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Nanda Octavia
IPB University
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Social Sciences

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Application of Fuzzy Logic to Determine Gonad Maturity Level Based on Patin Fish Parent Morphology Zevanya Gultom; Muhammad Danang Mukti Darmawan; Ester Angeline; Nanda Octavia; Ida Bagus Wahyu Rizky Himayasa Putra; Bima Widya S; Shepia Wardina; Dini Anisa Amaliasari; Amanda Bhanuwatie; Naura Nazhara N; Naufalariq Syawal Athallah; M. Aldo Ramdhan Pratama; Maulana Ishaq; Gavrilan Hafiz Rangkuti; Camelia Trirahmawati; Afifah Nur Lina Putri; Ilham Galeh Ramadhan; Debora Florence Nainggolan; Fiqri Nurfadillah
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 2 (2025): March 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/90nb0m26

Abstract

The fish gonad maturity detector uses fuzzy logic to provide information about the level of gonad maturity accurately. The utilization of fuzzy logic in determining the level of maturity of catfish gonads offers significant advantages over traditional methods. The data collection method used is qualitative through direct observation of the characteristics of catfish broodstock in the rearing pond as well as literature study of previous research. Observations were made to understand the physical characteristics, while the literature study was to support the creation of a fuzzy logic system. The system has an initial stage in determining fuzzy sets for input and output variables, as well as the formation of fuzzy rules using IF-THEN. including better accuracy and the ability to accommodate individual variations and environmental conditions. Traditional methods of determining the maturity level of fish gonads, such as visual observation and GSI calculation, have their own weaknesses. Therefore, the application of fuzzy logic can help reduce the risks and side effects experienced by fish, and increase the effectiveness and efficiency in determining the level of maturity of catfish gonads.
Integrated Face Recognition and IoT-Based Electronic Equipment Management System Firdayanti Firdayanti; Riyo Putra Syam Satria; Nanda Octavia; Muhammad Danang Mukti Darmawan; Mohamad Alvin Renaldi; Ivan De Nerol; Fiqri Nurfadillah; Fiona Kharismatunnisaa; Ester Angeline; Yourdan Saputra
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 1 (2024): January 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/k4rv4267

Abstract

This research explores the development of an Integrated Face Recognition and IoT-Based Electronic Equipment Management System, aiming to enhance security and efficiency in equipment lending processes. Utilizing face recognition technology integrated with IoT, the system is designed to automate and secure the return of borrowed electronic equipment. The methodology includes a detailed study of existing management practices, development of a prototype system, and analysis of its effectiveness in a real-world setting. Results indicate a significant improvement in the management and security of equipment lending. The system demonstrates potential for broader application in similar contexts.
Prediction of Water Quality in Ponds Based on Temperature, Water Clarity, pH, and Dissolved Oxygen Using Mamdani Fuzzy Logic Fadly Ramdani; Daryn Ramadhani Az Zahra; Herlambang Nurasyid Ramdhani; Mohamad Fikih Amar Dani; Fiqri Nurfadillah; Muhammad Danang Mukti Darmawan; Nanda Octavia
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 2 (2025): March 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/n729q614

Abstract

Water quality is pivotal for successful fish breeding, particularly in pond-based systems. This paper reviews several studies on water quality assessment in fish ponds, analyzing physical and chemical parameters such as temperature, water clarity, pH, and dissolved oxygen (DO). However, existing studies often need help in precisely evaluating water quality due to uncertainties in the obtained values. This study suggests applying fuzzy logic; specifically, the Mamdani method-to produce more accurate and conclusive assessment values to overcome this problem. Fuzzy logic enables the processing of vague information, overcoming existing uncertainties. The study highlights four key parameters; temperature, water clarity, pH, and dissolved oxygen-consistently influencing water quality assessment. By incorporating Mamdani fuzzy logic into water quality evaluation, this research aims to enhance the accuracy and effectiveness of assessment methods, thereby advancing previous research efforts in fisheries cultivation.
Potential Analysis of the Application of Fuzzy Logic in the Optimization of Pak Choi Hydroponic Cultivation: A Literature Study on Plant Growth Support System Putri Jasmin; Anton Wira Pratama; Mahatmadi Ariq Mayangkara; Muhamad Reza Zulva Pohan; Allegra Alif Rahman; Inna Novianty; Nanda Octavia; Ivan De Nerol
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 4 (2024): September 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/qarba550

