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All Journal GEMA TEKNOLOGI METANA Jurnal Kesehatan Lingkungan indonesia JURNAL AKUNTANSI DAN AUDITING Jurnal Ilmiah Pendidikan Dasar Techno LPPM Jurnal Varidika JIPM (Jurnal Ilmiah Pendidikan Matematika) IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Jurnal Manajemen Keuangan Publik JIEET (Journal of Information Engineering and Educational Technology) Syntax Literate: Jurnal Ilmiah Indonesia BAREKENG: Jurnal Ilmu Matematika dan Terapan Manajer Pendidikan: Jurnal Ilmiah Manajemen Pendidikan Program Pascasarjana JURNAL PENDIDIKAN TAMBUSAI FLUIDA QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Lex Librum: Jurnal Ilmu Hukum Jurnal Kartika Kimia Journal of Humanities and Social Studies Journal of Science Innovare FITOFARMAKA: Jurnal Ilmiah Farmasi EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Journal of English Language and Pedagogy Jurnal Ilmiah Sains dan Teknologi (SAINTEK) Jurnal Daur Lingkungan JURNAL PENELITIAN PERAWAT PROFESIONAL Jurnal Untuk Masyarakat Sehat (JUKMAS) Jurnal Kebijakan Pemerintahan Jurnal Pendidikan Dasar Perkhasa NUCLEUS: Jurnal Sains dan Teknologi INOPENDAS: Jurnal Ilmiah Kependidikan Journal of Earth and Marine Technology (JEMT) Jurnal Pengabdian kepada Masyarakat Abditeknika - Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Jurnal Abdimas Kartika Wijayakusuma Indonesian Journal of Applied Environmental Studies Pharmaceutical Sciences and Research (PSR) Helium: Journal of Science and Applied Chemistry Indonesian Journal of Advanced Research (IJAR) Legalpreneur Journal Komunita: Jurnal Pengabdian dan Pemberdayaan Masyarakat SmartComp JGSD : Jurnal Guru Sekolah Dasar al Kimiya : Jurnal Ilmu Kimia dan Terapan Proceeding Of International Conference On Education, Society And Humanity IJHABS Artha Imperium: Jurnal Pengabdian Kepada Masyarakat Eksplorium : Buletin Pusat Pengembangan Bahan Galian Nuklir Disiplin : Majalah Civitas Akademika Sekolah Tinggi Ilmu Hukum sumpah Pemuda
Sutanto Sutanto
Universitas Pakuan
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HILL CLIMBING ALGORITHM ON BAYESIAN NETWORK TO DETERMINE PROBABILITY VALUE OF SYMPTOMS AND EYE DISEASE Adhitama, Ria Puan; Saputro, Dewi Retno Sari; Sutanto, Sutanto
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 4 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (577.687 KB) | DOI: 10.30598/barekengvol16iss4pp1271-1282

Abstract

One of the five human senses referred to as photoreceptors is the eye because the eye is very sensitive to light stimuli. Refractive abnormalities in the eyes are often experienced, which are abnormalities that occur when the eyes cannot see clearly in the open or blurred vision. An unhealthy lifestyle is a trigger for an increase in individuals who experience complaints of eye diseases. In diagnosing a disease, doctors need patient information in the form of symptoms experienced so that patients can be treated immediately. Information in the form of symptoms and types of eye diseases can be used to make conjectures about eye diseases through the structure of BN. The symptom information and type of the disease are represented through nodes, while the relationships are represented through the edge. BN is one of the Probabilistic Graphical Models (PGM) consisting of nodes and edges. BN is also known as a direct acyclic graph (DAG), which is a directed graph that does not have a cycle. The approach method used is scored based on the evaluation process with the bic scoring function. The algorithm used in this study is the HC algorithm. The research data used consisted of 52 symptoms and 15 eye diseases. The results of the study were obtained by the final structure of BN formed by the HC algorithm produced 93 edges and 65 connected nodes, and the probability value of the disease and the symptoms of the disease in the eye.
SENTIMENT ANALYSIS WITH LONG-SHORT TERM MEMORY (LSTM) AND GATED RECURRENT UNIT (GRU) ALGORITHMS Putera Khano, Muhammad Nazhif Abda; Saputro, Dewi Retno Sari; Sutanto, Sutanto; Wibowo, Antoni
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss4pp2235-2242

