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All Journal Majalah Ilmiah Teknologi Elektro Telematika : Jurnal Informatika dan Teknologi Informasi INFORMAL: Informatics Journal JURNAL MEDIA INFORMATIKA BUDIDARMA METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal RESISTOR (Rekayasa Sistem Komputer) MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal Sistem Cerdas Jurnal Mantik Journal of Electrical, Electronics and Informatics Jurnal Teknik Informatika C.I.T. Medicom INSERT: Information System and Emerging Technology Journal Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi
Asana, I Made Dwi Putra
Institut Bisnis Dan Teknologi Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Transportation Veterinary

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Sistem Informasi Pengadaan Barang Berbasis Web pada PT. Arpan Bali Utama Sutriasih, Ni Kadek; Asana, I Made Dwi Putra; Meinarni, Ni Putu Suci
INSERT : Information System and Emerging Technology Journal Vol 2, No 1 (2021)
Publisher : Prodi Sistem Informasi, FTK, Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/insert.v2i1.35087

Abstract

PT Arpan Bali Utama merupakan perusahaan manufaktur yang bergerak dalam bidang produksi minuman wine. Adapun beberapa permasalahan yang ada yaitu disaat proses pencatatan transaksi pembelian dan penerimaan barang, serta permasalahan lainnya yaitu, pihak manager tidak memiliki laporan perbandingan pemesanan dan penerimaan sehingga tidak diketahui bagaimana pelayanan dari pihak supplier. Solusi dari masalah tersebut adalah dengan membangun sistem pengadaan barang. Langkah-langkah yang dilakukan dalam tahap pengembangan sistem ini antara lain dengan metode: analisis perancangan, implementasi dan pengujian sistem dengan black box testing dan pengujian User Acceptance Test (UAT). Hasil dari penelitian bahwa sistem informasi pengadaan barang dapat membantu perusahaan dalam pencatatan dan pelaporan pengadaan barang. Terdapat fitur data barang, data supplier, data purchase order, data penerimaan, data pembayaran serta data penjualan yang berfungsi dalam pencatatan pembelian dan penjualan barang. Selain itu juga terdapat fitur penjurnalan yang berfungsi untuk pencatatan biaya-biaya pada perusahaan. Manager perusahaan juga dapat mencetak laporan pembelian, penjualan, perbandingan, penerimaan, laporan jurnal, buku besar, laba rugi serta laporan neraca saldo. Hasil pengujian menggunakan metode black box testing dan pengujian User Acceptance Test (UAT). Metode black box testing menunjukkan bahwa semua fitur yang terdapat dalam sistem berjalan dengan baik sesuai fungsinya. Sedangkan hasil pengujian User Acceptance Test terhadap sistem pendukung keputusan ini memperoleh persentase 86.5%.
Metode Contrast Stretching untuk Perbaikan Kualitas Citra pada Proses Segmentasi Video I Made Dwi Putra Asana; I Made Oka Widyantara; N.M.A.E.D Wirastuti; Ida Bagus Putu Adnyana
Jurnal Teknologi Elektro Vol 16 No 2 (2017): (May - Agustus) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2358.061 KB) | DOI: 10.24843/MITE.2017.v16i02p01

Abstract

Paper ini mengusulkan contrast stretching sebagai perbaikan kualitas citra untuk meningkatkan hasil segmentasi pada proses segmentasi video. Data video yang digunakan merupakan video pemantauan aktifitas pergerakan garis pantai. Frame dari video yang digunakan memiliki komposisi cahaya matahari berbeda-beda sesuai dengan waktu akuisisi data. Dibutuhkan suatu teknik untuk mengatasi pengaruh cahaya matahari pada frame video. Contrast stretching diimplementasikan untuk memperbaiki nilai kontras pada frame sehingga obyek pada frame terlihat jelas. Dengan obyek yang terlihat jelas pada frame dapat meningkatkan hasil dari proses segmentasi. Pengujian implementasi contrast stretching sebagai preprocessing pada proses segmentasi dilakukan dengan metode silhouette coefficient. Implementasi contrast stretching sebagai preprocessing dalam segmentasi citra dapat menghasilkan segmentasi lebih baik dibandingkan tanpa preprocessing. Hal tersebut dinyatakan berdasarkan nilai silhouette width dari masing-masing hasil segmentasi citra.
Aplikasi Data Mining Asosiasi Barang Menggunakan Algoritma Apriori-TID I Made Dwi Putra Asana; I Gede Iwan Sudipa; A.A. Tri Wulandari Mayun; Ni Putu Suci Meinarni; Devi Valentino Waas
INFORMAL: Informatics Journal Vol 7 No 1 (2022): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v7i1.30901

