bluuebunny/crossref_metadata_2025 huggingface dataset:
Responses of broiler chickens fed diets containing sunflower meal and wheat middlings pre-treated with enzymes
Authors: Muchiri F. , Gachuiri C.K. , Kiarie E.G.
Published: April 2023

The effects of feeding diets containing sunflower and wheat middlings pre-treated with fibredegrading enzymes were investigated. Based on hatch body  weight (BW), 288 Ross-708 male broiler chicks were placed in cages (six birds/cage). Diets were: 1) positive control (PC), a maize–soybean positive control;  2) negative control (NC), PC plus untreated sunflower meal (USM) and wheat middlings (UWM); and 3) four test diets in which USM and UWM were  replaced with pre-treated sunflower (TSM) and wheat middlings (TWM) at 25% (NC25), 50% (NC50), 75% (NC75) and 100% (NC100). The pretreated  feedstuffs were mixed with 1% of FDE in a ratio of 1:2 w/w for feedstuff:water and incubated for 24 hours at 40 °C, and oven-dried before feed  preparation. Diets were formulated for two phases (starter, 0–21 d) and finisher (22–42 d). Diets were allocated in a completely randomized design (eight  replicates per diet) and birds had free access to feed and water. Bodyweight (BW) and feed intake (FI) were monitored by phase, and one bird per cage  was sacrificed on days 21 and 42 for samples. The BW and BW gain (BWG) of NC up to NC50 were not different relative to PC, but NC75 and NC100 were  lower than PC throughout the study. On day 21, liver weight had increased linearly and on day 42, tibia length and diameter linearly decreased with the  inclusion of TSM and TWM. In conclusion, TSM and TWM at low levels did not affect performance while high inclusion levels reduced the performance of    the broilers.
The effect of β-carotene and vitamin E on metabolic profiles in nutritionally flushed sheep
Authors: Irmak M. , Kayri V. , Tufan T. , Coşkun D. , Özcan C. , Çelik Ö.Y. , Denli M.
Published: April 2023

This study aimed to investigate the effects of β-carotene and vitamin E on serum biochemistry, body condition score, and the number of offspring in  sheep during the flushing period. To this purpose, forty Romanov sheep 45 (±1 kg) body weight and 3 years of age were allocated into one of four  experimental treatments with 10 replicates for 6 weeks: the control (only flushing), and three treatment groups injected intramuscularly with 1, 2, and 4  ml β-carotene + vitamin E in the third week of flushing, respectively. The 4-ml treatment of β-carotene + vitamin E evidently increased the follicle-  stimulating hormone level. The 2-ml treatment of β-carotene + vitamin E increased the triglyceride concentration in the serum. Body condition score,  offspring number, and biochemical parameters (cholesterol, phosphorus, calcium, magnesium, aspartate aminotransferase, beta hydroxyl butyric acid,  total protein, and glucose) were not affected by any levels of β-carotene + vitamin E administration. These findings indicate the positive role of β-carotene  + vitamin E administration on pregnancy rate and some blood parameters during flushing.
Effect of microRNA, miR-215, on gene expression and metabolism of porcine intestinal epithelial cells
Authors: Li Hongyi , Zhang Mao , Liu Wenjuan
Published: April 2023

MiR-215 maintains a high level of expression in healthy pig intestine and is decreased in lesions or injuries. To clarify the influence of miR-215 on the  porcine intestine, miR-215 mimic/inhibitor was transfected into the intestinal porcine epithelial cell line, J2 (IPEC-J2) to overexpress or suppress the  expression of miR-215. The treated cells were subjected to various functional assays. The effect of miR-215 on global gene expression was detected using  high-throughput sequencing on the BGISEQ500 platform; cell proliferation was evaluated using a Cell Counting Kit-8 (CCK-8); and the role of miR215 on  cellular metabolism was tested using non-targeted metabonomics and liquid chromatography with tandem mass spectrometry (LC-MS/MS) analysis. Our  results revealed that miR-215 promoted cell proliferation in IPEC-J2, up-regulated the expression of the ribosomal protein family, and downregulated the  expression of oncogenesis-related genes and tumour-suppressor genes. Results of the RNA sequencing and the metabonomics detection reveal that  miR-215 affects the PI3K-Akt signalling pathway. Our results contribute to further research on miR-215 in the regulation of barrier function and    metabolism in the porcine intestine.
Performance, carcass yield, and meat quality of buffalo (Bubalus bubalis) fed on diets with different levels of concentrate
Authors: Melo S. A. F. , Magalhães A.L.R. , Neves M.L.M.W. , DE Carvalho F.F.R. , Melo A. A. S. , Vieira G. H. P. , Lima D.O. , De Lima Júnior D.M. , Pessoa R.A.S.
Published: April 2023

