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All Journal JURNAL BISNIS STRATEGI TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Inovasi Teknologi Pendidikan Jurnal Edukasi dan Penelitian Informatika (JEPIN) POROS TEKNIK Journal of Animation & Games Studies Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control SINTECH (Science and Information Technology) Journal Jurnal ULTIMATICS CYBERNETICS Jurnal Keperawatan dan Fisioterapi (JKF) Jurnal Repositor Jurnal Perempuan & Anak Joutica : Journal of Informatic Unisla JURNAL INOVASI DAN PENGABDIAN MASYARAKAT INDONESIA Makara Journal of Technology JGGAG (Journal of Games, Game Art, and Gamification)
Hardianto Wibowo
Universitas Muhammadiyah Malang
Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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The Role Of Women In Improving The Income For Economic Changes In Underprivileged Families Wildan Suharso; Rina Karyati; Vivi Andriyani; Taufan Reza Achmadi; Hardianto Wibowo
Jurnal Perempuan dan Anak Vol. 3 No. 1 (2020): Februari
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (271.443 KB) | DOI: 10.22219/jpa.v3i1.11500

Abstract

Women are a significant part of every aspect of life, from a large environment to the smallest one, women are sometimes appointed as heads of a unit or organization. The role of women is increasingly felt when in a family that has a category of poverty families, the ability of women to obtain a budget, and expenditure becomes very important. Economic change is faster if women can manage income, expenses, and households well. This study analyzes the role of women in increasing income for changes in the underprivileged economy using Participatory Rural Appraisal (PRA) by combining secondary data review and direct observation. Strengths Weaknesses Opportunities Threats (SWOT) Analysis is used to determine the environmental conditions used by case studies when conducting research. Analysis is used to determine the relationship between income and changes in the economic level. The data used are secondary data supported by direct data collection and field collection. The number of respondents used as sample data is 145 underprivileged families in the Lawang District of Malang, which are spread across four research areas with 36 data details in zone 1, 25 data in zone 2, 21 data in zone 3, and 63 data in zone 4. Research Results show that the role of women is very important in efforts to improve the welfare of underprivileged families and analysis of the participation of changes in the relationship between increasing income with changes in the economic level of underprivileged families.
Music Information Retrieval Based on Active Frequency Wibowo, Hardianto; Suharso, Wildan; Azhar, Yufis; Wicaksono, Galih Wasis; Minarno, Agus Eko; Harmanto, Dani
Makara Journal of Technology Vol. 25, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Music is the art of combining frequencies. A balance of frequencies gives rise to a harmonious tone. Several features of music can be analyzed, and they include sociocultural background, lyrics, mood, tempo, rhythm, harmony, melody, timbre, and instrumentation. In this study, we use the frequency of instrumentation as a feature for classification because each instrument has a frequency range. To test this frequency range, we use five music genres and one music playing skill. The five genres are dangdut, electronic dance music (EDM), metal, pop/rock, and reggae. The music playing skill is acoustic. Active frequencies are tested using the k-nearest neighbor method, and the results serve as basis of the accuracy of music classification. The classification accuracy for EDM, metal, and acoustic is over 70%, whereas that for dangdut, pop/rock, and reggae is less than 60%. In sum, the accuracy of music classification is influenced by the similarities in the music instruments used and the tempo.
Prediksi Harga Saham Jakarta Islamic Index Menggunakan Metode Long Short-Term Memory Didih Rizki Chandranegara; Raffi Ainul Afif; Christian Sri Kusuma Aditya; Wildan Suharso; Hardianto Wibowo
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 9, No 1 (2023): Volume 9 No 1
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v9i1.57561

Abstract

Saat ini investasi sudah sangat menyebar luas dan banyak dari kita sedang melakukannya. Investasi ini berguna untuk mengatasi kebutuhan hidup dimasa mendatang yang tidak menentu. Salah satu penyebab tidak menentunya kebutuhan dimasa mendatang adalah inflasi. Salah satu contoh investasi adalah saham. Di dalam jual beli saham di Indonesia terdapat Jakarta Islamic Index (JII). JII adalah salah satu index yang ada di pasar modal Indonesia yang mengelompokkan beberapa saham yang masuk dalam kriteria syariah dan dihitung rata-rata dari harga saham – saham tersebut. Dalam berinvestasi saham, kita tidak bisa melakukan pergerakan yang sembarangan karena saham yang relatif berubah-ubah menjadi penyebab kegagalan dalam berinvestasi saham. Dengan demikian ketika melakukan investasi saham harus dilakukan analisa yang tepat. Perkembangan teknologi saat ini sangat maju dan juga dapat membantu kita dalam melakukan analisa dalam berinvestasi dengan melakukan prediksi harga. Pada penelitian ini, akan dimanfaatkan kemajuan teknologi tersebut dengan melakukan penelitian prediksi, penelitian ini dilakukan menggunakan metode Long short Term-Memory (LSTM). Model LSTM yang diusulkan dapat memperoleh performa yang cukup baik dengan hasil RMSE mencapai 5.20877667554, dan MAPE 0.08658576985.
Analysis of Pneumonia on Chest X-Ray Images Using Convolutional Neural Network Model iResNet-RS Didih Rizki Chandranegara; Vizza Dwi Vitanti; Wildan Suharso; Hardianto Wibowo; Sofyan Arifianto
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1728

