bluuebunny/crossref_metadata_2025 huggingface dataset:
Discourse Of Islamization In Indonesia: Hoesein Djajadiningrat’s Vision In The Colonial And Postcolonial Periods
Authors: Razy Mohammad Refi Omar Ar , Sofianto Kunto Sofianto , Jaelani Gani Ahmad
Published: August 2023

Abstract: Discourses on Islamization in Indonesia are quite varied, including giving birth to the opinion that Islam originated in Gujarat, Mecca, Persia and China. The problem is, the discourse about the opinion of the coming of Islam to Indonesia which later became a unified historical story is rarely found. The discourse on Islamization became a long discourse in the colonial and postcolonial periods. This paper aims to elaborate on the vision of Islamization according to Hoesein Djajadiningrat. Hoesein argues that Islam in Indonesia originates from Persia. The argument in this paper is that Hoesein as an intellectual can be aligned with scholars who give opinions on Islamization such as Snouck Hurgronje, Pijnappel, JP Moquette, Hamka, and Abu Bakar Aceh. This paper uses historical methods consisting of heuristics, criticism, interpretation, and historiography. The results in this paper find that the Islamization discourse originating from Persia is a strengthening of the Islamization of Gujarat and a counter discourse of Arab Islamization. Therefore, this paper will analyze, first, the Islamization Debate in Western discourse. Second, the postcolonial Islamization Debate, and Third, the Arab vs Persian Islamization debate.Keywords: Hoesein Djajadiningrat, Islam, Persian, Colonial, Postcolonial
PENGEMBANGAN MULTIMEDIA INTERAKTIF BERBASIS MACROMEDIA FLASH PADA MATA KULIAH KOROSI DAN TEKNIK PELAPISAN DI PROGRAM STUDI PENDIDIKAN TEKNIK MESIN UNIVERSITAS SRIWIJAYA
Authors: Pratama Ricky Ade , Syofii Imam , Nopriyanti Nopriyanti , Kurniawan Elfahmi Dwi , Hermawan Rudi
Published: August 2023

AbstrakPenelitian ini merupakan penelitian pengembangan yang digunakan untuk mempelajari valid dan praktis suatu produk. Penelitian ini menggunakan model pengembangan Luther dengan 6 tahap yaitu konsep, desain, pengumpulan bahan, perakitan, pengujian dan distribusi . Teknik mengumpulkan data menggunakan lembar validasi ahli dan angket. Diperoleh dari hasil yang diperoleh dari angket data setiap kali validasi ahli, pembelajaran interaktif yang dikembangkan dinyatakan valid dengan nilai rerata 90,76% dari aspek materi dan 72,17% dari aspek media. Dari hasil ujicoba One to one diperoleh nilai rerata 82%. Hasil ujicoba Kelompok kecil memperoleh nilai rerata 82,6% dan 83,7% lagi dari hasil ujicoba Uji lapangan, maka dinyatakan media pembelajaran interaktif sangat praktis. Terkait dengan penggunaan model pengembangan luther yang diimplementasikan pada multimedia interaktif berbasis macromedia flash pada mata kuliah koordinasi dan teknik pelapisan ini valid dan praktis.Kata Kunci: Pengembangan, Multimedia Interaktif , Korosi dan Teknik Pelapisan .
PENGEMBANGAN MEDIA PEMBELAJARAN VIDEO TUTORIAL MENGGAMBAR RODA GIGI KERUCUT MENGGUNAKAN AUTOCAD
Authors: Pratama Agung Wijaya , Nopriyanti Nopriyanti , Kurniawan Elfahmi Dwi , Harlin Harlin
Published: August 2023

Penelitian ini bertujuan untuk menghasil media pembelajar mahasiswa yang valid dan mudah dipahami sesuai dengan Mata kuliah CAM dan CAD Dengan AutoCAD dengan tingkat kelayakan yang baik. Jenis penelitian yang digunakan adalah penelitian dan pengembangan (research and development) dengan menggunakan model pengebangan EDDIE dan evaluasi menggunakan Tessmer. Objek dalam penelitian ini adalah Mahasiswa Program Studi Pendidikan Teknik Mesin Angkatan 2016 dan 2017 Kampus Palembang yang telah mengambil Mata Kuliah CAM dan CAD. Subjek dalam penelitian ini adalah Media Pembelajaran video tutorial dengan menggunakan AutoCAD. Teknik pengumpulan data yang digunakan adalah lembar validasi dan angket. Validasi ahli digunakan untuk mengetahui kevalidan produk. Angket digunakan untuk mengetahui kepraktisan produk yang dikembangkan. Uji coba dilakukan pada tiga tahap meliputi : Self evaluation, expert review, one to one, small group dan field test. Hasil dari penelitian tersebut pada ahli materi didapatkan persentase sebesar 80% dikategorikan sangat valid dan untuk ahli media mendapatkan persentase sebesar 80% dikategorikan valid. Berdasarkan dari tahap uji coba one to one mendapatkan persentase sebesar 80,8%, pada tahap uji coba small group mendapatkan persentase sebesar 81,8% , dan pada tahap uji coba field test mendapatkan persentase sebesar 82,2% Dapat disimpulkan bahwa media pembelajaran video tutorial menggambar roda gigi kerucut menggunakan AutoCAD dinyatakan valid dan praktis. Kata Kunci: Model Pengembangan EDDIE, Media Pembelajaran Video Tutorial, menggambar roda gigi kerucut, AutoCAD, Valid dan Praktis.
KORELASI MOTIVASI BELAJAR DENGAN HASIL BELAJAR MATA PELAJARAN PEMELIHARAAN CHASIS DI SMK NEGERI 3 BONE
Authors: Rahim Ismail , Mansyur Mansyur , Hidayat Muhammad Rian
Published: August 2023