Abstract

The rapid urbanization and increasing population density in Indonesia have led to a reduction in available land for traditional agriculture, particularly in urban centers. In response to this challenge, urban farming, including hydroponic cultivation, has emerged as a viable solution to meet the food needs of urban communities. This study explores the potential application of fuzzy logic in optimizing hydroponic cultivation practices, focusing on the growth of pak choi plants. Pak choi, a popular vegetable in Indonesia, offers numerous health benefits and is well-suited for hydroponic cultivation. By analyzing relevant literature, this research investigates the influence of water pH and temperature on pak choi plant growth and develops a fuzzy expert system based on Mamdani's method. The study prepares data on optimal temperature and pH ranges for pak choi cultivation and establishes fuzzy sets for water temperature, water pH level, and plant height. The findings provide insights into the effects of water pH and temperature on pak choi plant growth and demonstrate the potential of fuzzy logic in optimizing hydroponic cultivation practices. This research contributes to the advancement of agricultural technology and offers practical solutions for sustainable urban farming.
Implementation of Fuzzy Logic in Stabilizing Temperature and Humidity in Freeze Dryers for Dried Apple Ghassan Rafananda Raja Harahap; Shafira Fayza Dewani Sudiro; Rayna Suci Alifah; Salsabila Salsabila; Ade Trisna Iswanda; Xaviera Yasmin Azahra; Ghina Khairunnisa Putri; Syifa Az Zahra; Hidayat Faiz Sanjaya; Izharul Haq Ar Rafi; Aisyah Sakha Damarjati; Enjela Rahmawati; Nanda Octavia; Ester Angeline; Muhammad Danang Mukti Darmawan; Fiqri Nurfadillah; Mrr Lukie Trianawati
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 4 (2024): September 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/3bjxym42

Abstract

Freeze drying is a process to remove water from a material by sublimation, in the form of ice under low pressure. This process is used to stabilize food, and pharmaceutical products. During the process, the dried product maintains its quality, including biological, nutritional, and sensory properties, because freezing the water within the material before lyophilization prevents chemical, biochemical, and microbiological reactions. The aim of this research is to determine the optimal temperature and time to produce good products in the freeze drying process. The method used for this article is the literature study and observation method. This research uses manual calculations which are then implemented in a control system using a fuzzy logic algorithm in the Matlab application. In conclusion, both the manual calculation results and the matlab calculations that have been conducted are the same, which confirms the accuracy and validity of the preceding calculations.
Implementation of Fuzzy Logic in Determining the Acceptance Status of Fresh Milk Based on pH and Density Ahmad Daffa Naufal Ziddani; Fiqri Nurfadillah; Muhammad Danang Mukti Darmawan; Ester Angeline; Nanda Octavia; Syahla Aqilah; Salsabila Arina Pramudita; Wianda Aghnia Salsabila; Febby Aurellya; Novi Giotta Hutapea; Asochia Naomi Sitohang; Assadel Zhafif Alwaini; Ayu Shakira Nur Riawan; Aqila Asysyakur; Difa Mukmilatul Kautsar; Raisa Fasya; Luluah Sabrina Putri; Mrr Lukie Trianawati
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 3 (2024): June 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/xvycaa24

