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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) Syntax Literate: Jurnal Ilmiah Indonesia 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 Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Manajemen Dakwah Jurnal Nasional Teknik Elektro dan Teknologi Informasi

Zamah Sari

Universitas Muhammadiyah Malang

Author-ID : 800861

Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Sensor Fusion Accelerometer dan Gyroscope untuk Pengukuran Perubahan Kinematik Pergelangan Kaki Kusuma, Wahyu Andhyka; Sari, Zamah; Sari, Anggreani Tyas
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 1, No 1, May-2016
Publisher : Universitas Muhammadiyah Malang

Sensor fusion merupakan metode penggabungan dua jenis sensor yang berbeda dimana memiliki karaktersitik yang hampir sama untuk mendapatkan suatu fungsi baru. Salah satu fungsi dari sensor fusi adalah mendapatkan perbandingan antara dua sensor yang digabungkan. Penelitian tentang perubahan kinematik telah jamak dilakukan, hal ini dikarenakan dengan melihat perubahan kinematik manusia dapat menentukan pola pergerakan, klasifikasi, hingga proses rehabilitasi medis. Seluruh anggota tubuh yang terhubungkan oleh sendi dan bergerak dapat diukur nilai kinematiknya. Penelitian ditujukan pada pergelangan kaki untuk mengetahui langkah serta pergerakan naik turunnya pergelangan kaki, hasil dari penelitian ini diharapkan mampu mendukung penelitian lanjutan untuk membantu proses rehabilitasi medis pada pasien yang mengalami cidera pergelangan kaki. Penelitian yang dilakukan pada empat orang yang berbeda melakukanÂ aktivitas lari, jalan lambat, jalan ditempat, dan jalan cepat didapatkan perbedaan rata-rata dari kedua sensor yang dihasilkan oleh gyro x dan acc x adalah 10,27%, gyro y dan acc y adalah -25,39%, gyro z dan acc z adalah -10,33%. Dari kedua sensor tersebut dapat disimpulkan bahwa accelerometer dan gyroscope dapat digunakan untuk mengukur besarnya perubahan kinematik.

Analysis of Uapush Malware Infection using Static and Behavior Method on Android Syaifuddin, Syaifuddin; Sari, Zamah; Masduqi, Mohammad Khairul
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 3, No 1, February-2018
Publisher : Universitas Muhammadiyah Malang

This research combines static and behavior analysis to detect malwares on Android system. The analysis process was completed by implementing analysis process on a malware-infected application running on an Android device. The analysis process was implemented based on specific stages, started from implementing behavior analysis on a malware-infected application running on Android device. Moreover, this behavior analysis ran the application on an Android emulator; afterwards, the file processing running on Android would be analyzed using the tool designed on this research to determine whether or not the executed application has been infected by malware. By utilizing behavior analysis, this research aimed to construct LiME kernel module being able to be executed on Android to collect data running on Android memory. This collected data would be analyzed further using volatility as data scanning. The second analysis utilized static analysis by checking the application on android system before running. During the static analysis, the application extraction was executed to generate some files to be analyzed to verify malware infection.

Rancang Bangun Sistem Informasi Servis Oli Sepeda Motor Menggunakan Odometer Berbasis LBS Santana, Renda Arya; Risqiwati, Diah; Sari, Zamah
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 1, February-2017
Publisher : Universitas Muhammadiyah Malang

Waktu servis dapat diketahui melalui mengkonversi putaran roda kendaraan menjadi jarak tempuh. Penggunaan sensor magnet Reed Switch untuk menghitung putaran roda sepeda motor, kemudian Mikrokontroller digunakan sebagai pengolah data putaran roda menjadi jarak tempuh. Apabila perhitungan jarak tempuh telah mencapai batas untuk servis oli, maka akan diberikan suatu peringatan berupa suara menggunakan buzzer. Sistem ini juga dilengkapi dengan button reset untuk me-reset perhitungan jarak tempuh dan sd card yang digunakan untuk menyimpan data jarak tempuh. Aplikasi LBS dapat menentukan posisi pengguna maupun bengkel-bengkel resmi Honda yang telah terintegrasi. Dengan kombinasi ini, aplikasi LBS Bengkel akan mencari rute untuk menghubungkan posisi pengguna dengan bengkel motor serta memanfaatkan servis di google yang sudah disertakan layer traffic sehingga pengguna dapat memilih bengkel yang sesuai dengan keinginannya. Dari hasil aplikasi LBS bengkel yang telah dibuat, aplikasi dapat mendaftarkan servis sepeda motor ke bengkel-bengkel yang terintegrasi. Aplikasi tersebut memapu melakukan proses pencarian lokasi bengkel terdekat di sekitar pengguna dan menunjukkan rute dari lokasi pengguna ke bengkel tujuan menggunakan API google map.Kata kunci: Location Based Service (LBS), Mikrokontroler, Bengkel, Reed Switch, Buzzer

