cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Sahabuddin Latif
Contact Email
jumptech-ft@unismuh.ac.id
Phone
+6285257228519
Journal Mail Official
sahabuddin.latief@unismuh.ac.id
Editorial Address
Jl. Sultan Alauddin No.259
Location
Kota makassar,
Sulawesi selatan
INDONESIA
Journal of Muhammadiyah’s Application Technology
Published by Universitas Muhammadiyah Makassar
ISSN : -     EISSN : 30313082     DOI : 10.26618/jumptech
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering
Journal of Muhammadiyah’s Application Technology (JUMPTECH) Jumptech (Journal of Muhammadiyah’s Application Technology) is an online periodical journal of science that is published three times a year, in February, June and October by Faculty of Engineering, Muhammadiyah University of Makassar, Indonesia, with a registered number ISSN 3031-3082 (online). Jumptech is a media to publish the results of scientific research academics, practitioners, and observers in the field of engineering science including irrigation civil engineering, architecture, electrical engineering, computer science, urban and regional planning. Jumptech focuses on publishing manuscripts within the following areas: Irrigation Civil Engineering: Hydrology; Hydraulics; Environmental Impacts; Solute and Sediment Transport; Soil Salinity; Water‐Quality Control; Sustainability; Water Management and Conservation; Evapotranspiration; Soil‐Water Flow; Design, Operations and Maintenance of Irrigation and Drainage Infrastructure; Development and Application of Technology; Economics, Energy Use, and Regulation in Irrigation and Drainage Engineering. Electrical Engineering and Computer Science: Power Systems: Generator, Power Distribution, Electrical Power Convertion, Protection Systems, Electrical Material Signal, System, and Electronics: Digital Signal Processing, Image Processing, Robotic Systems, Control Systems, Embedded Systems Communication Systems: Telecommunication, Wireless Communications, Computer Network Information Technology: Software Engineering, Data Mining, Multimedia, Mobile Computing, Parallel / Distributed Computing, Artificial Intelligent, Computer Graphic, AR/VR Architecture, Urban and Regional Planning : Architectural Planning and Design; Environmental Engineering; Building Science and Technology; Project Management; Structural Engineering; Building Materials; Building Intelligent Modelling (BIM); Theory and Architectural Criticism; Interior Design; Urban Planning; Housing and Settlement Design; Landscape Architecture; Architectural Conservation and Heritage; Study of Islamic Architecture; Regional and City Studies; Building Management and Built Environment; Infrastructure and Transport; Development Policy and Economics; Behavior, Space and Culture; Tourism and Space. Email : jumptech-ft@unismuh.ac.id
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 21 Documents
 1   2   3 
Search results for , issue "Vol. 4 No. 3 (2025)" : 21 Documents clear
Pendeteksi Penyakit Daun Padi Menggunakan Algoritma YOLOv8 di Desa Jangan-Jangan Kecamatan Pujananting Kabupaten Barru Aritmawijaya, Suandi; Rachman, Fahrim Irhamna; Bakti, Rizki Yusliana; suandi_17, suandi_aritmawijaya
Journal of Muhammadiyah’s Application Technology Vol. 4 No. 3 (2025)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/kn1zxt55

