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IMPLEMENTASI METODE MOORA UNTUK PEMILIHAN JENIS BIBIT IKAN GURAMI TERBAIK fadila, nurlailatul; Nurwati, Nurwati; Saputra, Endra
JUTSI: Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 3 (2022): OCTOBER 2022
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jutsi.v2i3.1902

Abstract

Abstract: When cultivating gouramy, it is important to choose a good and good type of gouramy seed, mistakes in choosing the type of seed can have an impact on unsatisfactory yields. Choosing the best type of gouramy seed is not only choosing, seeing and determining that it is the best type of gouramy seed, but it is also important for leaders to know what is the most effective way to get the best results in selecting the best type of gouramy fry. The problem in selecting the type of gouramy seed in Tambak Gule Jaya is due to limited knowledge in determining the criteria for selecting the best type of gouramy seed, so the results are still not optimal. So at the next stage in selecting the type of gourami seed in order to get the best results, one of the selections that can be used is the Decision Support System. SPK selection of the best gouramy breeds is done using the MOORA method to rank gouramy data alternatives. This study resulted in an SPK that can determine the best type of gouramy fish in Gule Jaya Tambak based on predetermined criteria, namely: price of fish seeds, length of harvest, fish weight, fish length, ease of feed, public interest. The system will search by the MOORA method, once obtained, the system will display the results of the decision on the best type of gouramy fish based on ranking, from 8 types of fish seeds. The gouramy that was chosen with the greatest value was Gouramy Soang.Keywords: Decision Support System; Tambak Gule Jaya; Types of Gourami Seedlings; MOORAAbstrak : Ketika melakukan budidaya ikan gurami maka memilih penting untuk memilih jenis bibit ikan gurami yang bagus dan baik, kesalahan dalam memilih jenis bibit bisa berdampak pada hasil panen yang kurang memuaskan. Memilih jenis bibit ikan gurami terbaik bukan hanya memilih, melihat serta menetapkan bahwa itu adalah jenis bibit ikan gurami terbaik, tetapi juga penting bagi pimpinan untuk mengetahui cara apa yang paling efektif untuk mendapatkan hasil terbaik dalam pemilihan jenis bibit ikan gurami terbaik. Permasalahan dalam pemilihan jenis bibit ikan gurami di Tambak Gule Jaya yaitu karena keterbatasan pengetahuan dalam menentukan kriteria pemilihan jenis bibit ikan gurami terbaik, sehingga hasilnya masih belum maksimal. Maka pada tahap selanjutnya dalam pemilihan jenis bibit ikan gurami agar mendapatkan hasil yang terbaik, salah satu dari seleksi pemilihan yang bisa digunakan adalah dengan Sistem Pendukung Keputusan. SPK pemilihan jenis bibit ikan gurami terbaik dilakukan dengan menggunakan metode MOORA. Penelitian ini menghasilkan sebuah SPK yang dapat menentukan jenis bibit ikan gurami yang terbaik pada Tambak Gule Jaya berdasarkan kriteria yang telah ditetapkan yaitu: harga bibit ikan, lama masa panen, berat ikan, panjang ikan, kemudahan pakan, minat masyarakat. Sistem akan mencari dengan metode MOORA, setelah didapatkan, maka sistem akan menampilkan hasil keputusan jenis bibit ikan gurami terbaik berdasarkan ranking, dari 8 jenis bibit ikan gurami yang terpilih dengan nilai terbesar yaitu Gurami Soang.Kata Kunci: Sistem Pendukung Keputusan; Tambak Gule Jaya; Jenis Bibit Ikan Gurami; MOORA.
Implementation of K-Means Algorithm for Clustering Scholarship Candidates at TPA Anak Sholeh Nurwati, Nurwati; Santoso, Yudi
Jurnal Indonesia Sosial Sains Vol. 5 No. 08 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i08.1212

