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All Journal Cakrawala Pendidikan Jurnal Buana Informatika PROCEEDING IC-ITECHS 2014 SMATIKA Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTEGER: Journal of Information Technology Network Engineering Research Operation [NERO] SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Scientific Journal of Informatics Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Indonesian Journal of Electrical Engineering and Computer Science Indonesian Journal of Instructional Media and Model Jurnal Pengabdian Masyarakat Asia Jurnal Teknik Informatika (JUTIF) Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) International Journal of Community Service Jurnal Masyarakat Madani Indonesia Jurnal Informatika Polinema (JIP) Journal of Information Technology and Cyber Security Jeskovsia (Jurnal Desain Komunikasi Visual Asia) Jurnal ilmiah teknologi informasi Asia Smatika Jurnal : STIKI Informatika Jurnal
Suastika Yulia Riska
Institut Teknologi Dan Bisnis Asia Malang
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WORKSHOP PENDAMPINGAN BISNIS TEKNOLOGI CERDAS “SMART TRASH BIN” DESA KESAMBEN, KECAMATAN NGAJUM, MALANG, INDONESIA Dura, Justita; Cahyaningtyas, Fadilla; Yogatama, Ahmad Nizar; Bukhori, Mohammad; Hanif, Rifki; Aqromi , Nur Lailatul; Afiyah, Siti Nurul; Riska, Suastika Yulia; Farokah, Lia; Arifin, Jaenal; Islamiyah, Mufidatul; Arifin, Samsul; Jatmika, Sunu
Indonesian Journal of Engagement, Community Services, Empowerment and Development Vol. 4 No. 3 (2024): Indonesian Journal of Engagement, Community Services, Empowerment and Developme
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ijecsed.v4i3.169

Abstract

Kesamben Village, Ngajum District, Malang Regency faces serious problems in waste management that have an impact on the environment and public health. This community service program aims to introduce "Smart Trash Bin" technology as an innovative solution in improving the efficiency and effectiveness of waste management in the village. This technology uses automatic sensors that allow people to dispose of garbage without touching the trash can, making it more hygienic and comfortable. Early results show high enthusiasm from the public for this technology, which can be seen from active participation in socialization, training, and question and answer sessions. The application of this technology has also succeeded in improving environmental cleanliness and reducing health risks. However, some challenges such as high implementation costs and difficulties in technology adaptation still need to be overcome through adequate financial support and ongoing training. With collaboration between the government, local communities, and related parties, this program has great potential to become a model in the application of smart technology for sustainable waste management in other regions.
Perancangan Game IDO untuk Pembelajaran Kosa Kata Bahasa Inggris Menggunakan Construct 2 Suastika Yulia Riska; Widya Adhariyanty Rahayu
Jurnal Desain Komunikasi Visual Asia Vol 2 No 1 (2018): Volume 2 Nomor 1 (5)
Publisher : Lembaga Penelitian Pengembangan dan Pengabdian Kepada Masyarakat STMIK Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jeskovsia.v2i1.315

Abstract

Bahasa inggris merupakan salah satu mata kuliah yang masih menjadi beban. hal tersebut dikarenakan kurangnya minat mahasiswa dalam belajar bahasa inggris, khususnya dalam memperbanyak kosa kata bahasa inggris. sehingga, dikembangkan game untuk meningkatkan kosa kata bahasa inggris. nama game dalam penelitian ini adalah “english with ido”. Pengembangan game menggunakan construct 2. adapun konsep dari game ini adalah game platform yang dikombinasikan dengan kuis. pengujian game ini dilakukan secara uji fungsional dan kuisioner dengan jumlah 70 responden. adapun prosentase berupa aspek penilaian tampilan game menyatakan sangat setuju sebesar 74%, prosentase durasi waktu menyatakan setuju sebesar 50%, prosentase daya tarik mahasiswa untuk belajar menyatakan sangat setuju sebesar 52%, prosentase kemudahan belajar menyatakan setuju sebesar 49%, dan pentingnya game kosa kata menyatakan setuju sebesar 51%. Secara keseluruhan responden menyatakan setuju dan sangat setuju dari penerapan game english with ido.
Klasifikasi Level Kematangan Tomat Berdasarkan Perbedaan Perbaikan Citra Menggunakan Rata-Rata RGB Dan Index Pixel Suastika Yulia Riska
Jurnal Ilmiah Teknologi Informasi Asia Vol 9 No 2 (2015): Volume 9 Nomor 2 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

