bluuebunny/crossref_metadata_2025 huggingface dataset:
Forefoot Injuries in Athletes: Integration of the Movement System
Authors: Carroll Lindsay A , Paulseth Stephen , Martin RobRoy L
Published: January 2022

Despite the prevalence of forefoot related problems in athletes, there are few comprehensive summaries on examination and intervention strategies for those with forefoot related symptoms. While many factors may contribute to pathology and injury, the presence of abnormal foot alignment can negatively affect lower extremity biomechanics and be associated with injuries. Physical therapists may use the characteristics associated abnormal pronation or abnormal supination to describe the movement system disorder and serve as a guide for evaluating and managing athletes with forefoot pathologies. Athletes with an abnormal pronation movement system diagnosis typically demonstrate foot hypermobility, have decreased strength of the tibialis posterior muscle, and present with a medially rotated lower extremity position. Athletes with abnormal supination movement system diagnosis typically demonstrate foot hypomobility, decreased strength of the fibularis muscles, and a laterally rotated lower extremity position. Interventions of manual therapy, taping, strengthening exercises, and neuromuscular reeducation can be directed at the identified impairments and abnormal movements. The purpose of this clinical commentary is to integrate a movement system approach in pathoanatomical, evaluation, and intervention considerations for athletes with common forefoot pathologies, including stress fractures, metatarsalgia, neuroma, turf toe, and sesamoiditis. By applying a prioritized, objective problem list and movement system diagnosis, emphasis is shifted from a pathoanatomical diagnosis-based treatment plan to a more impairment and movement focused treatment.

Level of Evidence

5
Döviz Kuru Oynaklığı ve Ekonomik Büyüme İlişkisine Yeniden Bakış
Authors: AĞASLAN Erkan , ALKAN Buket
Published: January 2022

Bu çalışmada literatürde döviz kurundaki belirsizliğin ölçüsü olarak kabul edilen oynaklığın ekonomik büyüme üzerindeki etkisi araştırılmıştır. Gelişmiş ve gelişmekte olan ülkeler ayrımıyla 28 ülke için 2002 – 2019 dönemi verileri araştırmaya dahil edilmiştir. Ülkelerin oynaklık serileri için GARCH modellemesinden faydalanılmış ve panel veri analizi çalışmalarında sıklıkla ortaya çıkan yatay kesit bağlanım sorununu dikkate alan panel düzeltilmiş standart hatalar (PCSE) tahmincisi ile analiz gerçekleştirilmiştir. Çalışmadan elde edilen bulgular gelişmekte olan ülkelerde döviz kuru oynaklığının ekonomik büyüme üzerindeki negatif etkisinin gelişmiş ülkelere kıyasla çok yüksek olduğunu göstermiştir. Ayrıca gelişmekte olan ülkelerde beşerî sermayenin ekonomik büyüme katkısı negatif iken gelişmiş ülkelerde bu etkinin pozitif olduğu tespit edilmiştir. Çalışmada bulgularla desteklenen bir diğer husus döviz kurunun seviyesinden daha fazla kurun volatilitesinin ekonomik büyüme üzerinde negatif etki yaptığıdır. Gelişmekte olan ülkelerin üretim yapıları dikkate alındığında yoğun enerji ve hammadde ithalatına bağlı üretim stratejilerinin bulgulara paralel olması, dışa bağımlılığın azaltılmasına yönelik politikalara yardımıyla bu hususa dikkatin verilmesi gerektirebileceği önerilmektedir.
E-Ticaret Pazaryerlerine Yönelik Müşteri E-Sadakati: E-Güven ve E-Memnuniyetin Rolü
Authors: KUTLU KARABIYIK Busra
Published: January 2022

İşletmeden tüketiciye e-ticaret, tüketicilerin internet vasıtasıyla işletmelerden doğrudan mal ve hizmet satın alabilmeleri anlamına gelmektedir. Tüketiciler çevrimiçi ortamda çok sayıda alternatife kısa bir sürede ulaşabilmektedirler. Alternatiflerin fazlalılığı e-ticaret işletmelerinin sadakatli müşterilere ulaşmalarını zorlaştırmaktadır. Potansiyel müşterilerin farklı bir e-ticaret web sitesine yönelmeden, ihtiyaç duydukları ürün ve hizmetleri her zaman tercih ettikleri belirli bir e-ticaret web sitesinden alma eğilimlerine müşteri e-sadakati denilmektedir. E-sadakati sağlamış olan işlemelerde aynı müşterilerin devamlı ve yüksek miktardaki harcamaları işletme maliyetlerinin karşılanmasını kolaylaştırmaktadır. Bu çalışmada müşterilerin e-ticaret pazaryerlerine (trendyol, hepsiburada, n11, gittigidiyor, amazon, akakçe vb.) yönelik sadakatine etki eden faktörlerin araştırılması amaçlanmıştır. Çalışmada veri toplama aracı olarak anket yöntemi kullanılmıştır. 400 kişi ile gerçekleştirilen bu araştırmada e-güven ve e-memnuniyetin e-sadakat üzerinde anlamlı ve pozitif etkilerinin olduğu bulunmuştur. Ayrıca e-güvene, e-memnuniyete ve dolaylı olarak e-sadakate etki eden diğer faktörler ortaya konulmuştur. Elde edilen bulgular neticesinde e-ticaret pazaryerlerinin müşteri e-sadakati oluşturabilmek için söz konusu faktörleri dikkate alarak yeni stratejiler yaratmaları beklenmektedir.
Bürokrasi-Siyaset İlişkisi Bağlamında Başkanlık ve Cumhurbaşkanlığı Hükümet Sistemlerinin İncelenmesi
Authors: AKÇAKAYA Murat , İLHAN Kübra
Published: January 2022

