Garuda - Garba Rujukan Digital

PENERAPAN ALGORITMA LINEAR SEARCH DI APLIKASI SECONDHAND Agustin, Nely Dwi; Cobantoro, Adi Fajaryanto; Setyawan, Mohammad Bhanu; Nurfitri, Khoiru
NERO (Networking Engineering Research Operation) Vol 8, No 2 (2023): Nero - 2023
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v8i2.21089

Inflation in Indonesia has been increasing year by year. The high inflation rate has an impact on the increasing production costs of finished goods, resulting in higher prices which this is not balanced by good sales of new products. This has led to a plan to create a secondhand e-commerce platform. This research aims to implement a search feature that facilitates the search for used goods based on keywords. The implementation process involves the use of the Linear/Sequential Search algorithm in the JavaScript programming language and PostgreSQL as the data storage used. In practice, when the keyword matches the data in the database, the search results will be displayed. If there is no data match, the search will not find any relevant products. The result of this research is the availability of the SecondHand application, with a search feature using the Linear/Sequential Search algorithm, which helps facilitate the interaction between sellers and buyers. The results of white box and postman/grey box testing show that the search feature and its functions work well, producing valid outputs, and have a short execution time of around 613.5 ms or 0.6135 seconds based on the results of five tests.Keywords : Linear/Sequential Search Algorithm, Used Goods, SecondHand.

KLASIFIKASI CITRA PNEUMONIA MENGGUNAKAN ARSITEKTUR CONVOLUTIONAL NEURAL NETWORK (CNN) Pratama, Aan Rachmatullah; Cobantoro, Adi Fajaryanto
NERO (Networking Engineering Research Operation) Vol 8, No 2 (2023): Nero - 2023
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v8i2.18992

Pneumonia adalah infeksi atau peradangan akut pada bagian jaringan paru yang disebabkan oleh berbagai mikroorganisme seperti bakteri, virus, parasit, jamur, kerusakan fisik paru ataupun bahan kimia. Pneumonia dapat menyerang orang dewasa maupun anak-anak, banyak kasus yang terjadi, terutama pada Negara berkembang dimana kebanyakan mengandalkan energi yang berpontensi menyebabkan polusi udara yang akan berdampak pada pernafasan manusia. Klasifikasi citra Pneumonia dari hasil rontgen dengan algoritma Convolutional Neural Network yang memiliki metode alur pemecahan masalah yang menyerupai pola pikir manusia. Pada program ini melakukan penelitian tentang membandingkan performa dari kedua model arsitektur Convolutional Neural Network arsitektur AlexNet dengan GoogleNet. Pada hasil confusion matrix mendapatkan hasil tingkat akurasi 0,79 untuk arsitektur Alexnet dan untuk arsitektur GoogLeNet mendapatkan hasil akurasi 0,78. Umumnya akurasi dari GoogLeNet lebih tinggi namun pada penelitian ini AlexNet mendapatkan akurasi yang lebih tinggi, namun GoogLeNet memiliki loss yang lebih rendah, loss dan Accuracy diperngaruhi callback yang didalamanya terdapat epoch. Pada hasil implementasi kedua model dari web app menggunakan flask dan Google colab, dari jumlah masukan 16 citra 15 prediksi dilakukan benar dan 1 salah mendapatkan hasil akurasi 0,94.Kata kunci : AlexNet, CNN, GoogLeNet, Pneumonia

PENGENALAN APLIKASI OBYEK WISATA TELAGA NGEBEL BERBASIS VIRTUAL REALITY DAN ALGORTIMA GREEDY Bhanu Setyawan, Mohammad; Permana Putra, Angga Dian; Sussolaikah, Kelik; Zulkarnain, Ismail Abdurrozaq; Cobantoro, Adi Fajaryanto
Jurnal Media Elektro Vol 13 No 1 (2024): April 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i1.15364

Ngebel Lake in Ponorogo Regency is a tourist destination that is usually visited by many local or non-local tourists. There is great potential to be developed again to introduce this tourist attraction to outside the region in order to attract tourists. Telaga Ngebel requires the main role of promotion and publication out, so it is very necessary for a technology that is able to realize the equal introduction of Telaga Ngebel attractions and is able to describe tourist objects in real terms. The solution is to utilize Virtual Reality technology that can package the potential of tourist attractions in an attractive, attractive and contemporary manner. The technology displays Telaga Ngebel attractions in 3600 with a 3-dimensional object model and the nearest wahan search feature using the Greedy Algorithm with a virtual reality display. In its preparation using SDLC (Software Development Life Cycle). The final result of making this application in the form of Virtual Reality Telaga Ngebel and also games using the greedy algorithm used as an implementation of games that present the charm of Telaga Ngebel. Based on the results of usability test research with the SUS method obtained a score of 51 or in adjective OK criteria.

