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All Journal Jurnal Abdimas Mandiri AnoaTIK: Jurnal Teknologi Informasi dan Komputer
Agustina Heryati
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Computer Science & IT Education Social Sciences

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PELATIHAN PENULISAN KARYA ILMIAH BAGI GURU DI LINGKUNGAN DINAS PENDIDIKAN KOTA PALEMBANG Fauzia Afriyani; Abdul Kholik; Agustina Heryati; Try Wulandari; Dio Resta Permana
Jurnal Abdimas Mandiri Vol. 7 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jam.v7i1.2971

Abstract

Dinas pendidikan Kota Palembang membuat pelatihan penulisan karya ilmiah bagi guru yang bertujuan untuk meningkatkan kemampuan menulis para guru dalam menghasilkan karya ilmiah yang berkualitas dan bermanfaat bagi dunia pendidikan. Pelatihan tersebut meliputi berbagai aspek penulisan karya ilmiah, seperti pemilihan topik penelitian, perumusan masalah penelitian, pengumpulan dan analisis data, serta penyusunan laporan penelitian. Metode dalam pelatihan ini meliputi Identifikasi Tujuan, Persiapan Materi, Penentuan Jadwal dan Durasi, Pemilihan Peserta, Sesi Praktikum, Umpan Balik dan Evaluasi. Dari survey sebelum pelatihan Peserta kesulitan dalam menyusun desain penelitian yang sesuai dan memilih metode analisis yang tepat. Peserta seringkali tidak yakin bagaimana menganalisis data dan menginterpretasikan hasilnya. Peserta seringkali mengalami kesulitan dalam menyusun kesimpulan yang logis dan rekomendasi yang relevan. Sedangkan hasil survey setelah pelatihan yaitu peserta menunjukkan peningkatan pemahaman yang signifikan mengenai struktur dan tujuan karya ilmiah. Peserta dapat menyajikan latar belakang penelitian dengan lebih jelas dan koheren setelah pelatihan. Peserta menunjukkan peningkatan kemampuan dalam menyusun desain penelitian dan memilih metode analisis yang tepat. Peserta lebih percaya diri dalam menganalisis data dan menginterpretasikan hasil setelah mengikuti pelatihan.  
PENERAPAN METODE NAIVE BAYES UNTUK KLASIFIKASI KATEGORI OLAH PANGAN (STUDI KASUS DINAS KESEHATAN KOTA PALEMBANG) Ajeng Oktaviyani; Agustina Heryati; M. Fadhiel Alie Alie
AnoaTIK: Jurnal Teknologi Informasi dan Komputer Vol 2 No 1 (2024): Juni 2024
Publisher : Program Studi Ilmu Komputer FMIPA-UHO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/anoatik.v2i1.30

Abstract

The Health Department is an integral part of the government structure with broad responsibilities for managing various aspects of health, including daily medical services activities that contribute to maintaining a healthy nutritional balance, reflected in good quality processed foods. Therefore, there is a need for grouping and classifying processed foods. The problem addressed in this research is the difficulty faced by the Palembang Health Department in determining the classification of processed food products. Hence, the researcher employed the Naive Bayes method and RapidMiner Software as supporting software tools in this study. The study found that in Accuracy testing, both RapidMiner and manual Naive Bayes calculations yielded the same result of 94.52% for the positive class: Plant-based. In Precision testing, there was a difference between RapidMiner and manual Naive Bayes calculations, with RapidMiner yielding a higher result of 93.22% for the positive class: Plant-based, while manual Naive Bayes calculation obtained a value of 78%. Similar values were also obtained in Recall testing, where both RapidMiner and manual Naive Bayes calculations yielded the same result of 100% for the positive class: Plant-based. In F1 Score testing, both RapidMiner and manual Naive Bayes calculations yielded the same result of 100%. In RapidMiner's Area Under The Curve (AUC) testing, the result obtained was 0.973 (positive class: Plant-based), and the high accuracy of the ROC/AUC curve indicates "Excellent Classification", suggesting that the use of plant-based food materials dominates over the use of animal-based food materials. It is hoped that the results of this research can assist the Health Department in classifying food processing categories. Keywords : Naive Bayes, Classification, Processed Food, Palembang City Health Department, Food Product Supervision, Food Materials, Animal-based, Plant-based.
Co-Authors Abdul Kholik Ajeng Oktaviyani Dio Resta Permana Fauzia Afriyani M. Fadhiel Alie Alie Try Wulandari