Garuda - Garba Rujukan Digital

Pemberian Rekomendasi Menu Makanan Menggunakan Logika Fuzzy Destiya Dian Kusuma Wijayanto; Hindriyanto Dwi Purnomo; Hendro Steven Tampake
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2014
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Perencanaan menu makanan secara konvensionalumumnya terkendala dengan sedikitnya daftar menu yangtersedia serta sulitnya memantau menu-menu baru atau menuyang sedang menjadi tren. Hal ini dapat menyebabkanperencanaan menu makanan menjadi kegiatan yang memakanbanyak waktu dan biaya. Selain itu, variasi menu makanan akancenderung monoton dan tidak sesuai dengan kebutuhan. Untukmengatasi permasalahan tersebut, pada penelitian ini dibuatsuatu sistem rekomendasi menu makanan menggunakan logikafuzzy dengan metode inferensi mamdani. Kumpulan menumakanan didapatkan dari internet dengan memanfaatkan webservice yang disediakan oleh Yummly. Sistem rekomendasi menumakanan ini akan menampilkan 10 menu makanan yangmemiliki nilai kesesuaian tertinggi.

Exploring MSMEs Cybersecurity Awareness and Risk Management : Information Security Awareness Yerik Afrianto Singgalen; Hindriyanto Dwi Purnomo; Irwan Sembiring
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 15, No 3 (2021): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.67010

The use of information technology in the management of Micro, Small, and Medium Enterprises (MSMEs) is not limited to business performance and productivity but also aspects of data security and transactions using various mobile, website, and desktop-based applications. This article offers an idea to explore cybersecurity awareness and risk management of MSME actors who adopt information technology. The research method used is qualitative with a case study approach in the Coffeeshop X business and the Y Souvenir business in Salatiga City, Central Java, Indonesia. The data collection technique used in-depth interviews, observation, and document studies. These findings indicate that Cybersecurity Awareness, especially information security awareness, can be reviewed based on knowledge, attitudes, and behavior. Risk management can be review based on supply risk, operational risk, and customer risk. Cybersecurity Awareness and Risk Management in MSMEs is holistic and cannot be generalized, so it needs to be discussed contextually based on case studies. In the context of Coffeeshop X and Souvenir Y, the level of Cybersecurity Awareness (knowledge, attitude, behavior) is not always linear. In addition, risk management is more dominant in the customer risk dimension, compared to supply risk and operational risk.

IMPLEMENTASI METODE ASOSIASI APRIORI UNTUK MENGETAHUI POLA BELI KONSUMEN DAN REKOMENDASI PENEMPATAN PRODUK PADA SWALAYAN XYZ Muchamad Taufiq Anwar; Hindriyanto Dwi Purnomo; Mega Novita; Clara Hetty Primasari
Dinamik Vol 25 No 1 (2020)
Publisher : Universitas Stikubank

Bisnis retail merupakan bisnis yang keberhasilannya sangat dipengaruhi oleh kemampuan untuk memahami perilaku konsumen dan kesigapan respons dari pemiliknya. Memahami konsumen dapat dilakukan dengan mempelajari data historis dari transaksi konsumen. Metode association rule-mining dalam Machine Learning dapat kita manfaatkan untuk menemukan tren pola perilaku beli konsumen yang menunjukkan keterkaitan antar produk / kategori produk. Penelitian ini bertujuan untuk menemukan tren asosiasi kategori produk serta memberikan rekomendasi penempatan produk (product placement layouting) dengan memaksimalkan exposure pembeli terhadap produk-produk yang terkait saat berbelanja suatu barang dengan harapan akan terjadi peningkatan penjualan. Sebanyak 12.760 data transaski digunakan untuk menemukan pola beli konsumen. Pola beli konsumen ini kemudian dijadikan dasar untuk memberikan rekomendasi penempatan produk untuk meningkatkan penjualan.

IMPLEMENTASI METODE ASOSIASI APRIORI UNTUK MENGETAHUI POLA BELI KONSUMEN DAN REKOMENDASI PENEMPATAN PRODUK PADA SWALAYAN XYZ Muchamad Taufiq Anwar; Hindriyanto Dwi Purnomo; Mega Novita; Clara Hetty Primasari
Dinamik Vol 25 No 1 (2020)
Publisher : Universitas Stikubank

Bisnis retail merupakan bisnis yang keberhasilannya sangat dipengaruhi oleh kemampuan untuk memahami perilaku konsumen dan kesigapan respons dari pemiliknya. Memahami konsumen dapat dilakukan dengan mempelajari data historis dari transaksi konsumen. Metode association rule-mining dalam Machine Learning dapat kita manfaatkan untuk menemukan tren pola perilaku beli konsumen yang menunjukkan keterkaitan antar produk / kategori produk. Penelitian ini bertujuan untuk menemukan tren asosiasi kategori produk serta memberikan rekomendasi penempatan produk (product placement layouting) dengan memaksimalkan exposure pembeli terhadap produk-produk yang terkait saat berbelanja suatu barang dengan harapan akan terjadi peningkatan penjualan. Sebanyak 12.760 data transaski digunakan untuk menemukan pola beli konsumen. Pola beli konsumen ini kemudian dijadikan dasar untuk memberikan rekomendasi penempatan produk untuk meningkatkan penjualan.

