bluuebunny/crossref_metadata_2025 huggingface dataset:
On the Question of New Forms of Urbanization in the Context of Spatial Development Management in the Republic of Karelia. Article Two
Authors: Katanandov S. L. , Solodilov V. V. , Shamakhov V. A.
Published: February 2022

In modern conditions, classical approaches to urbanization need to be supplemented. The concept of rural agglomerations based on the development of inter-territorial cooperation of local governments arose. The question about new criteria for the formation of agglomerations was raised. The concept of actual urban settlements, which involves taking into account the modern characteristics of environmental processes is proposed. The territorial base is the southern part of the Republic of Karelia.
Social Justice and Social Reform under Condition of Population Aging. Systematic Literature Review
Authors: Zelikova Ju. A.
Published: February 2022

This study is a systematic analysis of the current debate in leading English-language journals about the future of social policy in an aging society. Pension systems have been reformed in most European countries in recent decades, but there are types of reforms that can shift the burden of aging to other generations. If the benefits and costs of these reforms affect generations’ perceptions of social policy in different ways, then pension reform can be used as a tool to improve not only public finances, but also intergenerational solidarity. The investigation of the relationship between different types of pension reforms and social justice is one of the tasks of this study. One of the main challenges was to understand whether the changes in social policy could intensify or reduce the conflicts between generations. The results showed that the support for social policy, which is mainly aimed at older people, has declined in most European countries, although the vast majority of people believe that the state should provide a reasonable standard of living for older people. Support for the elderly declined more in the countries that raised the retirement age and introduced multi-pillar pensions. At the same time, a well-functioning intergenerational welfare pact is not only about ensuring the well-being of older people. It is also a preference for policies that support the working population and those under working age. The rebalancing of the intergenerational welfare pact can provide a solid foundation for an adequate pension policy.
The Prospects of Cryptocurrency as an Instrument of Public Wealth Management
Authors: Antoncheva O. A. , Apanasenko T. E.
Published: February 2022

The main modern ways of eradicating poverty and inequality are considered: within the framework of the market paradigm; within a regulated economy; by social policy tools.Cryptocurrency as non-state money and money unsecured by material benefits helps solve the problems of lack of liquidity in both anti-inflationary and pro-inflationary policies, without harming the state as an issuer.Within the framework of the planned economy, cryptocurrency allows to solve the same problems that were solved by manipulating the different cost of money in the market and planned sector.
HUBUNGAN EQ (Emotional Quotient) DENGAN HASIL BELAJAR MAHASISWA BIOLOGI SEMESTER GANJIL TAHUN AJARAN 2014/2015
Authors: Sadikin Ali
Published: February 2022

ABSTRACT   Emotional intelligence (Emotional Quotient) is an extra skill of an individual to motivate him or herself, to survive from a failure, to control the emotion, to hold over the comfort state of life, and to manage his or her soul. So, one of the important factors that influence the students’ success in learning is the emotional intelligence. This descriptive-quantitative study was aimed to determine the relationship between emotional intelligence and the students’ learning outcomes at the Basic and Process of Biology Students 2 Course of odd semester in the academic year 2014/2015. The population of the study was the third semester students. The emotional intelligence data were collected through a questionnaire in the form of statements. Data analysis techniques to determine the relationship between emotional intelligence and learning outcomes were conducted through statistical testing using simple linear regression. The results showed that the average emotional intelligence of the students obtained was 2.84 with a scale range between 2.00 to 2.99 which means that the value is low, and the emotional intelligence data frequency distribution of the students were 18.4% higher, 66.23% moderate, and 15.37% lower. Moreover, the scores of the emotional intelligence questionnaire and the students’ learning outcomes formed a linear model Y=61. 03+0.133X. Further, the correlation analysis between the emotional intelligence and the learning outcomes showed that r count have a correlation between variables X and Y with the value of r count =0.177 and the scores of t count > t table or 2.318 > 1.96 at 95% of the confidence level were indicating a significant correlation between emotional intelligence and learning outcomes.   Keyword: Emotional Intelligence and learning outcomes
PENGARUH KARTU KWARTET ANIMALIA DENGAN MODEL TGT TERHADAP PEMAHAMAN MATERI TAKSONOMI HEWAN SISWA SMAN 8 KOTA JAMBI
Authors: Budiarti Retni Sulistyoning , Sadikin Ali
Published: February 2022

The card quartet Kingdom Animalia is a card designed with pictures of animals and contain a description of the characteristics of each class that in the Kingdom Animalia. While learning model Team Games Tournament (TGT) is a model student-centered learning, in which students were invited to perform game containing a predetermined competition rules. The purpose of this study was to determine the effect of card usage quartet with learning model (TGT) in the competency test understanding of the material and Animal Taxonomy Percentage student activity during the learning with TGT model took place. The research method using Quasi Experimental Design, where the experimental class and control class is not treated the same as has been formed since the beginning of learning. The results showed that the average value of understanding on animal taxonomy material is higher (6.9) than the control class (4.5). Processing of data by non-parametric statistics (Mann-Whitney U) shows the use of cards that quartet combined with TGT learning model the experimental class provides a very significant influence on the level of 95%. So is the percentage (%) activity in the experimental class (95%) higher than the control class (30%). Based on these results it can be concluded that the use of cards quartet with TGT model material effect on the understanding of the taxonomy of animals and can stimulate the activity of students in the learning process in SMA N 8 Jambi. It is advised to do other similar studies using different learning models.   Keywords: card quartet, models Teams Games Tournament (TGT), Animal Taxonomy
PENGEMBANGAN MULTIMEDIA INTERAKTIF MENGGUNAKAN CAMTASIA STUDIO 8 PADA PEMBELAJARAN BIOLOGI MATERI KULTUR JARINGAN UNTUK SISWA SMA KELAS XI MIA
Authors: Aulia Nabella winanda , Aina Mia
Published: February 2022

