Pengembangan E-Modul Statistika Terintegrasi dan Dinamik dengan R-shiny dan mathJax

Pemanfaatan teknologi berbasis web dalam mendukung pembelajaran saat ini semakin dirasakan. Salah satu yang sangat populer adalah pemanfaatan e-learning baik sebagai suplemen bagi program reguler, maupun sebagai komplemen untuk program pembelajaran jarak jauh.  Program e-learning seperti Moodle sudah dilengkapi banyak fasilitas untuk mendukung pembelajaran terutama terkait dengan penguasaan teori. Untuk mendukung aktivitas e-learning, diperlukan modul pembelajaran yang bersifat elektronik (e-modul). Dalam bidang statistika contoh-contoh ilustrasi bisa dibangkitkan melalui simulasi kompuer. Tentu akan sangat bermanfaat apabila contoh-contoh simulasi ini bersifat dinamik yang bisa diubah pembaca secara fleksibel. Dalam paper ini dibahas pengembangane-modul terintegrasi dengan simulasi komputer, sehingga e-modul ini memuat notasi matematika dengan baik, dengan  contoh-contoh merupakan simulasi yang sebagian bisa dikendalikan oleh pengguna modul, tanpa bergantung pada penguasaan program yang mengendalikan simulasi

Application of Black Scholes Method in Determining Agricultural Insurance Premium Based On Climate Index Using Historical Burn Analysis Method

Climate index insurance is an insurance that provides reimbursement for losses due to decreased harvest rates or crop failures caused by weather. The use of Historical Burn Analysis (HBA) method in determining climate index based on rainfall resulted in a concept of the agricultural insurance payment in Pasuruan Regency. The application of The Black Scholes method in determining agricultural insurance premiums is obtained when rainfall more than 17 mm the premium is Rp 221,234. If the rainfall are 13 mm ≥ RR < 17 mm, the nominal premium paid by farmers to the insurance party is Rp 147,489. Respondents in the study were farmers who owned rice fields. Instrument quality testing (questionnaire) using validity test and reliability test using the help of SPSS statistical software. It can be concluded that the questionnaire is valid and reliable. Based on the results of the questionnaire, farmers considered that the nominal agricultural insurance premiums are in accordance with farmers' income

On Improving the Students’ Combinatorial Thinking Skill in Solving Rainbow Antimagic Colouring Problem on Cryptography for E-Commerce Security Systems under the Implementation of Research-Based Learning with STEM Approach

Combinatorial thinking is the process of obtaining multiple solutions for discrete problem-solving. Combinatorial thinking skills have several indicators: identifying several cases, recognizing patterns from all cases, generalizing all cases, proving mathematically, and considering other combinatorial problems. The learning approach in schools is growing along with the development of science and technology, one of the approaches used in STEM. STEM education focuses students on solving problems in everyday life with the help of science, technology, engineering, and mathematics. This paper aimed to analyze the students’ combinatorial thinking skills after using a research-based learning worksheet with a STEM approach to solving the rainbow antimagic colouring problem. This study uses a mixed-method where this research combines qualitative and quantitative methods. The subjects of this research are undergraduate students of Mathematics Education, University of Jember. This study involved two classes, namely the experimental and control classes, where the researcher gave the two classes different treatments. The t-test compares students’ combinatorial thinking skills between the experiment and control classes after using research-based learning tools with a STEM approach for solving the rainbow antimagic problem. The homogeneity test results on the pre-test items indicated a significance value of .789 > .05, which indicates that the two classes are homogenous. The independent sample t-test score is .020 < .05, which means the difference is significant. It concludes that implementation of the research-based learning materials with a STEM approach can improve the students’ combinatorial thinking skills in solving the rainbow antimagic colouring

