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All Journal Jurnal Pendidikan Humaniora Journal of Education and Learning (EduLearn) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Komputer Terapan Jurnal Pemberdayaan Masyarakat: Media Pemikiran dan Dakwah Pembangunan JETL (Journal Of Education, Teaching and Learning) Proceeding Applied Business and Engineering Conference
Yuliska, Yuliska
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Digital Museums as Learning Platforms: Assessing Their Impact on Historical Education Fikri, Asyrul; Bunari, Bunari; Al-Fiqri, Yanuar; Yuliska, Yuliska
Jurnal Pendidikan Humaniora Vol 11, No 04: DECEMBER 2023
Publisher : Pascasarjana UM

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Abstract

History represents a set of facts from the past—events that were real and genuinely occurred in their time. Historical sources are crucial for reconstructing and generalizing history so that it can be comprehended by students. However, the limited availability of historical sources poses a significant challenge for students when learning history. This limitation can be addressed by utilizing museum websites as learning resources. This study aims to evaluate the effectiveness of museum websites as a learning resource for history education. Research and Development (R&D) methodology was employed in this study. The research sample consisted of 180 high school students selected from a population of 564 students in Pekanbaru City using purposive sampling techniques. Data collection was carried out through observations, expert validation questionnaires, product trial questionnaires, and historical thinking skills tests. The collected data were analyzed quantitatively using t-tests to assess the impact of museum websites as a learning resource for students. The results indicated that the developed museum website was valid and reliable, and the t-test analysis showed a significant impact of the museum website as a history learning resource, with a significance value of 0.000 (less than 0.05).
A web-based application to classify cendrawasih birds using deep learning Ardiyanto, Ardiyanto; Yuliska, Yuliska
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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Abstract

This research aims to develop a deep learning-based model to classify images of birds of paradise(Cendrawasih). Three different model architectures were employed in this study: Convolutional Neural Network (CNN),InceptionResNetV2, and MobileNetV2. The dataset consists of several species of birds of paradise, which wereprocessed using data augmentation techniques to enhance the variety and quality of the training data. The model trainingand evaluation processes were conducted using TensorFlow and Keras, with the application of callbacks such asEarlyStopping to prevent overfitting. Evaluation results indicate that the MobileNetV2 and InceptionResNetV2 modelsachieved the highest accuracy, with an average score above 90%. The system implementation involved developing a webapplication based on Flask and React JS to facilitate real-time image prediction. This study demonstrates theeffectiveness of using deep learning models for bird of paradise image classification and their potential for application inlimited computing environments.
PENGEMBANGAN APLIKASI MOBILE UNTUK DETEKSI CACAT BIJI KOPI ROBUSTA BERDASARKAN STANDAR NASIONAL INDONESIA Hanifah, Puja; Antoni, Hanif Ifran; Ramadhani, Shumaya Resty; Yuliska, Yuliska
Jurnal Komputer Terapan Vol 10 No 2 (2024): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v10i2.6472

Abstract

Coffee is one of the most important raw materials for beverages worldwide. Indonesia is one of the world's leading coffee producers and exporters, and coffee consumption is currently increasing. To maintain the taste of coffee, it is necessary to preserve the quality of coffee beans. The government has established the Indonesian National Standard (SNI) 01-2907-2008 regarding coffee beans. The process of determining the quality of beans is carried out by processors who manually follow the steps outlined in the SNI. Therefore, to accelerate the quality determination process and provide knowledge to the general public, the author has developed a mobile-based coffee bean quality detection application to determine the grade of coffee beans using an Android platform. This application incorporates a machine learning model based on object detection. For the machine learning implementation, TensorFlow and Convolutional Neural Network (CNN) architecture are used. From the training data results, an average accuracy of 84% was achieved, indicating that the application generally detects correctly. Additionally, testing was conducted on several smartphones and at varying detection distances. The testing results showed that the optimal distance for detection is 15 cm to obtain accurate and detectable data. Furthermore, the smartphone with the best performance was the Smartphone A30, featuring a 16 MP resolution camera.
IMPLEMENTASI SISTEM INFORMASI DONASI MINYAK JELANTAH (SIMINAH) BERBASIS DIGITAL DI KOTA DUMAI DENGAN PENDEKATAN LEAN SOFTWARE DEVELOPMENT Ramadhani, Shumaya Resty; Hanifah, Puja; Yuliska, Yuliska; Najwa, Nina Fadila; Hartanto, Boby; Syaliman, Khairul Umam
Jurnal Komputer Terapan Vol 10 No 2 (2024): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v10i2.6474

