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Muhammad Abdul Muin
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Transformasi
Published by STMIK Bina Patria
ISSN : 19785569     EISSN : 28278550     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics
Jurnal transformasi sebagai wadah untuk mengembangkan Dan mensosialosasikan IPTEk berbasis penelitian dan kajian ilmiah (artikel review) dalam lingkup Informatika, elektronika, manajemen, pendidikan & pembelajaran.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 18 Documents
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Search results for , issue "Vol 21, No 2 (2025): TRANSFORMASI" : 18 Documents clear
APLIKASI PENENTUAN KEBERHASILAN INSEMINASI BUATAN PADA SAPI DENGAN MENGGUNAKAN ALGORITMA NAÏVE BAYES Riansyah, Muhammad Reza; Mutaqin, Zaenul; Nova, Sausan Hidayah; Rahmi, Mifthahul
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.v21i2.471

Abstract

Inseminasi buatan (IB) atau dikalangan peternak disebut kawin suntik, keunggulannya yaitu memungkinkan kelahiran anak sapi yang sehat karena menggunakan semen yang berkualitas, juga mengurangi penularan penyakit dan efisiensi transportasi. Penerapan metode Naïve Bayes pada penentuan keberhasilan inseminasi buatan dengan menentukan data training yang akan dijadikan data latih dalam proses penilaian keberhasilan dan pengambilan keputusan, di mana algoritma pada metode tersebut akan mempermudah para petugas atau inseminator dalam menggunakannya, maka tujuan dari penelitian ini adalah untuk memperkecil kegagalan pada proses inseminasi buatan.Penelitian ini menggunakan sebanyak 50 data sampel, yang digunakan sebagai data latih berjumlah 38 data dan 12 data yang dimasukkan pada saat pengujian, algoritma metode Naïve Bayes akan menghitung jumlah dari nilai berhasil dan tidak dari pencarian jumlah data latih. Dari hasil perbandingan data pretest dan posttest maka diperoleh persentase kemampuan metode untuk hasil kesesuaian data yaitu sebesar 83,3%.
PERANCANGAN USER INTERFACE PADA START-UP GADGET STORE MENGGUNAKAN METODE USER CENTERED DESIGN Syujak, Ahmad Rois; Friadi, John; Royyana, Fia
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.v21i2.449

Abstract

The development of digital technology has driven the rapid growth of various startups in Indonesia, particularly in e-commerce. One sector experiencing significant growth is the online sale of electronic devices and gadgets. Consumers now prefer online transactions due to their perceived convenience, efficiency, and flexibility. However, amidst intense competition between e-commerce platforms, user experience has become a key factor in the success of an application or website. This study aims to identify user needs and preferences when interacting with the Gadget Store application, design a user interface prototype that applies User-Centered Design principles, and evaluate the level of usability and user satisfaction with the resulting interface design. The system development method used was User-Centered Design, while the problem analysis used SWOT and the feasibility study used TELOS. The UI design testing process used 10 Usability Heuristic indicators, with a test result of 87%. This proves that the digital startup designed meets user needs. The Gadget Store startup is expected to provide users with convenience in searching for iPhone information, including ease of transactions. Keywords: digital start-up, Gadget Store, User Centered Design, TELOS, Usability Heuristic
RANCANG BANGUN SISTEM INFORMASI PENJUALAN HANDMADE BEADS VYOLET BERBASIS WEBSITE SEBAGAI MEDIA PROMOSI DI ERA GEN Z Wulandari, Putri; Akramunnisa, Akramunnisa; Kurniadi, Wisnu
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.v21i2.468

Abstract

This study aims to design and build a sales information system that meets the needs of the Gen Z era. The research method used is Research and Development (RD), with a waterfall development model approach consisting of five stages, namely: needs analysis, system design, writing program code, system testing, and implementation. This application was developed using the PHP programming language, HTML, Laravel Framework, Visual Studio Code as a code editor, XAMPP as a local server, MySQL as a database management system and Unified Modeling Language (UML) is used to design and describe the system. System testing was carried out using the black box method, and validation testing was carried out by two validators. The validation results showed that the first validator gave a score of 4, while the second validator gave a score of 3.6, resulting in an average score of 3.8 which is included in the "Very Feasible" category. In general, the sales information system that has been built is considered feasible to use and can help the sales process effectively and efficiently.Keywords: Rancang Bangun, Media Promosi, Gen Z, Website, PHP, Laravel, Black Box.
INTERPRETASI PERIBAHASA INDONESIA DENGAN METODE PATTREN MATCHING BERBASIS KATA KUNCI yunita, farida; Handayani, Riska Dwi; Mahmudi, Moch Ali
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.v21i2.467