IMPLEMENTASI METODE ASOSIASI APRIORI UNTUK MENGETAHUI POLA BELI KONSUMEN DAN REKOMENDASI PENEMPATAN PRODUK PADA SWALAYAN XYZ Muchamad Taufiq Anwar; Hindriyanto Dwi Purnomo; Mega Novita; Clara Hetty Primasari
Dinamik Vol 25 No 1 (2020)
Publisher : Universitas Stikubank

Bisnis retail merupakan bisnis yang keberhasilannya sangat dipengaruhi oleh kemampuan untuk memahami perilaku konsumen dan kesigapan respons dari pemiliknya. Memahami konsumen dapat dilakukan dengan mempelajari data historis dari transaksi konsumen. Metode association rule-mining dalam Machine Learning dapat kita manfaatkan untuk menemukan tren pola perilaku beli konsumen yang menunjukkan keterkaitan antar produk / kategori produk. Penelitian ini bertujuan untuk menemukan tren asosiasi kategori produk serta memberikan rekomendasi penempatan produk (product placement layouting) dengan memaksimalkan exposure pembeli terhadap produk-produk yang terkait saat berbelanja suatu barang dengan harapan akan terjadi peningkatan penjualan. Sebanyak 12.760 data transaski digunakan untuk menemukan pola beli konsumen. Pola beli konsumen ini kemudian dijadikan dasar untuk memberikan rekomendasi penempatan produk untuk meningkatkan penjualan.

IMPLEMENTASI METODE ASOSIASI APRIORI UNTUK MENGETAHUI POLA BELI KONSUMEN DAN REKOMENDASI PENEMPATAN PRODUK PADA SWALAYAN XYZ Muchamad Taufiq Anwar; Hindriyanto Dwi Purnomo; Mega Novita; Clara Hetty Primasari
Dinamik Vol 25 No 1 (2020)
Publisher : Universitas Stikubank

Bisnis retail merupakan bisnis yang keberhasilannya sangat dipengaruhi oleh kemampuan untuk memahami perilaku konsumen dan kesigapan respons dari pemiliknya. Memahami konsumen dapat dilakukan dengan mempelajari data historis dari transaksi konsumen. Metode association rule-mining dalam Machine Learning dapat kita manfaatkan untuk menemukan tren pola perilaku beli konsumen yang menunjukkan keterkaitan antar produk / kategori produk. Penelitian ini bertujuan untuk menemukan tren asosiasi kategori produk serta memberikan rekomendasi penempatan produk (product placement layouting) dengan memaksimalkan exposure pembeli terhadap produk-produk yang terkait saat berbelanja suatu barang dengan harapan akan terjadi peningkatan penjualan. Sebanyak 12.760 data transaski digunakan untuk menemukan pola beli konsumen. Pola beli konsumen ini kemudian dijadikan dasar untuk memberikan rekomendasi penempatan produk untuk meningkatkan penjualan.

Knowledge Extraction on Reducing the Number of Students Using Explore, Elaborate and Execute Techniques Juvinal Ximenes Guterres; Ade Iriani; Hindriyanto Dwi Purnomo
Khazanah Informatika Vol. 5 No. 2 December 2019
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v5i2.8685

The decline in the number of students at East Timor's private universities can create new problems. This will be a burden for universities and other private institutes to develop. The financial and financing components are the factors that determine the implementation of teaching and learning activities that are used, among others, for the cost of facilities and teaching equipment. This study aims to extract knowledge of the decline in the number of students that occur every year at UNITAL. The method used is knowledge capture with Explore, Elaborate, and Execute techniques. Data collection techniques carried out by observation, interviews, documentation and questionnaires. Explore techniques to investigate results data, observations, interviews, documentation and questionnaires related to the reduction in the number of students arrested in the form of causes and effects of problems, then elaborate techniques describe interview, observation, brainstorming, and documentation data. The execute process is the stage of executing data from knowledge capture techniques based on explore and elaborate techniques and then produces a tacit and explicit knowledge from the actors or actors. The results obtained from this research are able to identify that the decline in students is caused by the main factors, namely, the quality of human resources consisting of lecturers, staff and technicians, service quality, facilities and infrastructure, buildings, classrooms, laboratory facilities, libraries and UNITAL academic information systems. Externally, there is a lack of cooperation with universities, both domestic and foreign, promotion to the public both directly and through social media. The results of knowledge capture is wealth that can be stored in a repository to be shared to help the processing of knowledge with the help of Information Technology.

