bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors affecting occupational distress and its relationship to teaching satisfaction of physical education teachers
Authors: Fernandez Pamela , Sanchez Lester , Tongol Jonathan , Zabala Ian , Lobo Joseph , Bernardo Bryan Dale , Celis Michael Louie
Published: March 2023

The COVID-19 pandemic has wrought substantial challenges on individuals and societies, including the academe. The pandemic required a sudden shift to remote learning. Teachers were called upon to support students' academic development and well-being throughout this shift while navigating adversity and stress in their own lives. The researchers aim to describe the factors affecting the relationship between Occupational Distress (OD) and Teaching Satisfaction (TS) among Physical Education teachers handling Junior and Senior High Schools in Angeles City with 150 respondents through a self-administered survey. Purposive or Convenience sampling was utilized to recruit respondents, while descriptive and inferential statistics were used to analyze the data. The researchers found that most respondents are women between 22 to 29 years old, female, and single. In terms of history, the majority of the respondents are ranked as Teacher I, working in public school, with a salary of 20,001-30,000 range; most of them have their bachelor's degree, handling junior high school students, and working for one (1) - three (3) years. The result shows that respondents' OD level is low while their level of TS is moderate. The study results show a significant moderate correlation between Teacher's Occupational Distress and Teacher's Teaching Satisfaction. Specifically, in terms of each variable, age and type of school substantially affect the Teachers' Occupational Distress. On the other hand, no variable significantly affects the Teachers' Teaching Satisfaction in terms of the demographic profile and teaching history.
Futbolcularda Nöromüsküler Asimetri ile Doğrusal ve Multi Dimensiyonel Koşu Performansları Arasındaki İlişkinin İncelenmesi
Authors: ÖZTÜRK Barışcan , ENGİN Hakan , BÜYÜKTAŞ Bilgihan , TÜRKERİ Cenab
Published: March 2023

Bu çalışma futbolcularda nöromüsküler asimetri ile doğrusal ve multi dimensiyonel koşu performansları arasındaki ilişkinin incelenmesi amacıyla yapılmıştır. Çalışmaya 62 gönüllü erkek futbolcu katılmıştır. Araştırma deseni 24 saat aralıkla 3 oturumdan oluşmuştur. İlk oturumda baskın, baskın olmayan ve bilateral dikey sıçrama ve yatay sıçrama testleri uygulanıp nöromüsküler asimetri düzeyi belirlenmiştir. İkinci oturumda doğrusal koşu performans testleri (10 m ve 30 m sürat) uygulanmıştır. Son oturumda ise yön değiştirmeli koşu performans testleri (COD ve Illinois) uygulanmıştır. Nöromüsküler asimetri ile doğrusal ve yön değiştirmeli koşu performansları arasındaki ilişki Pearson korelasyon katsayısı ile belirlenmiştir. Sporcuların, baskın dikey sıçrama değerleri 20,76±3,36 cm ve yatay sıçrama 1,83±0,20 m, baskın olmayan dikey sıçrama 20,84±3,49 cm ve yatay sıçrama 1,86±0,17 m olarak bulunmuştur. Sporcuların bilateral asimetri oranları dikey sıçramada 10,83±7,81 ve yatay sıçramada 6,25±5,28 olarak bulunmuştur. Sporcuların dikey asimetri oranları ile doğrusal ve yön değiştirmeli koşu performansları arasında anlamlı bir ilişki bulunamamıştır (p>0,05). Ancak yatay asimetri oranları ile 30 m doğrusal sürat (r=0,47), COD (r=0,65) ve Illinois (r=0,63) yön değiştirmeli koşu performansları arasında anlamlı düzeyde ilişki bulunmuştur (p<0,05). Yatay asimetri oranı arttıkça sporcuların doğrusal ve yön değiştirmeli koşu performansının olumsuz yönde etkilenebileceği söylenebilir. Bundan dolayı asimetri oranının azaltılması ya da ortadan kaldırılması için eksik olan taraf lehine daha fazla olmak üzere unilateral kuvvet antrenmanlarına yer vermeleri önerilmektedir.
İnsan Genetikası və Genetik Xəstəliklər mövzusunda I Beynəlxalq Konfrans Problemlər və İnkişaf Perspektivləri
Authors: A.T. Hasanova
Published: March 2023

İnsan Genetikası və Genetik Xəstəliklər mövzusunda I Beynəlxalq Konfrans

Problemlər və İnkişaf Perspektivləri

30-31 may 2020-ci il
Структура клинических форм туберкулеза центральной нервной системы
Authors: S.A. Farajova
Published: March 2023

Туберкулез центральной нервной системы (ТБ ЦНС) относится к генерализованной форме туберкулезной инфекции, характеризующийся прогрессирующим течением. В случае несвоевременного выявления заболевания и с запаздыванием проведения лечения, заболевание не предвещает благоприятного исхода. К большому сожалению, в век молекулярно-генетической инженерии и развитой индустрии, в Азербайджанской популяции регистрируются не единичные случаи ТБ ЦНС, как среди взрослого населения, так и детского контингента, что отражает неблагополучие эпидемической обстановки по ТБ и низкое качество работы превентивных мероприятий [1-4].
Aralıq dənizi atəşi xəstəliyinin biokimyəvi və molekulyar-genetik tədqiqi
Authors: Huseynova L.S.
Published: March 2023

