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Particle Swarm Optimization – Extreme Learning Machine with Decreasing Inertia Weight for COVID-19 Prediction in Surabaya Tuloli, Mohamad Handri; Anam, Syaiful; Nur Shofianah
The Journal of Experimental Life Science Vol. 13 No. 3 (2023)
Publisher : Graduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jels.2023.013.03.01

Abstract

COVID-19 has spread all throughout the world, even to Indonesia. Surabaya becomes one of Indonesia's major cities where COVID-19 is fast spreading, culminating in a large number of positive cases and over 1000 deaths from the disease by November 2020. The number of positive COVID-19 cases predicted can be utilized to limit hospital facility availability and develop plans and policies for tackling the illness outbreak. One of the many prediction systems identified is the Extreme Learning Machine (ELM). ELM has a quick and precise training speed. However, the performance of ELM depends on the number of neurons. When the number of neurons is not precisely specified, prediction accuracy suffers. Particle Swarm Optimization (PSO) has the ability to optimize the number of node ELM neurons so the ELM can achieve better results. The number of neurons is determined using Particle Swarm Optimization (PSO) with decreased inertia weight. As a result, this research proposes predicting COVID-19 instances in Surabaya using a hybrid of PSO and ELM (PSO-ELM) with decreased inertia weight. The studies reveal that the offered techniques with different activation functions work comparably well in predicting COVID-19 instances in Surabaya. The best MAPE is achieved using the sigmoid activation function with the number of hidden layer nodes around . Keywords: Covid-19, Optimization, Prediction, PSO-ELM.
Liver Cirrhosis Classification using Extreme Gradient Boosting Classifier and Harris Hawk Optimization as Hyperparameter Tuning Nalasari , Lista Tri; Anam, Syaiful; Shofianah, Nur
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 2 (2025): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i2.730

Abstract

This study proposes an early diagnosis model based on Machine Learning for liver cirrhosis classification using the Hepatitis C dataset, which is the leading cause of cirrhosis, from UCI ML. The classification is performed using the XGBoost algorithm because it provides high accuracy and time efficiency based on previous studies. However, these advantages depend on the combination of its hyperparameters set. XGBoost has a large number of hyperparameters, which can be time-consuming for researchers to manually configure. Therefore, this study proposes combining XGBoost with the Harris Hawks Optimization (HHO) algorithm for hyperparameter tuning. HHO is implemented with a hawk population of 40 and maximum iterations set at 25. The proposed XGBoost-HHO model provides an average performance of 99.34% for accuracy, MAR, MAP and 99.33% for Macro F1-score. These performances are achieved with the shortest processing time across 25 experiments compared to other combination models. The performance of the XGBoost-HHO model shows more significant increase in performance and reduction in overfitting compared to the standard XGBoost, SVM, RF models, as well as several other combined models including RF-HHO, SVM-HHO, XGBoost-PSO, and XGBoost-BA. Additionally, based on the feature importance analysis of the XGBoost-HHO algorithm, Alanine Aminotransferase (ALT), Protein, and Gamma-glutamyltransferase (GGT) contribute the most to the classification process, with gain values of 11.21, 9.51, and 7.98, respectively. Overall, the findings of this study show that the XGBoost-HHO algorithm combination provides competitive performance and can serve as an excellent alternative for liver cirrhosis classification in terms of both accuracy and time efficiency.
DEBIROKRATISASI PELAYANAN: “ANALISIS PELAYANAN RETRIBUSI PARKIR DI PAMEKASAN” Anam, Syaiful
Aspirasi: Jurnal Ilmiah Administrasi Negara Vol 2, No 2 (2017): JURNAL ASPIRASI AGUSTUS 2017
Publisher : Universitas Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53712/aspirasi.v2i2.318

