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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JURNAL SISTEM INFORMASI BISNIS Jurnal Sistem Komputer JSI: Jurnal Sistem Informasi (E-Journal) Prosiding SNATIF Jurnal Teknologi Informasi dan Ilmu Komputer Scientific Journal of Informatics Journal of Information Systems Engineering and Business Intelligence Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Desimal: Jurnal Matematika INOVTEK Polbeng - Seri Informatika BAREKENG: Jurnal Ilmu Matematika dan Terapan International Journal on Emerging Mathematics Education Jurnal ULTIMA InfoSys MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Teknologi Sistem Informasi dan Aplikasi Journal of Information Technology and Computer Engineering J-SAKTI (Jurnal Sains Komputer dan Informatika) Aptisi Transactions on Management JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Aptisi Transactions on Technopreneurship (ATT) EDUKATIF : JURNAL ILMU PENDIDIKAN Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics KAIBON ABHINAYA : JURNAL PENGABDIAN MASYARAKAT Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) ICIT (Innovative Creative and Information Technology) Journal Computer Science and Information Technologies Jurnal Bumigora Information Technology (BITe) Aiti: Jurnal Teknologi Informasi Jurnal Teknik Informatika (JUTIF) JOINTER : Journal of Informatics Engineering International Journal of Engineering, Science and Information Technology Advance Sustainable Science, Engineering and Technology (ASSET) Journal of Information Technology (JIfoTech) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat JEECS (Journal of Electrical Engineering and Computer Sciences) Metris: Jurnal Sains dan Teknologi Scientific Journal of Informatics International Journal of Information Technology and Business INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Hindriyanto Dwi Purnomo
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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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

Abstract

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

Abstract

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

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.
Modifikasi Algoritma Caesar Cipher pada Kode ASCII dalam Meningkatkan Keamanan Pesan Teks Mira; 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.v2i1.293

Abstract

Abstract— Theft of personal data is a criminal act and violates the law in the field of information technology. Therefore, the security of personal data must have a higher level of security. Personal data security can be done by one of them providing a password to the data file. To avoid password burglary, you can encrypt the password. This study uses the Caesar Cipher algorithm in the encryption process. However, some classical cryptographic algorithms that have been widely known have weaknesses that can be solved by cryptanalysis. Therefore, to avoid this, before encrypting, the caesar cipher algorithm is modified first and then converted into ASCII code. The results of the modified algorithm provide a level of message security complexity, when compared to the caesar algorithm without modification. This is shown from the results of the ciphertext that produces ciphertext in the form of combined characters, making the ciphertext more difficult to read and understand by humans, so as to increase message security and can minimize the occurrence of hacking by irresponsible parties.
Deteksi Buah untuk Klasifikasi Berdasarkan Jenis dengan Algoritma CNN Berbasis YOLOv3 HR. Wibi Bagas N; Evang Mailoa; Hindriyanto Dwi Purnomo
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (526.33 KB) | DOI: 10.29207/resti.v4i3.1868

Abstract

The fruit is part of the flowers in plants that are produced from pollination of the pistils and stamens. The shape and color of many fruits with a variety, with the type of single fruit, double fruit and compound fruit. This study asks for the development of 10 pieces detection applications to help the sensor agriculture sector for 10 pieces detection. The data in this study used the image of 10 fruits namely Mangosteen, Delicious, Star Fruit, Water Guava, Kiwi, Pear, Pineapple, Salak, Dragon Fruit, and Strawberry. Training and testing using CNN algorithms and YOLOv3 machine learning methods with the support of the work of the Darknet53 neural network. The analysis was conducted using 2,333 images of data from 10 classes. The training process is carried out up to 5,000 iterations stored in checkpoints. The implementation of the detection of 10 pieces was carried out on Google Collaboratory through imagery with two tests. Accuracy in the detection of 10 pieces can reach more than 90% in the first test of each fruit and an average of 70% in the second test for images outside the test data.
Modern Ethnomathematics Mainstreaming through Mathematics Entrepreneurship Using Mathematical Ornaments Hanna Arini Parhusip; Hindriyanto Dwi Purnomo; Didit Budi Nugroho; Istiarsi Saptuti Sri Sri Kawuryan
International Journal on Emerging Mathematics Education IJEME, Vol. 5 No. 2, September 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijeme.v5i2.15118

