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All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika Jurnal Ilmiah Farmasi EKSAKTA: Journal of Sciences and Data Analysis Jurnal Fakultas Ekonomi : OPTIMAL Jurnal Ilmu Dasar Jurnal Matematika & Sains PROFIT : Jurnal Administrasi Bisnis Economic Education Analysis Journal Prosiding SI MaNIs (Seminar Nasional Integrasi Matematika dan Nilai-Nilai Islami) Jurnal Pendidikan Ekonomi Jurnal Pemberdayaan Masyarakat Madani (JPMM) AL-IDARAH: JURNAL KEPENDIDIKAN ISLAM Jurnal Ekonomi dan Bisnis JITK (Jurnal Ilmu Pengetahuan dan Komputer) Unisda Journal of Mathematics and Computer Science (UJMC) IRJE (Indonesian Research Journal in Education) JURNAL EKONOMI PENDIDIKAN DAN KEWIRAUSAHAAN Jurnal Riset Kesehatan Poltekkes Depkes Bandung JURNAL PENA EDUKASI MANAZHIM Jurnal Inovasi dan Teknologi Pembelajaran (JINOTEP) Kajian dan Riset Dalam Teknologi Pembelajaran Jurnal Pendidikan Administrasi Perkantoran (JPAP) Tafkir: Interdisciplinary Journal of Islamic Education Enthusiastic : International Journal of Applied Statistics and Data Science Abimanyu: Journal of Community Engagement Indonesian Journal of Educational Development (IJED) Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis Jurnal Pendidikan Administrasi Perkantoran (JPAP) Journal of Office Administration : Education and Practice Smart Society: Community Service and Empowerment Journal Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Indonesian Journal of Society Development (IJSD) Journal of Economics Jurnal Inovasi Pendidikan Agama Islam Science and Education Journal JOTTER Pajak dan Manajemen Keuangan Emerging Statistics and Data Science Journal CEJou Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis
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Student Behavior in Using Artificial Intelligence for Canva Instant Presentation Syahputri, Raissa Ayuni; Nugraha, Jaka
Journal of Office Administration : Education and Practice Vol. 4 No. 2 (2024): August
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/joaep.v4n2.p119-134

Abstract

This study aims to determine student behaviour in using artificial intelligence for Canva instant presentations. This study was conducted by students of the Office Administration Education study program, class of 2020, with a sample size of 250 from a population of 175 students determined using the Krejcie table with a significance level of 0.05. Data were analyzed using Structural Equation Modeling-Generalized Structured Component Analysis (SEM-GSCA) with the GSCA Pro application. The resulto f this study shows that perceived usefulness does not significantly influence attitude towards Canva. Perceived ease of use has a significant influence on attitude towards Canva. Innovativeness does not have a significant influence on attitude towards Canva. Perceived enjoyment has a significant influence on attitude towards Canva. Efficiency has a significant influence on attitude towards Canva. Attitude towards Canva has a significant influence on intention to use Canva. In conclusion, this study determines how AI in Canva instant presentations improves quality and efficiency and identifies factors influencing student behavior in its use.
System Quality and Information Quality to Use of Simpus: Technology Acceptance Model Perspective Putrawan, Syach Fitra Wahyu; Nugraha, Jaka
Journal of Office Administration : Education and Practice Vol. 4 No. 2 (2024): August
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/joaep.v4n2.p107-119

Abstract

This research aims to analyze the influence of system quality and information quality on using the community health center management information system at the UPT Tanggunggunung Community Health Center. In the context of primary health services in Indonesia, community health centers have a crucial role, so the effective implementation and use of campus are essential. System quality and information quality are two key factors that are believed to influence the level of use of community health center management information systems. The research method used is quantitative with explanatory research. The subjects of this research were 54 employees of the Tanggungunung Community Health Center with a sampling technique using saturated samples. Data was collected through a questionnaire distributed to the Tanggunggunung Community Health Center employees—data analysis techniques using Structural Equation Modeling-Generalized Structured Component Analysis (SEM-GSCA). The research results show that system quality has a significant favorable influence on node usage. This indicates that the better the quality of the system which includes aspects such as reliability, responsiveness, and ease of use, the higher the level of use of the Simpus by community health center employees. In addition, information quality was found not to have a significant positive influence on node usage. This means that the accurate, relevant, and timely information provided by Simpus still does not increase the user's tendency to utilize the system.
Building Digital Literacy for Informal Sector Workers in Malaysia Meylia Elizabeth Ranu; Pahlevi, Triesninda; Hermanto, Febrika Yogie; Nugraha, Jaka
Indonesian Journal of Society Development Vol. 3 No. 6 (2024): December 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ijsd.v3i6.12946

