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All Journal Journal of Development Research International Journal of Health and Information System (IJHIS) InSTEM Jurnal Kecerdasan Buatan dan Teknologi Informasi Akiratech International Journal of Technology, Food and Agriculture
Denny Trias Utomo, Denny Trias
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Agriculture, Biological Sciences & Forestry Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Health Professions Library & Information Science Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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The Application of Slow Sand Filtration Technology for Improving Water Quality at Taman Gading Housing Area, Kaliwates District, Jember Muflihah, Yeni Maulidah; Utomo, Denny Trias; Handayani, Wuryanti; Sulistiyo, Yudi Aris; Andarini, Novita; Asnawati, Asnawati; Indarti, Dwi
Jurnal Inovasi Sains dan Teknologi untuk Masyarakat Vol. 1 No. 2 (2023): November
Publisher : Faculty of Mathematics and Natural Sciences, University of Jember. Jl. Kalimantan No.37, Krajan Timur, Jemberlor, Kec. Sumbersari, Jember Regency, East Java 68121

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/instem.v1i2.470

Abstract

Water is a basic need for all living organisms. Water quality implies living quality. Several parameters influencing water quality include minerals, dissolved organic substances, and turbidity. The water consumed must meet proven water quality standards. However, water quality still needs to be improved in several areas before consumption. The well water in residential areas placed on rice fields generally needs to meet the requirements for consumption. Many Taman Gading housing complex residents, especially in RW 036 RT 006, still use the well water to meet their daily needs. The well water quality in this area tends to be smelly and somewhat misty. Proper treatment is needed to improve the quality of well water in this area to reduce the negative impact on the population's health in the long term. This training focused on well water purification and filtration using slow sand filtration technology (SPL) to improve water quality. This method uses activated charcoal, sand, gauze, and pumice as filter media in specific proportions. The use of this method is effective and efficient in reducing the turbidity level of the sample water to the threshold for drinking water (<500 ppm), with a neutral pH (close to 7.00). This technology is effortless for residents to use and apply independently at a relatively low cost.
RAD-UCD Implementation in Project Management Information System Anugrah, Indra Gita; Witra, Widyasari Puspa Permata; Nuha, Sukma Uli; Wibowo, Nugroho Setyo; Utomo, Denny Trias
Journal of Development Research Vol. 8 No. 2 (2024): Volume 8, Number 2, November 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v8i2.398

Abstract

This study discusses the implementation of Rapid Application Development (RAD) and User-Centered Design (UCD) methods in developing project management information systems for small and medium-scale projects. Using interviews and direct trials by project managers, project team members, and clients, this study aims to understand the extent to which these two methods can improve development efficiency and user satisfaction. The results show that the RAD method accelerates the development process through flexible iterations, while UCD ensures that the resulting system is in accordance with user needs. Project managers reported increased transparency in monitoring progress, team members appreciated features that supported coordination, and clients felt more connected to project developments in real time. The combined implementation of RAD and UCD proved effective in creating a responsive, efficient, and user-friendly project management system to meet the needs of small and medium projects.
IoT for Agricultural Innovation: Enhancing Robusta Coffee Seedling Growth in Controlled Environments with Intelligent Air Quality Control System (IAQCS) Rosdiana, Eva; Ali, Fandyka Yufriza; Pristiwaningsih, Estin Roso; Purbaningtyas, Rani; Hartadi, Didit Rahmat; Utomo, Denny Trias
International Journal of Technology, Food and Agriculture Vol. 2 No. 1 (2025): February
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/tefa.v2i1.5752

