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All Journal Jurnal Teknologi Dan Industri Pangan Jurnal Ilmu dan Teknologi Kelautan Tropis Jurnal Sain Veteriner Jurnal Ilmu Pertanian Indonesian Journal of Electronics and Instrumentation Systems IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Pangan dan Gizi Dinamik Media Informatika Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Bahtera - Jurnal Pendidikan Bahasa dan Sastra Indonesia Jurnal Ilmu Komputer Jurnal Veteriner Jurnal Sosial Ekonomi Pesisir Jurnal EMPATI Journal of Tropical Soils Cropsaver : Journal of Plant Protection Otopro Sains Tanah Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Penelitian Pascapanen Pertanian Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat AGRIVITA, Journal of Agricultural Science Pro Bisnis Indonesian Journal of Biotechnology Jurnal Varidika Biopropal Industri Jurnal Didascein Bahasa JITEK (Jurnal Ilmiah Teknosains) Jurnal Ilmu Pangan dan Hasil Pertanian BIOEDUSCIENCE JURNAL BAHASA, SASTRA DAN PEMBELAJARANNYA Jurnal Kimia Terapan Indonesia Pendas : Jurnah Ilmiah Pendidikan Dasar JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI ADMINISTRASI PUBLIK AGROSAINSTEK: Jurnal Ilmu dan Teknologi Pertanian Jurnal Pembahsi (Pembelajaran Bahasa Dan Sastra Indonesia) Jurnal ACSY : Jurnal Accounting Politeknik Sekayu JURNAL PENDIDIKAN TAMBUSAI Jurnal Ilmu Peternakan dan Veteriner Tropis (Journal of Tropical Animal and Veterinary Sciences) IJID (International Journal on Informatics for Development) Andragogi: Jurnal Diklat Teknis Pendidikan dan Keagamaan Jurnal Cendikia jurnal Ilmu Pertanian (Agricultural Science) Jurnal Ilmiah Inovasi Menara Ilmu Golden Age: Jurnal Ilmiah Tumbuh Kembang Anak Usia Dini Social, Humanities, and Educational Studies (SHEs): Conference Series Al-Insyirah Midwifery : Jurnal Ilmu Kebidanan (Journal of Midwifery Sciences) Jurnal Teknik Mesin Cakram Jurnal Equation: Teori dan Penelitian Pendidikan Matematika Cendekiawan PRIMA: Journal of Community Empowering and Services Jurnal Ilmu Pemerintahan Suara Khatulistiwa Jurnal EK dan BI Planta Simbiosa : Jurnal Tanaman Pangan dan Hortikultura JURNAL ILMIAH AGRINECA Edudikara: Jurnal Pendidikan dan Pembelajaran Al-Ulum: Jurnal Pendidikan Islam PrimEarly : Jurnal Kajian Pendidikan Dasar dan Anak Usia Dini (Journal of Primary and Early Childhood Education Studies Jurnal Minda Teknik: Jurnal Ilmu Teknik dan Informatika An-Nahdlah: Jurnal Pendidikan Islam Majalah Ilmiah Manajemen dan Bisnis Kresna: Jurnal Riset dan Pengabdian Masyarakat Jurnal Kolaboratif Sains Jurnal Media Akuntansi (MEDIASI) SRIWIJAYA JOURNAL OF ENVIRONMENT Idarah Tarbawiyah: Journal of Management in Islamic Education Al-Ulum: Jurnal Pendidikan Islam Lentera Perawat Edu Society: Jurnal Pendidikan, Ilmu Sosial dan Pengabdian Kepada Masyarakat Jurnal Riset sosial humaniora, dan Pendidikan (Soshumdik) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Manajerial Bisnis Diadik: Jurnal Ilmiah Teknologi Pendidikan Jurnal Psikologi Universitas Gadjah Mada Jurnal Pengabdian Masyarakat Waradin Jurnal Manajemen Bisnis Kewirausahaan International Journal of Educational Research Excellence (IJERE) Dewantara: Jurnal Pendidikan Sosial Humaniora Jurnal Pengabdian Kepada Masyarakat Jurnal Keperawatan 'Aisyiyah Jurnal Sistem Informasi Mahakarya (JSIM) Gunung Djati Conference Series Jurnal Kedokteran Hewan Jurnal Bintang Pendidikan Indonesia Civitas Consecratio: Journal of Community Service and Empowerment Jurnal Riset Manajemen dan Ekonomi Gudang Jurnal Multidisiplin Ilmu Jurnal Kampus STIKes YPIB Majalengka AmaNU: Jurnal Manajemen dan Ekonomi Oshada Jurnal Ilmiah Kesehatan Pernus Ulumul Syar’i : Jurnal Ilmu-Ilmu Hukum dan Syariah JABI: Jurnal Abdimas Bhakti Indonesia Jurnal Pengabdian Mitra Persada PESHUM
Sri Hartati
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Journal : IJCCS (Indonesian Journal of Computing and Cybernetics Systems)

