bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of K Nearest Neighbor in Detecting Heart Disease with Various Training Data
Authors: Kosasih Rifki , Mardhiyah Iffatul
Published: August 2023

Salah satu organ penting dalam tubuh manusia adalah jantung, Jika jantung mengalami gangguan maka dapat menyebabkan penyakit jantung. Untuk mendeteksi adanya penyakit jantung biasanya dilakukan dengan berkonsultasi dengan tenaga medis. Akan tetapi dengan semakin banyaknya pasien di rumah sakit akan dapat memperlambat pendeteksian penyakit jantung. Oleh karena itu dibutuhkan suatu sistem yang dapat membantu tenaga medis dalam mempercepat pendeteksian penyakit jantung. Dalam penelitian ini diusulkan untuk menggunakan pendekatan machine learning seperti metode K Nearest Neighbor (KNN) dalam mendeteksi penyakit jantung. Data yang digunakan sebanyak 1025 pasien dengan 13 fitur seperti umur, jenis kelamin, rasa sakit di dada, tekanan darah saat sedang istirahat, kadar kolesterol, gula darah, hasil elektrografik saat sedang istirahat, detak jantung maksimal, jika mengalami nyeri dada saat latihan, depresi yang diinduksi oleh latihan relatif, kemiringan puncak ST segmen, jumlah pembuluh darah yang berwarna setelah diwarnai flourosopy dan tipe kerusakan pembuluh darah. Pada penelitian ini dilakukan tiga skema pembagian data latih dan data uji dengan rasio 60:40, 70:30 dan 80:20. Berdasarkan hasil pengujian diperoleh bahwa tingkat akurasi, presisi dan recall tertinggi terjadi Ketika rasio data latih dan data uji 70:30 yaitu sebesar 97,0779% untuk akurasi, 97,9166% untuk presisi dan 95,9183% untuk recall.One of the important organs in humans is the heart. If the heart is disturbed, it can cause heart disease. To detect the presence of heart disease is usually done in consultation with doctor. However, with the increasing number of patients in the hospital, it will be able to slow down the detection of heart disease. Therefore, we need a system that can assist doctors in accelerating the detection of heart disease. In this study, we propose to use a machine learning approach i.e., K Nearest Neighbor (KNN) method in detecting heart disease. The data used were 1025 patients with 13 features i.e., age, gender, chest pain, blood pressure, cholesterol, blood sugar, electrographic results, maximum heart rate, if you experience chest pain during exercise, depression which exercise-induced relative, peak slope, number of blood vessels after fluoroscopy and type of vessel damage. In this study, we have three schemes in divide training data and test data with ratios of 60:40, 70:30 and 80:20. Based on the test results, it was found that the highest levels of accuracy, precision and recall occurred when the ratio of training data and test data was 70:30, which was 97.0779% for accuracy, 97,9166 for precision and 95,9183% for recall.
Clustering Reservoirs in Indonesia Based on Area and Volume Using the K-Means Algorithm
Authors: Shofinurdin Shofinurdin , Khaerani Afifah , Wibowo Arief
Published: August 2023

Embung adalah cekungan yang digunakan untuk mengatur dan menampung aliran hujan dan meningkatkan kualitas air di badan air yang terkait. Embung juga digunakan untuk menjaga kualitas air tanah, mencegah banjir, menjaga estetika, dan mengairi. Terdapat 1.446 embung yang tersebar di seluruh wilayah Indonesia yang mempunyai luas dan volume yang beragam. Penelitian ini bertujuan untuk mengelompokkan embung di Indonesia berdasarkan luas dan volume menggunakan metode data mining klastering dengan algoritma K-Means. Sebelumnya, pengklasteran embung hanya dilakukan berdasarkan: tujuan pembangunan, penggunaan, aliran air, dan bahan pembentuknya. Hasil penelitian menunjukkan bahwa pengelompokkan embung yang terbaik adalah menjadi 4 klaster dengan rincian klaster kecil: 1.414 embung, klaster sedang: 24 embung, klaster tinggi: 7 embung dan klaster sangat tinggi: 1 embung.An embung (Reservoir) is a basin used to control and collect rainfall runoff and improve the water quality in the associated water bodies. Embungs are utilized for preserving groundwater quality, preventing floods, enhancing aesthetics, and facilitating irrigation. There are 1,446 embungs scattered across the entire territory of Indonesia, varying in size and volume. This study aims to cluster the embungs in Indonesia based on their size and volume using the clustering data mining technique with the K-Means algorithm. Previously, embung clustering was only performed based on their purpose of construction, usage, water flow, and constituent materials. The research findings indicate that the optimal clustering of embungs consists of four clusters, with the following details: small cluster (1,414 embungs), medium cluster (24 embungs), high cluster (7 embungs), and very high cluster (1 embung). This research will prove beneficial in the fields of data mining and hydrology.
Early Prediction System for Employee Attrition Company “XYZ” Using Support Vector Machine Algorithm
Authors: Medyanti Wikke Alvina , Faisal Muhammad
Published: August 2023

