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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Edukasi dan Penelitian Informatika (JEPIN) PROCEEDING IC-ITECHS 2014 Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JRST (Jurnal Riset Sains dan Teknologi) CYBERNETICS Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) Jurnal Repositor Jurnal Manajemen Dakwah Jurnal Nasional Teknik Elektro dan Teknologi Informasi International Journal of Contemporary Sciences (IJCS) Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat
Zamah Sari
Universitas Muhammadiyah Malang
Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

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Low Rate DDOS Attack Detection Using KNN On SD-IOT Achmad Irfani Nur Iman; Fauzi Dwi Setiawan Sumadi; Zamah Sari
Jurnal Repositor Vol 5 No 1 (2023): Februari 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/repositor.v5i1.1520

Abstract

Internet of Things (IoT) devices are highly developed and can be found in everyday life such as watches, smart lights and so on. For now, there are 24 billion IoT devices connected to the internet and the number will continue to grow. The number of IoT devices connected to the internet means there are many security holes that can be exploited by irresponsible people to carry out attacks that have a wide impact on the network. One of the attacks that can be done is Low Rate Attack. To solve these problems, many researchers have created a new paradigm in networking, which is to take advantage of the advantages of Software Defined Network (SDN) to be applied to IoT networks. This study proposes a classification method for detecting low rate attacks using machine learning using the K-Nearest Neighbors (KNN) algorithm. This study also proposes a new feature scheme for the dataset by utilizing the port statistics feature in the SDN environment. The results showed that the KNN classification model applied got good results, namely 92% when evaluating the model applied to the SD-IoT environment. On the other hand, the lowest packet loss is 1.6% and the highest packet loss is 99%, this can be greatly influenced by the hardware resources used because the detection system requires high hardware resources.
Deep Learning Implementation using Convolutional Neural Network for Alzheimer’s Classification Adhigana Priyatama; Zamah Sari; Yufis Azhar
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 2 (2023): April 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i2.4707

Abstract

Alzheimer's disease is the most common cause of dementia. Dementia refers to brain symptoms such as memory loss, difficulty thinking and problem solving and even speaking. This stage of development of neuropsychiatric symptoms is usually examined using magnetic resonance images (MRI) of the brain. The detection of Alzheimer's disease from data such as MRI using machine learning has been the subject of research in recent years. This technology has facilitated the work of medical experts and accelerated the medical process. In this study we target the classification of Alzheimer's disease images using convolutional neural network (CNN) and transfer learning (VGG16 and VGG19). The objective of this study is to classify Alzheimer's disease images into four classes that are recognized by medical experts and the results of this study are several evaluation metrics. Through experiments conducted on the dataset, this research has proven that the algorithm used is able to classify MRI of Alzheimer's disease into four classes known to medical experts. The accuracy of the first CNN model is 75.01%, the second VGG16 model is 80.10% and the third VGG19 model is 80.28%.
Leaf Image Identification: CNN with EfficientNet-B0 and ResNet-50 Used to Classified Corn Disease Wisnu Gilang Pamungkas; Machammad Iqbal Putra Wardhana; Zamah Sari; Yufiz Azhar
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 2 (2023): April 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i2.4736

Abstract

Corn is the second largest commodity in Indonesia after rice. In Indonesia, East Java is the largest corn producer. The first symptom of the disease in corn plants is marked by small brownish oval spots which are usually caused by the fungus Helminthoporium maydis, if left unchecked, farmers can suffer losses due to crop failure. Therefore it is important to provide treatment for diseases in corn plants as early as possible so that diseases in corn plants do not spread to other plants. In this study, the dataset used was taken from the kaggle website entitled Corn or Maize Leaf Disease Dataset. This dataset has 4 classifications: Blight, Common Rust, Grey leaf spot, and Healthy. This study uses the Convolutional Neural Network method with 2 different models, namely the EfficientNet-B0 and ResNet-50 models. The architectures used are the dense layer, the dropout layer, and the GlobalAveragePooling layer with a dataset sharing ratio of 70% which is training data and 30% is validation data. After testing the two proposed scenarios, the accuracy results obtained in the test model scenario 1, namely EfficientNet- B0 is 94% and for the second test model scenario, namely ResNet-50, the accuracy is 93%.
Website Vulnerability Analysis of AB and XY Office in East Java Muchammad Zaidan; Febyola Noeraini; Zamah Sari; Denar Regata Akbi
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 2 (2023): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i2.26183