Abstract

Modern ethnomathematics is proposed in this article by introducing curves and surfaces to objects based on commonly used mathematics. There are 2 types of objects, batik and ornament. The object is known as Batima, which means a mathematical motif made in a batik stamp. The same design can be used to design ornaments, souvenirs, accessories or other household items such as glasses, t-shirts and other materials. The formation of ethnomathematics is driven by entrepreneurial activities. The method starts with the expansion of the circular and spherical equations based on the variation of the power form which was originally 2 in the equation to be valued at random (say p). The other used equations are parametric equations, especially the hypocycloid which is extended to both curves and surfaces with spherical coordinates. In addition, derivative operators can be applied. Product manufacturing is carried out by at least 10 household businesses around Salatiga and Jogjakarta and its surroundings. In order to sustain the mainstreaming of modern ethnomathematics, entrepreneurial activities are carried out with existing materials through exhibitions and competitions that are followed. Likewise, the use of social media and marketplaces are explored to mainstream the modern ethnomathematics into society.
Analisis Prediksi Jumlah Pasien Rawat Inap di Rumah Sakit GMIM Siloam Sonder Menggunakan Metode Triple Exponential Smoothing Feibe Lawalata; Eko Sediyono; Hindriyanto Purnomo
JOINTER : Journal of Informatics Engineering Vol 2 No 01 (2021): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v2i01.28

Abstract

The increase in patients that occurs every month needs to be considered by every hospital, be it private hospitals or government hospitals. With the predictive value of the number of patients for each month. It is hoped that it can help hospital management, in making decisions to improve patient service facilities, especially in inpatient installations. In this study, the forecasting method used is Triple Exponential Smoothing, because this method is quite simple and also has advantages. The triple exponential smoothing method can adjust the trend of changes and seasonal components. The research was conducted at GMIM Siloam Sonder General Hospital, by taking samples in the form of data on the number of patients for the last 3 years using excel format. From the results of the analysis carried out, the forecast results obtained for the next 3 years are an increase seen from the increase in the total number of patients each year. The forecast value obtained is classified into high-accuracy forecasting because it has a MAPE value ≤ of 10%.
Penerapan Algoritma K-Nearest Neighbors Pada Analisis Sentimen Metode Pembelajaran Dalam Jaringan (DARING) Di Universitas Kristen Wira Wacana Sumba Andry Tanggu Mara; Eko Sediyono; Hindriyanto Purnomo
JOINTER : Journal of Informatics Engineering Vol 2 No 01 (2021): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v2i01.30

Abstract

The education sector is one of the areas that has felt the major impact of the Covid-19 pandemic. The impact that arises is teaching and learning process must be carried out from home using the online learning method. This teaching and learning method raises a variety of responses from students. This is what makes researchers analyze these views, both in the form of positive opinions or negative opinions. The analysis process is carried out by applying sentiment analysis or opinion mining from the comment on Facebook, text mining is processed using the prepocessing method, labeled it to positive and negative. Based on the available data, a classification process is carried out using the K-Nearest Neighbors algorithm. Rapid Miner is used to experiment text data with the KNN algorithm in order to find the value of accuracy, precision and recall. From the results of research, it was obtained a value of 87.00% for accuracy and 0.916 for the AUC value. The values ​​are high enough for the classification of student opinion against this pandemic so that this research is classified as Excellent Classification.
Penjadwalan Kelas Praktikum Menggunakan Algoritma Steepest Ascent Hill Climbing Hendra Waskita; Hindriyanto Dwi Purnomo; Hendry Hendry
AITI Vol 13 No 2 (2016)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.853 KB)

Abstract

Penentuan jadwal praktikum merupakan permasalahan yang sering dihadapi oleh perguruan tinggi. Keterbatasan jumlah kelas seringkali tidak sebanding dengan kegiatan yang dilakukan. Untuk memaksimalkan penggunaan kelas dan juga tenaga pengajar/asisten praktikum, diperlukan system penjadwalan yang baik. Dalam penelitian ini dirancang system penjadwalan praktikum menggunakan metode steepest ascent hill climbing. Penelitian ini menggunakan contoh data kelas praktikum di Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana.
Sistem Pendukung Keputusan Pemberian Kredit menggunakan ID3 Cahyo Dimas K; Hindriyanto Dwi Purnomo; Teguh Wahyono
AITI Vol 14 No 1 (2017)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.902 KB)