Pergantian karyawan merupakan masalah yang signifikan bagi organisasi karena dapat berdampak negatif pada produktivitas dan kinerja. Dalam penelitian ini, dikembangkan sebuah model Support Vector Machine (SVM) untuk memprediksi pergantian karyawan berdasarkan dataset yang berisi berbagai atribut karyawan. Dataset tersebut telah melalui tahap pra-pemrosesan dengan melakukan pemetaan nilai-nilai kategorikal dan pengkodean one-hot. Fitur-fitur kemudian dibagi menjadi data latih dan data uji, serta dilakukan penskalaan menggunakan StandardScaler. Hasil penelitian menunjukkan bahwa model mencapai akurasi sebesar 88,4%. Presisi untuk karyawan yang tidak mengalami pergantian (non-attrition) tinggi, yaitu sebesar 89,3%, menunjukkan kemampuan model dalam mengidentifikasi dengan benar karyawan yang kemungkinan akan bertahan. Namun, presisi untuk karyawan yang mengalami pergantian (attrition) lebih rendah, sebesar 69,2%, mengindikasikan adanya ruang untuk perbaikan dalam mengidentifikasi karyawan yang berisiko mengalami pergantian. Recall untuk karyawan non-attrition mencapai 98,4%, menunjukkan kemampuan yang tinggi dalam mengklasifikasikan dengan benar, sedangkan recall untuk karyawan attrition sebesar 23,1%. Nilai F1-score juga mencerminkan kinerja yang lebih baik untuk karyawan non-attrition dibandingkan karyawan attrition. Secara keseluruhan, model SVM menunjukkan potensi dalam memprediksi pergantian karyawan, namun perlu dilakukan pengembangan lebih lanjut untuk meningkatkan identifikasi karyawan yang berisiko, sehingga memberikan wawasan berharga dalam pengambilan keputusan SDM dan strategi retensi.Employee attrition is a significant concern for organizations as it can have a negative impact on productivity and performance. In this study, a Support Vector Machine (SVM) model was developed to predict employee attrition based on a dataset containing various employee attributes. The dataset was preprocessed by mapping categorical values and performing one-hot encoding. The features were then split into training and testing sets, and scaled using the StandardScaler.The results showed that the model achieved an accuracy of 88.4%. The precision for non-attrition employees was high at 89.3%, indicating the model's ability to correctly identify employees who are likely to stay. However, the precision for attrition employees was lower at 69.2%, suggesting room for improvement in identifying employees at risk of attrition. The recall for non-attrition employees was 98.4%, indicating a high ability to correctly classify them, while the recall for attrition employees was 23.1%. The F1-score also reflected a better performance for non-attrition employees compared to attrition employees. Overall, the SVM model showed promise in predicting employee attrition, but further enhancements are needed to improve the identification of employees at risk, thus providing valuable insights for HR decision-making and retention strategies.
Prediction of Smooth Rusunawa Rental Payments Using the Backpropagation Algorithm and Decision Tree
Authors: Siahaan Mangapul
Published: August 2023

Permasalahan pemukiman yang sering terjadi diperkotaan adalah keterbatasan lahan untuk tempat tinggal sedangkan pertumbuhan penduduk semakin berkembang sehingga diperlukan prasarana tempat tinggal untuk masyarakat yang golongan ekonomi kurang mampu. Kelancaran pembayaran uang sewa rumah susun masih menjadi kendala sehingga diperlukan suatu sistem untuk mengklasifikasi dan prediksi kemampuan bayar oleh masyarakat. Tujuan penelitian ini adalah untuk menganalisa algoritma yang bagus dengan nilai akurasi yang tinggi agar bisa diimpelementasikan pada sistem. Sumber dataset yang digunakan dari database aplikasi sewa rumahsusun dengan variabel yang digunakan adalah nobriva, pekerjaan, statuspekerjaan, gaji, hargasewa dan keterangan. Algoritma yang digunakan dalam penelitian ini adalah Decision Tree dan Backpropagation dengan arsitektur 5-5-2. Berdasarkan hasil uji maka didapat nilai akurasi Decision Tree sebesar 90%, sedangkan nilai akurasi dengan algoritma Backpropagation dan arsitektur jumlah 5 node layer, 5 node hiden layer dan 2 node output layer dengan menggunakan activation sigmoid maka menghasilkan nilai akurasi sebesar 88.39%.Settlement problems that often occur in urban areas are limited land for residence while population growth is growing, so residential infrastructure is needed for economically disadvantaged people. The smooth payment of rent for flats is still an obstacle, so a system is needed to classify and predict the ability to pay by the public. This study aims to analyze a good algorithm with a high accuracy value so that it can be implemented in the system. The dataset source used is the flat rental application database, with the variables used are nobriva, occupation, employment status, salary, rental price, and description. The algorithm used in this research is Decision Tree and Backpropagation with 5-5-2 architecture. Based on the test results, the accuracy value of the Decision Tree is 90%. In contrast, the accuracy value with the Backpropagation algorithm and architecture consists of 5 node layers, 5 hidden layer nodes, and 2 output layer nodes using sigmoid activation, resulting in an accuracy value of 88.39%.
Implementation of Penetration Testing on the Website Using the Penetration Testing Execution Standard (PTES) Method
Authors: Kurniawan Bagus , Ruslianto Ikhwan
Published: August 2023

