bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sistem Telemetri Pendeteksi dan Identifikasi Lokasi Jatuh Lansia Berbasis Sensor Getar ADXL345
Authors: Refni Elsa , Wildian Wildian 
Published: March 2022

Lanjut usia memiliki keterbatasan fisik sehingga potensi jatuh yang dialami cukup tinggi. Ketika lansia jatuh dan tidak segera mendapat pertolongan dalam jangka waktu yang cukup lama dapat mengakibatkan cacat, lumpuh hingga kematian. Penanggulangan hal ini dapat dilakukan dengan melakukan pengawasan sehingga lansia yang mengalami jatuh segera mendapat pertolongan. Pengawasan secara tidak langsung dapat dilakukan dengan memanfaatkan smartphone. Pada penelitian ini, besaran akselerasi pada sumbu x,y z dari sensor ADXL345 digunakan untuk mengetahui besarnya percepatan dari gerakan yang dihasilkan oleh objek. Saat sensor mendeteksi nilai akselerasi mencapai nilai ambang batas sebesar z â‰¤ -0,20 yang diperoleh melalui eksperimen maka Arduino Uno akan memproses informasi tersebut sehingga koordinat lokasi jatuh dapat dikirimkan melalui SMS menggunakan modul SIM900A. Hasil penelitian ini menunjukkan sistem memiliki keakuratan hingga 80%Â Â Eldery is people who are more than 60 years old. Eldery have a physical limitation, so that eldery have the hight risk of slipping. When eldery person slips and doesnâ€™t get help immediately get help for a long periode of time can lead to disability, paralysis to death. Overcoming this can be done by monitoring. This monitoring can help eldery get help immediately. Indirect surveilance can be done using a smartphone. On this research, amount of acceleration on x, y, z axis of ADXL345 sensor is used to determine the magnitude of acceleration of motion generated by the object. When the sensor detects the acceleration value reaches a threshold value of z â‰¤ -2,00 G which is obtained through eperiments, Arduino Uno will process the information so that the coordinates of the slips location indentified by GPS NEO-6M can be sent via SMS using the SIM900A module. The result of this research indicate the system has an accurancy of up to 80%.
Identifikasi Potensi Likuifaksi di Kecamatan Sungai Limau Kabupaten Padang Pariaman dengan Metode Geolistrik 2D Tahanan Jenis
Authors: Monica Fadilla , Pujiastuti Dwi , Afdal Afdal 
Published: March 2022

Telah dilakukan penelitian untuk mengetahui potensi likuifaksi di Kecamatan Sungai Limau, Kabupaten Padang Pariaman, Sumatera Barat. Data yang digunakan yaitu data sekunder dari Loka Riset Sumber Daya dan Kerentanan Pesisir (LRSDKP) Kota Padang pada tahun 2019. Penelitian ini menggunakan metode geolistrik tahanan jenis 2D konfigurasi Wenner. Pengambilan data dilakukan pada dua lintasan sejajar pantai (L1&L3) dan satu lintasan tegak lurus (L2) pantai dengan panjang lintasan masing-masing 540 m, jumlah titik sounding 54 dan jarak elektroda 10 m. Pengolahan data dilakukan menggunakan software AGI EarthImager 2D. Hasil penelitian menunjukkan lapisan bawah permukaan terdiri dari endapan aluvial berupa pasir dan kerikil yang jenuh air, kedalaman muka air tanah cukup dangkal sekitar 1 â€“ 18 m sehingga berpotensi terjadi likuifaksi. Daerah penelitian juga telah mengalami intrusi air laut sampai sejauh 350 m dari pantai. Intrusi air laut ini membuat sedimen penyusun wilayah semakin jenuh air sehingga potensi likuifaksi lebih tinggi. L1 (lebih dekat ke pantai) memiliki potensi likuifaksi yang relatif tinggi dibandingkan dengan L3 karena kedalaman muka air tanahnya lebih dangkal dan intrusi air laut lebih luas.Â Research to determine liquefaction potential in Sungai Limau Region, Padang Pariaman Regency, West Sumatra, had been conducted. The data used are resistivity data surveyed by the Research Institute for Coastal Resources and Vulnerability (RICRV) of Padang in 2019. This study applied the Wenner 2D configuration of the resistivity geoelectric method. Data collection was carried out on two main lines, parallel to the coastline (L1 & L3) and one perpendicular to the coastline (L2) with 540 m length, 54 sounding points, and 10 m electrode distance. Data processing was performed using AGI EarthImager 2D software. The results show that the subsurface layer consists of alluvial deposits in water-saturated sand and gravel. The groundwater level's depth is relatively shallow, around 1 - 18 m indicating a liquefaction potential. The study area also undergoes seawater intrusion up to 350 m from the coastline. Seawater intrusion triggers the existence of water-saturated sediment resulting in enhanced liquefaction potential. L1 (near the coast) showed a relatively higher liquefaction potential than line L3 because of its shallow groundwater-surface, triggering the more expansive seawater intrusion.