ABSTRACT. This research purpose is to develop multimedia learning in plant tissue isolation method. This kind of research is development research which using ADDIE development model. Before trials, this multimedia has been validated by media and material expert. Multimedia learning trials to a small group in 3 classes in SMA N 1 Kota Jambi. The media validation result, conducted in 2 stages with the final score 96% with it means very good category. The material validation result conducted in 3 stages with the final result 80% which is very good category. The result of small group trials XII MIA 1 the result is 92% , in XII MIA 2 the result is 92%, in XII MIA 4 the result is 91,33% with very good Category. Over all the conclusion is tthe development of multimedia is very good category, interesting and enable to use as multimedia learning of plant tissue isolation method . Keyword : interactive multimedia , camtasia studio 8 , plant tissue isolation method
Perancangan Sistem Conformal Coating Inspection Circuit Board Menggunakan Metode Jaringan Saraf Tiruan Berbasis Matlab
Authors: Ramli Adhi , Salamah Ketty Siti , Yuliza Yuliza
Published: February 2022

Masalah Human-Error pada process manual inspection seperti pada proses conformal coating circuit board menjadi hal yang harus diperhatikan mengingat sangat pentingnya fungsi dari conformal coating untuk melindungi circuit board dari oksidasi dan pengaruh lingkungan. Sehingga diperlukan suatu sistem inspection yang bisa menggantikan peran manusia dalam pengecekannya sehingga dapat menhilangkan masalah human-error. Salah satunya adalah dengan memanfaatkan computer vision yaitu cabang ilmu yang mempelajari tentang bagaimana suatu sistem dapat mengenali suatu objek dengan kombinasi antara pengolahan citra dan pengenalan pola. Untuk memastikan level inspection system tersebut sama dengan yang dilakukan manusia bisa menggunakan Jaringan syaraf Tiruan untuk proses pengambilan keputusan. Berdasarkan hal tersebut, pada penelitian ini dibuat suatu prototype conformal coating inspection menggunakan JST. Pada penelitian ini juga penulis mencoba mengolah data input JST dengan metode PCA (Principal Component Analysis). Proses percobaan pada sistem dilakukan dengan memberikan variasi pada epoch, learning rate dan hidden layer sehingga bisa dilihat hubungannya terhadap nilai RMSE, Processing time dan recognition rate. Berdasarkan hasil perancangan, implementasi dan pengujian yang dilakukan, maka dapat ditarik kesimpulan bahwa JST dengan PCA lebih baik dengan akurasi 100%. Pada tahap learning process nilai RMSE terendah yaitu 4 x 10-7, recognition rate 100% presentase 88.88%, dan Processing time tercepat 696.4910 detik
Rancang Bangun Sistem Kontrol Penyiraman Tanaman Anggrek Menggunakan Logika Fuzzy Berbasis Notifikasi Telegram
Authors: Cahya Rizal Budi , Pangaribowo Triyanto , Supegina Fina
Published: February 2022

Tanaman anggrek merupakan tanaman hias yang mempunyai nilai estetika tinggi. Bentuk dan warna bunga serta karakteristik lainnya yang unik menjadi daya tarik tersendiri dari spesies tanaman hias tersebut. Tanaman ini memerlukan perawatan yang intensif, terutama penyiraman yang harus dijaga. Sistem penyiraman dibuat dengan memanfaatkan konsep internet of things. Penyiraman dilakukan sesuai dengan jadwal yang diatur oleh pengguna lewat aplikasi telegram. Pengguna dapat mengetahui keadaan di sekitar tanaman seperti suhu udara, kelembaban udara, kelembaban tanah, serta ketinggian level air dalam sumur dan wadah air lewat aplikasi telegram. Durasi penyiraman dihasilkan dari perhitungan logika fuzzy metode sugeno dengan menggunakan variabel input suhu udara dan kelembaban tanah. Penyiraman tidak dilakukan apabila sistem mendeteksi adanya hujan. Berdasarkan hasil analisa dan pengujian yang telah dilakukan, didapat hasil pembacaan sensor suhu dan kelembaban udara memliki error pembacaan 0,8 % dan 1,8 %. Apabila terjadi hujan, maka sistem tidak melakukan penyiraman. Penggunaan logika fuzzy metode sugeno dalam penentuan lama waktu penyiraman dapat membuat tanaman anggrek dapat dijaga dalam hal kebutuhan penyiramannya
Artificial Intelligence For Banana's Ripeness Detection Using Conventional Neural Network Algorithm
Authors: Utami Melinda , Andika Julpri , Attamimi Said
Published: February 2022