MEFV (Mediterranean fever) geninin mutasiyaları ailəvi Aralıq dənizi atəşi xəstəliyinə səbəb olur. MEFV geni purin zülalını kodlaşdırır və bu genin mutasiyaları ilə revmatik xəstəliklər arasında bir əlaqə olduğu irəli sürülür. Bu işin məqsədi yetkin yaşa qədər idiopatik artrit xəstəliyi olan uşaqlarda MEFV mutasiyalarının tezliyini və klinik əhəmiyyətini araşdırmaqdır. Bu istiqamədə araşdırmaların aparılması məqsədilə tipik Aralıq dənizi atəşi xəstəliyinin əlamətləri olmayan uşaqlarda MEFV geninin 2 və 10-cu ekzonlarındakı mutasiyalara birbaşa sekvens yolu ilə baxılmışdır. Apardığımız tədqiqat zamanı cəmi 96 xəstədə MEFV geninin molekulyar genetik analizi aparılmışdır. Xəstələrdə artrit xəstəliyinin müxtəlif formaları özünü büruzə etmişdir. Belə ki, tədqiq olunan xəstələrin 43-də oligoartrit, 22-də romatoid faktor-mənfi poliartrit, 2-də romatoid faktor-müsbət poliartrit, 12-də sistemik artrit, 16-da enthesit ilə əlaqəli artrit və 1-də psoriatik artrit müşahidə olunmuşdur. Bu xəstələr işərisində cəmi 31 uşaqda (% 32.3) MEFV mutasiyası aşkarlanmışdır. Bunlardan 25-i heterozigot, 2-i homoziqot və 4-ü kompaunt vəziyyətdə aşkarlanmışdır. MEFV geninin 10-cu ekzonunda M694V, R761H, K695R, V726A, R653H, 2-ci ekzonunda isə E148Q, G304R, E148V, T267I identifikasiya edilmişdir. MEFV mutasiyalarının allel tezliklərinin 19.27% ​​olduğu və bunun da ümumi populyasiyadan daha yüksək olduğu müəyyən edilmişdir. Bundan əlavə MEFV mutasiya daşıyıcısı dərəcələri ilə artrit xəstəliyinin müxtəlif qrupları arasında statistik olaraq əhəmiyyətli bir fərq var idi. Apardığımız araşdırmalar Aralıq dənizi atəşi xəstəliyinin ən çox yayıldığı ölkələrdə MEFV geninin mutasiyalarının molekulyar-genetik analizinin aparılmasının zəruri olduğunu göstərir.
Yaşlilarda polimorbidlik və metabolik sindrom.
Authors: Aliyeva T.T.
Published: March 2023

Metabolik sindrom hal-hazırda tibbi-sosial əhəmiyyətinə, yüksək tezliyə görə və ürək-damar hadisələrinin inkişafı və yaxın korrelyasiyanın yayılmasının davamlı artması səbəbindən tibbin ən aktual klinik problemlərindən biridir.
Yenidoğulmuşlarda qlükoza-6-fosfatdehidrogenaza ferment çatışmazlığının biokimyəvi və molekulyar-genetik öyrənilməsi
Authors: Huseynova L.S.  , Aliyeva K.A.  , Veliyeva G.A.
Published: March 2023

Qalaktozemiya xəstəliyi də mübadilə xəstəliklərinə aiddir. Son onillikdə tədqiqatların nəticəsi olaraq yüzlərlə yeni irsi mübadilə pozğunluqları aşkar edilmiş və bu qrup xəstəliklər daha da şaxələnmişdir. Qalaktozemiya xəstəliyi yenidoğulmuşlar arasında təsadüf olunmasına görə fenilketonuriyadan sonra ikinci yerdədir. Xəstəlik zamanı qalaktoza-1-fosfat-uridiltransferazanın defisiti müşahidə olunur. Qalaktozemiyalı homoziqot xəstələrin eritrositlərində qalaktoza-1-fosfat-uridiltransferazanın aktivliyi təyin edilmir. Heteroziqotlarda fermentin aktivliyi normal aktivliyin 50%-ni təşkil edir. Azərbaycan Respublikasında ilk dəfə olaraq Bakı şəhərinin doğum evlərində və Elmi Tədqiqat Pediatriya İnstitutuna müraciət etmiş xəstələr arasında immunoferment analizi ilə Qalaktozemiya irsi mübadilə xəstəliyinin genetik skrininqi aparılmış, üç yenidoğulmuşda və iki xəstə uşaqda qlükoza-6-fosfatdehidrogenaza ferment çatışmazlığı müəyyən olunmuşdur.
Биохимический скрининг на сывороточные маркеры крови
Authors: A.T. Hasanova  , A.R. Gashimova
Published: March 2023

Статья посвящена актуальной проблеме своевременной диагностики хромосомной наследственной патологии. Показана важность междисциплинарного подхода к диагностике данных заболеваний.
Bioetika tədris və elmi fəaliyyətdə
Authors: Q.C. Aliyev
Published: March 2023

Həkimlərin bioetik tərbiyəsi deontologiya da daxil olmaqla tələbəlik illərindən başlanmalıdır. Müəllimin əsas borcu tələbə həkimlərdə mənəvi-əxlaqi saglamlıq və peşə etikası prinsiplərini təlim və tərbiyənin vəhdətində formalaşdırmalıdır.

