bluuebunny/crossref_metadata_2025 huggingface dataset:
Penerapan Pengendalian Ketersediaan Obat Instalasi Farmasi RSUD Anugrah Tomohon Berbasis Web
Authors: Manampiring Yudisitra , Rindengan Yaulie D.Y. , Lumenta Arie .S.M
Published: January 2024

Abstract — The Anugrah Tomohon Regional Umun Hospital is a sector or community health service institution. One element of management is pharmaceutical management at the hospital. For now, drug data collection is still manual and is a disadvantage because drugs ordered at pharmacies outside the hospital are more expensive than buy to distributors. Data in the procurement of drug supplies is recorded and entered into a book which allows the process of recording drug data to take a long time. The goal is to help plan drug inventory control. provide information on drug stocks, selling prices, purchase prices from suppliers and can facilitate recording of drug entry and expenditure. The application of this Drug Inventory Information System can categorize drugs and can view sales reports from customers and purchases from suppliers. The solution provided for this Pharmacy Installation Unit Activity is the Development of a Drug Availability Control Information System at the Web-Based Pharmacy Installation of Anugrah Tomohon Hospital, using the Waterfall method which is systematic and sequential in creating or building a Software. Suggestions are needed from the development of drug availability control applications by adding special forecasting methods so that the system can predict data properly.
 
Keywords : Inventory; Medicine; Pharmaceutical Installation; Waterfall;  Web.
              Abstrak — Rumah Sakit Umun Daerah Anugrah Tomohon merupakan sebuah sektor atau lembaga layanan kesehatan masyarakat .Salah satu unsur manajemen adalah manajemen kefarmasian di rumah sakit.Untuk saat ini pendataan obat yang masih manual dan menjadi sebuah kerugiaan dikarenakan obat yang di pesan di apotik luar rumah sakit harganya lebih signifikan lebih mahal dibandingkan membeli ke distributor. Data dalam pengadaan persediaan obat di catat dan dimasukan ke dalam buku yang memungkinkan proses waktu pencatatan dat-data obat agak lama. Tujuannya yaitu membantu merencanakan pembuatam sistem  informasi manajemen persediaan obat memberikan perincian tentang stok obat, harga jual, dan harga pemasok. Dan juga dapat mempermudah pencatatan pemasukan dan pengeluaran obat. Obat dapat diklasifikasikan menggunakan sistem informasi ketersediaan obat ini, dan pengguna dapat memantau data penjualan pelanggan dan transaksi pemasok.. Solusi yang diberikan untuk kegiatan unit farmasi ini adalah pembuatan Penerapan Sistem Informasi Pengendalian Ketersediaan Obat di Instalasi Farmasi RSUD Anugrah Tomohon Barbasis Web,dengan menggunakan metode  Waterrfall yang dimana metode ini bersifat sistematis dan berurutan  dalam membuat atau membangun sebuah Software. Saran yang di perlukan dari pengembangan aplikasi pengendalian ketersediaan obat ini dengan metode peramalan khusus  sehingga sistem dapat meramalkan data dengan baik.
 
Kata Kunci : Instalasi Farmasi; Persediaan obat;  Waterfall; Web.
Animasi 3 Dimensi Pembuatan Gula Aren
Authors: Kondoy Tesalonika , Rumagit Arthur M. , Kaunang Sumenge T.G.
Published: January 2024

Abstract - One way to maintain and develop traditional cultural heritage is to take advantage of available technological advances. Currently, there is no production of three-dimensional animation depicting the process of making palm sugar. The use of this technology allows us to create and design three-dimensional animations which are not only used as a means of entertainment in the film industry, but can also be applied in various contexts. For example, three-dimensional animation can be used as a visual socialization medium that can create new ways of conveying information. With the aim of making a 3-dimensional animation application for making palm sugar to introduce the process of making palm sugar, because currently there are still many people who do not know about how to make palm sugar. By taking advantage of current technological advances, it is hoped that three-dimensional animation can become an attractive and easier-to-understand medium in conveying information. Thus, the public's curiosity about the process of making palm sugar is expected to increase. In this study using the MDLC (Multimedia Development Life Cycle) method. The MDLC method has six stages and these six stages help during the process of making a 3-dimensional animation application for making palm sugar. The making of this application uses Blender, Wondershare Filmora and Unity tools.
Keywords: Application, Animation, Multimedia Development Life Cycle, Blender, Wondershare filmora, Unity
 
Abstrak - Salah satu cara untuk mempertahankan dan mengembangkan warisan budaya tradisional adalah dengan memanfaatkan kemajuan teknologi yang tersedia. Saat ini, belum ada produksi animasi tiga dimensi yang menggambarkan proses pembuatan gula aren. Penggunaan teknologi ini memungkinkan kita untuk membuat dan merancang animasi tiga dimensi yang tidak hanya digunakan sebagai sarana hiburan dalam industri perfilman, tetapi juga dapat diterapkan dalam berbagai konteks. Sebagai contoh, animasi tiga dimensi dapat digunakan sebagai media sosialisasi visual yang dapat menciptakan cara baru dalam menyampaikan informasi. Dengan tujuan pembuatan aplikasi animasi 3 dimensi pembuatan gula aren untuk memperkenalkan proses pembuatan dari gula aren, karena saat ini masih banyak masyarakat yang belum mengetahui tentang cara pembuatan dari gula aren. Dengan memanfaatkan kemajuan teknologi saat ini, diharapkan animasi tiga dimensi dapat menjadi media yang menarik dan lebih mudah dipahami dalam menyampaikan informasi. Dengan demikian, rasa keingintahuan masyarakat terhadap proses pembuatan gula aren diharapkan dapat meningkat. Pada penelitian ini menggunakan metode MDLC (Multimedia Development Life Cycle). Metode MDLC memiliki enam tahap dan keenam tahapan tersebut membantu selama proses pembuatan aplikasi animasi 3 dimensi pembuatan gula aren. Pembuatan aplikasi ini menggunakan tools Blender, Wondershare Filmora dan Unity.
Kata kunci : Aplikasi, Animasi, Multimedia Development Life Cycle , Blender, Wondershare filmora, Unity
Aplikasi Realitas Tertambah untuk 12 Gerakan Pengaturan Lalu Lintas
Authors: I Nyoman Suwira Deva  , Tuturoong Nancy Jeane , Kaunang Sumenge Tangkawarouw Godion
Published: January 2024

