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METODE SIMPLEKS PRIMAL-DUAL PADA PROGRAM LINIER FUZZY PENUH DENGAN BILANGAN TRAPEZOIDAL Irawanto, Bambang; Djuwandi, Djuwandi; Suryoto, Suryoto; Handayani, Rizky
MATEMATIKA Vol 19, No 3 (2016): Jurnal Matematika
Publisher : MATEMATIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (198.268 KB)

Abstract

Program linier dengan koefisien fungsi tujuan bilangan trapezoidal fuzzy (FNLP) dan program linier dengan variabel trapezoidal fuzzy (FVLP) merupakan bentuk dari program linier fuzzy tidak penuh. FNLP memiliki bentuk bilangan trapezoidal fuzzy hanya pada koefisien fungsi tujuannya saja, sedangkan FVLP memiliki bentuk bilangan trapezoidal fuzzy pada variabel keputusan dan konstanta ruas kanannya. Kasus minimasi dari FNLP dan FVLP dapat diselesaikan dengan metode simpleks dual. Bentuk bilangan trapezoidal fuzzy harus diubah ke bentuk bilangan crisp terlebih dahulu dengan menggunakan fungsi peringkat untuk menentukan entering variable dan leaving variablenya.Nilai fungsi tujuan optimalyang dihasilkan berupa bilangan trapezoidal fuzzy dan bilangan crisp.
Teknik pembenihan ikan Lele mutiara (Clarias gariepinus) di Unit Pembenihan Rakyat SD. Mina Jaya Khairunnisa, Surya; Handayani, Rizky; Putri Bb, Mutia S.; Fadli, Muhammad; Surya, Muhammad; Layla, Khairani
e-Journal BUDIDAYA PERAIRAN Vol. 11 No. 2 (2023): April - Desember
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35800/bdp.v11i2.52575

Abstract

Abstract Pearl catfish is a freshwater fish that has enormous potential because this fish is able to increase growth by 100-150% and 150-200%.  Pearl catfish can be developed in cultivation to replace other types of catfish. The aim of this research is to find out the techniques for hatching pearly catfish (Clarias gariepinus) in the Mina Jaya Elementary School People's Hatchery Unit, Kongsianam Village, Asahan Regency. Data was collected through observation and interview methods. The research method used was the observation method carried out by collecting data directly in the field and playing an active role in the cultivation of pearl catfish (C. gariepinus) spawning. Meanwhile, the interview method was carried out by collecting data obtained from the owner of the Mina Jaya Elementary School People's Seeding Unit. Based on research results, natural spawning of catfish with a female weight of 1.1 kg results in high fecundity, fetilization rate and heaching rate. The resulting fecundity value was 75,000 eggs, the resulting FR value was 83%, and the resulting HR value was 79%. The value resulting from natural spawning was relatively high and the results were good. The high degree of egg hatching was influenced by egg quality, air quality, and how to handle the hatching period. Keywords: spawning, reproduction, broodstock, hatching rate
Analisis Kesesuaian Lahan pada Budidaya Kepiting (Scylla spp.) di Desa Lima Puluh Pesisir Kabupaten Batubara Rumondang, Rumondang; Butar-Butar, Zuhilda Rahmayani; Handayani, Rizky
Pena Akuatika : Jurnal Ilmiah Perikanan dan Kelautan Vol. 23 No. 2 (2024): PENA AKUATIKA JURNAL ILMIAH PERIKANAN DAN KELAUTAN
Publisher : Fakultas Perikanan Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/penaakuatika.v23i2.3265