Abstract

ABSTRAKProduksi padi di Indonesia memiliki peran penting dalam menjaga ketahanan pangan nasional, namun produktivitasnya sering mengalami penurunan akibat serangan penyakit pada daun padi. Penyakit seperti blast, bercak coklat, dan hawar daun bakteri merupakan penyakit utama yang dapat menimbulkan kerugian signifikan jika tidak terdeteksi sejak dini. Identifikasi penyakit daun padi secara konvensional umumnya masih dilakukan secara manual dan bergantung pada pengalaman petani, sehingga berpotensi menimbulkan kesalahan diagnosis. Oleh karena itu, penelitian ini bertujuan mengembangkan sistem pendeteksi otomatis penyakit daun padi berbasis deep learning menggunakan algoritma YOLOv8. Dataset diperoleh dari pengambilan citra langsung di lahan pertanian Desa Jangan-Jangan, Kabupaten Barru, yang merepresentasikan kondisi lapangan nyata dan mencakup tiga jenis penyakit utama. Tahapan penelitian meliputi anotasi data menggunakan Roboflow, pelatihan model dengan Google Collab, serta evaluasi performa menggunakan confusion matrix, precision, recall, F1-score, dan mean Average Precision. Hasil pengujian menunjukkan bahwa model YOLOv8 mampu mendeteksi penyakit daun padi dengan akurasi tinggi dan waktu inferensi cepat, sehingga berpotensi diterapkan sebagai solusi deteksi dini penyakit padi secara real-time. Kata Kunci: YOLOv8, Deteksi Penyakit Padi, Deep learning, Citra Digital, Pertanian Presisi, Roboflow,CNN.   ABSTRACTRice production in Indonesia plays a crucial role in maintaining national food security, but productivity often declines due to leaf disease attacks. Diseases such as blast, brown spot, and bacterial leaf blight are major diseases that can cause significant losses if not detected early. Conventional rice leaf disease identification is generally still done manually and relies on farmer experience, potentially leading to misdiagnosis. Therefore, this study aims to develop an automatic rice leaf disease detection system based on deep learning using the YOLOv8 algorithm. The dataset was obtained from direct imagery captured in agricultural fields in Jangan-Jangan Village, Barru Regency, which represents real-world conditions and includes three main types of diseases. The research stages include data annotation using Roboflow, model training with Google Colab, and performance evaluation using a confusion matrix, precision, recall, F1-score, and mean Average precision. The test results show that the YOLOv8 model is capable of detecting rice leaf diseases with high accuracy and fast inference time, thus potentially being implemented as a real-time early detection solution for rice diseases. Keyworsds: YOLOv8, Rice Disease Detection, Deep learning, Digital Imagery, Precision Farming, Roboflow,CNN.
Analisis Alih Fungsi Lahan Pertanian dan Pengaruhnya terhadap Kondisi Sosial Ekonomi Masyarakat di Kecamatan Belopa Isfa Astutik; Burhanuddin, Fathurrahman; Praja, Soemitro Emin
Journal of Muhammadiyah’s Application Technology Vol. 4 No. 3 (2025)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/qm262m21

Abstract

ABSTRAKAlih fungsi lahan pertanian ke non-pertanian di Kecamatan Belopa meningkat seiring pertumbuhan penduduk dan pembangunan permukiman serta infrastruktur, yang berdampak pada berkurangnya lahan pertanian dan kondisi sosial ekonomi masyarakat. Metode penelitian yang digunakan adalah pendekatan kuantitatif Deskriptif dengan metode survei. Teknik pengumpulan data dilakukan melalui observasi, kuesioner, dan dokumentasi. Analisis data menggunakan analisis spasial deskriptif berbasis Sistem Informasi Geografis (SIG) untuk melihat perubahan penggunaan lahan, serta analisis SWOT untuk merumuskan strategi pengelolaan perubahan pemanfaatan lahan. Hasil analisis spasial menunjukkan bahwa dalam periode 2019–2025 terjadi penurunan luas lahan sawah dari 1027,72 Ha menjadi 982,51 di Kecamatan Belopa yang sebagian besar beralih menjadi kawasan permukiman, tambak, dan infrastruktur. Berdasarkan hasil analisis SWOT diperoleh nilai IFAS sebesar 0,60 dan EFAS sebesar 1,04. Nilai tersebut menempatkan posisi Kecamatan Belopa pada Kuadran I (Strategi Agresif/SO), yang menunjukkan bahwa wilayah ini memiliki kekuatan internal yang dapat dimanfaatkan untuk menghadapi peluang eksternal. Strategi yang direkomendasikan meliputi optimalisasi potensi ekonomi wilayah, pengendalian alih fungsi lahan pertanian secara berkelanjutan, penguatan perlindungan kawasan pertanian pangan berkelanjutan (KP2B), serta pengembangan diversifikasi mata pencaharian masyarakat. Penelitian ini diharapkan menjadi dasar pertimbangan dalam perumusan kebijakan tata ruang dan pembangunan berkelanjutan di Kabupaten Luwu. Kata Kunci: Perubahan pemanfaatan lahan, lahan pertanian, kondisi sosial ekonomi, IFAS, EFAS, SWOT, Kecamatan Belopa. ABSTRACTThe conversion of agricultural land to non-agricultural use in Belopa Subdistrict has increased in line with population growth and the development of settlements and infrastructure, which has resulted in a reduction in agricultural land and the socio-economic conditions of the community. The research method used was a descriptive quantitative approach with a survey method. Data collection techniques were carried out through observation, questionnaires, and documentation. Data analysis used descriptive spatial analysis based on Geographic Information Systems (GIS) to observe changes in land use, as well as SWOT analysis to formulate strategies for managing changes in land use. The spatial analysis results show that in the 2019–2025 period, there was a decrease in rice field area from 1027.72 Ha to 982.51 Ha in Belopa District, most of which was converted into residential areas, ponds, and infrastructure. Based on the SWOT analysis results, the IFAS value was 0.60 and the EFAS value was 1.04. These values Placing Belopa District in Quadrant I (Aggressive Strategy/SO) indicates that this region has internal strengths that can be leveraged to address external opportunities. The recommended strategies include optimizing the region's economic potential, controlling the conversion of agricultural land in a sustainable manner, strengthening the protection of sustainable food agricultural areas (KP2B), and developing diversification of community livelihoods. This study is expected to serve as a basis for consideration in the formulation of spatial planning and sustainable development policies in Luwu Regency. Keyworsds: Changes in land use, agricultural land, socioeconomic conditions, IFAS, EFAS, SWOT, Belopa District.
Optimasi Penjadwalan dan Alokasi Kamar Rawat Inap RS PKU Unismuh Kota Makassar Menggunakan Priority Scheduling Uddin , Ardiansyah; Irhamna Rahman, Fachrim; Wahyuni, Titin; ardi24, ardiansyah_01
Journal of Muhammadiyah’s Application Technology Vol. 4 No. 3 (2025)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/1p4q2k23