Abstract

The Qur'an Education Park (TPA) plays an important role in improving children's education in the surrounding environment by providing facilities for learning to read and write the Quran, reading short prayers, and other positive activities. However, the criteria for scholarship recipients at TPA Anak Sholeh are still unclear, even though the provision of this scholarship aims to motivate students to be more active in learning and excelling. This study aims to determine more specific criteria for scholarship recipients, such as attendance, achievements, home conditions, and parents' income. Another objective is to validate and improve the accuracy of the K-Means Clustering model used in grouping the data of prospective scholarship recipients into three categories: accepted, considered, and rejected. The research method used is the K-Means Clustering algorithm. Algorithm performance evaluation is carried out through metrics such as accuracy, precision, recall, f-measure, and cross-validation. Testing was carried out on TPA student data as many as 80 student data. The results of the grouping using 3 clusters were obtained as many as 46 students received C1 scores, C2 scores were rejected by 12 students and C3 scores were considered for 22 students. The determination of the centroid distance has an effect on the value of the cluster results when conducting the scholarship attribute collateralization.
MENUMBUHKAN MINAT KEWIRAUSAHAAN MASYARAKAT DAN PELUANG-PELUANG USAHA YANG MENJANJIKAN Putri, Anggia Sekar; Meifari, Vanisa; Nasution, Ulfa Oktaviani; Kusumah, Surya; Anugrah, Citra; Mahpial, Dheo Junia; Pratama, Grevind; Ferdiansyah, Malik; Febriyani, Nadia; Nurwati, Nurwati; Liandini, Sevya; Nurayini, Soleha; Susilawati, Susilawati
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 6 (2023): Volume 4 Nomor 6 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i6.23576

Abstract

Kegiatan pengabdian melalui sosialisasi Minat Kewirausahaan Masyarakat Dan Peluang-Peluang Usaha Yang Menjanjikan yang diinisiasi oleh mahasiswa KKN dari STIE PEMBANGUNAN menjadi salah satu solusi untuk menumbuhkan minat wirausaha siswa siswi SMK 1 Seri Kuala Lobam. sosialisasi kewirausahaan bertujuan yuntuk membangkitkan minat wirausaha peserta yang terdiri dari siswa dan siswi SMK 1 Seri Kuala Lobam. sosialisasi kewirausahaan dilaksanakan tepatnya diaula SMK 1 Seri Kuala Lobam. Tahapan sosialisasi kewirausahaan ini dimulai dengan perencanaan kegiatan, pelaksanaan kegiatan, monitoring serta evaluasi kegiatan, dan pasca kegiatan pelatihan. sosialisasi kewirausahaan ini berdasarkan pengamatan yang dilakukan dapat terlaksana dengan baik diikuti oleh siswa siswi kelas 12. Peserta menunjukkan perasaan senang, perhatian, dan ketertarikan dengan materi mengenai kewirausahaan. Peserta setelah mengikuti sosialisasi ini terlihat memiliki minat untuk mencoba memulai usaha
Pengaruh Pendapatan, Rumah Kosong, dan Pelanggan Merasa Tidak Menggunakan terhadap Piutang Tertunggak pada PT. Telkom Cabang Kendari Nurwati, Nurwati
Jurnal Aplikasi Manajemen Vol. 7 No. 1 (2009)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1945.466 KB)

Abstract

As for purpose of which wish to be reached in this research is: "to know earnings, empty home, and cutomer feels not to apply having an effect on to receivables delayed payment at PT TELKOM cabang Kendari". Analyzer applied is doubled linear regression to know earnings influence, empty home and cutomer feels not to apply to receivables delayed payment at PT TELKOM cabang Kendari. Result of research with multiple regression test obtained that in together earnings variable, empty home and cutomer doesn't feel applies influential significant to receivables is delayed payment, hence thereby hypothesis submitted in this acceptable research of its (the truth or hypothesis received).
Pelestarian Seni Budaya melalui Home Industry Tenun Samarinda: Perspektif Sejarah Islam Samsir, Samsir; Nurwati, Nurwati
el Buhuth: Borneo Journal of Islamic Studies el Buhuth: Borneo Journal of Islamic Studies, 1(1), 2018
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (Center for Research and Community Services), Universitas Islam Negeri Sultan Aji Muhammad Idris Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (550.196 KB) | DOI: 10.21093/el-buhuth.v1i1.1328