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

Abstract

Tomat merupakan salah satu buah yang memiliki proses kematangan relative cepat. Sehingga, klasifikasi level kematangan tomat memiliki peran yang penting untuk mengurangi resiko pembusukan tomat. Sebelum proses klasifikasi dilakukan, pada tahap preprocessing dilakukan perbaikan citra untuk meningkatkan kualitas citra. Pada penelitian ini, pengambilan citra tomat dilakukan di luar ruangan yang mengakibatkan adanya area lighting pada permukaan tomat. Perbaikan dilakukan untuk menutup dan mengganti nilai area lighting dengan komponen nilai yang terkandung dalam tomat. Perbaikan dilakukan dengan dua cara, yaitu dengan rata-rata RGB dan pencarian nilai index piksel. Tahap selanjutnya adalah segmentasi untuk memisahkan objek tomat dengan background. Hasil klasifikasi level kematangan tomat menunjukkan akurasi berdasarkan perbaikan citra dengan rata-rata RGB sebesar 86,7 % dan akurasi berdasarkan perbaikan penggantian nilai dengan pencarian index piksel sebesar 76,7 %
PERFORMANCE COMPARISON OF FASTER R-CONVOLUTIONAL NEURAL NETWORK (CNN) AND EFFICIENTNET FOR TRAIN DETECTION UNDER DIVERSE LIGHTING AND IMAGE QUALITY CONDITIONS Riska, Suastika Yulia; Noercholis, Achmad
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 6 (2024): JUTIF Volume 5, Number 6, Desember 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.6.3438

Abstract

Object detection using computer vision has seen rapid advancements, especially with the advent of deep learning architectures such as Faster R-CNN and EfficientNet. This study compares the performance of the two models in detecting trains in various lighting conditions and noise disturbances. The dataset used consisted of 4500 train images which were divided into 70% for training, 20% for validation, and 10% for testing, reflecting real-world conditions. The evaluation was carried out using the Intersection over Union (IoU), Average Precision (AP), and Average Recall (AR) metrics. The results show that Faster R-CNN consistently excels in terms of detection accuracy, especially in less than ideal lighting conditions and under rain noise interference. In sufficient lighting conditions, Faster R-CNN showed a slightly superior AP score with a score of 0.844. As the lighting decreased, the difference between the two models became more pronounced, with Faster R-CNN recording an AP value of 0.810. In conditions with rain noise interference, the object detection performance of both models decreased more significantly, but the Faster R-CNN still excelled with an AP value of 0.798. Although EfficientNet is more efficient in terms of training speed, with a time of 5 hours and 37 minutes, and a smaller model size, Faster R-CNN shows higher reliability in complex environmental situations. This research provides important insights for the development of reliable and efficient train detection systems, taking into account the trade-off between resource efficiency and detection accuracy.
Analisis Klasterisasi Penyakit Malaria Menggunakan Metode K-Means di Indonesia Faqih, Luthfi Ramdhan; Riska, Suastika Yulia
Jurnal Ilmiah Teknologi Informasi Asia Vol 18 No 1 (2024): Volume 18 Nomor 1 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v18i1.991

