bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sistem Pendukung Keputusan Menentukan Account Officer Menjadi Finance Administration Officer Menggunakan Metode Weight Aggregated Sum Prodcut Assesment
Authors: Anggraini Tutut , Andika Beni , Yakub Suardi 
Published: November 2023

Penulisan Skripsi ini bertujuan untuk menciptakan dan merancang Sistem Pendukung Keputusan Account Officer Menjadi Finance Administration Officer di PT. Permodalan Nasional Madani (Persero) belum memiliki sistem informasi berbasis web.Adapun program yang digunakan dalam penulisan Skripsi ini adalah sistem informasi berbasis web. Kegunaan dalam penelitian ini adalah untuk membantu proses penentuan Account Officer Menjadi Finance Administration Officer yang membutuhkan data-data di setiap prosesnya, sehingga memberikan hasil yang lebih cepat dan efektif serta efisien. Hasil dari penelitian ini adalah: Pertama, dalam menganalisa permasalahan terkait penentuan Account Officer Menjadi Finance Administration Officer dilakukan proses observasi dan wawancara kepada pihak terkait dan juga pengumpulan sumber-sumber literatur sebagai rujukan. Kedua, dalam membangun aplikasi yang mengadopsi metode WASPAS langkah pertama yang dilakukan adalah menganalisa permasalahan, kemudian menentukan algortima sistem dan langkah terakhir adalah melakukan pemodelan/perancangan sistem berbentuk sebuah aplikasi dalam penentuan Account Officer Menjadi Finance Administration Officer di PT. Permodalan Nasional Madani (Persero) untuk menguji sistem yang dirancang dalam penentuan Account Officer Menjadi Finance Administration Officer di PT. Permodalan Nasional Madani (Persero) adalah dengan menggunakan metode blackbox atau dengan cara melakukan uji coba langsung ke sistem tersebut. Ketiga, dalam menerapkan sistem atau aplikasi Sistem Pendukung Keputusan dalam penentuan Account Officer Menjadi Finance Administration Officer di PT. Permodalan Nasional Madani (Persero). berdasarkan kriteria yang telah ditentukan yaitu : penampilan, usia, hasil tes, loyalitas, absensi.
Penerapan Sistem Pakar Mendiagnosis Canine Parvo Virus Pada Anjing Mongrel Menggunakan Metode Certainty Factor
Authors: Cassandra Tambunan Mayrinda Grace , Syahril Muhammad , Gunawan Rudi 
Published: November 2023

Canine Parvo Virus merupakan penyakit infeksi virus yang fatal dan sangat menular yang dapat menyebabkan kematian pada anjing. Canine Parvo Virus (CPV) tidak hanya menyerang saluran pencernaan tetapi virus ini juga menyerang jantung yang dapat berakibat kematian mendadak pada anjing. Berdasarkan uraian di atas, pada penelitian dibangun sebuah sistem yang dapat menyelesaikan permasalahan terkait mendiagnosis penyakit pada anjing jenis campuran (mongrel) yaitu Sistem pakar (Expert System) dengan menggunakan metode Certainty Factor. Certainty Factor merupakan aplikasi yang digunakan untuk menganalisis informasi yang ada dengan ungkapan seperti, misalnnya : mungkin, kemungkinan besar, dan hampir pasti. Hasil dari pembuatan sistem ini yaitu dapat mempermudah pengguna dalam menggunakan sebuah website yang berguna bagi masyarakat dalam mendiagnosis gejala awal pada penyakit Canine Parvo Virus sehingga dapat digunakan dalam pengambilan kesimpulan diagnosis awal sebelum melakukan pemeriksaan lebih lanjut ke klinik.
Sistem Pakar Mendiagnosa Penyakit Fisik dan Psikis Akibat Penggunaan Narkoba Jenis Methamphetamine dan Mariyuana Menggunakan Theorema Bayes
Authors: Sembiring Beni Desmanta , Dahria Muhammad , Rezky Syarifah Fadillah 
Published: November 2023