 1 
Utilizing Soft Computing for Determining Protein Deficiency Sri Hartati; Sri Nurdiati
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 5, No 1 (2011): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.1996

Abstract

Abstract— In recent years, the occurrence of protein shortage of children under 5 years old in many poor area has dramatically increased. Since this situation can cause serious problem to children like a delay in their growth, delay in their development and also disfigurement, disability, dependency, the early diagnose of protein shortage is vital. Many applications have been developed in performing disease detection such as an expert system for diagnosing diabetics and artificial neural network (ANN) applications for diagnosing breast cancer, acidosis diseases, and lung cancer. This paper is mainly focusing on the development of protein shortage disease diagnosing application using Backpropagation Neural Network (BPNN) technique. It covers two classes of protein shortage that are Heavy Protein Deficiency. On top of this, a BPNN model is constructed based on result analysis of the training and testing from the developed application. The model has been successfully tested using new data set. It shows that the BPNN is able to early diagnose heavy protein deficiency accurately. Keywords— Artificial Neural Network, Backpropagation Neural Network, Protein Deficiency.
Text Document Retrieval In English Using Keywords of Indonesian Dictionary Based Jati Sasongko Wibowo; Sri Hartati
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 5, No 1 (2011): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.1999

Abstract

Abstract— Cross language information regtrieval at the present moment is crucial to the amount of available information use the language variety. Mean while the user who have mastering another language is very less. So with the appointment system of cross language information retrieval is expected.Information retrieval applications on this system to search for text documents in English using keyword of Indonesian dictionary-based. This system was built by several stages starting from collection of documents data by using crawler, entering documents data into a corpus table, punctuation removal, tokenization of documents, stopword removal and term weighting.The ability of this system can add documents data, dictionaries data and stopword data. It is enable to retrieval text documents in English that contains keyword of Indonesian with dictionary-based. Results of documents retrieval was ranked based on the calculation of term weights. Able to see the contents of the document and open the original document. The development of this system can be used as a cross language information retrieval system on dictionary based.Keywords— retrieval information, dictionary based, cross language.
Aplikasi Sistem Pendukung Keputusan Distribusi Air Bersih dengan Fuzzy Integer Transportation Aridhanyati Arifin; Sri Hartati
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 5, No 2 (2011): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.2012