Abstract

The purpose of this proposal refers to providing knowledge, understanding, and implementation of digital administrative literacy for migrant workers to be wise in using digital media for population administration activities. The presence of migrant workers abroad has its own challenges in storing population documents. One effort to realize this is by conducting training for migrant workers in Malaysia. The method of activity is community education by using training and approaches to targeted partners, implementing training and evaluation. From this activity, data was taken to see the achievement of objectives using questionnaire techniques. Data processing with descriptive analysis provides information that: 1) this training activity is very beneficial for Migrant Workers, 2) migrant workers have increased their digital administrative literacy competencies, 3) there is new knowledge and experience gained by training participants about the use of digital technology in population administration in daily activities, and 4) the attendance rate of activity participants reached 100%
Inovasi Pembelajaran Pecahan Berbasis Metakognisi Untuk Meningkatkan Berpikir Kritis di Sekolah Dasar Wicaksono, Samsiar Tri Bagus; Indra Dewi, Radeni Sukma; Ekawati, Ratna; Nugraha, Jaka
JURNAL PENA EDUKASI Vol 12, No 1 (2025): April 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpe.v12i1.2471

Abstract

The critical thinking skills of elementary school students in mathematics learning, espe-cially fraction materials, are still a significant challenge. This study aims to identify and explore the application of metacognition-based learning that can improve students' criti-cal thinking skills. Using the Systematic Literature Review (SLR) method of 15 scientific articles, this research examines innovative learning models that integrate metacognition in fraction learning. The research findings show that the implementation of metacognition-based learning significantly improves students' critical thinking skills in several analyzed studies. Problem-Based Learning (PBL), Numbered Head Together (NHT), and STEM-PJBL approaches proved effective in facilitating the development of critical thinking skills. In addition, the use of technology-based interactive media, such as the “Merica” application, also contributed positively to students' understanding of the concept of fractions. The implication of this research is the need for curriculum develop-ment that is more integrated with metacognitive strategies, especially in mathematics learning at the elementary school level. This implication provides practical guidance for teachers and curriculum developers in designing more effective and targeted metacognition based learning. Thus, this research is expected to encourage the development of mathematics learning innovations that are more effective and student centered
ASPECT-BASED SENTIMENT ANALYSIS ON TWITTER TWEETS ABOUT THE MERDEKA CURRICULUM USING INDOBERT Andi Wafda; Dhomas Hatta Fudholi; Jaka Nugraha
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 3 (2025): JITK Issue February 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i3.5692

Abstract

The curriculum has changed once again with the introduction of the Merdeka Curriculum to address learning loss in the education sector. Its implementation has elicited various responses, such as support for granting teachers the freedom to innovate, focusing on essential materials, offering diverse learning methods, and fostering student creativity. However, criticism has also arisen, including issues related to teachers’ lack of understanding, parents' concerns, and the increased workload on students due to numerous projects. To improve educational policies, an in-depth analysis of these responses is essential. This study aims to analyze public sentiment toward the Merdeka Curriculum by applying Aspect-Based Sentiment Analysis (ABSA) using data from Twitter. The research focuses on four main aspects: Teaching Modules (MA), Education Reports (RP), the Merdeka Teaching Platform (PMM), and the Strengthening of the Pancasila Student Profile Projects (P5). Data were collected using specific and relevant keywords for each aspect, followed by preprocessing, labeling, and filtering based on sentiment and aspect. The final dataset comprised 2,359 valid tweets. The ABSA model was developed using IndoBERT with fine-tuning, then tested and evaluated. The results showed that the aspect classification model achieved an accuracy of 97%, F1 score of 97%, recall of 97%, and precision of 97%. Meanwhile, the sentiment classification model achieved an accuracy of 85%, F1 score of 85%, recall of 85%, and precision of 85%. This ABSA model is expected to assist in monitoring public responses and provide valuable insights for policy development, particularly within the context of the Merdeka Curriculum.
The Influence of Network Exposure, Social Influence and Recognition Towards the Adoption of E-commerce in College Students Isoliani, Ines Etha; Nugraha, Jaka; Ouariach, Fatima Zahra; Ouariach, Soufiane
Journal of Office Administration : Education and Practice Vol. 4 No. 3 (2024): November
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/joaep.v4n3.p150-161

