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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Annual Research Seminar Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Indonesian Journal of Electrical Engineering and Computer Science BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Generic
Erwin, Erwin
Universitas Sriwijaya
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Dentistry Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Enhancement Citra Fundus Retina Menggunakan CLAHE dan Wiener Filter Erwin Erwin; Ghiena Rifka Utami; Reny Pamela Sari; Alya Nathasya Harison
Annual Research Seminar (ARS) Vol 4, No 1 (2018): ARS 2018
Publisher : Annual Research Seminar (ARS)

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Abstract

Penggunaan gambar fundus retina dalam pendeteksian dan diagnosis awal kelainan atau penyakit pada retina seperti penyakit Diabetic Retinopaty (DR), penyakit kardiovaskular dan penyakit lainnya sekarang ini telah menjadi salah satu bidang yang menarik perhatian bagi para peneliti dan dokter. Tetapi gambar fundus tersebut kadang-kadang memiliki kualitas yang buruk seperti terdapat noise di dalamnya, pencahayaan yang tidak merata serta memiliki kontras yang rendah. Dalam paper ini kami mengusulkan metode untuk meningkatkan kontras dan kualitas gambar fundus serta peningkatan nilai PSNR dari gambar fundus retina asli dengan menggunakan Fast Local Laplacian Filter, Morphology Top-hat Filter, CLAHE dan Wiener Filter. 
Segmentation and Classification Models Validation Area Mapping of Peat Lands as Initial Value of Fuzzy Kohonen Clustering Network Erwin Erwin; Saparudin Saparudin; Muhammad Fachrurrozi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 3: EECSI 2016
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (745.773 KB) | DOI: 10.11591/eecsi.v3.1141

Abstract

Ogan Komering Ilir (OKI) is located at the eastern of South Sumatra Province, 2030'-4015' latitude and 104020'-106000' longitude. Digital image of land was captured from Landsat 8 satellite path 124/row 062. Landsat 8 is new generation satellite which has two sensors, Operation Land Manager (OLI) and Thermal Infra-Red Sensor (TIRS). In pre-processing step, there are a geometric correction, radiometric correction, and cropping of the digital images which resulting coordinated geography. Classification uses maximum likelihood estimator algorithm. In segmentation process and classification, grey value spread is into evenly after applying histogram technique. The results of entropy value are7.42 which is the highest of result image classification, then the smallest entropy value in the result of correction mapping are 6.39. The three of them prove that they have enough high entropy value. Then the result of peatlands classification is given overall accuracy value = = 94.0012% and overall kappa value = 0.9230 so the result of classification can be considered to be right.
Analisis Market Basket Dengan Algoritma Apriori dan FP-Growth Erwin Erwin
Generic Vol 4 No 2 (2009): Vol 4, No 2 (2009)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

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Abstract

Algoritma yang umum digunakan dalam proses pencarian frequent itemsets (data yang paling sering muncul) adalah Apriori. Tetapi algoritma Apriori memiliki kekurangan yaitu membutuhkan waktu yang lama dalam proses pencarian frequent itemsets. Untuk mengatasi hal tersebut maka digunakanlah algoritma FP-Growth. Dalam makalah ini akan dibahas penerapan Apriori dan FP-Growth dalam proses pencarian frequent itemsets. Penggunaan FP-Tree yang digunakan bersamaan dengan algoritma FP-growth untuk menentukan frequent itemset dari sebuah database, berbeda dengan paradigma Apriori yang memerlukan langkah candidate generation, yaitu dengan melakukan scanning database secara berulang-ulang untuk menentukan frequent itemset. Makalah ini juga menyajikan pembahasan mengenai perbandingan kompleksitas waktu antara algoritma FP-growth dengan Apriori dan hasil dari perbandingan algoritma tersebut.
The Application of Text Compression to Short Message Service Using Huffman Table Ahmad Affandi; Saparudin Saparudin; Erwin Erwin
Generic Vol 6 No 1 (2011): Vol 6, No 1 (2011)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