Indonesia merupakan salah satu negara yang memiliki tingkat kejahatan siber yang sangat tinggi di dunia. Masalah tersebut timbul akibat sumber daya manusia yang kurang memadai dan kurangnya perawatan berkala pada sistem digital di Indonesia. Salah satu perawatan yang dapat dilakukan adalah Penetration Testing sebagai evaluasi sistem digital agar lebih baik dan terhindar dari serangan siber. Metode yang dapat membantu dalam melakukan Penetration Testing adalah dengan metode Penetration Testing Execution Standard (PTES). Hasil yang didapatkan dari penelitian ini bahwa website https://k*****.go.id memiliki tiga belas kerentanan. Sehingga dari tiga belas kerentanan yang didapatkan dilakukan dengan tiga jenis serangan yang berbeda yaitu Clickjacking, SQL Injection, dan Cross Site Scripting (XSS). Ketiga jenis serangan tersebut hanya serangan Clickjacking yang berhasil dilakukan pada website https://k*****.go.id. Diperoleh kesimpulan bahwa website memiliki risiko kerentanan dan terjadinya serangan bernilai sedang dilihat berdasarkan OWASP ZAP Risk Rating Methodology.Indonesia is a country that has a very high cybercrime rate in the world. This problem arises due to inadequate human resources and a lack of regular maintenance of digital systems in Indonesia. One of the treatments that can be done is Penetration Testing as an evaluation of digital systems to make them better and avoid cyber attacks. A method that can assist in carrying out Penetration Testing is the Penetration Testing Execution Standard (PTES) method. The results obtained from this research are that the website https://k*****.go.id has thirteen vulnerabilities. So that the thirteen vulnerabilities found were carried out with three different types of attacks, namely Clickjacking, SQL Injection, and Cross Site Scripting (XSS). The only three types of attacks are clickjacking attacks that were successfully carried out on the https://k*****.go.id website. It is concluded that the website has a risk of vulnerability and the occurrence of attacks is worth being seen based on the OWASP ZAP Risk Rating Methodology.
Usability Evaluation Analysis on iKalbar Application Using Heuristic Evaluation Method, Performance Measurement, and User Experience Questionnaire (UEQ)
Authors: Widyasari Neta Ayunda , Sari Renny Puspita , Febriyanto Ferdy
Published: August 2023

Tingkat efektifitas dan efisiensi suatu aplikasi dapat mempengaruhi tingkat kepuasan pengguna dalam menggunakan suatu aplikasi, sehingga perlu dilakukan sebuah evaluasi. Aplikasi iKalbar merupakan aplikasi perpustakaan berbasis digital yang sebelumnya tidak pernah dilakukan evaluasi sehingga evaluasi ini berguna untuk meningkatkan user experience pengguna. Metode yang digunakan ialah Heuristic Evaluation, Performance Measurement, dan User Experience Questionnaire. Hasil penelitian ini menyebutkan jika terdapat 7 prinsip heuristic yang masuk kedalam skala minor usability atau perbaikan dalam kategori rendah. Nilai rata-rata tingkat efektifitas responden mahir sebesar 100% dan responden pemula 89%, sedangkan untuk nilai rata-rata tingkat efisiensi responden mahir mendapatkan hasil 100% dan responden pemula 26%. Hasil dari kuesioner UEQ menunjukkan jika skala kejelasan bernilai 1.13, Skala efisiensi bernilai 0.37. Skala ketepatan bernilai 1.11. Skala stimulasi bernilai 1.05 dan skala kebaruan bernilai 0.54.The level of effectiveness and efficiency of an application can affect the level of user satisfaction in using an application, so an evaluation is needed. The iKalbar application is a digital-based library application that has never been evaluated before, so this evaluation is useful for improving user user experience. The method used is Heuristic Evaluation, Performance Measurement, and User Experience Questionnaire. The results of this study state that there are 7 heuristic principles that are included in the minor usability scale or improvement in the low category. The average value of the effectiveness level of the expert respondents is 100% and the novice respondents are 89%, while the average value of the efficiency level of the expert respondents is 100% and the novice respondents are 26%. The results of the UEQ questionnaire show that if the attractiveness scale is 1.13, the efficiency scale is 0.37. The perspicuity scale is 1.11. The stimulation scale is 1.05 and the novelty scale is 0.54.
Analysis of the Development of Digital Assets (Cryptocurrency) in Indonesia in 2022/2023
Authors: Alfariz Mohamad Ananda , Pratiwi Nunik
Published: August 2023

Cryptocurrency merupakan sebuah merupakan sebuah aset semacam mata uang yang dapat dijadikan alat tukar dalam jual beli dan juga dapat diinvestasikan. Mata uang kripto ini memiliki banyak sekali jenisnya dengan nilai yang berbeda-beda. Beberapa mata uang kripto memiliki harga yang cukup tinggi dan bisa terjadi penurunan maupun kenaikan nilai dengan begitu cepat. Oleh sebab itu mata uang kripto menjadi salah satu aset yang banyak diminati oleh para investor. K-means clustering adalah algoritma yang digunakan untuk mengelompokan data ke dalam cluster berdasarkan kesamaan atributnya. Tujuan penelitian ini adalah untuk menganalisa perkembangan cryptocurrency di Indonesia. Data-data yang didapat dari para investor tersebut akan diolah menggunakan k-means clustering dan dibagi menjadi beberapa cluster yang menunjukan apakah cryptocurrency di indonesia mengalami perkembangan atau sebaliknya. Proses perhitungan jarak terbagi menjadi dua proses yaitu menggunakan proses manual dengan menggunakan excel dan proses menggunakan rapidminner. Untuk mencari jumlah cluster yang tepat untuk clustering digunakan rapidminner sehingga hasilnya pembagian menjadi 3 kelompok adalah yang paling terbaik. Seteah proses perhitungan manual dan menggunakan rapidminner mayoritas investor terdapat pada cluster 2 yang berarti investasi mata uang kripto di indonesia mengalami cukup berkembang.Cryptocurrency is an asset that is a kind of currency that can be used as a medium of exchange in buying and selling and can also be invested. This cryptocurrency has many types with different values. Some cryptocurrencies have quite high prices and can decrease or increase in value very quickly. Therefore, cryptocurrencies are one of the assets that are in great demand by investors. Cryptocurrencies also have a fairly high risk because they have a rapid increase in value, of course the risk is a rapid decline in price.K-means clustering is an algorithm used to group data into clusters based on the similarity of their attributes. The purpose of this research is to analyze the development of cryptocurrencies in Indonesia and investors who invest, especially Indonesian investors. The data obtained from these investors will be processed using k-means clustering and divided into several clusters that show whether cryptocurrency in Indonesia is developing or vice versa. The distance calculation process is divided into two processes, namely using a manual process using excel and using rapid minner. To find the number of clusters that are suitable for clustering, rapidminner is used so that the results of dividing into 3 groups are the best. After the manual calculation process and using rapidminner, the majority of investors are in cluster 2, which means that crypto currency investment in Indonesia has developed quite a bit.
Collaboration of Nazief & Adriani Stemming Algorithm with PostgreSQL Queries Parsing Method to Search for New Study Program Names
Authors: Chaidir Indra
Published: August 2023

