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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) INOVTEK Polbeng - Seri Informatika
Hendry Hendry
Satya Wacana Christian University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Materials Science & Nanotechnology Physics

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Multivariate Time Series Forecasting pada Penjualan Barang Retail dengan Recurrent Neural Network Robertus Bagaskara Radite Putra; Hendry Hendry
Jurnal Inovtek Polbeng Seri Informatika Vol 7, No 1 (2022)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v7i1.2398

Abstract

Intisari–Pasar ritel di Indonesia semakin berkembang seiring bertambahnya penduduk dan daya beli. Peluang ini harus dimanfaatkan, namun dalam bisnis ritel, kadangkala terjadi keadaan Out of Stock maupun over stock di dalam toko. Untuk mengatasi hal tersebut, kita bisa mengatasinya dengan melakukan peramalan atau prediksi penjualan yang akan terjadi di masa mendatang. Ada beberapa macam metode untuk melakukan peramalan, namun secara umum terbagi menjadi 2 jenis yaitu metode statistika dan juga computational intelligence. Penelitian ini mencoba untuk melakukan prediksi penjualan barang retail perhari menggunakan metode Recurrent Neural Network (RNN) sebagai bagian dari metode computational intelligence. Dari penelitian ini kita bisa dapatkan hasil bahwa dalam kasus prediksi penjualan ritel, performa akurasi RNN lebih baik dari metode statistika
Application of the PIECES Framework Method in E-Report Evaluation Muhammad Sholikin; Eko Sediyono; Hendry Hendry
Jurnal Penelitian Pendidikan IPA Vol. 9 No. SpecialIssue (2023): UNRAM journals and research based on science education, science appl
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9iSpecialIssue.6028

Abstract

The evaluation of the E-report application at SMK N 1 Banyudono is integral for assessing its alignment with the latest curriculum guidelines and its effectiveness in meeting students' learning and assessment needs. This evaluation ensures that learning support technologies, such as E-report, stay relevant, responsive to user needs, and supportive of the school's long-term educational objectives. Using the PIECES method, the assessment of user satisfaction comprehensively considers Performance, Information, Economy, Control, Efficiency, and Services indicators. The Likert scale aids in gauging user satisfaction across various aspects. Quantitative data analysis involves 26 respondents, including teachers, homeroom teachers, curriculum staff, and school principals, providing a holistic perspective on learning and assessments management. The PIECES method and Likert scale evaluation reveal a satisfaction level of 4.52, categorizing it as "SATISFIED." This comprehensive assessment covers system performance, information accuracy, cost-effectiveness, system control ease, time efficiency, and service flexibility. The qualitative descriptive approach using the PIECES method and Likert scale identifies areas for improvement, ensuring the E-report application remains efficient, relevant, and aligned with DITJEN VOKASI guidelines
Co-Authors Eko Sediyono Muhammad Sholikin Robertus Bagaskara Radite Putra