In order to guarantee the safety, security, order, and smoothness of traffic, it is necessary to carry out traffic management which includes the activities of planning, regulating, supervising, and controlling traffic. However, learning about traffic science, including the science of traffic control movements, is still very minimal among the public. Meanwhile, knowledge of traffic control movements is important for the public to understand in order to create a safe and orderly atmosphere when driving on the road, and to reduce the potential for traffic accidents. So a research was made that could develop an application for recognizing 12 traffic control movements by applying augmented reality technology to the public in an easy-to-understand way. The application developed uses augmented reality technology with the image target method. Application development is carried out using the Multimedia Life Cycle (MDLC) development method. This research succeeded in producing an application that is able to introduce 12 traffic control movements by applying augmented reality technology to the public in an easy-to-understand way.
Klasifikasi Ikan Cakalang dan Tongkol Menggunakan Convolutional Neural Network
Authors: Arrank Tonapa Wellifan , D.K. Manembu Pinrolinvic , D. Kambey Feisy
Published: January 2024

Abstract — Indonesia has a rich diversity of fish species, especially marine fish species. However, the abundance of fish species also poses challenges for the community in classifying each species. This challenge becomes even more significant when dealing with species that share similar physical characteristics, such as the pelagic fish group, which includes skipjack tuna (Katsuwonus pelamis) and mackerel tuna (Euthynnus affinis). Therefore, it is essential to have a profound understanding of fisheries science to accurately classify each fish species. With advancements in current technology, species classification can be automated using image-based classification methods. This research employs the Convolutional Neural Network (CNN) method to classify skipjack tuna and mackerel tuna species. The research results in a CNN classification model constructed using a transfer learning approach by leveraging the pre-trained ResNet50 model available in Keras Applications. The CNN Classification Model generated achieves a performance with a 95% accuracy rate, an average macro precision of 95%, an average macro recall of 95%, and an average macro F1 score of 95%.

Key words— Classification; Convolutional Neural Network; fish species; Transfer Learning; Image.

     Abstrak — Indonesia memiliki banyak keanekaragaman spesies ikan, terutama spesies ikan laut. Namun, keberagaman spesies ikan yang banyak juga menimbulkan kesulitan bagi masyarakat dalam melakukan klasifikasi pada setiap spesies ikan yang ada. Apalagi, pada beberapa spesies ikan yang memiliki fisik yang hampir sama, seperti kelompok ikan pelagis, yaitu cakalang (Katsuwonus pelamis) dan tongkol (Euthynnus affinis). Oleh karena itu, penting untuk memiliki pemahaman mendalam tentang ilmu perikanan agar dapat melakukan klasifikasi yang benar terhadap setiap spesies ikan. Dengan kemajuan teknologi saat ini, pengklasifikasian spesies ikan dapat dilakukan secara otomatis menggunakan metode klasifikasi berdasarkan citra. Penelitian ini menggunakan metode Convolutional Neural Network (CNN) untuk mengklasifikasikan spesies ikan cakalang dan tongkol. Penelitian ini menghasilkan model klasifikasi CNN yang dibangun menggunakan pendekatan transfer learning dengan memanfaatkan model pre-trained ResNet50 yang tersedia di Keras Applications. Model Klasifikasi CNN yang dihasilkan mendapatkan nilai performa akurasi 95%, rata-rata makro precision 95%, rata-rata makro recall 95%, rata-rata makro f1 score 95%.

Kata kunci — Citra; Convolutional Neural Network; Klasifikasi; Spesies Ikan; Transfer Learning.
STUKTUR KOMUNITAS PADANG LAMUN DI SEKITAR DESA TOSEHO KECAMATAN OBA KOTA TIDORE KEPULAUAN
Authors: Irwan Anisa , Sondak Calvyn F. A. , Tilaar Sandra O. , Angkouw Esther D. A. , Windarto Agung B. , Wagey Billy Th.
Published: January 2024

Seagrasses are flowering plants that are fully adapted to being immersed in seawater. Seagrass plants consist of rhizomes, leaves and roots. This study aims to identify the types of seagrasses and determine the structure of seagrass community. This research was conducted in July 2023 around Toseho Village, Oba Subdistrict, Tidore City Kepulaun with coordinate points on transect 1 which is 0°21'20.72 "U, 127°38'58.46 "T. on transect 2 0°21'21.78 "U, 127°38'57.32 "T and on transect 3 which is 0°21'22.86 "U, 127°38'56.14 "T. The method used in this research is quadrant line transect method. Based on the results of the study, it can be concluded that there are 6 types of seagras in Toseho Village, namely Thalassia hemprichii, Enhalus acoroides, Cymodocea rotundata, Halophila ovalis, Halodule univervis and Sryngodium isoetifolium. From the results of data analysis, it was found that Thalassia hemprichii was the most dominating seagrass species in each of the 3 quadrant transects. Seagrass species diversity in Toseho Village has a medium level of species diversity (1 ≤H'≤3 Medium species diversity).Keywords: Seagrass, Community Structure, Toseho Village

