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All Journal JAIS (Journal of Applied Intelligent System) Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Pengabdian Masyarakat (ABDIRA) Ngudi Waluyo Empowerment : Jurnal Pengabdian Kepada Masyarakat
Suamanda Ika Novichasari
Teknologi Informasi, Universitas Tidar
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Particle Swarm Optimization For Improved Accuracy of Disease Diagnosis Suamanda Ika Novichasari; Iwan Setiawan Wibisono
Journal of Applied Intelligent System Vol 5, No 2 (2020): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v5i2.4242

Abstract

The increasing number of patients suffering from various diseases and the impact and high cost of medical treatment for the community has made the government or health communities seek solutions for prevention from an early age. This valuable information can be found using artificial intelligence and data mining. Most diseases are dangerous; if detected early and adequate diagnosis and treatment are available, there will be a chance for a cure. The main objective of this study was to use Particle Swarm Optimization (PSO) to improve the accuracy of several classification methods, namely Naive Bayes, C4.5, Support Vector Machine (SVM), and Neural Network (NN) to detect heart disease, hepatitis, kidney, and breast cancer. The method used in this research is the CRISP-DM model, with 5 stages. The data used were four disease data from UCI Machine Learning. The result of this research is that PSO can improve the accuracy of Naive Bayes, C4.5, SVM, and NN.
Pendampingan Penggunaan Aplikasi Petadampot untuk Meningkatkan Pendidikan Keterampilan Hidup Siswa Sekolah Dasar Kartika Yuni Purwanti; Suamanda Ika Novichasari; Zulmi Roestika Rini
Jurnal Pengabdian Masyarakat (abdira) Vol 1, No 2 (2021): Abdira, Oktober
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v1i2.41

Abstract

This service is aimed at Grade 4 students at SDN Jubelan 01, Sumowono District, Semarang Regency. The problems faced by partners are that students are not equipped with knowledge about life skills education, have not been empowered to grow vegetables and fruit in pots, and students' knowledge is only limited to planting plants in pots without paying attention to plant needs. The methods used are socialization, demonstration and practice as well as monitoring and evaluation. The results of this training activity participants have experienced an increase in PKH by an average of 92.17%, namely student knowledge about PKH 100%, knowledge about tabulampot 83.49%, student skills in planting tabulampot 93.76% and student knowledge about plant care 91.44%. Therefore, the results of this health literacy training activity can be said to be successful in the very good category. Petadampot media helps students in taking care of plants so that they can improve student survival education, especially in terms of food security. This activity is expected to be one of the school's flagship programs that can be a source of school income.
Application of PSO in CNN attribute weighting for banana tree classification based on leaf images Novichasari, Suamanda Ika; Nata, Imam Adi
(JAIS) Journal of Applied Intelligent System Vol. 8 No. 3 (2023): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i3.9170

Abstract

Banana (Musa paradisiaca) is a very popular fruit in Indonesia. Banana production in Indonesia, with more than 200 types of bananas, accounts for more than 50% of banana production in Asia. Differences in how to consume Ambon bananas and Kepok bananas and their various benefits encourage cultivators to be careful in choosing seeds to avoid mistakes. Distinguishing the seeds of Ambon bananas and kepok bananas is more difficult than distinguishing between Ambon bananas and kepok bananas. This is because the leaves and stems of the seeds look the same. The purpose of this study is to use an optimization algorithm to improve the performance of the image classification algorithm on the image of kepok banana leaves and Ambon bananas to assist in the selection of banana plant seeds that can be used by banana cultivators to get the maximum benefit according to the desired type of banana. The results of this study are used as the basis for making a decision support system to assist in the selection of banana plant seeds that can be used by banana cultivators in order to get the maximum benefit according to the desired type of banana
Pelatihan Pembuatan Media Pembelajaran Interaktif Berwawasan Kesehatan bagi Pendidik PAUD Kecamatan Ungaran Timur Syifa Fauziah; Suamanda Ika Novichasari; Swantyka Ilham Prahesti
Ngudi Waluyo Empowerment: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 1 (2022): Ngudi Waluyo Empowerment: Jurnal Pengabdian Kepada Masyarakat
Publisher : Fakultas Komputer dan Pendidikan Universitas Ngudi Waluyo

