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Muhammad Danang Mukti Darmawan
IPB University
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Social Sciences

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Making a Mobile-Based Social Media Information System for Environmentalists with Flutter and AWS Mohamad Alvin Renaldi; Riyo Putra Syam Satria; Nanda Octavia; Muhammad Danang Mukti Darmawan; Ivan De Nerol; Firdayanti; 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: 10.62535/73a97b15

Abstract

This research explores an effective role in environmental conservation through technological innovation. This study aims to design and develop a mobile-based social media application by utilizing Flutter technology and AWS architecture. The research focuses on managing user data securely and efficiently through AWS services. This research uses an applied method based on the Scrum framework, emphasizing technology integration for environmental preservation and AWS implementation for data security. The results showed successful application development in line with the company's environmental sustainability mission. The data management system ensures safe and efficient handling of user information. The study concludes with a summary of findings, emphasizing the positive impact of technology on environmental initiatives.
IoT-Based Barcode Scanning System for Production and Warehouse Management Ivan De Nerol; Riyo Putra Syam Satria; Rafi Rasyid Parmana; Nanda Octavia; Muhammad Danang Mukti Darmawan; Mohamad Mohamad Alvin Renaldi; Firdayanti; Fiqri Nurfadillah; Fiona Kharismatunnisaa; Ester Angeline; Dhafa Kamil; 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: 10.62535/0zv1h756

Abstract

This project aims to develop an IoT-based barcode scanning system using an ESP32 microcontroller and a GM-65 barcode reader for efficient production and warehouse management. The system facilitates automated and accurate barcode scanning, with the collected data transmitted to a web-based platform in real-time. The web interface provides users with comprehensive insights into production quantities and warehouse status, generating a detailed journal for traceability and accountability. This innovative solution offers businesses a streamlined approach to monitor and record production activities, ultimately optimizing the overall efficiency of production and warehouse management processes.
Mamdani's Fuzzy Logic-Based Tapioca Optimal Production Amount Prediction System Tiara Safitrah; Divo Wibowo Adi; Irfan Tigranaufal Nugraha; Antonio Banggas Gregory Sinaga; Zaki Rafi Athallah; Mohammad Akbar Alfa Dirk Steyer; Sesar Husen Santosa; Muhammad Danang Mukti Darmawan; Nanda Octavia
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/ws0haa49

Abstract

This research focuses on the imbalance between supply and demand in the tapioca industry, especially on the scale of Small and Medium Industries (SMI). Such challenges involve price fluctuations and lack of efficiency in determining the optimal production amount. Using fuzzy logic as an artificial intelligence method, this research aims to develop a system for predicting the optimal amount of tapioca production that can increase efficiency, reduce waste of raw materials and energy, and stabilize prices. The data used in this study was obtained through interviews with resource persons who are involved in the field of tapioca SMI. Furthermore, the data was processed using the Mamdani Fuzzy Inference System method. The results showed that in the case of production when demand is 400 kg and cassava availability is 2000 kg, the optimal production amount of tapioca is 630 kg. This value is also consistent when proven using the Matlab R2015a application. This shows that the model can be relied upon in determining the decision on the amount of tapioca production by considering demand factors and raw material availability.
Implementation of Fuzzy Logic to Determine the Doneness of Beef Steak Sista Naelly Adzimi; Robby Priaji Sakti; Aldiyansyah; Muhammad Ifan Al Aziz; Muhammad Fakhri Alauddin; Jimmy Mohamad Alpino Anak Gumay; Sesar Husen Santosa; Muhammad Danang Mukti Darmawan; Nanda Octavia
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: 10.62535/93z2df58

Abstract

This study aims to implement fuzzy logic in determining the doneness level of beef steak based on the inputs of roasting time and roasting temperature. The output of the developed system is in the form of maturity levels in the categories of "rare", "medium rare", "medium", "medium well", and "well done". Data for this study were obtained through interviews with experienced beef steak sellers. This research method includes direct calculations as well as the use of MATLAB software to develop fuzzy logic systems. The results of the interview analysis are used as a basis for the formation of fuzzy rules for determining the degree of doneness of steaks. The results showed that in the example case with a roasting temperature of 300°C and a roasting time of 10 minutes, the resulting output value was 70, which placed the doneness of the steak in the "medium well" position. These results have been verified both through direct calculations and the use of MATLAB software. The study concluded that the implementation of fuzzy logic can help in determining the doneness level of beef steak, based on temperature variations and roasting time. 
Optimization of Cassava Production Management using Fuzzy Logic to Enhance Efficiency and Production Yield Iklima Istiqomah; Hafiz Agi Alfasih; Herti Herti; Revanda Arifia; Fauzan Naufal Gibran; Angga Eben Ezer; Sesar Husen Santosa; Muhammad Danang Mukti Darmawan; Nanda Octavia
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: 10.62535/3pxptb43