ABSTRAKLamun merupakan tumbuhan berbunga yang sepenuhnya menyesuaikan diri untuk terbenam dalam air laut. Tumbuhan lamun terdiri dari rhizome, daun dan akar. Penelitian ini bertujuan untuk mengidentifikasih jenis-jenis lamun dan mengetahui struktur komunitas padang lamun. Penelitian ini dilakukan pada bulan Juli 2023 di sekitar Desa Toseho Kecamatan Oba Kota Tidore Kepulaun dengan titik kordinat pada transek 1 yaitu 0°21’20.72”U, 127°38’58.46”T. pada transek 2 0°21’21.78”U, 127°38’57.32”T dan pada transek 3 yaitu 0°21’22.86”U, 127°38’56.14”T. Metode yang digunakan dalam penelitian ini yaitu metode line transek kuadran. Berdasarkan hasil penelitian maka dapat disimpulkan bahwa ditemukannya 6 jenis lamun di Desa Toseho yaitu Thalassia hemprichii, Enhalus acoroides, Cymodocea rotundata, Halophila ovalis, Halodule univervis dan Sryngodium isoetifolium. Dari hasil analisi data didapatkan bahwa Thalassia hemprichii merupakan jenis lamun yang paling mendominasi di setiap 3 transek kuadran. Kenekaraman jenis lamun di Desa Toseho memiliki tingkat keanekaragaman jenis sedang (1 ≤H′ ≤ 3 Keanekaragaman spesies sedang).Kata Kunci: Seagrass, Community Structure, Toseho Village
Honestidad académica: pensar en la historia de las ideas
Authors: Carrera-López Leticia
Published: January 2024

El texto pretende repensar como se aborda el tema de estilos de citación y el plagio académico.
Transformando la ingeniería con SolidWorks
Authors: Lemus Solorio Martha Angélica , Campuzano Milian Damian
Published: January 2024

Este artículo explora cómo SolidWorks, un software de diseño asistido por computadora (CAD), ha revolucionado la ingeniería moderna al permitir la creación de productos vanguardistas y eficientes. A través de mi experiencia personal como ingeniero mecánico en la agroindustria, destaco cómo SolidWorks ha sido un aliado esencial en el desarrollo de máquinas clasificadoras de frutas y hortalizas. Desde la concepción de proyectos hasta la producción, SolidWorks ha permitido una precisión sin precedentes, optimización de diseños y colaboración efectiva. Además, se exploran las ventajas clave de SolidWorks en la innovación del diseño, eliminación de errores y estímulo a la colaboración, transformando la manera en que creamos y construimos productos ingenieriles.
Aristóteles, Boecio y el significado de las palabras
Authors: Bustamante Penilla Carlos Alberto
Published: January 2024

Uno de los problemas clásicos de la filosofía del lenguaje es el de la significación. Dicho problema surge desde el momento en que se acepta que las palabras no designan directamente a los objetos, sino que significan algo, y es más bien ese significado el que remite a las cosas propiamente dichas. La naturaleza del significado, instancia intermedia entre las palabras y las cosas, es el motivo del problema. En el presente trabajo se alude a los primeros intentos filosóficos por esclarecer la cuestión del significado, específicamente en la línea que conduce desde Aristóteles hasta Boecio, es decir, desde la teoría que explica la significación con base en ciertos hechos mentales o “afecciones del alma”, según los llama Aristóteles, hasta la idea de que nuestros intelectos aprehenden algún tipo de forma incorpórea en los objetos, constituyendo dichas aprehensiones metafísicas los significados “universales” de los sustantivos que nombran géneros y especies.
Biochips to measure ultraviolet light absorption by leukemia cells
Authors: Inada Shunko A.
Published: January 2024

During the treatment of leukemia, side effects create a great burden for patients. Therefore, new therapies to replace conventional chemotherapy and hematopoietic stem cell transplantation are highly desirable. In a previous study, I found that UV irradiation at 365 nm induced apoptosis in 98% of leukemia (Jurkat T) cells. To determine the most suitable wavelength for such treatments, it is necessary to measure the UV light absorption of cancer cells. In this study, a biochip was fabricated and evaluated for this purpose. Three types of leukemic cells (human acute myelogenous leukemia cells, human acute lymphoblastic leukemia cells, and human chronic myelogenous leukemia cells) were injected into the biochip, and light absorption was measured, revealing that individual leukemic cells have different light absorption characteristics. This variation is important in order to develop an implant care device to treat leukemia more effectively.
Effects of high-dose gamma-ray irradiation on an In0.53Ga0.47As high electron mobility transistor
Authors: Shim Jae-Phil , Kim Dong-Seok , Jang Hyunchul , Shin Ju-Won , Park Deok-Soo , Kim Donghyun , Shin Chan-Soo , Shin Seung Heon
Published: January 2024

