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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan Jurnal Pendidikan Indonesia Sistemasi: Jurnal Sistem Informasi Knowledge Engineering and Data Science Jurnal Teknologi Informasi dan Pendidikan Sains, Aplikasi, Komputasi dan Teknologi Informasi International Journal of Applied Business and Information Systems Belantika Pendidikan JIPB (Jurnal Inovasi Pembelajaran Biologi) International Journal of Robotics and Control Systems Journal of Disruptive Learning Innovation (JODLI) JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) Central Community Development Journal Jurnal Pengabdian Kepada Masyarakat
Muhammad Iqbal Akbar
Universitas Negeri Malang
Religion Aerospace Engineering Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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User Interface and User Experience Design in Digital Learning Applications for Autistic Users with the Human-Centered Design Method Nurdin, Muhammad Iman; Ashar, Muhammad; Akbar, Muhammad Iqbal; Lesmana, I Putu Dody
Journal of Disruptive Learning Innovation (JODLI) Vol 4, No 1 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um072v4i12022p24-31

Abstract

Currently in Indonesia there are millions of school-age children. Some of them still have difficulty in accessing education, including children with special needs. Children with special needs are part of a society that is classified as vulnerable. Some institutions state that they are 10 times more likely to be out of school. Even when they go to school, the learning they receive tends to be not optimal, especially for autistic children. Autism is a disorder of overall human development that results in barriers to socialization, communication, and behavior. With the various obstacles they have, the learning process they receive tends to be less than optimal if it is not balanced with adequate facilities and infrastructure. Therefore, in this study, researchers want to design a digital learning application for autistic users based on a website, where the User Interface (UI) and User Experience (UX) of the learning application are tailored to the user's needs. By using the Human-Centered Design (HCD) method that focuses on humans in its manufacture. With these grounds and reasons, it is hoped that this research can produce a UI UX with a good level of usability, effectiveness, and user satisfaction.
Pengembangan Sistem Manajemen Surat (SMART) sebagai Solusi Permasalahan Arsip Surat di Kantor Bea Cukai Malang Akbar, Muhammad Iqbal; Ayudhitama, Annisa Putri; Smaragdina, Azhar Ahmad; Soraya, Dila Umnia
Jurnal Teknologi Informasi dan Pendidikan Vol. 17 No. 2 (2024): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v17i2.868

Abstract

The study aims to create a digital mail management system, known as SMART, to address the inefficiencies of the current manual letter archiving system at the Malang Customs and Excise Supervision and Service Office. The existing system, which relies on Microsoft Excel, is time-consuming and prone to errors. This leads to difficulties in searching for specific letter scans and the potential loss of hard-file archives. The SMART system, designed using the Waterfall Method and the CodeIgniter framework, is a web-based information system that allows the management of incoming, outgoing, and internal letters in a digital format. The system includes features such as inserting, updating, and deleting letters, as well as uploading scanned letter files. According to the System Usability Scale (SUS) test results, the SMART application is highly usable, with an average score of 93.50, which exceeds the benchmark of 68. The implementation of SMART is expected to significantly improve the efficiency of the administration section's document archiving process, enhancing the accessibility and management of letter archives at the Malang Customs and Excise Supervision and Service Office.
Implementation of the asset management system in PT. Bara Prima Utama Asmara, Rina Yuliastuty; Kamil, Islamiah; Akbar, Muhammad Iqbal; Ariani, Meiliyah
Central Community Development Journal Vol. 4 No. 2 (2024): December 2024
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/ccdj.v4i2.345

Abstract

Effective asset management is a key factor for supporting the sustainability of mining company operations. This community benefits from the execution of the Resource Administration Framework at PT. Bara Prima Utama, which works within the coal mining division. This framework is planned to improve the proficiency of observing, upkeeping, and administering the company's settled resources to optimize resource utilization and decrease operational costs. Through the application of data innovation in resource information administration, a company can distinguish resource conditions in real time and make quicker and more exact vital choices. In expansion, preparation for asset administration staff is additionally carried out to guarantee the ability to work this unused system. This execution is anticipated to extend the efficiency and support of a company's operations and amplify the life of resources. This program also bolsters the company's commitment to a more proficient and dependable administration of assets.
Hand Keypoint-Based CNN for SIBI Sign Language Recognition Handayani, Anik Nur; Amaliya, Sholikhatul; Akbar, Muhammad Iqbal; Wiryawan, Muhammad Zaki; Liang, Yeoh Wen; Kurniawan, Wendy Cahya
International Journal of Robotics and Control Systems Vol 5, No 2 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i2.1745