Penolakan usulan nama baru program studi vokasi pada Aplikasi Silemkerma di Direktorat Jenderal Pendidikan Tinggi Vokasi, Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi sering terjadi karena terdapat kemiripan nama program studi yang diusulkan dengan nama program studi yang sudah ada di dalam basis data. Banyak data tidak ditemukan karena filter data menggunakan metode konvensional dalam kasus ini menggunakan operator ILIKE dengan pola wildcard character % (percent), sedangkan data yang dicari tersedia di dalam basis data. Ini terjadi dikarenakan operator ILIKE tidak dapat membaca perubahan kata dari leksem/akar kata (root word) seperti "pengelolaan" dengan memiliki prefix dan suffix, dengan akar kata "kelola". Mengatasi permasalahan ini, penulis memanfaatkan Algoritma Nazief & Adriani untuk stemming agar mendapatkan leksem dari kalimat yang dimasukan. Hasil algoritma tersebut terus diolah menggunakan Metode Parsing Queries, salah satu metode Full Text Search yang ada pada basis data PostgresQL. Hasil penelitian ini dapat diimplementasikan pada Aplikasi tersebut.Rejection of new vocational study program name proposals in Silemkerma Application at the Directorate General of Vocational Higher Education, Ministry of Education, Culture, Research, and Technology often occurs because there is a similarity between the proposed study program name and the existing study program name in the database. Many data are not found because the data filter uses conventional methods in this case using the ILIKE operator with the wildcard character pattern % (percent), while the data sought is available in the database. This is because the ILIKE operator cannot read word changes from lexemes/root words such as "pengelolaan" which has a prefix and suffix, with the root word "kelola". Overcoming this problem, the author utilizes the Nazief & Adriani Algorithm for stemming in order to get lexemes from the sentences entered. The results of the algorithm are then processed using the Parsing Queries Method, one of the Full Text Search methods available in the PostgresQL database. The results of this research can be implemented in the application.
Web-based Log Analysis System for Website Attack Detection using Boyer-Moore Algorithm and Regular Expression Technique
Authors: Addarda Izzeldin , Maesaroh Siti
Published: August 2023

Di era digitalisasi saat ini, ancaman serangan siber terus meningkat secara global. serangan siber merujuk pada tindakan kejahatan yang dapat menyebabkan gangguan, pemalsuan dan pencurian informasi berharga dari aplikasi atau situs web. Bersumber pada halaman suara.com terdapat lebih dari 700 juta serangan siber yang berlangsung di Indonesia pada tahun 2022 yang diikuti dengan kebocoran informasi kesehatan e-HAC. Hal tersebut berkaitan dengan peranan dari web server guna melayani permintaan HTTP (Hypertext Transfer Protocol). Selain itu, web server bertugas untuk menerjemahkan kode-kode dinamis menjadi kode-kode statis dalam suatu laman website. Berdasarkan hal tersebut dibuatlah sistem log analysis menggunakan algoritma boyer moore dan teknik regular expressions sebagai metode pencarian adanya indikasi serangan website dengan hasil bahwa algoritma boyer moore dan teknik regular expressions dapat menemukan indikasi jenis serangan terhadap website dengan baik dan relatif cepat karena hanya membutuhkan waktu 32.9 detik untuk menganalisis 1553 baris data yang berasal dari log file. Dengan demikian administrator web server dapat dengan mudah mencari atau melihat jenis upaya serangan website terhadap web server oleh pelaku kejahatan siber.  In the current era of digitalization, the threat of cyber attacks continues to increase globally. cyberattacks refer to criminal acts that can lead to tampering, falsification, and theft of valuable information from applications or websites. Sourced on the Suara.com page, there were more than 700 million cyber attacks that took place in Indonesia in 2022, followed by the leak of e-HAC health information. This relates to the role of the web server to serve HTTP (Hypertext Transfer Protocol) requests. In addition, the web server is tasked with translating dynamic codes into static codes on a website page. Based on this, a log analysis system was created using the boyer moore algorithm and regular expressions techniques as a search method for indications of website attacks with the result that the boyer moore algorithm and regular expressions techniques can find indications of types of attacks on websites properly and relatively quickly because it only takes 32.9 seconds to analyze 1553 rows of data coming from the log file. Thus, web server administrators can easily search for or view types of website attack attempts against web servers by cybercriminals.
Implementation of the Multimedia Development Life Cycle in Making Educational Games About Indonesia
Authors: Sodikin Sodikin , Efendi Yasin , Yatimollah Yatimollah
Published: August 2023

