method was used to gather information on the society’s awareness of SACCOS, their knowledge, and usage of social media, and whether they have ever encountered news about SACCOS in their social media exploration. It was discovered that more than 70% of individuals have poor or no knowledge at all about SACCOS. The study discovered that, due to a large number of content contexts in social media, SACCOS are not easily found in such a pool of information. This project resulted in the development of an interactive mobile application for information sharing between the Savings and Credit Cooperatives Union League of Tanzania (SCCULT), their member cooperatives (SACCOS), and other stakeholders including the Tanzanian society mass. This is a mobile application dedicated to sharing news with society in a broader and more relevant way. Allowing individuals to have ease of access to SACCOS’s basic information enough to help them build interest in joining them.
Honeybees’ foraging patterns and their relation to honey antimicrobial activity
Authors:   , Rikohe Isack
Published: October 2023

Honeybees’ existence is highly influenced by the availability of their preferred foraging plants. This study assessed honeybees’ foraging patterns and their relationship to honey antimicrobial activity in Same District-Kilimanjaro, during the short and long rainy seasons of 2021/2022. The quadrats of 5 x 5 m (shrubs and forbs) nested with 1x1 m (grasses) were established along four transects of 5 km distance each to assess plant diversity and foraging patterns. The agar well diffusion method was employed for the antimicrobial assay. There was a significant difference in plant diversity between the rainy seasons (t = 2.60, p = 0.01 and t = 2.27, p =0.03). Grewia bicolor, Terminalia brownii, Ziziphus mucronata, Combretum schumannii, and Cordia monoica were the most visited plants by 2761, 2528, 1966, 1163, and 662 visits, during the short rain season. During the long rainy season, Acacia mellifera, Hoslundia opposita, Ocimum bacilicum, and Acalypha fruticosa were the most visited by 1638, 788, 340, and 38 visits. Honey harvested during the short rain season had higher antimicrobial activities with zones of inhibition ranging between 10 mm - 19 mm. Besides, the most susceptible microorganisms were Escherichia coli and Staphylococcus aureus. The plant leaf extracts of T. brownii, C. schumannii, and H. opposita exhibited higher antimicrobial activities against tested microorganisms. Significant differences were observed in antimicrobial activities among honey (F= 28.5, p = <0.001) and plant extracts (F= 15.9, p <0.001). A strong correlation was observed in antimicrobial activities between honey harvested during the short rainy season with T. brownii (r= 0.836, p = 0.078) and C. monoica (r = 0.732, p = 0.159). Honeybees’ foraging patterns vary among the bloomed plant species across the rainy seasons; thus, honey’s antimicrobial potential is highly influenced by floral sources and the harvesting season.
Ethnobotany and antibacterial effects of golden berry (physalis peruviana l.) on Salmonella typhi in Mbeya rural district, Tanzania
Authors:   , Chekecha Charles
Published: October 2023

Medicinal plants have been used worldwide in managing human and animal diseases. However, their use and community-based formulation methods in many places, including Mbeya Rural District in Tanzania, are rarely described or documented. This study assessed the ethnobotany and antibacterial effects of Physalis peruviana in managing typhoid fever infections in Mbeya Rural District. The research was conducted on five villages;108 key informants, including 93 household members and 15 traditional healers, were involved in the study. The agar diffusion method evaluated the in vitro antibacterial activity of aqueous leaf extract of Physalis peruviana. LC-MS/MS was used to identify the phytochemical compounds in the Physalis peruviana leaf. Findings from this study indicate that all informants (100%) know the Physalis peruviana leaves as a medicine for treating typhoid fever. Boiling and soaking of leaves showed efficacy against the antibacterial activity of Salmonella typhi. The inhibitory activities of soaking were 15.16 mm and 14.33 mm for dry and fresh leaf extracts respectively, while that of boiled leaves was 3.66 mm. Phytochemical analysis revealed the presence of eight compounds namely; quinaldic acid, 6-O-malonylglycitin, 4-hydroxyd-2,3,4,6- tetramethoxychalcone,9,10-anthracenedione,1,4-diamino 5nitro, jatrorrhizine cation, 7- hydroxycoumarin-3- carboxylic acid, isovitexin, and nicergoline. Out of these eight compounds, four were identified to have antibacterial activity. This research adds to our knowledge of the antibacterial effects of Physalis peruviana leaf. In addition, it provides further studies on the isolation of compounds that can be used to develop useful antibiotics against Salmonella typhi.
Gs-mac: A scalable and energy-efficient mac protocol for greenhouse monitoring and control using wireless sensor networks
Authors:   , Majham Mike
Published: October 2023

