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Hubungan antara Durasi Puasa Preoperatif dan Kadar Gula Darah Sebelum Induksi pada Pasien Operasi Elektif di Rumah Sakit Dr. Hasan Sadikin Bandung Hartanto, Budi; Suwarman, -; Sitanggang, Ruli Herman
Jurnal Anestesi Perioperatif Vol 4, No 2 (2016)
Publisher : Faculty of Medicine, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (444.209 KB)

Abstract

Puasa preoperatif merupakan keharusan sebelum dilakukan tindakan anestesi. Alasan utamanya adalah untuk mengurangi volume lambung, tingkat keasaman lambung, dan mengurangi risiko aspirasi paru. Namun, puasa preoperatif sering kali lebih lama daripada yang direkomendasikan karena berbagai sebab. Tujuan penelitian ini mengetahui durasi puasa preoperatif pada pasien operasi elektif dan hubungan antara durasi puasa preoperatif dan kadar gula darah sebelum induksi pasien operasi elektif di Rumah Sakit Dr. Hasan Sadikin Bandung. Penelitian observasional dilakukan selama 1–31 Juni 2014 dengan melakukan wawancara pasien sebelum induksi anestesi dan pengukuran kadar gula darah menggunakan glukometer. Analisis korelasi menggunakan Uji Mann-Whitney. Hasil penelitian pada 371 pasien didapatkan lama puasa dari makanan padat, durasi minimum adalah 4 jam, maksimum 20,5 jam, dan rata-rata 10,42 jam. Pada puasa dari minuman, durasi puasa minimum adalah 2 jam, maksimum 18 jam dengan rata-rata 8,06 jam. Terdapat 8 pasien dengan kadar gula darah kurang dari 70 mg/dL dengan rentang kadar gula darah 59–70 mg/dL dan rentang durasi puasa 6–18 jam. Tiga di antaranya orang lanjut usia di atas 60 tahun. Sebanyak 253 pasien berpuasa makanan padat >8 jam dan 357 pasien berpuasa minuman >2 jam. Simpulan, tidak terdapat hubungan antara durasi puasa dan kadar gula darah sebelum induksi.Kata kunci: Durasi puasa preoperatif, kadar gula darah, operasi elektifCorrelation between Preoperative Fasting Duration and Blood Glucose Level before Induction in Elective Surgery Patients in Dr. Hasan Sadikin General Hospital BandungPreoperative fasting is a requisite before anesthesia. The main reason for preoperative fasting is to reduce gastric volume and acidity and, thus, decrease the risk of pulmonary aspiration. However, preoperative fasting is usually prolonged beyond the recommended time for various reasons. Despite the many adverse effects of prolonged fasting, patients sometimes fast for a prolonged time when the surgery is delayed for different reasons. The aim of this study was to assess the duration of preoperative fasting for elective surgery and its correlation with blood glucose after preoperative fasting in Dr. Hasan Sadikin General Hospital Bandung. An observational study was conducted from 1- 31 June 2014. Patients were interviewed before induction, and blood glucose level was measured using a glucometer. A correlation analysis was performed using Mann-whitney test. All 371 elective surgery patients admitted during the study period were included. The minimum, maximum, and mean fasting hours for food were 4, 20.5, and 10.42, respectively. The minimum, maximum, and mean fasting hours for fluid were 2, 18, and 8.06, respectively. Only 8 patients had blood a glucose level below 70 mg/dL with blood glucose levels range from 59 to 70 mg/dL and duration of fasting range from 6 to 18 hours. Three of elderly patients, who was above 60 years old, participated in this study. There were 253 patients (68.2%) fasted from solid food more than 8 hours and there were 357 (96.2%) fasted from clear fluid more than 2 hours. It is concluded that there is no correlation between duration of fasting and blood sugar level before induction.Key words: Duration of preoperative fasting, elective surgery, blood glucose level DOI: 10.15851/jap.v4n2.822
GENERATING A SEAMLESS TILING OF A NATURE IMAGE Hartanto, Budi
Jurnal Informatika Vol 8, No 1 (2007): MAY 2007
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1120.699 KB) | DOI: 10.9744/informatika.8.1.pp. 29-36

