bluuebunny/crossref_metadata_2025 huggingface dataset:
Biological Characteristics of Siraz Fish, Capoeta kosswigi (Teleostei: Cyprinidae) and Host Relationship with Ectoparasitic Glochidia Larvae of Freshwater Mussel, Unio stevenianus (Bivalvia: Unionidae) in the Karasu River (Van, Türkiye)
Authors: Atıcı Ataman Altuğ , Kankaya Ertuğrul
Published: December 2023

Capoeta kosswigi (Karaman, 1969) and Unio stevenianus (Krynicki, 1837) are endemic species in the Karasu river, the Lake Van basin. This study was carried out to determine the biological characteristics of C. kosswigi and distribution and prevalence of U. stevenianus glochidia on this host fish. A total of 379 C. kosswigi were caught by electrofishing between March 2022 and February 2023. The maximum fork length and total weights of C. kosswigi were 29.2 cm and 421.8 g for females and 27.8 cm and 337.9 g for males. The length-weight relationships were calculated as W=0.017L2.881 (r2=0.986) for males (negative allometric growth) and W=0.016L3.001 (r2=0.953) for females (isometric growth). The Fulton condition factor was determined as 1.53±0.13 (1.23-1.99). The female:male ratio was calculated as 0.18:1.00. Additionally, a total of 12525 Unionid glochidia were detected on C. kosswigi samples in this study. Glochidia was more inclined to prefer male C. kosswigi as a host. The highest amount of glochidia was recorded in May, while the lowest in August. The amount of glochidia was statistically found the highest in the gill filaments (454.3±678.0) compared to all fins. Therefore, the native species, C. kosswigi is a suitable host for the freshwater mussel, U. stevenianus.
LIDAR Phenomenological Sensor Model: Development and Validation
Authors: Yousif Ahmed Luay Yousif , Elsobky Mohamed
Published: December 2023

In the rapidly evolving era of software and autonomous driving systems, there is a pressing demand for extensive validation and accelerated development. This necessity arises from the need for copious amounts of data to effectively develop and train neural network algorithms, especially for autonomous vehicles equipped with sensor suites encompassing various specialized algorithms, such as object detection, classification, and tracking. To construct a robust system, sensor data fusion plays a vital role. One approach to ensure an ample supply of data is to simulate the physical behavior of sensors within a simulation framework. This methodology guarantees redundancy, robustness, and safety by fusing the raw data from each sensor in the suite, including images, polygons, and point clouds, either on a per-sensor level or on an object level. Creating a physical simulation for a sensor is an extensive and intricate task that demands substantial computational power. Alternatively, another method involves statistically and phenomenologically modeling the sensor by simulating the behavior of the perception stack. This technique enables faster-than-real-time simulation, expediting the development process. This paper aims to elucidate the development and validation of a phenomenological LIDAR sensor model, as well as its utilization in the development of sensor fusion algorithms. By leveraging this approach, researchers can effectively simulate sensor behavior, facilitate faster development cycles, and enhance algorithmic advancements in autonomous systems.
S2V2X – A New V2X Framework to Support and Enable the Design of Automated Vehicles with a Sufficient Level of Safety
Authors: Pimentel Juan
Published: December 2023

Vehicle-to-Everything (V2X) communications has the potential to increase the safety and autonomy of automated vehicles in addition to improving reliability, efficiency, infotainment, traffic, road safety, energy consumption, and costs. V2X is enabled by 5G technologies which promise faster connections, lower latency, higher reliability, more capacity and wider coverage. However, research is lacking in determining exactly how V2X can improve the safety, security, and autonomy of automated vehicles and more specifically what are the main V2X requirements. This paper provides a novel framework and structure to introduce V2X as a perception sensor sub-system into ADAS and ADS and to allocate top level target safety requirements to this new modality. To illustrate the novel structure, an example is provided using AD use cases in the context of the five SAE driving automation levels Level 1 through Level 5. The design follows methodologies from standards and regulations such as ISO 26262 (Functional Safety), ISO 21448 (SOTIF), ISO 34502 (Test scenarios for automated driving), UNECE R-157 (Lane keeping assist system) and R-152 (Autonomous emergency braking) are considered. Following the new novel structure, a set of V2X requirements related to the functional safety of an autonomous emergency braking functionality of an automated vehicle are derived. Mapping the V2X requirements to specific 5G technologies such as IEEE 801.11p, C-V2X, and NR-V2X is out of scope of the paper.
Steel Tubing, Seamless, 0.95Cr - 0.20Mo (0.28 - 0.33C) (SAE 4130), Normalized or Stress Relieved
Authors:   AMS E Carbon and Low Alloy Steels Committee
Published: December 2023

This specification covers an aircraft-quality, low-alloy steel in the form of seamless mechanical tubing.
Separation of Cr and Mn by polysulfone (PSF) based ultrafiltration (UF) membranes anchored with nanoparticles - Mathematical analysis of rejection properties
Authors: Mahajan-Tatpate Pallavi , Dhume Supriya , Jayakumar Naveenkumar , Chendake Yogesh , Chavan Sachin , Khomane Ramdas , Wadagaonkar Vinayak
Published: December 2023

Separation of heavy metals to obtain potable water for domestic and agricultural applications is important considering health effects, bioaccumulation properties and applicability. The separation of Cr and Mn salts by Donnan exclusion are investigated using polysulfone (PSF) based membranes modified by anchoring ZnO nanoparticles. Use of Acid-treated ZnO nanoparticle enhnanced rejection properties for Cr and Mn (97.12 and 98.37%, respectively) for membranes based on 40% PSF, 8% PEG -400 and 0.8% ZnO. The use of polyethylene glycol (PEG)with molecular weight of 200 Da enhanced rejection properties to ~ 99%. This would provide excellent pathway for PSF membrane modification without affecting stability.Separation was dependent uponconcentrations of PSF, PEG, ZnO nanoparticles in dope solution, and bubble point pressure, pore size, number of pores, etc. Analysis of these properties and effect would provide pathway for design of membranes for heavy metal removal and process applications. Hence, they were analyzed using R studio multi-attribute linear regression model. Membrane performance regression analysis provided correlation with 95% fitting accuracy with 0.98 coefficient of regression, suggesting good relationship between predicted and observed data. This shows the applicability of model to save time and cost involved in designing membrane formation parameters and properties with optimized applicability.
Acidophiles enable pollution forensics in soil environments
Authors: Park Suin , Nguyen Minh Thi , Jeon Junbeom , Bae Hyokwan
Published: December 2023