Abstract

Study this aim for analyze and identify vulnerability existing security on AB and XY Service Websites in East Java. Contribution study this is give more understanding deep about type vulnerability specific security and its impact to field website security. Method research used involve data scanning, analysis vulnerabilities, and Brute Force experiments. A total of 2 samples of AB and XY Service Websites were analyzed For identify existing vulnerabilities the data. However so, necessary noted that method study this own a number of limitations. First, size sample used possible limited to AB and XY Service Websites in East Java only, so generalization results study against other websites needs done with be careful. Second, analysis statistics used only covers analysis descriptive, so study this not yet investigate linkages between existing variables. Although thus, results study show exists necessary weaknesses and vulnerabilities corrected on AB and XY Service Websites. A number of findings covers problem website configuration and handling vulnerability that is not adequate. With highlight specific susceptibility, research this give more understanding deep about threat security faced by AB and XY Service Websites. In context field website security, research this own implication important. With understand existing vulnerabilities on AB and XY Service Websites, steps repair proper security can take for protect sensitive data and improve protection security in a manner whole. Kindly whole, research this identify and analyze vulnerability security on AB and XY Service Websites, as well give more understanding Specific about type existing vulnerabilities. Although there are limitations in method study this is the result still give valuable insight in field website security and can become base for repair more security effective and more data protection on both the AB and XY Service Websites.
“Si Tole” Chatterbot untuk Melatih Rasa Percaya Diri Menggunakan Naive Bayes Classification Zamah Sari; Moechammad Sarosa; Suhari
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 1: Februari 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1057.884 KB)

Abstract

Observing the behavior and character of children today, many parents are worried about their child's development. Educational observers convey the necessity of character education from an early age to instill in them with morality and noble character. Having a strong character and quality, young generation will become an ethical, tough, and superior generation. Various efforts were made to provide character education to children. One of them is to train the level of confidence of children by inviting them to speak and express opinions in the form of text/chat. In order to help that, a chat app that can help kids to tell stories in the form of text/chat was built, so the kids accustom to expressing opinions and confidently talk to others and happy to hear it. The character education raised in this application is to increase the confidence level of the child. The topics raised as conversation on the Si Tole app are about friendship, joy (food, books, movies), recreation, birthday parties, hopes, and dreams. By practicing to talk to Si Tole Chatterbot, it is expected that children's character development will be better. This application is suitable to be a medium of character education for adolescents (Primary School/Junior High School) to improve their confidence.
Dampak Test-Driven Development pada Kualitas Kode Muhammad Iqbal Naufal Ilmi; Aminudin Aminudin; Zamah Sari
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 9, No 3 (2023): Volume 9 No 3
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v9i3.66815

Abstract

Pengembang perangkat lunak sekarang dituntut untuk memiliki perangkat lunak yang baik. Salah satu faktor yang membuat perangkat lunak tersebut baik adalah bebas dari berbagai macam bug dan program mudah untuk dirawat. Salah satu cara untuk mendapatkan hal tersebut adalah menggunakan Test-Driven Development (TDD). TDD adalah metode dengan menuliskan pengujian sebelum kode program. Dengan TDD diharapkan memiliki kualitas kode yang baik dan bebas dari berbagai macam bug. Karena hal tersebut, pada paper ini akan diteliti tentang dampak yang terjadi ketika menggunakan TDD dalam nilai-nilai seperti code coverage, halstead volume dan maintainability index. Hasilnya didapatkan bahwa dengan menggunakan TDD dapat meningkatkan matriks pada indikator tersebut karena pengembang memiliki kesempatan untuk berfokus pada penulisan test di awal sebagai awal siklus dan fokus pada akhir siklus. Berdasarkan perhitungan yang dilakukan, didapatkan hasil dengan penggunaan TDD dapat meningkatkan nilai code coverage sampai lebih dari 100%, cyclomatic complexity sebesar 15.78%, halstead volume sebesar 35% dan maintainability index sebesar 11%. Hal tersebut terjadi karena kode lebih banyak yang dijangkau oleh pengujian dan setiap siklus diakhiri dengan refactor sehingga program akan diperbaiki setiap siklus sehingga kualitas kode menjadi lebih baik.
Pneumonia Diagnosis Through Deep Learning: ResNet50v2 Model Implementation Yufis Azhar; Zamah Sari; Wahyu Priyo Wicaksono
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 2 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i2.72068

