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Satya Arisena Hendrawan
Universitas Siber Indonesia
Agriculture, Biological Sciences & Forestry Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Transportation Other

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Journal : transformasi

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ANALISIS PERBANDINGAN METODE PENDUKUNG KEPUTUSAN PEMILIHAN SKINCARE MENGGUNAKAN METODE SAW, WP, dan SMART Nuraeni, Yayang Ayu; Nurjanah, Noneng; Hendrawan, Satya Arisena; Muhiban, Ayi
TRANSFORMASI Vol 21, No 1 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i1.416

Abstract

Increasing public awareness of the importance of skin care to maintain health has encouraged the emergence of various products on the market. In recent years, the skincare industry has experienced very rapid growth. This study aims to enable users to choose skincare that is safe, appropriate, and in accordance with their facial skin type with the methods used being Simple Additive Weighting (SAW), Weighted Product (WP), and Simple Multi-Attribute Rating (SMART). The results of the calculation process based on the level of suitability, it was found that using the SAW and SMART methods was better than the WP method, namely with a percentage value of suitability between 99.85719% in the SAW method, 99.85715% in the WP method, and 99.85715% in the SMART method. So the SAW and SMART methods are the most relevant methods to solve the problem of providing loans.Keywords : Skincare, Simple Additive Weighting, Weighted Product, Simple Multi-Attribute Rating, Decision Support System.
ANALISIS PERBANDINGAN METODE PENDUKUNG KEPUTUSAN PEMILIHAN SKINCARE MENGGUNAKAN METODE SAW, WP, dan SMART Nuraeni, Yayang Ayu; Nurjanah, Noneng; Hendrawan, Satya Arisena; Muhiban, Ayi
TRANSFORMASI Vol 21, No 1 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i1.416

Abstract

Increasing public awareness of the importance of skin care to maintain health has encouraged the emergence of various products on the market. In recent years, the skincare industry has experienced very rapid growth. This study aims to enable users to choose skincare that is safe, appropriate, and in accordance with their facial skin type with the methods used being Simple Additive Weighting (SAW), Weighted Product (WP), and Simple Multi-Attribute Rating (SMART). The results of the calculation process based on the level of suitability, it was found that using the SAW and SMART methods was better than the WP method, namely with a percentage value of suitability between 99.85719% in the SAW method, 99.85715% in the WP method, and 99.85715% in the SMART method. So the SAW and SMART methods are the most relevant methods to solve the problem of providing loans.Keywords : Skincare, Simple Additive Weighting, Weighted Product, Simple Multi-Attribute Rating, Decision Support System.
SIMULASI SISTEM PEMANTAUAN AIR SUNGAI BERBASIS INTERNET OF THINGS DAN KONTROL LOGIKA FUZZY Hendrawan, Satya Arisena; Harun, Rofiq; Amirah, Amirah
TRANSFORMASI Vol 21, No 2 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i2.445

Abstract

This study aims to develop a river water hazard monitoring system based on the Internet of Things (IoT) and fuzzy logic. This system is designed to help the community in identifying the level of danger of river flows. By using ultrasonic sensors and Arduino Uno microcontrollers, Cisco Packet Tracer simulation, Fuzzy logic, and visualization using Proteus software. This system is capable of monitoring water levels in real-time, providing early warning notifications with a Fuzzy Logic approach to improve accuracy and response to critical conditions. The study uses the ADDIE development model, problem analysis using SWOT (Strength, Weakness, Opportunity and Threat), Feasibility Analysis using TELOS Analysis which analyzes five main aspects, namely Technical, Economic, Legal, Operational, and Schedule. The results of the Black Box test show that each function in the system works according to user needs. Based on the results of the UAT test, the average overall score is 4.51 (Very Good category). This means that the water level monitoring system developed with fuzzy logic received positive feedback from respondents. This system is considered accurate in detecting water levels, easy to use, and reliable in various environmental conditions.Keywords: Internet of Things, fuzzy logic, ultrasonic, Arduino, SWOT, TELOS
ANALISIS PERBANDINGAN METODE FUZZY MFEP DAN FUZZY SAW UNTUK PEMILIHAN SUSU FORMULA Hendrawan, Satya Arisena; Saptoto, Robertus; Yazid , Ahmad
TRANSFORMASI Vol. 22 No. 1 (2026): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/9f8jd127

Abstract

Selecting the appropriate milk product is essential to fulfill nutritional needs. The wide variety of milk products available in the market, with differences in nutritional content, price, and taste, often makes it difficult for consumers to make optimal decisions. This study aims to analyze and compare the Fuzzy Multi Factor Evaluation Process (Fuzzy MFEP) and Simple Additive Weighting (SAW) methods in determining the best milk product based on several criteria, including protein content, price, expiration period, taste/variant, and sugar content. This research applies a Multiple Criteria Decision Making (MCDM) approach, where each alternative is evaluated using predefined criteria weights. The results show that the SAW method identifies Greenfields as the best alternative with the highest preference value, while the Fuzzy MFEP method ranks Indomilk as the top alternative. This difference occurs due to the distinct characteristics of each method, where Fuzzy MFEP emphasizes subjective evaluation, while SAW relies on structured numerical data. Further analysis indicates that the SAW method is more consistent and efficient for quantitative data processing in consumer product selection. Therefore, SAW is recommended as a more effective decision support method in this context. This study contributes to providing a rational and data-driven approach for consumers in selecting milk products. Keywords: Decision Support System, MCDM, SAW, Fuzzy MFEP, milk
Co-Authors Afdhal Chatra Agus Trihandoyo Amirah Amirah Anang Martoyo Anang Martoyo Arief Iswariyadi Dana Santoso Saroso Deki Satria Diky Wardhani Diky Wardhani Dwipo Setyantoro Fahmy Rinanda Saputri FITRIYASARI, MALIATUL Hasan Basri Herwanto Herwanto Herwanto Herwanto Ike Pertiwi Windasari Judijanto, Loso Loebis, Iin Almeina Loso Judijanto Muhammad Salehuddin Muhiban, Ayi Muthmainnah, Syifa Nurlaeli Nawir, Fadliyani Nurjanah, Noneng Nurul Iman Putra, Haris Satria Putriarrum Kusuma Wardani R Rizal Isnanto Rifka Widyastuti, Rifka Rizki Hesananda Rofiq Harun Saptoto, Robertus Soemarno Hidayatullah Taufiqurokhman Taufiqurokhman TAUFIQUROKHMAN, TAUFIQUROKHMAN Teddy Oswari Tristyanti Yusnitasari Vannessa Wong Widodo, Abung Yayang Ayu Nuraeni Yazid , Ahmad