Abstract

Pneumonia, a prevalent inflammatory condition affecting lung tissue, poses a significant health threat across all age groups and remains a leading cause of infectious mortality among children worldwide. Early diagnosis is critical in preventing severe complications and potential fatality. Chest X-rays are a valuable diagnostic tool for pneumonia; however, their interpretation can be challenging due to unclear images, overlapping diagnoses, and various abnormalities. Consequently, expedient, and accurate analysis of medical images using computer-aided methods has become crucial. This research proposes a Convolutional Neural Network (CNN) model, specifically the ResNet-RS Model, to automate pneumonia identification. The Contrast Limited Adaptive Histogram Equalization (CLAHE) technique enhances image contrast and highlights abnormalities in pneumonia images. Additionally, data augmentation techniques are applied to expand the image dataset while preserving the intrinsic characteristics of the original images. The proposed methodology is evaluated through three testing scenarios, employing chest X-ray images and pneumonia dataset. The third testing scenario, which incorporates the ResNet-RS model, CLAHE preprocessing, and data augmentation, achieves superior performance among these scenarios. The results show an accuracy of 92% and a training loss of 0.0526. Moreover, this approach effectively mitigates overfitting, a common challenge in deep learning models. By leveraging the power of the ResNet-RS model, along with CLAHE preprocessing and data augmentation techniques, this research demonstrates a promising methodology for accurately detecting pneumonia in chest X-ray images. Such advancements contribute to the early diagnosis and timely treatment of pneumonia, ultimately improving patient outcomes and reducing mortality rates.
Analysis of the Combination of Naïve Bayes and MHR (Mean of Horner’s Rule) for Classification of Keystroke Dynamic Authentication Zamah Sari; Didih Rizki Chandranegara; Rahayu Nurul Khasanah; Hardianto Wibowo; Wildan Suharso
JOIN (Jurnal Online Informatika) Vol 7 No 1 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i1.839

Abstract

Keystroke Dynamics Authentication (KDA) is a technique used to recognize somebody dependent on typing pattern or typing rhythm in a system. Everyone's typing behavior is considered unique. One of the numerous approaches to secure private information is by utilizing a password. The development of technology is trailed by the human requirement for security concerning information and protection since hacker ability of information burglary has gotten further developed (hack the password). So that hackers can use this information for their benefit and can disadvantage others. Hence, for better security, for example, fingerprint, retina scan, et cetera are enthusiastically suggested. But these techniques are considered costly. The advantage of KDA is the user would not realize that the system is using KDA. Accordingly, we proposed the combination of Naïve Bayes and MHR (Mean of Horner’s Rule) to classify the individual as an attacker or a nonattacker. We use Naïve Bayes because it is better for classification and simple to implement than another. Furthermore, MHR is better for KDA if combined with the classification method which is based on previous research. This research showed that False Acceptance Rate (FAR) and Accuracy are improving than the previous research.
Music Features Pada Bidang Ilmu Komputer Menggunakan Modularity Clustering Suharso, Wildan; Arifianto, Sofyan; Wibowo, Hardianto; Chandranegara, Didih Rizki; Syaifuddin, Syaifuddin
Jurnal Sistem Informasi, Teknologi Informatika dan Komputer Volume 13 No 1 Tahun 2022
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/justit.13.1.%p