We investigate the effects of gamma-ray (γ-ray) irradiation on an In0.53Ga0.47As high electron mobility transistor (HEMT). After γ-ray radiation, the irradiated HEMT shows degradation of the maximum transconductance (g

m,max
), the unity current gain cutoff frequency (f

T
), and the maximum oscillation frequency (f
max)—about 12.8%, 18.0%, and 16.9%, respectively—because of an increase in on-resistance (Ron) in In0.53Ga0.47As HEMTs exposed to high-dose γ-ray radiation. Moreover, we obtain a minimum noise figure (NFmin) of about 1 dB from 8 to 40 GHz for the irradiated HEMT, which is a lower value compared to a non-irradiated HEMT; this is because the gate leakage current is reduced after γ-ray irradiation.
High surface proton conduction of a-axis oriented CeO2−δ
thin film on (200) YSZ substrate
Authors: Tani Minami , Notake Go , Kadowaki Takemasa , Yamada Mariko , Higuchi Tohru
Published: January 2024

We have prepared a-axis oriented CeO2−δ
thin films prepared on yttrium-stabilized zirconium (200) single crystal substrates by RF magnetron sputtering using a ceramic target. The amount of oxygen vacancies in the CeO2−δ
thin films was quantitatively evaluated by X-ray absorption spectroscopy and defect chemical analysis. In terms of its electronic structure, the O 1s photoemission spectrum of the wet-annealed film shows an O–H bond peak, which suggests proton conduction. The a-axis oriented CeO2−δ
thin film annealed at 600 °C in a wet atmosphere exhibit high proton conductivity of more than 101 Scm−1K at medium temperature range from 300 °C to 550 °C by thermal activation process and surface proton conductivity of σT = ∼7.0 × 10−1 Scm−1K by Grotthuss mechanism below 50 °C. The enhancements of proton conductivities are considered to be due to large amount of oxygen vacancies of ∼3.3% at the surface of wet-annealed CeO2−δ
thin film. These results indicate that the wet-annealed a-axis oriented CeO2−δ
thin films can be applied as an electrolyte for solid oxide fuel cell operating at medium temperature range or electric double layer transistor operating below 50 °C.
Association of lexical and collocation knowledge: A comparative analysis of native speakers and nonnative learners of English
Authors: Kim Sung-Yeon , Shin Dongkwang , Kim Kyung-Sook
Published: January 2024

To provide a comprehensive estimate of Korean college students’ lexical competence, this study compared L2 learners’ (EFL) use of single words and collocations with that of native speakers (NSs). The study compiled two text corpora, one from an existing native corpus and the other with texts from Korean EFL learners at three proficiency levels. There were significant differences between the two corpora in lexical diversity, although the difference between advanced EFL learners and NSs was non-significant, indicating that advanced learners were on par with NSs in terms of using a diverse range of words. In a comparison of lexical distribution of single words, however, these advanced learners were found to use words between the 1K and 4K level, whereas NSs used words beyond this level. This suggests the need to cover a wider range of words in classroom teaching and assessment. Regarding collocational knowledge, the difference between the NSs and EFL group was apparent and statistically significant, regardless of learners’ proficiency levels. Namely, EFL learners used far fewer collocations in a smaller range than their counterparts. The learners’ limited collocational competence indicates that collocations should be considered an integral component of the curriculum, instruction, and assessment.
Non-Communicable Diseases (NCDs) Information System
Authors: Agushybana Farid , Purnami Cahya Tri , Dharminto
Published: January 2024

Non-communicable diseases (NCDs) are the leading cause of death worldwide. In Indonesia, NCDs has increased and shifted patterns. Changes in behavior and lifestyle increase the risk of NCDs. Difficulties in monitoring treatment and patient visits are a challenge for health workers. Currently, there is still no integrated information system for patient monitoring. The general objective of this research is to develop an integrated Non-Communicable Disease Information System (NCDSI) in Semarang City. The current study uses the Rapid Application Development (RAD) method with a qualitative approach. RAD is a complete approach model for information system development and covers the entire system life cycle. This research was conducted in three stages: planning and needs analysis, designing, developing, and collecting feedback. During the development and collection of feedback, functionality testing activities are carried out to obtain feedback and evaluation as the system is improved. The research was carried out by the Semarang City Office. The functional test subjects consisted of three agents and five patients with primary hypertension and diabetes mellitus. The results: the planning and needs analysis phases were carried out through thorough interviews with end-users. The system design phase was described through contextual diagrams and database tables, and the development and feedback phase was conducted through the NCDSI functionality test.  Conclusion: The developed NCDSI has been integrated and has four user levels (users of the City Health Office, Head of Puskesmas, Cadres, and patients).
Comparison of the performance of linear discriminant analysis and binary logistic regression applied to risk factors for mortality in Ebola virus disease patients
Authors: Lawanga Ontshick Leader , Mulangu Sabue Jean-Christophe , Mbala Kiangebeni Placide , Tshiani Mbayi Olivier , Nsengi Ntamabyaliro Jean-Michel , Muyembe Tamfumu Jean-jacque , Mabela Makengo Matendo Rostin
Published: January 2024

