Garuda - Garba Rujukan Digital

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All Journal Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Difusi Jurnal Aplikasi Bisnis dan Komputer Pelita: Jurnal Pengabdian kepada Masyarakat Jurnal Teknoinfo Komputasi : Jurnal Ilmiah Ilmu Komputer dan Matematika

Mulyati ,

Program Studi Ilmu Komputer, FMIPA, Universitas Pakuan, Bogor

Author-ID : 3461397

Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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PENCARIAN JALUR TERDEKAT MENUJU RUMAH SAKIT DI KOTA BOGOR DENGAN MENGGUNAKAN ALGORITMA A* Erniyati ,; Mulyati ,
KOMPUTASI Vol 16, No 1 (2019): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Pencarian jalur terpendek (shortesh path) merupakan salah satu solusi dalam pencarian suatu lokasi yang terdekat jika terdapat beberapa jalur yang dapat dilaluinya. Seperti halnya dalam pencarian rumah sakit di kota Bogor. Kota Bogor merupakan kota yang cukup luas dan memiliki jalur yang cukup banyak. Untuk mencapai rumah sakit yang dituju dibutuhkan informasi jalur terdekat guna meminimalisir biaya dan waktu yang lebih efisien. Ada beberapa algoritma yang bisa digunakan untuk pencarian jalur terdekat diantaranya yaitu algoritma A* (star), algoritma ini membuang langkah-langkah yang tidak perlu dengan pertimbangan bahwa langkah-langkah yang dibuang sudah pasti merupakan langkah yang tidak akan mencapai solusi yang diinginkan. Sistem ini selanjutnya dihubungkan dengan perangkat mobile yang berbasis android. Dengan menerapkan Algoritma A* (star) diharapkan dapat membantu dalam mencari dan menentukan lintasan terpendek sehingga didapat suatu jalur yang optimal untuk mencapai rumah sakit di Kota Bogor[TA1] [TA1]Belum terlihat tutjuan tahapan penelitian secara jelas

SISTEM PENUNJANG KEPUTUSAN PEMILIHAN INDUK AYAM KUB TERBAIK DENGAN METODE FUZZY DAN VIKOR Muhammad Teguh; Sri Setyaningsih; Mulyati .
KOMPUTASI Vol 17, No 1 (2020): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Kampung Unggul Superior Chicken (KUB) is a native native chicken selection from the Animal Research Center (Balitnak). KUB chicken has the advantage of low incubation and high egg production, so it becomes a parent producer of many DOC (female line). Currently consumption of native chicken meat and eggs in the community from year to year has increased while its production has not been able to fully meet the needs of the community. Some of the problems in maintaining KUB hens are not optimal body weight, length of time in laying eggs and even a small amount of egg production quality from selected prospective broodies originating from KUB hens who have high productivity in laying eggs. to overcome these problems, an application system is needed, one of which is a decision support system application. This application can provide recommendations in the selection of the best KUB hens so that the hens can be maintained intensively so that the supply of chicken meat and eggs can meet the needs of the community. There are several methods that can be used to determine the selection of the best KUB Parent, including using the Vikor method. Vikor is used to overcome the problem of complex multi-criteria systems that focus on ranking and selection of an alternative, while to determine the weighting using the Fuzzy Method. The results of this study are in the form of an application system that can help breeders / enclosure technicians in determining the selection of the Best KUB Chicken Parent. The level of system accuracy using the Vikor and Fuzzy methods was obtained at 77.2% of the 9 test data used.