Penelitian ini bertujuan untuk mengetahui adanya hubungan antara motivasi belajar dengan hasil belajar pada mata pelajaran pemeliharaan chasis untuk siswa jurusan Teknik Kendaraan Ringan SMK Negeri 3 Bone. Sampel dalam penelitian adalah siswa kelas XI jurusan Teknik Kendaraan Ringan yang berjumlah 30 orang. Untuk memperoleh gambaran tentang motivasi dan hasil belajar siswa serta hubungan kedua variabel tersebut maka digunakan teknik analisis statistik deskriptif. Hasil penelitian menunjukkan bahwa motivasi belajar kategori sangat baik (36%), kategori baik (47%), kategori cukup (17%), dan tidak ada dengan kategori kurang, sedangkan hasil belajar kategori sangat baik tidak ada, kategori baik (3%), kategori cukup baik (97%), dan tidak ada dengan kategori kurang baik. Koefisien korelasi (r) antara X dengan Y (rxy) sebesar 0,398, karena nilai tersebut bernilai positif maka dapat diketahui bahwa terdapat hubungan yang positif antara motivasi belajar dengan hasil belajar siswa.
PENERAPAN MODEL TEACHING FACTORY PADA PELAJARAN PEMELIHARAAN SASIS SEPEDA MOTOR DI SMK NEGERI 1 KOBA
Authors: Syahryanto Syahryanto
Published: August 2023

Penerapan model pembelajaran Teaching Factory meningkatkan hasil belajar siswa dalam pembelajaran pemeliharaan sasis sepeda motor di Kelas XII Teknik dan Bisnis Sepeda Motor (TBSM) SMK Negeri 1 Koba Tahun Ajaran 2021/ 2022. Tujuan dari penelitian ini adalah mengetahui hasil belajar siswa pada mata pelajaran pemeliharaan sasis sepeda motor kompetensi dasar menjelaskan mengenai sistem rem mekanik dan sistem rem hidrolik dengan model pembelajaran Teaching Factory. Dapat diketahui dari persentase keaktifan siswa pada siklus satu sebesar 70,20% dan pada siklus dua persentase keaktifan sebesar 81,06%. Dengan meningkatnya keaktifan menyebabkan prestasi belajar siswa terus mengalami peningkatan. Hasil ini dapat diketahui dari nilai rata-rata hasil belajar siswa 57,54 dengan persentase ketuntasan belajar siswa secara klasikal sebelum diberikan tindakan (T0) sebesar 25%, sedangkan setelah diberikan tindakan pada siklus satu (T1) nilai rata-rata hasil belajar 65,21 dengan ketuntasan belajar siswa secara klasikal sebesar 54,17% dan pada siklus dua (T2) diperoleh nilai rata-rata hasil belajar 82,04 dengan ketuntasan belajar siswa sebesar 91,67% sehingga menunjukkan T2>T1>T0.
DAMPAK PEMBELAJARAN ONLINE TERHADAP KESIAPAN SISWA SMK DALAM MENGHADAPI DUNIA KERJA
Authors: Aprianto Anggi , Putra Meiyaldi Eka , Maulana Fajar , Batubara Hendra Sahputra
Published: August 2023

Tujuan penelitian ini adalah untuk mengetahui pengaruh pembelajaran online terhadap kesiapan siswa memasuki dunia kerja di SMKN 7 Pekanbaru. Jenis penelitian ini adalah penelitian kuantitatif. Data diperoleh dengan menyebarkan kuesioner menggunakan skala Likert. Populasi penelitian ini adalah seluruh siswa kelas XII yang berjumlah 74 siswa, dan hasil penelitian ini menunjukkan bahwa pembelajaran online berpengaruh signifikan terhadap nilai Sig. = 0,000 < 0,05 berarti kriteria signifikansi terpenuhi, sedangkan T-hitung 10,845 > 1,666 berarti menolak H0 dan menerima Ha untuk menguji kedua variabel Berdasarkan uji regresi diketahui bahwa variabel pembelajaran online mempunyai kontribusi sebesar 70,7 % terhadap kesiapan siswa memasuki dunia kerja, sekaligus berdasarkan tes deskriptif dapat disimpulkan bahwa kesiapan kerja siswa belum optimal, yaitu 14 dari 74 siswa masih memiliki kesiapan kerja yang rendah. Kata kunci: Pembelajaran Online, Kesiapan, Dunia Kerja
EVALUASI KINERJA BURSA KERJA KHUSUS (BKK) SEKOLAH MENENGAH KEJURUAN DI KABUPATEN SLEMAN
Authors: Meldianto Efri , Sukardi Sukardi , Bahora Eliza , Abdullah Bz Septeiyawan
Published: August 2023

Penelitian ini bertujuan untuk mengevaluasi kinerja BKK SMK di Kabupaten Sleman pada jurusan Teknik Kendaraan Ringan (TKR) otomotif berdasarkan penilaian dari pengelola BKK, guru TKR otomotif, dan kinerja BKK dalam hal kebermanfaatan berdasarkan penilaian dari siswa kelas XII jurusan TKR otomotif. Penelitian Ini adalah penelitian evaluasi yang menggunakan model discrepancy. Penelitian ini dilakukan di lima Sekolah Kejuruan di Kabupaten Sleman, penelitian ini melibatkan pengelola BKK, guru TKR otomotif, dan siswa kelas XII TKR otomotif sebagai responden. Sampel dipilih menggunakan teknik purposive sampling yaitu  5 dari 53 SMK yang telah memenuhi kriteria yang telah ditetapkan dan data dikumpulkan melalui kuesioner dalam bentuk invetori Hasil penelitian menunjukkan bahwa skor rata-rata penilaian dari Pengelola BKK yaitu sebesar 103,20 termasuk dalam kategori rendah dari skor yang ditetapkan sebelumnya untuk penilaian dari pengelola BKK yaitu 45 hingga 180.
Spelling Checker using Algorithm Damerau Levenshtein Distance and Cosine Similarity
Authors: Hamidah Nur , Yusliani Novi , Rodiah Desty
Published: August 2023

