bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGONTROL SUHU, KELEMBABAN TANAH DAN INTESITAS CAHAYA PADA PROTOTYPE SMART GREENHOUSE
Authors: Megantara Pradipta , Triwiyatno Aris , Afrisal Hadha 
Published: July 2022

Konsep greenhouse dapat dianggap sebagai solusi optimal untuk produktivitas hasil panen dengan efektivitas dan efesiensi dalam aspek ekonomi dan usaha. Beberapa faktor yang harus dikontrol adalah suhu, kelembaban tanah, dan intensitas cahaya. Agar mendapatkan lingkungan yang baik, diperlukan suatu sistem pengontrolan pada ruangan tersebut dengan otomatis. Dalam penelitian ini dilakukan pengontrolan suhu dengan menggunakan kontroller Proportional Integral Derivative (PID), pengontrolan intensitas cahaya dengan metode kontrol Proporsional Integral (PI), pengontrolan kelembaban tanah dengan metode kontrol on-off. Kontroller PID dan PI digunakan untuk mencapai dan mempertahankan nilai referensi parameter dengan cara mengoreksi error dan kontrol on-off digunakan untuk mencapai nilai referensi parameter yang sudah ditentukan . Dengan menggunakan mikrokontroler ATMega 2560, sinyal kontrol akan diteruskan ke driver untuk mengontrol aktuator suhu, intensitas cahaya dam kelembaban tanah. Pada Kontrol PID nilai Kp 267.04, nilai Ki 20.7, dan nilai Kd 861.23 yang didapatkan dengan menggunakan tuning Ziegler Nichols metode FOPDT sementara pada kontrol PI nilai Kp 0.00041, Ki 0.000075 yang didapatkan dengan menggunakan tuning Ziegler Nichols dengan Metode FOPDT. Dari hasil pengujian pengontrolan suhu menggunakan metode PID memiliki error steady state rata – rata sebesar 1.52% dan nilai overshoot 75%.. Kontroler PI memiliki error steady state rata – rata sebesar 2.26% dan nilai overshoot 0.02%. Kontroller on-off memiliki error steady state rata-rata sebesar 13.72% dan nilai overshoot 570%.
OBSERVASI AKTIVITAS PENGUNJUNG LANDMARK MENGGUNAKAN ANALISIS DATAFRAME
Authors: Pratama Willi Yossi , Sofwan Aghus , Adi Soetrisno Yosua Alvin 
Published: July 2022

Perkembangan penggunaan smartphone yang menggunakan internet dan fitur Global Positioning System (GPS) telah merubah cara manusia dalam berinteraksi. Terdapat banyak aplikasi smartphone yang menggunakan fitur GPS dalam pencarian lokasi suatu tempat ataupun transportasi online. Data geolokasi pengguna smartphone yang dikumpulkan kemudian dapat dianalisis dengan metode analisis dataframe menggunakan Jupyter Notebook dan bahasa pemrograman python sehingga didapatkan berbagai informasi. Pada penelitian ini dilakukan observasi dari data geolokasi pengguna untuk mengetahui aktivitas dan mobilitas para pengguna selama periode 21 juli 2020 sampai dengan 14 september 2020. Aktivitas yang diobservasi yaitu landmark atau tempat yang paling sering dikunjungi, tingkat keaktifan pengunjung, waktu aktif pengunjung dan persebaran titik kunjungan pada peta wilayah Semarang. Dari hasil analisis dataframe yang dilakukan telah didapatkan hasil analisis mengenai landmark yang paling sering dikunjungi yaitu warung makan Markoni Cak Eco sebanyak 22 kunjungan atau sekitar 20% dari total keseluruhan. Pengunjung dengan tingkat mobilitas yang paling tinggi yaitu Angger dengan jumlah kunjungan sebanyak 628 atau sekitar 20,4% dibandingkan dengan pengunjung lainnya, Waktu aktif pengunjung tertinggi pada malam hari sebanyak 1072 kunjungan atau sekitar 35% dari total keseluruhan, dan persebaran landmark untuk wilayah semarang yang sering dikunjungi tersebar disekitar Kelurahan Tembalang, Srondol Wetan, Srondol Kulon, dan Kramas.
PENERAPAN METODE CONVOLUTIONAL NEURAL NETWORK (CNN) DAN LONG SHORT TERM MEMORY (LSTM) UNTUK PENGENALAN AKTIVITAS MANUSIA PADA CCTV DI AREA TAMBAK UDANG
Authors: Zulfikar Muhammad Aghassi , Somantri Maman , Sudjadi Sudjadi 
Published: July 2022

