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All Journal Foristek JUSIFO : Jurnal Sistem Informasi JURNAL IQRA´ Sistemasi: Jurnal Sistem Informasi Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JOURNAL OF APPLIED INFORMATICS AND COMPUTING Edukasi Islami: Jurnal Pendidikan Islam Technomedia Journal Islamic Management: Jurnal Manajemen Pendidikan Islam AT-TURAS: Jurnal Studi Keislaman Jurnal Sistem Cerdas Jurnal Ilmiah Mandala Education (JIME) JISIP: Jurnal Ilmu Sosial dan Pendidikan JUPE : Jurnal Pendidikan Mandala JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal EDUMATIC: Jurnal Pendidikan Informatika Jurnal Review Pendidikan dan Pengajaran (JRPP) ScientiCO : Computer Science and Informatics Journal EDUTEC : Journal of Education And Technology Khazanah Theologia Khazanah Theologia Jurnal Pendidikan Kewarganegaraan Al Marhalah Jurnal Teknik Informatika (JUTIF) JIHAD : Jurnal Ilmu Hukum dan Administrasi ENGLISH FRANCA : Academic Journal of English Language and Education PERTANIAN TROPIK Proceeding Muhammadiyah International Public Health and Medicine Conference Jurnal Pendidikan JELTEC: Journal of English Language Teaching, Literature and Culture Journal Education and Government Wiyata Transcendent Journal of Mathematics and Applications Celebes Journal of Language Studies Jurnal Kecerdasan Buatan dan Teknologi Informasi JER Moderation: Journal of Islamic Studies Review Jurnal Teknologi Rekayasa Informasi dan Komputer
Syahrullah Syahrullah
UIN Sunan Gunung Djati Bandung
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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EXPLORING THE PROHIBITION OF SMOKING IN ISLAM: A LITERATURE REVIEW ON QUR'ANIC VERSES, SUNNAH, AND I'TIBAR PERSPECTIVES WITH EMPHASIS ON HEALTH IMPLICATIONS Rosyada, Dede; Filhaq, Raghib; Fadlilah, Dina Rahma; Nahuda, Nahuda; Syahrullah, Syahrullah
Muhammadiyah International Public Health and Medicine Proceeding Vol. 3 No. 1 (2023): PROCEEDING MUHAMMADIYAH INTERNATIONAL PUBLIC HEALTH AND MEDICINE CONFERENCE - T
Publisher : Fakultas Kesehatan Masyarakat Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61811/miphmp.v3i1.607

Abstract

Smoking is prohibited based on the meanings indicated in the text of the Qur'an and Sunnah and the correct I'tibar (logic). The evidence from the Qur'an is His words Qs. Al-Baqarah 195. This research uses the literature review method in which researchers conduct a series of studies involving various kinds of information derived from literature such as books, journals, documents, and so on with the aim of finding various kinds of theories and ideas which can then be formulated results in accordance with the objectives of the research carried out in order to obtain conclusions about smoking in the perspective of Islam and health. The results of various sources of literature show that Islam has explained well in the Qur'an and hadith regarding smoking in the view of Islam and health. Because smoking can lead to destruction, which damages the entire body system and causes disease from this reason it is very clear that smoking is prohibited or haram. Therefore, avoid cigarettes and get used to healthy living
Design and Implementation of a Customer Relationship Management System for Medium-Sized Digital Printing Enterprises Wongkar, Noel Marcell Jonathan; Wirdayanti, Wirdayanti; Syahrullah, Syahrullah; Rinianty, Rinianty; Lapatta, Nouval Trezandy
JUSIFO : Jurnal Sistem Informasi Vol 10 No 2 (2024): JUSIFO (Jurnal Sistem Informasi) | December 2024
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v10i2.25023

