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All Journal Majalah Ilmiah Teknologi Elektro Telematika : Jurnal Informatika dan Teknologi Informasi JUITA : Jurnal Informatika INFORMAL: Informatics Journal Sinkron : Jurnal dan Penelitian Teknik Informatika 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 Indonesian Journal of Data and Science Journal of Computer Networks, Architecture and High Performance Computing INSERT: Information System and Emerging Technology Journal Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Majalah Ilmiah Teknologi Elektro KOMET
Asana, I Made Dwi Putra
Institut Bisnis Dan Teknologi Indonesia
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences

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Sales Forecasting Applications For Retail Companies Using Double Exponential Smoothing And Golden Section Methods I Made Dwi Putra Asana; I Made Deni Kurniadi; Sugihya Artha Dwipayani; Ketut Jaya Atmaja
Jurnal Mantik Vol. 6 No. 2 (2022): August: 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.v6i2.2584

Abstract

The availability of goods becomes one of the keys to the success of supermarket business in fulfilling consumer needs. The Forecasting methods can help to predict the sales in the future and it can help to find sales statistics daily, monthly or yearly. The application of exponential smoothing requires the process of determining the smoothing value by performing several tests. The determination of smoothing is a challenge in the forecasting process because it takes several tests of the optimal smoothing value to reduce forecasting errors. This study proposed the application of the golden section in optimizing the determination of the smoothing value. Golden section is an optimization method that provides extreme values ??of a non-linear function by reducing the range of values ??that contain extreme values. The results of the Forecasting method were based on the training data in which the trend and the result of the forecasting approached to the training data that used for forecasting. According to the results of the forecasting which conducted based on the training data was MAPE 26.460474 % and MAPE results from comparison of testing data obtained was 21.89696%.
Aplikasi Analisis Kondisi Kesehatan Koperasi pada KSU Sedhana Wiguna Werdhi Berbasis Website NI LUH KARTIKA DEWI; I MADE DWI PUTRA ASANA; NI PUTU SUCI MEINARNI
MIND (Multimedia Artificial Intelligent Networking Database) Journal Vol 6, No 1 (2021): MIND Journal
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/mindjournal.v6i1.89-102

Abstract

AbstrakKegiatan operasional pada KSU Sedhana Wiguna Werdhi sudah menggunakan sistem informasi berbasis website, namun terjadi kendala saat koperasi ingin mengetahui gambaran mengenai kondisi kesehatan koperasinya. Selain itu koperasi juga ingin tahu cara untuk mempertahankan atau meningkatkan predikat kesehatan koperasinya. Oleh karena itu, koperasi membutuhkan sistem yang dapat memberikan sebuah gambaran mengenai kondisi kesehatan koperasi. Adapun hasil akhir dari penelitian ini untuk membangun sebuah aplikasi analisis kondisi kesehatan koperasi berbasis website yang dapat membantu manajemen koperasi dalam memberikan gambaran mengenai predikat kesehatan koperasinya dan memberikan gambaran tindakan yang harus dilakukan untuk mempertahankan atau meningkatkan predikat kesehatan koperasinya berdasarkan Peraturan Deputi Bidang Pengawasan Kementrian Koperasi dan Usaha Kecil dan Menengah Republik Indonesia Nomor 06/Per/Dep.6/IV/2016 tentang pedoman penilaian kesehatan koperasi simpan pinjam dan unit usaha simpan pinjam koperasi.Kata kunci: sistem penilaian koperasi, kesehatan koperasi, 7 aspek.AbstractOperational activities at KSU Sedhana Wiguna Werdhi already use a computerized system using a website system. However, they have a problem how to get the health representation. Also KSU Sedhana Wiguna Werdhi did not know what they should to do to maintain or upgrade their predicate of health. Based on the problems, the solution is build a systems that will helped the cooperation to give a health valuation representation of the cooperative. The final results of this research is build a cooperative health condition analysis application. This systems will helped the cooperation to give a health valuation representation of the cooperative and also give a suggestions for maintain or upgrade their predicate of health representation according to government regulation number 06 / Per / Dep.6 / IV / 2016. Keywords: cooperatives valuation system, cooperations health, 7 aspects. 
A Decision Support System on Employee Assessment Using Analytical Network Process (ANP) and BARS Methods I Made Dwi Putra Asana; I Gede Iwan Sudipa; Kadek Ari Prayoga Putra
Jurnal Teknik Informatika C.I.T Medicom Vol 13 No 1 (2021): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol13.2021.38.pp1-12

