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All Journal REKAYASA JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) IJISTECH (International Journal Of Information System & Technology) Indonesian Journal of Applied Informatics Industri Inovatif : Jurnal Teknik Industri Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika JATI (Jurnal Mahasiswa Teknik Informatika) SKANIKA: Sistem Komputer dan Teknik Informatika IJISTECH Jurnal Informatika Teknologi dan Sains (Jinteks) Prosiding Seminar Nasional Pengabdian Masyarakat The Journal of Enhanced Studies in Informatics and Computer Applications International Journal of Computer Science and Information Technology
Joseph Dedy Irawan
Institut Teknologi Nasional Malang
Agriculture, Biological Sciences & Forestry Arts Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Physics Social Sciences

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DESIGN OF A TRAFFIC RATE PRIORITY NETWORK CONNECTION MANAGEMENT SYSTEM ON A COMPUTER NETWORK Hafid Zulkarnain; Joseph Dedy Irawan; Renaldi Primaswara Prasetya
International Journal of Computer Science and Information Technology Vol. 1 No. 1 (2024): IJCOMIT Vol 1 No 1
Publisher : Computer Science Department, Malang National Institute of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/ijcomit.v1i1.6720

Abstract

The practicum laboratory is one of the university facilities that accompany your studies, where students can practice their understanding of learning concepts through tests or practical exercises. In this sense the role of the laboratory is very important because the laboratory is a center for teaching and learning, where lectures are used for experiments, research or research. For this reason, in order to expedite the teaching and learning process, adequate facilities are needed in the laboratory, one of which is the Network. However, there are a number of problems that occur where when students download, zoom browsing activity becomes slow. Of course this will make the teaching and learning process less efficient. Based on the problems above, the author wants to conduct research by providing different bandwidth allocations and managing user bandwidth based on priority. The mangle method is used to mark data packets based on port, protocol, src and etc. addresses, and the simple queue method is used to set the amount of bandwidth and priority for each user. From the results of functional testing or research, it can be concluded that the results of applying the mangle method are used to mark a packet that will be restricted based on the configured dst port and the Simple Queue method as a determinant for setting the priority given to each user so that when the user uses zoom access, global, games and others can use the internet network smoothly without internet interference because traffic rate priority and bandwidth management has been carried out.
IOT IMPLEMENTATION IN SMART BUILDING USING THE FUZZY METHOD Joseph Dedy Irawan; Thomas Priyasmanu; Renaldi P. P; Sentot Achmadi
International Journal of Computer Science and Information Technology Vol. 1 No. 2 (2024): IJCOMIT Vol 1 No 2
Publisher : Computer Science Department, Malang National Institute of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/ijcomit.v1i2.12151

Abstract

With the advancement of internet technology, it is very easy for humans in the field of information, one implementation that utilizes this technology is the internet of things, where this technology connects electronic devices with internet technology, so that the equipment can be monitored and controlled remotely, one of the advantages of technology In this case, all electronic devices can be modified to make it easier for us to monitor and control according to our needs. By combining the fuzzy logic method, electronic devices that are connected to the internet will become smarter, because the electronic equipment can automatically adjust its condition according to the needs of its owner. In this research, the combination of internet of things and fuzzy logic technology will be implemented in smart buildings, with the hope that the condition of the building will run automatically, depending on the natural conditions that occur
IMPLEMENTATION OF HYBRID VLAN NETWORK CONFIGURATION Michael Jordan; Joseph Dedy Irawan; Yohanes Yudha Saputra Bangko; Maqila Sulaiman Abu Zakaria
International Journal of Computer Science and Information Technology Vol. 1 No. 2 (2024): IJCOMIT Vol 1 No 2
Publisher : Computer Science Department, Malang National Institute of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/ijcomit.v1i2.12319