Interviewer BOT Design to Help Student Learning English for Job Interview Muhammad Junus; Muhammad Sarosa; Martin Fatnuriyah; Mariana Ulfah Hoesny; Zamah Sari
IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014
Publisher : IC-ITECHS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1555.549 KB)

To improve skills in English conversation when seeking job in employment interview session is a must to increase competitiveness among other employment seekers. Because of limited resources in our institutions that can help students learning and practice English for interview and achieve their dream work, we design a bot that has personality as an interviewer who asked the questions and then concludes the conversation and make summary of the interview result. This bot interviewer design is using a modern chatter bot named ALICE, and to replicate human intelligent to machine we use AIML. Meanwhile Naive Bayes Algorithm is used to classify the interview result into areas of potentials, talents, and interests of student, and then made a summary in the end of the interview session using a modified phrase reinforcement algorithm where we change the term frequency – inverse document frequency algorithm with Booleanterm frequency using selected keywords. This interviewerbot help student to practice their listening, speaking, know how to answer interviewer questions, and also know their potentials, talents, and area of interests.

Monitoring Walking Devices For Calorie Balance In Patients With Medical Rehabilitation Needs Wahyu Andhyka Kusuma, WAK; Zamah Sari; Diah Ayu Fitriani; Siti Norhabibah; Sabrina Nurul Ubay; Hardianto Wibowo
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

This article presents a measurement system intended to monitor human footsteps. The goal is to guide the users medical rehabilitation incorrect use to prevent dangerous situations and maximize comfort. Indicators of risk in question: the imbalance of movement in motor coordination and the number of calories to be burned for medical rehabilitation patients by balancing the patient's needs. Measurements are made by placing the sensor on one of the patient's legs. The main sensor accelerometer used in this study. The measurement system comes with an application link that allows patients and therapists to monitor the activity. Calibration and experimental results are presented in this article.

Implementation of Obfuscation Technique on PHP Source Code Maskur Maskur; Zamah Sari; Ahmad Miftakh
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Source code on web based applications can be altered easily. This occurred because the source code is not compiled into an executable file. Hence, it can be read and copied easily, or be changed without permission from the author. Obfuscation is a technique that commonly used to secure the source code in any websites based application. Obfuscation is a technique to randomize the source code that make the code harder to read but still runnable, but this make the running time increased and the application will run slower then it supposed to. This increased time caused by reverse obfuscation proses to bring back the source code into originally form before interpreted by web server. This studi intended to create an obfuscation technique that keeping the application run time performance as not obfuscated called Wanna Crypt. The methods to create this applications are (1) system design using UML, (2) implementation of the system, which is done by coding or writing scripts using PHP, HTML, JavaScript, CSS to build Wanna Crypt based website, (3) Blackbox and Whitebox testing to compare the execution time. From the tests, it can be concluded that web applications using Wanna Crypt provide a longer response time than web applications without using obfuscation.

Klasifikasi Citra Pigmen Kanker Kulit Menggunakan Convolutional Neural Network Luqman Hakim; Zamah Sari; Handhajani Handhajani
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 2 (2021): April 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Skin cancer is a very common form of cancer that can be found in the United States with annual treatment costs exceeding $ 8 billion. New innovations in the classification and detection of skin cancer using artificial neural networks continue to develop to help the medical and medical world in analyzing images accurately and accurately. Researchers propose to classify skin cancer pigments by focusing on two classes, namely non-melanocytic malignant and benign, where the skin cancer category which is classified into the non-melanocytic class is Actinic keratoses, Basal cell carcinoma. While skin cancers that are classified into Benign are Benign keratosis like lesions, dermatofibrama, vascular lessions. The method used in this study is Convolutional Neural Network (CNN) with a model architecture using 8 Convolutional 2D layers which have filters (16, 16, 32, 32, 64, 64, 128, 128). The first input layers are (20,20). and the following layers (5,5 and 3,3), the types of pooling used in this study are MaxPooling and AveragePooling. The Fully Connected Layer used is (256, 128) and uses a Dropout (0.2). The dataset is obtained from the International Skin Imaging Collaboration (ISIC) 2018 with a total of 10015 images. Based on the results of the test and evaluation reports, an accuracy of 75% is obtained. with the highest precision and recall values found in the Benign class, namely 0.80 and 0.82 respectively and the f1_score value of 0.81.