Abstract

This study investigates the design and implementation of a Customer Relationship Management (CRM) system specifically developed to address the operational challenges faced by medium-sized enterprises in the digital printing sector, with Rio Digital Printing as a case study. The research identifies key issues such as communication gaps and the lack of real-time order tracking, which negatively impact customer satisfaction. Employing a prototyping methodology, the system was iteratively refined with active user participation, ensuring alignment with stakeholder requirements. Key features include real-time order tracking, automated notifications, and a comprehensive interactive dashboard to support data-driven decision-making. The results demonstrate that the CRM system significantly enhances operational transparency, improves customer engagement, and fosters loyalty. This study contributes to the academic discourse by addressing the underexplored application of CRM systems in small and medium-sized enterprises, presenting a scalable framework for adaptation in similar industries. The findings also provide practical implications, advocating for digital transformation as a strategy to improve competitiveness in dynamic market environments.
Usability Analysis of The Student Service Information System at The Faculty of Engineering Tadulako University Using Heuristic Evolution and The System Usability Scale (SUS) Noviantika, Noviantika; Syahrullah, Syahrullah; Laila, Rahma; Lapatta, Nouval Trezandy; Wirdayanti, Wirdayanti
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 1 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i1.3532

Abstract

The Student Service Information System is defined as a system designed to assist students, faculty, and administration at Tadulako University's Faculty of Engineering in managing various academic aspects. This research identifies issues or obstacles users face while utilizing the website. The usability evaluation employs the Heuristic Evaluation method and the System Usability Scale (SUS). Based on the research conducted with 100 respondents, all active students at Tadulako University, the usability measurements revealed significant findings. According to the Heuristic Evaluation method, which utilizes 10 principles, areas requiring improvement were identified in qualifications B1.2, B3.3, B8.2, B10.2, and B10.3. Recommendations for enhancements include adding a notification feature, ensuring the search function is easily discoverable, selecting appropriate color combinations, and improving the placement of the user guide. The System Usability Scale yielded a score of 50, categorizing the website as "OK" on the adjective scale, "D" on the grade scale, and "Marginal" on the acceptability scale, with a net promoter score indicating a "Passive" reception.
Application of Webqual 4.0 and Importance Performance Analysis Methods in Analyzing The Quality of Information Technology SIPENDEKAR Services Kartika, Rina; Syahrullah, Syahrullah; Rasmita, Hajra; Rinianty, Rinianty; Yanti, Wirda; Lapatta, Nouval Trezandy
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 1 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i1.3569

Abstract

Information technology plays a very important role, especially in the field of education, one of which is through the use of websites. The Department of Information Engineering at Tadulako University is one of the universities that utilizes websites, one of which is the information system for administrative services and final assignments (SIPENDEKAR). Sipendekara is designed to facilitate the submission of titles, guidance, and proposal exams, final exams, and thesis exams. But so far, there has been no research that measures the quality of the sipendekar website based on perceptions of usability, information quality, and service interaction quality using the IPA method. This study aims to determine the quality of Sipendekar services using the webqual 4.0 method as the basis for determining the questionnaire. Then the Importance Performance Analysis method to analyze questionnaire data to identify attributes that have met and have not met user expectations. The results showed an average level of conformity of 92.63%. The average gap analysis result is -0.33. The results of the Cartesian quadrant there are 4 attributes in the first quadrant that are prioritized for improvement and there are 9 attributes that achieve a high level of satisfaction and only need to maintain quality.
Implementasi Pengolahan Citra dan Machine Learning Untuk Klasifikiasi Jenis Penyakit Pada Daun Padi Najar, Abdul Mahatir; Abu, Maulidyani; Resnawati, Resnawati; Syahrullah, Syahrullah
Transcendent Journal of Mathematics and Applications Vol 3, No 1 (2024)
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/tjoma.v3i1.38642