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

Abstract

The health-oriented interactive learning media training aims to provide skills for PAUD teachers in the East Ungaran sub-district in making interesting learning media using a very relatively easy way. The low level of PAUD educators in mastering the field of computer technology, given the times that are increasingly demanding PAUD educators take part as positive message givers through the media. Lack of mastery of technology is one of the causes of the low level of education in Indonesia and is very lagging behind developed countries. It is time for teachers to play an active role in the world of education so that they can keep up with the times and make it easier for teachers to deliver planned teaching materials. The outputs of this service activity are: Implementing a training program for making health-oriented interactive learning media for PAUD Educators, PKG Members, East Ungaran Sub-district for 20 people, Increasing the ability to control PAUD educators in making health-oriented interactive learning media. The creation of a learning work using health-oriented interactive learning media in the form of AbstrakPelatihan media pembelajaran interaktif berwawasan kesehatan bertujuan untuk memberikan keterampilan pada guru PAUD di kecamatan Ungaran Timur dalam pembuatan media pembelajaran yang menarik dengan menggunakan cara yang sangat relatif mudah. Rendahnya Pendidik PAUD dalam penguasaan dalam bidang teknologi komputer, mengingat perkembangan zaman semakin menuntut para Pendidik PAUD turut andil sebagai pemberi pesan positif melalui media. Kurangnya penguasaan teknologi menjadi salah satu menyebabkan rendahnya tikat pendidikan di Indonesia dan sangat tertinggal dengan negara-negara maju. Sudah saatnya guru berperan aktif dalam dunia pendidikan agar dapat mengikuti perkembangan zaman serta mempermudah guru dalam menyampaikan bahan ajar yang telah direncanakan. Luaran kegiatan pengabdian ini adalah Terlaksana kegiatan program pelatihan pembuatan media pembelajaran interaktif berwawasan kesehatan bagi Pendidik PAUD Anggota PKG Kecamatan Ungaran Timur untuk 20 orang, Meningkatkan kemampuan pengausaan Pendidik PAUD dalam pembuatan media pembelajaran interaktif berwawasan kesehatan. Terciptanya satu karya pembelajaran dengan menggunakan media pembelajaran media pembelajaran interaktif berwawasan kesehatan yang berupa
Using Support Vector Machines for Predicting and Mitigating Stunting in Early Childhood Education in Rural Semarang Novichasari, Suamanda Ika; Prananda, Alifia Revan; Suwidagdho, Dhanang; Fauziah, Syifa; Setya Wijaya, Vania Amelia; Adam, Otmar Shah
Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini Vol. 8 No. 5 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/obsesi.v8i5.6131

Abstract

In 2030, 70% of Indonesia's population will be of productive age (15-64 years), which is a demographic bonus. However, this potential is threatened by the high rate of stunting in children, which threatens future workforce productivity. Early identification of stunting risk is essential for timely intervention. This study develops a stunting prediction model using machine learning with data from early childhood education institutions in rural Semarang. The model used is a Support Vector Machine (SVM) implemented through the RapidMiner framework. The SVM model achieved an accuracy of 97.56%, a precision of 98.97%, a recall of 97.37%, and an AUC of 0.997. The results of the SVM model highlight the importance of physical motor skills and artistic development.
Penerapan Faster RCNN + ResNet 50 untuk Mengidentifikasi Spesies dan Stadium Parasit Plasmodium Malaria Prananda, Alifia Revan; Novichasari, Suamanda Ika; Fatkhurrozi, Bagus; Abdillah, Muhammad Nurkholis; Frannita, Eka Legya; Majidah, Zharifa Nur; Wibowo, Fadhila Syahida
TIN: Terapan Informatika Nusantara Vol 6 No 2 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i2.7187