Devletler kamu hizmetlerini, kamu görevlilerinin faaliyette bulunduğu bürokrasi ve siyasi otoritenin görev yaptığı siyasi sistem ile sunmaktadır. Siyasi otorite devlet yönetimine dair kararları alırken, bürokrasi ise bu karaları hayata geçirmektedir. Siyasi otorite ve bürokrasi, kamu hizmeti sunmak adına var olmaktadır. Etkin bir kamu yönetimi için her iki aktörün uyum içinde faaliyet göstermesi gerekmektedir. Bürokrasi ve siyasi otoriteye farklı rollerin yüklendiği birçok yaklaşım olmasına rağmen bu yaklaşımlar arasındaki ortak nokta ise bürokrasi ile siyaset arasında keskin bir çizginin çizilemeyecek olmasıdır. Bürokrasinin edilgen konumda olduğu ve siyasi otoritenin kamu yönetimi üzerinde etkin bir politika uyguladığı idari yapılar olduğu gibi bunun tam aksi hali de görülmektedir. Her iki aktörün yönetsel süreçte etkin veya edilgen bir yapıya sahip olması hükümet sistemlerine göre değişiklik göstermektedir. Çalışmada, hükümet sistemleri arasında birbirine olan benzerliği ve farklılığı üzerinde pek çok araştırma ve tartışmaların yapıldığı Başkanlık Sistemi ile Türk tipi Başkanlık Sistemi olarak nitelendirilen Cumhurbaşkanlığı Hükümet Sistemi ele alınmıştır. Çalışmada, güçlü bir yürütme sisteminin hâkim olduğu her iki hükümet sisteminde siyaset-bürokrasi ilişkisi incelenerek, siyasi otoritenin bürokrasi üzerindeki etkisini değerlendirmek amaçlanmaktadır. Bu doğrultuda çalışmanın ilk bölümünde siyaset ve bürokrasi kavramları; ikinci bölümde Başkanlık ve Cumhurbaşkanlığı Hükümet Sistemlerinin genel özellikleri; son bölümde ise Başkanlık ve Cumhurbaşkanlığı Hükümet Sistemlerinde siyaset-bürokrasi ilişkisi ele alınmaktadır.
The Role Of Public Health In The Reproduction Of Public Space
Authors: MEYDAN YILDIZ Seçil Gül , BAHÇECİ BAŞARMAK Hazal Ilgın , AYTEN Asim
Published: January 2022

In the urban spatial change and transformation process, land-use decisions of public and private spaces are made via city management and planning. It’s essential to be prepared and cautious for any kind of disaster in the land-use decisions. Even though earthquakes are the first thing that comes to mind when natural disasters are considered, the pandemic process caused by the Novel Coronavirus (2019 nCoV) presents the risks that can be caused by an infectious disease outbreak. Reorganizing public spaces as secure spaces by forming spatial thresholds became an obligation to protect public health and to decrease the risks as much as possible when providing urban security. At this stage, the problem of considering public space usage with regards to design principles from the legal and administrative aspects has emerged. The transformation process of the density concept and spatial thresholds affect the land-use decisions within public space and design principles. In this study, the effect of the pandemic process on city management and planning is discussed through public health, public space and spatial threshold concepts.
ENTROPİ Temelli MAUT Yöntemiyle Balıkesir İlindeki Rüzgâr Enerjisi Santrallerinin Performans Değerlendirmesi
Authors: ALTAN Şenol , EDİZ Ayşe , KAĞIZMAN Muhammed Ali
Published: January 2022

Rüzgar enerjisi, en hızlı büyüyen yenilenebilir enerji teknolojilerindendir. Maliyetlerin düşmesi ve kapasite faktörünün artması ile birlikte dünya çapında kullanımı da yaygınlaşmaktadır. Bulunduğu konum ve iklim koşulları açısından ülkemizin sahip olduğu rüzgar enerjisi potansiyeli birçok ülkeye göre çok daha avantajlı durumdadır.

Bu çalışmada Balıkesir ilinde bulunan rüzgâr enerjisi santrallerinin (RES) performansları, ekonomik, coğrafi ve çevresel faktörler dikkate alınarak matematiksel açıdan çok kriterli karar verme teknikleri olan ENTROPİ ve MAUT yöntemleri kullanılarak değerlendirilmiştir. Çalışma kapsamında kullanılan her bir kriter ENTROPİ yöntemi ile ağırlıklandırılmış ve MAUT yöntemi kullanılarak da performans sıralaması yapılmıştır. Kriterlerin sayısal değeri için Rüzgâr Enerji Potansiyel Atlası (REPA) ile Google Earth'den yararlanılmıştır. Balıkesir ilinde faaliyet gösteren 19 adet Rüzgar Enerjisi Santralleri (RES) değerlendirmesi sonucunda performans üzerinde en büyük önem derecesine sahip kriter olarak “Trafo Merkezlerine Uzaklık” bulunurken en düşük öneme sahip kriter ise “Rüzgâr Hızı” çıkmıştır. Tüm ağırlıklandırılmış kriterler dikkate alınarak yapılan sıralamada Poyraz RES ilk sırada yer alırken sırasıyla ikinci ve üçüncü sırada “Şah Rüzgâr Santrali” ve “Bandırma Kurşunlu RES” yer almıştır.
Subahnale dan Rang-rang Pembelajaran Matematika SMP
Authors: Junaidi Junaidi , Pramestie Wulandari Nourma , Hamdani Deni
Published: January 2022