The bacterial community structure of polluted soil differentiates according to toxic pollutants. In this study, the acid pollution source was predicted by using characteristic bacterial community structures which were exposed to HCl, HF, HNO3, and H2SO4. In a soil column, after a simulated acid leak, Bacillus, Citrobacter, Rhodococcus, and Ralstonia sp. were found as acid-resistant bacteria and their relative abundance varied depending on the acid. The complex bacterial community was analyzed by using terminal restriction fragment length polymorphism (T-RFLP) of 16S rRNA gene. Using machine learning models including support vector machine (SVM), K-nearest neighbors (KNN), random forest (RF), and artificial neural network (ANN), the prediction accuracy for acidic pollutants was 72%, 72%, 76%, and 88%, respectively. With data augmentation based on T-RFLP, the accuracy of the ANN model for predicting acidic pollutants improved to 98%. This research provides valuable insights into the potential use of bacterial community structures and machine learning models for the rapid and accurate identification of acid pollution sources in soil.
Review of the Healing Potential of Burn Wounds with Aloe Vera Extract Cream: The Influence of Formula and Virgin Coconut Oil Application
Authors: Sidiq Fahmi
Published: December 2023

This paper discusses the potential of using Aloe vera extract cream with various formulas, including the incorporation of Virgin Coconut Oil (VCO) as a cream base, for burn wound healing. The study aims to investigate the healing effects of second-degree burn wounds in mice using Aloe vera extract cream with different formulas. Phytochemical analysis identified the presence of phenols, tannins, and saponins in the Aloe vera extract. The results of the wound healing tests indicate that Aloe vera extract creams with different formulas have the potential to accelerate healing, with a healing time range of 8 to 14 days. Formulas containing VCO as a cream base showed faster healing, likely due to the medium-chain saturated fatty acid content in VCO that supports tissue regeneration. Aloe vera extract also possesses cleansing and antiseptic properties that can prevent infections in wounds. Although healing times varied among the different formulas, the main conclusion is that Aloe vera extract creams have the potential to support the healing of second-degree burn wounds.
Dynamic Relationship Among Crude Oil Price, Stock Price, and Exchange Rates In Indonesia
Authors: Atanta Alfikranta , Syahnur Sofyan , Dawood Taufiq C
Published: December 2023

This study aimed to examine the causal relationship among oil prices, JCI stock prices, and exchange rates in Indonesia. Observational data were from the period 2015M01-2020M06. The research analysis model used was Toda-Yamamoto (1995) causality test. The results showed a two-way causal relationship between exchange rates and oil and a one-way relationship between exchange rates and stocks. There was a one-way effect of stocks on oil. Stock shocks occurred due to the influence of the stocks themselves—only 10 percent of the exchange rates and 0.62 percent of the oil price. Meanwhile, oil prices experienced shocks from stocks of 35.95 percent and exchange rates of 20.87 percent. Changes were found in the exchange rates because stocks were 57.21 percent and oil prices were 11.27 percent. It is recommended to control the exchange rates so that the economy becomes stable, explore oil in the country or use renewable energy technology to break away from dependence on fossil oil, and maintain the value of stocks to be strong and stable.
Inventory Control for Eyeglass Supply Using the P Model Based on Sales Products Sales Forecasting (Case Study: Merry Optic Bandung)
Authors: Suripto Adi , Nahar Julita , Napitupulu Herlina
Published: December 2023

Inventory is a resource owned by the company to be used in the production process to meet consumer demand. Companies must be able to control inventory appropriately in order to avoid excess or shortage of inventory by using inventory control. Inventory control is a necessary part of a company that requires an appropriate inventory policy to meet uncertain needs. Based on this background, this study discusses the single item inventory model in the form of photochromic glasses at Merry Optik to find the optimal total inventory cost. In meeting the uncertain needs of the company, the Additive Decomposition forecasting method is used in order to find out the forecast sales data pattern in the future. Uncertain demand causes the inventory system to be probabilistic, so it is necessary to carry out probabilistic inventory control. The P model of the case of back orders was chosen because the range of ordering periods is fixed and the company can buy inventory when it runs out before the time the inventory order is made so that buyers can wait until the inventory arrives. By using Model P for the case of back orders, the company can obtain the period between orders, the total cost of inventory, and the optimal level of service. Based on the results of this study, a pattern of sales forecast data is obtained which repeats every 12 months. Companies must order glasses within a period of 32 days between orders so that it is optimal and able to provide a reduction in the total inventory cost of IDR 21,828,771 with a service level of 95%. Companies can save on inventory costs if they use shorter periods between orders. The total cost of inventory can be more optimal if the company reduces the cost of storing inventory in the warehouse.
Variant of Trapezoidal-Newton Method for Solving Nonlinear Equations and its Dynamics
Authors: Putra Supriadi , Imran M , Putri Ayunda , Marjulisa Rike
Published: December 2023

This article introduces a novel approach resulting from the adaptation of Trapezoidal-Newton method variants. The iterative process is enhanced through the incorporation of a numerical integral strategy derived from two-partition Trapezoidal method. Through rigorous error analysis, the study establishes a third order convergence for this method. It emerges as a viable alternative for solving nonlinear equations, a conclusion substantiated by computational costs conducted on diverse nonlinear equation forms. Furthermore, an exploration of basin of attraction analyses that this method exhibits faster convergence compared to other Newton-type methods, albeit with a slightly expanded divergent region with a variant of Newton Simpson’s method.
Oral Motor Exercise in Improving the Movements Of The Jaw, Lip, Tongue in Case of Oral Phase Dysphagia on a Cerebral Palsy Patient
Authors: Yosrika Yosrika , Sophianti Riani , Karmilah Karmilah
Published: December 2023