Our study aimed to identify risk factors associated with mortality in Ebola patients using binary logistic regression analysis and linear discriminant analysis, and to assess the predictive power of these two methods. Our study was a randomized, double-blind, controlled (observational) clinical trial conducted in 2018 during the 10th Ebola outbreak in eastern DRC. The study included 363 patients divided into two treatment arms, including 182 patients treated with MAB114 (Ebang) and 181 patients treated with REGENERON (REGN-EB3 ). After a thorough analysis of the data, both statistical analysis methods selected the same set of variables (risk factors) for the binary logistic regression we obtained: viral load 0.58 (0.5-0.67), creatinine 1.98 (1.58-0.67) and aspartate aminotransferase 0.99 (0.9-1); as for the linear discriminant analysis we have viral load (0.88), creatinine (0.94) and aspartate aminotransferase (0.78). We also see almost the same results when different prediction probabilities are evaluated. Logistic regression predicted a mortality rate of 36.5% and linear discriminant analysis predicted a mortality rate of 38.8%. Using the AUC (area under the curve) score, we were able to evaluate two methods and obtain a score of 0.935 for the binary logistic regression and 0.932 for the linear discriminant analysis. According to the evaluation hypothesis, both methods give the same risk factors (viral load (Ctnp), creatinine and alanine aminotransferase (ALT)) with a probability of 93%.
Parameter Optimization of Support Vector Machine using River Formation Dynamic on Brain Tumor Classification
Authors: Cahya Kemila Azizah , Fawwaz Al Maki Wikky
Published: January 2024

Brain tumor is a condition that can interfece with brain function due to abnormal cell growth in the brain. MRI is used as a diagnostic tool when a patient has a brain tumor. The images obtained through MRI will be analyzed by the doctor to determine the type of tumor. Therefore, it is necessary to have a system that can classify tumor types based on MRI images. The image will be extracted using the HOG method, then classified using SVM. Certain measures can be taken to improve SVM performance, such as optimizing its parameters. This research develops a system that uses a novel combination, the SVM with the River Formation Dynamic (RFD) algorithm. RFD is being used to optimize parameters of SVM (C and gamma). The basic idea of RFD is to imitate the movement of water droplets flowing from high to low areas. This research compares the accuracy produced by SVM with the accuracy produced by SVM-RFD. The result is that SVM-RFD provides the better accuracy than only using SVM. The accuracy result by SVM on the MRI dataset is 74.37%. When we compared it with SVM-RFD, the accuracy increased by 13.19% to 87.56%. Further work will be carried out on the implementation of RFD on other SVM parameters to find other parameter combinations that can improve the accuracy of SVM.
Multi-Stage CNN: U-Net and Xcep-Dense of Glaucoma Detection in Retinal Images
Authors: Desiani Anita , Priyanta Sigit , Ramayanti Indri , Suprihatin Bambang , Rio Halim Muhammat , Geovani Dite , Rayani Ira
Published: January 2024

Glaucoma is a chronic neurological disease in the human eye where there is damage to the nerves which causes vision loss to blindness. Glaucoma can be detected by classifying retinal images. Several previous studies that classified glaucoma did not perform segmentation beforehand. Segmentation is needed to extract the features of the optic disc and optic cup from retinal images that are used to detect glaucoma. This study proposes two stages in the detection of glaucoma, namely the segmentation and classification stages. Segmentation is carried out using the U-Net architecture. Classification is done using a new architecture, namely Xcep-Dense. The Xcep-Dense architecture is a new architecture which is the result of a combination of the Xception and DenseNet architectures. At the segmentation stage, accuracy, recall, precision, and F1-score values are obtained above 90%. The Cohen’s kappa value has a value above 85% and loss below 20%. At the classification stage, accuracy and specification values were obtained above 85%, sensitivity and F1-score above 80%, and Cohen’s kappa above 70%. The predicted image obtained at the segmentation stage has a very similar appearance to the ground truth. Based on the results of the performance evaluation obtained, it shows that the method proposed in this study is feasible in detecting glaucoma.Glaucoma,
Development of a Surveilens System as a Means for Collection and Reporting of Infectious Diseases in Puskodono Health Center, Sragen
Authors: Sari Kiki Puspita , Adi Kusworo , Agushybana Farid
Published: January 2024

Surveillance is an important activity in the context of disease data collection. The results of these surveillance activities can also be used as a consideration for making decisions related to disease management, especially infectious diseases. The aim of the research was to develop an information system for surveillance of infectious diseases for data collection and reporting to support management decision making at the Sukodono Health Center, Sragen.This research method is qualitative and quantitative. Prototype model research development. The research population is all parties involved in the development of an Infectious Disease Management Information System at the Sukodono Health Center, Sragen. The subjects of this study were the Head of the Community Health Center, the Head of the Infectious Diseases Program and the four Communicable Diseases Program Holders. the research object is the Communicable Disease Health Center Management Information System. This research method is qualitative and quantitative. Prototype model research development. The subjects of this study were one head of the health center, one head of the infectious disease program and four holders of the infectious disease program. the research object is the Communicable Disease Health Center Management Information System. Data analysis in this study was carried out by means of content analysis for qualitative and descriptive analysis methods for quantitative. The acquisition of the evaluation results from the total average percentage is Accurate at (62.19%), Complete at (83.89%), timeliness (84.44%), and Relevant at (95.20%). Meanwhile, in terms of data accuracy (accuracy) and completeness of content or data availability (content), information system users are very satisfied, as indicated by the results of the total average percentage of both 80.36 and 99.36% indicating that the user is very confident in the completeness and correctness of the examination data that has been inputted into the information system by paramedics. The results of the evaluation of the information system as a whole are 81.43%, meaning that the Information System for Surveillance of Communicable Diseases can be received and used by users of the information system very well
Implementation of Information Gain Ratio and Particle Swarm Optimization in the Sentiment Analysis Classification of Covid-19 Vaccine Using Support Vector Machine
Authors: Muhamad Fawwaz Akbar  , Muhammad Itqan Mazdadi  , Muliadi  , Triando Hamonangan Saragih  , Friska Abadi
Published: January 2024