Abstract

Sentiment analysis is a form of machine learning that functions to obtain emotional polarity values or data tendencies from data in the form of text. Sentiment analysis is needed to analyze opinions, sentiments, reviews, and criticisms from someone for a product, service, organization, topic, etc. Recurrent Neural Network (RNN) is one of the Natural Language Processing (NLP) algorithms that is used in sentiment analysis. RNN is a neural network that can use internal memory to process input. RNN itself has a weakness in Long-Term Memory (LTM). Therefore, this article examines the combination of Long-Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) algorithms. GRU is an algorithm that is used to make each recurrent unit able to record adaptively at different time scales. Meanwhile, LSTM is a network architecture with the advantage of learning long-term dependencies on data. LSTM can remember long-term memory information, learn long-sequential data, and form information relation data in LTM. The combination of LSTM and GRU aims to overcome RNN’s weakness in LTM. The LSTM-GRU is combined by adding GRU to the data generated from LSTM. The combination of LSTM and GRU creates a better performance algorithm for addressing the LTM problem.
A SIR-UC EPIDEMIC MODEL: THE ANALYSIS OF SUSCEPTIBLE-INFECTED-REMOVED (SIR) EPIDEMIC MODEL WITH THE COVERAGE OF HEALTH INSURANCE (UNCOVERED AND COVERED INDIVIDUALS) Sutanto, Sutanto; Saputro, Dewi Retno Sari; Christy, Alexander Yonathan; Baharum, Aslina
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0171-0178

Abstract

Susceptible-Infected-Removed (SIR) model is a widely used epidemic model that simulates the spread of infectious diseases within a population. It classifies individuals into susceptible, infected, and removed states, with the number of individuals in each state being time-dependent variables denoted by S(t), I(t), and R(t), respectively. The model considers direct contact transmission between infected and susceptible individuals. In developed countries, some people cannot afford medical treatment. In contrary, the recovery rate of infected individual in the population is directly proportional to the number of people receiving medical treatment. Affordable health insurance increases the number of people receiving medical treatment thus insurance should be considered aspect in epidemic model. The main purpose of this research is to analyze the effect of insurance on the SIR epidemic model. This research classifies individuals in both S(t) and I(t) based on their insurance coverage status. This model assumes permanent immunity for R(t), thus it is unnecessary to classify individuals in this state based on their insurance coverage status because they do not spread the disease nor have potential to be re-infected. Numerical simulation is organized to find the effect of insurance in SIR model by analyzing the equilibrium point. The result based on the equilibrium point suggests that the insurance in SIR epidemic model: (1) decrease the I(t) because it accelerate the recovery rate; (2) decrease theR(t) because there is less infected people for recovery; (3) increase the S(t) because there is less infected people to transmit the disease, compared to the SIR model without the insurance.
GREEN DUAL-CHANNEL SUPPLY CHAIN MODEL WITH CONSIDERING PRODUCT RETURNS AND REMANUFACTURING PROCESS Amelia, Cynthia Rizky; Setiyowati, Ririn; Sutanto, Sutanto
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss4pp2451-2460

Abstract

The development of information and communication technology causes internet users to increase, so consumers are increasingly accustomed to buying products through online channels. This can encourage business people to carry out a sales strategy using two channels (offline and online) or commonly called Dual-Channel Supply Chain (DCSC). In its application, it is hoped that business people will create an environmentally friendly company to reduce carbon emissions. Therefore, business people create companies that implement the Green Dual-Channel Supply Chain (GDCSC) model. GDCSC in online channels has one drawback, namely that consumers cannot evaluate products accurately. This allows consumers to obtain defective products resulting in product returns. Returned defective products can be reprocessed through the remanufacturing process. To provide solutions to these conditions, centralization scenario is used to determine the optimal solution so that maximum profit is obtained. Based on the analysis, it shows that changes in price elasticity and product returns cause system profits to get smaller, while changes in price elasticity and energy efficiency levels cause system profits to get bigger.
TEXT CLASSIFICATION USING ADAPTIVE BOOSTING ALGORITHM WITH OPTIMIZATION OF PARAMETERS TUNING ON CABLE NEWS NETWORK (CNN) ARTICLES Saputro, Dewi Retno Sari; Sidiq, Krisna; Rasyid, Harun Al; Sutanto, Sutanto
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp1297-1306

