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All Journal ComEngApp : Computer Engineering and Applications Journal Al-Ta'dib: Jurnal Kajian Ilmu Kependidikan Risâlah, Jurnal Pendidikan dan Studi Islam Pendas : Jurnah Ilmiah Pendidikan Dasar Akademika: Jurnal Manajemen Pendidikan Islam Jurnal Mandiri IT Edu Research : Jurnal Penelitian Pendidikan Jurnal Informatika Journal of Islamic History and Manuscript Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Gudang Jurnal Multidisiplin Ilmu OKTAL : Jurnal Ilmu Komputer dan Sains JRIIN :Jurnal Riset Informatika dan Inovasi Jurnal Sistem Informasi Galuh JSE: Jurnal Sharia Economica Al-Zayn: Jurnal Ilmu Sosial & Hukum Jurnal Media Akademik (JMA) AT-TAKLIM: Jurnal Pendidikan Multidisiplin Indonesian Journal of Auditing and Accounting Jurnal Penelitian Hasil Hutan Jurnal Pendidikan dan Inovasi Pembelajaran
Abdurahman
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

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INNOVATIVE STRATEGIES OF THE HALAL INDUSTRY IN ADVANCING INDONESIA’S ECONOMIC GROWTH TRANSFORMATION Miftah, Surur; Abdurahman; Naili Nuril Aufa Manik
JSE: Jurnal Sharia Economica Vol. 4 No. 1 (2025): Januari
Publisher : LPPM STAI Muhammadiyah Probolinggo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46773/jse.v4i1.1813

Abstract

Indonesia, as the country with the largest Muslim population in the world, possesses significant potential for developing the halal and sharia industries. However, this potential has not been fully optimized, particularly in the context of global competition. The halal nature of a product is a primary requirement for Muslim consumers, not only for food and pharmaceuticals but also for other consumer goods. The halal industry is now experiencing rapid growth, evolving beyond halal products to encompass a halal lifestyle. This research employs a normative legal approach with a library research method to delve deeper into the development of the halal industry in Indonesia. The findings reveal several noteworthy insights, including: 1) Increased Contribution to the National GDP. 2) Enhanced Global Competitiveness through Technological Innovation. 3) Economic Multiplication Effects and Support for MSMEs. 4) Sustainability and Green Industry in Halal Products.
Implementation of Feature Selection for Optimizing Voice Detection Based on Gender using Random Forest Abdurahman; Vindriani, Marsella; Prasetyo, Aditya Putra Perdana; Sukemi; Buchari, M. Ali; Sembiring, Sarmayanta; Firnando, Ricy; Isnanto, Rahmat Fadli; Exaudi, Kemahyanto; Dudifa, Aldi; Riyuda, Rafki Sahasika
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 2 (2025)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Gender-based voice detection is one of the machine learning applications that has various benefits in technology and services, such as virtual assistants, human-machine interaction systems, and voice data analysis. However, the use of too many features, including irrelevant features, can cause a decrease in accuracy and model performance. This research aims to optimize voice-based gender detection by applying a feature selection method to select significant features based on their correlation value to the target. Experimental results show that by using only the significant features selected through correlation analysis, the accuracy of the model is significantly improved compared to using all available features. This research confirms the importance of feature optimization to support the development of more efficient and accurate gender-based speech detection models.
Fetal heart chamber segmentation on fetal echocardiography image using deep learning Sutarno, Sutarno; Rachmatullah, Muhammad Naufal; Abdurahman; Isnanto, Rahmat Fadli
Jurnal Mandiri IT Vol. 14 No. 1 (2025): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i1.416

