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All Journal Syntax Jurnal Informatika Teknosains: Media Informasi Sains dan Teknologi Jurnal Ilmiah FIFO JURNAL MEDIA INFORMATIKA BUDIDARMA The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Building of Informatics, Technology and Science Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknimedia: Teknologi Informasi dan Multimedia KLIK: Kajian Ilmiah Informatika dan Komputer Brilliance: Research of Artificial Intelligence BEES: Bulletin of Electrical and Electronics Engineering Jurnal Informatika Teknologi dan Sains (Jinteks) Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri Hexagon Jurnal Pengabdian Rekayasa Sistem Jurnal Teknologi Informatika dan Komputer Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK) Indonesian Journal of Engineering (IJE)
Yuliadi Yuliadi
Universitas Teknologi Sumbawa, Sumbawa
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering 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 Mathematics Mechanical Engineering Physics Social Sciences Other

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Clustering Data Menggunakan Metode K-Means untuk Rekomendasikan Pembelajaran Akademik bagi Siswa Aktif dalam Ekstrakurikuler Muhammad Azzam Al Fauzie; Yuliadi Yuliadi; Juniardi Akhir Putra
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.1116

Abstract

Student academic achievement includes their achievements and performance in academic fields, such as exam results, report card scores, and achievements in certain subjects. The student's academic achievement has an effect on further study to a higher level. In this study, grouping of student data was carried out using the K-Means Clustering algorithm. The data used are grades VIII and IX grade report cards. The results of grouping the data showed that there were eight clusters with different numbers of students using three categories of cluster sizes, namely smart, moderate, and moderate. Based on data analysis, it was found that English needs to get special attention in learning. Students with balanced grades between science and social studies can choose a major according to their interests. Students in the moderate cluster tend to have dominant grades in the Science major, while students in the moderate cluster tend to have dominant grades in the Social Sciences major. The majority of students have grades above 80, indicating good performance. The grouping of these data forms the basis for selecting appropriate majors, optimal participation in extracurricular activities, and support for students with sufficient grades. It is hoped that the research results will become a recommendation for schools to improve students' understanding and maintain a balance between academic and extracurricular activities
Penerapan Algoritma K-Means Clustering Untuk Data Obat Tis Asy Aria; Yuliadi Yuliadi; M Julkarnain; Fahri Hamdani
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.1117

Abstract

In the process of planning and controlling the supply of UPT drug stock. Unter Iwes Sumbawa Community Health Center is not yet optimal because the problem of inaccuracy in analyzing drug needs affects the amount needed and demand for medicine. In this study, drug data analysis was conducted by applying the K-Means Clustering algorithm. Drug data is grouped based on usage levels C1, C2, and C3 (low, medium, high) with attributes namely Drug Name, Unit, Supply, Demand and Usage. The results of this study can provide a strategy as a reference for future drug planning and needs. From the results of drug data testing from January to December 2022 with a total of 4,642 data and training data totaling 4,622. The results of the performance of grouping drugs using the Davies Bouldin method of 0.513 clusters of C1/C0 (low) data were 4433 items with 4000 uses. C2/C3 cluster (medium) is 184 items with 10,850 drug use and C3/C2 cluster (high) is 5 items with
Analisis Keamanan Jaringan Menggunakan Metode Security Policy Development Life Cycle (SPDLC) Yunanri W; Yuliadi Yuliadi; Shinta Esabella; Yasinta Bella Fitriana
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.1157

Abstract

Security is a system for carrying out prevention on a network that can be done using various methods, such as firewalls, port scanning, and DDoS. A firewall is a security system that can open or close certain port access through the firewall on the router according to the role that is built. One of the network security methods applied to Mikrotik Router OS is Port Knocking, which opens or closes certain port access through the firewall on the router according to the role that is built. However, a common problem that is often experienced in the provision of internet services such as the security network of the Tapangpass Cafe network is the problem of access rights. Several problems are encountered such as the need for internet in network security, so there is concern about hacking on the proxy network, therefore researchers will conduct an analysis on network security at Tangpass Cafe. Using the Security policy development life cycle method, then the results of this analysis researchers apply firewall network security from port scanning and denial of service attacks. The test results on the Tapangpass Café Mikrotik network are vulnerable to attack gaps, so security is needed on the firewall rules, Secure Routerboard RB941-2nD Settings, Periodic testing on the network used, and Upgrade the Operating System on Mikrotik
MENINGKATKAN GIZI DAN PEREKONOMIAN MASYARAKAT MBAWI MELALUI KEGIATAN PENGOLAHAN ABON IKAN BANDENG Yuliadi Yuliadi; Nora Dery Sofya; I Gusti Putu Muliarta Aryana; Herpan Syafil Harahap; I Wayan Joniarta; Koko Hermanto
RESWARA: Jurnal Pengabdian Kepada Masyarakat Vol 5, No 1 (2024)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v5i1.4115