Abstract

Identification of diseases from images of plants is one of the interesting research areas in the agriculture field, for which machine learning concepts from the computer science field can be applied. This article presents a prototype system for the detection and classification of rice diseases based on images of infected rice plants. This prototype system was developed after detailed experimental analysis of various techniques used in image processing operations. We consider three rice plant diseases: Bacterial Leaf Blight, Blast, and Tungro. We used the Otsu method to remove the background. To enable accurate extraction of features, we combined Gabor and Sobel techniques. In the classification process, we used five machine learning techniques: Random Forest (RF), Support Vector Machine (SVM), Nave Bayes (NB), and Quadratic Discriminant Analysis (QDA). We empirically evaluated these methods, achieving 77%, 50%, 60%, and 37% accuracy, respectively.
Analysis of the Use of MTCNN and Landmark Technology to Improve the Accuracy of Facial Recognition on Official Documents Chandra, Ferri Rama; Ngemba, Hajra Rasmita; Hamid, Odai Amer; Lapatta, Nouval Trezandy; Hendra, Syaiful; Nugraha, Deny Wiria; Syahrullah, Syahrullah
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8814

Abstract

A face recognition system consists of two stages: face detection and face recognition. Detection of features such as eyes and mouth is important in facial image processing, especially for official documents such as identity cards. To ensure identification accuracy, this research applies facial landmark extraction technology and MTCNN (Multi-Task Cascaded Convolutional Neural Network). The purpose of this research is to evaluate the accuracy of MTCNN in detecting facial features at the Department of Population and Civil Registration (dukcapil) Palu City, using facial landmarks and waterfall methods as an application development methodology. The evaluation results show that MTCNN has high face recognition accuracy and good positioning ability regardless of what GPU in use as long have right CPU and System Operation. In comparison, the Viola-Jones algorithm is effective for high-speed applications, while SSD offers balanced performance with GPU device requirements for optimal performance. While MTCNN proved to be effective, challenges still exist, such as false positives and false negatives, especially in poor lighting conditions and extreme poses. Image and camera quality, including resolution and facial expression, also affects detection accuracy. These findings suggest that the application of MTCNN can improve face recognition accuracy for official documents, although it requires addressing existing challenges. With this technology, it is expected that errors in facial recognition can be minimized, resulting in more reliable data that meets the standards for issuing identity documents. This research contributes to the development of a more accurate and efficient face recognition system for personal identification applications.
ANALYSIS OF THE SCIENTIFIC LEARNING APPROACH IN ISLAMIC RELIGIOUS EDUCATION TO ENHANCE STUDENTS CRITICAL THINKING Faisal, Faisal; Syahrullah, Syahrullah; Atmowidjoyo, Sutardjo; Abdurrohman, Firman Muhammad
Edukasi Islami: Jurnal Pendidikan Islam Vol. 13 No. 04 (2024): Edukasi Islami: Jurnal Pendidikan Islam
Publisher : Sekolah Tinggi Agama Islam Al Hidayah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30868/ei.v13i04.6994

Abstract

Background: The rapid advancement of knowledge and technology in the 21st century necessitates a shift in educational methods, particularly in Islamic Religious Education (PAI). Observations reveal a concerning gap in critical thinking skills among students at PKPPS Minhajurrosyidin Jakarta. Purpose: This study seeks to explore how a scientific approach can address this deficiency effectively. This study focuses on the application of the scientific approach in Islamic Religious Education (PAI) at PKPPS Minhajurrosyidin Jakarta, aiming to enhance students' critical thinking skills. The background highlights the low critical thinking skills among students, supported by pre-survey data. Method: The research method employed is a qualitative approach, including document studies, interviews, observations, and Focus Group Discussions (FGD). Result: The findings indicate that the scientific approach effectively improves student engagement, understanding, and motivation. The average student score increased from 70 to 85, and 21st-century skills such as critical thinking, communication, and collaboration developed well. Conclusion: The study concludes that the scientific approach not only enhances academic understanding but also non-academic skills, such as communication and collaboration. Suggestions for future research include applying the scientific approach in other educational contexts to test the generalization of these findings and developing more innovative learning strategies to improve the effectiveness of Islamic religious education in various educational settings
PUBLIC SENTIMENT ANALYSIS OF 'DIRTY VOTE' DOCUMENTARY FILM ON TWITTER USING NAÏVE BAYES WITH GRID SEARCH OPTIMIZATION Bagaskara, Febrian Chrissma; Syahrullah, Syahrullah; Hendra, Andi; Lamasitudju, Chairunnisa; Rinianty, Rinianty
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 6 (2024): JUTIF Volume 5, Number 6, Desember 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.6.2682