Abstract

Fuzzy logic, known as fuzzy set theory, has become widely used to deal with uncertainty in research data processing. Fuzzy logic methods are known for their ease of implementation in machine language environments and their effectiveness in combining machine language representations with humanlanguage with an emphasis on meaning or importance. Fuzzy logic maps input space to output space, and this concept is closely related to dealing with uncertainty in data. In applying fuzzy logic in this study, the variables pH and density of milk are considered inputs whose value ranges are divided into low, medium, and high categories. The result of the fuzzy system is the acceptability state of fresh milk. By applying this method using MATLAB software, the simulation results show that at a milk pH of 6.2 and a specific gravity of 1.0320, the acceptability state of fresh milk is 30. After the defuzzification process and manual calculation, the final result is 29.30~30. From these results, fuzzy logic provides high accuracy to support progressive decision-making. This allows the system to consider the complexity of milk quality criteria that cannot always be measured in a binary way (e.g., good or bad), resulting in more precise and accurate decisions.
Implementation of Fuzzy Logic on Adding Sodium Bicarbonate and Carboxy Methyl Cellulose (CMC) Concentrations to the Texture of Wet Noodles Sabrina Anjani; Fiqri Nurfadillah; Ester Angeline; Nanda Octavia; Muhammad Danang Mukti Darmawan; Ilham Arrizqillah; Fajar Septiandi; Ragil Arimbi Nuryan Putri; Annisa Salsabila Suryawan; Alya Agustin; Eka Dewi Anisyah Azis; Maghfira Syafiqa; Muhammad Daffa Dzikra Martanegara; Syahla Sandrina; Alya Retno Hasyyati; Selva Rafania Haifa; Mrr. Lukie Trianawati
Journal of Applied Science, Technology & Humanities | JASTH Vol. 2 No. 1 (2025): January 2025
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/g57ddv54

Abstract

Abstract The purpose of this study was to identify appropriate concentrations of sodium bicarbonate and CMC in order to produce wet noodles with textures preferred by consumers. The steps used in this study are to conduct a literature study to obtain data in the form of input variables, namely sodium bicarbonate and Carboxy Methyl Cellulose (CMC), and output, namely texture. The input variables are fuzzified, and then the fuzzy rules and inference are determined by Mamdani and defuzzification methods. Data processing using the Mamdani method is carried out with the help of the Matlab application. The result of this study is the formulation of sample 1 with the addition of 0.6% sodium bicarbonate and 0.2% CMC and sample 2 with the addition of 0.6% sodium bicarbonate and 0% CMC, which are recommended to consumers because they produce the preferred texture of wet noodles.
The Use off Fuzzy Mamdani to Predict Tilapia Production Based on Freshwater Quality Muhammad Aqshol Dafa Ramadhan; Muhammad Raulian Deyastra; Fawwaz Fadlurohman; Rahmah Syahidah; Muhammad Radithya Naufal Apriansyah; Devara Ryanta Mulya; Nanda Octavia; Ester Angeline; Muhammad Danang Mukti Dermawan; Bagas Wibisono; Bintan Naktavia; Muhammad Surya Ramadhan; Evita Maharani; Yuliandra Rizky; Yahya Ian Keyvin Sitio; Fira Arista Dewi; Ghinna Zulfia; Putri Ryanda; Rezky Damayanti Nur; Fiqri Nurfadillah
Journal of Applied Science, Technology & Humanities | JASTH Vol. 1 No. 5 (2024): November 2024
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/3jfbnh51