Abstract

The paradigm of public administration to putting public services of the shift in the main focus of the public bureaucracy an substance, arguing that it reduces the portion of the government's role that the single agent shifts to citizens in the position of sovereign owners and is always encouraged to participate in the implementation of development and public services. Maining approach of public is not the state but the putting citizen. Democratization is an analysis of the modern bureaucratic theory of classical bureaucratic forms that prioritize the role and function of government structures in governance of productivity-based and professional organizations. The perspective of the administration of public becomes the administration of public or administration by public which becomes the key issue of bureaucracy in the service barometer. Inherent with the public service, that public policy is one of the crucial domains in it. Good policy, Good Public Policy will realize quality public service. Regional Regulation (Perda) of Pamekasan Regency Number6 Year 2010About Retribution of Parking Service at Public Road and Levy of Special Parking Area in Pamekasan Regency is one of the articulation form of more concrete governmental interest in the form of regional regulation in principle to maximize the role of government as a public servant that is giving optimal service to the community, providing legal certainty about parking management, giving parking regulators certainty.
Pendampingan Penyusunan Laporan Keuangan Masyarakat atau Produsen Budidaya Jamur Tiram Dalam Meningkatkan Penghasilan Keluarga di Desa Kurungan Nyawa I Rifa'i, Muhamad Nanang; Ismail, Khafid; Anam, Syaiful
Jurnal Indonesia Mengabdi Vol. 3 No. 1 (2021): June Edition
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) STKIP Nurul Huda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30599/jimi.v3i1.1613

Abstract

This dedication is motivated because the preparation of financial report books for oyster mushroom cultivation in Kurungan Nyawa I village has not been maximized, even though 60% of the villagers have been in this business for quite a long time for the last 5 years. So far, bookkeeping is only written on a piece of paper and is likely to be lost. Some concrete solutions offered in the outreach program to the community regarding assistance in preparing financial reports for oyster mushroom cultivation are (socialization, training, and monitoring). The results of this activity include: 1) being able to produce bookkeeping correctly 2) being able to help bookkeeping management so that it looks neat. With the orderly management of financial statements, it will affect the stability of the oyster mushroom cultivation so that it can improve the family economy.
Pendampingan Pembuatan Inovasi Alat Pres Baglog untuk Meningkatkan Jumlah Produksi dan Kualitas pada Budidaya Jamur Tiram Nanang Rifa'i, Muhamad; Ali, Mufti; Muhtashor, Imam; Anam, Syaiful; Muzaky, Ahmad; Ikhwanudin, Tedy; Maulana, Zacki Ibnu
Jurnal Indonesia Mengabdi Vol. 6 No. 2 (2024): December Edition
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) STKIP Nurul Huda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30599/jimi.v6i2.3920

Abstract

Artikel ini bertujuan untuk 1) Meningkatkan jumlah produksi baglog jamur tiram, 2) Meningkatkan kualitas baglog jamur tiram. Metode atau rencana pelaksanaan PkM ini adalah 1) Tahap Observasi Lapangan, 2) Tahap identifikasi temuan dilapangan, 3) Tahap perencanaan dan pembuatan alat, 4) Tahap uji coba alat, 5) Tahap evaluasi alat. Hasil yang didapat dari PkM ini yaitu 1) Alat yang dirancang dan dibuat dapat meningkatkan jumlah produksi baglog yang semula dalam 1 jam memproduksi 50 baglog sedangkan menggunakan alat pres baglog menjadi 75 baglog per 1 jam, 2) Dengan menggunakan alat pres baglog juga dirasakan oleh produsen dalam hal kualitas dengan asumsi semakin padat media pada baglog itu akan semakin bagus dalam proses pertumbuhan jamur tiram. Luaran dari PkM ini yaitu menghasilkan alat pres yang bekerja semi otomatis untuk meningkatkan jumlah produksi dan kualitas baglog.
ZINA DALAM PRESPEKTIF HUKUM ISLAM DAN UNDANG-UNDANG NO. 1 TAHUN 2023 TENTANG KITAB UNDANG-UNDANG HUKUM PIDANA Anam, Afdolul; Anam, Syaiful
IQTISODINA Vol. 8 No. 1 (2025): Juni
Publisher : LPPM IAI Nazhatut Thullab

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

Abstract

This normative legal research aims to examine how Islamic law differs from Positive Law in Indonesia in this case Law No. 1 of 2023 concerning the Criminal Code regarding the act of adultery. Data sources obtained through comparative analysis studies. In general, there are differences in legal concepts between Islamic Law and Positive Law Law No. 1 of 2023 concerning the Criminal Code regarding the act of adultery, especially in terms of the punishment given. Islamic law provides a penalty of one hundred lashes for perpetrators of adultery, while Law No. 1 of 2023 concerning the Criminal Code states that adultery is a criminal act that can be punished with a sentence of 6 months to 1 year
Health Risk Classification Using XGBoost with Bayesian Hyperparameter Optimization Anam, Syaiful; Purwanto, Imam Nurhadi; Mahanani, Dwi Mifta; Yusuf, Feby Indriana; Rasikhun, Hady
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 3 (2025): June 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i3.6307

