bluuebunny/crossref_metadata_2025 huggingface dataset:
Fuzzy Inference System Mamdani dalam Prediksi Produksi Kain Tenun Menggunakan Rule Berdasarkan Random Tree
Authors: Tundo Tundo , Saifullah Shoffan
Published: December 2022

Kain tenun merupakan salah satu produk yang diminati oleh banyak orang. Hal ini menjadi pemicu produsen untuk meningkatkan pengelolahannya. Salah satu usaha yang dilakukan adalah memprediksi produksi yang dapat dilakukan untuk mendapatkan jumlah optimal yang diperoleh, sehingga mendapatkan keuntungan yang besar. Dalam penelitian ini, untuk mendapatkan prediksi jumlah produksi kain tenun dilakukan dengan perhitungan komputerisasi menggunakan metode logika fuzzy Mamdani. Metode ini menggunakan konsep pohon keputusan random tree dalam membentuk rule. Rule yang dibuat berdasarkan pada kriteria dalam penentuan jumlah produksi kain tenun, diantaranya yaitu biaya produksi, permintaan, dan stok. Konsep pohon keputusan random tree dalam penelitian ini digunakan untuk membuat rule secara otomatis berdasarkan data yang tersedia. Pembentukan rule ini berdasarkan data-data kain tenun dan diimplementasikan dalam random tree, sehingga tidak perlu menggunakan pakar. Penelitian ini membuktikan bahwa prediksi yang dilakukan dapat membangun rule dengan nilai akurasi sebesar 100%. Hasil perbandingan prediksi dengan produksi sesungguhnya memiliki persentase error sebesar 3% dengan nilai kebenaran sebesar 97% (berdasarkan perhitungan Average Forecasting Error Rate (AFER)). Oleh karena itu ketika diimplementasikan dalam fuzzy Mamdani dapat menghasilkan prediksi produksi kain tenun yang optimal. AbstractWoven fabric is a product that is in demand by many people. It triggers producers to improve their management. One of the efforts made is to predict the production that can be done to get the optimal amount obtained, to get a significant profit. In this study, to obtain a prediction of the amount of woven fabric production is done by computerized calculations using the Mamdani fuzzy logic method. This method uses the concept of a random tree decision tree in forming rules. The rules are made based on the criteria in determining the amount of woven fabric production, including production costs, demand, and stock. The concept of a random tree decision tree in this study automatically generates rules based on available data. This rule's formation is based on woven fabric data and is implemented in a random tree, so there is no need to use experts. This study shows that the predictions made can build rules with an accuracy value of 100%. The comparison of predictions with actual production has an error percentage of 3% with a truth value of 97% (based on the calculation of the Average Forecasting Error Rate (AFER)). When implemented in Fuzzy Mamdani, it can produce optimal woven fabric production predictions with predicted results less than the actual production.
Analisis Sentimen terhadap Kebijakan Kuliah Daring Selama Pandemi Menggunakan Pendekatan Lexicon Based Features dan Support Vector Machine
Authors: Oktaviana Natasya Eldha , Sari Yuita Arum , Indriati Indriati
Published: December 2022

Adanya virus baru yaitu COVID-19 atau SARS-CoV-2 yang berasal dari Wuhan, China pada awal tahun 2020 telah menggemparkan seluruh warga dunia salah satunya Indonesia dan memiliki tingkat penularan yang tinggi. Sehingga untuk meminimalisir penyebaran COVID-19, pemerintah Indonesia menetapkan salah satu kebijakan dalam dunia pendidikan yaitu pembelajaran/perkuliah online. Kebijakan tersebut mengakibatkan seluruh penyebaran informasi berubah menjadi online dan memberikan dampak yang luas bagi keberlanjutan pendidikan di Indonesia. Hal tersebut menimbulkan kontroversi pada kalangan masyarakat dan banyak yang akhirnya beropini pada media sosial, salah satunya Twitter. Analisis sentimen berguna untuk mengetahui ketepatan komputasi sistem dalam mengenali pembicaraan pada Twitter mengenai kebijakan pembelajaran online cenderung bersentimen negatif atau positif dengan menggunakan metode Support Vector Machine dan Lexicon Based Features. Penggunaan Lexicon Based Features berpengaruh terhadap objek penelitian yang menghasilkan nilai accuracy 0,6, nilai precision 0,56, nilai recall 0,75, dan fmeasure 0,64 dengan parameter optimal dalam mencapai konvergensi yaitu ???? (Lambda) = 0,7, nilai parameter ???? (gamma) = 0,0001, nilai parameter ???? (Kompleksitas) = 0,0001, iterasi = 50, dan ???? (Epsilon) = 0,00000001. Hal tersebut menunjukkan bahwa metode yang digunakan pada penelitian ini dapat mengenali pembicaraan data komentar pada Twitter karena dibuktikan dengan nilai accuracy yang cukup tinggi.AbstractThe existence of a new virus, namely COVID-19 or SARS-CoV-2, that come from Wuhan, China, in early 2020, has shocked all citizens of the world, including Indonesia, and has a high transmission rate. So to minimize the spread of COVID-19, the Indonesian government has set one policy in online learning/lectures. This policy resulted in all information dissemination being online and had a broad impact on education in Indonesia. This policy caused controversy among the public, and many ended up giving opinions on social media, one of which was Twitter. Sentiment analysis is useful for determining the timeliness of system computing in discussions on Twitter regarding online learning policies that tend to have negative or positive sentiments using the Support Vector Machine and Lexicon Based Features methods. The use of Lexicon Based Features affects the object of research which produces an accuracy value of 0.6, a precision value of 0.56, a recall value of 0.75, and a size of 0.64 with the optimal parameter in achieving convergence, namely (Lambda) = 0.7, the parameter value (gamma) = 0.0001, the parameter value (Complexity) = 0.0001, iterations = 50, and (Epsilon) = 0.00000001. This evaluation value shows that the method used in this study can recognize the conversation of comment data on Twitter because a fairly high accuracy value evidences it.
Model Klasifikasi Calon Mahasiswa Baru Untuk Sistem Rekomendasi Program Studi Sarjana Berbasis Machine Learning
Authors: Pratama Ahmad R , Aryanto Rio Rizky , Pratama Arif Taufiq M
Published: December 2022

