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Doni Abdul Fatah
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Jurusan Teknik Informatika - Fakultas Teknik - Universitas Trunojoyo Madura Jl. Raya Telang PO BOX 2 Kamal, Bangkalan 69162
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INDONESIA
Jurnal Simantec
Published by Universitas Trunojoyo Madura
ISSN : 20882130     EISSN : 25024884     DOI : https://doi.org/10.21107/simantec.v8i2
Core Subject : Science,
Computer Science & IT
Jurnal Simantec merupakan Jurnal Ilmiah dibawah naungan Program Studi Manajemen Informatika, Fakultas Teknik Universitas Trunojoyo Madura. Jurnal Simantec diterbitkan pertama kali pada bulan Desember 2009, dan diterbitkan dua kali dalam setahun. Jurnal Simantec berisi artikel-artikel ilmiah yang meliputi bidang-bidang : informatika, Sistem Informasi, Multimedia, Mekatronika, Jaringan serta hasil penelitian lainya yang terkait dengan bidang-bidang tersebut.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 202 Documents
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IMPLEMENTASI METODE LONG SHORT TERM MEMORY UNTUK PERAMALAN PERTUMBUHAN JUMLAH UMKM Herawati, Sri; Prastiti, Novi
Jurnal Simantec Vol 12, No 2 (2024): Jurnal Simantec Juni 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v12i2.28929

Abstract

Usaha Kecil Mikro dan Menengah (UMKM) berperan penting dalam pertumbuhan perekonomian suatu daerah.  Perkembangan UMKM khususnya di Madura cukup baik yang didukung dengan adanya jembatan Suramadu. UMKM menjadi salah satu solusi dan pendorong kondisi perekonomian yang lebih stabil. UMKM memiliki potensi besar untuk meningkatkan kesejahteraan masyarakat. UMKM ini memiliki hubungan yang erat dengan ekonomi kreatif. Saat ini, pelaku usaha dituntut untuk lebih kreatif dan inovatif dalam pengembangan usahanya, baik dari segi produk, pemasaran, distribusi, maupun sistem lainnya Sehingga, penelitian ini mencoba  melakukan peramalan tingkat pertumbuhan ekonomi kreatif di Madura. Peramalan  dapat memantau fluktuasi pertumbuhan ekonomi kreatif suatu daerah yang berdampak pada pertumbuhan ekonomi daerah. Penelitian ini menggunakan metode Long Short-Term Memory (LSTM) untuk prediksi jumlah UMKM. Hasil dari peramalan ini adalah nilai MAPE terbaik yaitu 0,0184 % didapatkan dari kombinasi parameter epochs 500, batch size 4, dan neuron hidden 30, serta dengan learning rate 0,1 dan pembagian data training : data testing yaitu 70 % : 30 %. Kesimpulan yang didapatkan adalah peramalan Jumlah UMKM dengan metode Long Short-Term Memory mempunyai kinerja bagus karena nilai MAPE berada di bawah 10%.Kata kunci: Peramalan, Long Short Term Memory (LSTM), Usaha Kecil Mikro dan Menengah (UMKM).
EVALUASI KEPUASAN PENGGUNA TERHADAP KUALITAS WEBSITE DENGAN PENDEKATAN WEBQUAL 4.0 DAN EUCS PADA RADARSIDOARJO.COM Pribadi, Teguh; Abidin, Mochammad Syahrul; Kustiyahningsih, Yeni
Jurnal Simantec Vol 12, No 2 (2024): Jurnal Simantec Juni 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v12i2.23320