Abstract

Tiling is a process to create a repetitive - larger size - image. However if the picture on the left side of the original image is not continuous to the picture on its right side, the tiling image will have a virtual vertical line called seam. Meanwhile the virtual horizontal line will appear if the picture on the top side of the original image is not continuous to the picture on its bottom side. The research performed here tries to generate a seamless tiling image by finding the closest match of the fractional source image to the partially build resulted image. From the experiment, it can be shown that the quality of the resulted image are affected by the number of similar elements in the source image, the number of fractional images created from the source image, and the width of the overlap area. Source image with a lot of similar element, high number of fractional images, and wider size of the overlap area have been proven to yield a seamless tiling image.
SIMULATING THE EFECT OF CAMERA LENS IN COMPUTER GENERATED PICTURE Hartanto, Budi; Rosalina, Silvia
Jurnal Informatika Vol 7, No 1 (2006): MAY 2006
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (134.32 KB) | DOI: 10.9744/informatika.7.1.pp. 10-16

Abstract

Original ray tracing method can be used to create picture of objects that are very similar to photographic. However for simplicity, the method mimics a pinhole camera in its model. In pinhole camera all objects visualized in the image generated will be seen sharp. In some cases, this kind of image is acceptable but in other cases it is not. For example, in the movie industry, sometimes it is preferable to get the image that can be focused to a certain object and not to all objects. This effect occurs due to the usage of a lens in a camera. In order to get the same effect to the real camera, then it is necessary to modify the original ray tracing method to use lens in its model. The research performed here has successfully simulating the effect of lens in camera. Therefore only objects that are placed in the lens focus will be seen sharp while the others will become blurry.
THE USAGE OF GRAPHICAL PASSWORD AS A REPLACEMENT TO THE ALPHANUMERICAL PASSWORD Hartanto, Budi; Santoso, Bagus; Welly, Siauw
Jurnal Informatika Vol 7, No 2 (2006): NOVEMBER 2006
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (485.635 KB) | DOI: 10.9744/informatika.7.2.pp. 91-97

Abstract

Alphanumerical password is the password scheme that obligates the users to enter characters as their password. In spite of its popularity, alphanumerical password usually can be cracked easily when it is used by novice users. Since these users usually type their password slowly, unauthorized person can get the password easily by observing the movement of the users' finger as they entering the password. A graphical password is proposed to replace the alphanumerical password. From the experiment it can be shown that none of users graphical password can be cracked, meanwhile 80% of the users' alphanumerical password can be cracked by the researcher. However in average, users need only 4.68 seconds to enter the password in alphanumerical password scheme, meanwhile in graphical password scheme it takes about 39.06 seconds. Hence password entry in the graphical password scheme needs about 8 times longer than in alphanumerical password. Based on this fact, the graphical password may still be considered to be used in applications that do not need a rapid password entry and the system security is becoming the main issue.
Implementasi Metode Prototyping Dalam Membangun Sistem Kepegawaian Umitra Indonesia Berbasis Web syah, agus kurniawan; Yuniarthe, Yodhi; Hartanto, Budi
Jurnal Alih Teknologi Sistem Informasi (JATSI) Vol 2, No 2 (2022)
Publisher : Universitas Mitra Indonesia