PEMILIHAN BIBIT KELINCI NEW ZEALAND WHITE (NZW) TERBAIK DENGAN MENGGUNAKAN METODE VIKOR Mulyati Mulyati; Erniyati Erniyati
KOMPUTASI Vol 18, No 1 (2021): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v18i1.2411

The New Zealand White (NZW) rabbit is a rabbit originating from America that has now spread to Indonesia. NZW rabbits have the advantage that they have large meat weight, small bones and a harvest period of about 3.5 months. However, the quality of the rabbits produced is very influential in the initial selection of seeds. Therefore, a decision support system is needed to select so that the resulting rabbits are as expected. One of the selection methods used in selecting the best rabbit seeds is the Visekriterijumsko Kompromisno Rangiranje (VIKOR) method. VIKOR is a decision-making method that works by looking at the closest solution / alternative as an approach to the ideal solution in ranking. The purpose of this study is to recommend the selection of the best NZW rabbit seeds using the VIKOR method. The results showed that the VIKOR method was able to select the best NZW Rabbit seeds from a number of existing data.

PENINGKATAN KEMAMPUAN PEDAGOGIK TENAGA PENGAJAR PAUD DALAM UPAYA PEMBERDAYAAN MELALUI KETERAMPILAN LITERASI DIGITAL DI WILAYAH KOTA BOGOR Henny Suharyati; Yuyun Elizabeth Patras; Mulyati
Jurnal Difusi Vol 2 No 2 (2019): Jurnal Difusi
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M) Politeknik Negeri Bandung

Peningkatan daya saing di bidang pendidikan anak usia dini (PAUD) dikembangkan karena bidang ini menjadi salah satu pilar strategi nasional dalam nawacita pemerintah. Tantangan pendidikan di era edukasional 4.0 sangat besar terutama dalam meningkatkan daya saing bangsa. Upaya dilakukan dengan peningkatan kompetensi pedagogik guru dan keterkaitannya dengan literasi digital yang dihadapi ketika guru akan mengikuti Ujian Kompetensi Guru, pengisian data peserta didik secara online, pengisian borang akreditasi, pembuatan media pembelajaran yang inovatif. Pembinaan sudah banyak dilakukan baik untuk pembinaan manajemen, kompetensi guru, parenting dan penelurusan bakat anak didik. Hal ini menjadi masalah baru yang perlu dipetakan dalam sistem yang akan dibangun berupa peningkatan kompetensi pedagogik guru dalam upaya pemberdayaan kemampuan literasi digital. Kegiatan tahap awal akan diintegrasikan pada pelatihan-pelatihan dan pendampingan dalam mengerjakan kegiatan yang berkaitan dengan teknogi sehingga diperoleh luaran ketrampilan literasi digital para tenaga pengajar PAUD. Hasil yang diperoleh adalah peningkatan kemampuan guru dalam mengakses program yang terkait dengan digitalisasi yang kemudian dikembangkan dalam bentuk kreativitas guru mendesain bahan ajar berbasis multimedia. Manfaat yang diperoleh adalah peningkatan kompetensi digital guru yang juga akan meningkatkan kualitas mutu lulusan. Kata kunci: Peningkatan daya saing PAUD, kompetensi pedagogik guru, literasi digital

APLIKASI PENDATAAN PENDUDUK PADA KELURAHAN PALABUHAN RATU BERBASIS ANDROID Dzikri Faizziyan; Mulyati Mulyati
PISSN
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.222 KB)

Pengolahan data kependudukan secara komputerisasi pada saat ini sangat dibutukan terutama pada instansi Pemerintahan. Salah satunya adalah pada Kelurahan Palabuhan Ratu. Saat ini kelurahan tersebut dalam mengelola data kependudukan masih dilakukan secara manual terutama dalam hal rekapitulasi dan filterisasi data masyarakat. Oleh karena itu dalam penelitian ini bertujuan untuk membuat aplikasi Pendataan Penduduk berbasis Android. Adapun metode yang digunakan dalam penelitian ini adalah adalah SDLC (System Development Life Cycle). Hasil penelitian ini berupa Aplikasi pendataaan Penduduk berbasis android. Aplikasi ini berisi Halaman Dashboard yang didalamnya ada menu Filter Usia. Menu Filter Pekerjaan dan Menu Data Penduduk yang berisi input data pendudukan, edit, dan Hapus dan Halaman detail Data. Sistem aplikasi ini dilakukan pengujian kompatibilitas diperoleh bahwa aplikasi ini sudah cukup baik dan layak untuk digunakan pada beberapa spesifikasi device.

