Institut Teknologi Nasional: Jurnal Itenas Online
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Implementation of Insect Pest Control Innovation with Raindrop Sensor using Solar Energy Source in Shallots Farming
Get PDFSpodoptera exigua, commonly known as the beet armyworm, is a major pest affecting shallot (Allium ascalonicum L.) plants, leading to significant damage and economic losses for farmers. Traditional pest control methods, such as manual caterpillar removal and pesticide application, have proven ineffective and costly. In response, this study aims to develop an environmentally friendly and sustainable solution by designing a pest control system powered by solar energy, equipped with high-voltage wires, UV lamps, and a raindrop sensor for automatic operation. The system works by converting solar energy into electrical power, which then supplies the pest control unit. The UV lamps attract moths, while the high-voltage wire eliminates them. A raindrop sensor is used to ensure the system operates efficiently by shutting off during rainfall. The method involved discussions with local farmers, design and assembly of the device, followed by field implementation and monitoring in shallot farms. The results show that the device successfully trapped between 40 to 80 moths per day, significantly reducing pest populations and lowering production costs for farmers, as the use of chemical pesticides was minimized. Additionally, the quality of shallot crops improved, leading to higher market value. The solar-powered pest control system is an effective, eco-friendly alternative for managing pest infestations in shallot farming. It offers a cost-efficient solution, reducing the need for pesticides while improving crop quality and yield
Utilization of PS-InSAR for Analyzing Land Subsidence in the Bandung Basin, Indonesia using Sentinel-1A Data
Get PDFABSTRAK Cekungan Bandung, yang terletak di Provinsi Jawa Barat, Indonesia, rentan terhadap penurunan muka tanah. Penelitian ini menganalisis laju penurunan muka tanah di Cekungan Bandung selama tahun 2019 menggunakan metode PS-InSAR yang diterapkan pada citra satelit Sentinel-1A. Sebanyak delapan citra Sentinel1A, yang diperoleh antara Januari hingga Desember 2019, diproses menggunakan perangkat lunak SNAP dan STAMPS. Hasil analisis menunjukkan bahwa laju deformasi permukaan tanah di Cekungan Bandung berkisar dari -133 hingga 98 mm/tahun, dengan penurunan paling signifikan terjadi di Kota Bandung dan Kabupaten Bandung. Perbandingan hasil PS-InSAR dengan data survei GPS dari sembilan titik pemantauan menunjukkan korelasi yang kuat (R=0,75), mengonfirmasi keandalan metode PS-InSAR untuk pemantauan penurunan tanah. Temuan ini menegaskan pentingnya pemantauan berkelanjutan dan pengelolaan sumber daya secara bijak guna mengurangi dampak penurunan muka tanah di Cekungan Bandung. Kata kunci: penurunan muka tanah, PS-InSAR, Cekungan Bandung, Sentinel-1A ABSTRACT The Bandung Basin, located in West Java Province, Indonesia, is highly susceptible to land subsidence. This study analyzes land subsidence rates in the Bandung Basin during 2019 using the PS-InSAR method applied to Sentinel-1A satellite imagery. Eight Sentinel-1A images, acquired between January and December 2019, were processed using SNAP and STAMPS software. The results indicate that deformation rates in the Bandung Basin range from -133 to 98 mm/year, with the most significant subsidence occurring in Bandung City and Bandung Regency. A comparison between PS-InSAR measurements and GPS survey data from nine monitoring points revealed a strong correlation (R=0.75), confirming the reliability of the PS-InSAR method for land subsidence monitoring. These findings underscore the need for continuous monitoring and sustainable resource management to mitigate land subsidence in the Bandung Basin. Keywords: land subsidence, PS-InSAR, Bandung Basin, Sentinel-1
Penerapan Konsep Arsitektur Industrial Pada Perancangan Rumah Susun Di Bandung
Get PDFABSTRAK Seiring dengan pertumbuhan penduduk di Kota Bandung, kebutuhan hunian bagi masyarakat berpenghasilan rendah semakin meningkat, sehingga diperlukan solusi perancangan yang efisien dan berkelanjutan. Rumah susun menjadi salah satu alternatif strategis untuk memenuhi kebutuhan tersebut. Penelitian ini bertujuan menerapkan konsep arsitektur industrial pada perancangan Rumah Susun Soetta Bandung, dengan fokus pada efisiensi biaya, fungsionalitas, dan keberlanjutan desain. Arsitektur industrial dipilih karena karakteristiknya yang memanfaatkan material ekspos, struktur sederhana, serta fleksibilitas ruang, sehingga menciptakan desain yang ekonomis tanpa mengurangi kenyamanan dan nilai estetika. