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Toyib, Rozali
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PERBANDINGAN METODE CNN DAN SVM UNTUK MENGKLASIFIKASI KEMATANGAN SERTA MENGUKUR KANDUNGAN VITAMIN C JERUK GERGA MENGGUNAKAN CITRA DIGITAL Anugrah Ilahi, Puja; Toyib, Rozali; Reswan, Yuza; Sonita, Anisya
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13829

Abstract

Masalah dalam panen buah jeruk Gerga sering kali terjadi akibat kesalahan dalam proses pemetikan yang hanya didasarkan pada warna serta estimasi semata, sehingga kualitas buah yang dihasilkan tidak sesuai dengan harapan konsumen. Jeruk Gerga memiliki kandungan vitamin C yang lebih tinggi dibandingkan dengan jeruk manis biasa, penting untuk melakukan pengukuran kadar vitamin C berdasarkan warna dan nilai Hue dengan menggunakan citra warna. Jaringan Saraf Konvolusional (CNN) dan Mesin Vektor Pendukung (SVM) memiliki peranan penting dalam klasifikasi gambar digital, terutama dalam menentukan tingkat kematangan buah dimana CNN adalah Metode Deep Learning yang mampu mengambil fitur visual yang kompleks, seperti tekstur serta pola warna yang relevan untuk mendeteksi kematangan buah, CNN memberikan hasil lebih akurat dalam klasifikasi kematangan buah jika dibandingkan dengan metode konvensional, berkat kemampuannya untuk mengenali pola non-linear dalam data visual. Temuan penelitian menunjukkan bahwa algoritma CNN menghasilkan akurasi yang lebih tinggi dibandingkan dengan SVM. CNN mencapai akurasi sebesar 98%, sementara SVM hanya mencapai akurasi 94%. Selain itu lebih efektif dalam mendeteksi pola warna dan tekstur buah, membuatnya lebih ampuh dalam klasifikasi kematangan Jeruk Gerga. Dengan demikian, pendekatan menggunakan CNN diusulkan sebagai metode yang lebih unggul untuk sistem klasifikasi otomatis berbasis gambar digital, khususnya di sektor pertanian dan teknologi pangan.
KLASIFIKASI CITRA DAUN HERBAL DENGAN KHASIATNYA UNTUK PENGOBATAN MENGGUNAKAN JARINGAN SYARAF TIRUAN (BACKPROPAGATION) Hidayat, Roki; Toyib, Rozali; Apridiansyah, Yovi; Reswan, Yuza
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 4 (2025): JATI Vol. 9 No. 4
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i4.13860

Abstract

Indonesia memilki kekayaan tanaman herbal yang melimpah, dengan ribuan jenis tanaman berkhasiat. Namun, pemanfaatannya belum maksimal karena keterbatasan informasi dan kesesulitan dalam mengidentifikasi jenis dan manfaat daun herbal secara manual. Untuk meningkatakan pemahaman serta mengoptimalan penggunaan obat herbal, Penelitian ini bertujuan untuk mengembangkan sistem yang dapat mengklasifikasikan gambar daun tanaman herbal berdasarkan khasiatnya untuk pengobatan menggunakan jaringan saraf tiruan backpropagation. Pada tahap awal penelitian ini, dilakukan pengumpulan dataset tanaman herbal dengan berbagai jenis. Dataset yang digunakan terdiri dari 100 citra dengan 10 jenis daun tanaman herbal yang dibagi mejadi dua data yaitu data pelatihan dan data pengujian, dengan pembagian 60% data digunakan untuk pelatihan, sementara 40% untuk pengujian. Saat proses klasifikasi melibatkan transformasii warna ke hsv, segmentasi citra serta ekstraksi ciri yang mengunakan parameter metriic dan eccentricity. Sistem di terapkan melalui aplikasi matlap dengan antarmuka pengguna grafis (GUI), sehingga mempermuda pengujian. Berdasarkan hasil model yang dikembangkan dan hasil evaluasi menunjukan bahwa metode dapat mengklafikasikan daun herbal dengan Tingkat akurasi total yang diperoleh mencapai 75,00%.
Automated Classification of Mungkus Fish Freshness Based on Eye and Gill Images Using the Naive Bayes Algorithm Darnita, Yulia; Toyib, Rozali; Sonita, Anisya; Putra, Andika
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.5146

