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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Penelitian Pendidikan IPA (JPPIPA) Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Golden Age Jurnal Ilmiah Mandala Education (JIME) Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Jurnal PAUD: Kajian Teori dan Praktik Pendidikan Anak Usia Dini Jurnal Ilmiah Profesi Pendidikan Tamumatra : Jurnal Seni Pertunjukan Jurnal Sistem Komputer dan Informatika (JSON) ABSYARA: Jurnal Pengabdian Pada Masyarakat Jurnal Pendidikan dan Teknologi Indonesia Dharmas Education Journal (DE_Journal) Jurnal Teknologi Informasi dan Komunikasi JS (Jurnal Sekolah) Jurnal Informatika: Jurnal Pengembangan IT International Journal of Technology and Education Research INOVTEK Polbeng - Seri Informatika Indonesian Journal of Accounting and Governance Al-Bahtsu: Jurnal Penelitian dan Pendidikan Islam JPT : Jurnal Pendidikan Tematik
Suhirman, Suhirman
Universitas Hamzanwadi
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Peran Organisasi Pramuka Dalam Menumbuhkan Jiwa kepemimpinan Pada Mahasiswa di Universitas Islam Negeri Fatmawati Sukarno Bengkulu Izalia, Berti; Suhirman; Syahbudin, Rizkan
JPT : Jurnal Pendidikan Tematik Vol 3 No 2 (2022): Agustus
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/jpt.v3i2.531

Abstract

The formulation of the problem in this study are: 1. How is the role of the Scout organization in fostering leadership in students at Fatmawati Sukarno State Islamic University Bengkulu? 2. What are the supporting and inhibiting factors of the scouting organization in growing the spirit of leadership at Fatmawati Sukarno Bengkulu State Islamic University? The aims of this study were (1) to identify and understand the role of the Scout organization in fostering leadership spirit in students at Fatmawati Sukarno Bengkulu State Islamic University, (2) to determine the supporting and inhibiting factors of students in joining the Scout organization in fostering leadership spirit in students at Fatmawati Sukarno State Islamic University Bengkulu. To answer the above objectives, this study uses qualitative techniques, namely the process of systematically searching and compiling data obtained from interviews, field notes and other materials. The results of data analysis found (1) the implementation of scouting activities at Fatmawati state Islamic university carried out as in Generally, there are ceremonial sessions, seasons/materials, and practices and outbounds. (2) Scouting activities at Fatmawati state Islamic university have contributed a lot in fostering the self-reliance of students, responsibility and leadership spirit of the education center will be honed with scouting activities by making them pinru/wapinru in small things because it is very effective.
Inclusive Android-Based Solution: E-Book Reader Application with Text-To-Speech for Empowering People with Disabilities Muhammad Fathan Ramadhan; Suhirman
INOVTEK Polbeng - Seri Informatika Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/7k0sjc95

Abstract

One of the growing innovations is an e-book reader application equipped with a text-to-speech (TTS) feature. This research aims to design and develop an e-book reader application that can convert text into speech. The application is designed using the Agile software development method, which allows for iterations and continuous improvements based on user feedback. The main features of this application include the ability to adjust the speed and type of voice, as well as support for various e-book formats such as ePub, PDF, and TXT. The TTS implementation leverages available APIs, enabling high-quality and natural text-to-speech conversion. The evaluation of this application shows that users feel supported by the TTS feature, and the method used is quantitative. Testing results and feedback from early users indicate that this application not only improves accessibility but also provides a more flexible and comfortable reading experience. Therefore, this text-to-speech e-book reader application is expected to become an effective solution in supporting literacy and accessibility for all groups.
Disasterwatch: Android-Based Implementation of Yogyakarta Natural Disaster Monitoring Prediction Musthafa Anggoro; Suhirman
INOVTEK Polbeng - Seri Informatika Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/70vtet38

Abstract

The increasing threat of natural disasters in Yogyakarta, Indonesia, calls for technological solutions to predict and monitor disaster events more accurately. The development of the DisasterWatch application aims to provide a reliable disaster prediction tool, using machine learning and data mining-based predictive modeling methods. The app utilizes various machine learning algorithms to analyze historical disaster data as well as related risk factors, such as weather, seismic activity and soil conditions. Preliminary results show that this prediction system can improve the accuracy of early warnings, but further development is needed to ensure its accessibility and reliability for the community. In addition, to ensure its accessibility and reliability for the wider community, especially in disaster-prone areas. Collaboration with BMKG, and local communities is being sought to ensure this application can be practically implemented in the field
Integrated Payment System to Improve Financial Management Using Payment Gateway Muhamad Rico Aditya Prayoga; Suhirman
INOVTEK Polbeng - Seri Informatika Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/yjtjrn52