Abstract

Penelitian ini akan mendorong kepuasan pengguna dalam hal kualitas website RadarSidoarjo.com dengan menggunakan pendekatan dengan WebQual 4.0 dan EUCS. Tahapan penelitian terdiri dari identifikasi masalah, penyusunan instrumen penelitian berupa kuesioner, pengumpulan data dari pengguna situs. Instrumen penelitian ini terdiri dari empat aspek yaitu usability (kemudahan penggunaan), information quality (kualitas informasi), service interaction quality (kualitas interaksi layanan), dan ketepatan waktu penyelesaian pekerjaan (timeliness). Proses pengujian terdiri dari analisis data, dengan bantuan software SmartPLS 4.0, dalam dua tahap yaitu analisis model pengukuran, atau disebut outer model, yang berarti pengujian reliabilitas dan validitas instrumen, dan analisis model struktural, atau inner model yang berarti pengujian hubungan antar variabel. Hasil analisis outer model menunjukkan bahwa validitas dan reliabilitas untuk semua indikator baik, dengan nilai Composite Reliability untuk setiap variabel lebih dari 70%. Pada analisis inner model, variabel yang paling besar pengaruhnya terhadap kepuasan pengguna adalah variabel ketepatan waktu sebesar 39,4%, diikuti oleh variabel kegunaan sebesar 18,3%, kualitas informasi sebesar 23,5%, dan kualitas interaksi layanan sebesar 15,6%. Hal ini juga membuktikan bahwa waktu penyegaran informasi merupakan faktor terpenting yang menentukan kepuasan pengguna pada situs web RadarSidoarjo.com. Pengelola situs disarankan untuk lebih meningkatkan frekuensi penyegaran informasi dan mempermudah penggunaan situs. Semoga penelitian ini dapat menjadi acuan untuk penelitian selanjutnya tentang pengembangan kualitas situs web media daring.Kata kunci: EUCS, Kepuasan Pengguna, Kualitas Website, WebQual 4.0
Web-based employee reward determination system using Analytical Hierarchy Process (AHP) Maulana, Muhammad Fajar; Sumardiono, Sumardiono
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025 (Article in Progress)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.30276

Abstract

This study develops a web-based employee performance evaluation system using the Analytical Hierarchy Process (AHP) method to overcome the problem of inaccuracy and unfairness in reward giving at PT Transcosmos Commerce. The system is designed using an Agile approach with the Django framework and SQLite database. The AHP method is applied to calculate the weight of the assessment criteria (discipline, responsibility, productivity, work quality, and cooperation) through pairwise comparisons, resulting in a consistency ratio (CR) value of 0.08 less than 0.1, which indicates acceptable consistency. The results of the AHP calculation show that the highest criterion weight is Productivity (0.32), followed by Work Quality (0.25), Responsibility (0.18), Cooperation (0.15), and Discipline (0.10). The final employee score is obtained by combining the criteria weight and alternative values, with the highest scores obtained by employees A1 (Dani) of 0.42, A2 (Farhan) of 0.35, and A3 (Freya) of 0.23. System testing has proven an increase in evaluation time efficiency of 60 percent compared to manual methods, as well as reducing the subjectivity of assessments. The system also provides visualization of results in the form of graphs and automatic reports, facilitating managerial decision-making.Keywords: AHP, criteria weighting, evaluation of performence, employee reward, Web Based System.
Decision support system for superior livestock commodities in North Central Timor using Fuzzy Topsis method Taek, Sisilia Novita Aryenny; Kelen, Yoseph Pius Kurniawan; Tey seran, Krisantus Junarto
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025 (Article in Progress)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.30059

Abstract

The livestock sector plays a crucial role in supporting regional economic development, including in North Central Timor (TTU) Regency, East Nusa Tenggara. Currently, the selection of superior livestock commodities in this area is still carried out manually, which results in slow, inefficient, and error-prone decision-making processes. Therefore, a system is needed to assist in making decisions more accurately and objectively. This study aims to develop a web-based Decision Support System (DSS) to analyze and determine superior livestock commodities in TTU Regency using the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) method. The system was developed using the Waterfall model and implemented with PHP and MySQL. The decision criteria include productivity, market potential, production cost, environmental sustainability, and infrastructure support. The livestock alternatives considered in the analysis are cattle, goats, pigs, chickens, sheep, and horses. The implementation results show that beef cattle achieved the highest preference score of 0.76, making it the most superior livestock commodity in the region. This system provides easy access to accurate and real-time data for users and facilitates more effective and efficient decision-making. It also minimizes human error and speeds up the analysis process. With this system, stakeholders and livestock-related agencies can make better-informed decisions, improve resource management, and support sustainable development in the local livestock sector.Keywords: Decision Support System, Leading Commodities, Livestock, Fuzzy TOPSIS
Penerapan analisis sentimen opini masyarakat terhadap ulasan aplikasi Grab pada google play store menggunakan Algoritma Naive Bayes Zadia, Bella Audrey; Lailiyah, Siti; Bustomi, Tommy
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025 (Article in Progress)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29886