Abstract

Mbawi merupakan salah satu desa di Kabupaten Dompu, NTB yang memiliki potensi perikanan berlimpah, baik dari laut maupun tambak. Namun demikian, potensi tersebut belum dioptimalkan oleh masyarakat, hasil tangkapan ikan masih diperjualbelikan dalam bentuk segar dengan harga murah. Jadi, potensi yang dimiliki belum mampu menyejahterakan masyarakat. Oleh karena itu, akan dilakukan pendampingan terutama kepada ibu rumah tangga yang banyak mempunyai waktu luang untuk meningkatkan nilai jual produk ikan dengan mengolahnya menjadi abon. Juga mitra yang lain yaitu karang taruna yang selama ini belum banyak berkegiatan, yang diharapkan dapat membantu para ibu untuk pengembangan usaha. Ikan yang dipilih adalah ikan bandeng yang jumlah produksinya terbanyak, dan diolah menjadi abon karena produk ini awet dalam waktu yang cukup lama. Pelatihan yang diberikan sudah menggunakan teknologi tepat guna seperti mesin cold storage, mesin peniris minyak, mesin penggoreng, dan mesin pencacah daging ikan. Evaluasi hasil pelatihan menunjukkan bahwa 91,3% mitra mengalami peningkatan pengetahuan  adanya peningkatan jumlah warga yang faham tentang gizi yang terkandung dalam ikan bandeng, dan sebanyak 90,9% mitra mengalami peningkatan kemampuan membuat abon ikan bandeng. Selain itu, peserta sangat paham dengan pelatihan yang telah dilakukan diberikan, baik materi maupun praktiknya. Analisis Harga menunjukan bahwa ikan bandeng segar 5 kg seharga Rp. 140.000,- setelah diolah menjadi abon memperoleh keuntungan sebesar Rp. 206729,05,-
Analisis Keamanan Website Terhadap Serangan DDOS Menggunakan Metode National Institute of Standards and Technology (NIST) Yuliadi Yuliadi; Yunanri. W; Fahri Hamdani; Yasinta Bella Fitriana; Nabila Oper
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.830

Abstract

Universitas Teknologi Sumbawa adalah salah satu Perguruan Tinggi Swasta yang berada di Kabupaten Sumbawa, dalam pelayanannya Universitas Teknologi Sumbawa menyediakan informasi berupa website baik informasi pengenalan Universitas ataupun yang berkaitan dengan seputar perkuliahan. Penelitian ini bertujuan untuk menganalisa serangan DDoS pada website Universitas Teknologi Sumbawa. Serangan Distributed Denial of Service menjadi salah satu pilihan hacker karena telah terbukti menjadi ancaman didunia internet. Serangan DDoS dapat membuat suatu website menjadi lambat atau bahkan down. Pada penelitian ini melakukan pengujian serangan DDoS menggunkan Low Orbit Ion Cannon (LOIC) pada website kemudian menganalisa serangan DDoS dan memonitoring lalu lintas jaingan menggunakan wireshark. Hasil dari penelitian ini Website UTS meliki keamanan yang baik diketahu dari hasil pengujian serangan DDoS yang walaupun sudah dilakukan penyerangan dari 500, 1000,5000 hingga 10.000 Packet website masih tetap bisa diakses walaupun lambat. Rekomendasi keamanan website dengan menerapkann teknik blacklist IP dan firewall untuk mengantisipasi terjadinya serangan DDoS
Komparasi CNN dengan ResNet Untuk Klasifikasi Paling Akurat Tingkat Keganasan Diabetes Berdasarkan Citra Retinopathy Lalu Mutawalli; Mohammad Taufan Asri Zaen; Yuliadi Yuliadi
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3248

