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All Journal Jurnal Teknik Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Lembaga Penelitian Universitas Mataram Jurnal Teknologi Informasi dan Ilmu Komputer JOIV : International Journal on Informatics Visualization Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal of Computer Science and Informatics Engineering (J-Cosine) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Teknik Informatika (JUTIF) TIERS Information Technology Journal Jurnal Begawe Teknologi Informasi AMMA : Jurnal Pengabdian Masyarakat
I B K Widiartha
Program Studi Teknik Informatika Universitas Mataram
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Nursing Physics

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Aplikasi Pertimbangan Wisata di Pulau Lombok dengan Metode Fuzzy Mamdani & Algoritma Genetika Harir, Zainul; Widiartha, Ida Bagus Ketut; Afwani, Royana
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 6: Desember 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020721197

Abstract

Pulau Lombok memiliki pariwisata berupa keindahan alam dan kebudayaan yang menarik, sehingga juga mendapat tiga penghargaan pada World Halal Tourism Awards 2016 dengan faktor pertumbuhan kunjungan wisatawan sebesar 13% pada tahun tersebut. Adanya sebuah aplikasi yang dapat membantu wisatawan dalam menentukan keputusan perjalanan wisata mereka adalah wajib. Aplikasi ini dikembangkan dengan logika Fuzzy Mamdani dan Algoritma Genetika dengan tujuan memberikan rekomendasi pariwisata.Logika Fuzzy Mamdani memberikan pertimbangan wisata berdasarkan 5 parameter (anggaran, rencana perjalanan, akomodasi, makanan dan minuman, serta biaya transportasi) yang kemudian menjadi 5 fungsi keanggotaan untuk membangun kombinasi aturan pada fuzzy dan menghasilkan keluaran berupa pertimbangan wisata, yaitu: Tidak Memungkinkan, Cukup Memungkinkan, dan Memungkinkan. Kombinasi lima fungsi keanggotaan tersebut, menghasilkan 10.080 aturan, yang digunakan untuk mengetahui seseorang memungkinkan, atau tidak untuk berwisata ke pulau Lombok dengan constrain parameter yang dimiliki, yang dibangkitkan dengan menggunakan fungsi Defuzzifikasi Mean of Max (MOM). Algortima Genetika digunakan dalam memberikan alokasi penggunaan budget yang optimal dalam berwisata di Pulau Lombok.Hasil pengujian dengan perhitungan manual dan model defuzzifikasi yang berbeda memiliki akurasi 100%.  Untuk implementasi Algoritma Genetika, aplikasi memperoleh alokasi anggaran optimal pada probabilitas crossover (pc) dan probabilitas mutasi (pm) dengan (pc) 0,7 dan (pm) 0,2. AbstractTourism in Lombok has an interesting culture, it makes Lombok got three awards at the 2016 World Halal Tourism Awards and became a growth factor for tourist visits by 13% that year. An application that can help tourists in determining travel decision is mandatory.The application developed with Mamdani Fuzzy Logic and Genetic Algorithm to provide tourism recommendations. The Fuzzy Mamdani Logic Method provides tourism considerations based on 5 parameters (budget, travel plans, accommodation, food and drinks, and transportation costs) which then become 5 membership functions to build a combination of rules on fuzzy and produce output in the form of tourism's considerations: Not Enable, Enough Enable, and Enable. The combination of the 5 membership functions constructed 10.080 fuzzy rules, that's used to know wheater tourists enables them to go to Lombok with the limitation that they have. The defuzzification used is the Mean of Max (MOM). Genetic Algorithm (GA) is used in providing optimal budget allocation in traveling on Lombok IslandThe results of testing with manual calculations and different defuzzification models have 100% accurate, the application of GA obtained optimal budget allocation on crossover probability (pc) and mutation probability (pm) combination with (pc) 0.7 and (pm) 0.2.
Analyzing Blockchain Adoption for Copyright Certification in Lombok's Woven Industry: An Extended TAM Perspective Bimantari, Joselina Rizki; Wijayanto, Heri; Widiartha, Ida Bagus Ketut; Afwani, Royana
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 2 (2025): JUTIF Volume 6, Number 2, April 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.2.4366