Abstract

Malaria is one of the epidemic health diseases and is well-known as a serious infectious disease. The malaria examination process had occurred by analyzing the digital microscopic images using a microscope. Those examination procedures were conducted manually, which lead to some hurdles such as misinterpretation, misdiagnosis and may produce subjective results. This research aims to develop a method for detecting the Plasmodium parasite and identifying the species and stage of Plasmodium parasite. The proposed method was performed into 488 raw data comprising of 538 parasites. The proposed method was started by conducting a data augmentation process for balancing the number of data, training model, testing model, evaluation. In this study, both the training and testing processes were performed by applying Faster RCNN + ResNet-50. The result of the testing process shows that Faster RCNN + ResNet-50 successfully achieved mAP of 0,603. It also achieved accuracy of 93.91%, sensitivity of 66.20%, specificity of 96.10%, PPV of 60.14% and NPV of 97.30%. This result indicates that the proposed method is powerful for detecting Plasmodium parasites and identifying all species and stadiums.
Pemberdayaan Keamanan Dan Kesejahteraan Melalui Penggunaan CCTV, Digital Marketing, dan Website Nawawi, Ibrahim; Wibowo, Rheza Ari; Salim, D Jayus Nor; Novichasari, Suamanda Ika; Nata, Imam Adi; Wicaksono, Damar; Prananda, Alifia Revan; Rakhmawati, Restu
Ngudi Waluyo Empowerment: Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 2 (2023): Ngudi Waluyo Empowerment: Jurnal Pengabdian Kepada Masyarakat
Publisher : Fakultas Komputer dan Pendidikan Universitas Ngudi Waluyo

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

Abstract

Desa Sidogede, yang terletak di Kecamatan Grabag, Kabupaten Magelang, memiliki potensi besar untuk meningkatkan keamanan dan kesejahteraan warganya. Proyek "Bakti Sosial Pemberdayaan Keamanan dan Kesejahteraan" bertujuan untuk mengintegrasikan teknologi CCTV, Digital Marketing, dan Website Desa Interaktif sebagai solusi holistik untuk meningkatkan kondisi sosial dan ekonomi di desa ini. Penggunaan CCTV akan memperkuat keamanan dengan memonitor aktivitas publik dan rumah-rumah warga. Digital Marketing akan membantu mendukung pengembangan usaha lokal dan mempromosikan produk-produk desa. Sementara itu, Website Desa Interaktif akan menjadi sumber informasi penting dan sarana partisipasi warga dalam pengambilan keputusan. Proyek ini tidak hanya bertujuan untuk meningkatkan tingkat keamanan fisik, tetapi juga ekonomi desa melalui promosi produk lokal dan peningkatan akses ke informasi. Dengan demikian, proyek ini diharapkan akan berdampak positif terhadap kesejahteraan dan kehidupan masyarakat Desa Sidogede, menjadikannya sebagai contoh terbaik bagi upaya pemberdayaan desa-desa di wilayah sekitarnya.
Using Support Vector Machines for Predicting and Mitigating Stunting in Early Childhood Education in Rural Semarang Novichasari, Suamanda Ika; Prananda, Alifia Revan; Suwidagdho, Dhanang; Fauziah, Syifa; Setya Wijaya, Vania Amelia; Adam, Otmar Shah
Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini Vol. 8 No. 5 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/obsesi.v8i5.6131

Abstract

In 2030, 70% of Indonesia's population will be of productive age (15-64 years), which is a demographic bonus. However, this potential is threatened by the high rate of stunting in children, which threatens future workforce productivity. Early identification of stunting risk is essential for timely intervention. This study develops a stunting prediction model using machine learning with data from early childhood education institutions in rural Semarang. The model used is a Support Vector Machine (SVM) implemented through the RapidMiner framework. The SVM model achieved an accuracy of 97.56%, a precision of 98.97%, a recall of 97.37%, and an AUC of 0.997. The results of the SVM model highlight the importance of physical motor skills and artistic development.
Co-Authors Abdillah, Mokhammad Nurkholis Adam, Otmar Shah Alifia Revan Prananda Bagus Fatkhurrozi D Jayus Nor Salim Damar Wicaksono Dhanang Suwidagdho Eka Legya Frannita Ibrahim Nawawi Imam Adi Nata Iwan Setiawan Wibisono Kartika Yuni Purwanti Majidah, Zharifa Nur Rakhmawati, Restu Setya Wijaya, Vania Amelia Swantyka Ilham Prahesti Syifa Fauziah Syifa Fauziah Wibowo, Fadhila Syahida Wibowo, Rheza Ari Zulmi Roestika Rini