Müəllim – klinisistik deontoloji prinsiplərin reallaşmasında xüsusən böyük rolu yalnız canlı sözlə deyil və həm də özünün nümunələri ilə gələcək həkimlərini öyrətməsidir. Tələbəlik illərində həkim tələbələri öz andlarına şüurlu şəkildə hazırlanmalıdır ki, həmişə həkim yüksək vəzifəsini, xalq və dövlət qarşısında məsuliyyətini daha dərindən xatırlasın (yadda saxlasın).
Клиническое течение энтеровирусной инфекции без поражения ЦНС
Authors: Ergasheva M.Ya.  , Eyvazova Ярмухамедова М.К.
Published: March 2023

На современном этапе проблема энтеровирусной инфекции (ЭВИ) не теряет свое актуальности и обусловлена широким распространением энтеровирусов, высокой устойчивостью во внешней среде, отсутствием специфической профилактики, а также возможностью формирования вирусоносительства, которое таит постоянную угрозу возникновения как спорадических, так и массовых заболеваний (Ботвиньева В.В., 2012; Демина А.В., 2009). Разнообразие клинических проявлений с отсутствием четкой зависимости от серологического типа возбудителя, большая частота бессимптомных форм ЭВИ, длительное вирусоносительство, отсутствие специфических методов профилактики, делают ЭВИ неуправляемой болезнью (Анохин В.А., 2014; Бегайдарова Р.Х., 2013)
Амиды тиокарбоновых кислот как ингибиторы окисления
Authors: Kuliev F.A.  , Bagirzade G.A.
Published: March 2023

Синтезированные амиды тиокарбоновых кислот были изучены в качестве ингибиторов окисления. Установлено, что их антиоксидантное действие в основном обусловлено их реакцией с гидропероксидами, сопровождающейся ионно-каталитическим распадом последних и обрывом цепей окисления.
Клинико – рентгенологическая характеристика внебольничной пневмонии у детей раннего возраста
Authors: U.R. Fayzieva
Published: March 2023

Данная статья посвящено, изложениям имеющихся в литературе - сведений об эпидемиологических, этиологических факторов, влиянием преморбидного фона, клинической симптоматикой пневмонии, своевременной и ранней диагностикой пневмонии среди детей раннего возраста.
Professor Tamerlan Əliyevin anadan olmasının 100 illik yubileyinə həsr olunmuş Təbabətin Aktual Problemləri Beynəlxalq Konqresi
Authors: Azerbaijan Medical University
Published: March 2023

Professor Tamerlan Əliyevin anadan olmasının 100 illik yubileyinə həsr olunmuş Təbabətin Aktual Problemləri Beynəlxalq Konqresi
AI Mix Design of Fly Ash Admixed Concrete Based on Mechanical and Environmental Impact Considerations
Authors: Onyelowe Kennedy C. , Ebid Ahmed M. , Mahdi Hisham A. , Onyelowe Fortune K. C. , Shafieyoon Yazdan , Onyia Michael E. , Onah Hyginus N.
Published: March 2023

It has become very important in the field of concrete technology to develop intelligent models to reduce overdependence on laboratory studies prior to concrete infrastructure designs. In order to achieve this, a database representing the global behavior and performance of concrete mixes is collected and prepared for use. In this research work, an extensive literature search was used to collect 112 concrete mixes corresponding to fly ash and binder ratios (FA/B), coarse aggregate and binder ratios (CAg/B), fine aggregate and binder ratios (FAg/B), 28-day concrete compressive strength (Fc28), and the environmental impact point (P) estimated as a life cycle assessment of greenhouse gas emissions from fly ash- and cement-based concrete. Statistical analysis, linear regression (LNR), and artificial intelligence (AI) studies were conducted on the collected database. The material binder ratios were deployed as input variables to predict Fc28 and P as the response variables. From the collected concrete mix data, it was observed that mixes with a higher cement content produce higher compressive strengths and a higher carbon footprint impact compared to mixes with a lower amount of FA. The results of the LNR and AI modeling showed that LNR performed lower than the AI techniques, with an R2(SSE) of 48.1% (26.5) for Fc and 91.2% (7.9) for P. But ANN, with performance indices of 95.5% (9.4) and 99.1% (2.6) for Fc and P, respectively, outclassed EPR with 90.3% (13.9) and 97.7% (4.2) performance indices for Fc and P, respectively. Taylor’s and variance diagrams were also used to study the behavior of the models for Fc28 and P compared to the measured values. The results show that the ANN and EPR models for Fc28 lie within the RMSE envelop of less than 0.5% and a standard deviation of between 15 MPa and 20 MPa, while the coefficient of determination sector lies between 95% and 99% except for LNR, which lies in the region of less than 80%. In the case of the P models, all the predicted models lie within the RMSE envelop of between 0.5% and 1.0%, a coefficient of determination sector of 95% and above, and a standard deviation between 2.0 and 3.0 points of impact. The variance between measured and modeled values shows that ANN has the best distribution, which agrees with the performance accuracy and fits. Lastly, the ANN learning ability was used to develop a mix design tool used to design sustainable concrete Fc28 based on environmental impact considerations. Doi: 10.28991/CEJ-SP2023-09-03 Full Text: PDF
Concept of an Intelligent Parking System; Efforts to Resolve Traffic Conflicts Regulations
Authors: Caroles Lucky , Adisasmita Sakti Adji , Pamungkas Pramudyo Bayu
Published: March 2023

Makassar, an Indonesian city, is situated on the south-western coast of Sulawesi Island. It is the largest commercial centre in eastern Indonesia, and traffic congestion is a problem there. Movement management must establish sufficient and well-organized parking areas, as well as a good and transparent system to eliminate unmonitored restitution funds, in order to address these issues. To address parking issues in Makassar, a legal and technical strategy is developed, with an emphasis on inclusiveness and including both legal and illegal parking spaces. The integrated parking concept is comprised of a mobile, everywhere-accessible parking area reservation system, a vehicle registration system based on licence plate numbers, and an effective data management system. 180 million Indonesian Rupiah are spent on all equipment and activity installations (IDR). At least 50 locations utilising this system will be required for a minimum vehicle range of 250,000 units, resulting in an approximate capital cost of 9 billion rupiah. The first clause describes the application of minimum parking fees to flat parking fees (generally 2 thousand rupiah). During a single parking period, it is anticipated that 250,000 vehicles will utilise this parking system if all parking spaces are occupied simultaneously. Government and investors can raise 250 million rupiah in investment capital assuming a 50:50 profit split. Revenue can reach billions of rupiah with just four iterations. Doi: 10.28991/CEJ-SP2023-09-05 Full Text: PDF
OUTCOME OF ALTERNATIVE METHOD OF TEACHING PSYCHOLOGY ON PERFORMANCE AMONG COLLEGE STUDENTS
Authors: A Geetha
Published: March 2023