Gangguan fisik dan psikis merupakan gangguan kepribadian yang ditandai dengan gangguan utama dalam pikiran, emosi dan perilaku. Individu yang mengalami gangguan tersebut memiliki pemikiran yang tidak logis, mata sayu, badan kurus dan halusinasi serta aktivitas motoric yang aneh. Gangguan fisik dan psikis di sebabkan oleh factor psikiologis, faktor biologis dan social. Salah satu faktor social yang memepengaruhi gangguan fisik dan psikis adalah tempat tinggal, sekolah, pergaulan bebas dan pemakaian atau ketergantungan narkoba. Sistem pakar adalah suatu sistem informasi yang berusaha mengadopsi pengetahuan dari manusia ke komputer, agar komputer dapat menyelesaikan masalah layaknya seorang pakar. Dalam mendiagnosa penyakit gangguan fisik dan psikis akibat penggunaan narkoba jenis methamphetamine dan mariyuana dibutuhkan sebuah system pakar yang mengadopsi metode theorema bayes untuk mempermudah psikiater di klinik sempakata medan agar memperoleh hasil yang tepat dan akurat. Adanya system pakar dapat memberikan kemudahan bagi klinik sempakata medan dalam mendiagnosa penyakit gangguan Fisik dan Psikis akibat penggunaan narkoba jenis methamphetamine dan mariyuana dengan metode Theorema Bayes serta memberikan solusi dari hasil diagnose penyakit tersebut.
Sistem Pendukung Keputusan Dalam Menentukan Kualitas Bahan Cat Terbaik Menggunakan Metode PSI (Preference Selection Index)
Authors: Ramadhan Pardede Muhammad Ilham , Alhaifz Afdal , Syahputri Astri 
Published: November 2023

Baamy Project adalah sebuah perusahaan yang bergerak di bidang jasa, khususnya di bidang pengecatan. Dengan kualitas jasa yang dimiliki Bengkel Baamy Project berhasil mencuri perhatian pasar pada bidang pengectan. Bengkel Baamy Project berniatan untuk mengembangkan usahanya dengan cara memberikan kualitas bahan cat terbaik. Oleh karena itu dikembangkan sebuah sistem yang dapat membuat rekomendasi kualitas bahan cat terbaik dengan berbagai alternatif pilihan dan kriteria, sehingga banyak pilihan untuk menentukan kualitas bahan cat terbaik pada Bengkel Baamy Project. Sistem yang tepat yang dapat digunakan sebagai solusi dari permasalahan tersebut adalah Sistem Pendukung Keputusan. Hasil uji konsultasi dengan sistem ini menunjukkan bahwa sistem mampu menentukan kualitas bahan cat terbaik menggunakan metode Preference Selection Index beserta pengujian Sistem Pendukung Keputusan untuk menentukan kualitas bahan cat terbaik yaitu dengan cara diimplementasikan di dunia otomotif agar dapat digunakan dengan terlebih dahulu terkoneksi ke jaringan internet.
Study of the compartmental modelling method on the basic non-reactive tank
Authors: Tran Trong Hieu , Huynh Thi Thu Huong , Le Van Son , Nguyen Huu Quang 
Published: November 2023

The Compartment Model allows modeling the system flow to zones visually, in which each zone is characterized by a combination of basic mixing compartments. The localization of the flow zones, as well as the calculation of the volume zones and exchange rate between zones, was done based on the velocity field determined from the numerical simulation model. This study presents the results of applying the CM method to analyze the 2D basic non-reactive tank with dimensions of 100 cm x 100 cm x 10 cm and an inlet flow of about 3 - 6 L/min. The results show that the obtained CM model has 3 main flow zones including the convection zone, circulation zone and slow flow zone. The results of comparing the tracer response curves from the CM model and experiment with the root-mean-square error below 0,11 allow confirming the established CM model.
Phase Transition in Conjugate Planes of Charged AdS Black Hole
Authors: Hoang Van Quyet , Nguyen Tuan Anh , Tran Huu Phat 
Published: November 2023

We study possible patterns of phase transitions at finite temperature in the charged AdS black holes (BHs). It is shown that in corresponding to standard pairs of conjugate thermodynamic variables charged AdS black holes contains either critical phenomena or interesting phase behaviour: a) for volume vs. pressure (V, P) a first order phase transition occurs similar to the van der Waals like from liquid to gas; b) for electric potential vs. charge (\Phi, Q) a first order phase transition associated with the electric charge instability. The distinction between them is characterized by the behaviors of the phase diagrams, the phase transition regions, the latent heats, the coexistence lines and the scalar curvatures associating with different Riemann spaces established in BH thermodynamic geometry approach. We conjecture that this scenario could become realistic for all other black holes.
Response of Cow pea (Vigna unguiculata L.) to seeds rate and Foliar spray of Ca Nanoparticles
Authors: Mohmmed Swadi Zagher Al rkabe  
Published: November 2023