Udang vaname merupakan komoditas perikanan yang prospek dan profitnya yang sangat menjanjikan. Udang Vaname mulai masuk ke Indonesia pada tahun 2001. Menurut data dari GOAL 2019, nilai produksi udang vaname di Indonesia mencapai angka 400.000 ton per tahunnya dan luas tambak udang vaname di Indonesia sekitar 26.000 ha. Namun dari luasnya tambak yang ada di Indonesia ada potensi dimana tenaga manusia sulit untuk mengontrol kondisi tambak terutama pada saat malam hari tiba. Terkadang kejahatan yang dilakukan manusia tak dapat dihindari contoh saja seperti pencurian udang disaat masa panen hampir tiba. Penggunaan sistem kamera CCTV (Closed-Circuit Television) dapat menjadi alternatif sistem untuk membantu memantau kondisi pada area tertentu. Namun, pengunaan CCTV masih berfungsi sebagai sistem pemantauan pasif saja yang datanya hanya berupa video yang dapat di rekam ulang saja nantinya. Dengan perkembangan teknologi saat ini sebuah objek seperti manusia dapat dikenali dan di track menggunakan program pengenalan objek serta tracking yang ditanamkan pada sebuah server dan diberi masukan menggunakan hasil video CCTV. Sebelum melakukan proses pengenalan aktivitas, sistem terlebih dahulu melakukan proses deteksi dan tracking manusia setelah itu hasil dari deteksi di proses menggunakan metode CNN dan LSTM. Hasil keluaran dari pengenalan aktivitas berupa label kelas pada objek yang ter-track.
PERANCANGAN ANTARMUKA SISTEM PENDETEKSI UANG KERTAS RUPIAH BAGI PENYANDANG LOW VISION BERBASIS ANDROID
Authors: Hikmah Umi Nur , Santoso Imam , Soetrisno Yosua Alvin Adi 
Published: July 2022

User interface merupakan elemen android visual dari suatu aplikasi. User interface ini menggabungkan konsep desain visual dan desain interaksi yang bertujuan untuk memudahkan pengguna dalam menjalankan aplikasi. User interface text-to-speech merupakan salah satu cara berintraksi dengan memberikan perintah yang berasal dari suara dan dapat membantu pengguna yang memiliki keterbatasan untuk mengaplikasikan. Pengguna low vision membutuhkan fitur yang bisa membantu navigasi untuk mengakses aplikasi. Fitur yang digunakan pada perancangan ini adalah menggunakan teknologi text-to-speech dan fitur tap screen yang memudahkan pengguna untuk scanning uang dan mendapatkan nominal dengan suara. Hasil dari penelitian ini adalah algoritma deep learning melalui tensorflow lite yang bisa diimplementasikan dan diuji menggunakan pengujian alfa dengan Teknik blackbox untuk mengetahui fungsionalitas program. Pengujian waktu respon aplikasi juga dilakukan untuk mengukur performa aplikasi. Pengujian waktu respon dilakukan pada fitur-fitur pada aplikasi dan waktu respon yang didapat berbeda setiap device hal ini di perngaruhi oleh spesifikasi masing-masing device, kapasitas memory, dan jenis fitur.
PERANCANGAN RANGKAIAN BOOTSTRAP DENGAN IC IR2110 DAN SISTEM INVERTER SATU FASA TOPOLOGI H-BRIDGE BERBASIS IGBT IRG4PC50WD
Authors: Praptomo Maksum Agung , Setiawan Iwan , Denis Denis 
Published: July 2022

