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All Journal JAIS (Journal of Applied Intelligent System) Jurnal Penelitian Pembelajaran Matematika Sekolah Jurnal Abdi Citra
Safira, Intan
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Economics, Econometrics & Finance Education Mathematics Other

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DIAGNOSIS KESALAHAN PESERTA DIDIK DALAM MENYELESAIKAN SOAL POLA BILANGAN DI SMP NEGERI 11 KOTA BENGKULU Safira, Intan; Agustinsa, Ringki; Utari, Tria; Susanto, Edi; Stiadi, Elwan
JP2MS Vol 7 No 2 (2023): Agustus
Publisher : Program Studi S1 Pendidikan Matematika FKIP Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jp2ms.7.2.314-322

Abstract

Penelitian ini bertujuan untuk mengetahui sebaran kesalahan peserta didik dalam menyelesaikan soal matematika materi pola bilangan, serta mengidentifikasi faktor-faktor penyebabnya. Jenis penelitian ini adalah deskriptif dengan pendekatan kualitatif. Pengumpulan data dilakukan menggunakan tes diagnostik dan wawancara. Subjek penelitian ini ialah kelas VIII-A SMP Negeri 11 Kota Bengkulu yang berjumlah 32 peserta didik. Tes diagnostik berupa tes tertulis yang terdiri dari 6 soal uraian yang telah valid berdasarkan pendapat ahli. Tes diagnostik diberikan kepada seluruh peserta didik, sedangkan wawancara dilakukan kepada peserta didik yang melakukan kesalahan saat menyelesaikan soal tes yang diberikan. Hasil penelitian menunjukkan bahwa: 1) Sebaran kesalahan peserta didik dalam menyelesaikan soal matematika materi pola bilangan yaitu kesalahan konsep dengan rata-rata 27,08%; kesalahan interpretasi bahasa dengan rata-rata 7,81%; kesalahan prosedur dengan rata-rata 71,35%; kesalahan berhitung dengan rata-rata 11,97%; dan 2) Faktor penyebab kesalahan yang dilakukan oleh peserta didik pada saat mengerjakan soal yaitu peserta didik belum bisa menemukan konsep yang akan digunakan, peserta didik belum memahami konsep operasi dengan bilangan berpangkat, dan peserta didik kurang teliti dalam mengerjakan soal.
PEMANFAATAN BUAH PEPAYA MENJADI KRIPIK PEPAYA GUNA MENINGKATKAN EKONOMI DAN KREATIVITAS WARGA DESA PANJER MELALUI SOSIALISASI DAN PELATIHAN PRODUKSI Ridwanulloh, M. Ubaidillah; Safira, Intan; Hidayah, Farikha Nur; Amrullah, Muhammad Syafi'udin
Jurnal Abdi Citra Vol. 2 No. 1 (2025): Jurnal Abdi Citra Volume 2 Nomor 1 Februari Tahun 2025
Publisher : Publika Citra Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62237/jac.v2i1.193

Abstract

Community service activities were carried out in Panjer Village, Plosoklaten District, Kediri Regency, targeting the village's PKK (Family Welfare Empowerment) women. The purpose of this activity was to enhance creativity, particularly among the PKK women, by introducing new innovations to process unripe papayas into food products, specifically papaya chips. This initiative aimed to increase the economic value of papayas processed into chips, create new business opportunities for the PKK women, and contribute to the local community's economy. The stages of the activity included observation and communication between the IAIN Kediri KKN community service team and the residents of Panjer Village. Preparations were then made, followed by the implementation of the activity, which involved delivering material on how to process unripe papayas into culinary products such as chips and conducting practical workshops on making the chips. An evaluation was conducted by the community service team to assess the participants' understanding of the chip-making process. The results of this community service activity showed that participants were able to produce their own papaya chips, which can serve as a family snack or as a potential business opportunity to generate additional income. Moreover, it demonstrated the effective use of locally available materials to create economically valuable products, whether on a group or individual basis.
A Non-Invasive Allergy Detection using Convolutional Neural Network Model Aripin; Badia, Giulia Salzano; Safira, Intan
(JAIS) Journal of Applied Intelligent System Vol. 10 No. 1 (2025): April 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jais.v10i1.12783

Abstract

Skin allergy detection is critical to detect allergies that trigger serious reactions such as anaphylaxis, so people can avoid allergens and reduce the risk of complications such as anaphylactic shock. Therefore, early allergy detection screening is essential to determine the risk of allergies. This research aims to develop a system to detect skin allergies caused by food, through sensors applied to human skin using the Convolutional Neural Network (CNN) model. The research steps include literature studies, data acquisition, preprocessing, learning processes, and testing. The developed system uses a camera to capture allergic reactions on the skin. Data acquisition consists of two types of data, namely primary data and secondary data. Primary data acquisition is done by taking images of normal and allergic patient skin. Meanwhile, secondary data acquisition is obtained from Kaggle. The captured images are processed by image processing and analyzed using the CNN model. The image dataset consists of four classes, namely atopic, angioedema, normal skin, and urticaria. The CNN model consists of several layers, including convolutional layers, pooling, and fully connected layers. The results of the research showed that the prototype product can detect changes in the skin surface due to allergic reactions, such as redness or swelling, quickly and accurately. Testing the learning process with the CNN model resulted in an accuracy rate of 92%. Meanwhile, the accuracy results of testing prototype products on patients with skin allergies were 93%. It shows that the system can detect types of allergies on the skin accurately and efficiently. This system provides a practical and fast solution for the public to detect allergies, while contributing to the advancement of medical technology.Keywords - social robots, adaptive learning, reinforcement learning, human-robot interaction, sensor fusion, educational robotics
Co-Authors Agustinsa, Ringki Amrullah, Muhammad Syafi'udin Aripin Badia, Giulia Salzano Edi Susanto Elwan Stiadi Hidayah, Farikha Nur Ridwanulloh, M. Ubaidillah Utari, Tria