Analysis of the Death Risk of Covid-19 Patients Using Extended Cox model

Globally, in 2021, there were 170,051,718 COVID-19 cases and 3,540,437 patients who died. The high mortality rate of patients infected with COVID-19 gives an idea to research the analysis of the factors that influence the death of Covid-19 patients. The data used in this study is data on Covid-19 patients obtained from the Mexican Government, with response variables namely time and status and predictor variables, namely patient laboratory results in the form of a history of illness that has been suffered by Covid-19 patients so that they adopt the extended model to evaluate the data. The data in this study are heterogeneous and large in number so that data clustering is carried out into 3 clusters, namely low emergency clusters, medium emergency clusters and high emergency clusters using K-means clustering. Because the study could not find the factors that influence the death of Covid-19 patients, two clusters were chosen, namely the medium emergency cluster and the high emergency cluster. So that the factors that influence the death of Covid-19 patients in the medium emergency cluster are sorted by the highest hazard ratio, namely pneumonia, old age, renal chronic, diabetes, Chronic Obstructive Pulmonary Disease (COPD), immune system, hypertension, cardiovascular, obesity, gender, and asthma. In the high emergency cluster, sorted by the highest hazard ratio is the immune system, renal chronic, cardiovascular, COPD, tobacco, hypertension, obesity, gender, and pneumonia

Comparison of Online and Offline Learning During The COVID-19 Pandemic using Naïve Bayes Method and C4.5

Learning is a process of interaction between educators and students who meet the elements of learning carried out in an educational environment, so that learning can develop student’s abilities, interests and talents optimally. In today's era learning is done online and inversely with offline. The purpose of this study is to analyze the comparison of percentages and classification results as well as the results of learning evaluations using the Naïve Bayes method and C4.5. This test is carried out with 4 variables and a comparison of the two methods. The results showed that the accuracy of Naïve Bayes was 74.07% and C4.5. of 77.77% so that the comparison results show that the level of accuracy of the C4.5 method is better than Naïve Bayes. The resulting importance variables are time and effectiveness as well as the results of the classification of learning decisions, namely the offline category as many as 16 data on the Naïve Bayes method and 19 data on the Decision Tree algorithm C4.5 method from 27 input testing data

EVALUASI KINERJA JARINGAN IRIGASI PADA DAERAH IRIGASI TUNGKUB KECAMATAN MENGWI, KABUPATEN BADUNG

Daerah Irigasi Tungkub (DI Tungkub) yang berada di Badung merupakan daerah irigasi teknis dengan sumber air dari Bendung Tungkub, Daerah Aliran Sungai Sungi (DAS Sungi). DI Tungkub memiliki luas rencana 1.092ha dan luas fungsional 1.045ha sumber. Saat ini di Subak Tungkub Dalem dan Tungkub Lanyahan yang berada di sawah paling hilir masih mengalami kekurangan air. Saat ini pada DI Tungkub sebagian saluran sudah rusak dan sebagian tanpa pasangan batu. Agar komitmen petani mempertahankan ekosistem sawah tetap eksis, maka perlu dilakuan evaluasi kinerja jaringan irigasi DI Tungkub sebagai tindak lanjut dari pengelolaan Jaringan Irigasi Tungkub. Hasil evaluasi ini diharapkan dapat diambil langkah-langkah atau tindakan-tindakan dalam memanfaatkan  air irigasi pada DI Tungkub sehingga efektif dan efisien. Penelitian ini dilakukan dengan tahapan analisis ketersediaan air, analisis kebutuhan air, analisis water balance, analisis efisiensi penyaluran irigasi, analisis efektifitas irigasi. Data yang disiapkan yaitu dimensi saluran, debit pengaliran, curah hujan dan pola tanam. Penelitian ini mendapatkan DI Tungkub pada Masa Tanam 2019 kekurangan (defisit) air pada pada Bulan Nopember-Desember 2018 dan Bulan Juli–Oktober 2019 dengan defisit tertinggi pada Bulan September 2019 sebesar 1.215,56lt/dt. Kelebihan (surplus) air terjadi Bulan Januari-Juli 2019 dengan surplus tertinggi terjadi pada Bulan Maret 2019, sebesar 1.620,01lt/dt. Nilai efisiensi pengaliran sebesar 87,46% menunjukkan saluran primer  pada DI Tungkub memiliki nilai efiesiensi pengaliran dibawah standar saluran perimer yang disyaratkan sebesar 90%, sehingga perlu dilakukan peningkatan atau perbaikan saluran eksisting dari BT.1 sampai BL.1. Nilai Efektifitas irigasi sebesar 95,69% menunjukkan saluran primer  pada DI Tungkub termasuk kriteria masih efektif