Proses pemilihan program studi bagi calon mahasiswa baru, khususnya bagi mereka yang masih duduk di bangku SMA atau sederajat, merupakan salah satu momen pengambilan keputusan penting. Tak jarang pilihan yang salah berujung pada kegagalan studi atau kesulitan lain selepas menamatkan studi. Meski sudah mulai marak dilakukan di berbagai negara maju, sistem rekomendasi program studi berbasis machine learning untuk calon mahasiswa baru masih belum banyak dikembangkan di Indonesia. Penelitian ini dilakukan sebagai upaya rintisan sistem rekomendasi tersebut dengan menggunakan data pribadi dan akademik dari semua mahasiswa dan alumni program sarjana di Universitas Islam Indonesia (UII), di mana data prestasi akademik di masing-masing program studi digunakan sebagai ground truth label. Dari hasil penelitian ini, didapatkan sebuah model berbasis Random Forest (RF) dengan tingkat akurasi 86%, presisi 84%, recall 86%, dan AUC 97%. Model ini memiliki kinerja yang jauh lebih baik jika dibandingkan dengan model berbasis Multinomial Logistic Regression (MLR) maupun Support Vector Machine (SVM). Sesuai peta jalan penelitian, model yang dihasilkan dari penelitian ini akan digunakan untuk pengembangan sistem rekomendasi yang dapat membantu calon mahasiswa baru dalam memilih program studi saat proses penerimaan mahasiswa baru (PMB), khususnya di lingkungan UII. AbstractChoosing a major for the prospective undergraduate students is one of the most important moments in their life, especially for the high school graduates. Not infrequently, a wrong choice can lead to academic failure or even other difficulties after graduating from college. While a machine learning-based college major recommendation system is not strange in some developed countries, it is not the case in Indonesia. This study aims to serve as a pilot project for such a recommendation system by using personal and academic data of all students and alumni of the undergraduate programs in Universitas Islam Indonesia (UII) where academic achievement data is used as the ground truth label. Out of three models used and evaluated in this study, we found that Random Forest-based model to be the best option with an accuracy of 86%, precision on 84%, recall of 86%, and AUC of 97%. We also found that this model has a much better performance than other models with Multinomial Logistic Regression (MLR) or Support Vector Machine (SVM). The resulting model from this study will be deployed to develop a college major recommendation system that can help the prospective students choose their majors during college admission process, particularly in the context of UII as per research roadmap.
Implementasi Wireless Sensor Network: Perbandingan Metode Inverse Distance Weight dan Ordinary Kriging untuk Estimasi Kadar Gas Amonia pada Lingkungan Peternakan
Authors: Ashari Imam Ahmad , Setiawan Retno Agus , Nisa' Khoriun
Published: December 2022

Wireless Sensor Network merupakan salah satu teknologi yang menjadi tren saat ini.  Salah satu sektor bidang yang banyak memanfaatkan penerapan teknologi ini adalah agrikultur. WSN banyak digunakan dalam mengatasi permasalahan di sektor agrikultur, salah satunya pada sektor peternakan. Permasalahan yang sering terjadi di industri peternakan adalah gas beracun yang timbul dari kotoran hewan ternak, yaitu amonia. Peningkatan konsentrasi gas amonia di peternakan dapat menyebabkan keracunan serta kematian unggas ketika mencapai kadar konsentrasi tertentu. Dengan pemanfaatan teknologi WSN kadar gas amonia di lingkungan peternakan dapat diketahui secara realtime. Hanya saja besarnya biaya menjadi kendala pemasangan perangkat WSN di lingkungan peternakan. Oleh karena itu pada penelitian ini di usulkan metode yang mampu mengetahui persebaran gas amonia hanya dengan menggunakan beberapa titik stasiun pemantauan. Metode interpolasi mampu mengatasi permasalahan tersebut. Metode interpolasi yang di pakai dalam penelitian ini adalah metode Inverse Distance Weight (IDW) dan Ordinary Kriging (OK). Dari hasil pengujian menggunakan model MAPE metode IDW menghasilkan nilai MAPE sebesar 23,45% dan metode OK mengasilkan nilai MAPE sebesar 24,95%. Dari hasil pengujian tersebut menunjukkan bahwa metode IDW lebih baik daripada metode OK dalam menentukan nilai taksiran gas amonia di suatu titik lokasi. Abstract Wireless Sensor Network is a technology that is becoming a trend today. WSN is widely used in overcoming problems in the subfield of agricultural, livestock. The problem that often occurs in the livestock industries is the poisonous gas that arises from livestock manure, namely amonia. Increasing the concentration of amonia in the farm can cause poisoning and death of poultry when it reaches a certain concentration. With the use of WSN technology, amonia gas levels in the livestock environment can be known in realtime. It's just that the high cost becomes an obstacle to installing WSN equipment in the farm environment. Therefore, this research proposes a method that is able to determine the distribution of amonia gas only by using several monitoring stations. The interpolation method is able to overcome these problems. The interpolation method used in this study is the Inverse Distance Weight (IDW) and Ordinary Kriging (OK) method. From the test results using the MAPE model, the IDW method produces a MAPE value of 23.45% and the OK method produces a MAPE value of 24.95%. From the test results, it shows that the IDW method is better than the OK method in determining the estimated value of amonia gas at a certain location.
Evaluasi SIMRS pada Manajemen Sumber Daya Manusia dengan Framework COBIT 5
Authors: Prabawa I Nyoman Angga , Widyantara I Made Oka , Sudarma Made
Published: December 2022