Abstract

Employee assessment is needed in evaluating performance and granting rewards to employees. PT. Kupu-Kupu Taman Lestari conducts an employee performance appraisal using Microsoft Excel. The growth of employee data and assessment variables resulted in the calculation method that was carried out could not provide employee ranking information quickly. The application of Microsoft Excel in processing employee valuation data has weaknesses in data documentation. The purpose of this study is the company has a website-based decision support system that makes it easy for companies to get employee performance appraisal information. The employee performance data ranking method used is the Analytical Network Process (ANP) and the performance evaluation criteria are prepared based on the Behaviorally Anchor Rating Scale (BARS) approach. BARS is used in determining criteria along with a scale of behavior that represents the performance of each criterion. ANP is used to process data of importance between criteria so that it can produce criteria weights based on a comparison between criteria. The results of this study are website-based decision support systems that can be accessed by company management via a web browser. System testing is built based on testing manual calculations with the system and testing the user's system according to the McCall model. The system calculation test shows that the system has produced the same calculation value as the manual calculation. System user testing shows that the system built meets user needs, displays information according to user input correctly, is safe from unauthorized parties, and the system is easy to use.
Mask Detection System Using Convolutional Neural Network Method on Surveillance Camera I Made Dwi Putra Asana; Gede Aldhi Pradana; I Putu Susila Handika; Santi Ika Murpratiwi
Telematika Vol 19, No 2 (2022): Edisi Juni 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i2.7246

Abstract

The Covid-19 has been an epidemic that has taken the world by storm since the beginning of 2020. This Covid-19 outbreak can spread easily through the air. Because Covid-19 can transmit easily, the government implements new behavior based on an adaption to develop a clean and healthy lifestyle which is often called the new normal. One way to live the new normal is to wear a mask when leaving the house. To help increase public awareness in using masks, numerous technology- based studies have been carried out. This article explain an application using the python programming language that applies digital image processing in terms of detecting the use of masks using Deep Learning with the Convolutional Neural Network (CNN) method to classify data that has been labeled using the supervised learning method. In designing this CNN architectural model, a total of 2110 images of people wearing and without wearing masks will be used, this dataset will be divided into 2 parts, with a rate of 8020, where 80 of the dataset will be used as training data, 20 is used as validation data. In testing the model by taking a total of 100 images with a 5050 ratio between face images using masks and not using masks tested using a confusion matrix, it produces 97% of an accuracy rate, 100% of precision rate, and 94% of recall in recognizing facial images that use masks and don't use masks 
Sistem Klasifikasi Pengajuan Kredit dengan Metode Support Vector Machine (SVM) Ni Putu Della Tirta Yanti; I Made Dwi Putra Asana
Jurnal Sistem Cerdas Vol. 6 No. 2 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Entering the era of the Covid-19 pandemic, lending capital (credit) to KOPPAS has increased, causing a lot of data and slowing down the credit disbursement process. Currently, KOPPAS has not implemented a support system that can provide consideration for credit granting decisions. Therefore, in this study, researchers will discuss the design and development of a decision support application system for granting credit using the Support Vector Machine (SVM) method, to speed up the credit granting process, prevent the level of subjectivity in granting credit, and to minimize the occurrence of bad loans. resulting from errors in the decision-making process. The development of this system uses modeling techniques with data classification processes and the CRISP-DM development method. In this case, the Support Vector Machine method classifies data into 2 classes, namely feasible and infeasible classes. The model development process uses the Radial Basis Function (RBF) kernel parameter by exploring the use of C (cost) and y (gamma) parameter values. This development model uses 200 data with the attributes used in the form of the loan amount, term, collateral value, guarantor agreement, occupation, and loan history. The use of these attributes and the amount of data can produce quite good performance with the highest accuracy rate of 85% using C = 1 and y = 0.005 and the distribution of data is 80% training data and 20% testing data. With the performance of this model, the system can classify creditworthiness.
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%.
Perancangan Media Informasi Berbasis Video Dokumenter Pengenalan Produk Bio Gas Kelompok Tani Simantri Sandakan, Sulangai, Petang Putra, I Putu Satria Udyana; Asana, I Made Dwi Putra; Santika, Putu Praba; Atmaja, Ketut Jaya; Putu Wirayudi Aditama; Suandana, Ni Putu Widantari; I Wayan Krishna Sangging Wiguna
ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Vol. 2 No. 1 (2024): Januari : ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/aspirasi.v2i1.344

Abstract

The province of Bali, Indonesia, as a tropical destination with abundant natural resources, exhibits a serious focus on the agriculture and livestock sectors. The Simantri program, as a local government innovation, aims to accelerate the adoption of agricultural technology in rural communities. Bio gas, as a renewable energy alternative, emerges as a crucial solution amid the challenges posed by unsustainable fossil fuels. The Simantri Farmers Group in Br. Sandakan, Sulangai Village, faces challenges in introducing their bio gas products to the community. In the Community Service activity, a documentary video was created as an effective informational medium, successfully introducing, enhancing understanding, and raising awareness about the use of bio gas among the community. The video not only promoted the product but also strengthened the role of Simantri in village development and tourism potential. The success of this activity reaffirms that utilizing video-based informational media is an effective step in introducing innovations, enhancing understanding, and supporting the well-being of the local community.
Comparison of Automation Testing On Card Printer Project Using Playwright And Selenium Tools Melyawati, Ni Luh Putu; Asana, I Made Dwi Putra; Putri, Ni Wayan Suardiati; Atmaja, Ketut Jaya; Sudipa, I Gede Iwan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4362