Abstract

SIBI is less widely adopted, and the lack of an efficient recognition system limits its accessibility. SIBI gestures often involve subtle hand movements and complex finger configurations, requiring precise feature extraction and classification techniques. This study addresses these issues using a Hand Keypoint-based Convolutional Neural Network (HK-CNN) for SIBI classification. The research utilizes Kinect 2.0 for precise data collection, enabling accurate hand keypoint detection and preprocessing. The optimal data acquisition distance between 50 and 60 cm from the camera is considered to obtain clear and detailed images. The methodology includes four key stages: data collection, preprocessing (keypoint extraction and image filtering), classification using HK-CNN with ResNet-50, EfficientNet, and InceptionV3, and performance evaluation. Experimental results demonstrate that EfficientNet achieves the highest accuracy of 99.1% in the 60:40 data split scenario, with superior precision and recall, making it ideal for real-time applications. ResNet-50 also performs well with 99.3% accuracy in the 20:80 split but requires longer computation time, while InceptionV3 is less efficient for real-time applications. Compared to traditional CNN methods, HK-CNN significantly enhances accuracy and efficiency. In conclusion, this study provides a robust and adaptable solution for SIBI recognition, facilitating inclusivity in education, public services, and workplace communication. Future research should expand dataset diversity and explore dynamic gesture recognition for further improvements.
PENERAPAN MESIN SPINNER BERBASIS INVERTER UNTUK MENINGKATKAN PRODUKTIVITAS DAN KUALITAS KACANG METE PADA UMKM DININAS Widiyaningtyas, Triyanna; Mustika, Soraya Norma; Mahandi, Yogi Dwi; Akbar, Muhammad Iqbal; Sujito, Sujito; Falah, Moh Zainul
Jurnal Pengabdian Pendidikan Masyarakat (JPPM) Vol 4 No 2 (2023): Jurnal Pengabdian Pendidikan Masyarakat Vol 4 No 2 (2023)
Publisher : LPPM UNIVERSITAS MUHAMMADIYAH MUARA BUNGO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jppm.v4i2.1370

Abstract

Cashew nuts are the fruit of the cashew plant, the most important of which is the cashew nut itself. Cashews are one of the most traded nut products. One of the MSMEs located in Singosari, Malang Regency is an MSME engaged in processed food products, namely cashew nuts. This MSME is called Dininas. This business was initiated by Mrs. Dini Mei Nastiti and has been established since 2018. Mrs. Dini's business produces around 10 – 50 kg per day with production in the form of cashew nuts. The problem faced by partners is the slicing process which still uses the conventional method, namely draining naturally by placing it in a container covering it with oil-absorbing paper, and then aerating it. Therefore the solution that is relevant in community service is the application of Inverter-based Spinner machines are more optimal, hygienic, and efficient to increase the amount of production. It is hoped that this community service with the application of Inverter-based Spinner machines can help Dinias SMEs in producing cashew nuts and meet demands from consumers. In addition, this machine is also expected to increase the productivity, quantity, hygiene, and quality of cashew nuts as well as increase profits for business managers.
Pelatihan Program Proklim Berbasis Kawasan Rumah Pangan Lestari RW 10 Kelurahan Lowokwaru Kota Malang Mimien Henie Irawati Al Muhdhar; Siti Imroatul Maslikah; Muhammad Iqbal Akbar; Sueb Sueb; I Wayan Sumberartha
Abdinesia: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2024): Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Nahdlatul Ulama Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69503/abdinesia.v4i1.573

Abstract

PROKLIM merupakan salah satu agenda prioritas dunia untuk menyelamatkan kehidupan di bumi dan mengembangkan keberlanjutan pembangunan nasional guna tercapainya target pengurangan gas rumah kaca dan meningkatkan ketahanan terhadap dampak perubahan iklim. Potensi RW 10 Kelurahan Lowokwaru pasca program zero waste zone untuk dikembangkan sebagai PROKLIM melatarbelakangi usulan program pengabdian kepada masyarakat ini. Pada Tahun 2014, RW 10 Kelurahan Lowokwaru telah dilakukan pengembangan sebagai percontohan zero waste zone. Keberhasilan tersebut ditandai dengan meningkatnya pengetahuan, sikap, dan perilaku masyarakat terhadap program zero waste zone. Namun, karena kurang mendapat pemantauan dan pembiasaan kepada warga maka kondisi beberapa fasilitas sudah ada yang tampak tidak difungsikan secara maksimal oleh masyarakat. Untuk memecahkan masalah tersebut perlu dilakukan sebuah kegiatan yang mampu untuk memberi edukasi kepada warga sekaligus membiasakan warga. Target dari kegiatan ini adalah (1) peningkatan pemahaman dan sikap warga RW 10 Kelurahan Lowokwaru Kota Malang dalam mendukung penerapan program zero waste zone secara berkelanjutan, (2) peningkatan pemahaman warga RW 10 Kelurahan Lowokwaru tentang PROKLIM dan KRPL, (3) terwujudnya PROKLIM berbasis KRPL di RW 10 Kelurahan Lowokwaru Kota Malang.
Pengembangan Desain UI/UX Pada Aplikasi Farmasi Untuk Kepatuhan Obat Berbasis Website Menggunakan Metode Sprint Muhammad Adi Pramono; Muhammad Ashar; Muhammad Iqbal Akbar
TEKNO Vol 34, No 1 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um034v34i1p37-47