Abstract

The need for internet access has become a necessity provided by all agencies, where in the research conducted on campus 2 of the National Institute of Technology Malang, where the VLANs distributed are approximately 25, so that in distributing internet access requires good network management, where by implementing Hybrid VLAN the IP distribution process is easier and increases the efficiency of network management, by using Hybrid VLAN, the trunking process and IP access are carried out on the router side, From the results of the Implementation of Hybrid VLAN Network Configuration on the ITN Malang Infrastructure, it can be concluded as follows: The implementation of Hybrid VLAN has succeeded in increasing network efficiency by separating network traffic based on function and department, thereby reducing traffic density and improving overall performance, By separating the network into several VLANs, the level of isolation between various network segments has increased, which has an impact on increasing security and reducing the risk of unauthorized access, by implementing a Hybrid VLAN Network, network administrators can manage bandwidth according to the needs of the VLAN segment easily and quickly
DEVELOPMENT OF INFORMATION SYSTEM FOR BOARDING HOUSES Betty Dewi Puspasari; Joseph Dedy Irawan; Ridho Arif Wicaksono; Dimas Rizky Pratama; Ahmad Bahrul Ilmi
International Journal of Computer Science and Information Technology Vol. 2 No. 1 (2025): IJCOMIT Vol 2 No 1
Publisher : Computer Science Department, Malang National Institute of Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/ijcomit.v2i1.13659

Abstract

The management of boarding houses through manual bookkeeping still faces many challenges, such as recording errors, difficulty in monitoring room availability, and inefficiencies in communication between the manager and tenants. boarding houses face these issues, which can potentially lead to conflicts due to misinformation regarding billing and room status.To address these problems, this study aims to develop a web-based boarding house management information system integrated with WhatsApp as a billing notification tool. This system is designed to reduce recording errors, improve room management efficiency, and facilitate communication between tenants and the boarding house manager.With the implementation of this system, it is expected that boarding house managers can easily access tenant data, monitor room status in real-time, and automate the billing process for tenants. The expected outcome of this system development is improved efficiency in boarding house management, increased data recording accuracy, and ease of monitoring and communication
Perancangan Prototipe Smart Locker Mahasiswa Berbasis ESP32-CAM Dengan Sistem Keamanan QR Code Authentication Menggunakan Decision Tree Roy Mahendra Pedro Pratama; Joseph Dedy Irawan; Suryo Adi Wibowo
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 9, No 1 (2026): Januari
Publisher : Institut Teknologi Gamalama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v9i1.411

Abstract

Abstrak: Perkembangan teknologi Internet of Things (IoT) mendorong terciptanya sistem keamanan yang lebih efisien, termasuk pada fasilitas penyimpanan barang di lingkungan kampus. Meskipun fasilitas loker sudah tersedia, banyak kampus masih menggunakan loker konvensional dengan kunci fisik. Penggunaannya tidak efisien karena mahasiswa harus menemui staf kampus untuk meminjam kunci, serta rawan menimbulkan masalah seperti kehilangan, kerusakan dan duplikasi kunci. Selain itu, sistem keamanannya juga cenderung lemah karena hanya mengandalkan kunci manual atau RFID sederhana. Sistem loker konvensional yang seperti ini tidak lagi memenuhi kebutuhan keamanan dan efisiensi di lingkungan akademik modern. Penelitian ini bertujuan untuk merancang prototipe Smart Locker Mahasiswa berbasis ESP32-CAM dengan sistem autentikasi QR Code menggunakan metode Decision Tree sebagai validasi akses pengguna. Metode penelitian meliputi perancangan perangkat keras, pengembangan perangkat lunak berbasis web untuk pembuatan QR Code, serta pengujian sistem menggunakan Blackbox Testing. Hasil pengujian menunjukkan bahwa proses pembacaan QR Code memiliki waktu rata-rata 0,729 detik, sedangkan respon ESP32 dalam membuka solenoid rata-rata 2,197 detik dengan tingkat keberhasilan 100%. Temuan ini membuktikan bahwa sistem bekerja dengan baik, cepat, dan akurat, serta mampu meningkatkan keamanan penyimpanan barang mahasiswa di lingkungan kampus.Kata kunci: Smart Locker, ESP32-CAM, QR Code, Decision TreeAbstract: The development of Internet of Things (IoT) technology encourages the creation of more efficient security systems, including in storage facilities on campus. Although locker facilities are available, many campuses still use conventional lockers with physical keys. Their use is inefficient because students must meet with campus staff to borrow keys, and they are prone to problems such as loss, damage, and duplication of keys. In addition, the security system also tends to be weak because it only relies on manual keys or simple RFID. Conventional locker systems like this no longer meet the security and efficiency needs in a modern academic environment. This study aims to design a prototype of an ESP32-CAM-based Student Smart Locker with a QR Code authentication system using the Decision Tree method as user access validation. The research methods include hardware design, web-based software development for QR Code generation, and system testing using Blackbox Testing. The test results show that the QR Code reading process has an average time of 0.729 seconds, while the ESP32 response in opening the solenoid takes an average of 2.197 seconds with a 100% success rate. These findings prove that the system works well, quickly and accurately, and is able to increase the security of storing student belongings on campus.Keywords: Smart Locker, ESP32-CAM, QR Code, Decision Tree
PENERAPAN K-MEANS CLUSTERING UNTUK IDENTIFIKASI KELEMAHAN SISWA PADA MATA PELAJARAN KEJURUAN DI SMK NEGERI 8 MALANG Ridho Arif Wicaksono; Joseph Dedy Irawan; Mira Orisa
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 6 (2025): JATI Vol. 9 No. 6
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i6.15436