Abstract

The quality of the software is greatly determined by the testing phase, which involves various test cases that can be conducted through manual testing and automation testing. Manual testing is performed manually without using automation scripts, whereas automation testing is conducted using automation scripts. ABC is a company that operates globally in the field of access control, with the Card Printer being one of the menus used in access control. In the development process of this software, both manual and automation testing phases are carried out. The automation testing process employs the Selenium tool, which has proven to be time-consuming and poses challenges when running numerous test cases. This research aims to develop automation testing using Playwright to address the long execution time issue encountered with Selenium. The research utilizes the Card Printer project in the development of automation testing and adopts the Agile methodology. The result of developing automation testing using Playwright was successfully applied to 12 test cases. Additionally, the time analysis between Playwright and Selenium showed that Playwright has a total execution time of 4.9 minutes, which is faster compared to Selenium's total execution time of 8.3 minutes. With faster execution times, Playwright can be considered a tool in the development of automation testing.
Naïve Bayes-based Student Graduation Prediction Model: Effectiveness and Implementation to Improve Timely Graduation Atmaja, Ketut Jaya; Indrawan, I Putu Yoga; Asana, I Made Dwi Putra; Wawan, I Kadek; Udayanie, Ayu Gde Chrisna
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4408

Abstract

Studies in an educational institution, when the lack of timely graduation of students in each batch and the number of students in each batch, causes an imbalance between incoming students and outgoing students and causes a decrease in accreditation from the campus, this should not continue to happen, the solution to dealing with this problem as an early detection of students who graduate on time is to predict the length of the student study period they have. Therefore, researchers will discuss the design of a prediction system for graduating on time using the Naïve Bayes method, to predict student graduation so that there is no imbalance of incoming and outgoing students. The construction of this system also uses the Naïve Bayes method and the CRISP-DM (Cross Industry Standard Process Data Mining) development method. In this case study, the Naïve Bayes method predicts data into 2, namely 1 (graduated on time) and 0 (did not graduate on time) by labeling the data used. In this model using 3247 data with the selection of features, namely semester achievement index 1 (ips1), ips2, ips3, ips4, ips5, semester credit units1 (credits1), credits2, credits3, credits4, credits5, semester credit units not passed 1 (skstidaklulus1), skstidaklulus2, skstidaklulus3, skstidaklulus4, skstidaklulus5 and labels. Using these feature variables results in model performance with 80% accuracy, with 80% accuracy it can be said that the model works well.
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 : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | 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.
Co-Authors A.A. Tri Wulandari Mayun Astari, Gusti Ayu Shinta Dwi Atmaja, Ketut Jaya Devi Valentino Waas Dewa Made Wiharta Dewi, Ni Putu Wahyuni Dewi, Ni Wayan Jeri Kusuma Dirgayusari, Ayu Manik Gede Aldhi Pradana Gunawan, I Komang Agus Bryan I Gede Iwan Sudipa I Komang Arya Ganda Wiguna I Made Angga Wijaya I Made Deni Kurniadi I Made Oka Widyantara I Putu Anjas Sanjaya I Putu Susila Handika I Putu Yoga Indrawan I Wayan Krishna Sangging Wiguna Ida Bagus Putu Adnyana Ida Bagus Putu Adnyana Kadek Ari Prayoga Putra Krismentari, Ni Kadek Bumi Libraeni, Luh Gede Bevi Linawati Linawati Meinarni, Ni Putu Suci Melyawati, Ni Luh Putu N.M.A.E.D Wirastuti NI LUH KARTIKA DEWI Ni Luh Wiwik Sri Rahayu Ginantra 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 Widantari Suandana Ni Wayan Suardiati Putri Nirwana, Ni Kade Ayu Nirwana, Ni Kadek Ayu Oka, I Dewa Gede Ari Putra, I Putu Satria Udyana Putra, Putu Satria Udyana Putu Gede Surya Cipta Nugraha Putu Praba Santika Putu Wirayudi Aditama Radhitya, Made Leo Rini Komalasari Sandhiyasa, I Made Subrata Santi Ika Murpratiwi Semadi, Ketut Ngurah Sugihya Artha Dwipayani Sugihya Artha Dwipayani Sutriasih, Ni Kadek Udayanie, Ayu Gde Chrisna Wahyudi, I Putu Alfin Teguh Wawan, I Kadek Wayan Gede Suka Parwita Wiguna, I Komang Arya Ganda Wijaya, Bagus Kusuma Wikananda, I Gusti Ngurah Satya