Characteristics and performance analysis of activated carbons derived from different precursors and activators for waste water adsorption

Domestic waste such as methylene blue from the dyeing process and detergent from laundry activities are sources of water pollution. Before being dumped into the water, this waste must be minimized. One approach that can be utilized is the adsorption method with activated carbon. To generate activated carbon with the properties required for this purpose, an appropriate precursor and manufacturing conditions must be chosen. The objective of this research is to investigate the characteristics and performance of activated carbon derived from various precursors (Petung and Santong bamboos) and activators (Ar, N2, and CO2) for detergent and methylene blue dye adsorption. The difficulty to be solved is determining the best precursor and activator for maximum methyl blue and detergent adsorption. Characterizations included FTIR, XRD, SEM, TGA, and adsorption isotherm testing. The study's findings show that activated carbons have functional groups O-H (hydroxyl), C-H (aldehydes and alkenes), C=C aromatic rings, C-H aromatic groups, and an amorphous structure. The presence of a porous and amorphous structure, as well as the C=C aromatic ring, makes activated carbons capable of absorbing methyl blue and detergent. Santong bamboo-activated carbon activated with argon has the best characteristics and adsorption capability. This activated carbon has a fixed carbon content of 76.34 %, pore volumes of 0.362 cc/g, average pore widths of 1.967 nm, pore surface area of 291.487 m2/g, bimodal pore size distribution, and methylene blue and detergent adsorption capabilities of 19.733 cc/g and 1.689 cc/g, respectively. The results obtained are on a laboratory scale, which necessitates additional research, particularly on how to create reservoirs and regenerate activated carbon simply and affordabl

Characteristics and performance analysis of different grain sizes bamboo-activated carbons for motorcycle flue gas adsorption

The use of fossil fuels in human activities such as motorcycles has led to an increase in the concentration emitted in the atmosphere. Various efforts and methods such as adsorption using activated carbon have been developed and applied to reduce the emission. Therefore, this study focuses on the characteristics and performance of bamboo-activated carbons in the adsorption of motorcycle flue gases. This was carried out using different grain sizes (z) of activated carbons AC-M1, AC-M2, and AC-M3 for grain sizes of z≤250, 250<z≤420, and 420<z≤590 microns, respectively, which were derived from swat bamboo and carbonized at a temperature of 750 ○C. Furthermore, physical activation was applied by heating the charcoal at the same temperature under a nitrogen flow rate of 150 mL/min nitrogen. The Thermogravimetric (TGA), scanning electron microscopy (SEM), and adsorption isotherm tests were employed for the characterization of activated carbons. Additionally, the performances of activated carbons for motorcycle flue gas adsorption (CO2, CO, and HC) were carried out by a motorcycle emission test. According to the results, activated carbon AC-M1 produced the best characteristics and performance for adsorption of motorcycle flue gas, as it has a pore volume of 0.135 cm3/g, a specific surface area of 244.69 m2/g, and a nitrogen adsorption capacity of 87.047 cm3/g. These characteristics prove to have good adsorption efficiencies at 100 %, 87.30 %, and 100 % for adsorption of CO2, CO, and HC, respectively

ANALISIS STRUCTURAL EQUATIONMODELING(SEM) UNTUK SAMPEL KECIL DENGAN PENDEKATAN PARTIAL LEAST SQUARE (PLS)

