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All Journal Jurnal Informatika Jurnal ULTIMA Computing ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURIKOM (Jurnal Riset Komputer) Amalgamasi: Journal of Mathematics and Applications
Chicha Rizka Gunawan
Universitas Samudra
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mathematics Physics

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MENDETEKSI KEAKURATAN METODE NOISE SALT AND PEPPER DENGAN MEDIAN FILTER Nurul Fadillah; Chicha Rizka Gunawan
Jurnal Informatika Vol 6, No 1 (2019): April 2019
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (659.761 KB) | DOI: 10.31294/ji.v6i1.5439

Abstract

AbstractSuatu data atau informasi disajikan tidak hanya berupa data teks tetapi juga dapat berupa audio, video, dan gambar. Pada zaman sekarang, informasi sangatlah penting dan diperlukan, begitu juga informasi yang terdapat pada citra. Citra (image) atau istilah lain untuk gambar merupakan salah satu komponen multimedia yang berperan penting sebagai bentuk informasi visual. Dibandingkan dengan data teks, citra memiliki banyak informasi. Namun terkadang citra juga dapat mengalami penurunan yaitu degradasi atau penurunan kualitas yang disebabkan oleh derau / noise, warna terlalu kontras, kabur, dan lain-lain. Ada beberapa jenis noise dalam pengolahan citra salah satunya yaitu salt & pepper noise. Noise salt & pepper berbentuk seperti bintik hitam dan putih pada citra. Untuk mengurangi noise dibutuhkan suatu metode, salah satunya yaitu median filter. Pada makalah ini, citra yang bernoise salt and pepper, setelah direduksi menggunakan median filter, gambar yang bernoise tersebut langsung menjadi sebuah citra yang bersih yaitu citra yang dihasilkan sesuai dengan gambar aslinya. 
Monitoring System For Decorative Plants Using Arduino Nano Microcontroller Rizky Fitria Haya; Chicha Rizka Gunawan; Fazri Amir
Ultima Computing : Jurnal Sistem Komputer Vol 12 No 2 (2020): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v12i2.1742

Abstract

Ornamental plants are used to decorate the room or the yard. In the current technology era where everyone has a high level of activity, it sometimes makes them forgot to pay attention to the ornamental plants in their homes. Therefore, the purpose of establishing this plants monitoring system is to determine the condition of the plant by displaying smile and sad face images on the LCD. This system uses a microcontroller likes Arduino Nano as the main controller and connected to other sensors such as the LDR sensor, soil moisture, and DHT11. The results of this study indicate that the ornamental plant is in good condition if it displays happy face, that is when the results of the lighting, soil moisture, and temperature are obtained accordance the values set in the program. Otherwise, if the system displays a sad face, it shows that the condition of the ornamental plants is not good because of the lack of lighting, soil moisture, and low temperatures received by the ornamental plants. The values set on the soil moisture and lighting sensor are in the range of 50% to 95%, while the values set on the temperature sensor are in the range of 15°C to 35°C.
Segmentasi Citra Ct Scan Paru-Paru Dengan Menggunakan Metode Active Contour Nurul Fadillah; Chicha Rizka Gunawan
JURIKOM (Jurnal Riset Komputer) Vol 6, No 2 (2019): April 2019
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (206.556 KB) | DOI: 10.30865/jurikom.v6i2.1166

Abstract

The lungs are one of the important organs in the human body. Because the lungs are one of the holders of control in the circulatory system in the human body. According to some internal medicine specialists, the lungs are the most vulnerable internal organs to damage, this is due to lung function that comes in direct contact with the outside environment such as inhaled cigarette smoke, vehicle fumes, or is allergic to something. So that the lungs are hollow and eroded. Therefore detection of human lungs is needed. To find out damage to the lungs, a CT scan image process is needed. In CT-Scan images there is information that is used to analyze and know the shape of an object from the lung itself. To obtain this information, it is necessary to do a segmentation process. In this study using the Active Contour method. Active Contour is a segmentation method that is often used because this method uses a closed curve model that can move wide or narrow. The purpose of this study was to segment the lungs on CT-Scan images by using the active contour method to determine the value of the area and perimeter of the lung section that was good and to find the accuracy value of the method used for a CT-Scan image. The results of lung segmentation were carried out a system trial carried out on 15 CT-Scan image data obtained an average accuracy of 80%
Penerapan Algoritma Naive Bayes untuk Klasifikasi Penduduk Miskin dan Mampu di Desa Tanoh Anou Kecamatan Idi Rayeuk Gunawan, Chichi Rizka; Gunawan, Chicha Rizka; Akram, Rizalul; Novianda, Novianda; Khairiana, Khairiana
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 9, No 1 (2025): April 2025
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v9i1.23843