Abstract

Fish cultivation is a form of animal husbandry that is widely practiced by Indonesian people, whether cultivation is in ponds, rivers, or the sea, fish cultivation in ponds requires regular maintenance and feeding of fish. Excessive feeding also affects the water quality of the cultivation media which also affects the survival of the fish. One solution is to build a water quality monitoring system. A monitoring system can be created based on Fuzzy logic which makes it easier to control water quality. In this research, the sensors used were temperature, pH, DO, and ammonia. The data will then be processed by Matlab and will display the results on the screen.
Co-Authors Ade Trisna Iswanda Afifah Nur Lina Putri Agus Miftah Nur Rizqi Ahmad Daffa Naufal Ziddani Aidil Hidayat Aisyah Sakha Damarjati Aldiyansyah Allegra Alif Rahman Alya Agustin Alya Retno Hasyyati Amanda Atika Zahra Amanda Bhanuwatie Amelia Indah Pariansyah Andhea Sitoresmi Nurauliya Angga Eben Ezer Annisa Intan Handayani Annisa Salsabila Suryawan Anton Wira Pratama Antonio Banggas Gregory Sinaga Aqila Asysyakur Arridho Fariz Alghifari Asochia Naomi Sitohang Assadel Zhafif Alwaini Awwalu Rohadatil 'Aisy Ayu Shakira Nur Riawan Bagas Wibisono Bima Widya S Bintan Naktavia Camelia Trirahmawati Cika Ridha Rismawati Danang Mukti Darmawan Danish Ardian Pangestu Daryn Ramadhani Az Zahra Debora Florence Nainggolan Denita Dwi Maharani Dennaya Mustika Devara Ryanta Mulya Dhafa Kamil Difa Mukmilatul Kautsar Dinda Ayu Prameswari Dini Anisa Amaliasari Divo Wibowo Adi Eka Dewi Anisyah Azis Enjela Rahmawati Ester Angelina Ester Angeline Evita Maharani Fadly Ramdani Faida Nur Zakiyah Fajar Septiandi Fauzan Naufal Gibran Fawwaz Fadlurohman Febby Aurellya Fiona Kharismatunnisaa Fiqri Nurfadillah Fira Arista Dewi Firdayanti Firdayanti Firdayanti Gavrilan Hafiz Rangkuti Ghaisya Raihana Ghassan Rafananda Raja Harahap Ghina Khairunnisa Putri Ghina Sabillah Ghinna Zulfia Gita Khaerunnisa Hafiz Agi Alfasih Hanan Luthfan Hafizh Herlambang Nurasyid Ramdhani Herti Herti Hidayat Faiz Sanjaya Ida Bagus Wahyu Rizky Himayasa Putra Ihda Rahmadaniar Iklima Istiqomah Ilham Arrizqillah Ilham Galeh Ramadhan Inna Novianty Intan Nurmaharani Irfan Tigranaufal Nugraha Ivan De NeroI Ivan De Nerol Ivan De Nerol Izharul Haq Ar Rafi Jeni Luthfi Araya Jimmy Mohamad Alpino Anak Gumay Keinanjung Ruswandi Luluah Sabrina Putri Lutfi Aziz Febrika Ardy M. Aldo Ramdhan Pratama Maghfira Syafiqa Mahatmadi Ariq Mayangkara Maulana Ishaq Mohamad Alvin Renaldi Mohamad Fikih Amar Dani Mohamad Mohamad Alvin Renaldi Mohammad Akbar Alfa Dirk Steyer Mohammad Iqsan Syachranie Mrr Lukie Trianawati Mrr. Lukie Trianawati Muhamad Reza Zulva Pohan Muhammad Aqshol Dafa Ramadhan Muhammad Daffa Dzikra Martanegara Muhammad Danang Mukti Darmawan Muhammad Danang Mukti Dermawan Muhammad Fakhri Alauddin Muhammad Ifan Al Aziz Muhammad Karim Bachtiar Muhammad Radithya Naufal Apriansyah Muhammad Rafid Habibi Tambunan Muhammad Raulian Deyastra Muhammad Surya Ramadhan Mutiara Vania Hesti Nadia Nur Azizah Nafi'a Ikromatul Hasanah Nafla Hasna Alifa Nailah Ghaida Putri Prabowo Nanda Rizki Utami Naufalariq Syawal Athallah Naura Nazhara N Nazwa Zulfa Fadilah Nisrina Mutiara Anandha Novi Giotta Hutapea Putri Jasmin Putri Ryanda Putri Tampubolon Rafi Rasyid Parmana Rafly Aulia Rahman Ragil Arimbi Nuryan Putri Rahmah Syahidah Raida Dwiana Yasmin Raisa Fasya Ramma Dwi Rachmat Rayna Suci Alifah Revanda Arifia Rezky Damayanti Nur Rini Yuni Sara Situmorang Riyo Putra Syam Satria Robby Priaji Sakti Rolan Natanael Sitinjak Sabrina Anjani Salsabila Arina Pramudita Salsabila Az-Zahrah Salsabila Salsabila Selva Rafania Haifa Sesar Husen Santosa Shafira Fayza Dewani Sudiro Shepia Wardina Sista Naelly Adzimi Stephen Nathaniel Syahla Aqilah Syahla Sandrina Syawaliyah Yahya Syifa Az Zahra Tiara Safitrah Viony Amelia Viska Putri Prisillia Wafi Hawali Wianda Aghnia Salsabila Xaviera Yasmin Azahra Yahya Ian Keyvin Sitio Yourdan Saputra Yuliandra Rizky Zaki Rafi Athallah Zevanya Gultom