Abstract

The development of the era encourages advances in communication and information technology. This resulted in the exchange of information being faster because it is connected to the internet. One platform that provides online news articles is Cabel News Network (CNN), which has been broadcasting news on its website since 1995. The number of Cabel News Network news articles continues to increase, so news articles are categorized to make it easier for readers to find articles according to the category they want. Classification is a technique for determining the class of an object based on its characteristics, where the class label is known beforehand. One of the algorithms for classification is adaptive boosting (AdaBoost). The AdaBoost algorithm performs classification by building several weighted decision trees (stumps), then the class determination is based on the number of stumps with the highest weight. The AdaBoost algorithm can be combined with parameter tuning to avoid overfitting or underfitting resulting from a weak set of stumps. Therefore, this study implements the AdaBoost algorithm with parameter tuning on CNN news article classification. The data used in this study is CNN news article data from 2011 to 2022 sourced from the Kaggle page. The data is categorized into six classes, namely business, entertainment, health, news, politics, and sports. This study uses two evaluation metrics, namely the accuracy value and the confusion matrix to measure the performance of the AdaBoost algorithm. The accuracy value obtained is 0,78763, the precision value is 0.91, the recall value is 0.85, and the F1 score value is 0.88.
PEMBERDAYAAN UMKM BERBASIS KAYU DI DESA PANDEYAN, KABUPATEN BOYOLALI: INDUKSI TEKNOLOGI DAN OPTIMALISASI LIMBAH KAYU UNTUK PRODUK KREATIF DAN BRIKET Nughthoh Arfawi Kurdhi; Dewi Retno Sari Saputro; Purnami Widyaningsih; Sutanto, Sutanto; Ririn Setiyowati; Ade Susanti; Dwi Purnama; Nugroho Arif Sudibyo
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 4: September 2025
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Program pengabdian masyarakat ini bertujuan memberdayakan UMKM berbasis kayu di Desa Pandeyan, Kabupaten Boyolali, melalui induksi teknologi dan optimalisasi pemanfaatan limbah kayu menjadi produk kreatif dan briket ramah lingkungan. Desa Pandeyan memiliki potensi kayu yang melimpah, namun selama ini limbah kayu belum termanfaatkan secara optimal sehingga menimbulkan masalah lingkungan dan hilangnya nilai tambah ekonomi. Kegiatan dilaksanakan melalui pelatihan teknologi induksi, workshop pengolahan limbah kayu, pembuatan briket, pendampingan produk kreatif, serta dukungan hibah laptop, kamera, dan domain hosting untuk digital marketing. Hasil kegiatan menunjukkan peningkatan keterampilan UMKM dalam mengolah limbah kayu menjadi produk bernilai tinggi, sekaligus memperluas akses pasar melalui platform digital Martha Meubel. Program ini berdampak positif secara teknis, ekonomi, sosial, dan lingkungan, serta berpotensi menjadi model replikasi bagi pengembangan ekonomi kreatif berkelanjutan.
Kualitas Air Permukaan di Sekitar Tempat Pembuangan Akhir Sampah Galuga, Kecamatan Cibungbulang, Kabupaten Bogor Ramadhan, Farid; Syahrulyati, Teti; Sutanto, Sutanto
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i9.61608

Abstract

Isu kelestarian lingkungan, terutama terkait dengan pencemaran oleh limbah sampah, menjadi perhatian penting dalam pengelolaan kota besar. Tempat Pembuangan Akhir (TPA) Sampah merupakan sumber pencemar utama, menghasilkan air lindi yang mencemari lingkungan sekitarnya. Penelitian ini bertujuan untuk menganalisis kualitas air permukaan di sekitar TPA Sampah Galuga, Kabupaten Bogor, pada tahun 2024. Melalui pengumpulan data dan analisis parameter kimia, fisika, dan mikrobiologi air, penelitian ini juga bertujuan untuk mengidentifikasi dampak pengelolaan TPA Sampah Galuga, terutama melalui Instalasi Pengolahan Air Limbah (IPAL), terhadap lingkungan sekitarnya. Hasil penelitian menyajikan gambaran tentang dampak pencemaran lingkungan yang disebabkan oleh Tempat Pembuangan Akhir (TPA) Sampah Galuga. Air di sekitar TPA tersebut telah melebihi batas maksimum yang diizinkan untuk beberapa parameter, yang berarti telah melampaui standar kualitas air Kelas III yang ditetapkan. Berdasarkan Indeks Kualitas Air (IKA), beberapa lokasi menunjukkan kualitas air baik, sedang, atau buruk. Namun, secara keseluruhan, rata-rata IKA menunjukkan bahwa kualitas air di sekitar TPA Galuga masuk ke dalam Indeks Kualitas sedang.
Pendampingan Pembenihan dan Pendederan Ikan Gurame (Osprhonemus gouramy) Sistem Kolam Terpal di POKDAKAN Samawa Fish, Desa Babakan Kecamatan Karanglewas, Banyumas Sutanto, Sutanto; Palupi, Mustika; Ufianah, Ufianah; Trianingtyas, Laela; Oktavia Kusuma, Rima
Artha Imperium: Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 1 (2024): 2024
Publisher : PT. Artha Genetikalab Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62521/k31py946