The objective of this study was to evaluate the influence of diets with increasing concentrate levels on performance, carcass characteristics, and meat quality of Murrah buffaloes in feedlot. Twenty-four animals, with an initial body weight of 240 ± 50.5 kg and mean age of 9 months, were distributed to four treatments: 20%, 40%, 60% and 80% concentrate. After 114 days, the animals were weighed, slaughtered, and meat quality and performance data were submitted to analysis of variance and regression. The dry matter intake and average daily gain increased linearly. The final body, hot carcass, and cold carcass weights responded linearly to increases in concentrate level. The subcutaneous fat thickness, protein, and ether extract of meat increased linearly with an increase in concentrate level. The colour parameters, cooking losses, and shear force of the meat were not affected by increasing the concentrate. The inclusion of concentrate in feedlot diets increases performance, characteristics of carcass, and meat quality of Murrah buffalo in a feedlot.
Rethinking supply constraints
Authors: Mason J.W. , Jayadev Arjun
Published: April 2023

In macroeconomic policy discussions, the supply side of the economy is usually represented as a level of potential output, reflecting the real resources available for production. It is often assumed that aggregate demand and potential output evolve independently, and that the task of macroeconomic policy is to keep demand-determined output close to the level corresponding to the economy’s productive potential. A number of developments have made this representation of supply constraints less satisfactory. The failure of output and employment to return to its previous trend following the financial crisis of 2007–2009 suggests that demand-induced changes in output can have permanent effects. On the other hand, it has become clear that supply constraints come into play in response not only to increases in aggregate expenditure, but also to changes in its composition. We argue that these developments call for a reconceptualization of supply constraints. Rather than limiting the level of output, we should think of them as limiting the rate of change of output, both in the aggregate and in its composition. Substantively, we should think of supply constraints in modern economies as fundamentally reflecting limited capacity for coordination by markets.
How to Study the Policy of Sanctions? The Vision of Empirical Research
Authors: Timofeev I. N.
Published: April 2023

Scholars worldwide have amassed a wealth of knowledge on the use of economic sanctions, relying on either the analysis of large datasets or the examination of particular cases. The extensive sanctions levied against Russia have spurred research into their implementation and impact among Russian scholars, necessitating impartial empirical research. This demand raises a number of epistemological questions, such as what the strategy for understanding sanctions empirically should be, how to handle data and its processing, and what implications the existing literature, both domestically and abroad, has for approaching empirical research on sanctions. The crux of the matter is the generation of quantitative datasets of multiple sanctions events and cases, which serves as an essential starting point for empirical research. This approach helps to differentiate between “normal” and “deviant” cases, thereby justifying further sampling of cases for in-depth qualitative analysis. The article vividly illustrates this point by relying on the author’s databases on sanctions events, U. S. government enforcement actions, and U.S. Congress legislation processes on sanctions.
The Political-Economic Dialectic
Authors: Markedonov S. M.
Published: April 2023

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Between Development, Growth and Survival: Some Current Features of Iran’s Model of Socio-Economic Development
Authors: Kozhanov N. A.
Published: April 2023

In recent years, conservative forces in Iran have lambasted their moderate and pragmatic rivals for their inability to solve the country’s economic issues and improve the living standards of its populace. However, since Ebrahim Raisi won the presidential election in 2021, Iranian conservatives have had their own chance to tackle the country’s internal challenges, being the last of the political forces without direct influence on the economic decision-making system for a long time. Nevertheless, their failed attempts to foster economic growth under sanctions pressure may prove critical to the Islamic Republic. Not only the conservative part of the establishment but the entire political system may risk losing what remains of its credibility with the Iranian people, who could perceive it as incapable of eff ectively managing the economy. Furthermore, the government’s success in resolving the current socio-economic development issues is also pivotal to the political future of E. Raisi. His failure would deprive him of any opportunity to claim the post of the next supreme leader of Iran. Meanwhile, the accumulated structural problems of the Iranian economy and the external sanctions pressure can render achieving economic progress a daunting, if not insurmountable, task. This paper seeks to elucidate why there is signifi cant social tension in Iran, resulting in periodic outbursts of protest, and why the economic situation is deemed a crisis, despite the relative resilience of the Iranian economy to external and internal challenges, as well as the macroeconomic performance dynamics, which are not necessarily inferior to those of Iran’s regional neighbors. To answer this question, the paper analyzes the main economic challenges facing the country’s leadership and the extent to which the goals and priorities of the implemented “resistance economy” doctrine provide an adequate response to them. As a theoretical tool, the author employs the ideas of M. Todaro, A. Sen, S. Smith, J. Foster, and C. Handy, justifying the need for any state to transcend the simple parameters of economic growth in formulating its development strategy and think more comprehensively, focusing primarily on creating a social and economic environment that is comfortable for its citizens. As a result, the author concludes that the model of the Iranian economy that has been formed in an aggressive environment prioritizes the survival of the existing political system, approaching the issue of economic growth as secondary and failing to satisfy some popular needs beyond the basic ones. It is incapable of ensuring comprehensive sustainable socio-economic development, which over time leads to the accumulation of internal tension in Iranian society.
From exemplar to copy: the scribal appropriation of a Hadewijch manuscript computationally explored
Authors: Haverals Wouter , Kestemont Mike
Published: April 2023