Salah satu prasyarat terhadap standar sebuah rumah sakit di Indonesia, termasuk di Rumah Sakit Umum Daerah (RSUD) Klungkung adalah adanya penggunaan Sistem Informasi Manajemen Rumah Sakit (SIMRS). Disamping itu, sumber daya manusia (SDM) adalah salah satu faktor yang memiliki peran penting dalam keberhasilan penerapan SIMRS. Dua pernyataan tersebut menjadi sasaran program bagi RSUD Klungkung yang berkeinginan untuk meningkatkan pemanfaatan teknologi dan SIMRS, serta kuantitas dan kualitas SDM RS. Untuk itu, dibutuhkan evaluasi pada setiap pihak yang terlibat dalam penerapan SIMRS di RSUD Klungkung. Selain untuk mengukur sejauh mana penerapan SIMRS yang telah berjalan, evaluasi ini juga bertujuan untuk melihat seberapa baik SDM yang terlibat di dalamnya telah dikelola. Proses evaluasi dilaksanakan dengan mengacu pada kerangka kerja Control Objectives for Information and Related Technology versi 5 (COBIT 5) pada sub domain proses Align, Plan, and Organise 07 (APO07), yakni Manage Human Resources. Metode pengukuran dan proses analisa penelitian didasarkan pada penilaian kuesioner setiap responden yang memiliki keterlibatan dalam penerapan SIMRS. Hasil penelitian menunjukkan bahwa penerapan SIMRS terhadap manajemen SDM berada pada tingkat kapabilitas 1 dengan nilai sebesar 74%. Analisa kesenjangan terhadap tingkat kapabilitas harapan yang berada pada tingkat kapabilitas 3 menghasilkan usulan rekomendasi perbaikan guna menyusun rencana strategis manajemen SDM serta meningkatkan pemanfaatan layanan SIMRS dan Teknologi Informasi (TI). AbstractHospital Management Information System (SIMRS) is one of the requirements for the hospital’s standards in Indonesia, including at the Regional Public Hospital (RSUD) of Klungkung. Additionally, human resources (HR) have the main role in SIMRS's successful implementation. The statements become the RSUD Klungkung targets to improve technology and SIMRS uses, also the quantity and quality of human resources. The SIMRS evaluation is needed for each party involved in its implementation. It is carried out to measure the SIMRS implements and to ensure human resources involved have been well managed. The evaluation process is measured using Control Objectives for Information and Related Technology 5th version (COBIT 5) framework within the sub domain process Align, Plan, and Organise 07 (APO07), namely Manage Human Resources. The analysis is based on an assessment of each respondent’s questionnaire who involved in the SIMRS implementation. The result shows that SIMRS implementation towards human resources management is at capability level 1 with a value of about 74%. Gap analysis of expected capabilities at capability level 3 provides recommendation improvements in order to increase the strategic plan for SDM management as well as SIMRS and Information Technology (IT) service.
Penerapan Metode Jaringan Syaraf Tiruan Backpropagation untuk Prediksi Tingkat Kemiskinan di Provinsi Jawa Tengah
Authors: Finaliamartha Dian , Supriyadi Didi , Fitriana Gita Fadila
Published: December 2022

Kemiskinan merupakan permasalahan yang semestinya dipandang sebagai suatu masalah sosial yang kompleks (multidimensional). Berdasarkan data dari Badan Pusat Statistik, presentase kemiskinan nasional pada Maret 2019 sebesar 9,41 persen. Sementara, Provinsi Jawa Tengah memiliki tingkat kemiskinan lebih tinggi dibandingkan dengan tingkat kemiskinan nasional yakni sebesar 10,8 persen. Tingginya tingkat kemiskinan dapat menyebabkan tindak kriminal, tingginya angka pengangguran, kekacauan sosial, politik dan lain sebagainya. Oleh karena itu, penelitian ini bertujuan untuk menganalisis tingkat kemiskinan dengan menentukan model yang tepat yang selanjutnya dapat digunakan untuk melakukan prediksi tingkat kemiskinan menurut kabupaten/kota di Provinsi Jawa Tengah. Penelitian ini menggunakan data yang diperoleh dari Badan Pusat Statistik Provinsi Jawa Tengah dari tahun 2010 sampai dengan 2019 yang terdiri dari data Laju Pertumbuhan Ekonomi, Tingkat Pengangguran Terbuka, Indeks Pembangunan Manusia, dan Tingkat Kemiskinan menurut kabupaten/kota. Metode yang digunakan yaitu Jaringan Syaraf Tiruan Backpropagation. Jaringan Syaraf Tiruan Backpropagation memiliki kinerja yang baik dalam menyelesaikan permasalahan, salah satunya masalah prediksi. Berdasarkan model arsitektur terbaik yang dihasilkan pada penelitian ini, yaitu model arsitektur 3-35-1 dapat dihasilkan tingkat akurasi sebesar 95,2% menggunakan MSE pada proses pengujian menggunakan data pengujian. Sehingga dapat disimpulkan bahwa Jaringan Syaraf Tiruan Backpropagation dengan menerapkan model yang tepat dapat menghasilkan tingkat akurasi yang baik yang selanjutnya dapat digunakan sebagai alternatif untuk melakukan prediksi tingkat kemiskinan menurut kabupaten/kota di Provinsi Jawa Tengah di masa mendatang. Abstract
Pendekatan Model ADDIE dan Framework MDA pada Gamifikasi Edukasi Pendidikan Seks Anak Usia Dini
Authors: Hayat Cynthia , Cancerita Stefani
Published: December 2022