Karakterisasi Sensor Liquefied Petroleum Gas (LPG) dari Bahan SnO2 Didoping dengan Al2O3
Authors: Addina Nesfi , Elvaswer Elvaswer 
Published: March 2022

Karakterisasi terhadap sensor gas LPG dari bahan SnO2 didoping dengan Al2O3 telah dilakukan. Sampel dibuat dengan persentase doping 0%, 2%, 4%, 6%, 8% dan 10% mol terhadap bahan dasar SnO2. Sensor gas LPG diuji pada temperatur ruang untuk mendapatkan karakteristik I-V, nilai sensitivitas, selektivitas, konduktivitas, waktu respon dan karakterisasi XRD. Berdasarkan pengukuran karakteristik I-V, sensitivitas tertinggi pada sampel 92% mol SnO2 + 8 % molÂ Al2O3 yaitu 4,33 pada tegangan 12 volt. Nilai selektivitas tertinggi terdapat pada sampel 92% mol SnO2 + 8 % mol Al2O3 yaitu 2,67 pada tegangan 6 volt. Nilai konduktivitas tertinggi dimiliki sampel 92% mol SnO2 + 8 % mol Al2O3 yaitu 12,06 x 10-4/Î©.m pada lingkungan LPG. Waktu respon sampelÂ 92% mol SnO2 + 8 % mol Al2O3 yaitu 45 s pada tegangan 24 volt. Hasil XRD menunjukkan ukuran kristal 92% mol SnO2 + 8 % mol Al2O3 yaitu 43,67 nm lebih kecil dibandingkan dengan 100% SnO2 yaitu 57,74 nm.Â Characterization of LPG gas sensors made from material SnO2 doped with Al2O3 was performed. Samples were made with doped Percentages of 0%, 2%, 4%, 6%, 8% and 10% mol of the basic ingredient SnO2. LPG gas sensors was tested at room temperature by measuring I-Vâ€™s characteristics, calculating values of sensitivity, selectivity, conductivity, response time and XRD characterization. Based on the measurement of I-V characteristics, the highest sensitivity of the sample 92% mol SnO2 + 8% mol Al2O3 is 4.33 at a voltage of 12 volts. The highest selectivity value of the sample 92% mol SnO2 + 8% mol Al2O3 is 2.67 at a voltage of 6 volts. The highest conductivity value was given a sample of 92% mol SnO2 + 8% mol Al2O3 is 12.06 x 10-4 / Î©.m in the LPG environment. The sampleâ€™s response time is 92% mol SnO2 + 8% mol Al2O3, which is 45 s at a voltage of 12 volts. The XRD results that the crystallite size of 92% mol SnO2 + 8% mol Al2O3 is 43.67 nm smaller than 100% SnO2 is 57.74 nm.
