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Improving Indonesian Named Entity Recognition for Domain Zakat Using Conditional Random Fields Widiyanti, Nur Febriana; Sukmana, Husni Teja; Hulliyah, Khodijah; Khairani, Dewi; Oh, Lee Kyung
JOIN (Jurnal Online Informatika) Vol 8 No 2 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i2.898

In Indonesia, where the majority of the population is Muslim, one of the obligations of a Muslim is zakat. To reduce illiteracy about zakat among Muslims, they need to have access to basic information about it. In order to facilitate the acquisition of this information, this study utilized named entity recognition (NER) and defined 12 named entity classes for the zakat domain, including the pillars of Islam, various types of zakat, and zakat management institutions. The Conditional Random Fields method was used for testing Indonesian-NER in three scenarios. In the specific context of the Zakat domain, NER can extract information about organizations, individuals, and locations involved in collecting and distributing Zakat funds. This information can improve the Zakat system’s efficiency and transparency and support research and analysis on Zakat-related topics. The average performance evaluation of the Indonesian-NER model showed a precision of 0.902, recall of 0.834, and an F1-score of 0.867.

Performance Improvement for Hotspot Prediction Model Using SBi-LSTM-XGBoost and SBi-GRU-XGBoost Sukmana, Husni Teja; Aripiyanto, Saepul; Alamsyah, Aryajaya; Henry, Amir Acalapati; Nandaputra, Riandi
JOIV : International Journal on Informatics Visualization Vol 9, No 6 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.6.3047

Forest fires damage ecosystems and harm all living beings, often triggered by low rainfall that worsens fire spread. Climatic factors such as the El Nino–Southern Oscillation (ENSO) also contribute to reduced rainfall and prolonged dry seasons. This study aims to enhance the performance of fire prediction models to support forest fire mitigation. Modified artificial neural network algorithms—Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) with bidirectional stacked layers—are employed as baseline models. An experimental approach was used to compare the performance of LSTM and GRU models with their ensemble versions, where XGBoost was added to improve prediction accuracy. The results show that the proposed ensemble algorithms significantly outperform the baseline models in multivariate fire prediction. The SBi-LSTM-XGBoost and SBi-GRU-XGBoost models demonstrated more than a 40% performance improvement compared to the original SBi-LSTM and SBi-GRU models. In multivariate modelling, the ensemble models achieved an R-value of 1.0000, with an average MAE of 0.0007, RMSE of 0.0009, and MAPE of 0.0008. This study also identified limitations of the LSTM and GRU models in processing ENSO data due to their non-linearity and weak correlation with hotspot data. As a contribution, our experiments show that integrating XGBoost into LSTM and GRU models effectively overcomes these limitations, significantly improving hotspot prediction accuracy and supporting better forest fire mitigation strategies.

An Evaluation Of Helpdesk With Gamification Using Indeks Kepuasan Masyarakat (IKM) Muhtadibillah, Achmad; Sukmana, Husni Teja; Rozy, Nurul Faizah
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 1 No 1 (2019): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v1i1.8

Gamification is a concept of game element that is applied to non-game contexts, Helpdesk is an IT (Information Technology) section. It is first contacted by a user when someone has questions or problems related to IT services. UIN Syarif Hidayatullah Jakarta as a tertiary institution also has a help desk facilities as the tools to solve problems related to IT service. Based on study, the problem that common occurs is, the user is aware of the helpdesk service facilities on campus, but they prefer to make complaints directly to the relevant division. The concept of gamification with elements of points, badges, levels, leaderboard, and rewards is applied to the helpdesk system through the RAD (Rapid Application Development) development method. The method of evaluating the helpdesk system is done in two stages, first pre-test and second post-test. It through two application which is game based helpdesk and non-game based help desk applications. Using Indeks Kepuasan Masyarakat (IKM) as the calculation method of gamification helpdesk and End User Computing Satisfaction (EUCS) as an indicator service of the IKM that will be tested.

