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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TEKNIK JURNAL SISTEM INFORMASI BISNIS Jurnal Simetris Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Informasi dan Ilmu Komputer Seminar Nasional Informatika (SEMNASIF) Sisforma: Journal of Information Systems JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Krea-TIF: Jurnal Teknik Informatika Indonesian Journal of Computing and Modeling The IJICS (International Journal of Informatics and Computer Science) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Progresif: Jurnal Ilmiah Komputer Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) International Journal of Engineering, Technology and Natural Sciences (IJETS) Aiti: Jurnal Teknologi Informasi MEANS (Media Informasi Analisa dan Sistem) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Journal of Information Technology Ampera Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Sosial dan Sains Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Jurnal Pendidikan Teknologi Informasi (JUKANTI) INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Wiwin Sulistyo
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Humanities Astronomy 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 Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics

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Analisa Perbadingan QoS Menggunakan Metode Simple Queue dan Metode Queue Tree pada Hierechical Network Design di Sekolah Dasar Negeri 2 Kelet Cahyono, Ferdian Bagas; Sulistyo, Wiwin
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 4 (2023): OCTOBER-DECEMBER 2023
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i4.1003

Abstract

The development of the internet in human life has had a very positive impact on various fields of life, including the world of education. The education system supported by internet technology has created a distance learning method that can be used by teachers and students in schools. Therefore, the Internet currently plays an important role in supporting the development of the quality of education in Indonesia. The purpose of this study is to produce and then compare the performance of the Queue Tree and Simple Queue Methods using delay, packet loss, and throughput parameters according to the Quality of Service (QoS) parameters. ) SDN Kelet 2. From the results of this study it was found that the Queue Tree Method proved to have better and more stable connection stability because it uses a mangel system to mark each IP. Then the Simple Queue Method also has good connection stability, but it is still inferior to the Queue Tree method because if the client's ping time is full, there will be a packet loss which can cause a lot of wasted bandwidth.
Optimalisasi Dua Layanan Jaringan Internet Menggunakan Teknik Load Balancing dengan Metode Peer Connection Classifier (PCC) (Studi Kasus: Jaringan Internet Desa Banyuanyar Boyolali) Hafizh, Afrianton Noor; Sulistyo, Wiwin
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 1 (2024): JANUARY-MARCH 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i1.1257

Abstract

Load Balancing is a technique for distributing data traffic so that the workload is distributed evenly on 2 or more networks to maximize resource usage and improve performance. There are two ISPs for internet access services to the Banyuanyar Village Office, Boyolali, both of which have different bandwidths, namely from PT. Telkom has 100Mbps bandwidth and Kominfo has 50Mbps bandwidth. So here there will be dense network traffic if the internet network is not optimized.. In this case, it can be optimized using load balancing techniques on both ISPs by using the Peer Connection Classifier technique to group traffic and divide the load on both internet connection lines so as not to overload. So it can be concluded that by adding a proxy router device, configuring load balancing, and applying a hierarchical network-based network topology, it will optimize two internet network services at Banyuanyar Village Hall, Boyolali.
Alat Keamanan Depan Rumah Berbasis Internet of Things (IoT) Menggunakan ESP32-CAM yang Terintegrasi dengan Face Detection dan Telegram Saputra, Christian Ferry Masyu; Sulistyo, Wiwin
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 1 (2024): JANUARY-MARCH 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i1.1259

Abstract

Crimes that happen cannot be avoided when and how they will occur, as well as when at home. When the empty state is left away or when the occupants of the house are resting, usually many people do not realize and may not even know how to avoid mistakes when driving to maintain distance in order to avoid collisions and prevent crimes that can harm the occupants of the house both physically and materially. Based on the problems that occur, it is necessary to solve the problem in order to minimize the crime that occurs by making an Internet Of Thing-based home security tool using ESP32Cam and Telegram. The code application used in designing home security tools in this study is to use the Arduino IDE. Later the design tool in this study will use a Face Deection system that functions to detect faces which can later be very useful, which can detect faces in the home area in real-time as a warning sign through the telegram application whenever and wherever the home owner is as long as there is a gadget
ANALISIS KUALITAS SIGNAL WIRELESS MENGGUNAKAN RECEIVED SIGNAL STRENGTH INDICATOR (RSSI) DI SMP NEGERI 10 SALATIGA Maulana, Andrian; Sulistyo, Wiwin
IT Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Vol 3 No 1 (2024): IT-Explore Februari 2024
Publisher : Fakultas Teknologi Informasi, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/itexplore.v3i1.2024.pp50-65