Field experiment conducted at summer in two season 2020-2021 and 2021-2022 on clay sandy soil in Al-Diwanyia. The experiment was design as Complete randomized block designing with three replications arranged for split-pilot design, and Lest Significant Deference's( LSD) 0.05 the main treatment contend two groups seeds rate 25 and 50 Kg ha-1 within there four levels of Nano Ca( 0 , 30 , 60 , 90) PPM I took sample of soil before planting to analysis it and to learn physical and chemical properties table 1. Cowpea( Vigna unguiculata L.) were sowing at two rates 25 and 50kg.ha-1(3 cm depth) at 1/4 , after 7 months I took a samples to measure . The results showed all factors and interactions were significant effect and increased all growth traits (plant height, number of leaves per plant and stem diameter , plant content of protein , carbohydrate total Chlorophyll and fats and active substances ,) lead to increased grain yield max values (2.72 Ton.ha-1) at interaction of 25 seeds rate and 90 ppm Ca Nanoparticles level, while min value(1.9 Ton.ha-1) at interaction 50 seed rate and 0 ppm Ca Nanoparticles level.
Virtual reality laparoscopic simulation for operating theatre efficiency: an outcome logic model program evaluation
Authors: Lowe Belinda , Woolfield Anne , Matulich Jack , Brazil Victoria 
Published: November 2023

This article describes introduction of a comprehensive laparoscopic simulation education program to enhance operative efficiency in gynaecological procedures. We describe our approach to educational design, clinical integration and evaluation using an outcome logic model.
The study was conducted at Gold Coast Hospital Health Service (GCHHS) following the purchase of a laparoscopic virtual reality (VR) laparoscopic simulator (LAPSIM® VR), and development of a training program for obstetrics and gynaecology (O&G) trainees. In 2021, a surgical laparoscopic credentialling simulation program was introduced, requiring trainees to achieve a ‘pass’ on the LAPSIM® VR simulator prior to operating on patients. The evaluation approach used an outcome logic model to document program objectives and outcomes. Data analysis involved multivariate linear regression to ascertain the impact of the laparoscopic simulation program on procedure length in the operating theatre.
Inputs included faculty and trainee time, space, LAPSIM® VR equipment and take-home laparoscopic box trainers. Activities involved online instructional modules, training and surgical learning sessions. Outputs included trainee utilization of LAPSIM® VR and credentialling. Outcomes included surveys, retrospective reviews of patient laparoscopic salpingectomies and primary surgeon operator rates. LAPSIM® VR credentialling was performed by 81% of the GCHHS gynaecology registrar cohort in 2021. Trainees completed 234 VR salpingectomies. Introduction of the LAPSIM® VR program was associated with a significant reduction in mean operative time for all ectopic pregnancies in all primary surgeon groups. For uncomplicated ectopic procedures, there was a reduction in operative time of 14 minutes between 2020 and 2021 (
Introduction of a laparoscopic simulation VR credentialling program resulted in a significant reduction in operative time for laparoscopic salpingectomies in our institution. Educational programs should aspire to translational, patient-focused outcomes in their design and delivery.
Investigating Approaches for Optimizing Agricultural Yield: A Comprehensive Review of the Crucial Role of Micronutrients in Enhancing Plant Growth and Maximizing Production
Authors: Monib Abdul Wahid , Niazi Parwiz , Sediqi Sayedwali 
Published: November 2023

Crop requires proper plant nutrition; one of the most important factors governing plant growth and development is the integrated supply of micronutrients and macronutrients in adequate amounts and appropriate proportions; although micronutrients are required in minute quantities, they play an important role in plant growth. Micronutrients must be used wisely in crop production to ensure the optimum output of high-quality products. Plant metabolism, nutrition management, chlorophyll synthesis, reproductive growth, flower retention, and fruit and seed development are all performed by micronutrients. Boron, chlorine, copper, iron, zinc, manganese, molybdenum, and nickel are micronutrients that are required by all higher plants. Chlorine, copper, iron, and manganese are engaged in diverse photosynthetic activities, whereas zinc, copper, iron, and manganese are involved in various metabolic processes. Molybdenum is exclusively found in nitrate reductase. Boron is related with glucose metabolism, plant reproduction, photosynthesis, and enzymatic activity. The review focuses on the primary roles of micronutrients in crop development and gives an overview of recent research discoveries linked to the role of micronutrients in plants, helping to improve knowledge of their importance.
Highlighting Compensation Policies in Hospitality Industries during the COVID-19 Pandemic
Authors: Ginting Josafat Gracia , Sopiah  
Published: November 2023

