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All Journal Rekursif: Jurnal Informatika Communications in Science and Technology Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Medika Teknika : Jurnal Teknik Elektromedik Indonesia
Oktoeberza, Widhia KZ
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Automated localisation of optic disc in retinal colour fundus image for assisting in the diagnosis of glaucoma Listyalina, Latifah; Nugroho, Hanung Adi; Wibirama, Sunu; Oktoeberza, Widhia KZ
Communications in Science and Technology Vol 2 No 1 (2017)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.2.1.2017.43

Abstract

Optic disc (OD), especially its diameter together with optic cup diameter can be used as a feature to diagnose glaucoma. This study contains two main steps for optic disc localisation, i.e. OD centre point detection and OD diameter determination.  Centre point of OD is obtained by finding brightness pixel value based on average filtering.  After that, OD diameter is measured from the detected optic disc boundary.  The proposed scheme is validated on 30 healthy and glaucoma retinal fundus images from HRF database.  The results are compared to the ground truth images.  The proposed scheme obtains evaluation result (E) for healthy and glaucoma images is 0.23 and 0.21, respectively.  These results indicate successful implementation of automated OD localisation by detecting OD centre point and determining OD diameter.
Interference effect during word-task and colour-task in incongruent stroop-task Hotama, Christianus Frederick; Nugroho, Hanung Adi; Soesanti, Indah; Oktoeberza, Widhia KZ
Communications in Science and Technology Vol 2 No 2 (2017)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.2.2.2017.59

Abstract

Stroop-task is one of the most popular studies to check the ability of decision-making and cognitive process during high interference activity in the brain.  In the incongruent Stroop-task, the difference between the colour that we read and the colour that we see produces high interference activities in the brain.  This research aims to analyse the activity differences in each part of the brain during colour-task and word-task.  This study investigates how well the ability of decision-making and cognitive process during high interference activities that occur in the brain.  Electroencephalography (EEG) can record brain activities by recording the brain waves.  The results show that recognising the colour is more difficult than that of the written words in the Stroop-task as indicated by statistical test with t-value greater than threshold value (t>2.0027) and significant level of 0.05.  This study concludes that the colour-task gives more interference effect than the word-task.  The more interference effect is produced, the more wrong decision-making is obtained. 
Dark lesion elimination based on area, eccentricity and extent features for supporting haemorrhages detection Yulyanti, Vesi; Adi Nugroho, Hanung; Ardiyanto, Igi; Oktoeberza, Widhia KZ
Communications in Science and Technology Vol 4 No 1 (2019)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (410.365 KB) | DOI: 10.21924/cst.4.1.2019.110

Abstract

One of the complications due to the long-term of diabetes is retinal vessels damaging called diabetic retinopathy. It is characterised by appearing the bleeding spots in the large size (haemorrhages) on the surface of retina. Early detection of haemorrhages is needed for preventing the worst effect which leads to vision loss. This study aims to detect haemorrhages by eliminating other dark lesion objects that have similar characteristics with haemorrhages based on three features, i.e. area, eccentricity and extent features. This study uses 43 retinal fundus images taken from DIARETDB1 database. Based on the validation process, the average level of sensitivity gained is 80.5%. These results indicate that the proposed method is quite capable of detecting haemorrhages which appear in the retinal surface.
Sistem Informasi Pelaksanaan Zakat di Masjid Al-Khair Kota Bengkulu Muthi, Marsa Hulwa Indri; Luthfi, Irfan; Oktoeberza, Widhia KZ
Rekursif: Jurnal Informatika Vol 11 No 2 (2023): Volume 11 Nomor 2 November 2023
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v11i2.32346

Abstract

Zakat, as a fundamental pillar in Islam, plays a crucial role in maintaining the social and economic well-being of the Muslim community. Despite the transformation of societal behavior in the era of digitalization, the utilization of technology in the execution of zakat remains limited. In Masjid Al-Khair, Bengkulu City, challenges related to financial information and low awareness of charitable contributions pose issues. This research proposes a solution in the form of a mosque information system. This system is designed to facilitate the community in contributing to zakat and enhance the financial transparency of the mosque, bridging the gap between needs and limitations in the digital era. It is hoped that the implementation of this website system will boost community participation, provide easily accessible information, and promote transparency and efficiency in zakat activities in the digital era.
Sistem Informasi Presensi di SMA Negeri 1 Kepahiang Menggunakan Quick Response Code Aliana, Mareta; Ikhsan, Arif Rahmat; Oktoeberza, Widhia KZ
Rekursif: Jurnal Informatika Vol 11 No 2 (2023): Volume 11 Nomor 2 November 2023
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v11i2.32347