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Abstract

Short Message Service (SMS) is a way of sending short messages in a quick and relatively cheap price. However, besides easiness provided, these SMSs limit the number of characters that can be sent by users. A message sent via SMS, has a maximum capacity of 140 bytes. This causes a person who wants to send a message long enough, consists of a number of characters will have difficulty. Although it is delivered, the message must be assembled into a number of SMS based on maximum capacity. Several ways can be performed to overcome this, one of them by doing compression. By using Huffman table an application text compression on SMS is made in order to compress and decompress when sending and receiving message. This application is made by J2ME and will run on mobile phones based on MIDP 2.0. The results of this study SMS text compression application with Huffman table overall is able to perform the compression process of an SMS text with an average compression ratio of 28.73%.
Pemanfaatan aplikasi daring untuk peningkatan pemasaran songket dan purun perajin Burai Sri Indra Maiyanti; Anita Desiani; Sugandi Yahdin; Erwin Erwin; Desty Rodiah; Muhammad Naufal Rachmatullah; Dite Geovanni; Muhammad Akmal Shidqi; Muhammad Gibran Al-Filambany
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 5, No 2 (2022): Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v5i2.14356

Abstract

An adaptable sentence segmentation based on Indonesian rules Johannes Petrus; Ermatita Ermatita; Sukemi Sukemi; Erwin Erwin
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i3.pp1491-1499

Abstract

Sentence segmentation that breaks textual data strings into individual sentences is an important phase in natural language processing (NLP). Each word in the string that is added a punctuation mark such as a period, question mark, or exclamation point, becomes the location for splitting the string. Humans can easily see the punctuation and split the string into sentences, but not machines. Basically, the three punctuation marks also perform other functions so that the sentence segmentation process must really be able to detect whether a word marked with punctuation is a sentence boundary or not. This research proposes a sentence segmentation system called segmentasi kalimat bahasa Indonesia (SKBI) or Indonesian language sentence segmentation by applying a set of rules and can be used in Indonesian texts and can be adapted for English. There are 34 rules built with a combination of 27 fairly complete features that contribute to this research. The experimental results for the Indonesian text show that the SKBI is able to achieve an F1-Score of 96.89% and 97.07% for English. Both need to be improved but now better than previous research.
Multilabel sentiment analysis for classification of the spread of COVID-19 in Indonesia using machine learning Fathoni Fathoni; Erwin Erwin; Abdiansah Abdiansah
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 2: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i2.pp968-978

Abstract

This study aims to use datasets on Twitter to find out public opinion on the spread of coronavirus in Indonesia by conducting sentiment analysis. The resulting sentiment analysis will benefit the community by helping the Indonesian government take various strategic measures to prevent and counter the spread of the COVID-19. This research was conducted through the data collection stage, namely crawling data tweet words in Bahasa Indonesia containing the meaning of the spread of COVID-19, the next stage of the process of creating labels manually. Next, the pre-process stage by removing the character, symbols and special features from Twitter. The last stage, classification using learning machine with 3(three) methods namely K-nearest neighbor (K-NN), Naïve Bayes and decision tree. The study analyzed sentiment of 1,119 valid Tweets data and found that K-NN algorithm had the highest accuracy value compared to Naïve Bayes and decision tree algorithms, which was 95.10%. However, the Twitter data analyzed obtained 78.19% of Tweets that fall into the negative category and only 13.85% of public opinion that is positive. This indicates that most of the Tweets of Indonesians in twitter do not mean the spread of COVID-19 disease somewhere.
APLIKASI DESAIN GRAFIS UNTUK PENGEMBANGAN KONTEN PROMOSI PRODUKSI PENGRAJIN ANYAMAN PURUN DESA BURAI Anita Desiani; Erwin Erwin; Yuli Andriani; Sri Indra Maiyanti; Adi Muzakir; Ananda Pratiwi; Andika Cristian Lubis; Puspa Sari
Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Vol 10 No 3 (2023): September
Publisher : Lembaga Penelitian, Penerbitan dan Pengabdian Masyarakat (LP3M) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/ppkm.v10i3.4553