Abstract

Abstrak— Kebutuhan air bersih di kota-kota berkategori urban semakin lama semakin meningkat, sementara produktivitas air menurun disebabkan oleh berbagai alasan. Persoalan yang harus dipecahkan adalah bagaimana agar distribusi air ke tujuan berjalan secara simultan, yakni antara supply air dengan demand pelanggan ditengah minimnya anggaran biaya. Perlu dicari keputusan bagi perencanaan distribusi yang baik untuk mengalokasikan air, dari sejumlah sumber air  menuju sejumlah tujuan (kota). Oleh karena itu, diperlukan sistem terkomputerisasi yang memiliki kemampuan dalam memberikan dukungan untuk pengambilan keputusan, maka perlu dirancang suatu sistem pendukung keputusan (SPK) yang dapat membantu manajemen distribusi air bersih. SPK ini mengimplementasikan Fuzzy Integer Transportation  dengan nilai fuzzy supply, fuzzy demand dan fuzzy goal yang diekspresikan melalui bilangan fuzzy. Tabel transportasi dipakai untuk mempermudah pemodelan nilai supply dan demand yang ber-interval. Sebuah algoritma khusus digunakan agar dapat menghasilkan solusi integer yang optimal sehingga dapat meningkatkan efisiensi pencarian. Selain itu pemecahan masalah distribusi ini memakai pendekatan Vogel’s Approximation Method (VAM), memberikan solusi yang feasible bagi total biaya distribusi. Output sistem adalah total biaya distribusi dan jumlah air yang didistribusikan ke masing-masing tujuan.  Kata Kunci—       Sistem Pendukung Keputusan, Fuzzy Integer Transportation, VAM
Sistem Pendukung Keputusan Klinis dengan Memanfaatkan Jaringan Syaraf Tiruan Untuk Mendeteksi Stadium Penderita Kanker Paru-Paru Jenis Karsinoma Bukan Sel Kecil Rio Kurniawan; Sri Hartati
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 5, No 2 (2011): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.2016

Abstract

Abstract-- Lung cancer is leading cause of death in the cancer group. In general, lung cancer has some symptoms, but at an early stage, symptoms are not perceived by the patient. As a result, when patients go to hospital, lung cancer has been diagnosed in middle or high stage. For early detection of lung cancer, necessary a decision support system based on computerized technology that can be utilized by doctor needed to detection lung cancer. The clinical decision support system will help to determine specific medical treatment. The clinical decision support system capable to know data input and produce output result by learning process. The learning process is  part of process in artificial neural network (ANN). Many methods used in ANN as Backpropagation (BP)learning algorithm. BP used to produce output result in decision support system. Keywords-- lung cancer, stage, clinical decision support systems, neural network, multilayer perceptron, backpropagation algorithm
Sistem Pendukung Keputusan Pengalokasian Spare Part Rita Wiryasaputra; Sri Hartati
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 6, No 1 (2012): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.2037

Abstract

AbstrakEra informasi yang semakin berkembang mempengaruhi lingkungan bisnis. Pengaruhnya dapat dilihat pada proses pengambilan keputusan. Proses pengambilan keputusan terhadap sejumlah alternatif dan sejumlah tujuan diselesaikan dengan sebuah sistem. Sistem  yang bermodelkan Multi Attribute Decision Making (MADM) dan Multi Objective Decision Making (MODM). Model MODM digunakan untuk menyelesaikan perancangan alternatif terbaik dan model MADM digunakan untuk menyelesaikan penyeleksian terhadap beberapa alternatif dalam jumlah yang terbatas. Salah satu pendekatan model MADM adalah TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). Konsep utama TOPSIS adalah alternatif preferensi terbaik memiliki jarak terpendek dari solusi ideal positif dan memiliki jarak terjauh dari solusi ideal negatif. Hasil metode TOPSIS adalah perankingan terhadap sejumlah alternatif. Salah satu masukan dari metode TOPSIS adalah nilai pembobotan kriteria. Nilai pembobotan kriteria dapat diberikan secara langsung oleh pengambil keputusan atau dihitung melalui sebuah metode. Penelitian akan menghitung nilai pembobotan kriteria dengan metode Entropy. Tujuannya adalah untuk memberikan objektifitas pembobotan kriteria. Penelitian mengangkat kasus tentang pengalokasian spare part ke sejumlah store. Alternatif terbaik dengan sumber daya yang terbatas, beberapa tujuan yang saling bertentangan didekati dengan metode Goal programming. Pengambilan keputusan akan lebih terarah karena sistem menghasilkan perankingan store spare part, dan menampilkan  informasi alokasi spare part.  Kata kunci— Sistem Pendukung Keputusan, Entropy, TOPSIS, Goal Programming AbstractThe capabilities of computrized systems facilitate decision support in a number of ways, such as speed computations, increased productivity ,improved data management and others. Decisions are often made by individuals. There may be conflicting objectives even for a  decision maker. The conflicting objectives can be solved by goal programming. Research of spare part allocation focuses on an individual decision maker and presents the solving problem with Multiple Criteria Decision Making (MCDM). A lot of MCDM approaches have been developed and applied to diverse fields, like engineering, management, economic, etc. As one of the known classical MCDM approaches, TOPSIS method is known to be a common method to get the preliminary outcome.  The main concept of TOPSIS is the best alternative has the shortest distance from the positive ideal solution and has the longest distance from the negative ideal solution.  Before the stores are ranked with TOPIS method, the management assigned a weightage to each store using Entropy method.  Keywords— Decision Support Model, Entropy, TOPSIS, Goal Programming.
Sistem Pendukung Keputusan Model Fuzzy AHP Dalam Pemilihan Kualitas Perdagangan Batu Mulia Sri Wahyuni; Sri Hartati
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 6, No 1 (2012): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.2140