Sistem pendeteksian tingkat kematangan buah pisang ini dirancang untuk melihat perbedaan buah yang layak dikonsumsi dan tidak layak dikonsumsi. Menggunakan metode Convolutional Neural Network yang telah dilatih, Metode CNN merupakan salah satu metode deep learning yang mampu melakukan proses pembelajaran mandiri untuk pengenalan objek, ekstraksi objek dan klasifikasi serta dapat diterapkan dapat diterapkan pada citra resolusi tinggi yang memiliki model distribusi nonparametrik. Kemudian gambar yang telah diterima dijalankan menggunakan Bahasa pemrograman python pada laptop operasional menggunakan platform google chrome. Setelah program dijalankan maka outputnya adalah sebuah citra yang dengan keterangan pisang mentah untuk buah pisang dengan kondisi yang mentah atau tidak layak di konsumsi, pisang matang dengan kondisi yang layak di konsumsi dan pisang busuk untuik buah pisang dengan kondisi tidak layak dikonsumsi. Penelitian menggunakan empat kelompok gambar percobaan dan menggunakan jarak, gambar kelompok pertama berisikan gambar dengan objek buah pisang dengan kondisi mentah, kelompok gambar kedua berisikan buah pisang dengan kondisi matang, kelompok gambar ketiga berisikan buah pisang dengan kondisi busuk dan kelompok gambar selain buah pisang. Pada percobaan kelompok pertama hasil deteksi mencapai 100%, Dan kelompok kedua di dapat hasil deteksi mencapai 78%, Dan kelompok ketiga di dapat hasil deteksi mencapai 89%. Dan pada percobaan gambar kelompok keempat system tidak mendeteksi adanya pola buah pisang. Hasil penelitian ini menunjukkan bahwa penggunaan metode CNN berpotensi untuk pendekatan pengenalan objek secara otomatis dalam membedakan jenis pola buah pisang bahan pertimbangan interpreter dalam menentukan objek pada citra
Design Sistem Keamanan Pintu Menggunakan Face Detection
Authors: Muwardi Rachmat , Adisaputro Reyhan Rahmat
Published: February 2022

Perkembangan ilmu pengetahuan dan teknologi, terutama di bidang Elektronika dan  Informatika, diharapkan dapat mampu meningkatkan teknologi sistem keamanan ruangan atau rumah terutama sistem keamanan pintu rumah. Teknologi sistem keamanan pintu sudah banyak dikembangkan karena untuk mencegah dan membuat penghuni rumah merasa nyaman saat meninggalkan rumahnya. Beberapa sistem kemanan pintu yang banyak digunakan antara lain yaitu menggunakan kamera CCTV, finger print sensor, sensor suara dan RFID. Namun seiring perkembangan teknologi, sistem keamanan tersebut banyak di temukan celah kelemahan seperti terjadi banyak nya eror pada finger print dan voice sensor dan masih banyak lagi. Berdasarkan hal tersebut, untuk membuat sistem keamanan pada pintu rumah yang lebih aman dan invofatif maka penulis membuat sebuah sistem keamanan dengan face detection dan juga notifikasi peringatan sistem jarak jauh menggunakan telegram. Peneliti membuat sistem keamanan pintu dengan menggunakan EPS 32 – CAM sebagai alat untuk melakukan face detection dan juga sebagai controller untuk sistem internet of things. Selain itu juga dibuat sebuat sistem manual menggunakan keypad untuk input password. Hasil dari penelitian ini berupa tingkat akurasi dan kecepatan pengenalan wajah dan juga kecepatan pengiriman informasi peringatan sistem keamanan pada aplikasi telegram.
Perancangan Kontroler PID Level Deaerator dan Kondensor pada Steam Power Plant Berbasis Algoritma Genetika
Authors: Abidin Zaenal , Ihsanto Eko
Published: February 2022

Sistem air penambah pada PLTU berfungsi untuk mesuplai kekurangan fluida kerja dari luar siklus secara kontinyu yang diakibatkan adanya sistem blowdown untuk menjaga kualitas uap dan kebocoran yang terjadi didalam sistem. Didalam penelitian ini, dilakukan perancangan sistem kontrol PID untuk mengatur level deaerator dan kondensor dengan optimasi tuning menggunakan algoritma genetika. Berdasarkan metode osilasi Ziegler-Nichols, untuk pengendali level deaerator didapatkan konstanta Kp = 53,8, Ki = 21,4 dan Kd = 33,9, menghasilkan maximum overshoot sebesar 18,1%, rise time sebesar 1150 detik, error steady-state sebesar 0,3, sedangkan untuk pengendali level hotwell didapatkan konstanta Kp = 28,2, Ki = 8,7 dan Kd = 22,8, menghasilkan maximum overshoot sebesar 25,7%, rise time sebesar 1120 detik dan error steady-state sebesar 0,07. Hasil optimasi algoritma genetika untuk PID pengendalian level deaerator, didapatkan konstanta Kp = 97,3, Ki = 15,6 dan Kd = 63,1 dengan fitness overshoot sebesar 2,1%, rise time sebesar 1190 detik dan error steady-state sebesar 0,01 untuk PID pengendalian level deaerator. Sedangkan untuk PID pengendalian level hotwell didapatkan konstanta Kp = 94,2 ; Ki = 20,7 dan Kd = 71,5 dengan maximum overshoot sebesar 1,6%, rise time sebesar 1218 detik dan error steady-state sebesar 0,001. Penalaan PID dengan algoritma genetika menghasilkan overshoot dan setling time yang lebih cepat dibandingkan dengan metode osilasi Ziegler-Nichols, akan tetapi memiliki rise time yang lebih lambat. Untuk error steady-state kedua metode tersebut menghasilkan nilai <1% sehingga memenuhi syarat untuk pengontrolan sistem yang baik.
Analisis Metode Ekstraksi Fitur Dalam Sistem Pengenalan Wajah Menggunakan Masker
Authors: Hakiki Hasbi
Published: February 2022