Abstract

The problem of assessing the freshness of fish, especially Mungkus fish, is usually directed at several physical indicators, such as eye appearance, gill condition, meat quality, and odor. This traditional method is often considered inaccurate and requires certain expertise, therefore a more effective and objective method is needed to assess the freshness level of Mungkus fish, which in turn can provide benefits for both fishermen and the public in general. The solution to this problem by using the Naïve Bayes method in classifying the freshness level of Mungkus fish based on eye and gill images has proven to be a fairly efficient approach. The Naïve Bayes method itself is a simple but very effective algorithm in the field of machine learning, and operates based on Bayes' Theorem with the assumption that features are independent of each other. This method can be applied in the initial stage of classification by utilizing basic features taken from images of fish eyes and gills. Based on testing 30 new data sets, the clustering system demonstrated an accuracy rate of 66.67%, indicating that 20 data sets were correctly classified according to their actual conditions. On the other hand, 10 data sets, or 33.33%, could not be categorized correctly. Of the 30 old data sets tested, the system was able to correctly classify 19 (63.33%), while 11 (36.67%) still had errors in their classification predictions. Overall, the system successfully performed data clustering with 65% accuracy, with the remaining 35% still showing errors in the classification process.  
Analisis Performa, Overload dan Kerentanan Pada Website Basarnas Bengkulu Untuk Optimalisasi Kinerja Cheka, Julyane Kevin; Toyib, Rozali; Wijaya, Ardi; Muntahanah
Jurnal PROCESSOR Vol 20 No 2 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.2.2507

Abstract

The Bengkulu Basarnas website plays a crucial role in providing information related to search and rescue activities to the public. However, with the increasing number of visitors and the need for fast and accurate information, the site faces several challenges related to performance, overload, and vulnerabilities such as slow page load times, a website that tends to be unresponsive, and indications of defacement, which are certainly detrimental. Therefore, research was conducted with the aim of analyzing and providing recommendations for optimizing website performance. Implementing the Software Testing Life Cycle (STLC) method, a method used for software testing, and assisted by tools such as PageSpeed Insights, Apache Jmeter, and Acunetix, enabled the research to be conducted comprehensively and efficiently. The results obtained an average performance score of 81.87, which is included in the good range but still needs improvement. On overload, the research results were obtained, namely scenario 1 with 5 users (105 samples) there was 0.00% error, scenario 2 with 15 users (315 samples) there was 0.32% error, and scenario 3 with 45 users (945 samples) there was 1.90% which overall shows that website performance is still quite good at low loads but decreases at high loads. And on vulnerabilities, the research results were in the Low severity vulnerabilities category, which means there are minor vulnerabilities and are still relatively safe but still need to be followed up for prevention efforts. Based on these findings, it is recommended to pay attention to server infrastructure, optimize content or images, and improve and pay attention to system security in order to minimize vulnerabilities to prevent threats and attacks that can disrupt website performance.
Game Edukasi Bahasa Arab Untuk Anak Madrasah Iptidaiyah Berbasis Android Darnita, Yulia; Fransisco, Nochi Erfindo; Toyib, Rozali
Jurnal Informatika UPGRIS Vol 8, No 1: Juni 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i1.11097