Prototyping ITSDI Journal Center Menggunakan Tools Invision Untuk Mewujudkan Creative Innovation Soft Skill Di Era Industri 4.0 Sukmana, Husni Teja
ADI Bisnis Digital Interdisiplin Jurnal Vol 1 No 1 (2020): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v1i1.119

Berdasarkan Peraturan Menteri Riset, Teknologi, dan Pendidikan Tinggi Republik Indonesia Nomor 20 Tahun 2017, Tridharma Perguruan Tinggi adalah kewajiban perguruan tinggi untuk menyelenggarakan pendidikan, penelitian, dan pengabdian kepada masyarakat. Kegiatan penelitian ilmiah ini merupakan pencapaian hasil riset yang secara rutin dilaksanakan oleh Direktorat Jenderal Penguatan Riset dan Pengembangan yang dipublikasikan oleh pengelola jurnal ilmiah. penulisan sebuah karya ilmiah adalah salah satu hal yang sangat berpengaruh untuk meningkatkan kualitas pendidikan di Indonesia. Namun, didalam penerapannya kelemahan utama pada penulisan karya ilmiah disebabkan oleh kurang nya motivasi dosen untuk meneliti dan minimnya pengetahuan penulisan sesuai dengan standar yang telah telah ditetapkan. Selain itu, Sivitas akademika merupakan sumber daya yang dituntut untuk memiliki kemampuan yang lebih dari masyarakat biasa karena kapasitasnya yang lebih intens berinteraksi dengan ilmu pengetahuan. Hal tersebut sudah sepatutnya mampu mengaktualisasikan kompetensinya bukan sekedar kegiatan penelitian, tetapi mampu untuk menulis hasil penelitian tersebut dalam media publikasi baik yang bertaraf nasional, regional, maupun internasional. Dalam upaya meningkatkan kualitas, kuantitas penelitian dan pengabdian kepada masyarakat serta sebagai langkah untuk mendukung program PERMENRISTEKDIKTI Nomor 20 Tahun 2017, penulis berupaya memberikan hasil penelitian untuk mendorong pengembangan inovasi dengan mengedepankan teknologi berupa Penerapan ITSDI Journal Center sebagai platform penyedia layanan pelatihan dan materi penulisan karya ilmiah secara online. Pemanfaatan teknologi pembelajaran iLearning ini akan dipadukan dengan unsur entertainment yang diharapkan mampu membantu masyarakat dalam melaksanakan kegiatan pelatihan peningkatan keterampilan soft skill penulisan secara menyenangkan yang dapat diakses kapanpun dan dimanapun. Pada penelitian ini ditemukan 3 (tiga) permasalahan dan didukung dengan 3 (tiga) metode penelitian yaitu metode waterfall, studi pustaka, dan Analisis SWOT. Hasil akhir penelitian ini ialah adanya implementasi terhadap prototyping ITSDI Journal Center sebagai media pelatihan penulisan karya ilmiah secara online guna mewujudkan creative innovation di Era 4.0.

Modern Technology Advances with Benefits for Humanity to Demonstrate Design with Conventional Sources Islamic Nuke Puji Lestari Santoso; Amitkumar Dudhat; Husni Teja Sukmana; Aditya Mardiansyah; Marviola Hardini
International Journal of Cyber and IT Service Management (IJCITSM) Vol. 1 No. 1 (2021): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

There is an urgent interest among Muslims to participate in broader religious thought activities regarding the nature of modern technology in response to the refutation presented by the ideals of current technology. The impact and use on understanding modern technology cannot be limited. It is so much more pervasive because it conditions ideas, creates our goals and desires. In order to measure modern technology from within the framework of Islamic ethics and design the Islamic paradigm, this is very important by looking at psychological, spiritual, social, moral and circles of the latest postmodernist technology. For holistic insight and moral enhancement of technology, fortitude and practical appropriateness to respond to the latest (contemporary) incident produced due to technology that is holy and ethical poor. Maqashid al-syar'ah hold a useful asset. Muslims should review their traditional notions of Advantage (maṣlaḥah) along with take advantage of these fundamental religious ethics. The design of technological development is beneficial for mankind, because modern technology is infused through It is having a plan all by itself regarding good activities. The intense problem of the Islamic background is which kind of human needs (maṣlaḥah) intense a religion legal discussion can deal with the set of technological values. Muslim jurists, when assessing modern technology, often make use of expressions that describe the optimistic predictions of technology when it comes to human success. This resulted in most of them interpreting human benefit (maṣlaḥah) in terms of technology and issuing fatwas. This makes them be given a particularistic technique to the effect of cutting-edge generation with out considering the effect that current era would possibly have on Muslim life. In this article, it is argued that the contextual-important philosophy of contemporary-day era describes one of the preconditions for outlining what constitutes a reputable human interest (maṣlaḥah). This may be accomplished whilst on the identical time increasing the scope of Islamic Goals (maqashid al-syar'ah) to consist of critical lectures. It links the dual hermeneutic action between the Islamic (time) conception of human goodness (maṣlaḥah) and the axiological contextual perception of the problem during the model of technological development.