The purpose of this research is to find mathematical concepts in the cultural heritage of songket cloth and how to apply them as a medium for learning mathematics in junior high schools. The results of this study can be used as a reference for junior high school teachers to choose culture-based learning media related to student life, especially in Lombok. This research is an ethnomathematical research with the research method used is a qualitative research method with an ethnographic approach. The research was conducted in September, October, and November 2021 in Sukarara village, Lombok, West Nusa Tenggara. The subjects in this study were craft works in the form of songket cloth and songket weavers who were active in the village of Sukarara which consisted of three weavers. Data were collected by documentation, document observation, and interviews. The documents obtained were then analyzed related to the content of the mathematical concepts contained therein. The conclusion of this study is that the quality of mathematics learning can be improved by using the traditional songket subahnale cloth as a medium or learning aid. Some mathematical concepts that can be learned with songket subahnale as the medium are congruence, similarity, perimeter of flat shapes, area of flat shapes, folding symmetry, comparisons, pattern tracing. Songket fabrics that can be used as media are songket subahnale woven fabrics with geometric motifs such as diamond motifs, rang-rang motifs, and hexagons
Pengembangan Media Pembelajaran Matematika Berbasis Macromedia Flash pada materi koordinat kartesius kelas VIII SMP
Authors: Agung Alghifaari Muhammad , Kurniati Nani , Wahidaturrahmi  , Turmuzi Muhammad
Published: January 2022

The purpose of this research are to develop macromedia flash-based mathematics learning media for cartesian coordinate material for class VIII SMPN 19 Mataram. Macromedia flash-based learning media is an audio-visual media presented in the form of software consisting of basic competencies, learning objectives, materials and quizzes. This development aims to overcome the weaknesses in the learning process that have occurred due to the lack of use of media in classroom, besides that it can also assist students in learning the concept of cartesian coordinates, especially in visualizing the objects in the material. The research methodology used in developing this learning media is 4D (Define, Design, Developement, Dissemination). Data collection techniques using interview guidelines and questionnaires. The result of this research is a software product of learning media for cartesian coordinates based on macromedia flash in the CD form. The product has been declared valid with good criteria by 4 validators. Based on the limited trial, it is known that the response of class VIII students of SMPN 19 Mataram that use the macromedia flash-based learning media cartesian coordinate is good.
KAJIAN NEW HISTORISME DALAM NOVEL HATI SINDEN KARYA DWI RAHYUNINGSIH
Authors: Anggarista Randa , Nasrulloh Lalu , Munasip
Published: January 2022

Penelitian ini menggunakan perspektif new historisme dengan tujuan untuk mengidentifikasi sejarah dan budaya Indonesia dalam novel Hati Sinden karya Dwi Rahyuningsih.  Data dalam penelitian yaitu berupa teks, baik berupa kata, kalimat, atau wacana yang sesuai dengan rumusan masalah. Adapun sumber data dalam penelitian ini yaitu novel Hati Sinden karya Dwi Rahyuningsih yang diterbitkan oleh Diva Press pada tahun 2011. Instrumen dalam penelitian ini yaitu penulis yang berorientasi pada penelitian tentang sejarah dan budaya Indonesia dalam novel Hati Sinden karya Dwi Rahyuningsih. Teknik pengumpulan data dalam penelitian ini dilakukan melalui dua tahapan yaitu baca dan catat. Teknik analisis data dilakukan melalui tiga tahapan yaitu kategorisasi, deskripsi, dan penyajian data. Hasil penelitian menunjukkan bahwa pertama, dalam novel Hati Sinden karya Dwi Rahyuningsih terdapat representasi sejarah Indonesia yaitu tentang Partai Komunis Indonesia. Kedua, representasi unsur budaya dalam novel Hati Sinden karya Dwi Rahyuningsih yang terdiri dari unsur budaya pada sistem kesenian, sistem mata pencaharian hidup, dan sistem kepercayaan.
Communications Patterns in The Traditional Market “Pasar Sari Mulia” Kapuas City
Authors: Syaifuddin  , Asi Natalina , Karani Elanneri
Published: January 2022

Abstrak: Penelitian ini membahas tentang investigasi pola komunikasi di pasar tradisional “Pasar Sari Mulia” di Kota Kapuas. Masalah utama dalam penelitian ini adalah pola komunikasi yang digunakan di pasar tradisional. Selain itu, penelitian ini juga menemukan tentang bagaimana komunikasi nonverbal pembeli dan penjual di pasar tradisional. Dengan menggunakan pendekatan kualitatif dan data dianalisis tentang pengaruh budaya suatu bahasa dan bagaimana bahasa itu sendiri akan membentuk suatu budaya dalam suatu domain. Data diperoleh dari observasi dan menggunakan studi kepustakaan. Hasil penelitian menunjukkan bahwa bahasa Banjar merupakan bahasa yang umum digunakan di pasar tradisional. Alih kode dan kalimat persuasif biasa digunakan dalam melakukan transaksi. Pembeli dan penjual menggunakan pola komunikasi yang unik dan komunikasi non-verbal terutama dalam menarik, proses tawar-menawar dan ekspresi penutupan perdagangan. Namun bagi penjual, komunikasi yang digunakan cenderung membujuk pembeli untuk segera membeli barangnya.
Abstract: This research deals with the investigation of communication patterns in the traditional market “Pasar Sari Mulia” in Kapuas City. The major issues in this research were the communication patterns which were used in the traditional market. Besides, this research also found about how are non-verbal communication of buyer and seller in the traditional market. Using qualitative approach and the data were analyzed about culture influences a language and how language itself will make a culture in a domain. The data were gotten from observation and used library research. The results showed that the Banjarese language was a common language which was used in the traditional market. Code switching and persuasive sentence were commonly used in doing transaction. The buyers and sellers used unique communication patterns and non-verbal communication especially in attracting, bargaining process and closing expression of trading. However, for the sellers, the communication used tends to persuade buyers to immediately buy their goods.
Unsur Realisme dalam Naskah Drama Guru Bahasa Indonesia pada Pembelajaran Drama di SMAS Laboratorium Undiksha
Authors: Sugiono Moch. , Sudiana I Nyoman , Yasa I Nyoman
Published: January 2022