Abstract

AbstrakPemilihan kualitas batu mulia membutuhkan kemampuan khusus untuk memilih dan menilai kualitas batu mulia yang akan diperdagangkan. Keberagaman jenis batu mulia dan konsumen menjadi kendala tersendiri ketika pengetahuan dan kemampuan individu dalam menganalisis kualitas batu mulia sangatlah minim.Penelitian ini menggunakan metode kuantitatif dengan menggunakan model Fuzzy AHP. Pengumpulan data dilakukan dengan cara konsultasi dengan Direktur Kantor Pusat Promosi Batu Mulia Indonesia GEM-AFIA GROUP  di Bandung sehingga dihasilkan kriteria-kriteria terbaik dalam pemilihan kualitas perdagangan batu mulia. Kriteria-kriteria tersebut kemudian disusun berdasarkan literatur, observasi dan wawancara, selanjutnya diberi penilaian perbandingan berpasangan dengan AHP untuk mencari bobot informasional dan menggunakan TFN untuk mencari upper excepted value.Hasil yang didapat dengan menggunaan model Fuzzy AHP dalam pemilihan kualitas perdagangan batu mulia menunjukkan bahwa kriteria berat jenis, warna, kekerasan, pemotongan, dan kejernihan merupakan kriteria utama dalam pemilihan kualitas perdagangan batu mulia. Fuzzy AHP dalam penilaian tingkat kosistensi dilakukan pada level struktur hierarki dan mampu mengakomodir ketidak konsistenan dalam penilaian. Kata kunci—AHP (Analysis Hierarchy Process), Fuzzy AHP, TFN (Triangular Fuzzy Number), upper eecepted upper. AbstractThe selection process of Precious stone quality requires particular ability in selecting and assessing the quality of traded Precious stones . The diversity types of Precious stoneand consumers in choosing it become an obstacle since the limited knowledge and ability to analyze needs of individuals.This research applied quantitative method by employing Fuzzi AHP model. The data was collected by consulting the director of  Kantor Promosi Batu Mulia Indonesia GEMAFIA GROUP located in Bandung that gives some criteria in the selection of Precious stonetrade quality. Further, these criteria are formulated based on AHP pair comparison to find out the informational quality and upper expected values using TFT (triangular Fuzzy Number).The result that is based on Fuzzy AHP method show that density, color, hardness, cutting and clarity criteria are the criteria in selecting Precious stonetrade quality.  This method in the assessment of consistency level is done in the hierarchy structure level and is able to accommodate the assessment inconsistency. Keywords—AHP (Analysis Hierarchy Process), Fuzzy AHP, TFN (Triangular Fuzzy Number),  upper eecepted upper.
An Application of Expert System to Identify Trees Utilizing Leaf Images Muhammad lhsan Sarita; Sri Hartati
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 1, No 2 (2007): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.2275

