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ANALISIS MINAT PENGGUNA SISTEM DIAGNOSA DIABETES BERBASIS NAIVE BAYES DAN FORWARD CHAINING MENGGUNAKAN METODE TECHNOLOGY ACCEPTANCE MODEL (TAM)
No full textDiabetes merupakan salah satu penyakit paling mematikan di dunia,
dengan Indonesia menempati peringkat kelima jumlah penderita tertinggi,
mencapai 19,5 juta kasus menurut International Diabetes Federation (IDF). Di
Jawa Tengah, Kota Semarang memiliki kasus tertinggi. Sayangnya, 73,7%
penderita diabetes tidak terdiagnosis, terutama pada kelompok usia di bawah 20
tahun. Keterlambatan diagnosis sering terjadi akibat minimnya data dan gejala
yang menyerupai penyakit lain.
Penelitian ini mengembangkan sistem pakar berbasis Naive Bayes dan
Forward Chaining guna membantu diagnosis diabetes secara lebih cepat dan
akurat. Sistem dirancang menggunakan kerangka kerja Expert System
Development Life Cycle (ESDLC), untuk memastikan proses yang terstruktur.
Naive Bayes efektif dalam menganalisis data boolean guna menentukan risiko
awal diabetes, sementara Forward Chaining mengolah data numerik guna
menghasilkan diagnosis yang lebih mendetail. Data pakar pada model Naive
Bayes mencapai akurasi 99,12%. Saat kedua metode digabungkan, akurasi sistem
pakar meningkat hingga 100% dan valid menjadi hasil diagnosa karena
mencantumkan hasil gula darah.
Selain mengembangkan sistem diagnosis, penelitian ini juga menganalisis
penerimaan pengguna menggunakan Technology Acceptance Model (TAM). Hasil
uji menunjukkan bahwa PU memiliki pengaruh paling kuat terhadap BI, diikuti
oleh PEOU dan T, sementara SI dan TA tidak signifikan. FC berperan dalam
ASU, tetapi tidak berpengaruh langsung terhadap BI. RU berdampak negatif pada
BI, sedangkan PR tetap mendorong penggunaan meskipun ada kekhawatiran
kecil. BI memiliki korelasi kuat dengan ASU, menegaskan bahwa peningkatan
niat perilaku akan meningkatkan penggunaan aktual SIBINDU. Demi
meningkatkan efektivitas sistem, diperlukan bimbingan intensif, optimalisasi fitur,
penyederhanaan proses bisnis, serta pelatihan dan dukungan teknis agar lebih
relevan bagi bidan dan kader di POSBINDU-PTM
ANALISIS PENGARUH KUALITAS LAYANAN TERHADAP KEPUASAN DAN LOYALITAS PENGGUNA PADA E-WALLET LINKAJA MENGGUNAKAN METODE SERVQUAL DAN EXTENDED EXPECTATION CONFIRMATION MODEL (EECM)
No full textKemajuan teknologi informasi telah mendorong penggunaan uang elektronik di
Indonesia, termasuk e-wallet seperti LinkAja. Meskipun sudah ada sejak 2014,
LinkAja menghadapi berbagai masalah seperti pelayanan keluhan pelanggan yang
tidak memuaskan dan transaksi yang sering gagal, yang menyebabkan
ketidakpuasan pengguna. Penelitian ini menggunakan metode SERVQUAL dan
Extended Expectation Confirmation Model (EECM) untuk menganalisis pengaruh
kualitas layanan terhadap kepuasan dan loyalitas pengguna LinkAja, dengan tujuan
memberikan rekomendasi praktis bagi penyedia layanan untuk meningkatkan
kualitas layanan guna meningkatkan kepuasan dan loyalitas pengguna.Penelitian
ini bertujuan untuk menganalisis pengaruh kualitas layanan terhadap kepuasan dan
loyalitas pengguna pada e-wallet LinkAja. Penelitian ini menggunakan pendekatan
kuantitatif dengan survei kuesioner yang disebarkan kepada 273 responden
pengguna aktif LinkAja di Kota Semarang. Variabel yang dianalisis meliputi
reliability, tangibles, responsiveness, assurance, empathy, perceived usefulness,
trust, satisfaction, dan customer loyalty. Hasil penelitian menunjukkan bahwa
reliability, tangibles, assurance, dan empathy berpengaruh positif signifikan
terhadap service quality. Selain itu, service quality, perceived usefulness, dan trust
berpengaruh positif signifikan terhadap satisfaction. Namun, perceived usefulness
tidak berpengaruh signifikan terhadap customer loyalty, sementara trust dan
satisfaction berpengaruh positif signifikan terhadap customer loyalty. Penelitian ini
memberikan implikasi praktis bagi penyedia layanan untuk meningkatkan kualitas
layanan guna meningkatkan kepuasan dan loyalitas pengguna
Creativity in Designing Virtual STEAM Tasks with Artificial Intelligence Mathematical Dance
No full textEvidence suggests that integrating art into creative teaching improves students’ perceptions of STEM disciplines. Students’
educational experiences are inherently made more comprehensive through art, as it allows them to connect many facets of
human experience and practice. Synergy between mathematics and technology can create opportunities to promote creativity among learners. This study aimed to investigate how creating mathematical dance with Artificial Intelligence-based
Motion Capture (AI-MoCap) can foster creativity in designing Science, Technology, Engineering, Art, and Mathematics
(STEAM) tasks for virtual learning environments. An exploratory study with 25 pre-service teachers was conducted at a
Teacher Education Institute. The teachers collaborated to design STEAM educational tasks based on mathematical dance
choreography. They then recorded short motions with AI-MoCap to generate dances using avatars, allowing the designed
tasks to be delivered in the VLEs. The tasks produced were then analysed using a creativity in task design measurement.