Writing is an embodiment of the author's ideas that are to be conveyed to others. A writer often experiences typos in typing the script, so that it can influence the meaning of the text. Therefore, a system is needed to detect word errors. In this study, checking is done by using the Dictionary Lookup method and giving the candidate words using the Damerau Levenshtein Distance algorithm. Candidates will then determine the ranking by breaking the word into Bigram form and calculating the similarity value using the Cosine Similarity algorithm. The test results based on the data used yield different Mean Reciprocal Rank (MRR) values for each type of error. The type of error deletion produces an MRR value of 88.89%, the type of insertion error produces an MRR value of 97.78%, the type of substitution error produces an MRR value of 88.89%, the type of transposition error produces an MRR value of 89%
Multilabel Classification for News Article Using Long Short-Term Memory
Authors: Sari Winda Kurnia , Rini Dian Palupi , Malik Reza Firsandaya
Published: August 2023

Multilabel text classification is a task of categorizing text into one or more categories. Like other machine learning, multilabel classification performance is limited when there is small labeled data and leads to the difficulty of capturing semantic relationships. In this case, it requires a multi-label text classification technique that can group four labels from news articles. Deep Learning is a proposed method for solving problems in multi-label text classification techniques. By comparing the seven proposed Long Short-Term Memory (LSTM) models with large-scale datasets by dividing 4 LSTM models with 1 layer, 2 layer and 3-layer LSTM and Bidirectional LSTM to show that LSTM can achieve good performance in multi-label text classification. The results show that the evaluation of the performance of the 2-layer LSTM model in the training process obtained an accuracy of 96 with the highest testing accuracy of all models at 94.3. The performance results for model 3 with 1-layer LSTM obtained the average value of precision, recall, and f1-score equal to the 94 training process accuracy. This states that model 3 with 1-layer LSTM both training and testing process is better.  The comparison among seven proposed LSTM models shows that model 3 with 1 layer LSTM is the best model.
Face Detection Using Randomized Hough Transform (RHT) with Various Ellipses Segmentations
Authors: Fachrurrozi Muhammad , Saparudin Saparudin , Mardiana Mardiana , Rodiah Desty , Agusthia Winda
Published: August 2023

Face detection is one of earlier phase in face recognition process. This research aims to get the faces area on digital image without being affected by face orientation, lights condition, background and the expression. The detected face area is usually shaped by a rectangle. Many pixels on the rectangle are not part of face, especially at the four of the image corners. This research use an ellipse as replacement a rectangle. The detected face is shaped by ellipses with various sizes and orientations. The digital image segmentations is used to detect face candidates area. The ellipse is formed by using Randomized Hough Transform (RHT) method, which is influenced by the center point of ellipse candidates. RHT found three random pixels on segmented image. The rate of success of RHT is determined by segmentation results. The research result is tested by using various thresholds, and get the best accuracy at 74.4%. The rate of accuracy is measured by comparing between RHT ellipses shape and circle shape on OpenCV library as ground truth.
CLASSIFICATION METHODS ON SENTIMENT ANALYSIS OF TOURISTS ON AIRLINES IN TWITTER
Authors: Saraswita Elza Fitriana , Rini Dian Palupi , Abdiansah Abdiansah
Published: August 2023

Sentiment analysis is one of the knowledge to find the opinions of society towards a topic of discussion particular. Text mining is the science that many performed by individuals or companies to improve performance and fix complaints public against the services or brand trademarks that exist in the world of business. One of them is business flight or airline flights. One of them is public complaints against certain airlines posted on twitter. It is certainly going to greatly affect the airline 's own because , media social is one of the means of advertising and trade are extensive. Machine learning methods such as Logistics Regression, Kneighbors Classifier, Support Vector Classifier (SVC), Decision Tree Classifier, Random Forest Classifier, and Gaussian. Several classification methods are used to compare the performance of each method to see the best results.
Diagnosis Of Respiratory Tract Infections In Toddlers With Expert System Using Variable-Centered Intelligent Rule System And Certainty Factor Method
Authors: Gustano Ahmad , Abdiansah Abdiansah , Miraswan Kanda Januar
Published: August 2023

Expert system can help the experts in diagnose the Respiratory TractInfection For Toddlers. This research have a purpose to build anexpert system for Android with Kotlin language using Variable-Centered Intelligent Rule System and Certainty Factor method, alsoget the accuracy of it. System’s input is a yes or no answer from Yes-No Question with user. This research use 164 patient data of toddlersat UPTD Kenten Laut Banyuasin Health Center and variables which issymptoms that occurs in toddlers such as cough, cold, hard to breathe,fever, and the results of a physical examination conducted by theexpert. Based on test result, the system has 95,52% accuracy whendiagnose ISPA case, and 100% accuracy when diagnose Pneumoniacase. So, it can be concluded that Variable-Centered Intelligent RuleSystem and Certainty Factor method can be used to diagnoserespiratory infections in toddlers.
Determining The Quality and Production of Fresh Vegetables Using Simple Multi - Attributes Rating Technique (SMART) - Fuzzy Tsukamoto
Authors: Irawan Dedi , Utami Alvi Syahrini , Rodiah Desty
Published: August 2023

Vegetables are one of the most important needs in Indonesia. This is due to the increasing need for healthy food to meet daily needs. With the need for vegetables, the quality and production process are still hampered because it is done manually. Therefore created a system that can help someone determine the quality and production of the right vegetables. This system uses the SMART method and fuzzy Tsukamoto with the criteria and variables of vegetables used to get good quality and production. The SMART and fuzzy Tsukamoto method used a dataset of 20 vegetable commodities. In this study, 4 criteria and 3 variables were used, namely height, soil pH, temperature and age of harvest for quality determination. The production uses the variables of demand, supply and production.
Cross-Site Scripting Attack Detection using Rule-Based Signature
Authors: Stiawan Deris , Heryanto Ahmad , Budiarto Rahmat
Published: August 2023