Wabah coronavirus disease 19 atau covid-19 menyerang diberbagai belahan dunia. Yang mana pencegahannya adalah dengan mencuci tangan dan memakai masker. Memakai masker adalah salah satu halangan ketika seseorang akan membuka kunci layar smartphone atau bahkan fitur absensi karyawan, yang mana ini menggunakan teknologi face recognition. Sehingga, sistem absensi atau kunci layar kesulitan untuk mengenali wajah manusia tersebut ketika memakai masker. Dua dari metode yang dipakai ialah Principal Component Analysis (PCA) dan Linear Discriminant Analysis (LDA). Berdasarkan hasil percobaan pada sistem yang telah dibuat, informasi berupa hasil pengenalan gambar wajah yang diproses dari metode Principal Component Analysis mempunyai persentase rata-rata sebesar 91,3% untuk mengenali wajah manusia dengan menggunakan masker, sedangkan metode Linear discriminant Analysis mempunyai persentase rata-rata sebesar 20,67% untuk mengenali wajah manusia dengan menggunakan masker. Kemudian dengan metode pre-processing Gaussian Smoothing Filter dan metode PCA mempunyai persentase rata-rata sebesar 92,67% dan dengan metode LDA mempunyai persentase rata-rata sebesar 25,33%. Dari hasil persentase matematis, dapat disimpulkan bahwa metode Principal Component Analysis lebih unggul dalam mengenali wajah dengan memakai masker dibandingkan metode Linear discriminant Analysis baik dengan menggunakan metode pra-processing ataupun tidak menggunakan metode pra-processing
Analisa Inverse Kinematics Pada Prototype 3-DoF Arm Robot Dengan Metode Anfis
Authors: Sulaeman Indra , Dani Akhmad Wahyu , Pangaribowo Triyanto
Published: February 2022

Perkembangan teknologi yang sudah semakin maju memberi dampak pada perkembangan sistem kendali lengan robot. Sistem kendali lengan robot yang digunakan bermacam-macam. Beberapa teknik yang umum digunakan adalah metode forward kinematics dan inverse kinematics. Namun, metode inverse kinematics memiliki kompleksitas yang tinggi karena diperlukan perhitungan fungsi turunan dari forward kinematics. Metode terbaru yang saat ini dapat digunakan yaitu metode Adaptive Neuro Fuzzy Inference System (ANFIS). Pada umumnya ANFIS dilakukan untuk memprediksi data keluaran berdasarkan pelatihan hubungan data masukan dan data keluaran yang dimuat dalam dataset. Penerapan metode ANFIS yang dilakukan pada penelitian ini sebagai solusi inverse kinematics untuk mengurangi kompleksitas dari metode tersebut. Berdasarkan hasil pengujian yang dilakukan bahwa RMSE pada inverse kinematics bernilai 25.36137736 sedangkan RMSE pada metode ANFIS bernilai 42.18690271. Meskipun nilai error yang dihasilkan dari metode ANFIS cukup besar akibat beberapa faktor error yang mempengaruhinya, metode ANFIS ini terbukti dapat digunakan untuk kontrol lengan robot 3-DOF.
Benchmarking In Microcontroller Development Board Power Consumption For Low Power Iot Wsn Application
Authors: Hakim Galang Persada Nurani , Hajar Muhammad Hafizd Ibnu , Firdausi Ahmad , Ramadhan Eko
Published: February 2022

One of the advantages of Wireless Sensor Network would be its ability to reduce cost of communication system using node to node communication. However Wireless Sensor Network also had a disadvantage which is has limited energy which is include this as low power application. This small energy capacity has limit WSN node capability to operate for a long time. In this paper, we compare power consumption for 3 popular microcontroller development platforms that use for fast development and prototyping Wireless Sensor Network node. The power consumption was including active mode (using most energy) and deep sleep mode (using least energy) operation. From benchmarking we can see that lolin ESP32 as a microcontroller development platform has the most efficient in power consumption which is only 40 mA in active and 0.05 in deep sleep mode, compare with arduino pro mini 8 mA in active and 0.3 mA in deep sleep mode, and wemos D1 mini 74 mA in active and 0.13 mA in deep sleep mode. This low power consumption in deep sleep mode has resulting in longer operational time which is almost 48 Month for lolin ESP32
Rancang Bangun Fall Detector System Untuk Pasien Stroke Dengan Metode Wsn (Wireless Sensor Network)
Authors: Poernomo Cak Fangky , Adriansyah Andi
Published: February 2022

Pasien pasca stroke rentan untuk terjatuh karena kehilangan keseimbangan dalam tubuh. Upaya mengurangi kejadian pasien jatuh banyak rumah sakit telah melakukan pencegahan jatuh seperti, pendidikan pada pasien, pemberian tanda beresiko pada bed pasien dan pelatihan pada para staf merupakan intervensi yang paling efektif untuk mengurangi kejadian pasien jatuh. Oleh karena itu penelitian ini akan membahas pengembangan sistem pendeteksi pasien jatuh dengan sensor MPU 6050 menggunakan komunikasi nirkabel Wi-Fi dan mengirimkan notifikasi melalui aplikasi telegram yang dapat diakses orang terdekat atau anggota keluarganya lebih dari 1 pengguna untuk segera dilakukan penanganan. Penelitian ini bertujuan untuk mengembangkan perangkat pendeteksi jatuh dengan kontroler NodeMCU ESP82666 selanjutkan akan dikirim notifikasi melalui Telegram.  Hasil penelitian ini perangkat dapat mendeteksi Pasien pasca Stroke yang rentang jatuh ketika tidur, berjalan dan duduk, muncul notifikasi pada Bot Telegram yang sudah dibuat yang dibuat dapat diakses oleh siapapun sehingga tidak membatasi pengawas atau kerabat dekat pasien
Perancangan Sistem Pengisian pada Alat Pembuat Kopi Otomatis Menggunakan PLC OMRON CP1E
Authors: Rosyady Phisca Aditya , Indriyanto Barru
Published: February 2022