Abstract

Materi Bahasa Arab cenderung sebagai momok yg nir disukai sang poly murid. fenomena misalnya ini membawa kesan bahwa bahasa Arab adalah bahasa yg sulit buat dipelajari dibandingkan bahasa asing lainnya, meskipun dalam dasarnya nir sesulit yg dibayangkan khususnya bagi orang Indonesia yg dominan beragama Islam dan metode yg dipakai pada pengajarannya dievaluasi kurang variatif sebagai akibatnya rasa jenuh kurang semangat akan gampang menghampiri murid yg mana bisa berdampak dalam turunnya minat murid terhadap pembelajaran Bahasa Arab. Cara menaikkan menumbuhkan semangat anak buat belajar bisa dilakukan menggunakan memakai permainan, permainan adalah galat satu media hiburan yg bisa menaruh rasa bahagia dalam anak menggunakan menerapkan Algoritma Bubble Sort yg berfungsi buat menaruh solusi yg sempurna pada menebak gambar yg dilengkapi menggunakan materi pendidikan Bahasa Arab. Hasil pengujianberdasarkan kuisioner, diperoleh jawaban Sangat Menarik 68,75 %, Menarik 28,75 %, Tidak Menarik 2,5%, Algoritma Algoritma Bubble Sort merupakan prosedur pemecahan yg paling simple cocok buat data menggunakan elemen mini dan gampang buat dihubah kodenya, kelemahaannya adlah apabila pengurutan buat data besar kinerjanya menjaddi lamban memburuk
PELATIHAN TEKNOLOGI INFORMASI DAN PENGAPLIKASIAN JARINGAN INTERNET DI SEKOLAH DASAR NEGERI 48 KOTA BENGKULU Darnita, Yulia; Toyib, Rozali; Hanif, Patri; Sahputry, Feby Ayu; Lestari, Hesti; Sundari, Weti
JE (Journal of Empowerment) Vol 4, No 1 (2023): JUNI
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/je.v4i1.2413

Abstract

ABSTRAK Kebijakan sekolah memperbolehkan guru-guru daring dari sekolah untuk mengurangi biaya penggunaan internet di rumah,  awalnya prasarana jaringan internet bisa men cover kebutuhan guru-guru akan tetapi karena pandemic berlangsung lama dan penggunaan aplikasi yang buat oleh pemerintah yang mengharuskan ada akses internet secara luas maka dengan sendirinya sekolah harus menambah akses internetnya di hampir semua ruangan sehingga tidak menumpuk disatu ruangan saja dan juga untuk antisipasi penyebaran varian covid 19 antar guru, disamping permasalahan dengan jaringan internet di sekolah, masih banyak guru-guru yang belum begitu terbiasa dengan penggunaan teknologi informasi khususnya guru-guru senior yang masih gaptek dengan teknologi. Metode kegiatan yang dilakukan berupa pelatihan, sosialisasi serta  praktek yang diajarkan kepada guru-guru dan proses pengabdian masyarakat ini berlangsung dengan baik terlihat dengan antusias peserta dalam mengikuti pelatihan dan kemampuan mereka bertambah dengan hasil post test dan pra test yang dilakukan dengan tingkat ketercapaian angka 82 % sampai 85 % dan kendala yang dihadapi masih minimnya kemampuan guru-guru senior dalam penguasaan teknologi untuk itu harus sering diadakan kegiatan secara berkala untuk mengupdate kemampuan mereka.ABSTRACTSchool policies allow online teachers from schools to reduce the cost of using the internet at home, initially the internet network infrastructure could cover the needs of teachers, but because the pandemic lasted a long time and the use of applications made by the government required wide internet access, then automatically schools must increase their internet access in almost all rooms so that they don't pile up in one room and also to anticipate the spread of the Covid 19 variant between teachers, besides problems with the internet network in schools, there are still many teachers who are not very familiar with the use of information technology, especially teachers senior teachers who are still clueless with technology. The method of activity carried out in the form of training, socialization and practice taught to teachers and the community service process is going well as seen by the enthusiasm of the participants in participating in the training and their abilities have increased with the results of the post test and pra test which were carried out with an achievement rate of 82%. up to 85% and the constraints faced are still the lack of ability of senior teachers in mastering technology for this reason activities must be held regularly to update their abilities.
DIKLAT RISET TERAPAN BAGI GURU SMK PUSAT KEUNGGULAN Wibowo, Sastya Hendri; Toyib, Rozali; Darnita, Yulia; Muntahanah, Muntahanah; Witriyono, Harry; M. Imanullah, M. Imanullah; Darmi, Yulia
JE (Journal of Empowerment) Vol 3, No 1 (2022): JUNI
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/je.v3i1.2035