Inverters widely applied in the industrial world, one of which is in controlling the speed and torque of the induction motor. The main component of an inverter is usually MOSFET or IGBT. MOSFET has large enough value in the turn-on phase.. The load that has an inductance value, IGBT switching losses will increase. IGBT has losses due to tailing current during fall time. This Final Project research aims design an H-bridge topology inverter using IGBT with SPWM triggering technique based on 16-bit dsPIC30f4011 microcontroller equipped with a bootstrap circuit and aims to regulate motor speed. Inverter testing is done by varying the frequency value, then analyzing efficiency and hamonisa when the inverter is in no-load and load condition. H-bridge type inverter with bootstrap capacitor without filter and using motor filter has been successfully realized. The average efficiency value of the inverter in the no-load condition is 86.07%, while the load condition is 86.8%. When the inverter no load condition, the average voltage THD value is 6.02%, while the average current THD value is 12.56%, The condition is obtained for an average voltage THD value of 9.48% , while the average THD value of 10.9%.
PERANCANGAN SISTEM MONITORING DAN KENDALI DERAJAT KEASAMAN PADA TANAMAN HIDROPONIK SISTEM NUTRIENT FILM TECHNIQUE (NFT) MENGGUNAKAN METODE KONTROL PID
Authors: Simanjuntak Marvin Natanael , Andromeda Trias , Soetrisno Yosua Alvin Adi 
Published: July 2022

Penelitian ini bertujuan merancang sistem monitoring dan pengendalian derajat keasaman tanaman hidroponik menggunakan objek tanaman selada. Sistem kerja alat yaitu monitoring derajat keasaman hidroponik melalui LCD 16x2 dan pengontrolan nilai setpoint yang baik menggunakan cairan buffer pH Up dan Down. Alat ini terdiri dari tiga proses utama, yaitu input, proses dan output. Input menggunakan sensor pH-4502C. Data dari sensor pH-4502C diproses oleh Arduino Uno untuk mengontrol nilai pH menggunakan kontrol PID penalaan Ziegler Nichols dan dikirim ke Driver Motor L298N untuk mengaktifkan pompa motor DC. Output dari alat ini, yaitu monitoring melalui LCD 16x2 dan feedback nilai dari pembacaan sensor. Berdasarkan hasil pengujian didapatkan, tingkat kelayakan implementasi alat ditinjau dari hasil untuk kerja yang diperoleh pada pengujian sensor pH-4502C terdapat rata – rata error sebesar 0.305%. Pengujian kontrol PID yang diterapkan dengan menetapkan error berada di atas setpoint didapatkan nilai error setpoint berada di bawah nilai 0.5%. Pengujian kontrol PID dengan menetapkan error berada di bawah setpoint didapatkan nilai error setpoint berada di bawah nilai 1%. Aktuator menyala sesuai dengan setpoint yang telah ditentukan untuk tanaman selada pada nilai 5.5-6.5 pH. Sistem pengendalian derajat keasaman pada hidroponik ini diharapkan dapat membantu petani dalam perawatan tanaman dan monitoring setiap saat.
OPTIMASI TITIK PELIMPAHAN SEBAGIAN BEBAN FEEDER KTN 11 KE KTN 14 PT. PLN (PERSERO) UNIT PELAKSANA PELAYANAN PELANGGAN (UP3) YOGYAKARTA UNTUK MEMINIMALKAN RUGI DAYA MENGGUNAKAN METODE ALGORITMA GENETIKA
Authors: Wulansari Deninta , Hermawan Hermawan , Darmanto Nugroho Agus 
Published: July 2022