Abstract

Information about consumer spending patterns is needed by retail companies in determining promotion strategies, placing merchandise on shelves, and inventory management. Most applications in retail companies only produce information from the company side. Applications owned by the company have not been able to generate transaction activity information from the customer side. The transaction activity information from the customer side is knowing consumer spending patterns in terms of buying goods. This information can overcome problems that are often faced by companies, namely customer complaints when there is a vacancy in inventory of pairs of goods that are often purchased by customers. This article describes the application of association data mining with the Apriori TID algorithm. Apriori-TID is a development of the Apriori algorithm. Apriori-TID plays a role in finding frequent itemsets based on minimum support. The application can generate goods association rules based on the minimum support and confidence values entered by the user. The association data mining application features dataset import, dataset analysis, and print analysis result reports. The association rules generated by the application are evaluated using the lift ratio method. The number of transactions, minimum support, and minimum confidence affect the number of rules generated by the application.
RANCANG BANGUN SISTEM INFORMASI AKUNTANSI PADA CV. MANIK GALIH BERBASIS WEBSITE Ni Putu Dita Ariani Sukma Dewi; I Made Dwi Putra Asana; I Putu Susila Handika
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 4 No. 1 (2020): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1887.252 KB) | DOI: 10.46880/jmika.Vol4No1.pp15-21

Abstract

Manik Galih merupakan sebuah perusahaan dagang yang bergerak di bidang industri mebel serta alat-alat elektrikal. Perusahaan ini didirikan pada tanggal 11 Februari 2014 oleh Komang Sri Ari Lestari. CV. Manik Galih berlokasi di Jl. Muding Indah Gg. Ratnasari No 10, Kelurahan Kerobokan Kaja, Kecamatan Kuta Utara, Kabupaten Badung. Permasalahan yang dihadapi pada CV. Manik Galih yaitu saat melakukan pencatatan transaksi keuangan, transaksi tersebut dibuat dalam sheet yang tidak beraturan, ketidakberaturan yang dimaksud adalah tidak sesuainya penempatan antara transaksi pada jurnal harian dengan akun-akun yang dibuat dalam buku besar yang mempengaruhi keakuratan data transaksi, sehingga pembuatan laporan neraca menjadi tidak seimbang (balance). Metode yang digunakan untuk membuat sistem informasi akuntansi pada CV. Manik Galih adalah metode wawancara, dokumentasi dan studi pustaka. Manfaat dan tujuan dari penelitian ini adalah membantu dalam mengelola data penjualan, pembelian serta menghasilkan laporan keuangan yang akurat dan tidak membutuhkan waktu yang lama. Hasil dari penelitian ini adalah menghasilkan sebuah program sistem informasi akuntansi berbasis website yang diharapkan dapat menjawab permasalahan yang dihadapai oleh CV. Manik Galih. Hasil pengujian dengan blackbox testing sistem informasi akuntansi pada CV. Manik Galih dinyatakan telah sesuai dengan fungsinya.
COVIMOS: A Coastal Video Monitoring System I Made Oka Widyantara; I Made Dwi Asana Putra; Ida Bagus Putu Adnyana
Journal of Electrical, Electronics and Informatics Vol 1 No 1 (2017): JEEI (February 2017)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2017.v01.i01.p01

Abstract

This paper intends to explain the development of Coastal Video Monitoring System (CoViMoS) with the main characteristics including low-cost and easy implementation. CoViMoS characteristics have been realized using the device IP camera for video image acquisition, and development of software applications with the main features including detection of shoreline and it changes are automatically. This capability was based on segmentation and classification techniques based on data mining. Detection of shoreline is done by segmenting a video image of the beach, to get a cluster of objects, namely land, sea and sky, using Self Organizing Map (SOM) algorithms. The mechanism of classification is done using K-Nearest Neighbor (K-NN) algorithms to provide the class labels to objects that have been generated on the segmentation process. Furthermore, the classification of land used as a reference object in the detection of costline. Implementation CoViMoS system for monitoring systems in Cucukan Beach, Gianyar regency, have shown that the developed system is able to detect the shoreline and its changes automatically.
Sistem Informasi Pengadaan Barang Berbasis Web pada PT. Arpan Bali Utama Ni Kadek Sutriasih; I Made Dwi Putra Asana; Ni Putu Suci Meinarni
INSERT : Information System and Emerging Technology Journal Vol. 2 No. 1 (2021)
Publisher : Prodi Sistem Informasi, FTK, Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/insert.v2i1.35087