In recent years, wireless sensor networks have been widely applied in agricultural greenhouses to monitor and control farming-related parameters. These networks are composed of multiple sensor nodes, usually deployed in an ad hoc fashion. This form of farming attains the best quality and crop yield. However, the sensor nodes are energy constrained. So it is essential to reduce node power consumption to extend the network lifetime. An extensive analysis of weather conducted at Tanzanian locations show that weather parameters do not vary frequently. These characteristics motivate a duty cycling strategy, to minimize node power usage and increase the network lifetime. Therefore, this work proposes Greenhouse Sensor MAC (GS- MAC), a medium-access-control (MAC) protocol designed for greenhouse monitoring and control: energy conservation and scalability are the primary objectives, with latency being less crucial. To minimize idle listening, nodes implement a Time Division Multiple Access (TDMA) scheme and periodically sleep. Nodes in close proximity organize into clusters. Unlike traditional duty cycling techniques, GS-MAC avoids periodic node synchronizations. Instead, nodes communicate by maintaining strict schedules provided by cluster heads, to avoid collisions, over-emitting and minimize the duty cycle. GS-MAC also uses short node addresses to reduce packet overheads. Finally, GS-MAC adopts a contention approach on reserved time slots allocated between communication rounds to maintain scalability. GS-MAC has been implemented on MATLAB software, with simulation parameters (i.e., sensor nodes' current consumption characteristics) obtained from actual hardware. The experiment results show that GS-MAC extends the network lifetime by at least 2.7 times more than previous research, with traffic loads sent every 1-60 seconds
Insurance Ccompanies portfolio optimisation with possibilities of recovery after ruin
Authors:   , Komunte Masoud
Published: October 2023

This dissertation, is about a study on insurance companies that have experienced ruin but have a possibility of recovery from ruin. The study has proposed a perturbed mathematical model, analysed and used it for modelling the portfolio of insurance companies with possibilities of re covery after ruin. Return on investment and refinancing have been used as approaches for over coming ruin. The model was analysed for various cases of possibilities of recovery after ruin in the closed interval [0, 1]. The basic perturbed classical risk process was later compounded by refinancing and return on investment. The Hamilton-Jacobi-Bellman and Integro-Differential Equation of Volterra type were obtained. The Volterra Integro-Differential Equation for sur vival function of an insurance company was converted to a third order ordinary differential equation and later converted into a system of first order ordinary differential equations which was solved numerically using the fourth order Runge-Kutta method. The results indicate that the return on investment plays a vital role in reducing ultimate ruin and that as the possibility of recovery for insurance companies increases, the return on investment reduces ruin much faster. Also, the survival function increases with the increasing intensity of the counting pro cess but decreases with an increase in the instantaneous rate of stock return and return volatility. Because an insurance company faces more risks, these results also suggest that insurance com panies should increase their counting process since doing so will help the insurance companies in servicing more customers.
Short message service (SMS) based system for monitoring free chlorine concentration and Ph in the water reservoirs
Authors:   , Mwambe, Edson
Published: October 2023