Abstract

Kain tenun sarung Samarinda merupakan media  pada  nilai  seni budaya dan estetika yang tinggi dari berbagai motif yang dihasilkan. Kelangsungan tenun pada masyarakat kampung Baqa dan masjid perlu dipublikasikan. Sarung Samarinda merupakan budaya syiar Islam karena para laki-laki sudah banyak  memakai untuk beribadah, dalam tindakan nyata berupaya melestarikan nilai budaya tenun dengan menghasilkan berbagai kreasi motif dan pembaharuan dalam kualitas. Tujuan untuk mengetahui strategi Pelestarian seni budaya melalui home Industri Tenun Samarinda Penelitian ini dilaksanakan kampung tenun Samarinda Seberang kelurahan Baqa dan Masjid. Metode yang digunakan dalam  jenis  penelitian ini adalah deskriptif kualitatif yakni menjelaskan dengan rinci melalui analisis yang mendalam mengenai subjek diteliti. Hasil penelitian strategi edukatif, ini dilakukan oleh setiap keluarga dari generasi pengrajin tenun dengan menggunakan metode lisan, misalnya diajarkan cara merawat alat tenun hingga penggunaannya. Ini dilakukan ketika anak sudah beranjak dewasa. Strategi Investasi Biologis, strategi ini dilakukan oleh penenun Samarinda dengan cara mengontrol jumlah keturunan agar kebutuhan ekonomi tetap stabil dan pengrajin tidak  mencari pekerjaan lain. Namun  tuntutan ekonomi anak pengrajin  mencari pekerjaan yang lebih cepat dapat penghasilan. Strategi investasi Ekonomi,Strategi ini dilakukan penenun dengan cara mengontrol kebutuhan ekonomi tetap stabil dan menjaga kualitas, maka akan berdampak baik terhadap pandangan dan minat pelanggan untuk memesan sarung tenun.
Model Keamanan Bersama Antara TNI Al, Polri dan Bakamla Untuk Menjaga Perekonomian di Perbatasan Laut Indonesia Malaysia Handoyo, Wuri; Adiwijaya, Achmad Jaka Santos; Nurwati, Nurwati
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i12.62546

Abstract

The security of the Indonesia-Malaysia maritime border by the Indonesian Navy, the Indonesian National Police, and Bakamla faces various problems that impact the economy. These problems include a lack of inter-agency coordination, differences in mandates and operational cultures, and challenges in law enforcement. Some of these problems include the Indonesian Navy, the Indonesian National Police, and Bakamla having different duties and authorities, but often operating in the same area. This lack of coordination and effective communication can lead to overlapping or even clashes in the execution of duties, ultimately reducing security effectiveness. The objectives of this study include: to identify and analyze the institutional regulatory aspects of the Indonesian Navy, the Indonesian National Police, and Bakamla in safeguarding the economy on the current Indonesia-Malaysia maritime border. To identify and analyze the policy framework and joint security model between the Indonesian Navy, the Indonesian National Police, and Bakamla to safeguard the economy on the Indonesia-Malaysia maritime border. The research method used is a normative juridical research method, namely law is conceptualized as norms, rules, principles or dogmas. The results of the study revealed that the institutional regulatory aspects between the Indonesian Navy, the Indonesian National Police, and Bakamla to maintain the economy on the Indonesian-Malaysian maritime border currently involve a harmonious division of roles, where the Indonesian Navy focuses on defense and maintaining state sovereignty, the Indonesian National Police is tasked with maintaining public security and order, while Bakamla is specifically tasked with security patrols and law enforcement at sea. Existing regulations underlie clear collaboration to prevent economic threats such as illegal fishing and smuggling. The conclusion of the study shows that the policy framework and security model between the Indonesian Navy, the Indonesian National Police, and Bakamla to maintain the economy on the Indonesian-Malaysian maritime border is a synergistic and integrated division of roles to maintain sovereignty and the economy. The Indonesian Navy focuses on maritime defense and sovereignty of maritime areas, the Indonesian National Police is tasked with law enforcement and maintaining civil order in the waters, while Bakamla acts as a coordinator and law enforcer in Indonesian maritime areas, including the borders. This model is an application of a universal national defense system, where these three institutions work together in an integrated, directed, and sustainable manner.
ANALISIS MODEL KLASIFIKASI DENGAN OPTIMASI PARTICLE SWARM OPTIMIZATION DALAM KLASIFIKASI STATUS GIZI ANAK Nurwati, Nurwati; Nofitri, Rika; Selvi, Diana
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4247