Abstract

Kredit koperasi adalah pinjaman dana yang diberikan oleh koperasi kepada nasabahnya berdasarkan kebutuhan maupun kriteria tertentu. Pemberian kredit kepada nasabah harus memenuhi kriteria maupun aturan tertentu. Ada 6 aspek yang harus dipertimbangkan dalam pemberian kredit, yaitu : character, collateral, condition, capacity, capital, dan area. Untuk memutuskan apakah seorang nasabah layak mendapatkan kredit atau tidak, perlu dilakukan evaluasi. Dalam penelitian ini, dirancang sebuah sistem pendukung keputusan menggunakan algoritma Iterative Dichotomizer Three untuk memudahkan koperasi melakukan evaluasi terhadap calon nasabah. Algoritma ID3 digunakan sebagai mesin inferensi untuk membantu pengambil kebijakan dalam menentukan nasabah yang layak mendapatkan kredit dan nasabah yang tidak layak mendapatkan kredit.
Co-Authors Ade Iriani Adila Safitri Adimas Tristan Nagara Hartono Adriyanto Juliastomo Gundo Agung Wibowo Agus Priyadi Ahmad Bayu Yadila Andre Kurniawan Andrew Aquila Chrisanto Pabendon Andry Ananda Putra Tanggu Mara Andry Tanggu Mara Angela Atik Setiyanti Anwar, Muchamad Taufiq April Firman Daru April Lia Hananto Aris Puji Widodo Arseta, Gama Astawa, I Wayan Aswin Dew Aziz Jihadian Barid Azzahra Nurwanda Bandung Pernama Budhi Kristianto Budi Kristianto Budi Kristianto, Budi C. Leuwol, Sylvie Cahyaningtyas, Christyan Cahyo Dimas K Chandra Halim Charitas Fibriani Christyan Cahyaningtyas Cornelius Arvel Pratama Tungady Daniel Kurniawan Daniel Kurniawan Danny Manongga Danu Satria Wiratama Deden Rustiana Dedy Prasetya Kristiadi Didit Budi Nugroho Dody Agung Saputro Dwi Hosanna Bangkalang Edwin Zusrony Eka Purnama Harahap Eko Sediyono Eliansion Ivan eremia Silvester Sutoyo Evang Mailoa Evangs Mailoa Fajar Rahmat Faudisyah, Alfendio Alif Fauzi Ahmad Muda Feibe Lawalata Florentina Tatrin Kurniati Giner Maslebu Gladis Tri Enggiel Griya Jitri Pabutungan Gudiato, Candra Hanna Arini Parhusip Hendra Kusumah Hendra Waskita Hendro Steven Tampake Hendry Heni Pujiastuti Hermanto Abraham, Rendy Hery Santono HR. Wibi Bagas N Hsin Rau Huda, Baenil Hui-Ming Wee Irdha Yunianto Irwan Sembiring Istiarsi Saptuti Sri Kawuryan Istiarsih Saputri Sri Kawuryan Iwan Setiawan Iwan Setyawan Jihot Lumban Gaol Joanito Agili Lopo Jonas, Dendy Joseph Teguh Santoso Kainama, Marchel Devid Karema Sarajar, Dewita Kho, Delvian Christoper Kristoko Dwi Hartomo Lea Klarisa Lumban Gaol, Jihot Markus Permadi Mau, Stevanus Dwi Istiavan Maya Sari Mellyuga Errol Wicaksono Merryana Lestari Mira Mira Mira Muhammad Aufal Muhammad Rizky Pribadi Nadya Octavianna Lompoliuw Nahusona, Ferry Nanle, Zeze Nina Rahayu Nina Setiyawati Ninda Lutfiani Nurrokhman Nurrokhman Parker, Jonathan Permadi, Markus Picauly, Irma Amy Pratyaksa Ocsa Nugraha Saian Priatna , Wowon Purbaratri, Winny Purwanto - Purwanto Putri, Violita Eka Radius Tanone Ramos Somya Raynaldo Raynaldo Raynaldo Raynaldo, Raynaldo Richard William Kho Riko Yudistira Robert William Ruhulessin Rufina Rahma Ajeng Setyaningsih Sakalessy, Afelia Jozalin Elisa Sampoerno Santoso, Fian Julio Santoso, Fian Yulio Setiyaji, Akhfan Sindy Cristine Baun Sri Kawuryan, Istiarsi Saptuti Sri Sri Yulianto Joko Prasetyo Sugiman, Marcelino Maxwell Sutarto Wijono Syamsul Arifin Tad Gonsalves Tad Gonsalves Teguh Indra Bayu Teguh Wahyono Theopillus J. H. Wellem Tio Nurtino Tirsa Ninia Lina Tri Wahyuningsih Trivena Andriani Tukino, Tukino Tumbade, Marcho Oknivan Untung Rahardja Utama, Deffa Ferdian Alif Valentino Kevin Sitanayah Que Walangara Nau, Novriest Umbu Wibowo, Mars Caroline Widyarini, Liza Wilujeng Ayu Nawang Sari Winny purbaratri Wisnu Wibisono, Indra Wiwien Hadikurniawati Yerik Afrianto Singgalen Yos Richard Beeh Yos Richard Beeh Yos Richard Beeh Yudistira, Riko Yugowati Praharsi Yuli Agung Suprabowo, Gunawan Yusuf, Natasya Aprila