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan mendeskripsikan konsep desain arsitektur industrial secara kualitatif. Pengumpulan data dilakukan melalui studi literatur, survei lapangan, analisis tapak, dan studi banding dengan proyek serupa. Hasil perancangan menunjukkan bahwa penerapan arsitektur industrial mampu menghadirkan solusi hunian vertikal yang relevan dengan mengintegrasikan efisiensi struktur, ruang komunal yang mendukung interaksi sosial, serta fasilitas yang menunjang kebutuhan penghuni. Selain itu, pendekatan ini juga mempertimbangkan keberlanjutan lingkungan melalui penggunaan material ramah lingkungan dan optimalisasi ventilasi alami. Kata kunci: arsitektur industrial, jalan soekarno-hatta bandung, hunian vertikal, rumah susun ABSTRACT As the population in Bandung continues to grow, the demand for housing among low-income communities is increasing, necessitating efficient and sustainable design solutions. Apartment housing has become one of the strategic alternatives to meet this demand. This study aims to apply the industrial architecture concept in the design of Rumah Susun Soetta Bandung, focusing on cost efficiency, functionality, and design sustainability. Industrial architecture was chosen for its characteristics, which utilize exposed materials, simple structures, and spatial flexibility, creating an economical design without compromising comfort and aesthetic value. The research method used is qualitative descriptive, describing the concept of industrial architectural design qualitatively. Data collection was conducted through literature studies, field surveys, site analysis, and comparative studies with similar projects. The design results show that the implementation of industrial architecture can provide a relevant solution for vertical housing by integrating structural efficiency, communal spaces that support social interaction, and facilities that accommodate residents' needs. Moreover, this approach also considers environmental sustainability through the use of eco-friendly materials and the optimization of natural ventilation. Keywords: apartment housing, industrial architecture, soekarno-hatta street bandung, vertical housin
Metode PVD dan Preloading sebagai Upaya Perbaikan Tanah Lunak di Proyek Jalan Tol Jambi Indonesia
Get PDFABSTRAKPermasalahan tanah lunak sering menjadi fokus utama dalam pembangunan infrastruktur khususnya jalan tol. Tanah lunak akan mengalami proses konsolidasi yang merupakan proses terdisipasinya tekanan air pori berlebih akibat adanya beban dengan kurun waktu yang relatif lama. Hal tersebut dikarenakan tanah lunak memiliki ukuran dan nilai permeabilitas yang relatif kecil. Oleh karena itu upaya percepatan waktu konsolidasi perlu dilakukann untuk memangkas waktu konstruksi dan pada akhirnya dapat meminimalisisr biaya konstruksi. Penelitian ini bertujuan untuk mengetahui kombinasi preloading dan PVD sebagai upaya perbaikan tanah lunak di area pembangunan Jalan Tol Jambi Indonesia dengan menggunakan pendekatan Metode Elemen Hingga yang berbasis Metode Numerik. Perencanaan PVD yang digunakan yaitu pola segitiga dengan spasi dan kedalaman yang divariasikan. Berdasarkan hasil analisis, PVD dengan kedalaman 4 m dan spasi 1,5m dapat mereduksi hingga 90% waktu penurunan yang akan terjadi, sehingga kombinasi tersebut disarankan dalam pengaplikasiannya di lapangan.Kata kunci: tanah lunak, konsolidasi, metode elemen hingga, PVD, waktu penurunan ABSTRACTSoft soil problems are often the main focus of infrastructure development, especially toll roads. Soft soil will experience a consolidation process that dissipates excess pore water pressure due to loads over a relatively long period of time. This is because soft soil has a relatively small size and permeability value. Therefore, efforts to accelerate consolidation time need to be made to cut construction time and ultimately minimise construction costs. This research aims to determine the combination of preloading and PVD as an effort to improve soft soil in the Jambi Indonesia Toll Road construction area using a finite element method approach based on numerical methods. The PVD plan used is a triangular pattern with varied spacing and depth. Based on the analysis results, PVD with a depth of 4 m and a spacing of 1.5 m can reduce up to 90% of the settlement time, so this combination is recommended for application in the field.Keywords: soft soil, consolidation, finite element method, PVD, settlement time
Klasifikasi Status Tekanan Darah memanfaatkan Sinyal Photoplethysmograph berbasis Metode Random Forest