Abstract

Abstrak – Penelitian ini bertujuan untuk mengevaluasi signal wireless di SMP Negeri 10 Salatiga, dengan menggunakan Received Signal Strength Indicator (RSSI). Tujuan penelitian adalah untuk memahami distribusi kekuatan signal di sekitar lingkungan sekolah dan mengidentifikasi potensi perbaikan dalam infastruktur wireless. Metodologi melibatkan pengukuran RSSI pada lokasi strategis pengukuran nilai RSSI dilakukan dengan perhitungan otomatis menggunakan aplikasi Wi-Fi Analyzer, inSSIDer Home, dan Wi-Fi SNR. Perhitungan nilai RSSI juga dihitung dengan cara manual menggunakan rumus RSSI. Selain menghitung nilai RSSI juga ada Tahapan Interference Co-Channel dan pengukuran SNR kemudian data dianalisis untuk mengungkap pola dan variasi. Hasil penelitian menyoroti area dengan kekuatan signal rendah dan memberikan wawasan tentang efektivitas jaringan wireless. Temuan ini dapat mendukung perbaikan penempatan perangkat dan optimalisasi konektivitas. Kesimpulannya, penelitian ini memberikan kontribusi pada peningkatan pengalaman belajar berbasis teknologi informasi di SMP Negeri 10 Salatiga.
Perancangan Pengamanan Akun dengan Menggunakan Mac Address pada Metode Enkripsi DES Tambunan, Marihot Tora; Sulistyo, Wiwin
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 8 No 1 (2018): Maret 2018
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (822.932 KB) | DOI: 10.33020/saintekom.v8i1.47

Abstract

Account security becomes very important as rapid development of internet and access. The case that was reported by Liputan6 about username and password stealing done by a hacker proves that sniffing exists in reality. One of encryption method, which can be used to secure an account’s user id and password, is DES. However, this algorithm is not always considered secure. Because of that, the researcher used mac address score for the authentication step during the log in process. It is done to cover flaw since DES encryption has been prone to be broken. The result of the examination shows that mac address is possible to be used during the authentication step. This model is also efficient to be used because the response duration is quiet quick, which is less than a second, even though the first trial would take some time and process to enter the system. This model can be used as server identifier to enable user to get login access by checking mac that has been exist in the user’s device.
Computer model for detecting tsunami wave hazard on built-up land using machine learning and sentinel 2A satellite imagery Joko Prasetyo, Sri Yulianto; Sulistyo, Wiwin; Christanto, Erwien; Hasiholan Simanjuntak, Bistok
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1535-1546

Abstract

The aim of this research is to compile a tsunami wave hazard scale based on built-up land density extracted and classified by machine learning from Sentinel 2A satellite and digital elevation model (DEM) imageries. This research was carried out in 5 stages, namely: (i) pre-processing of Sentinel 2A and DEM images, (ii) Classification of VI data using the machine learning algorithms, (iii) Spatial prediction using the ordinary kriging method, (iv) Field testing using the confusion matrix method, (v) Preparation of decision matrix for tsunami wave hazard. The results of the study show that the most accurate classification algorithm for classifying built-up indices data is the k-nearest neighbor (k-NN) algorithm. The results of the statistical accuracy test show that the most accurate is normalized difference built-up index (NDBI) with a mean of square error (MSE) value of 0.073 and a mean of absolute error (MAE) of 0.003. DEM analysis shows that the research area is at an altitude of 0–15 meters above sea level so it is in the high vulnerability to medium vulnerability category. Field testing showed user accuracy of 91.11%, manufacturer accuracy of 92.16%, and overall average accuracy of 91%.
A machine learning-based computer model for the assessment of tsunami impact on built-up indices using 2A Sentinel imageries Joko Prasetyo, Sri Yulianto; Simanjuntak, Bistok Hasiholan; Susatyo, Yeremia Alfa; Sulistyo, Wiwin
Bulletin of Electrical Engineering and Informatics Vol 13, No 2: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i2.5910

