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All Journal Jurnal Media Infotama Bulletin of Electrical Engineering and Informatics Jurnal Pseudocode Jurnal Informatika Upgris Sistemasi: Jurnal Sistem Informasi INTECOMS: Journal of Information Technology and Computer Science Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JSAI (Journal Scientific and Applied Informatics) Journal of Technopreneurship and Information System (JTIS) Just TI (Jurnal Sains Terapan Teknologi Informasi) Jurnal Abdimas Serawai Jurnal Komputer, Informasi dan Teknologi Jurnal Sistem Informasi Dan E-Bisnis Jurnal Ilmu Komputer Dan Informatika JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) JCOSIS (Journal Computer Science and Information Systems)
Putra, Erwin Dwika
Program Studi Teknik Informatika, Fakultas Teknik, Universitas Muhammadiyah Bengkulu
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences

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Identifikasi Text Meteran Air Menggunakan Metode Run-Length Smearing Algorithm (Rlsa) Erwin Dwika Putra; Marissa Utami; Muhammad Husni Rifqo
JUKOMIKA (Jurnal Ilmu Komputer dan Informatika) Vol 4, No 2 (2021): Desember
Publisher : JUKOMIKA (Jurnal Ilmu Komputer dan Informatika)

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Abstract

Proses pencataan yang dilakukan oleh petugas perusahaan air minum masih manual yaitu menggunakan pencatatan dengn menggunakan sebuah buku, sehingga mengakibatkan proses pencatatan meter membutuhkan waktu yang lama. Sistem pembacaan manual masih diterapkan dalam proses pembacaan pemakaian air pelanggan. Hal ini menyebabkan proses yang terjadi memakan banyak waktu. Keluhan-keluhan konsumen pun meningkat dengan ditemukannya beberapa petu-gas pencatat yang melakukan kesalahan dalam proses pencatatan. Solusi yang dapat dilakukan untuk dapat mengatasi masalah pencatatan angka pemakaian pelanggan adalah dengan membuat aplikasi untuk membaca angka pemakaian pelanggan pada meteran air. Salah satu cara yang dapat dilakukan un-tuk mengenali karakter adalah dengan Optical Character Recognition (OCR). Identifikasi Angka Meter Air Dengan Metode Run-Length Smearing Algorithm ber-hasil penulis bangun dan Metode RLSA dapat mengenali pola karakter angka pada citra Angka Meter Air, dan berdasarkan tingkat pengukuran dari hasil penenlitian yang dilakukan yaitu menunjukkan tingkat keberhasilan identifikasi Anka meteran air yaitu 83%.
Terapan Teknik Pengolahan Citra Digital Mean Filtering dan Edge Detection (Canny) Pada Deteksi Objek Dalam Air Sandhy Fernandez; Erwin Dwika Putra; Firdianti Sukemi
JUKOMIKA (Jurnal Ilmu Komputer dan Informatika) Vol 2, No 1 (2019): Jukomika Februari 2019
Publisher : JUKOMIKA (Jurnal Ilmu Komputer dan Informatika)