Abstract

The film "Dirty Vote" provides a realistic depiction of alleged fraud issues within Indonesia's democratic system, released ahead of the 2024 elections. This has sparked various public opinions, both in favor of and against the film, potentially affecting the stability of Indonesia’s democratic system. The aim of this research is to analyze the public's reaction to the "Dirty Vote" documentary, which could serve as a consideration for assessing public awareness in rationally responding to a film and improving the quality of democracy in Indonesia. This research will test the accuracy of data used in classification using the Naive Bayes Classifier based on collected Twitter data. The evaluation results of the Naive Bayes model for sentiment classification showed an accuracy of 86%, with a precision of 84% and a recall of 91%. When compared to the implementation of hyperparameter tuning using grid search with a stratified k-fold combination and parameter configurations for alpha: [0,1], binarize: [0.0], and fit prior: [true, false], better results were obtained with an accuracy of 90%, a precision of 87%, and a recall of 94%. This demonstrates that using parameter optimization methods from grid search can help improve the accuracy of a classification model. It is hoped that this research will contribute significantly to the development of Indonesia’s democratic system, particularly in raising public awareness to think more rationally and critically when evaluating and analyzing a film.
KLASIFIKASI JENIS KAYU BERDASARKAN CITRA SERAT KAYU MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK Dwimanhendra, Muhammad Rifaldi; Syahrullah, Syahrullah; Joefrie, Yuri Yudhaswana; Angreni, Dwi Shinta; Azhar, Ryfial; Nugraha, Deny Wiria; rezandy Lapatta, Nouval; Najar, Abdul Mahatir
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5726

Abstract

Kayu merupakan sumber daya alam yang sangat penting bagi industri mebel atau furnitur. Pemilihan jenis kayu yang tepat sangat krusial dalam industri mebel untuk menentukan kualitas hasil produksi. Pemilihan kayu secara manual memiliki risiko kesalahan yang dapat berdampak negatif pada kualitas akhir produk mebel. Oleh karena itu, diperlukan penerapan teknologi untuk meminimalkan kesalahan pemilihan jenis kayu dan meningkatkan efisiensi proses produksi. Penelitian ini bertujuan membangun model klasifikasi jenis kayu (nantu, palapi, dan uru) berbasis Convolutional Neural Network (CNN) menggunakan citra serat kayu. Dataset terdiri dari 1.584 citra yang dibagi menjadi 80% data pelatihan dan 20% data pengujian. Arsitektur model CNN terdiri dari 4 lapisan konvolusi, 4 lapisan pooling, dan 2 lapisan fully-connected. Hasil pelatihan mencapai akurasi 97,06%, sedangkan hasil pengujian dan evaluasi menggunakan matriks konfusi mencapai akurasi 95,56%. Penelitian ini membuktikan bahwa CNN dapat digunakan secara efektif untuk klasifikasi jenis kayu dengan tingkat akurasi yang tinggi, sehingga dapat membantu meningkatkan efisiensi proses produksi mebel.
APPLICATION OF VGG16 ARCHITECTURE IN WOOD TYPE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK Afiah, Nurul Anggun; Syahrullah, Syahrullah; Ardiansyah, Rizka; Laila, Rahmah; Pohontu, Rinianty
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 1 (2025): JUTIF Volume 6, Number 1, February 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.1.3874

