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All Journal AUSTENIT JURNAL SAINS DAN TEKNOLOGI INDONESIA Jurnal Didaktik Matematika Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Jurnal Edukasi : Jurnal Bimbingan Konseling ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Panggung Jurnal Ilmiah Peuradeun JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Jurnal EMT KITA Yupa: Historical Studies Journal SYAMIL: Jurnal Pendidikan Agama Islam (Journal of Islamic Education) MODELING: Jurnal Program Studi PGMI Machine : Jurnal Teknik Mesin Jurnal At-Tibyan: Jurnal Ilmu Alqur’an dan Tafsir Natural: Jurnal Ilmiah Pendidikan IPA Al-Madrasah: Jurnal Ilmiah Pendidikan Madrasah Ibtidaiyah RISTEKDIK : Jurnal Bimbingan dan Konseling JURNAL PENDIDIKAN TAMBUSAI At-Tafkir Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam MUHARRIK: JURNAL DAKWAH DAN SOSIAL Jurnal Literasiologi JUPE : Jurnal Pendidikan Mandala EDUKATIF : JURNAL ILMU PENDIDIKAN Jurnal Plastik Rekonstruksi Jurnal Seni Makalangan JRTI (Jurnal Riset Tindakan Indonesia) Bahastra: Jurnal Pendidikan Bahasa dan Sastra Indonesia Ta'dib: Jurnal Pendidikan Islam dan Isu- isu Sosial Jurnal Pengabdian Masyarakat Bumi Raflesia Tafhim Al-'Ilmi : Jurnal Pendidikan dan Pemikiran Islam At-Tarbawi : Jurnal Pendidikan, Sosial dan Kebudayaan Journal of Music Science, Technology, and Industry (JOMSTI) Fitrah: Jurnal Studi Pendidikan Jurnal Samudra Ekonomika Jurnal At-Taujih : Bimbingan dan Konseling Islam Al-Mutharahah: Jurnal Penelitian dan Kajian Sosial Keagamaan Lentera:Indonesian Journal of Multidisciplinary Islamic Studies Indonesian Journal of Librarianship Jurnal Pengabdian Masyarakat Indonesia Jurnal Rekonstruksi dan Estetik International Journal of Management Science and Information Technology (IJMSIT) INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Repertoar Journal Journal of Social Research MACHINERY: Jurnal Teknologi Terapan Jurnal Kajian Ilmu Pendidikan (JKIP) Jurnal Inovasi Pengabdian Masyarakat Pendidikan Kreatifitas: Jurnal Ilmiah Pendidikan Islam Journal of Medical Science; Jurnal Ilmu Medis Rumah Sakit Umum Daerah dr. Zainoel Abidin, Banda Aceh Cons-Iedu: Islamic Guidance and Counseling Journal Jurnal Pengabdian Masyarakat Tjut Nyak Dhien SYAMIL: JURNAL PENDIDIKAN AGAMA ISLAM (JOURNAL OF ISLAMIC EDUCATION) Jurnal Ilmiah Ilmu Terapan Universitas Jambi JAKTABANGUN: Jurnal Akuntansi dan Pembangunan Al-Hiwalah : Journal Syariah Economic Law eProceedings of Engineering Indonesian Journal Economic Review (IJER) PMSDU Baitul Hikmah: Jurnal Ilmiah Keislaman Narra X Journal of International Surgery and Clinical Medicine Indonesian Journal of Education Research and Technology (IJERT) Ghaitsa: Islamic Education Journal Algebra MARAS : Jurnal Penelitian Multidisplin International Journal of Education Research and Development kawanad jle Matra Muhafadzah: Jurnal Ilmiah Bimbingan dan Konseling Islam International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) Indonesian Journal of Management Studies Jurnal Studi Islam MAYARA: Jurnal Pengabdian Masyarakat Jurnal Manajemen dan Teknologi Al-Hayat: Journal of Islamic Education Asian Journal of Science Education IJIS Edu : Indonesian Journal of Integrated Science Education JPT : Jurnal Pendidikan Tematik Edumulti: Jurnal Rumpun Ilmu Pendidikan Multidisiplin
Syamsul Rizal
National Nuclear Energy Agency, Jakarta, Indonesia
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Super Resolution pada Citra Udara menggunakan Convolutional Neural Network ABDULFATTAH, MUHAMMAD EFAN; NOVAMIZANTI, LEDYA; RIZAL, SYAMSUL
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 1: Published January 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i1.71