Perkembangan teknologi semakin hari semakin meningkat kemajuannya, dengan kemajuan teknologi membuat banyak orang berfikir untuk membuat suatu hal yang baru yang dapat dikendalikan secara otomatis. Maka dari itu di buat nya system pengisian pada alat pembuat kopi otomatis yang menggunakan PLC (Programmable Logic Controller). PLC yang akan digunakan pada penelitian ini yaitu PLC Omron CP1E NA20DR-A yang diprogram menggunakan Cx-Programmer yang berbentuk leader diagram programnya. sistem pengisian gelas pada alat pembuat kopi otomatis ini terdapat beberapa proses yang nantinya saling berhubungan untuk membentuk suatu sistem pengisian pada alat pembuat kopi otomatis, yang pertama terdapat input procces, dan yang kedua terdapat output procces. Pada pemrosesan Input terdapat beberapa komponen pembantu seperti sensor float switch dan Push Button (PB). Push Button disini digunakan sebagai tombol start, reset, dan stop dan untuk outputnya terdiri dari pompa 5V, Motor Dc, Water Pump 12V, Relay. Sistem ini menggunakan sistem Time Base yang berarti yaitu pada setiap pemroses pengisiannya yang akan diuji sampai pas dengan ketentuan gelas 220 ml. sebegaimana penelitian ini dilakukan dapat diketahui suatu proses pengisian yang menggunakan waktu 60 detik disetiap prosesnya, seperti pada proses pengisian dari tabung pemanas menuju tabung pengaduk, dan tabung pengaduk menuju gelas. Waktu 60 detik digunakan karena waktu 60 detik sudah dapat menghasilkan cairan yang diinginkan yaitu 220ml.
Implementasi Metode Logika Fuzzy Sugeno Pada Prototipe Robot Pemadam Api Dengan Kemampuan Navigasi
Authors: Shema Dessy Iztamia
Published: February 2022

Robot pemadam api merupakan robot yang mempunyai misi untuk melakukan salah satu tugas manusia yang berbahaya, yaitu tugas pemadam kebakaran. Ia memiliki tujuan untuk mencari dan memadamkan api secara otomatis di dalam sebuah arena sebagai simulasi dari sebuah bangunan. Dengan menggunakan robot ini, diharapkan pekerjaan tersebut dapat dilakukan tanpa mengancam nyawa petugas pemadam kebakaran. Untuk membangun prototipe robot pemadam api otomatis, diperlukan sistem navigasi yang handal agar robot dapat mencari dan mencapai titik api dengan cepat dan tepat. Pada jurnal ini dibahas sebuah prototipe robot pemadam api dengan algoritma pengikut dinding menggunakan pengendali logika fuzzy. Metode logika fuzzy digunakan sebagai pengendali kecepatan motor untuk navigasi robot saat menelusuri dinding sebelah kiri arena, mencapai target api, serta kembali ke home dengan masukan berupa jarak robot terhadap objek di sekitarnya. Jarak ini didapat dari penginderaan dua sensor ultrasonik yang dipasang di sebelah kiri dan serong kiri robot. Sistem diuji coba dengan menjalankan robot pada sebuah arena dimana terdapat dua buah lilin sebagai target api dan satu buah home. Setelah sistem dievaluasi, robot berhasil dibangun dan memenuhi tujuan yang ingin dicapai, yaitu robot dapat melakukan navigasi tanpa menabrak dinding, mendeteksi api, dan berhenti di home dengan persentase keberhasilan 100%, serta mampu memadamkan api dengan tingkat keberhasilan 65%.
An impact of minimum wage rising on firm-specific factors: The case of the emerging economy
Authors: Basyith Abdul , Fauzi Fitriya , Zainal Rabin Ibnu
Published: February 2022

This study examines how the minimum wage raises in Indonesia affect firm-specific factors such as sales growth, return on assets, return on equity, net profit margin, and gross profit margin. The samples used in this study were 135 companies for 12 years’ financial statements ranging from 2008 to 2019, with 1620 observations. An ordinary least square and multivariate analysis of variance are employed. The MANOVA result shows differences in firms specific factors among industries’ types. Meanwhile, sales growth and wage growth showed no difference in the value of sales growth and wage growth between industry types. The regression results show that 1) minimum wage has a positive effect on wage growth, but the non-significant effect on sales growth; 2) economic growth has a negative but non-significant effect on sales growth and wage growth, and 3) only total assets and wage growth variables have a positive and significant effect on gross profit margin. Bodnár et al. (2018) asserted that the negative effect of an increase in minimum wage could be lowered by cutting in non-labor costs, rising in product prices, and improving productivity; however, this study found that the increase in the minimum wage does not spur employees to be more productive because the number of companies that get positive sales growth decreases in the declining economic conditions (Acar, Bossavie, & Makovec, 2019; Luca & Luca, 2019; Che Ahmat, Kim, & Arendt, 2021; Alexandre, Bação, Cerejeira, Costa, & Portela, 2022) in which it might increase the firms’ exit rate
The associated risk factors for the diagnosis of asthma in the preschool age children followed up with chronic non-specific cough
Authors: Kaplan Fatih , Topal Erdem
Published: February 2022