Abstract

Advances in medical imaging and utilization have encouraged the development of more sophisticated image analysis technologies. In this context, image segmentation acts as a fundamental preprocessing step, but fetal echocardiography (FE) image segmentation still faces challenges in terms of accuracy and efficiency. The dataset for developing the FE image segmentation model was obtained from the examination results of patients at Muhammad Husein Hospital (RSMH) in Palembang who had normal conditions, atrial septal defect (ASD), ventricular septal defect (VSD), and atrioventricular septal defect (AVSD), totaling 650 FE images, which have been verified by experts. Compared to previous studies, this study focuses on creating a DL-based segmentation model for FE images using an open-source framework and the Python MIScnn library, which is specifically designed for medical imaging. This differs from previous DL frameworks that are more general, such as TensorFlow or PyTorch, which do not emphasize specialization for medical imaging. Furthermore, in an effort to improve model accuracy and efficiency, various configurations were tested, including variations in batch size and loss functions. the Model performance evaluation was conducted comprehensively using various important metrics in addition to pixel accuracy and IoU, such as F1 score, average accuracy, precision, recall, and False Positive Rate (FPR). This method is expected to provide a more in-depth picture of model performance compared to previous studies that may have only considered a few metrics. The best results were achieved using the U-Net architecture with a batch size of 32 and the binary cross-entropy loss function. This U-Net model demonstrated excellent overall performance, achieving a pixel accuracy of 0.996, an IoU of 0.995, a mean accuracy of 0.965, an FPR of 0.004, a precision of 0.929, a recall of 0.933, and an F1-score of 0.941. These findings highlight the significant potential of deep learning methods in improving the accuracy and efficiency of fetal echocardiography image analysis.
Performance analysis of MobileNetV2 based automatic waste classification using transfer learning Firnando, Ricy; Buchari, Muhammad Ali; Marjusalinah, Anna Dwi; Willy; Abdurahman; Isnanto, Rahmat Fadli
Jurnal Mandiri IT Vol. 14 No. 1 (2025): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i1.451

Abstract

The significant increase in global waste requires innovative and accessible solutions, which aligns with Sustainable Development Goal (SDG) 12, which focuses on reducing the environmental impact of human activities. Automatic waste sorting using Computer Vision and Deep Learning offers a promising alternative to labor-intensive and risky manual methods. This study presents the design, implementation, and comprehensive performance analysis of an automated waste classification system, with a specific focus on evaluating its feasibility on hardware without specialized GPU accelerators. By leveraging transfer learning on a lightweight Convolutional Neural Network (CNN) architecture, MobileNetV2, a model was trained to classify six common waste categories: cardboard, glass, metal, paper, plastic, and other waste. The public “Garbage Classification” dataset from Kaggle, consisting of 2,527 images, was used as the basis for training and validation. The experiment was conducted using the tensorflow-cpu library, which does not require a dedicated GPU accelerator. After 10 training epochs, the model achieved a significant validation accuracy of 86.73%. Computational performance analysis showed an efficient average training time of 31.17 seconds per epoch and a fast average inference time of 14.47 milliseconds per image (~69 FPS) on the validation dataset. These findings demonstrate the feasibility of developing an effective AI-based waste classification system on hardware without a GPU accelerator, providing a realistic performance benchmark for the development of low-cost smart bins with embedded waste sorting solutions in the future, thereby contributing to sustainable waste management practices.
MENINGKATKAN KEMAMPUAN KOMPUTASI SISWA DENGAN MODEL PEMBELAJARAN BERBASIS STEAM-PJBL Hafild, M. Nazali Romadhon; Abdurahman; Dwi Yulianti
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 01 (2025): Volume 10 Nomor 1, Maret 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i01.20525