Abstract

Abstract: Nutritional status represents a state of equilibrium in the form of specific variables or the manifestation of nutrition in the form of specific variables. Optimal nutritional status is achieved when there is a balance between nutrient intake and nutrient requirements. Malnutrition not only affects an individual's physical health but also negatively impacts their overall development and well-being. However, data warehouses related to child nutritional status in Asahan Regency from various community health centers (Puskesmas) have not been optimally utilized to generate valuable information. Therefore, the purpose of this study was to analyze child nutrition datasets using a machine learning-based classification model that can predict children's nutritional status early. The classification model was chosen because of its ability to group data or objects based on specific classes, making it suitable for future data prediction. Based on the results, it can be concluded that optimizing the toddler nutritional status classification model using the Particle Swarm Optimization (PSO) method and cross-validation was able to identify the best model, namely the Decision Tree, with an accuracy of 37.50%. Although the overall accuracy of all models was still relatively low. This indicates the need for further data processing, such as data balancing, selecting more relevant features, and further parameter tuning to improve classification performance. Keywords: Classification; Particle_Swarm Optimization; Cross Validation, Nutritional Status Abstrak: Status gizi adalah representasi dari keadaan keseimbangan dalam bentuk variabel tertentu atau manifestasi nutrisi dalam bentuk variabel tertentu, di mana status gizi optimal dicapai ketika terjadi keseimbangan antara asupan dan kebutuhan zat gizi. Gizi buruk tidak hanya memengaruhi kesehatan fisik individu, tetapi juga berdampak negatif pada perkembangan dan kesejahteraan mereka secara keseluruhan. Akan tetapi, gudang data yang terkait status gizi anak di Kabupaten Asahan dari berbagai puskesmas belum dimanfaatkan dengan optimal untuk menghasilkan informasi yang berharga. Oleh karena itu, tujuan dari penelitian ini adalah untuk menganalisis dataset gizi anak menggunakan model klasifikasi berbasis machine learning yang dapat memprediksi status gizi anak secara dini. Model klasifikasi dipilih karena kemampuannya dalam mengelompokkan data atau objek berdasarkan kelas tertentu, sehingga cocok untuk prediksi data di masa depan. Berdasarkan hasil penelitian, dapat disimpulkan bahwa optimasi model klasifikasi status gizi balita menggunakan metode Particle Swarm Optimization (PSO) dan cross validation mampu mengidentifikasi model terbaik, yaitu Decision Tree dengan akurasi 37,50%, meskipun secara umum tingkat akurasi seluruh model masih relatif rendah. Hal ini menunjukkan perlunya pengolahan data lebih lanjut, seperti balancing data, pemilihan fitur yang lebih relevan, maupun tuning parameter lanjutan untuk meningkatkan performa klasifikasi. Kata kunci: Klasifikasi; Particle Swarm Optimization; Cross Validation, Status Gizi 