Background: Chronic nonspecific cough is one of the important reasons
for doctor visits in childhood. The aim of this study is to determine
the incidence of asthma diagnosis in preschool children followed up with
the diagnosis of chronic non-specific cough and the factors associated
with the diagnosis of asthma. Methods: The files of preschool children
who were followed up with the diagnosis of chronic non-specific cough
were retrospectively reviewed. Information such as demographic data of
the patients, treatments given for chronic non-specific cough, cough
scores during the follow-up etc. was recorded from the medical files.
The patients who were diagnosed with asthma during the follow-up were
included in the Group 1, and the other patients were included in the
Group 2. Results: A total of 226 patients were enrolled in the study. Of
the patients with the mean age of 4 years (min:1-max:6), 102 (45.1%)
were female. The median follow-up time of the patients was 30 months
(min:30-max:34). No significant difference was found between the two
groups in terms of age, sex and follow-up time. During the follow-up,
137 patients (60.6%) were diagnosed with asthma. In our study, the
asthma-associated factors in follow up were determined to be parental
asthma, sibling asthma, aeroallergen sensitivity, elevated total serum
IgE, eosinophilia and low-income level. Conclusions: More than half of
preschool age children with chronic nonspecific cough receive the
diagnosis of asthma. Therefore, patients with risk factors such as
parental asthma, sibling asthma, aeroallergen sensitivity, elevated
serum total IgE, eosinophilia and low-income level should be followed up
for asthma.
Simultaneous reconstruction of sources and scatterers in a three-dimensional stratified ocean waveguide
Authors: Liu Keji , XU Dinghua
Published: February 2022

In this work, we extend the direct method in [26] to identify the
marine sources and scatterers simultaneously from the far-field pattern
in a stratified ocean waveguide. The proposed approach is essentially
direct and does not involve any optimizations, solution procedures or
matrix inversions, thus computationally rather efficient and simple.
Some numerical simulations are carried out to exhibit the robustness and
effectiveness of the proposed method in the reconstruction procedure.
The extended direct method can not only identify the sources in
different locations but also can reconstruct the scatterers in different
shapes and positions, therefore it can be considered as an efficient
numerical approach for providing reliable estimates of the marine
inhomogeneities in the marine acoustics.
Contemporary outcomes of Rheumatic mitral valve surgery in the Mid-Atlantic region
Authors: Ozisik Kanat
Published: February 2022

Rheumatic mitral valve disease is now rare in high income countries,
except for migrant and older residents, it remains an important and
ongoing cause of preventable heart disease in Indigenous populations.
Despite our major advances in medical technology and understanding,
rheumatic fever remains a serious public health problem throughout the
world.
Mitral valvuloplasty with the interatrial groove-left atrial dome approach in a patient with Marfan syndrome
Authors: Chen Fengjie , Wang Xiang , Zhuang Xianmian , Guo Hongwei
Published: February 2022

We report a case of a patient with Marfan syndrome who underwent the
David operation and mitral valvuloplasty. The patient had a small left
atrium, so we severed the superior vena cava and opened the interatrial
groove and left atrial dome. This method allows for excellent exposure
of the mitral valve and subvalvular apparatus, enabling a successful
operation. The interatrial groove-left atrial dome approach provides an
option for patients with a small left atrium undergoing mitral valve
surgery.
Evidence-Based Surgical Guidelines for Treating Children with Wilms Tumor in Low-Resource Settings
Authors: Abdelhafeez Abdelhafeez , Reljic Tea , Kumar Ambuj , Banu Tahmina , Cox Sharon , Davidoff Andrew , Elgendy Ahmed , Ghandour Khalil , Gerstle Justin , Karpelowsky Jonathan , Kaste Sue , Kechiche Nahla , Esiashvili Natia , Nasir Abdulrasheed , Ngongola Amon , Marollano Jin , Moreno Amabelle , Muzira Arlene , Parkes Jeannette , Saldaña Lily , Shalkow-Klincovstein Jaime , Vujanic Gordan , Velasquez Thelma , Lakoo Kokila , Mukkada Sheena , Abib Simone
Published: February 2022

Survival of Wilms tumor (WT) is >90% in high-resource
settings but <30% in low-resource settings. Adapting a
standardized surgical approach to WT is challenging in low-resource
settings, but a local control strategy is crucial to improving outcomes.
Objective: Provide resource-sensitive recommendations for the surgical
management of WT. Methods: We performed a systematic review of PubMed
and EMBASE through July 7, 2020, and used the GRADE approach to assess
evidence and recommendations. Recommendations: Initiation of treatment
should be expedited, and surgery should be done in a high-volume
setting. Cross-sectional imaging should be done to optimize preoperative
planning. For patients with typical clinical features of WT, biopsy
should not be done before chemotherapy, and neoadjuvant chemotherapy
should precede surgical resection. Also, resection should include a
large transperitoneal laparotomy, adequate lymph node sampling, and
documentation of staging findings. For WT with tumor thrombus in the
inferior vena cava, neoadjuvant chemotherapy should be given before en
bloc resection of the tumor and thrombus and evaluation for viable tumor
thrombus. For those with bilateral WT, neoadjuvant chemotherapy should
be given for 6–12 weeks. Neither routine use of complex hilar control
techniques during nephron-sparing surgery, nor nephron-sparing resection
for unilateral WT with a normal contralateral kidney is recommended.
When indicated, postoperative radiotherapy should be administered within
14 days of surgery. Post-chemotherapy pulmonary oligometastasis should
be resected when feasible, if local protocols allow omission of
whole-lung irradiation in patients with non-anaplastic histology stage
IV WT with pulmonary metastasis. Conclusion: We provide evidence-based
recommendations for the surgical management of WT, considering the
benefits/risks associated with limited-resource settings.
Near Infrared Technology in Agricultural Sustainability: Rapid Prediction of Nitrogen Content from Organic Fertilizer
Authors: Devianti Devianti , Sufardi Sufardi , Mustaqimah Mustaqimah , Munawar Agus Arip
Published: February 2022