This study is devoted to two of the oldest known manuscripts in which the
oeuvre of the medieval mystical author Hadewijch has been preserved: Brussels,
KBR, 2879-2880 (ms. A) and Brussels, KBR, 2877-2878 (ms. B). On the basis of
codicological and contextual arguments, it is assumed that the scribe who
produced B used A as an exemplar. While the similarities in both layout and
content between the two manuscripts are striking, the present article seeks to
identify the differences. After all, regardless of the intention to produce a
copy that closely follows the exemplar, subtle linguistic variation is
apparent. Divergences relate to spelling conventions, but also to the way in
which words are abbreviated (and the extent to which abbreviations occur). The
present study investigates the spelling profiles of the scribes who produced
mss. A and B in a computational way. In the first part of this study, we will
present both manuscripts in more detail, after which we will consider prior
research carried out on scribal profiling. The current study both builds and
expands on Kestemont (2015). Next, we outline the methodology used to analyse
and measure the degree of scribal appropriation that took place when ms. B was
copied off the exemplar ms. A. After this, we will discuss the results
obtained, focusing on the scribal variation that can be found both at the level
of individual words and n-grams. To this end, we use machine learning to
identify the most distinctive features that separate manuscript A from B.
Finally, we look at possible diachronic trends in the appropriation by B's
scribe of his exemplar. We argue that scribal takeovers in the exemplar impacts
the practice of the copying scribe, while transitions to a different content
matter cause little to no effect.
Rechtspopulistische Verschwörungstheorien in demokratischen Verfassungsstaaten
Authors: Schiebel Christoph
Published: April 2023

Diese Dissertation gibt Aufschluss über Verschwörungstheorien bei populistischen rechtsradikalen Parteien in Westmitteleuropa. Die qualitative Inhaltsanalyse bezog sich auf die Programme von vier Parteien unter Berücksichtigung des Stands von 2017. Der Politikwissenschaftler Christoph Schiebel analysiert in seiner Dissertation vergleichend die Alternative für Deutschland, die Schweizerische Volkspartei, die Freiheitliche Partei Österreichs und den Front National. Wissensoziologische sowie Elemente der freiheitlichen Demokratie wurden für das Analyseraster herangezogen.
Transkulturelle Geschichtsdidaktik
Authors: Wagner-Kyora Georg , Huneke Friedrich , Wilczek Jens , Rüther Kirsten , Mathis Christian
Published: April 2023

In einer Welt der Globalisierung benötigen Schüler Kompetenzen, die das Geschichtsbewusstsein erweitern. Die Transkulturelle Geschichtsdidaktik geht über nationalgeschichtliche und interkulturelle Sichtweisen hinaus. Sie ermöglicht es, Verflechtungsgeschichten zwischen den Beteiligten zu entdecken – sowohl beim friedlichen als auch beim konflikthaltigen Kulturaustausch. Der Band stellt Kategorien, Unterrichtskonzepte und praktische Beispiele vor, die diese Ziele umsetzen und die Ausbildung entsprechender Kompetenzen bei den Schülern ermöglichen. Die Beiträge gehen von heutigen Orientierungsbedürfnissen der Jugendlichen aus und stellen problemhaltige Fragen an die Vergangenheit.
Leitbild Demokratieerziehung
Authors: Himmelmann Gerhard
Published: April 2023

Mit seinem Werk „Demokratie-Lernen als Lebens-, Gesellschafts- und Herrschaftsform“ hat Gerhard Himmelmann eine intensive fachliche Diskussion in der deutschen Politikdidaktik ausgelöst. Angesichts paralleler Ansätze in der Pädagogik und sehr ähnlicher Initiativen im internationalen Kontext zum Thema „Education for Democratic Citizenship“ (EDC) zeigt sich, dass offenbar ein nachhaltiger Bedarf besteht, sich mit dem Thema Demokratieerziehung neu auseinander zu setzen. Diese Debatten und Denkanstöße sowie das Ausscheiden von Gerhard Himmelmann aus dem aktiven Dienst als Hochschullehrer an der Technischen Universität Braunschweig sind für die Herausgeber Gründe genug, einige konzeptionelle Vorläufer- und Begleitstudien von Himmelmann zu seinem Konzept des Demokratie-Lernens in überarbeiteter Form neu vorzulegen. Sie sollen zum besseren Verständnis seines Ansatzes beitragen. Im Zentrum dieses Buches steht jedoch eine ausführliche Expertise zur Frage „Was ist Demokratiekompetenz?“, die das Thema der Demokratieerziehung im internationalen Zusammenhang erschließt und damit eine internationale Anschlussfähigkeit der deutschen Debatten ermöglicht.
The Right Amount of Panic
Authors: Vera-Gray Fiona
Published: April 2023

With real-life accounts of women's experiences, and based on the author's original research, this book challenges the culture of victim-blaming and shows how much energy women put into avoiding sexual violence in public spaces.
Primeros hallazgos de escalas de la teoría psicológica interpersonal del suicidio en una muestra mexicana
Authors: Trejo-Cruz Víctor Hugo , Betanzos Fabiola González , De la Torre Alicia Edith Hermosillo
Published: April 2023