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Abstract

Abstrak—. Penelitian didalam air saat ini sangat mendapatkan perhatian terhadap dunia akademik, salah satunya penelitian pengolahan citra didalam air. Karena dalam pengaplikasiannya penelitian ilmiah yang menggunakan kamera bawah air sangatlah banyak, seperti penelitian memantau kehidupan bawah laut, menilai lingkungan geologi dan mendeteksi sebuah objek yang ada pada permukaan air. Permasalahan yang dihadapi pada pengolahan citra bawah air adalah terjadinya banyak noise, seperti pencahayaan, riak air (ombak air), kekeruhan air (Xie, 2012). Dimana pada penelitian ini akan diambil gambar dengan kamera posisi diatas permukaan dengan ketentuan pengambilan jarak air 80cm dan 20 cm. Proses deteksi dengan metode Citra Digital Mean Filtering dan Edge Detection (Canny) sudah dilakukan dari kedalaman air 5cm, 10cm dan 15cm dengan kondisi air tenang, bergelombang dan riak dari keseluruhan hasil deteksi menunjukan False positif  yang tidak tepat menujukan adanya objek , hal ini dapat disimpulkan bahwa Mean Filtering dan Edge Detection (Canny) tidak dapat mendeteksi objek dalam air . Abstract—. Research in the water currently get attention to the academic world, one research image processing in water. Because in the application of scientific research that uses underwater camera is very much, such as the research monitor underwater life, assess environmental geology and detect an object on the surface of the water. Per-researches issues faced on the underwater image processing is the occurrence of a lot of noise, such as lighting, water ripple (water waves), the turbidity of the water (Xie, 2012). Where on this research will in-take a picture with the camera position above the surface with water 80 cm distance retrieval terms and 20 cm. process of detection method of Digital Image Mean Filtering and Edge Detection (Canny) was done from a water depth 5 cm, 10 cm and 15 cm with the calm water conditions, the air-waves and ripples from the overall results showed a False positive detection is not appropriately demonstrating the existence of an object, it can be inferred that the Mean Filtering and Edge Detection (Canny) cannot detect objects in the water. Keywords— underwater life, Canny, Mean, Edge Detection
Klasifikasi Penyebaran Covid-19 Menggunakan Algoritma C4.5 Kota Pagar Alam Rega Satya Putra; Erwin Dwika Putra; M. Husni Rifqo; Harry Witriyono
JUKOMIKA (Jurnal Ilmu Komputer dan Informatika) Vol 4, No 1 (2021): Juni
Publisher : JUKOMIKA (Jurnal Ilmu Komputer dan Informatika)

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Abstract

Allof countriesinthe world,includingIndonesia faced the Covid-19 pandemicorthecoronavirusatthebeginning of2020.Thisvirus isknownthat firstappearedinHubeiProvince,WuhanCity,ChinaattheendofDecember 2019.The riskofCovid-19transmissioncanbe avoidedwithpublic discipline by reducingactivitiesinthemiddleofa crowdifthere isnoneedandimplementing healthprotocols.Thedevelopmentofinformationtechnology makeiteasierfor peopletoeasily obtaindatathattendstoberedundantandclassificationactivities thatcarriedout by humansstillhavelimitations,especially thehumanability to accommodatedata tobe classified.The amountof datathatentersaninstitutionor organizationevery day,thelongerthemoreitwillbe,thepileofdatawillbe accumulatedsothattheutilizationisnotoptimal.Thisstudy aimedtobuiltthethe classificationofcovid-19databy usingtheC4.5AlgorithminthecityofPagar AlamwiththeCRIPS-DMmethodwiththeX-crossvalidationopratorsmodel. TheresultsobtainedintestingbyapplyingtheC4.5algorithmtotheCovid-19 dataforthecity ofPagarAlamshowthattheaccuracyresultsare86.67%andthe AUC (Optimise) resultsare0.989.
Teknik Assosiasi Mining Menggunakan Algoritma Apriori Pada Penyebaran Covid-19 Di Kabupaten Kaur Alber Uci Saputra; Erwin Dwika Putra; M. Husni Rifqo
JTIS: Journal of Technopreneurship and Information System Vol. 5 No. 2 (2022): Juli
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

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Abstract

Covid-19 is a virus that appeared at the end of 2019, the process of spreading the virus was also considered very fast until it entered the country of Indonesia. Covid-19 is also considered as a factor inhibiting the development of a country to an area. In the kaur district area of Bengkulu City, the spread of covid-19 causes economic growth to be hampered due to established rule factors ranging from not being able to do activities related to others directly. The problem also occurs at the rate of spread of covid-19 in Kaur Regency due to the factors of the community who do not know how many people are infected with covid-19. Therefore, by applying classification, it is the right way to find out the rate of spread of COVID-19. One of them is to apply mining association techniques using a priori algorithms to see the rate of spread of COVID-19 in Bengkulu City, Kaur Regency. To find out the rate of spread of covid-19, the attributes are used to predict the rate of spread of COVID-19. Later the prediction system that will be made for the spread of covid-19 is intended for between villages in Kaur regency by using date and village name attribute data so that from this study resulted in a priori algorithm successfully applied to the analysis of the spread of covid-19 in Kaur regency, by obtaining the most frequently appeared village results are dapo coral villages with a percentage weight of 84.21%. A priori algorithm is a classification model to get a good spread analysis in conducting data mining classification.
Apriori Algorithm Implementation on Market Basket Analysis (MBA) of Mobile Phone Accessories Erwin Dwika Putra; Muhammad Husni Rifqo; Depmi Hardianto
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit ADM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.879