Abstract

ABSTRAKManajemen ruang rawat inap merupakan komponen penting dalam operasional rumah sakit karena berkaitan langsung dengan kualitas pelayanan dan keselamatan pasien. Peningkatan jumlah pasien, keterbatasan kapasitas kamar, serta sistem penjadwalan yang masih bersifat manual sering menyebabkan ketidakefisienan dalam alokasi ruang rawat inap. Penelitian ini bertujuan untuk mengoptimalkan manajemen ruang rawat inap di RS PKU Unismuh Makassar melalui penerapan algoritma Priority Scheduling. Metode penelitian yang digunakan adalah pendekatan kuantitatif terapan dengan simulasi sistem berbasis data ketersediaan kamar, kondisi medis pasien, tingkat urgensi, kelas ruang rawat inap, serta spesialisasi dokter. Algoritma Priority Scheduling diterapkan untuk menentukan urutan pelayanan dan alokasi kamar berdasarkan prioritas medis pasien. Hasil penelitian menunjukkan bahwa sistem mampu mengalokasikan ruang rawat inap secara optimal, terutama bagi pasien dengan prioritas tinggi, dengan tingkat efisiensi penggunaan ruang mencapai 100%. Selain itu, sistem dapat mengurangi waktu tunggu dan meningkatkan ketepatan pengambilan keputusan dalam penempatan pasien. Kesimpulan dari penelitian ini menunjukkan bahwa algoritma Priority Scheduling efektif dan adil dalam mendukung optimalisasi pengelolaan ruang rawat inap. Implikasi penelitian ini diharapkan dapat menjadi dasar pengembangan decision support system berbasis algoritma dalam manajemen rumah sakit. Kata Kunci: Manajemen Ruang Rawat Inap, Priority Scheduling, Alokasi Kamar, Efisiensi Pelayanan, Rumah Sakit   ABSTRACTInpatient room management is a critical aspect of hospital operations as it directly affects service quality and patient safety. The increasing number of patients, limited room capacity, and manual scheduling systems often lead to inefficiencies in inpatient room allocation. This study aims to optimize inpatient room management at PKU Unismuh Makassar Hospital through the application of the Priority Scheduling algorithm. The research employs an applied quantitative approach using system simulation based on inpatient room availability data, patients’ medical conditions, urgency levels, room class categories, and doctors’ specializations. The Priority Scheduling algorithm is implemented to determine service order and room allocation according to patients’ medical priority levels. The results indicate that the proposed system is able to allocate inpatient rooms optimally, particularly for high-priority patients, achieving 100% room utilization efficiency for critical cases. In addition, the system reduces patient waiting time and improves the accuracy of decision-making in room assignment. The study concludes that the Priority Scheduling algorithm is an effective and fair approach for optimizing inpatient room management. The findings imply that this algorithm can be utilized as a decision-support system to enhance efficiency, responsiveness, and resource utilization in hospital inpatient services. Keyworsds: Inpatient room management, Priority Scheduling, room allocation, service efficiency, hospital
Perubahan Luas Area Tempat Pemrosesan Akhir (TPA) Sampah Antang Kota Makassar Menggunakan Teknologi Penginderaan Jauh Burhanuddin, Fathurrahman; Rumata, Nini Apriani; nengsih, agustia
Journal of Muhammadiyah’s Application Technology Vol. 4 No. 3 (2025)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/4eyaj761