Rule-Based Signature or also known as Misuse Detection is IDS which rely on matching data captured on retrieval of attack pattern which in system that allow attacks. If the attack activity detected according to existing signature, then it will be read by system and called as attack. The advantage of this Signature-Based IDS is the accuracy of detecting matched attack which in the system with low false-positive result and high true-positive. Cross-Site Scripting is type of attack which is perform by injecting code (usually) JavaScript to a site. XSS is very often utilized by attacker to steal web browser resource such as cookie, credentials, etc. Dataset which used in this research is dataset which created by injecting script into a website. Once obtained the dataset, then feature extraction is performed to separate the attribute which used. XSS attack pattern can be easily recognized from URI, and then detected using engine which has been created. Detection result of algorithm which used is evaluated using confusion matrix to determine detection accuracy value which performed. Obtained accuracy detection of research result reached 99.4% with TPR 98.8% and FPR 0%.
Fuzzy Time Series Optimization using Particle Swarm Optimization for Forecasting the Number of Fresh Fruit Bunches (FBB) of Palm Oil
Authors: Aliyah Aisyah Filza , Utami Alvi  Syahrini , Oktadini Nabila Rizky
Published: August 2023

Palm oil is a reliable vegetable oil producer because the oil produced has advantages than oils from other plants. The amount of Fresh Fruit Bunches (FFB) raw material from Palm oil has a significant impact on the palm oil production process. Therefore, we need a method to forecasting the amount of palm oil (FFB). One of the suitable forecasting methods is fuzzy time series (FTS). However, FTS still has shortcomings such as innacurate determination of the interval length. For this reason, we need to optimize FTS interval to get optimal forecasting. This research implements Particle Swarm Optimization as the optimization method, FTS Chen-Hsu as the forecast method, and Mean Absolute Percentage Error (MAPE) as the measurement of error. The optimization result using PSO produce an error value of 2.0262% smaller than FTS 3.7108%.
Classification of Emotions on Twitter using Emotion Lexicon and Naïve Bayes
Authors: Fairuz Dhiya , Yusliani Novi , Januar Miraswan Kanda
Published: August 2023

Social media is a means of interaction and communication. One of the social media that is often used is Twitter. Twitter allows its users to express many things, one of which is being a personal media to provide various kinds of expressions from its users such as emotions. Users can express their emotions and sentiments through writing on the status of their social media posts. One method to find out the emotion in the sentence is using the Emotion Lexicon. However, the lexicon-based method is not good at classifying data because not every word contains emotion. So, there's a need to combine it with other classification method such as Naive Bayes. Naïve Bayes relies on independent assumptions to obtain a classification through the probability hypothesis that each class has. The results of the classification test with Emotion Lexicon alone have 46% accuracy, 45% precision, 51% recall and 36% f-measure. While the results of the classification test with Emotion Lexicon and Naïve Bayes resulted in an accuracy of 65%, precision of 77%, recall of 55%, and f- measure of 59%.
Text Summarization with K-Means Method
Authors: Firdaus Ari , Yusliani Novi , Rodiah Desty
Published: August 2023

Text Summarization is a tool used to generate a short form of text that contains important information that is needed by the user automatically. In this study, Text Summarization was conducted on Indonesian news using K-Means method. The news is taken from CNN Indonesia with a free topic. K-Means is used to classify sentences that already have weight in the news with 2 clusters, namely text summaries and not text summaries. The initial centroid is selected based on the sentence with the largest value and the sentence with the smallest value. The test conducted on Indonesian news with a total 50 news and tested for feasibility using a questionnaire. K-Means was successfully summarizing the news with an average 27.3 % of original news length and gain 87% good summarize based on respondents from questionnaire.
Comparison Of Shift Reduce Parsing and Left Corner Parsing Algorithm in Sentence Structure Ambiguity Checker
Authors: Shaquille Reyhan Navind , Yusliani Novi , Marieska Mastura Diana
Published: August 2023

Indonesian is the official language of the Republic of Indonesia and the language of the Indonesian nation's unity. Although it is often used, there are still errors in the use that are not in accordance with the applicable rules. One type of error is due to ambiguity which can cause misunderstandings in interpreting a word or sentence. Structural ambiguity is a type of ambiguity that occurs when the structure of words in a sentence can be given more than one grammatical structure. Left Corner Parsing and Shift Reduce Parsing are parsing methods used to classify sentence structure ambiguity. This research involves preprocessing, namely case folding, tokenizing and Part Of Speech Tagging. This study uses 90 testing data labeled with facts, 30 ambiguous sentences and 60 unambiguous sentences. Based on the results of checking the ambiguity of the sentence structure, the Shift Reduce Parsing algorithm produces an accuracy of 71%, precision 70.6%, recall 59%, and f-measure 58.2%. Meanwhile, Left Corner Parsing produces an accuracy value of 70%, precision 68.7%, recall 57.5%, and f-measure 55.8%.
Comparison of Certainty Factor (CF) and Case Based Reasoning (CBR) to Diagnose Infertility in Women
Authors: Putri Risky Tama , Yunita Yunita , Arsalan Osvari , Kurniati Rizki
Published: August 2023

Infertility has now become a terrible and serious problem for women. Limited information about infertility suffered by women makes it difficult for them to predict the disease they are suffering from. Therefore we need an expert system that can predict infertility in women. The methods used in this research are Certainty Factor (CF) and Case Based Reasoning (CBR) methods. Certainty Factor (CF) is one of the techniques used to overcome uncertainty in decision making. Case Based Reasoning (CBR) is a problem solving method by remembering similar events that happened in the past and then using that knowledge or information to solve new problems. Based on the test results using 25 test data, the accuracy of the expert system for diagnosing infertility in women using the Certainty Factor (CF) method is 92%, while the curation of the expert system for diagnosing infertility in women using the Case Based Reasoning (CBR) method is 76%.
BEST EMPLOYEE ASSESSMENT DECISION SUPPORT SYSTEM USING ANALYTICAL HIERARCHY PROCESS (AHP) AND ADDITIVE RATIO ASSESSMENT (ARAS) METHODS
Authors: Rizkiansyah Muhammad , Yunita Yunita , Oktadini Nabila Rizky
Published: August 2023