The dysphagia case in children with cerebral palsy is a disorder that must be treated immediately because it will have a serious impact on the child's health and speech fluency. The Oral motor exercise method is one of the therapies to improve jaw, neck, and tongue movements in patients with cerebral palsy. The purpose of this study was to investigate the oral motor exercise on a dysphagia patient of  3-years old   with cerebral palsy disorder at Syamsudin SH Hospital, Sukabumi,  from January to March 2019. This type of research is a descriptive quantitative method with single subject experiment.  A research subject was  a patient with cerebral palsy, a 3- years old – boy who has dysphagia. The patient cannot speak and only cries and says 'AAAA' if he wanted something and the patient was choking and coughing when eating or drinking. To deal with this problem, 20 sessions of therapy and 1 evaluation were carried out. The results showed that by comparing the results of the initial test and the final test, there was an increase in the ability to move the organs of the lips, tongue, jaw, and chewing movements of the patient. In the initial test, the patient got 2 points and the final test result. the patient got 4 points which indicated 50% success scale. From the therapeutic success scale obtained, it was concluded that the therapy was quite successful.
COVID 19 PANDEMİSİNİN KOCAELİ İLİ TOPLU ULAŞIM SİSTEMİ ENERJİ TÜKETİMİ ÜZERİNDEKİ ETKİSİNİN İNCELENMESİ
Authors: Gülsoy İsmail , Özcan Mustafa
Published: December 2023

Covid-19 salgını insanların yaşam tarzında, arkadaşlık ilişkilerinde, tüketim ihtiyaçlarında ve tüketim davranışlarında değişikliklere sebep olmuştur. Kişilerin yaşantısında kısa ve uzun vadeli değişimler meydana gelmiştir. Bu büyüklükte bir salgınla karşılaşan devletler farklı tedbirler almışlardır. Devlet yetkilileri ilk olarak sınırların kapatılması, ortak yaşam alanlarında ve toplu taşımada mesafeye dikkat edilmesi ve maske takma zorunluluğu gibi uygulamaları yapmışlardır. Alınan kararların sonucunda; sağlık, eğitim, eğlence, gıda, turizm, tarım, perakende gibi birçok sektör doğrudan ve dolaylı olarak etkilenmiştir. Covid-19 salgınından etkilenen sektörlerden biri de ulaşım sektörüdür. Otobüslerde yolcu kapasitesinin yarıya indirilmesi, sokağa çıkma kısıtlaması belediyelerin işletmekte olduğu toplu taşıma sistemine de etkilemiştir. Bu çalışmada, Kocaeli ilinde hizmet vermekte olan toplu taşıma araçlarındaki enerji tüketimi analiz edilmiştir. Analizler, son üç yıllık toplu taşıma araçlarının sefer sayıları, enerji tüketimi ve yolculuk verileri kullanılarak gerçekleştirilmiştir. Analizde, doğalgazlı otobüsler ile yapılan yolculukların ve enerji tüketiminin yıllara göre değişimleri incelenmiştir. Pandemi boyunca Kocaeli Büyükşehir Belediyesinde doğalgazlı otobüsleri kullanan yolcu sayısı son üç yılın en düşük değerine ulaşmıştır. Yolcu sayısı bir önceki yıla göre % 27,55 oranında azalmıştır. 2019 yılında yolculuk başına düşen enerji miktarı 2,67 kWh, 2020 yılında 4,29 kWh ve 2021 yılında 3,12 kWh olarak hesaplanmıştır. 2020 Nisan ayında son üç yılın en yüksek seviyesi olan 9,40 kWh değerine ulaşmıştır. Pandemi sürecinde doğalgaz ile çalışan otobüsler ile yapılan yolculuk sayısı azalmış, buna karşılık yolculuk başına düşen enerji tüketim miktarı artmıştır.
Bangunan Gereja Inkulturatif Sebagai Sarana Mewujudkan Persekutuan Umat
Authors: Sitepu Abdi Guna , Br Sagala Cica Yola
Published: December 2023

Bangunan Gereja Inkulturatif Santo Fransiskus Asisi Berastagi tidak terlepas dari makna arsitektur dan ornamennya yang merujuk kepada bangunan rumah adat Karo yang sarat akan makna. Oleh karena itu melalui artikel ini hendak dibahas bagaimana makna bangunan gereja inkulturatif Santo Fransiskus Asisi Berastagi serta dampaknya terhadap perkembangan Persekutuan umat. Metode Penelitian yang digunakan adalah metode penelitian kualitatif. Teknik pengumpulan data yang dilakukan melalui observasi, wawancara dan dokumentasi. Data yang telah diperoleh selanjutnya akan dianalisis dengan model Miles dan Huberman melalui tahapan reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa gereja inkulturatif Santo Fransiskus Asisi Berastagi melambangkan persekutuan dan kekeluargaan sebagaimana rumah adat Karo yang biasanya dihuni oleh delapan sampai duabelas kepala keluarga. Kehidupan setiap keluarga penghuni rumah diatur menurut budaya dan kebiasaan yang berlaku bagi masyarakat Karo. Dengan adanya bangunan gereja ini, persekutuan umat juga semakin baik. Hal ini terlihat jelas melalui kehadiran umat dalam perayaan Ekaristi dan perayaan-perayaan lain yang sangat tinggi di gereja. Selain itu, persekutuan umat juga terlihat baik lewat kegiatan-kegiatan di luar gereja baik di stasi maupun di lingkungan.
Sosyal Medyada İdeolojik Faaliyet Ölçeğinin Geliştirilme Çalışması
Authors: BARIŞ Özlem
Published: December 2023