Abstract

Theuse of data mining techniques presently help business owners to facilitate the promotion of their product marketing. One of the most techniques is well-known as association analysis. This association analysis aims to find the relationship between the goods purchased by customers. This kind of association analysis is commonly known as market basket analysis. Market basket analysis uses customer data that has been stored in the database to find new information in it. The apriori algorithm, is applied an algorithm for conducting market basket analysis, which aims to find the most frequently purchased items. This apriori algorithm produces an association rule that is useful for business actors. By analyzing the association a priori algorithm can be seen that customers’ data can be used as input for business owners to determine sales strategies for their business.
Analysis of The Theme Clustering Algorithm Using K-Means Method Erwin Dwika Putra; Muhammad Husni Rifqo; Dwita Deslianti; Krismiyani Krismiyani
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit ADM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.884

Abstract

The title of this research is the analysis of the thesis theme clustering algorithm using the k-means method. The main problem is how we can find out which theme is most in demand by thesis students at the Faculty of Engineering, University of Muhammadiyah Bengkulu. This clustering uses the K-means method. The K-Means method was chosen because this method is one of the non-hierarchical data clustering methods that seeks to partition data into two or more clusters with the same characteristics included in the same cluster. The purpose of this research is to help prospective students who will write their thesis in knowing which themes are more interested in them.
Implementation of Blowfish Algorithm for Encryption and Decription on Android-Based QR Code Zulhamdi Putra; Dedy Abdullah; Erwin Dwika Putra; Yulia Darmi
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit ADM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.897

Abstract

The development of technology is currently growing very rapidly which allows us to access various kinds of data and information, but there are lots of people who abuse this ability, for example phishing activities that often target data and information owned by individuals and companies. Loss of data and information is very detrimental to individuals and companies, where the data and information can be used as a tool for extortion, used as a fraud tool and even the information can be traded. The main reason for the importance of maintaining the security of information is to protect information from online crimes. One of the techniques designed to protect important and confidential information is a cryptographic technique using the Blowfish algorithm and also a QR Code which functions as second line security. where data and information that has been converted into a QR Code cannot be changed. The purpose of this study is to apply the Blowfish Algorithm for Encryption and Decryption of the QR Code into an android-based application system. The results of this study are: The blowfish algorithm can be implemented into an android-based application. Plaintext which is converted into ciphertext using the blowfish algorithm can be used as a QR Code using a QR Code generator. A QR code is up to 7089 numeric digits and 4296 alphanumeric characters. The amount of information will affect the QR Code module, so the symbols in the QR Code will become more complicated. This application has received an assessment from respondents from users with an average value (6.5) with the category of choice "agree".
Analisis dan Perancangan Aplikasi Pelacakan Alumni (Tracer Study) untuk Perguruan Tinggi Swasta di Indonesia Marissa Utami; Erwin Dwika Putra
INTECOMS: Journal of Information Technology and Computer Science Vol 5 No 2 (2022): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v5i2.4947

Abstract

Perkembangan teknologi informasi saat ini ini perlu dimanfaatkan untuk lembaga pendidikan untuk dapat memantau perkembangan alumni dan memperhatikan peran strategis para alumni. Salah satu database yang sangat mendesak untuk dikembangkan adalah data alumni. Berdasarkan hasil observasi dari penelitian terkait dan observasi di lokasi riset yaitu Stikhafi Academy dan Universitas Muhammadiyah Bengkulu didapatkan model usecase diagram dan class diagram untuk aplikasi pelacakan alumni (tracer study) untuk perguruan tinggi swasta di Indonesia. Class diagram ini terdiri dari pengguna, lowongan pekerjaan, program studi, alumni dan pekerjaan alumni. Pengguna dari aplikasi ini terdiri dari dua kategori yaitu alumni dan administrator. Aplikasi yang diusulkan akan memungkinkan pengguna untuk mendaftar serta menghasilkan informasi untuk tujuan melacak keberadaan alumni. Kata Kunci: Tracer Study, Class Diagram, UML, Use Diagram
Algoritma Haar Cascade Deteksi WajahMenggunakan Phyton Dede Erwan; Yovi Apridiansyah; Erwin Dwika Putra; Ujang Juhardi
JUKOMIKA (Jurnal Ilmu Komputer dan Informatika) Vol 5, No 2 (2022): Desember
Publisher : LPPMPP Yayasan Sejahtera Bersama Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jukomika.v5i2.461