Co-Authors ABDILLAH RAMADHAN Abdul Gani Abdul Razak Adhisyah, Siti Vickie Dina Maulaya Adi Rizfal Efriadi, Adi Rizfal Adiwijaya, Achmad Jaka Santos Adya Hermawati Afiana, Nisa Dewi Ahmad Riyadi Ajahra, Fatimah Akbar, Muh. Alfarizi, Rizky Putri Alidin, La Ode Asfahyadin Amri, Muhammad Al Anugrah, Citra Apriandani, Babby Apriany, Vivi Awasinombu, Aidin Hudani Bahar, Harmiaty Bambang Tjatur Iswanto, Bambang Tjatur Bambang Wiyono, Bambang Basri Basri Berliani, Ainun br sinambela, salsabilah ramadani Budiharto Budiharto Buyung Sarita Cahyani, Indah Tri Cahyani, Nopita Indah Chanafi, Muhammad Cusyana, Silvi Reni Cusyana Dakum, Dakum Dalimunthe, Ruri Ashari Deskiana, Intan Dewi ANGGRAENI Dewi, Sri Puspita Djaya, Subhan Effendi, Indah Syalsabilla Eko Jokolelono Endaryo, Dimas Bagas Endeh Suhartini fadila, nurlailatul Febriyani, Nadia Febryawan, Aldy Fera, Melly Ferdiansyah, Malik FIKRI HAIKAL Fitri Larasati, Mustika Fitriwati Djam’an Fredinan Yulianda Ghifari, Ghazi Al Gundari, Putri Habib, Yahya Abdul Handoyo, Wuri Harbeng Masni, Harbeng Haris, Nadhifa Abdul Harjoprawiro, La Hasanah, Acunta Uswatun Havita, Deandra Najwa Hayati, Norlina Heni Hendrawati Heniyatun Herman Saputra, Rifki Herman Saputra, Rifki Husin Husin Husin, Husin Husna, Lenny Hutabarat, Zuhri Saputra Hutapea, Tiofani Br. I Made Antara Ilyanawati, R. Yuniar Anisa Indra Indra Istia, Inka Condro Ity Rukiyah Iwan Setiadi Johny Krisnan, Johny Khotamir Rusli, Radif Kifti, Wan Mariatul Kinanti, Ajeng Zahra Kusumah, Akhmad Hadi Kusumah, Surya La Ode Bahana Adam Larasati, Ika Arum Larasati, Mustika Fitri Latupapua, Conchita V Lestari, Cetryn Ayu Diah Lestari, Mariska Dwi Liandini, Sevya M. Rendi Aridhayandi Maharani, Dewi Mahpial, Dheo Junia Mahrani, Sri Wiyati Mangilep, Muhammad Ady Agung Martaleni - Meitri, Jeanet Silky Mochammad Imron Awalludin Montundu, Yusuf MUFTI MUFTI, MUFTI Muhammad Irkham Firdaus Muhammad Sudia Mujahidah Mujahidah Murdjani Kamaluddin, Murdjani Muthia Dewi Narassati, Maulida Nasution, Ulfa Oktaviani Nia Syafrila, Wirfa Ningrum, Mawar Puspitha Ningsih, Ade Irma Suriya Nofitri, Rika Novanda, Della Sagita Noviasari, Dilli Trisna Nugraha, Rahmat Nurul Prima Nur Alim Djalil Nur lina Nurayini, Soleha Nurhaliza, Rizky Nurhasanah Nurhasanah Nurlita , Febri Nurqamar, Insani Fitri Pamungkas, Aldo Satriyo Pandiangan, Anjani Putri Belawati Pariabti Palloan Pebriani, Elvi Penny Setyowati, Penny Pianti, Uut Okta Prasja, Teguh Rama Pratama, Grevind Putra, Singgih Adhi Putri, Anggia Sekar Putri, Rima Melani Putri, Riska Ananda Rachman, Muhammad Sultan Al Viqri Rahayu, Elly Rahmadani, Cindy Rahmadani, Nurul Rahman Nur Ibnu, Adi Rahmawati, Rahmawati ramadani, Novita Ramdhan, William Ramlawati Ramlawati Randi, Mohamma Jusuf Rasnawati, Rasnawati Riki Andri Yusda Rina Rina Ritawaty, Noor Rizki Utami, A’Allya Rizqiyah, Jazirotur Roestamy, Martin Rohminatin, Rohminatin Safitri, Rahmah Salman Samir, Salman Salsabila Rizki, Diva Salsabila, Adinda Samsir Samsir Samsir Samsir, Samsir SANTOSO SANTOSO Santoso, R. Tri Priyono Budi Saputra, Endra Saputri, Rischa Indah Sari Risnawati, Ayu Sari, Padia Nadila Selvi, Diana Sena, Maulana Dwi Sinarwaty Sunarjo Soraya, Elly Sri Nadilah, Sri Supriadi, Sendi Susanti, Riski Syafnur, Afdhal Syahfitri, Novianti Syamsul Bahri Tahir, Febryansyah Umairoh, Siti Umar Wirahadi Kusuma, Umar Wirahadi Utami, Dinda Fransiska Valeria , Maciejewski Vanisa Meifari Wahyuniati Hamid Widodo Widodo Yudi Santoso, Yudi Yulia Kurniaty Yuliana, Eni Yulita, Kintan Yunika Purwanti Yusuf Yusuf