In the current digital era, sentiment analysis has become an effective method for identifying and interpreting public opinions on various topics, including public health issues such as COVID-19 vaccination. Vaccination is a crucial measure in tackling this pandemic, but there are still a number of people who are skeptical and reluctant to receive the COVID-19 vaccine. This public perception is largely influenced by, including information received from social media and online platforms. Therefore, sentiment analysis of the COVID-19 vaccine is one way to understand the public's perception of the COVID-19 vaccine. This research has the purpose to enhance the classification performance in sentiment analysis of COVID-19 vaccines by implementing Information Gain Ratio (IGR) and Particle Swarm Optimization (PSO) on the Support Vector Machine (SVM). With a dataset of 2000 entries consisting of 1000 positive labels and 1000 negative labels, validation was performed through a combination of data splitting with an 80:20 ratio and stratified 10-Fold cross-validation. Applying the basic SVM, an accuracy of 0.794 and an AUC value of 0.890 were obtained. Integration with Information Gain Ratio (IGR) feature selection improved the accuracy to 0.814 and an AUC of 0.907. Furthermore, through the combination of SVM based on PSO and IGR, the accuracy significantly improved to 0.837 with an AUC of 0.913. These results demonstrate that the combination of feature selection techniques and parameter optimization can enhance the performance of sentiment classification towards COVID-19 vaccines. The conclusions drawn from this research indicate that the integration of IGR and PSO positively contributes to the effectiveness and predictive capability of the SVM model in sentiment classification tasks.
Implementation of SMOTE and whale optimization algorithm on breast cancer classification using backpropagation
Authors: Erlianita Noor , Itqan Mazdadi Muhammad , Saragih Triando Hamonangan , Reza Faisal Mohammad , Muliadi
Published: January 2024

Breast cancer, which is characterized by uncontrolled cell growth, is the primary cause of mortality among women worldwide. The unchecked proliferation of cells leads to the formation of a mass or tumor. Generally, the absence of timely and efficient treatment contributes to this phenomenon. To prevent breast cancer, one of the strategies involves the classification of malignant and non-malignant types. For this particular investigation, the Breast Cancer Wisconsin dataset (original) comprising 699 instances with 11 classes and 1 target attribute was utilized. Synthetic Minority Oversampling (SMOTE) was employed to balance the dataset, with the Backpropagation classification algorithm and the Whale Optimization Algorithm (WOA) serving as optimization techniques. The main objectives of this study were to analyze the impact of the backpropagation method and SMOTE, examine the effect of the backpropagation method in conjunction with WOA, and assess the outcome of using the backpropagation method and SMOTE after incorporating WOA. The evaluation of the study's findings was performed using a confusion matrix and the Area Under the Curve (AUC) metric. The research outcomes based on the application of backpropagation yielded an accuracy rate of 96%, precision of 94%, recall of 95%, and an AUC of 96%. Subsequently, upon implementing SMOTE and WOA, the performance of the backpropagation method improved, resulting in an accuracy rate of 99%, precision of 97%, recall of 97%, and an AUC of 98%. This notable enhancement in performance suggests that the utilization of SMOTE and WOA effectively enhances accuracy. However, it is important to note that the observed improvements are relatively modest in nature.
Single Objective Mayfly Algorithm with Balancing Parameter for Multiple Traveling Salesman Problem
Authors: YOGA DWI WAHYU NUGRAHA  , HENDRAWAN ARMANTO  , YOSI KRISTIAN
Published: January 2024

The Multiple Travelling Salesman Problem (MTSP) is a challenging combinatorial problem that involves multiple salesman visiting a set of cities, each exactly once, starting and ending at the same depot. The aim is to determine the optimal route with minimal cost and node cuts for each salesman while ensuring that at least one salesman visits each city. As the problem is NP-Hard, a single-objective metaheuristic algorithm, called the Mayfly Algorithm, inspired by the collective behavior of mayflies, is employed to solve the problem using the TSPlib95 test data. Since the Mayfly Algorithm employs a single fitness function, a balancing parameter is added to perform multiobjective optimization. Three balancing parameters in the optimization process: SumRoute represents the total cost of all salesmen travelling, StdRoute balances each salesman cost, and StdNodes balances the number of nodes for each salesman. The values of these parameters are determined based on the results of various tests, as they significantly impact the MTSP optimization process. With the appropriate parameter values, the single-objective Mayfly Algorithm can produce optimal solutions and avoid premature convergence. Overall, the Mayfly Algorithm shows promise as a practical approach to solving the MTSP problem. Using multiobjective optimization with balancing parameters enables the algorithm to achieve optimal results and avoid convergence issues. The TSPlib95 dataset provides a robust testing ground for evaluating the algorithm’s effectiveness, demonstrating its ability to solve MTSP effectively with multiple salesman.
From Imaging Data to Cranioplasty Implant Designs
Authors: Asmaria Talitha , Zain Andi Justike Mahatmala , Pramesti Arindha Reni , Marzuki Azwien Niezam Hawalie , Utomo Muhammad Satrio
Published: January 2024