IMPLENMENTASI METODE APRIORI DALAM PENGELEMPOKAN KELAS SANTRI BARU: Studi Kasus Pondok Pensatren Salafiyah Hudatul Muna Faiz Giandra, Muhammad; Cobantoro, Adi Fajaryanto; Nurfitri, Khoiru
JI-Tech Vol 20 No 2 (2024): Jurnal JI-Tech
Publisher : Sekolah Tinggi Teknologi Informasi NIIT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55864/jitech.v20i2.312

Pondok Pesantren Salafiyah Hudatul Muna Ponorogo menghadapi tantangan dalam pengelompokan santri baru akibat ambiguitas kriteria seleksi. Penelitian ini bertujuan mengembangkan sistem berbasis metode Apriori untuk mengatasi permasalahan tersebut. Metode Apriori diterapkan untuk menganalisis pola dan hubungan antar data santri, menggunakan framework Laravel dan database SQLite. Sistem ini dirancang dengan antarmuka yang intuitif dan responsif, memudahkan pengelolaan data santri. Normalisasi Min-Max digunakan untuk mengubah data ke dalam rentang konsisten (0-1), meningkatkan akurasi analisis. Hasil pengujian menunjukkan tingkat support dan confidence yang tinggi pada itemset yang diuji, serta memastikan keandalan fungsi melalui pengujian white box. Pengelompokan dilakukan secara proporsional untuk 44 santri menjadi tiga kelas: Kelas A, B, dan C, dengan proporsi masing-masing 33%. Jika tersedia data nilai ujian dalam rentang 0-100, kriteria pengelompokan dapat ditentukan berdasarkan nilai, yaitu Kelas A (80-100), Kelas B (60-79), dan Kelas C (0-59). Penelitian ini memberikan kontribusi signifikan dalam meningkatkan efisiensi dan kejelasan pengelompokan santri baru di Pondok Pesantren Salafiyah Hudatul Muna.

Implementation of RSA Algorithm For Securing Patient Data using QR Code Technology Cobantoro, Adi Fajaryanto; Wicahyono, Fadhlullah Yoga; Zulkarnain, Ismail Abdurrozzaq
NERO (Networking Engineering Research Operation) Vol 10, No 1 (2025): Nero - 2025
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v10i1.30052

The advancement of digital technology demands improved security systems, especially in protecting users’ personal data. One sector that heavily relies on data confidentiality is the healthcare sector, where patient information must be safeguarded from potential leaks and misuse. This study aims to implement the RSA (Rivest-Shamir-Adleman) cryptographic algorithm in the patient registration system at the dental clinic of Regunawati Cahyaningsih. RSA was chosen for its asymmetric nature and its ability to ensure data security through the use of public and private key pairs. Additionally, this study integrates QR Code technology as a medium for accessing encrypted data, streamlining and accelerating the data authorization process. The encryption process is applied to important information such as NIK, name, address, phone number, and medical records before being stored in the database. Based on the testing results, the system demonstrated excellent performance in terms of functionality, algorithm accuracy, and display speed. Whitebox testing confirmed the accuracy of the RSA algorithm implementation with 100% accuracy. Performance testing using the Largest Contentful Paint (LCP) metric showed very fast load times, ranging from 0.5 to 2.3 milliseconds, with a performance score of 100, making the system highly responsive and optimal in terms of user experience. Therefore, RSA is proven to be effective in enhancing patient data security and maintaining confidentiality within a web-based clinical information system.Keywords: Rivest-Shamir-Adleman Algorithm, Patient Data Security, Whitebox Testing, QR Code

Engaging students in a collaborative and reflective reading material development: participatory action research Nimasari, Elok Putri; Harmanto, Bambang; Bonavidi, Rinjani; Cobantoro, Adi Fajaryanto; Elvina Dwi, Cahyani; Velrinda Fahza'a, Risty
JEES (Journal of English Educators Society) Vol 10 No 2 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jees.v10i2.1948

