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All Journal Jupiter JSM (Jurnal SIFO Mikroskil) Scientific Journal of Informatics Jurnal Teknologi dan Sistem Komputer Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal Pilar Nusa Mandiri JURNAL REKAYASA TEKNOLOGI INFORMASI Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) Jurnal Pelayanan dan Pengabdian Masyarakat (Pamas) TEPIAN JNANALOKA Buletin Poltanesa Jurnal UNITEK Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII
Awang Harsa Kridalaksana
Universitas Mulawarman
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Transportation Other

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Air Pollution Assessment of Samarinda Using the C4.5 Algorithm Prafanto, Anton; Astuti, Indah Fitri; Salamah, Ummi; Agus, Fahrul; Kridalaksana, Awang Harsa; Kamila, Vina Zahrotun
Poltanesa Vol 24 No 2 (2023): December 2023
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v24i2.2946

Abstract

The degradation of air quality in numerous Indonesian cities is attributed to the swift proliferation of motorised vehicles, rapid population growth, and inadequate green spaces. Samarinda, the capital of East Kalimantan province, is plagued by high levels of pollution resulting from heavy vehicle exhaust emissions. The provision of accurate air quality information can mitigate respiratory issues. However, the public does not have access to air quality information due to the high cost of air quality measuring devices. Therefore, an Internet of Things (IoT)-based air pollution monitoring system using ESP32 is needed to provide interactive and real-time information. This study tested the C4.5 algorithm to classify air quality data based on six measurement parameters: PM10, PM2.5, CO, O3, and NO2. PM10 and PM2.5 particles are the primary pollutants that significantly impact human health. The World Health Organization (WHO) has set an annual quality standard value of 20μg/m3 for PM10 and 10μg/m3 for PM2.5. Carbon Monoxide (CO) can reduce the blood's ability to carry oxygen, which can affect the function of vital organs such as the heart and brain. Ozone (O3) on the Earth's surface is a harmful pollutant that can damage the lungs and other respiratory systems. Nitrogen dioxide (NO2) can cause lung inflammation and lower immunity to infections, such as influenza and pneumonia. This study uses the C4.5 algorithm to classify air quality data based on these parameters, which are important for determining air quality. The results show that air quality is divided into two types: good and moderate, with different proportions each day. The C4.5 algorithm achieved a success rate of 99.5074% and a failure rate of 0.4926% when processing air quality data. It was effective in classifying air quality and processing data. An Internet of Things (IoT)-based air pollution monitoring system using ESP32 is needed to provide interactive and real-time information to the public.
Augmented Reality sebagai Media Pengenalan Rumah Adat Budaya Daerah Kota Samarinda Astuti, Indah Fitri; Choirunnisa, Rena Indah; Kridalaksana, Awang Harsa; Cahyadi, Dedi
JURNAL UNITEK Vol. 18 No. 2 (2025): Juli-Desember 2025
Publisher : Sekolah Tinggi Teknologi Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52072/unitek.v18i2.1847

Abstract

Rumah adat Daerah Kota Samarinda adalah pusat kebudayaan untuk melestarikan seni dan budaya lokal. Kompleks pusat kebudayaan ini menampilkan Rumah Bubungan Tinggi (Banjar), Rumah Lamin Kutai (Kutai) dan Rumah Lamin Dayak/Rumah Panjang (Dayak). Meskipun keberadaannya masih tergolong baru namun tempat ini dapat memberi manfaat edukasi tentang budaya lokal. Pemanfaatan teknologi Augmented Reality menjadi solusi inovatif untuk memperkenalkan rumah adat tersebut terutama ke masyarakat luar daerah. Penelitian ini bertujuan membangun aplikasi AR sebagai media edukasi pengenalan rumah adat secara virtual dengan menerapkan metode Marker Based Tracking yang dapat diakses pada sistem operasi Android. Berdasarkan pengujian Beta Testing didapatkan hasil bahwa seluruh fitur aplikasi AR dapat berfungsi dengan optimal dan lancar. Hasil pengujian User Acceptance Testing (UAT) dengan melakukan penyebaran kuesioner kepada 44 sampel dari masyarakat umum pengguna smartphone Android, aplikasi AR mendapat nilai 76% dari segi komunikasi visual dan nilai 76% dari segi fungsionalitas yang menunjukkan bahwa aplikasi AR dapat digunakan dan mendapat antusiasme yang baik oleh pengguna.
Implementation of the Game Development Life Cycle Method in Developing a Drag and Drop Educational Game for Traditional Indonesian Houses Aulia Khoirunnita; Awang Harsa Kridalaksana; Adlina Safa Sephia Putri
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3501