The purpose of this research is to make it easier to solve the problem of evaluating the best employees in the company PT. ASA KARYA MULTIGUNA, therefore a decision support system is needed. The Analytical Hierarchy Process (AHP) method is used for weighting criteria and the Additive Ratio Assessment (ARAS) method is used for ranking alternatives. From the results of the weighting of the criteria obtained weights for ability (0.31), initiative (0.04), discipline (0.08), performance (0.21), responsibility (0.13), attendance (0.08), communication (0.04), attitude (0.08). From the results of the alternative rankings, for the November 2020 period, the first place was Hendri Gustian, the second was Eka Wingsati Sartono, and the third was Eva Maya Fadila. In the December 2020 period, the first place was Hariyadi, the second was Hendri Gustian, and the third was Deden Kurniawan. In the January 2021 period, the first rank was Deden Kurniawan, the second rank was Hilman Djuniarto, and the third rank was Nurhayati Natalia. From the data for 3 periods from November 2020 to January 2021, which were tested managed to the average confidence level is 84.1%.
Spelling Detection based on P300 Signal with Convolutional Neural Network (CNN) Algorithm
Authors: Muharrom Kgs. M. Rusdiansyah , Primartha Rifkie
Published: August 2023

Brain Computer Interface (BCI) is a system that connects the human brain with the outside world for people who have motor skills disability problems. One form of utilization is the P300 speller which is used for character recognition or detection by classifying the P300 signal. The Convolutional Neural Network (CNN) method is a deep learning method that can be used to handle signal problems with ID-CNN. At the initial stage the data signal will be transformed and followed by a duplication process using RandomOverSampling because the amount of data in each class is not balanced. The data will be divided into training, validation, and test data. After that, a training with CNN will be conducted and followed by an evaluation to find the best model. The test results from this study are a good-fitting CNN model with an evaluation value consisting of an accuracy of 94.27%, precision of 90.64%, sensitivity / recall of 98.30%, and f-measure of 94.31%. Based on the test, the CNN method can be used and implemented in authentication detection based on the P300 signal.
MEMBER ELECTION DECISION SUPPORT SYSTEM SOUTH SUMATERA PASKIBRAKA USING TOPSIS-PROMETHEE METHOD
Authors: Mulyanata Angga Adiningrat , Yunita Yunita , Rodiah Desty
Published: August 2023

Paskibraka is the best young generation selected through various selections to raise and lower the Heritage Flag on Indonesian Independence Day. However, in the enthusiasm of the students to take part, the Dispora of South Sumatra Province still uses a manual assessment system so that several obstacles were found in its implementation. done with Microsoft Excel, as well as a calculation system that can only be used for one period, while this selection is an annual event that is held every time to celebrate Indonesian Independence Day. Therefore we need a way that can help the Dispora of South Sumatra Province in determining the best alternative for paskibraka members. One algorithm that is useful in decision support is Topsis. Topsis is used in the application of values for each criterion and a different range of values. Then using the Promethee method can improve the Topsis method because the Promethee method is used to determine the order of priority in multi-criteria analysis. The data taken by 60 participants were then researched according to predetermined criteria including written test scores, interview tests, health tests, physical fitness, and posture. Produced the best participants according to the system as many as 15 data. The results of the research test have an accuracy of 80%.
Decision Support Systems For Selection Of Pet Cat Using Preference Selection Index (PSI) & Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) Methods
Authors: Ferdiyanti Bunga Ayu , Yunita Yunita , Oktadini Nabila Rizky
Published: August 2023

In its evolution, cats have many variants that make adopters confused in determining the right choice. In the early stages of the search there are several common ways that adopters use, such as visiting websites on the internet, reading magazines or books, or directly coming to a pet store. The search process requires money, effort, and time. Therefore, in this final project was built a Decision Support System for Selection of Pet Cat using Preference Selection Index (PSI) & Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) Methods which is expected to be able to help adopters to improve cost efficiency, energy and issued time. This system is expected to be able to provide recommendations for the type of pet cat according to the criteria and needs of the adopter. The criteria used include adoption costs, health, nature, weight, and treatment time. The basic concept of the two method is to calculate the weight of the criteria which is then multiplied by a normalized matrix and ranking. Based on the results of usability testing that applies the Technology Acceptance Model (TAM) theory by distributing questionnaire to 69 respondents, the results obtained are 0.92 with a VERY STRONG relationship level, so this system can be considered useful for users.
Text Similarity Detection Between Documents Using Case Based Reasoning Method with Cosine Similarity Measure (Case Study SIMNG LPPM Universitas Sriwijaya)
Authors: Febriyanti Nabila , Rini Dian Palupi , Arsalan Osvari
Published: August 2023

LPPM Universitas Sriwijaya is an institution that coordinates academic research and community service inside Universitas Sriwijaya. In carrying out the duty, LPPM assesses every proposal’s originality which would be impossible to do manually in the future due to massive data growth. Thus, automatization for the proposal's originality check is needed. The Case Based Reasoning method is used in this research because it allows the system to reuse the information that has been obtained to find documents that are similar to the test document. In this study, the data is represented in the form of the Vector Space Model and uses Cosine Similarity to measure document to document similarity. The data is represented by giving weight for each part of the tested documents. In this study, four formulas from previous research will be used for term weighting then the final result will be compared. The process begins by extracting data, separating parts of the document, figuring the similarity value of the test document to the case base utilizing Cosine Similarity Measure, results filtering with a certain threshold, summarizing the calculation results, and finally preserving the results obtained to be reused in the next calculation. The results of this study indicate that the text-similarity detection between documents has been successfully carried out using the proposed method with the best sensitivity level and the fastest computation time achieved in configuration II.
Identification Types Of Student Learning Modalities In Physics Subjects With Expert Systems Using Bayes Theorem Method
Authors: Ukkasyah Muhammad , Yunita Yunita , Miraswan Kanda Januar
Published: August 2023