La teoría interpersonal del suicidio explica el punto crítico que pasa de la ideación a la conducta suicida. A partir de la teoría se han desarrollado una serie de instrumentos que permiten identificar la presencia de variables proximales asociadas a la ideación y conducta suicida. El estudio aporta los primeros hallazgos en población Mexicana del Cuestionario de Necesidades Interpersonales y la Escala de Capacidad Adquirida del Suicidio. La consistencia interna del Cuestionario de Necesidades interpersonales muestra en la dimensión percepción de ser una carga para los demás un alfa de cronbach de .88 y en la dimensión de pertenencia no lograda un alfa de .87; el análisis factorial exploratorio señala al quitar reactivo 9,11 y 12 un KMO de .847 y Bartlett 1481.958 con significancia estadística (p < 0.05). El análisis factorial confirmatorio es de RMSEA= 3.70, CMIN/ DF X2 gl=.10; <.05, GFI = .86. La escala de capacidad adquirida del suicidio falta de miedo a la muerte señala un alfa de Cronbach de .69; el análisis factorial exploratorio señala un KMO de (0.70) y la prueba de esfericidad Bartlett 375.961 la cuál es significativa (p < 0.05). El análisis factorial confirmatorio es de RMSEA= .097.  CMIN / DF X2 gl = 3.25; <.05, GFI =.95. Las evidencias de confiabilidad y validez son adecuadas. Las propiedades psicométricas de consistencia interna, análisis factorial exploratorio y confirmatorio son de moderadas a buenas en los dos instrumentos. Faltan más estudios psicométricos en varios tipos de población en México. Ademas, se requiere contrastar los instrumentos de la teoría psicológica interpersonal del suicidio con otras escalas psicométricas que midan el riesgo suicida ya validadas en el país. Los datos de los participantes se manejaron de forma segura y confidencial. Este proyecto fue aprobado por un comité de ética institucional.
Pengenalan Tulisan Tangan Angka menggunakan Self Organizing Maps (SOM)
Authors: Fitriana Gita Fadila
Published: April 2023

Handwriting is character pattern recognition. Character pattern recognition is exciting to do research. In character pattern recognition, many types of characters can be recognized by computers and solved by various algorithms. Various kinds of pattern recognition have been successfully applied in multiple fields such as voice recognition, face detection, fingerprint recognition, and handwriting recognition. Handwriting recognition is divided into two types, namely online handwriting recognition and offline handwriting recognition. Online handwriting recognition requires special electronic equipment, and handwriting is captured on a pressure-sensitive tablet. Offline handwriting recognition does not need a particular machine because handwriting data is entered from previously written text such as images scanned by a scanner. Several methods have been developed to recognize handwriting with varying degrees of accuracy. This research uses the feature extraction of United Moment Invariant (UMI) and Self Organizing Maps (SOM). Based on the results of the software experiment for the entire test data set, the primary data yielded an accuracy rate of 88% for 50 images, and the first secondary data paid an accuracy rate of 98.2% for 500 images. However, for the second secondary data experiment with 50 test data, the accuracy rate is 90%. The third secondary data experiment was 500 test data. The accuracy rate was 89%. When viewed from the accuracy value, the primary data has a lower level of accuracy when compared to the two secondary data with different amounts. The story of accuracy resulting from experimenting with varying data sets proves that handwritten characters have a high and inconsistent level of variation. This is caused by the thickness and form of writing that is not consistent in each person and habits that affect the character of one's handwriting. Primary data is data that is taken directly and through a scanner process and still has a lot of noise in the handwritten image of numbers. At the same time, the secondary data has undergone a grey image process so that the handwritten image is clean from noise.
Penerapan Algoritma K-Means dan K-Medoid untuk Pengelompokkan Data Pasien Covid-19
Authors: Gurning Umairah Rizkya , Mustakim Mustakim
Published: April 2023

At the end of 2019 in Wuhan, China, a new virus was discovered, that is Corona Virus Disease 2019. This virus causes serious health problems and has been declared as pandemic since March 11, 2020. It has caused death and claimed thousands of lives. This virus spreads very quickly and in various ways such as direct contact with patients, travelers, owners of congenital diseases and many other transmissions. To suppress the spread of this virus, the government has carried out various ways such as social distancing and screening or impromptu swabs in crowded centers. Due to the many types of transmission from this virus, this research was conducted to classify Covid-19 cases in Dumai City. It is hoped that the results of this study can be used as an illustration of the grouping of Covid-19 patient data by applying K-Means and K-Medoid as a grouping algorithm based on the type of transmission, age, gender, health services and district. Based on this research, the K-Means algorithm is more optimal than K-Medoid in classifying Covid-19 patient data, especially in Dumai City. It is proven that the best DBI K-Means value is 0.139 with k = 4
Sistem Pendukung Keputusan Pemilihan Calon Ketua Program Studi Menerapkan Metode VIKOR
Authors: Pardosi Feby Kristin , Hasibuan Nelly Astuti
Published: April 2023