Abstract

PT Arpan Bali Utama merupakan perusahaan manufaktur yang bergerak dalam bidang produksi minuman wine. Adapun beberapa permasalahan yang ada yaitu disaat proses pencatatan transaksi pembelian dan penerimaan barang, serta permasalahan lainnya yaitu, pihak manager tidak memiliki laporan perbandingan pemesanan dan penerimaan sehingga tidak diketahui bagaimana pelayanan dari pihak supplier. Solusi dari masalah tersebut adalah dengan membangun sistem pengadaan barang. Langkah-langkah yang dilakukan dalam tahap pengembangan sistem ini antara lain dengan metode: analisis perancangan, implementasi dan pengujian sistem dengan black box testing dan pengujian User Acceptance Test (UAT). Hasil dari penelitian bahwa sistem informasi pengadaan barang dapat membantu perusahaan dalam pencatatan dan pelaporan pengadaan barang. Terdapat fitur data barang, data supplier, data purchase order, data penerimaan, data pembayaran serta data penjualan yang berfungsi dalam pencatatan pembelian dan penjualan barang. Selain itu juga terdapat fitur penjurnalan yang berfungsi untuk pencatatan biaya-biaya pada perusahaan. Manager perusahaan juga dapat mencetak laporan pembelian, penjualan, perbandingan, penerimaan, laporan jurnal, buku besar, laba rugi serta laporan neraca saldo. Hasil pengujian menggunakan metode black box testing dan pengujian User Acceptance Test (UAT). Metode black box testing menunjukkan bahwa semua fitur yang terdapat dalam sistem berjalan dengan baik sesuai fungsinya. Sedangkan hasil pengujian User Acceptance Test terhadap sistem pendukung keputusan ini memperoleh persentase 86.5%.
Penerapan Apriori Hybrid Pada Transaksi Penjualan Barang I Made Dwi Putra Asana; Ni Luh Wiwik Sri Rahayu Ginantra; Wayan Gede Suka Parwita; Ni Kadek Bumi Krismentari; Ni Putu Suci Meinarni
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3350

Abstract

Ayu Nadi Swalayan is a retail company that produces a lot of every day sales transaction data, and it is stored for years without knowing the benefits and the placement of the goods is still random. From these problems, an effort is needed to process the data so the data is useful in the future. One of the process is using data mining techniques with apriori hybrid algorithm to find association rules for an items combination. Data product sale in a certain period is used to find the association rules. The results of this study are the development of applications that are used to determine consumer spending habits. So that the company can develop a strategy to promote the product sale and close placement for items that are often purchased together. The application testing found the effect of minimum support, minimum confidence on the number of rules, and lift ratio testing. The smaller the minimum support and minimum confidence, the more rules are generated and vice versa. The lift ratio value is directly proportional to the minimum confidence value and inversely proportional to the minimum support value. The higher the minimum confidence value, the higher the lift ratio value and vice versa. The more items in the transaction cause the minimum support threshold to be lowered in order to generate rules for the data analysis process with the hybrid apriori algorithm
IMPLEMENTASI ZONING DAN FITUR ARAH SEBAGAI EKSTRAKSI FITUR PADA PENGENALAN TULISAN TANGAN AKSARA BALI I Komang Arya Ganda Wiguna; I Made Dwi Putra Asana
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 4 No. 1 (2021): Jurnal RESISTOR Edisi April 2021
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v4i1.751