: Penelitian ini bertujuan untuk mendeskripsikan unsur realisme di dalam naskah drama karya guru Bahasa Indonesia di SMAS Laboratorium Undiksha. Metode penelitian yang digunakan adalah deskriptif kualitatif. Subjek penelitian ini adalah naskah drama pada pembelajaran drama di SMAS Laboratorium Undiksha, khususnya yang digunakan sebagai bahan ajar pengganti naskah drama yang terdapat di dalam buku teks Bahasa Indonesia edisi revisi tahun 2017; di kelas XI pada Jurusan Matematika dan Ilmu Pengetahuan Alam (MIPA). Objek penelitian ini adalah unsur realisme di dalam naskah drama guru Bahasa Indonesia. Metode pengumpulan data yang digunakan adalah studi pustaka. Hasil penelitian ini menunjukkan bahwa unsur realisme yang terkandung di dalam naskah drama yang dibuat oleh guru Bahasa Indonesia di SMAS Laboroatorium Undiksha, meliputi: (1) realisme sosial, (2) realisme psikologis, dan (3) realisme magis. Unsur reaslisme sosial terdapat pada naskah berjudul Grubug dan Anjing Sambada; unsur realisme psikologis terdapat pada naskah berjudul Siapa Aku?; dan unsur realisme magis terdapat pada naskah berjudul Sungsang.
NARASI PIDATO NADIEM MAKARIM PADA HARI GURU NASIONAL 2019: KAJIAN RELASI MAKNA SEMANTIK
Authors: Harared Nico , Hadi Irfan
Published: January 2022

Abstrak: Hari guru merupakan sebuah momentum saat para guru diberi amanah untuk mencerdaskan kehidupan bangsa melalui pendidikan dasar dan menengah dan pendidikan tinggi. Tujuan dari penelitian ini adalah untuk mendeskripsikan relasi makna yang digunakan oleh Mendikbud, Nadiem Makarim pada pidatonya di Hari Guru Nasional tahun 2019. Penelitian ini menggunakan metode deskriptif kualitatif dengan teknik analisis isi. Data diambil dari pidato Nadiem makarim. Pengumpulan data melalui metode observasi dan teknik catat. Analisis data menggunakan instrumen relasi makna yang mencakup sinonim, antonim, metonimi, polisemi, hiponimi dan kolokasi. Berdasarkan hasil penelitian menunjukkan bahwa pidato yang disampaikan oleh Medikbud Nadiem Makarim sedikitnya enam jenis relasi semantik, yaitu sinonimi, antonimi, metonimi, polisemi, hiponimi dan kolokasi. Sebagai rincian, terdapat enam relasi semantik seperti 12 sinonim, 10 antonim, 7 metonimi, 6 polisemi, 6 hiponimi dan 8 kolokasi. Simpulanya hasil dalam pidato yang cukup singkat ini menunjukkan adanya eksistensi teoretikal dan praktikal dari kajian semantik.
Comparison of aprepitant and dexamethasone versus metoclorpramide and dexamethasone for prevention of post-operative nausea and vomiting in patients undergoing laparoscopic cholecystectomy.
Authors: Zerwah Muhammad Qayum  , Aftab Hussain  , Muhammad Akram  , Muhammad Asif Saleem  , Rehana Feroze  , Faisal Wahid
Published: January 2022

Objective: To compare the efficacy of aprepitant and dexamethasone versus metoclopramide and dexamethasone combination in prevention of post-operative nausea and vomiting in females undergoing laparoscopic cholecystectomy. Study Design: Prospective Comparative study. Setting: Department of Anesthesia, CMH Lahore. Period: October 2019 to April 2020. Material & Methods: A total of 140 female patients planned for laparoscopic cholecystectomy under general anesthesia, of age ranges from 35-65 years and ASA classification I and II were recruited for the study and were divided into two equal groups. In group A (n=70), patients were given oral aprepitant 80 mg with once sip of water one hour prior to induction and dexamethasone 8 mg upon induction. In group M (n=70), patients were given a placebo one hour prior to induction and intravenous metoclopramide 10 mg and dexamethasone 8 mg upon induction. Results: Age range in this study was from 37 to 65 years with mean age of 46.82 ± 7.29 years. The mean age of patients in group A was 45.73 ± 6.77 years and in group M was 47.91 ± 7.66 years with p-value of 0.076. In our study, significant difference was found between the efficacy of two groups of drugs. The efficacy of aprepitant and dexamethasone was found in 62 (88.57%) patients, while with metoclopramide and dexamethasone, it was found in 51 (72.86%) patients with p-value of 0.031. Conclusion: it is concluded that aprepitant and dexamethasone combination has higher efficacy as compared to metoclorpromide and dexamethasone in prevention of post-operative nausea and vomiting in elective laparoscopic cholecystectomy.
Comparison of prolene with parietex composite® mesh in laparoscopic intraperitoneal mesh hernioplasty for paraumbilical hernia.
Authors: Ahsan Nasim  , Pir Muneeb Rehman  , Kamran Ali  , Naila Jabbar
Published: January 2022