Learning modality is a person's way of absorbing and processing information effectively and efficiently. This study aims to determine the results of the identification types of student learning modalities in physics subjects with an expert system using the Bayes theorem method, and the accuracy of the Bayes theorem method in identifying types of student learning modalities in physics subjects. This study uses the Bayes theorem method because it can produce a parameter estimate by combining information from the sample and other information that has been previously available to determine the results of the learning modality. This study uses 21 characteristics of learning modalities, 3 types of learning modalities, and 30 test cases obtained from an expert physics teacher at SMA Sumsel Jaya Palembang. Based on the tests that have been carried out, the results show that the system has an accuracy of 90% in identifying types of student learning modalities in physics subjects. It can be concluded that the Bayes theorem method can be used to identify types of student learning modalities in physics subjects.
Reconstruction Low- Resolution Image Face Using Restricted Boltzmann Machine
Authors: Supardi Julian
Published: August 2023

Low-resolution (LR) face images are one of the most challenging problems in face recognition (FR) systems. Due to the difficulty of finding the specific features of faces, the accuracy of face recognition is low. To solve this problem, some researchers are using an image reconstruction approach to improve the resolution of their images. In this research, we are trying to use the restricted Boltzmann machine (RBM) to solve the problem. Furthermore, a labelled face in the wild (lfw) database has been used to validate the proposed method. The results of the experiment show that the PSNR and SSIM of the image result are 34.05 dB and 96.8%, respectively.
AN ANALYSIS OF PUBLIC INVESTMENT ON HIGHER EDUCATION IN INDIA
Authors: Harisha. B  , D.V. Gopalappa
Published: August 2023

Higher education is the integral part of social infrastructure which determines the destiny of any nation. Public policy on education is one of the most significant areas of contemporary development strategy and in a developing country like India, investment on education assumes most important place in such a policy. The higher education sector in India has witnessed a paradigm shift in recent years, in order to shape the future social and economic progress it is necessary to expand, restructure and raising the quality of education in the country. Development of human resources is one of the main purposes of Higher Education, which will play a critical role in preparing the workforce to be constructively utilized. Therefore, India needs to show more concern over higher education in terms of quantity and quality. In this background, the paper presents a birds eye view of the public expenditure by the centre and the state on higher education along with sector wise allocation in the country. An attempt has been made to analyze the growth and trends in public investment with the help of statistical tools like correlation and regression analysis.

KEY WORDS: Higher Education, Public Investment, Sector-wise Allocation, Gross Domestic Product.
ANALISIS PENERAPAN MODEL PEMBELAJARAN PROBLEM BASED LEARNING TERHADAP KETERAMPILAN BERPIKIR KRITIS DALAM PEMBELAJARAN TEMATIK SISWA KELAS V SD NEGERI 02 CANDISARI PURWODADI
Authors: Ema Alfitasari  , Ferina Agustini  , Choirul Huda
Published: August 2023

ABSTRAK

Kurangnya pemahaman dan keterampilan berpikir kritis siswa dalam pembelajaran terjadi karena belum maksimalnya variasi model pembelajaran yang diterapkan oleh guru, meskipun pada dasarnya guru telah melakukan beberapa variasi model pembelajaran namun dalam pelaksanaannya variasi model pembelajaran yang dilakukan selama ini belum mampu mendorong pemahaman dan keterampilan berpikir siswa. Tujuan penelitian ini adalah untuk menganalisis penerapan model Pembelajaran Problem Based Learning terhadap keterampilan berpikir kritis dalam pembelajaran tematik siswa kelas V SD Negeri 02 Candisari. Penelitian ini menggunakan metode penelitian kualitatif, dimana peneliti melakukan observasi dan tindakan narasumber yang diutamakan. Teknik pengumpulan data yang digunakan yaitu observasi, wawancara dan dokumentasi. Hasil Penelitian menunjukan bahwa penerapan metode pembelajaran problem based learning dalam proses belajar mengajar sangat membantu siswa untuk meningkatkan kemampuan berpikir kritis siswa yang dibuktikan dengan hasil belajar siswa mengalami peningkatan sebesar 85% telah tuntas KKM. Hal ini disebabkan karena penerapan metode pembelajaran problem based learning memudahkan siswa untuk memahami materi yang diajarkan Guru, menjadikan siswa lebih aktif dan lebih percaya diri dalam mempresentasikan hasil karyanya, serta lebih berani menjawab pertanyaan yang diberikan oleh teman antar kelompok.

 

Kata Kunci: Model pembelajaran Problem Based learning, Berpikir kritis, aktif.
PENGARUH MODEL PROBLEM BASED LEARNING TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATERI KUBUS DAN BALOK KELAS V SD N KALICARI 01 KOTA SEMARANG
Authors: Denis Anatania Muizz  , Kartinah  , Khusnul Fajriyah
Published: August 2023

ABSTRAK

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh penerapan model Problem Based Learning terhadap pemecahan masalah materi kubus dan balok kelas V SD N Kalicari 01. Permasalahan pada penelitian ini adalah apakah ada pengaruh penerapan model Problem Based Learning terhadap pemecahan masalah materi kubus dan balok kelas V SD N Kalicari 01. Metode dalam penelitian ini adalah kuantitatif. Lokasi penelitin dilaksanakan di SD N Kalicari 01. Tektik pengumpulan data yaitu dengan angket, tes, dokumentasi. Menggunakan teknik analisis data yaitu analisis instrument tes, analisis data, uji hipotesis, uji statistik. Hasil penelitian menunjukan bahwa model Problem Based Learning yang diterapkan dikelas dapat membantu siswa dalam meningkatkan kemampuan pemecahan masalah materi kubus dan balok. Dibuktikan dengan menggunakan uji t terdapat pengaruh pada perlakukan model pembelajaran Problem Based Learning untuk meningkatkan kemampuan pemecahan masalah materi kubus dan balok kelas V di SD N Kalicari 01. Dan peneliti mengambil kesimpulan bahwa model pembelajaran Problem Based Learning berpengaruh terhadap kemampuan pemecahan masalah siswa. Saran yang dapat disampaikan adalah model pembelajaran Problem Based Learning (PBL) dapat dijadikan salah satu model pembelajaran alternatif meningkatkan keaktifan siswa agar siswa tidak bosen dengan pembelajaran yang hanya menggunakan pembelajaran konvensional.

