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All Journal Jurnal SPEKTRUM PROSIDING CSGTEIS 2013 JOIV : International Journal on Informatics Visualization JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Ilmiah Ilmu Sosial
Fajar Purnama
Jurusan Teknik Elektro, Fakultas Teknik, Universitas Udayana
Humanities Computer Science & IT Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice

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Monitoring Perubahan Penggunaan Lahan Menggunakan Citra SPOT 6 dan SPOT 7 di Kota Semarang Dalilah, Anisa; Malinda, Alviana Ratna; Oktapiyansyah, Recky; Monicha, Windha; Purnama, Fajar
Jurnal Ilmiah Ilmu Sosial Vol 7, No 1 (2021): Jurnal Ilmiah Ilmu Sosial
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jiis.v7i1.23016

Abstract

Perubahan penggunaan lahan terjadi di beberapa kota besar salah satunya adalah kota Semarang. Perubahan penggunaan lahan yang terjadi tentunya dapat memberikan perubahan nilai ekonomis lahan, namun apabila tidak dilakukan pengelolaan dengan baik, pada waktu yang akan datang dapat mengakibatkan degradasi nilai ekonomis lahan. Penelitian ini bertujuan untuk mengetahui perubahan penggunaan lahan di kota Semarang serta untuk mengetahui faktor-faktor yang mempengaruhi perubahan penggunaan lahan. Metode yang digunakan yaitu analisis citra multitemporal, menggunakan citra Spot 6 dan Spot 7 Pada citra 2013 dan citra 2019 untuk mengetahui perubahan penggunaan lahan. Hasil yang diproleh yaitu Peta perubahan penggunaan lahan yang telah diuji akurasi dengan cara Ground chek ke lapangan, akurasi data yang didapatkan kira kira 50% dari hasil survey ke lapangan sebagian besar yang telah dilakukan  terdapat perubahan penggunaan lahan di titik sampel yang telah ditentukan seperti hutan berubah menjadi lahan terbuka hijau dan lahan terbangun sedangkan area tambak berubah menjadi area persawahan. 
Implementasi Embedded Linux pada Jaringan Sensor Nirkabel Platform Imote2 Fajar Purnama; I Made Oka Widyantara; Nyoman Putra Sastra
PROSIDING CSGTEIS 2013 CSGTEIS 2013
Publisher : PROSIDING CSGTEIS 2013

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Abstract

Abstrak—Sebelumnya JSN menggunakan sistem operasi Intel Platform X, SOS, dan TinyOS. Kini Platform X dan SOS tidak dikembangkan lagi, sehingga banyak peneliti menggunakan TinyOS. Pada akhir pengguna TinyOS pada platform Imote2 menemukan banyak keterbatasan seperti penerapan pada routing yang complex. Oleh karena itu komunitas Embedded Linux pengembangkan embedded Linux untuk platform Imote2. Pada makalah ini dibahas secara rinci tahap untuk mengembed Linux pada target yaitu perangkat JSN radio sensorboard platform Imote2. Host merupakan Linux operating system. Pengembedan meliputi 3 komponen utama yaitu bootloader, Linux kernel, dan filesystem. Embed dilakukan dengan proses flashing pada JTAG interface menggunakan software OpenOCD. Setelah proses embed, konfigurasi pada target melalui koneksi serial. Konfigurasi meliputi pengaktifkan alamat IP, SSHD, dan radio secara otomatis. Terakhir dibandingkan performansi target yang menggunakan IEEE 802.11 WLAN dan IEEE 802.15.4 ZigBee sebagai media transmisi. Hasilnya penggunaan IEEE 802.11 WLAN lebih boros terhadap memory dan daya listrik.Kata Kunci—JSN, Imote2, Embedded Linux, ZigBee, WLAN, JTAG, OpenOCD.
Monitoring Perubahan Penggunaan Lahan Menggunakan Citra SPOT 6 dan SPOT 7 di Kota Semarang Anisa Dalilah; Alviana Ratna Malinda; Recky Oktapiyansyah; Windha Monicha; Fajar Purnama
Jurnal Ilmiah Ilmu Sosial Vol. 7 No. 1 (2021): Jurnal Ilmiah Ilmu Sosial
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jiis.v7i1.23016

