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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Techno.Com: Jurnal Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Scientific Journal of Informatics CESS (Journal of Computer Engineering, System and Science) Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Jurnal Teknologi dan Sistem Komputer JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) International Journal of Natural Science and Engineering Jurnal Riset Informatika Jurnal Praksis dan Dedikasi Sosial Logic : Jurnal Rancang Bangun Dan Teknologi Jurnal Ilmiah Teknologi dan Komputer (JITTER) SmartComp
Gusti Agung Ayu Putri
Universitas Udayana
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Other

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IMPLEMENTASI MACHINE LEARNING UNTUK MENINGKATKAN KUALITAS OPERASIONAL SERVICE KENDARAAN DENGAN METODE RANDOM FOREST DAN LOGISTIC REGRESSION Mandenni, Ni Made Ika Marini; Wiratama, I Putu Bayu Adhya; Setiawan, Ariyono; Putri, Gusti Agung Ayu; Dana, I Putu Ngurah Krisna
Jurnal Praksis dan Dedikasi Sosial (JPDS) Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um032v7i2p206-213

Abstract

IMPLEMENTATION OF MACHINE LEARNING TO IMPROVE THE QUALITY OF VEHICLE SERVICE OPERATIONS WITH RANDOM FOREST AND LOGISTIC REGRESSION METHODS Vehicle motor repairs (service) are an important aspect for motor vehicle owners to undertake. This activity is carried out by automotive workshops to ensure that the customer's vehicle is in prime condition. To boost sales, some automotive workshops offer various promotional packages to attract customer interest. However, in practice, this is done manually by workshop staff, resulting in suboptimal performance in offer presentations (customer calls). This research aims to build a recommendation system for package deals and offer dates to enhance the quality of customer calls in the operations of automotive workshops using Random Forest and Logistic Regression. The dataset used is operational data from customer calls at one automotive workshop in Bali. The Random Forest model achieves 91 percent accuracy, while Logistic Regression achieves 72 percent accuracy. The system developed can be used to recommend good package deals and offer dates to customers. Perbaikan kendaraan bermotor (service) merupakan hal penting untuk dilakukan bagi pemilik kendaraan bermotor. Kegiatan ini dilakukan oleh bengkel otomotif untuk memastikan kondisi kendaraan customer dalam kondisi prima. Untuk meningkatkan penjualan, beberapa bengkel otomotif menawarkan berbagai paket promo untuk menarik minat customer. Namun dalam pelaksanaannya, hal ini dilakukan secara manual oleh staff bengkel yang mengakibatkan performa penawaran (customer call) kurang optimal. Penelitian ini bertujuan untuk membangun sistem rekomendasi paket dan tanggal penawaran untuk meningkatkan kualitas customer call pada operasional bengkel otomotif menggunakan Random Forest dan Logistic Regression. Dataset yang digunakan adalah data operasional customer call salah satu bengkel otomotif di Bali. Model Random Forest mencapai akurasi 91 persen dan Logistic Regression mencapai akurasi 72 persen. Sistem yang dibangun dapat digunakan untuk merekomendasikan paket dan tanggal penawaran yang baik untuk ditawarkan kepada customer.
Workshop Marketplace System Using Rajaongkir API, Leaflet API and Midtrans Payment Gateway Arta, Ketut Nila; Sudana, A.A Kompiang Oka; Putri, Gusti Agung Ayu
International Journal of Natural Science and Engineering Vol. 6 No. 1 (2022): April
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (364.965 KB) | DOI: 10.23887/ijnse.v6i1.44033

Abstract

The automotive shop is a business engaged in the automotive sector that serves vehicle repairs and sales of various kinds of vehicle spare parts. A marketplace is a place for buying and selling or a market that uses internet media. The current marketplace is still very common, making it difficult to find a marketplace that focuses on the automotive sector and difficult to find information about available automotive shops around. The automotive shop marketplace system can help to carry out the process of buying and selling vehicle spare parts and assist in finding various spare parts and information about available automotive shops based on the user's location. This system was developed on a web-based basis using the PHP programming language with the Laravel framework and integrated with the Leaflet API, RajaOngkir API, and Midtrans Payment Gateway as additional features in creating a marketplace. The leaflet API displays a map containing the location of the automotive shop listed on the marketplace. RajaOngkir API provides information about shipping costs to the buyer's place from the seller's place. Midtrans Payment Gateway bridges the payment process carried out by both parties so that it can take place properly. The method used in this research is to use the System Development Life Cycle (SDLC) waterfall method. The results of the research conducted were tested using the black-box method.
OWASP Framework and OCTAVE Method for Penetration Testing Web Apps of College X Darmayuda, I Putu Gede Angga Mas; Sasmita, Gusti Made Arya; Putri, Gusti Agung Ayu
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 12 No 2 (2024): Vol. 12, No. 2, August 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2024.v12.i02.p03