Abstract

AbstractTree identification is a very important to support almost all activities in the forest sector. Unfortunately, the inavailability of data and computer programs that is user friendly have caused ineficiency in tree identification. This research tries to make an expert system to identify trees by using the leaf images. To store the data in the knowledge base one must choose one of the some leaf images that are in the data base available in the program according the characteristic of the leaf. Each leaf image has a code and the accumulation of all codes build a tree code then this code is saved in the knowledge base. The tree code is used to identify a tree by making the comparison between input chosen by user and the tree code in the knowledge base using forward chaining. User who has information about a tree can add to the knowledge base but this information must be validated by an expert before it is used in the system. Another task of an expert is to give a CF (certainty factor) for each tree.The result of this research shows that no more errors are found due to input mistakes and the program is more user friendly. Another advantage is that the knowledge base is more flexible, dynamic and well organized Validation of knowledge base by experts can increase the quality and accuracy of using the knowledge base system.Keywords : expert system, leaf image, knowledge base, forward chaining, CF
An Application of Expert System For Diagnozing Endoparsitism Gastrointestinal Disease In Livestock Animals Rusdi Efendi; Sri Hartati
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 1, No 2 (2007): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.2276

Abstract

AbstractThe goal of this research is to make an expert system as a tool for diagnozing endoparsitism gastrointestinal disease for cows and sheep. The knowledge base of the system has been acquired from some interviews with some doctors from the internal diseases animal's unit at Animal's Hospital, Gadjah Mada University Jogjakarta, some text books, journals, and research papers. The inference machine of the system uses Forward Chaining and uncertainty data methods using Dempster-Shafer Theory.The system has a consultation session with an interactive dialog that can be used by the users. A user gives information such as user's data, and answers the questions about the endoparsitism gastrointestinal symptoms that might be had by his animal. From the answers, the system computes the possibility of the animal to suffer from endoparsitism gastrointestinal, informs the life cycle parasites, and suggests a therapy for it.Keywords : Expert System, diagnoze, endoparsitism gastrointestinal disease, Forward chaining method, Dempster-Shafer Teary
Identifikasi Gangguan Neurologis Menggunakan Metode Adaptive Neuro Fuzzy Inference System (ANFIS) Jani Kusanti; Sri Hartati
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 9, No 2 (2015): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.7547