Abstract

ABSTRAKBencana di Indonesia didominasi oleh bencana hidrometeorologi yang mengakibatkan kerusakan dalam skala besar. Melalui pemetaan, penanganan yang menyeluruh dapat dilakukan guna membantu analisa dan penindakan selanjutnya. Unmanned Aerial Vehicle (UAV) dapat digunakan sebagai alat bantu pemetaan dari udara. Namun, karena faktor kamera maupun perangkat pengolah citra yang tidak memenuhi spesifikasi, hasilnya menjadi kurang informatif. Penelitian ini mengusulkan Super Resolution pada citra udara berbasis Convolutional Neural Network (CNN) dengan model DCSCN. Model terdiri atas Feature Extraction Network untuk mengekstraksi ciri citra, dan Reconstruction Network untuk merekonstruksi citra. Performa DCSCN dibandingkan dengan Super Resolution CNN (SRCNN). Eksperimen dilakukan pada dataset Set5 dengan nilai scale factor 2, 3 dan 4. Secara berurutan SRCNN menghasilkan nilai PSNR dan SSIM sebesar 36.66 dB / 0.9542, 32.75 dB / 0.9090 dan 30.49 dB / 0.8628. Performa DCSCN meningkat menjadi 37.614dB / 0.9588, 33.86 dB / 0.9225 dan 31.48 dB / 0.8851.Kata kunci: citra udara, deep learning, super resolution ABSTRACTDisasters in Indonesia are dominated by hydrometeorological disasters, which cause large-scale damage. Through mapping, comprehensive handling can be done to help the analysis and subsequent action. Unmanned Aerial Vehicle (UAV) can be used as an aerial mapping tool. However, due to the camera and image processing devices that do not meet specifications, the results are less informative. This research proposes Super Resolution on aerial imagery based on Convolutional Neural Network (CNN) with the DCSCN model. The model consists of Feature Extraction Network for extracting image features and Reconstruction Network for reconstructing images. DCSCN's performance is compared to CNN Super Resolution (SRCNN). Experiments were carried out on the Set5 dataset with scale factor values 2, 3, and 4. The SRCNN sequentially produced PSNR and SSIM values of 36.66dB / 0.9542, 32.75dB / 0.9090 and 30.49dB / 0.8628. DCSCN's performance increased to 37,614dB / 0.9588, 33.86dB / 0.9225 and 31.48dB / 0.8851.Keywords: aerial imagery, deep learning, super resolution
Deteksi Parasit Plasmodium pada Citra Mikroskopis Hapusan Darah dengan Metode Deep Learning PRATIWI, NOR KUMALASARI CAECAR; IBRAHIM, NUR; FU’ADAH, YUNENDAH NUR; RIZAL, SYAMSUL
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 2: Published April 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i2.306

Abstract

ABSTRAKParasit plasmodium merupakan makhluk protozoa bersel satu yang menjadi penyebab penyakit malaria. Plasmodium ini dibawa melalui gigitan nyamuk anopheles betina. Dalam World Malaria Report 2015 menyatakan bahwa malaria telah menyerang sedikit 106 negara di dunia. Di Indonesia sendiri, Papua, NTT dan Maluku merupakan wilayah dengan kasus positif malaria tertinggi. Malaria telah menjadi masalah yang serius, sehingga keberadaan sistem diagnosa otomatis yang cepat dan handal sangat diperlukan untuk proses perlambatan penyeberan dan pembasmian epidemi. Dalam penelitian ini akan dirancang sistem yang mampu mendeteksi parasit malaria pada citra mikroskopis darah menggunakan arsitekur Convolutional Neural Network (CNN) sederhana. Hasil pengujian menunjukkan bahwa metode yang diusulkan memberikan presisi dan recall sebesar 0,98 dan f1-score sebesar 0,96 serta akurasi 95,83%.Kata kunci: parasit, malaria, convolutional neural network, citra mikroskopis ABSTRACTPlasmodium parasites are single-celled protozoan creatures that cause malaria. Plasmodium is carried through the bite of a female Anopheles mosquito. The World Malaria Report 2015 states that malaria has attacked at least 106 countries in the world. In Indonesia itself, Papua, NTT and Maluku are the regions with the highest positive cases of malaria. Malaria has become a serious problem, so the existence of a fast and reliable automatic diagnosis system is indispensable for the process of slowing down the spread and eliminating the epidemic. In this study, a system capable of detecting malaria parasites in microscopic images of blood will be designed using a simple Convolutional Neural Network (CNN) architecture. The test results show that the proposed method provides precision and recall of 0,98, f1-values of 0.96 and accuracy of 95,83%.Keywords: parasites, malaria, convolutional neural network, microscopic image
Deep Learning untuk Klasifikasi Diabetic Retinopathy menggunakan Model EfficientNet RIZAL, SYAMSUL; IBRAHIM, NUR; PRATIWI, NOR KUMALASARI CAESAR; SAIDAH, SOFIA; FU’ADAH, RADEN YUNENDAH NUR
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 8, No 3: Published September 2020
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v8i3.693