Abstract

Diabetes becomes an infectious disease that has a very significant increase, it's increasing not only in old age or even suffered by a young age. Based on the Data and Information Center of the Ministry of Health of the Republic of Indonesia, the prevalence of diabetes is 9% in female genitals and 9.65% in male genitals and is estimated to increase to 19.9% with the addition of population age. Currently, the Machine Learning (Depp learning) approach is widely used in carrying out the calcification of medical image data. Retinopathy Diabetes image data can be used as material to build a classification model by utilizing the Convolutional Neural Network (CNN) algorithm and Residual Network (ResNet). The test results in the model developed in this study were the comparison showing the accuracy level of CNN 68.49% while the ResNet was 81.23%, in the CNN loss test 32.57% while the ResNet was 12.59%. In the Scenario of the application of Learning Rate 0.0005 also the ResNet is better than CNN, in the CNN Learning Rate Application Scenario producing an accuracy value of 68.49% while the ResNet adopts an accuracy value of 81.84% and on the CNN loss value of 20.14 while the 10.2% Resnet has a higher level of accuracy has a higher accuracy rate Compared to CNN and the application of learning rates it also affects in building a more accurate model in the case study of Retinopathy Diabetes.
SISTEM DATA TERDISTRIBUSI UNTUK PENGELOLAAN DATA DONOR DARAH PADA UTD PMI KABUPATEN SUMBAWA MENGGUNAKAN METODE REPLICATION Armelia Putrianjani; Yuliadi Yuliadi; Juniardi Akhir Putra; Farida Idifitriani
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 2 (2024): EDISI 20
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i2.4110

Abstract

The Indonesian Red Cross (PMI) is an institution or organization in charge of organizing, managing, and facilitating blood donor activities, from collection to distribution. Based on the results of interviews with officers of the Sumbawa Regency PMI blood transfusion unit, the blood donor data management process has previously used the system, but it has not been maximized, therefore researchers created a distributed data system with the replication method. The system is built using unified modeling language (UML), laravel as a framework with PHP programming language, and MySQL as a database. The research method used in this study is a qualitative method with observation, interview, and literature study stages, while the software development method uses Extreme Programming. This Extreme Programming method has advantages that allow the development team to create simple code so that it can be improved at any time. This research produces an integrated web-based system, with features of blood donor data, blood stocks, blood requests, and blood request reports.
PENERAPAN VLAN DALAM MITIGASI SERANGAN DDOS PADA OLT HSGQ DAN ROUTER MIKROTIK Ahmad Tantoni; Mohammad Taufan Asri Zaen; Yuliadi Yuliadi
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 6 No 2 (2024): EDISI 20
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v6i2.4137

Abstract

DDoS is a threat that often disrupts server availability resulting in network devices becoming powerless. In Indonesia, it was recorded that the results of anomaly detection obtained the source IP address and destination IP address, with the country detected as a threat actor who has the potential to use the IP address as a proxy to disguise the real IP address of the threat actor being the first country in Indonesia with 124 million sources of anomalies. OLT and routers are important components in computer network infrastructure by managing data traffic between network devices and users. VLAN is a technology for separating a logical network from a physical network that can help secure the network against DDoS attacks. By using VLANs, it is possible to group different traffic to mitigate the impact of DDoS attacks and protect the network infrastructure. VLAN implementation in mitigating DDoS attacks on HSGQ OLTs and Mikrotik Routers faces technical challenges such as proper configuration, traffic monitoring, and security management. This research is expected to provide insight for network professionals and security researchers in order to improve the security of computer network infrastructure
Application of the Support Vector Machine (SVM) Algorithm for the Diagnosis of Diabetic Retinopathy Yuliadi; Fadhli Dzil Ikram; M. Julkarnain; Fahri Hamdan; Halid Nuryadi
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3436