Abstract

AbstrakPenggunaan metode Adaptive Neuro Fuzzy Inference System (ANFIS) dalam proses identifikasi salah satu gangguan neurologis pada bagian kepala yang dikenal dalam istilah kedokteran stroke ischemic dari hasil ct scan kepala dengan tujuan untuk mengidentifikasi lokasi  yang terkena stroke ischemik. Langkah-langkah yang dilakukan dalam proses identifikasi antara lain ekstraksi citra hasil ct scan kepala dengan menggunakan histogram. Citra hasil proses histogram ditingkatkan intensitas hasil citranya dengan menggunakan threshold otsu sehingga didapatkan hasil pixel yang diberi nilai 1 berkaitan dengan obyek sedangkan pixel yang diberi nilai 0 berkaitan dengan background. Hasil pengukuran digunakan untuk proses clustering image, untuk proses cluster image digunakan fuzzy c-mean (FCM). Hasil clustering merupakan deretan pusat cluster, hasil  data digunakan untuk membangun fuzzy inference system (FIS). Sistem inferensi fuzzy yang diterapkan adalah inferensi fuzzy model Takagi-Sugeno-Kang. Dalam penelitian ini ANFIS digunakan untuk mengoptimalkan hasil penentuan lokasi penyumbatan stroke ischemic. Digunakan recursive least square estimator (RLSE) untuk pembelajaran. Hasil RMSE yang didapat pada proses pelatihan sebesar 0.0432053, sedangkan pada proses pengujian dihasilkan tingkat akurasi sebesar 98,66% Kata kunci—stroke ischemik, Global threshold, Fuzzy Inference System model Sugeno, ANFIS, RMSE  Abstract            The use of Adaptive Neuro Fuzzy Inference System (ANFIS) methods in the process of identifying one of neurological disorders in the head, known in medical terms ischemic stroke from the ct scan of the head in order to identify the location of ischemic stroke. The steps are performed in the extraction process of identifying, among others, the image of the ct scan of the head by using a histogram. Enhanced image of the intensity histogram image results using Otsu threshold to obtain results pixels rated 1 related to the object while pixel rated 0 associated with the measurement background. The result used for image clustering process, to process image clusters used fuzzy c-mean (FCM) clustering result is a row of the cluster center, the results of the data used to construct a fuzzy inference system (FIS). Fuzzy inference system applied is fuzzy inference model of Takagi-Sugeno-Kang. In this study ANFIS is used to optimize the results of the determination of the location of the blockage ischemic stroke. Used recursive least squares estimator (RLSE) for learning. RMSE results obtained in the training process of 0.0432053, while in the process of generated test accuracy rate of 98.66% Keywords— Stroke Ischemik, Global threshold, Fuzzy Inference System model Sugeno, ANFIS, RMSE 
Sistem Pendukung Keputusan untuk Memilih Budidaya Ikan Air Tawar Menggunakan AF-TOPSIS Hence Beedwel Lumentut; Sri Hartati
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 9, No 2 (2015): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.7548