The head of the study program is one of the important people in the agency who is responsible for managing and managing each channel from high school or university. The head of study program also has tasks such as arranging plans and activities, evaluating the implementation of educational activities and so forth. Before the appointment of the head of the Study Program, there will certainly be a nomination for the head of the Study Program who has at least more than 3 lecturers and staff who have requirements. The method used in this decision support system is the VIKOR Method (Visekriterijumsko Kompromisno Rangiranje). This method performs an evaluation of alternatives and determines the ideal compromise solution, so that this system can later be useful for high schools or universities in choosing the head of study programs.
Sistem Pendukung Keputusan Aplikasi Bantu Pembelajaran Matematika Menggunakan Metode EDAS
Authors: Karim Abdul , Esabella Shinta , Hidayatullah Muhammad , Andriani Titi
Published: April 2023

Technological developments have occurred at this time. The rapid development of technology forces students to be wiser in using it. One of the functions of technology is to become a learning medium like a cell phone. HP, which has become an obligation for students, has given rise to ideas for experts to bring up many new applications, especially in the field of mathematics. The emergence of these various applications makes students confused to choose which one is feasible to choose. To solve this problem, a Decision Support System is needed. SPK is a computer-based system whose function is to assist parties or individuals who need it, especially in making a decision. SPK can function properly, if you use the method. The method used in Ono's research is the EDAS method. The EDAS method is a method that uses a formula or formula, where the decision is generated from positive and negative distances. Based on this study, the results were found, namely alternative A1 with the name of the application, namely QANDA with a value of 0.0767 as the highest score
Perancangan dan Implementasi Sistem Pemantauan Kualitas Udara berbasis IoT menggunakan Wemos D1 Mini dan Android
Authors: Prakoso Alvian Dafa , Wellem Theophilus
Published: April 2023

Internet-of-Things (IoT)-based monitoring and control systems have been widely used in daily life, for example, in smart cities, smart homes (or home automation), and intelligent transportation applications. One example of the application of IoT in smart cities and smart homes is the air quality monitoring system. Monitoring air quality, both indoors and outdoors, is essential for health. This study aims to design and implement an IoT-based air quality monitoring system. The hardware in this system uses the Wemos D1 Mini board, the MQ-9 gas sensor to measure carbon monoxide (CO) gas levels, and the MQ-135 gas sensor to measure carbon dioxide (CO2) gas levels. An Android-based application is also implemented to access and display the results of air quality measurements by the system stored in the cloud database (Firebase). System testing is carried out using smoke from burning paper at varying distances from the sensors. The system test results show that the implemented system can measure CO gas levels in the room from 7 ppm to 38 ppm. The measurement results for CO2 gas levels in the room are between 200 ppm to 1000 ppm.
Penerapan Algoritma K-Means clustering Untuk Mengelompokkan Provinsi Berdasarkan Banyaknya Desa/Kelurahan Dengan Upaya Antisipasi/Mitigasi Bencana Alam
Authors: Pratama Yovi , Hendrawan Hendrawan , Rasywir Errissya , Carenina Babel Tio , Anggraini Dila Riski
Published: April 2023

Natural disasters are one of the natural phenomena that threaten human survival. The negative impacts can be in the form of material or non-material losses. However, with the ability to recognize the early symptoms of a disaster, humans can prepare themselves for disaster. Application of the K-Means clustering Algorithm in Grouping Provinces Based on the Number of Villages / Sub-districts with Anticipation / Mitigation Efforts for Natural Disasters Using the WEKA Application. The data sources for this research were collected based on documents describing the Number of Villages/ Urban According to Natural Disaster Anticipation/Mitigation Efforts produced by the National Statistics Agency. The data used in this study is provincial data which consists of 34 provinces. There are 4 variables used, namely Natural Disaster Early Warning System, Tsunami Early Warning System, Safety Equipment, Evacuation Path. The data will be processed by clustering in 2 clusters, namely clusters with high anticipation/mitigation levels and low anticipation/mitigation levels. The results obtained from the assessment process are that there are 5 (14.71 %) provinces with a high level of anticipation/mitigation and 29  (85.29%) other provinces including a low level of anticipation/mitigation. This can be an input for the government to pay more attention to the Village/Kelurahan based on the clusters that have been carried out
Implementasi Jaringan Syaraf Tiruan Menggunakan Metode Self-Organizing Map Pada Klasifikasi Citra Jenis Ikan Kakap
Authors: Nuraini Rini
Published: April 2023

Snapper is one of the favorite fish for consumption because it has a myriad of benefits for the human body. There are many types of snapper, especially snapper which is often found in Indonesian waters. Knowing the types of snapper is important knowledge because snapper has different characteristics, for example there are snapper that can be consumed and there are also types of snapper that can be cultivated. However, the lack of information and similar types of snapper makes it difficult for people to identify the type of snapper. This study aims to implement a Self-Organizing Map (SOM) artificial neural network for classification of snapper species based on color and texture characteristics. In order to provide information about the snapper object to be classified, color and texture feature extraction is used. In color feature extraction, RGB and HSV parameters are used and for texture features, the Gray Level Co-occurrence Matrix (GLCM) approach is applied. Furthermore, the characteristic results obtained will be classified using the Self-Organizing Map (SOM) algorithm which divides the input patterns into certain classes so that the network output is in the form of classes that have similarities to the given input. Based on the results of the accuracy test, the built model is capable of producing an accuracy of 89.89%. Thus, the SOM model built for image classification of snapper species is in the good category.
Pengaruh Data Preprocessing terhadap Imbalanced Dataset pada Klasifikasi Citra Sampah menggunakan Algoritma Convolutional Neural Network
Authors: Resa Arif Yudianto Muhammad , Sukmasetya Pristi , Abul Hasani Rofi , Sasongko Dimas
Published: April 2023

