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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat BAREKENG: Jurnal Ilmu Matematika dan Terapan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal AbdiMas Nusa Mandiri Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Jurnal INFOTEL Jurnal Pengabdian Masyarakat Ilmu Komputer
Rifkie Primartha
Sriwijaya University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Variasi Thresholding untuk Segmentasi Pembuluh Darah Citra Retina Desiani, Anita; Zayanti, Des Alwine; Primartha, Rifkie; Efriliyanti, Filda; Andriani, Nur Avisa Calista
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 7, No 2 (2021): Volume 7 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v7i2.47205

Abstract

Segmentasi pembuluh darah pada retina diperlukan pada deteksi dini penyakit Diabetic Retinopathy pada citra retina. Penelitian ini menggunakan tiga tahapan yaitu pre-processing, segmentasi dan post-processing yang akan membandingkan hasil dari 3 metode segmentasi yang menggunakan nilai Thresholding yaitu Adaptive Thresholding, Binary Thresholding, dan Otsu Thresholding. Hasil pengujian terhadap tiga metode yang digunakan menunjukan bahwa metode Binary Thresholding mendapat rata-rata akurasi, sensitivitas dan spesifisitas tertinggi yaitu 95%, 58%, 98%. Untuk Adaptive Thresholding mendapat rata-rata akurasi sebesar 91%, sensitivitas 36%, spesititiftas 97%. Dan metode Otsu Thresholding mendapatkan rata-rata akurasi 86%, sensitivitas 22%, dan spesifisitas 90%.  Dari hasil ketiga metode ini dapat dilihat akurasi yang dihasilkan oleh metode Thresholding sudah sangat baik dalam melakukan segmentasi citra, tetapi nilai sensitivitas dari masing-masing metode Thresholding masih rendah. Hal ini dapat disimpulkan metode Thresholding masih sulit mendapatkan lebih banyak fitur pembuluh darah pada citra retina.
TEKNOLOGI DIGITAL UNTUK PEMBERDAYAAN EKONOMI MASYARAKAT DESA SUNGAI REBO Novianti, Hardini; Rifai, Ahmad; Primartha, Rifkie; Hardiyanti, Dinna Yunika; Kurniati, Junia
Jurnal Pengabdian Masyarakat Ilmu Komputer Vol. 1 No. 2 (2024): Mei
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpmik.v1i2.655

Abstract

Perkembangan teknologi membantu kita memperoleh informasi dengan cepat. Teknologi membantu manusia mengembangkan kreativitas dalam pemasaran dan penjualan. Pemasaran produk mengalami peningkatan dengan menggunakan teknologi terkini. Manusia menyelesaikan pekerjaan lebih cepat dengan keterlibatan teknologi. Desa Sungai Rebo kabupaten Banyuasin I memiliki banyak UMKM, masalah yang terjadi adalah UMKM di Desa Sungai Rebo kurang berkembang, hal ini dikarenakan UMKM tersebut belum memanfaatkan Teknologi. Untuk membantu menyelesaikan masalah tersebut maka diadakan pelatihan pemanfaatan teknologi digital untuk pemberdayaan ekonomi masyarakat Desa Sungai Rebo. Metode yang dilakukan dalam kegiatan ini adalah pelatihan dan pendampingan dalam membuat iklan secara online, foto produk dan upload produk di Market Place. Adapun hasil dari kegiatan pengabdian kepada masyarakat ini adalah UMKM sudah memahami bagaimana pemanfaatan teknologi dalam memasarkan produk mereka.
Pelatihan Aplikasi Desain Grafis Sebagai Peluang Usaha Ekonomi Produktif (UEP) Bagi Karang Taruna di Desa Limbang Jaya Suprihatin, Bambang; Desiani, Anita; Maiyanti, Sri Indra; Primartha, Rifkie; Salamah, Fitri; Sari, Puspa; Fadilah, Nadiyah
Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2024): November 2024
Publisher : Cipta Media Harmoni

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53624/kontribusi.v5i1.429

Abstract

Latar Belakang: Desa Limbang Jaya, terletak di Kecamatan Tanjung Batu, Kabupaten Ogan Ilir, Sumatera Selatan, memiliki kelompok Karang Taruna yang terdiri dari para pemuda-pemudi. Meskipun kelompok ini produktif dengan banyak kegiatan kepemudaan, mereka belum terorganisir dengan baik. Pandemi COVID-19 selama tiga tahun terakhir menyebabkan kegiatan mereka terhenti, dan banyak pemuda terkena Pemutusan Hubungan Kerja (PHK). Tujuan: Kegiatan ini bertujuan untuk mengetahui efektivitas pelatihan pemanfaatan aplikasi Canva dalam mengembangkan Usaha Ekonomi Produktif (UEP)di kalangan pemuda Karang Taruna Desa Limbang Jaya. Metode: Metode yang digunakan adalah survei kualitatif dan kuantitatif, yang melibatkan tahapan survei, persiapan kegiatan, penyampaian materi, dan evaluasi kegiatan. Hasil: Hasil kegiatan menunjukkan bahwa peserta pelatihan memahami materi tentang pemanfaatan aplikasi Canva dengan baik. Kesimpulan: Pelatihan pemanfaatan aplikasi Canva berhasil meningkatkan pemahaman dan keterampilan peserta dalam bidang desain grafis, yang berpotensi dikembangkan menjadi UEP. Langkah selanjutnya adalah melakukan pelatihan lanjutan dan memperluas cakupan program untuk mencapai dampak yang lebih besar. 
Ensemble Classifier dengan Teknik Weighted Voting untuk Klasifikasi Jamur Beracun Prabudifa, Muhammad Yusuf; Mayangsari, Oki Sukma; Desiani, Anita; Zayanti, Des Alwine; Primartha, Rifkie; Novita, Dien
JATISI Vol 12 No 2 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i2.10168