Abstract

This research focuses on developing an integrated payment system to improve the efficiency and transparency of financial transaction management. The system integrates a payment gateway that allows real-time validation of transactions and supports various payment methods such as bank transfers, digital wallets, and QRIS. The development of this system uses Waterfall methodology to provide flexibility in responding to changing user needs, and utilizes technologies such as the Laravel framework for web development and MySQL as a database, and Flutter for mobile applications used by members of the organization. The implementation of this system aims to overcome inefficiencies in the manual transaction process and reduce the potential for recording errors or misuse of funds. The development of this system follows a structured process, from needs analysis to system testing and evaluation. The results show that the integrated payment system successfully improves transaction management by automating payment validation and providing real-time reporting.
KAJIAN CSR MELALUI SUDUT PANDANG PERENCANAAN TRANSAKTIF: STUDI KASUS PERENCANAAN CSR DI INDONESIA Taufiq, Muhammad; Suhirman; Sofhani, Tubagus Furqon; Kombaitan, Benedictus
Indonesian Journal of Accounting and Governance Vol. 3 No. 2 (2019): DECEMBER
Publisher : School of Accountancy, University of Agung Podomoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36766/g9yg2k72

Abstract

CSR gain local community development. However, its practice is contradictive, partially not onlybeneficial but also it does not bring significant benefits. CSR planning as an integration tool for theinterest between corporate and local community is the main driving factor for its effectivityimplementation. The article presents a communicative approach in CSR planning by combining boththe concept of CSR and transactive planning. The general view that Corporate dominating CSRplanning is the main criticism which causes its policy has not a significant impact. How is theconceptualization of CSR planning approach, which communicates with the beneficiary community,this article aims to reveal its understanding. The study evaluates the transactive process on CSRplanning, through descriptive qualitative analysis of literature. The result proposes a CSR planningmodel based on transactive planning approach. The article also initiates that CSR planning is atransactive process which raised through knowledge transaction between planner and communitytoward towards legitimacy in increasing community support for company operations.
Analisis BERT-CNN untuk Klasifikasi Multi-Label Diskusi Keagamaan dan Asosiasi dengan Al-Qur’an dan Hadits Saputra, Candra Heru; Suhirman
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 12 No 6: Desember 2025
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2025126

Abstract

Penelitian ini menerapkan Natural Language Processing (NLP) dengan Bidirectional Encoder Representations from Transformers (BERT) yang dikombinasikan dengan Convolutional Neural Network (CNN) untuk klasifikasi multi-label diskusi keagamaan serta mengasosiasikannya dengan ayat Al-Qur’an dan Hadits. Dataset yang digunakan berasal dari diskusi keagamaan dan pertanyaan jamaah kepada ustaz yang diunggah di berbagai platform digital, seperti YouTube, Facebook, Instagram, dan situs web. Model NLP berbasis BERT digunakan untuk merepresentasikan teks secara kontekstual, sementara CNN digunakan untuk mengekstraksi fitur dan melakukan klasifikasi multi-label. Eksperimen dilakukan untuk mengeksplorasi kombinasi parameter dan pendekatan preprocessing teks guna meningkatkan akurasi klasifikasi. Hasil menunjukkan bahwa tuning hyperparameter meningkatkan F1-Score pada konfigurasi parameter ke-2 (E2) dari 0.7046 menjadi 0.7789 dan pada konfigurasi parameter ke-5 (E5) dari 0.7073 menjadi 0.7734, serta menurunkan Hamming Loss, yang mengindikasikan peningkatan akurasi prediksi label. Threshold 0.40 ditemukan sebagai nilai optimal untuk keseimbangan Precision dan Recall, yang berkontribusi terhadap peningkatan Subset Accuracy. Penelitian ini diharapkan dapat berkontribusi dalam pengembangan teknologi NLP berbasis bahasa Indonesia untuk klasifikasi multi-label teks keagamaan serta membuka peluang penerapan dalam aplikasi kecerdasan buatan guna meningkatkan akses informasi keagamaan secara cepat dan akurat.   Abstract This study applies Natural Language Processing (NLP) using Bidirectional Encoder Representations from Transformers (BERT) combined with Convolutional Neural Networks (CNN) for multi-label classification of religious discussions and their association with verses of the Qur’an and Hadith. The dataset was obtained from religious discussions and congregants’ questions addressed to ustaz, collected from various digital platforms such as YouTube, Facebook, Instagram, and websites. The BERT-based NLP model was employed to represent text contextually, while CNN was used to extract features and perform multi-label classification. Experiments were conducted to explore parameter combinations and text preprocessing approaches to improve classification accuracy. The results show that hyperparameter tuning increased the F1-Score in the second parameter configuration (E2) from 0.7046 to 0.7789 and in the fifth configuration (E5) from 0.7073 to 0.7734, while reducing the Hamming Loss, indicating an improvement in label prediction accuracy. A threshold of 0.40 was found to be the optimal value for balancing Precision and Recall, contributing to an increase in Subset Accuracy. This research is expected to contribute to the development of Indonesian-language NLP technology for multi-label classification of religious texts and to open opportunities for practical applications in artificial intelligence systems to enhance rapid and accurate access to religious information.
PENGARUH PENERAPAN NILAI-NILAI MULTIKULTURAL DAN RELIGIUSITAS TERHADAP SIKAP TOLERANSI SANTRI Ikhsannudin, Muhammad; Suhirman; Nurlaili
JS (JURNAL SEKOLAH) Vol. 10 No. 1 (2025): DESEMBER 2025
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/js.v10i1.68835