Abstract

Peribahasa Indonesia merupakan bagian tak terpisahkan dari warisan kebudayaan Indonesia yang telah mengakar dalam kehidupan sehari-hari masyarakat dari berbagai suku dan daerah. Dalam era globalisasi dan digitalisasi, terdapat kesenjangan antara kemajuan teknologi dan pelestarian budaya akibatnya pemahaman terhadap peribahasa Indonesia semakin menurun di kalangan masyarakat, yang pada akhirnya dapat mengakibatkan terkikisnya warisan budaya bangsa. Salah satu solusi permasalahan adalah dengan pendekatan Pattern Matching berbasis Kata Kunci. Kata Kunci untuk mencari dan mencocokan kata-kata kunci tertentu yang ada di dalam peribahasa. Pattern Matching memiliki kemampuan mengidentifikasi pola leksikal spesifik, efisiensi dalam memetakan kata kunci ke makna kontekstual, fleksibilitas menangani variasi linguistic dan kesesuaian dengan karakteristik peribahasa yang memiliki kata kunci inti, kemudahan dalam merepresentasikan pengetahuan pakar ke dalam sistem digital. Tujuan penelitian ini adalah mengembangkan algoritma matching yaitu jaccard similarity untuk pencocokan kata kunci setiap peribahasa sehingga peribahsa dapat di interpretasi. Jaccard similarity memiliki tiga tahap, yaitu:input kata kunci, prepossessing dan pattern matching. Hasil penelitan ini dari 30 skenario dari empat kategori kata kunci, akurasi kecocokan kata kunci dengan kata kunci peribahasa 70%, sehingga interpreatsi peribahasa Indonesia dapat dihasilkan.Kata kunci: Sistem Pakar, Peribahasa, Interpretasi, PattrenMatching, Jaccard Similarity.
SENTIMEN ANALISIS ULASAN PENGGUNA GOJEK MENGGUNAKAN ALGORITMA MACHINE LEARNING SUPPORT VECTOR MACHINE Sandiva, Tesa Vausia; Kristiyanto, Arip; Sandi, Leo
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.v21i2.472

Abstract

The development of digital technology has brought significant changes to various sectors of life, including the transportation sector. One popular mode of transportation among the public is online motorcycle taxis, such as Gojek. Gojek continues to innovate to meet customer needs more effectively and expand its service coverage. This study aims to identify the number of positive, neutral, and negative sentiments in a user review dataset, as well as evaluate the performance of the SVM algorithm used. The analysis was conducted on 10,000 customer reviews from the Play Store application, resulting in 2,057 positive sentiments, 1,135 neutral sentiments, and 6,295 negative sentiments. The classification model employed, namely SVM, achieved an accuracy of 89% and an F1-score of 90%.
A COMPARATIVE ANALYSIS OF SIMPLE ADDITIVE WEIGHTING, WEIGHTED PRODUCT, AND SIMPLE MULTI-ATTRIBUTE RATING TECHNIQUES FOR SELECTING TOURIST DESTINATIONS (A CASE STUDY IN MAGELANG REGENCY) Mahasinul Akhlak, Muhammad Lutfi; Ariesta Kusuma, Ahmad Fauzi Anggi; Susilo, Gatot; Arifah, Fatimah Nur
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.v21i2.451

Abstract

The large number of tourist destinations in Magelang Regency forces tourists to choose which destinations they will visit. The numerous criteria in selecting tourist destinations makes it increasingly difficult for tourists to determine which destinations they will visit. Therefore, a decision support system is needed to help tourists more effectively and efficiently in determining which tourist destinations they will visit. This study uses the Weighted Product (WP), Simple Additive Weighting (SAW), and Simple Multi-Attribute Rating Technique (SMART) methods. These three methods are then compared to determine which method is most appropriate. SAW, WP, and SMART produce identical rankings between methods, indicating consistent modeling quality. This consistency strengthens the validity of the decision results. From the comparison between the SAW, WP, and SMART methods, the total percentage of the SAW method is 99.9934%, greater than the WP and SMART methods with a percentage of 99.9933%. This shows that the data structure, criteria weights, and value ranges between alternatives are relatively uniform, so that the linear (SAW), geometric (WP), and utility-based (SMART) methods produce equivalent decision patterns to solve the problem of determining tourist destinations in Magelang
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 Sentimen Masyarakat Terhadap Permasalahan Keracunan Program Makan Bergizi Gratis (MBG) pada Sosial Media ‘X’ Anggraeni, Meita Dwi; Yudiananta, Alfian Chandra; Arifin, Azizah Hasna; Arifin, Wafi
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.v21i2.469

