Garuda - Garba Rujukan Digital

Pelatihan Pembuatan Animasi Sederhana Menggunakan Macromedia Flash Untuk Meningkatkan Keterampilan Siswa SMK Karya Utama Tanjungbalai Andriyani, Suci; Efendi, Zulfan; Latiffani, Chitra
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol 7, No 1 (2024): Januari 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v7i1.2473

Abstract: Education plays an important role in quality human civilization to increase human resources globally. This development reflects the close relationship between education, technological innovation and the advancement of knowledge as an integral part of society's social and intellectual evolution. The use of technology-based media is considered to provide significant benefits for both teachers and students in the process of teaching and learning activities. In this context, the education system in vocational schools should explore the potential resources or potential available around the school environment, which are relevant to the demands of the world of work. In an effort to prepare student graduates who are superior and ready to work and are able to compete in the job market, there needs to be preparation in improving the hard skills and soft skills of mature students. This service activity aims to provide assistance and training to Karya Utama Vocational School students through the use of Multimedia Technology as additional skills. The method in this activity applies training and observation to students. As a result of this activity, 85% of students were able to create simple animations using Macromedia Flash software. Keywords: animation; macromedia flash; multimedia; training.

Pengaruh Penerapan Aplikasi Pengolahan Data Barang Habis Pakai Terhadap Kinerja Pelaporan Pengurus Barang Pengguna Di RSUD HAMS Kisaran Sinaga, Hommy Dorthy Ellyany; Andriyani, Suci
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

This research is to implement an application of single use goods (BHP) data processing which is a computerized system to facilitate of data processing that linked to input, output, inventory card, incoming report, output report, semester and annual recapitulation, and to determine the influence of its implement to the reporting performance. The research method is an explanatory method. By adopting the user acceptance model, this research is formulating the hypothethical that state there is a significance influence of the implemented single use goods (BHP) data processing application to the reporting performance of Pengurus Barang Pengguna. This method is envolving the synthesising the operational variable, data collecting and observation, stating the hypothesis, creating and testing the instrument, distributed the questionnaire to all 7 persons. Based on validity and reliability testing, then the instrument is tested as valid and reliable. The implemented of single used goods (BHP) data processing application is described to be 3 operational variables, ie. the application complexity variable, application use, features and its design variable and application quality variable. The result of hypothesis testing shows that the application complexity and application quality variable are influencing the reporting performance, but the application use, features and its design shows no influence to the reporting performance.

Pengaruh Penerapan Aplikasi Pengolahan Data Barang Habis Pakai Terhadap Kinerja Pelaporan Pengurus Barang Pengguna Di RSUD HAMS Kisaran Sinaga, Hommy Dorthy Ellyany; Andriyani, Suci
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v3i2.145

This research is to implement an application of single use goods (BHP) data processing which is a computerized system to facilitate of data processing that linked to input, output, inventory card, incoming report, output report, semester and annual recapitulation, and to determine the influence of its implement to the reporting performance. The research method is an explanatory method. By adopting the user acceptance model, this research is formulating the hypothethical that state there is a significance influence of the implemented single use goods (BHP) data processing application to the reporting performance of Pengurus Barang Pengguna. This method is envolving the synthesising the operational variable, data collecting and observation, stating the hypothesis, creating and testing the instrument, distributed the questionnaire to all 7 persons. Based on validity and reliability testing, then the instrument is tested as valid and reliable. The implemented of single used goods (BHP) data processing application is described to be 3 operational variables, ie. the application complexity variable, application use, features and its design variable and application quality variable. The result of hypothesis testing shows that the application complexity and application quality variable are influencing the reporting performance, but the application use, features and its design shows no influence to the reporting performance.

APPLICATION OF CERTAINTY FACTOR METHOD TO DIAGNOSING RABIES IN PETS Wulandari, Nadia Astri; Andriyani, Suci
JURNAL TEKNISI Vol 5, No 1 (2025): February 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/teknisi.v5i1.2768