Tujuan dari penelitian ini adalah  melakukan edukasi mengenai pendidikan seks pada anak pada usia dini sesuai dengan kategori umur yang ditentukan oleh WHO. Pendekatan gamifikasi digunakan dalam penyampaian informasi dikarenakan menunjukkan grafik positif dalam memotivasi meningkatkan lingkungan belajar yang positif. Kontribusi penelitian ini dengan mengembangangkan aplikasi  gamifikasi untuk edukasi pendidikan seks dilakukan dengan menggunakan model ADDIE dikombinasikan dengan pendekatan elemen-elemen pada framework MDA (Mechanics, Dynamics and Aesthetics). Tahapan-tahapannya dimulai dengan praproses potensi masalah, analysis, design, development, implementation, dan evaluation yang akhirnya akan menjadi final model setelah dilakukan uji respon pengguna terhadap aplikasi yang dikembangkan. Sedangkan fokus elemen pada framework  MDA yang digunakan diantaranya elemen mechanics meliputi; genre,goal, platform, rating, level, dan concept art, elemen dynamic meliputi; storyline, game controls, challenge, dan game rules, sedangkan elemen aesthetics meliputi; sensation, narrative, dan submission. Aplikasi game ini juga telah diujicobakan ke 45 user dengan hasil dari uji respon pengguna dari pengguna game dengan hasil persentase 89% (Sangat Baik). AbstractThe aim of this study is to educate children about sex education at an early age according to the age category determined by WHO. The gamification approach is used in delivering information because it shows a positive graphic in motivating to improve a positive learning environment. The contribution of this study by developing gamification applications for sex education education is carried out using the ADDIE model combined with the approach to elements of the MDA framework (Mechanics, Dynamics and Aesthetics). The stages begin with a preprocessing of potential problems, analysis, design, development, implementation, and evaluation which will eventually become the final model after testing the user response to the developed application. While the focus elements on the MDA framework used include mechanics elements including; genre, goal, platform, rating, level, and concept art, dynamic elements include; storyline, game controls, challenges, and game rules, while aesthetics elements include; sensation, narrative, and submission. User responses are carried out to find out that the application of gamification of sex education education in early childhood is empirically tested and measured at all stages of development in the ADDIE and MDA models. This game application has also been tested on 45 users by using the ideal score (criteria) which is used to calculate the rating scale or interval score and the total number of answers. The percentage result is 89% (Very Good).
Aplikasi Pencari Kerja Sampingan Berbasis Framework Flutter
Authors: Permatasari Desy Intan , Al Rasyid M. Udin Harun , Nusantoko Yuliarta Rizki
Published: December 2022

Indonesia memiliki jumlah penduduk lebih dari 250 juta jiwa, sehingga memungkinkan terjadinya masalah baru terutama pada era pandemi Covid-19. Masalah ketenagakerjaan yang semakin meningkat tersebut meliputi pengangguran, pengurangan jam kerja dan pemotongan gaji, serta kesenjangan sosial. Masalah tersebut mendorong penulis untuk membuat sebuah aplikasi pencari kerja sampingan yang mempertemukan penyedia pekerjaan sampingan dengan pencari pekerjaan sampingan dalam satu wadah digital dalam rangka mendorong terciptanya gotong royong ekonomi di dalam kehidupan masyarakat. Aplikasi yang akan dibuat oleh penulis menggabungkan fitur-fitur dari aplikasi Grab/Go-JEK dengan aplikasi E-commerce. Pekerjaan sampingan yang ditawarkan di dalam aplikasi  memungkinkan bersifat sederhana dan temporer. Pengguna aplikasi dapat memilih pekerjaan sampingan berdasarkan lokasi yang diinginkan. Kemudian, pengguna aplikasi juga dapat menyediakan lapangan pekerjaan sampingan untuk pengguna aplikasi lain sehingga masyarakat tidak akan kesulitan dalam mencari informasi pekerjaan sampingan secara konvensional/luring karena semuanya sudah tersedia dalam satu aplikasi. Hasil percobaan menunjukkan hasil skor rata-rata menunjukkan skor 70 dengan grade scale C dan masuk kategori OK. Artinya secara usability, aplikasi sudah berjalan dengan baik dan mudah digunakan pengguna.  AbstractIndonesia has more than 250 million people population, making it possible for occurring new problems, especially in the era of the Covid-19 pandemic. The increasing employment problems including unemployment, reduced working hours and salary cuts, and social inequality. This problem prompted the author to create a side job seeker application that brings side job providers and side job seekers together in one digital platform in order to encourage the creation of economic mutual cooperation in people's lives. The application that will be made by the author combines the features of the Grab/Go-JEK application with the E-commerce application. The side jobs which are offered in the application are simple and temporary. Users can choose a side job based on the desired location. Then, users can also provide side jobs for another users so that people will have no difficulty in finding conventional/offline side job information because everything is available in one application. The experimental results show the average score shows a score of 70 with a grade scale of C and is in the OK category. This means that in terms of usability, the application is running well and is easy for users to use.
Penerapan Metode K-Means Berbasis Jarak untuk Deteksi Kendaraan Bergerak
Authors: Sari Yuslena , Baskara Andreyan Rizky , Prakoso Puguh Budi
Published: December 2022