Abstract

Perubahan penggunaan lahan terjadi di beberapa kota besar salah satunya adalah kota Semarang. Perubahan penggunaan lahan yang terjadi tentunya dapat memberikan perubahan nilai ekonomis lahan, namun apabila tidak dilakukan pengelolaan dengan baik, pada waktu yang akan datang dapat mengakibatkan degradasi nilai ekonomis lahan. Penelitian ini bertujuan untuk mengetahui perubahan penggunaan lahan di kota Semarang serta untuk mengetahui faktor-faktor yang mempengaruhi perubahan penggunaan lahan. Metode yang digunakan yaitu analisis citra multitemporal, menggunakan citra Spot 6 dan Spot 7 Pada citra 2013 dan citra 2019 untuk mengetahui perubahan penggunaan lahan. Hasil yang diproleh yaitu Peta perubahan penggunaan lahan yang telah diuji akurasi dengan cara Ground chek ke lapangan, akurasi data yang didapatkan kira kira 50% dari hasil survey ke lapangan sebagian besar yang telah dilakukan  terdapat perubahan penggunaan lahan di titik sampel yang telah ditentukan seperti hutan berubah menjadi lahan terbuka hijau dan lahan terbangun sedangkan area tambak berubah menjadi area persawahan. 
RANCANG BANGUN APLIKASI ARISAN ONLINE DENGAN SMART CONTRACT UNTUK MEMINIMALISIR RESIKO PENIPUAN Lintin, Yosep Tara; Aditya Widhiatama, Ngakan Putu; Purnama, Fajar; Shandyasa, I Wayan; Sukadarmika, Gede; Gede Manuaba, Ida Bagus; Oka Widyantara, I Made; Juliawan Pawana, I Wayan Adi
Jurnal SPEKTRUM Vol 10 No 4 (2023): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2023.v10.i04.p17

Abstract

Arisan is an activity that is usually carried out by housewives where each member will donate money and at each meeting there will be a lottery to hand over the money that has been collected to one of the lucky members. Usually, arisan is done regularly and offline. However, since the pandemic in 2020, many people have started doing arisan online. With the rise of arisan online activities, there are many cases of fraud with a large amount of loss and of course it cannot be ignored. Based on these problems, a platform is needed to conduct arisan online that can prevent fraud cases. This container will be made in the form of a decentralized application by utilizing blockchain technology in this case this article utilizes smart contracts on the Binance Smart Chain to ensure that after this application is published, no party will be able to make changes to the data or functions of this application to minimize frauds.
PENERAPAN SENSOR CJMCU101 UNTUK MENDUKUNG SISTEM SMART LECTURE ROOM Maisha Putra, I Gusti Agung Ngurah; Andika Pranata, I Kadek; Paramitha Sekar Putri A.P., Ni Made; Sukadarmika, Gede; Raka Agung, I Gusti Agung Putu; Purnama, Fajar; Indra ER, Ngurah
Jurnal SPEKTRUM Vol 10 No 4 (2023): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2023.v10.i04.p22

Abstract

This study presents the design of a Smart Lecture Room system that utilizes light intensity sensors, specifically CJMCU101. These sensors are installed in each classroom to monitor the ambient conditions. The implementation of the designed system was carried out in the classrooms of the Udayana University Electrical Engineering Study Program. To achieve this goal, the classroom utilized by the Electrical Engineering Study Program of Udayana University was divided into two classes (DH101 and DH102) and a sensor was installed in each class as an IoT device. The IoT devices are connected to a Raspberry Pi Access Point, where the data from the sensors is stored and monitored using the Thinger.io platform. The validation of the sensor testing is carried out by comparing the results obtained from the sensors with the results obtained from a thermohygrometer measurement. This research produces a prototype smart lecture system, applied to a classroom mockup, that employs IoT devices, sensor databases, and sensor monitoring. The data from each sensor's detection is stored in the LAMP database, which employs Linux, Apache, MySQL, and PHP. The Thinger.io platform monitors the values of each sensor. A variation in accuracy between the sensor and measuring instrument results in a difference in their values. The CJMCU101 light intensity sensor has an average accuracy of 93.48% compared to the measuring instrument on DH101. The average accuracy of the sensor value compared to the measuring instrument on DH102 is 95.96%.
UNJUK KERJA KOMUNIKASI NIRKABEL HALF-DUPLEX ANTARKENDARAAN MEMANFAATKAN NRF24L01 Amanda Saraswati, Ni Putu; Indra ER, Ngurah; Purnama, Fajar
Jurnal SPEKTRUM Vol 11 No 1 (2024): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SPEKTRUM.2024.v11.i01.p24