Abstract

Music features menjadi bagian dari berbagai disiplin keilmuan sehingga sering terjadi bias saat dilakukan pencarian pada mesin pencari, music features dapat termasuk ke dalam ilmu komputer, teknik hingga psikologi. Music features pada bidang ilmu komputer juga terkelompok menjadi beberapa bagian jika ditinjau dari rujukan yang dilakukan oleh peneliti terutama yang berasal dari artikel internasional yang terindeks scopus, berbeda dengan artikel Indonesia yang terkelompok pada Sinta berdasarkan Jurnal yang menerbitkan artikel. Pada penelitian ini dilakukan clustering terhadap artikel yang tergolong dalam bidang ilmu komputer dan memiliki kata kunci music features sehingga diperoleh 448 artikel. Metode yang digunakan adalah modularity clustering dengan menggunakan tool VOSviewer dan menghasilkan 3 cluster berdasarkan topik dan 7 cluster jika ditinjau dari kuantitas penulis yang menjadi co-author
Program Preventif dan Kuratif untuk Menurunkan Risiko Jatuh Lansia Persatuan Wredatama Republik Indonesia, Lamongan Wibowo, Hardianto; Prastowo, Bayu
JURNAL INOVASI DAN PENGABDIAN MASYARAKAT INDONESIA Vol 3 No 1 (2024): Januari
Publisher : Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jipmi.v3i1.205

Abstract

Latar belakang: Lanjut usia merupakan fase terakhir pada siklus kehidupan manusia yang dimulai pada rentang usia 60 tahun. Fase tersebut mengakibatkan terjadinya penurunan fungsi keseimbangan secara progresif. Tujuan: Melakukan edukasi terkait risiko jatuh akibat penurunan fungsi keseimbangan dan memberikan program latihan untuk meminimalisir penurunan fungsi tersebut secara progresif. Metode: Metodologi pengabdian ini mengadopsi pendekatan Participatory Action Research (PAR) untuk mengentaskan problematika kesehatan melalui pemahaman berbasis keilmuan fisioterapi. Metode PAR secara aktif melibatkan atau membangkitkan kesadaran kritis melalui pemetaan, trust building, aksi dan refleksi dan evaluasi. Hasil: Hasil pemeriksaan keseimbangan menunjukkan bahwa lansia Persatuan Wredatama Republik Indonesia, Lamongan memiliki potensi jatuh sebesar 33.3%. Kesimpulan: Edukasi tentang risiko jatuh menunjukkan adanya perubahan pengetahuan secara signifikan. Kata kunci: interleukin-6, keseimbangan, lansia, otago exercise program, risiko jatuh ____________________________________________________________________________________ Abstract Background: Elderly is the last phase of the human life cycle that begins at the age of 60 years. This phase results in a progressive decline in balance function. Objective: To educate the elderly regarding the risk of falls due to decreased balance function and provide an exercise program to minimize the progressive decline in function. Method: This service methodology adopts a Participatory Action Research (PAR) approach to alleviate health problems through a scientific-based understanding of physiotherapy. The PAR method actively involves or raises critical awareness through mapping, trust-building, action-reflection, and evaluation. Result: The results of the balance check showed that the elderly of Persatuan Wredatama Republik Indonesia, Lamongan had a potential fall of 33.3%. Conclusion: Education about the risk of falling shows a significant change in knowledge. Keywords: interleukin-6, balance, elderly, otago exercise program, fall risk
Designing a QR Code Attendance System Using BYOD (Bring Your Own Device) Djamarullah, Ahmad Raihan; Nuryasin, Ilyas; Wibowo, Hardianto
ULTIMATICS Vol 16 No 1 (2024): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v16i1.3522

Abstract

Attendance is an activity of collecting attendance data from each individual who attends events, work, and learning. The current application of attendance in certain companies, schools, or universities is still done manually using paper so it is considered less efficient and effective. Digitizing attendance activities can provide many benefits, such as making managing large amounts of attendance data easier. This is usually used in companies or schools. To reduce additional costs, this can be done by using a personal device as a medium for taking attendance, this can be called BYOD or Bring Your Own Device. The attendance that will be designed will use the user's smartphone or mobile device as a medium for taking attendance by scanning the QR code. The results of tests carried out using black box testing on mobile and web applications, shows that all the features contained in both applications are running according to their function. The use of QR Codes and also the implementation of BYOD can make it easier for users to take attendance. Apart from this, it is also easier for admins to manage user attendance data.
The Relationship Between Sitting Duration And Flexibility Hamstring Muscle In Employees At RSUD Ngimbang Hardianto Wibowo; Safun Rahmanto; Zidni Lubis
JURNAL KEPERAWATAN DAN FISIOTERAPI (JKF) Vol. 6 No. 1 (2023): Jurnal Keperawatan dan Fisioterapi (JKF)
Publisher : Fakultas Keperawatan dan Fisioterapi Institut Kesehatan Medistra Lubuk Pakam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35451/jkf.v6i1.1712