Abstract

AbstrakPotensi perikanan budidaya air tawar semakin meningkat, hal tersebut disebabkan produksi ikan sektor penangkapan mendekati “overfishing”. Budidaya perikanan air tawar memiliki beberapa alternatif ikan yang memiliki nilai ekonomis tinggi yaitu ikan Mas, ikan Mujair, ikan Nila, ikan Gurame, ikan Lele dan ikan Patin. Alternatif ikan ini memiliki karakteristik yang berbeda untuk masing-masing jenis pembudidayaannya. Parameter-parameter yang mempengaruhi proses budidaya ikan air tawar tersebut diantaranya: faktor kesesuaian air meliputi: suhu, kecerahan, DO (derivater oksigen), keasaman (pH). Sedangkan pemilihan budidaya perikanan yang menguntungkan bisa dinilai dari faktor finansial yaitu: NPV (Net Present Value), ROI (Return on Investment), BCR (Benefit Cost Ratio), PBP (Pay Back Period) dan BEP (Break Event Point). Sedangkan metode yang dipergunakan untuk pengambilan keputusan yaitu Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) sebagai salah satu model decision dapat digunakan untuk memberikan preferensi kepada para petani budidaya ikan, karena alternatif yang terpilih tidak hanya memiliki jarak terpendek dari solusi ideal positif tetapi juga jarak terpanjang dari solusi ideal negatif. Hasil dari penelitian ini menunjukkan bahwa sistem penunjang keputusan yang mempertimbangkan parameter kondisi lingkungan air dan faktor finansial dapat membantu petani budidaya ikan untuk menentukan jenis budidaya ikan air tawar yang akan dijalankan. Kata kunci—Ikan air tawar, Analisis Finansial, TOPSIS, SPK. AbstractFreshwater aquaculture potential is increasing, one of the reason is production of fishing over the sea is almost deal with "overfishing". Freshwater aquaculture fish have few alternatives such as Carp, Mossambique, Tilapia, Gouramy, Catfish and Pangacius. Each has different type of cultivation. The requirement parameters that influence the process of freshwater cultive is water suitability factors include: Temperature, Brightness, DO (derivated oxygen), acidity (pH) etc. While the selection of profitable aquaculture can be determind from financial bussines as: NPV (Net Present Value), ROI (Return on Investment), BCR (Benefit Cost Ratio), PBP (Payback Period) and BEP (Break Event Point). The methods that used to help the decision-making process that Method Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) as one of the decision models can be used to give preference to farmers fish farming, because the alternative is chosen not only have the shortest distance from a solution positive ideal but also the longest distance from the negative ideal solution. The results of this study show that decision support systems that take into account the environmental condition of water parameters and financial bussines can help fisherman to determine the type of freshwater Aquaculture culture to be run. Keywords— Fresh Water Fish, Financial Analysis, TOPSIS, SPK
Co-Authors A. Intan Niken Tari Abdiansah, Abdiansah Abdurrakhman WKA Ade Andriani Adi Prasetia Nanda Afifah Khairiyyah Afrida, Dede Afriyanti Afriyanti Agung Budi Pramono Agus Budiyono Agus Harjoko Agus Wartapa, Agus Agustina Intan Niken Tari Ahlijati Nuraminah Aisyah Citra Febrianti Akhmad Vikry AKTAVIA HERAWATI Al Jabbar, Brama Aldri Frinaldi Alfarisa Nururrozi Amin Budiastuti Aminuyati Ana Maria Gadi Djou Andriyani . Angelina Anastasha Annisa Nurilahi Aridhanyati Arifin Arif Nursetyo Aris Budianto Arjoni Arjoni Asmarani Kusumawati Asmarani Kusumawati Asmoro, Novian Wely Asrianty Mas’ud ati sulianty Atik Ratnawati Ayu Meilani Ayu, Yusmaini Azhari Azhari Bambang Sugiantoro Bambang Sumarwoto Bernard Renaldy Suteja Budi Hariono Catur Gunawan Podo Winarno Chiekal Mulia Danar Dono Danur Azissah Daulat Saragi Dedah Rahmawati Dedik Budianta DEFI WULANDARI Dewanto Harjunowibowo Dewi Susanti