Abstract

This research aims to optimize cassava production using fuzzy logic to enhance efficiency and productivity. Cassava is an important agricultural crop in Indonesia with great potential due to its ability to thrive in various types of soil and climates. Despite being considered a secondary food, cassava has numerous health benefits and serves as a good source of energy. However, crop failures and low yields hinder cassava production. Farmers can achieve optimal yields by maximizing output with minimal input costs. In addition to meeting market demand, pricing strategies are also crucial in determining the best products. Therefore, manufacturing companies need to plan the quantity of products to meet the expected demand. Factors such as product supply and demand need to be considered. It is challenging to monitor production elements when manual calculations are used. Hence, a method to accurately predict product availability is needed. The method used is fuzzy logic computation. We employ the Mamdani fuzzy logic method in this study. The outcome of this research is the ability to enhance cassava production yields based on Mamdani fuzzy logic calculations. The computations conducted enable farmers to determine production levels based on consumer demand.
Implementation of Fuzzy Logic in Determining Dough Development Rate of Bakery Products Andhea Sitoresmi Nurauliya; Fiqri Nurfadillah; Muhammad Danang Mukti Darmawan; Ester Angeline; Nanda Octavia; Syawaliyah Yahya; Rolan Natanael Sitinjak; Raida Dwiana Yasmin; Rafly Aulia Rahman; Putri Tampubolon; Nanda Rizki Utami; Nafla Hasna Alifa; Nafi'a Ikromatul Hasanah; Jeni Luthfi Araya; Ghina Sabillah; Arridho Fariz Alghifari; Amanda Atika Zahra; Mrr. Lukie Trianawati
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/gx24da85

Abstract

Bakery is one of the dessert-making places that is popular with various circles. Good product quality is greatly influenced by the right roasting process. Temperature and proofing time are important factors for bakery products themselves. This research aims to analyze the effect of temperature and proofing time on bakery products using fuzzy implementation methods. The fuzzy method is a soft computing technique that mimics human decision-making processes to solve complex and uncertain problems. In this study, the fuzzy system was designed to control the oven temperature and the proofing time of bakery products. The fuzzy system has two inputs, namely temperature and proofing time, and one output, which is the bread development rate. The fuzzy rule is designed to determine the degree of bread proofing based on a combination of temperature values and proofing time. The results of the study with a case study of a baking temperature of 185°C and a proofing time of 115 minutes showed the level of bakery development with medium results. Calculations are done using manual method and Matlab application. The manual calculation yields a result of 6, which falls within the medium fuzzy rule, consistent with the data processing results in the MATLAB application.
The Application of Fuzzy Logic for the Quality of Salted Egg Denita Dwi Maharani; Fiqri Nurfadillah; Muhammad Danang Mukti Darmawan; Nanda Octavia; Ester Angelina; Danish Ardian Pangestu; Nazwa Zulfa Fadilah; Amelia Indah Pariansyah; Salsabila Az-Zahrah; Viony Amelia; Intan Nurmaharani; Nailah Ghaida Putri Prabowo; Cika Ridha Rismawati; Faida Nur Zakiyah; Awwalu Rohadatil 'Aisy; Annisa Intan Handayani; 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: 10.62535/6mb80z46

Abstract

Salted eggs are a typical Indonesian food whose processing process is through dry or wet salting. The process of processing salted eggs aims to increase added value and extend the shelf life of duck eggs. This study was conducted to analyze the quality of salted eggs in the practicum of IPB Food Quality Assurance students, based on organoleptic tests with the most preferred flavor, texture, and over-ripening parameters. Assessment of the quality of salted eggs is done by organoleptic test by assessing the level of liking to 27 panelists. Because the 3 variables used are vague, so the variables and parameter determination are uncertain. Due to the uncertainty of the variables and parameters used, fuzzy logic is used with the Mamdani method to help make decisions. The results showed in the sample that salted eggs made with rubbed ash and salt ratio (2: 1) had good quality with a quantitative value of 7.5. Salted eggs with good quality, means that salted egg samples are acceptable to panelists.
Implementation of Fuzzy Logic in the Oven Temperature Control System and The Length of Time in The Baking Process for Nastar Products Agus Miftah Nur Rizqi; Nanda Octavia; Ester Angeline; Fiqri Nurfadillah; Muhammad Danang Mukti Darmawan; Viska Putri Prisillia; Rini Yuni Sara Situmorang; Nisrina Mutiara Anandha; Nadia Nur Azizah; Mutiara Vania Hesti; Hanan Luthfan Hafizh; Gita Khaerunnisa; Ghaisya Raihana; Dinda Ayu Prameswari; Dennaya Mustika; Aidil Hidayat; 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: 10.62535/82f0j647