Kata Kunci : Model pembelajaran Problem Based Learning (PBL), Kemampuan Pemecahan Masalah, Kubus dan Balok
STUDI PERBANDINGAN ANTARA MODEL PEMBEALAJARAN THINK PAIR SHARE BERBANTU KARTU SOAL DENGAN MODEL PEMBELAJARAN KONVENSIONAL KELAS IV SDN 02 SELOKATON GONDANGREJO TAHUN PELAJARAN 2022/20223
Authors: Fajrin Amalia  , Sutoyo  , Elinda Rizkasari
Published: August 2023

Tujuan penelitian ini adalah untuk mengetahui perbedaan antara model pembelajaran Think Pair Share berbantu kartu soal dengan model pembelajaran konvensional dalam pembelajaran matematika peserta didik kelas IV SDN 02 Selokaton Gondangrejo Tahun Pelajaran 2022/2023.

Penelitian ini merupakan penelitian kuantitatif dengan jenis Experimental Design. Desain yang digunakan penelitian ini adalah Quasi Experimental Design dengan bentuk Nonequivalent Control Group Design. Populasi dan sampel penelitian ini seluruh peserta didik kelas IV A dan IV B SD Negeri 02 Selokaton yang berjumlah 50 peserta didik. Teknik pengumpulan data yang digunakan yaitu tes, observasi, dan dokumentasi. Untuk uji prasyarat data yaitu dengan menggunakan uji normalitas Kolmogorov Smirnov dan uji hipotesis menggunakan uji Independent Sample T-test.

Hasil penelitian ini menunjukkan bahwa ada perbedaan antara penggunaan model Think Pair Share berbantu kartu soal dengan model pembelajaran konvensional kelas IV SDN 02 Selokaton Gondangrejo Tahun Pelajaran 2022/2023. Berdasarkan hasil pengujian hipotesis menunjukkan adanya perbedaan rata-rata antara model pembelajaran Think Pair Share berbantu kartu soal dengan model pembelajaran konvensional. Nilai rata-rata pretest di kelas kontrol 46 dan di kelas eksperimen 39, sedangkan nilai postets di kelas kontrol 63 di kelas eksperimen 78. Sehingga dapat disimpulkan bahwa adanya perbedaan dalam penggunaan model pembelajaran Think Pair Share berbantu kartu soal dengan model pembelajaran Konvensional. Hal ini dapat dibuktikan dengan perhitungan dari nilai  sebesar 6,833, selanjutnya nilai  dibandingkan dengan   dengan rumus (ɑ/2); sama dengan (0,05/2); (N-2) = 0,025;48 yaitu 2,021. Berdasarkan hasil ouput SPSS versi 23 diketahui nilai  adalah sebesar 6,833 > 2,021, maka dapat disimpulkan bahwa  ditolak dan  diterima. Berdasarkan hasil perolehan tersebut dapat dikatakan bahwa ada perbedaan rata-rata hasil belajar peserta didik yang menggunakan model Think Pair Share berbantu kartu soal dengan model pembelajaran konvensional kelas IV SD Negeri 02 Selokaton Tahun Pelajaran 2022/2023.
PERAN SARANA DAN PRASARANA DALAM PENINGKATAN MUTU PENDIDIKAN UNTUK PERSIAPAN AKM DI SDN PAGEJUGAN 01 KECAMATAN BREBES KABUPATEN BREBES
Authors: Amellia Daras Puspitasari  , A.Y Soegeng Ysh  , Mudzanatun
Published: August 2023

Latar belakang dalam penelitian ini adalah pentingnya sarana dan prasarana untuk menunjang penyelenggaraan proses belajar mengajar khususnya pada persiapan pelaksanaan AKM. Sarana dan prasarana pendidikan adalah salah satu sumber daya yang menjadi tolak ukur mutu suatu sekolah dan perlu adanya tingkatan terus menering seiring berkembangnya ilmu pengetahuan dan teknologi yang canggih dan sangat pesat. Permasalahan penelitian ini adalah bagaimana sarana dan prasarana di SD Negeri Pagejugan 01 Brebes dan bagaimana sarana dan prasarana dalam meningkatkan mutu pendidikan untuk persiapan AKM di SD Negeri Pagejugan 01 Kecamatan Brebes Kabupaten Brebes. Tujuan dari penelitian ini adalah untuk mengetahui sarana dan prasarana yang tersedia di SD Negeri Pagejugan 01 Brebes dan untuk mengetahui peran penting sarana dan prasarana dalam meningkatkan mutu pendidikan untuk persiapan AKM di SD Negeri Pagejugan 01 Kecamatan Brebes Kabupaten Brebes. Jenis penelitian ini adalah penelitian kualitatif yang bersifat deskriptif analitis. Subjek penelitian ini adalah 1 kepala sekolah, 3 guru, 3 siswa kelas 5, dan 3 wali murid. Teknik pengumpulan data menggunakan metode observasi, dokumen, dan wawancara. Teknik validitas data menggunakan triangulasi data (sumber) dan triangulasi metode yang terdiri dari tahap pengumpulan data, reduksi data, penyajian data, dan kesimpulan. Hasil penelitian ini menunjukkan bahwa ketersediaan sarana danprasarana di SD Negeri Pagejugan 01 Brebes masuk dalam kategori kurang baik berdasarkan PP No. 19 Tahun 2005 dalam Pasal 42, karena sarana dan prasarana kurang lengkap dari segi kuantitas maupun kualitas. Seperti bangunan, perabot dan alat peraga. Sarana dan prasarana di SD Negeri Pagejugan 01 Brebes mempunyai peran dalam peningkatan mutu pendidikan siswa. Karena sarana dan prasarana yang kurang memadai membuktikan bahwa hasil prestasi yang diraih kurang memuaskan, sehingga hal ini mempengaruhi kualitas pendidikan siswa. Saran yang dapat disampaikan yaitu pemerintah dan pihak sekolah dapat melengkapi dan memperbaiki sarana dan prasarana yang digunakan, guna meningkatkan mutu pendidikan. Guru dibekali dengan ilmu pengetahuan mengenai penggunaan alat peraga yang berbasis IT, serta guru dan wali murid mampu mejadi motivator agar siswa termotivasi untuk belajar.
PENGARUH MEDIA REALIA TERHADAP HASIL BELAJAR IPAS
Authors: Nisrina Huwaida Anbar , Magdalena Ina , Huilatunisa Yayah
Published: August 2023