Abstract

This study aims to analyze what factors can influence students to continue using gamification services on the Shopee e-commerce application. The study was conducted on Office Administration students Class of 2020-2023 with a sample of 150 from the total population of 252 students determined using a Krecjie table with a signification level of 0.05. in the process of analyzing research data using Structural Equation Modeling-Generalized Structured Component Analysis (SEM-GSCA) using gamification has a significant positive influence on social influence and recognition. Social influence has a significant positive effect on attitude, besides that recognition also has a significant positive effect on attitude. Furthermore, the attitude has a significant positive effect on continued use intention. This research can able to provide a better understanding, especially on the application of gamification in e-commerce by examining social influence in games and recognition to continue using  the Shopee e-commerce platform.
Penerapan Model Experiential Learning Terhadap Peningkatan Keterampilan Bermain Musik Ansamble Peserta Didik Pada Mata Pelajaran Seni Budaya Dan Prakarya Di Sekolah Dasar Nugraha, Jaka
Science and Education Journal (SICEDU) Vol. 1 No. 2 (2022): Science and Education Journal 2022
Publisher : Faculty Of Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/sicedu.v1i2.19

Abstract

This study aims to determine the effect of applying the Experiential Learning learning model better on improving students' musical ensemble playing skills compared to improving students' musical ensemble playing skills using conventional learning models. This research is motivated by the problem of the low skills of students playing music ensembles at SD Negeri Cicalengka X. students have little skills in playing musical instruments. Teachers only teach what they are good at without proper preparation for learning and are only dominated by single activities, namely singing, because the learning model is less attractive, learning is still teacher-centered, so that students are less active and lack mastery of skills in the learning process. The type of research used is a quasi-experimental design. Type Non Randomize Control Group Preetest and Posttest Design. The population in this study were all fifth grade students of Cicalengka State Elementary School with the total number of classes being 2 classes, while the samples were V A and V B with 30 students in each class. The data was processed using SPSS, by testing the hypothesis of normality test, homogeneity test, and different test. The results of the study showed that the application of the Experiential Learning learning model could improve the skills of playing music in the ensemble of elementary school students. The improvement of the musical ensemble playing skills of elementary school students who received learning using the Experiential Learning learning model was better than those who received acceptable conventional learning.
Pengelompokan Peserta Program Merdeka Belajar-Kampus Merdeka (MBKM) Berdasarkan Perguruan Tinggi dengan Analisis Cluster Non Hierarki Metode K-Means : Pengelompokan Peserta Program Merdeka Belajar-Kampus Merdeka (MBKM) Wananda, Titania Tasya; Jaka Nugraha
Emerging Statistics and Data Science Journal Vol. 1 No. 2 (2023): Emerging Statistics and Data Science Journal
Publisher : Statistics Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/esds.vol1.iss.2.art26