Sosyal medya platformları her geçen gün artan çeşitleri ile birlikte farklı işlevlerin yüklendiği araçlar haline gelmektedir. Araçlar eğlenmenin, iletişim kurmanın ve düşünce paylaşmanın yanı sıra kullanıcıların ideolojik faaliyetlerinin de yer aldığı platformlar olmaktadır. Bu çalışma 18-28 yaş arası bireylerin sosyal medyada gerçekleştirdikleri ideolojik faaliyetleri saptamak için bir ölçüm aracının geliştirilmesini amaçlamaktadır. Amaç doğrultusunda 18 - 28 yaş arasında yer alan 201 erkek ve 199 kadın katılımcıya erişilmiş ve Kaiser-Meyer-Olkin (KMO) analizi sonucunda 0.966 yeterlilik bulundurduğu tespit edilmiştir. Ölçeğin geliştirilme sürecinde gerçekleştirilen Açımlayıcı Faktör Analizi ve Doğrulayıcı Faktör Analizi sonucunda 9 maddelik “İdeoloji ve Sosyal Medya Boyutu” (İSMB), 10 maddelik “Sosyal Medyada Çevrim İçi Örgütlenme Boyutu” (SMÇİÖB) ve 10 maddelik “Sosyal Medyada Direniş Boyutu” (SMDB) olmak üzere üç farklı alt boyut ortaya çıkmıştır. Ölçeğin Cronbach’s Alfa güvenilirlik katsayısı İdeoloji ve Sosyal Medya Boyutu 0.923, Sosyal Medyada Çevrim İçi Örgütlenme Boyutu 0.948, Sosyal Medyada Direniş Boyutu 0.932 ve Total Ölçek güvenilirliği 0.975 olarak tespit edilmiştir. Her Zaman (5), Sıklıkla (4), Ara Sıra (3), Nadiren (2), Asla (1) olmak üzere 5’li likert tipi değerlendirme faktörleri içeren Sosyal Medyada İdeolojik Faaliyet (SMİF) Ölçeğinin bireylerin sosyal medyadaki ideoloji yayma, örgütlenme ve direnme hareketliliğinin saptanmasında önemli bir rol oynayacağı düşünülmektedir.
PENGARUH KEPEMIMPINAN TRANSFORMASIONAL DAN LINGKUNGAN KERJA TERHADAP MOTIVASI KERJA PEGAWAI PADA KANTOR BADAN PENDAPATAN DAERAH UPT WILAYAH IX KECAMATAN PERCUT SEI TUAN
Authors: Andika M. , Harahap Nurain
Published: December 2023

Tujuan penelitian ini adalah untuk menganalisis pengaruh kepemimpinan transformasional dan lingkungan kerja terhadap motivasi kerja pegawai pada Kantor Badan Pendapatan Daerah UPT Wilayah IX Kecamatan Percut Sei Tuan. Jenis penelitian adalah kuantitatif. SesuaiÂ  dengan data yang diperoleh maka populasiÂ  dalam penelitian ini adalah Pegawai Kantor Badan Pendapatan Daerah UPT Wilayah IX Kecamatan Percut Sei Tuanyaitu sebanyak 30 orang. DalamÂ Â  pengambilan sampel, peneliti menggunakan teknik sampling jenuh. Maka dari itu, pada penelitian ini menggunakan seluruh populasi untuk dijadikan sampel yaitu sebanyak 30 orang. Teknik pengumpulan data dalam penelitian ini dengan observasi, dokumentasi serta kuesioner dengan skala pengukuran data Skala Likert. Teknik analisis data menggunakan uji validitas, reliabilitas dan asumsi klasik. Metode analisis data menggunakan regresi linear berganda dengan bantuan program SPSS. Hasil penelitian secara parsial menunjukkan bahwa kepemimpinan transformasional berpengaruh positif dan signifikan terhadap motivasi kerja pegawai, Lingkungan kerja berpengaruh positif dan signifikan terhadap motivasi kerja pegawai. Secara simultan, hasil penelitian menunjukkan bahwa kepemimpinan transformasional dan lingkungan kerja berpengaruh positif dan signifikan terhadap motivasi kerja pegawai pada Kantor Badan Pendapatan Daerah UPT Wilayah IX Kecamatan Percut Sei Tuan dengan Fhitung (54,283) > Ftabel (3,34), dan nilai signifikansi sebesar 0,000 < 0,05. Diperoleh nilai koefisien determinasi yang sudah disesuaikan (R Square) sebesar 0,801 hal ini berarti 80,1% variabel dependen dapat dijelaskan oleh variabel independen sedangkan sisanya dijelaskan oleh variabel lain diluar variabel yang diteliti.
THE ANALYSIS OF THE IMPLEMENTATION OF GOOD CORPORATE GOVERNANCE IN IMPROVING COMPANY PERFORMANCE AT SUB-HOLDING PT. PELINDO MULTI TERMINAL
Authors: Ramadhani Aulia Fitri , Rangkuti Sahnan , Suardi Suardi
Published: December 2023

Good business governance (GCG) is essential for the sustainability and development of a company in the future. The principles of implementing GCG, which include transparency, accountability, responsibility, independence, and fairness, are fundamental in managing business, especially in state-owned companies as regulated in the Minister of State for State-Owned Enterprises Regulation Number: PER – 01 / MBU/2011 concerning the Implementation of Governance Good Company (Good Corporate governance).PT. Pelindo Multi Terminal is a sub-holding company of PT Pelabuhan Indonesia (Persero), which manages port business entities in multipurpose terminal operations in Indonesia. The implementation of good corporate governance in the company has not been optimal due to a lack of socialization to communicate, educate, and convey information about GCG to employees by position holders.This research uses qualitative research methods with informants from relevant positions, company employees and service users. The research results show a lack of socialization from office holders so that new employees do not understand GCG, the principles of accountability, starting from the delivery of information and financial reports, have not been carried out promptly, and the principles of responsibility in service sessions have not been maximized, indicated by, among other things, limited internet access and providing comfort and satisfaction to customers.
Analisis Pengujian Hipotesis Sampel Terpisah dengan Perluasan Median terhadap Clustering Data E-Commerce
Authors: Mardiani Mardiani , Novita Dien
Published: December 2023