Abstract

Pneumonia is a significant global health concern, particularly affecting young children and the elderly. It is a lung infection caused by bacteria, viruses, fungi, or parasites, leading to the alveoli filling with pus or fluid. This study addresses the challenge of accurately diagnosing pneumonia using chest X-ray images, a process traditionally dependent on the expertise of radiologists. The reliance on radiologists results in lengthy diagnosis times and high costs, particularly in regions with a shortage of medical professionals. This research presents a deep-learning approach to automate the classification of pneumonia using the ResNet50v2 model, which has been pre-trained on the ImageNet dataset. The dataset used in this study, obtained from the Guangzhou Women and Children’s Medical Center, comprises 5,856 images, with 1,583 normal and 4,273 pneumonia cases. The images were preprocessed and augmented to enhance the model's robustness. The proposed model achieved an accuracy of 94%, demonstrating its potential in clinical settings to assist in the rapid and reliable diagnosis of pneumonia. This study contributes to the growing body of research in medical image analysis by employing a pre-trained ResNet50v2 model. It highlights the importance of leveraging advanced machine-learning techniques to improve diagnostic accuracy and efficiency.
ANALISIS NILAI PROFIL PELAJAR PANCASILA PADA FILM SANG PENCERAH Puspita, Yeni Cania; Mulkhan, Abdul Munir; Zamah Sari
Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah Vol. 15 No. 1 (2025): Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/literasi.v15i1.22247

Abstract

Penelitian ini memiliki tujuan untuk menganalisis bagaimana nilai-nilai yang ada dalam Profil Pelajar Pancasila tergambarkan melalui film Sang Pencerah. Fokus utama penelitian ini adalah menilai efektivitas film sebagai media pembelajaran dalam menyampaikan pesan moral dan nilai-nilai Pancasila, terutama di tengah tantangan globalisasi yang cenderung mengikis nilai-nilai karakter bangsa. Pemanfaatan media kreatif seperti film dianggap penting untuk memperkuat pendidikan karakter, terutama bagi generasi muda sebagai sasaran utama implementasi Profil Pelajar Pancasila. Penelitian ini menggunakan metode kualitatif deskriptif dengan menerapkan teknik analisis isi. Analisis dilakukan pada adegan, dialog, dan karakter dalam film yang menggambarkan enam nilai utama Profil Pelajar Pancasila. Nilai pertama adalah beriman dan bertakwa kepada Tuhan Yang Maha Esa, serta berakhlak mulia, kedua adalah mandiri, nilai ketiga yaitu bergotong-royong, nilai keempat adalah berkebinekaan global, kemudian bernalar kritis, dan nilai terakhir adalah kreatif. Data dianalisis dengan menggunakan model analisis Miles dan Huberman, yang terdiri dari tahap reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa film Sang Pencerah secara konsisten merefleksikan enam nilai tersebut. Film ini menekankan nilai toleransi, kerjasama, pemikiran kritis, dan kreativitas melalui perjalanan hidup K.H. Ahmad Dahlan. Penelitian ini menyimpulkan bahwa Sang Pencerah merupakan alat atau media pembelajaran yang efektif untuk menanamkan nilai-nilai Pancasila secara relevan dan menginspirasi, serta memberikan kontribusi penting dalam literasi pendidikan karakter yang berbasis media.
DAMPAK NEGATIF ILMU PENGETAHUAN DALAM KAJIAN ETIKA DAN MORAL PADA GENERASI MUDA: PERSPEKTIF KH. AHMAD DAHLAN Suratiningsih, Meity; Mulkhan, Abdul Munir; Zamah Sari
Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah Vol. 15 No. 1 (2025): Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/literasi.v15i1.22262

Abstract

Ilmu pengetahuan merupakan hal yang sangat penting dimiliki semua manusia. Hal tersebut membuat semua manusia mengejarnya, karena begitu pentingnya dan utamanya ilmu pengetahuan. Penelitian ini bertujuan untuk mengetahui dampak negatif ilmu pengetahuan dalam kajian etika dan moral pada generasi Z. Penelitian ini menggunakan metode deskripsi analisis dengan objek penelitiannya adalah mahasiswa PBSI FKIP Unpas semester 1 yang merupakan generasi Z dilihat dari dampak negatif ilmu pengetahuan dalam kajian etika dan moralnya. Data diambil dari segi teknologi yang memengaruhi moral dan etika dari mahasiwa generasi Z. Hasil pembahasaan menyatakan teknologi digital sangat amat berpengaruh pada generasi muda khususnya generasi Z. Dampak terbesar adalah pada etika dan moral para anak muda. Berkurangnya empati munculnya individualisme dan turunnya adab kesopansantunan pada orang yang lebih tua. Kontras dengan Perspektif K. H. Ahmad Dahlan yang menekankan pentingnya adab dalam ilmu pengetahuan, yang kini tampak mulai terkikis oleh pengaruh teknologi di kalangan generasi muda khususnya generasi Z.
NILAI KETELADANAN K. H. AHMAD DAHLAN DALAM FILM TITIR (KAJIAN SEMIOTIKA): THE VALUE OF K. H. AHMAD DAHLAN'S EXAMPLE IN THE FILM TITIR (SEMIOTIC STUDY) Rahmat; Mulkhan, Abdul Munir; Zamah Sari; Adelya Daniyah
Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah Vol. 15 No. 1 (2025): Literasi: Jurnal Ilmiah Pendidikan Bahasa, Sastra Indonesia dan Daerah
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/literasi.v15i1.22356