Abstract

Fungi are heterotrophic organisms that fulfill their needs by utilizing organic matter from other organisms. Mushrooms consist of 3 groups, namely edible mushrooms, poisonous mushrooms, and mushrooms that are not known to be edible or poisonous. The purpose of this research is to find the best algorithm to classify mushroom types appropriately. Mushroom classification can be done through the application of a single classifier including the Gaussian Naive Bayes algorithm, C4.5 and Classification and Regression Trees (CART), which is then compared using an ensemble classifier. Single classifiers have limited performance and are not adaptive to data changes, while the ensemble algorithm with Weighted Soft Voting is able to cover these shortcomings by increasing accuracy and robustness by combining predictions from several models that are weighted based on their respective performance. The Gaussian Naive Bayes, CART and C4.5 algorithms with percentage split testing techniques obtained accuracy results of 63.55%, 97.67% and 97.77% respectively. The results of research using the Ensemble method can increase the accuracy value by combining the three algorithm weights with an accuracy result of 98%. In this case, the Ensemble algorithm obtained the best performance in mushroom classification.
PEMANFAATAN TEKNOLOGI INFORMASI UNTUK DESAIN KEMASAN DAN LABEL SARUNG GEBENG DESA LIMBANG JAYA Amran, Ali; Desiani, Anita; Primartha, Rifkie; Suprihatin, Bambang; Ermatita, Ermatita; Salamah, Fitri
Jurnal AbdiMas Nusa Mandiri Vol. 7 No. 1 (2025): Periode April 2025
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v7i1.6455

Abstract

Gebeng Sarong is a typical woven fabric from Limbang Jaya village, Ogan Ilir Regency, South Sumatra. This craft is increasingly disappearing due to the difficulty of marketing carried out by Limbang Jaya village craftsmen. The packaging and brands used on Gebeng Sarongs are still very simple and unattractive so their marketing is less able to compete with similar products. The lack of creativity of craftsmen in Limbang Jaya is also due to the low level of education of the craftsmen, only elementary or junior high school graduates. In addition, the location of the village is rather remote, causing Gebeng Sarongs to      have limited marketing. To help overcome this problem, the Sriwijaya University team held a training activity for craftsmen to develop their products for a wider market with attractive packaging. The stages of this activity include: problem identification, activity preparation, activity implementation, and activity evaluation. The activities carried out were in the form of training activities for craftsmen on the use of information technology and graphic applications., Training activity materials included an introduction to the Canva application, tutorials on making packaging and packaging designs, and direct practice. Based on the results of the pre-test and post-test it can be concluded that this activity has succeeded in improving the skills of craftsmen in designing aesthetic packaging according to market needs, thereby increasing the appeal of Gebeng Sarong in a wider market. This activity is also expected to help maintain the Gebeng Sarong as the typical fabric of the South Sumatra.
COMBINATION OF KNN AND PARTICLE SWARM OPTIMIZATION (PSO) ON AIR QUALITY PREDICTION Yahdin, Sugandi; Desiani, Anita; Andhini, Shania Putri; Cahyawati, Dian; Primartha, Rifkie; Arhami, Muhammad; Arinda, Ditia Fitri
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (806.774 KB) | DOI: 10.30598/barekengvol16iss1pp007-014

Abstract

The increase in the use of energy sources causes air pollution. The Air Pollutant Index (API) is information about the air quality of a place and at a certain time. API has several parameters, namely SO2, PM10, NO2, O3, and CO. In this study, the KNN method was used to assist categorize air quality. However, all training data were used during the classification process with KNN causes a long prediction process. Another problem with KNN is difficult to determine the optimal value of the K parameter in KNN. The Particle Swarm Optimization (PSO) method can be used for problems on KNN. Therefore, the aim of this study is to predict air quality based on the API by combining the KNN-PSO method. The dataset used is the API dataset for the DKI Jakarta area 2017-2019 totaling 1075 data. The results showed the accuracy for the KNN-PSO method was 98.42% with a precision value of 97.75% and a recall value of 98.13%. To further analyze the results on the combined method, the results of this study were compared with the KNN method only. The results obtained from the KNN method are lower than the KNN-PSO method. So it can be concluded that the KNN-PSO method is great and robust in air quality classification or prediction.
Pembelajaran Ensemble Voting Tertimbang dari Arsitektur CNN untuk Klasifikasi Retinopati Diabetik Desiani, Anita; Primartha, Rifkie; Hanum, Herlina; Dewi, Siti Rusdiana Puspa; Suprihatin, Bambang; Al-Filambany, Muhammad Gibran; Suedarmin, Muhammad
JURNAL INFOTEL Vol 16 No 1 (2024): February 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i1.999