Abstract

Used cooking oil, or waste cooking oil, is the byproduct of repeatedly using cooking oil, which results in the formation of substances harmful to the body. Furthermore, improper waste cooking oil management poses a risk of environmental pollution. To address this issue, PT. Kilang Pertamina Internasional Refinery Unit II Dumai (PT. KPI RU II), through its Corporate Social Responsibility (CSR) program, initiated the "Sedekah Jelantah" program. This initiative involves the CSR division, several sub-districts in Dumai Timur, and the general public, aiming to raise awareness about environmental pollution and promote urban greening in Dumai. To support the program's implementation, a digital system is essential to efficiently manage the donation flow of waste cooking oil from upstream to downstream. Therefore, an integrated web and mobile-based information system, called Sistem Informasi Minyak Jelantah (SiMINAH), was developed using the Lean Software Development (LSD) methodology. Blackbox testing, user acceptance testing (UAT), and usability testing were conducted to ensure the system's quality. The black box testing and UAT results revealed that 100% of the application functions performed well and met stakeholder expectations. The usability test showed 87.3%, indicating that the system is highly feasible and meets user needs. All users provided positive feedback on SiMINAH, noting that it simplifies waste cooking oil donations and enhances management processes for local sub-districts and the Dumai city CSR team.
Muara Takus Temple in the digital dimension: increasing historical understanding through augmented reality Bunari, Bunari; Isjoni, Isjoni; Fikri, Asyrul; Yuliska, Yuliska
Journal of Education and Learning (EduLearn) Vol 19, No 2: May 2025
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v19i2.21472

Abstract

This research aims to investigate the impact of using augmented reality (AR) at Muara Takus Temple as a source of history learning for students' historical understanding. Experimental research methods were involved in this research. 88 secondary school students were used as samples. They were split into two groups, the experimental group and the control group, each of which had 44 randomly chosen participants. A history test and a questionnaire used for collecting data. Historical understanding data was analyzed using statistical analysis such as the t-test to compare differences between the experimental group and the control group. Data from the questionnaire was analyzed descriptively to identify user experience and satisfaction with the AR application. The computed t score of 6.21 is significantly higher than the 2.00 t table value. These findings indicate that the use of AR in history learning can increase student understanding and engagement. Apart from that, the use of AR also increases students' interest, motivation and interaction abilities and provides immersive experiences in history learning. This research confirms that AR has great potential to improve students' historical understanding while stimulating their interest, motivation, and interaction abilities in history subjects.
Development of Muara Takus Temple Augmented Reality as a History Learning Media to Improve Reading Skills in Historical Sources Bunari, Bunari; Fikri, Asyrul; Yuliska, Yuliska
JETL (Journal of Education, Teaching and Learning) Vol 9, No 1 (2024): Volume 9 Number 1 March 2024
Publisher : STKIP Singkawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26737/jetl.v9i1.4914