Deteksi kendaraan bergerak adalah salah satu elemen penting dalam aplikasi Intelligent Transport System (ITS). Deteksi kendaraan bergerak juga merupakan bagian dari pendeteksian benda bergerak. Metode K-Means berhasil diterapkan pada piksel cluster yang tidak diawasi untuk mendeteksi objek bergerak. Secara umum, K-Means adalah algoritma heuristik yang mempartisi kumpulan data menjadi K cluster dengan meminimalkan jumlah kuadrat jarak di setiap cluster. Dalam makalah ini, algoritma K-Means menerapkan jarak Euclidean, jarak Manhattan, jarak Canberra, jarak Chebyshev dan jarak Braycurtis. Penelitian ini bertujuan untuk membandingkan dan mengevaluasi implementasi jarak tersebut pada algoritma clustering K-Means. Perbandingan dilakukan dengan basis K-Means yang dinilai dengan berbagai parameter evaluasi yaitu MSE, PSNR, SSIM dan PCQI. Hasilnya menunjukkan bahwa jarak Manhattan memberikan nilai MSE = 1.328 , PSNR = 21.14, SSIM = 0.83 dan PCQI = 0.79 terbaik dibandingkan dengan jarak lainnya. Sedangkan untuk waktu pemrosesan data memperlihatkan bahwa jarak Braycurtis memiliki keunggulan lebih yaitu 0.3 detik. AbstractDetection moving vehicles is one of important elements in the applications of Intelligent Transport System (ITS). Detection moving vehicles is also part of the detection of moving objects. K-Means method has been successfully applied to unsupervised cluster pixels for the detection of moving objects. In general, K-Means is a heuristic algorithm that partitioned the data set into K clusters by minimizing the number of squared distances in each cluster. In this paper, the K-Means algorithm applies Euclidean distance, Manhattan distance, Canberra distance, Chebyshev distance and Braycurtis distance. The aim of this study is to compare and evaluate the implementation of these distances in the K-Means clustering algorithm. The comparison is done with the basis of K-Means assessed with various evaluation paramaters, namely MSE, PSNR, SSIM and PCQI. The results exhibit that the Manhattan distance delivers the best MSE = 1.328 , PSNR = 21.14, SSIM = 0.83 and PCQI = 0.79 values compared to other distances. Whereas for data processing time exposes that the Braycurtis distance has more advantages
Pengembangan Metode Interpolasi Splin Kubik Terapit dan Aplikasinya pada Masalah Pelacakan Trajektori Objek
Authors: Syafwan Elvathna , Syafwan Mahdhivan , Tresnawati Shandy
Published: December 2022

Interpolasi splin kubik merupakan sebuah metode pencocokan kurva yang sangat populer karena mudah diterapkan dan menghasilkan kurva yang mulus. Pada artikel ini dibahas pengembangan metode interpolasi splin kubik untuk syarat batas terapit yang diambil dari rumus eksplisit beda hingga dengan ketelitian orde lebih tinggi. Pengembangan metode ini diterapkan pada masalah pelacakan trajektori objek (object tracking). Secara khusus, masalah ini diujikan untuk splin kubik terapit orde dua, dan hasil interpolasinya dibandingkan dengan hasil pada splin kubik alami dan splin kubik terapit orde satu. Dari simulasi data trajektori yang dibangkitkan dari kurva spiral Archimedean, diperoleh nilai galat total untuk splin kubik alami, terapit orde satu dan terapit orde dua masing-masing sebagai berikut: ,  dan . Berdasarkan hasil tersebut, disimpulkan bahwa interpolasi splin kubik terapit orde dua yang dikembangkan pada artikel ini dapat menghasilkan trajektori objek yang lebih akurat dibandingkan splin kubik alami dan splin kubik terapit orde satu. AbstrractCubic spline interpolation is a very popular curve fitting method since it is easy to implement and produces a smooth curve. This article discusses the development of the cubic spline interpolation method for a clamped boundary condition taken from finite-difference explicit formulas with higher-order accuracy. The development of this method is applied to an object tracking problem. In particular, this problem is examined for second-order clamped cubic spline, and the interpolated results are compared with those for natural and first-order clamped cubic splines. From the simulation of trajectory data generated from the Archimedean spiral curve, the total error values for natural, first-order, and second-order clamped cubic splines are respectively ,  and . Based on these results, it is concluded that the second-order clamped cubic spline interpolation developed in this article can produce a more accurate object trajectory than the natural and first-order clamped cubic splines.
Pembentukan Daftar Stopword Goffman Transition Point dengan Pembobotan Emoji pada Analisis Sentimen di Twitter
Authors: Iqbal Rizky Maulana , Sari Yuita Arum , Santoso Edy
Published: December 2022