The aim was to study the outcome of alternative methods of teaching Psychology on performance among college students. The sample consisted of females, aged between 19-21 years studying in degree Government College. A purposive sampling and before-after experimental-control group design was opted for the study. The sample were administered GHQ as a screening tool to rule out any recent psychopathology in the students. Students with below cut-off scores were administered an intelligence test and only students with average ability were selected for the study. Later on these students were administered digit span test and students with and above digit span of five were further considered for the study. After this the students were administered an objective pre-test on the topics related to psychology. Later the students were randomly divided into 2 groups of experimental and control group. The experimental group were exposed to one month of 4 days a week of alternative method of teaching including power point presentation, assignment submission, group discussion, seminar presentation, documentary screening, collecting material related from newspapers and internet, collage making, dumb sharads activity, pick and speak activity, interactive lecture, self-learning, using case studies, field visit etc. the control group was exposed to regular teaching method. After a month of exposure an objective post-test was done on both the groups. ‘t’ test was conducted to determine the significant difference between mean scores of experimental and control group after the two teaching methods. The results indicated that experimental group had shown significantly better performance on objective test than control group. Such brief alternative methods can be part of the college programmes to promote better performance among students.
Awareness, impact and hands-on experience of medical students about technology based practical at electrophysiology power lab.
Authors: Tooba Noor  , Shabitul Aisha Khan  , Zaeem Ahmed Nizami
Published: March 2023

Objective: To assess the level of interest, the attitude and hands-on experience of PowerLab among the medical students of Karachi. Study Design: Cross-sectional study. Setting: Dow International Medical College, Dow University of Health Sciences. Period: September to November 2021. Material & Methods: Among 360 medical students investigated the awareness and perceptions of the PowerLab system. The data were entered and analyzed on Microsoft Excel version 2016. Statistical summaries and data analysis were made using Likert scales, percentages, and the Chi-squared test. Results: A total of 360 medical students participated in this study. Mean age was 20 years ± 1.4 years. Majority of students (53.6%) were from first professional year. Out of 360 students, 322 (89%) have heard of the PowerLab system. A statistically strong correlation (p-value ≤ 0.001) was found between the perceived level of adeptness of the teaching staff with the students’ understanding of the PowerLab system. Conclusion: The study showed that students require more hands-on exposure when using PowerLab to develop a greater appreciation for the instrument. The results also suggested the importance of well-trained staff to ensure students receive a quality education that meets international standards.
The call of nature writing: A framework of attributes and intentions for environmental awareness
Authors: Lane Jennie F. , Özdag Ufuk
Published: March 2023

Nature writers provide intelligent and thoughtful works to evoke passion, to inspire connections, to illustrate a concept, and to challenge current ways of thinking. The genre of nature writing can help students realize that the environment is not merely a setting, but it speaks to us. To better appreciate and understand the call of nature writers, this paper introduces a conceptual framework that organizes writing attributes and intentions used in this genre. The study conducts a deductive content analysis of the literature to further explain the framework’s core: An awareness of sense of place; its past, present, and future. The reviewed literature helps understand ancillary benefits of knowing one’s place, including an expanded sense of community and thinking in systems. The explanations are supported with key insights from notable nature writers along with selected teaching ideas. This framework can help educators from many disciplines revitalize their curriculum by introducing words and wisdom from nature writers.
Uji Aktivitas Antiinflamasi Fraksi Metanol dan Fraksi n-Heksan Daun Asam Jawa (Tamarindus indica) dengan Metode Stabilisasi Membran Sel Darah Merah secara Invitro
Authors:   Universitas Muhammadiyah Pekajangan Pekalongan, Anggara Aulia Fajjar , Wirasti Wirasti , Waznah Urwatul
Published: March 2023

Buah asam jawa digunakan masyarakat sebagai antiinflamasi atau peradangan. Tanaman asam jawa (Tamarindus Indica) menghasilkan senyawa-senyawa organik seperti senyawa alkaloid, flavonoid, fenolik, tanin dan saponin. Antiinflamasi merupakan obat yang bekerja dengan cara menghambat hormon pemicu peradangan. Tujuan penelitian ini yaitu mengetahui aktivitas antiinflamasi fraksi methanol dan n-heksan daun asam jawa (Tamarindus indica) pada sampel darah sapi. Metode penelitian ini yaitu eksperimental menggunakan metode HRBC (Human Red Blood Cell) secara invitro. Data yang diuji adalah besarnya absorbansi pada masing-masing sampel, analisis data menggunakan ANOVA satu arah. Dilanjutkan dengan uji tukey untuk melihat perbedaan antar kelompok. Hasil dari penelitian ini adalah ekstrak daun asam jawa, fraksi metanol dan fraksi n-heksan dapat menstabilkan membran sel darah merah. Partisi metanol dan partisi n-heksan dengan konsentrasi 1000 ppm mempunyai efek stabilisasi membran. Fraksi metanol memiliki daya stabilisasi membran 89,9% lebih besar dibandingkan fraksi n-heksan 86,6% dan senyawa yang diperkirakan mempengaruhi stabilisasi membran yaitu, alkaloid, flavonoid, tannin, saponin dan steroid. Simpulan ekstrak daun asam jawa, fraksi metanol dan fraksi n-heksan efektif untuk antiinflamasi dengan metode stabilisasi membran sel darah merah. Saran perlu dilakukan penelitian lebih lanjut terhadap senyawa yang berpengaruh pada aktivitas antiinflamasi stabilisasi membran sel darah merah dengan metode yang lain.
Formulasi dan Evaluasinya Lulur Ubi Ungu (Ipomea batatas)
Authors:   Universitas Hamzanwadi, Ikhsan Ersi Arviana , Febriani Yuyun
Published: March 2023