Chlorine is the most common and affordable chemical reagent used for killing harmful micro organisms in the water to eliminate the spread of waterborne diseases such as cholera and diarrhoea. According to World Health Organization, a free chlorine level within 0.5~1 mg/l and a pH level within 6.5~8.5 is recommended for human consumption. It is essential to monitor water quality parameters such as free chlorine in the water since a lower value will not disinfect water efficiently while extreme values of free chlorine may affect the community’s health. Zanzibar Water Authority (ZAWA) employs colorimetric approach to manually measure free chlorine in the water reservoirs and submit the results into the kobocollect mobile application. However, this approach is prone to human errors, ineffective and time consuming. The objective of this current project was to develop a SMS-based system for monitoring free chlorine concentration and pH in the water reservoirs. Extreme Programming (XP) agile development methodology accompanied with V-Model were employed for developing and testing of the proposed system. The developed system consists of hardware device and dashboard for remote monitoring of water quality parameters such as free chlorine concentration and pH. The hardware device sends sensor data and notification alerts as SMS. The device is energy efficient since it uses SMS to send sensor data. The device can be deployed in a noisy environment since it uses RS485 communication protocol to communicate with the free chlorine sensor. The developed dashboard is used for remote monitoring of the sensor data. The dashboard is user friendly and practical since it was designed with the end users. The system was tested and validated by the end users to ensure all requirements were met. The developed system has a potential capability to improve management of water reservoirs by enhancing transparency, cooperation, and accountability among stakeholders.
Smallholder farmers’ awareness and aflatoxins contamination of sesame seeds grown in Southern Tanzania
Authors:   , Gidabedi, Catherine
Published: October 2023

Consumption of aflatoxins contaminated foods has led to detrimental health effects worldwide, with even more severe cases in African countries including Tanzania. A cross-sectional study was conducted in Lindi and Mtwara regions to assess awareness and aflatoxins contamination of sesame seeds. Subsequently, a total of 70 sesame seed samples were randomly purchased from the local markets for assessing aflatoxin levels using HighPerformance Liquid Chromatography (HPLC). Qualitative data were analyzed using SPSS version 20 for descriptive and correlation analysis. Results show that the majority of the respondents (82.4%) were not aware of aflatoxin contamination of agricultural produce. Awareness was negatively correlated to the levels of education (p = -0.309**) and positively correlated with gender, whereby men were more aware than women (p=0.03). On the other hand, 37 out of 70 sesame seeds samples were contaminated with total aflatoxins at a range of 0.009 ng/g to 5.557 ng/g although none of these samples exceeded the East Africa’s (EAS) maximumlimit of 10 ng/gfor total aflatoxins. Furthermore, Aflatoxin AFB1 was detected in 13 samples, moreover, the concentration was below the EAS maximum limit of 5 ng/g. Though the contamination was below the maximum limits and limited to one agro-ecological zone and season, these findings provide useful insights on aflatoxins contamination of sesame seeds from the two main growing regions in Tanzania.
Development of a secure multi-factor authentication algorithm for mobile money applications
Authors:   , Ali Guma
Published: October 2023

With the expansion of industry 4.0, financial technology (FinTech) has become paramount in this era. Mobile money as one of the FinTech has immensely contributed to improving financial inclusions among the unbanked population in many developing countries. Several mobile money schemes were developed to ensure easy access to mobile money services. However, they have suffered severe authentication security challenges since implementing two-factor authentication (2FA). Therefore, this research developed a secure multi-factor authentication (MFA) algorithm for mobile money applications that combines personal identification number (PIN), one-time password (OTP), and biometric fingerprints to authenticate the mobile money subscribers. It also used the customer’s biometric fingerprints and the agent’s quick response (QR) code to authorise money withdrawal. The PINs and OTP are secured by secure hashing algorithm-256 (SHA-256) and biometric fingerprints by Fast IDentity Online (FIDO), where the Rivest-Shamir-Adleman (RSA) encryption protects the public/private key pair and the fingerprint templates. The QR codes, confidential financial information in the databases, and all the data before transmission to the remote databases are secured using Fernet encryption. A design science research approach was employed in the research using a mixed-method. The review results identified and grouped the threat models into attacks against privacy, authentication, confidentiality, integrity, and availability. The cryptographic functions and personal identification were the countermeasures. The survey identified authentication attacks, identity theft, phishing attacks, and PIN sharing as the crucial security issues Uganda’s mobile money systems encountered. The security analysis of the designed algorithm and developed native genuine mobile money (G-MoMo) applications proved that it provided robust security during authentication and ensured data confidentiality, integrity, privacy and user anonymity. It is highly effective against several security attacks and resilient to non-repudiation. The performance analysis results showed that the algorithm enhanced security but had high communication overhead and computational cost. Lack of a forward navigation button, lack of uniformity in the applications menu title, lack of search field options, lack of actions needed for recovery, and lack of help & documentation, were identified as the results of the usability issues with the native G-MoMo applications’ user interfaces. While the results of the usability testing showed that the native G-MoMo applications were learnable, effective, efficient, memorable, had few errors, satisfaction, ease of use, aesthetic, helpful, easy to integrate, and understandable. In conclusion, implementing a secure mobile money authentication using the ii novel approach combining multiple factors helps mobile money subscribers and other stakeholders trust the mobile money industry since the security goals are highly maintained.
Smart system for monitoring and controlling oxygen gas level in high purity germanium detector room: a case study of Tanzania atomic energy commission, Arusha-Tanzania
Authors:   , Uwamahoro Yvonne
Published: October 2023