Pada materi pembelajaran pengenalan tentang Indonesia, seperti peta, batas-batas wilayah, pembagian waktu dan beragam budaya di Indonesia memerlukan media pembelajaran yang tepat untuk memberikan ilustrasi yang menarik untuk anak-anak Sekolah Dasar. Dalam menjelaskan pengenalan tentang Indonesia masih menerapkan pendekatan yang secara teoritis, seperti penggunaan buku serta papan tulis, yang berakibat pada pelaksanaan pembelajaran yang kurang menarik. Penelitian ini bertujuan untuk mengembangkan game edukasi mengenal Indonesia melalui penerapan pendekatan Multimedia Development Life Cycle (MDLC) yang interaktif dan menarik. Pendekatan MDLC memiliki kemampuan dalam memodelkan serta mengembangkan aplikasi dengan komponen-komponen multimedia didalamnya. Game edukasi ini dibangun berbasis website agar mudah dalam penggunaanya serta aksesnya. Untuk membangun game edukasi yang interkatif dan menarik perlu melibatkan objek-objek yang sesuai dengan sasaran pengguna, seperti penggunaan objek gambar, animasi dan audio yang disesuaikan dengan apa yang disukai oleh pengguna. Berdasarkan hasil pengujian kualitas multimedia interaktif menunjukkan rata-rata responden yang menjawab setuju untuk seluruh pertanyaan adalah 87% dan masuk dalam kategori baik.In introductory learning materials about Indonesia, such as maps, regional boundaries, time divisions, and various cultures in Indonesia, it requires the right learning media to provide interesting illustrations for elementary school children. In explaining the introduction of Indonesia, they still apply a theoretical approach, such as the use of books and blackboards, which results in the implementation of learning that is less interesting. This research aims to develop an educational game about Indonesia through the application of an interactive and interesting Multimedia Development Life Cycle (MDLC) approach. The MDLC approach has the ability to model and develop applications with multimedia components. This educational game is built on a website so that it is easy to use and access. To build educational games that are interactive and interesting, it is necessary to involve objects that are in accordance with the user's goals, such as the use of images, animations, and audio objects that are adjusted to what the user likes. Based on the results of testing the quality of interactive multimedia, it shows that the average respondent who agrees to all questions is 87% and is in the good category.
Implementation of Weight Aggregated Sum Product Assessment (WASPAS) on the Selection of Online English Course Platforms
Authors: Nuraini Rini , Yudaningsih Nunik , Nugroho Nurhasan
Published: August 2023

Melalui perkembangan teknologi, berdampak pada dunia pendidikan dengan hadirnya pembelajaran yang dapat dilakukan secara online. Tidak terkecuali pada pembelajaran Bahasa Inggris, yang banyak memunculkan lembaga belajar atau kursus yang membuka kelasnya secara online melalui platform atau aplikasi yang mereka kembangkan. Dalam menentukan plaform kursus bahasa inggiris online pengguna harus mengetahui satu per satu profil dan program yang ditawarkan. Cara ini tentunya akan dibutuhkan waktu yang lama untuk menetapkan pilihan. Tujuan dari penelitian ini yaitu menerapkan pendekatan Weight Aggregated Sum Product Assessment (WASPAS) untuk menentukan platform kursus Bahasa Inggris yang mudah dan cepat. Metode WASPAS dapat digunakan untuk penetapan prioritas pada pilihan alternatif yang memiliki relevansi dengan bobot yang diterapkan. Berdasarkan studi kasus yang diselesaikan dengan pendekatan WASPAS mendapatkan hasil alternatif terbaik yaitu English Academy (A5) dengan nilai 0,7629. Sistem pendukung keputusan yang dibangun telah mendapatkan nilai yang valid, hal ini karena hasilnya tidak berbeda dengan perhitungan manual. Untuk pengujian melalui usability testing memperoleh nilai rata-rata sebesar 86% dan masuk pada kategori baik.Through technological developments, it has had an impact on the world of education with the presence of learning that can be done online. Learning English is no exception, as many learning institutions or courses open their classes online through the platforms or applications they develop. In determining the online English course platform, the user must know one by one the profiles and programmes offered. This method, of course, will take a long time to make a choice. The purpose of this study is to apply the Weight Aggregated Sum Product Assessment (WASPAS) approach to determine an easy and fast English course platform. The WASPAS method can be used for setting priorities for alternative choices that have relevance to the weights applied. Based on case studies that were completed using the WASPAS approach, the best alternative result was English Academy (A5) with a score of 0.7629. The decision support system built has obtained a valid value because the results are no different from manual calculations. For testing through usability testing, it obtains an average value of 86% and is included in the good category.
Rabia o rebeldía en el medievo chino
Authors: Page John
Published: August 2023

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B.D. Graham. Hindu Nationalism and Indian Politics: The Origins and Development of the Bharatiya Jana Sangh. Nueva York: Cambridge University Press, 1990, 283 pp.
Authors: Lorenzen David N.
Published: August 2023

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Sue Williamson. Resistance Art in South Africa. Nueva York: St. Martin's Press, 1989, 159 pp. (con ilustraciones)
Authors: Devalle Susana B. C.
Published: August 2023

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Ch'en Hsü-wan. "Ch'ien-chia-shih" ch'üan-i. (Traducción entera del "Ch'ien-chia-shih"), Shanghai: 1987, 9 + 244 pp.
Authors: Maeth Ch. Russell
Published: August 2023

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William H. McNeill. A history of the Human Community; Prehistory to the Present. Prentice Hall, 1990, XVI + 704 pp.
Authors: Maeth Ch. Russell
Published: August 2023

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Gunnar Thompson. Ph. D. Nu Sun: Asian-American Voyages 500 B.C. Fresno: 1989, xi + 213 pp.
Authors: Maeth Ch. Russell
Published: August 2023