Modern Technology Advances with Benefits for Humanity to Demonstrate Design with Conventional Sources Islamic Nuke Puji Lestari Santoso; Amitkumar Dudhat; Husni Teja Sukmana; Aditya Mardiansyah; Marviola Hardini
International Journal of Cyber and IT Service Management (IJCITSM) Vol. 1 No. 1 (2021): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v1i1.8

There is an urgent interest among Muslims to participate in broader religious thought activities regarding the nature of modern technology in response to the refutation presented by the ideals of current technology. The impact and use on understanding modern technology cannot be limited. It is so much more pervasive because it conditions ideas, creates our goals and desires. In order to measure modern technology from within the framework of Islamic ethics and design the Islamic paradigm, this is very important by looking at psychological, spiritual, social, moral and circles of the latest postmodernist technology. For holistic insight and moral enhancement of technology, fortitude and practical appropriateness to respond to the latest (contemporary) incident produced due to technology that is holy and ethical poor. Maqashid al-syar'ah hold a useful asset. Muslims should review their traditional notions of Advantage (maṣlaḥah) along with take advantage of these fundamental religious ethics. The design of technological development is beneficial for mankind, because modern technology is infused through It is having a plan all by itself regarding good activities. The intense problem of the Islamic background is which kind of human needs (maṣlaḥah) intense a religion legal discussion can deal with the set of technological values. Muslim jurists, when assessing modern technology, often make use of expressions that describe the optimistic predictions of technology when it comes to human success. This resulted in most of them interpreting human benefit (maṣlaḥah) in terms of technology and issuing fatwas. This makes them be given a particularistic technique to the effect of cutting-edge generation with out considering the effect that current era would possibly have on Muslim life. In this article, it is argued that the contextual-important philosophy of contemporary-day era describes one of the preconditions for outlining what constitutes a reputable human interest (maṣlaḥah). This may be accomplished whilst on the identical time increasing the scope of Islamic Goals (maqashid al-syar'ah) to consist of critical lectures. It links the dual hermeneutic action between the Islamic (time) conception of human goodness (maṣlaḥah) and the axiological contextual perception of the problem during the model of technological development.

CNN-LSTM with Multi-Acoustic Features for Automatic Tajweed Mad Rule Classification Nenny Anggraini; Yusuf Rahman; Achmad Nizar Hidayanto; Husni Teja Sukmana
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1062

The rules of mad recitation in the Qur’an are a crucial aspect of tajwīd, governing the lengthening of vowel sounds that affect both meaning and recitational accuracy. Despite its importance, there is currently no reliable automatic system capable of classifying mad rules based on voice input. This study proposes a deep learning-based approach using a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) model to automatically classify mad rules from Qur’anic recitations. The research follows the CRISP-DM methodology, covering data understanding, preparation, modeling, and evaluation stages. Acoustic features were extracted from 3,816 annotated audio segments of Surah Al-Fātiḥah, combining Mel-Frequency Cepstral Coefficients (MFCC), Chroma, Spectral Contrast, and Root Mean Square (RMS) to represent phonetic and prosodic attributes. The CNN layers captured spatial characteristics of the spectrum, while LSTM layers modeled temporal dependencies of the audio. Experimental results show that the combination of all four features achieved an accuracy of 97.21%, precision of 95.28%, recall of 95.22%, and F1-score of 95.25%. These findings indicate that multi-feature integration enhances model robustness and interpretability. The proposed CNN-LSTM framework demonstrates potential for practical deployment in voice-based tajwīd learning tools and contributes to the broader field of Qur’anic speech recognition by offering a systematic, ethically grounded, and data-driven approach to mad classification.

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