Abstract

This study investigates the efficacy of the affordable NRF24L01 wireless communication module in half-duplex mode for vehicle-to-vehicle (V2V) communication. The prototype integrated the NRF24L01 module with an ESP32 microcontroller and an OLED display. The study assesses the delay and packet success rate to uncover the module's attributes under half-duplex situations. This not only surpasses the mere collecting of data, but also emphasizes the practical limitations and strengths of the module. The project aims to achieve two main objectives: firstly, to gather empirical data that may be used to make well-informed decisions in the design of NRF24L01 applications, and secondly, to contribute to the broader examination of wireless communications protocols. It improves comprehension of the impact of half-duplex operation on the performance of the NRF24L01 module. By revealing the mechanics of half-duplex communication, it enhances the efficiency of NRF24L01 usage and facilitates the development of a better protocol.
RANCANG BANGUN SISTEM CHATBOT PEMESANANMENU MAKANAN DAN MINUMAN PADA RESTORAN BERBASIS TELEGRAM BOT DENGAN PENDEKATAN NATURAL LANGUAGE PROCESSING Nur Adl, Waliyin; Dwika Prihambodo, Prakoso; Care Khrisne, Duman; Arsa Suyadnya, I Made; Purnama, Fajar
Jurnal SPEKTRUM Vol 11 No 2 (2024): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

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

Abstract

In the era of technological advancement, especially in computer and artificial intelligence (AI), there is a significant impact on various fields, including the Food and Beverage business. The use of chatbots with AI technology enables human-computer interaction in natural language, facilitating efficient ordering, information, and customer services. Chatbots are based on Natural Language Processing (NLP) and are trained using Machine Learning techniques such as Artificial Neural Networks (ANN), with TensorFlow as the main tool. This provides ease, accuracy, and efficiency in customer service. From the conducted research, NLP- based reservation chatbots perform well and receive positive feedback from users in most aspects. Keywords: Chatbot, Artificial Intelligence (AI), Artificial Neural Network (ANN), NLP
Prototype of Implementation of Smart Contract for Blockchain-Based Document Storage Pangidoan, Annes Maria; Buana, Putu Wira; Purnama, Fajar
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.9493

Abstract

Data, including digital and physical documents, is a valuable asset often vulnerable to forgery, theft, and reliance on centralized servers, which are costly and prone to failure. This study develops a prototype of a decentralized document storage application by combining blockchain and the InterPlanetary File System (IPFS). The system is designed as a web-based decentralized application (DApp), integrating Ethereum smart contracts to immutably record document metadata and access history, while the actual files are stored in IPFS and identified using unique Content Identifiers (CIDs). User interactions are facilitated through MetaMask for authentication and transaction approval. The system is developed using the Waterfall methodology. Functional testing is conducted through unit tests using Ganache as a local Ethereum blockchain, and the smart contract is also deployed to the Sepolia Ethereum testnet. The results show that the system successfully stores documents via IPFS and records metadata and access activities transparently on the blockchain. Access and download tracking features enhance document accountability. This solution provides a secure, efficient, and transparent alternative to centralized document storage and contributes to the advancement of distributed digital archiving systems.
Implementation of Blockchain Smart Contract for Online Concert Ticket Transactions Based on NFTs Lingga Pratyaksa Nugraha, Anak Agung; Emmy Rosiana Dewi , Ni Wayan; Purnama, Fajar
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.9598