Objective: To compare the outcomes of prolene macroporous mesh with Parietex Composite® mesh in patients undergoing Laparoscopic hernioplasty for management of Paraumbilical hernia. Study Design: Prospective Comparative study. Setting: Jinnah Hospital Lahore. Period: 1st January 2016 to 1st January 2018. Material & Methods: A total of 100 patients with diagnosis of Paraumbilical hernia, aged >18 years were included. There were two groups. In group A (n=50) prolene macroporous mesh (Covidien) was placed. In group B (n=50) Parietex Composite® mesh (Covidien) was placed. After hernioplasty all patients were followed for a period of 2 years for evaluation of primary procedure and any complications like seroma, hematoma and intestinal obstruction. Results: The mean length of stay was 2.74±2.13 days in group A, versus 2.23±1.25 in group B (p-value 0.15). Seroma formation was seen in 4 (8.0%) patients in group A versus in 02 (4.0%) patients in group B (p-value 0.40). Hematoma formation was seen in 01 (2.0%) patients in group A versus 0.0% patients in group B (p-value 0.10). There was no recurrence and intestinal obstruction in any group in two years follow up. Conclusion: There was no difference in surgical outcome and the complication between two groups of patients undergoing laparoscopic Paraumbilical hernia repair with prolene macroporous and Parietex Composite mesh. Moreover, parietex composite mesh are difficult to insert and much expensive. Therefore, prolene mesh can be safely used in patients undergoing Laparoscopic Paraumbilical hernioplasty.
Eksistensi Rumah Hinggap Sebagai Rumah Persinggahan Sultan Siak Tahun 1929
Authors: Putri Musni Hidayah , Yuliantoro Yuliantoro , Fikri Asyrul
Published: January 2022

Istana Hinggap merupakan peninggalan bersejarah yang dijadikan sebagai Rumah Inap Sultan dari Kerajaan Siak Sri Indrapura yaitu Sultan Siak XII. Tujuan penelitian ini adalah untuk mengetahui sejarah rumah singgah Sultan Siak yang dikenal dengan Istana Hinggap. Penelitian ini menggunakan metode kualitatif dimana data didapatkan melalui proses observasi, wawancara, dan dokumentasi. Hasil penelitian ini menunjukkan bahwa Istana Hinggap berdiri pada tahun 1929 yang dibangun oleh arsitektur dari Belanda dengan model rumah Eropa dan Turki. Rumah ini pada awalnya adalah milik H. Zakaria yang pada zaman Kerajaan Siak dikenal sebagai Mufti Besar di Kesultanan Siak Sri Indrapura yang bergelar Datuk Kadhi H. Zakaria. Rumah ini merupakan rumah tempat bermalamnya Sultan Siak Ke XII apabila berkunjung ke Pekanbaru. Istana Hinggap masih berdiri kokoh hingga sekarang. Oleh karena itu peninggalan bersejarah ini memerlukan perawatan dan perlindungan yang maksimal dari Pemerintah Provinsi Riau. Sekarang rumah ini dimiliki oleh H. Syahril Rais, yang merupakan suami dari Hj. Nurlis Yahya cucu dari H. Zakaria pemilik rumah awal.
Organizational Dynamics in Shared IT Leadership at Coal Mining Industry: A Case Study
Authors: Taufik Asep Muhamad , Gunawan Fandi , Setiyawan Jodi , B.A.P Basic Dirgantara , Shihab Muhammad Rifki
Published: January 2022

The mining industry has faced intense challenges and disruptions from global trends. The mining industry needs to perform a transformation to survive. The important thing for mining companies in technological adoption is digital transformation. XYZ is a holding company with many subsidiaries with primary businesses in the coal mining sector spread throughout Indonesia. As part of digital transformation, one of the company's initiatives is to centralize IT resources into one organization, with the objective can share its utilization with all subsidiaries. IT's centralization and shared services caused problems, such as human resources in different company ownership, budget allocation among companies, and the structure of financing and utilization of IT resources for use. The problem was solved by mapping all the components' IT roles at the company based on the framework created by Applegate, Austin, and Soule. Mapping the role of IT in this company can be used as a guideline to make organizational change. Organizational changes that need to be done base on analysis is to change the structure of the organization of IT into a bimodal model, its combination between the Functional-Lean model and Matrix-Agile model. The Functional-Lean model provides organizations as a function to keep lean but can deliver high standard services and keep it stable. The Matrix-Agile model can provide agility for the organization to develop new and run projects. IT Governance at XYZ will use the Federal model.
Fast Clustering Environment Impact using Multi Soft Set Based on Multivariate Distribution
Authors: Yanto Iwan Tri Riyadi , Apriani Ani , Hidayat Rahmat , Mat Deris Mustafa , Senan Norhalina
Published: January 2022

Every development activity is always related to human or community aspects. This can also lead to changes in the characteristics of the community. The community's increasing awareness and critical attitude need to be accommodated to avoid the emergence of social conflicts in the future. This research is to find out how the public perception about the impact of development on the environment. Two methods are used, i.e., MDA (Maximum Dependency Attribute) and MSMD (the Multi soft set multivariate distribution function). The MDA is to determine the most influential attribute and the Multi soft set multivariate distribution function (MSMD) is to group the selected data into classes with similar characteristics. This will help the police producer plan the right mediation and take quick activity to make strides in the quality of the social environment. The experiment conducted level of impact based on the clustering results with the greatest number of member clusters is cluster 1 (very low impact) with 32.25 % of total data following cluster 5 (Very High impact) with 24.25 % of total data. The experiment obtains the level of impact based on the clustering results. The greatest number of member clusters is cluster 1 (extremely low impact) with 32.25 % of total data following cluster 5 (Very High impact) with 24.25 % of total data. The scatter area impact is spread at districts 6, 7, 10, 11, the most of very high impact and districts 1,2,3,4,5,8 the lowest impact.Â
Real-time Estimation of Road Surfaces using Fast Monocular Depth Estimation and Normal Vector Clustering
Authors: Yi Chuho , Cho Jungwon
Published: January 2022