PT. PLN (Persero) UP3 Yogyakarta merupakan Unit Pelaksana Pelayanan Pelanggan yang bertugas mengatur seluruh distribusi energi listrik di wilayah Daerah Istimewa Yogyakarta. Demi menunjang tugas dan fungsi pokok tersebut, PT. PLN (Persero) berusaha melakukan penjaminan kualitas penyaluran energi listrik dengan memperhatikan kemampuan pembebanan tiap feeder. Pada tahun 2018 pembebanan feeder KTN 11 GI Kentungan mencapai hampir 80% sehingga merupakan beban berlebih. Tugas Akhir ini bertujuan untuk melakukan optimasi titik pelimpahan sebagian beban feeder KTN 11 ke KTN 14 dalam rangka meminimalkan rugi daya pada saluran tersebut. Metode yang digunakan dalam penentuan titik optimal pelimpahan sebagian beban adalah metode algoritma genetika dengan menggunakan simulasi software MATLAB R2016a. Untuk mengetahui seberapa besar perubahan rugi daya sebelum dan sesudah dilakukannya pelimpahan sebagian beban, maka dilakukan simulasi menggunakan software ETAP 12.6.0. Hasil yang diperoleh yaitu pelimpahan beban dari feeder KTN 11 (U3-284/76) ke feeder KTN 14 (U3-244/116) mengakibatkan penurunan rugi daya sebesar 11,6% dari kondisi awal.
Does hyperbaric oxygen cause narcosis or hyperexcitability? A quantitative EEG analysis
Authors: Vrijdag Xavier C. E. , van Waart Hanna , Sames Chris , Mitchell Simon J. , Sleigh Jamie W. 
Published: July 2022

AbstractDivers breathe higher partial pressures of oxygen at depth than at the surface. The literature and diving community are divided on whether or not oxygen is narcotic. Conversely, hyperbaric oxygen may induce dose‐dependent cerebral hyperexcitability. This study evaluated whether hyperbaric oxygen causes similar narcotic effects to nitrogen, and investigated oxygen's hyperexcitability effect. Twelve human participants breathed “normobaric” air and 100% oxygen, and “hyperbaric” 100% oxygen at 142 and 284 kPa, while psychometric performance, electroencephalography (EEG), and task load perception were measured. EEG was analyzed with functional connectivity and temporal complexity algorithms. The spatial functional connectivity, estimated using mutual information, was summarized with the global efficiency network measure. Temporal complexity was calculated with a “default‐mode‐network (DMN) complexity” algorithm. Hyperbaric oxygen‐breathing caused no change in EEG global efficiency or in the psychometric test. However, oxygen caused a significant reduction of DMN complexity and a reduction in task load perception. Hyperbaric oxygen did not cause the same changes in EEG global efficiency seen with hyperbaric air, which likely related to a narcotic effect of nitrogen. Hyperbaric oxygen seemed to disturb the time evolution of EEG patterns that could be taken as evidence of early oxygen‐induced cortical hyperexcitability. These findings suggest that hyperbaric oxygen is not narcotic and will help inform divers' decisions on suitable gas mixtures.
Multimodal or multilingual? Native English teachers’ engagement with translanguaging in Hong Kong TESOL classrooms
Authors: Jiang Lianjiang , Gu Michelle Mingyue , Fang Fan 
Published: July 2022

Abstract
Although the potential of translanguaging within ESL/EFL classroom contexts to promote students’ linguistic learning has been well-documented, most studies have focused on ESL/EFL teachers (whose L1 is not English) and their students’ ideologies and experiences, with little attention paid to the experiences and perspectives of native English teachers (NETs) working in the Global South and postcolonial areas. This study examined 11 native English teachers’ engagement with translanguaging in Hong Kong TESOL classrooms. Data were gathered through in-depth semi-structured individual interviews and video recordings of classroom interactions. A recursive qualitative analysis elicited a taxonomy of NET teachers’ engagement with translanguaging, comprising resistant, ambivalent, and reductionistic approaches. The findings also demonstrate that ambivalent engagement with translanguaging turned out to be adopted the most among the NET participants. The findings call for examining two new translanguaging forms through NET teachers who have worked under a linguistically policed discourse, i.e., the underground and disguised translanguaging, and multimodal translanguaging without involving students’ L1. The findings indicate that multimodality can be used as a bridge to create a translanguaging space, and that creating a translanguaging space through multimodality appears to be more politically neutral for NET teachers.
Chemical composition and antimicrobial activity of essential oils from Mentha pulegium and Rosmarinus officinalis against multidrug-resistant microbes and their acute toxicity study
Authors: Ez-Zriouli Rabab , El Yacoubi Houda , Imtara Hamada , El-Hessni Aboubaker , Mesfioui Abdelhalim , Tarayrah Mahmoud , Mothana Ramzi A. , Noman Omar Mohammed , Mouhsine Fatine , Rochdi Atmane 
Published: July 2022