Abstract

ABSTRAKDiabetic Retinopathy merupakan penyakit yang dapat mengakibatkan kebutaan mata yang disebabkan oleh adanya komplikasi penyakit diabetes melitus. Oleh karena itu mendeteksi secara dini sangat diperlukan untuk mencegah bertambah parahnya penyakit tersebut. Penelitian ini merancang sebuah sistem yang dapat mendeteksi Diabetic Retinopathy berbasis Deep Learning dengan menggunakan Convolutional Neural Network (CNN). EfficientNet model digunakan untuk melatih dataset yang telah di pre-prosesing sebelumnya. Hasil dari penelitian tersebut didapatkan akurasi sebesar 79.8% yang dapat mengklasifikasi 5 level penyakit Diabetic Retinopathy.Kata kunci: Diabetic Retinopathy, Deep Learning, CNN, EfficientNet, Diabetic Classification ABSTRACTDiabetic Retinopathy is a diseases which can cause blindness in the eyes because of the complications of diabetes mellitus. Therefore, an early detection for this diseases is very important to prevent the diseases become severe. This research builds the system which can detect the Diabetic Retinopathy based on Deep Learning by using Convolutional Neural Network (CNN). EfficientNet model is used to trained the dataset which have been pre-prossed. The result shows that the system can clasiffy the 5 level of Diabetic Retinopathy with accuracy 79.8%. Keywords: Diabetic Retinopathy, Deep Learning, CNN, EfficientNet, Diabetic Classification
IMPROVING LEARNERS' ENGLISH WRITING SKILLS THROUGH DIGITAL TECHNOLOGY AND PROJECT-BASED LEARNING Suryani, Nyayu Yayu; Rizal, Syamsul; Rohani, Tri; Ratnaningsih, Herin
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 8 No. 1 (2024): Volume 8, Nomor 1, June 2024
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v8i1.32506

Abstract

This groundbreaking research endeavors to elevate participants' learning competence through the innovative integration of digital technology as a pedagogical medium. Pioneering a novel approach, this study seeks to gauge the efficacy of digital-based technology in enhancing English writing proficiency and participants' perceptions of its utility on the Storyboard That platform. Adopting a quantitative methodology, data is meticulously collected from experimental and control groups comprising nursing participants. Leveraging a synergistic blend of digital technology and project-based learning (PjBL), the research yields noteworthy gains in both knowledge and attitudes, with N-gain scores of 0.53 and 0.52, respectively. While initial trial results place competence and integration in the medium category, there exists a compelling imperative for further refinement and enhancement. The findings underscore the transformative potential of digital technology in augmenting writing skills and platform utilization, laying the groundwork for future innovations in English language education. By advocating for the seamless integration of digital tools like Storyboard That into the curriculum, this research not only fosters creativity and proficiency in English writing but also cultivates a dynamic learning environment conducive to holistic skill development. Ultimately, this study serves as a clarion call for educators to embrace the transformative power of digital technology in fostering English language proficiency and nurturing a generation of digitally literate and proficient learners poised to thrive in an increasingly interconnected world.
Static Stress Analysis of Fork on Rubber Slab Lifting Aid using Finite Element Method Khoirullah, Ananda Thomas; Sampurno, Rachmat Dwi; Sailon, Sailon; Ramadhoni, Tri Satya; Rizal, Syamsul; Yuliandi, Rizky Brillian
International Journal of Mechanics, Energy Engineering and Applied Science (IJMEAS) Vol. 2 No. 3 (2024): IJMEAS - September
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijmeas.v2i3.316