Low-oxygen air causes death all around the world. Even though the number of fatalities varies from year to year and location to location, nitrogen gas replaces oxygen in the atmosphere, increasing its percentage to less than 21% by volume. Special environment/room such as High Purity Germanium Detector Room (HPGDR) requires tailored techniques to ensure that oxygen levels are properly monitored to avoid any hazard. This study was designed for the HPGDR at Tanzania Atomic Energy Commission (TAEC). The V-Model was used which works well for small projects with clear requirements. It facilitated each step before moving on to the next level of development, resulting in the design of an error-free and high-quality system. The ESP32 microcontroller which is built in Wi-Fi was used to send data to the Blynk cloud server. The developed system is made up of four parts: The sensing component continuously monitors environmental parameters with Oxygen, MQ-135, and DHT22 sensors. The processing section processes and analyzes sensor data. The notification component alerts workers via a buzzer and Short Message Service (SMS). While the controlling component replaces the contaminated compressed air with fresh air from outside. To provide real-time monitoring, the developed system employs the Blynk Application. All processed data was accessible via mobile phones using the Blynk application. The system eliminates both danger and fear because it alerts workers through SMS and switches on exhaust fan automatically. The HPGDR workers and the administrators are the main beneficiaries of the developed system.
Analysis of Constructivism Learning Model in Improving Cognitive in Elementary School Age Children
Authors: Ahzim Rezani
Published: October 2023

The learning process certainly has its own way of achieving a learning goal. As is the case with the learning model applied at SDN 32 to achieve learning objectives. The formulation of the problem raised by the researcher is, 1) how is the constructivism learning process at SDN 32 Rejang Lebong? 2) what are the teachers' views on constructivism learning? and 3) what are the obstacles in implementing constructivism learning. The purpose of the research is to find out the constructivism learning model in improving cognitive in elementary school children. The research design of this study is qualitative research that uses observation checklists, interviews, and notes as instruments to collect data. The population in this study was 200 people consisting of 20 teachers and 180 students of SDN 32 Rejang Lebong. The sampling technique was non-random sampling technique. The results found based on the results of observations and interviews are the implementation of constructivism learning is successfully applied to high grade elementary school children and has not been effectively applied to low grade children. In addition, teachers also gave positive responses to constructivism learning, namely with this learning, children become active and make more effort to gain knowledge. The obstacles found are the lack of facilities and infrastructure in the learning process.
Teacher Effectiveness in Developing Cooperative Learning Model towards Interpersonal Intelligence at MIN 1 Rejang Lebong
Authors: Anbia Rejabil
Published: October 2023