Abstract

This research aims to develop learning media based on Augmented Reality (AR) which helps students improve their reading skills in historical sources. This research uses the 4D research and development (R&D) method which consists of four stages, namely define, design, develop and disseminate. The sample of research subjects consisted of 3 material, media and language validator experts, 2 teachers, 60 and 120 class X students who assessed the practicality and effectiveness of the product being developed. Data was collected through expert validation, interviews with teachers, teacher and student response tests, and tests on students. while the N-Gain test is to evaluate media effectiveness. Expert validation results show that the criteria are very valid with an average score of 3.78. The teacher and student response test showed an average score of 3.90, which shows that AR media is practically used for learning history. The N-Gain Test score of 75% shows that students' ability to read historical sources is increasing. Therefore, using AR to develop historical source reading skills is feasible, practical, and useful.
Digital Museums as Learning Platforms: Assessing Their Impact on Historical Education Fikri, Asyrul; Bunari, Bunari; Yanuar Al-Fiqri, Yanuar; Yuliska, Yuliska
Jurnal Pendidikan Humaniora Vol 11, No 4: DECEMBER 2023
Publisher : Pascasarjana UM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um011v11i42023p240-251

Abstract

History represents a set of facts from the past events that were real and genuinely occurred in their time. Historical sources are crucial for reconstructing and generalizing history so that it can be comprehended by students. However, the limited availability of historical sources poses a significant challenge for students when learning history. This limitation can be addressed by utilizing museum websites as learning resources. This study aims to evaluate the effectiveness of museum websites as a learning resource for history education. Research and Development (R&D) methodology was employed in this study. The research sample consisted of 180 high school students selected from a population of 564 students in Pekanbaru City using purposive sampling techniques. Data collection was carried out through observations, expert validation questionnaires, product trial questionnaires, and historical thinking skills tests. The collected data were analyzed quantitatively using t-tests to assess the impact of museum websites as a learning resource for students. The results indicated that the developed museum website was valid and reliable, and the t-test analysis showed a significant impact of the museum website as a history learning resource, with a significance value of 0.000 (less than 0.05).
Analisis Sentimen pada Data Saran Mahasiswa Terhadap Kinerja Departemen di Perguruan Tinggi Menggunakan Convolutional Neural Network Yuliska, Yuliska; Qudsi, Dini Hidayatul; Lubis, Juanda Hakim; Syaliman, Khairul Umum; Najwa, Nina Fadilah
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 5: Oktober 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021854842

Abstract

Review atau saran dari customer dapat menjadi sangat penting bagi penyedia layanan, begitu pula saran dari mahasiswa mengenai layanan sebuah unit kerja di perguruan tinggi. Review menjadi penting karena dapat menjadi indikator kinerja penyedia layanan. Pengolahan review juga sangat penting karena dapat menjadi referensi untuk pengambilan keputusan dan peningkatan layanan yang lebih baik ke depannya. Penelitian ini menerapkan analisis sentimen pada data saran atau review mahasiswa terhadap kinerja unit kerja atau departemen di perguruan tinggi, yaitu Politeknik Caltex Riau. Analisis sentimen dilakukan dengan menggunakan Convolutional Neural Network (CNN) dan word embedding Word2vec sebagai representasi kata. CNN merupakan metode yang memiliki performa yang baik dalam mengklasifikasi teks, yaitu dengan teknik convolutional yang menggabungkan beberapa window kata pada kalimat dan mengambil window yang paling representative. Word2Vec digunakan sebagai representasi data saran dan inputan awal pada CNN, dimana Word2Vec merupakan dense vectors yang dapat merepresentasikan hubungan antar kata pada data saran dengan baik. Saran mahasiswa dapat mengandung kalimat yang sangat panjang, karena itu perpaduan Word2Vec sebagai representasi kata dan CNN dengan teknik convolutional, dapat menghasilkan representasi yang representative dari kalimat panjang tersebut. Penelitian ini menggunakan dua arsitektur CNN, yaitu Simple CNN dan DoubleMax CNN untuk mengidentifikasi pengaruh kompleksitas arsitektur terhadap hasil klasifikasi sentimen.  Berdasarkan hasil pengujian, DoubleMax CNN dapat mengklasifikasi sentimen pada saran mahasiswa dengan sangat baik, yaitu mencapai Akurasi tertinggi sebesar 98%, Recall 97%, Precision 98% dan F1-Score 98%. AbstractStudent’s reviews about department performance can be essential for a college for it can be used to evaluate the department performance and to take an immediate action to improve its performance. This research applies sentiment analysis in the student’s reviews of college department in Politeknik Caltex Riau. Convolutional Neural Network and Word2Vec are employed to analyze the sentiment. CNN is known for its good performance in text classification by applying a convolutional technique to the input sentences. Word2Vec is used as word representation and as an input to the CNN. Word2Vec are dense vectors which can represent the relationship between words excellently. Student’s reviews can be a long sentence; hence the combination of Word2Vec as word representation and CNN with convolutional technique can produce a representative fiture from that long sentence. This research utilizes two CNN architectures, which are Simple CNN dan DoubleMax CNN to identify the effect of the complexity of CNN architecture to final result. Our experiments show that DoubleMax CNN has a great performance in classifying sentiment in the student’s reviews with the best Accuracy value of 98%, Recall 97%, Precision 98% and F1-Score value of 98%.
Model Kewirausahaan Sosial di Lembaga Agriculture Entrepreneur Clinics Yuliska, Yuliska
Jurnal Pemberdayaan Masyarakat: Media Pemikiran dan Dakwah Pembangunan Vol. 2 No. 1 (2018): Jurnal Pemberdayaan Masyarakat
Publisher : UIN Sunan Kalijaga, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (58.489 KB) | DOI: 10.14421/jpm.2018.021-08

