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Journal : Jurnal Simantec

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
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
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
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN MITRA JASA PENGIRIMAN BARANG PADA CABANG KEFAMENANU DENGAN METODE MULTI ATTRIBUTE UTILITY THEORY (MAUT) Tae, Margaretha; Kelen, Yoseph Pius Kurniawan; Bobu, Fetronela Rambu
Jurnal Simantec Vol 13, No 2 (2025): Jurnal Simantec Juni 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i2.29617

Abstract

Shipping is the process of transporting goods from producers to consumers. Most goods will be shipped through a cargo transportation network (physical goods) delivered by land, sea and air. The increasing number of internet users among the public encourages more people to ship goods online. The many choices of shipping services available often cause confusion and obstacles for the public in determining the best service according to their needs, both in terms of cost, delivery time, type of payment and shipping costs. To avoid existing problems, a decision support system is needed that can make it easier for the public to make the right decision in choosing a shipping service partner. The Decision Support System (DSS) for selecting a shipping service partner at the Kefamenanu branch aims to help the public make more precise and efficient decisions in choosing a shipping partner. The method used in this study is the Multi Attribute Utility Theory (MAUT), which allows comparison of various important criteria in selecting a delivery partner. The decision-making process is carried out by assessing each alternative delivery partner based on the weight of the previously determined criteria. Each partner is then given a score for each criterion, which is then calculated using the maut method to produce a final score with the highest score from each alternative. The results of this system are able to provide the best recommendations in selecting delivery services objectively. That way, the Kefamenanu community can make wiser decisions. The implementation of this SPK can improve operational efficiency and community satisfaction, as well as reduce errors in decision making. Thus, this system can help the community to improve the performance of goods delivery at the Kefamenanu branch.Keywords: Delivery of Goods, Decision Support System (DSS), Kefamenanu Community, Maut, Performance
Co-Authors Abi, Maria Oktavian ALBERTIANA FANU Alberto Fransisko M.L. Nahas Alfonsus Jefri Oematan Amaral, Krispina Madeira Amaral Amsikan, Dionisius K. Anastasia K. D Lestari Anastasia K.D. Lestari Anastasia Kadek Dety Lestari Anastasia Kadek Dety Lestari Anatasia Kadek Dety Lestari Ansedelita Bete Antonius Lake Anunut, Anna Asthy, Agustina Tamo Ina Bili Avin Nahak Bana, Yoseph Arianto Bano, Elinora N. Barreto, Julio Baso, Budiman Bere, Mery Ernawati Bernadeta Novia W. R. Mau Bone, Leonardus Bria, Laurensa L Chrisinta, Debora Claudensi Maria Muinnesu Cristin Tidja Y. Bas Darsono Nababan Deda, Yohanis Ndapa Dewi Kristiani Asuat Dian Grace Ludji Dionisius K. Amsikan Dionisius Oktavianus Klau Efren Primus Nahak Egas De Jesus Martins Corbafo Eko, Margaretha Amilia Miranti Eli , Maria Yuliana Elisabeth Glodia Isulti Usfinit Elsa M. Benolon Emanuel Yohanes Meol Eugenius Charles Odja Fabiana Kaunan Fallo, Kristoforus Fallo, Kritoforus Faustianus Luan Fetronela