Abstract

Advancements in Internet of Things (IoT) technology have revolutionized agriculture by enabling real-time monitoring and automated environmental control to optimize crop growth. This study focuses on evaluating the impact of IoT implementation on greenhouse environmental stability and the growth of Robusta Coffee Clone BP 308 seedlings, emphasizing plant height and leaf count as key parameters. The IoT system incorporates DHT11/DHT22 sensors for temperature and humidity monitoring, soil pH sensors, and an ESP8266 WiFi module for data transmission to an IoT platform. Additionally, Fuzzy Logic algorithms were employed to analyze the data and regulate environmental conditions such as temperature and humidity automatically. The experimental design compared IoT-based systems with conventional methods in a controlled greenhouse environment. Results demonstrated that the IoT system significantly enhanced environmental stability, maintaining an average temperature of 26.59°C and humidity of 86.46%, compared to conventional systems with greater fluctuations of 28.43°C and 82.69%. This stability positively impacted seedling growth, with IoT-treated plants achieving significantly higher heights and leaf counts at weeks 3, 6, and 9. By week 9, IoT-treated seedlings averaged a height of 24.00 cm with 11.73 leaves, outperforming non-IoT seedlings, which reached only 14.07 cm with 8.27 leaves. These findings highlight IoT's potential to create optimal growth conditions, reduce environmental stress, and enhance photosynthetic efficiency. Furthermore, IoT's precision in managing resources supports sustainable agriculture, making it an essential tool for improving productivity and competitiveness, especially in coffee cultivation, a key commodity in Indonesia.
Detecting Dehydration Based on Urine Color Using Fuzzy Logic Image Processing and Regulating Water Intake with an Automatic Water Pump According to Dehydration Level Using an IoT-Based Utomo, Denny Trias; Utomo, Adi Heru; Olivia, Zora; Maria, Nita; Rosidania, Nilla Putri
International Journal of Health and Information System Vol. 1 No. 3 (2024): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijhis.v1i3.32

Abstract

Dehydration is a condition where the body lacks the fluids it needs to carry out its functions optimally. Dehydration can cause various health problems, including decreased mental and physical performance, and can even cause death if not treated immediately. Therefore, it is important to be able to detect and treat dehydration early. One way to detect dehydration is through urine color analysis. Urine that is darker than normal can be a sign of dehydration. The classification of dehydration level according to urine color is as follows: 1-2: Hydrated, 3-4: Mildly dehydrated, 5-6: Dehydrated, 7-8: Very dehydrated. This research aims to develop an IoT-based dehydration detection system that can detect the level of dehydration in a person based on urine color and regulate water intake automatically using a water pump.  The novelty of this research is the method of integrating drinking water intake with dehydration detection based on real-time urine color based on IoT using the Fuzzy Logic method. The results of this research are used by the Jember State Polytechnic TeFa Nutrition Care Center (NCC) in serving patients. The methodology used in this research is Fuzzy Logic image processing to process urine color data and determine a person's level of dehydration. After carrying out this research, the following conclusions were obtained: Based on the literature study in this research, 8 levels of hydration status according to NSW Health were obtained, then from this literature a method was obtained to measure a person's hydration based on urine color using image processing using the Fuzzy Logic method.
ALAT UKUR TINGKAT PENCEMARAN UDARA (KARBON MONOKSIDA (CO) dan NITROGEN DIOKSIDA (NO2)) PADA SEKTOR PERTANIAN BERBASIS IoT Utomo, Adi Heru; Andrianto, Erwin; Utomo, Denny Trias
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 2 No. 1 (2023): January 2023
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v2i1.31

Abstract

Pencemaran udara saat ini terus meningkat karena aktivitas manusia yang yang membuat tingkat konsentrasi gas tinggi, salah satunya dari sektor pertanian yang menghasilkan gas rumah kaca. Sehingga, menyebabkan beberapa dampak buruk bagi kelangsungan makhluk hidup terutama manusia. Pertanian menyumbangkan gas rumah kaca sekitar 14% pada skala global dan 7% pada skala nasional. Hasil tersebut didapat dari pengukuran yang dilakukan oleh dinas pertanian dengan menggunakan sungkup menangkap gas pencemar udara dan laboratorium untuk mengukur konsentrasi gas pencemar udara. Namun, saat ini di Kabupaten Jember peralatan yang dibutuhkan untuk melakukan pengambilan sampel dan laboratorium untuk mengukur tingkat konsentrasi gas masih kurang memadai. Maka, untuk mengatasi permasalahan tersebut, Peneliti merancang sebuah sistem berbasis IoT yang dapat di mengukur tingkat pencemaran udara dengan menggunakan parameter antara lain gas CO dan gas NO2. Hasil dari pengujian, akurasi dari algoritma fuzzy sugeno pada penelitian saat ini sebesar 100%. Sedangkan tingkat error dari sensor CO sebesar 11,4% dan tingkat error dari sensor NO2 sebesar 6,66%. Kata Kunci : Internet of Things, Fuzzy Sugeno, Polusi Udara, Pertanian
Sistem Pendukung Keputusan Pemilihan Jenis Makanan Penderita Stunting Menggunakan Metode Simple Additive Weighting Utomo, Denny Trias; Istiqomah; Rosidania, Nilla Putri
Akiratech Vol. 1 No. 2 (2024)
Publisher : CV. Akira Java Bulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63935/akiratech.v1i2.38