Abstract

The Free Nutritious Meal Program introduced by President-elect Prabowo Subianto has garnered public attention and sparked a variety of responses, both positive and negative. The Free Nutritious Meal Program (MBG) is part of the Indonesian government's policy aimed at improving public nutrition, the welfare of school-going children, and the quality of human resources from an early age. However, during its implementation, several problems have emerged, including cases of food poisoning in several areas. Understanding public perception of these problems is important in order to evaluate the program's success. This study aims to analyze public sentiment towards the MBG program on social media "X" using three algorithms: SVM, K-Nearest Neighbor, and Naive Bayes. Data obtained through the crawling process is then processed with a preprocessing stage and sentiment classification into two categories: positive and negative. The evaluation results show that the Naive Bayes model has a higher accuracy than the other models, namely 86.70% accuracy, 86.10% precision, 86.70% recall, and 83.70% F1 score. The analysis shows that the number of negative sentiments is greater than positive sentiments. The results of this study can be used by the government to improve the socialization and implementation of programs to ensure greater public acceptance, and to emphasize the importance of implementing strict food safety standards, from raw material procurement to processing.
ANALISIS DAMPAK PENGGUNAAN GENERATIVE AI (CHATGPT) TERHADAP INTEGRITAS AKADEMIK MAHASISWA DI PENDIDIKAN TINGGI Parhusip, Jadiaman; Agustin, Olga Noviola; Ferdinand, Bryan Desmonda; Saputra, Rendy; Rangin, Adriel Eleazar
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.v21i2.473

Abstract

The rapid adoption of Generative AI, such as ChatGPT, in higher education has sparked significant debate regarding its impact on academic integrity. This research aims to analyze the ethical and social impacts of using Generative AI on student academic integrity. This study uses the Systematic Literature Review (SLR) method. Literature was searched from databases like Google Scholar and Scopus published between 2022 and 2025. After applying inclusion and exclusion criteria, 10 relevant articles were selected for synthesis. The results identify several key themes: (1) Increased risk of novel forms of plagiarism and academic dishonesty, (2) a potential decline in critical thinking and original writing skills, (3) the urgent need for new institutional policies and ethical guidelines, and (4) the dual role of AI as both a learning aid and a sophisticated cheating tool. This study concludes that while Generative AI offers potential as a learning aid, its unregulated use poses a significant threat to traditional academic integrity.
SISTEM PENDUKUNG KEPUTUSAN UNTUK PEMILIHAN PEMERAN UTAMA DALAM PRODUKSI TEATER BERBASIS SAW Suryadijaya, Dharyana; Fatimah, Fitri; Ramadhani, Sri; Sebayang, Ayu Nuriana
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.v21i2.443

Abstract

Pemilihan pemeran utama dalam produksi teater merupakan proses strategis yang membutuhkan evaluasi objektif terhadap berbagai dimensi performa. Ketidakhadiran sistem penilaian yang terstruktur dapat menimbulkan bias subjektif dan ketidakjelasan dalam pengambilan keputusan. Penelitian ini bertujuan untuk merancang sistem pendukung keputusan menggunakan metode Simple Additive Weighting (SAW) guna menilai dan menentukan pemeran utama secara sistematis. Sepuluh mahasiswa teater mengikuti audisi internal dan dinilai oleh panel menggunakan skala Likert 1–5, yang dikonversi menjadi skala 0–4 untuk menghasilkan nilai kecocokan antara 0,00 hingga 1,00. Lima kriteria utama digunakan: kemampuan akting, penguasaan naskah, ekspresi wajah dan tubuh, pengalaman panggung, serta fleksibilitas karakter. Nilai kecocokan diolah melalui tahapan normalisasi, perkalian bobot, dan penjumlahan skor akhir sesuai prinsip SAW. Hasil menunjukkan bahwa metode SAW mampu menghasilkan peringkat secara transparan dan terukur, serta memberikan dasar kuat bagi keputusan pemilihan pemeran. Pendekatan ini menunjukkan potensi penerapan alat evaluasi berbasis data dalam pendidikan seni pertunjukan.

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