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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JURNAL SISTEM INFORMASI BISNIS Jurnal Peternakan Integratif Elkom: Jurnal Elektronika dan Komputer Journal of Education and Learning (EduLearn) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding SNATIF Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika JUITA : Jurnal Informatika Scientific Journal of Informatics Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization AdBispreneur Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) JURNAL MEDIA INFORMATIKA BUDIDARMA Information System for Educators and Professionals : Journal of Information System SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Informatika Aptisi Transactions on Management JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Aptisi Transactions on Technopreneurship (ATT) EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Mnemonic Journal Sensi: Strategic of Education in Information System Indonesian Journal of Electrical Engineering and Computer Science Abdimasku : Jurnal Pengabdian Masyarakat Computer Science and Information Technologies Jurnal Bumigora Information Technology (BITe) Aiti: Jurnal Teknologi Informasi Infotech: Journal of Technology Information Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknik Informatika (JUTIF) Indonesian Journal of Applied Research (IJAR) Journal of Applied Data Sciences JOINTER : Journal of Informatics Engineering Jurnal Indonesia : Manajemen Informatika dan Komunikasi Journal of Information Technology (JIfoTech) Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Nusantara of Engineering (NOE) Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Jurnal Rekayasa elektrika Jurnal INFOTEL SmartComp Jurnal Indonesia : Manajemen Informatika dan Komunikasi Blockchain Frontier Technology (BFRONT) Scientific Journal of Informatics JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Irwan Sembiring
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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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.
Analisis Sistem E-Commerce pada Shopee untuk meningkatkan daya saing menggunakan metode S.W.O.T. Candra Gudiato; Eko Sediyono; 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.v2i1.294

Abstract

The development of information technology has shifted the human paradigm in doing shopping from the traditional way that requires sellers and buyers to meet directly to electronic commerce (e-commerce) which is completely online. Shopee as one of the players in the e-commerce business has transformed into one of the big marketplaces, both in Indonesia and in the world. As an e-commerce company that has a worldwide reputation, Shopee is not the only player in the E-commerce business. To be able to survive in the midst of tight digital competition, of course Shopee is expected to always innovate to maintain service quality and increase competitiveness against its competitors. Therefore, an analysis will be carried out using S.W.O.T. to find out the strengths, weaknesses, opportunities, and threats that can occur to Shopee e-commerce. Based on the results of the analysis carried out, it was found that the strength of Shopee lies in its reputation, its weakness is that it is not e-commerce from Indonesia, the opportunity is a marketplace business that is not bound by space and time, and the threat is that there are many competitors for a similar business model. From these results, to reduce weaknesses and threats, as well as increase the strengths and opportunities that Shopee has, it can be done by implementing the S-O, W-O, S-T, and W-T strategies.
DIGITALISASI GEREJA KRISTEN JAWA SALATIGA TIMUR: SOLUSI PELAYANAN JEMAAT DI TENGAH PANDEMI COVID-19 Suharyadi Suharyadi; Evi Maria; Adriyanto Juliastomo Gundo; Irwan Sembiring
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 4, No 2 (2021): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (645.79 KB) | DOI: 10.31764/jpmb.v4i2.4046

Abstract

ABSTRAKCovid-19 membawa dampak pembatasan kegiatan keagamaan tatap muka di gereja untuk mencegah terbentuknya klaster penyebaran Covid-19 di gereja. Tujuan kegiatan pengabdian kepada masyarakat ini adalah melakukan digitalisasi di GKJ Salatiga Timur dengan cara membangun website untuk GKJ Salatiga Timur. Metode pelaksanaan kegiatan ini, ada dua. Pertama, pembangunan website gereja. Kedua, pelatihan dan pendampingan administrator yang bertugas untuk mengelola dan memelihara website gereja. Peserta kegiatan ini ada 12 orang. Hasil kegiatan ini, adalah tersedianya website GKJ Salatiga Timur yang dapat diakses di http://gkjsalatigatimur.org. Website gereja menjadi media publikasi dan komunikasi antara pengurus gereja dan jemaatnya. Informasi tentang kegiatan gereja bisa diakses jemaat melalui website. Tak hanya itu, rekaman ibadah online setiap minggunya, baik untuk ibadah umum maupun ibadah sekolah minggu juga sudah dapat diakses oleh jemaat melalui website gereja. Hasil pelatihan administrator website, anggota Komisi Multimedia dan Petugas Administrasi GKJ Salatiga Timur sudah dapat melakukan pemeliharaan dan pembaharuan informasi terkait kegiatan pelayanan jemaat di GKJ Salatiga Timur. Kata kunci: digitalisasi; gereja; pelayanan jemaat; Covid-19. ABSTRACTCovid-19 brings the impact of restrictions on face-to-face religious activities in churches to prevent the formation of clusters of Covid-19 spread in churches. The purpose of community service activity is to digitize GKJ Salatiga Timur by building a website for GKJ Salatiga Timur. Methods of implementing this activity, first, building a church website. Second, training and mentoring administrators the church website. There are 12 participants in this activity.This activity was carried out by the construction of church websites and training administrators in charge of managing and maintaining church websites. The result of this activity is the availability of GKJ Salatiga Timur website that can be accessed in http://gkjsalatigatimur.org. Website church becomes a medium of publication and communication between church administrators and their congregations. Information about church activities can be accessed by the congregation through the website. Not only that, recordings of online worship every week, both for public worship and sunday school worship can also be accessed by the congregation through the church's website. The result of administrator training, members of the Multimedia Commission and the Administration Officer of GKJ Salatiga Timur have been able to maintain and update information related to church service activities in GKJ Salatiga Timur. Keywords: digitization; church; church ministry; Covid-19.
Keamanan Data Pada Perangkat Internet Of Things Menggunakan Metode Public-Key Cryptography Marsyel Sampe Asang; Irwan Sembiring
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 (387.943 KB)