Grounded in Halliday’s Systemic Functional Linguistics and Freire’s Critical Pedagogy, the research aims to develop a transformative digital reading assessment model that embeds Muhammadiyah values and promotes critical literacy. Conducted as a four-month participatory action research project at a Muhammadiyah higher education institution in Indonesia, this study engaged 30 student participants and several community figures. Data were collected through classroom observations, focus group discussions, and interviews, and were analyzed using critical discourse analysis based on SFL's meta functions and Freirean principles. Findings reveal three key themes: first, students interpreted texts as ideological constructs by identifying field, tenor, and mode; second, students co-constructed culturally situated reading materials through dialogic engagement with community members; and third, students demonstrated critical engagement with multimodal digital texts by analyzing how visual and linguistic elements shaped meaning. This study practically contributes a contextually grounded model for reading assessment, showing how digital platforms can serve as ethical spaces for language learning that is both critical and culturally embedded.

Implementation of Bot Telegram as Broadcasting Media Classification Results of Convolutional Neural Network (CNN) Images of Rice Plant Leaves Cobantoro, Adi Fajaryanto; Fauzan Masykur; Rizqi Rosyadi, Mohammad
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1976

Rice plants play an important role in the life of the Indonesian people because rice is the raw material for rice as a staple food. The rice production process does not rule out the possibility of interference by pests and diseases resulting in losses that cause crop failure. Meanwhile, pests on rice plants can be caused by various types, namely types of fungi (leafblast, hispa, brownspot) and types of nuisance animals. In this research, it will be carried out how to classify the image of rice plant leaves using the deep learning Convolutional Neural Network (CNN) algorithm, then the results of the classification are sent to users by utilizing the telegram chat application. The rice plant leaf image dataset is grouped into 4 groups (leafblast, brownspot, hispa and healthy). From several experiments it can be seen the results of system performance, namely the classification speed takes 30-60 seconds.

Rekayasa Aplikasi Eposal Menggunakan Algoritma Base64 Untuk Menyimpan Data Pengguna Cobantoro, Adi Fajaryanto; Setyawan, Mohammad Bhanu; Oktavianto, Hardiyan
Jurnal Komtika (Komputasi dan Informatika) Vol 7 No 1 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v7i1.8711

E-commerce merupakan kegiatan jual beli yang menggunakan media internet. Kerap ditemukan adanya data pribadi pelanggan yang bersifat rahasia seperti nama lengkap, alamat dan nomor telepon tersimpan pada database E-commerce. Selain itu data-data credential lain juga sering kali bocor pada aplikasi berbasis internet. Kebocoran data dapat disebab oleh, konfigurasi perangkat lunak yang salah, social engineering, Recycled Passwords, Physical Theft of Sensitive Devices, Software Vulnerabilities, dan Use of Default Passwords. Banyak kasus kebocoran data di Indonesia disebabkan oleh konfigurasi perangkat lunak yang salah, sehingga untuk mengamankan data harus memiliki keahlian dibidang keamanan. Salah satu langkah pencegahan kebocoran data adalah Encrypt All Data. Yang dimaksud Encrypt All Data disini adalah mengenkripsi semua data yang ada di dalam database. Metode enkripsi tersebut salah satunya adalah Algoritma Base64. Algoritma Base64 merupakan algoritma yang menggunakan kode ASCII dalam proses encoding maupun decodingnya. Pada proses Enkripsi dan Dekripsi, Algoritma Base64 menggunakan dua buah tabel bantu yaitu tabel ASCII dan tabel index Base64. Pada tahap awal dilakukan proses perubahan kata menjadi kode ASCII. Tahap kedua, kode ASCII tersebut akan diubah ke dalam kode biner 8bit. Tahap ketiga, kode biner 8bit dibagi menjadi kode biner 6 bit. Tahap keempat, blok-blok tersebut dikembalikan lagi ke bentuk desimal, kemudian disesuaikan dengan tabel Index Base64. Sedangkan untuk proses dekripsi, merupakan kebalikan dari proses enkripsi dengan proses yang sama. Tahap kedua, dilakukan perubahan dari kode Index ke dalam kode biner 6. Tahap ketiga, membuat kode biner 6bit menjadi kode biner 8bit. Tahap keempat yaitu mengubah biner 8 ke ASCII. Tahapan selanjutnya adalah mengubah kode ASCII ke kode desimal. Alur algoritma Base64 pad apenelitian ini akan diimplementasikan pada aplikasi Eposal di Toko Mina Alumunium. Proses implementasi ini dengan menambahkan satu fungsi “base64_encode” untuk setiap data yang masuk ke dalam database. Fungsi tersebut dimasukkan kedalam salah satu proses yang ada pada aplikasi Eposal yaitu proses simpan data konsumen Mina Alumunium. hasil yang diperoleh adalah bahwa setiap data yang dimasukkan ke dalam Eposal Mina Alumunium atau karakter yang diinputkan tersebut disimpan didalam database berbentuk enkripsi data acak. Sehingga jika ada penyusup yang berhasil masuk ke dalam database, penyusup tersebut tidak bisa membaca data yang ada di dalam database.