Abstract

SMA Negeri 1 Kepahiang is one of the public high schools located in Kepahiang Regency, Bengkulu Province. The school currently utilizes a manual attendance system, which poses several drawbacks, including the risk of inaccurate data entry and the time-consuming process of cross-referencing individual student/teacher attendance records to identify those who are absent due to illness, leave, or other reasons. The implementation of QR Code technology in the student attendance system is expected to address these challenges and facilitate the recording of attendance data, enabling a faster and more accurate recapitulation process. A system capable of addressing these issues is deemed necessary. The researcher conducted the design of a database, developed User Interface (UI) / User Experience (UX) designs, implemented the system, and concluded with a testing phase. The introduction of this information system is anticipated to streamline and expedite the student attendance process. Keywords: Information System, Attendance, QR Code, Public High School.
Rancang Bangun Sistem E-Raport di MAN 2 Kota Bengkulu Berbasis Website Gita Fitria, Nabila; Oktoeberza, Widhia KZ
Rekursif: Jurnal Informatika Vol 12 No 1 (2024): Volume 12 Nomor 1 Maret 2024
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v12i1.33690

Abstract

MAN 2 Bengkulu City still collects and processes daily student assessment data manually. The teacher records the test scores on paper and then processes them in Excel. This manual process results in less efficient assessments due to potential errors and data loss. To overcome this problem, it is necessary to have a website-based e-report system at MAN 2 Bengkulu. This system is intended to benefit teachers in processing grades effectively and efficiently until the final output is obtained in the form of a report. The system is designed using the PHP programming language, Laravel framework, and MySQL as the database. System development follows the waterfall method and uses data collection methods to be used as research material. Furthermore, the system was tested using black box testing and a percentage of 100% was obtained, which indicated that the system was very effective to use
Sistem Informasi Jurnal Mengajar Studi Kasus SMA Negeri 3 Kota Bengkulu Zarah Juaita, Aisyah Amelia; Saputri, Dian Ardiyanti; Oktoeberza, Widhia KZ
Rekursif: Jurnal Informatika Vol 13 No 1 (2025): Volume 12 Nomor 1 Maret 2025
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v13i1.39609

Abstract

SMA Negeri 3 Kota Bengkulu masih melakukan pencatatan kegiatan pembelajaran secara manual sehingga kurang efisien dalam pelaksanaan dan dokumentasi kegiatan belajar mengajar. Untuk meningkatkan pengelolaan jurnal mengajar di SMA Negeri 3 Kota Bengkulu, maka dikembangkan Sistem Informasi Jurnal Mengajar berbasis website agar dapat mempermudah dalam proses pengelolaan data pembelajaran dan mengoptimalkan pencatatan jurnal mengajar. Dengan menggunakan framework Laravel dan metode waterfall sebagai metode pengembangan sistem, diperoleh sebuah sistem informasi dengan pengujian blackbox dengan tingkat keberhasilan yang tinggi. Sistem informasi yang telah diuji menggunakan metode blackbox menunjukkan bahwa setiap fitur-fitur yang disediakan mampu mempermudah proses pencatatan kegiatan pembelajaran di SMA Negeri 3 Kota Bengkulu, sehingga evaluasi dan pelaporan hasil kegiatan pembelajaran yang dihasilkan lebih akurat. Kata Kunci: Sistem Informasi, Jurnal Mengajar, Waterfall, Laravel, Data Pembelajaran.
Sistem Manajemen Reservasi Ruangan di Gedung Pusat Kegiatan Mahasiswa (PKM) Universitas Bengkulu Hijrayanti, Hikmah; Butar Butar, Federika; Oktoeberza, Widhia KZ
Rekursif: Jurnal Informatika Vol 13 No 1 (2025): Volume 12 Nomor 1 Maret 2025
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v13i1.39624

Abstract

The Bengkulu University Student Activities Center (PKM) requires an efficient room reservation management system to overcome manual processes that are prone to errors, delays and lack of transparency. This project aims to design and develop a web-based Room Reservation Management System using the Laravel framework, which allows students to see real-time room availability and make online reservations. This system also makes it easy for admins to manage room and reservation data systematically and avoid schedule conflicts. With the Waterfall development methodology, system design is carried out using Unified Modeling Language (UML) and testing using the Black Box Testing method. This system is expected to increase the efficiency of room management, provide information transparency, and minimize manual process obstacles, thereby supporting the effectiveness of student activities. Implementation of this system contributes to the modernization of campus administration services and optimization of PKM facilities.
Klasifikasi Kanker Kulit Berbasis CNN dengan Metode Hybrid Preprocessing Dartiko, Fedryanto; Pradana, Refki Jorgi; Sari, Renti Epana; Syahputra, Wahyu; Oktoeberza, Widhia KZ
Medika Teknika : Jurnal Teknik Elektromedik Indonesia Vol. 5 No. 2 (2024): April
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/mt.v5i2.22675