This study aims to investigate the effectiveness of teachers in developing Cooperative Learning models on interpersonal intelligence at MIN 1 Rejang Lebong. Interpersonal intelligence is the ability of individuals to interact with others effectively, understand the feelings and thoughts of others, and be able to work together in a group. This research uses a quantitative approach with a pretest-posttest control group design. The type of research conducted is experimental research. The research sample consisted of two classes at MIN 1 Rejang Lebong, namely one experimental class that applied the Cooperative Learning learning model and one control class that applied conventional learning. The instrument used was a previously validated interpersonal intelligence test. The results showed that teachers who applied the Cooperative Learning model could effectively improve students' interpersonal intelligence. After treatment, the experimental class showed a significant increase in interpersonal intelligence scores compared to the control class. This shows that the Cooperative Learning learning model has a positive impact on the development of students' interpersonal intelligence.
Ibn Khaldun's concept of Economic, Social and Political Relations
Authors: Hasna Maliha
Published: October 2023

This study tries to examine the relationship between several economic and political variables proposed by Ibn Khaldun. This theory is called 'Ashabiyah'. There are several important findings. When a country has a good level of economic growth, the physical development of a country is relatively good and positive. Vice versa. Second, variable N (society) has a significant effect on the level of development of a country. This conclusion is in line with Ibn Khaldun's thesis which says that the quantity and quality of human resources, especially those who work productively, will be able to improve the economy and development of a country. Another conclusion is that a country that is relatively stable economically, the government that is in office at that time will tend to have the strength to survive in its leadership dynasty. In addition, with good economic conditions and the wealth of a country, the position and conditions of the people will improve.
Comparative Analysis on Efficiency of Rural Bank and Islamic Rural Bank in Yogyakarta
Authors: Maripatul Uula Mimma , Kartika Ocktavia Annisa , Muhammad Zulva Zeta Zaidan
Published: October 2023

This research aims to ascertain the efficiency levels of BPRs (Rural Banks) and BPRSs (Islamic Rural Banks) within the province of D.I. Yogyakarta. The sample utilized in this study comprises 49 BPR and 12 BPRS situated in D.I. Yogyakarta, spanning the research period of 2017-2021. The analytical approach employed is the non-parametric Data Envelopment Analysis (DEA), utilizing secondary data sourced from bank financial reports. The determination of input and output variables in this study adopts an intermediary approach. The input variables encompass fixed assets, operational expenses, and third-party funds, while the output variables encompass the quantity of disbursed financing and operational income.The findings of this research reveal a fluctuating trend within BPRs and BPRSs in Yogyakarta over the course of years. Based on the CRS (Constant Returns to Scale) and VRS (Variable Returns to Scale) scores, it is discernible that the efficiency levels of both BPRs and BPRSs experienced a reduction during the Covid-19 pandemic. The study's insights have the potential to stimulate informed decision-making and policy refinement, ultimately fostering a more robust financial sector and bolstering economic recovery efforts in the post-Covid-19 landscape.
Research Mapping on Takaful Performance
Authors: Nuraini Irni
Published: October 2023

This study aims to examine research patterns concerning Takaful Performance. The studied data came from the Scopus database, which was accessed on March 6, 2023. A total of 62 papers were retrieved. The data were analyzed with the Rstudio Bibliometrix program and biblioshiny tools to determine the research advancements on the Takaful Performance. The data demonstrates that the development of Takaful Performance research began in 2009 and has accelerated since 2015. Nazri and Omar are the most productive writer on this subject. Takaful, Malaysia, and Efficiency are the most commonly occurring keywords. According to the themes in the Takaful Performance study that has the potential to be expanded, this research has a great deal of room for growth.
Islamic Microinsurance: Problem, Future Prospect and Sentiment Analysis
Authors: Maulida Syahdatul , Rusydiana Aam Slamet
Published: October 2023

This study aims to look at sentiments towards Islamic Micro Insurance. This research is a qualitative research with secondary data types originating from scientific publications database Dimensions. Found as many as 40 scientific publications found with related themes Islamic Micro Insurance. The data is then processed using the help software SentiStrength and the results of his research found that neutral sentiment dominated with a percentage of 58%, followed by 22% negative sentiment and 20% positive sentiment. Sentiment on scientific publication data Islamic Micro Insurance fluctuate every year. 2022 was the year with the highest number of sentiments, namely 9 sentiments, which were dominated by neutral and positive sentiments with 4 sentiments each.
Sharing Economy of Islamic Microfinance & Its Impact on Social & Financial Inclusion
Authors: Yulizar Djamaluddin Sanrego
Published: October 2023