This article investigates how compensation to hospitality industries has been conducted during the COVID-19 pandemic. Using documentary study, the writers made use of Google scholar and the Garuda portal database to collect data. Some primary keywords were employed to search relevant published articles such as compensation in a hotel during the COVID-19 pandemic. This study finds that hotel owners modified policies by giving only 50% of their salary. Meanwhile, the government covers another 50% of financial support to help the employees. Applying for compensation with support, promotion, and money will motivate employees to work. For the consumers, hotels lowered the price of the rooms. In addition, hotels also paid very careful attention to sanity issues and hotel service quality. It turns out that these adapted compensation policies have resulted in positive impacts on employees and consumers.
ARM TRUSTZONE AS A SECURITY FOR USER INTERACTION ON THE MOBILE PLATFORM
Authors: Lukman Santoso  , Moh Muthohir  , Ahmad Ashifudin Aqham  
Published: November 2023

Smartphones have become an important part of human life until now, apart from making phone calls and other communication functions, smartphones are also used as tools for shopping, conducting banking transactions, and so on. This makes security Software on smartphones becoming more critical. trust execution environment technology was popularized to support care for users if the Operation System is compromised namely trust execution environment ARM TrustZone. This research focuses on User-Interaction and Input/Output audio input user interaction channels and proposes an application-transparent solution to keep the user communication strategy on mobile platforms using ARM TrustZone.
This research advantage the ARM TrustZone to bring a defended architecture for User Interface input for user interaction channels (T-User-Interaction) and Audio-Input/Output for VoIP calls (T-VoIP-C). The main objective is to establish that the architecture is clear for cellular utilization. All along trust execution environment-established research, one of the critical objections faced was the ability to safely prototype designs. In a trust execution environment study, it is generally necessary to cross hardware factors with the trust execution environment-Operation System, which could be impressive for non-hardware specialists, conditional on the base applicable from trust execution environment Operation System vendors. This research considers a simulation-based model (T-simulation) that cuts down the composition time and hardware background appropriate to frame a hardware situation for expectation execution situation prototyping.
EXPLORATION OF AMPLITUDE CODING CAPACITIES FOR Q-ML MODEL
Authors: Unang Achlison  , Dendy Kurniawan  , Toni Wijanarko Adi Putra  , Siswanto Siswanto  
Published: November 2023

Quantum computing implements computation adopting environmental phantasm and the foundation of quantum mechanics to clear up the issues. This design of calculation has been demonstrated to serve the acceleration of some modern processing issues. Current evolution in quantum technology is emerging, and the application of learning design to this current instrument is developing. With enough prospects, the application of quantum development in the area of Machine Learning has come clear.
This research develops a TensorFlow Quantum (TF-Q) software framework model for machine learning functions. The two models advanced the application of material coding techniques from amplitude coding to constructing a case in the quantum learning model. This study aimed to explore the scope of amplitude coding to serve enhanced case establishment in learning techniques and in-depth investigation of data sets that bring insight into the practice data adopting the “Variational Quantum Classifier” (VQ-C). The emergence of this current method raises the investigation of how best this tool can be adopted, the aim is to provide several analysis explanations for the element of quantum machine learning that can be applied given the constraints of the actual device.
The results of this study indicate there are clear advantages to adopting amplitude coding over another technique as demonstrated by adopting the combination of quantum-humanistic neural networks in TF-Q. In addition, the different preprocessing steps can generate more aspect-affluent data while using VQ-C the no-charge lunch assumption dominance for quantum learning technique for humanistic models. The material even though conceal in quantum by unadvanced data preparation steps but involves new ways of understanding and appreciating these new methods. Future studies will lack expansion into multi-type of analysis models that are sufficiently advanced to be relevant in work similar to this.
The Implementation of Artificial Neural Networks for Stock Price Prediction
Authors: Akbar Maulana  , Enny Itje Sela  
Published: November 2023

This research is based on a problem that is difficult to predict stock prices, especially for beginners. Stock prices are hard to predict because they are fluctuating. Users will be easier to predict stock prices through artificial neural networks using Multilayer Perceptron. This MLP is a variant of an artificial neural network and is a development of perceptron. The selection of the Multilayer Perceptron method is based on the ability to solve various problems both classification and regression. The research conducted by the author is a regression problem as the MLP is tasked to predict the close price or closing price of stock after seven days. The results of the model built are able to predict stock prices and produce good accuracy because the resulting RMSE value produced 0.042649862994352014, which is close to 0.