Abstract

Merdeka Belajar-Kampus Mengajar (MBKM) merupakan program Kementrian Pendidikan dan Kebudayaan yang bertujuan agar menghasilkan kualitas Pendidikan yang lebih baik seperti mahasiswa yang memiliki kemampuan analisis yang tajam dan pemahaman komprehensif dalam mengembangkan diri. MBKM terdiri dari beberapa subprogram diantaranya yaitu magang, studi independent, kampus mengajar, dan lainnya. Jumlah mahasiswa peserta program magang, studi independent, dan kampus merdeka berjumlah 40.944 mahasiswa, sedangkan total mahasiswa secara keseluruhan sebesar 9.188.101 mahasiswa. Tujuan dari penelitian ini untuk mengetahui bagaimana tingkat partisipasi mahasiswa dari setiap perguruan tinggi dalam program MBKM dengan menggunakan analisis cluster K-Means. Pada penelitian ini terbentuk 2 cluster dengan jumlah anggota cluster 1 sebanyak 17 perguruan tinggi dan cluster 2 sebanyak 1359 perguruan tinggi. Cluster 1 memiliki karakteristik peserta program magang dan studi independent tergolong rendah, sedangkan peserta kampus mengajar tergolong tinggi. Cluster 2 memiliki karakteristik peserta program magang dan studi independent tergolong tinggi, sedangkan peserta kampus mengajar tergolong rendah.
Analisis Peramalan Jumlah Kedatangan Pesawat Internasional di Bandar Udara Soekarno-Hatta dengan Menggunakan Metode Dekomposisi-Arima: Analisis Peramalan Jumlah Kedatangan Pesawat Internasional di Bandar Udara Soekarno-Hatta M.Rahmat Ramadhan; Jaka Nugraha
Emerging Statistics and Data Science Journal Vol. 1 No. 1 (2023): Emerging Statistics and Data Science Journal
Publisher : Statistics Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/esds.vol1.iss.1.art17

Abstract

Bandara Internasional Soekarno-Hatta adalah bandara terbesar dan terluas di Indonesia. Bandara ini merupakan pusat bandara yang dikelola di bawah otoritas PT.Angkasa Pura II. Bandara Soekarno Hatta saat ini mengelola beberapa terminal, antara lain Terminal 1 (A,.B,.C), Terminal 2 (D,.E,.F) dan Terminal 3 yang dikhususkan untuk penerbangan internasional. Seiring berjalannya waktu, jumlah pesawat yang masuk semakin banyak dan bervariatif. Oleh karena itu, gambaran jumlah pesawat untuk periode yang akan datang sangat diperlukan oleh pihak bandara untuk membuat suatu kebijakan sehingga dapat memanajemen hal tersebut. Sehingga diperlukan suatu analisis yang mampu memberi gambaran tentang jumlah pesawat dimasa periode yang akan datang. Untuk mengetahui perkembangan kedatangan pesawat Internasional, maka dalam penelitian ini akan dilakukan analisis time series dengan metode Dekomposisi-ARIMA untuk melakukan peramalan yang didasarkan pada data pesawat Internasional dalam 5 tahun kebelakang yaitu tahun 2017-2021, dan menggunakan variabel tunggal yaitu kedatangan pesawat Internasional dengan menggunakan nilai kesalahan terendah. Model utama yang didapatkan yaitu (2,1,1) dan terdapat 3 model pendukung lain dimana yang terbaik adalah model (1,1,0). Dari model tersebut dilakukan peramalan selama 12 periode ke depan yaitu dari bulan Januari-Desember 2022 dan diketahui tingkat akurasinya sebesar 91,069716 atau 91,0% artinya peramalan tersebut akurat.
Pengaruh Analisis Kinerja Keuangan terhadapProfitabilitas Bank Perkreditan Rakyat di Indonesia Periode 2017-2022: Pengaruh Analisis Kinerja Keuangan terhadapProfitabilitas Bank Perkreditan Rakyat di Indonesia Periode 2017-2022 -, Azizah; Jaka Nugraha
Emerging Statistics and Data Science Journal Vol. 2 No. 2 (2024): Emerging Statistics and Data Science Journal
Publisher : Statistics Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/esds.vol2.iss.2.art13