Abstract

Developments of IoT in every sector gives a new problem, it is information security. There are many issues about data theft and hacking in IoT system, this is because the weak of system security. IoT device is a part of system that needs special care for that issues. This research focuses on data security in IoT decive like microcontroller that only has a limited resources. Firstly is implement public-key cryptography using RSA algorithm in the device. Then, make an analysis process to see the effectiveness and efficiency of the method. Finally result of this paper shows that implementation of public-key cryptography in IoT device for data security still make the device effective and efficient to work only for small key.
Analisis Penyebaran Informasi Vaksin Covid-19 Pada Twitter Menggunakan Kolaborasi SNA dan Sentiment Analysis Stanny Dewanty Rehatta; Eko Sediyono; Irwan Sembiring
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3955

Abstract

The use of the Covid-19 vaccine as an effort to overcome and protect the Indonesian people from the Covid-19 pandemic has been widely discussed on Twitter social media. The existence of the Covid-19 vaccine in Indonesia has drawn various opinions because of the large amount of information shared by Twitter users regarding the Covid-19 vaccine. This study uses the collaboration of social network (SNA) and sentiment analysis. In this study, SNA collaborated with sentiment analysis to classify positive and negative sentiments in news spread by influential actors based on groups formed in the SNA network. SNA research shows there are 6 influential actors based on the group formed in the network. The actors with the highest popularity are @KemenkesRI with a degree of centrality reaching 194, while actors with the lowest degree of centrality are @rudeski83. In addition, actors with the highest centrality betweenness are @KemenkesRI because it plays an important role in disseminating information about the Covid-19 vaccine on social media twitter. SVM classification test results showed @KemenkesRI actor with an accuracy rate of 97% and @Vaksin_Update with an accuracy rate of 90% are actors with a positive sentiment percentage of 95%, while actors @rudeski83with an accuracy rate of 98% is an actor with a negative sentiment percentage of 80%. Based on the above, it can be seen that the SNA collaboration and sentiment analysis carried out showed that 5 out of 6 actors who were influential actors based on the group formed in the network.
Analisis Penyebaran Informasi Vaksin Covid-19 Pada Twitter Menggunakan Kolaborasi SNA dan Sentiment Analysis Stanny Dewanty Rehatta; Eko Sediyono; Irwan Sembiring
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3955

Abstract

The use of the Covid-19 vaccine as an effort to overcome and protect the Indonesian people from the Covid-19 pandemic has been widely discussed on Twitter social media. The existence of the Covid-19 vaccine in Indonesia has drawn various opinions because of the large amount of information shared by Twitter users regarding the Covid-19 vaccine. This study uses the collaboration of social network (SNA) and sentiment analysis. In this study, SNA collaborated with sentiment analysis to classify positive and negative sentiments in news spread by influential actors based on groups formed in the SNA network. SNA research shows there are 6 influential actors based on the group formed in the network. The actors with the highest popularity are @KemenkesRI with a degree of centrality reaching 194, while actors with the lowest degree of centrality are @rudeski83. In addition, actors with the highest centrality betweenness are @KemenkesRI because it plays an important role in disseminating information about the Covid-19 vaccine on social media twitter. SVM classification test results showed @KemenkesRI actor with an accuracy rate of 97% and @Vaksin_Update with an accuracy rate of 90% are actors with a positive sentiment percentage of 95%, while actors @rudeski83with an accuracy rate of 98% is an actor with a negative sentiment percentage of 80%. Based on the above, it can be seen that the SNA collaboration and sentiment analysis carried out showed that 5 out of 6 actors who were influential actors based on the group formed in the network.
Analisis Penyebaran Informasi Vaksin Covid-19 Pada Twitter Menggunakan Kolaborasi SNA dan Sentiment Analysis Stanny Dewanty Rehatta; Eko Sediyono; Irwan Sembiring
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3955