Penggunaan Media Pembelajaran Interaktif dan Games Kahoot pada Materi Limit di Masa New Normal Isti Kamila; Mulyati Mulyati; Ani Andriyati; Embay Rohaeti; Maya Widyastiti
Pelita: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 1 (2022): Pelita: Jurnal Pengabdian kepada Masyarakat
Publisher : Perkumpulan Kualitama Edukatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (186.437 KB)

The partner involved in this community service activity is MA Al Falak. The devotion is to provide limit material by using interactive learning media and kahoot games to give a positive influence on the mastery of the concept of limit students of MA Al Falak. The implementation of devotion to the SCHOOL MA Al Falak carried out three stages. First, the provision of pretest, materials and kahoot games. The second, divide the class into two groups to get intensive guidance from two students involved in this PKM. Third, review of the material and the provision of posttest. The results of the implementation of this devotion based on the results of descriptive statistical calculations, there was an increase in student learning outcomes that can be seen from the average student pretest score of only 34.35 then increased to 78.70.

Classification of Asphalt Road Damage Based on Images Using the Convolutional Neural Network (CNN) Method M. Rivan Padila; Arie Qurania; Mulyati Mulyati
Jurnal Teknoinfo Vol. 20 No. 1 (2026): Period January 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/teknoinfo.v20i1.771

Damage to roads can cause inconvenience in driving and can even lead to accidents. Some of the damages that are often found on the road network are such as fine cracks, alligator skin cracks, potholes, asphalt grain release and others. The damage needs preventive handling because it is the main infrastructure in land transportation that is used every day plus areas with very high rainfall such as Indonesia, Damage to the road surface can occur more quickly. One method in artificial intelligence that can be used in identifying damaged roads is Convolutional Neural Networks (CNN). This method is capable of self-learning for object recognition, object extraction and classification and can be applied to high image resolution. The Citra data is taken from the results of google street view mapping with the application of the CNN model using YOLOv5, which is expected to be able to classify images specifically more effectively, objectively and safely in road maintenance efforts later. This research aims to classify image-based asphalt road damage using the Convolution Neural Network (CNN) method. The stages of this research consist of Data Selection, Preprocessing, Data Transformation, Data Mining and Pattern Evaluation using confusion matrix. The results obtained F1 score model of 73.5%, the value of mean Average Precision (mAP) of 75%, this shows that this model is able to classify fairly against all categories of data used.

Application of Linear Regression and Random Forest Algorithms in Predicting Human Development Index (HDI) Mulyati Mulyati; Nur Aynun Siregar; Khairunnisa
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 23 No. 1 (2026): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika.
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v23i1.76

The Human Development Index (HDI) is an important indicator for assessing the welfare and quality of life of the population in a region. The different growth of the HDI between regions indicates the need for accurate data-based analysis and prediction. One of them is a predictive analysis technique using the Linear Regression Algorithm and Random Forest. This study compares the two algorithms to predict the Human Development Index based on Expected Years of Schooling, Average Years of Schooling, Life Expectancy and adjusted Per Capita Income. The research stages include data collection, data pre-processing, data analysis and model evaluation. The results show that the use of the K-Fold Cross Validation method with a value of K = 5 produces a more optimal linear regression model compared to the Random Forest model. This is indicated by a higher coefficient of determination (R²) value and lower Root Mean Square Error (RMSE) and Mean Absolute Error (MAE).

Co-Authors Ani Andriyati Arie Qur’ania Dzikri Faizziyan Embay Rohaeti Erniyati Erniyati Henny Suharyati Isti Kamila Khairunnisa M. Rivan Padila Maya Widyastiti Muhammad Teguh Nur Aynun Siregar Sri Setyaningsih YUYUN ELIZABETH PATRAS, YUYUN ELIZABETH

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