Dhinny Novryanthi Doni Eko Hendro Pramono Dwi Atmoko Dwi Priyo Ariyanto Dwi Priyowidodo Dwi Susilo Utami Dyah Kunti Wirapratiwi Edduar Hendri, Edduar Eilen Ardi Estiningtyas El Thaariq Is'ad Elen Erniasita Elisabet Yunaeti Anggraeni Elyandari, Wiwik Septerian Ema Utami Emma Lilianti, Emma Endah Yulia Endang S Rahayu Endro Yunianto Eni Harmayani Enny Sudarmonowati Enny Sudarmonowati Eri Zuliarso Ernawati Hamidah Ersam Mahendrawan Fanessa Febryan Ruswandi Fauzy Rachman Finta Amalinda Fitri Nurbaiti Fitria Meilina Fitria Roviqowati Guntari Titik Mulyani Guntoro Guntoro Guntoro Guntoro Hadiman Hadiman Handoyo, Alfandy Warih Hani Fitriani Hargiani, Fransisca Xaveria Haries Anom Susetyo Aji Nugroho Hary Purnamaningsih Hastari Wuryastuti Hence Beedwel Lumentut Heni Pujiastuti Heri Budianto Herlina Lidiyawati Hermansyah Hermansyah Herry Cahyana Hery Widijanto Hidayani Syam I Usuman Ida Arlita Wulandari Ida Damayanti Ida Fitriana Idarianty Irkham Widiyono Irma Julita Izzati J.Sri Widada Jati Sasongko Wibowo Jauhari Syamsiah Jauhari Syamsiyah Jauhari Syamsiyah Jazi Eko Istiyanto Joannes Sri Widada Joko Prastowo Julius Hammer jurnalpps pps Jusuf Luturmas Kamesyworo Kamiso H.N. Kanaya Yose Putri Karolus Charlaes Bego Komariah Komariah Krisdyanto Ariwibowo Kurnia Kurnia Kusai Kuswarini Kuwat Triyana Laksono Trisnantoro Lela aini Leonardus B.S.Kardono lia saputri Linayanti Linayanti Luciana Djaya Luh Putu Vera Astri Luqyana Dhiya Ulhaq Lutiyah, Lutiyah M Fatoni Kurnianto M. Arif M.Isnando Tamrin MA Barokatul Qodiri Sidomulyo Made Slamet Mahardika, Klara Vamiga Permata Mahasir, Mahasir mar'atus solikha Masrukhan Masrukhan Masythah, Irma Maulan Irwadi Maya Zefriani Lubis Meci Yuniastuti Rahma Meity Suradji Sinaga Meylina Diah Ekasari Mia Sukma Dewi Moh. Arief Bonis S Mohamad Zaki Taufik Muhammad Alfin Vajriansyah Muhammad Haikal Fuady Muhammad Hanafiah Muhammad lhsan Sarita Muhammad Rifaldi Mujiyo Mujiyo Mukhamad Agung Yusuf Mulud Suhardjo Mustar Musthofa Musthofa Mutiara Rachmawati Suseno Mutiasari Mutiasari Nadhrota Na’imi Nurul Hayati Nafratilova Septiana Nanang Taryana Nanda Rizki Wildani Nanik Rahmani Nanik Rahmani Natasya Wahyu Ningsih Nawawi Nawawi nFN Yopi Niken Anggreani Nisa Sholehah Pangsuma Nita Ashari Noor Istifadah Nurul Hasanah Nurul Ihsani Oga Sandria Ongko Cahyono Partomuan Simanjuntak Pebrin Gultom Pipin Sri Sudewi Pitrawana Pitrawana Prasetyo, Indra Pratiwi Sapani Tanjung Purwanto Purwanto Putri Fauziah Putri Nilam Sari Retantyo Wardoyo Retni Retno Widyastuti Rifka Dhiya Ulfa Rika Meliansyah Rindia Septa Kurnia Rio Adi Pradana Rio Kurniawan Romaito Gultom Rosalina Anindia Sari Kartika Rosalina Anindya Kartika Rosalina Anindya Sari Kartika RR. Ella Evrita Hestiandari Rugayah Rugayah Rusdi Efendi Sabrina Salamudin Sarah Azzukhruf Sari, Venta 'Yulia Setiawan, Mukhammad Andri Shinta Maharani Shofwatul ‘Uyun Sibarani, Asni Silvia Adimiharta SITI FATIMAH Siti Helmyati Siti Isnijah S.P. Siti Kurniawati Siti Mayang Sari Siti Nurhalisah Siti Safitri Siti Um-um Andriyani Bahroen Slamet Minardi Sonhaji Sonhaji *), Ferra Ika Wardani Solechan Sonhaji Sonhaji Sri Gustina Lubis SRI HENDRASTUTI HIDAYAT SRI KURNIA DEWI Sri Kusumadewi SRI LESTARI Sri Nurdiati Sri Pujiyati Sri Wahyuni Sri Widada Sumani Sumani Sumarno Sumarno Sumartono . Supriyadi Supriyadi Suryo Wiyono Susanti Budiastuti SUSENO SUSENO Suyono . Syawaluddin Syawaluddin Teuku Afzal Livandi tisrin maulina dewi Titien Ng Praptosuwiryo Titis Kurniawan Tri Untari Tri Widayatsih Triana, Heny Triyanto Triyanto Tuti Rohani, Tuti Tyas Utami Ukit Ulumuddin Ulumuddin Vera Marettianada Widayanti Widia Tirta Sari Wijo Priyono Wisnu Nurcahyo Woro Wulandari Yakobus Ndona Yani Cahyani Yanwar Habibul Muttaqin Yasminingrum Yeni Afrida Yeni Agus Nurhuda Yohan Yohan Yova Atika Yuli Santoso Yusria Zulkarnain Zulkarnain