Knowledge Extraction on Reducing the Number of Students Using Explore, Elaborate and Execute Techniques Juvinal Ximenes Guterres; Ade Iriani; Hindriyanto Dwi Purnomo
Khazanah Informatika Vol. 5 No. 2 December 2019
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v5i2.8685

The decline in the number of students at East Timor's private universities can create new problems. This will be a burden for universities and other private institutes to develop. The financial and financing components are the factors that determine the implementation of teaching and learning activities that are used, among others, for the cost of facilities and teaching equipment. This study aims to extract knowledge of the decline in the number of students that occur every year at UNITAL. The method used is knowledge capture with Explore, Elaborate, and Execute techniques. Data collection techniques carried out by observation, interviews, documentation and questionnaires. Explore techniques to investigate results data, observations, interviews, documentation and questionnaires related to the reduction in the number of students arrested in the form of causes and effects of problems, then elaborate techniques describe interview, observation, brainstorming, and documentation data. The execute process is the stage of executing data from knowledge capture techniques based on explore and elaborate techniques and then produces a tacit and explicit knowledge from the actors or actors. The results obtained from this research are able to identify that the decline in students is caused by the main factors, namely, the quality of human resources consisting of lecturers, staff and technicians, service quality, facilities and infrastructure, buildings, classrooms, laboratory facilities, libraries and UNITAL academic information systems. Externally, there is a lack of cooperation with universities, both domestic and foreign, promotion to the public both directly and through social media. The results of knowledge capture is wealth that can be stored in a repository to be shared to help the processing of knowledge with the help of Information Technology.

Knowledge Extraction on Reducing the Number of Students Using Explore, Elaborate and Execute Techniques Juvinal Ximenes Guterres; Ade Iriani; Hindriyanto Dwi Purnomo
Khazanah Informatika Vol. 5 No. 2 December 2019
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v5i2.8685

The decline in the number of students at East Timor's private universities can create new problems. This will be a burden for universities and other private institutes to develop. The financial and financing components are the factors that determine the implementation of teaching and learning activities that are used, among others, for the cost of facilities and teaching equipment. This study aims to extract knowledge of the decline in the number of students that occur every year at UNITAL. The method used is knowledge capture with Explore, Elaborate, and Execute techniques. Data collection techniques carried out by observation, interviews, documentation and questionnaires. Explore techniques to investigate results data, observations, interviews, documentation and questionnaires related to the reduction in the number of students arrested in the form of causes and effects of problems, then elaborate techniques describe interview, observation, brainstorming, and documentation data. The execute process is the stage of executing data from knowledge capture techniques based on explore and elaborate techniques and then produces a tacit and explicit knowledge from the actors or actors. The results obtained from this research are able to identify that the decline in students is caused by the main factors, namely, the quality of human resources consisting of lecturers, staff and technicians, service quality, facilities and infrastructure, buildings, classrooms, laboratory facilities, libraries and UNITAL academic information systems. Externally, there is a lack of cooperation with universities, both domestic and foreign, promotion to the public both directly and through social media. The results of knowledge capture is wealth that can be stored in a repository to be shared to help the processing of knowledge with the help of Information Technology.

Review : Algoritma Kriptografi Sistem Keamanan SMS di Android Maya Sari; Hindriyanto Dwi Purnomo; Irwan Sembiring
Journal of Information Technology Vol 2 No 1 (2022): Journal of information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v2i1.292

Abstract— The use of smartphones is very widespread in today's society. Android is widely liked by various circles of users as well as among smartphone manufacturers with its very interesting features. However, even though this smartphone technology has many features, users still have special considerations for SMS (Short Message Service) email. Unfortunately, this SMS feature has limitations, only in the security of exchanging confidential information, this system is needed to provide secure information exchange via Android-based SMS. Therefore, it is necessary to secure it using cryptographic methods and a high level of security is required. In this study, we will compare three cryptographic algorithms, namely AES (Advanced Encryption Standard), RSA (Rivest Shamir Adleman), and TEA (Tiny Encryption Algorithm) which is carried out by comparing the characteristics of the encryption algorithm, the results of which will be used for an Android-based SMS security system with better security. higher. Based on the findings of the review it can be concluded that TEA (Tiny Encryption Algorithm) is the best algorithm for this work for an SMS security system on Android.

Title

Found 116 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 116 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 116 Documents
Search