Abstract

Penelitian ini bertujuan untuk menganalisis kesesuaian lahan budidaya kepiting di Desa Lima Puluh Pesisir Kabupaten Batubara. Penelitian kualitas perairan dilaksanakan di Laboratorium Budidaya Perairan Fakultas Pertanian Universitas Asahan. Penelitian ini dilaksanakan pada bulan April sampai Mei 2023. Peubah amatan meliputi kualitas air pemeliharaan, kesesuaian lahan budidaya kepiting meliputi kerapatan jenis, kerapatan relatif, frekuensi jenis, frekuensi relatif, dominan jenis, dominan relatif dan indeks nilai penting dari mangrove serta kualitas substrat. Hasil penelitian menunjukkan bahwa kesesuaian lahan untuk budidaya kepiting di Desa Lima Puluh Pesisir Kabupaten Batubara adalah layak dan sesuai meskipun kondisi mangrove dikategorikan sebagai mangrove rusak karena memiliki nilai Dominan Relatif mangrove kategori pohon sebesar 34,34% < 50% yang ditunjukkan oleh R. mucronata, namun Indeks Nilai Penting tertinggi hingga 116,37 yang ditunjukkan oleh spesies R. apiculata dengan Kerapatan Relatif sebesar 41,42% dan Frekuensi relatif hingga 40,41%. Kualitas perairan di Desa Lima Puluh Pesisir Kabupaten Batubara sesuai dan mendukung untuk perkembangbiakan dan pertumbuhan serta perkembangan kepiting bakau. Kualitas perairan meliputi kisaran suhu 28°C – 29,5°C, pH 7,5 – 8, DO 5,5 – 5,9 ppt, kadar nitrat 1,4 – 1,5 mg/L, nitrit 0,5 mg/L, dan amoniak sebesar 0,2 – 0,3 ppm. Kesesuaian lahan untuk budidaya kepiting di Desa Lima Puluh Pesisir Kabupaten Batubara termasuk dalam kategori sesuai. Kata kunci: mangrove, Kerapatan Relatif, Indeks Nilai Penting  
Pengaruh Arang Sekam Padi Terhadap Pertumbuhan dan Produksi Tanaman Bawang Merah (Allium ascolanicum.L) Handayani, Rizky; Lufita Nur Alfiah; Rizah Rizwana Wahyuni
SUNGKAI Vol. 12 No. 1 (2024): Jurnal Sungkai (e-Journal)
Publisher : Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/sungkai.v12i1.2313

Abstract

RIZKI HANDAYANI, NIM 1827028. "The Effect of Giving Rice Husk Charcoal on the Growth and Production of Shallot Plants (Allium ascolanicum. L)". Supervised by Lufita Nur Alfiah, SP., M.Si and Rizah Rizwana Wahyuni, S.TP., M.Sc.Onion (Allium ascalonicum L) is a horticultural plant belonging to the vegetable and spice group as a food flavoring. Shallots are one of the leading vegetable commodities that have been intensively cultivated by farmers for a long time. Acidic soil is soil that has a low pH, generally acidic soil will reduce the level of land productivity for some plants. Soil conditions with low productivity levels require the addition of ameliorant. The ameliorant that can be used is rice husk charcoal. Rice husk charcoal can be used to improve the place where a plant grows and can function as a builder of soil fertility. This research was conducted to determine the effect of giving various doses of rice husk charcoal on the growth and production of shallot plants. This research was carried out at the Kassa House of the Faculty of Agriculture, Pasir Pengaraian University from May to August 2022. The design used in the study was a Completely Randomized Design (CRD) with 5 treatments, namely R0 = 0 g/polybag, R1 = 20 g/polybag , R2 = 40 g/polybag, R3 = 60 g/polybag, and R4 = 80 g/polybag. The results showed that the results were not significantly different with the administration of several doses of rice husk charcoal on all observation parameters. Parameters of plant height and fresh weight of tubers tended to be higher by administering a dose of rice husk charcoal 80 g/polybag. While administration at a dose of 40 g/polybag tends to be higher for the number of tubers planted compared to other doses.
Boosting Methods for Multi-label Data Cyberbullying Farasalsabila, Fidya; Aritonang, Mhd Adi Setiawan; Jabnabillah, Faradiba; Moniva, Anip; Lestari, Verra Budhi; Handayani, Rizky
JURIKOM (Jurnal Riset Komputer) Vol 12, No 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8721

Abstract

Easy accessibility to the internet and social media allows individuals to communicate anonymously, providing opportunities for abusive and harmful behavior. The psychological impact of cyberbullying can be very detrimental, triggering stress, depression, and even causing more serious consequences such as suicide. This paper describes cyberbullying sentiment analysis with a focus on the use of four different boosting methods, namely Gradient Booster, Gradient Booster, XGBoost, AdaBoost, dan LightGBM on a multi-label public dataset covering 6 categories. The aim of this research is to compare and analyze the relative performance of these boosting methods in overcoming the challenges of multi-label sentiment analysis in the context of cyberbullying. Results reveal that XGBoost and LightGBM have a tendency to more effectively overcome the challenges of detecting cyberbullying in more complex categories, making a positive contribution to the development of superior detection systems in the context of multi-label sentiment analysis. This research contributes to the field by providing a comparative analysis of state-of-the-art boosting algorithms, highlighting their strengths in multi-label classification tasks, and offering practical insights for developing more accurate and reliable cyberbullying detection systems. The findings from this study are expected to serve as a reference for future development of machine learning-based tools that can help mitigate the psychological harm caused by online abuse, particularly in detecting subtle and complex forms of cyberbullying behavior.
Peran Guru Pendidikan Agama Islam Dalam Pembentukan Karakter Siswa Di SMAN 1 Sangatta Utara Nabil, Muhammad; Astuti, Aprianti; Nurwati; Hasannah, Baiq Uswatun; Handayani, Rizky; Nursalim, Eko
Educompassion: Jurnal Integrasi Pendidikan Islam dan Global Vol. 1 No. 4 (2024): November
Publisher : Yayasan Cendekia Gagayunan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63142/xf9t8k10