Abstract

Some employees at Ngimbang Hospital work activities are carried out in a sitting position for a long duration and almost done every day, especially for office administration employees. This will pose a risk of musculoskeletal disorders, especially hamstring muscle flexibility. A decrease in muscle flexibility will affect body fitness which can affect the work productivity of these employees. This study aims to determine the relationship between sitting duration and hamstring muscle flexibility. This study used a Cross Sectional Study research design involving 32 employee samples. Sitting duration is the independent variable while the dependent variable is hamstring muscle flexibility. The results of the normality test using the Shapiro-wilk test showed that the sitting duration variable was worth 0.000 and the hamstring muscle flexibility variable was worth 0.799, meaning that there was one variable that was not normally distributed, while the correlation test using Spearman obtained a value of 0.000 (<0.05). It is concluded that there is a relationship between sitting duration and hamstring muscle flexibility in employees at Ngimbang Hospital. The longer the duration of sitting, the more hamstring muscle flexibility decreases.
Implementation of Generative Adversarial Network (GAN) Method for Pneumonia Dataset Augmentation Chandranegara, Didih Rizki; Sari, Zamah; Dewantoro, Muhammad Bagas; Wibowo, Hardianto; Suharso, Wildan
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 2, May 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i2.1675

Abstract

As a communicable disease, the majority of pneumonia cases are brought on by bacteria or viruses, which cause the lungs' alveoli to swell with fluid or mucus. Pneumonia may arise from this and further making breathing challenging since the lungs' air sacs are unable to contain enough oxygen for the body. Pneumonia may generally be diagnosed clinically (by a physician based on physical symptoms) as well as through a photo chest radiograph, CT scan, and MRI. In this case, the lower cost of a chest radiograph examination making it as one of the most popular medical imaging tests. However, chest radiograph photo readings have a disadvantage, where it takes a long time for medical staff or physicians to identify the patient's illness since it is difficult to detect the condition. Therefore, an identification of chest radiograph imagery into various forms using machine learning becomes one way to address this issue. This research focuses on building a deep neural network model using techniques from the Generative Adversarial Network algorithm. GAN is a category of machine learning techniques using two models to be trained simultaneously, one is a generator model to generated fake data and the other is a discriminator model used to separate the raw data from the real data set images. The dataset used is Chest X-Ray images obtained from repo GitHub and repo Kaggle totaling 5,863 with normal data 1583 images and pneumonia data 4273 imagesThe results showed that the use of the Generative Adevrsarial Network method as augmentation data proved to be more effective in improving the generalization of neural networks, this can be seen from the results the result of the accuracy value obtained is 97%.
Co-Authors Abims Fardiansa Achmadi, Taufan Reza Agus Eko Minarno Ahmad Faiz, Ahmad Akbi, Denar Regata Ali Akbar Montazeri Andriyani, Vivi Aris Widayati Bayu Fajar Pratama BAYU PRASTOWO Chandra Sebastian Chandranegara, Didih Rizki Christian Sri Kusuma Aditya Dani Harmanto Dani Harmanto Daroe Iswatiningsih Dewantoro, Muhammad Bagas Diah Ayu Fitriani Didih Rizki Chandranegara Djamarullah, Ahmad Raihan Eko Budi Cahyono Eko Mulyanto Yuniarno Fachrunnisa Firdausi Firdausi, Fachrunnisa Firmansyah, Tino Fitriani, Diah Ayu Hapzi Ali Harmanto, Dani Hazmi Rizky Heni Pujiastuti Ibnu Jahsy Karyati, Rina L. Yasril Imam Lailatul Huasniah Lailatul Husniah Lusianti, Aaliyah Matahari Bhakti Nendya, Matahari Bhakti Mauridhi Hery Purnomo Mochammad Yusuf Fachroni Moh Ridwan Multohadi Hamzaturrazak Naser Jawas, Naser Norhabibah, Siti Novidianto, Raditya Nuryasin, Ilyas Raditya Novidianto Raffi Ainul Afif Rahayu Nurul Khasanah Rina Karyati Sabrina Nurul Ubay Safun Rahmanto Sari, Zamah Siti Norhabibah Sofyan Arifianto Sofyan Arifianto Sumadi, Fauzi Dwi Setiawan Syaifuddin Syaifuddin Taufan Reza Achmadi Tino Firmansyah Ubay, Sabrina Nurul Vivi Andriyani Vizza Dwi Vitanti Wahyu Andhyka Kusuma Wicaksono, Galih Wasis Wildan Suharso Wildan Suharso Wildan Suharso Yuda Munarko Yufis Azhar Zamah Sari Zidni Lubis