Abstract

Diabetic Retinopathy (DR) is a diabetes disease that attacks the retina of the eye and can be recognized through retinal images. The process of assisting retinal images can be done by applying deep learning-based methods, one of which is the Convolutional Neural Network (CNN). CNN has many architectures that can perform image classification processes, namely ResNet-50, MobileNet, and EfficientNet. Weaknesses of each architecture can be overcome through ensemble learning methods that can add up the performance results of each classification method. The study applies the ensemble learning method to improve the performance of the ResNet-50, MobileNet, and EfficientNet architectures in paying for DR disease on the retina by weighted voting. The data used are the APTOS and EyePACS datasets. The method in this research is data collection, training, testing, and evaluation of each architecture and ensemble learning. The results of the superior ensemble learning performance in the value of accuracy, F1-Score, and Cohens Kappa were obtained respectively 93.3%, 93.42%, and 0.866. The best specificity value was obtained by Resnet-50 at 99.78% and the highest sensitivity value was obtained by EfficientNet at 96.2%. Based on the classification results of each architectural and ensemble learning, it can be interpreted that the proposed ensemble learning method is excellent to perform image classification for Diabetic Retinopathy.
Pemanfaatan Limbah Kain Songket Desa Limbang sebagai Produk Bernilai Ekonomi Suprihatin, Bambang; Maiyanti, Sri Indra; Primartha, Rifkie; Amran, Ali; Desiani, Anita; Sari, Puspa
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 9 No 4 (2025): November
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aks.v9i4.26346

Abstract

Desa Limbang Jaya merupakan desa pengerajin kain songket di Sumatera Selatan. Mayoritas perempuan di desa ini bekerja sebagai pengerajin songket. Seorang pengerajin di Desa Limbang Jaya dapat menenun 3 hingga 4 helai kain berukuran 50-80 cm setiap bulannya. Setiap kain melalui proses pemotongan yang menyisakan berupa potongan kecil kain. Limbah songket biasanya dibuang atau dibakar, padahal limbah ini dapat diolah menjadi produk kerajinan yang memiliki nilai jual dengan menggunakan teknik menjahit seperti patchwork dan quilting. Kegiatan yang dilakukan berupa pelatihan dalam pengolahan limbah kain songket dengan menerapkan teknik patchwork dan quilting untuk menghasilkan produk dengan nilai jual. Kegiatan ini ditujukan pada penduduk perempuan khususnya pengrajin songket untuk meningkatkan keterampilan dalam mengolah limbah kain songket. Kegiatan pengolahan limbah sampah di desa Limbang Jaya belum pernah dilakukan. Tahapan kegiatan ini terdiri dari observasi, persiapan kegiatan, penyampaian materi, pelatihan, pendampingan, dan evaluasi. Kegiatan ini berhasil meningkatkan secara signifikan pemahaman dan keterampilan praktis peserta, yang diindikasikan oleh kenaikan nilai rata-rata post-test sebesar 38% dan dihasilkannya produk prototipe yang memiliki nilai jual. Hal ini mengindikasikan peningkatan pemahaman dan keterampilan peserta dalam pengolahan limbah kain songket dengan menerapkan teknik patchwork dan quilting yang menandakan keberhasilan dari kegiatan ini. Kegiatan ini dapat mendorong pembentukan usaha kreatif berbasis limbang songet yang dapat meningkatkan perekonomian masyarakat di Desa Limbang Jaya dalam jangka panjang.
Co-Authors Aditya Rubinurwan, Aditya Ahmad Rifai Al-Filambany, Muhammad Gibran Ali Amran Andhini, Shania Putri Andriani, Nur Avisa Calista Anita Desiani Arhami, Muhammad Bambang Suprihatin Des Alwine Zayanti, Des Alwine Dian Cahyawati Dien Novita Dinna Yunika Hardiyanti Efriliyanti, Filda Ermatita - Fadilah, Nadiyah Hardini Novianti Herlina Hanum, Herlina Junia Kurniati, Junia Mayangsari, Oki Sukma Prabudifa, Muhammad Yusuf Puspa Sari, Puspa Reza Firsandaya Malik Salamah, Fitri Siti Rusdiana Puspa Dewi Sri Indra Maiyanti Suedarmin, Muhammad Sugandi Yahdin