Abstract

Hipertensi atau tekanan darah tinggi merupakan tekanan darah pada arteri meningkat secara terus menerus. Hipertensi dapat menjadi kondisi serius karena dapat meningkatkan risiko terjadinya komplikasi kesehatan yang serius, seperti penyakit jantung, stroke, gagal ginjal, dan masalah pembuluh darah lainnya. Jika pengobatan yang dilakukan oleh pengidap hipertensi tidak tepat waktu akan menurunkan efisiensi dari pengobatan hipertensi itu sendiri dan akan memicu risiko terjadinya komplikasi kesehatan. Penelitian ini berfokus untuk merancang serta mengembangkan desain dari sebuah website monitoring yang akan digunakan oleh apoteker maupun dokter dalam memantau konsumsi obat pasien pengidap hipertensi. Alur pengembangan sistem dari penelitian ini menggunakan metode sprint yang memiliki langkah-langkah (1) Understand, (2) Sketch, (3) Decide, (4) Prototype, dan (5) Validate. Pengujian dan evaluasi terhadap rancangan desain menggunakan metode heuristic evaluation. Penelitian ini menghasilkan desain tampilan dari aplikasi Makobat yang dapat digunakan untuk memantau kepatuhan pasien dalam meminum obat tepat waktu berdasarkan waktu yang telah ditetapkan oleh apoteker. Setelah dilakukan validasi, telah dilakukan perbaikan untuk tampilan serta penambahan fitur buku panduan untuk dapat digunakan oleh user.
Inovasi Pembelajaran: Pengembangan Eco-Explorer Game Terintegrasi SDGS Terhadap Dimensi Bergotong Royong dan Hasil Belajar Kognitif Juwita Oktaviani; Mimien Henie Irawati Al-Muhdhar; Sofia Ery Rahayu; Sueb Sueb; Deny Setiawan; Wachidatul Linda Yuhanna; Nunik Hidayati; Muhammad Iqbal Akbar
Jurnal Inovasi Pembelajaran Biologi Vol 7 No 1 (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jipb.v7n1.p1-20

Abstract

Learning ecosystem material can be taught in line with efforts to realize the Sustainable Development Goals, one of which is the point of Life on Land. Learning media plays a crucial role in facilitating effective learning and offers advantages, especially in terms of flexibility and interactivity. This development aims to produce a website-assisted learning product, the Eco-Explorer Game, which is effective in improving the dimensions of mutual cooperation and cognitive learning outcomes. The development process follows the Lee & Owens model, which consists of five stages: analysis, design, development, implementation, and evaluation. In the implementation stage, this study used a pre-experimental design with a one-group pretest-posttest technique, with a sample consisting of 36 tenth-grade students at SMAN 1 Singosari. Quantitative data were collected through two main instruments: pretest and posttest scores to measure cognitive learning outcomes, and observation sheets equipped with a quantitative assessment rubric to measure the dimensions of mutual cooperation (collaboration, caring, and sharing). The data analysis technique to measure the improvement of both variables used the N-Gain test. The collected data shows that the game is proven to be effective in improving the dimensions of mutual cooperation and students' cognitive learning outcomes as indicated by the increase in the average achievement results of each indicator both in the dimensions of mutual cooperation (from the initial 56.1 to 88.7) and also cognitive learning outcomes (from the initial 66.8 to 87.7). The N-Gain score obtained from the observation sheet for the dimensions of mutual cooperation shows a high score of 0.7. Furthermore, cognitive learning outcomes show an N-Gain score of 0.62, which is included in the moderate category. Based on these findings, it can be concluded that the Eco-Explorer Game is very effective in improving the dimensions of mutual cooperation of students and is quite effective in improving their cognitive learning outcomes.
The Effect of Resampling on Classifier Performance: anEmpirical Study Pujianto, Utomo; Akbar, Muhammad Iqbal; Lassela, Niendhitta Tamia; Sutaji, Deni
Knowledge Engineering and Data Science
Publisher : citeus