Abstract

This study aims to analyze public sentiment regarding reviews of the Grab application on the Google Play Store using the Multinomial Naive Bayes algorithm. The research process follows the KDD stages, starting from data selection, pre-processing, sentiment labeling, dataset splitting, model training, to performance evaluation. A total of 5,000 review data were collected through web scraping techniques and processed step by step using cleaning, normalization, tokenizing, stopword removal, and stemming methods. The developed Multinomial Naive Bayes model was able to classify review sentiments into positive, negative, and neutral categories with an accuracy of 69.6%. Precision and recall for negative and positive sentiments are relatively high, but the performance for neutral sentiment remains low due to imbalanced data distribution. The results of this study provide valuable insights for Grab developers to understand user perceptions and can serve as a basis for strategic decision-making to improve application service quality. Thus, Multinomial Naive Bayes has proven to be effective and efficient for sentiment analysis of Grab app reviews on the Google Play Store.Keywords: Sentiment Analysis, Multinomial Naive Bayes, Grab, Google Play Store, KDD
Decision support system for selecting the best pesticide to eradicate pests on bean plants applying the Multi Attribute Utility Theory (MAUT) Approach Ili Sama, Meliana; Kelen, Yoseph Pius Kurniawan; Gelu, Leonard Peter; S. Manek, Siprianus
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025 (Article in Progress)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29954

Abstract

The selection of the right pesticide is very important in pest control efforts on bean plants to maximize yields and maintain crop quality. Often, farmers face a mismatch between expectations and reality related to the products they use. The market offers a wide range of pesticide products, each claiming to have certain advantages. Mismatches in pesticide selection can affect the yields obtained by farmers. This study aims to provide insight to farmers in choosing the best pesticide to control pests on bean plants. this study relies based on the Multi Attribute Utility Theory (MAUT) method as a means to weigh various options based on various aspects in a structured manner. to assess each criterion from various alternatives and provide a ranking of the best pesticide recommendations. The criteria considered include price, how it works, shelf life, number of pests, and its impact on bean plants. The application developed uses the PHP and MySQL programming languages. Based on the results of the study, the alternative pesticide Spinosad obtained the highest score of 0.85, making it the best recommendation.Keywords: Pesticide selection, Decision Support System (DSS), MAUT
Penerapan teknologi blockchain berbasis smart contract untuk meningkatkan keamanan transaksi finansial online Wirayuda, Steven Aprianto; Lailiyah, Siti; Fajri, Ahmad
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025 (Article in Progress)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29893

Abstract

The digital transformation in the financial sector demands a transaction system that is not only fast and efficient but also secure and transparent. This study explores the application of blockchain technology as a solution to the problems found in centralized online financial transaction systems that are vulnerable to manipulation. The objective of this research is to design a blockchain-based financial transaction security system architecture that can be evaluated through a conceptual simulation approach. This study uses a descriptive qualitative method with tools such as Ganache, MetaMask, and Remix IDE to simulate smart contract-based transactions within a local blockchain environment. The novelty of this research lies in the integration of a security system modeling approach with realistic scenario-based simulations, which is rarely discussed in previous studies. The research contributes by producing a modular system architecture that integrates key components—users, smart contracts, validators, and regulators—into a cohesive workflow applicable to various digital financial platforms. Simulation results show that the proposed system enhances security, accelerates transaction validation, strengthens auditability, and reduces operational costs compared to conventional transaction systems. This study provides a strong foundation for the broader development of blockchain-based financial systems that are more resistant to external attacks.Keywords: System Architecture, Blockchain, Transaction Security, Smart Contract, Simulation
Expert system diagnoses skin diseases using web-based Forward Chaining method Taena, Ignasia Wanty; kelen, Yoseph pius kurniawan; Ludji, Dian Grace
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025 (Article in Progress)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29955