Analisis sentimen atau opinion mining merupakan proses mengekstrak data teks sehingga didapatkan informasi yang terkandung dalam suatu data. Dalam proses ekstraknya, terdapat tahapan stopword removal untuk menghapus kata-kata tidak penting dengan menggunakan stopword. Stopword telah banyak disediakan dalam digital library dengan berisikan kata-kata tidak penting, tetapi tidak semua kata-kata tersebut tidak penting dalam suatu data atau kasus tertentu. Penelitian ini berfokus pada perbandingan terhadap stopword Tala dengan pembentukan stopword dari data latih menggunakan metode Goffman Transition Point yang merupakan pengembangan dari metode Zipf Law dengan menggunakan metode klasifikasi K-Nearest Neighbour (KNN) serta menambahkan pembobotan emoji dalam proses pembobotannya. Hasil penelitian ini menunjukkan dengan pembentukan stopword menggunakan metode Zipf Law menunjukkan nilai akurasi sebesar 73,6% dan menggunakan pembobotan emoji dengan nilai K yang dipakai metode KNN K = 17 tetapi jika tidak menggunakan pembobotan emoji akurasinya menjadi 72.9%. Formula jarak yang digunakan adalah Cosine distance. Jika dengan menggunakan stopword Tala dengan parameter yang sama menghasilkan akurasi sebesar 73% dengan pembobotan emoji dan 71,9% tanpa pembobotan emoji. Berdasarkan hasil tersebut dapat disimpulkan bahwa pembentukan stopword dan pembobotan emoji dapat meningkatkan akurasi. AbtractSentiment analysis or opinion mining is the process of extracting text data, so that the information contained in the data is obtained. In the extracting process, there are stopword removal steps to remove unnecessary words by using a stopword. Many stopwords have been provided in digital libraries containing unimportant words, but not all of these words are not important in a particular data or case. This study focuses on the comparison of the stopword tala with the formation of a stopword from training data using the Goffman Transition Point which is a development of the Zipf Law method using the K-Nearest Neighbor (KNN) classification method and adding emoji weighting in the weighting process. The results of this study indicate that the formation of a stopword using the zipf law method shows an accuracy value of 73.6% and using emoji weighting with the K value used by the KNN method with K = 17 but if you don’t use emoji weighting the accuracy will be 72.9%. The distance formula used is the cosine distance. Using a stopword Tala with the same parameters produces an accuracy of 73% with emoji-weighted and 71.9% without emoji-weighted. Based on these results it can be concluded that the formation of stopwords and weighting of emojis can improve accuracy.
Sistem Monitoring Gelombang Osilometrik Menggunakan Arduino dan Smartphone
Authors: Isnandar Muhammad Fawwaz Dynoeputra , Prasetio Barlian Henryranu , Ichsan Mochammad Hannats Hanafi
Published: December 2022

Tekanan darah terjadi ketika arteri pembuluh darah dipompa oleh jantung ke seluruh tubuh. Ada dua elemen penting yang dipertimbangkan untuk mengukur tekanan darah, yaitu sistolik dan diastolik. Sistolik adalah nilai tekanan darah ketika otot-otot di jantung mendorong darah dari jantung itu sendiri ke dinding arteri. Sedangkan diastolik adalah nilai tekanan darah pada saat otot-otot ventrikel jantung dalam keadaan istirahat. Di era modern, pengukuran tekanan darah menggunakan sinyal listrik dari sensor dan dianalisis untuk mengetahui kesehatan organ tubuh. Namun dalam praktiknya, sistem pemantauan tekanan darah hanya dapat didengar oleh dokter, tanpa direkam untuk analisis lebih lanjut. Untuk mengakhiri hal ini, kami mengusulkan sistem pengukuran tekanan darah yang tidak hanya mengukur tekanan darah tetapi juga memantau sinyal osylometric ke dalam smartphone. Sinyal osylometric diproses oleh Arduino UNO R3 dari sensor Tekanan MPX55500DP. Arduino diprogram untuk mengaktifkan pompa udara dan memompanya ke dalam manset. Kemudian, sinyal osilometrik ditransmisikan ke aplikasi smartphone Android. Kami menggunakan Modul Bluetooth HC-05 untuk mengirimkan data dari Arduino ke Smartphone Android. AbstractBlood pressure occures when the arteries of blood vessels is pumped by the heart to the whole body. There are two important elements that is considered to measure the blood pressures, it is called systolic and diastolic. Systolic is a value of blood pressure when muscles on the heart pushes blood from the heart itself to the artery walls. Whereas, diastolic is a value of blood pressure when the heart ventrical muscles in the heart is resting. In the modern era, blood pressure measurement uses electrical signals from the sensor and be analyzed to determine the health of the organs. However, in practice, the blood pressure monitoring system only can be heard by doctor, without recorded it for more advanced analysis. To end this, we propose a blood preasure measurement system that is not only measure the blood pressure but it also monitors the the osylometric signal into smartphone. The osylometric signal is processed by Arduino UNO R3 from MPX55500DP Pressure sensor. The Arduino is programmed for enabling the air pump and pump it into cuff. Then, the osylometric signal is transmitted to a application of Android smartphones. We use a Bluetooth HC-05 Module to transmit data from the Arduino into Android Smartphone.
Implementasi Algoritme Clefia 128-Bit untuk Pengamanan Modul Komunikasi Lora
Authors: Iman Muhammad Fadhli , Kusyanti Ari , Primananda Rakhmadhanny
Published: December 2022

LoRa, yang berarti “Long Range” adalah sebuah sistem komunikasi nirkabel jarak jauh, yang dipromosikan oleh LoRa Alliance. LoRa merupakan sebuah protokol pengiriman data berdaya rendah yang menggunakan spektrum radio. LoRa memiliki tujuan agar dapat digunakan pada sebuah perangkat bertenaga baterai yang tahan lama, di mana konsumsi energi adalah yang paling utama. Namun, pada dasarnya modul komunikasi LoRa tidak memiliki sistem keamanan untuk melindungi pesan saat melakukan transfer data, dan hal itu menyebabkan modul LoRa sangat rentan terhadap serangan yang dilakukan oleh pihak yang tidak bertanggung jawab. Salah satu cara untuk mengamankan modul komunikasi LoRa adalah dengan menerapkan sistem keamanan yang dapat mencegah pihak yang tidak bertanggung jawab membaca pesan yang dikirim, yaitu dengan menggunakan metode enkripsi. Metode enkripsi yang akan digunakan adalah algoritme Clefia 128-bit. Dari hasil pengujian yang dilakukan pada penelitian, algoritme Clefia 128-bit terbukti dapat mencegah serangan sniffing dan known-plaintext-attack. Pada pengujian serangan sniffing, penyerang hanya mampu mendapatkan pesan yang masih berbentuk ciphertext sehingga pesan asli tidak dapat dibaca. Pada pengujian serangan known-plaintext-attack, penyerang gagal menemukan key asli yang digunakan pada algoritme Clefia 128-bit, sehingga penyerang gagal melakukan serangan ke sistem. AbstractLoRa, which means “Long Range” is a long range wireless communication system, promoted by the LoRa Alliance. LoRa is a low-power data transmission protocol that uses the radio spectrum. LoRa aims to be used in a battery-powered device that lasts a long time, where energy consumption is the most important. However, basically the LoRa communication module does not have a security system to protect messages when transferring data, and that causes the LoRa module to be very vulnerable to attacks by irresponsible parties. One way to secure the LoRa communication module is to implement a security system that can prevent irresponsible parties from reading the messages sent, by using the encryption method. The encryption method that will be used is the 128-bit Clefia algorithm. From the results of the tests carried out in the study, the Clefia 128-bit algorithm is proven to be able to prevent sniffing and known-plaintext-attack attacks. In sniffing attacks test, attackers are only able to get messages that are still in the form of ciphertext so that the original message cannot be read. In the known-plaintext-attack attack test, the attacker failed to find the original key used in the 128-bit Clefia algorithm, so the attacker failed to attack the system.
Current Results of the Survey of Medieval Architectural Objects of the Village of Keshta
Authors: Tesaev Zelimkhan Adamovich
Published: December 2022