Abstract

Pendidikan dan Pelatihan (Diklat) Riset Terapan merupan salah satu agenda yang terdapat pada pendampingan SMK Pusat Keunggulan. Kegiatan berfokus pada peningkatan keterampilan sumber daya manusia terutama guru yang mengajar di SMK Pusat Keunggulan. Tujuan Pendidikan dan Pelatihan (Diklat) adalah memberikan pelatihan bagai para guru dengan materi tentang hasil riset para instruktur yang juga dosen di Program Studi Teknik Informatika Fakultas Teknik Universitas Muhammadiyah Bengkulu yang dapat kolaborasikan di SMK Pusat Keunggulan,  seperti animasi dengan open source, dan natural language processing.  Pelatihan ini berlangsung selama 5 hari dengan metode sinkron dan asinkron.  Asinkron adalah penyampaian materi secara langsung antara instruktur kepada peserta (luring), sedangkan asinkron adalah penyampaian materi secara tidak langsung atau dalam bentuk tugas mandiri yang telah diberikan oleh instruktur sebelumnya.
Robot Untuk Mendeteksi Objek dengan Citra Digital dan Notifikasi Short Message Service (SMS) Toyib, Rozali
Jurnal PROCESSOR Vol 18 No 2 (2023): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2023.18.2.840

Abstract

The use of the camera can only be used as a monitor which is usually used not equipped with other devices that allow it to hit an object, be it a human or an object and by using a camera is a hardware device that functions to capture images and convert them into digital images that can be read and processed. by a computer using a robot controlled by a smartphone in approaching objects, the camera sensor is useful for detecting colored ball objects. The detected colors consist of Red, Green, Blue, all colors are processed in the microcontroller which functions as the brain of the robot that is made and later the robot will send information in the form of SMS the results of color objects that have been detected. Research results On the camera sensor, the larger the megapixel camera used, the clearer the resulting image will be in the detection process. The time for sending SMS to the destination number is based on the signal quality of the GSM provider used and in developing information, real-time object information can be added. for object detection will be displayed directly by the smartphone connected to the robot.
Aplikasi Pengenalan Sistem Isyarat Bahasa Indonesia dengan Tensorflow Lite dan Firebase Authentication Toyib, Rozali; Affandi Mussa, Anitya Putri; Wijaya, Ardi; Sonita, Anisya
Jurnal Teknik Informatika dan Sistem Informasi Vol 11 No 1 (2025): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v11i1.9678

