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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Building of Informatics, Technology and Science Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Pengabdian Masyarakat IPTEK
Anwar, Badrul
Unknown Affiliation
Computer Science & IT

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Kombinasi Penerapan Metode WASPAS dan Rank Order Centroid (ROC) dalam Keputusan Pemilihan Teknologi Kamera Ponsel Terbaik Anwar, Badrul; Simatupang, Wakhinuddin; Muskhir, Mukhlidi; Irfan, Dedy; Nasyuha, Asyahri Hadi
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2655

Abstract

Smartphone camera technology is currently growing rapidly so that it has specifications that support it so that the results obtained are almost on par with the quality of digital cameras. Supported cellphone cameras can be used in learning photography, not necessarily with a digital camera. The increasing number of cellphone choices makes users who want to study photography confused in choosing a cellphone that has the best cellphone camera technology. So that a Decision Support System was applied in this study as a system for obtaining the best cellphone camera technology decisions. In making the right decision on selecting the best cellphone camera technology, it must meet the criteria for Number of Camera Features, Number of Main Cameras, Number of Front Cameras, Main Camera Resolution, Front camera Resolution, Optical Zoom and Quality of Video Recording. Therefore a Decision Support System is needed to solve the problem by applying the ROC (Rank Order Centroid) and WASPAS (Weighted Aggregated Sum Product Assessment) methods which can produce weight and preference values from the first ranking alternative. So that the selection of the best mobile camera technology for the best mobile camera technology can be found in table 7, namely the Samsung Galaxy S22 Ultra which is in the A5 alternative with the highest score of 3.8354 as the first rank
Application of the FP-Growth Method to Determine Drug Sales Patterns Anwar, Badrul; Ambiyar, Ambiyar; Fadhilah, Fadhilah
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12004

Abstract

Pharmacies are shops that sell and mix medicines based on doctors’ prescriptions and trade medical goods. Apart from being a business actor, the pharmacy also plays a role in providing health services that are easily accessible to the public. The problem that often occurs in pharmacies selling drugs is that they are less than optimal in service to consumers. The habit of consumers buying more than one type of drug makes pharmacy staff slow in providing the drug due to the inaccurate layout of the drug. The FP-Growth method in Data Mining is a method that can provide a solution in determining drug sales patterns at pharmacies. The FP-Growth method is a method used in determining the data set that occurs most frequently together (Frequent Itemset). The research objective was to determine drug sales patterns based on drug sales transaction data so that drug layouts could be determined. This research was conducted at the Pharmacy at the Pratama Sehati Husada Clinic in Medan with drug sales transaction data from November 2021 to December 2021. The results of applying the FP-Growth method with a value of ≥ 15% as a minimum support and a value of ≥ 15% as a minimum confidence, a pattern of drug sales in pairs. The application of Data Mining with the FP-Growth method has been implemented at the Pharmacy at the Pratama Sehati Husada Clinic with the desired goals with the final result in the form of a report on the results of determining drug sales patterns.
Weather Forecast In Medan City With Hopfield Artificial Neural Network Algorithm Anwar, Badrul; Jalinus, Nizwardi; Abdullah, Rijal
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12048

Abstract

Many aspects are very influential for the continuity of Indonesian society, especially Medan. One of the aspects that affect the continuity of the people of Medan is the weather. Weather plays an important role in various sectors, such as agriculture, aviation, and many other sectors. The Meteorology, Climatology and Geophysics Agency (BMKG) is always trying to develop their innovations to be able to provide accurate weather information to the public. To assist the process of disseminating weather information to the public in Medan City, we need a Weather Forecast application that uses Website-based computer technology so that it can help disseminate weather information easily and effectively which is generated through the support of the Hopfield method by connecting the application with BMKG data. Based on the results of this study, a weather forecasting application was successfully built to help disseminate weather information in Medan City to all Medan City people who want to get information about the weather.
Algoritma FP-Growth Menganalisa Pola Penjualan Pupuk dan Obat-obatan Pertanian UD Tenaga Tani Aceh Tenggara Syah Putra, Surianto; Syahril, Muhammad; Mariami, Ita; Anwar, Badrul; Sobirin, Sobirin
Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Vol. 7 No. 2 (2024): J-SISKO TECH EDISI JULI
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jsk.v7i2.10113

Abstract

UD Tenaga Tani Aceh Tenggara merupakan salah satu toko yang terletak di Simpang Semadam, Semadam, Kutacane, Aceh Tenggara, Aceh. Toko yang bergerak dalam penyediaan pupuk dan obat-obatan pertanian. Namun dalam proses pencatatan datanya, toko masih menggunakan sistem manual, sehingga toko Tak dapat mengidentifikasi dan mengklasifikasikan Pupuk dan obat-obatan pertanian mana yang memiliki volume penjualan tertinggi. Oleh karena itu, kesulitan yang dihadapi toko adalah produk yang laris manis sering kehabisan stok karena tingginya penjualan. Agar mempermudah pihak UD Tenaga Tani Aceh Tenggara terkait masalah dalam menentukan jenis pupuk dan obat-obatan pertanian yang perlu di stok lebih banyak maka dibuatlah sebuah program Data Mining dengan menggunakan metode FP-Growth untuk menyelesaikan masalah terkait. Hasil dari penelitian ini adalah terciptanya sebuah Sistem Data Mining yang dapat melakukan proses penilaian dengan hasil berupa keputusan dalam menentukan pola-pola penjualan jenis pupuk dan obat-obatan pertanian yangmana barang yang perlu di stok lebih banyak.
Pembuatan Sistem Informasi Pemesanan Catering Berbasis Web (Studi Kasus : Renita Catering): Pembuatan Sistem Informasi Pemesanan Catering Berbasis Web (Studi Kasus : Renita Catering) Samuel Ginting, Cris; Sari Ramadhan, Puji; Anwar, Badrul; Santoso, Ismawardi; Kustini, Rini; Budi Nugroho, Nurcahyo
Jurnal Pengabdian Masyarakat IPTEK Vol. 4 No. 2 (2024): Edisi Juli 2024
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/abdi.v4i2.10273

Abstract

Retina Catering merupakan usaha yang bergerak dalam bidang bisnis pemesanan makanan. Memperhatikan data yang diperoleh Renita Catering dengan menggunakan pengolahan data secara manual yang terkadang tentunya akan mengakibatkan kesalahpahaman dalam menerima pesanan maupun melakukan transaksi dengan pelanggan. Pemanfaatan sistem informasi yang dapat diakses secara online dapat meningkatkan pelayanan pelanggan maupun menjangkau pelanggan baru sehingga dapat meningkatkan kinerja bisnis. Maka dari itu, dengan dirancangnya sistem ini diharapkan dapat membantu pihak dari Renita Catering agar kiranya pemesanan catering secara online mudah dilakukan masyarakat karena hampir semua sudah mengenal penggunaan internet.
Co-Authors Abdullah, MT, Dr. Rijal Ambiyar, Ambiyar Asyahri Hadi Nasyuha Budi Nugroho, Nurcahyo Dedy Irfan Fadhilah Fadhilah Kustini, Rini Mariami, Ita Muhammad Syahril Muskhir, Mukhlidi Nizwardi Jalinus Samuel Ginting, Cris Santoso, Ismawardi Sari Ramadhan, Puji Simatupang, Wakhinuddin Sobirin Sobirin Syah Putra, Surianto