Abstract

BPR memiliki peranan penting dalam menjaga stabilitas keuangan. Dimana sasaran nasabahnya merupakan sektor riil yang akan mengalami pertumbuhan apabila perkreditan yang diberikan oleh BPR tersalurkan secara merata.Dilandasi fakta bahwa terdapat pertumbuhanpenyaluran kredit oleh BPR, bahkan pada tahun 2022 angka penyaluran kredit semakin bertumbuh 11.35%dibandingkan pada tahun 2021. Sehingga, penelitian ini dilakukan untuk melihat pengaruh dari kinerja keuangan berupa rasio likuiditas yang di wakili oleh variabel LDR (Loan to Deposit Ratio)dan rasio kredit oleh NPL (Non-Performing Loan) terhadap profitabilitas dengan variabel yang digunakan ialah ROA (Return on Asset) pada tahun 2017-2022 untuk BPR di Indonesia dengan menggunakan metode Analisis Regresi Linear Berganda. Berdasarkan analisis tersebut, didapatkan bahwa LDR dan NPL, serta LDR dan ROA,memiliki hubungan yang positif dengan kategori sangat lemah. Namun untuk NPL dan ROA memiliki hubungan negatif yang kuat. Selain itu juga didapatkanmodel regresi, dimana model tersebut menjelaskan variabel LDR dan NPL secara bersama-sama signifikan terhadap ROA, namun pengaruh paling signifikan terhadap ROA adalah variabel LDR, yaitu rasio kredit yang bermasalah.Sebesar 63.23% nilai-nilai dari variabel ROA mampudijelaskan oleh LDR dan NPL dalam model.
Co-Authors -Ullah, Attia Aman A'idatul Islahiah AA Sudharmawan, AA ACHMAD FAUZAN Achmad, Sarifa Ade Eka Anggraini Andi Wafda Anik Kurnia Ningsih ARIANTI, ANA ARINI HANDAYANI, FARAH Arum Pujiastuti ARUMA NURFITRIANA, MEGA Azizah - Azizah, Istighfarin Rochmatul Azlyna, Via Nur BIMA SAKTI, MUHAMAD Bima Yatna Anugerah Ramadhani Brillian Rosy BUDI SETIAWAN Chandrasari, Agnes Monica Dwi Choirul Nikmah CHURRIYAH, UCI Devi Ratnasari Dhomas Hatta Fudholi Durinta Puspasari Dwirana, Adinda Bilqisth Dzakiyyah, Nuraini Effendi, Muhammad Idris Faza Muhammad Sukarsono Febrika Yogie Hermanto Febriyanti, Syintya FITRI LISTIANI, ARUM Fitri Nugraheni Gunawan, Firli Putri Hablinawati, Laela Hafilda Anisa Handini, Han Tantri Hasan Basri Hazmi, Chelsea Refma Valmay Al Imtitsal Puspa Wahyu Nabillah Inna Koblianska Irwan Nuryana Kurniawan Is Fatimah Isoliani, Ines Etha KURNIAWATI DWI SAFITRI, AGUS Kusdi Rahardjo Latifah, Ambayun Lestari, Ika Dwi M.Rahmat Ramadhan Maharani, Shania Puspita MAITA SARI, DITA Meisyaroh Catur Wulandari Meylia Elizabeth Ranu Muhammad Arif Muhammad Hasan Sidiq Kurniawan Muhammad Muhajir, Muhammad Muhammad Raid Arrofi Muktiwijaya, Aldi Wilaga Ninda Firnia Febrinda NIRWANASARI, YULI Nurjanah, Rita NURUL HIDAYAH Octavia, Agnes Christa Belliem Orlensyah, Ira Ouariach, Fatima Zahra Ouariach, Soufiane PRATIWI ANGGUNTARI, YUSI Prawesti, Inna Purnama Sari, Yuni Putrawan, Syach Fitra Wahyu Putri Avrilusita, Cinta Davia Rachmad Febrian Radeni Sukma Indra Dewi Rafly Saputra Rani, Lala Aulia Sanria Ratna Ekawati Rern Jay Hung Rern-Jay Hung Reza Maulana Riska Pristiani rohmawati, erna Safitri, Anna Nur Sahira Zandi, Ahmad SAIFUL ISLAM, ZAKKY Sari, Yuni Purnama Shirly Rizki Kusumaningrum siti wulandari Sri Haryatmi Sri Haryatmi Sri Haryatmi Sugesti, Anggun Suhadak Suhadak suryo Guritno Suryo Guritno Susanti, Erik Syahputri, Raissa Ayuni Tarsono Tarsono Triesninda Pahlevi Uray Hety Humaira Wananda, Titania Tasya Wardani, Vindi Kusuma Wardatul Hayati Wicaksono, Samsiar Tri Bagus Widji Dwi Rohana Zhumrotul Muniroh