Implementation of RSA Algorithm For Securing Patient Data using QR Code Technology Cobantoro, Adi Fajaryanto; Wicahyono, Fadhlullah Yoga; Zulkarnain, Ismail Abdurrozzaq
NERO (Networking Engineering Research Operation) Vol 10, No 1 (2025): Nero - 2025
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v10i1.30052

The advancement of digital technology demands improved security systems, especially in protecting users’ personal data. One sector that heavily relies on data confidentiality is the healthcare sector, where patient information must be safeguarded from potential leaks and misuse. This study aims to implement the RSA (Rivest-Shamir-Adleman) cryptographic algorithm in the patient registration system at the dental clinic of Regunawati Cahyaningsih. RSA was chosen for its asymmetric nature and its ability to ensure data security through the use of public and private key pairs. Additionally, this study integrates QR Code technology as a medium for accessing encrypted data, streamlining and accelerating the data authorization process. The encryption process is applied to important information such as NIK, name, address, phone number, and medical records before being stored in the database. Based on the testing results, the system demonstrated excellent performance in terms of functionality, algorithm accuracy, and display speed. Whitebox testing confirmed the accuracy of the RSA algorithm implementation with 100% accuracy. Performance testing using the Largest Contentful Paint (LCP) metric showed very fast load times, ranging from 0.5 to 2.3 milliseconds, with a performance score of 100, making the system highly responsive and optimal in terms of user experience. Therefore, RSA is proven to be effective in enhancing patient data security and maintaining confidentiality within a web-based clinical information system.Keywords: Rivest-Shamir-Adleman Algorithm, Patient Data Security, Whitebox Testing, QR Code

ANALISIS OPTIMASI QUEUE TYPE DALAM MIKROTIK ROUTER OS V7.15 PADA JARINGAN INTERNET DI SMP NEGERI 6 SUDIMORO Fadila, Daras; Cobantoro, Adi Fajaryanto
MEKAR : Journal Information System and Computer Application Vol. 1 No. 1 (2025): AGUSTUS
Publisher : PT Mekar Research and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65475/6srksk04

Dalam era digital, akses internet yang cepat dan stabil menjadi kebutuhan utama, khususnya di lingkungan pendidikan. SMP Negeri 6 Sudimoro menghadapi kendala dalam pengelolaan trafik jaringan internet, yang berdampak pada performa pembelajaran daring. Penelitian ini bertujuan untuk menganalisis pengaruh penerapan algoritma antrian queue type CoDel, FQ-CoDel, dan CAKE pada Mikrotik RouterOS v7.15 terhadap kualitas layanan jaringan (Quality of Service/QoS), serta menentukan algoritma yang paling optimal. Metode yang digunakan adalah pendekatan kuantitatif dengan pengujian parameter QoS seperti throughput, delay, jitter, dan packet loss berdasarkan standar TIPHON. Data dikumpulkan menggunakan aplikasi Wireshark dan dikonfigurasi melalui Winbox. Hasil pengujian menunjukkan bahwa algoritma FQ-CoDel memberikan performa terbaik dengan nilai throughput tertinggi tanpa peningkatan jitter maupun delay. Berdasarkan hasil tersebut, FQ-CoDel direkomendasikan sebagai queue type yang paling efektif untuk diterapkan pada jaringan internet sekolah. Implementasi algoritma ini diharapkan dapat meningkatkan efisiensi jaringan serta mendukung kelancaran kegiatan belajar mengajar berbasis digital.

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