Fungi dari e-commerce telah banyak digunakan oleh berbagai kalangan dan bidang. Transaksi jual beli yang menggunakan media online sangat membantu dan memudahkan proses, baik bagi penjual maupun pembeli. E-Commerce juga sangat membantu terutama pada saat pandemic COVID 19 dimana terjadi pembatasan di berbagai saat dan tempat. Setelah masa pandemic berakhir pun, e-commerce tetap diminati dan digunakan untuk transaksi jual beli. Kalangan muda terutama mahasiswa merupakan kalangan yang paling memungkinkan penggunaan teknologi dalam berbelanja karena terbiasa dengan teknologi. Mahasiswa dari rentang usia muda baik Perempuan maupun laki-laki memiliki kecendrungan memilih Aplikasi e-commerce mana yang menarik dan mudah digunakan. E-commerce seperti Shoppe, Tokopedia dan lainnya merupakan platform terbanyak yang dipilih mahasiswa dan juga Masyarakat Indonesia. Banyaknya aplikasi yang digunakan oleh mahasiswa khususnya bisa menjadi pertimbangan untuk menentukan aplikasi terbaik dan favorit. Pengujian hipotesis sampel independen akan menggunakan pengelompokan data mining untuk atribut usia dan jenis kelamin. Kemudian dari pengelompokan tersebut akan diuji hipotesis perbedaan signifikan jumlah e-commerce yang digunakan dari pengelompokan atribut mahasiswa dengan menggunakan perluasan median. Hasil pengujian menunjukkan bahwa memang ada perbedaan signifikan jumlah e-Commerce yang digunakan mahasiswa dan pengelompokan atribut antara usia dan jenis kelamin lebih didominasi oleh usia.
ANALISIS IMPLEMENTASI ARTIFICIAL INTELLIGENCE UNTUK BISNIS: SYSTEMATIC LITERATURE REVIEW
Authors: Marsella Marsella , Wijaya Chelsea Samsi , Wijaya Indra , Shidqi Muhammad Tamim , Novita Dien
Published: December 2023

Artificial Intelligence telah menjadi salah satu teknologi yang paling cepat berkembang dalam beberapa tahun terakhir. Dalam era perkembangan teknologi informasi, terjadi penggabungan antara keterampilan manusia dan teknologi baru, yang dikenal dengan istilah kecerdasan buatan atau Artificial Intelligence (AI). Kecerdasan buatan atau Artificial Intelligence (AI) adalah sistem yang mempelajari bagaimana membuat komputer dapat berpikir, belajar, dan bertindak seperti manusia. Penelitian ini membahas mengenai AI yang memiliki potensi untuk merevolusi berbagai aspek kehidupan, termasuk bisnis. Metode penelitian yang digunakan adalah Systematic Literature Review (SLR). SLR adalah metode yang digunakan dalam riset berbasis penelitian yang berisi kritik dan evaluasi mendalam terhadap penelitian-penelitian sebelumnya. Metode ini digunakan untuk meneliti hasil-hasil penelitian yang telah dipublikasi pada jurnal dalam suatu bidang kajian tertentu yang mengevaluasi hasil-hasil review yang telah dilakukan terkait topik tertentu. SLR dalam penelitian ini menghasilkan kesimpulan bahwa penerapan AI dapat memberikan dampak positif bagi bisnis yang berjalan salah satunya penggunaan chatbot, smart city, machine learning, dan lain-lain.Kata Kunci: Sistem Informasi, Artificial Intelligence, Systematic Literature Review, Bisnis
ANALISIS METODE PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN SOSIAL KORBAN BENCANA ALAM: SYSTEMATIC LITERATURE REVIEW
Authors: Zulfahmi Muhammad Dimas , Rahmana Muhamad Yusuf , Nugroho Aryo Tsany , Hermaya Nickholas Hansel , Novita Dien
Published: December 2023

Penelitian ini menganalisis metode yang digunakan dalam pengembangan sistem pendukung keputusan penerima bantuan sosial. Analisis menggunakan metode Systematic Litarature Review dengan mengkaji beberapa artikel yang berkaitan dengan pengembangan sistem pendukung keputusan dalam situasi bencana alam, khususnya dalam hal memberikan bantuan sosial kepada korban. Penelitian ini mengidentifikasi metode-metode yang digunakan dalam mengembangkan sistem pendukung keputusan. Hasil systematic literaure review menunjukkan bahwa metode waterfall adalah model yang sangat banyak digunakan dan beberapa artikel menyatakan sangat efektif dalam pengembangan sistem pendukung keputusan penerima bantuan sosial. Metode Waterfall adalah pendekatan berbasis tahapan untuk pengembangan sistem, dalam prosesnya tiap tahap harus terlebih dahulu diselesaikan sebelum melanjutkan tahap berikutnya. Lima tahapan dalam metode pengembangan sistem Waterfall, yaitu analisis kebutuhan, desain sistem, implementasi, pengujian program, dan evaluasi serta pemeliharaan. Bidang-bidang seperti pemerintahan dan pendidikan adalah yang paling banyak mengimplementasikan metode waterfall ini Penelitian ini memberikan wawasan berharga dalam pengembangan sistem pendukung keputusan dalam situasi bencana alam dan memberikan dasar untuk penelitian lebih lanjut dalam penggunaan teknologi informasi untuk kesejahteraan sosial.Kata Kunci: SLR, Sosial, Waterfall
PENERAPAN DATA MINING DALAM MENGHITUNG PENGELOMPOKAN OBAT-OBATAN KADALUARSA MENGGUNAKAN K-MEANS
Authors: Syahputra Syahputra , Yasir Amru
Published: December 2023