Garbage is one of Indonesia's most significant problems with an increase in waste each year reaching 187.2 million tonnes/year. Various efforts to reduce the amount of waste such as Garbage Banks have been encouraged. However, this program has not run well, because some people have difficulty distinguishing the type of waste. One solution to overcome this problem is that need a system that can classify the type of waste. The deep learning approach with the CNN algorithm is currently widely used to solve classification problems. This method requires a large number of datasets to increase the level of accuracy. Getting a garbage dataset is a particular problem in the training process because the dataset is unbalanced. The dataset used amounted to 2527 data consisting of 6 classes. Several treatments such as undersampling and image augmentation are applied to overcome imbalanced datasets. Other treatments such as the type of input image channel and the use of filters are combined into 24 experimental scenarios to achieve the highest accuracy. The results of the experiment get the best scenario, namely, the dataset is undersampling and then augmented with 5 geometric transformation parameters with the input image being RGB and applying a sharpening filter to get an accuracy value of 0.9919 with 20 epochs.
Pengatur Suhu Otomatis Pada Solar Water Heater Berbasis IoT
Authors: Rosiana Elfirza , Abdurahman Abdurahman , Gunastuti Dwi Anie , Aditya Sugeng
Published: April 2023

Humans in everyday life really need energy. Energy use is expected to be sustainable, safe and clean. Solar is a renewable energy source that sustains life on earth, it can be utilized through photovoltaic and solar thermal systems. Solar thermal systems that capture solar energy can be used directly for water heating purposes. So that an environmentally friendly water heater can be created. This water heater is a solar water heater. Another problem is that the temperature setting for hot water is still manual, causing waiting time and wasted energy when mixing water is not according to your wishes and needs. The solution requires an automatic temperature regulator is needed on a solar water heater. The DS18B20 temperature sensor is used to read the water temperature, the Wemos D1 R2 microcontroller will consider whether the temperature read is appropriate or not according to the user wishes. If it is not suitable, it will instruct the relay to be active and turn on the water pump to circulate water to the heating collector. Setting the desired temperature can be done remotely using Internet of Things technology. From the results of testing the tool, the solar water heater that has been made is capable of providing hot water temperatures of 50.25 °C, 46°C, 43.12 °C when the tank contains 10 liters, 20 liters and 30 liters of water. The set point setting was successfully done using the blynk platform
Sistem Pendukung Keputusan Penentuan Pengangkatan Karyawan Kontrak Menjadi Karyawan Tetap Menerapkan Metode Preference Selection Index (PSI)
Authors: Bani Alexius Ulan , Prambodo Yoga Listi , Azlan Azlan
Published: April 2023

Employees are the main and most important element in the running of a company. The quality of employees is a determinant of how an employee's foundation is. In order to improve the quality of each employee, it is necessary to separate employees, between contract employees and permanent employees. the large number of employees may make the management confused in determining who should be made permanent employees. Therefore, a system is needed that can assist the government in selecting permanent employees. The system is a decision support system. A decision support system is a system where the process is carried out using a unified system with a method or more than 1 (one) method that is carried out using a computer base. SPK is used to assist certain elements in choosing or making a decision. Many methods can be used in DSS, in this study the PSI method was used. PSI is a method used in solving problems where the problem has many alternative choices of attributes. With this study, the results were that the best alternative was Dicky as an alternative B15 with a value of 0.8977, which in the end was suggested to be a permanent employee
Analisis Kepuasan Pengguna Sistem Informasi E-Campus Menggunakan Metode E-Servqual Dan Model Kano
Authors: Nurhadi Muhammad , Hamzah Muhammad Luthfi , Ahsyar Tengku Khairil , Jazman Muhammad
Published: April 2023

This study aims to identify the dimensions and service attributes that need to be improved, as well as improvements related to the quality of services provided by the e-campus system to students at UIN Mahmud Yunus Batusangkar. It also aims to identify the quality of services provided by the e-campus system to students. in order to provide advice or consideration to improve the quality of the e-campus system to the campus or developer, which in turn will produce a solution to improve the quality of the e-campus system for user satisfaction. The procedures used include 5 stages are planning, gathering information processing information analysis and the latest reporting review. The research results created calculations using e-servqual procedures of 0.92 ≤ 1, showing that the quality of the services provided could be said to be unable to fulfill students' expectations. If the level of performance is met, it will bring about a very large increase in user satisfaction. But if not fulfilled, it will reduce the level of satisfaction. Whereas the canoe model gets eight attributes included in the must-be category, eight one-dimensional attributes and six attractive attributes. The ranking level obtained is a source of attributes that are prioritized to be improved. Every attribute that has a very large negative value will also be less effective in achieving user satisfaction
Sistem Pendukung Keputusan Pemilihan Instruktur Bimbingan Belajar Menggunakan Metode PSI (Preference Selection Index)
Authors: Fauziyah Fauziyah , Nugroho Fifto , Buulolo Efori
Published: April 2023