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Bases coránicas del pensamiento político islámico
Authors: Ruiz Figueroa Manuel
Published: August 2023

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La rebelión de los nombres-masa o algunas relaciones entre lenguaje y lógica en la China antigua
Authors: Maeth Ch. Russell
Published: August 2023

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Situación y perspectivas recientes en las relaciones económicas entre Japón y América Latina
Authors: Moneta Carlos J.
Published: August 2023

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Philip Lutgendorf. The Life of a Text: Performing the Ramcaritmanas of Tulsidas. Berkeley: University of California Press, 1991, 469 pp.
Authors: Lorenzen David N.
Published: August 2023

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Anne-Hélène Suárez. Li Bo: Cincuenta poemas. Madrid: Ediciones Hiperión, 1988, 64 pp.
Authors: Maeth Ch. Russell
Published: August 2023

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Oriente y Occidente en la narrativa de Shuusaku Endoo
Authors: Santillana García Daniel
Published: August 2023

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José Juan Tablada y el anti-haiku
Authors: Page John
Published: August 2023

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Chie Nakane y Shinzaburo Oishi (comps.). Tokugawa Japan. The Social and Economic Antecedents of Modern Japan. Tokio: Departamento de publicaciones de la Universidad de Tokio, 1990. Compilador de la traducción, Conrad Totman.
Authors: Tanaka Michiko
Published: August 2023

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Clyde V. Prestowitz. Trading Places: How America Allowed Japan to Take the Lead. Tokio: Charles E. Tuttle Company, 1988, 365 pp.
Authors: Cruz Fierro Aída
Published: August 2023

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Gregory J. Kasza. The state and the mass media in Japan 1918-1945. Berkeley: University of California Press, 1988, 355 pp.
Authors: Santillana Daniel
Published: August 2023

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William J. Holstein. The Japanese Power Game. What It Means for America. Nueva York: Charles Scribner's Sons, 1990, 339 pp.
Authors: Kerber Víctor
Published: August 2023

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J.P. Seaton y James Cryer. Li Po and Tu Fu; Bright Moon, Perching Bird. Wesleyn UP, 1987, xxii + 204.
Authors: Maeth Ch. Russell
Published: August 2023

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Catherine Despeux. El camino del despertar. Barcelona: Editorial Ibis, 1991, 149 pp.
Authors: Maeth Ch. Russell
Published: August 2023

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Lengua y poder en Tanzania: política lingüística y Estado
Authors: Jiménez González Óscar Rafael
Published: August 2023

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La Svetasvatara Upanisad
Authors: Palma Daniel de
Published: August 2023

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Hiroaki Sato (trad.). A Brief History of Imbecility. Poetry and Prose of Takamura Kotaro. Honolulú: University of Hawaii Press, 1992, 261 pp.
Authors: Quartucci Guillermo
Published: August 2023

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Thomas B. Stephens. Order and Discipline in China, the Shanghai Mixed Court 1911-1927. Seattle y Londres: University of Washington Press, 1992. 159 pp.
Authors: Connelly Marisela
Published: August 2023

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Leung Yuen-sang. The Shanghai Taotai. Linkage Man in a Changing Society, 1843-1890. Honolulú: University of Hawaii Press, 1990. 237 pp. (Asian Studies at Hawaii, núm. 39)
Authors: Connelly Marisela
Published: August 2023

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Crista Tisdall (comp.). In Times of Great Chaos. Hong Kong: Helping Hand Limited, 1989, 126 pp.
Authors: Maeth Ch. Russell
Published: August 2023

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El concepto de precariedad en los estudios del trabajo en Chile
Authors: Alister Sanhueza Cristian , Bustos Velázquez Felipe , Julián Vejar Dasten
Published: August 2023

El presente trabajo pretende abordar, desde una perspectiva bibliométrica, las investigaciones sobre la precariedad laboral y el trabajo en Chile. Para ello construimos una base de datos con las publicaciones indexadas y sus autores para construir mapas de ciencia y redes de colaboración detrás de las publicaciones que cumplían el criterio de búsqueda. Se analizaron las agrupaciones temáticas detrás de los estudios de precariedad en Chile mediante la aplicación de redes de co-palabras estableciendo agrupaciones temáticas. Los resultados obtenidos nos permiten concluir ciertas temáticas comunes en los estudios del trabajo donde existen temáticas emergentes y temáticas consolidadas en grupos de investigación.
La emergencia del peronismo en La Rioja
Authors: Álbarez Gómez Natalia , Truccone Marilina
Published: August 2023

En la Argentina, la emergencia del peronismo adquirió características particulares en los escenarios alejados de los grandes centros urbanos del país. En este trabajo, se aborda el caso de la provincia de La Rioja, donde los gobiernos peronistas se constituyeron como los «solucionadores de problemas». Desde esta lógica, se analizan las expresiones en la prensa escrita riojana sobre la justicia social, así como el rol desempeñado por la Secretaría de Trabajo y Previsión. Se concluye que el peronismo riojano significó a la justicia social como una forma de resolver problemas a través de la presencia estatal en ámbitos donde antes no tenía incidencia.
Self-Control dan Cyberslacking Pada Mahasiswa
Authors: Chrisnatalia Maria , Leoniharza Dhiaviola , Bera Liwun Stephanus Benedictus
Published: August 2023

