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All Journal JOIV : International Journal on Informatics Visualization JOURNAL OF SCIENCE AND SOCIAL RESEARCH Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) PUBLIDIMAS CSRID
Negoro, Wahyu Saptha
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Deteksi Citra CT Scan Paru-paru untuk Penentuan Luas dan Keliling dengan Metode Active Contour Negoro, Wahyu Saptha; Azhar, Asbon Hendra; Destari, Ratih Adinda
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 6, No 1 (2025): Edisi Januari
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v6i1.567

Abstract

Much research has been carried out on medical image processing by developing various methods of image processing. The research was carried out with the aim of improving image quality, so that it is easier to interpret and analyze images objectively. The same is true for CT scan images of the lungs, which are images in DICOM (Digital Imaging and Communications in Medicine) format which were researched using the Active Contour method to be able to segment the borders of the lungs and be able to calculate the size of their area and circumference more appropriate. There were 5 CT scan images of the lungs used in this research as examples of segmentation using the Active Contour method. The results obtained from detecting CT scan images of the lungs based on validation of the suitability of calculating the area and circumference of the lungs by doctors have an accuracy of 80%. Based on this research, it can be used as a medical reference for determining the size of the area on CT scan images of the lungs.
Detection of Keratitis in The Cornea By Developing An Active Contour Method Based on Contrast Features Negoro, Wahyu Saptha; Sumijan, Sumijan; Bukhori, Saiful
JOIV : International Journal on Informatics Visualization Vol 9, No 2 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.2.3356

Abstract

Digital Image Processing (DIP) is a scientific discipline that uses computer image processing techniques. The object of this research is keratitis on the cornea. The image of keratitis is obtained using a slit lamp at Padang Aye Center (PAC) Hospital, based on the results of the diagnosis, namely by looking at the development of the infiltrate or also called hypopyon, measuring the ulcer borders horizontally and vertically to evaluate improvement or response to the treatment given. The clinical results cannot determine the extent and circumference of the keratitis layer area that responds to treatment in the corneal area. The images used were 206 slit lamp images of keratitis. This research provides knowledge in the form of contrast values in the Active Contour method, resulting in an update called Active Contour Contrast Adjustment (ACCA) in correctly segmenting keratitis objects and providing measurements of the area and perimeter of the keratitis area. Overall. The research results from 206 slit lamp images, 195 slit lamp images of keratitis could detect keratitis correctly, and eleven slit lamp images of keratitis could not be detected, resulting in an accuracy of 94.66%. Meanwhile, the standard Active Contour accuracy was not detected at all or 100% undetected. Based on 11 images not detected using the (ACCA) method from 206 images, an accuracy of 5.33% was obtained. So, the results obtained are outstanding and can be used as a reference for medical personnel.
Implementasi Tanggung Jawab Kepolisian Tentang Pengamanan Eksekusi Jaminan Fidusia Simatupang, Boby Daniel; Negoro, Wahyu Saptha; Ramadhani, Ivo
Publikasi Pengabdian Masyarakat Vol 5 No 1 (2025): PUBLIDIMAS Vol. 5 No. 1 MEI 2025
Publisher : LPPM Universitas Potensi Utama

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Abstract

In the Indonesian Government regulations, Fiduciary has been stated in Law No. 42 of 1999. Where the definition of Fiduciary is a process of transferring ownership of an object based on trust, but the object is still in the control of the party who transferred it. So that the Law becomes a means of creating a community rule that exists for everyone who wants to feel justice so that it becomes the main focus of the formation of legislation that must be in accordance with the principles of justice and the function of law as social control, then this relationship between law and social values ​​is interrelated where law as a solution to problems for society in general. Law has a dual function on the one hand is an action that may be so institutionalized which is then used by society to achieve a goal of solving problems in the responsibility of the police regarding the security of the Execution of Fiduciary Guarantees. The method used in this study is the Applied Research Method, where this method is a type of research whose results can be directly applied to solve the problems being faced. As. Prof. Mr. E.M Meyers who defines Law in his book "De Algemene bergrippen van het burglijik Recht" (Law is all rules that contain moral considerations, aimed at human behavior in society, and which serve as guidelines for state authorities in carrying out their duties). And Leon Duhuit's theory: "law is a rule of behavior for members of society, a rule whose use at a certain time is respected by a society as a guarantee of a collective reaction and which if violated will cause a collective reaction against the person who committed the violation" Problem Formulation (1). What is the attitude of vehicle owners who are still on credit in arrears in payments; (2) What needs to be prepared if you meet a Leasing Debt Collector; (3). Who has the right to carry out a fiduciary execution seizure.he abstract begins with an Indonesian
Segmentation and Classification of Vitamin C Content in Red Chili Pepper Images Using the Linear Discriminant Analysis (LDA) Method: Segmentation and Classification of Vitamin C Content in Red Chili Pepper Images Using the Linear Discriminant Analysis (LDA) Method Ramadhanu, Agung; Chan, Fajri Rinaldi; Yasmin, Nabilla; Negoro, Wahyu Saptha; Mardison, Mardison; Hendri, Halifia
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 2 (2025): Juni 2025
Publisher : LPPM Universitas Potensi Utama