Rancang Bangun Sistem Kontrol Suhu dan Ketinggian Air Secara Otomatis Pada Kandang Sapi Perah Berbasis Arduino Uno
Authors: Sari Ines Monica , Firmawati Nini 
Published: March 2022

Telah dirancang bangun sistem kontrol suhu dan ketinggian air pada kandang sapi perah secara otomatis. Sistem ini berfungsi untuk mengontrol suhu kandang dan mengontrol air minum sapi perah secara otomatis berdasarkan suhu dan ketinggian air pada wadah di kandang sapi perah yang telah diatur pada program. Metode yang dilakukan pada penelitian ini adalah dengan mengukur suhu dan ketinggian air yang terdeteksi oleh sensor DHT22 dan sensor ultrasonik HC-SR04 kemudian diteruskan ke mikrokontroler. Saat suhu yang didapat < 17ÂºC maka lampu hidup secara otomatis yang menghasilkan panas untuk meningkatkan suhu kandang sapi perah. Jika suhu > 21ÂºC maka kipas angin hidup secara otomatis untuk menurunkan suhu kandang sapi perah. Sedangkan ketika ketinggian air di dalam wadah 5 cm dari dasar wadah, maka pompa air akan hidup secara otomatis untuk mengisi wadah air. Pompa air akan mati secara otomatis ketika jarak permukaan air pada wadah 7 cm dari sensor. Sistem terdiri dari sensor DHT22 sebagai pengukur suhu, tiga buah relai sebagai saklar, pompa air mini untuk mengalirkan air ke wadah, sensor ultrasonik HC-SR04 untuk mendeteksi ketinggian air, dan LCD untuk menampilkan nilai suhu dan jarak. Sistem ini dikontrol oleh modul Arduino Uno.Â A water level control system has been designed in an automatic dairy cattle. This systems control. This system functions to control the temperature of the cattle and control the dringking water of dairy cows automatically based on the temperature and height of the water in the container in the dairy cage that has been set in the program. The method used in this study is to measure the temperature and water level detected by the DHT22 sensor and the HC-SR04 ultrasonic sensor and then forwarded to the microcontroller. When the temperature is < 17ÂºC, the lamp turns on automatically which generates heat to increase the temperature of dairy cattle. If the temperature > 21ÂºC, the fan turns on automatically to reduce the temperature of the dairy cattle. Meanwhile, when the water level in the container is 5 cm from the bottom of the container, the water pump will start automatically to fill the water container. The water pump will automatically shut down when the water level on the container is 7 cm from the sensor. The system consists of a DHT22 sensor as a temperature gauge, three relays as a switch, a mini water pump to drain water to the container, an ultrasonic sensor HC-SR04 to detect water levels and an LCD to display temperature and distance values. This system is controlled by the Arduino Uno module.Â
Finite element modeling of multiphase flows with their balancing while setting the working pressure on wells during oil production
Authors: Овчинникова А.С. , Патрушев И.И. , Гриф А.М. , Персова М.Г. , Соловейчик Ю.Г. 
Published: March 2022

Рассмотрены подходы к моделированию многофазных потоков в нефтяном коллекторе при фиксировании рабочего давления на зонах перфорации активных скважин. Предложенный численный метод основан на неявном расчете давления и явном пересчете насыщенностей фаз в ячейках сетки на каждом временн´ом шаге. Представлено описание математической модели, общей вычислительной схемы, конечноэлементной аппроксимации поля давления. Для сохранения консервативности потоков смеси используется специальный метод балансировки, приводится его алгоритм. Проведены исследования на задаче сравнительного проекта SPE-10, для которой расчет потоков на зонах перфорации скважин при фиксированном давлении выполнялся с использованием двух подходов.