Abstract
This article aimed to study the antimicrobial activity, chemical composition, and acute oral toxicity of essential oils (EOs) of Mentha pulegium and Rosmarinus officinalis, two aromatic and medicinal plants widely used in the traditional Moroccan pharmacopeia. The average content of EOs was 3.2 and 2.5% for M. pulegium and R. officinalis, respectively. The chemical characterization showed a richness in some compounds identified by gas chromatography coupled with mass spectrometry (GC/MS): R(+)-Pulegone (45.48%), Menthone (14.2%), Piperitone (8.15%), and Isomenthone (7.18%) in M. pulegium and 1,8-Cineole (46.32%), Camphene (13.4%), and α-Pinene (9.52%) in R. officinalis. These metabolites showed a significant antimicrobial effect against the tested strains (bacteria and yeasts isolated from the hospital environment) compared to synthetic antibiotics that seem to be ineffective against resistant microorganisms. Based on lethal concentration LD50 >5,000 mg/kg (body weight), the oil was found to be marginally safe according to OECD guidelines and can be further explored (bio-product with low risk).
Construction of certain new families related to q-Fubini polynomials
Authors: Khan Subuhi , Haneef Mehnaz , Riyasat Mumtaz 
Published: July 2022

Abstract
Fubini polynomials play an important role in the theory and applications of mathematics. These polynomials appear in combinatorial mathematics, thus attracted an appreciable amount of interest of number theory and combinatorics experts. In this paper, the q-Fubini polynomials are combined with q-Bessel functions in order to introduce q-Fubini–Bessel functions. Certain results for these q-hybrid functions are derived. Their relations with the classical Fubini polynomials and Bessel functions are established and q-Fubini–Bessel polynomials are explored. The graphical representations of q-Fubini polynomials and q-Fubini–Bessel polynomials for particular values of indices and variables are also considered.
The influence of central coke charging mode on the burden surface shape and distribution of a blast furnace
Authors: Di Zhanxia , Huang Mingrong , Zhou Xiaobin , Liu Junhan , Sun Junjie , Wang Ping , Wang Hongtao 
Published: July 2022

Abstract
The burden surface shape and distribution in the shaft directly affect the gas distribution, heat transfer and chemical reactions inside the blast furnace. The current study developed a three-dimensional model of bell-less top charging to investigate the influence of the “central coke charging/sub-central coke charging” (CCC/SCCC) mode on the burden surface shape, burden distribution, and mass percentage of ore-to-coke (O/C). The results showed that the burden height of the region between the middle and edge is low by applying the CCC mode, while there is a heap valley in the center and a heap top in the middle region when the SCCC mode was adopted. In radial direction, the mass percentage of bigger size coke in the middle region is largest for the CCC mode, while the largest of the mass percentage was obtained in the center region by applying the SCCC mode. In longitudinal direction, the mass percentages of bigger coke and ore at the top region are largest for both modes. Besides, the mass percentage of O/C increased and then decreased to zero at the center for both modes. And the maximum of the mass percentage of O/C were 7.63 and 7.38, respectively.
Evaluation of ion transport properties characterizing concentration polarization in membrane-solution system under different factors
Authors: Guo Jiabin , Li Mei , Wang Yiwei , Xiang Zheyu , Li Xiaoliang 
Published: July 2022