Abstract

Abstract: This study aims to determine the influence of multicultural values and religiosity on students’ tolerance attitudes at MTs Jâ-alHaq in Bengkulu City. A quantitative approach was used, with data collected through questionnaires distributed to 83 respondents. Data were analyzed using SPSS version 23. The results show that both multicultural values and religiosity significantly influence students' tolerance attitudes, both individually and collectively. The study highlights the importance of instilling multicultural and religious values in Islamic school environments to foster tolerance.  Keyword: tolerance, multiculturalism, religiosity, students, Islamic school  Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh nilai-nilai multikultural dan religiusitas terhadap sikap toleransi santri di MTs Jâ-alHaq Kota Bengkulu. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik pengumpulan data melalui angket kepada 83 responden. Analisis data dilakukan dengan bantuan SPSS versi 23. Hasil penelitian menunjukkan bahwa nilai-nilai multikultural dan religiusitas secara parsial maupun simultan berpengaruh signifikan terhadap sikap toleransi santri. Implikasi dari penelitian ini menekankan pentingnya penanaman nilai-nilai multikultural dan religiusitas dalam lingkungan madrasah. Kata Kunci: toleransi, multikultural, religiusitas, santri, madrasah
Analisis Sentimen Ulasan Pengguna pada Aplikasi Gojek Menggunakan Metode Deep Learning Berbasis Algoritma LSTM Sihotang, Raphael Hasiando; Suhirman
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 3 (2026): Maret 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i3.9390

Abstract

Aplikasi layanan transportasi seperti Gojek sudah menjadi bagian dari kehidupan sehari-hari masyarakat. Seiring bertambahnya jumlah pengguna, makin banyak juga ulasan yang masuk terkait pengalaman mereka menggunakan aplikasi ini. Namun, sering ditemukan ketidaksesuaian antara skor bintang yang diberikan dengan isi ulasan, seperti pemberian skor tinggi yang disertai keluhan atau pengalaman buruk. Hal ini dapat menyulitkan pihak Gojek dalam mengidentifikasi kendala layanan atau sentimen pengguna apabila hanya mengandalkan skor bintang. Salah satu solusi untuk membantu pihak Gojek dalam mengidentifikasi kendala layanan secara otomatis adalah menerapkan analisis sentimen berbasis algoritma Long Short-Term Memory (LSTM) terhadap ulasan pengguna di Google Play Store. Penelitian ini bertujuan untuk menerapkan algoritma LSTM dalam melakukan klasifikasi sentimen ulasan pengguna ke dalam tiga kategori, yaitu positif, netral, dan negatif. Kontribusi penelitian ini terletak pada pengembangan model klasifikasi tiga kelas berbasis LSTM dengan pelabelan manual berbasis konteks, penerapan Random Oversampling untuk menangani kelas minoritas, serta preprocessing teks mendalam dan embedding FastText untuk meningkatkan performa model. Hasil pengujian menunjukkan model LSTM mencapai akurasi 88.15%, dengan F1 score positif 73%, netral 7%, dan negatif 94%. Model Bidirectional LSTM sebagai pembanding mencapai akurasi 90.32%, dengan F1 score positif 78%, netral 12%, dan negatif 95%. Kelas netral dapat diprediksi oleh kedua model, namun masih sulit diprediksi secara akurat.
Evaluation of Global Islamophobia Trends: A Literature Review of Social Impacts and Countermeasures Moh Saleh; Fathurrahman Muhtar; Suhirman; Abdul Fattah; Ismail Tholib
International Journal of Technology and Education Research Vol. 4 No. 02 (2026): International Journal of Technology and Education Research (IJETER)
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v4i02.3441