Approaches to modeling multiphase flow in oil reservoir while setting the working pressure for the perforation zones of active wells are considered. The proposed numerical method is based on an implicit calculation of the pressure and an explicit recalculation of the phase saturations in the mesh cells at each time step. Description of the mathematical model, general computational scheme, finite element approximation of the pressure field are presented. To ensure conservation of the mixture flows, special method of balancing is used, and its algorithm is presented. The studies were carried out on the problem of the comparative project SPE-10, for which the calculation of flows for the perforated zones of wells with a set pressure was carried out using two approaches.
Farmer’s Perceptions on Market and Climate Risks: Adaptive Behavior in Punjab, Pakistan
Authors: Ahmad Dilshad , Shabbir Mah Rukh , Shah Salyha Zulfiqar Ali 
Published: March 2022

Purpose: Rural communities particularly in developing countries are consecutively facing losses of income and crops production due to dynamics of the market and climatic risks. The specific objective of this research is to investigate farmers’ perceptions of market and climate risks and their adaptive behavior in Punjab, Pakistan.
Methodology: A multistage random sampling approach was used for collecting the data of 480 household respondents from climate-based categorized three districts of Punjab, Pakistan.
Findings: For empirical correlation of risk perception of farmers with combined risks and adaptive behavior, this study used two Logit models. Estimates indicated as risk perception of the farmers market and climate change significantly affected their adoption behavior such as fall in agriculture products prices and drought while an increase in floods, rainfall and hail storms. Logit model explanatory capacity was improved by including demographic factors in the model. Large farms household heads were unwilling whereas well-educated and male farmers were more enthusiastic to take measures for avoidance of risks. In averting the climate risks, the majority of farmers adopted scheduled adjustment and crop varieties as adaptive measures in the study area.
Policy Implications: For motivating farmers to adapt and risk management measures there is a need for adequate provision of financial support through formal institutions on the subsidized rate of interest in these study areas.
Guided inquiry learning model implementation to improve senior high school students’ critical thinking skills on equilibrium material
Authors: Giovani Artika , Novita Dian 
Published: March 2022

The study aims to improve student students' activities, critical thinking abilities, and responses toward implementing the guided inquiry learning model. The one-group pretest-posttest design was employed in the research. The research sample was 36 students from Al-Islam High School Krian Sidoarjo, West Java, Indonesia. The instruments in this research were the syllabus, lesson plans, and student worksheets. The research instruments used were the observation sheet on the implementation of the learning model, the student activity observation sheet, the pretest and posttest sheets, and the student response sheet. The research findings were: (1) The implementation of the learning model received a score of 91.11%, 94.99%, and 99.29% at meeting 1, meeting 2, meeting 3, respectively, with very good criteria. (2) The activity of students in the first meeting was 96.23%, the second meeting was 97.40%, the third meeting was 99.11%. (3) The normality test results showed a significance value of 0.083 > 0.05, which shows that the data was normally distributed. The analysis results using the Paired Sample T-test got a significance value of 0.000 <0.05, Sig. (2-tailed) < 0.05. It indicates a significant difference between the results of the pretest and posttest. (4) The results of student responses obtained positive reactions with an average percentage of answers of 99.44%. The negative reactions with the average percentage of answers are 0.62%.
Pengaruh Leverage Ratio, Likuidity Ratio, dan Sales Growth Ratio terhadap Financial Distress Bank Umum Syariah Tahun 2016-2020
Authors: Aisyah Siti , Nurhayati  
Published: March 2022

Abstract. This research began with the phenomena of financial conditions having an effect on Islamic banking as a result of the corona virus pandemic, or Covid-19, in March 2020. The goal of this study was to ascertain the size of the Leverage Ratio (LVR), Liquidity Ratio (LKR), and Sales Growth Ratio (SGR) on the Financial Distress of Islamic Commercial Banks between 2016 and 2020. The LVR variable is calculated using the Debt to Equity Ratio, the LKR variable uses the Current Ratio, and the SGR variable uses the Sales Growth Ratio. The sample includes up to 11 Islamic Commercial Banks that are registered with the Financial Services Authority and have provided the essential information in an annual report published between 2016 and 2020. 55 samples were obtained in this study based on the sample size and range of observations. The research strategy employed is one of verification with a quantitative approach. Multiple regression analysis will be used to examine the stated hypothesis. The findings of this study reveal that LKR and SGR both have an influence on financial distress, however LVR has no effect.