Abstract

Keberhasilan siswa dalam mata pelajaran kejuruan di SMK Negeri 8 Malang merupakan faktor penting dalam mempersiapkan mereka menghadapi dunia kerja dan industri, namun saat ini belum tersedia sistem yang mampu mengelompokkan dan memprediksi tingkat kelemahan siswa secara objektif. Permasalahan utama yang dihadapi adalah ketergantungan Kepala Kompetensi Keahlian pada intuisi dan nilai akhir tanpa proses klasifikasi yang sistematis, sehingga intervensi terhadap siswa tidak tepat sasaran. Tujuan dari penelitan ini digunakan untuk mengembangkan sistem klasifikasi kelemahan belajar siswa menggunakan algoritma K-Means Clustering berdasarkan data akademik dan non-akademik, seperti nilai harian, proyek, ujian, dan kehadiran. Metode ini mengelompokkan siswa ke dalam tiga klaster, yaitu risiko kelemahan tinggi, sedang, dan rendah, berdasarkan kemiripan data yang dianalisis. Hasil dari penelitian ini menunjukan bahwa sebanyak 2% siswa masuk kedalam risiko kelemahan tingkat tinggi, 40% siswa masuk kedalam risiko kelemahan tingkat menengah, dan 57% siswa masuk kedalam risiko kelemahan tingkat rendah. Hasil dari sistem menunjukan bahwa sistem mampu mengelompokan siswa kedalam 3 buah cluster, berdasarkan 5 mata pelajaran.
SISTEM REKOMENDASI KOSTUM COSPLAY MENGGUNAKAN METODE CONTENT BASED FILTERING: Alfin Ardiansyah; Joseph Dedy Irawan; Deddy Rudhistiar
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 6 (2025): JATI Vol. 9 No. 6
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i6.15433