Abstract

The focus of this research is to simulate the static stress on the fork component of the tool to analyze the strength and feasibility of the design. The simulation used a method called Finite Element Method (FEA), which allows to find any problems before the prototype is made. The material used is ASTM A36 steel with a yield strength value of 250 MPa. The loading used is 300 kg with the direction of the force centered on the y-axis of the beam right in the middle of the object. With variable fork design dimensions that have been simplified in the form of 762x101.6x31.75 mm; 1219.2x127x44.45 mm; and 2133.6x152.4x50.8 mm, the distribution of analysis results consisting of maximum bending stress, moment, displacement, and factor of safety is obtained. The maximum bending stress values for designs A, B, and C in the simulation are 65.688 MPa; 42.891 MPa; and 47.897 MPa, respectively, with moment values of 1121.283 N.m; 1793.758 N.m; and 3139.592 N.m. Meanwhile, the displacement values in the simulation results for each design are 2.508 mm; 2.992 mm; and 8.948 mm, respectively, with factor of safety values of 3.8; 5.8; and 5.2. Static stress analysis on the fork design produces analytical calculation values and simulation calculations with small tolerances. Based on the results of these calculations, it is concluded that the most optimal fork design is design B because it has a lower value of maximum bending stress and displacement, and has a higher factor of safety value than other designs.
The Teacher Efforts In Improving The Students Reading Ability Of MA Hamzanwadi AT Pancor Rizal, Syamsul; Jayadi, Sudarman
Fikroh: (Jurnal Studi Islam) Vol. 8 No. 1 (2024): Juni: Fikroh Jurnal Studi Islam
Publisher : Institut Agama Islam Hamzanwadi Pancor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37216/fikroh.v8i1.1487

Abstract

Abstract Dormitory or boarding school education is non-formal education in Islamic boarding schools. Where the dormitory is managed by a caretaker who has a very important role in teaching the yellow book which is the hallmark of Islamic boarding schools. The yellow book itself is a classic book written in Arabic without harokat, making the yellow book a fairly high level of difficulty to study. So caregivers must try so that students can read and understand the Yellow Book properly and correctly. This research aims to determine caregivers' efforts to improve students' ability to read the Yellow Book, supporting factors and obstacles experienced by caregivers. The type and approach of this research is descriptive qualitative research. Researchers obtained data through observation, interviews and documentation, the data analysis techniques used were collecting, reducing and displaying data, testing the validity of the data using triangulation. The results of the research conducted by the researchers concluded that: the caregivers reviewed the efforts made by previous caregivers, listened to the students' reading books and then put the students into certain classes based on their understanding of the books. The caregiver determines the method used to teach the yellow book. The supporting factors are books and scriptures, students' interest and enthusiasm for learning and competent teachers in the field of yellow books. The challenges for caregivers are the lack of caregivers who teach the yellow book and the fluctuating morale of the students as well as the caregivers' status as students.
Lirik Lagu Bertaut Karya Nadin Amizah dalam Tinjauan Semiotika Pesan Moral Rizal, Syamsul; Ika Lutfi Nurjanah; Wiwin Purwinarti
Repertoar Vol. 5 No. 2 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/rj.v5n2.p232-242