Presented study employs the near infrared reflectance (NIRS) as a rapid and effective sensing technology in detecting and determining quality parameter of organic fertilizer in form of nitrogen content (N). a total of 10 organic fertilizers were used as samples made from agricultural waste. Near infrared spectra data were acquired and measured as absorbance for all samples in wavenumbers range 5,000 – 11,000 cm-1. On the other hand, actual N content was measured by means of standard laboratory procedures. Spectra data were corrected using de-trending second order (DT-2), standard normal variate (SNV) and combination of them (SNV+DT). Moreover, prediction models for N content determination were developed using principal component regression (PCR) followed by leverage cross validation. The results showed that N content can be predicted rapidly without involving chemical materials with maximum coefficient of determination are 0.98 for calibration and 0.95 for validation phase respectively. It may conclude that sensing technology based on NIRS can be applied as a rapid and effective method for N determination of organic fertilizers.
Territorial Competitiveness for Smart Business Development in Pieriga Region = Teritorijas konkurētspēja viedās uzņēmējdarbības attīstībai Pierīgas reģionā
Authors:   ,   Latvia University of Life Sciences and Technologies, Azena Ligita
Published: February 2022

The author of the thesis: Mg.sc. soc. Ligita Āzena. The title of the thesis: The competitiveness of the area for smart business development in Pieriga region. The hypothesis of the thesis: The competitiveness of the area contributes to the development of smart business in Pieriga region. The aim of the thesis: Assess the importance of the area's competitiveness for the development of smart business and develop possible solutions to boost competitiveness for the development of smart business in Pieriga region. To achieve the aim, the following tasks are set: 1. collect theoretical guidelines on spatial development and competitiveness criteria, the needs of target market groups, the nature of smart business and European experience; 2. examine the guidelines for business development policy of Latvia, regions and local governments - regulatory enactments, development planning documents of Latvia and Pieriga region; 3. analyse the competitiveness and smart economic performance of the area, provide possible solutions to boost competitiveness for the development of smart business in Pieriga region. In order to achieve the promotion objective, the following structure was established: introduction, 3 study chapters, conclusions and proposals, a list of sources of the literature used. The first chapter carried out a study of the competitiveness of area, compiled the methods for mobilising the main area target market group (population and business) and described the indicators of smart business. The second chapter explores the guidelines for regional business development policy - regulatory enactments, Latvian development planning documents and the development documents of Pieriga region regarding increasing the competitiveness of the territory and the development of smart business. The third chapter studies and identify the competitiveness performance of the area and summarises research data on the development of the smart economy and smart business, develops a competitiveness assessment matrix and recommendations for improving the competitiveness of smart business development in Pieriga region. The work concludes with the main conclusions, the main results of the study and the development of proposals to boost the competitiveness of region. Volume of promotion work for the economic doctorate (Ph.D.) there are 156 pages for obtaining a degree. The work includes 33 tables, 40 images, 6 attachments, 169 sources of information, including 71 sources in English.
Opial-type inequalities for superquadratic functions
Authors: Farid Ghulam , Bibi Ayesha , Nazeer Waqas
Published: February 2022

In this paper we prove new Opial-type inequalities for arbitrary kernels
using superquadratic functions, also their extensions are obtained.
Furthermore, we find their fractional versions by applying different kinds of
fractional integral and fractional derivative operators.
Positive solutions for some asymptotically linear and superlinear weighted problems
Authors: Dammak Makkia , Zahed Hanadi , Jerbi Chahira
Published: February 2022

In this paper, we study the following nonlinear elliptic problem -div(a(x) ?u) = f (x,u), x ? ? u ? H10(?) (P) where ? is a regular bounded domain in RN, N ? 2, a(x) a bounded positive function and the nonlinear reaction source is strongly asymptotically linear in the following sense lim t?+? f(x,t)/t = q(x) uniformly in x ? ?. We use a variant version of Mountain Pass Theorem to prove that the problem (P) has a positive solution for a large class of f (x,t) and q(x). Here, the existence of solution is proved without use neither the Ambrosetti-Rabionowitz condition nor one of its refinements. As a second result, we use the same techniques to prove the existence of solutions when f (x,t) is superlinear and subcritical on t at infinity.
Warped product pointwise hemi-slant submanifolds of a Para-Kaehler manifold
Authors: Gündüzalp Yılmaz
Published: February 2022

In this paper, we introduce pointwise hemi-slant submanifolds of para-Kaehler manifolds. Using this notion, we investigate the geometry of warped product pointwise hemi-slant submanifolds. We provide some non-trivial examples of such submanifolds.
Knee Myofascial Pain and Knee-Abdomen Syndromes; A Newly Identified Knee Disorders, Commonly Misdiagnosed as Arthritis, Multiple Case Study
Authors: Mohamed Ibrahim Tobba , Kandil Olfat A
Published: February 2022

Background: Knee osteoarthritis is a common orthopedic condition. Imaging based pathoanatomical findings are utilized as a cornerstone for diagnosis of the condition, 97% of asymptomatic knees demonstrate pathoanatomical findings, causing doubt of diagnosis and efficiency of intervention based on asymptomatically present pathoanatomical features. Purpose: This study explores myofascial dysfunctions as an alternative explanation to knee pain. Identifying new syndromes termed as knee myofascial pain and knee-abdomen syndromes. Therapeutic intervention: Describing 3 cases of knee osteoarthritis and one case of rheumatoid arthritis treated to full recovery as myofascial dysfunction. All of these cases were investigated and treated to complete recovery from specific myofascial continuity known as deep front line dysfunction, as a cause of knee pain. Results: Both syndromes demonstrated 50% to 100% pain reduction after one session of myofascial release, with no recurrence over long-term follow-up after discharge. Conclusion: Knee myofascial pain and knee-abdomen syndromes are clinically present commonly misdiagnosed as arthritic changes. Myofascial release produced an immediate major pain reduction ranging from 50 to 100%. High quality research is required to identify more accurate diagnostic criteria and consequently best treatment strategies.
Safety of Reversing Air Flow in the Ventilation Shafts of the Mines in the Cold Season in the Absence of Heating
Authors:   Mining Institute of the Ural Branch of the Russian Academy of Sciences, Kormshchikov D.S. , Kuzminykh E.G. ,   Mining Institute of the Ural Branch of the Russian Academy of Sciences, Semin M.A. ,   Mining Institute of the Ural Branch of the Russian Academy of Sciences
Published: February 2022