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Abstract

The vitamin C content in red chili peppers plays a crucial role in meeting nutritional needs, particularly in free nutritious lunch programs. Red chili peppers are one of the essential sources of vitamin C in daily consumption. However, vitamin C content in chilies can degrade due to storage and drying processes. This study develops a segmentation and classification method for vitamin C content in red chili pepper images using Linear Discriminant Analysis (LDA) as a faster and more efficient alternative to conventional laboratory methods. The dataset consists of 100 red chili images categorized into fresh and dried chilies. The analysis process includes preprocessing, feature extraction of color and texture (RGB, HSV, GLCM), dimensionality reduction, and classification using LDA. Experimental results show that this method achieves 99% accuracy on training data and 97% on test data, demonstrating that digital image processing can serve as a non-destructive approach for food quality estimation. This approach has the potential to be applied in food quality monitoring within the food industry and public nutrition programs.
KLASIFIKASI BIJI KOPI MENGGUNAKAN TEKNIK KOMBINASI RANDOM FOREST DAN INCEPTION V3 UNTUK EKSTRAKSI FITUR Rambe, Lima Hartimar; Manza, Yuke; Ashari, Annisa; Negoro, Wahyu Saptha
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.3976

Abstract

Abstract: Coffee bean classification is a crucial step in ensuring the quality and selling value of coffee products. Manual sorting methods are often inefficient and error-prone, necessitating a technology-based automated approach. This study proposes a combination of the Inception V3 architecture as an image feature extraction method and the random forest algorithm as a classifier to distinguish good and defective coffee beans. The dataset used consists of 986 images, divided into training and test data. The processing was carried out using the Orange Data Mining platform, which includes pre-processing, feature extraction, model training, and performance evaluation. The evaluation results show that the model produces an accuracy of 96.4% on the training data and 96.8% on the test data. In addition, other performance metrics such as AUC (1.000), F1-score (0.967), precision (0.968), recall (0.968), and MCC (0.922) strengthen the model's excellent classification performance. Thus, the combined approach of Inception V3 and random forest is proven effective and has the potential to be implemented in a digital image-based coffee bean classification system. Keywords: Coffee Bean Classification, Random Forest, Inception V3, Feature Extraction, Digital Imagery Abstrak: Klasifikasi biji kopi merupakan langkah penting dalam menjamin mutu dan nilai jual produk kopi. Metode manual dalam penyortiran sering kali tidak efisien dan rentan kesalahan, sehingga dibutuhkan pendekatan otomatis berbasis teknologi. Penelitian ini mengusulkan kombinasi arsitektur Inception V3 sebagai metode ekstraksi fitur citra dan algoritma random forest sebagai klasifikator untuk membedakan biji kopi bagus dan rusak. Dataset yang digunakan terdiri dari 986 gambar, terbagi menjadi data latih dan data uji. Proses pengolahan dilakukan menggunakan platform Orange Data Mining, yang meliputi tahap pra-pemrosesan, ekstraksi fitur, pelatihan model, dan evaluasi kinerja. Hasil evaluasi menunjukkan bahwa model menghasilkan akurasi sebesar 96,4% pada data latih dan 96,8% pada data uji. Selain itu, metrik performa lain seperti AUC (1.000), F1-score (0.967), precision (0.968), recall (0.968), dan MCC (0.922) memperkuat bahwa model ini memiliki kinerja klasifikasi yang sangat baik. Dengan demikian, pendekatan kombinasi Inception V3 dan random forest terbukti efektif dan berpotensi diimplementasikan dalam sistem klasifikasi biji kopi berbasis citra digital. Kata kunci: Klasifikasi Biji Kopi, Random Forest, Inception V3, Ekstraksi Fitur, Citra Digital
Co-Authors Ashari, Annisa Azhar, Asbon Hendra Chan, Fajri Rinaldi Halifia Hendri Manza, Yuke Mardison Mardison Ramadhani, Ivo Ramadhanu, Agung Rambe, Lima Hartimar Ratih Adinda Destari, Ratih Adinda Saiful Bukhori Simatupang, Boby Daniel Sumijan Sumijan Yasmin, Nabilla