Abstract

Penelitian ini dilatarbelakangi oleh keunikan lirik lagu “Bertaut” yang bertema hubungan antara ibu dan anak serta penggunaan kiasan yang menarik. Fokus penelitian ini terletak pada penggunaan penanda dan petanda untuk menganalisis elemen tekstual dalam lirik lagu untuk menemukan pesan moral. Tujuan penelitian ini adalah untuk memahami serta mendeskripsikan makna dan pesan moral dalam lirik lagu. Metode yang digunakan adalah kualitatif dengan pendekatan semiotika Ferdinand de Saussure. Teknik pengumpulan data mencakup studi kepustakaan, observasi, dan wawancara terstruktur, Hasil penelitian lirik lagu “Bertaut” mengangkat tema hubungan ibu dan anak serta tantangan hidup. Bait pertama menggambarkan kesulitan hidup, sementara bait kedua menyoroti pentingnya dukungan emosional dari ibu dalam menghadapi keberhasilan dan kegagalan. Bait lainnya menekankan hubungan erat antara ibu dan anak serta perlunya bimbingan dari ibu. “Bertaut” bukan hanya menceritakan tentang sebuah hubungan keluarga, tetapi juga mengandung pesan moral yang dalam tentang kekuatan, kebersamaan, dan penghargaan dalam hubungan orang tua dan anak.
IMPLEMENTASI KURIKULUM PENDIDIKAN AGAMA ISLAM (PAI)” DALAM LINGKUP METODOLOGI PEMBELAJARAN NILAI-NILAI AKHLAK Rizal, Syamsul; M, Amril
Kreatifitas Jurnal Ilmiah Pendidikan Islam Vol 13 No 2 (2024): Kreatifitas: Jurnal Ilmiah Pendidikan Islam
Publisher : Pendidikan Agama Islam Institut Agama Islam Diniyyah Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46781/kreatifitas.v13i2.1321

Abstract

Penelitian ini bertujuan untuk memahami implementasi kurikulum pendidikan agama Islam dalam lingkup pembelajaran nilai-nilai akhlak. Dalam penelitian ini menfokuskan kepada implementasi kurikulum pendidikan agama islam serta memahami implikasi dalam aspek kehidupan yang berakhlak bagi peserta didik. Tujuan dari kurikulum pendidikan agama Islam adalah untuk mendorong siswa untuk meningkatkan iman dan ketaatan mereka kepada Allah. ﷺ serta menumbuhkan akhlak mulia. Metode penelitian ini merupakan Studi kepustakaan dilakukan dengan mengumpulkan data dari buku dan artikel yang relevan. Solusi untuk menerapkan kurikulum PAI dalam metodologi pembelajaran nilai-nilai akhlak dapat berupa berbagai hal, seperti: 1) Peserta didik harus memiliki akhlak yang baik (akhlakul karimah), baik terhadap Allah, terhadap diri sendiri, ataupun terhadap sesame manusia. 2) Guru PAI harus lebih mahir dalam melaksanakan pembelajran, terutama dalam hal metode dan pendekatan pembelajaran nilai-nilai akhlak. 3) Orang tua di rumah dan masyarakat luas harus bekerja sama untuk membuat lingkungan di rumah dan masyarakat luas lebih baik. 4) Guru PAI harus menggunakan pendekatan yang inovatif, kreatif, dan variatif. 5) Media pembelajaran harus dibuat lebih menarik sedemikian rupa. 6) Pembentukan moral siswa melalui pembiasaan dan pembinaan secara konsisten harus ditingkatkan.
The Influence of Audio-Visual Media on Students' Speaking Skills of the First Semester of PAI Program Rizal, Syamsul
MODELING: Jurnal Program Studi PGMI Vol 11 No 4 (2024): Desember
Publisher : Program Studi PGMI Sekolah Tinggi Ilmu Tarbiyah Nahdlatul Ulama Al Hikmah Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69896/modeling.v11i4.2670

Abstract

This study explores the impact of audio-visual media on the speaking skills of the first semester students of PAI program, with a focus on fluency, pronunciation, and overall communication effectiveness. In recent years, the integration of multimedia tools, such as videos, films, and instructional content, has been recognized as a valuable resource in language learning. The research employs a mixed-methods design, combining quantitative assessments of fluency and pronunciation with qualitative interviews to capture students' perceptions. Over a six-week period, participants were exposed to a variety of audio-visual materials, and pre- and post-assessments were conducted to measure improvements in speaking performance. The results indicated a significant enhancement in students' fluency, pronunciation accuracy, and confidence in speaking. Furthermore, students reported increased comfort in engaging in conversations and public speaking after exposure to the media. These findings support the idea that audio-visual media provide authentic language models that help students internalize effective communication strategies. This study underscores the potential of audio-visual tools in fostering speaking skills and suggests that educators should incorporate these resources into language curricula to create a more dynamic and engaging learning environment.
Perancangan Sistem Informasi Manajemen Rumah Sakit (SIMRS) Untuk Evaluasi Kualitatif Penggunaan Antibiotik Dengan Metode Gyssens di RSUD dr. Zainoel Abidin: Designing of Hospital Information System in Qualitative Evaluation of Antibiotic Use Based on The Gyssens Method at dr. Zainoel Abidin Hospital Siregar, Masra Lena; Rizal, Syamsul; Wahyudi, Aris
Journal of Medical Science Vol 5 No 2 (2024): Journal of Medical Science
Publisher : LITBANG RSUDZA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55572/jms.v5i2.146