Abstract

Cosplay, diambil dari gabungan kata "costume" dan "play", yang telah menjadi fenomena budaya populer yang berkembang pesat di Indonesia, seiring meningkatnya antusiasme terhadap anime, manga, dan game bergaya Jepang. Pertumbuhan signifikan industri anime secara global turut mendorong meningkatnya jumlah cosplayer di Indonesia dan memunculkan peluang usaha, salah satunya adalah penyewaan kostum cosplay. Namun, pencarian sewa kostum yang sesuai seringkali menjadi tantangan tersendiri bagi Cosplayer. Menjawab kebutuhan ini, dikembangkan platform Ruangcosplay, sebuah website untuk menjadi penghubung cosplayer dengan penyedia jasa sewa kostum secara lebih efektif. Pada Penelitian kali ditujukan untuk membuat dan mengimplementasikan aplikasi sistem rekomendasi kostum Cosplay dengan algoritma Content-Based Filtering (CBF) untuk menghasilkan rekomendasi yang relevan dengan kebiasaan user. Hasil dari penelitian mendapatkan hasil rekomendasi yang dihasilkan dari percobaan menggunakan 21 dokumen pembanding dan 1 dokumen Q dengan nilai cosine 0,975 yaitu Sewa Cosplay Kanao Tsuyuri Maker serta pengujian dengan metode blackbox testing dengan hasil yang sesuai harapan mengujikan 10 fitur yang ada. Berdasarkan penelitian ini diharapkan dapat mempermudah Cosplayer dalam menemukan kostum sesuai kebutuhan, serta membantu pemilik rental (Cosrent) menjangkau target pasar yang lebih tepat. Dengan hadirnya fitur rekomendasi yang tepat guna, platform RuangCosplay tidak hanya menjadi media pencarian kostum, tetapi juga sebagai solusi digital inovatif dalam mendukung perkembangan industri Cosplay di Indonesia.
OTOMATISASI BUDIDAYA ULAT JERMAN MENGGUNAKAN INTERNET OF THINGS Sixtus Yoebel Augusto; Joseph Dedy Irawan; Suryo Adi Wibowo
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 6 (2025): JATI Vol. 9 No. 6
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i6.15484

Abstract

Budidaya ulat Jerman memiliki potensi besar sebagai sumber protein alternatif, namun proses pemeliharaannya masih banyak dilakukan secara manual, sehingga kurang efisien dan rentan terhadap kesalahan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem otomatisasi budidaya ulat Jerman berbasis Internet of Things (IoT) dengan pendekatan logika fuzzy Tsukamoto. Sistem ini mengandalkan beberapa sensor, yaitu DHT22 untuk memantau suhu dan kelembaban, MQ135 untuk mendeteksi kualitas udara (konsentrasi gas amonia), serta Load Cell untuk mengukur berat pakan. Berdasarkan data dari sensor, sistem secara otomatis mengontrol perangkat aktuator seperti kipas, mist maker, dan lampu untuk menjaga kondisi lingkungan yang optimal bagi pertumbuhan ulat Jerman. Metode fuzzy Tsukamoto digunakan untuk mengambil keputusan yang lebih fleksibel dan akurat berdasarkan nilai-nilai input yang bersifat kontinu. Sistem ini juga terhubung ke platform IoT untuk pemantauan jarak jauh secara real-time melalui aplikasi Telegram. Hasil pengujian menunjukkan bahwa sistem mampu merespons perubahan lingkungan secara adaptif dan menjaga kondisi ideal kandang ulat dengan tingkat keakuratan kontrol yang baik. Dengan demikian, sistem ini diharapkan dapat meningkatkan efisiensi dan produktivitas dalam budidaya ulat Jerman secara berkelanjutan.
Implementasi Peramalan Penjualan Nasi Kotak Este Catering Berbasis Web dengan Metode Double Exponential Smoothing Ludytio Akhsanul In'am; Joseph Dedy Irawan; Suryo Adi Wibowo
IJAI (Indonesian Journal of Applied Informatics) Vol 9, No 1 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v9i1.95162