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Abstract

Implementasi Merupakan tindakan untuk mencapai tujuan tujuan yang telah ditetapkan dalam suatu keputusan. Sedangkan Metode Prototyping yaitu melakukan perancangan sistem yang akan dikembangkan dapat menggunakan metode prototype atau prototyiping. Sistem merupakan sebuah kumpulan prosedur yang saling berhubungan dan melakukan pekerjaan bersama-sama untuk mencapai tujuan bersama. Informasi adalah data mentah yang telah di olah sedemikian rupa menjadi sebuah fakta yang berguna bagi yang membutuhkannya.Kepegawaian merupakan sebuah kegiatan mengelola sumber daya manusia pada sebuah organisasi. Pada dasarnya kepegawaian adalah sebuah kegiatan mengelola kepangkatan, kewajiban, serta hak yang harus didapat oleh pegawai tersebut Kata kunci: Implementasi, Metode Prototyping, Sistem, Informasi, Kepegawaian
IMPELEMENTASI CONVOLUTIONAL NEURAL NETWORK MENGGUNAKAN MODEL MOBILENET DALAM APLIKASI PRESENSI BERBASIS PENGENALAN WAJAH Hartanto, Budi; Yudanto, Bramasto Wiryawan; Nugroho, Didik; Tomo, Sri
Biner : Jurnal Ilmiah Informatika dan Komputer Vol 3 No 1 (2024): Januari
Publisher : Program Studi Teknik Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Sains Al-Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/biner.v3i1.6607

Abstract

Kecerdasan buatan merupakan suatu kemampuan sistem untuk mengimpretasikan suatu data eksternal secara benar. Teknik Artificial intelegence (AI) menggunakan data dalam jumlah yang besar untuk membuat mesin atau sistem menjadi semakin cerdas yang bisa menangani tugas-tugas yang membutuhkan kecerdasan manusia. Pada penelitian ini mengungkapkan bahwa dengan menerapkan model deep learning menggunakan Model Deep Learning Mobilefacenet dapat mengenali objek wajah dengan prediksi yang sangat baik. Metode dalam penelitian ini menggunakan metode kuantitatif. Tujuan dari penelitian ini yaitu dengan menerapkan model Convolutional Neural Network atau CNN maka model untuk prediksi berdasarkan data citra dapat bekerja secara baik.. Dalam pengembangan model ini menghasilkan suatu aplikasi presensi yang dapat digunakan oleh pihak Sekolah sebagai media alternative dalam proses presensi.
OPTIMASI DETEKSI TEPI PADA CITRA DIGITAL MELALUI TUNING HYPERPARAMETER CLAHE DAN FILTER BILATERAL: STUDI KASUS PADA GAMBAR KENDARAAN Hartanto, Budi; Yudanto, Bramasto Wiryawan; Nugroho, Didik
Biner : Jurnal Ilmiah Informatika dan Komputer Vol 3 No 2 (2024): Juli
Publisher : Program Studi Teknik Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Sains Al-Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/biner.v3i2.7745

Abstract

Penelitian ini bertujuan untuk mengoptimalkan deteksi tepi gambar dengan menggabungkan metode Holistically-Nested Edge Detection (HED) dan filter Sobel-Laplacian. Metode ini diterapkan setelah tahap preprocessing yang mencakup Contrast Limited Adaptive Histogram Equalization (CLAHE) untuk peningkatan kontras dan filter bilateral untuk pengurangan noise. Tuning hyperparameter dilakukan untuk meningkatkan performa deteksi tepi. Evaluasi menunjukkan hasil terbaik dengan Precision sebesar 0.1920, Recall 0.5747, F1 Score 0.2878, Accuracy 0.7231, IoU Score 0.1681, dan ROC AUC Score 0.6569. Temuan ini menunjukkan bahwa metode yang diusulkan dapat meningkatkan akurasi deteksi tepi dengan hasil Recall dan Accuracy yang lebih baik dibandingkan metode konvensional, meskipun Precision dan IoU masih menunjukkan potensi untuk perbaikan lebih lanjut. Penelitian ini memberikan wawasan tentang pengaruh preprocessing dan tuning hyperparameter terhadap hasil deteksi tepi, serta aplikasinya dalam berbagai bidang pengolahan citra.
PENINGKATAN MOTIVASI DAN HASIL BELAJAR IPA MELALUI PENERAPAN MODEL PEMBELAJARAN TGT PADA SISWA KELAS VIII A SMP NEGERI 1 GIRITONTRO TAHUN PELAJARAN 2022/2023 Hartanto, Budi
Jurnal Jaringan Penelitian Pengembangan Penerapan Inovasi Pendidikan (Jarlitbang) Vol. 9 Nomor 1 Juni 2023
Publisher : Badan Perencanaan Pembangunan Daerah dan Penelitian dan Pengembangan Kabupaten Wonogiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59344/jarlitbang.v9i1.109