Abstrak. Penelitian ini berawal dari fenomena kondisi keuangan yang berpengaruh terhadap perbankan syariah akibat pandemi virus corona, atau Covid-19, pada Maret 2020. Tujuan dari penelitian ini adalah untuk memastikan besar kecilnya Leverage Ratio (LVR), Rasio Likuiditas (LKR), dan Rasio Pertumbuhan Penjualan (SGR) pada Financial Distress Bank Umum Syariah (BUS) periode 2016 hingga 2020. Variabel LVR dihitung menggunakan Debt to Equity Ratio, variabel LKR menggunakan Current Ratio, dan SGR variabel menggunakan Rasio Pertumbuhan Penjualan. Sampel mencakup hingga 11 BUS yang terdaftar di Otoritas Jasa Keuangan (OJK) dan telah memberikan informasi penting dalam laporan tahunan yang diterbitkan antara 2016 dan 2020. 55 sampel diperoleh dalam penelitian ini berdasarkan ukuran sampel dan rentang pengamatan. Strategi penelitian yang digunakan adalah salah satu verifikatif dengan pendekatan kuantitatif. Analisis regresi berganda akan digunakan untuk menguji hipotesis yang dikemukakan. Temuan penelitian ini mengungkapkan bahwa LKR dan SGR sama-sama berpengaruh terhadap financial distress, namun LVR tidak berpengaruh.
Perbaikan Proses Produksi Menggunakan Konsep Lean Manufacturing pada Produksi Tas di CV. Idola Indonesia
Authors: Dewantara Indra , Muhammad Chaznin R. 
Published: March 2022

Abstract. CV. Idola Indonesia is a manufacturing company engaged in the garment industry that produces several types of bags. This study focuses on one type of product, namely the tote bag product because this product has the highest demand and the highest percentage of product completion delays compared to other bag products. In the tote bag production process, there are several wastes that exist on the production line, such as waiting and accumulation of inventory in the form of work in process (WIP) found at all work stations. One approach that can reduce waste is Lean Manufacturing. The first step in this research is the identification of waste using Value Stream Mapping (VSM), Questionnaire 7 Waste, Weighting Waste. Based on the results of the weighting of waste from the results of the 7 waste questionnaire, 2 dominant wastes are obtained, namely waiting and inventory. Then identified each process flow using Process Activity Mapping (PAM) and found delay which became the highest non value added. The current scheduling simulation for making totebags can take up to 12 working days. The causes of problems that exist in the dominant waste that has the highest score value will be made recommendations for improvement. There are 2 recommendations for improvement, namely dividing batches and dividing job operators at each work station. The improvement recommendations that have been made can reduce the lead time by 8127.84 minutes.
Abstrak. CV. Idola Indonesia merupakan perusahaan manufaktur yang bergerak pada bidang industri garmen yang memproduksi beberapa jenis tas. Dalam penelitian ini berfokus pada salah satu jenis produk, yaitu produk totebag karena produk ini memiliki demand tertinggi dan persentase keterlambatan penyelesaian produk paling besar dibandingkan dengan produk tas lainnya. Pada proses produksi totebag terdapat beberapa waste yang ada pada lini produksi, seperti adanya waiting dan adanya penumpukan inventory berupa work in process (WIP) yang ditemui pada seluruh stasiun kerja. Salah satu pendekatan yang dapat mengurangi waste adalah Lean Manufacturing. Langkah awal yang dilakukan pada penelitian ini adalah identifikasi waste menggunakan Value Stream Mapping (VSM), Kuesioner 7 Waste, Pembobotan Waste. Berdasarkan hasil pembobotan waste dari hasil kuesioner 7 waste, didapat 2 waste dominan yaitu waiting dan inventory. Kemudian dilakukan identifikasi setiap aliran proses menggunakan Process Activity Mapping (PAM) dan ditemukan delay yang menjadi non value added tertinggi. Simulasi penjadwalan untuk saat ini dalam membuat totebag dapat mencapai 12 hari pengerjaan. Penyebab masalah yang ada pada waste dominan yang memiliki nilai score tertinggi akan dibuat rekomendasi perbaikan. Terdapat 2 rekomendasi perbaikan yaitu melakukan pembagian batch dan melakukan pembagian job operator pada setiap stasiun kerja. Rekomendasi perbaikan yang telah dibuat dapat mereduksi lead time sebesar 8127,84 menit.