Abstract

Burai Village is located in Tanjung Batu District, Ogan Ilir Regency, South Sumatra has woven purun crafts as its characteristic. Burai Village women make handicrafts made from purun in a manual way to fill their free time. The results of woven purun in Burai Village are usually sold directly or by receiving requests from people who visit Burai Village so that the woven purun made from Burai Village is only known by those who are and visit in the area. This marketing limitation is caused by the lack of public knowledge related to marketing strategies and technological knowledge in marketing the products sold. It is necessary to empower purun woven craftsmen through the use of graphic design applications to increase marketing and buying and selling of purun chicken in Burai Village. The stages in this activity are surveys, preparation of activities, delivery of materials and evaluation of activities. After the implementation of this activity, the participants have sufficiently understood how to use the application which can be seen from the increase in the results of the pre-test and post-test knowledge scores that the participants have done. And it is also expected to be implemented on a sustainable scale.
Pemberdayaan Ekonomi Perempuan Desa Limbang Jaya Melalui Pemanfatan Limbah Kain Songket Anita Desiani; Bambang Suprihatin; Erwin Erwin; Ali Amran; Dina Suzzete Sitorus; Faishal Fitra Ramadhan; Rifki Kurniawan
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v5i2.7455

Abstract

Limbang Jaya adalah desa yang terletak di Tanjung Batu, Kabupaten Ogan Ilir, Sumatera Selatan. Penduduk laki-laki mayoritas berprofesi sebagai pandai besi, sedangkan perempuan mayoritas berprofesi sebagai pengrajin kain songket. Seorang perajin dapat menghasilkan 3-4 lembar kain songket setiap bulannya. Pengrajin songket di Limbang Jaya sebagian besar berprofesi sebagai buruh bukan sebagai pemilik usaha kerajinan songket. Mereka hanya menerima upah untuk setiap pembuatan kain songket yang selesai dibuat. Hasil kain songket sekitar 50-70 cm. Pemotongan songket menyisakan limbah potongan-potongan kecil dari songket tersebut. Kegiatan pengabdian ini memberikan panduan dan pelatihan secara langsung mengenai teknik tambal sulam dan quilting. Teknik tambal sulam dan quilting dapat digunakan untuk memanfaatkan sisa limbah kain songket menjadi produk yang bernilai jual. Tahapan kegiatan dalam tulisan ini yang dilakukan adalah survei, persiapan kegiatan, penyampaian materi, dan evaluasi kegiatan. Setelah melaksanakan kegiatan ini para peserta sudah memahami bagaimana mengaplikasikan teknik tambal sulam dan quilting pada kain songket sisa sehingga dapat menjadi sebuah produk baru yang mempunyai nilai jual. Diharapkan kegiatan ini dapat menjadi alternatif pendapatan bagi masyarakat Limbang Jaya sehingga kesejahteraannya dapat meningkat.
Co-Authors Abdiansah, Abdiansah Adi Muzakir Ahmad Affandi Ahmad Fali Oklilas Ahmad Heryanto Ali Amran Alya Nathasya Harison Ananda Pratiwi Anatasya Sembiring Andika Cristian Lubis Anita Desiani Auzan Lazuardi Bambang Suprihatin Clara Fin Badillah Dea Sella Noviyanti Deris Stiawan Desty Rodiah Dina Suzzete Sitorus Dite Geovanni Dwi Sinta Ermatita - Faishal Fitra Ramadhan Fathoni - Ghiena Rifka Utami Indah Kurnia Larasati Johannes Petrus Junia Erlina Kms. M. Shofuan Khoiri Laras Azrisa Nurjanah M Ilham Al Bukhory M. Fachrurrozi . Muhammad Akmal Shidqi Muhammad Gibran Al-Filambany Muhammad Naufal Rachmatullah Noviara Sindi Pratiwi Puspa Sari Reny Pamela Sari Reza Firsandaya Malik Reza Reza Rifki Kurniawan Rossi Passarella Saparudin Saparudin Saparudin, Saparudin Sarmayanta Sembiring Sri Indra Maiyanti Sugandi Yahdin Sukemi Sukemi Sutarno Sutarno Syafitri Syafitri Tomi Kiyatmoko Wulandari Saputri Yeni Laraswati Yoga Yuniadi Yuli Andriani Yurika Yurika