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All Journal JSI: Jurnal Sistem Informasi (E-Journal) DINAMIKA DOTCOM Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer SMATIKA Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Information System for Educators and Professionals : Journal of Information System JPM (Jurnal Pemberdayaan Masyarakat) Jurnal Teknoinfo KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Tekno Kompak JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) J-Intech (Journal of Information and Technology) INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Journal of Information Technology
Febry Eka Purwiantono
STIKI Malang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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Journal : Journal of Information Technology

 1 
Penerapan Metode Jaringan Syaraf Tiruan Radial Basis Function Untuk Identifikasi Jenis Mangga Berdasarkan Pola Daun Rhesal Mahadyanto; Diah Arifah Prastiningtyas; Febry Eka Purwiantono
J-INTECH ( Journal of Information and Technology) Vol 7 No 01 (2019): J-INTECH : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v7i01.411

Abstract

Daun merupakan salah satu bagian tanaman yang dapat menjadi acuan klasifikasi. Selain itu, daun lebih mudah diperoleh karena tidak tergantung pada musim. Karena memiliki perbedaan fitur pada setiap jenis mangga. Penerapan Jaringan Syaraf Tiruan Radial Basis Function Network merupakan salah satu cara untuk dapat mengklasifikasikan. Dengan cara pengumpulan data melalui pengolahan citra digital. yang berfokus terhadap ekstraksi fitur pada sebuah citra daun. Hasil dari informasi citra daun yang nantinya akan menjadi fitur fitur dalam metode klasifikasi. Fitur-fitur tersebut adalah Hue, Saturation, Value, Luas, Keliling, Major Axis dan Minor axis. Pada tahap pengujian hasil menunjukkan bahwa nilai persentase keberhasilan kurang dari 50% pada percobaan pelatihan 4 citra dan pengujian 4 citra dengan total 32 data latih dan 32 data uji. Dan pada percobaan pelatihan 7 dan pengujian 1 tingkat keberhasilan masih dibawah 50%. Untuk pengembangan selanjutnya dapat ditambahkan fitur / ciri agar persentase identifikasinya meningkat. Dan juga dibutuhkan penelitian dengan metode pemabanding agar dapat diketahui metode terbaik yang sesuai dengan penelitian ini. Dengan penelitian ini nantinya dapat dikembangkan lagi sebuah aplikasi mobile yang dapat mengidentifikasi jenis tanaman mangga berdasarkan daun, tidak hanya jenis mangga saja melainkan berbagai jenis tanaman. Sehingga bermanfaat juga sebagai media berbagi informasi bagi yang membutuhkan informasi mengenai jenis tanaman.
Sistem Pendukung Keputusan Pemilihan Kamera DSLR Dengan Metode Promethee Alfonsius Lorensius; Diah Arifah Prastiningtyas; Febry Eka Purwiantono
J-INTECH ( Journal of Information and Technology) Vol 7 No 02 (2019): J-INTECH : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v7i02.439

Abstract

Digital Camera Single Lens Reflex (DSLR) is a camera with a digital system that uses a single lens mounted on the camera body. All DSLR camera brands divide their consumers in camera user classes to make it easier for users to distinguish features, such as entry-level classes, professional classes (semi-professional & professional) and middle-class (semi-advanced & advanced). The choice of DSLR cameras for consumers has quite a number of parameters that can be used as a benchmark for someone to determine which DSLR camera fits their needs and desires. Parameters used in determining DSLR cameras can be subjective judgments or objective judgments. Sometimes someone has difficulty in determining the parameters taken in determining the decision, so the choices taken in the end are not exactly what is expected. Promethee method is one of determining the order (priority) in multicriteria analysis. Simplicity, clarity and stability are the main focus of problems in the promethee method. Like most other methods, the ranking process is done by selecting several alternatives with predetermined criteria. There are nine criteria to be tested, namely: image resolution, video resolution, ISO, focus point, screen pixel, shutter speed, battery life, camera class and price. Selection of Decision Support System Applications DSLR cameras are made with web-based programming languages PHP and MySQL as database management system software. This system is expected to provide DSLR camera recommendations in accordance with the criteria determined by prospective customers efficiently and effectively, so as to minimize the possibility of losses obtained by consumers.
Sistem Pakar Identifikasi Gangguan Pencernaan Anjing Dengan Metode Forward Chaining Berbasis Android Nabiladika Naufal Rafif; Laila Isyriyah; Febry Eka Purwiantono
J-INTECH ( Journal of Information and Technology) Vol 8 No 02 (2020): Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v8i02.554

Abstract

Dog is a not popular animal pet in Indonesia, there are many neglected dog that need help in Indonesia. There are many dog owner that lack information about dog diseases, even though there are many disease that can give the dog a complication or even worst dead when not treated quickly. The lack of accurate information about dog diseases made many people joint a dog owners community, naturally there are some misinformation and inaccurate information there. Based on foreign and domestic study, type of dog diseases that come to animal hospital is digestive system diseases. Around 35% of the data from dog that treated in animal hospital suffer from digestive system diseases. This study aims are people who looking for information about dog can be helped and dog that suffer from disease can be quickly treated.
Implementasi k-Means Untuk Sistem Informasi Penyebaran Penyakit Epidemi Di Kota Malang Dyas Irvan Masruri; Sugeng Widodo; Febry Eka Purwiantono
J-INTECH ( Journal of Information and Technology) Vol 9 No 02 (2021): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v9i02.638

Abstract

Epidemic is a disease that spreads very quickly in a large area and causes many victims who require intensive care and attention in areas affected by the epidemic quickly and appropriately. There are many infectious diseases that occur in Malang City, one of which is Dengue Hemorrhagic Fever (DHF). The availability of fast and clear information can help the Malang City Health Office in making decisions regarding the prevention of epidemic diseases. So the researchers created a geographic information system for the spread of epidemic diseases using a web-based k-means algorithm that will present information related to epidemic diseases in the city of Malang. To calculate the k-means algorithm, criteria are needed as variables and in this study the criteria taken are the number of patients in each kelurahan for a year. From these criteria, 3 groups will be declared using C1 as a safe area, C2 as a moderate area, and C3 as a vulnerable area. The results of the grouping are then presented in the form of a map of Malang City with the help of MapBox. In the map, group C1 is marked in green, group C2 is in yellow, and group C3 is in red
Co-Authors Addin Aditya Ahmad Fanani Alfonsius Lorensius Arif Widi Atmaja Daniel Rudiaman Sijabat Diah Arifah Dyas Irvan Masruri Go Frendi Gunawan Hilman Nuril Hadi Jozua Ferjanus Palandi Koko Wahyu Prasetyo Laila Isyriyah Lorensius, Alfonsius Mahadyanto, Rhesal Masruri, Dyas Irvan Muhammad Sofwan Romli Nabiladika Naufal Rafif Nadiva Ramandani Nando Suchlistio Pramuda Novan Satria Yogaswara Oppi Anda Resta Radi Rusadi Susanto Rafif, Nabiladika Naufal Rakhmad Maulidi Rhesal Mahadyanto SITI AMINAH Subari Sugeng Widodo Syntia Widyayuningtias Putri Listio WINDY WINDY