Abstract

Health risk classification is important. However, health risk classification is challenging to address using conventional analytical techniques. The XGBoost algorithm offers many advantages over the traditional methods for risk classification. Hyperparameter Optimization (HO) of XGBoost is critical for maximizing the performance of the XGBoost algorithm. The manual selection of hyperparameters requires a large amount of time and computational resources. Automatic HO is needed to avoid this problem. Several studies have shown that Bayesian Optimization (BO) works better than Grid Search (GS) or Random Search (RS). Based on these problems, this study proposes health risk classification using XGBoost with Bayesian Hyperparameters Optimization. The goal of this study is to reduce the time required to select the best XGBoost hyperparameters and improve the accuracy and generalization of XGBoost performance in health risk classification. The variables used were patient demographics and medical information, including age, blood pressure, cholesterol, and lifestyle variables. The experimental results show that the proposed approach outperforms other well-known ML techniques and the XGBoost method without HO. The average accuracy, precision, recall and f1-score produced by the proposed method are 0.926, 0.920, 0.928, and 0.923, respectively. However, improvements are needed to obtain a faster and more accurate method in the future.
Peningkatan Kesadaran Hak Asasi Manusia Bagi Narapidana di Lapas Narkotika Kelas IIA Pamekasan Sebagai Upaya Rehabilitasi Sosial Bari, Abdul; Taufik, Achmad; Anam, Syaiful; Syaiful, Syaiful; Yunanto, Fredy; Hasbullah, Hasbullah; Rudiyanto, Mohammad; Kasanova, Ria
Alamtana: Jurnal Pengabdian Masyarakat UNW Mataram Vol 6 No 1 (2025): Edisi Mei 2025
Publisher : LPPM UNIVERSITAS NAHDLATUL WATHAN MATARAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/jaltn.v6i1.2463

Abstract

Abstract: Pendidikan hak asasi manusia (HAM) bagi narapidana di Lapas Narkotika Kelas IIA Pamekasan merupakan salah satu upaya rehabilitasi sosial yang bertujuan untuk meningkatkan kesadaran tentang hak-hak dasar dan kewajiban mereka sebagai warga negara. Program ini dirancang untuk memberi pemahaman yang lebih dalam kepada narapidana tentang hak asasi mereka, baik selama menjalani hukuman di lapas maupun setelah reintegrasi ke masyarakat. Program edukasi ini melibatkan penyampaian materi mengenai hak-hak dasar, kewajiban sebagai warga negara, serta perlindungan hukum yang seharusnya mereka terima, dengan pendekatan yang partisipatif dan interaktif. Pelaksanaan program dilaksanakan pada November hingga Desember 2024, dengan melibatkan 60 narapidana sebagai peserta. Metode yang digunakan mencakup seminar, diskusi kelompok, dan studi kasus, yang dirancang agar peserta dapat aktif berpartisipasi dan mengaitkan materi dengan pengalaman mereka sendiri. Evaluasi menunjukkan adanya peningkatan signifikan dalam kesadaran narapidana mengenai hak asasi mereka, serta perubahan sikap dan pandangan mereka terhadap kewajiban yang harus mereka jalani. Program ini juga menunjukkan pentingnya peran fasilitator dan keterlibatan masyarakat luar dalam mendukung keberhasilan pendidikan HAM di lapas. Meskipun demikian, beberapa tantangan seperti keterbatasan logistik dan waktu dihadapi selama pelaksanaan. Program ini memberikan kontribusi terhadap proses rehabilitasi sosial narapidana, dan memperkuat pendekatan humanistik dalam pembinaan di lembaga pemasyarakatan. Dampaknya terlihat dari peningkatan partisipasi aktif narapidana dalam kegiatan pembinaan, terciptanya iklim interaksi yang lebih positif antara warga binaan dan petugas lapas, serta tumbuhnya kesadaran kolektif akan pentingnya penghormatan terhadap martabat manusia.
Ring of Weight Enumerator of Integer Azaliyah, Syarifatul; Hamid, Nur; Alghofari, Abdul Rouf; Anam, Syaiful
Indonesian Journal of Mathematics and Applications Vol. 2 No. 2 (2024): Indonesian Journal of Mathematics and Applications
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.ijma.2024.002.02.3