Get PDFABSTRAKBerbagai teknik pengukuran tekanan darah telah banyak dilakukan salah satunya melalui metode tidak langsung (noninvasive) dengan pemasangan sensor-sensor pada bagian tubuh tertentu, kemudian hasilnya dianalisis dengan algoritma kecerdasan buatan. Namun, masih terdapat banyak kendala pada pemilihan algoritma yang tepat untuk mencapai hasil akurasi klasifikasi yang tinggi. Pada penelitian ini dilakukan klasifikasi status tekanan darah dengan menggunakan sinyal photoplethysmograph (PPG) yang pengukurannya dilakukan secara noninvasive dari 219 pasien. Algoritma random forest digunakan untuk mengklasifikasikan status pasien ke dalam empat kelas yaitu normal, prehypertension, stage 1 prehypertension dan stage 2 prehypertension. Untuk perbandingan, dataset juga diklasifikasikan dengan algoritma KNN dan SVM. Hasil menunjukkan bahwa algoritma random forest memberikan kinerja terbaik dengan akurasi sebesar 98,63%, presisi 98,72% dan recall 98.60%.Kata kunci: tekanan darah, CVD, random forest, KNN, SVM ABSTRACTVarious ways for measuring blood pressure have been employed, including noninvasive techniques that include placing senosrs on specific body areas and analyzing the finding using artificial intelligence algorithms. Nevertheless, there are numerous challenges in choosing the appropriate algorithms that yiled high accuracy in classification. In this study, blood pressure status was classified using photoplethysmograph (PPG) signals, which were measured non-invasively from 219 patients. The random forest algorithm was used to classify patient status into four classes, namely normal, prehypertension, prehypertension stage 1 and prehypertension stage 2. For comparison, the dataset was also classified using the KNN and SVM algorithms. The results show that the random forest algorithm provides the best performance with an accuracy of 98.63%, precision of 98.72% and recall of 98.60%, respectively.Keywords: blood pressure, CVD, random forest, KNN, SV
Sistem Diagnosis Penyakit Kerbau menggunakan Algoritma Forward Chaining
Get PDFABSTRAKKetergantungan peternak pada pakar atau dokter hewan karena terbatasnya pengetahuan dalam mengindentifikasi penyakit kerbau merupakan opsi yang sulit dan mahal. Dalam mengatasi hal tersebut, artikel ini menyajikan pengembangan sistem pakar diagnosis penyakit kerbau. Sistem ini diimplementasikan dalam bentuk web serta dirancang dengan mengumpulkan data tentang 17 jenis penyakit kerbau dan 49 gejala yang berkaitan. Proses diagnosis menggunakan kombinasi algoritma Forward Chaining dan Certainty Factor, yang memungkinkan sistem untuk mencocokkan gejala yang diamati dengan database penyakit kerbau menghasilkan diagnosis yang akurat. Hasil Pengujian sistem menunjukkan tingkat akurasi mencapai 100% dalam 15 kali pengujian berturut-turut. Hasil pengujian juga divalidasi oleh pakar spesialis kerbau. Kesimpulannya, sistem ini layak digunakan oleh peternak kerbau untuk mendiagnosis penyakit kerbau secara dini.Kata kunci: sistem pakar, penyakit pada kerbau, gejala, forward chaining, certainty factor ABSTRACTFarmers' reliance on experts or veterinarians due to limited knowledge in identifying buffalo diseases is a difficult and expensive option. To address the problem, this paper presents the development of an expert system for buffalo disease diagnosis. The system is implemented on the web and designed by collecting data on 17 buffalo disease types and 49 associated symptoms. The diagnosis process uses a combination of Forward Chaining and Certainty Factor algorithms, which allows the system to match observed symptoms with the buffalo disease database resulting in an accurate diagnosis. System testing results showed an accuracy rate of 100% in 15 consecutive tests. Results were also validated by buffalo specialist experts. In conclusion, the system is feasible to be used by buffalo farmers to diagnose buffalo diseases early.Keywords: expert system, buffalo diseases, symptoms, forward chaining, certainty facto
Evaluation of The Impact of Photovoltaic Laboratories Development on Higher Education and Industry
Get PDFABSTRAK Transisi energi dari energi konvensional ke energi terbarukan semakin meningkat, sejalan dengan kesadaran akan keberlanjutan penggunaan energi terbarukan secara global. Laboratorium Fotovoltaik Universitas Katolik Indonesia Atma Jaya berkapasitas 5,2 kWp dikembangkan untuk mendukung pendidikan dan pelatihan industri. Tulisan ini menjelaskan dampak positif Laboratorium terhadap sudut pandang mahasiswa dan industri, yaitu tentang kinerja panel surya, evaluasi sistem on-grid dan off-grid, serta pemeliharaan system. Berdasarkan kepuasan mahasiswa disimpulkan sangat puas dan puas berkisar 93,17%, dengan rincian sangat puas 50,14%, dan puas 43,03%. Sedangkan Industri menunjukkan sangat puas dan puas sebesar 93,96%, dengan rincian sangat puas 44,99%, dan puas 48,97%. Kata kunci: Fotovoltaik, Energi Surya, Pendidikan Tinggi, Studi Eksploratori. ABSTRACT The energy transition from conventional energy to renewable energy is increasing, in line with the awareness of the sustainability of renewable energy use globally. The