Abstract

The phenomenon of Islamophobia has increased significantly in recent decades and has evolved from individual prejudice to a systemic global problem. This study aims to analyze global Islamophobia trends by examining the causal factors, social impacts, and the effectiveness of countermeasures. The method used is a qualitative approach through library research using content analysis and thematic analysis techniques on various reputable academic sources over the past ten years. The results indicate that the rise in Islamophobia is influenced by three main factors: the politicization of identity for the sake of power, biased media construction, and minimal social interaction exacerbated by disinformation in the digital space. The resulting impacts are multidimensional, including economic discrimination, mental health disorders, identity crises, and weakened social cohesion in multicultural societies. Meanwhile, countermeasures efforts, both through international policies and social programs, still face various challenges, particularly in implementation and reach. This study emphasizes that addressing Islamophobia requires a comprehensive and integrated approach, encompassing strengthening legal regulations, improving digital literacy, and developing sustainable cross-cultural dialogue. In this way, it is hoped that a more inclusive, just and tolerant global social order will be created.
IDENTIFIKASI PENYAKIT TANAMAN CABAI MENGGUNAKAN TEOREMA BAYES Suhirman Suhirman; Ana Dina Kalifia; Sumarsono Sumarsono; Muhammad Saharudin Aslam
Jurnal Teknologi Informasi dan Komunikasi Vol. 12 No. 1 (2022): Jurnal Teknologi Informasi dan Komunikasi
Publisher : Fakultas Ilmu Komputer dan Informatika - Universitas Nurtanio Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56244/fiki.v12i1.461

Abstract

Hama ataupun serangan penyakit pasti selalu ada dalam setiap pembudidayaan tanaman. Kondisi ini menjadi satu dari beberapa faktor turunnya tingkat produktifitas tanaman. Penurunan produktifitas ini menyebabkan harga komoditas naik. Pakar yang terbatas saat mendampingi petani untuk membantu dalam proses budidaya menyebabkan banyak tanaman cabai yang tak tertolong saat terkena hama atau penyakit tanaman. Pengembangan aplikasi yang dapat mengidentifikasi penyakit cabai untuk permasalahan diatas. Penelitian ini bertujuan untuk membantu petani meningkatkan produktifitas tanaman cabai. Proses pengembangan sistem aplikasi identifikasi penyakit tanaman cabai ini menggunakan penelusuran dengan mencari gejala dan ciri khas yang dialami tanaman cabai. Pengguna mendiagnosa penyakit kemudian untuk menghitung ketidakpastian, karena gejala yang diberikan pengguna tidak lengkap, maka digunakan metode teorema bayes. Hasil penelitian ini berupa sebuah sistem yang dapat digunakan untuk menentukan jenis penyakit berdasarkan gejala-gejala yang ada. Proses yang terjadi dalam aplikasi system ini yaitu memberikan keluaran nama penyakit/hama tanaman cabai serta cara yang dapat menghilangkan penyakit tersebut. Sehingga dapat membantu petani meningkatkan hasil produksinya. Kata kunci: Identifikasi Penyakit, Pakar, Cabai, Teorema Bayes
Co-Authors Abdul Aziz Abdul Aziz Abdul Fattah Abdullah Muzakar Ahmad Surkati Ahmad Yasar Ramdan alimni, alimni Ana Dina Kalifia Aris Munandar Aryaningsih, Sri Panca Aswasulasikin Aswasulasikin Bambang S. Purwoko DESY EKA CITRA DEWI Dina Agustiani Dina Apriana Duwi Purwati Esi Ayu Anggita Fathurrahman Muhtar Husnul Mukti Ida Ayu Putu Sri Widnyani Ikhsannudin, Muhammad Ismail Ismail Tholib Isnein Akbar Izalia, Berti Joko Sutopo Kombaitan, Benedictus M. Irfan Munawir Budisantoso Maulidian, Muslihatul Moh Saleh Mona Nopitasari Muhamad Rico Aditya Prayoga Muhammad Fathan Ramadhan Muhammad Husni Muhammad Saharudin Aslam Muhammad Taufiq Musthafa Anggoro Najamuddin Najamuddin Nengsih, Lestari Novitasari Utami Nur Adiyah Yuliastri Nurdin, Zurifah Nurlaili Nurlaili Nurlaili Penti Amelia Ismi Rafika Dewi Septia Rahmi, Syafira Martaninda Ramdhani, Sandy Riza Fatma Arifa Rohyana Fitiriani Rohyana Fitriani Rusli Rusli Sapitria Ningsih Saputra, Candra Heru Sihotang, Raphael Hasiando Siti Aziza Ilyani Siti Ruhana Sitti Rohmi Djalilah Sofhani, Tubagus Furqon Sri S. Harjadi Sudarsono Sumarsono Sumarsono Syahbudin, Rizkan Yenni Pusvita Dewi yola Novriyana Yul Alfian Hadi Yul Alfian Hadi . Zuhut Ramdani Zuhut Ramdhani