Abstract

This research focuses on the effect of oven temperature and roasting time on cookie products, especially Nastar, produced for specific events. The right temperature and roasting time will affect the quality and characteristics of Nastar that consumers will accept. A tool called fuzzy logic selects Nastar's optimal temperature and baking time. Fuzzy logic is a mathematical method that uses computer intelligence to determine Nastar's temperature and baking time. The data used in this research was obtained from previous research and then analyzed using the fuzzy logic method. The temperature variables used in this research are Low temperature (80, 100, 1200C), Medium temperature (110, 130, 1500C), and High temperature ( 140, 160, 1800C) and the roasting time variables are Short time (0, 0, 5, 10 minutes) and Longtime (10, 15, 20, 20 minutes). This research shows that the optimal temperature for Nastar is 1150C with a baking time of 18 minutes. This result is based on calculations carried out using the Matlab application.
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.
Co-Authors Ade Trisna Iswanda Afifah Nur Lina Putri Agus Miftah Nur Rizqi Ahmad Daffa Naufal Ziddani Aidil Hidayat Aisyah Sakha Damarjati Aldiyansyah 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 Antonio Banggas Gregory Sinaga Aqila Asysyakur Arridho Fariz Alghifari Asochia Naomi Sitohang Assadel Zhafif Alwaini Awwalu Rohadatil 'Aisy Ayu Shakira Nur Riawan Bima Widya S Camelia Trirahmawati Cika Ridha Rismawati Danish Ardian Pangestu Daryn Ramadhani Az Zahra Debora Florence Nainggolan Denita Dwi Maharani Dennaya Mustika Dhafa Kamil Difa Mukmilatul Kautsar Dinda Ayu Prameswari Dini Anisa Amaliasari Divo Wibowo Adi Eka Dewi Anisyah Azis Enjela Rahmawati Ester Angelina Ester Angeline Fadly Ramdani Faida Nur Zakiyah Fajar Septiandi Fauzan Naufal Gibran Febby Aurellya Fiona Kharismatunnisaa Fiqri Nurfadillah Firdayanti Firdayanti Firdayanti Gavrilan Hafiz Rangkuti Ghaisya Raihana Ghassan Rafananda Raja Harahap Ghina Khairunnisa Putri Ghina Sabillah Gita Khaerunnisa Hafiz Agi Alfasih Hanan Luthfan Hafizh Herlambang Nurasyid Ramdhani Herti Herti Hidayat Faiz Sanjaya Ida Bagus Wahyu Rizky Himayasa Putra Iklima Istiqomah Ilham Arrizqillah Ilham Galeh Ramadhan Intan Nurmaharani Irfan Tigranaufal Nugraha Ivan De Nerol Ivan De Nerol Izharul Haq Ar Rafi Jeni Luthfi Araya Jimmy Mohamad Alpino Anak Gumay Luluah Sabrina Putri M. Aldo Ramdhan Pratama Maghfira Syafiqa Maulana Ishaq Mohamad Alvin Renaldi Mohamad Fikih Amar Dani Mohamad Mohamad Alvin Renaldi Mohammad Akbar Alfa Dirk Steyer Mrr Lukie Trianawati Mrr. Lukie Trianawati Muhammad Daffa Dzikra Martanegara Muhammad Fakhri Alauddin Muhammad Ifan Al Aziz Mutiara Vania Hesti Nadia Nur Azizah Nafi'a Ikromatul Hasanah Nafla Hasna Alifa Nailah Ghaida Putri Prabowo Nanda Octavia Nanda Rizki Utami Naufalariq Syawal Athallah Naura Nazhara N Nazwa Zulfa Fadilah Nisrina Mutiara Anandha Novi Giotta Hutapea Putri Tampubolon Rafi Rasyid Parmana Rafly Aulia Rahman Ragil Arimbi Nuryan Putri Raida Dwiana Yasmin Raisa Fasya Rayna Suci Alifah Revanda Arifia 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 Syahla Aqilah Syahla Sandrina Syawaliyah Yahya Syifa Az Zahra Tiara Safitrah Viony Amelia Viska Putri Prisillia Wianda Aghnia Salsabila Xaviera Yasmin Azahra Yourdan Saputra Zaki Rafi Athallah Zevanya Gultom