Abstract

Potensi sumber daya alam yang dimiliki Desa Babakan, Kecamatan Karanglewas, Banyumas yaitu sumber air yang melimpah sehingga memunculkan inisiatif masyarakat untuk mengembangkan usaha budidaya perikanan. POKDAKAN Samawa Fish menjadi pegiat usaha perikanan dengan fokus kegiatan pada pembenihan dan pendederan ikan gurame. Kendala yang dihadapi POKDAKAN Samawa Fish yaitu terbatasnya lahan budidaya serta kurangnya pengetahuan dan keterampilan anggota mengenai pembenihan ikan gurame. Tujuan pengabdian ini yaitu memberikan pelatihan dan pendampingan kepada POKDAKAN Samawa Fish mengenai pembenihan dan pendederan ikan gurame yang baik. Metode yang digunakan yaitu Participatory Rural Appraisal (PRA) yang melibatkan mitra secara aktif. Hasil pengabdian yang telah dilaksanakan yakni POKDAKAN Samawa Fish telah mengetahui skill dan pengetahuan mengenai pembenihan, pendederan ikan gurame, manajemen budidaya hingga pasca panen, dan pemanfaatan kolam terpal menjadi alternatif pemecahan masalah untuk mengatasi kendala di POKDAKAN Samawa Fish.
Analisis Hukum Penggunaan Air Sumur Tanah Untuk Usaha Pencucian Steam Kendaraan Bermotor Untuk Perlindungan Sumber Daya Alam Sutanto, Sutanto; Nuraeny, Henny; Gilalo, Jopie
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i10.61814

Abstract

Penelitian ini menganalisis penggunaan air sumur tanah untuk usaha pencucian steam kendaraan bermotor di Kabupaten Bogor dalam konteks perlindungan sumber daya alam. Meskipun regulasi, seperti UU No. 17 Tahun 2019 dan PP No. 43 Tahun 2008, telah mengatur kewajiban izin penggunaan air tanah, banyak pelaku usaha yang masih beroperasi tanpa izin resmi. Hal ini disebabkan oleh prosedur perizinan yang rumit, biaya tinggi, dan lemahnya pengawasan pemerintah. Dampak negatif dari praktik ini termasuk penurunan muka air tanah, konflik sosial, dan kerusakan lingkungan. Penelitian ini menggunakan metode yuridis normatif dan sosiologis untuk mengevaluasi efektivitas regulasi dan memberikan rekomendasi bagi pemerintah dan pelaku usaha dalam pengelolaan air tanah yang berkelanjutan.
PENGARUH MODEL PEMBELAJARAN PICTURE AND PICTURE BERBANTUAN WORDWALL TERHADAP HASIL BELAJAR IPAS SISWA KELAS IV SD Sutanto, Sutanto; Rosmaiyadi, Rosmaiyadi; Hendriana, Evinna Cinda
JURNAL PENDIDIKAN DASAR PERKHASA: Jurnal Penelitian Pendidikan Dasar Vol 11, No 2 (2025): Jurnal Pendidikan Dasar Perkhasa: Jurnal Penelitian Pendidikan Dasar
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jpdp.v11i2.4637