The cranioplasty procedure is starting from removal the skull bone defects and replacing them with any biocompatible material, such as polymer, ceramic, or titanium alloy. The complication of the surgery as well as the high cost from several material selection required a simulation. Besides that, the case of cranial defects sometimes required a customized design. The presence of three-dimensional (3D) printing technology would be a promising tool to improve the success rate. Prior to 3D printing, the model needs to be corrected from the initial patient’s imaging data to the intended implant design. However, previous related literatures were almost not informing the specific image processing steps to gain the models, while not all operators could understand this sophisticated technique.  The study aims to design an implant bone for cranioplasty purpose. The data were processed through the very clear step-by-step image processing stages, three-dimensional (3D) printing, and its evaluation through biomechanical simulation. Quantitatively, the designed cranioplasty implant could deal with the load in the actual application. Qualitatively, the prototypes have matched if applied to the host of cranium bone. In conclusion, although image processing and refinements are the most complicated process, the whole explanation indicate that the provided precise methodology could be a major reference to the similar procedure.
Sentiment Analysis on Satusehat Application Using Support Vector Machine Method
Authors: Shahmirul Hafizullah Imanuddin  , Kusworo Adi  , Rahmat Gernowo
Published: January 2024

Sentiment analysis is important in language processing and machine learning. SVM is proven to classify positive and negative sentiments with high accuracy effectively. SatuSehat application provides users with various health services and medical information, previously known as the PeduliLindungi Application. Once, this application was used to handle vaccination history used in the new normal era. Along the way, many problems arose due to the immaturity of the application after it was launched, which resulted in many user reviews being given through the Google Play Store application. Therefore, this study aims to determine SVM's performance in classifying user reviews of the SatuSehat application into positive and negative sentiments and to show visualization to find out the most frequent words from user reviews. Based on the research results, 25,000 data were divided into 18,359 negative class data and 6,641 positive class data. At the SVM classification stage, it produces a negative sentiment of 73.4% and a positive sentiment of 26.6%. In addition, the results of the SVM accuracy test obtained a result of 91% with a positive sentiment, namely having a precision test of 92%, a recall of 71%, and an f1-score of 80%, while for negative sentiment, namely having a precision test of 90%, a recall of 98% and f1-score of 94%. The visualization results found that the topics often appearing in positive reviews are good and sometimes great. In contrast, the negative reviews are update, difficult, strange, login, and bug.
Network-Based Molecular Features Selection to Predict the Drug Synergy in Cancer Cells
Authors: Syarifah Aini  , Wisnu Ananta Kusuma  , Medria Kusuma Dewi Hardhienata  , Mushthofa
Published: January 2024

Identifying synergistic drug combinations in cancer treatment is challenging due to the complex molecular circuitry of cancer and the exponentially increasing number of drugs. Therefore, computational approaches for predicting drug synergy are crucial in guiding experimental efforts toward finding rational combination therapies. This research selects the molecular features of cancer cells with a diffusion network-based approach. Additionally, a model is developed using non-linear regression algorithms, namely Random Forest, Extremely Randomized Tree, and XGBoost, to predict the synergy score of drug combinations against the selected cancer cell features. The data used are drug combination screening data and cancer cell molecules provided by AstraZeneca-Sanger DREAM Challenge. The feature selection results  demonstrate the relevance of cancer cell molecular features selected by the diffusion network. The prediction results indicate that the Random Forest algorithm shows a good correlation value of 0.570 in the model with a small dataset. In contrast, for the model with an instance or row size larger than the number of features or columns, the XGBoost algorithm achieves a good correlation value of 0.932.

INDEX TERMS cancer, drug combination, drug synergy, network diffusion kernel, non-linear regression.
MEDIA PEMBELAJARAN BUSUU DALAM PEMBELAJARAN BAHASA ARAB UNTUK PEMULA
Authors: Taufik Taufik , Syifaanddini Shalihah , Rochmahtika A'isyah Sabilla , Qiyamullaily Aliffiyaa Jihan , Nazhifah Aprilia Imroatun , Azharie Habib Januar
Published: January 2024

Learning Arabic as a beginner is a challenge in itself due to differences in accents, grammar, and sentence structure compared to other languages. Moreover, there is the perception that learning Arabic is difficult and tedious. The latest innovations in technology and information in today's era are crucial in the learning process. Mobile technology, especially Android-based media, is expected to address these issues significantly. One Android-based learning application that can be used for learning Arabic as a beginner is Busuu. Busuu is an application developed to assist individuals in learning foreign languages, including Arabic. This research aims to provide contributions and recommendations for developing a more effective and efficient method of learning Arabic using Android-based learning media. The research method used is qualitative descriptive. The research findings indicate that using the Busuu application as an Android-based learning media for beginners is effective and efficient because it is supported by an attractive interface, clear instructions, and valuable features, eliminating the perception that learning Arabic is difficult and tedious.
MODEL AKULTURASI SCHUMANN DALAM BUKU ARABIYAH BAINA YADAIK SEBAGAI PENGEMBANGAN BI’AH LUGHAWIYAH PONDOK AL-ISHLAH LAMONGAN
Authors: Al-Furqaan Dimas Luqman , Sudesi Abdul Rohman
Published: January 2024