Abstract

This research explores the Extended Technology Acceptance Model (TAM) and Partial Least Squares Structural Equation Modelling (PLS-SEM) to investigate the acceptability of blockchain-based digital copyright certification among traditional woven fabric SMEs (Small and Medium Enterprises) in Lombok. This research develops a blockchain-based certification system using NFTs, IPFS, and ECDSA to secure ownership, metadata, and authentication of traditional woven fabrics in Lombok. The problem addressed is the lack of understanding and acceptance of blockchain technology for copyright certification among SMEs, which can impede the protection of their innovations. The aim of this study is to analyze the variables that influence this technology's acceptance and to provide strategies for increasing its adoption. This study explores blockchain-based copyright certification adoption among Lombok's woven fabric SMEs using an Extended TAM with novel variables: Perceived Trust, Privacy, and Government Regulations. Findings from PLS-SEM reveal these, alongside traditional TAM factors, significantly impact adoption. By addressing digital literacy gaps and regulatory challenges, this research provides insights into promoting blockchain adoption through targeted training and outreach, contributing to innovation protection for traditional artisans. A quantitative method was implemented with a validated and reliable surveys distributed both online and offline to SMEs in three main woven villages in Lombok. Data analysis using PLS-SEM revealed significant impacts of perceived usefulness (PU), perceived ease of use (PEOU), Perceived Trust (PT), Government Regulations (GR), Perceived Protection (PP), attitude towards using (ATU), and behavioral intention to use (BITU) on the acceptance of blockchain technology. This study concludes that TAM factors are crucial in evaluating these SMEs' acceptance of blockchain-based copyright certification. Recommendations are provided to enhance SMEs understanding and skills in applying this technology through targeted training and outreach.
Sistem Peramalan Kelahiran, Kematian dan Kemiskinan berbasis Website dengan Metode Arima Munirah, Zahrahtun; Widiartha, Ida Bagus Ketut; Murpratiwi, Santi Ika
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 1 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i1.28423

Abstract

Population data management in Wawonduru Village is currently not running optimally due to a lack of supporting technology, where data management is still done manually by visiting house to house. With the increasing population every year, a system is needed that can manage data efficiently to monitor population fluctuations. This research aims to develop a web-based birth, death and poverty forecasting system to predict population trends and plan appropriate policies in the future in Wawonduru Village. The system was developed using the Personal Extreme Programming (PXP) model and forecasting using the Autoregressive Integrated Moving Average (ARIMA) method. ARIMA was chosen because it is able to accurately predict data with changing patterns and seasonality based on historical patterns. The results show that the developed system not only runs well without errors but also functions as an integrated birth, death and poverty forecasting system. Forecasting using ARIMA resulted in MAPE values of 38.16% for births, 40.67% for deaths, and 44.4% for poverty. It is within the range between 20-50%, so it is feasible to use. Blackbox testing also states that the system has run well and meets user needs both in terms of convenience. So that this system can be used by the Wawonduru Village command to do forecasting to assist in forecasting.
Improving Campus Security with Web-Based Motorcycle Parking Information System using Personal Extreme Programming Method Wulandari, Sagita; Widiartha, Ida Bagus Ketut; Afwani, Royana
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5508

Abstract

In this modern era, motorcycles are a primary means of transportation used by many people in Indonesian society, including students who use them to access campus. However, the increase in motorcycles also raises safety issues and the availability of parking spaces on campus. The parking system needs to be improved at the Faculty of Engineering, University of Mataram, because it does not use an automatic checking system, resulting in concerns about vehicle safety. This research aims to build a Web-based Motorcycle Parking Information System to store real-time rider data and detect faces and police numbers through CCTV. The Personal Extreme Programming (PXP) method is used as a development method because of its high level of flexibility and its ability to adapt to changing needs. This system was developed using the Bootstrap framework for the front end and Laravel for the back end, with MySQL Workbench as a server to manage the database. System testing uses the Black Box Testing method to ensure each unit or module functions according to predetermined needs. The test results show that all features function validly and by the expected specifications. This research provides an effective solution for improving parking security and parking space management on campus, thus providing a sense of comfort and security for students and all parking users at the Faculty of Engineering, University of Mataram.
Perancangan Front-End Website Inventori Barang dengan Bootstrap di Badan Pengelolaan Pendapatan Daerah Provinsi Nusa Tenggara Barat: Designing the Front-End Website for Inventory Management of Goods with Bootstrap at the BAPPENDA of West Nusa Tenggara Province Ayoedya, Jasmine Nabila; Widiartha, Ida Bagus Ketut; Puja, Sena
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 5 No. 1 (2024): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v5i1.1189