The learning process is frequently carried out using the internet, as a tool for supporting the  academic activities. Self-control in internet usage is the required characteristic for student in the student-centered learning activities. However, there is a behavior called cyberslacking, or using the internet during the work time for non-work purposes (or in this context, for non-study purposes) that must be avoided because it can affect the learning outcomes and concentration during the study. The purpose of this research is to examine the effects of self control and cyber slacking to students. This study used a quantitative method, with 157 internet- active users students served as the research sample/ subjects. The cyberslacking activities were measured with by Akbulut scales, and the self control ability were measured with the Tangney scales. The sampling technique used purposive sampling and regression analysis techniques. The results showed that there was 32.2% of self-control affecting the cyberslacking behavior among students. The non-study purposes were for sharing information and shopping, that hit high score, where the male and female students had high categories in the same element. Based on the hypothesis testing results, this study's hypothesis is accepted.
Implementasi Projek Penguatan Profil Pelajar Pancasila Fase A Pada Tema Bhineka Tunggal Ika
Authors: Sari Indra Kartika , Pifianti Ade , Chairunissa Chairunissa
Published: August 2023

The purpose of this study is to provide experience with project implementation activities to strengthen the profile of Pancasila students in phase A on the theme of Bhineka Tunggal Ika. This research used a qualitative descriptive approach and the data collection techniques used were the observation techniques by prioritizing direct data from the student information, as well as direct observations from the research location. The research location was at SD Avicenna Cinere grades 1 and 2, that was carried out from November to December 2022.  The results obtained in this study in the dimensions of ‘Faith, Fear of God Almighty’, the Avicenna Elementary students understood that God created humans with all the differences and uniqueness in the ‘Dimension of Noble Morals’. It was found that the students understood to always be grateful for God’s blessings. The result in the ‘Global Diversity’ dimension showed that the students respect the physical, cultural, and background differences of the individuals around them. In the ‘Mutual Cooperation’ dimension, it was found that students could work together with their classmates both in group discussions or assignments. Lastly, in the ‘Creative’ dimension, students showed more creativity in completing their assignments, by providing creative ideas in group discussions.
Kajian Etnomatematika Berbasis Budaya Lokal Tradisional Ditinjau Dari Perspektif Pendidikan Multikultural
Authors: Serepinah Marni , Nurhasanah Nina
Published: August 2023

Indonesia is rich in culture. The diverse traditional local cultures provide materials to be explored and linked to mathematics learning. The ethnomathematics is a scientific approach that connects mathematics and culture. This study aims to provide an overview and rationalization of the importance of the role of ethnomathematics in multicultural education. As a result, it can be studied because culture is introduced not only through the social sciences but also through the exact sciences via mathematics. The research method in this study is qualitative, using the systematic mapping study method or systematic analysis study to describe the research mapping on ethnomathematics that has been studied. The following are the findings of the research: (1) Various traditional local cultural media, such as traditional houses, woven products, batik, and others, are the media that are widely studied using ethnographic and descriptive qualitative research. The research subjects were cultural experts or descendants of royal lineages. Very little research provides examples of the use of materials in the classroom and according to their measurement capacity. (2) The ethnomathematics plays a role in a multicultural education by exploring various cultures so that students can get to know the multiculturalism of Indonesian nation. The meaningfulness of the mathematics learning and culture is used to make the learning effective in multicultural classrooms.
Pengembangan E-LKPD Berbasis SETS Untuk Meningkatkan Aktivitas Belajar Siswa Sekolah Dasar
Authors: Suryani Ela , Rini Zulmi Roestika
Published: August 2023

The purpose of this study was to develop the electronic student worksheets (E-LKPD), based on the Science, Environment, Technology, and Society (SETS), in improving the learning activities of elementary school students. In this Research and Development (R&D) designed research, the data collection techniques used were the questionnaires, tests, and documentation. The data was analyzed with SETS elements, the e-worksheet validity test was measured by the experts validation, the learning practices were measured using the student and teacher observations lists, the effectiveness of the e-worksheet was tested using the independent sample t-test and the students' cognitive mastery test scores. The results showed that the SETS -based e-worksheet was valid, practical, and effective in increasing students’ learning activities. It can be concluded that: 1) the e-worksheet is valid as the average score from the expert validation resulted 93.5% in a ‘very good’ category and can be used without revision; 2) the e-worksheet is practical, proved by the observation result in the experimental class students that reached  88%, compared to the control class with 72 % score. The results of the students’ responses scored 81% in ‘good’ category and 93% in the experimental class in a ‘very good’ category; 3) the e-worksheet proved to be effective shown by the t-count which was higher than the t-table (2.619 > 1.995), that made the H0 was rejected, that suggested there was a difference in the result of cognitive learning in the experimental (91.4% ) and control class (80%).
Implementasi Pembelajaran STEAM Berbasis PjBL Terhadap Kemampuan Problem Solving pada Materi Energi Alternatif di SD
Authors: Triprani Enggar Kusuma , Sulistyani Nawang , Aini Dian Fitri Nur
Published: August 2023

The students’ problem solving abilities in science about the alternative energy resulted in a low level. A few of the causes were the teacher-centered method and the lack of students' creativity development opportunity in the learning process. This study aims to determine the effect of applying the STEAM approach using the Project-based Learning (PjBL) learning model to aid the students' problem solving abilities about the alternative energy material. This type of research is a quantitative experiment with a quasi-experimental design. The research was conducted at Ngaglik 1 Batu Elementary School in the even semester of the 2022/2023 academic year. The population was grade 5 students, and the samples were taken with purposive sampling technique. There were 28 students in the control class and 29 students in the experimental class. The data was collected using the pretest and posttest instruments. The pretest and posttest results were analyzed by parametric inferential statistics based on the prerequisite tests. The normality test used the Shapiro-Wilk and the homogeneity was tesedt using the Levene Statistics. The Independent Sample t-test was used to analyze the research problem and obtained Sig. (2 tailed) of 0.000, which meant that there was a significant difference in the posttest data in the control and experimental classes, so that the application of STEAM-PjBL learning model is concluded to be able to improve students' problem solving abilities.
USE OF THE SINGING METHOD IN INCREASING THE LEARNING OUTCOMES OF CLASS V IN THEMATIC LEARNING
Authors: Khusna Syifa Wafirotul
Published: August 2023