In developing bi'ah lughawiyah, which has been running since its inception, Al-Ishlah Islamic Boarding School Lamongan applied the Baina Yadaik Arabiyah textbook. This step was taken so the students could acculturate to the Arab-Islamic culture as contained in Baina Yadaik's Arabiyah book. So, this study aims to analyze Schumann's acculturation model in the Arabic book by Baina Yadaik for the development of bi'ah lughawiyah PP Al-Ishlah Lamongan. The methodology uses a descriptive qualitative research type based on Schumann's perspective. In addition, this study uses a literary approach with primary data sources in the form of Schumann's culturalization model in the book Al-Arabiyah Baina Yadaik. The results and discussion in this study include: 1) the acculturation model includes social variables, namely cultural domination, the pattern of integration, level of exposure to two language groups, level of cohesiveness of the second language learning group, size of the second language study group, level of conformity, and evaluation of attitudes between groups and also psychological variables including language shock, culture shock, ego permeability, motivation; 2) All aspects of cultural competency in Baina Yadaik's Arabiyah book which were developed in bi'ah lughawiyah PP Al-Ishlah Lamongan are in line with the social and psychological variables of the acculturation model from Schumann's perspective.
Citation metrics and strategic mutations of scientific research: narratives and evidence
Authors: Guerra Luca
Published: January 2024

Following the diffusion of the management model promoted by the New Public Management also within universities, sectors until then endowed with particular protection, such as the academic one, were progressively subjected to new controls and constraints, which gradually took the form of quantitative surveys, with a growing role of citation metrics. These evaluation processes have given rise to various important critical positions at an international level.
If it is true that, according to Goodhart's law, "when a measure becomes an objective it ceases to be a good measure”, it is even more significant to note that when a measure becomes an objective, what is measured ceases to be what it was before. The quantitative measurement of academic performance has in fact triggered forms of gaming such as to alter the very game of scientific research, its purposes and the forms of its sharing. In the article we will carry out a comparison between the forms of mutation and the narratives that accompany them to see to what extent we are legitimate today to talk about the transformation of scientific research into strategic scientific research.
Return of the Panther. A university laboratory for the construction of an oral archive
Authors: Manali Sara
Published: January 2024

The article aims to present the activities of the Archival Laboratory at the University of Palermo, which involved the creation of an oral archive about the university movement known as "Pantera" (1989-90). Starting from some general observations about sound documents, oral sources, and sources for studying movements, the contribution reaches the broader project within which the Laboratory's activities unfold: "Limone Lunare," the archive of oral sources about political and social movements in contemporary Sicily. The article is completed with descriptions of the collected interviews.
Conceptual model for universal bibliographic control
Authors: Martin Sandra Gisela
Published: January 2024

A proposal is presented for a conceptual model of universal bibliographic control based on general systems theory (GST) and considered as a global system with a decentralized, distributed, collaborative, interconnected and linked model structure. The CBU is reflected on based on the four principles of relevant knowledge proposed by Morin (1999): context, global, multidimensional and complex; and nine dimensions of analysis are proposed: theoretical/conceptual framework, political, legislative, librarian, collaborative, normative, technological, relational, services.
Efektivitas Anthipertensi Calsium Channel Blocker Dibandingkan Angiostensin Reseptor Blocker Pada Pasien Hipertensi Gangguan Ginjal.
Authors: Desiani Ekanita , Azahro Siti Fatimatul , Azahro Siti Fatimatul
Published: January 2024

Hipertensi dapat menyebabkan kerusakan pembuluh darah pada ginjal sehingga ginjal tidak dapat memfiltrasi darah dengan baik. Penatalaksanakan hipertensi dengan komplikasi gangguan ginjal yang tepat dan efektif dibutuhkan pada pasien kondisi gangguan ginjal untuk mengendalikan tekanan darah maupun memperlambat terjadinya penyakit kardiovaskular. Penggunaan obat antihipertensi Calsium Channel Blocker kombinasi dibandingkan Angiostensin Reseptor Blocker kombinasi memiliki efek terapi menurunkan tekanan darah pada pasien hipertensi gangguan ginjal. Penelitian ini bertujuan untuk mengetahui efektivitas penggunaan antihipertensi Calsium Channel Blokers (CCB) kombinasi dibandingkan Angiostensin Reseptor Blocker (ARB) kombinasi pada pasien hipertensi gangguan ginjal rawat jalan di RSUD Kraton Pekalongan. Penelitian ini termasuk penelitian non – eksperimental observasional dengan data retrospektif pada pasien hipertensi disertai gangguan ginjal pada bulan Januari – Desember 2022. Sampel dalam penelitian ini yaitu rekam medis pada pasien rawat jalan dengan hipertensi gangguan ginjal yang diberikan obat antihipertensi golongan CCB dan ARB kombinasi di RSUD Kraton yang memenuhi kriteria inklusi pasien. Hasil Penelitian menunjukan persentase pasien terbanyak merupakan usia diatas 60 tahun sebanyak 25 orang (48%), jenis kelamin laki – laki sebanyak 32 orang (62%), penggunaan obat antihipertensi golongan ARB +diuretik sebanyak 16 orang (30,7%) dan penggunaan antihipertensi golongan ARB + CCB + diuretik sebanyak 16 orang (30,7%), penggunaan obat ARB kombinasi dan CCB kombinasi mendapatkan hasil tidak ada peningkatan GFR sebanyak 29 orang (55,7%) dengan hasil p value = 0,570 p , pengaruh penggunaan obat ARB kombinasi dan CCB kombinasi menghasilkan penurunan tekanan darah sebanyak 42 orang (80,6%) dengan hasil p value = 0,178 p. Berdasarkan hasil penelitian, dapat diperoleh kesimpulan bahwa pasien yang paling banyak adalah pasien dengan umur diatas 60 tahun dengan jenis kelamin pasien laki – laki, serta tidak adanya perbedaan efektivitas penggunaan antihipertensi golongan CCB dan ARB pada pasien hipertensi dengan gangguan ginjal di rawat jalan RSUD Kraton Pekalongan.