The significant role of Islamic microfinance is how they could articulate the colloborative nature of Islamic moral economy in the form ukhuwwah (social capital) among the poor participants’ program. Sharing or collaborative economy in this business platform is how poor participants of Islamic microfinance-group lending model (GLM) based, which considered as unbankable or even un-bmtable share they risk, having mutual trust, cooperative, collective responsibility to have an access to social as well as financial services provided by any form of philanthropy aids. The existence of ukhuwwah (social capital) would become critical informal institutional values that leads to an efficient sharing or collaborative business among the poor participants.  The aims of the paper is to highligt the effectiveness of Islamic microfinance-group lending model (GLM) based in Cooperative Empowerment of Baitut Tamkin Tazkia Madani (BTTM) to establish social capital in supporting sharing economy and  hence promoting the achievement of social and financial inclusion of the poor participants. Therefore, any kinds of philanthropy for humanitarian aid (including ZISWAH) should pay critical attention to the existence of social capital in order to alleviate poverty as well as to maintain human dignity.
Measuring the Impact of Social Program
Authors: Slamet Aam , Haris Abdul
Published: October 2023

This research focuses on exploring social values through Social Return on Investment (SROI) analysis in the evaluation of the BTTM Tazkia Bogor Holistic Development Project. Qualitative methods are used to analyze the social impacts produced by these projects. The SROI approach is applied using in-depth interviews as the main data collection tool. The results of the SROI analysis reveal a ratio of 1:6.43 which indicates that every investment worth Rp 1 generates a social impact worth Rp 6.43. These findings illustrate the significant positive impact of this program in creating social value in various aspects. This program not only provides financial value beyond the initial investment, but also has a profound positive influence in aspects such as financial, social, and spirituality. As research implications, these results can be used in designing, managing, and measuring the impact of similar programs in the future, as well as encouraging a broader understanding of the social value created by organizations in the context of sustainable development.
Aromatherapy Massage of Lemongrass, Kaffir Lime, and Lemon to Increase Appetite, IGF-1 (Insulin-like Growth Factor 1) Levels, Body Weight, and Height In Stunted Toddler
Authors: Yuliatri Risa , Widyawati Melyana Nurul , Suwondo Ari , Walin Walin
Published: October 2023

Stunting is a chronic nutritional problem caused by malnutrition over a long period of time, resulting in children becoming short. Stunting is not only a problem of impaired physical growth, but also causes children to become easily sick, impaired brain development and intelligence, so stunting is a major threat to the quality of human resources in Indonesia. Indonesia's stunting prevalence is 24.4% in 2021, based on the results of the Indonesian Nutritional Status Survey (SSGI) by the Ministry of Health. This figure is quite high and still above the standard tolerated by WHO, which is below 20%. For this reason, efforts are needed to reduce stunting rates with aromatherapy footing. The study aims to analyze the effect of aromatherapy massage on appetite, IGF-1 levels, body weight, and height in stunted toddlers. The research design used was pretest-postest with control group design. The number of samples in this study was 32 subjects, which were divided into two groups, 16 subjects in the intervention group were given aromatherapy massage 3 times a week with a duration of 15 minutes for 8 weeks and the control group was given standard care for stunting toddlers given PMT biscuits. The probability sampling technique is simple random sampling. The data studied were appetite, IGF-1 levels, body weight, and height of stunted toddlers. Data analysis using Wilcoxon Test, Man Wihtney Test, Paired T-test, and Independent T-test. The results show there were differences between before and after aromatherapy massage in the intervention group on appetite (P = 0.001), IGF-1 levels (P = 0.000), body weight (P = 0.000), and height (P = 0.000). Aromatherapy massage 3 times a week for a duration of 15 minutes for 8 weeks is effective in increasing appetite, IGF-1 levels, weight, and height of stunted toddlers.
Tingkat Pengetahuan Dokter Gigi Terhadap Penggunaan Vaksin Karies Gigi di Lahan Basah
Authors: Kumala Dewi Renie , Ayu Azizah Puty , Azizah Aulia
Published: October 2023

