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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. Evaluation result (E) shows the ratio between the average distance of OD centre point obtained by proposed method and that of the ground truth divided by average difference between OD diameter by proposed method and that of the ground truth. The lesser the value of E the better the performance of the method in detecting OD centre point and determining the OD diameter. Therefore, these results indicate successful implementation of automated OD localisation by detecting OD centre point and determining OD diameter in healthy and glaucoma images. Moreover, this scheme has a potential to be implemented in the development of a computerised glaucoma diagnosis system.

INTISARIPada naskah ini akan dilakukan analisis nilai tegangan dan arus pada Alat Kontrol Intensitas Lampu Jalan Otomatis Tenaga Surya. Data tersebut diperoleh dari hasil pengujian alat terssebut dengan waktu/jam yang berbeda-beda untuk mengetahui efektivitas cahaya matahari dalam mengisi daya solar panel. Alat tersebut dibuat agar hemat energi dan sebagai energi alternatif. Sumber utama dari penerangan ini adalah dari energi matahari yang dikonversi oleh panel surya menjadi listrik, dan baterai atau aki berfungsi sebagai penyimpan energi listrik yang akan menyalakan lampu pada malam hari. Oleh sebab itu, apabila listrik PLN mengalami gangguan atau mati listrik maka penerangan jalan ini tidak terpengaruh.Dari alat di atas, diperoleh hasil pengujian untuk variable tegangan arus. Selanjutnya akan dianalisis pengaruh waktu/jam terhadap pengambilan data nilai tegangan dan arus. Pada data waktu pengisian panel surya, rata-rata tegangan dari solar cell sama yaitu 19,54 volt dan median (nilai tengah) sebesar 20 volt serta nilai rerata arus sebesar 0,81 A dan median sebesar 0,8 A. Semakin siang maka arus yang masuk ke baterai semakin besar karena energi dari sinar matahari berada pada puncaknya yaitu pada jam 11:00 sampai 13:00, kemudian semakin sore maka arus yang masuk semakin kecil karena sinar matahari yang diterima solar cell sudah tidak optimal.Kata kunci— solar panel, tegangan, arus, energi matahari ABSTRACTIn this paper, an analysis of the value of voltage and current will be carried out on the Intensity Control Tool for Automatic Solar Street Lights. The data was obtained from the results of testing the tool with different times/hours to determine the effectiveness of sunlight in charging solar panels. The tool is made to save energy and as an alternative energy. The main source of this lighting is from solar energy which is converted by solar panels into electricity, and the battery or battery serves as a store of electrical energy that will turn on the lights at night. Therefore, if the PLN electricity is interrupted or there is a power failure, the street lighting will not be affected.From the above tool, the test results are obtained for the current voltage variable. Furthermore, it will be analyzed the effect of time/hour on data retrieval of voltage and current values. In the solar panel charging time data, the average voltage from the solar cell is the same, namely 19.54 volts and the median (middle value) is 20 volts and the average current value is 0.81 A and the median is 0.8 A. The amount that goes into the battery is getting bigger because the energy from sunlight is at its peak at 11:00 to 13:00, then later in the afternoon, the incoming current gets smaller because the sunlight received by the solar cell is not optimal.Kata kunci—  solar panels, voltage, current, solar energy

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Lung cancers were ranked 6th in malignant neoplasms diseases. Lung cancer detections can be performed based on the X-Rays photograph. Doctors are still relying on visual observations in reading the results of X-Rays making the results are very subjective. Hence, a method for the X-rays images quality enhancement is desirable. In this paper, the proposed method is based on median filter and contrast limited adaptive histogram equalization. Median filter aims at the noise removal, as the result of the image digitalization. On the other hand, contrast limited adaptive histogram equalization is used to enhance the acquired image’s contrast. The quality of the processed image is measured qualitatively and quantitatively. The qualitative measurement is conducted through a visual comparison on the input and the output images. On the other hand, the contrast values of the input and the output images are measured and compared for the quantitative measure purpose.Keywords: Lung Cancer, X-Rays, Image Quality Enhancement, Median Filter, Adaptive Histogram Equalization. INTISARIKanker paru menduduki peringkat keenam penyakit neoplasma ganas. Salah satu pendeteksian kanker paru dilakukan berdasarkan foto rontgen. Dokter masih mengandalkan pengamatan visual dalam pembacaan foto rontgen sehingga hasilnya sangat subjektif. Untuk itu, diperlukan dilakukannya peningkatan kualitas citra foto rontgen sebagai media deteksi kanker paru. Metode yang digunakan sebagai peningkatan kualitas citra tersebut berbasis tapis median dan ekualisasi histogram adaptif. Tapis tersebut digunakan untuk mengurangi derau-derau hasil proses digitalisasi dari citra rontgen, sedangkan ekualisasi histogram adaptif diaplikasikan guna meningkatkan kontras dari citra yang diperoleh. Penilaian kualitas citra hasil pemrosesan dilakukan baik secara kualitatif maupun kuantitatif. Penilaian kualitatif dilakukan dengan cara membandingkan secara visual citra masukan dan citra hasil pemrosesan. Di lain sisi, penilaian kuantitatif dilakukan dengan cara membandingkan nilai kontras citra masukan dan citra hasil pemrosesan.Kata Kunci: Kanker Paru, Foto Rontgen, Peningkatan Kualitas Citra, Tapis median, Ekualisasi Histogram Adaptif.