Penelitian ini bertujuan untuk mengetahui formulasi lulur ubi ungu yang baik untuk kulit. Lulur atau Body masker adalah perawatan tubuh dengan membalut seluruh permukaan kulit tubuh menggunakan bahan masker yang mempunyai fungsi berbeda-beda. Fungsinya sesuai dengan produk yang digunakan misalnya melembutkan (softing), mengencangkan (firming), mencerahkan kulit, membantu proses detoksifikasi, atau meramingkan tubuh (slimming). Dari tujuan tersebut preformulasi yang digunakan adalah: 15,3 gram ubi ungu, 30,6 gram serbuk beras ketan, 0,02 gram metil paraben, air mawar 10 mL, susu 2 gram, dan aquades ditambahkan sampai berat 60 gram dalam pembuatan lulur. Untuk mengetahui produk lulur yang diinginkan maka dilakukan penyebaran angket terhadap 80 responden. Hasil analisis angket menunjukkan 76,3% responden pernah menggunakan lulur, 70% responden menggunakan lulur dalam bentuk semi padat, 86% responden belum pernah menggunakan lulur dari bahan ubi ungu, dan, 74% responden mengharapkan produk lulur yang digunakan dapat mencerahkan kulit.
Uji Aktivitas Antioksidan Ekstrak Etanol Daun Petai Cina (Leucaena glauca (L.) Benth.) dengan Metode DPPH (2,2-Diphenyl-1-picrylhidrazyl)
Authors:   Universitas Hamzanwadi, Fahrurrozi Lalu Ahmad
Published: March 2023

Antioksidan mempunyai aktivitas menetralisir senyawa radikal bebas yang merupakan salah satu penyebab kerusakan sel dan jaringan. Salah satu senyawa yang memiliki aktivitas antioksidan adalah flavonoid quersetin. Penelitian ini bertujuan untuk mengetahui aktivitas antioksidan ekstrak etanol daun petai cina (Leucaena glauca (L.) Benth.) dengan metode DPPH (2,2-Diphenyl-1picrylhidrazyl). Ekstrak etanol diperoleh dengan mengekstraksi serbuk daun petai cina (Leucaena glauca (L.) Benth.) dengan metode maserasi. Aktivitas antioksidan diukur dengan penangkapan radikal DPPH dengan spektrofotometer UV-Vis pada panjang gelombang serapan maksimum 518 nm. Konsentrasi ekstrak etanol daun petai cina (Leucaena glauca (L.) Benth.) adalah 200 ppm, 400 ppm, dan 600 ppm. Dan konsentrasi vitamin C sebagai pembanding adalah 2 ppm, 4 ppm dan 8 ppm. Dari hasil penelitian menunjukkan bahwa ekstrak etanol daun petai cina (Leucaena glauca (L.) Benth.) memiliki kemampuan untuk menangkap radikal bebas dengan nilai IC50 86,309 ppm (aktivitas kuat) dan vitamin C dengan nilai IC50 10,124 ppm (aktivitas sangat kuat).
Analisis Fitokimia dan Karakterisasi Senyawa Antosianin Ubi Jalar Ungu (Ipomea batatas) sebagai Bahan Dasar Lulur Hasil Budidaya Daerah Jenggik Lombok
Authors:   Universitas Hamzanwadi, Febriani Yuyun , Ihsan Ersi Arviana ,   Universitas Hamzanwadi, Ardyati Sulistia ,   Universitas Hamzanwadi
Published: March 2023

Penelitian ini bertujuan untuk mengetahui kandungan zat aktif dan mengkarakterisasi senyawa antosianin yang terdapat pada ubi jalar ungu sebagai bahan dasar dalam pembuatan produk kosmetika lulur. Diharapkan dengan pembuatan lulur yang berasal dari bahan ubi jalar ungu dapat memaksimalkan pemanfaatan sumber daya lokal sebagai produk tepat guna dan bernilai ekonomis tinggi. Untuk tujuan ini maka dilakukanlah penelitian dengan menggunakan sampel ubi jalar ungu yang diambil dari daerah Jenggik, Lombok Timur, Nusa Tenggara Barat. Terlebih dahulu dilakukan determinasi tumbuhan dan selanjutnya melakukan analisis fitokimia dan karakterisasi senyawa antosianin ubi jalar ungu. Hasil analisis fitokimia menunjukkan bahawa ubi jalar ungu dari daerah jenggik mengandung senyawa flavonoid, antosianin, saponin, dan tanin. Untuk karakterisasi senyawa antosianin digunakan uji kromatografi lapis tipis dengan fase gerak butanol:asam asetat:air dengan perbandingan 4:5:1 dengan nilai Rf yang dihasilkan sebesar 0,41. Hasil ini menunjukkan bahwa ubi jalar ungu mengandung senyawa antosianin sehingga ubi jalar ungu dari daerah jenggik dapat dijadikan sebagai bahan dasar lulur.
Pemberian Ramuan Pengobat Tradisional Kaliputih terhadap Kadar Gula Darah Tikus Diabetes
Authors:   Universitas Hamzanwadi, Yuliana Tri Puspita
Published: March 2023

