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All Journal Ahkam: Jurnal Ilmu Syariah TEKNIK INFORMATIKA Jurnal Didaktik Matematika Jurnal Ilmiah FIFO Jurnal Pilar Nusa Mandiri Journal of Applied Data Sciences Indo-MathEdu Intellectuals Journal Mimbar Agama Budaya International Journal of Social Science, Education, Communication and Economics Cendikia Pendidikan EDUKASI
Khairani, Dewi
Universitas Islam Negeri Syarif Hidayatullah Jakarta
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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CO2 Emission Forecasting in Indonesia Until 2030: Evaluation of ETS Smoothing Prediction Models and Their Implications for Global Climate Change Mitigation Aripiyanto, Saepul; Khairani, Dewi; Hartono, Ambran
Journal of Applied Data Sciences Vol 5, No 1: JANUARY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i1.154

Abstract

The objective of this study is to predict CO2 emissions in Indonesia until 2030 utilizing the ETS smoothing prediction model in line with the pressing demand for viable climate change mitigation approaches. Through an assessment of the model's efficacy, several fundamental evaluation metrics have been identified. The research findings reveal that the Mean Absolute Error (MAE) stands at 146,154.40, presenting an overview of the average absolute disparity between the projected and actual CO2 emission values. The Mean Squared Error (MSE) of 21,838,251,772.37 characterizes the mean of the squared variances between projections and actual values, gauging the variability of predictive errors. The Root Mean Squared Error (RMSE) at 147,777.71, derived from the square root of MSE, reflects the degree of uncertainty in CO2 emission predictions. Simultaneously, the Mean Absolute Percentage Error (MAPE) of 7.24% provides an overview of the average percentage of absolute discrepancies between projections and actual values. Projections suggest that CO2 emissions could potentially reach 1 million tons in 2030. This evaluation furnishes an in-depth comprehension of the precision of the ETS smoothing model in the context of substantial emission escalation. The implications on the challenges of climate change mitigation become increasingly crucial, underscoring the immediacy of preemptive measures and sustainable policies. While the model delineates emission trends, it is imperative to acknowledge that these forecasts are subject to various influences, such as policy and technological shifts. Consequently, this study underscores the necessity for heightened awareness and the formulation of more efficacious policies to address the potential surge in CO2 emissions in the forthcoming years.
Revolutionizing Digit Image Recognition: Pushing the Limits with Simple CNN and Challenging Image Augmentation Techniques on MNIST Hulliyah, Khodijah; Abu Bakar, Normi Sham Awang; Aripiyanto, Saepul; Khairani, Dewi
Journal of Applied Data Sciences Vol 4, No 3: SEPTEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i3.104

Abstract

This study aims to apply Convolutional Neural Networks (CNN) and image augmentation techniques in digit recognition using the MNIST dataset. We built a CNN model and experimented with various image augmentation techniques to improve digit recognition accuracy. The results showed that the use of CNN with image augmentation techniques was effective in improving digit recognition performance. In the data collection stage, we used the MNIST dataset consisting of images of handwritten digits as training and testing data. After building the CNN model, we apply image augmentation techniques such as rotation, shift, and flipping to the training data to enrich the data variety and prevent overfitting. The evaluation results show that the CNN model that has been trained with image augmentation techniques produces significant accuracy, with a maximum accuracy of 99.81%. We also performed an ensemble of several CNN models and found that this approach increased the digit recognition accuracy to 99.79%. This research has the potential for further development. Recommendations for further research include exploring more specific and complex image augmentation techniques, as well as using more challenging datasets. In addition, future research may consider improvements to the CNN architecture used or combining it with other methods such as recurrent neural networks (RNN).
The Role of Students in Realizing Justice in Community Life Yunita, Sri; Pebrija, Putri; Tessalonika, Jelita; Khairani, Dewi; Mian, Mian
International Journal of Social Science, Education, Communication and Economics (SINOMICS JOURNAL) Vol. 2 No. 5 (2023): December
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sj.v2i5.231