Abstract

The aims of this research to develop and implement a STEAM-PjBL based Learner Worksheet (LKPD) to improve students' computational thinking skills in class IV SDN 4 Talang. In the context of the Merdeka Curriculum, teachers have the freedom to design innovative and contextualized learning. However, the use of LKPD or interactive media has not been widely implemented in several schools in Bandar Lampung. This research is based on the view that concrete and interactive learning media can increase student creativity more effectively than conventional methods. Data from the Ministry of Education and Culture's School Report Card shows a decline in the literacy and numeracy skills of students at SDN 4 Talang in the last three years. The implementation of STEAM-PjBL is expected to overcome this problem by providing more meaningful and problem-solving-based learning. Analysis of previous research results shows that the STEAM-PjBL learning model can improve learning outcomes and students' creative thinking skills. This research uses an experimental approach by comparing learning outcomes between experimental classes that use STEAM-PjBL-based LKPD and control classes that use conventional learning methods and the research method used is 4D model development research. The results of the study are expected to contribute to improving the quality of learning in schools
Peran dan Potensi Implementasi Audit TI dalam Transformasi Digital Berkelanjutan pada Keuangan Sektor Publik di Indonesia Abdurahman; Ningsih, Rizka Yulia
Indonesian Journal of Auditing and Accounting Vol 1 No 1 (2024): Januari 2024
Publisher : IAPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71188/ijaa.v1i1.45

Abstract

Transformasi digital berkelanjutan telah menjadi bagian nawacita sektor publik khususnya Pemerintah Indonesia. Secara bertahap, Pemerintah Indonesia aktif menciptakan ekosistem berbasis teknologi, mulai pembangunan infrastruktur hingga transformasi proses bisnis menuju otomatisasi. Namun, sebagai konsekuensi akibat derasnya arus perkembangan teknologi, eksistensi risiko TI terus mengancam keberlangsungan proses bisnis sektor publik. Dalam rangka mitigasi risiko tersebut, auditor pemerintah di beberapa negara telah mempraktekkan Audit TI. BPK RI sebagai auditor eksternal pemerintah saat ini belum mengimplementasikan Audit TI dalam konteks pemeriksaan tersendiri (single audit). Audit TI menjadi penting karena dapat mengevaluasi efektivitas penggunaan teknologi informasi bagi pemerintah. Penelitian ini dimaksudkan untuk memaksimalkan fungsi pengendalian dari BPK RI terhadap transformasi digital di sektor publik yang terus berkembang di tengah maraknya risiko yang bermunculan, sehingga transformasi digital berkelanjutan dapat berjalan aman dan memadai. Analisis yang digunakan pada penelitian ini menggunakan pendekatan kualitatif deskriptif. Berdasarkan hasil analisis, Audit TI berperan penting dalam memitigasi risiko teknologi informasi serta menjaga keberlangsungan proses bisnis berbasis teknologi sehingga sektor publik dalam hal ini pemerintah dapat mencapai transformasi digital secara berkelanjutan. Sedangkan dengan adanya legitimasi dan sumber daya yang ada, BPK RI memiliki peluang untuk dapat mengimplementasikan Audit TI dengan mengacu pada pedoman internasional maupun benchmarking.
HUBUNGAN KETAHANAN KAYU TERHADAP JAMUR DENGAN KERAPATAN DAN PENGKARATAN LOGAM Sihati Suprapti; Abdurahman; Djarwanto
Jurnal Penelitian Hasil Hutan Vol. 38 No. 1 (2020): Jurnal Penelitian Hasil Hutan
Publisher : BRIN Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/jphh.2020.38.1.27-39