Penyakit diabetes melitus merupakan penyakit yang disebabkan karena adanya kelainan pada sekresi insulin, kerja insulin, maupun keduanya. Tujuan dari penelitian ini untuk mengetahui penurunan kadar gula darah tikus diabetes yang diberikan Ramuan Batra Kaliputih. Penelitian ini menggunakan tikus jantan galur SD dengan berat badan 200-300 gram. Tiga puluh ekor yang dibagi menjadi 6 kelompok yaitu : kontrol normal, kontrol negatif, kontrol positif, ramuan dosis 18 mL/KgBB, ramuan dosis 36 mL/KgBB dan Ramuan dosis 54 mL/KgBB. Ramuan Batra asli Kaliputih yang terdiri dari 11 macam jenis tanaman (simplisia kumis kucing, simplisia kejibeling, rimpang kunyit, rimpang kunir putih, rimpang temulawak, buah belimbing wuluh segar, kopi arabika mentah, bonggol tebu hitam, tunas bambu kuning, ganyong merah dan srintil hutan) menggunakan metode rebusan dengan menggunakan air. Induksi tikus diabetes menggunakan streptozotocin dengan dosis 40 mg/Kg BB. Pengukuran kadar gula darah dengan metode GOD-PAP. Tikus dengan kadar gula darah > 200mg/dl diikutkan dalam penelitian. Perlakuan diberikan selama 15 hari. Hasil Penelitian menunjukan bahwa perlakuan selama 15 hari tersebut pada dosis 36 dan 54 mg/KgBB dapat menurunkan kadar gula darah dari tikus secara signifikan (p<0,05) dibandingkan dengan kontrol negatif. Kesimpulan dari penelitian ini Ramuan Batra Kaliputih mampu menurunkan kadar gula darah pada ramuan dosis 36 dan 54 mL/KgBB.
Face Mask Detector and Temperature Skrining Using IoT
Authors: Silalahi Sari Muthia , Nainggolan Paul , Hutahaean Christine , Siburian Grace
Published: March 2023

The coronavirus outbreak hit the world in early 2020, including Indonesia. Health protocols such as wearing masks, maintaining distance, checking body temperature, and washing hands are carried out to prevent the spread of the coronavirus. Therefore, this research aims to build an Internet of Things (IoT) based system to detect the use of masks and body temperature measurements as well as the use of doorstops as a condition of whether users can enter the environment or not. Observations, questionnaires, and interviews were also conducted to collect data to see the use of existing health protocols and respondents' opinions on the application of IoT in the health sector, especially the application of health protocols. The observation results showed that there were still many people who did not use masks and did not check their body temperature if they wanted to enter a place. The results of questionnaires and interviews were obtained with 93% saying yes that the built product was feasible and would help the spread of the coronavirus. The implementation of Arduino system design, ultrasonic sensors, python programming, and OpenCV resulted in a hardware design that is able to detect masks and body temperature without direct interaction between security officers and guests/students. The result is that if you don't use a mask, the alarm sounds, but if you wear a mask, the alarm doesn't sound. If the temperature is detected above 37.50 C, the servo will be closed which means that the user cannot enter the location, while if the temperature is detected below 37.50 C, the servo will open.
Uji Performansi pada Mesin Pengurai Sabut Kelapa dengan Modifikasi Pisau Pengurai
Authors: Suhendra Suhendra , Apriani Winda , Fahrizal Irma
Published: March 2023

Coconut coir can be processed into cocopeat and coco fiber. In the chopping process, the chopping mechanism has a critical role that will determine the results of the chopping off of coconut coir. Based on these conditions, in this study, the development of a chopping mechanism was carried out by modifying the chopper blade to improve the chopper of coconut coir. The purpose of this study was to modify the coconut coir chopper blade, perform performance tests and calculate the increased performance after modification. Modification of the chopper mechanism on the coconut coir chopper machine is done by replacing the type of chopper blade with an iron rod with a diameter of 4 mm which is sharpened at the end. The test data includes data on the capacity of coconut coir chopping, the percentage of cocopeat, the percentage of coco fiber, the percentage of unprocessed coconut coir, the percentage of material loss, and the increase in performance after modification. The modified coconut coir chopper mechanism has specifications of 240 mm long, 100 mm diameter, 39 blades, and ± 14 mm high. The test was carried out at a rotary speed of the chopper mechanism of 720 rpm. Based on the test result, the capacity of chopping coconut coir using a modified coconut coir chopper machine is 7,93 kg/hour, producing 45,57% cocopeat, 36,15% coco fiber, 13,15% coconut coir unprocessed and the loss reached 5,13%. Modifications on the chopper blade are proven to increase the performance of the coconut coir chopper machine by 297%.
Perancangan Desain Kemasan Gudeg Jogja dengan Menggunakan Metode Quality Function Deployment (QFD)
Authors: Susanti Dyah Ari , Ma'arif Syamsul , Nurhayati Emmy , Zulmarihana Dinda , Dharu Atala Rohman
Published: March 2023

This research was conducted to design packaging for typical Yogyakarta food products, Gudeg Jogja. Gudeg is known as a special food from the Special Region of Yogyakarta which is made from jackfruit cooked in coconut milk. As a typical food, Gudeg is often used as gift. Along with the need for Gudeg for souvenirs, various kinds of Gudeg packaging appeared on the market. The Quality Function Deployment (QFD) method is used to bring together what consumers want and then what producers can do to fulfill consumer desires. This method is used to design Gudeg packaging according to the needs of consumers. This product design development research uses a questionnaire as a data collection tool. The data is obtained from consumers and then processed. After knowing the results of data processing from the data that has been collected then a House of Quality is created. The result of this research is the design of Gudeg Jogja packaging that suits consumer needs.
Selecting Control Menu on Electric Wheelchair Using Eyeball Movement for Difable Person
Authors: Utaminingrum Fitri , Somawirata I Komang , Pengestu Gusti , Thaipisutikul Tipajin , Shih Timothy K.
Published: March 2023