Covid-19 Detection Using Convolutional Neural Networks (CNN) Classification Algorithm Melly Damara Chaniago; Amellia Amanullah Sugiharto; Qhistina Dyah Khatulistiwa; Zamah Sari; Agus Eko
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 2 (2022): April 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Corona Virus, also known as COVID-19, is one of the new viruses in 2019. Viruses caused by an animal or human diseases are called coronaviruses. Coronavirus will direct respiration in humans. Humans who are exposed to the coronavirus will experience a respiratory infection. The research that will be made helps classify X-rays of the lungs of patients affected by the coronavirus. In this study, the classification of coronaviruses focuses on three classes, namely Covid, Normal, and Viral Pneumonia. This study uses a lung X-ray image dataset. This study has four folders, namely Scenario 1, Scenario 2, Scenario 3, and Scenario 4. This study will use the Convolutional Neural Network (CNN) method by using an architectural model including Convolutional 2D, activation layers, max-pooling layer, dropout layer, flatten, and dense layer. After building the model, the results of accuracy, precision, recall, and f1-score will be obtained in each scenario. The result of the accuracy of Scenario 1 is 97.87%. In Scenario 2, the accuracy is 94.84%, Scenario 3 is 91.66%, and Scenario 4 is 91.41%.

Pneumonia Image Classification Using CNN with Max Pooling and Average Pooling Annisa Fitria Nurjannah; Andi Shafira Dyah Kurniasari; Zamah Sari; Yufis Azhar
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 2 (2022): April 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Pneumonia is still a frequent cause of death in hundreds of thousands of children in most developing countries and is generally detected clinically through chest radiographs. This method is still difficult to detect the disease and requires a long time to produce a diagnosis. To simplify and shorten the detection process, we need a faster method and more precise diagnosis of pneumonia. This study aims to classify chest x-ray images using the CNN method to diagnose pneumonia. The proposed CNN model will be tested using max & average pooling. The proposed model is developed in previous studies by adding batch normalization, dropout layer, and the number of epochs used. The dataset used will be optimized with oversampling & data augmentation techniques to maximize model performance. The dataset used in this study is "Chest X-Ray Images (Pneumonia)," with 5,856 data divided into two classes, namely Normal and Pneumonia. The proposed model gets 98% results using average pooling, where the results increase by 9-13% better than the previous study. This is because the overall pixel value of the image is highly considered to classify normal lungs and pneumonia.

Sensor Fusion Accelerometer dan Gyroscope untuk Pengukuran Perubahan Kinematik Pergelangan Kaki Wahyu Andhyka Kusuma; Zamah Sari; Anggreani Tyas Sari
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 1, No 1, May-2016
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v1i1.8

Sensor fusion merupakan metode penggabungan dua jenis sensor yang berbeda dimana memiliki karaktersitik yang hampir sama untuk mendapatkan suatu fungsi baru. Salah satu fungsi dari sensor fusi adalah mendapatkan perbandingan antara dua sensor yang digabungkan. Penelitian tentang perubahan kinematik telah jamak dilakukan, hal ini dikarenakan dengan melihat perubahan kinematik manusia dapat menentukan pola pergerakan, klasifikasi, hingga proses rehabilitasi medis. Seluruh anggota tubuh yang terhubungkan oleh sendi dan bergerak dapat diukur nilai kinematiknya. Penelitian ditujukan pada pergelangan kaki untuk mengetahui langkah serta pergerakan naik turunnya pergelangan kaki, hasil dari penelitian ini diharapkan mampu mendukung penelitian lanjutan untuk membantu proses rehabilitasi medis pada pasien yang mengalami cidera pergelangan kaki. Penelitian yang dilakukan pada empat orang yang berbeda melakukan aktivitas lari, jalan lambat, jalan ditempat, dan jalan cepat didapatkan perbedaan rata-rata dari kedua sensor yang dihasilkan oleh gyro x dan acc x adalah 10,27%, gyro y dan acc y adalah -25,39%, gyro z dan acc z adalah -10,33%. Dari kedua sensor tersebut dapat disimpulkan bahwa accelerometer dan gyroscope dapat digunakan untuk mengukur besarnya perubahan kinematik.

Co-Authors Abdul Munir Mulkhan Abdul Munir Mulkhan Achmad Irfani Nur Iman Achmad Yusuf 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 Diyah Luthfi Anjani 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 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 Muhammad Aji Purnama Wibowo Muhammad Alfiannur Muhammad Bima Al Fayyadl Muhammad Iqbal Naufal Ilmi Muhammad Junus Muhammad Rizal 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

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