Abstract

This study aims to explore the role of Islamic Religious Education (PAI) teachers in shaping students' character at SMA N 1 Sangata Utara. Specifically, this research will examine how PAI teachers implement religious education that not only imparts knowledge but also instills moral and ethical values that support the development of students' character. The focus of the study is on the methods and approaches used by teachers in their teaching. It is hoped that this study will provide a clearer picture of the contribution of PAI teachers in creating a generation of youth who are not only knowledgeable but also virtuous and prepared to face societal challenges. This research uses a qualitative approach with field study methods to describe and analyze the phenomena observed in the field. The findings show that PAI teaching at SMA N 1 Sangata Utara does not only focus on academic achievement but also creates an educational ecosystem that shapes students into intellectually capable, emotionally mature, and morally upright individuals.
Sentiment Analysis of Public Opinion on Online Gambling Through Social Media Using Convolutional Neural Network D. Diffran Nur Cahyo; Handayani, Rizky; Budhi Lestari, Verra; Febriani, Siska
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 1 (2025): Issues July 2025
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i1.15024

Abstract

Online gambling has become a serious social issue due to its easy accessibility through digital platforms, requiring effective policy interventions. This study analyzes public sentiment toward online gambling by examining 10,000 YouTube comments using a Convolutional Neural Network (CNN) algorithm. Data were collected via the YouTube API and underwent preprocessing steps including text cleaning, normalization, tokenization, stopword removal, and stemming. Sentiment labeling was performed using a lexicon-based approach, with data transformed through Word2Vec embedding and balanced using oversampling techniques. The CNN model, consisting of embedding, convolutional, pooling, and dense layers, achieved an impressive accuracy of 99.10%, outperforming traditional machine learning methods. Sentiment was categorized into positive, neutral, and negative, with the majority of comments reflecting positive sentiment, indicating public support for efforts to combat online gambling. WordCloud visualizations highlighted dominant themes and frequently used terms. This study demonstrates the effectiveness of CNN in analyzing unstructured social media data and offers valuable insights for policymakers. Future research should explore hybrid architectures such as CNN-LSTM and expand datasets by including other platforms like Twitter, Instagram, and TikTok to enhance generalization and address broader social challenges.
Pemberdayaan Wirausaha Muda Melalui Pelatihan Business Model Canvas pada Karang Taruna Nawasena Handayani, Rizky; Ariyanto, Catur; Cahyo, D. Diffran Nur
Lentera Pengabdian Vol. 3 No. 03 (2025): Juli 2025
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/lp.v3i03.965

Abstract

Rendahnya literasi kewirausahaan dan minimnya keterampilan perencanaan bisnis menjadi kendala umum yang dihadapi wirausaha muda di tingkat komunitas, termasuk anggota Karang Taruna. Salah satu strategi yang dapat digunakan untuk meningkatkan kapasitas mereka adalah melalui pelatihan perencanaan bisnis menggunakan Business Model Canvas (BMC). Kegiatan pengabdian ini bertujuan untuk memberikan pemahaman dan keterampilan praktis dalam menyusun rencana bisnis berbasis BMC kepada anggota Karang Taruna Nawasena. Metode pelaksanaan meliputi observasi kebutuhan, pelatihan tatap muka dengan pendekatan diskusi dan praktik langsung, serta evaluasi melalui kuesioner. Hasil evaluasi menunjukkan bahwa 66,7% peserta belum pernah mengikuti pelatihan bisnis sebelumnya, dan 60% belum mengenal BMC. Setelah pelatihan, sebanyak 86,7% peserta menyatakan memahami cara menyusun rencana bisnis menggunakan BMC, dan 100% peserta merasa pelatihan ini membuka wawasan mereka tentang dunia bisnis. Temuan ini menunjukkan adanya peningkatan signifikan dalam pemahaman dan motivasi peserta terhadap kewirausahaan. Luaran kegiatan ini berupa rencana bisnis awal berbasis BMC yang disusun oleh masing-masing peserta, serta panduan pelatihan BMC sebagai bahan pembelajaran lanjutan di tingkat komunitas. Pelatihan ini efektif dalam membekali remaja Karang Taruna dengan keterampilan dasar perencanaan bisnis yang aplikatif, serta menjadi langkah awal dalam pemberdayaan wirausaha muda di tingkat desa.