Abstract

Information system security is a major focus for many organizations as increasingly sophisticated cyberattacks threaten the confidentiality, integrity and availability of online services. This research aims to identify and assess vulnerabilities in web applications at College X by using the OWASP framework and OCTAVE method. OWASP is used to identify common and critical web vulnerabilities, while OCTAVE provides a holistic understanding of an organization's security risks. Testing was conducted with the tools and techniques recommended by both frameworks. The results found a number of vulnerabilities, including two low-level and one high-level. The findings underscore the importance of systematic penetration testing and risk assessment to keep web applications secure in educational environments.
Information Technology Risk Analysis Using ISO 27005:2022 At Diskominfo Tabanan Regency Astini, Ni Kadek Dheananda; Gusti Agung Ayu Putri; Dwi Putra Githa
Jurnal Riset Informatika Vol. 7 No. 4 (2025): September 2025
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v7i4.394

Abstract

The advancement of information technology (IT) provides significant benefits for organizational operations, including the Department of Communication and Informatics (Diskominfo) of Tabanan Regency. However, IT implementatiocn also brings security risks, such as hacking and cyberattacks, which can threaten the continuity of public services. This study aims to implement risk management based on ISO/IEC 27005:2022 to protect the IT assets owned by Diskominfo Tabanan Regency. The stages carried out include context establishment, risk identification, risk analysis, risk evaluation, and recommendations. In the risk identification stage, 28 IT assets, 57 threats, existing controls for each asset, vulnerabilities of these controls, and potential consequences were identified. In the risk analysis stage, eight respondents were asked to complete a questionnaire to assess the impact of threats and the likelihood of their occurrence, with the average impact and likelihood scores being 3 and 4, respectively. Based on the questionnaire results, the study will proceed with risk level assessment to determine risk levels based on the previous analysis. Subsequently, a risk evaluation will be conducted to provide recommendations for effective mitigation measures. This IT risk analysis study resulted in mitigation recommendations for threats that could potentially impact Diskominfo Tabanan Regency IT assets. The recommendations were developed based on the severity level of each risk after analysis, referring to common practices in both public and private sectors, as well as sources such as research journals, relevant literature, and the ISO/IEC 27005 standard
Pengembangan Business Intelligence Dashboard untuk Monitoring Aktivitas Pariwisata (Studi Kasus: Dinas Pariwisata Provinsi Bali) Saragih, Evan Himawan; Bayupati, I Putu Agung; Putri, Gusti Agung Ayu
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 6: Desember 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021863755

Abstract

Bali merupakan satu dari beberapa destinasi wisata yang mendatangkan wisatawan nusantara dan mancanegara di Indonesia. Pada tahun 2017, wisatawan mancanegara yang berkunjung ke Bali adalah sebesar 5,6 juta orang dan didominasi oleh wisatawan dari negara Cina. Jumlah kunjungan pada seluruh objek wisata yang ada di Bali tahun 2017 mencapai 17,8 juta kunjungan. Berdasarkan hal tersebut, pemerintah daerah membutuhkan strategi dan keputusan dalam pembangunan sarana dan prasarana yang dapat mendukung pengembangan dan kemajuan pariwisata di Bali. Pemanfaatan teknologi business intelligence dalam menganalisa data dalam jumlah yang besar akan membantu. Penelitian ini mengembangkan sistem informasi memakai pendekatan BI dalam menganalisis data pariwisata Bali dan manajemen data dengan menggantikan pemakaian kertas menjadi media komputer sehingga data tidak hilang begitu saja, namun digunakan sebagai acuan saat menentukan keputusan. Dalam pengembangan sistem digunakan beberapa metode diantaranya framework Codeigniter dengan arsitektur web MVC (Model, View, Controller), OLAP (On-line Analytical Processing) untuk menampilkan visualisasi data, dan double exponential smoothing menampilkan hasil peramalan data pada periode berikutnya. Nilai error dari metode peramalan tersebut dapat dihitung menggunakan algoritma Mean Absolute Percentage Error. Agar dapat mengetahui tingkat pemanfaatan terhadap pengembangan sistem ini, maka digunakan metode black box testing, usability testing, dan user acceptance test untuk mengetahui kualitas dan fungsionalitas sistem dari segi input, output, dan penilaian oleh pengguna sistem. Penelitian ini memperlihatkan bahwa pemakaian teknologi BI tidak hanya mendukung pada perusahaan namun juga mendukung pada bidang pariwisata, pemerintahan dan layanan. Sistem yang dikembangkan dapat membantu proses pemantauan pariwisata dan pendukung dalam pengambilan keputusan. AbstractBali is one of several tourist destinations that bring domestic and foreign tourists to Indonesia. In 2017, there were 5.6 million foreign tourists visiting Bali and dominated by tourists from China. The number of visits to all tourist objects in Bali in 2017 reached 17.8 million visits. Based on this, local governments need strategies and decisions in the development of facilities and infrastructure that can support the development and progress of tourism in Bali. The use of business intelligence technology in analyzing large amounts of data will help. This study develops an information system using the BI approach in analyzing Bali tourism data and data management by replacing paper use as computer media so that data does not just disappear, but is used as a reference when making decisions. In system development, several methods are used including the Codeigniter framework with the MVC web architecture (Model, View, Controller), OLAP (On-line Analytical Processing) to display data visualization, and double exponential smoothing to display the results of forecasting data in the next period. The error value of this forecasting method can be calculated using the Mean Absolute Percentage Error algorithm. In order to determine the level of utilization of this system development, black box testing, usability testing and user acceptance tests are used to determine the quality and functionality of the system in terms of input, output, and assessment by system users. This study shows that the use of BI technology is not only supportive of companies but also supports tourism, government and services. The system developed can assist the tourism monitoring process and support decision making.
E-Dharmagita Learning Model Innovation with Mobile and Multimedia Technology Sudana, Oka; Sukma, Kd. Vigyan Melati; Wirdiani, Ayu; Putri, Gusti Agung Ayu
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.46653