Abstract

Hingga kini penggunaan antibiotik di rumah sakit cukup tinggi yang berisiko meningkatkan bakteri resisten akibat penggunaan antibiotik yang tidak rasional. Selain itu terdapat faktor lain yang menyebabkan berkembangnya bakteri resisten yaitu penggunaan antibiotik dengan indikasi yang tidak jelas, cara pemakaian yang kurang tepat, status obat yang tidak jelas, serta pemakaian antibiotik secara berlebihan. Metode Gyssens merupakan alat penilaian kualitatif yang sudah dipergunakan secara manual oleh PPRA di Indonesia. Evaluasi kualitatif penggunaan antibiotik dengan metode Gyssens menilai ketepatan penggunaan antibiotik yang meliputi ketepatan indikasi, ketepatan pemilihan berdasarkan efektivitas, toksisitas, harga dan spektrum, lama pemberian, dosis, interval, rute dan waktu pemberian. Tujuan penelitian ini adalah untuk mengembangkan suatu sistem informasi dan teknologi atau program perangkat lunak dalam mengevaluasi ketepatan penggunaan antibiotik dengan menggunakan metode Gyssens. Disain penelitian ini adalah non eksperimental dengan rancangan penelitian secara deskriptif. Pengambilan data dilakukan secara retrospektif di RSUD dr. Zainoel Abidin. Data diambil dari catatan pengggunaan obat dan rekam medis pasien dengan diagnosis penyakit infeksi yang mendapatkan terapi antibiotik. Data catatan penggunaan obat yang telah di review secara manual diolah untuk mengetahui rasionalitas antibiotik kemudian dibuatkan desain sebuah program perangkat lunak untuk memudahkan dalam evaluasi kualitatif. Hasil penelitian ini didapatkan pada penggunaan antibiotik empiris dari total 156 diperoleh sebanyak 85 (54,5%) yang rasional (kategori 0). Sementara pada penggunaan antibiotik definitif dari total 64 diperoleh sebanyak 33 (51,5%) yang rasional (kategori 0). Jenis antibiotik empiris yang banyak digunakan adalah meropenem sedangkan antibiotik definitif terbanyak digunakan adalah vancomicin. The use of antibiotics in hospitals is currently quite high which can increase the risk of bacterial resistance due to irrational use of antibiotics. The other factors that cause the development of bacterial resistance, including the use of antibiotics with inappropriate indications, inappropriate methods of use, unclear drug routes, and excessive use of antibiotics. The Gyssens method is a qualitative assessment that has been used manually by PPRA in Indonesia. Qualitative evaluation of antibiotic use using the Gyssens method to assess the appropriateness of antibiotic use which includes accuracy of indication, accuracy of selection based on effectiveness, toxicity, price and spectrum, duration of administration, dose, interval, route and time of administration. The aim of this research is to develop an information and hospital information system program to eliminate the use of antibiotics using the Gyssens method. This research design is non-experimental with a descriptive method. Data collection was carried out retrospectively at RSUD dr. Zainoel Abidin on inpatients in May to