Abstract

Many societal injustices occur due to lack of education/awareness in society. This makes society blind to justice. The purpose of this research reveals the importance of the role of students in realizing justice in society. The method used by researchers is the descriptive method by collecting library data, reading and taking notes in carrying out journal preparation. The results achieved are that students have an important role in realizing justice in society.
Penerimaan Sistem Pembelajaran Bahasa Arab Dengan E-Learning dan Gim di Masa Pandemi COVID-19 Dewi Khairani; Muhammad Iqbal; Dede Rosyada; Zulkifli Zulkifli; Fitri Mintarsih
EDUKASI: Jurnal Penelitian Pendidikan Agama dan Keagamaan Vol. 19 No. 3 (2021): EDUKASI: Jurnal Penelitian Pendidikan Agama dan Keagamaan
Publisher : Badan Litbang dan Diklat Kementerian Agama RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32729/edukasi.v19i3.958

Abstract

Abstract This study discusses the acceptance of the use of e-learning and games in learning Arabic during the COVID-19 pandemic. Arabic learning experienced considerable challenges in learning before the pandemic and now with the pandemic, this process has even greater challenges which ultimately require an Arabic language learning method that adapts to the generation, situation and condition of the people who are experiencing the COVID-19 pandemic so that learning can still be carried out with good and fun outcomes. This research through its five hypotheses which are built based on the Technology Acceptance Model (TAM) theory, shows that with the use of e-learning and games, a positive perception of convenience which then supports usefulness and ultimately affects the attitudes and behaviour of users in learning Arabic can be proven by the acceptance of the five the hypothesis. The consistent use of e-learning and games in learning, especially Arabic learning and the implementation of e-learning and games to support the curriculum are expected to improve student learning experiences for the better and also increase the actual use of both methods.   Abstrak Penelitian ini membahas tentang penerimaan penggunaan e-learning dan gim dalam pembelajaran Bahasa Arab selama Pandemi COVID-19. Pembelajaran Bahasa Arab mengalami tantangan yang cukup besar dalam pembelajaran sebelum pandemi dan sekarang dengan adanya pandemi, proses ini memiliki tantangan yang lebih besar yang akhirnya membutuhkan sebuah metode pembelajaran bahasa Arab yang menyesuaikan dengan situasi generasi, situasi dan kondisi masyarakat yang sedang mengalami pandemi COVID-19 agar pembelajaran tetap dapat dilaksanakan dengan hasil keluaran yang baik dan menyenangkan. Penelitian ini melalui kelima hipotesisnya yang dibangun berdasarkan teori Technology Acceptance Model (TAM), menunjukkan bahwa dengan penggunaan e-learning dan gim, persepsi positif tentang kemudahan yang kemudian menunjang kebermanfaatan dan akhirnya mempengaruhi sikap dan perilaku pengguna dalam pembelajaran bahasa Arab dapat dibuktikan dengan penerimaan kelima hipotesis tersebut. Penggunaan e-learning dan gim secara konsisten dalam pembelajaran khususnya pembelajaran Bahasa Arab dan implementasi e-learning dan gim untuk mendukung kurikulum diharapkan dapat meningkatkan pengalaman belajar siswa menjadi lebih baik dan juga meningkatkan penggunaan keduanya secara aktual.
Enhancing Speech-to-Text and Translation Capabilities for Developing Arabic Learning Games: Integration of Whisper OpenAI Model and Google API Translate Dewi Khairani; Tabah Rosyadi; Arini Arini; Imam Luthfi Rahmatullah; Fauzan Farhan Antoro
JURNAL TEKNIK INFORMATIKA Vol 17, No 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v17i2.41240

Abstract

This study tackles language barriers in computer-mediated communication by developing an application that integrates OpenAI’s Whisper ASR model and Google Translate machine translation to enable real-time, continuous speech transcription and translation and the processing of video and audio files. The application was developed using the Experimental method, incorporating standards for testing and evaluation. The integration expanded language coverage to 133 languages and improved translation accuracy. Efficiency was enhanced through the use of greedy parameters and the Faster Whisper model. Usability evaluations, based on questionnaires, revealed that the application is efficient, effective, and user-friendly, though minor issues in user satisfaction were noted. Overall, the Speech Translate application shows potential in facilitating transcription and translation for video content, especially for language learners and individuals with disabilities. Additionally, this study introduces an Arabic learning game incorporating an Artificial Neural Network using the CNN algorithm. Focusing on the “Speaking” skill, the game applies to voice and image extraction techniques, achieving a high accuracy rate of 95.52%. This game offers an engaging and interactive method for learning Arabic, a language often considered challenging. The incorporation of Artificial Neural Network technology enhances the effectiveness of the learning game, providing users with a unique and innovative language learning experience. By combining voice and image extraction techniques, the game offers a comprehensive approach to enjoyably improving Arabic speaking skills.
Mengelola Waktu dengan Efektif: Strategi untuk Meningkatkan Produktivitas Hidup Bagi Anak Madrasah Diniyah Takmiliyah Sembiring, Putri Pebrija; Sianturi, Mian; Khairani, Dewi; Sinaga, Jelita Tessalonika; Naibaho, Yuni Naftalia; Sari, Imelda; Manullang, Thomas Ridoansih; Yusnadi, Yusnadi; Subaedah, Sitti
Indo-MathEdu Intellectuals Journal Vol. 6 No. 2 (2025): Indo-MathEdu Intellectuals Journal (In-Press)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v6i2.2976