Abstract: Rabies is an infectious disease caused by the Lyssavirus virus from the Rhabdoviridae family. This disease is spread through the bite of animals such as dogs and cats, which are widely kept by the community. Lack of information about rabies causes its spread to be increasingly widespread. Therefore, an expert system is needed that can help early diagnosis of this disease. This study aims to develop an expert system based on the Certainty Factor (CF) method in diagnosing rabies in pets. Rabies symptom data were collected and calculated using the CF algorithm to determine the level of certainty of the diagnosis. The results showed that the expert system was able to diagnose rabies with high accuracy. Of the 100 samples tested, 90% showed symptoms of the prodromal stage, which is the early phase of infection. This system also provides prevention recommendations for pet owners. In conclusion, an expert system based on Certainty Factor can help early detection of rabies and provide useful information for pet owners in taking preventive measures.Keywords: rabies; certainty factor; expert system; disease diagnose. Abtrak: Rabies adalah penyakit menular yang disebabkan oleh virus Lyssavirus dari keluarga Rhabdoviridae. Penyakit ini menyebar melalui gigitan hewan seperti anjing dan kucing, yang banyak dipelihara oleh masyarakat. Kurangnya informasi mengenai rabies menyebabkan penyebarannya semakin luas. Oleh karena itu, diperlukan sistem pakar yang dapat membantu diagnosis dini penyakit ini. Penelitian ini bertujuan untuk mengembangkan sistem pakar berbasis metode Certainty Factor (CF) dalam mendiagnosis rabies pada hewan peliharaan. Data gejala rabies dikumpulkan dan dihitung menggunakan algoritma CF untuk menentukan tingkat kepastian diagnosis. Hasil penelitian menunjukkan bahwa sistem pakar mampu mendiagnosis rabies dengan akurasi tinggi. Dari 100 sampel yang diuji, 90% menunjukkan gejala tahap prodromal, yaitu fase awal infeksi. Sistem ini juga memberikan rekomendasi pencegahan bagi pemilik hewan. Kesimpulannya, sistem pakar berbasis Certainty Factor dapat membantu deteksi dini rabies serta memberikan informasi yang berguna bagi pemilik hewan dalam mengambil tindakan pencegahan.Kata kunci: rabies; certainty factor; sistem pakar; diagnosis penyakit.

PENERAPAN FORECASTING UNTUK PREDIKSI STOK KEDELAI MENGGUNAKAN METODE WEIGHT MOVING AVERAGE Wulandari, Nadia Astri; Andriyani, Suci
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.4171

Abstract: The Selamat Tofu Factory is an UMKM that operates in the manufacturing sector, especially tofu production. The problem that occurs at the Selamat Tofu Factory is the difficulty in determining the stock of soybean raw materials for tofu production which must be available in the following month and they still use a manual system or have not yet been computerized. Therefore, systems and methods are needed that can predict soybean stocks for the following month, so that there is no shortage or excess of soybean raw materials. One method that can be used to predict the stock of soybean raw materials is to use the WMA method. The WMA method is very suitable for this research method because it can be seen that the error value is smaller compared to other methods and produces precise and accurate forecasts. By utilizing previous data, namely 1 year earlier and by using the previous 3 months of data to calculate it. The forecast results for soybean stock in Agustus 2025 a MAPE value or percentage of forecast error value obtained, namely 7.68%. Keywords: Tofu, Stock, Prediction Abstrak: Pabrik Tahu Selamat merupakan UMKM yang bergerak di bidang manufaktur khususnya produksi tahu. Permasalahan yang terjadi pada Pabrik Tahu Selamat adalah sulitnya menentukan stok bahan baku kedelai untuk produksi tahu yang harus tersedia pada bulan berikutnya dan masih menggunakan sistem manual atau belum terkomputerisasi. Oleh karena itu diperlukan sistem dan metode yang dapat memprediksi stok kedelai pada bulan berikutnya, sehingga tidak terjadi kekurangan maupun kelebihan bahan baku kedelai. Salah satu metode yang dapat digunakan untuk memprediksi stok bahan baku kedelai adalah dengan menggunakan metode WMA. Metode WMA sangat cocok digunakan pada metode penelitian ini karena terlihat nilai errornya lebih kecil dibandingkan metode lainnya serta menghasilkan prediksi yang tepat dan akurat. Dengan menggunakan data sebelumnya yaitu 1 tahun sebelumnya dan dengan menggunakan data 3 bulan sebelumnya untuk menghitungnya. Hasil peramalan stok kedelai bulan Agustus 2025 diperoleh nilai MAPE atau persentase nilai kesalahan peramalan yaitu 7,68%. Kata kunci: Tahu, Stok, Prediksi

Title

Found 5 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 5 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 5 Documents
Search