July 2023. Data was taken from drug use records and medical records of patients diagnosed with infectious diseases who received antibiotic therapy. Data on drug use records that have been manually reviewed to determine the rationality of antibiotics, then designed a hospital information system to facilitate qualitative evaluation. The results of this study were obtained on the use of empirical antibiotics, out of a total 156, 85 (54.5%) were rational (category 0). Meanwhile, out of a total 64 definitive antibiotics, 33 (51.5%) were rational (category 0). The most widely used type of empirical antibiotic is meropenem, while the most widely used definitive antibiotic is vancomycin. Keywords: antibiotic, Gyssens, qualitative, hopital information system
Co-Authors A.P, M. Defriansyah ABDULFATTAH, MUHAMMAD EFAN Abdurahmanfarid, Afif Abdus Salam, Abdus Absya, Bafelia Indriyati Adeko, Uun Adel Zamri Adelia Putri, Safira Adi Saputra, Angga Juliat Adian Aristia Anas Aditya, Dimas Affan, Junaidi M agustina, imelda Ahmad Farhan, Ahmad Ahmad Junaidi Ahmad, Lukman Aida Rahmi Nasution, Aida Rahmi Ainal Mardhiah Aini, Jannatun Al-Gunaid, Seba Aldri Frinaldi Alfalaq, Razzaq Alfauzan Amin Alfina Ali Medi Alis Triena Permanasari Alvi Rahmah Amalia, Ghina Amir Hamzah Amirsyah, Mirnasari Amirsyaha, Mirnasari Andika, Joko Andriadi Andriadi Angga Rusdinar Anton Zulkarnain Sianipar Aprilia, Lisnawati Apriyanti Arbi Yasin, Arbi Ardiansyah, Gustio Arba Arif, Zhafeni Arnoldi, Dwi Azka, Tsabita Izzatu Azwar, Beni Azzahra, Khoirunnisa Azzarkasyi, Muhammad Badaruddin Bainar, Bainar Bangun, Kristaninta Basri Basri Bety Bety Bety Bilardo, Topan Candra, Naurah Crisandini Putri Chaliluddin Chikita, Daien Chintia Amelia Pratiwi Dadang Dwi Septiyan, Dadang Dwi Dahlia Dahlia Dara, Cut Deasari, Wulan Defriansyah, Dedi Dewanti, Asri Hajar Dwi Fitriyanti, Hesy Dwi Utami, Eliza Eddy, Syaiful Edy Miswar, Edy Efrizal, Dedi Eke Wince, Eke Eko Setiawan, Aan Elawati, Susila Endarsih, Triya Fadila Fadila, Fadila Fairus, Aulia Fasa, Rahmanita Dian Fauzi, Rafi Rizq Febri Giantara Fiqiyah, Maskanatul Firdaus, Giwa Iqbal Firmansyah, Juli Fitri, Dwi fitria ningsih Fritzy, Ikram Nur Zanetty Fuadi Furqon, Aynan Fu’adah, R Yunendah Nur Giri Mustika Roekmana Hadiyatno Hadiyatno, Hadiyatno Hajriyanti, Rahmi Hamdani Hamzah, Syukri Hariyani Hairunnisa, Neni Harmi, Hendra Hartini Hartini Hasanah Hasanah Hasmah, Siti Havazah, Dhini Khoirunnisa Herdiana, Herdiana Herliana, Fitria Hernandes, Febra Hervrizal, Hervrizal Hery Widijanto Hidayat, Fadly HIDAYATI, BAITI Husaini husnaini, husnaini Husnidar . Ibrahim Ichsan Setiawan Ida Ayu Putu Sri Widnyani Idi Warsah Ijal Fahmi, Ijal Ika Lutfi Nurjanah Ilham Zulfahmi Ilhamdi, Divo Ilyas Ilyas Immasari, Ito Riris Indah Pratiwi Indra Gunawan Inka Dahlianah, Inka Intan Sari Iqbal, Taufiq Irama, Debi Irawan Malik Irham Falahudin, Irham Irma Aryani Irwansyah, Denny Ismail Jaitun Jaitun, Jaitun Jayadi, Sudarman Jen Surya Joni Irawan, Joni Julianti, Mariana Juniarti, Lusia Jurianto Kafrawi