Abstract

ABSTRAKPerkembangan penduduk dan meningkatnya aktivitas perkotaan di Kota Makassar berkontribusi terhadap peningkatan timbulan sampah yang berdampak pada keterbatasan daya tampung Tempat Pemrosesan Akhir (TPA) Antang. Penelitian ini bertujuan untuk menganalisis perubahan luas area TPA Antang pada tahun 2015, 2020, dan 2024 serta memproyeksikan timbulan sampah, kebutuhan lahan, dan masa pakai TPA untuk 20 tahun ke depan. Metode yang digunakan adalah deskriptif kuantitatif dengan pendekatan spasial melalui pemanfaatan teknologi penginderaan jauh dan Sistem Informasi Geografis (SIG). Analisis spasial dilakukan menggunakan teknik overlay citra satelit untuk mengidentifikasi perubahan luas area TPA, sedangkan proyeksi timbulan sampah dihitung berdasarkan pertumbuhan penduduk, faktor kompaksi, dan penutupan tanah. Hasil penelitian menunjukkan bahwa luas TPA Antang meningkat dari 16,8 hektar pada tahun 2015 menjadi 19,1 hektar pada tahun 2024. Proyeksi menunjukkan peningkatan timbulan sampah yang signifikan, dengan kebutuhan lahan kumulatif hingga tahun 2044 mencapai 38,11 hektar. Kondisi ini menunjukkan bahwa TPA Antang berada pada tahap kritis sehingga diperlukan strategi pengelolaan sampah yang berkelanjutan. Kata Kunci: TPA Antang, timbulan sampah, penginderaan jauh, SIG, kebutuhan lahan. ABSTRACTPopulation growth and increasing urban activities in Makassar City have directly contributed to a rise in municipal solid waste generation, resulting in limited capacity at the Antang Final Disposal Site (TPA Antang). This study aims to identify changes in the area of TPA Antang in 2015, 2020, and 2024, as well as to predict waste generation, land requirements, and the remaining service life of the landfill over the next 20 years. The research employs a descriptive quantitative method with a spatial approach through the use of remote sensing technology and Geographic Information Systems (GIS). Spatial analysis was conducted using satellite image overlay techniques to assess changes in the landfill area, while waste generation projections were calculated based on population growth projections, compaction factors, and soil cover. The results indicate that the area of TPA Antang increased from 16.8 hectares in 2015 to 19.1 hectares in 2024. Waste generation projections show a significant upward trend, suggesting that the landfill capacity will become insufficient in the coming years. The cumulative land requirement up to 2044 is estimated at 38.11 hectares. This study concludes that TPA Antang is currently in a critical condition, highlighting the need for sustainable waste management strategies through source reduction, optimization of landfill operations, and the use of spatial technology as a basis for policymaking. Keyworsds: TPA Antang, waste generation, remote sensing, GIS, area change, land requirement.
Peningkatan Akurasi Prediksi Kebutuhan Obat BPJS PRB melalui Integrasi Analisis Diferensial dan Deep Learning Hermanto, Chalidah Azzahrah; Rachman, Fachrim Irhamna; A.M Hayat, Muhyiddin; H, chalidah_azzahra00
Journal of Muhammadiyah’s Application Technology Vol. 4 No. 3 (2025)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/k6t40472