Abstract

This study aims to determine whether there is an effect of the Picture and Picture learning model assisted by Wordwall on the science (IPAS) learning outcomes of fourth-grade students at SDN 89 Singkawang. This research employed a quasi-experimental design with a posttest-only control design. The population consisted of all fourth-grade students at SDN 89 Singkawang, and the sampling technique used was total sampling. Data were collected through questionnaires and tests. The data analysis techniques included normality test, homogeneity test, t-test, effect size calculation, and response questionnaire analysis. The results of the study show that: (1) there is a significant difference in IPAS learning outcomes between the class using the Picture and Picture model assisted by Wordwall and the class using conventional learning, as indicated by the t-test results with t-count = 13.18 and t-table = 2.01 (t-count > t-table); (2) the Picture and Picture model assisted by Wordwall had a large effect on students’ IPAS learning outcomes, with an effect size value of 1.89; and (3) students responded positively to the Picture and Picture learning model, with a positive response rate of 65%. Based on these findings, the Picture and Picture learning model assisted by Wordwall can be used as an effective alternative learning model and medium.
Co-Authors Achmad Rodhi Achmad Subandrio, Achmad Ade Heri Mulyati, Ade Heri Ade Susanti Adeldarma Hikmatullah, Abdillah Adhitama, Ria Puan Adi Nugroho, Khoiruddin Adzakie, Haabi Luckmanoor Agus Darmuki Agus Harjanto Albar, Luthfirmansyah Ali Manshur Alip Sugianto, Alip Amelia, Cynthia Rizky Ananda Putra, Fajar Andreas N, Djoko Annisa Annisa Antoni Wibowo Apriyanti, Mahyuni Arief, Budi Aritonang, Erikson Vri Anugrah Azijah, Izattul Baharum, Aslina Bambang Pramudya Bina Lohita Sari Budiyono Budiyono Cahya, Afif Nur Cendriono, Nanang Christopher, James Christy, Alexander Yonathan Danang Widjajanto Daryono, Sapto Kis Devita Widyaningtyas Yogyanti Dewi Nur Anisa, Shopia Dewi Retno Sari Saputro Dewi Retno Sari Saputro, Dewi Retno Dismas Suparmo Dwi Indriani Dwi Iswahyuni Dwi Purnama Dwiyana, Amelia Eka Herlina Eka Intan Kumala Putri Eko Teguh Paripurno Erik Aditia Ismaya Evinna Cinda H F. Harsono, Cecilia Faozi, Aditya Zaenalfi Farida Nuraeni Fathurrachman, Muhammad Fathurrachman, Muhammad Galih Setiawan Nurohim Gomes, Nazario Guntur S, Guntur Handayani, Rr. Sri Harefa, Faonaso Harsono, Cecilia F Hartono, Gia Harun Al Rasyid Helta Anggia Henny Nuraeny Heri, Ade Heribertus Ary Setyadi Herman Fikri, Herman Hermawan, Ujang Heru Sigit Purwanto Hutabarat, David Hotman I Gde Basten, I Gde Imam Ghozali Irvan Wiradinata Iryani, Ani Iryani, Ani J., Tania Jordy Kantona, Emmanuel Kartiwi, Asti Putri Khomariah, Nurul Kusuma, Rima Oktavia Kusumastuti, Sri Lestari latifah K Darusman Lestari, Arifah Mufidah Linda Jati Kusumawardani Listianti, Elisa M. Yogi Riyantama Isjoni Made Suandika Maharani, Restu Dewinta Marsudi Utoyo Melianus Salakory, Melianus Mohammad Kanzunnudin Muhammad Fathurrahman Muhammad Irfan Muhammad Rizki Saputra, Muhammad Rizki Mutadin, Ali Navalino, Djoko A Nila Sari, Fadhila Ni’am, Dafi’ Ichsani Aysar Nor Hayati, Saropa Nughthoh Arfawi Kurdhi, Nughthoh Arfawi Nugroho Arif Sudibyo Nur Hidayati Nurani Nurani Nurulia Susanti, Nurulia Palupi, Mustika Pandini, Sapitri Pertiwi, Aditya Endah Pradina, Sisca Chandra Prasetyadi, Carolus Prianggono, Margahayu Purnami Widyaningsih Putera Khano, Muhammad Nazhif Abda Qoonita, Najihah Raharjo, Ronal Ramadhan, Farid Ririn Setiyowati Riyantini, Atik Rizkita, Nabiella Zahra Rosadi rosadi Rosdiana Rosdiana Rosmaiyadi S. Anwar Sabdono, Wilis Aji Salamat, Juanito SANTOSO SANTOSO Saputra, Putu Sari, Angela Bayu Pertama Septiningsih, Riana Setiyowati, Ririn Shobri, Taufiq Sidiq, Krisna Siti Fatimah Siti Warnasih Soesilo, Joko Soeyoko Soeyoko Sri Rejeki Sri Surachmi W Sri Widodo Suasa, I Made Sudarwan Danim Sugeng Juwono Mardihusodo Suhermanto, Suhermanto Sukresna, Yobi Susanto, Amin Sutanto Sutarto Sutarto Sutoyo, Muhammad Rayhan Suyud Warno Utomo Syafii, Muhammad Lukman Tamri, Tamri Teti Syahrulyati, Teti Toto Supriyanto Tri Aminingsih Trianingtyas, Laela Ufianah, Ufianah Uswatun Hasanah, Laili Wahidudin, Wahidudin Wawan Nugroho Wawan Shokib Rondli Winaro, Bowo Wiyati, Indar Yulian Syahputri Yusgiantoro, Purnomo Zahra, Mutiara Zuhri, Moh Sayful