Penerapan Game Theory dalam Menentukan Strategi Pemberian Vaksin Covid-19 yang Optimal di Indonesia
Authors: Chaeruddin Ahmad Sultan , Sukarsih Icih , Rohaeni Onoy 
Published: March 2022

Abstract. The COVID-19 pandemic has entered Indonesia since early March 2020. Various efforts made by the government to prevent the spread of this virus, are deemed not effective enough. One strategy that is considered capable of fighting the virus is through a vaccination program, because the vaccine will create herd immunity. However, the presence of viral mutations affects the efficacy of existing vaccines. For this reason, the government must choose the optimal strategy for vaccination. This study aims to determine the optimal proportion of the use of Sinovac and AstraZeneca vaccines using Game Theory, and determine the level of herd immunity that will be achieved if the government only uses these two vaccines. In this case, it is assumed that the Government is a line player with this type of vaccine (Sinovac and AstraZeneca) as the strategy, and Virus as a column player with its variants (old and new) as the strategy. While the efficacy of each type of vaccine is seen as a game value. This problem can be modeled into a 2×2 payoff matrix which can be solved using a mixed strategy. Based on the results of the study, it was found that the Government's optimal strategy was to vaccinate 86.1% of its citizens with Sinovac and 13.9% of its citizens with AstraZeneca. Through this optimal strategy, the herd immunity achieved is 66.7% of the total population.
Abstrak. Pandemi COVID-19 telah masuk ke Indonesia sejak awal Maret 2020. Berbagai upaya yang dilakukan pemerintah untuk mencegah penyebaran virus ini, dirasa belum cukup efektif. Salah satu strategi yang dianggap mampu untuk melawan virus adalah melalui program vaksinasi, karena vaksin akan menciptakan herd immunity. Namun, adanya mutasi virus mempengaruhi efikasi vaksin yang ada. Untuk itu pemerintah harus memilih strategi yang optimal dalam melakukan vaksinasi. Penelitan ini bertujuan untuk menentukan proporsi optimal penggunaan vaksin Sinovac dan AstraZeneca menggunakan Game Theory, dan mengetahui tingkat herd immunity yang akan dicapai jika pemerintah hanya menggunakan kedua vaksin tersebut.. Dalam hal ini diasumsikan bahwa Pemerintah sebagai pemain baris dengan jenis vaksin (Sinovac dan AstraZeneca) sebagai strateginya, dan Virus sebagai pemain kolom dengan variannya (lama dan baru) sebagai strateginya. Sedangkan efikasi dari masing-masing jenis vaksin dipandang sebagai nilai permainan. Masalah ini dapat dimodelkan kedalam matriks payoff berukuran yang dapat diselesaikan menggunakan strategi campuran. Berdasarkan hasil penelitian diperoleh bahwa strategi optimal Pemerintah adalah melakukan vaksinasi terhadap 86,1% warganya dengan Sinovac dan 13,9% warganya dengan AstraZeneca. Melalui strategi optimal tersebut, herd immunity yang dicapai adalah 66,7% dari total populasi.