Abstract

Palm oil is a strategic commodity that plays an important role in the economy of Aceh Province. This study aims to analyze the trend of changes in the area of oil palm plantations and their production results using quantitative data from recent years, as well as to predict palm oil production for the next five years. The methods used include descriptive statistical analysis to identify development patterns and predictive models based on time series forecasting to accurately estimate future trends. The results of the study show a significant increase in the area of land and oil palm production in several main districts, with Nagan Raya as the largest contributor. The prediction of harvest results for the next five years indicates a positive trend that can be used as a basis for planning the development of the plantation sector. These findings provide important information for policy makers and industry players in making strategic decisions to increase the productivity and sustainability of the oil palm business in Aceh Province. Keywords: Palm Oil Production, Area Analysis, Prediction Model
Deteksi Penyakit Mata Menggunakan Algoritma Region Growing Gunawan, Chicha Rizka; Bengi, Mahara; Gunawan, Chichi Rizka; Fadhilla, Cut Alna
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 9, No 2 (2025): November 2025
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v9i2.27908

Abstract

Medical image processing is a data manipulation process aimed at producing new images with improved quality. The primary objective of medical image processing is to obtain information, perform screening procedures, and support disease diagnosis, one of which is eye diseases. Nodules, as one of the indications of eye diseases, are generally analyzed visually by physicians. This study develops an algorithm to detect nodules in eye CT scan images based on the morphological characteristics of nodules, which are generally circular in shape. The experimental results show that the nodule area can be calculated based on the number of pixels forming the nodule region. In several image slices, the nodule area cannot be detected due to the condition where the nodule is attached to other parts of the eye. The developed algorithm is capable of detecting nodules in multiple eye CT scan slices and calculating the nodule area in each image slice. Therefore, the proposed nodule detection algorithm is expected to assist physicians in diagnosing eye diseases more accurately and objectively. Keywords: Detection, Region Growing, Eye Disease, Medical Image Processing, Nodule
Sistem Pakar: Identifikasi Kerusakan Menggunakan Metode Backward Chaining Gunawan, Chicha Rizka; Apriani, Wiwin; Maulana, Taufiq; Nurhayati
Amalgamasi: Journal of Mathematics and Applications Vol. 4 No. 2 (2025): Amalgamasi: Journal of Mathematics and Applications
Publisher : Universitas Pasifik Morotai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55098/amalgamasi.v4.i2.pp71-77

Abstract

Sistem pakar merupakan salah satu penerapan kecerdasan buatan yang bertujuan meniru kemampuan seorang pakar dalam menganalisis dan memecahkan masalah tertentu. Penelitian ini bertujuan untuk membangun sistem pakar berbasis desktop guna membantu pengguna dalam mengidentifikasi jenis kerusakan pada komputer secara cepat dan akurat. Metode yang digunakan adalah Backward Chaining, yaitu proses penalaran yang dimulai dari hipotesis (kerusakan) menuju ke fakta-fakta (gejala) yang mendukung. Sistem dirancang menggunakan bahasa pemrograman Python dan antarmuka berbasis PyQt5. Berdasarkan hasil pengujian terhadap 30 kasus kerusakan, sistem memiliki tingkat akurasi 90%. Sistem ini diharapkan dapat menjadi alat bantu bagi teknisi dan pengguna dalam mendeteksi permasalahan komputer tanpa harus    langsung membuka perangkat keras.
Co-Authors Akram, Rizalul Apriani, Wiwin Bengi, Mahara Fadhilla, Cut Alna Fazri Amir Gunawan, Chichi Rizka Khairiana, Khairiana Novianda, Novianda Nurhayati Nurul Fadillah Rizky Fitria Haya Taufiq Maulana