Penelitian ini bertujuan untuk mengaplikasikan teknik data mining, khususnya algoritma K-Means, dalam menghitung pengelompokan obat-obatan kadaluarsa. Kehadiran obat-obatan kadaluarsa di apotek atau pusat kesehatan dapat menyebabkan risiko kesehatan dan keuangan yang serius. Oleh karena itu, pengelolaan stok obat yang efisien dan pengenalan pola kadaluwarsa dapat meningkatkan efektivitas sistem manajemen farmasi, Hasil penelitian diharapkan dapat memberikan kontribusi dalam pengembangan sistem manajemen farmasi yang lebih cerdas dan efisien. Dengan menggunakan pendekatan data mining, diharapkan dapat ditemukan pola-pola yang tidak terlihat secara manual dan dapat memberikan solusi yang lebih baik dalam mengelola persediaan obat-obatan, serta mengurangi potensi kerugian akibat obat-obatan kadaluarsa.Kata Kunci: Data Mining , K-Means , Pengelompokan , Obat-Obatan , Kadaluarsa
PENERAPAN DATA MINING PADA MENU MAKANAN DAN MINUMAN KELOMPOK BERDASARKAN TINGKAT PENJUALAN MENGGUNAKAN K-MEANS
Authors: Padli M. , Yasir Amru , Hasugian Buyung Solihin
Published: December 2023

Penelitian ini bertujuan untuk mengkaji penerapan data mining pada menu makanan dan minuman kelompok penyedia makanan dan minuman dengan menggunakan algoritma K-Means. Data penjualan harian, harga, dan preferensi pelanggan dikumpulkan untuk menganalisis pola konsumsi dan mengelompokkan menu berdasarkan tingkat penjualan. Algoritma K-Means berhasil membentuk kelompok-kelompok menu dengan karakteristik penjualan yang serupa. Analisis pola konsumsi pelanggan memberikan wawasan mendalam tentang preferensi pelanggan. Hasil penelitian ini menunjukkan potensi manfaat, termasuk optimasi penjualan, pengembangan menu yang lebih efektif, dan peningkatan kepuasan pelanggan. Kesimpulan penelitian memberikan dasar bagi kelompok penyedia makanan dan minuman dalam meningkatkan strategi penjualan mereka.Kata Kunci: Data Mining,K-Means,Menu Makanan dan Minuman,Tingkat Penjualan,Analisis Pola Konsumsi Pelanggan
Daftar Isi
Authors: Isi Daftar
Published: December 2023

Daftar Isi
MECHATBOT: CHATBOTS KECERDASAN BUATAN SEBAGAI SOLUSI LAYANAN INFORMASI KAMPUS BERBASIS IT
Authors: Andesti Cyntia Lasmi , Dian Rahmad , Wahabbi Alif Budiman , Harlyn Maudy Hellena
Published: December 2023

Salah satu aplikasi yang dimasukkan ke dalam sistem informasi untuk memudahkan aktivitas sivitas akademika adalah Chatbot. Universitas Metamedia telah menggunakan teknologi informasi ini dengan nama MechatBot. MechatBot merupakan fitur pertama yang dicari pengguna ketika mengalami kendala dan membutuhkan informasi cepat ketika bagian administrasi perkantoran tidak memiliki jam layanan. Sebelumnya, seluruh layanan dilakukan secara offline atau melalui layanan informasi yang memiliki jam operasional. Oleh karena itu, dibuatlah aplikasi MechatBot untuk membantu menjawab pertanyaan mengenai penggunaan aplikasi pada sistem informasi akademik. MechatBot ini menggunakan teknologi web dan algoritma bigram sebagai algoritma pencocokan pola kalimat dan metode forward chaining sebagai metode penalarannya. Metodologi pengembangan perangkat lunak yang digunakan adalah metode prototyping dan pengujian aplikasi dengan metode Black Box. Penelitian ini menghasilkan aplikasi MechatBot yang dapat membantu pengguna menjawab pertanyaan seputar informasi akademik dengan cepat tanpa menunggu layanan kampus dapat beroperasi kembali.
PENGARUH SOFTWARE ARSITEKTUR BERBASIS AI TERHADAP PROSES DESAIN DAN PEMBELAJARAN
Authors: Satria Andy , Sinambela Aadiyaat Pariccar , Irhami Raihan Apriansyah
Published: December 2023

Software Arsitektur Berbasis AI (SABAI) adalah perangkat lunak yang menggunakan teknologi kecerdasan buatan untuk membantu desainer arsitektur dalam menghasilkan rencana, sketsa, dan render 3D secara otomatis. Penelitian ini bertujuan untuk mengetahui pengaruh SABAI terhadap proses desain dan pembelajaran arsitektur, dengan menggunakan studi kasus maket ai, salah satu platform SABAI yang populer. Metode penelitian yang digunakan adalah eksperimen dengan desain pretest-posttest control group. Sampel penelitian terdiri dari 6 mahasiswa arsitektur yang dibagi menjadi dua kelompok, yaitu kelompok eksperimen yang menggunakan maket ai dan kelompok kontrol yang tidak menggunakan maket ai. Data yang dikumpulkan adalah skor tes kemampuan desain dan kuesioner kepuasan belajar. Hasil penelitian menunjukkan bahwa terdapat perbedaan yang signifikan antara kedua kelompok dalam hal skor tes kemampuan desain dan kepuasan belajar. Kelompok eksperimen yang menggunakan maket ai memiliki skor tes kemampuan desain yang lebih tinggi dan kepuasan belajar yang lebih besar daripada kelompok kontrol yang tidak menggunakan maket ai. Simpulan penelitian ini adalah SABAI, khususnya maket ai, memiliki pengaruh positif terhadap proses desain dan pembelajaran arsitektur. Rekomendasi penelitian ini adalah untuk mengembangkan dan memanfaatkan SABAI sebagai alat bantu desain dan pembelajaran arsitektur yang efektif dan inovatif.
Pengaruh Intelectual Capital, Financing To Deposit Ratio, Dan Fee Based Income Terhadap Earning Per Share Pada Bank Umum Syariah Di Indonesia
Authors: Siregar Elisa Meria Sari , Silalahi Alisraja Dison
Published: December 2023