Kafrawi Kamilia, Afina Kardina, Nina Keumala, Cut Muftia Khairul Amri Khoirullah, Ananda Thomas Khoirun Nisa Kreshanti, Prasetyanugraheni Kurniawan , Ferry D. Kusdani, Kusdani Kusmiati Kusmiati Kusniawati, Rena Ledya Novamizanti Lestari, Dwi Junianti Lindriany, Julita Lubis, Rahmad Fauzi M Ikhsan M, Amril Maimun Syukri, Maimun Maisyuri Mardiah MARDIANA Mariati Mariati Marinda, Aflia Bela Martina, Feny Maryam Maryam Maryam Masra Lena Siregar, Masra Lena Maulida, Maulida Mauludi, Muhammad Rizky Mayang Sari, Selly Miftahul Rahmah Mila, Andika Nopriansyah Mohd. Nasir Muammar Khadafi MUCHSIN Muhammad Muhammad Hafiz Muhammad Jailani Muhammad Rifki MUHAMMAD TAUFIK Muhammad Wali, Muhammad Munawir Munawir Mursal Mursal Musdar, Musdar Muttaqien Muttaqin, Divia Agustiani Nasir Nasir, Mohd Natela, Hikmatul Nazliati, Nazliati Ngadimin Ngadimin Ni Putu Nita Wijayanti Nisa Amalia, Nisa Nor Kumalasari Caecar Pratiwi Nur Fu’adah, R. Yunendah Nur Ibrahim Nuran, Arsy Luxmy Fatwa Nurmela Prabana, Ipan Prajaputra, Vicky PRATIWI, NOR KUMALASARI CAESAR Purwinarti, Wiwin puspitasari, Arum Putra, Doni Aditya R. Yunendah Nur Fu’adah Rahayu, Eko Rahayu, Nadiya Cantika Rahimi, Sayyid Afdhal El Ramadani, Alan Ramadhan, Ferdian Ilham Ramadhoni, Tri Satya Ramdhani, Afwan Muhamad Ratna Mutia Aprilla Ratnaningsih, Herin Razali Thaib Reza Maulana Rhoni Rodin Rian Permana Rianjuanda Ridhatama, Muhammad Fakhri Rima Novirianthy Riska Riska Rizki Ananda Rizky, Avisha Tiara Rohani, Tri Rohimin Rohimin Romli Romli, Romli Rosyidah, Isy Maryam RR. Ella Evrita Hestiandari Rusmandi, Heri Safitri, Irma Safitri Saiful Saiful Amri Sailon Sailon, Sailon Salsabila, Rifqah Ainun Sampurno, Rachmat Dwi Samsuar, Samsuar Santosa, Atharizky Ade Saraswati, Dwi Bekti Sarboini Sarboini, Sarboini Sari, Dewi Purnma Sari, Rita Sari Selfiana, Rani Seprianto, Dicky Seprianto, Seprianto Septian, Dadang Dwi septrianti, nabila adisty Setiawan, Jamil Shabet, Ali Silvia, Lady Siregar, Friska Anggi Siti Handayani Slamet . Soegeng Witjahjo SOFIA SAIDAH Soleha, Sovatu Nisa Soleha, Sovatunisa Sri Wahyuni Sri Wulandari suhandi, amin Suhaya Suhaya, Suhaya Sulistyawati, Hesti Sundari, Ella Suryani Suryani Suryani, Nyayu Yayu Suryo Adhi Wibowo Sutarto Sutarto SUTRIONO SUTRIONO Suwardi, Pratiwi Jasmine Syafitri, Ranny Aulia Syahril Syahril Syam, Asrul Syarifah Farissi Hamama Tamara, Veny Tarmizi Taslima, Devyana Enggar Taufikurrahman Taufikurrahman Tazkiyah, Tamara Thaib Rizwan, Thaib Tiara, Meza Tri Wulandari Trimin Kartika, Trimin Trimono, Trimono Umar, Nyak Utami, Valisneria Vidya, Hurianti Viktowot, Viktowot Wahyu Utami, Wahyu Wahyuni, Agus Waraztuty, Ika Warsah, Idi Warsah Widagdo, Tri Wilza, Romi Wiranata, Erik Wirawn, Pandy Akbar Wiwin Purwinarti Yuhaswita Yulia Citra, Yulia Yuliandi, Rizky Brillian Yulistio, Didi Yunita Suffiana Yusrianto, Edi Yusuf, Zulfan Zahri, Zakiyah Ilmi Zainuddin, Zainuddin Zakaria Zakaria Siregar, Zakaria Zakaria, Iskandar Zamheri, Ahmad Zonyfar, Candra Zulensi, Fisabilillah Caudilo Zulhamdi, Zulhamdi