Abstract

Malaria is a dangerous and potentially deadly disease in Indonesia. The spread and transmission of malaria occurs very rapidly. The aim of this study was to identify clusters within the state based on the intensity of malaria cases. In this study, K-means was applied to the clustering process using the values ​​of K=2, K=3, and K=5. This means that the Davis-Boldan index value for K=2 is 0.033, the Davis-Boldan index value for K=3 is 0.034, and the Davis-Boldan index value for K=5 is 0.262. The research results show that using K-Means with K=2 yields the best cluster with the lowest Davies-Bouldin index value (0.033). This will help the government plan more effective preventive measures in different provinces of Indonesia in the coming years. Therefore, this study makes an important contribution to malaria control efforts to reduce malaria incidence and public health impact in Indonesia.
Pencarian lokasi gym di Malang menggunakan metode simple additive weighting: studi kasus di Institut Asia Malang Prasetyo, Bima; Riska, Suastika Yulia
Jurnal Ilmiah Teknologi Informasi Asia Vol 19 No 1 (2025): Volume 19 nomor 1 2025 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v19i1.1114

Abstract

The main problem in this research is the large selection of gyms in Malang Raya with various different criteria, which makes the process of selecting the right gym difficult for prospective users. This research aims to develop the best gym location recommendation system in Malang Raya using the Simple Additive Weighting (SAW) method. The SAW method is used to evaluate gyms based on the main criteria, namely price, facilities, cleanliness, mentoring system, and distance. Data collected through surveys and observations was then analyzed using SAW to produce a ranking of gyms in the region. The results showed that Momon Gym ranked first with the highest score, while WWGYM ranked last. Tests comparing the actual ranking results with the results from the computer program using the SAW method showed high consistency, indicating that the method is reliable in providing objective recommendations. This research also shows that SAW is effective in analyzing multi-criteria data for more accurate and efficient decision-making in selecting gyms that match users' preferences.
Penerapan Knowledge-based system untuk Identifikasi Penyakit Pencernaan dan Pernapasan Manusia Prasetya, Hafid Arjul; Riska, Suastika Yulia
INTEGER: Journal of Information Technology Vol 10, No 1 (2025): April
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2024.v10i1.7580

Abstract

Digestive and respiratory diseases are often considered common, but if left untreated, they can lead to death. Lack of public awareness regarding the importance of medical consultation and limited operational time of health services cause many individuals to self-diagnose diseases. This research aims to develop a knowledge-based system to diagnose digestive and respiratory diseases in humans. This system is expected to provide accurate and relevant diagnosis solutions, as well as support the prevention and early treatment of these diseases. This research includes 8 types of diseases analyzed along with 29 symptoms. The process started with identifying the problem area and determining the decision target based on the data of 8 diseases, followed by the creation of a dependency diagram. Next, IF-THEN rules were developed, and after the rules were formed, the next step was to structure the Backward Chaining and Certainty factor process. This process resulted in the conclusion of the diagnosis of digestive and respiratory diseases. During system testing, the diagnosis results are compared with the expert's knowledge. This test aims to ensure a match between the system results and expert knowledge and to test the accuracy of the data obtained. Based on the results of testing 10 samples of processed data, the system showed an accuracy rate of 100%, which proves that this knowledge-based system works well and in accordance with expert knowledge.
Analysis and Development of Eight Deep Learning Architectures for the Classification of Mushrooms Lia Farokhah; Suastika Yulia Riska
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 1 (2024): February 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i1.5498

Abstract

One food item that is easy to find in nature is the mushroom. In terms of form and characteristics, mushrooms are similar. Arranging mushrooms into groups so that poisonous and non-poisonous ones can be separated is important. Real-time analysis of mushrooms is still not used very often. Previous studies focused primarily on performance and accuracy, ignoring architectural computing and a significant amount of data preprocessing. The data set used is more laboratory-conditioned. This will impede the process of widespread implementation. The study suggests changes to eight current architectures: Modified DenseNet201, DenseNet121, VGG16, VGG19, ResNet50, InceptionNetV3, MobileNet, and EfficientNet B1. The development of this architecture took place within the areas of classification and hyperparameter learning. In contrast to the other eight architectures, the MobileNet architecture exhibits the lowest computational performance and highest accuracy, according to the comparison results. When the confusion matrix is used for evaluation, an accuracy of 82.7% is achieved. Modified MobileNet has the best speed because it keeps a lower computation architecture and cuts down on unnecessary preprocessing. This means that many people can use smartphones with more realistic data conditions to make it work.
Utilizing AI to Optimize Product Sales at UD Bima Baru Widayanti, Lilis; Vivi Aida Fitria; Adriani Kala’lembang; Widya Adhariyanty Rahayu; Suastika Yulia Riska
Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025): Jurnal Pengabdian Masyarakat
Publisher : Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jpm.v6i1.2454