Abstract

The use of the Covid-19 vaccine as an effort to overcome and protect the Indonesian people from the Covid-19 pandemic has been widely discussed on Twitter social media. The existence of the Covid-19 vaccine in Indonesia has drawn various opinions because of the large amount of information shared by Twitter users regarding the Covid-19 vaccine. This study uses the collaboration of social network (SNA) and sentiment analysis. In this study, SNA collaborated with sentiment analysis to classify positive and negative sentiments in news spread by influential actors based on groups formed in the SNA network. SNA research shows there are 6 influential actors based on the group formed in the network. The actors with the highest popularity are @KemenkesRI with a degree of centrality reaching 194, while actors with the lowest degree of centrality are @rudeski83. In addition, actors with the highest centrality betweenness are @KemenkesRI because it plays an important role in disseminating information about the Covid-19 vaccine on social media twitter. SVM classification test results showed @KemenkesRI actor with an accuracy rate of 97% and @Vaksin_Update with an accuracy rate of 90% are actors with a positive sentiment percentage of 95%, while actors @rudeski83with an accuracy rate of 98% is an actor with a negative sentiment percentage of 80%. Based on the above, it can be seen that the SNA collaboration and sentiment analysis carried out showed that 5 out of 6 actors who were influential actors based on the group formed in the network.
Analisa dan Implementasi Sistem Keamanan Jaringan Komputer dengan Iptables sebagai Firewall Menggunakan Metode Port Knocking Irwan Sembiring; Indrastanti Widiasari; Suwijo Danu Prasetyo
Jurnal Informatika Vol 5, No 2 (2009): Jurnal Informatika
Publisher : Universitas Kristen Duta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (716.217 KB) | DOI: 10.21460/inf.2009.52.74

Abstract

Administrator suatu firewall ditantang untuk menyeimbangkan fleksibilitas dan keamanan saat merancang seperangkat aturan yang komprehensif. Firewall harus memberikan perlindungan terhadap malfeasants, sementara memungkinkan pengguna yang dipercaya untuk dapat terhubung. Sayangnya, tidak selalu mungkin untuk menyaring orang-orang jahat, karena penyaringan berdasarkan alamat IP dan port tidak membedakan pengguna yang terhubung. Orang-orang yang berniat jahat dapat berasal dari alamat IP terpercaya. Port terbuka tetap menjadi kerentanan: mereka mengizinkan koneksi untuk aplikasi tetapi juga dapat berubah menjadi pintu terbuka untuk serangan. Penelitian ini menyajikan suatu sistem keamanan baru, disebut port knocking, di mana pengguna terpercaya memanipulasi aturan firewall dengan mengirimkan informasi di seluruh port yang tertutup.
Analisa Interaksi Pegawai Pada CV. Diamond Printing Menggunakan Social Network Analysis (SNA) Budi Santoso; Danny Manongga; Irwan Sembiring
Elkom : Jurnal Elektronika dan Komputer Vol 14 No 1 (2021): Juli: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v14i1.446

Abstract

Diamond Printing is one of the largest offset printing companies with 32 years of experience and is located in the city of Surabaya, East Java. Data from HRD managers explained that there was no report from observations related to employee work effectiveness in terms of coordination and synergy between employees as seen from the communication and collaboration relationships. The absence of data related to the effectiveness of the performance of CV employees. Diamond Printing in terms of communication network mapping is one of the obstacles faced by HRD in determining KPI (key performance indicator). By using the Social Network Analysis (SNA) method with the help of UCINET 6 software, it is hoped that some employees will have advantages, especially in collaboration and communication in group network structures. There are three parameters used in SNA, including: degree centrality, closeness centrality, and betweenness centrality. This study involved 104 respondents (the entire population) with a sampling technique using snowball sampling and a questionnaire as a means of collecting data. The results of this study indicate that most of the collaboration and communication network interactions are dominated by manager level employees and department heads. Based on these findings, an innovation is needed from all stakeholders from CV. Diamond Printing in developing effective communication methods between its members.
Comparative analysis of time series prediction model for forecasting COVID-19 trend Sri Ngudi Wahyuni; Eko Sediono; Irwan Sembiring; Nazmun Nahar Khanom
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp600-610