Abstract

Wood is an important natural resource in construction and the furniture industry, with various types possessing unique characteristics. The selection of wood types is often done manually, which is prone to errors that can negatively impact the working process, product quality, and the sustainability of the forests that source the wood. Therefore, this research aims to improve classification accuracy through the application of technology. This study utilizes Convolutional Neural Network (CNN) with the VGG16 architecture to process images in analyzing the visual characteristics of wood, with the goal of building a model capable of classifying wood types based on images. The dataset used consists of 1,584 samples of wood images sourced from Kaggle. Four models were tested with variations in the training and validation data splits, as well as the use of Adam and Adamax optimizers, over 100 epochs. Model 1 achieved a training accuracy of 96.68% and a testing accuracy of 98.10%. Model 2, with a training accuracy of 99.47% and a testing accuracy of 98.41%, showed the best performance. Models 3 and 4 also yielded testing accuracies of 97.46% and 97.78%, respectively. The results of this study indicate that the application of CNN with the VGG16 architecture can enhance the effectiveness of wood type classification and contribute to more accurate and efficient wood selection practices.
Co-Authors Abdul Hadi Abdul Mahatir Najar Abdurrohman, Firman Muhammad Afiah, Nurul Anggun Afwah, Raden Agustinus Kali Aji Saputra, Andi Albania, Faradiva Andi Hendra Anita Ahmad Kasim Ardiyansyah, Rizka Arskal Salim Aswat, Fajar Atmowidjoyo, Sutardjo Bagaskara, Febrian Chrissma Baso Mukhlis Chairunnisa Ar. Lamasitudju Chandra, Ferri Rama Darman, Guna Dede Rosyada Deden Edi Delia, Fenita Deny Wiria Nugraha Dessy Santi Devilito Prasetyo Tatipang Dharmakirti, Dharmakirti Dwi Shinta Angreni Dwimanhendra, Muhammad Rifaldi Dwiwijaya, Kadek Agus Edi, Deden Eva Nugraha Fadlilah, Dina Rahma Fahmi, Moh. Faisal Faisal Fajar Harguna Endra Putra Faldiansyah, Faldiansyah Fatima, St. Nur Aima Filhaq, Raghib Hajra Rasmita Ngemba Hakim, Ibrahim Hamid, Odai Amer Hardjadinata, Hardjadinata Hastuti, Saptiyani Heru Budi Santoso Ihwan, Abib Raifmuaffah Iman Santoso Indrajaya, Muhammad Aristo Irsyadiah, Nur Irwan Irwan Irwan, Anas Jamal, Nur Jannah, Aulia Raudhatul Kartika, Rina Kasaedja, Tafania Natalia Kasim, Erni Kasmar, Kasmar Khasanah, Siti Uswatun Kunaenih, Kunaenih Laila, Rahma Lakatjinda, Adiatma Lamasitudju, Chairunnisa Luthfi, Atabik Magfirah, Magfirah Maharani, Wulan Mahdi Mahdi, Mahdi Maulidyani Abu Mohamad Irfan, Mohamad Mohammad Yazdi Pusadan Muhammad Afif Muhammad Muhammad Muhammad Rizka, Muhammad Murmayani Mustika, Muhammad Fery Mutiara Sari Nahuda, Nahuda Nasrullah Nasrullah Nouval Trezandy Lapatta Noviantika, Noviantika Nuari, Feby Nabiilah Nur Husnil Khatimah Nur Khasanah Nurwijayanti, Karina Prakoso, Dicky Dwi Pramadinda, Alda Nur Priska, Salsa Dilah Pusadan, Yazdi Putra, Fajar Harguna Endra Putu Wahyu Sudewi Rabbani, Pasya Nuron Rahmah Laila Rasmita Ngemba, Hajra Rasmita, Hajra Ratnandari, Luluk Dwi Resnawati Rifki, Moh Rinianty, Rinianty Rizaldi, Andi Risfan Rizka Ardiansyah Ryfial Azhar, Ryfial Sani, Ilham Abdillah Sanusi, Gufran Saputra, Soni Adi Sau, Tenri Septiano Anggun Pratama Siti Khairunnisa, Siti Sukardi Weda, Sukardi Sulaeman, Maryam Syaiful Hendra Syairozi, Ishak Syarif Firmansyah Syarifuddin Dollah Tenri Sau Triasni, Aprilia Utami, Shanty Riza Wahyuni, Asti Wawagalang, A. Nolly Sandra Widiani, Ni Nengah Wijaya, Padma Wildan Imaduddin Muhammad, Wildan Imaduddin Wirdayanti Wongkar, Noel Marcell Jonathan Yanti, Wirda Yayan Sopyan Yuri Yudhaswana Joefrie Yusuf Anshori Zulkifli Zulkifli