Each country's number of people with disabilities and strokes increases yearly. Hand defects and stroke make them have limitations in doing activities. It caused their hand has paralyzed. Hence, they find it difficult to do daily activities, such as running a wheelchair, choosing a menu on the screen display, and so on. One solution offered is utilizing eye movement as a navigation tool that can replace the role of the user's hand, so they can run a wheelchair independently or choose a menu selection on display by themselves through the movement of their eyes. Detection of eyeball movements in this study only utilizes a camera as a sensor mounted in front of the user. So that it is more practical and easier to use than if we have to pair an electrooculography sensor in the area around the user's eyes. This research proposed a new approach to detect the five gazes (upward, downward, leftward, rightward, and forward) of the eyeball movements by using Backpropagation Neural Network (BPNN) and Dynamic Line Sector Coordinate (DLSC). Line Sector Coordinate is used to detect the eyeball movement based on the pupil coordinate position. The eyeball movement direction was analyzed from four lengths of a line. Our proposed method can detect five gaze directions that can be used for selecting four menus on the display monitor. The mean accuracy of our proposed method to detect eye movements for each gaze is 88.6%.
Classification of Predicting Customer Ad Clicks Using Logistic Regression and k-Nearest Neighbors
Authors: Dani Yasi , Ginting Maria Artanta
Published: March 2023

Nowadays, conventional marketing techniques have changed to online (digital) marketing techniques requiring internet access. Online marketing techniques have many advantages, especially in terms of cost efficiency and fast information delivery to the public. Therefore, many companies are interested in online marketing and advertising on social media platforms and websites. However, one of the challenges for companies in online marketing is determining the right target consumers since if they target consumers who are not interested in buying the product, the advertising costs will be high. One use of online advertising is clicks on ads which is a marketing measurement of how many users click on the online ad. Thus, companies need a click prediction system to know the right target consumers. And different types of advertisers and search engines rely on modeling to predict ad clicks accurately. This paper constructs the customer ad clicks prediction model using the machine learning approach that becomes more sophisticated in effectively predicting the probability of a click. We propose two classification algorithms: the logistic regression (LR) classifier, which produces probabilistic outputs, and the k-nearest neighbors (k-NN) classifier, which produces non-probabilistic outputs. Furthermore, this study compares the two classification algorithms and determines the best algorithm based on their performance. We calculate the confusion matrix and several metrics: precision, recall, accuracy, F1-score, and AUC-ROC. The experiments show that the logistic regression algorithm performs best on a given dataset.
Optimizing Hand Gesture Recognition Using CNN Model Supported by Raspberry pi for Self-Service Technology
Authors: Rangkuti Abdul Haris , Athalaa Varyl Hasbi , Indallah Farrel Haridhi , Febriansyah Fajar Febriansyah
Published: March 2023

This study describes the optimization of hand gesture recognition on Raspberry Pi 4 technology has advanced over the past years, some computers are now able to compute much more complex problems like real-time object detection. But for small devices, optimization is required to run in real-time with acceptable performance in terms of latency and low-cost effect on accuracy. Low latency is a requirement for most technology, especially when integrating real-time object detection as input into Self-Service Technology on Raspberry Pi for the store. This research was conducted on 288 pictures with six types of chosen hand gestures for command inputs that have been configured in the Self-Service Technology as a training dataset. In the experiment carried out with 5 CNN object detection models were used, namely YOLOv3-Tiny-PRN, YOLOv4-Tiny, MobileNetV2-Yolov3-NANO, YOLO-Fastest-1.1, and YOLO-Fastest-1.1-XL. Based on the experiment after optimization, the FPS and inference time metrics have improved performance. The performance improves due to a gained average value of FPS by 3 FPS and a reduced average value of inference time by 119,260 ms. But such an improvement also comes with a reduction in overall accuracy. The rest of the parameters have a reduced score on Precision, Recall, F1-Score, and some for IoU. Only YOLO-Fastest-1.1-XL have an improved value of IoU by about 0.58%. Some improvements in the CNN and dataset might improve the performance even more without sacrificing too much on the accuracy, but it's most likely suitable for another research as a continuation of this topic.
K-Means Algorithm Analysis for Election Cluster Prediction
Authors: Wahyuni Sri Ngudi , Khanom Nazmun Nahar , Astuti Yuli
Published: March 2023

The general election is a democratic process that is carried out in every country whose system of government is presidential, including Indonesia, which conducts it every five years. In fact, some people abstain, leading to budget wasting and missing target. Thus, it is very important to identify clusters of general election districts and map the number of voters to map the budget for the upcoming election. This process needs prediction to help reduce budgeting risk as an early warning. Based on the latest election data taken from Margokaton, Yogyakarta, Indonesia, many people voted in 2021, but the number of abstainers is high. In this case, cluster prediction is important to identify the election participants in each area. The K-Means algorithm could also predict abstainer areas in election activities to facilitate early mitigation in drafting election budgeting. Therefore, this study aimed to identify the pattern of voters in the election using the K-means algorithm. The data parameters comprised the list of voters, Unused ballot papers, and the sum of abstainers. This study is important because it contributes to reducing the election budget of each area. The data obtained from the Indonesia Ministry of Internal Affairs official website in 2021 were processed using the RapidMiner tool. The results showed more than 11% of the non-voters in cluster 1, 16% in Cluster 2, and 8% in cluster 3. The evaluation of clusters value is 2.04, indicating that the clustering using K-means is suitable, as shown by the DBI value close to 0. The results indicate that testing the cluster optimization of the K-Means algorithm using DBI is highly recommended. Based on this prediction result, the government needs special attention to clusters with many abstainers to decrease the number of abstainers and prevent overbudgeting. These results indicate the need to review the election participant data in 2024. Furthermore, there is a need for continuous socialization and education about election activities to reduce the number of abstainers and prevent overbudgeting.
3D Augmented Reality Marker-based Mobile Apps Design of Face Mask Layer
Authors: Kamaluddin Nur Amirah , Kassim Murizah , Kassim Hafizoah
Published: March 2023

