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PENGARUH INTERNET OF THINGS (IOT) PADA EDUCATION BUSINESS MODEL : STUDI KASUS UNIVERSITAS ATMA JAYA YOGYAKARTA Novera Kristianti
JURNAL TEKNOLOGI INFORMASI Vol 13 No 2 (2019): Jurnal Teknologi Informasi (JTI)
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (690.713 KB)

Abstract

Internet of Things (IoT) tanpa di sadari banyak digunakan dalam berbagai sektor. Pengidentifikasian suatu objek dilakukan dengan menggunakan konsep virtual untuk di tampilkan di dunia maya. Termasuk dalam institusi pendidikan di Indonesia. Hal itu terlihat pada interaksi yang terjadi di lingkungan pendidikan tersebut.   Studi ini focus pada pengaruh internet of things dalam business model di bidang pendidikan. Penggunaan internet of things untuk mengetahui factor dari IoT yang dapat mengubah kinerja organisasi menjadi semakin meningkat, dalam business model.  Dengan studi ini dapat menganalisis dan mengetahui bagaimana IoT dapat menjadi nilai yang proposional pada bisnis model pendidikan. Analisis tersebut di kategorikan dan disusun ke dalam business model canvas. Dengan mengkategorikan IoT ke dalam bisnis model canvas di bidang pendidikan, dapat memperlihatkan dampak yang besar terhadap peningkatan di bisnis model pendidikan.
Analisis Pengaruh Citra Gelap, Normal, Terang Terhadap Wavelet Orthogonal Kristianti, Novera; Purnawati, Niwayan; Rolando, Bryand
Jurnal Buana Informatika Vol 9, No 2 (2018): Jurnal Buana Informatika Volume 9 Nomor 2 Oktober 2018
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (402.769 KB) | DOI: 10.24002/jbi.v9i2.1698

Abstract

Abstract. An image is classified into dark, normal, and bright image. The images are grouped in the dark images according to the histogram and the mu value. An image consists of information and redundancies. The use of wavelet is considered effective in image compression and it does not only cut down the memory usage but also it makes devices work faster. In this study, an analysis in conducted on the influence of dark, normal, and bright images on the orthogonal wavelet. Peak Signal to Noise Ratio (PSNR) is used to compare 17 functions of wavelet orthogonal in the image compression of dark, normal, and bright images. PSNR is a measurement parameter commonly used for measuring the quality of image reconstruction which is then compared with the original image. Compression ratio is used to measure the reduction of the data size after the compression process. Based on the research on the dark, normal, and bright image, the findings reveal that bright image has got the lowest PNSR value at all image testing while the normal image has the highest PSNR value at the wavelet orthogonal application. Keywords : Image compression, Orthogonal wavelet, PSNR, compression ratio.Abstrak. Suatu citra dikelompokkan menjadi citra gelap, citra normal, dan citra terang. Pengelompokan citra menjadi warna gelap terlihat dari histogram dan nilai rerata intensitas (mu). Citra terdiri atas informasi dan redudansi. Penggunaan wavelet dinilai efektif dalam kompresi citra dan menurunkan penggunaan memori serta membuat perangkat menjadi lebih cepat. Pada penelitian ini, dilakukan analisis pengaruh citra gelap, citra normal, dan citra terang terhadap wavelet orthogonal. Peak Signal to Noise Ratio (PSNR) digunakan untuk membandingkan 17 fungsi wavelet orthogonal dalam kompresi citra gelap, citra normal, dan citra terang. PSNR adalah parameter ukur yang sering digunakan untuk pengukuran kualitas gambar rekonstruksi, yang lalu dibandingkan dengan gambar asli. Rasio kompresi digunakan untuk mengukur pengurangan ukuran data setelah proses kompresi. Berdasarkan penelitian pada citra gelap, citra normal, dan citra terang diperoleh bahwa citra terang menghasilkan nilai PSNR paling kecil untuk seluruh citra uji dan citra normal menghasilkan nilai PSNR paling besar dalam penerapan wavelet orthogonal. Kata kunci : Kompresi citra, Wavelet orthogonal, PSNR, rasio kompresi.
PENGARUH INTERNET OF THINGS (IOT) PADA EDUCATION BUSINESS MODEL : STUDI KASUS UNIVERSITAS ATMA JAYA YOGYAKARTA Novera Kristianti
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 13 No. 2 (2019): Jurnal Teknologi Informasi Jurnal Keilmuan dan Aplikasi Bidang Teknik Informat
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v13i2.254