This research is motivated by several factors, namely: the media provided by the school does not meet the needs of students, the surrounding environment is not maximized, and the lack of media use in materials that should involve media. The formulation of the problem proposed in this study is whether realia media has an impact on student IPAS learning outcomes. The purpose of this study was to determine the effect of realia media on the learning outcomes of IPAS on buying and selling material for grade IV students. This research method is a quantitative approach with the type of experimental research, namely research conducted to test the validity of experimental variables. In this study, researchers sampled the entire student population. The data source of this research comes from a sample of 52 students. Based on the results of hypothesis calculation, the value of Thitung (-19.896) < Ttabel (2.009) is obtained. In accordance with the statistical hypothesis that has been made before the research, it can be concluded that there is an effect of realia media on the learning outcomes of IPAS grade IV students at a significance level of 5% (a = 0.05).
PENGEMBANGAN INSTRUMEN PENILAIAN BERBASIS HOTS BERBANTUAN WEBSITE WORDWALL PADA MATERI BANGUN RUANG
Authors: Adnin Rizki Kasdina  , Fitri Siti Sundari  , Rukmini Handayani
Published: August 2023

This study to khow how to develop HOTS-based assessment instruments assisted by wordwall websites on building material for classrooms V SDN Bantarkemang 2, as well as knowing the feasibility of assessment instruments using wordwall websites in the learning process. The method used in this study is using the ADDIE method (Analyze, Design, Development, Implementation, and Evaluation). This research begins with collecting information on the needs and problems that exist in elementary schools, designing assessment instruments, validating products to experts, revising products, and after that testing assessment instruments for students. The results of the feasibility trial of assessment instruments using the wordwall website show that this product is very feasible for use in learning. This is evidenced by the results of the response questionnaire of validators, evaluation experts, material experts, media experts and linguists by obtaining an average percentage of 98%, as well as student response questionnaires which obtained an average percentage of 99.7%. This is also supported by analyzing the validity of the question items, the reliability of the question items, the level of difficulty of the question items and the distinguishing power of the question items. So it can be concluded that the HOTS-based assessment instrument assisted by the wordwall website on classroom V building material is suitable for use by students.
PENGEMBANGAN MEDIA PEMBELAJARAN SCRAMBLE WORDS PADA MATA PELAJARAN BAHASA INGGRIS KELAS IV A SD ISLAM DARUL HUDA SEMARANG
Authors: Andina Isna Ghani Saputri  , Muhammad Arief Budiman  , Mira Azizah
Published: August 2023

The problem was found that 57% of students found it difficult to learn English. Especially in writing and reading skills, learning media is limited. The aims of this research are 1) to know the characteristics of Scramble Words media, 2) to know the validity of Scramble Words media, 3) to know the practicality of Scramble Words media. This study uses the Research and Development (RnD) method. Data collection techniques using interviews and questionnaires. Data analysis using descriptive qualitative and descriptive quantitative. The results showed that the Scramble Words media was declared valid with a very feasible category with the results of the analysis of the media expert validation of 97.5% and the results of the analysis of material expert validation of 100%. The Scramble Words media was declared practical by obtaining a percentage of 82% in the strongly agree category, through the results of the student response questionnaire analysis. Through the results of the teacher's response questionnaire analysis, a percentage of 80% was obtained in the strongly agree category. Based on the results of this study the Scramble Words media developed was stated to be valid and practical to use in the learning process.
PENGEMBANGAN MEDIA KARTU KATA BERGAMBAR BERBASIS POWERPOINT UNTUK PERKEMBANGAN BAHASA ANAK DI TK ISLAM BAKTI 71 SIALANG GAUNG
Authors: Aprimadedi  , Sri Yunimar Ningsih  , Henny Nuryah
Published: August 2023

This research is motivated by several things that the author found in the intial observations.The purpose of this research is to produce a product in the from of powerpoint-based picture word card media in TK Islamic bakti sialang gaung that is valid,practical,and effective. This type of research is research and development,which uses the ADDIE development model which consists of analysis,design,development,implementation,evaluation stages.The analysis phase includes an analysis of the child’s needs.an analysis of the child’s characteristic.the design stage carried out material and media design.the out practicality tests,and the effectiveness test was carried out at TK Islamic Bakti Sialang Gaung,Koto Baru District,Dharmasraya Regency,and the evaluation stage carried out an assessment of these results,The result of powerpoint-based picture word card media validation assessment on the validaty test by there exprest,material exprest,and linguists with very valid and valid category,practicality test with very practical category,and effectiveness results with the effective category. It can be concluded that the media powerpoint-based picture word card are declared valid,and effective