Service activities aim for the long term in creating HR (Human Resources) who have knowledge and creativity in the field of computers, especially in graphic design and multimedia applications. This training aims to train students in using tools in graphic design applications, for example. Corel Draw, so students are expected to know how to plan and develop students' creative abilities in designing. This activity is carried out using the social method of graphic design applications using the Corel Draw application, and an instructor who is an expert in the field of graphic design. to guide the operation of the application, thereby helping trainees in the practice of making designs. Decision support system, is a system that is used to facilitate decision making in selecting a graphic design training instructor, where the decision making process is basically choosing alternative decisions in determining the eligibility of a person to become a design training instructor, the assessment can be seen from several assessment criteria, namely experience, consistent, creative and communicative. In facilitating the selection process, a decision support system is used using the PSI (Preference Selection Index) method to produce the best weights and preferences. So that the final result obtained as a tutoring instructor is alternative A11 on behalf of Sriwulan with the first rank with the highest score of 0.9196
Penerapan Metode MOOSRA dan MOORA dalam Keputusan Pemilihan Produk Asuransi Terbaik
Authors: Suryanto Andik Adi , Alam Sitti Nur , Widjaja Warkianto , Wijaya Hamid , Adhicandra Iwan
Published: April 2023

At present, public opinion regarding the selection of insurance products is very low because people still do not understand enough to insure themselves against a product that will guarantee their necessities of life. Especially now that there are so many insurance products out there, it's likely that people don't want to register for insurance. Therefore, people must be careful in choosing an insurance product so that it fits what they want. The Decision Support System is a computerized system and is designed to assist management in making decisions to solve semi-structured and unstructured problems so that the decision-making process can be of higher quality. This application that will be made is an application that is guided by the MOORA method. Therefore, an application that is guided by the MOORA method is very suitable for calculating insurance product selection. From the results of our research we conducted the MOOSRA and MOORA methods for selecting insurance products easier and more precise than the manual work method. applying the MOORA method produces an alternative A5, namely Prudential with a value of 0.217 as the best alternative.
Hoax Detection Using Long Short-Term Memory (LSTM) and Gate Recurrent Unit (GRU) on Social Media
Authors: Putra Dion Pratama , Setiawan Erwin Budi
Published: April 2023

There are negative effects of the ease of obtaining information in today's society, one of which is the rise of hoaxes on the internet. As much as 92.40% of social media platforms such as Twitter are used to spread hoaxes. Launched on July 13, 2006, Twitter is a microblogging service where users can spread information at no cost to themselves or others. In this study, the authors will conduct hoax news detection on Twitter social media using the Long Short - Term Memory (LSTM) method and Gate Recurent Unit (GRU) and gloVe feature expansion. with a dataset of 25,234 data which produces accuracy results in TF-IDF on each model, namely 97.33% in LSTM and 96.75% in GRU, and an increase in accuracy of 0.22% in the tweet corpus on LSTM and an increase in accuracy of 0.15 in the BeritaTweet corpus on GRU.
Sistem Monitoring dan Kontrol Aeroponik Menuju Smart Greenbox untuk Tanaman Selada berbasis IoT
Authors: Karna Nyoman , Naufal Rangga , Raniprima Sevierda , Putra I Kadek Andrean Pramana , Rahyuni Dewa Ayu Putu , Parti I Ketut
Published: April 2023

Horticultural commodities are agriculture that has a lot of demand in the market. Based on this, a planting system with the aeroponic method was made with an IoT-based monitoring and control system so that its growth is maintained. A system with complex planning is needed to simplify human life. Then a remote monitoring and control system was designed with IoT technology in the aeroponic method.   The way this tool works is to send sensor data from the Node MCU via the internet to the cloud and the data is stored in real-time in the Firebase, the data is sent to the Android platform so that the data can be read by the user and the data is sent to a Google spreadsheet automatically which will later be analyzed. Will update data every 15 minutes.   In this study, calibration of the DHT11 sensor with HTC Digital obtained an accuracy of 95.5% humidity and 97% temperature, the LDR sensor with LUX meter obtained an accuracy rate of 75.163%, pH sensor with pH meter 97.33%, ultrasonic sensor and ruler. get 100% accuracy, the bandwidth used is 20 Mbps. The network quality test is delayed, with 3 different test times, busy hours (19.00 - 23.00 WIB), empty hours (01.00 - 03.00 WIB), normal hours (12.00 - 14.00 WIB). From network testing, the minimum delay is 0.255 seconds, and the maximum is 0.291 seconds. The results of testing tools during seeding, lettuce plants can grow well.
Penerapan Data Mining Pada Analisa Pola Pembelian Obat Menerapkan Algoritma Hash Based
Authors: Aldisa Rima Tamara
Published: April 2023