Abstract

Perkembangan teknologi yang semakin canggih kerap dimanfaatkan untuk penyebaran informasi. Informasi dapat diperoleh dari sebuah sistem informasi, seperti website. Dewasa ini, sebuah instansi lazimnya memiliki sistem informasinya sendiri, sehingga Badan Pengelolaan Pendapatan Daerah (BAPPENDA) Provinsi Nusa Tenggara Barat (NTB) membutuhkan sebuah sistem informasi yang berbasis website. Website Inventori barang tersebut dibangun menggunakan framework bootstrap dengan tujuan mampu meningkatkan efisiensi dan efektivitas pengelolaan inventaris barang. Proses pengujian dilakukan menggunakan kuesioner dengan 8 responden. Berdasarkan hasil pengujian, diperoleh hasil bahwa responden setuju atau menerima website inventori barang BAPPENDA Provinsi NTB yang telah dibangun.
IMPLEMENTASI IoT UNTUK SISTEM IRIGASI DI PONDOK PESANTREN NURUL HARAMAIN, NARMADA, LOMBOK BARAT: Implementation of IoT for Irrigation System at Nurul Haramain Islamic Boarding School, Narmada, West Lombok Widiartha, Ida Bagus Ketut; Anjarwani, Sri Endang; Albar, Mohammad Ali; Ratnasari, Dwi; Alamsyah, Noor; Kusuma, Pande Permadi; Ayoedya, Jasmine Nabila
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 5 No. 2 (2024): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v5i2.1233

Abstract

Pondok Pesantren Nurul Haramain di Lombok Barat menghadapi tantangan dalam pengelolaan air, terutama selama musim kemarau. Meskipun memiliki sumber daya air yang melimpah, metode irigasi manual yang digunakan terbukti kurang efisien. Untuk mengatasi hal ini, sistem irigasi berbasis Internet of Things (IoT) diperkenalkan, disamping untuk mendidik para santri untuk meningkatkan kesadaran akan sumber daya air yang terbatas dan meningkatkan pengetahuan para santri dibidang teknologi IoT. Dengan mengintegrasikan sensor dan perangkat yang terhubung melalui internet, sistem ini mampu meningkatkan efisiensi penggunaan air hingga 30% dan meningkatkan produktivitas pertanian sebesar 20%. Sistem IoT ini memungkinkan pengelolaan air yang lebih tepat waktu dan hemat, serta mendorong kesadaran lingkungan di kalangan santri dan masyarakat sekitar. Implementasi ini juga mengurangi biaya operasional dan kebutuhan tenaga kerja manual, menjadikannya solusi yang berkelanjutan bagi pondok pesantren. Manfaat tambahan dari sistem ini adalah edukasi santri mengenai teknologi dan praktik pengelolaan air yang efisien, diharapkan dapat diterapkan di masa mendatang untuk pelestarian sumber daya air.
Analysis of Resilience of Education System in Higher Education Due to Covid-19 Pandemic in Indonesia: A Systematic Literature Review Widiartha, Ida Bagus Ketut; Hwang, Jun-seok; Yoon, Hyoen-yeong; Pratiwi, Oktariani Nurul
JOIV : International Journal on Informatics Visualization Vol 7, No 2 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.2.1814

Abstract

This study discusses learning strategies resilience that can be used to improve learning outcomes during the current pandemic circumstances, which have limitations in face-to-face learning. Online learning has many limitations compared to offline one. However, it must keep running because one of the strategies against the SAR-Cov2 virus is to inhibit its spread by limiting direct contact with other people. The literature review is carried out with a protocol involving text mining tools to find the most widely used keywords and their relationships, which is then carried out by a snowball literature review to deepen these keywords. There are several findings from this study, namely (1) Three critical components that play a significant role in improving learning outcomes in the distance learning method, namely the role of students, lectures, and technology. (2) A framework must ensure that the other three components perform their functions properly and provide an effective learning environment. (3) Reward and punishment play a vital role in ensuring the framework is implemented as it should be. Integrating an effective learning environment with remuneration programs and teaching grants will encourage improvements in the learning process and increase the number of positive contents on the Internet. This learning environment can also be a model that supports independent learning activities - an independent campus, the Ministry of Education and Culture of the Republic of Indonesia's flagship program, and digital commercialization in the educational sphere.
Efficient Rice Leaf Disease Classification Using Enhanced CAE-CNN Architecture Suhada, Destia; Suta Wijaya, I Gede Pasek; Widiartha, Ida Bagus Ketut; Jo, Minho
TIERS Information Technology Journal Vol. 6 No. 2 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i2.7159