This research aims to determine the influence of Intellectual Capital, Financing to Deposit Ratio and Fee Based Income on EarningPer Share in Sharia Commercial Banks in Indonesia for the 2019-2021 period. The independent variables in this research are Intellectual Capital, Financing to Deposit Ratio and Fee Based Income. The dependent variable in this research is Earning Per Share. The research sample is a Sharia Commercial Bank (BUS) in Indonesia which is registered with the Financial Services Authority (OJK) in 2019-2021. The sample was selected using a purposive sampling technique to obtain seven Sharia Commercial Banks. This research uses multiple linear regression analysis research methods. The research results show that intellectual capital (IC) influences Earning Per Share both partially. This shows that good IC management in Islamic banks has an effect on Earning Per Share of Islamic banks. The research results show that the Financing to Deposit Ratio variable and the Fee based income variable have no effect on Earning Per Share either partially or simultaneously.Keywords: Intellectual Capital, Financing to Deposit Ratio, Fee Based Income, Earning Per Share
Pengaruh Risiko Sistematik Dan Rasio Pasar Terhadap Return Saham Syariah Pada Perusahaan Yang Terdaftar Dalam Indeks Saham Syariah Indonesia
Authors: Thayyibah Syahriannisa , Silalahi Alisraja Dison
Published: December 2023

This research aims to determine the effect of systematic risk and market ratios on sharia stock returns in companies listed in the Indonesian sharia stock index for 2020-2022. The independent variables in this research are systematic risk and market ratios and the dependent variable in this research is stock returns. The research sample is companies listed in the 2020-2022 Indonesian Sharia Stock Index. The sample was selected using a purposive sampling technique to obtain 12 companies listed in the sharia stock index. This research uses multiple linear regression analysis research methods. The research results show that systematic risk and market risk have a positive effect on sharia stock returns simultaneously.Keywords: systematic risk, market ratio, Islamic stock returns.
Analisis Pengendalian Piutang Tak Tertagih Terhadap Tunggakan Pembayaran Rekening Air Pelanggan Perusahaan Daerah Air Minum (PDAM) Tirtanadi Cabang Berastagi
Authors: Nurhayati Nurhayati , Pohan Salmia , Nursidin Muhammad
Published: December 2023

PDAM Tirtanadi is a company that operates in the service and provision of clean water for the community, especially in the city of Medan and also the Berastagi area. PDAM Tirtanadi's operations are financed through income received by PDAM Tirtanadi from customers who use PDAM Tirtanadi's services. However, the income received by PDAM Tirtanadi is not optimal due to the high level of arrears from PDAM Tirtanadi customers, especially at PDAM Tirtanadi Berastagi Branch, due to the decline in the community's economic income and the level of satisfaction of each customer regarding the company's performance in producing products that does not meet customer expectations, giving rise to delinquent behavior. This research aims to analyze the control of bad debts against customer water account payment arrears at the Tirtanadi Regional Drinking Water Company Berastagi Branch and to find out how effective it is in collecting receivables to convert them into cash. The analytical method used in this research is analysis of accounts receivable turnover, analysis of the average age of receivables.. The data collection technique used is primary data by conducting in-depth interviews with each informant and secondary data using literature, the internet, documentation. The data analysis technique used is descriptive qualitative.Keyword : Control, Bad Debt, Arrears.
Analisis Sistem Penyusunan Anggaran Biaya Operasional Pada PT. Sarana Agro Nusantara Guna Menilai Kinerja Keuangan
Authors: Adellia Adellia , Septriawan Muhammad Reza , Iskandar Eddy
Published: December 2023

This research aims to determine the operational cost budget of PT. Sarana Agro Nusantara for the 2018-2021 period. The operational budget is a plan for all company activities to achieve its goals within a certain time period. Every company is always expected to experience times full of uncertainty, which will give rise to problems in choosing from various alternative policies that it will pursue in implementing its business activities. The type of research used in this research is descriptive qualitative research. The data sources used in this research are primary and secondary. The results of this research are that there is a difference between the budget and realization in the 2018-2021 period and there are budget deviations caused by internal and external factors.Keywords : Budget, Operational Costs, Financial Performance
Pengaruh Keefektifan Pengendalian Intern Akuntansi Terhadap Pencegahan Kecurangan Di PT. Indone Kargo Ekspress
Authors: Suandi Fenny , Zulkarnen Zuliana
Published: December 2023

The effectiveness of internal control is the success of management in achieving agency goals related to maintaining the reliability of presenting financial reports, operational efficiency and compliance with applicable laws and regulations. The formulation of the problem in this research is how the effectiveness of internal accounting controls influences fraud prevention. This research aims to determine the effect of the effectiveness of internal accounting controls on fraud prevention at PT. Indonesia Kargo Express. The population of this research are employees in 4 departments at PT. Indonesia Kargo Express. By using the purposive sampling method, a sample of 50 employees was obtained. This research uses quantitative methods with data collection techniques through interviews and questionnaires. The data analysis used in this research is classical assumption testing, multiple linear regression analysis, and partial hypothesis testing (t-test) using SPSS (Statistica Product and Service Solutions) software. The results of this research indicate that the variable effectiveness of internal accounting control is significantly positive and has an effect on preventing fraud at PT. Indonesia Kargo Express.Keyword: Effectiveness, Accounting Internal Control, Fraud Prevention
A Study on the Vehicle Routing Problem Considering Infeasible Routing Based on the Improved Genetic Algorithm
Authors: Xiao-Yun Jiang  , Wen-Chao Chen  , Yu-Tong Liu
Published: December 2023

The study aims to optimize the vehicle routing problem, considering infeasible routing, to minimize losses for the company. Firstly, a vehicle routing model with hard time windows and infeasible route constraints is established, considering both the minimization of total vehicle travel distance and the maximization of customer satisfaction. Subsequently, a Floyd-based improved genetic algorithm that incorporates local search is designed. Finally, the computational experiment demonstrates that compared with the classic genetic algorithm, the improved genetic algorithm reduced the average travel distance by 20.6% when focusing on travel distance and 18.4% when prioritizing customer satisfaction. In both scenarios, there was also a reduction of one in the average number of vehicles used. The proposed method effectively addresses the model introduced in this study, resulting in a reduction in total distance and an enhancement of customer satisfaction.
Optimization of SM4 Encryption Algorithm for Power Metering Data Transmission
Authors: Yi-Ming Zhang  , Jia Xu  , Yi-Tao Zhao  , Qing-Chan Liu  , Qiu-Hao Gong
Published: December 2023