Abstract

The development of the entertainment industry, especially music concerts, has driven the transformation of ticket sales systems from conventional to digital methods. Although online concert ticket sales offer greater convenience and reach, they still face the risks of fraud, counterfeit tickets, and unfair distribution. This study, Blockchain Smart Contract Implementation for NFT-Based Online Music Concert Ticket Transactions, aims to develop a ticket sales system using blockchain technology by integrating smart contracts and Non-Fungible Tokens (NFTs). The main objectives are to design and implement smart contracts on the Ethereum network, implement ERC-721-based digital tickets, ensure transparency in transaction history, and verify ticket authenticity through unique identifiers. This study adopts the Agile method, with implementation on the Ethereum Sepolia Testnet and testing using the meta mask digital wallet. The results show that the developed system can automatically hold funds through an escrow mechanism until the ticket is downloaded, generate unique and tamper-proof NFT tickets, display transaction details transparently, and facilitate ticket verification effectively. In conclusion, the use of smart contracts and NFTs significantly improves the security, transparency, and trustworthiness of online music concert ticket transactions.
Combination of Feature Extractions for Classification of Coral Reef Fish Types Using Backpropagation Neural Network Latumakulita, Luther Alexander; Arya Astawa, I Nyoman Gede; Mairi, Vitrail Gloria; Purnama, Fajar; Wibawa, Aji Prasetya; Jabari, Nida; Islam, Noorul
JOIV : International Journal on Informatics Visualization Vol 6, No 3 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.3.1082

Abstract

Feature extraction is important to obtain information in digital images, where feature extraction results are used in the classification process. The success of a study to classify digital images is highly dependent on the selection of the feature extraction method used, from several studies providing a combination of feature extraction solutions to produce a more accurate classification.  Classifying the types of marine fish is done by identifying fish based on special characteristics, and it can be through a description of the shape, fish body pattern, color, or other characteristics. This study aimed to classify coral reef fish species based on the characteristics contained in fish images using Backpropagation Neural Network (BPNN) method. Data used in this research was collected directly from Bunaken National Marine Park (BNMP) in Indonesia. The first stage was to extract shape features using the Geometric Invariant Moment (GIM) method, texture features using Gray Level Co-occurrence Matrix (GLCM) method, and color feature extraction using Hue Saturation Value (HSV) method. The third value of feature extraction was used as input for the next stage, namely the classification process using the BPNN method. The test results using 5-fold cross-validation found that the lowest test accuracy was 85%, the highest was 100%, and the average was 96%. This means that the intelligent model derived from the combination of the three feature extraction methods implemented in the BPNN training algorithm is very good for classifying coral reef fish.
Co-Authors Aditya Widhiatama, Ngakan Putu Aji Prasetya Wibawa Alviana Ratna Malinda Amanda Saraswati, Ni Putu Andika Pranata, I Kadek Anisa Dalilah Dalilah, Anisa Duman Care Khrisne Dwika Prihambodo, Prakoso Emmy Rosiana Dewi , Ni Wayan Gede Manuaba, Ida Bagus Gede Sukadarmika I Gusti Agung Putu Raka Agung, I Gusti Agung Putu I Made Arsa Suyadnya I Made Oka Widyantara I Nyoman Gede Arya Astawa I Wayan Shandyasa Islam, Noorul Jabari, Nida Juliawan Pawana, I Wayan Adi Lingga Pratyaksa Nugraha, Anak Agung Lintin, Yosep Tara Luther Latumakulita Mairi, Vitrail Gloria Maisha Putra, I Gusti Agung Ngurah Malinda, Alviana Ratna Monicha, Windha Ngurah Indra ER Nur Adl, Waliyin Nyoman Putra Sastra Oktapiyansyah, Recky Pangidoan, Annes Maria Paramitha Sekar Putri A.P., Ni Made Putu Wira Buana Recky Oktapiyansyah Windha Monicha