Abstract

The face is one of the body parts that exist in humans which is often used as a sign of identification between one person and another, so the face can be said to be a unique thing because it has differences. With these differences, faces are often used as a marker of self-identity so that they can be recognized by others. The introduction of this identity is an important thing that is used in various purposes, such as attendance attendance, online exams, banking transactions, online buying and selling, and so on. Even in the development of technology today is increasingly progressing, one of which is facial recognition technology can be used to access security unlocks on smartphones. In this study, face detection can be done using the Haarcascade method. The Haar Cascade algorithm is one of the algorithms used to detect a face. The algorithm is able to detect quickly and in real time an object including a human face. In analyzing face detection using the Haar cascade algorithm, the input image must match what will be detected so that it can detect the face precisely. The light intensity must be sufficient for the face to be detected. The testing process was carried out with a distance of 50 Cm, 80 Cm and 100 Cm with the results of measurements using a successful matrix confussion with a value of 92%.
Segmentasi Warna Kulit Menggunakan Ruang Warna YCBCR Untuk Deteksi Wajah Manusia Yovi Apridiansyah; erwin dwika putra; Diana Diana; Angtyas Candra Pratama
Jurnal Media Infotama Vol 19 No 1 (2023): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v19i1.3808

Abstract

Image processing is a system where the process is done by entering in the form of imagery and the result is also in the form of imagery. At first this image processing was done to improve the quality of the image, but with the development of the world of computing which is characterized by increasing the capacity and speed of computer processes. In this research image processing will be used for skin color detection which is the initial process in image processing. Success in detecting pixel imagery can be a category of skin or not skin seen from the results of processing processes such as the process of detecting human faces. Skin detection is also a process of finding skin pixels of color in the area of the image or video, this process is usually used as a preprocessing step to find areas that could potentially have a human face. In this study by applying the color space YcbCr we were able to detect faces in humans with a high percentage accuracy rate with a precession percentage of 77%, Recal 87% and an accuracy rate of 72% from the results of 10 image samples.
Co-Authors Abdiansah, Abdiansah Abdullah, Dedy Abdullah, Dedy Ade Rangga Saputera Agastra Galih Setiawan Ahmad Sayyeid Al Jadd Alber Uci Saputra Andi Nugroho Andi Nugroho, Andi Angtyas Candra Pratama Apridiansyah, Yovi Ayumi, Vina Charles Roenal Krisubiyantoro Dede Erwan Dedy Abdullah Dedy Abdullah Dedy Agung Prabowo Depmi Hardianto Deslianti, Dwita Deslianti, Dwita Diana Diana Ermatita - Erzi Hidayat Fikri Agnesa Putra Firdianti Sukemi Hadiguna Setiawan Handrie Noprison Hardianto, Depmi Harry Witriyono Herianto Herianto Jastrawan, Noris Jefri Zulkarnain Khairullah khairullah Krismiyani Krismiyani Krismiyani, Krismiyani M Khairunnas M. Husni Rifqo Mariana Purba Mariana Purba Marrisa Utami Moh. Rere Valentino Zantohar Monsya Juansen Muhammad Husni Rifqo Muhammad Husni Rifqo Naufal Afif Hawari Noprisson, Handrie Noris Jastrawan Nur Ani Nuri David Maria Veronika Pahrizal, Pahrizal Pitersa Susanto Purba, Mariana Putra, Zulhamdi Rahmat Arif Ma’ruf Rega Satya Putra Rifqo, Muhammad Husni Rio Eka Prayuda Sahrudin, Sahrudin Salamah, Umniy Sandhy Fernandez Sarwati Rahayu Sonita, Anisya Stefanus Santosa Sulis Sandiwarno ujang juhardi Vendi Handoyo Handoyo Veronika, Nuri David Maria Wachyu Hari Haji Wahyu Adianto Yetman Erwadi Yulia Darmi Yuza Reswan Zalia Apriyanti Zulhamdi Putra