Abstract

This study introduces an enhanced Convolutional Autoencoder–Convolutional Neural Network (CAE–CNN) model designed for efficient and accurate classification of rice leaf diseases. This study aims to develop an architecture that achieves high accuracy while maintaining computational efficiency, serving as an integrative and applicative technical innovation for rice disease detection. The proposed architecture integrates a Squeeze and Excitation Block (SE-Block), Global Max Pooling (GMP), and Separable Convolution to improve feature extraction while reducing the number of parameters and inference time. A total of 7,430 labeled images from five rice disease classes were used for model training and evaluation. The model was optimized using Optuna-based hyperparameter tuning and validated through an ablation and comparative analysis to assess the impact of each component. Experimental results show that the proposed model achieves 99.39% accuracy with only 85,859 parameters, a compact size of 0.28 MB, and inference time at 0.06657 ms/image with 15,213 FPS. These findings demonstrate that the proposed CAE–CNN effectively combines high accuracy and low computational cost, making it highly suitable for real-time and edge-based rice disease classification systems.
Perencanaan Mobilisasi Sampah Desa Batu Putik Ida Ayu Oka Suwati Sideman; Ida Bagus Ketut Widiartha
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 3 : April (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

Abstract

Batu Putik Village has carried out potential disaster mapping, and has determined the potential for disaster based on community perception, namely flood disasters that occur during the rainy season with the trigger being incomplete waste processing. There is no certainty about the waste residue that will be sent to the Ijo Balit Final Processing Site (TPA) owned by the East Lombok district government, creating obstacles for planning modes and mobilization. For this reason, it is deemed necessary to have a community assistance activity based on Participatory Action Research (PAR) which is able to design a pattern for transporting waste residues to the landfill with community involvement to maintain the continuity of the program in the future even if assistance is not provided. This activity shows that the residual waste after sorting is 1,030 tons/day so the optimal mode for transporting it is a dump truck with a capacity of 3m3 or a pick-up with a capacity of 2m3. The travel time required is around 1 hour for a travel distance of 42.29 km. It is highly recommended in further research to calculate the operational costs of Integrated Temporary Processing Sites (TPST) in villages, where waste sorting is carried out as a trigger for program sustainability, especially for TPST independence.
Integrated Notification System for Smart Parking Security Using Bot Telegram Mohammad Liyananta Septipalan; Ida Bagus Ketut Widiartha; Ariyan Zubaidi; Muhammad Taufik
Jurnal Penelitian Pendidikan IPA Vol 10 No 5 (2024): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i5.7447

Abstract

Notification system for smart parking system is very important for parking security. The purpose of this research is to create a system used in parking security in the technical faculty of mataram university. The method used in this research is the flow of making a notification system using a telegram bot, namely determining the notification using a telegram bot and then creating a telegram bot that will send notifications to security guards, after the bot has been created, then coding the notification system so that the notification can run according to existing rules. The results showed that the notification system made runs according to predetermined rules as seen from the success of sending notifications to the security guard group. The conclusion is that the use of this notification system is a solution to parking security problems. This notification system can provide accurate information to security officers regarding information on vehicle data mismatches and vehicle license plates so that vehicles in the parking area can be monitored.
Co-Authors Afwani, Royana Agitha, Nadiyasari Al Qadri, Ramadhani Alamsyah, Noor Albar, Moh. Ali Albar, Mohammad Ali Anjarwani, Sri Endang Ario Yudo Husodo Ario Yudo Husodo, Ario Yudo Ariyan Zubaidi Arvini Anindhita Askit, Baiq Ratna Ayoedya, Jasmine Nabila Bagas Adinata Bimantari, Joselina Rizki Budi Irmawati Deo Marta Dipayana Dwi Ratnasari Erdian, Naufal Evandry Syahputra Fitri Bimantoro Gibran Satria Nugraha Harir, Zainul Heri Wijayanto Husna, Nabila Ummul Hwang, Jun-seok I Gede Pasek Suta Wijaya I Ketut Budiarthi I Wayan Agus Arimbawa, I Wayan Agus Ida Ayu Oka Suwati Sideman Jayusman, Dirga Jo, Minho Kusuma, Pande Permadi Moh Ali Albar Mohammad Liyananta Septipalan Muhammad Taufik Munirah, Zahrahtun Murpratiwi, Santi Ika Mustianti Mustianti Nabila Nur Syfani Ni Made Puspitayanti Oktariani Nurul Pratiwi Puja, Sena Rassy, Regania Pasca Rosika, Herliana Sari, Gita Mailand Sri Endang Anjarwani Sri Endang Arjarwani Suhada, Destia Thuy, Tran Thi Thanh Topan Khrisnanda Wulandari, Sagita Yoon, Hyoen-yeong