Abstract

Wood constructions are mostly fastened by metal screw or metal fastener, then corrosion resistance is an importantfactor. Wood natural durability against fungus and its relation to basic density are two other factors affecting woodquality for construction. This paper studies wood natural durability against fungus and metal corrosion in relation todensity of five Riau wood species. Wood samples were tested against fungus using the Kolle-flask method and wooddensity was measured based on DIN-2135-1975 standard. Result shows that Diospyros korthalsiana wood wascategorized as non-resistant (class IV), Tetramerista glabra wood was classified as moderately resistant (class III),while Shorea teysmanniana, Palaquium burckii, and Aglaia argentea woods are grouped into resistant wood(class II). In all wood species, weight lost of heartwood is lower than that of sapwood, but in the same durabilitygroup (moderately resistant). In general, there is a relationship between density and weight loss. The higher the wooddensity is the lower the weight loss. The average of weight loss of metal screwed wood is higher than wood withoutscrews. The highest weight loss was recorded from Palaquium burckii wood which was screwed and exposed toPolyporus sp., while, the highest screw weight loss was recorded from Shorea teysmanniana wood exposed toPycnoporus sanguineus. Rustic enamel was highly recorded from Tetramerista glabra wood, which was exposedinto Tyromyces palustris. Eight species of fungus are moderate and two species are low in capability of decayingwood. The highest decaying ability in corroding metal screws is found in P. sanguineus. The weight of rustic enamelfound in the metal screw caused by four fungus activity of (Chaetomium globosum, P. sanguineus, S. communeand T. palustris) was relatively similar.
INTEGRASI PSIKOLOGI KELUARGA DAN AJARAN ISLAM DALAM PENYELESAIAN KONFLIK KELUARGA: PENDEKATAN KUALITATIF UNTUK MEWUJUDKAN KELUARGA SAKINAH, MAWADDAH, DAN RAHMAH Abdurahman
AT-TAKLIM: Jurnal Pendidikan Multidisiplin Vol. 2 No. 11 (2025): At-Taklim: Jurnal Pendidikan Multidisiplin (Edisi November)
Publisher : PT. Hasba Edukasi Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71282/at-taklim.v2i11.1220

Abstract

Family conflict is an inevitable phenomenon in married life, which can be triggered by various internal and external factors. This study aims to examine how the integration of family psychology approaches and Islamic values can be used to resolve family conflicts. Using a qualitative approach and a case study design, the research collects data through in-depth interviews with couples, parents, as well as family psychology experts and religious figures. The findings indicate that effective family conflict resolution relies not only on psychological approaches but also on Islamic principles such as consultation, justice, patience, and forgiveness. This approach can create a harmonious, sakinah, mawaddah, and rahmah family, capable of managing conflicts wisely and strengthening family resilience.
ANALISIS STRUKTURAL CERPEN “DILARANG MENCINTAI BUNGA-BUNGA” KARYA KUNTOWIJOYO Nores Vista Lara Sati; Abdurahman; Zahro Salsabila Basir; Fanisa Ocdria Tama
Jurnal Media Akademik (JMA) Vol. 3 No. 11 (2025): JURNAL MEDIA AKADEMIK Edisi November
Publisher : PT. Media Akademik Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62281/79hcb903

Abstract

Penelitian ini bertujuan untuk menganalisis unsur-unsur struktural yang membangun cerpen “Dilarang Mencintai Bunga-Bunga” karya Kuntowijoyo. Cerpen ini dipilih karena menggambarkan pertentangan nilai antara materialisme dan spiritualitas dalam kehidupan manusia. Penelitian ini menggunakan metode deskriptif kualitatif dengan teknik studi dokumenter, membaca mendalam, mengidentifikasi, dan mencatat unsur-unsur intrinsik yang terdapat dalam cerpen. Hasil analisis menunjukkan bahwa cerpen ini terdiri atas unsur tema, alur, tokoh dan penokohan, latar, sudut pandang, gaya bahasa, dan amanat yang saling berkaitan membentuk cerita yang utuh. Tema utama cerpen ini adalah kontras nilai hidup antara dunia materi dan ketenangan batin. Alur yang digunakan adalah alur maju, dengan tokoh utama Buyung yang digambarkan sensitif dan penuh rasa ingin tahu. Latar tempat meliputi rumah, sekolah, dan lingkungan sosial masyarakat kota bernilai tradisional. Cerita menggunakan sudut pandang orang pertama dengan gaya bahasa yang kaya majas seperti personifikasi, simile, metafora, repetisi, dan retoris. Amanat yang disampaikan adalah pentingnya keseimbangan antara kebutuhan duniawi dan spiritual agar manusia dapat hidup dengan damai.
ANALISIS STRUKTURALISME DAN PENDEKATAN MORAL DALAM CERPEN HARIMAU DAN BUNGLON KARYA MIGUEL ANGELO JONATHAN Reva Savitri; Abdurahman
Jurnal Media Akademik (JMA) Vol. 3 No. 12 (2025): JURNAL MEDIA AKADEMIK Edisi Desember
Publisher : PT. Media Akademik Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62281/8dwr4547