Abstract

This study aims to understand the time management strategies employed by students at Madrasah Diniyah Takmiliyah and to identify the factors that influence their ability to manage time. This research uses a qualitative descriptive approach with a case study type. The data collection techniques used are observation, interviews, and documentation. The collected data was analyzed using a thematic analysis method, which consisted of three main stages: data reduction, data presentation, and conclusion drawn. The results of the study indicate that students at Madrasah Diniyah Takmiliyah still face difficulties in managing their time efficiently. Factors such as procrastination, inaccurate time estimation, and lack of priority are the main obstacles in student time management. This study also found that well-defined goals, internal motivation, and commitment to self-improvement are significant supporting factors in student time management. By applying effective time management strategies and understanding the factors that influence them, students at Madrasah Diniyah Takmiliyah can improve their learning productivity and achieve their expected academic goals.
Mengelola Waktu dengan Efektif: Strategi untuk Meningkatkan Produktivitas Hidup Bagi Anak Madrasah Diniyah Takmiliyah Sembiring, Putri Pebrija; Sianturi, Mian; Khairani, Dewi; Sinaga, Jelita Tessalonika; Naibaho, Yuni Naftalia; Sari, Imelda; Manullang, Thomas Ridoansih; Yusnadi, Yusnadi; Subaedah, Sitti
Indo-MathEdu Intellectuals Journal Vol. 6 No. 2 (2025): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v6i2.2976

Abstract

This study aims to understand the time management strategies employed by students at Madrasah Diniyah Takmiliyah and to identify the factors that influence their ability to manage time. This research uses a qualitative descriptive approach with a case study type. The data collection techniques used are observation, interviews, and documentation. The collected data was analyzed using a thematic analysis method, which consisted of three main stages: data reduction, data presentation, and conclusion drawn. The results of the study indicate that students at Madrasah Diniyah Takmiliyah still face difficulties in managing their time efficiently. Factors such as procrastination, inaccurate time estimation, and lack of priority are the main obstacles in student time management. This study also found that well-defined goals, internal motivation, and commitment to self-improvement are significant supporting factors in student time management. By applying effective time management strategies and understanding the factors that influence them, students at Madrasah Diniyah Takmiliyah can improve their learning productivity and achieve their expected academic goals.
Improving Digital Safety and Ethical Awareness through Community Service Initiatives in Educational Environments Rozy, Nurul Faizah; Bakti, Andi Faisal; Azhari, Muhammad; Khairani, Dewi; Sulistiya, Noeni Indah; Zulhazmi, Abraham Zakky
Mimbar Agama Budaya Vol 42, No 1 (2025)
Publisher : UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/mimbar.v42i1.47145

Abstract

This study presents the outcomes of a community service initiative conducted by Informatics Engineering students of UIN Jakarta, focusing on the enhancement of digital literacy—particularly digital safety and digital ethics—within the cultural context of Indonesian educational institutions. The program engaged nine schools across Jakarta, Tangerang City, South Tangerang, and Bogor, regions characterized by diverse educational and socio-cultural backgrounds. Emphasizing culturally sensitive approaches to digital interaction, the program provided participants with knowledge and ethical frameworks aligned with local values and community norms. Post-program evaluations revealed a marked increase in digital literacy, with an average score of 4.28 on a 5-point scale. Furthermore, 47.1% of participants rated the module on data security at the highest level. However, cultural barriers were also identified, including hesitancy from some institutions to adopt formal digital supervision structures, often due to traditional perceptions of trust and authority. Despite these challenges, the initiative proved effective in cultivating culturally-aware digital behavior, preparing participants to navigate the digital era while remaining rooted in local ethical standards.
Use Case Point Activity-Based Costing and Adjusted Function Point for Software Cost Estimation Ahmad Fauzan Haryono; Andria Farhan; Dewi Khairani; Supardi Razak; Fitri Mintarsih
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i2.46669