This study focuses on enhancing the security of the SM4 encryption algorithm for power metering data transmission by employing hybrid algorithms to optimize its substitution box (S-box). A multi-objective fitness function is constructed to evaluate the S-box structure, aiming to identify design solutions that satisfy differential probability, linear probability, and non-linearity balance. To achieve global optimization and local search for the S-box, a hybrid algorithm model that combines genetic algorithm and simulated annealing is introduced. This approach yields significant improvements in optimization effects and increased non-linearity. Experimental results demonstrate that the optimized S-box significantly reduces differential probability and linear probability while increasing non-linearity to 112. Furthermore, a comparison of the ciphertext entropy demonstrates enhanced encryption security with the optimized S-box. This research provides an effective method for improving the performance of the SM4 encryption algorithm.
Prediction of Distribution Network Line Loss Rate Based on Ensemble Learning
Authors: Jian-Yu Ren  , Jian-Wei Zhao  , Nan Pan  , Nuo-Bin Zhang  , Jun-Wei Yang
Published: December 2023

The distribution network line loss rate is a crucial factor in improving the economic efficiency of power grids. However, the traditional prediction model has low accuracy. This study proposes a predictive method based on data preprocessing and model integration to improve accuracy. Data preprocessing employs dynamic cleaning technology with machine learning to enhance data quality. Model integration combines long short-term memory (LSTM), linear regression, and extreme gradient boosting (XGBoost) models to achieve multi-angle modeling. This study employs regression evaluation metrics to assess the difference between predicted and actual results for model evaluation. Experimental results show that this method leads to improvements over other models. For example, compared to LSTM, root mean square error (RMSE) was reduced by 44.0% and mean absolute error (MAE) by 23.8%. The method provides technical solutions for building accurate line loss monitoring systems and enhances power grid operations.
STUDY OF TRANSFORMATION OF JHAROKHA WINDOW FORM IN LAHORE
Authors: Zulfiqar Zain , Altaf Madeeha
Published: December 2023

The traditional architecture of any area embodies its true character, deeply rooted in the history, geography, and culture of that region. It does not only satisfy the functional requirements but also stems from local construction techniques and materials available. Traditional architecture faces the problem of its coexistence with modern technological development everywhere. The built heritage which stands in Lahore over centuries is encroached by modern and efficient techniques. The present paper specifically focuses on the development of Jharokha windows (Bay windows) in Lahore. The Jharokha window that was used in the Indian sub-continent during and after the Mughal period was the solution to the climatic conditions of the region. This research will investigate the old Jharokha window form and how with technology and advancement it starts losing its original form. The change in Jharokha form will be studied by the existing examples from different time periods available in the city of Lahore.
Povezanost globalizacije i demokracije
Authors: Perkov Matej , Prkačin Bojan
Published: December 2023

Globalizacija omogućuje visoki potencijal za širenje i diversifikaciju tržišta što državama omogućava poboljšanje produktivnosti i inovativnosti putem ekonomije razmjera, smanjenja troškova istraživanja i transfera znanja. Cilj je ovog rada ukazati na oblike povezanosti globalizacijskih procesa i razine demokracije na svjetskoj razini. Na globalizaciju se gleda s različitih aspekata među kojima su najviše zastupljeni ekonomski, političko-pravni i kulturni aspekt. Kako se globalizacija ne može odvijati bez liberalne politike, globalizacija se mora širiti na osnovama demokracije. Ekspanzija globalizacije u 1990-ima ojačala je postojeće i otvorila nove procese koji su utjecali na funkcioniranje demokracije i demokratskih institucija. Istovremeno je došlo do porasta društvene nejednakosti, slabljenja društvenih veza među pojedincima te umanjenja uloge moćnih dionika poput sindikata. Iako je broj autokratskih država u porastu, ipak je u proteklom razdoblju veći broj država koje su se demokratizirale nego onih koje su se autokratizirale. Demokratski pad je značajan, ali još uvijek nejasan i ograničen, ovisno o promatranim parametrima.
Povijest međunarodnih monetarnih sukoba
Authors: Šokčević Sandra , Ćorić Domagoj , Volarević Hrvoje
Published: December 2023

U radu se analiziraju međunarodni monetarni sukobi radi očuvanja monetarne stabilnosti pojedinih država, odnosno u različitim povijesnim etapama monetarni sukobi poprimali su različite oblike, ali je svakoj državi uvijek u interesu bilo vlastito blagostanje. Prvi dio rada prikazuje ratne sukobe kao sredstvo jačanja monetarne sfere u antičko doba te prilagodbu tih sukoba na novi vijek i imperijalističke politike. Nadalje se objašnjava kako su se uspostavljale međunarodne monetarne suradnje tijekom dvadesetog stoljeća da bi države ojačale svoju monetarnu poziciju ili je pak zaštitile. Rasprava o „Sporazumu iz Smithsoniana“ (engl. Smithsonian Agreement) prikazuje i narativ prisiljavanja drugih država na međunarodnu monetarnu suradnju, a primjerom „Sporazuma iz Plaze“ (engl. The Plaza Accord) detaljno se prikazuju razlozi monetarne suradnje svih država radi očuvanja vlastite ekonomije. Autori raščlanjuju „Sporazum iz Plaze“ i njegovo korištenje kao prikrivenog oružja za uništavanje japanske ekonomije. Na kraju se prikazuje monetarni sukob SAD-a i Kine oko kolaterala kao podloge bilance središnjeg bankarstva, ali i nove kineske strategije za sterilizaciju viška novčane mase nastale kao izvozni suficit.