Abstract
The ion transport properties across the membrane under conditions of different membrane types, solution concentrations, flow rates and temperatures were investigated in a four-compartment reactor. By combining linear sweep voltammetry and chronopotentiometry, the limiting current density (I
lim), the ion transition time (τ) and the difference between ion transport numbers in the membrane and the solution (t
m–t
s) were determined. And the diffusion boundary layer thickness (δ) of the membrane-solution system at steady-state conditions was measured by electrochemical impedance spectroscopy. The results show that the use of Selemion membrane and the increase of solution concentration, flow rate and temperature, I
lim and τ increase, t
m–t
s and δ decrease. This means the concentration polarization of the system is weaker and complete concentration polarization is more difficult to occur. At the same time, I
lim, τ and t
m–t
s are strongly related to solution concentration and temperature, while the diffusion boundary layer thickness is mainly affected by solution concentration and flow rate. Additionally, I
lim of anion exchange membranes is larger than that of cation exchange membranes due to the difference in migration rates of anion and cation.
Recurrent hypoglycemic seizure as a presenting symptom of post-TBI hypopituitarism in children: a case report, review and proposed protocol
Authors: Aungkawattanapong Nadvadee , Jakchai Ketsuda , Tempark Therdpong , Bongsebandhu-phubhakdi Chansuda 
Published: July 2022

AbstractObjectivesPost-traumatic brain injury hypopituitarism is a common unrecognized condition in children after head injury. Due to its similarity of clinical symptoms with those of head trauma, clinical diagnosis of post-TBI hypopituitarism is challenging. To date, there is no standardized screening protocol for children with history of brain injury. This article demonstrates a case of 14-year-old boy with severe head trauma who developed refractory seizures with episodic hypoglycemia and weight loss. We aimed to focus on the prevalence, clinical courses and clinical implementations of each hormonal axis in children with post-traumatic brain injury hypopituitarism. We also aim to raise awareness of this condition to pediatricians in light of enhancing patient care.MethodsWe have searched for original articles, published in English between year 2000 and 2021. There are 20 related articles, authors reviewed all the articles independently.ResultsPrevalence of post-traumatic hypopituitarism ranges from 5–57% in children. Growth hormone is the most commonly affected hormone. The highest prevalence is 42.3% at more than 12 months after the brain injury. The symptoms and severity range from asymptomatic to requiring long-term hormonal therapy. Although normalization of pituitary function is demonstrated at various times after the injury, hormone replacement therapy is still required in some patients.ConclusionsThis is the first report that demonstrates a presenting symptom of hypopituitarism mimic traumatic brain symptoms which result in it being overlooked. This case emphasizes the need to develop pituitary function screening protocols for children with TBI. We have proposed our pituitary screening protocol for children with TBI in this article.
Online Image and Self-Presentation: A Study on Chinese Rural Female Vloggers
Authors: Li Zhi , Zhu Huijie 
Published: July 2022

Abstract

Purpose
The purpose of this empirical study is to examine how Chinese rural female vloggers present and express themselves online when they are increasingly exposed to the Internet, and to analyze the motivations of their self-expression and whether the media images on the Internet correctly reflect the real life of rural women in China.

Design/methodology/approach
We conducted content analysis and case studies on 30 rural female vloggers and 2580 videos selected from Xi Gua Video, one of the most popular video platforms in China. The English name of Xi Gua Video is Watermelon Video. It belongs to the same company as Douyin(the Chinese version of Tik Tok) and has a large number of creators. There is a Rural category in Xi Gua Video which shows its importance to the video platform.

Findings
Married women are the mainstay of rural female vloggers, and they tend to use unique username settings. Among different avatars, a confident smile is the mainstream. The themes of the videos mainly center on rural family life. Based on the analysis of the video themes, we speculated that whatever techniques rural women take for video shooting, their image formation is still subject to the gaze of men and the patriarchal social order. In general, they are still disciplined, though their self-awareness has already begun to awaken.

Research implications
The research unveils the gendered frame behind the rural-related short videos in contemporary China. It can also help the rural female vloggers identify themselves.

Practical implications
Internet policymakers can guide the dissemination of short videos of rural women based on this research, thereby improving the status and lives of rural women.

Originality/value
This is an empirical study to examine the rural Chinese female vloggers’ attitude and cognitive competence based on the feminist theory.