Estimating a road surface or planes for applying AR(Augmented Reality) or an autonomous vehicle using a camera requires significant computation. Vision sensors have lower accuracy in distance measurement than other types of sensor, and have the difficulty that additional algorithms for estimating data must be included. However, using a camera has the advantage of being able to extract various information such as weather conditions, sign information, and road markings that are difficult to measure with other sensors. Various methods differing in sensor type and configuration have been applied. Many of the existing studies had generally researched by performing the depth estimation after the feature extraction. However, recent studies have suggested using deep learning to skip multiple processes and use a single DNN(Deep Neural Network). Also, a method using a limited single camera instead of a method using a plurality of sensors has been proposed. This paper presents a single-camera method that performs quickly and efficiently by employing a DNN to extract distance information using a single camera, and proposes a modified method for using a depth map to obtain real-time surface characteristics. First, a DNN is used to estimate the depth map, and then for quick operation, normal vector that can connect similar planes to depth is calculated, and a clustering method that can be connected is provided. An experiment is used to show the validity of our method, and to evaluate the calculation time.
Automated Detection and Counting of Hard Exudates for Diabetic Retinopathy by using Watershed and Double Top-Bottom Hat Filtering Algorithm
Authors: Toresa Dafwen , Shahril Mohamad Azrul Edzwan , Harun Nor Hazlyna , Bakar Juhaida Abu , Amnur Hidra
Published: January 2022

Diabetic Retinopathy (DR) is one of diabetes complications that affects our eyes. Hard Exudate (HE) are known to be the early signs of DR that potentially lead to blindness. Detection of DR automatically is a complicated job since the size of HE is very small. Besides, our community nowadays lack awareness on diabetic where they do not know that diabetes can affect eyes and lead to blindness if regular check-up is not performed. Hence, automated detection of HE known as Eye Retinal Imaging System (EyRis) was created to focus on detecting the HE based on fundus image. The purpose of this system development is for early detection of the symptoms based on retina images captured using fundus camera. Through the captured retina image, we can clearly detect the symptoms that lead to DR. In this study, proposed Watershed segmentation method for detecting HE in fundus images. Top-Hat and Bottom-Hat were use as enhancement technique to improve the quality of the image. This method was tested on 15 retinal images from the Universiti Sains Malaysia Hospital (HUSM) at three different stages: Normal, NPDR, and PDR. Ten of these images have abnormalities, while the rest are normal retinal images. The evaluation of the segmentation images would be compared by Sensitivity, F-score and accuracy based on medical expert's hand drawn ground truth. The results achieve accuracy 0.96 percent with 0.99 percent sensitivity for retinal images.
Agent-Oriented Modelling for Blockchain Application Development: Feasibility Study
Authors: LiBin Michelle Ten , WaiShiang Cheah , Khairuddin Muhammad Asyraf B , Mit Edwin , Erianda Aldo
Published: January 2022

Blockchain application development has received much attention nowadays. As development is complex and challenging, a systematic approach is needed to improve the product, services, and process quality. Despite the introduction of techniques, there are still inadequate models for demonstrating the blockchain's internal architecture. Hence, there is a gap when developing the blockchain application, a gap in the modelling environment of a blockchain development application. This paper introduces a new insight into blockchain application development through Agent-Oriented Modelling (AOM). AOM is a methodology for complex socio-technical system development, and we believe that it can reduce the complexity of implementing the blockchain application. In this paper, the AOM is used to model a blockchain-based "win a fortune" system, which includes smart contract development. It showcases the feasibility of adopting AOM to model a blockchain enabling application. A usability survey among the novices has further validated the usability and benefits of AOM in the blockchain enabling application development.
Computational Thinking Evaluation Tool Development for Early Childhood Software Education
Authors: Lee Kyunghee , Cho Jungwon
Published: January 2022

The early childhood software education is being actively conducted, but research on evaluation of computational thinking is in its infancy. The purpose of early childhood software education is to cultivate the computational thinking through activities centered on solving problems in everyday life. Evaluation in software education is very important in that it not only measures computational thinking simply but also improves computational thinking through evaluation. As such, guidelines for evaluating computational thinking that can be used in early childhood software education are needed, but they are very lacking. Therefore, in this study, the researcher developed an evaluation tool that can meet the ultimate purpose of software education, cultivating computational thinking. The developed evaluation tools are a software education effectiveness test tool and a computational thinking test tool. They were developed to the level of development and interaction of the early childhood. The developed evaluation tool has been validated by software experts, early childhood education experts, and early childhood teachers. As a result of the second step validity verification, all content validity was confirmed. Through this, it was confirmed that the evaluation tool developed in this study can be used as a tool for evaluating computational thinking. This study provides implications for evaluation of computational thinking for early childhood software education. In addition, it is meaningful that it has been suggested to be effectively used for proper evaluation in early childhood software education.
A Study on Analysis of Satisfaction for Engineering Convergence Subject
Authors: Jo Jaechoon , Jeong Seungdo , Kim Sunhee , Lee Kwangjae , Park Hyunjoo
Published: January 2022