Abstract

Internet of Things (IoT) tanpa di sadari banyak digunakan dalam berbagai sektor. Pengidentifikasian suatu objek dilakukan dengan menggunakan konsep virtual untuk di tampilkan di dunia maya. Termasuk dalam institusi pendidikan di Indonesia. Hal itu terlihat pada interaksi yang terjadi di lingkungan pendidikan tersebut. Studi ini focus pada pengaruh internet of things dalam business model di bidang pendidikan. Penggunaan internet of things untuk mengetahui factor dari IoT yang dapat mengubah kinerja organisasi menjadi semakin meningkat, dalam business model. Dengan studi ini dapat menganalisis dan mengetahui bagaimana IoT dapat menjadi nilai yang proposional pada bisnis model pendidikan. Analisis tersebut di kategorikan dan disusun ke dalam business model canvas. Dengan mengkategorikan IoT ke dalam bisnis model canvas di bidang pendidikan, dapat memperlihatkan dampak yang besar terhadap peningkatan di bisnis model pendidikan.
PENGARUH INTERNET OF THINGS (IOT) PADA EDUCATION BUSINESS MODEL : STUDI KASUS UNIVERSITAS ATMA JAYA YOGYAKARTA Novera Kristianti
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 13 No. 2 (2019): Jurnal Teknologi Informasi Jurnal Keilmuan dan Aplikasi Bidang Teknik Informat
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v13i2.254

Abstract

Internet of Things (IoT) tanpa di sadari banyak digunakan dalam berbagai sektor. Pengidentifikasian suatu objek dilakukan dengan menggunakan konsep virtual untuk di tampilkan di dunia maya. Termasuk dalam institusi pendidikan di Indonesia. Hal itu terlihat pada interaksi yang terjadi di lingkungan pendidikan tersebut. Studi ini focus pada pengaruh internet of things dalam business model di bidang pendidikan. Penggunaan internet of things untuk mengetahui factor dari IoT yang dapat mengubah kinerja organisasi menjadi semakin meningkat, dalam business model. Dengan studi ini dapat menganalisis dan mengetahui bagaimana IoT dapat menjadi nilai yang proposional pada bisnis model pendidikan. Analisis tersebut di kategorikan dan disusun ke dalam business model canvas. Dengan mengkategorikan IoT ke dalam bisnis model canvas di bidang pendidikan, dapat memperlihatkan dampak yang besar terhadap peningkatan di bisnis model pendidikan.
Analisis Pengaruh Citra Gelap, Normal, Terang Terhadap Wavelet Orthogonal Novera Kristianti; Niwayan Purnawati; Bryand Rolando
Jurnal Buana Informatika Vol. 9 No. 2 (2018): Jurnal Buana Informatika Volume 9 Nomor 2 Oktober 2018
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v9i2.1698

Abstract

Abstract. An image is classified into dark, normal, and bright image. The images are grouped in the dark images according to the histogram and the mu value. An image consists of information and redundancies. The use of wavelet is considered effective in image compression and it does not only cut down the memory usage but also it makes devices work faster. In this study, an analysis in conducted on the influence of dark, normal, and bright images on the orthogonal wavelet. Peak Signal to Noise Ratio (PSNR) is used to compare 17 functions of wavelet orthogonal in the image compression of dark, normal, and bright images. PSNR is a measurement parameter commonly used for measuring the quality of image reconstruction which is then compared with the original image. Compression ratio is used to measure the reduction of the data size after the compression process. Based on the research on the dark, normal, and bright image, the findings reveal that bright image has got the lowest PNSR value at all image testing while the normal image has the highest PSNR value at the wavelet orthogonal application. Keywords : Image compression, Orthogonal wavelet, PSNR, compression ratio.Abstrak. Suatu citra dikelompokkan menjadi citra gelap, citra normal, dan citra terang. Pengelompokan citra menjadi warna gelap terlihat dari histogram dan nilai rerata intensitas (mu). Citra terdiri atas informasi dan redudansi. Penggunaan wavelet dinilai efektif dalam kompresi citra dan menurunkan penggunaan memori serta membuat perangkat menjadi lebih cepat. Pada penelitian ini, dilakukan analisis pengaruh citra gelap, citra normal, dan citra terang terhadap wavelet orthogonal. Peak Signal to Noise Ratio (PSNR) digunakan untuk membandingkan 17 fungsi wavelet orthogonal dalam kompresi citra gelap, citra normal, dan citra terang. PSNR adalah parameter ukur yang sering digunakan untuk pengukuran kualitas gambar rekonstruksi, yang lalu dibandingkan dengan gambar asli. Rasio kompresi digunakan untuk mengukur pengurangan ukuran data setelah proses kompresi. Berdasarkan penelitian pada citra gelap, citra normal, dan citra terang diperoleh bahwa citra terang menghasilkan nilai PSNR paling kecil untuk seluruh citra uji dan citra normal menghasilkan nilai PSNR paling besar dalam penerapan wavelet orthogonal. Kata kunci : Kompresi citra, Wavelet orthogonal, PSNR, rasio kompresi.
Prediction of Peat Forest Fires Using Wavelet and Backpropagation Novera Kristianti; Albertus Joko Santoso; Pranowo Pranowo
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 2, No 2 (2018): June 2018
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1289.705 KB) | DOI: 10.22146/ijitee.42156