Modern mining enterprises engaged in development of the minerals are located in the regions of different conditions including in the regions of the Far North. For reducing the capital and operating costs, the management of these enterprises strives to optimize the technological processes for the raw materials extraction. These processes include ventilation of the underground mines. One of the ways to reduce capital costs in the mines with a flanking ventilation system is not to use the air heaters on the ventilation shafts due to their remoteness from the main industrial site of the mine and air supply shafts. In emergency conditions, when it is required to reverse the ventilation stream, the situations may arise when cold air starts flowing into the underground workings of the mine. The effect of negative temperatures of the air stream during reversal can have negative consequences associated with disruption of the operation of technological equipment, support of the ventilation shafts, and, also, affect the well-being and health of the miners during their evacuation. In this regard, it is required to conduct research on the thermophysical processes arising from the reversal of the ventilation stream, and to develop the appropriate preventive measures. The results of a study of the reverse mode of the mine ventilation in cold season in the absence of heating of the air stream entering the ventilation shaft are presented. Mathematical modeling was performed concerning change in the air temperature in the mine workings during reversal using AeroSet program. The main hazardous factors affecting the reversal of the air stream are highlighted, and the required measures are proposed aimed at compensating the negative consequences of the effect of cold air on the support and equipment in the shaft during ventilation.
On the Mechanism of Thermal Decomposition of D-cycloserine and Terizidone
Authors:   Mendeleev University of Chemical Technology of Russia, Vasin A.Ya. , Khyng Do Tkhan ,   Mendeleev University of Chemical Technology of Russia, Akinin N.I. ,   Mendeleev University of Chemical Technology of Russia, Gadzhiev G.G. ,   Mendeleev University of Chemical Technology of Russia, Shushpanov A.N. ,   Mendeleev University of Chemical Technology of Russia
Published: February 2022

The article studies the mechanism of thermal decomposition of two drugs from the group of isoxazolidines D-cycloserine, and terizidone, potentially exposed to the action of elevated temperatures in production (preparation and drying stages). As a result of series of the analytical experiments on the study of solid products of samples thermal decomposition by IR spectroscopy, including with the participation of a comparative sample (more thermally stable nootropic drug fonturacetam), it was established that the antibiotics D-cycloserine and terizidone containing in their molecular formula a five-membered heterocycle with the [–C–O–N–] group (absorption band in the area of 1461 cm–1) have low thermal stability associated with the ease of breaking N–O bond. It is noted that at the maximum degrees of decay, the specified absorption band weakened until it completely disappeared. The obtained results on thermal decomposition, apparently, can be interpolated to all the substances having specified heterocycle in the structure, which is explosiphoric. Before launching into production, when modeling substances with the specified pharmacological properties, it is required, if possible, to avoid structures with a similar heterocycle with a choice of more heat-resistant analogues that are not inferior in efficiency. Such solutions to reduce fire hazard at the stage of development of technological processes seem to be the most efficient. The study results confirming the propensity of the studied compounds to thermal decomposition at relatively low temperatures contributed to the creation of a safe technological process, storage and transportation conditions at the place of production of FGUP «GNTs «NIOPIK».
Influence of Ambient Temperature on the Incubation Period, and the Tendency of Coal to Ignite Spontaneously
Authors:   T.F. Gorbachev Kuzbass State Technical University, Portola V.A. , Bobrovnikova A.A. ,   T.F. Gorbachev Kuzbass State Technical University, Protasov S.I. ,   Innovative firm «KUZBASS-NIIOGR»
Published: February 2022

Crushing coal during mining significantly increases the contact area of combustible components with atmospheric oxygen. The heat released during coal oxidation can lead to an increase in the temperature of the coal accumulation and the appearance of places of spontaneous combustion. For the timely prevention of endogenous fires, it is required to know the incubation period of spontaneous combustion, which is necessary for the coal accumulation to reach the critical temperature. Based on this parameter, the category of coal propensity to spontaneous combustion is established, and measures are developed to reduce the endogenous fire hazard. The known method for estimating the incubation period does not sufficiently consider the influence of the environmental parameters on coal heating. The discrepancy between the calculated and actual duration is observed for coal at a negative temperature, for example, in the mines, and the open-casts in the permafrost areas, as well as in the warehouses in winter on a significantly large territory of Russia. Studies showed that a decrease in temperature significantly reduces the rate constant of oxygen sorption by the coal, and the release of heat in the coal accumulation. The process of spontaneous combustion of coal also slows down due to additional heat losses for the phase transition of water from solid to liquid state. For improving the accuracy of calculating the incubation period of spontaneous combustion of coal at negative temperatures, it is proposed to consider the specific heat of melting ice, and to determine the oxygen sorption rate constant at a constant temperature from –10 to –20 ° C. The influence of negative temperatures of coal accumulation increases the incubation period of spontaneous combustion of coal by 2–3 times allowing to reduce the cost of measures to prevent endogenous fires.