Abstract

Indonesia is renowned for being a country rich in culture, one aspect of which is reflected in the diverse traditional houses found across its regions. Unfortunately, younger generations are becoming less familiar with this heritage due to monotonous and theoretical approaches in formal education. To address this issue, this study aims to develop an Android-based educational game that utilizes a drag-and-drop concept to introduce Indonesia’s traditional houses interactively. The game development process follows the Game Development Life Cycle (GDLC), consisting of six main stages: initiation, pre-production, production, testing (black box), beta testing, and release. Data were collected through a literature review of traditional houses, the GDLC method, and educational game development techniques. The resulting game, titled "Kiddo Match It! Traditional Houses," features an interactive map of Indonesia, an encyclopedia of traditional houses, a series of levels based on geographic regions, and a gameplay mechanic that involves matching images of traditional houses with their names. All stages of GDLC were implemented with a focus on visually engaging design and user-friendly navigation, specifically for users aged 8–15 years. Black box testing showed that most features functioned as intended, while beta testing indicated a user satisfaction rate of 91%, categorized as “Very Good.” This study produced a digital learning medium that introduces 34 traditional houses from all Indonesia provinces through a visual and interactive approach, making it a relevant educational tool for cultural preservation in today’s digital era.
IMPLEMENTASI LONG SHORT-TERM MEMORY UNTUK PREDIKSI HARGA LPG 3 KG Addy Suyatno Hadisuwito; Cici Asmawati; Awang Harsa Kridalaksana
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 18 No 2 (2026): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/jupiter.v18i2.11936

Abstract

Fluctuations in the price of 3 kg LPG in East Kalimantan affect economic stability, especially for households and small businesses. This uncertainty complicates planning and decision-making, thus requiring an accurate predictive system. This study aims to apply the Long Short-Term Memory (LSTM) method to predict LPG prices using time-series data. The dataset consists of 1,853 daily records from 2018 to 2025. Preprocessing includes handling missing values with interpolation and forward filling, normalization with Min-Max Scaling, and data transformation with a sliding-window approach. The LSTM model consists of two hidden layers and is optimized using the Adam optimizer. Model evaluation is conducted using Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The results show an MAE of 994.14 and an RMSE of 2211.17, indicating that the model's predictions are close to the actual values. Therefore, LSTM is an effective approach for LPG price prediction, supporting better decision-making
Nodemcu Based Prototype Tool for Noise Detection Florentinus Nino; Azahari; Awang Harsa Kridalaksana
TEPIAN Vol. 2 No. 2 (2021): June 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v2i2.358

Abstract

Application of Prototype A tool for detecting noise based on NodeMCU is a prototype that can be used to detect sound noise and provide a warning if the sound exceeds the reasonable threshold that humans hear. The function of this system is to detect sound noise using the Analog Sound sensor V2. Then the data from the Analog Sound sensor V2 will be displayed in the form of a Led and if it has passed the threshold that humans hear, it will trigger turning on the buzzer as a warning and send automatically the decibel value, status and also if we want to check how much noise there is, we can type / telegram the sensor . Based on the data analysis carried out, Basically programming for building Prototype Tool for detecting noise based on NodeMCU using the C programming language with the help of Arduino IDE software and monitoring it using LED and Telegram. This research was made in order to facilitate controlling the noise in the environment.
Co-Authors Addy Suyatno Addy Suyatno Hadisuwito Adlina Safa Sephia Putri Adytama Annugerah Ahmad Rofiq Hakim Ahmad, Faqih Nur Akmal Erfani Armi Anindita Septiarini, Anindita Anton Prafanto Ariel Hidayat Arman Gani Atik Tia Nalarwati, Atik Tia Aulia Khoirunnita Azahari Baskoro, Roby Gunawan Catur Kumala Dewi Chandra Nugraha Choirunnisa, Rena Indah Cici Asmawati Darwin Darwin Dedi Cahyadi Dedi Cahyadi Dedy Cahyadi Dedy Cahyadi, Dedy Desryanti Djo Radja Doni Saputra Dyna Marisa Khairina Fahrul Agus Fahrul Agus Faqih Nur Ahmad Febri Utama Florentinus Nino Fresly Nandar Pabokory Friandy Dwi Noviandha Gandhi Dwi Laksono Genolang, Christian Agustin Gubtha Mahendra Putra Hamdani . Hamdani Hamdani Hamri Effendi Hanis Setiawati Permatasari Haryadi, Rina Masithoh Hatta, Heliza Rahmania Haviluddin Haviluddin Heliza Rahmania Hatta, Heliza Rahmania Hendi, Hendi Hendrawati Hendrawati Hermawan, Erinda Novtarika Ilaidha Ikayanti Ikayanti Indah Fitri Astuti Indah Fitri Astuti Indah Fitri Astuti, Indah Fitri Kamila, Vina Zahrotun Laksono Trisnantoro Mifza Ferdian Putra Muhammad Bambang Firdaus Muhammad Nur Fahmi Muhammad Olly Muhammad Salahudin, Muhammad Mu’nisah Assisi Nasution, Ali Napiah Norma Yanti Nugroho, Basuki Rahmat Prafanto, Anton Purnawansyah Purnawansyah Puspitasari, Novianti Ramadiani - Ratri Widianingsih Reza Andrea Reza Wardhana Ricyono, Agus - Rionaldo Putra Rosdania Rosdania Rosmasari Rosmasari Rosmasari Salamah, Ummi Sembiring, Rinawati Septya Maharani, Septya Sihombing, Yobel Fernanda Sri Wulandari Taruk, Medi Tri Sulasni Ulan Ari Anti Wahyu Indianto Wati, Masna Yulianto Yulianto Yulianto Yulianto Yundari, Yundari Zainal Arifin Zainal Arifin