Abstract

Entrepreneur activities are very important, not only become tools for increasingly individual life quality but also to improve state qualities. For the reason, a country must be having entrepreneurship to very much in society. Hence, as an organization of mobility form entrepreneur motivation, Agriculture Entrepreneur Clinics (AEC) has had the commitment to improving the quality of people. With the field research, this article aims to describe of concept, implementation, and result who social entrepreneur in this institution of AEC. The result of research is showing that the concept of social entrepreneurship in the institution of AEC conducted with the way of revolving and advantageous between institution AEC and peasant in simultaneously. Meanwhile, in implementation is conducting of the activities just like shared rice excellent from the result of researching discovery, conducted of new training methods for the ways of plant, coaching, and buying rice for harvest farmers who then sold by institution AEC. Social entrepreneurship in the institution AEC is not only improving for management but also increasingly for society.Pentingnya berwirausaha tidak hanya menjadi alat untuk meningkatkan kualitas hidup secara individu, namun juga untuk meningkatkan kualitas negara. Atas dasar inilah sebuah negara harus memiliki pengusaha yang banyak. Dengan demikian, sebagai lembaga yang bergerak dalam bidang motivasi wirausaha, lembaga Agriculture Entrepreneur Clinics (AEC) memiliki komitmen untuk meningkatkan taraf hidup masyarakat. Melalui penelitian lapangan, maka artikel ini hendak mendeskripsikan konsep, implementasi dan hasil yang dicapai dalam berwirausaha sosial di lembaga AEC. Hasil penelitian menunjukkan bahwa konsep kewirausahaan sosial di lembaga AEC dilakukan dengan cara berputar dan sama-sama menguntungkan antara lembaga AEC dengan petani binaannya. Implementasinya, yaitu dengan melakukan kegiatan seperti membagikan padi unggul hasil temuan lembaga, melakukan pelatihan metode tanam terbaru, melakukan pendampingan, dan membeli padi hasil panen petani  yang kemudian dijual dalam bentuk beras oleh lembaga AEC.  Kewirausahaan sosial di lembaga AEC ini tidak hanya menguntungkan bagi lembaga saja, namun juga menguntungkan bagi masyarakat.
Co-Authors Al-Fiqri, Yanuar Antoni, Hanif Ifran Ardiyanto Ardiyanto Bunari, Bunari Dini Hidayatul Qudsi Fikri, Asyrul Hanifah, Puja Hartanto, Boby Isjoni Isjoni Juanda Hakim Lubis Khairul Umam Syaliman Najwa, Nina Fadila Najwa, Nina Fadilah Yanuar Al-Fiqri, Yanuar