Abstract

Stunting adalah masalah kesehatan yang serius di seluruh dunia, terutama di negara negara berkembang. Salah satu faktor yang dapat mempengaruhi stunting adalah pola makan yang tidak sehat dan tidak memadai. Oleh karena itu, diperlukan sistem pendukung keputusan (SPK) yang dapat membantu pemilihan jenis makanan yang tepat bagi penderita stunting guna meningkatkan asupan gizi mereka. Penelitian ini bertujuan untuk mengembangkan sebuah SPK yang menggunakan metode Simple Additive Weighting (SAW) dalam memilih jenis makanan bagi penderita stunting. Metode SAW digunakan untuk memberikan bobot pada setiap kriteria yang relevan dalam pemilihan jenis makanan, seperti kandungan nutrisi, ketersediaan, dan biaya. Pertama, data kriteria yang relevan dikumpulkan melalui studi literatur dan wawancara dengan ahli gizi. Kemudian, bobot relatif untuk setiap kriteria ditentukan melalui analisis pairwise comparison. Setelah itu, data tentang jenis makanan yang tersedia dan data penderita stunting dikumpulkan untuk digunakan dalam SPK. SPK akan memproses data yang ada dan memberikan rekomendasi jenis makanan yang paling sesuai bagi penderita stunting. Rekomendasi tersebut didasarkan pada perhitungan nilai preferensi menggunakan metode SAW. Jenis makanan dengan nilai preferensi tertinggi akan dianggap sebagai rekomendasi terbaik bagi penderita stunting. Diharapkan bahwa SPK ini dapat menjadi alat yang berguna bagi ahli gizi dalam menentukan jenis makanan yang sesuai. Dengan memperbaiki pola makan mereka, diharapkan penderita stunting dapat meningkatkan asupan gizi dan mengatasi masalah stunting secara efektif. Penelitian ini dapat menjadi dasar untuk pengembangan lebih lanjut tentang SPK dalam bidang pemilihan makanan untuk kondisi kesehatan tertentu.
IS4AC (Intelligence System for Air Controller) Application for Air Quality Control of Tobacco Storage Warehouse PT. Mangli Djaya Raya Riskiawan, Hendra Yufit; Utomo, Denny Trias; Setyohadi, Dwi Putro Sarwo; Firgiyanto, Refa; Firmansyah, Muhammad Hafidh; Widiawan, Beni; Agustianto, Khafidurrohman; Hakim, Thoriq Lukman; Akhdiar, Fikri
International Journal of Technology, Food and Agriculture Vol. 2 No. 1 (2025): February
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/tefa.v2i1.5661

Abstract

Warehouse Quality Monitoring Information System (IS4AC) was developed to improve the monitoring of storage environmental conditions, especially related to temperature, humidity, and PH₃ levels, which have an impact on product quality. This study includes the collection of initial data from partners used for system design and modeling, followed by the development of a sensor-based application that allows real-time monitoring. The research methodology includes data collection, system design, application development, and testing and implementation in the laboratory and partner warehouse locations. The results of the study show that IS4AC is able to provide accurate and timely information, improve operational efficiency, and reduce the risk of product damage due to unmonitored environmental conditions. With this system, users can make better decisions in storage quality management. In conclusion, this study shows the significant potential of an automated monitoring system in improving warehouse management, as well as contributing to the development of adaptive technology in various industrial sectors.
Co-Authors Agustianto, Khafidurrohman Akhdiar, Fikri Anugrah, Indra Gita Asnawati Asnawati Beni Widiawan, Beni Dwi Indarti Dwi Putro Sarwo Setyohadi, Dwi Putro Sarwo Erwin Andrianto Fandyka Yufriza Ali Firmansyah, Muhammad Hafidh Hakim, Thoriq Lukman Hartadi, Didit Rahmat Hendra Yufit Riskiawan Indra Gita Anugrah Istiqomah Maria, Nita Novita Andarini Nugroho Setyo Wibowo Nuha, Sukma Uli Olivia, Zora Pristiwaningsih, Estin Roso Rani Purbaningtyas, Rani Refa Firgiyanto Rosdiana, Eva Rosidania, Nilla Putri Utomo, Adi Heru Wuryanti Handayani Yeni Maulidah Muflihah Yudi Aris Sulistiyo, Yudi Aris