Abstract

ABSTRAKProgram Rujuk Balik (PRB) BPJS Kesehatan bertujuan menjamin keberlanjutan pengobatan pasien penyakit kronis. Namun, fluktuasi kebutuhan obat sering menimbulkan permasalahan overstock dan stockout di apotek mitra BPJS. Penelitian ini bertujuan mengintegrasikan analisis diferensial dan algoritma deep learning Long Short-Term Memory (LSTM) untuk meningkatkan akurasi prediksi kebutuhan obat PRB. Data yang digunakan berupa transaksi penjualan obat pasien BPJS PRB di Apotek Kimia Farma Cendrawasih periode Januari 2022 hingga Juli 2024. Analisis diferensial digunakan untuk menghitung perubahan tingkat pertama (delta 1) dan tingkat kedua (delta 2) penjualan, yang selanjutnya dijadikan fitur tambahan pada model LSTM. Evaluasi model dilakukan menggunakan metrik Mean Squared Error (MSE), Mean Absolute Error (MAE), dan Mean Absolute Percentage Error (MAPE). Hasil penelitian menunjukkan bahwa integrasi analisis diferensial dengan LSTM mampu meningkatkan akurasi prediksi, dengan model terbaik menghasilkan nilai MAE rata-rata di bawah 20 untuk sebagian besar produk. Temuan ini berimplikasi pada peningkatan efektivitas perencanaan dan pengadaan obat PRB berbasis data historis dan tren perubahan.Kata Kunci: Prediksi Obat, BPJS PRB, LSTM, Deep Learning, Analisis Diferensial ABSTRACTThe BPJS Kesehatan Rujuk Balik Program (PRB) aims to ensure the continuity of treatment for patients with chronic diseases. However, fluctuations in medicine demand frequently cause overstock and stockout problems at BPJS partner pharmacies. This study aims to integrate differential analysis and the Long Short-Term Memory (LSTM) deep learning algorithm to improve the accuracy of PRB medicine demand forecasting. The data used consist of transaction records of PRB patient medicine sales at Kimia Farma Cendrawasih Pharmacy from January 2022 to July 2024. Differential analysis was applied to calculate the first-order change (delta 1) and second-order change (delta 2) in sales, which were subsequently incorporated as additional features in the LSTM model. Model performance was evaluated using Mean Squared Error (MSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). The results indicate that integrating differential analysis with LSTM improves prediction accuracy, with the best-performing model achieving average MAE values below 20 for most products. These findings have important implications for enhancing data-driven planning and procurement of PRB medicines based on historical trends and demand dynamics.Keyworsds: Medicine Forecasting, BPJS PRB, LSTM, Deep Learning, Differential Analysis
Penerapan Watermark‎‎‎‎‎ Tak Terlihat pada Materi Pembelajaran ‎Digital Menggunakan QR Code‎ dan Least Significant Bit Wahyuni, Titin; Hayat, Muhyiddin AM; khairat, arikal
Journal of Muhammadiyah’s Application Technology Vol. 4 No. 3 (2025)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/hqt4ec35

Abstract

ABSTRAKPerkembangan bahan ajar digital meningkatkan risiko pelanggaran hak cipta dan pemalsuan konten, sehingga diperlukan mekanisme perlindungan yang tidak mengganggu tampilan visual. Penelitian ini mengimplementasikan watermark‎ing‎ tak terlihat dengan menggabungkan Quick Response (QR) Code sebagai pembawa informasi dan steganografi‎ Least Significant Bit (LSB) sebagai teknik penyisipan pada citra yang terdapat dalam dokumen. Sistem dikembangkan berbasis web dengan tiga modul utama: pembuatan QR Code‎, penyisipan watermark‎, dan validasi dokumen. Evaluasi dilakukan pada 10 dokumen berformat DOCX dan PDF dengan total 169 gambar. Kinerja imperceptibility diukur menggunakan Peak Signal-to-Noise Ratio (PSNR) dan Mean Squared Error (MSE). Hasil pengujian menunjukkan PSNR berada pada rentang 55,4–67,1 dB dengan MSE sangat rendah (0,02–0,19), menandakan kualitas visual citra tetap terjaga. Selain itu, seluruh watermark‎ berhasil diekstraksi (100%) dan QR Code‎ dapat dipindai tanpa kegagalan. Validasi integritas payload‎ secara opsional menggunakan CRC32 terbukti membantu memastikan keutuhan data yang disisipkan. Temuan ini menunjukkan bahwa kombinasi QR Code‎ dan LSB efektif, andal, dan efisien untuk melindungi bahan ajar digital dari penyalahgunaan tanpa menurunkan kualitas visual.Kata Kunci: Watermark‎ing‎ tak terlihat; QR Code‎; steganografi‎; Least Significant Bit; bahan ajar digital. ABSTRACTThe growth of digital teaching materials increases the risk of copyright infringement and content tampering, requiring protection mechanisms that do not degrade visual quality. This study implements an invisible watermark‎ing‎ scheme by combining Quick Response (QR) Code as the information carrier and Least Significant Bit (LSB) steganography for embedding within images contained in documents. A web-based system was developed with three core modules: QR Code‎ generation, watermark‎ embedding, and document validation. The evaluation used 10 DOCX and PDF documents comprising 169 images. Imperceptibility was assessed using Peak Signal-to-Noise Ratio (PSNR) and Mean Squared Error (MSE). Experimental results indicate PSNR values of 55.4–67.1 dB with very low MSE (0.02–0.19), confirming that visual quality is preserved. All embedded watermark‎s were successfully extracted (100%), and the QR Code‎s remained fully scannable without failure. Optional payload‎ integrity checking using CRC32 further ensured the correctness of embedded data. Overall, the proposed QR Code‎–LSB combination provides a reliable and efficient approach to protect digital teaching materials against misuse while maintaining visual fidelity.Keywords: Invisible watermark‎ing‎; QR Code‎; steganography; Least Significant Bit; digital teaching materials.
Konversi Tulisan Tangan Huruf Kapital Menjadi Teks Menggunakan Metode Deep Learning Berbasis YOLOv8 dan CTC Bakti, Rizki Yusliana; Rachman, Fahrim Irhamna; nur, makmur jaya
Journal of Muhammadiyah’s Application Technology Vol. 4 No. 3 (2025)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/9wdk0e43