Abstract

The skin is an essential part of the human body that plays a role in protection, temperature regulation, and sensation. Maintaining skin health is crucial because skin infections can arise from bacteria, viruses, fungi, and parasites, and often spread through direct contact. Environmental factors, such as the availability of clean water, are among the main causes of skin diseases. Unfortunately, many people consider skin diseases to be trivial, whereas if left untreated, these conditions can become fatal. A lack of understanding and information often leads to delayed treatment.To address this issue, an expert system has been developed to enable early diagnosis of skin diseases. This system uses the forward chaining method, an approach that starts from initial facts and moves toward a conclusion through a structured series of questions. One of the advantages of this method is its ability to process limited data into useful and accurate information. The expert system is designed as a web-based application to ensure broader public access.The diseases that can be diagnosed include ringworm, tinea versicolor, scabies, chickenpox, boils, dermatitis, rhinitis, and urticaria. This system is expected to help the public in recognizing symptoms of skin diseases and provide early support before consulting a doctor. Based on previous research, the lack of disease and symptom data was a challenge. Therefore, this study added 15 types of skin diseases and 20 symptom data points.For future development or further research, it is recommended to expand the system with more types of diseases, different diagnostic methods, and additional features to improve accuracy and user-friendliness in diagnosing skin diseases. Test data from 30 users showed a 90% accuracy rate, indicating that the expert system successfully helps users and provides solutions.Keywords: Expert System, Forward Chaining, Skin Disease, Early Diagnosis dini, Web
Sistem pendukung keputusan pemilihan tanaman pangan berbasis web dengan Fuzzy Weighted Product Naisali, Aldegunda; Kelen, Yoseph Pius Kurniawan; Syarifuddin, Risald; Grace Ludji, Dian
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025 (Article in Progress)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29958

Abstract

The selection of food crops in North Central Timor Regency is based on individual experience and unstructured and unsystematic information. This process is subjective, depending on the experience or habits of farmers without the support of objective data analysis. This makes decision-making in determining the type of food crop less precise, and can hinder agricultural productivity. This study aims to build a web-based decision support system (DSS) that helps select the most appropriate food crops based on various criteria and alternatives. The system is developed using the Fuzzy Multi Attribute Decision Making (FMADM) and Weighted Product (WP) methods that handle uncertainty in evaluation and weighting. Fuzzy is used to accommodate linguistic qualitative data such as “sufficient”, “good”, or “very good”, reflecting real conditions in the field. Meanwhile, the Weighted Product method calculates the final score of each crop alternative based on the attribute value and weight of each criterion. The criteria in this system include planting area, harvested area, productivity, production, soil type, and market demand. This study aims to develop a web-based decision support system that provides recommendations for selecting the best food crops. This system is designed with an easy-to-use interface, and can be accessed online by farmers, extension workers, and policy makers. In this system, a fuzzy and weighted product approach is used to manage uncertainty in the assessment and produce objective crop rankings. The implementation results show that lowland rice plants get the highest score, which is 0.232977225 compared to other alternatives. This value indicates the highest level of feasibility of all the alternative crops analyzed, so lowland rice is the most recommended choice. This system is able to provide fast, data-based recommendations.Keywords: Fuzzy, Decision Support System, Food Crops, Weighted product, Web
Web-based decision support system for boarding house selection according to preferences in Kefamenanu (BTN) area using Tsukamoto Fuzzy Logic Method Chandra, Rudy; Kelen, yoseph Pius Kurniawan; Manek, Patricia Gedrudis; Septian Manek, Siprianus
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025 (Article in Progress)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29719

Abstract

The problem in searching for boarding houses in the Kefamenanu (BTN) area is the many choices with different variations in price, facilities, distance, and comfort levels, making it difficult for prospective residents to determine a boarding house that suits their personal preferences. This study aims to build a web-based decision-making system that can help users choose a boarding house according to their interests quickly and accurately. The method used is the Tsukamoto Fuzzy Logic method, which is able to accommodate uncertainty and subjectivity in the assessment process of boarding house selection criteria. The system is designed with several fuzzy variables such as price, distance, facilities, and comfort, which are processed through fuzzy rules in the form of IF-THEN to produce the best boarding house recommendations. The novelty of this study lies in the application of the Tsukamoto method in the context of selecting boarding houses in Kefamenanu, which has not previously been widely developed using a fuzzy logic approach. The contribution of this study is to produce a web-based platform that is able to accelerate the process of searching for boarding houses that suit user needs, while increasing accuracy and satisfaction in decision making. The results of the study showed that the system was able to recommend boarding house options with a level of user preference matching reaching 90%, based on the results of trials on 30 respondents in the BTN Kefamenanu area.Keywords: Web-Based Application, Fuzzy Logic, Tsukamoto Method, Boarding House Selection, Decision Support System

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