Abstract

This study aims to build a computer model to detect built-up land in the identified tsunami hazard zone based on Sentinel 2A imagery using the normalized built up area index (NBI), urban index (UI), normalize difference build-up index (NDBI), a modified built-up index (MBI), index-based builtup index (IBI) algorithms, optimized with machine learning Random Forest (RF) and extreme gradient boosting (XGboost) algorithms and the spatial patterns are predicted using the ordinary kriging (OK) method. Testing of the accuracy of the classification and optimization results was performed using the Kohen Kappa and overall accuracy functions. The results of the study show that a built-up land consisting of open land and water, settlements, industry areas, and agriculture and tourism areas can be identified using the parameters of built-up indices. The accuracy testings that were performed using overall accuracy and Kohen Kappa methods show that classification and prediction are highly accurate using XGboost machine learning, namely 91%. This study produces a novelty of finding, namely a computer model to detect and predict the spatial distribution of built-up land in 4 scales, i.e., very low, low, high, and very high based on NBI, UI, NDBI, MBI, IBI data extracted from Sentinel 2A imagery.
SIEM (Security Information Event Management) Model for Malware Attack Detection Using Suricata and Evebox Hendra Setiawan; Wiwin Sulistyo
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 5 No 2 (2023): International Journal of Engineering, Technology and Natural Sciences
Publisher : Universitas Teknologi Yogyakarta, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/ijets.v5i2.241

Abstract

Malware or malicious software is software or program code specifically designed to damage software on a computer or perform malicious activities. Malware is spread over the internet and includes viruses and other forms of malware. Losses caused by malware can take the form of financial losses or disruptions to business processes. Prevention of malware attacks can be achieved by analyzing the malware to find out how it works and what its characteristics are. This information can be utilized to define an Indicator of Compromise (IOC), which is stored in a Cyber Threat Intelligence (CTI) system designed to be used as a source of information, such as the Intrusion Prevention System (IPS) Suricata. An Intrusion Detection System (IDS) can detect the presence of malware and can identify the same malware with the Signature Based Detection method. Furthermore, the database is stored by EveBox and organized to make it easier to read logs and alerts. All of these components are contained in the Security Information and Event Management (SIEM) model. The SIEM model can detect malware attacks based on their characteristics and store logs and alerts in real-time for deeper analysis by the Security Operations Center (SOC).
Analisis Dan Implementasi Manajemen Bandwidth Untuk Optimalisasi Layanan Jaringan Internet BUMDes Di Jlumpang Nurhidayat, Arif; Sulistyo, Wiwin
Progresif: Jurnal Ilmiah Komputer Vol 19, No 2: Agustus 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v19i2.1271

Abstract

Jlumpang BUMDes owned by the village government wants to provide optimal internet services to its customers. Thus, all customers' internet needs are met and they can carry out activities on the internet without obstacles. However, the problem that occurs is that the current network topology is not fully documented, making it difficult to monitor and repair the network. In addition, there is no bandwidth management, which means that if one subscriber downloads, the other subscribers will feel the effect of the slow network. Therefore, it is necessary to design a network topology design and network configuration in the form of bandwidth management using the Network Development Life Cycle (NDLC) method. The results of the network configuration obtained, the bandwidth usage of customers is more optimal with better Quality of Service (QoS) than before. It can be concluded that network problems at Jlumpang BUMDes can be solved with the bandwidth management that has been implemented.Keyword: Internet Network; Bandwidth Management; Network Development Life Cycle; Quality of Service. AbstrakBUMDes Jlumpang yang dimiliki oleh pemerintah desa ingin memberikan pelayanan jasa internet yang optimal kepada pelangganya. Dengan demikian, semua kebutuhan internet pelanggan dapat terpenuhi dan melakukan aktivitas di internet tanpa hambatan. Namun permasalahan yang terjadi adalah topologi jaringan saat ini tidak terdokumentasi secara lengkap sehingga menyulitkan untuk monitoring dan perbaikan jaringan.  Selain itu, tidak ada manajemen bandwidth, yang mengakibatkan jika salah satu pelanggan melakukan download, pelanggan lainnya akan merasakan efek lambatnya jaringan. Oleh karena itu diperlukan perancangan desain topologi jaringan dan konfigurasi jaringan berupa manajemen bandwidth dengan menggunakan metode Network Development Life Cycle (NDLC). Hasil dari konfigurasi jaringan yang diperoleh, penggunaan bandwidth pada pelanggan lebih optimal dengan Quality of Service (QoS) yang lebih baik dari sebelumnya. Dapat disimpulkan bahwa permasalahan pada jaringan pada BUMDes Jlumpang dapat dipecahkan dengan adanya manajemen bandwidth yang sudah diterapkan.Kata Kunci: Jaringan Internet; Manajemen Bandwidth; Network Development Life Cycle; Quality of Service.
Implementasi Metode Hierarchical Token Bucket dan Penjadwalan Otomatis dalam Pembagian Bandwidth di Sanggar Kegiatan Belajar Fahad, Malik; Sulistyo, Wiwin
Progresif: Jurnal Ilmiah Komputer Vol 19, No 2: Agustus 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v19i2.1334

