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All Journal JUITA : Jurnal Informatika Abdimasku : Jurnal Pengabdian Masyarakat
Binti Solihah
Universitas Trisakti
Computer Science & IT Economics, Econometrics & Finance Health Professions Industrial & Manufacturing Engineering Social Sciences

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Pemanfaatan Scratch Sebagai Media Pembelajaran Pemrograman Berbasis Animasi Di Sekolah Dasar Binti Solihah; Sucipto Adi Suwiryo; Gatot Budi Santoso; Is Mardianto; Uray Assifa Mufti Azzahra
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 5, No 2 (2022): Mei 2022
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/ja.v5i2.469

Abstract

Sumber Daya Manusia yang dibutuhkan pada Era Industri 4.0 minimal harus memiliki 5 kompetensi utama diantaranya critical thinking dan problem solving. Kemampuan tersebut harus dilatih sedini mungkin. Salah satu cara melatih skill tersebut adalah dengan mengajarkan pemrograman kepada anak usia dini. Guru sekolah dasar sebagai pelaksana kegiatan usia dini harus dibekali dengan keterampilan tersebut. Diantara metode yang dapat dilakukan untuk mengenalkan materi tersebut kepada para guru sekolah sadar adalah melalui kegiatan workshop dan pelatihan. Tim Pengabdian Kepada Masyarakat Program Studi Teknik Informatika dan Sistem Informasi mengadakan kegiatan pelatihan Pemrograman Scratch bagi guru-guru SD. Kegiatan ini dilaksanakan secara daring dan diikuti oleh sejumlah guru dan siswa Sekolah Dasar di Wilayah Kembangan Jakarta Barat. Berdasarkan kuisioner yang dikumpulkan pada sesi terakhir pelatihan, pelatihan ini bermanfaat untuk meningkatkan literasi teknologi informasi
Improve Coal Blending Optimization in CFPP by Cromosom and Fitness Function Redefinition of the Genetic Algorithm Binti Solihah; Ahmad Zuhdi; Abdul Rochman; Edo Yulistama; Hilda Dwi Utari
JUITA: Jurnal Informatika JUITA Vol. 12 No. 1, May 2024
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v12i1.18731

Abstract

Blending coal before it enters the power plant boiler unit is necessary to adjust the coal categories according to the boiler unit specifications. The power plant must also comply with the regulations regarding coal-biomass co-firing through blending. Applying a Genetic Algorithm that only considers the composition and fitness based on the blend's quality leads to accumulation issues, decreasing coal quality. This research proposes redefining chromosomes, fitness functions, mutation rules, population determination, and output as the best chromosome used in the Genetic Algorithm. Testing uses various compositions of coal inputs from the barge, coal yard, and biomass to simulate different conditions. The test results demonstrate that the developed algorithm can provide all possible alternative blends between the coal in the barge and at the coal yard. Under specific conditions, operators can choose a blend composition that involves coal stored in the coal yard for an extended period.
Co-Authors Abdul Rochman Ahmad Zuhdi Edo Yulistama Gatot Budi Santoso Hilda Dwi Utari Is Mardianto Sucipto Adi Suwiryo Uray Assifa Mufti Azzahra