Our world is quickly moving towards the fourth industrial revolution including mobile, big data, AI, IoT, cloud computing, VR, etc. Recently, South Korea has been emphasizing convergence education to university. Thus, university has begun doing convergence education on their own by linking major subjects and liberal arts courses or linking different departments. In this paper, we analyzed learnersâ€™ satisfaction for operating convergence education effectively to increase education satisfaction and developed convergence curriculum and convergence skills required by society. for this study, a satisfaction survey is conducted for students majoring in engineering colleges. And the studentsâ€™ experiences are collected through interviews and questionnaires for suggesting improved the convergence curriculum operation. We also did interviews and asked students about the meaning convergence education had for them, the impressions they had after taking the classes, and any opinions for further improvements. As a result of the analysis of student's satisfaction and satisfaction of convergence curriculum, it was analyzed as â€œapproximately satisfiedâ€ with 3.6. Additionally, the correlation between student satisfaction and convergence curriculum satisfaction was analyzed, and the correlation coefficient showed a significant correlation with 0.732. In other words, it can be seen that students with high-student satisfaction are also highly satisfied with the convergence curriculum. Based on the result of the research and the studentâ€™s opinions, we would like to suggest that there should be subject development that is connected to careers or job searching for senior students, and additional research of practical educational methods are also needed.
Neural Collaborative with Sentence BERT for News Recommender System
Authors: Juarto Budi , Suganda Girsang Abba
Published: January 2022

The number of news produced every day is as much as 3 million per day, making readers have many choices in choosing news according to each reader's topic and category preferences. The recommendation system can make it easier for users to choose the news to read. The method that can be used in providing recommendations from the same user is collaborative filtering. Neural collaborative filtering is usually being used for recommendation systems by combining collaborative filtering with neural networks. However, this method has the disadvantage of recommending the similarity of news content such as news titles and content to users. This research wants to develop neural collaborative filtering using sentences BERT. Sentence BERT is applied to news titles and news contents that are converted into sentence embedding. The results of this sentence embedding are used in neural collaboration with item id, user id, and news category. We use a Microsoft news dataset of 50,000 users and 51,282 news, with 5,475,542 interactions between users and news. The evaluation carried out in this study uses precision, recall, and ROC curves to predict news clicks by the user. Another evaluation uses a hit ratio with the leave one out method. The evaluation results obtained a precision value of 99.14%, recall of 92.48%, f1-score of 95.69%, and ROC score of 98%. Evaluation measurement using the hit ratio@10 produces a hit ratio of 74% at fiftieth epochs for neural collaborative with sentence BERT which is better than neural collaborative filtering (NCF) and NCF with news category.
A Portable Device of Air Pollution Measurement Due to Highway Exhaust Emissions Using LabVIEW Programming
Authors: Andrizal - , Lifwarda - , Yudanur Anna , Chadry Rivanol , Hendrick -
Published: January 2022

A multisensory gas device integrated with myRIO module to measure air pollution has been established. This device is programmed using the LabVIEW programming language and can measure CO2, CO, NOX, and HC pollution on roads due to motor vehicle exhaust emissions. The device and the display system are made separately using wireless network communication to make this tool portable. Exhaust Gas Analyzer (EGA) was chosen for device calibration, obtaining 3.62% on the average error after performing 30 tests. The tests for measuring CO, CO2, NOX, and HC gas levels were conducted in several locations in Padang City and performed in the morning, afternoon, and evening. The result showed that the system properly measured CO2, CO, NOX and HC pollution in parks and highways in real-time in parts per million (ppm). It also displayed varied gas measurement results in terms of time and test location with a range of CO gas values at 0.034 â€“ 0.15 ppm, CO2 151.3 â€“ 815.2 ppm, NOX 0.0001 â€“ 0.004 ppm, and HC 0.04 â€“ 0.65 ppm. In addition, the system could perform well in providing warnings by automatically activating the air indicator alert at several measurement places when the gas content on one of the gas elements and compounds at a particular location has exceeded the threshold for the clean air category. Thus, this device can be used as initial research to build a real-time air pollution measurement system using the Internet of Things (IoT).
Relationship between Korean Informatics Curriculum and Textbook Learning Element Considering Compound Word
Authors: Kim Jaehong , Woo Hosung , Kim Jamee , Lee WonGyu
Published: January 2022

With the development of information and communication technology, countries around the world have strengthened their computer science curriculums. Korea also revised the informatics curriculum(The name of a subject related to computer science in Korea is informatics.) in 2015 with a focus on computer science. The purpose of this study was to automatically extract and analyze whether textbooks reflected the learning elements of the informatics curriculum in South Korea. Considering the forms of terms of the learning elements mainly comprised of compound words and the characteristics of Korean language, which makes natural language processing difficult due to various transformations, this study pre-processed textbook texts and the learning elements and derived their reflection status and frequencies. The terms used in the textbooks were automatically extracted by using the indexes in the textbooks and the part-of-speech compositions of the indexes. Moreover, this study analyzed the relevance between the terms by deriving confidence of other terms for each learning element used in the textbooks. As a result of the analysis, this study revealed that the textbooks did not reflect some learning elements in the forms presented in the curriculum, suggesting that the textbooks need to explain the concepts of the learning elements by using the forms presented in the curriculum at least once. This study is meaningful in that terms were automatically extracted and analyzed in Korean textbooks based on the words suggested by the curriculum. Also, the method can be applied equally to textbooks of other subjects.
Early Dropout Prediction in Online Learning of University using Machine Learning
Authors: Park Hee Sun , Yoo Seong Joon
Published: January 2022