Abstract

The Salatiga Learning Activity Studio has used the internet network to support teaching and learning activities, but there are problems related to the occurrence of bandwidth tugs so that the internet network used when accessing online learning media is slow which causes the online learning process to be ineffective. This research implements bandwidth sharing and automatic scheduling using the Hierarchical Token Bucket (HTB) method. Measurement of QoS parameters on video streaming services and interactive services shows an increase in network quality after using the HTB method. The decrease in the average value of jitter, delay, and packet loss indicates that the average value of throughput increases. By dividing bandwidth between social media and online learning media, the learning process becomes more effective.Keywords: Hierarchical Token Bucket; QueueTree; Social Media; Online Learning Media AbstrakSanggar Kegiatan Belajar Salatiga telah menggunakan jaringan internet sebagai penunjang kegiatan belajar mengajar, namun terdapat masalah berkaitan dengan terjadinya tarik menarik bandwidth, sehingga jaringan internet yang digunakan pada saat mengakses media pembelajaran online menjadi lambat, yang menyebabkan proses pembelajaran online menjadi tidak efektif. Penelitian ini mengimplementasikan pembagian bandwidth dan penjadwalan otomatis dengan metode Hierarchical Token Bucket (HTB). Pengukuran parameter QoS pada layanan streaming video dan layanan interaktif menunjukkan adanya kualitas jaringan yang meningkat setelah digunakannya metode HTB. Nilai rata-rata pada jitter, delay, dan packet loss yang menurun menunjukkan bahwa nilai rata-rata throughput meningkat. Dengan dilakukannya pembagian bandwidth antara media sosial dan media pembelajaran online, proses pembelajaran menjadi lebih efektif.Kata kunci: Hierarchical Token Bucket; Queue Tree; Media Sosial; Media Pembelajaran Online
Co-Authors Achmad Sathibi Agus, Yulius Manahil Hendrawan Albertoes Pramoekti Narendra Aldy Rotinsulu Alja Aminanto Anton Hermawan Antonius Budi Istiadi Arman Novrianto Arzan Khoirul Anam Bistok Hasiholan Simanjuntak Cahyono, Ferdian Bagas Christanto, Erwien Christianto, Natanael Deni Mardiyanto Denny Purwa Widyantono Dileando Gamaliel Dysan Yusak Erwien Christianto Fahad, Malik Gidion Fajar Tri Krisnadi Gilberto Jemali Gracia Sonia Lestari Wibowo Hafizh, Afrianton Noor Hallatu, Axl Denis B Hans Nova Santosa Heluka, Huelilik Dyan HENDRA SETIAWAN Hendry Hosea Adrian Pratama Irwan Sembiring Isa Mahendra Kusuma Rachman, Bhaskara Julian Lirama Junior Pandari junga, David Kogoya, Waiki Elkius Krisna Budi Prastya Marcellinus Brendan Hananta Maulana, Andrian Merlyn Gizella Nifu MHD. Reza M.I. Pulungan Milleano Jody Alfredo Moh Tri Adi Prasetyo Natanael Christianto Nurhidayat, Arif Prasetyo, Sri Yulianto Saputra, Christian Ferry Masyu Saputra, Laufi Dian Deodo Sartomo, Sartomo Sesilia Kirana Vaniamosa Setyo Hadi Darminto Sinurat c Sri Winarso Martyas Edi Sri Yulianto Joko Prasetyo Subanar . Susatyo, Yeremia Alfa Suwah Yudianto Tamba, David Egi Tambunan, Marihot Tora Tambunan, Marihot Tora Teguh Indra Bayu Teguh Wahyono Widianto, Theodorus Kristian Wilopo Liem Bob Yanuar Chris Milian Yolan Dita Dewi Pramudita Yusak, Dysan