Abstract

One of the causes of smog as well as climate damage, particularly in Palangka Raya, Center Kalimantan, are peat forest fires. There are a lot of losses inflicted by the smog including the increasing number of people who suffer respiratory infection (ARI) due to polluted air and any other related aspects. Peat fires are problematic to overcome because the locations of fires are difficult to be accessed. This paper focuses on building the system to predict the distribution of peat forest fire hotspots by utilizing satellite imagery. In designing the system for predicting the fire hotspots distribution, wavelet orthogonal was used as the initial processing of mapping the distribution of peat forest fire hotspots. Meanwhile, backpropagation method was used to identify the fire hotspot distribution patterns of peat forest fire in this system. From the result of the data tested which had been done for predicting the peat forest fire hotspots, the decomposition image obtained using Haar wavelet had the highest percentage of accuracy to recognize the fire hotspots, which is 90%. The recency of this system was its ability to predict the peat forest fire hotspots distribution which can be used as peat forest fires prevention, especially in Palangka Raya, Central Kalimantan.
APLIKASI MOBILE ASSISTANT JURUSAN TEKNIK INFORMATIKA UNIVERSITAS PALANGKA RAYA Nova Noor Kamala Sari; Viktor Handrianus Pranatawijaya; Novera Kristianti; Ressa Priskila; Septian Geges
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 16 No. 2 (2022): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v16i2.5372

Abstract

The process of attendance information that already exists at Palangka Raya University Informatics Engineering cannot be monitored or is still sharing manually using social media, especially such as informing the presence / presence of lecturers on campus for consultation or signature documents. The purpose of this research is to design and build a Mobile Assistant Application for Informatics Engineering at Palangka Raya University, whose development is based on Location Based Service using a prototype methodology with stages of Communication, Quick plan, Modeling Quick Design, Prototype Formation, Deployment Delivery & Feedback. The modeling of the system uses Java Android object-oriented programming and structured for web applications using the programming language using PHP database using MySQL. From the research conducted, the writer implements the results of the research into the Mobile Assistant Application of the Informatics Engineering Department of Palangka Raya University where there are features of lecturer attendance, class schedules and practicum, as well as assignments. The application of Location Based Service in this application is applied to the Google Map API with geofencing, the central point of the Informatics Engineering department is made a marker that generates a radius where if the application user enters into each radius it will produce a room information notification and send an update of the data to the database as the presence status lecturer.
PEMANFAATAN API INDODAX PADA PERDAGANGAN ASET DIGITAL CRYPTO BERBASIS WEBSITE Novera Kristianti; Viktor Handrianus Pranatawijaya
Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika Vol. 17 No. 1 (2023): Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Inform
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47111/jti.v17i1.6709

Abstract

The development of information technology today originated from advances in the field of computerization by giving birth to many new technologies such as block chain technology. One of the products born of block chain technology is cryptocurrency. Cryptocurrency is a digital currency that has the main characteristic of being transparent because it is a public ledger, all transactions are recorded online so that anyone can see where and where the coins are flowing from and where. To assist in the process of trading, an application is needed that can automatically carry out trading activities. The application that was built as a solution to this is a crypto marketplace website using the waterfall method in system design, starting from analyzing software needs, design, implementation, and testing. The results show that this system has successfully implemented the Indodax API which is used to see prices and other information about the bitcoin market and can buy and sell bitcoin ups and downs in crypto prices in the market, and can see information in the form of market activities, BTC / IDR market charts, and can even see transaction history.
Utilizing the Use of Google Trends to Discover The Architectural Attractiveness of a Place in Indonesia Onie Dian Sanitha; Novera Kristianti; Theo Fransisco; Yunida Iashania
Journal of Artificial Intelligence in Architecture Vol. 2 No. 2 (2023): Artificial Intelligence for Enhancing Building Performance, Design, and Analysi
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v2i2.7483