Abstract

ABSTRAKPenelitian ini mengkaji pengembangan sistem konversi tulisan tangan ke teks digital menggunakan metode deep learning dengan mengombinasikan arsitektur Convolutional Neural Network (CNN), YOLOv8, dan Connectionist Temporal Classification (CTC). Dataset yang digunakan terdiri dari 700 citra tulisan tangan huruf kapital (A–Z) yang diperoleh dari dokumen resmi Dinas Kependudukan dan Pencatatan Sipil Kabupaten Barru. Tahapan penelitian meliputi prapemrosesan citra berupa grayscale, normalisasi, perataan teks, serta augmentasi data, dilanjutkan dengan anotasi bounding box menggunakan Roboflow. Dataset kemudian dibagi menjadi data pelatihan, validasi, dan pengujian. Model YOLOv8 dilatih untuk mendeteksi karakter dan hasilnya diproses menggunakan CTC untuk menghasilkan teks akhir. Evaluasi menunjukkan performa yang baik dengan precision 98,38%, recall 87,25%, F1-score 92,44%, serta mAP@0.5 sebesar 87,19%. Hasil ini menunjukkan metode yang diusulkan efektif untuk mendukung digitalisasi dokumen administrasi publik.Kata Kunci: YOLOv8, Konversi Tulisan Tangan, Deep Learning, Citra Digital, Administrasi Publik, Roboflow, CNN, CTC ABSTRACTThis study investigates the development of a handwritten text-to-digital text conversion system using deep learning by combining Convolutional Neural Network (CNN), YOLOv8, and Connectionist Temporal Classification (CTC) architectures. The dataset consists of 700 images of uppercase handwritten letters (A–Z) obtained from official documents of the Department of Population and Civil Registration of Barru Regency. The research stages include image preprocessing such as grayscale conversion, normalization, text alignment, and data augmentation, followed by bounding box annotation using Roboflow. The dataset is then divided into training, validation, and testing sets. The YOLOv8 model is trained to detect characters, and the outputs are processed using CTC to generate the final text. Evaluation results demonstrate strong performance, achieving a precision of 98.38%, recall of 87.25%, an F1-score of 92.44%, and an mAP@0.5 of 87.19%. These findings indicate that the proposed method is effective in supporting the digitalization of public administrative documents.Keyworsds: YOLOv8, Handwriting Conversion, Deep Learning, Digital Image, Public Administration, Roboflow, CNN, CTC  
Desain Rumah Sakit Kanker Berbasis Healing Environment sebagai Pendekatan Arsitektur Humanis di Kota Makassar Mansyur, Taufik; Latif, Sahabuddin; Syahruddin, A. Syahriyunita; Amal, Citra Amalia; Amin, Siti Fuadillah Alhumairah; Paddiyatu, Nurhikmah; taufik, opi
Journal of Muhammadiyah’s Application Technology Vol. 4 No. 3 (2025)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/kt42nm82

