Garuda - Garba Rujukan Digital

Sistem Pendukung Keputusan Pemilihan Kamera DSLR Dengan Metode Promethee Lorensius, Alfonsius; Prastiningtyas, Diah Arifah; Purwiantono, Febry Eka
J-INTECH (Journal of Information and Technology) Vol 7 No 02 (2019): J-INTECH : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

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 Rafif, Nabiladika Naufal; Isyriyah, Laila; Purwiantono, Febry Eka
J-INTECH (Journal of Information and Technology) Vol 8 No 02 (2020): Journal of Information and Technology
Publisher : LPPM STIKI MALANG

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 Masruri, Dyas Irvan; Widodo, Sugeng; Purwiantono, Febry Eka
J-INTECH (Journal of Information and Technology) Vol 9 No 02 (2021): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

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

Penerapan Metode Single Exponential Smoothing Pada Peramalan Penjualan Di UD. Kaya Rasa Berbasis Web Prasetyo, Hafedo Rakhmad; Eka Purwiantono, Febry
J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): 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.v11i1.832

This research was conducted to help forecast the sales of cakes and foods at UD. Kaya Rasa, which fluctuates and experiences varying sales volumes in each sales period. Based on the aforementioned problem, a system is needed to forecast the sales of cakes and foods, namely Single Exponential Smoothing (SES). This research uses the SDLC Waterfall model for system development, while the application will be web-based using the CodeIgniter framework. Black box testing is conducted for system testing. The result of this research is a web-based forecasting application that can predict the sales of cakes and food in the next period based on actual sales data from the previous period. As a result, UD. Kaya Rasa can accurately estimate sales and sales profits for the next period using the SES formula.

Sistem Rekomendasi Jurusan Menggunakan Algoritma Naïve Bayes Gaussian Berbasis Web Perkasa, Ken Bagus Panuluh Yudha; Eka Purwiantono, Febry
J-INTECH (Journal of Information and Technology) Vol 11 No 2 (2023): 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.v11i2.1090

This study aims to develop a web-based department recommendation system using the Gaussian Naive Bayes algorithm to address the issue of student confusion in selecting majors at STIKI Malang. Limited career guidance and information pose challenges for high school graduates in making informed decisions about their suitable majors based on interests and potentials. In this research, training data from 107 active students and graduates are utilized to provide recommendations based on various attributes such as gender, current major, skills, hobbies, reasons for pursuing higher education, program selection motives, interest in mathematics, and interest in English. The Gaussian Naive Bayes method successfully classifies continuous data with an accuracy of 87,85%, effectively dealing with the uncertainty in major selection. It is hoped that this system will assist high school graduates in choosing appropriate majors, reducing major selection errors, and optimizing potential.

Penyusunan Kerangka Konseptual Pengukuran Kualitas Sistem Informasi Akademik di Kampus STIKI Malang Berdasarkan Standart ISO 9126 Aditya, Addin; Purwiantono, Febry Eka
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 5: Oktober 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020711513

Perkembangan sistem dan teknologi informasi yang pesat telah membawa perubahan yang signifikan terhadap dunia Pendidikan khususnya Pendidikan tinggi. Hampir seluruh perguruan tinggi di Indonesia sudah mengadopsi teknologi informasi sebagai media untuk melakukan proses belajar mengajar. Salah satu teknologi yang sudah sering diadopsi adalah Sistem Informasi Akademik (SIA) yang berfungsi sebagai fasilitator IT dalam menyelenggarakan kegiatan yang bersifat akademik. Namun demikian, dengan penerapan Sistem Informasi Akademik ini pun masih meninggalkan berbagai macam pertanyaan terkait dengan pemanfaatan SIA tersebut. Tujuan dari penelitian ini adalah untuk membuat sebuah kerangka yang dapat memfasilitasi untuk mengukur kualitas sebuah perangkat lunak dari sisi Functionality (Fungsionalitas), Reliability (Keandalan), Usability (Kebergunaan), Efficiency (Efisiensi), Maintainability (Pemeliharaan) dan Portability (Portabilitas) dimana semua unsur ini terdapat pada ISO 9126 sebagai dasar acuan untuk menguji kualitas. Adapun metode pengumpulan data yang dilakukan adalah dengan menyebar kuesioner serta melakukan wawancara terhadap beberapa stakeholder sistem. Atribut-atribut yang digunakan dalam pembuatan kuesioner nantinya akan dijadikan dasar untuk perbaikan kualitas pada perangkat lunak. Diharapkan model yang diusulkan dapat dijadikan kerangka acuan untuk perbaikan kualitas bagi perangkat lunak di lingkup akademik perguruan tinggi khususnya bagian akademik dan unit penunjang lain pada umumnya. Hasil analisis menunjukkan bahwa sistem dinilai baik ditinjau dari semua karakteristik software berdasarkan ISO 9126. Abstract The rapid growth of information technology has brought a significant change to academic institution, especially to higher education. Almost all of Indonesia higher education has adopted the information technology as a learning media. Academic Information System is one of the technologies that adopted for academic purposes. However, there are still many gaps in developing and implementing the system. This research aims to build a conceptual framework that can measure the quality based on its functionality, reliability, usability, efficiency, maintainability and portability where all this element is exist in ISO 9126 as our guide for measuring the quality. We use a questionnaire and interview the stakeholders to collect data. The attributes in the questionnaire will used as a guidance to build a baseline framework. We hope this will be a good proposed model that can be a main reference for academic and other related units. The result shows that all system characteristic has a good point based on ISO 9126.

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

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

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

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

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

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