Recently, most universities plan to open or open online learning courses, but the problem ofÂ  dropout of online learningÂ  is still a problem for universities. Online learning has the advantage of being able to receive education anytime, anywhere, but it is true that the dropout rate is higher than offline classes because you have to manage and control your own study time without the help of a professor or manager. Therefore, it is very important for professors and managers to support students in a timely act to avoid the risk of dropout of university online classes. This study used the access log data recorded in the Learning Management System (LMS) and the learner's statistical information and calculated data, and aims to present predictive algorithms suitable for online learning dropout early prediction systems at universities. This study features a 7-year online learning history log data recorded in the Cyber University LMS system to overcome the data count limitations of existing studies and predict the risk of drop-out during the learning period.Â  The characteristics of the data you utilized were used to validate the availability of predictive models by applying learner statistical information, number of system connections, number of lectures, previous semester grade data, machine learning based decision tree, arbitrary forest (RF), support vector machine (SVM) and deep learning (DNN). Studies show that random forest (RF) algorithms have the best prediction and performance, and deep learning algorithms also apply to learning management (LMS) systems.
Feature Selection Approach to Detect DDoS Attack Using Machine Learning Algorithms
Authors: Azmi Muhammad Aqil Haqeemi , Foozy Cik Feresa Mohd , Sukri Khairul Amin Mohamad , Abdullah Nurul Azma , Hamid Isredza Rahmi A. , Amnur Hidra
Published: January 2022

Distributed Denial of Service (DDoS) attacks are dangerous attacks that can cause disruption to server, system or application layer. It will flood the target server with the amount of Internet traffic that the server could not afford at one time. Therefore, it is possible that the server will not work if it is affected by this DDoS attack. Due to this attack, the network security environment becomes insecure with the possibility of this attack. In recent years, the cases related to DDoS attacks have increased. Although previously there has been a lot of research on DDoS attacks, cases of DDoS attacks still exist. Therefore, the research on feature selection approach has been done in effort to detect the DDoS attacks by using machine learning techniques. In this paper, to detect DDoS attacks, features have been selected from the UNSW-NB 15 dataset by using Information Gain and Data Reduction method. To classify the selected features, ANN, NaÃ¯ve Bayes, and Decision Table algorithms were used to test the dataset. To evaluate the result of the experiment, the parameters of Accuracy, Precision, True Positive and False Positive evaluated the results and classed the data into attacks and normal class. Hence, the good features have been obtained based on the experiments. To ensure the selected features are good or not, the results of classification have been compared with the past research that used the same UNSW-NB 15 dataset. To conclude, the accuracy of ANN, NaÃ¯ve Bayes and Decision Table classifiers has been increased by using this feature selection approach compared to the past research.
An Efficient Approach for Uncertain Event Detection in RFID Complex Event Processing
Authors: Yaacob Siti Salwani Binti , Mahdin Hairulnizam Bin , Jawad Mohammed Saeed , Alduais Nayef Abdulwahab Mohammed , Sharma Akhilesh Kumar , Erianda Aldo
Published: January 2022

The globalization of manufacturing has increased the risk of counterfeiting as the demand grows, the production flow increases, and the availability expands. The intensifying counterfeit issues causing a worriment to companies and putting lives at risk. Companies have ploughed a large amount of money into defensive measures, but their efforts have not slowed counterfeiters. In such complex manufacturing processes, decision-making and real-time reactions to uncertain situations throughout the production process are one way to exploit the challenges. Detecting uncertain conditions such as counterfeit and missing items in the manufacturing environment requires a specialized set of technologies to deal with a flow of continuously created data. In this paper, we propose an uncertain detection algorithm (UDA), an approach to detect uncertain events such as counterfeit and missing items in the RFID distributed system for a manufacturing environment. The proposed method is based on the hashing and thread pool technique to solve high memory consumption, long processing time and low event throughput in the current detection approaches. The experimental results show that the execution time of the proposed method is averagely reduced 22% in different tests, and our proposed method has better performance in processing time based on RFID event streams.
A Review on Big Data Stream Processing Applications: Contributions, Benefits, and Limitations
Authors: Alwaisi Shaimaa Safaa Ahmed , Abbood Maan Nawaf , Jalil Luma Fayeq , Kasim Shahreen , Mohd Fudzee Mohd Farhan , Hadi Ronal , Ismail Mohd Arfian
Published: January 2022

The amount of data in our world has been rapidly keep growing from time to time. Â In the era of big data, the efficient processing and analysis of big data using machine learning algorithm is highly required, especially when the data comes in form of streams. There is no doubt that big data has become an important source of information and knowledge in making decision process. Nevertheless, dealing with this kind of data comes with great difficulties; thus, several techniques have been used in analyzing the data in the form of streams. Many techniques have been proposed and studied to handle big data and give decisions based on off-line batch analysis. Today, we need to make a constructive decision based on online streaming data analysis. Many researchers in recent years proposed some different kind of frameworks for processing the big data streaming. In this work, we explore and present in detail some of the recent achievements in big data streaming in term of contributions, benefits, and limitations. As well as some of recent platforms suitable to be used for big data streaming analytics. Moreover, we also highlight several issues that will be faced in big data stream processing. In conclusion, it is hoped that this study will assist the researchers in choosing the best and suitable framework for big data streaming projects.
An Improved Flower Pollination Algorithm for Global and Local Optimization
Authors: Kamboh M. Iqbal , Mohd Nawi Nazri Bin , Ramli Azizul Azhar , Sukma Fanni
Published: January 2022

Meta-heuristic algorithms have emerged as a powerful optimization tool for handling non-smooth complex optimization problems and also to address engineering and medical issues. However, the traditional methods face difficulty in tackling the multimodal non-linear optimization problems within the vast search space. In this paper, the Flower Pollination Algorithm has been improved using Dynamic switch probability to enhance the balance between exploitation and exploration for increasing its search ability, and the swap operator is used to diversify the population, which will increase the exploitation in getting the optimum solution. The performance of the improved algorithm has investigated on benchmark mathematical functions, and the results have been compared with the Standard Flower pollination Algorithm (SFPA), Genetic Algorithm, Bat Algorithm, Simulated annealing, Firefly Algorithm and Modified flower pollination algorithm. The ranking of the algorithms proves that our proposed algorithm IFPDSO has outperformed the above-discussed nature-inspired heuristic algorithms.