Abstract

ABSTRAK: Rumah sakit khusus kanker karsinoma di Kota Makassar merupakan bangunan yang dirancang untuk meningkatkan kualitas hidup pasien kanker di Kota Makassar. Tingginya angka kejadian kanker karsinoma di Kota Makassar dan terbatasnya fasilitas khusus yang menangani kasus penyakit ini. Tujuan dari penelitian ini adalah terciptanya rumah sakit khusus kanker karsinoma yang menerapkan pendekatan Healing Environment untuk meningkatkan kualitas hidup terhadap pasien, menciptakan lingkungan yang tenang, nyaman, serta mendukung proses penyembuhan. Metode penelitian yang digunakan meliputi studi literatur dan analisis kebutuhan pasien, mencari data pasien yang terkait dengan kanker karsinoma sebelumnya dengan rentang waktu lima tahun dan menghitung jumlah pengguna rumah sakit ke depannya. Hasil dari penelitian ini adalah terciptanya sebuah desain rumah sakit yang memadukan elemen-elemen Healing Environment, seperti taman interior dan eksterior, pencahayaan alami, serta teknologi yang mendukung proses penyembuhan dan pengobatan. Penelitian ini diharapkan dapat meningkatkan kualitas hidup pasien, menyediakan fasilitas pengobatan yang memadai, dan menjadi contoh bagi rumah sakit lain dalam menerapkan pendekatan Healing Environment. Kata Kunci: Rumah Sakit Kanker, Healing Environment, Kanker Karsinoma, Kota Makassar. ABSTRACT: The cancer carcinoma specialized hospital in Makassar City is a building designed to improve the quality of life for cancer patients in Makassar City. The high incidence rate of carcinoma cancer in Makassar City and the limited specialized facilities addressing this disease are the main concerns. The aim of this research is to create a specialized carcinoma cancer hospital that applies the Healing Environment approach to enhance the quality of life for patients, creating a calm, comfortable environment that supports the healing process. The research methods used include literature study and patient needs analysis, gathering data on patients related to carcinoma cancer from the previous five years, and estimating the future number of hospital users. The result of this study is the creation of a hospital design that integrates elements of Healing Environment, such as interior and exterior gardens, natural lighting, and technology that supports the healing and treatment process. This research is expected to improve the quality of life for patients, provide adequate treatment facilities, and serve as a model for other hospitals in implementing the Healing Environment approach. Keyworsds: Cancer Hospital, Healing Environment, Cancer Carcinoma, Makassar City.  
Penerapan Natural Language Processing dan Regular Expressions dalam Validasi Artikel Ilmiah Azzahra, Fatimah; Anggraeni , Desi; AM Hayat , Muhyiddin
Journal of Muhammadiyah’s Application Technology Vol. 4 No. 3 (2025)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/dkjw7933

Abstract

ABSTRAKPenelitian ini membahas penerapan Natural Language Processing (NLP) dalam proses validasi otomatis aturan penulisan artikel ilmiah pada AINET: Jurnal Informatika. Sistem dikembangkan dalam bentuk aplikasi web interaktif yang bertujuan untuk memeriksa kesesuaian struktur dan format artikel ilmiah secara otomatis, meliputi penulisan judul, identitas penulis, abstrak, kata kunci, bagian wajib artikel, serta format referensi yang digunakan. Metode yang diterapkan dalam penelitian ini adalah pendekatan rule-based, yang terdiri dari beberapa tahapan, yaitu ekstraksi teks dari dokumen, preprocessing NLP, segmentasi dokumen, serta pencocokan pola teks menggunakan Regular Expressions (Regex). Evaluasi sistem dilakukan menggunakan metode black-box testing terhadap 20 artikel jurnal sebagai data uji untuk mengukur tingkat ketepatan hasil validasi yang dihasilkan sistem. Hasil pengujian menunjukkan bahwa sistem mampu mencapai tingkat akurasi sebesar 90%, di mana 18 artikel berhasil divalidasi sesuai dengan kondisi sebenarnya. Temuan ini menunjukkan bahwa integrasi NLP dan Regex efektif dalam mendukung proses validasi penulisan artikel ilmiah secara efisien, cepat, dan konsisten. Namun demikian, sistem masih memiliki keterbatasan dalam mendeteksi abstrak bilingual, konsistensi penggunaan bahasa pada header, serta variasi format referensi, sehingga diperlukan pengembangan lanjutan untuk meningkatkan keandalan dan fleksibilitas sistem.Kata Kunci: Natural Language Processing, Regular Expressions, Validasi Penulisan, Artikel Ilmiah, AINET: Jurnal InformatikaABSTRACTThis study discusses the application of Natural Language Processing (NLP) in the automatic validation of scientific article writing rules in AINET: Journal of Informatics. The system was developed as an interactive web-based application aimed at automatically checking the conformity of article structure and formatting, including the title, author information, abstract, keywords, mandatory article sections, and references. The method used in this study is a rule-based approach, which consists of several stages, namely text extraction, NLP preprocessing, document segmentation, and pattern matching using Regular Expressions (Regex). System evaluation was conducted using the black-box testing method on 20 journal articles to measure the accuracy of the validation results. The testing results show that the system achieved an accuracy rate of 90%, with 18 articles successfully validated in accordance with actual conditions. These findings indicate that the integration of NLP and Regex is effective in supporting the validation process of scientific article writing in an efficient, fast, and consistent manner. However, the system still has limitations in detecting bilingual abstracts, language consistency in headers, and variations in reference formats, indicating the need for further development to improve system reliability and flexibility.Keyworsds: Natural Language Processing, Regular Expressions, Writing Validation, Scientific   Articles, AINET: Journal of Informatics
Menerapkan Pendekatan Eco-Tech pada Perancangan Agrowisata di Kabupaten Enrekang Abdullah, Ashari; Amin, Siti Fuadillah Alhumairah; Idrus, Irnawaty; Yusri, Andi; Syarif, Muhammad; hatta, ramadhan
Journal of Muhammadiyah’s Application Technology Vol. 4 No. 3 (2025)
Publisher : Universitas Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/3h17ss38