Analisis Structural Equation Modeling (SEM) sering diaplikasikan pada permasalahan sosial yang membutuhkan model yang relatif kompleks. Pendugaan parameter pada analisis SEM membutuhkan beberapa asumsi penting seperti ukuran sampel minimal 10 kali banyaknya indikator dan data harus berdistribusi normal. Pada prakteknya tidak mudah untuk memenuhi asumsi tersebut. Dalam perkembangannya terdapat sebuah metode SEM yang tidak membutuhkan asumsi tersebut yang dikenal dengan metode analisis Partial Least Square (PLS).Metode ini merupakan analisis SEM berbasis varian atau dikenal dengan SEM-PLS. Pendugaan parameter pada metode ini tidak membutuhkan ukuran sampel yang besar dan data tidak harus berdistribusi normal. Pada penelitian ini akan ditunjukkan perbandingan analisis data menggunakan metode SEM-PLS dengan metode CB-SEM. Perbandingan analisis data menggunakan data serdos yang berupa 4 variabel laten dan 24 variabel indikator yang sebelumnya sudah dianalisis menggunakan metode analisis CB-SEM dengan data ditransformasi ke z-score untuk memenuhi asumsi. Pada penelitian ini digunakan tiga macam ukuran sampel yaitu 35,55, dan 75yang diambil dari parent sample sebanyak160kemudian dilakukan tahap Bootstrapping sebanyak 50 kali. Tahap tersebut dilakukan padasetiap ukuran sampel untuk mengetahui seberapa minim ukuran sampel pada metode SEM-PLS yang representatif terhadap sample parent. Hasil penelitian menunjukkan bahwa ukuran sampel yang digunakan pada metode analisis SEM-PLS adalah sebanyak 55. Nilai R2 pada ukuran sampel 55 sama baik dengan nilai R2 pada parent sample dengan data tidak ditransformasi ke z-score sebagaimana metode CB-SEM

EFEKTIVITAS KONSELING KELOMPOK COGNITIVE BEHAVIOR THERAPY (CBT) UNTUK MENINGKATKAN MOTIVASI BERPRESTASI SISWA DI SMP NEGERI 10 MATARAM

ABSTRAK: Pengembangan potensi siswa dapat dilakukan oleh guru Bimbingan dan Konseling (konselor), dengan melakukan pendekatan secara umum dengan memberikan kesempatan kepada siswa untuk mengenali diri dan lingkungannya dalam rangka pengentasan masalah dalam bidang pribadi, sosial, belajar, dan karir dimana skenario tindakan merupakan hasil transaksi dari keputusan konseli. Dari beberapa hasil penelitian menunjukkan bahwa prestasi akademik sangat dipengaruhi oleh motivasi berprestasi. Adapun salah satu penyebab rendahnya motivasi berprestasi adalah karena prokrastinasi akademik. Untuk dapat meningkatkan motivasi berprestasi pada siswa maka konselor memiliki tanggung jawab untuk memberikan layanan konseling yang professional. Perwujudan layanan konseling yang professional di sekolah, dapat dilakukan konselor dengan bekal kemampuan untuk terampil, menguasai, dan mengaplikasikan pendekatan konseling yang efektif dan efisien, salah satunya dengan menerapkan pendekatan konselingCognitive Behaviour Therapy (CBT). Tujuan dalam penelitian ini adalah untuk mengetahui keefektifan dari konseling kelompokCognitive Behavior Therapy (CBT) dalam meningkatkan motivasi berprestasi pada siswa di SMP Negeri 10 Mataram. Penelitian ini merupakan penelitian kuantitatif dengan rancangan pre-experimen.Desain penelitian yang digunakan yakni pre-test and post-test group design. Target populasi (universe) penelitian ini adalah siswa kelas VIII di SMP Negeri 10 Mataram yang tercatat pada tahun ajaran 2014/2015. Pemilihan subjek sasaran penelitian (kelompok eksperimen) yang dilakukan dengan teknik purposive sampling. Dalam penelitian ini instrument yang digunakan yaitu berupa angket motivasi berprestasi. Analisis data dilakukan untuk menguji hipotesis penelitian menggunakan uji statistik nonparametrik yakni menggunakant-tes.Dari hasil perhitungan diperoleh nilai t-hitung untuk kelompok ekperimen sebesar 21.019, sedangkan  nilai t-tabel dengan db = 8-1= 7 dan taraf  signifikansi 5% adalah sebesar 2.365, yang berarti nilai t-hitung lebih besar dari  t-tabel (21.019 > 2.365).Berdasarkan analisis data yang diperoleh dari hasil penelitian maka dapat disimpulkan bahwa: Konseling kelompok Cognitive Behavior Therapy (CBT) efektif untuk meningkatkan motivasi berprestasi siswa di SMP Negeri 10 Mataram. Kata Kunci:Konseling KelompokCognitive Behavior Therapy, dan Motivasi Berprestas