Abstract

Abstrak:Penelitian ini bertujuan untuk menghadirkan solusi teknologi informasi yang inovatif dalam bentuk peramalan penjualan nasi kotak eSTe Catering dengan menggunakan metode Double Exponential Smoothing berbasis website, guna meningkatkan efisiensi dan efektivitas dalam melakukan peramalan penjualan pada usaha eSTe Catering. Diharapkan melalui penelitian ini, penjualan lebih terukur dan pemilik usaha mudah untuk memonitoring penjualan dalam usaha catering nasi kotaknya. Melalui metode Double Exponential Smoothing, peramalan penjualan nasi kotak dilakukan perhitngan peramalan dalam perbulan, yang membantu meningkatkan efektivitas penjualan. Pengujian menggunakan metode blackbox menunjukkan bahwa sistem berfungsi sesuai ekspektasi dan dapat diandalkan dalam meminimalisir error serta meningkatkan kualitas peramalan. Hasil penelitian ini menunjukkan bahwa aplikasi berbasis web ini efektif dalam mendukung peramalan nasi kotak dan disarankan untuk dikembangkan lebih lanjut menjadi aplikasi berbasis mobile untuk meningkatkan fleksibilitas, aksesibilitas dan efisiensi.===================================================Abstract:This research aims to present innovative information technology solutions in the form of forecasting sales of eSTe Catering boxed rice using the website-based Double Exponential Smoothing method, in order to increase efficiency and effectiveness in forecasting sales at eSTe Catering business. It is hoped that through this research, sales are more measurable and business owners are easy to monitor sales in their boxed rice catering business. Through the Double Exponential Smoothing method, forecasting of boxed rice sales is done monthly, which helps increase sales effectiveness. Testing using the blackbox method shows that the system functions as expected and is reliable in minimizing errors and improving forecasting quality. The results of this study indicate that this web-based application is effective in supporting the forecasting of boxed rice and it is recommended to be further developed into a mobile-based application to improve flexibility, accessibility and efficiency.
ANALISIS SENTIMEN OPINI PUBLIK KENAIKAN GAJI DPR DI MEDIA SOSIAL DENGAN SVM DAN NAIVE BAYES I Made Paundra D.W Wisesa; Joseph Dedy Irawan; Eko Heri Susanto
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6899

Abstract

Isu mengenai kenaikan gaji anggota Dewan Perwakilan Rakyat (DPR) menimbulkan beragam reaksi di platform media sosial, terutama di X (Twitter). Berdasarkan hal tersebut, penelitian ini berupaya menganalisis arah opini publik menggunakan pendekatan machine learning. Peneliti mencoba dua metode yaitu SVM dan Naive Bayes untuk melihat mana yang paling akurat dalam menebak perasaan orang di balik tulisan mereka, apakah senang, netral, atau marah. Informasi diambil langsung dari unggahan pengguna internet kemudian dibersihkan dengan menyederhanakan bahasa dan menghapus bagian yang tidak relevan. Kata diberi bobot memakai metode TF-IDF untuk membedakan jenis opini. Hasil uji menunjukkan bahwa SVM memiliki akurasi 77,62%, presisi 78,80%, dan mampu menemukan 66,32% dari opini yang benar. Sementara itu, Naive Bayes memperoleh akurasi 76,00%, presisi 81,64%, dan recall 63,46%. Secara keseluruhan, SVM sedikit lebih unggul dalam memahami berbagai pendapat masyarakat Indonesia di media sosial.
Co-Authors Ahmad Bahrul Ilmi Ahmad Fahrudi Setiawan AHMAD FAISOL Alfin Ardiansyah Betty Dewi Puspasari Deddy Rudhistiar Dhayal Gustopo Dimas Rizky Pratama Eko Heri Susanto Emmalia Adriantantri F. Yudi Limpraptono Faisol , Ahmad Hafid Zulkarnain Hirarki Ardi Pratama I Made Paundra D.W Wisesa Ida Bagus Suardika Iftitah Ruwana Indyastuti, Desi Ivano, Kevin Majesta Kahpi Harhab Ludytio Akhsanul In'am M. Zainuri Hasan Maqila Sulaiman Abu Zakaria Marshella Angela Merici Poa Michael Jordan Mira Orisa Muhammad Farhan Alauddin Munasih Primaswara Prasetya , Renaldi Renaldi P. P Renaldi P. P. Renaldi Primaswara Prasetya Renaldi Primaswara Prasetya Ridho Arif Wicaksono Ridho Arif Wicaksono Rivaldi, Arrealdo Roy Mahendra Pedro Pratama Sentot Achmadi Sentot Achmadi Sixtus Yoebel Augusto Sonny Prasetio Sony Prasetio Sri Indriani Sumanto Suryo Adi Suryo Adi Wibowo Suryo Adi Wibowo Susanto, Eko Heri Thomas Priyasmanu Thomas Priyasmanu Vikar Teguh Yudistira Yohanes Yudha Saputra Bangko Yosep Agus Pranoto Yudi Arta Trirensila