Abstract

ABSTRAKIndonesia, dengan iklim tropisnya, menawarkan beragam potensi wisata dari Sabang sampai Merauke. Kabupaten Enrekang di Sulawesi Selatan merupakan salah satu daerah dengan kekayaan alam yang menonjol, terutama dalam sektor pertanian sayuran. Secara geografis, 84,96% wilayah Kabupaten Enrekang didominasi oleh bukit dan gunung, dengan hanya 15,04% area datar dari total luas 46.717,48 km². Kabupaten ini terdiri dari 12 kecamatan dengan populasi 234,47 ribu jiwa pada tahun 2024, mayoritas berprofesi sebagai petani yang menghasilkan komoditas seperti bawang merah, sayuran, kopi, dan buah-buahan. Melihat potensi tersebut, perancangan Agrowisata menjadi sangat relevan untuk Kabupaten Enrekang, ditunjang oleh iklim yang mendukung, pemandangan pegunungan yang indah, dan mata pencaharian masyarakat. Proyek ini diharapkan menjadi destinasi wisata yang diminati baik oleh masyarakat Sulawesi Selatan maupun pengunjung dari luar daerah, sekaligus mengembangkan potensi daerah. Pendekatan Arsitektur Ekologi dan Teknologi (eco-tech) dipilih sebagai tema perancangan, yang menggabungkan kelestarian lingkungan dengan teknologi canggih dan terbarukan. Dengan pendekatan ini, Agrowisata Kabupaten Enrekang diharapkan memiliki desain yang harmonis dengan alam dan berkelanjutan.Kata Kunci: Agrowisata, Arsitektur Ekologi dan Teknologi, Eco-Tech Architecture, Kawasan Wisata, Pertanian Sayuran ABSTRACTIndonesia, with its tropical climate, offers a wide range of tourism potential stretching from Sabang to Merauke. Enrekang Regency in South Sulawesi is one of the regions with outstanding natural wealth, particularly in the vegetable farming sector. Geographically, 84.96% of Enrekang Regency's area is dominated by hills and mountains, with only 15.04% consisting of flat land out of a total area of 46,717.48 km². The regency comprises 12 districts with a population of 234.47 thousand in 2024, the majority of whom work as farmers producing commodities such as shallots, vegetables, coffee, and fruits. Considering this potential, the development of Agrotourism is highly relevant for Enrekang Regency, supported by a favorable climate, beautiful mountainous landscapes, and the community's agricultural livelihood. This project is expected to become a popular tourist destination for both the people of South Sulawesi and visitors from outside the region, while also enhancing the area's local potential. The design adopts the theme of Ecological and Technological Architecture (eco-tech), combining environmental sustainability with advanced and renewable technology. Through this approach, the Enrekang Regency Agrotourism is envisioned to feature a design that is harmonious with nature and sustainable in the long term.Keyworsds: Agrotourism, Ecological and Technological Architecture, Eco-Tech Architecture, Tourism Area, Vegetable Farming.

Page 2 of 3 | Total Record : 21

 1   2   3 

Filter by Year

2025 2025


Reset
Filter By Issues
All Issue Vol. 4 No. 3 (2025) Vol. 4 No. 2 (2025) Vol. 4 No. 1 (2025) Vol 4, No 1 (2025) Vol 3, No 3 (2024) Vol. 3 No. 3 (2024) Vol 3, No 2 (2024) Vol. 3 No. 2 (2024) Vol 3, No 1 (2024) Vol. 3 No. 1 (2024) Vol 2, No 3 (2023) Vol. 2 No. 3 (2023) Vol 2, No 2 (2023) Vol. 2 No. 2 (2023) Vol. 2 No. 1 (2023) Vol 2, No 1 (2023) Vol. 1 No. 3 (2022) Vol 1, No 3 (2022) Vol 1, No 2 (2022) Vol. 1 No. 2 (2022) Vol 1, No 1 (2022) Vol. 1 No. 1 (2022) More Issue