Abstract

Kulit dapat mengalami berbagai gangguan kesehatan jika mendapatkan paparan lingkungan luar yang terlalu intens, salah satunya adalah kanker kulit. Untuk itu, deteksi dini sangat diperlukan agar pasien sesegera mungkin mendapatkan penanganan lebih lanjut. Penelitian ini bertujuan untuk klasifikasi kanker kulit benign (jinak) dan malignant (ganas). Pemanfaatan AI dapat digunakan dalam klasifikasi karena dapat meningkatkan nilai akurasi. Metode convolutional neural network (CNN) dilibatkan dalam penelitian ini. Metode CNN dapat mengklasifikasi dengan cepat dan memiliki nilai akurasi yang cukup tinggi tanpa harus mengekstraksi fitur terlebih dahulu. Kontribusi dalam penelitian ini yakni menggunkan metode hybrid preprocessing yang terdiri dari CLAHE, morphological closing dan median filter pada preprocessing data untuk menghilangkan noise yang biasanya terdapat pada epidermis kulit berupa  rambut-rambut halus. Metode CNN selanjutnya memproses masukan citra dari hasil preprocessing, lalu mengklasifikasikan citra  kanker kulit menjadi kategori benign dan malignant. Setelah tahap pengujian sistem berhasil memperoleh hasil yang cukup memuaskan, dengan nilai accuracy sebesar 78,19% dan loss 0.5324. Kinerja sistem dengan metode yang diusulkan mencapai akurasi yang baik dan cukup mampu diimplementasikan untuk membantu para profesional medis dalam membuat mendiagnosis kanker kulit.
Analisis Komparatif Metode Peningkatan Kontras Citra Bawah Air Menggunakan HE, AHE, dan CLAHE Ernawati, Ernawati; Oktoeberza, Widhia KZ; Andreswari, Desi; Purnama Sari, Julia; Erlansari, Aan; Farady Coastera, Funny; Dwi Jayanto, Paksi
Rekursif: Jurnal Informatika Vol 13 No 1 (2025): Volume 12 Nomor 1 Maret 2025
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v13i1.42151

Abstract

significant challenge in the field of digital image processing due to poor lighting conditions and uneven intensity distribution. This study aims to compare three contrast enhancement techniques Histogram Equalization (HE), Adaptive Histogram Equalization (AHE), and Contrast Limited Adaptive Histogram Equalization (CLAHE) applied to underwater imagery. The evaluation was conducted using quantitative metrics including entropy, contrast (RMS), and Structural Similarity Index (SSIM) to assess the improvement in image detail, intensity distribution, and structural similarity to the original image. Experimental results indicate that AHE achieves the highest entropy values, reflecting a significant enhancement of local information. HE provides the highest contrast values but tends to compromise the structural integrity of the image. CLAHE demonstrates the most balanced performance, producing the highest SSIM scores while maintaining stable enhancements in both contrast and detail. Based on these findings, CLAHE is recommended as the most effective contrast enhancement technique for underwater images, as it improves visual quality while preserving the original image structure. Key words : Underwater image enhancement; Contrast enhancement; CLAHE; HE; AHE.
Co-Authors Aan Erlansari Afdhal Kurniawan Mainil Aliana, Mareta Butar Butar, Federika Dartiko, Fedryanto Desi Andreswari Dwi Jayanto, Paksi Ernawati Ernawati Funny Farady Coastera Gita Fitria, Nabila Hanung Adi Nugroho Hijrayanti, Hikmah Hotama, Christianus Frederick Huda, Widya Nurul Igi Ardiyanto Ikhsan, Arif Rahmat Indah Soesanti Julia Purnama Sari Julia Purnama Sari Listyalina, Latifah Luthfi, Irfan Muthi, Marsa Hulwa Indri Pradana, Refki Jorgi Rahman, Muhammad Farchan Al Saputri, Dian Ardiyanti Sari, Renti Epana Sunu Wibirama Syahputra, Wahyu Vasiguhamiaz, Azvadennys Yulyanti, Vesi Zarah Juaita, Aisyah Amelia