The outbreak of COVID-19 has spread rapidly across the globe, affecting how people interact, work and experience their daily lifestyles. The face mask is essential to personal protective equipment (PPE) even though COVID-19 is endemic today. A face mask is required to protect humans, and its description is important. Augmented reality is one new attractive technology for distributing information. This research presents a 3D augmented reality mobile application that visualizes a protective face mask and its material layers called 3DAR-FML. It was designed by utilizing 3D marker-based images on an Android smartphone platform. Ten types of protective face masks and each layer were designed in 3D images using Blender Animation and Unity 3D software. Vuforia Engine applications were used to build a personalized mobile Augmented Reality application. This initiative educates society and markets products in interactive ways that allow visualization of the 3D model of various face masks from android phones. Results present that successful mobile apps were developed. A survey shows that 70% of respondents agreed on the design app based on menu interactivity. This app also has been identified as a helper tool for The National Institute for Occupational Safety and Health (NIOSH) agency Malaysia for safety and health apps for the market and public. This product is significant in societies to gain information on face mask characteristics that help to contribute content based on the standard mask in Malaysia.
Assessing Rural Community Empowerment through Community Internet Centre: Using Asset Mapping and Surveys Method
Authors: Ab Halim Amirah , Mohd Noor Marhaini
Published: March 2023

This paper assesses community empowerment through Community Internet Centre. Community empowerment is a process of the outcome made by the community to take action and change or improve the community's quality of life. Hence, adopting Information and Communication Technology would bridge the digital divide in rural areas. The digital divide affected rural community development through numerous barriers that widened the gap between urban and rural communities, consequently generating an imbalance in community development. The community internet center can bridge the digital divide among urban and rural communities. Asset mapping and surveys have been measured to assess rural community empowerment dimensions through distributed questionnaires to eight Community Internet Centres in rural areas of Kelantan. The findings indicate that the Internet Centre is a medium to encourage community empowerment. The Internet Centre bridges the digital divide among communities by providing Information and Communications Technology community building in rural areas. Hence, the center drives community empowerment and improves the quality of life in rural communities. Thus, Community Internet Centre prepared an appropriate platform for empowering the rural community. This is evidence based on the outcome of findings which resulted in three domains of community empowerment: (1) community participation, (2) ownership, and (3) information services. Nevertheless, community participation determined the outcomes of the roles played by the center to empower a community. Further study needs to be conducted in other groups of samples and gaining other perspectives from managerial of the internet center to get different views of the internet center program.
Internet of Things (IoT) Innovation and Application to Intelligent Governance Systems: A Case Study on DISHUB for Transport Vehicles
Authors: Azis Abdul , Krisbiantoro Dwi , - Riyanto
Published: March 2023

Vehicles can be used to facilitate humans in carrying out their daily activities. Motorized vehicles are divided into 3: land, sea, and air. Apart from the many benefits that can be obtained, motorized vehicles have dangers related to high-risk accidents. The highest cause of motorized vehicle accidents on land is road damage due to overload vehicles. Brake failure due to overload vehicles also contributes to vehicle accidents. This research aims to create an Internet of Things (IoT) based application to detect motorized vehicle load conditions. It was combined with several other technologies to produce a tool for detecting motor vehicle load conditions. The Extreme Programming Method is being used in this research. The Extreme Programming method is considered more suitable for completing this research because the communication with stakeholders is quite different. The Extreme Programming Method enables it to go back to the next step if discrepancies are encountered in making the system. The result of this research is an IoT-based tool called e-overload. It can detect vehicle loads, provide information for the drivers, and inform the results to related officers at the same time. E-overload tool will enable the drivers to get real-time information on the load on their vehicles. Officers will get additional evidence and the latest position of the vehicle to carry out actions against motorists who operate their vehicles with excessive loads.
Hybrid Approach with Distance Feature for Multi-Class Imbalanced Datasets
Authors: Hartono Hartono , Ongko Erianto
Published: March 2023

The multi-class imbalance problem has a higher level of complexity when compared to the binary class problem. The difficulty is due to the large number of classes that will present challenges related to overlapping between classes. Many approaches have been proposed to deal with these multi-class problems. One is a hybrid approach combining a data-level approach and an algorithm-level approach. This approach is done by the ensemble on the classifier and also oversampling on the minority class. SMOTE is an oversampling method that provides good performance, but this method is necessary to determine the best sample used in the interpolation process to generate new samples. The need for determining the best sample is related to the overlap between classes that always accompanies the multi-class imbalance problem. The existence of overlap requires efforts to determine the safe region to synthesize the sample in the oversampling process in SMOTE. The safe region is considered the best for synthesizing samples due to the lower tendency of overlapping. It can be done by constructing distance features to determine the safe region. The sample with the best distance and the lowest imbalance ratio will be selected as a sample in the over-sampling process with SMOTE. The main contribution of this research is the proposed method of Hybrid Approach with Distance Feature so that it can determine safe samples, with the main advantage being in addition to handling multi-class imbalances, it is also better for handling overlapping. The results of this study will be compared with Multiple Random Balance (MultiRandBal) which performs a random oversampling process. The results showed that the Augmented R-Value, Class Average Accuracy, Class Balance Accuracy, and Hamming Loss obtained in this method was better than the random oversampling process. These results also show that the Hybrid Approach with Distance Feature provides better results in handling multi-class imbalances when compared to MultiRandBal.