Abstract

Effective software development planning is vital across various industries, and inadequate planning can lead to project failures. A key part of this planning is accurately estimating effort and costs, which is crucial for staying within budget and meeting deadlines. This research compares two methods – Use Case Point Activity Based Costing (with 21 complexity factors) and Adjusted Function Point (with 16 complexity factors) – for estimating costs versus actual values. The analysis reveals that the Use Case Point method had a 23.52% deviation from actual costs, while the Adjusted Function Point method had a 33.35% deviation. These findings provide essential reference points during software project planning, ensuring estimates closely align with actual values based on project-specific attributes. This deviation underscores the importance of precision and selecting appropriate methodologies tailored to each project’s unique characteristics. Ultimately, this research equips businesses and project managers with a robust financial prudence framework and enhances the likelihood of project success.
Implementation of IoT Technology on MySmartTrash Waste Bank Application Viva Arifin; Siti Ummi Masruroh; Rizka Amalia Putri; Fitri Mintarsih; Nenny Anggraini; Nurhayati; Dewi Khairani
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i2.46673

Abstract

The effectiveness of Waste Bank in addressing national waste management challenges is limited by inherent shortcomings. Conventional processes, which heavily rely on manual labor and record-keeping, often face logistical challenges and inefficiencies that limit the effectiveness of waste banks. This paper presents the MySmartTrash application, a solution that integrates IoT technology to enhance waste management practices through a smart waste bank system. By utilizing IoT-enabled sensors, the application allows users to monitor waste levels in real time, thereby optimizing waste collection processes and promoting effective waste segregation. This study employed IoT Design Methodology and Prototyping. Through a SWOT analysis of existing waste management applications, the research identifies strengths and opportunities for enhancing waste management systems. Usability testing also highlighted the significance of various features. This study offers insights for future research into IoT applications in environmental sustainability and waste management systems.
Co-Authors Abu Bakar, Normi Sham Awang Ahmad Fauzan Haryono Ambran Hartono Amenobelia Sitepu Amrullah, Faiq Fawwaz Andi Faisal Bakti & Venny Eka Meidasari Andria Farhan Annisa Daffa Oktriyana Arini Arini Aripiyanto, Saepul Aulia, Atqia Bisri Nursa Fadillah Dede Rosyada Diah Setiawati Ellrica Dewi Herawati Jana Fadillah, Bisri Nursa Fauzan Farhan Antoro Fitri Mintarsih Hendra Bayu Susueno Imam Luthfi Rahmatullah Imam Tri Wibowo Imelda Sari Izwita Dewi I’im Umamil Khoiri Khodijah Hulliyah Kusmana Kusmana Lestania Simatupang Manullang, Thomas Ridoansih Melly Br Bangun Mian, Mian Miftakhul Nuuril Azizah Muhammad Ammaridho Romdhan Siregar Muhammad Azhari Muhammad Iqbal Naibaho, Yuni Naftalia Nashrul Hakiem Nenny Anggraini Nurhayati Nurlatifah Nurlatifah Nurul Faizah Rozi Pebrija, Putri Rena Latifah Rizal Broer Bahaweres Rizka Amalia Putri Rozi, Nurul Faizah Rozy, Nurul Faizah Sahat Saragih SANI SUSANTI Sembiring, Putri Pebrija Sianturi, Mian Sinaga, Jelita Tessalonika Siti Ummi Masruroh Sri Yunita Subaedah, Sitti Subchi, Imam Sulistiya, Noeni Indah Supardi Razak Tabah Rosyadi Tessalonika, Jelita Viva Arifin Winda Tarihoran Wisnu Ari Mukti Yusnadi, Yusnadi Zawawi, Khoirunnisya Zulhazmi, Abraham Zakky Zulkifli Zulkifli Zulkifli Zulkifli