The object of research in the article is a historical and architectural monument located near the tower village of Keshta in the Zumsoy region (Itum-Kalinsky district of the Chechen Republic), on the edge of the Bavn-Duk ridge, washed on both sides by the Zumsoy-erk and Keshta-erk rivers. According to oral data and the Kitab narrative, the investigated object (the wall) is a remnant of the former barracks complex, destroyed by the Asian conqueror Amir Timur during the campaign against the Simsim ulus (Chechnya) in 1395–1396. We carried out reconnaissance work to identify the existing traces of the foundation and the wall of the desired complex of stone structures using a geodetic device and plotting coordinates on a satellite map; the obtained data was plotted. The towers of the village of Keshta were also investigated, as a result of which it was revealed that some stones used in construction (in particular, fragments of arched window-sill stones) have signs of secondary, moreover, non-targeted use in construction.
Features of Managing the Preparation of the Bachelor's Final Qualification Work in the Form of a Startup
Authors: Kruglova Marina Sergeevna , Shuvanov Igor' Borisovich , Shuvanova Viktoriya Petrovna , Kruglova Lorina Ermondovna
Published: December 2022

The subject of the study is a set of managerial relations that arise in the process of organizing student participation in the creation of a startup based on educational institutions of higher education as a final qualifying work. The object of the research is the educational activity of a higher educational institution. The authors consider in detail the life cycle of developing a bachelor's thesis in the form of a startup in the light of development trends in the design and innovation activities of university students. Particular attention is paid to the most correct sequence of stages when writing a WRC-Startup. The article analyzes and summarizes the experience of implementing and commercializing a start-up project based on Sochi State University. The main result of the study is the identification of algorithms and technologies for managing the preparation of the WRC in the form of a startup. A special contribution of the authors to the study of the topic is the formation of an information model for managing the participation of a bachelor student in the program "Startup as a Diploma". The novelty of the study lies in the systematization of the priority issues of developing a student startup project for defense as a bachelor's thesis. Based on the results of the study, it is proposed to conduct creative business games for undergraduate students in order to develop start-up thinking with the prospect of future participation in the design and innovation activities of a higher educational institution.
Bate-papo com Kory Stamper
Authors: Stamper Kory , Kleppa Lou-Ann
Published: December 2022

Como parte da programação do evento Abralin em Cena 16, que tinha como tema a popularização da Linguística, Kory Stamper foi entrevistada (em inglês). Uma versão editada da entrevista concedida está publicada no canal do Youtube da Abralin. Na entrevista, Kory Stamper conta sobre sua experiência na popularização da Linguística como blogueira, escritora, podcaster e especialista numa série produzida pela TV. Ela conta sobre os desafios que cada mídia oferece e alerta o iniciante para o trabalho administrativo que a popularização implica. Para Kory Stamper, o desejo de se comunicar com um público mais geral que os pares é fundamental para a popularização. Nessa comunicação, o autor coloca-se a si mesmo no discurso como mediador entre a ciência e o público não especializado. Fazer essa mediação pressupõe entusiasmo pela Linguística para fazê-la chegar a quem nunca teve notícia dessa ciência.
PRINCIPLES FOR THE TRANSFORMATION OF HIGHER EDUCATION: CONTENT ANALYSIS AND REGIONAL EXPERIENCE
Authors:   Kumertau Branch of Orenburg State University, Orenburg, Russia, Sazonova T.V.
Published: December 2022