Abstract

This article is about studying exemplary values ​​in the film Titir, which tells the story of KH. Ahmad Dahlan is a leading Islamic organization in Indonesia for the welfare of teachers and Muhammadiyah schools. The method used is qualitative by observing the Titir film using note-taking techniques. The approach used is Charles Sainsders Peirce's semiotic analysis by explaining the visual data depicted in the Titir film. This film not only provides a narrative story of struggle but also as a visual medium that conveys exemplary values ​​through the words and actions carried out between the characters. As a result, KH Ahmad Dalan's exemplary value was obtained. Ahmad Dahlan in the film Titir is leadership, love, and honesty.
Co-Authors Abdul Munir Mulkhan Abdul Munir Mulkhan Achmad Irfani Nur Iman Ade Nurhidayat Nasution Adelya Daniyah Adhigana Priyatama Agung Wahyu Purnadi Agus Eko Agus Eko Minarno Ahmad Miftakh Akbi, Denar Regata Akhmad Yusuf F Akmal Muhammad Naim Aldyth Sugiharto Wijaya Ali Sofyan Kholimi Amellia Amanullah Sugiharto Aminudin Aminudin Andi Shafira Dyah Kurniasari Anggreani Tyas Sari Annisa Fitria Nurjannah Asty Try Yuliandari Aulia Ligar Salma Hanani Basuki, Setio Bayu Adhitia Wardana Bayu Yudha Purnomo Bella Chintia Merita Chandranegara, Didih Rizki Damayanti, Elok Dedi Purniawan Denar Regata Akbi Diah Ayu Fitriani Diah Risqiwati Didih Rizki Chandranegara Diyah Luthfi Anjani Faiq Azmi Nurfaizi Fakhrul Nasrulloh Faldo Fajri Afrinanto Fatimah Nursandi Febyola Noeraini Fengki Faradila Fitriani, Diah Ayu Gilang Permana Gita Indah Marthasari Gratiyo Wahyu Wahidin Hanafi Prasetyoko Hanum Shirotu Nida Hardianto Wibowo Heni Pujiastuti Hi Jamal, Agus Ilham Rahmana Syihad inung bagus prasetyo Jafar Shodiq Djawas Jalu Nusantoro L. Yasril Imam Lalu Rahmat Hidayat Lucky Nurfiqin Luqman Hakim Machammad Iqbal Putra Wardhana Mahar Faiqurahman Martin Fatnuriyah Masduqi, Mohammad Khairul Maskur Maskur Maskur Maskur Maskur, Maskur Melly Damara Chaniago Miftah Faisal Hamdani Miftakh, Ahmad Miftakhudin Kusuma Wijaya Moechammad Sarosa Moh. Badris Sholeh Rahmatullah Mohammad Khairul Masduqi Muchammad Zaidan Muchsin Bin jafar Al Hamid Muhamad Yamin Muhammad Aji Purnama Wibowo Muhammad Alfiannur Muhammad Bima Al Fayyadl Muhammad Iqbal Naufal Ilmi Muhammad Junus Ningsih Djamsi Norhabibah, Siti Nuryasin, Ilyas Puspita, Yeni Cania Qhistina Dyah Khatulistiwa Rahayu Nurul Khasanah Rahayu Puji Lestari Rahmat Renda Arya Santana Rendy Bramesta Kusumadewa Rino Nugroho Rohsih Hana Sundari Rustandi, Adi S, Vinna Rahmayanti S.B.P. Handhajani Sabrina Nurul Ubay Santana, Renda Arya Sari, Anggreani Tyas Setiawan Siti Norhabibah Sofyan Arifianto Suhari, Suhari Sumadi, Fauzi Dwi Setiawan Suratiningsih, Meity syaifuddin syaifuddin Syaifuddin Syaifuddin Syaifuddin Syaifuddin Toto Tohari Ubay, Sabrina Nurul Wahyu Andhyka Kusuma Wahyu Priyo Wicaksono Wana Salam Labibah Wicaksono, Galih Wasis Wildan Suharso Wildan Suharso Wisnu Bayu Ahadin Wisnu Gilang Pamungkas Wiyono, Briansyah Setio Yoga Pamungkas Yufis Azhar Yufiz Azhar Yundari, Yundari