Abstract

Diabetic Retinopathy (DR) is a disease whose main cause is complications of diabetes mellitus. High levels of sugar in the blood (glucose) are caused by the pancreas' inability to produce insulin. Prevention of diabetic retinopathy and blindness by carrying out examinations at an early stage and doing them regularly. Currently, doctors still carry out examinations manually so they are prone to errors in examinations. This research aims to build an application to diagnose Diabetic Retinopathy in order to facilitate the work of the medical team and doctors at the eye clinic. In the application creation process, MATLAB is used, while feature extraction uses GLCM and for classification, SVM is used. The results of the research are that doctors and medical teams are helped in carrying out manual patient diagnoses and reduce the occurrence of human error.
SISTEM INFORMASI PELAYANAN PUBLIK DESA SATU PINTU BERBASIS WEB Mutiara, Linda; -, Yuliadi; Mulyanto, Yudi; -, Rodianto; Ikram, Fadhli Dzil; Ismiyarti, Wilia; Rosika, Herliana
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 7 No. 1 (2024): Jurnal Teknologi dan Ilmu Komputer Prima (JUTIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v7i1.5126

Abstract

The Web-Based One-Stop Village Public Service Information System (Case Study: Senawang Village Office, Orong Telu District) was completed using Visual Studio Code, Codeigniter programming language, and MySQL database. The research method used is qualitative, and the software development method, Prototype method, and system design method use four Unified Modeling Language (UML) diagrams consisting of use case diagrams, activity diagrams, sequence diagrams, and class diagrams. It has passed the testing process using Black Box. It has successfully provided information to users (Community) regarding services, namely birth report data, death reports, registration of migrants, applications for moving residents, and applications for certificates of incapacity. It can make complaints on the website link of the Senawang Village Office, Orong Telu District, Sumbawa Regency, West Nusa Tenggara.
Co-Authors -, Ekastini Abdul Gofur Ahmad Farijan Ahmad Tantoni Aldrin Ali Akbar Ali Topan, Paris Alpi Sahrin Arif Annursida Armelia Putrianjani Asih Purwana Sari Bagus, Muhammad Bahtiar, Syamsul Chaerun Hadiyan Syah Chalvin Bebby Febrianto Dedy Sofian Dedy Sofian MZ Dedy Sofyan MZ Dery Sofya, Noura Dimas Wiryatari Doddy Teguh Yuwono Dzil Ikram, Fadhli Ekastini Ekastini Ekastini Ekastini Eri Sasmita Susanto Erwin Mardinata Erwin Martadinata Fadhli Dzil Ikram Fahri Hamdan Fahri Hamdani Farida Idifitriani Furdi Adrisah Halid Nuryadi Hammid Muammar Robbani Al Faruq Hanif Priabdul Aziz Hanny Hafiar Herfandi Herfandi Hermanto, Koko Herpan Syafil Harahap I Gusti Putu Muliarta Aryana I Wayan Joniarta Idham Idham Ika Mustika Ikram, Fadhli Dzil Imam Munandar Ismiyarti, Wilia Juniardi Akhir Putra Khairunnazri Lalu Mutawalli M. Julkarnaen M. Julkarnain Mahsun Malik Ibrahim Marzuki Adami Marzuki Adami Mega Tazayyun Mietra Anggara Mietra Anggara Mohammad Taufan Asri Zaen Muhammad Azzam Al Fauzie Muhammad Irwan Suryadi Muhammad Shafwan Mukhtar Hadi Mulyanto, Yudi Mustakim Mustakim Mustakim Musthofa Luthfi Al Manfaluty Mutiara, Linda Nabila Oper Nawassyarif Nora Dery Sofya Nora Dery Sofya Nora Dery Sofya Nur Imansyah Nurmayani, Heni Nurul Maulida Solihat Nuryadi, Halid Pujiwalida, Isinaning Puspita Rama Nopiana Putry Chaerunnisa Mudmainna Putu Rani Susanthi Rahmat Fauzi Rio Rahmat Yusran Robbani, Farisan Rodi anto Rodianto, Rodianto Rosika, Herliana Rusdan Rusdan Rusdan Rusdan Rusdan Ryan Suarantalla Sabri Balafif Safwan Sihab Sansul Yasmi Shinta Esabella Siti Patimah Az-zaen Sofya, Nora Dery Sonia Sonia Sukarna, Royan Habibie Sultan Naufal Abdillah Suratman Suratman Tis Asy Aria W, Yunanri Wahyu Ramadhan Wilia Ismiyarti Yasinta Bella Fitriana Yudi Mulyanto Yudi Pratama Yulian Ansori Yunanri W Yunanri. W