Abstract

The outbreak of the COVID-19 pandemic occurred some time ago, making the world a pandemic. Based on this condition is important to predict early to prevent the COVID-19 disease if someday pandemic occurs. The aim of the study is to compare the analysis result of cumulative cases of COVID-19 using multiple linear regression (MLR), ridge regression (RR), and long short term memory (LSTM) models for cases study Java and Bali islands. We chose both islands as a case study because they have very dense populations. These three models are the most widely used time series-based prediction models and have relatively high accuracy values.  The predictive variables used are the number of cumulative cases, the daily cases, and population density. The research data was taken from Kaggle and processed using google collabs. Data was taken from January 20, 2020, to August 8, 2020, and data training was carried out for 12 days. The results show the accuracy of LSTM is better than other models. it can be seen in the accuracy value (99.8 %) of the model test result. The testing model uses R2, mean square error (MSE), and root mean square error (RMSE).
Co-Authors Abas Sunarya, Po Ade Iriani Adi Setiawan Adriyanto Juliastomo Gundo Agus Sugiarto Agustinus, Ari Alamsyah, Ferry Andriana, Myra April Lia Hananto Apriliasari, Dwi Ardaneswari, Awanda Arthur, Christian Astawa, I Wayan Aswin Dew Ayu Sanjaya, Yulia Putri Bayu Setyanto Pamungkas Budhi Kristianto Budi Santoso Budi, Reza Setya Cahyaningtyas, Christian Daniawan, Benny Danny Manongga Danny Sebastian Dedy Prasetya Kristiadi Dwi Hosanna Bangkalang Dwi Setiawan Edi Suharyadi Efendy, Rifan Eko Sediono Eko Sediyono Eleazer Gottlieb Julio Sumampouw Elmanda, Vonda Erick Alfons Lisangan Esti Zakia Darojat Evangs Mailoa Evi Maria Faturahman, Adam Fauzi Ahmad Muda Fian Yulio Santoso Florentina Tatrin Kurniati Gallen cakra adhi wibowo Gerry Santos Lasatira Ginting, Jusia Amanda Girinzio, Iqbal Desam Gudiato, Candra Hamdan . Hany Makaruku, Yulian Hasnudi . Henderi Henderi . Hendry Hendry, - Henuk, Yusuf Leonard Hindriyanto Dwi Purnomo Huda, Baenil Ignatius Agus Supriyono Ilham Hizbuloh Indrastanti Ratna Widiasari Iwan Setiawan Iwan Setiawan Iwan Setyawan Joko Listiawan Sukowati Joko Siswanto Joko Siswanto Jonas, Dendy Julians, Adhe Ronny Juneth Manuputty Krismiyati Kristoko D Hartomo Kristoko Dwi Hartomo Kusumajaya, Robby Andika Limbong, Josua Josen Alexander Madawara, Herdin Yohnes Manongga, Daniel H.F Manongga, Daniel H.F. Manongga, Daniel HF Marsyel Sampe Asang Marvelino, Matthew Mau, Stevanus Dwi Istiavan Maya Sari Merryana Lestari Migunani Migunani Mira Mira Mira Mohammad Ridwan Muhamad Yusup Nanle, Zeze Nazmun Nahar Khanom Nina Setiyawati Ninda Lutfiani Nining Fitriani Nugroho, Samuel Danny Nurtino, Tio Nuryadi, Didik Nurzainah Ginting Pamungkas, Bayu Setyanto Phillnov Yohanes Pinontoan Pinontoan, Phillnov Yohanes Priatna , Wowon Purbaratri, Winny Purnama Harahap, Eka Purnomo, Hidriyanto Dwi Putra, Yonathan Rahadi Qurotul Aini Qurotul Aini Rahardja.,M.T.I.,MM, Dr. Ir. Untung Raymond Elias Mauboy Rimes Jopmorestho Malioy Roy Rudolf Huizen Saian, Septovan Dwi Suputra Sandry Lanovela Pasaribu Santoso, Nuke Puji Lestari Sediyono, Eko - Setiawan Hakim Sri Ngudi Wahyuni Sri Ngudi Wahyuni, Sri Ngudi Sri Yulianto Joko Prasetyo Suharyadi Sulistio Sulistio Sumampouw, Eleazer Gottlieb Julio Supriadi, Candra Suryantara, I Gusti Ngurah Susanti, Novita Dewi Sutarto Wijono Suwijo Danu Prasetyo Teady Matius Surya Mulyana, Teady Matius Teguh Wahyono Theopillus J. H. Wellem Tintien Koerniawati Tirsa Ninia Lina Tomasoa, Lyonly Tri Wahyuningsih Tri Wahyuningsih Tukino, Tukino Untung Rahardja Untung Rahardja Wibowo, Mars Caroline Wijaya, Angga Zakharia Wiwien Hadikurniawati Yerik Afrianto Singgalen Yessica Nataliani Yohan Maurits Indey Yohnes Madawara, Herdin Yulian Hany Makaruku