Abstract

A person's memory of the image of a place is powerful, which is influenced by a uniqueness supported by continuity of information. Every visitor's image will be very subjectively evaluated through the internet information media. The challenge lies in subjective perception through internet media information which only sometimes leads to real quality due to perceptions formed from the continuity of information received. A shift in meaning allegedly led to a phenomenon of similar motivation between video game users and traveling for healing purposes. From the perspective of a Google search, the word "traveling" refers to buildings and places with ecological and natural concepts. Meanwhile, video games also offer a natural concept but are more competitive. Using Google Trends, this study attempts to formulate city popularity data using the keyword "traveling." Natural Ecology is the highest choice for social media users, and "healing" is the primary motivation. The value of natural architectural instruments can be a focus to support a sustainable development process for a place based on the popularity of today's needs.
Alternatif Solusi Mengontrol Cahaya Alami pada Desain Bangunan Komersial: Studi Kasus: Toko Busana di Bukit Keminting Palangka Raya Onie D. Sanitha; Theo Fransisco; Yunida Iashania; Novera Kristianti
ATRIUM: Jurnal Arsitektur Vol. 9 No. 2 (2023): ATRIUM: Jurnal Arsitektur
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) Universitas Kristen Duta Wacana Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/atrium.v9i2.232

Abstract

Title: Alternative Solutions to Control Heat Radiation in Commercial Building Design; Case Study: Commercial Buildings In Bukit Keminting, Palangka Raya City   A building envelope is a component that protects against environmental influences outside the building that are not expected to be a solution in controlling heat radiation and sunlight. However, the shops in Bukit Keminting, Palangka Raya, have challenges. In addition to its function as a commercial building with essential criteria like visibility aspect, the position of the storefront along the road also directly faces the sunset. This causes the store to receive heat and glare from 2 p.m. to 5 p.m. Using web-based software development from AndrewMarsh.com. This study focuses on effective shading devices for stores in Bukit Keminting Palangka Raya in controlling heat radiation without eliminating the vital aspect of visibility for commercial buildings. The software analysis shows that a highly flexible device is the most suitable solution. The type of shading device with these properties is the type of external Venetian blind, which can be adjusted according to the direction of the incoming light, which changes every month.
Co-Authors Ahmad Abdul Hadi Albertus Joko Santoso Alif Tuharea, Mohammad Andhika Maharani, Anastasya Andrea Micelle, Fito Anugrahnu, Dian Putra Aprilita Aprilita Ariesta Lestari Asri Fridtriyanda Audy Mirelia W.S Aviedo Murel, Muhammad Bobby Frana, Muhammad Breby Franksoa Tarigan, Fajar Bryand Rolando Deo Eka Putra, Rholand Deria Girace Gebrila, Desi Efrans Christian Febri Yoga Saputra, Mochammad Felicia Sylviana Fernando, Samuel Fransisco, Theo Gedeon Grivaldi, Antonio Delano Hartono, Timothy Priambodo Jadiaman Parhusip, Jadiaman Kristian, Erick Kristiani, Margareta Kudadiri, Angelina Kurniasi, Ririn Leonardo, Tomas Lusia Kiareni, Cindi Mahatmanti , Anin Dita Maria, Firda Kristeni Nabila Edison, Wafiq Nahumi Nugrahaningsih Natasya, Apriliani Niwayan Purnawati Nova Noor Kamala Sari Nurika Nurlia Eka Damayanti Okta Onie D. Sanitha Onie D. Sanitha Onie Dian Sanitha Onie Dian Sanitha Pebrian Siregar, Efrandi Pranowo Pranowo Priskila, Ressa Purnawati, Niwayan Putra, Putu Bagus Adidyana Anugrah Putri, Jesica Paskaria Putri, Oktaviani Enjela Rahman Maulana, Aulia Rahman, Resha Ananda Raka Yustianto, Samuel Ressa Priskila Rinsaghi, Yudha Rolando, Bryand Sanjayanto Nugroho Saputri, Belia Septa Natalina, Melinda Septian Geges Septian Geges Silvia, Putri Sorisa, Cinda Taufiqurahman Theo Fransisco Theo Fransisco Theo Fransisco Valerius Wilson, Yonas Viktor Handrianus Pranatawijaya Watie W.N, Rusma Widiatry Widiatry, Widiatry Wirayuda, Akbar Yunida Iashania Yusuf Aditya Sihombing Zulfina, Safira