Keywords: Machine Learning, Stock Price Prediction, Neural Network, Multilayer Perceptron, MLP.
ASSESSING IRRIGATED WATER QUALITY BASED ON PHYSICOCHEMICAL PROPERTIES
Authors: Muhammad Qayyum Hamka  , Shiji Wang  
Published: November 2023

In South Sulawesi's Takalar Regency, the Jeneberang River serves as irrigation water for neighboring areas. Several parameters, including electrical conductivity, pH, toxicity, soluble sodium, Sodium Adsorption Ratio (SAR), PI, MH, and Kelly's Ratio, were used to examine the development of water quality. The observation was conducted over three months in 2021: June (5 points), July (5 points), and August (5 points). The method for conducting physiochemical analyses was based on FAO and WHO guidelines. The study results suggest that the research locations' electrical conductivity meets the irrigation water quality standards. The nitrite concentration at the study locations ranged from 0.04 to 10.88 mg/L; thus, it was acceptable and below the standard limit level. The values of calcium and magnesium were 2.54-10.3 and 0.03 mg/L, respectively. The sodium concentration ranged between 4 and 7 mg/L. In addition, the potassium concentration in this study's water samples varied between 0.03 and 0.19 mg/L. Meanwhile, the SAR values range from 0.03 to 0.34 meq/L and are categorized as an excellent class. According Soluble Sodium Percentage standart water sample are categorized as excellent to eligible. KR, PI, and MH also indicate water sample in the suitable conditon for agricultural uses. The lead concentration at all sites was constant, 0.027 mg/L. It also happens for cadmium measurements, which show a value always the same each month, specifically 0.001 mg/L. Eventually, the analysis of cations and anions indicates that the type of water is magnesium bicarbonate. In addition, based on Kelly's Ratio data, the Jeneberang River is suitable for agricultural irrigation.
Pengaruh Pengawasan Dan Job Bornout Terhadap Kinerja Pegawai Pada Badan Pendapatan Daerah Kabupaten Sikka
Authors: Magdalena Muku  , ImanuelWellem  , Yosef Tonce  
Published: November 2023

The background of this research were to (1) determine the description of employee performance, supervision and job bornout, (2) analyze the influence of supervision and job bornout on employee performance both partially and simultaneously. The population in this research were employees of the Regional Revenue Agency of Sikka Regency as many 57 people. Due to limited population, this research employed census or saturated sampling. Data were collected through questionnaires and analyzed using descriptive methods and inferential statistics, namely multiple linear regression. Hypothesi testing was done through the F-test and t-test.The descriptive analysis showed that the variables of employee performance, supervision, and job bornout were categorized as good. The T-test statistical results showed that partially, the variable supervision had a positive influence and significant on employee performance. Furthermore, the job bornout variable negatively and significantly influenced employee performance. The F-test statistical result revealed that variables of supervision and job bornout had a significant influence on employee performance. Moreover, the determination analysis addressed that two independent variables in this research were able to explain the fluctuation of employee performance in the Regional Revenue Agency office of Sikka Regency by 31,20%.
Pengaruh Profitabilitas Terhadap Harga Saham Pada Perusahaan Rokok Yang Terdaftar Di Bursa Efek Indonesia (BEI) Periode 2015-2021
Authors: Helena Jayanti  , Antonius Philippus Kurniawan  , Cicilia Ayu Wulandari Nuwa  
Published: November 2023

This research was condycted to (1) determine the description of Return On Asset (ROA), E arning Per Share (EPS), and the stock prices of cigarette companies listed on the Indonesia Stock Exchange, (2) determine the effect of Return On Asset (ROA) and Earning Per Share (EPS) partially on the stock prices of cigarette companies listed on the Indonesia Stock Exchange, (3) ) determine the effect of Return On Asset (ROA) and Earning Per Share (EPS) simultaneously on the stock prices of cigarette companies listed on the Indonesia Stock Exchange. The data used in this research were secondary data. The research population was five cigarette companies listed on the Indonesia Stock Exchange in 2015-2021 with the sampling technique used was purposive sampling. Quantitative research method with associative descriptive approach. Hypothesis testing was done through the t-test and f-test. The data analysis used multiple linear regression.
The results of data analysis showed that partially, the variables Return On Asset (ROA) and Earning Per Share (EPS) had a significant effect on stock prices. While simultaneously, the variables Return On Asset (ROA) and Earning Per Share (EPS) had a significant effect on stock prices. As much as 23,4% of the variance in the stock prices variable was explained by the independent variables, while 76,6% was influenced by other factors excluded from the research variables.