Abstract

Deaf and mute individuals often face communication barriers with the general public due to limited understanding of sign language. This leads to a gap in social interaction and access to various public services. Government efforts to enhance social inclusion through various policies and programs need to be accompanied by practical solutions that can help the deaf and mute interact more easily with society. This study aims to develop a mobile application that can recognize and translate Indonesian Sign Language System (SIBI) into text or speech in real-time, thus helping the deaf and mute communicate more effectively with the general public. The application is designed using TensorFlow Lite for sign language recognition and Firebase Authentication for user authentication. The application was evaluated through questionnaires involving respondents from the general public and mobile experts. The results of the general user questionnaire showed an average satisfaction percentage of 86.65%, with positive ratings for ease of use, benefits, and application interface. Meanwhile, the results of the expert mobile questionnaire showed full satisfaction with an average percentage of 100%, indicating that all application features functioned well. The findings indicate that this application is effective in recognizing and translating sign language and is well-received by the deaf, mute, and the general public.
Co-Authors Abdullah, Dedy Abimanyu, Ageng Achmad Nurcholis, Ivan Afensyah Susanto Affandi Mussa, Anitya Putri Afriandi, Rahmad Afrinando Kusnadi Kusnadi Ageng Abimanyu Agung Prabowo Agusdi Syafrizal Agusdi Syafrizal Agusdi Syafrizal, Agusdi Aldino Discrise Amartya Wayitno Andika Putra Anggraini, Ani Anugrah Ilahi, Puja Apridiansyah, Yovi Ardi wijaya Arisandi, Vini Aryo Dwi Wardana Aulia, Nica Beni Juanda Cahyo Saputra Cheka, Julyane Kevin Dandi Sunardi Dani, Aliman dany Adhi wibowo Darnita, Yulia Dedy Abdullah Dedy Agung Prabowo Dedy Prabowo Della, Della Rahma Deva, Alba Ragil Sutra Diatama, Pradika Doni Fareza, Ahmad Egia Apriansyah Fira Rahmadhini Fransisco, Nochi Erfindo Gunawan Gunawan Gunawan Gunawan Guntur Alam Handayani, Sri Handoko, Reza Kharisma Hanif, Patri Harry Witriyono Hendri Wibowo, Sastya Hesti Lestari hidayah, agung kharisma Hidayat, Mehadi Tri Hidayat, Muhammad Husni Hidayat, Roki Ikhlasul, Ridho ikram, Ridho Imanullah, Muhammad Intan Saraswati Pangumbaran Irvan Wahyudi Islan Wardiman Isnadia, Yusi Iwan Bustami Jay, Hendri Jaya, Hendri Joka Jasri Joshi, Jericko Vivaldo Juanda, Beni Juhardi, Ujang Khairullah, Khairullah Khairunnisyah Khairunnisyah Khairunnisyah, Khairunnisyah Khakim, Ahmad Nuril Kharisma , Agung Kontesa, Ronaldo Kusnadi, Afrinando Kusnadi Lena Utami Luh Putu Ratna Sundari M Yoka Fathoni M. Husni Rifqo M. Imanullah, M. Imanullah Mahfuzi, A.R Walad Marga Handayani, Kurnia marhalim, marhalim Maria Veronika, Nuri David Mehadi Tri Hidayat Miadsyah, Muhammad Milantiano , Milantiano Muhammad Febriansyah Muhammad Imanullah Muntahanah Muntahanah Muntahanah, Muntahanah Muthia Khanza Netra Ayu Nica Aulia Novrialdi, Tito Nur Faizin Onsardi, Onsardi Pahrizal, Pahrizal Pangumbaran, Intan Saraswati Pirdaus, M Sapta Pradika Diatama Puji Rahayu Putra, Adeyansyah Putra, Yebri Raflles, Richard Rahmad Afriandi Rahmadhini, Fira Rahmadona, Evita Ramadhan, Arya Gilang Rany Marantika Renaldi Renaldi Restite Kalera Retno Vinasti Reza Kharisma Handoko Rika Rahmawati Riri Rumbiyiani Ririn Apriza Ristontowi safitri, melinia Sahputry, Feby Ayu Sastya Hendri Wibowo Sastya Hendri Wibowo Wibowo Sastya Wibowo Sismelindo, Febrian Sismelindo Sonia Marantika Sonita, Anisya Sugianto, Melani Sundari, Weti Surya Ade Saputera Susanto, Afensyah Teguh Wibowo Tito Novrialdi Tri Astuti ujang juhardi Veronica, Nuri David Maria Veronika, Nuri Wahyu Nugroho Wahyudi, Irvan Waluyo wibowo, dany Adhi Wijaya, Ardi Wijaya, Nur Ade Wilio Papian Witriyono, Harry Yayang Kurniawan Yebri Putra Yudistira Yudistira Yulia Darmi Yulia Darnita Yulia Darnita Yulia Darnita yuliadarnita yuliadarnita yuliadarnita, yuliadarnita Yusi Isnadia Yuza Reswan