Atma Jaya Catholic University Photovoltaic Laboratory with a capacity of 5.2 kWp was developed to support industrial education and training. This paper describes the positive impact of the Laboratory from the perspective of students and industry, namely on the performance of solar panels, evaluation of on-grid and off-grid systems, and system maintenance. Based on student satisfaction, it is concluded that very satisfied and satisfied are around 93.17%, with details of very satisfied 50.14%, and satisfied 43.03%. While the industry shows very satisfied and satisfied of 93.96%, with details of very satisfied 44.99%, and satisfied 48.97%. Keywords: Photovoltaic, Solar Energy, Higher Education, Exploratory Study
Prediksi Tegangan Catu Daya Automatic Rain Gauge berdasarkan Seasonality Algoritma Prophet
Get PDFABSTRAKAutomatic Rain Gauge (ARG) adalah sebuah alat yang digunakan untuk melakukan pemantauan dan mengukur curah hujan pada suatu daerah dengan satuan waktu secara otomatis. ARG mampu merekam data curah hujan secara kontinu selama 24 jam. Salah satu elemen kunci dari ARG adalah komponen catu daya. Jika terjadi gangguan pada komponen ini, hal tersebut dapat menghambat proses pengamatan curah hujan yang dijalankan oleh BMKG. Penelitian ini dilakukan untuk meminimalisir terjadinya permasalahan pada catu daya dengan merancang model untuk memprediksi tegangan catu daya ARG dengan memanfaatkan data hasil monitoring menggunakan sensor INA219. Proses prediksi dilakukan dengan menggunakan parameter seasonality daily true, seasonality weekly false, dan seasonality false dan seasonality mode additive dimana diperoleh nilai MAE sebesar 0.21 dan MAPE sebesar 1.67%.Kata kunci: curah hujan, automatic rain gauge, prediksi, tegangan ABSTRACTThe Automatic Rain Gauge (ARG) is a device utilized to automatically monitor and measure rainfall in a specific area over time intervals. ARG is capable of continuously recording rainfall data for 24 hours. A key element of the ARG is its power supply component. If there is a disruption to this component, it can hinder the process of rainfall observation. Carried out by BMKG. This research is conducted to minimize issues with the power supply by designing a model to predict the voltage of the ARG's power supply using data obtained from monitoring using the INA219 sensor. The prediction process is carried out using parameters such as daily seasonality true, weekly seasonality false, and yearly seasonality false and additive seasonality mode. The obtained MAE value is 0.21 and the MAPE value is 1.67%.Keywords: rainfall, automatic rain gauge, predict, voltag
Pendekatan Metode Double Diamond untuk Meningkatkan Pengalaman Pengguna pada Antarmuka Aplikasi Pendeteksi Penyakit Tanaman Sayuran
Get PDFAbstrakDalam konteks pertumbuhan populasi global, pemenuhan kebutuhan pangan semakin penting. Namun, adanya penyakit tanaman menyebabkan penurunan hasil panen, kerugian ekonomi, bahkan krisis pangan. Penelitian sebelumnya berhasil menciptakan teknologi berupa aplikasi pendeteksi penyakit tanaman, namun belum memanfaatkan metode yang berorientasi pada UX. Oleh karena itu, penelitian ini akan fokus pada UX menggunakan metode Double Diamond yang mengeksplorasi masalah secara luas (divergen), diikuti pengambilan tindakan yang fokus (konvergen). Pengujian dilakukan pada prototype menggunakan metode System Usability Scale (SUS) dan User Experience Questionnaire (UEQ). Hasil rata-rata pengujian SUS adalah 90,75 dan pengujian UEQ menunjukkan penilaian "Excellent" pada skala Attractiveness, Stimulation, Dependability, Efficiency, dan Novelty, sementara itu penilaian "Good" pada skala Perpicuity. Dengan demikian, prototype aplikasi berhasil memenuhi kebutuhan pengguna dan memberikan pengalaman pengguna yang memuaskan.Kata kunci: Pendeteksi Penyakit Tanaman, Double Diamond, SUS, UEQAbstractIn the context of global population growth, providing food needs becomes increasingly important. However, plant diseases pose a threat by reducing crop yields, causing economic losses, and potentially causing a food crisis. Previous research succeeded in developing plant disease detection applications, but did not focus enough on user experience (UX). This study uses the Double Diamond method to investigate a problem broadly (divergent) and then take focused action (convergent) to improve UX. Prototype testing carried out using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) gave promising results with an average SUS score of 90.75. The UEQ reflects "Excellent" ratings in Attractiveness, Stimulation, Dependability, Efficiency, and Novelty, and a "Good" rating in Perpicuity. As a result, the app prototype effectively meets user needs, providing a satisfying user experience.Keywords: Plant Disease Detection, Double Diamond, SUS, UE