Abstract

Purpose: The study aims to evaluate the effectiveness of activities in reaching participants, achieving training goals, improving proficiency, and enhancing sales through AI technologies. Method: This study teaches and evaluates the use of AI in sales optimization through lectures, demonstrations, tasks, and question-and-answer meetings. How well the activity worked is judged by how well the players met the goals and understood the material. Practical Application: The participants from UD. Bima Baru showed high levels of enthusiasm and engagement during each session of the activity. This indicates the possibility for enhancing their skills, operational efficiency, and revenue, while also fostering collaboration and fostering creativity in the future. Conclusion: Artificial intelligence (AI) has considerable potential to augment sales for MSMEs, like UD Bima Baru, through data-driven decision-making. Effective AI adoption requires practical experience, underscoring the significance of collaboration between academia and MSMEs in providing education, training, and mentorship. This collaboration fosters technological adoption and enhances local economic growth by generating practical, concrete ideas. Future training must include sequential courses for MSMEs to leverage AI.
Boundless Creativity: Vlogging with a Smartphone in the Digital Era Kala'lembang, Adriani; Riska, Suastika Yulia; Widayanti, Lilis; Rahayu, Widya Adhariyanty; Fitria, Vivi Aida
Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025): Jurnal Pengabdian Masyarakat
Publisher : Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jpm.v6i1.2475

Abstract

Purpose: This community service aims to enhance the technical skills of students at SMK Negeri 12 Malang in digital vlog creation. Method: The program involves training sessions using lectures and hands-on practice to improve lighting techniques. Practical Application: This initiative has a significant impact on vlog production by following essential steps, including framing techniques, lighting, and video editing. Conclusion: This program enhances students' creativity and skills in vlog creation.
Co-Authors A.A. Ketut Agung Cahyawan W Abdul Aziz Muslim Abdul Aziz Muslim Achmad Noercholis Adriani Kala'lembang Adriani Kala’lembang Adriani Kala’lembang Agustinus Susanto, Syalomiele Pratama Ahda, Fadli Almu'ini Amin, Angger Nur Aqromi , Nur Lailatul BUKHORI, MOHAMMAD Fadhli Almu'ini Ahda Fadhli Almu’iini Ahda Fadilla Cahyaningtyas Faqih, Luthfi Ramdhan Farokah, Lia Farokhah, Lia Febrindasari, Chyndy Ginardi, R.V. Hari Hakkun Elmunsyah Hanif, Rifki Jaenal Arifin Justita Dura Kala'lembang, Adriani Lailatul Aqromi, Nur Laili Cahyani Lilis Widayanti Mufidatul Islamiyah, Mufidatul Muhammad Imron Rosadi Muhammad Imron Rosadi Nanik Suciati Nanik Suciati Nira Rusanti Prasetya, Hafid Arjul Prasetyo, Bima Puji Subekti R. V. Hari Ginardi Rahmawati, Nisrina Salsabil Reda Maulidina Restu Andra Ahmad Saeroji Rina Dewi Indah Sari Rina Dewi Indahsari Samsul Arifin Setyorini Setyorini Siti Maharani, Farah Shafiyah Siti Nurul Afiyah Siti Sendari Suci Imani Putri Sulistyo, Danang Arbian Sunu Jatmika, Sunu Syaad Patmanthara T. Bantug, Emilsa Triyanna Widiyaningtyas Vivi Aida Fitria Widya Adhariyanty Rahayu Widya Adhariyanty Rahayu Yogatama, Ahmad Nizar Yogie Susdyastama Putra Yudistira Arya Sapoetra