Abstract

Character recognition is one of the most researched fields in computer science. Combining the field of digital image processing and pattern recognition is a challenge in determining the most optimal method combination to complete character recognition. Balinese script is one of the regional scripts used in Balinese literary. The challenge with Balinese script is that some of its characters have a degree of similarity. So far, several methods of feature extraction that have been studied for Balinese script are modified direction feature, template matching, image centroid zone and zone centroid zone, local binary pattern. In this research, we combine methods based on zoning and directional features. The methods used are ICZ, ZCZ and freeman chain code to find the characteristics of Balinese script handwriting. The addition of chain code method aims to determine the value around the foreground point. The results of feature extraction will be used as input in the Support Vector Machine for the classification process. The test result shows that the combination of the ICZ, ZCZ and freeman chain code methods produces an accuracy of 89.09%, while the combination of ICZ and ZCZ produces 88.06% of accuracy. The SVM kernels compared use linear kernels.
Decision Support System For Employee Assessment At PT. Kupu-Kupu Taman Lestari Using AHP And BARS Methods: Decision Support System For Employee Assessment At PT. Kupu-Kupu Taman Lestari Using AHP And BARS Methods I Made Dwi Putra Asana; I Gede Iwan Sudipa; I Made Angga Wijaya
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (921.386 KB)

Abstract

Employee performance evaluation has an important role in the world of work, especially in the field of tourism as it relates to the decision to be taken by the company. PT. Kupu-Kupu Taman Lestari is a company engaged in the field of tourism and in desperate need of competent employees to achieve corporate goals. Therefore, PT. Kupu-Kupu Taman Lestari sustainable human resources management need to improve the quality of its employees, although previously been applied but for their eventual management turnover is not there anymore management which resulted in no clear and measurable standards, as well as the employees are not motivated to work. One way to manage human resources can be assessed employee assessment based on the criteria that have been determined each weight of importance to the method Analytic Process and behaviorally Anchor Hierarhcy Rating Scale which is used to overcome the problem of subjective assessment employee performance to be more objective. By using these two methods are expected to solve the problem of assessment of employees at PT. Kupu-Kupu Taman Lestari, so that a more objective assessment, recorded, measured and employee motivation.
FP-Growth Implementation in Frequent Itemset Mining for Consumer Shopping Pattern Analysis Application I Made Dwi Putra Asana; I Komang Arya Ganda Wiguna; Ketut Jaya Atmaja; I Putu Anjas Sanjaya
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1075.pp2063-2070

Abstract

Most retail companies have implemented computer-based information systems for recording sales transaction data. In the implementation of information systems, the data collected in the database is processed limited to making reports such as sales reports and inventory reports. Database generated from computer-based information systems can be further processed to obtain more valuable information. One strategy for using sales transaction data is to analyze consumer spending patterns. Consumer spending patterns can be in the form of associations of items that are often purchased simultaneously. The association between goods can be determined using the frequent itemset search technique. The Fp-growth algorithm is an algorithm that can be used to determine frequent itemsets in a data set. This article describes the results of implementing the FP-Growth algorithm in the consumer shopping pattern analysis application. The resulting shopping pattern is in the form of goods that are often purchased simultaneously by consumers. From the results of the application of the fp-growth algorithm, it was found that the minimum value of support had an effect, namely the smaller the input value of support, the more pairs of items were obtained. The application of the FP-Growth algorithm in determining frequent itemsets in association data mining can find customer spending habits in buying goods simultaneously.
Co-Authors A.A. Tri Wulandari Mayun A.A.G.Bagus Ariana Atmaja, Ketut Jaya Devi Valentino Waas Dirgayusari, Ayu Manik Gede Aldhi Pradana I Gede Iwan Sudipa I Komang Arya Ganda Wiguna I Made Angga Wijaya I Made Deni Kurniadi I Made Oka Widyantara I N.T.A. Putra I Putu Anjas Sanjaya I Putu Susila Handika Ida Bagus Putu Adnyana K. Jaya Atmaja Kadek Ari Prayoga Putra Meinarni, Ni Putu Suci Ni Kadek Bumi Krismentari Ni Kadek Sutriasih NI LUH KARTIKA DEWI Ni Luh Wiwik Sri Rahayu Ginantra Ni M.M.R. Desmayani Ni Made Ary Esta Dewi Wirastuti Ni Putu Della Tirta Yanti Ni Putu Dita Ariani Sukma Dewi Ni Putu Suci Meinarni Ni Putu Suci Meinarni NI PUTU SUCI MEINARNI Rini Komalasari Santi Ika Murpratiwi Sugihya Artha Dwipayani Sugihya Artha Dwipayani Sutriasih, Ni Kadek Wayan Gede Suka Parwita