Abstract

Purpose: Yadnya ceremony is a sacred sacrifice performed with sincere and wholehearted devotion by Hindus to God, spiritual leaders or teachers, fellow humans, the ancestors, and Bhuta_Kala. The implementation of the Yadnya ceremony is_usually accompanied by a spiritual chant of the Hindus known as Dharmagita. Nowadays, a lot of young generations do not know and are even more indifferent to the Dharmagita. Using books as a source of Dharmagita information is less attractive since there are no audio examples or recordings of correct songs that can be listened to. The Android-based e-Dharmagita application was built to overcome these problems to facilitate the younger generation in getting more interesting information about Dharmagita.Methods: e-Dharmagita was constructed with the support of mobile and multimedia technology. In addition, the information presented was related to the Yadnya Ceremony by implementing a complex Tree Algorithm.Results: This research produced an e-Dharmagita Application, of which user acceptance testing using the PSSUQ Method resulted in a score incudes in the excellent category. Therefore, the application could be accepted well in the implementation the Information Technology in Balinese Culture and Hinduism, especially the innovation of a more modern and attractive Dharmagita learning model.Novelty: The Dharmagita learning model using a mobile application is a new model that has not existed before.
Co-Authors Adi Pradana, Putu Bramantia Anak Agung Kompiang Oka Sudana Anak Agung Ngurah Hary Susila Arta, I Wayan Ajitha Barendra Arta, Ketut Nila Astini, Ni Kadek Dheananda Ayu Wirdiani Bhagaskara, I Made Bagita Damayanthi, Ni Luh Putu Ari Yunia Dana, I Putu Ngurah Krisna Dananjaya, Md Wira Putra Darmayuda, I Putu Gede Angga Mas Dipa Pradnya, Putu Dwi Chayani, Ni Kadek Chita Dwi Putra Githa Dwi Rusjayanthi, Dwi Fransisco Danang Wijaya friska trisnadewi G M Arya Sasmita gus rai surya laksana Gusti Made Arya Sasmita I Gede Billy Aditya Agansa I Gede Galang Surya Prabawa I Kadek Suabdinegara I Made Agus Dwi Suarjaya I Made Gede Sunia Pradnyantara I Made Sukarsa I Made Sunia Raharja I Made Sunia Raharja, I Made Sunia I Nyoman Piarsa I Putu Agastya Harta Pratama I Putu Agung Bayupati I Putu Agus Eka Pratama Imelda Alvionita Tarigan Ketut Nila Arta Kusuma, Dewa Ayu Ariesta Putri Lady Hasiani Siahaan Liukae, Herry Daniel Prasetia Luh Dyah Pradnya Wulandari Mahar, Boy Jehezkiel Kamanang Mahayana, I Putu Gede Panji Badra Muliyana Krisna, Agus Ade Ngurah Arya Bhaskara Wardhana Ni Made Ika Marini Mandenni Oka Sudana, A.A Kompiang Pradnyadevi, Made Ariputri Ayu pratiwi, Dewa Ayu gandhi Putu Ayu Rhamani Suryadhi Putu Wira Buana Riani, Dinda Ridi Ferdiana Saragih, Evan Himawan Sasmita, Gusti Made Arya Satria Pratama Sayuri Egaravanda Setiawan, Ariyono Sudana, A.A Kompiang Oka suhendra, agus ari Sukma, Kd. Vigyan Melati Tesalonika, Marria Wati, Ni Luh Made Adi Dharma Wiratama, I Putu Bayu Adhya