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Analisis Penentuan Penginapan dengan Metode AHP dan Promethee Muntiari, Novita Ranti; Sunardi, Sunardi; Fadlil, Abdul
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol10iss2pp173-179

Abstract

Traveling to a place with a period of days requires a place to stay. The problem is determining accommodation according to the wishes of different visitors, such as prices according to the type of lodging, complete facilities or not at the inn, and the distance to other places from the inn. There are too many lodging options that make it difficult for visitors to determine the best alternative. This research focuses on lodging in the Malioboro area of Yogyakarta by using the criteria of distance, price, class of accommodation, room facilities, and supporting facilities. AHP method is used to determine the weight of each criterion, then the weight of each criterion is calculated using Promethee with the usual or general criteria preference type, to produce a net flow value. Combination of two methods is better because the AHP method is more suitable to be used to find the weight of each criterion and Promethee by using a preference index as needed by producing suitable alternatives. The result of AHP and Promethee calculations obtained with the PP3 alternativewith a net flow value of 0.2 to be the first rank and it can be stated that the existing criteria are very suitable for what visitors want.
Pengembangan Sistem Inventory Alat Tulis Kantor (ATK) Berbasis Web Rusydi Umar; Novita Ranti Muntiari; Ermin E; Iqbal Bustomi; Fitriyani Tella
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i1.190

Abstract

Developments in the technological era are increasingly developing and people's needs vary with the desire to accelerate a job in a systematic and more effective and efficient manner. The problems faced by PT. XYZ in supplies of office equipment are still poorly organized and there is no reporting on the use of office stationery (ATK) and inhibitors of employee productivity because there is no precise inventory information and delays in making reports. Facilitates the company in the process of inventory input Application of the method in this research is to use the classic life cycle (CLC) method, known as the process design, which is carried out sequentially, with the research stages beginning with analysis, design, coding and testing.From the several stages that have been carried out in this researcher can produce reports stock of goods and office stationery information updated to users or visitors.
Pengembangan Sistem Inventory Alat Tulis Kantor (ATK) Berbasis Web Rusydi Umar; Novita Ranti Muntiari; Ermin E; Iqbal Bustomi; Fitriyani Tella
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1175.712 KB) | DOI: 10.30645/j-sakti.v4i1.190

Abstract

Developments in the technological era are increasingly developing and people's needs vary with the desire to accelerate a job in a systematic and more effective and efficient manner. The problems faced by PT. XYZ in supplies of office equipment are still poorly organized and there is no reporting on the use of office stationery (ATK) and inhibitors of employee productivity because there is no precise inventory information and delays in making reports. Facilitates the company in the process of inventory input Application of the method in this research is to use the classic life cycle (CLC) method, known as the process design, which is carried out sequentially, with the research stages beginning with analysis, design, coding and testing.From the several stages that have been carried out in this researcher can produce reports stock of goods and office stationery information updated to users or visitors.
Pelatihan Penulisan Artikel Ilmiah dengan Menggunakan Tips dan Trik Pengoptimalan Teknologi Khoirun Nisa; Purwono Purwono; Novita Ranti Muntiari
Jurnal Pengabdian Masyarakat - PIMAS Vol 1 No 1 (2022): Februari
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (761.706 KB) | DOI: 10.35960/pimas.v1i1.746

Abstract

Publikasi mempunyai peranan penting dalam dunia pendidikan, bagi tenaga pengajar maupun mahasiswa. Berdasarkan dua sudut pandang, yang pertama dari tenaga pendidik bahwa Publikasi ilmiah menjadi indikator utama kinerja akademik, Hasil penelitian tidak berarti tanpa adanya suatu publikasi, baik dipublikasikan di media online maupun di media cetak. Sedangkan yang kedua, dilihat dari mahasiswa bahwa membuat publikasi dibeberapa perguruan tinggi merupakan syarat untuk mencapai sebuah kelulusan. Oleh karena itu, pengabdi melakukan pengabdian masyarat tentang pembuatan jurnal secara mudah dengan menggunakan metode ceramah, praktek, dan diskusi. Kegiatan ini mendapat respon peserta sangat baik dilihat dari perhitungan angket yang disebarkan oleh panitia yaitu 87,78 %.
Klasifikasi Penyakit Kanker Payudara Menggunakan Perbandingan Algoritma Machine Learning Novita Ranti Muntiari; Kharis Hudaiby Hanif
Jurnal IT UHB Vol 3 No 1 (2022): Jurnal Ilmu Komputer dan Teknologi
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/ikomti.v3i1.766

Abstract

Salah satu penyakit yang sangat ditakuti adalah kanker payudara, kanker payudara termasuk penyakit yang mematikan pada Wanita. Kanker payudara dikelompokkan menjadi dua jenis, yaitu ganas dan jinak. Dalam pengelompokkan jenis ini dibutuhkan metode yang cepat agar dapat membantu dalam pengambilan keputusan. Machine learning adalah bagian dari bidang kecerdasan buatan yang berfokus pada penerapan algoritma dan metode khusus untuk prediksi, pengenalan pola, dan klasifikasi. Sehingga Machine learning dapat membantu dalam mengelompokkan jenis kanker payudara. Penelitian ini menggunakan 7 algoritma yaitu neural network, decision tree, naïve bayes, k-nearest neighbor, logistic regresion, random forest, dan support vector machines dalam mengelompokkan jenis kanker payudara. Dengan pengolahan data menggunakan aplikasi RapidMiner didapat bahwa nilai akurasi dari algoritma logistic regresion, decision tree, naïve bayes dan k-nearest neighbor memiliki nilai akurasi yang sama tinggi yaitu sebesar 95,00%. Sehingga algoritma logistic regresion, decision tree, naïve bayes dan k-nearest neighbor mempercepat pengambilan keputusan dalam memprediksi dalam klasifikasi penentuan jenis kanker payudara.