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

Abstract

An imbalanced class on a dataset is a common classification problem. The effect of using imbalanced class datasets can cause a decrease in the performance of the classifier. Resampling is one of the solutions to this problem. This study used 100 datasets from 3 websites: UCI Machine Learning, Kaggle, and OpenML. Each dataset will go through 3 processing stages: the resampling process, the classification process, and the significance testing process between performance evaluation values of the combination of classifier and the resampling using paired t-test. The resampling used in the process is Random Undersampling, Random Oversampling, and SMOTE. The classifier used in the classification process is Naïve Bayes Classifier, Decision Tree, and Neural Network. The classification results in accuracy, precision, recall, and fmeasure values are tested using paired t-tests to determine the significance of the classifier's performance from datasets that were not resampled and those that had applied the resampling. The paired t-test is also used to find a combination between the classifier and the resampling that gives significant results. This study obtained two results. The first result is that resampling on imbalanced class datasets can substantially affect the classifier's performance more than the classifier's performance from datasets that are not applied the resampling technique. The second result is that combining the Neural Network Algorithm without the resampling provides significance based on the accuracy value. Combining the Neural Network Algorithm with the SMOTE technique provides significant performance based on the amount of precision, recall, and f-measure. T
Can Multinomial Logistic Regression Predicts Research Group using Text Input? Rosyid, Harits Ar; Putra, Aulia Yahya Harindra; Akbar, Muhammad Iqbal; Dwiyanto, Felix Andika
Knowledge Engineering and Data Science
Publisher : citeus

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

Abstract

While submitting proposals in SISINTA, students often confuse or falsely submit their proposals to the less relevant or incorrect research group. There are 13 research groups for the students to choose from. We proposed a text classification method to help students find the best research group based on the title and/or abstract. The stages in this study include data collection, preprocessing data, classification using Logistic Regression, and evaluation of the results. Three scenarios in research group classification are based on 1) title only, 2) abstract only, and 3) title and abstract. Based on the experiments, research group classification using title-only input is the best overall. This scenario gets the most optimal results with accuracy, precision, recall, and f1-score successively at 63.68%, 64.91%, 63.68%, and 63.46%. This result is sufficient to help students find the best research group based on the text titles. In addition, lecturers can comment more elaborately since the proposals are relevant to the research group’s scope.
Co-Authors Agung Wibowo Aji Prasetya Wibawa Akhimullah Akmal Fattah Alfian - Daud Amaliya, Sholikhatul Anik Nur Handayani Annisa Tullulu Kaunar Ashar, Muhammad Aulia Yahya Harindra Putra Ayudhitama, Annisa Putri Azhar Ahmad Smaragdina Daud, Alfian - Deni Sutaji Deny Setiawan Deny Setiawan Dessy Rif’a Anzani Dicki Dwi Prasetya Dila Umnia Soraya Dwiyanto, Felix Andika Falah, Moh Zainul Felix Andika Dwiyanto Harits Ar Rosyid Harviansyah, Yushivan Rendi Hidayatul Ma'rifah I Made Wirawan I Putu Dody Lesmana I Wayan Sumberartha Islamiah Kamil Juwita Oktaviani Kaunar, Annisa Tullulu Kurniawan, Wendy Cahya Lassela, Niendhitta Tamia Liang, Yeoh Wen M Nasir Tamalene Mardiyanti , Lely Meiliyah Ariani, Meiliyah Mimien Henie Irawati Moh Zainul Falah Muhammad Adi Pramono Nidhom, Ahmad Mursyidun Niendhitta Tamia Lassela Ningrum, Gres Dyah Kusuma Nunik Hidayati Nurdin, Muhammad Iman Putra, Aulia Yahya Harindra Retno Indah Rokhmawati Rina Yuliastuty Asmara Roni Herdianto Siti Imroatul Maslikah Sofia Ery Rahayu Soraya Norma Mustika Sueb Sujito Sujito Suminah Suminah Triyanna Widiyaningtyas Utomo Pujianto Wachidatul Linda Yuhanna Wawan Suprianto Nadra Wiryawan, Muhammad Zaki Yogi Dwi Mahandi Zaeni, Ilham Ari Elbaith