Abstract

This classroom action research aims to increase motivation and learning outcomes through the application of the Teams Games Tournament (TGT) model in science learning material Motion of Objects for class VIII A students of SMP Negeri 1 Giritontro, Academic Year 2022/2023. The object of his research is the motivation and learning outcomes of students in the science subject matter of Object Movement. The types of data collected in this research are primary data and secondary data. Primary data sources are teachers and students, including summative test scores, and observations during the learning process. While secondary data comes from colleagues who become observers. The results of this study indicate an increase in student learning outcomes, this can be seen from the percentage of learning completeness in pre-cycle 46%, in cycle 1 it becomes 73%, and it becomes 92% in cycle 2. Student motivation in pre-cycle learning is low, in cycle 1 being moderate, and in cycle 2 the high category. With the application of the TGT learning model, teachers can change the paradigm from teacher-centered learning to student-centered learning.
Simple Additive Weight Method in Determining Promotion Target for New Student Admission at STMIK Sinar Nusantara Dziky Ridhwanullah; Hartanto, Budi; Raharja, Bayu Dwi
Ittishal Educational Research Journal Vol. 5 No. 1 (2024): Ittishal Educational Research Journal
Publisher : International Islamic Schools Alliance

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51425/ierj.v5i1.67

Abstract

Each university will hold PMB (New Student Admission) activities. Similar to STMIK Sinar Nusantara, which is one of private universities in Surakarta, these events are held annually to draw in individuals who wish to pursue higher education. This is a very significant activity for a private university, with a new improvement target each year. At a private university, the number of new students is crucial because it is the primary source of funding. Activities of New Student Admission (PMB) at STMIK Sinar Nusantara have shown a decreasing tendency for a number of years. Institutional development and instructional activities will be impacted by this. One of the reasons is the widespread adoption of promotional targets that lack a scholarly foundation. Therefore, a decision support system is required to solve this issue. This study aims to assist policy makers in selecting appropriate promotion targets. The technique in this research is Simple Additive Weighting (SAW). The school promotion targets derived from the school ranking order and cluster classification are the outcomes of this study. With a score of 0.96, SMKN 1 Bulukerto School got the highest preference computation score. SAW method-based decision support system has been successful in identifying the appropriate promotional targets. The results of this research can be used by policy makers organizing activities of new student admission in promoting STMIK Sinar Nusantara to increase the number of new students.
Leveraging Artificial Intelligence to Combat Corruption: Innovative Solutions for Transparent Governance Hartanto, Budi; Ikhwan, Ahmad; Eko Hendro Pramono, Doni; Sukri, Hamdan; Fitria Purnomo, Rosyana
RISTEC : Research in Information Systems and Technology Vol. 5 No. 2 (2024): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

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Abstract

Abstract: Corruption is one of the major problems that harms both the country and society, with far-reaching impacts on the economy and social stability. To combat corrupt practices, Artificial Intelligence (AI) has emerged as a promising tool for detecting and preventing corruption. This article aims to explore how AI can be applied in this context by identifying its potential, challenges, and solutions that can be provided.In terms of detection, AI can analyze large datasets collected from various sources, such as financial transactions, procurement reports, and interactions between government officials. Machine learning algorithms can be used to identify suspicious or unusual patterns that may indicate corrupt practices. Additionally, AI can also be applied in prevention, such as developing automated surveillance systems that provide early warnings of potential irregularities.However, the use of AI in the fight against corruption faces challenges, including issues related to data security, algorithmic bias, and the need for clear regulations. This article concludes that, despite these challenges, AI holds significant potential in strengthening anti-corruption efforts, particularly when combined with appropriate policies. The implementation of AI can be a strategic step in creating more transparent and accountable governance.