Abstract

Penelitian ini bertujuan untuk mengkaji cerpen Harimau dan Bunglon karya Miguel Angelo Jonathan melalui dua perspektif utama, yaitu pendekatan strukturalisme dan pendekatan moral. Pendekatan struktural digunakan untuk mengungkap keterkaitan unsur-unsur intrinsik cerpen, meliputi tema, tokoh dan penokohan, alur, latar, sudut pandang, serta amanat yang membangun kesatuan makna cerita secara utuh. Analisis struktural menunjukkan bahwa unsur-unsur tersebut saling mendukung dalam membentuk konflik utama yang sederhana, namun sarat makna simbolik. Sementara itu, pendekatan moral difokuskan pada nilai-nilai etika yang disampaikan melalui pertentangan karakter antara Harimau dan Bunglon. Harimau merepresentasikan sifat kesombongan, impulsivitas, dan kepercayaan berlebihan pada kekuatan fisik, sedangkan Bunglon melambangkan kerendahan hati, kebijaksanaan, kehati-hatian, serta kemampuan beradaptasi. Hasil penelitian menunjukkan bahwa cerpen ini secara efektif menyampaikan pesan moral universal tentang pentingnya kecerdasan dan kebijaksanaan dalam menghadapi persoalan hidup. Cerpen ini menegaskan bahwa kekuatan fisik semata tidak selalu menjamin kemenangan, dan bahwa kemampuan berpikir adaptif sering kali menjadi faktor penentu keselamatan dan keberlangsungan hidup.
Co-Authors Aditya Putra Perdana Prasetyo Ahmad Fali Oklilas Ahmad Labib Ahmad Zarkasi Amrin Arif Yoga Pratama Asfa Rahmi Athalaza, Muhammad Nawar Ayu Rahmah Nur Azizah Bella Puspita Bita Parga Zen Buchari, M. Ali Buchari, Muhammad Ali DEWI ANGGRAINI Djarwanto Dudifa, Aldi DWI YULIANTI Efriza Malna Denta Elfirza Rosiana Eryan Ahmad Firdaus Fanisa Ocdria Tama Fitri, Hasnah Gunawan, Reski Hadi Purnawan Satria Hafiiz, Al Hafild, M. Nazali Romadhon Harahap, Muhammad Aldho Febrian Indri Novitri Irawati Junaidah Kambali Kemahyanto Exaudi Marjusalinah, Anna Dwi Mas’udatul Fitriyah Miftah, Surur Muhammad Ali Buchari Muhammad Edria Zaiz F. Muhammad Naufal Rachmatullah Naila Rahma Salsabila Naili Nuril Aufa Manik Ningsih, Rizka Yulia Nores Vista Lara Sati Primanita, Anggina Rahaja Raditiya Rahmat Fadli Isnanto Ravi Joentera Reva Hezul Reva Savitri Rianti Yunita Kisworini, Rianti Yunita Ricy Firnando Riyuda, Rafki Sahasika Rossi Passarella Saprudin Sarmayanta Sembiring Satria Galang Saputra Shereen Aulia Deam Sherly Mutia Sari Sihati SUPRAPTI Sugiyarto Sukemi Sutarno Sutarno Sutarno Syafrina, Dewi Vera Astuti3 Vindriani, Marsella Vivi Indriyani Wanti, Elsi Kurnia Willy Windi Widianti Zahro Salsabila Basir Zufriadin Adil Setiawan Zuhrah