The findings indicate that pre-service teachers successfully created unique, interesting, clear, comprehensive, and aesthetically appealing tasks. The tasks work by translating mathematical concepts into dancing moves or vice versa and existing
traditional dances into mathematical ideas. The program also positively impacted the perception of pre-service teachers in
designing creative virtual learning environments
The Analysis of Pre-Service Teachers’ Ability in Integrating Artificial Intelligence–Technological Pedagogical Content Knowledge to Learning Instruction
No full textThe rapid advancement of digital technology, particularly artificial intelligence (AI), has reshaped teacher education by requiring the integration of technological, pedagogical, and content knowledge in instructional design. The AI-TPACK (artificial intelligence–technological pedagogical content knowledge) framework offers a structured foundation to support such integration in science education. This study aims to analyze the effectiveness of AI-TPACK-based learning in strengthening pre-service science teachers’ competencies in designing innovative lesson plans. A quantitative approach with a pre-experimental one-group pretest–posttest design was implemented with three class group of undergraduate science education students at Universitas Negeri Semarang. The intervention addressed seven dimensions: content knowledge, pedagogical knowledge, AI technological knowledge, pedagogical content knowledge, AI technological content knowledge, AI technological pedagogical knowledge, and integrated AI-TPACK. Data were collected through a validated rubric and analyzed using descriptive statistics, gain scores, and paired comparison tests. The results of the study indicate a significant improvement in integration skills across all dimensions, with the greatest achievement in the integration of AI technological knowledge and pedagogical content knowledge within the students lesson plans. Consistent progress across class groups confirms the effectiveness of the AI-TPACK-based model in enhancing technological proficiency and meaningful pedagogy–content integration. The study concludes that systematic adoption of AI-TPACK in teacher education can improve professional readiness, nurture critical, creative, and collaborative skills, and contribute to Sustainable Development Goal 4 on quality education
Integration of Merdeka Curriculum Based on Samin Local Culture on Elementary Students' Interest and Motivation to Learn
No full textThe implementation of the Merdeka Curriculum, which is currently being implemented, is still running in stages. Through learning in the Merdeka Curriculum, schools and teachers are required to actively involve local culture as a way to preserve and appreciate cultural heritage and foster love for local culture. The application of local culture in learning is included in the activities of the Pancasila Student Profile Strengthening Project by making ecoprint batik. This study aims to determine the effect of the integration of Merdeka curriculum based on Samin local culture on the interest and motivation of fourth grade students in Banjarejo District.
The research used a combination research type (mixed methods) with a sequential explanatory design. The samples used were fourth grade students in Banjarejo Subdistrict, Blora Regency, namely SDN 01 Klopoduwur, SDN Jatiklampok, and SDN 02 Sidomulyo with a total sample size of 50 students. The data collection techniques used were interviews and questionnaires. The data analysis used was descriptive analysis technique and inferential analysis technique using Mc Nemar Test and Kruskal Wallis Test, and then continued with Post Hoc Test.
The results of the analysis show that the integration of Merdeka curriculum based on Samin local culture affects students' interest and motivation to learn through the Proyek Penguatan Profil Pelajar Pancasila activities by making ecoprint batik for grade IV students at SDN 01 Klopoduwur, SDN Jatiklampok, and SDN 02 Sidomulyo.
The Merdeka curriculum based on Samin's local wisdom has been implemented in schools in Banjarejo District, including SDN 01 Klopoduwur, SDN Jatiklampok, and SDN 02 Sidomulyo. The integration of Merdeka curriculum based on the local wisdom of Samin culture has an impact on the learning interest of grade IV students at SDN 01 Klopoduwur, SDN Jatiklampok, and SDN 02 Sidomulyo. The integration of an independent curriculum based on the local wisdom of Samin crocodiles has an impact on the learning motivation of grade IV students at SDN 01 Klopoduwur, SDN Jatiklampok, and SDN 02 Sidomulyo
The effectivity of science manipulative based smart class virtual laboratory to improve science process skill
No full textThis study aims to determine the effectiveness of using a smart class virtual laboratory based on Science Manipulative Learning with the dimensions of the Pancasila student profile through PhET Simulation and OLABS on the science process skills of PGSD students. This research is an experimental study with a research design of a nonequivalent control group design and sampling technique by purposive sampling. The sample in the study was PGSD students in semester 2 of the SD Science Laboratory course in Group J and M totaling 50 people. Data collection techniques used tests and non-tests. Tests are used to measure science process skills through Pre-test and Post-test. Non-test is used to observe student activities during learning using a smart class virtual laboratory based on science manipulative learning through PhET Simulation with observation sheets and questionnaires. Data analysis techniques use the Normality Test of gain (Normalized-Gain), Homogeneity Test, Test the effect between variables using a Paired Sample T-test, and the effect between variables using an Independent T-test. The results and analysis can conclude that the application of Smart Class Virtual Laboratory Based on Science Manipulative Learning Dimensioned Pancasila Student Profile Through PhET Simulation and OLABS effectively improves science process skills. This is evidenced by the pretest and posttest N-Gain test values, which obtained a score of 0.64 with a moderate increase in the category
VIRTUAL REALITY E-TOURISM SEBAGAI ALTERNATIF MEDIA PROMOSI DESA WISATA BEJALEN DI MASA PANDEMI COVID-19
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