Analysis of the principles of transformation of higher education has become relevant in connection with global changes in the socio-cultural, geopolitical and economic situations. At the state level, a set of key principles of the new national system of higher education is presented. The complex includes the principles of ensuring technological sovereignty, openness, fundamentality, practicality and flexibility. To date, interpretations of synonymous / analogous principles of education have been established, a resource of knowledge and ideas of their effectiveness has been accumulated. In a number of cases, they were considered as informal criteria for the quality of higher education, implicitly manifested in the rationale for programs and training plans, in educational projects as “options” for the successful achievements of the national higher education. A comparative analysis of the current interpretations of the key principles determined their differences from the previously known ones not so much in their meaningful interpretation, but in the level of demand and the nature of the generating factors — socio-economic, geopolitical, cultural-historical, production-but-technological. The key principles for the transformation of higher education represent a concentrate of the country’s challenges and requests for domestic higher education. The research methods were analysis of normative documents, comparative and critical analysis of scientific publications, synthesis of scientific opinions and professional education experience, formulation and proof of scientific hypotheses. As materials for the study, normative and legislative documents of the Russian Federation, publications of leading scientists in the field of educational policy, and experience in educational activities were used. The attention of the scientific and pedagogical community is drawn to some mechanisms for their implementation in domestic regional universities and their branches. The experience of the development of the Orenburg State University and the Kumertau branch is shown in terms of the implementation of key principles. Transformation of education is impossible without programmatic state support, without relying on the resources of stakeholders, actively attracting opportunities and funds from grants and the program of the Federal level.
VALUE SELF‑DETERMINATION OF A TEACHER IN PROFESSIONAL ACTIVITY
Authors:   Orenburg State Pedagogical University, Orenburg, Russia, Matvievskaya E.G. , Ganaeva E.A. ,   Orenburg State Pedagogical University, Orenburg, Russia, Saitbaeva E.R. ,   Orenburg State Pedagogical University, Orenburg, Russia
Published: December 2022

The modern educational environment needs appropriate professionals in their field — teachers, teachers, educators. The rapidly developing world dictates its own rules. These rules make adjustments in all areas of public activity. Thus, new global trends prepare the ground for the implementation of new activities to develop the value self­determination of the teacher’s professional activity. Every academic year, a generation of young teachers comes to educational institutions who need correction and influence on their personal sphere. First of all, the value self-determination of a teacher’s professional activity is influenced by the surrounding world with its own tendencies and demands. There are many requirements for the personality of the teacher. Requirements such as: be creative, be able to adapt to any situation, immediately resolve conflict issues. And secondly, the immediate environment — the teaching staff and management — influences the personal sphere. The influence on the personal sphere of young specialists is carried out by the mentor and the leadership of the school. In the self-development of a teacher, the reading of scientific pedagogical literature has an impact on his personal sphere and value self-determination in the profession. It is in these literary sources that we can meet the names of important scientists: teachers, philosophers, psychologists, sociologists who dealt with the problem of the value self-determination of a teacher. This literature also reflects the significance of the teacher’s personality for modern society. The Professional Teacher Standard, in part 4.3, paragraph 17, describes: “The ability to form and develop universal learning activities, patterns and values of social behavior, behavior skills in the world of virtual reality and social networks, multicultural communication skills and tolerance, key competencies (according to international standards ) etc. “is the task of the teacher. Also, the teacher’s task is to create a favorable background for the development of value self-determination among students of an educational organization. This is defined by the document — “The concept of spiritual and moral development and education of the personality of a citizen of Russia.” The authors are A.Ya. Danilyuk, A.M. Kondakov, V.A. Tishkov. The most important goal of modern domestic education and one of the priority tasks of society and the state is education, social and pedagogical support for the formation and development of a highly moral, responsible, creative, initiative, competent citizen of Russia.
GENERAL CIVILIZATIONAL CRISES AND CRISES IN MODERN EDUCATION
Authors:   Bashkir State University, Ufa, Russia, Gayazov A.S.
Published: December 2022

The processes of development of education in the conditions of the emergence of various crises and other phenomena require research. Crises, including axiological crisis, identity crisis, collapse, explosion, madness, dead ends and traps of education, etc., have different content and influence on the real processes of education, different degrees of manifestation depending on many factors and reasons. Each of these types of crisis is a real possibility in the world, and none of the states can protect their national education system from their appearance. Some of these phenomena are from the field of constantly used, some are only alarming symptoms of impending upheavals. For the first time, I conducted a systematic analysis of these phenomena. Particular attention is paid to the cultural­anthropological and cultural-historical aspects of phenomena, their transformation as an objective adequate response to changes in modern education. In one case, crises affect the foundations of the development of education itself as a system, in the other case, they directly affect the effectiveness of the process of educating a person. The reasons for the emergence of crises and ways to counter their manifestations are considered. Among the most important actions that can protect the education system is its aspiration to the future, the implementation of the ideas of advanced education in society.
VARIATIVE CONTENT MODEL OF THE WORKBOOK FOR GRAPHIC DISCIPLINES WITH INFOGRAPHIC ELEMENTS
Authors:   Orenburg State University, Orenburg, Russia, Shevchenko O.N. E.A. , Taranovskaya E.A. ,   Orenburg State University, Orenburg, Russia, Vanshina E.A. ,   Orenburg State University, Orenburg, Russia
Published: December 2022

Modern learning technologies are increasingly using the capabilities of the digital educational environment, in the content of which consists of various types of presentations, training videos, sets of slides and illustrations play a significant role. When conducting an observational experiment and recording the data of intermediate certifications of students, it was revealed that visual means of presenting material definitively help the development of perception of spatial objects, their relative position and transformation. However, the results of such training are often not consolidated in the form of educational achievements in the form of skills, abilities, and mastery of elements of general professional competencies. The methodological support of the educational process in order to improve the quality of education can be supplemented by a workbook, which combines the visual perception of the material with the need to consolidate skills when working directly with a pencil in a notebook. Infographics of slide pages, formed while taking into account the principles of fundamentality, purposefulness and adaptability, allows you to activate visual memory, increase interest in the discipline, “keep” attention and teach you to focus on the main, key positions of the educational material. The principles of visibility, uniformity, continuity in the selection of material ensure a solid development of general professional competencies, which is relevant in light of new accreditation indicators for universities. A variative model of the content of the engineering graphics workbook has been developed, which defines the types, tasks, functions, principles, stages and approaches to the selection of the subject content of the discipline. The variability of the model allows using the most significant components to take into account the peculiarities of the contingent of students. The model can be applied to work on this type of methodological development to improve efficiency in teaching other disciplines at the university.