Along with the times, human life is also developing. Both from the mindset, perspective and way of life. The development of the times requires society to participate in developing following an increasingly sophisticated era. One of the developments that cannot be denied in social life is the development of increasingly sophisticated technology. So that in doing a business skills are needed in managing and managing a business in accordance with technological developments. The business of selling drugs or often called pharmacies is a business that is spread in almost all corners of the world, including in Indonesia. Pharmacy is a business engaged in medicine. Pharmacies sell various types of drugs that are likely to be prescribed by a medical doctor, or other drugs that are commonly purchased by the public. Here the author's case study is one of the pharmacies in the East Jakarta area. The sustainability of a business can be influenced by several aspects, but the main aspect that is very influential is business management. The database is information about all transactions that have been carried out in the business. Where with the previous sales database, business owners can assess which products are of great interest to consumers and which are not of interest to consumers. This can help business owners prevent losses in terms of expiration dates and manage stocks of goods. This management should be done by optimizing data mining by applying a hash-based algorithm. The Hash Based Algorithm is an algorithm that aims to find combination patterns of several alternatives with criteria or attributes that are used as comparisons by calculating using filtering techniques so as to produce an itemset combination pattern. Based on the results of research using a hash based algorithm, 3 itemsets were produced which became the top priority, namely B = Amoxiline, E = Amyl Nitrite and G = Biotin with a support value of 20% and 50% confidence
PENGAWASAN SATUAN POLISI PAMONG PRAJA PADA PEDAGANG KAKI LIMA DI KECAMATAN BANGKO KABUPATEN ROKAN HILIR
Authors: Afrizal Afrizal , Heriyanto Meyzi , Yuliani Febri
Published: April 2023

ABSTRACT

The purpose of this study was to determine and describe the implementation of the duties of the Civil Service Police Unit in controlling street vendors in Bangko District, Rokan Hilir Regency and to find out the obstacles in carrying out the duties of the Civil Service Police Unit in controlling street vendors in Bangko District, Rokan Hilir Regency. The type in this research is a descriptive form, namely the type of research that describes the variables studied in research and quantitative form, namely research in the form of percentages and ends with drawing conclusions and giving suggestions. This research was conducted at the Civil Service Police Unit Office located in Batu 6 Office Complex. The types and sources of data collected in this study consisted of primary data and secondary data. From the description of the results of the recapitulation of the results of the research, both through the distribution of questionnaires and interviews, it can be concluded that the influence of the Civil Service Police Unit, Bangko District, Rokan Hilir Regency in maintaining public order in Bangko District, Rokan Hilir Regency (the study of Street Vendors) was carried out in a fairly good category.
OPTIMALISASI PENERIMAAN PAJAK DAERAH DALAM MASA COVID-19 TERHADAP PENDAPATAN ASLI DAERAH KOTA PEKANBARU
Authors: Habib Habib
Published: April 2023

ABSTRACT

The decline in local tax revenues, especially hotel and restaurant taxes, experienced the deepest decline. The hotel tax that is usually collected is Rp. 4 billion in a month, now only Rp. 200 million. The decline also occurred in restaurant taxes. Restaurant taxes that normally collect Rp 11 billion per month now only collect Rp 2 billion. The data above shows that there have been some declines in several tax items, but the Pekanbaru City tax target has remained stable in the first two semesters of 2020, local taxes collected in the period January to June 8 amounted to Rp. 198 billion. Meanwhile, tax revenue at Bapenda Pekanbaru in the second quarter of 2020 reached IDR 256 billion. Based on data from the Pekanbaru City Regional Revenue Agency (BAPENDA), the total amount of Pekanbaru City taxes with achievements for 2020 is 537.8 billion. Even though it is still in Covid-19 conditions, Pekanbaru City Tax is still better than 2018. This study aims to determine the optimization of local tax revenue during the Covid-19 period for local revenue in Pekanbaru City. This study used descriptive qualitative method. Data collection techniques using observation, interviews and documentation using the snowball method as a source of information. The results of this study indicate that from several sources of PAD, the main concern is tax revenue. In this tax revenue, the realized value achieved increased before the pandemic period, and remained stable during the pandemic. From this basis it can be seen that the regional tax sector has quite an influence on Pekanbaru City's PAD even in the Covid-19 situation..
PENDIDIKAN KEWARGANEGARAAN BERBASIS LITERASI DIGITAL: SUATU ALTERNATIF PEMBELAJARAN KARAKTER MENUMBUHKAN KEADABAN KEWARGAAN
Authors: Kusnadi Kusnadi
Published: April 2023

ABSTRACT

Citizenship Education is held to shape the character and personality of the community by the values ​​of Pancasila. Citizenship education must reach all levels of society through information and communication technology. The quality of learning for Citizenship Education is one of the educational challenges that must be faced. Learning that involves students' activeness in the learning process is an effort to improve the quality of education. Learner-centred learning can create a system that supports students in engaging in a more attractive, dynamic, and varied learning experience. With advances in information and communication technology, efforts to improve learning can be carried out through attitudes in responding to the quality of technology application in a digital-based system known as digital literacy. The method used in the analysis of this discussion is a literature study. In this article, we discuss Digital Literacy as a Technological Competency, Citizenship Education as a vehicle for character education, and Digital Literacy-Based Citizenship Education Learning in Fostering Citizenship Civilization as National Character.