Rambu Bobu Firma Maria O Luan Florensia Seran Florida Telik Fouk, Fransiska Seuk Fransiskus Xaverio Tonbesi Gelu , Leonard Peter Gelu, Leonard Peter Gelu, Leonard Peter Gervaisus Kono Godeliva Dos Santos Pakaenoni Godifridus Metboki Grace Ludji, Dian Haryati Herewila, Nadia Esli Hevi Herlina Ullu Ili Sama, Meliana Isto, Kristoforus Boik Tani'i Jekrit Rinto Tefi Jeli, Jeli Maria Fatima Kolo Jeri Aurelianus Sede Kabut, Stefanus Kapitan, Febiana F. T. Kapitan Kehik, Maria Cristalina M.D. Knaofmone, Maria Letitia Kolne, Maria Adventina Kolo, Klaudia Selina Kolo, Yesualda Rogeria Kosat, Arnoldus Yanssen Kosat, Arsen Kresensia Nesi Krisantus J.Tey Seran Krispina Anin Kristoforus Fallo Lake, Delviana Lay Berek, Gloria Elisabeth Lay, Febryona Leonard P Gellu Leonard P. Gelu Leonard P. Gelu Leonard Peter Gellu Leonard Piter Gelu Lestari, Anastasia K D Lestari, Anastasia K.D Lestari, Anastasia K.D. Lestari, Anastasia Kadek Dety Lidia Lestari Kitu Manu Lidwina Sriwidya Lafu Liu, Yovita Liunokas, Ebenhaiser Lopo, Ani Luan, Faustianus Lusi Asameta Lusianus Bala Mada, Grandianus Seda Mammi Sarlota Bana Manek, Patricia Gedrudis Manek, Patricia Gertrudis Manek, Siprianus Manek, Siprianus S. Maneno, Regolinda Manhitu, Emerensiana Okan Margaretha Baria Maria Agusta Nining Fallo Maria Erlina Naben Maria Grasela Tatuin Maria Grestiana Sani Maria Ilona Silab Maria Imaculata Anu Turu Maria Krisanti Toinjaas Maria Lina Keban Maria Marli Natonis Maria Millenia Pina Lewuk Maria Nathania Bele Bau Maria Sisilia Luruk Nahak Maria Yuliana Eli Marina Dianti Kening Salu Marjeni Liana Nino Marni Coriani Bria Mau, Lidia Marselina Mayela Wete Melkianus Y.M. Ufa Mirja Hoar Moensaku, Emanuel Nababan, Darsono Nahak, Gilvino Nahak, Maria Selviyanti H Nahak, Roswita R.K. Naihely, Stefanus Apriyanto Naisali, Aldegunda Natalia Karmila Ketmoen Neakleu, Febronius Nenat, Agustinus Ardiyanto Nesi, Kresensia nggadas, carles Nikolas Abi Ninfa Neno Nule, Maria Graciana Yosri Nurliah Apryanti Oktavia Prima Bili Oktovianus Mamoh Oktovianus R. Sikas Omenu, Maria S.S Omenu, Yustina Maria Balok Painneon, Angela Hendrika Paskalis Mau Seran Patricia Gertrudis M anek Patricia Gertrudis Manek Pricilia D A Centhya Nahak Prima Mersi Angela Klaran Priska Maria Cicilia Amleni Reinhard Midian Duri Renaldi Y. Kolloh Risald Rizald Rojari, Fatima Romal Frengki Prima Manafe Roni Dedi Selan Rudy Chandra S Manek, Siprianus S. Manek, Siprianus S.Manek, Siprianus Selestina Nahak Seprianus Septian Manek Septian Manek, Siprianus Seran, Bruno Fransiskus seran, yuvenalis severinus ponis Sikas, Oktovianus R. Siprianus S Manek Siprianus S Manek Siprianus S. Manek Siprianus S. Manek Siprianus S.Manek Siprianus Septian Manek Stefania Y. Nule Stefanus Lau Manek Stefanus Manek Suni, Vebrianus Suni, Yohanes George Deridwan Susu, Yublina Rambuhana Sutal, Dominika Muti SYAHYADI, ASEP INDRA Syarifuddin, Risald Tae, Margaretha Taek, Sisilia Novita Aryenny Taena, Ignasia Wanty Tahun, Ardy Imanuel Taitoh, Rosalinda Hoar Tey Seran, Krisantus Jumarto Tey seran, Krisantus Junarto Thomas Nelson Kolo Uky, Nini Trifena Ullu, Hevi Herlina Usfinit, Katarina D.M Usnaat, Sonya Oktavia Valerianus Naat Victoria Nova Naiheli Wilfrida Tnomel Willy Sucipto Willy Sucipto Willy Sucipto Yasinta O.L Rema Yasintha O.L Rema Yayu Ulfaningsi Subagio Yeni M Kabnani Yeni Yovita Seuk Yeremia, Elfira Yesualda Rogeria Kolo Yohana Niis Molo Yohanes D B Pay Yohanes D. B Pay Yudit Oviana Berek Yuliana A.T Naitkakin Yulsiani Sanam