Karies adalah penyakit yang dapat menyebabkan kerusakan pada jaringan keras gigi. Kalimantan Selatan sebagian besar wilayahnya adalah area lahan basah. Kandungan air lahan basah menghasilkan asam dengan pH 3,5-4,5. Keadaan tersebut dapat memicu larutnya kristal enamel yang dapat menyebabkan karies. Tingkat pengetahuan yang dimiliki oleh dokter gigi sangat berpengaruh terhadap sikap dokter gigi dalam melakukan pencegahan karies gigi. Tindakan preventif karies dapat dilakukan dengan beberapa cara salah satunya adalah pemberian vaksin karies. Metode penelitian observasional analitik dengan pendekatan cross sectional diperoleh melalui pembagian kuesioner yang diberikan kepada dokter gigi mengenai vaksin karies gigi dan penggunaannya. Sampel pada penelitian ini adalah dokter gigi yang terdaftar sebagai anggota PDGI Cabang Kalimantan Selatan dengan jumlah total 249 dokter gigi. Teknik pengambilan sampel menggunakan simple random sampling. Analisis statistik menggunakan Uji Korelasi Rank Spearman. Dokter gigi Kalimantan selatan memiliki tingkat pengetahuan terhadap penggunaan vaksin karies gigi rendah 45,37%, sedang 33.33%, tinggi 21.3%. Berdasarkan hasil analisis statistic didapatkan nilai signifikansi p=0,000 (p<0,05). Sebagian besar dokter gigi di Kalimantan Selatan belum memiliki pengetahuan tentang penggunaan vaksin karies gigi sehingga dari hasil penelitian ini diharapkan dapat meningkatkan pengetahuan dokter gigi dalam penggunaan vaksin karies gigi untuk pencegahan karies dini.
Evolution de la loi minière en République Démocratique du Congo et son impact sur le développement de l’économie
Authors: Nyembo Kalenge Ibrahim
Published: October 2023

La République Démocratique est un pays à vocation minière. Depuis l’Etat Indépendant du Congo, les ressources naturelles particulièrement les substances minérales précieuses, n’ont cessé d’attirer des chercheurs et des investisseurs miniers venant des différents horizons. C’est depuis 1990 notre pays a connu des grandes difficultés, qui ont abouti après des années de guerre en 2001 à une pacification de la situation politique mais également à un changement très profond dans la structure minière de notre économie en promulguant la loi n°007/2002 du 11 juillet 2002 portant code minier telle que modifiée et complétée par l’ordonnance loi n°18/001 du 09 mars 2018. Sur cet aspect des choses, il y a lieu de reconnaitre le mérite du nouveau code minier qui a drainé massivement l’investissement privé dans le pays.
La sous-traitance et ses effets en République Démocratique du Congo
Authors: Nguvulu Lufuma Stève
Published: October 2023

En promulguant la loi n° 17/001 du 18 février 2017 ainsi que les dispositions complémentaires, le législateur congolais cherche à travers cette loi à promouvoir les petites et moyennes entreprises congolaises. Dans cette optique, la loi réserve la sous-traitante dans le secteur prive aux entreprises à capitaux congolais. Toutes fois, des dérogations sont prévues est peuvent justifier le recours à une entreprise sous-traitance étrangère : par exemple, en cas de carence d’expertise sur le territoire congolais. Mais la loi et ses décrets d’application encadrent strictement ces exceptions. En d’autre terme, sous réserve des exceptions prévues par la loi et de toute précision qui pourraient être apportées par une autre loi ou décret ne peuvent être sous traites en République Démocratique du Congo que des sociétés dont le capital est détenu directement ou indirectement à 51% par des personnes physiques congolais.