Pemerintah daerah Kulonprogo memberdayakan potensi alam sebagai modal pembangunan dan pengembangan daerah. potensi wisata merupakan salah satu  faktor pendukung dalam peningkatan lapangan pekerjaan, peningkatan pendapatan, dan perkembangan usaha kecil. Wilayah yang memiliki potensi wisata yang cukup besar salah satunya adalah Propinsi Daerah Istimewa Yogyakarta.Salah satu wilayah yang memiliki potensi wisata, yaitu wisata Watu Tekek di daerah Kabupaten Kulonprogo. Permasalahan yang timbul adanya keterbatasan energi listrik dalam memenuhi kebutuhan energi dikawasan wisata Watu Tekek dikarenakan lokasi wisata yang cukup curam dan medan yang terjal, belum adanya penataan dan pengembangan kawasan wisata Watu Tekek dan masih terbatasnya amenitas/fasilitas pendukung dan sarana prasarana dikawasan wisata Watu Tekek. Dengan program kemitraan masyarakat (PKM) dana hibah dari Kemenristekdikti  memberikan solusi dari permasalahan tersebut dengan memenuhi kebutuhan energi listrik dengan menggunakan tenaga matahari berupa lampu penerangan, lampu hias, dan air mancur. Sedangkan untuk penambahan fasilitas pariwisata berupa penambahan gazebo, kursi taman , penambahan ornament tanah liat dan penataan taman.Metode kegiatan yang dilakukan dengan melaksanakan diskusi dan observasi, sosialisasi dan penyuluhan, melaksanakan pelatihan, perancangan alat dan pemasangan alat. Hasil luaran dari kegiatan ini berupa produk teknologi tepat guna berupa lampu bertenaga solar panel, produk gerabah, kursi, dan gazebo untuk penambahan fasilitas pedukung, dan memberikan informasi kepada masyarakat luas melalui media massa.

Application of self-organizing mapping as anemia detection using an image of red blood cellsBackground: Anemia is a nutritional problem characterized by changes in blood cell size, especially in microcytic or macrocytic anemia. Iron deficiency anemia is included in hypochromic microcytic anemia because it has a smaller than normal size red blood cell and has a lower than normal hemoglobin (Hb) arising from reduced supply of iron for erythropoiesis (cell maturation process red blood). Analysis based on red blood cell image is a tool to detect anemia using technology applications. Self-organizing mapping (SOM) is one of the artificial neural networks by dividing the input pattern into several groups, so the network output is in the form of groups that are most similar to the input.Objective: To measure the accuracy of SOM for detecting the size of red blood cells in anemia condition.Methods: The type of research was an observational laboratory. The study was conducted at the Electrobiomedical Laboratory of Universitas Respati Yogyakarta from January to August 2018. The sample consisted of anemia and non-anemia red blood cells which had been tested in a laboratory of 92 blood preparations. Stage of measuring red blood cells consisted of pre-processing (cropping, gray scaling, contrast enhancement, and screening), segmentation, feature extraction, and image identification with SOM. The image identification results were concluded by calculating the accuracy of the anemia detection system based on laboratory examination results.Results: The characteristic that distinguishes anemia and non-anemia was in the size of red blood cells. Anemic red blood cells had different pixel intensities than non-anemic red blood cells. The image of non-anemia red blood cells had a full round or oval image. From as many as 92 detections of blood images, five blood images were not by the target results of laboratory tests. The accuracy achieved by the system was 94.57%.Conclusions: The accuracy value of anemia detection using SOM can be used to identify the type of anemia based on red blood cell size.