The purpose of this study was to improve student learning outcomes by using the singing method in thematic learning in VA MI Ma'arif NU 1 Cilongok class.  This study used a class action research method using the Kurt Lewin model which was carried out in two cycles, each cycle consisting of several stages, namely preparation, action, observation, and reflection.  The subjects in this study were 24 students of VA MI Ma'arif NU I Cilongok class, the number of male students.  The data source in this study is information about learning outcomes after applying the singing method.  The results of this study indicate that the application of the singing method can improve learning outcomes in the form of students' mastery and understanding.  This can be proven by cycle I where student learning outcomes have an average of 70.9% which can be categorized as not meeting the assessment standards, while in cycle II student learning outcomes show an average of 81.36% and can be categorized as complete.  Changes in behavior shown in the learning process with this singing method are students feeling happy, cheerful, active, and more enthusiastic in learning thematic learning.
MENGUBAH KELEMAHAN MENJADI PELUANG KEPEMIMPINAN TRANSFORMATIF KEPALA SEKOLAH
Authors: Riatri Dian Perdana
Published: August 2023

SD Sidorejo Lor 02 Salatiga is facing two difficulties in the same time, school yard and students’ report. School principal conducted an innovation in making student report application which is shows a good progress and result and submit DAK proposal for paving construction program. The proposal wasn’t accepted but the school can’t wait any longer so SD Sidorejo Lor 02 decided to do the construction independently. This is qualitative descriptive research. The data is collected through interview. The result shows that transformational leadership by the school principal able to change school’s weakness into opportunity. Students’ report application can be used for one of fund-raising source to support schools’ yard paving block construction.
Recuperación de metales a partir de baterías níquel-hidruro metálico usando disolventes eutécticos profundos
Authors:   , Landa Castro Midori
Published: August 2023

The present research proyect focused on the recovery of the Co-Ni alloy from the powders collected from both electrodes in Ni-Metal Hydride, Ni-MH, wasted batteries, through leaching with choline chloride-based deep eutectic solvents (ChCl-DES), which ultimately are not an environmental contamination problem, since they have proven to be biodegradable, although knowledge reveals that the DESs dissolve metal oxides. With this information, the leaching experiments here were then carried out exclusively on spent batteries powders at constant temperature, although varying the processing time. Analysis of the cathode powders leacheates was done through atomic absorption spectroscopy (AAS), attaining the following: leaching for 24 h at 95 °C gave out 84% Ni and 53.1% Co referred to the leaching capacity of a 2.0 M H₂SO₄ solution. Further, the leachates were subjected to cyclic voltammetry (CV) and chronoamperometry (CA) studies to obtain experimental potentiostatic current density transients of each ChCl-DES processed, from which the nucleation and growth kinetics of the Co-Ni alloys was determined over the glassy carbon electrode. It was shown that the transients are appropriately described by a model involving the presence of two processes occurring simultaneously; namely, the electroformation of the Co-Ni alloy by means of diffusion controlled-nucleation and growth of the bimetal phases [1], and the DES residual water reduction [2] on the surface of nuclei during growth. The electrodeposits were characterized by means of X-rays Energy Dispersive Spectroscopy (EDX) and Scanning Electron Microscopy (MEB) that revealed the presence of the Co-Ni alloy with spheric morphology. Furthermore, the electrochemical study of each separate metal (Co and Ni) under the same conditions as the leacheates, confirmed the alloy electrodeposition. Also, the Co electrodeposition was studied from the DES on different substrates, namely: glassy carbon, Au/Ti/Si and a Pt polycrystal. The potentiostatic current transients obtained on the glassy carbon electrode were analyzed aided by the Palomar-Pardavé et al., models [2] whereas the experimental data transients obtained using the Au/Ti/Si and the Pt polycrystal were fitted using the model described by Mejía-Caballero et al. [3] The Co electrodeposited on the Au/Ti/Si was characterized by MEB, which displayed a traversing lamellar morphology forming what looked like a 3D lattice. The DRX pattern and the results from X-Ray Photoelectron Spectroscopy (XPS) carried out on the same sample, exhibited peaks associated with hexagonal Co. The electrodeposits prepared at more negative potentials than that of the cathodic maximum cathodic revealed the presence of the cobalt hydroxide, Co(OH)₂ complex, corroborated by DRX and XPS.
Various approaches for the synthesis of benzimidazole derivatives and their catalytic application for organic transformation
Authors: Kaushik Prashant , Rawat Balwant Singh , Kumar Ravinder
Published: August 2023

Imidazole and phenyl rings are fused at positions 4 and 5 to form the benzimidazole structure. The benzimidazole mono- and disubstituted derivatives are extremely intriguing heterocyclic chemical compounds. They can be synthesized using a straightforward condensation method between o-phenylenediamine and a carbonyl compound under various conditions as well as a nucleophilic substitution reaction. The catalytical effects of benzimidazole derivatives, which include oxidation of olefins, oxidation of alcohol, etc, play a significant role in the catalysis. This review describes various synthetic routes for synthesizing functionalized benzimidazole derivatives and catalytic application of benzimidazole Schiff base metal complexes and benzimidazole amide.