Abstract

 Invariant theory can be combined with coding theory to analyze the polynomial ring over its weight enumerator. For a certain class code, especially for self-dual doubly even code or type II code, the polynomials over its code satisfy the invarian condition. In this paper, we will  show that the ring of the weight enumerator over integer of self-dual doubly even code $d_{48}^+$ cannot be ganerated by the weight enumerator of self-dual doubly even code with code length n=8, 16, 24, 32 and 40. 
The Universality of the Universal Declaration of Human Rights: Does it merely express Western Values? Anam, Syaiful
Nation State: Journal of International Studies Vol. 1 No. 1 (2018)
Publisher : Faculty of Economics and Social Science, Department of International Relations, Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/NSJIS.2018v1i1.85

Abstract

The debate over the universality of Universal Declaration of Human Rights remains taking place. Apart from the fact that the document remains popular and has been encouraged by many countries around the world. The debate revolves around values and cultural differences among countries claiming that Western values have been predominating the content of the declaration itself. This essay argues that the dispute towards the universality of UDHR would likely form a robust standard and values of internationally recognized human rights as long as a cross-cultural and cross-philosophical talk could be encouraged.
Co-Authors A.Mirza Fauzan Gazali, A.Mirza Fauzan Abd. Aziz Abdul Bari Abdul Rouf Alghofari Achmad Noor Fatirul Achmad Taufik Adella Novita Aeri Rachmad Agus Suryanto Ahmad Afif Supianto Ahmad Mubarak Munir Aji, Kurniawan Akhmad Khumaidi Akhodiyah, Sulistina Alfian Hidayat Alifiobono, Adeva Amar, Siti Salama Anam, Afdolul Andi Kurniawan Andreas Andriani , Fitri ani ani Antariksa Sudikno Ardiyansa, Safrizal Ardana Aris Munandar Asyidiqi, Hasbi Asyrofa Rahmi, Asyrofa Ayu Dwi Lestari, Cynthia Ayudaning D , Pamungkas Aziz Bukhori, Hilmi Baehaqi Bukhori, Hilmi Aziz Bustamin, Syamsumar Choa, Yeshua Austin Harvey Deny Tisna Amijaya, Fidia Devita Sari, Nindy Dian Eka Ratnawati Dian Sisinggih Dian Sisingih, Dian Dwi Mifta Mahanani, Dwi Mifta Edi Satriyanto Fahrul Riza Fajri, Haidar Ahmad Fauzi, Rahman Ali Feby Indriana Yusuf Feny Rita Fiantika Fery Widhiatmoko Fisnia Pratami Fitriah, Zuraidah Guci, Abdi Negara Gustiningsih Hapsani, Anggi Habibi, Nur Syakherul Hadi Wijoyo, Satrio Hady Rasikhun Hamdani, Ibnu Mansyur Hamiduddin, Hamiduddin Hanayanti, Citra Siwi Handayani, Nilam Hasbullah Hasbullah Hdayat, Alfian Helen Yuliana Angmalisang Husni , Valencia Ikhwanudin, Tedy Ilyas, Muhaimin Imam Nurhadi Purwanto Indah Yanti Irma Noervadila Isnani Darti Judijanto, Loso Julianto, Eric Karjaya, Lalu Puttrawandi Karsim, Karsim Kasanova, Ria Kasyful Amron Khafid Ismail Khairurrizki, Khairurrizki Khozaimi, Ach. Kurniadi, Harso Kusumawinahyu, Wuryansari M Kusumo, R. Budiarianto Suryo Lailatul Jannah, Noor Lestari, Baiq Ulfa Septi Lestari, Cynthia Ayu Dwi Lestari, Silvya Anggun Lina, Roidah Maharani, Natasha Clarissa Maharani, Natasha Clarrisa mahmudy, wayan f Mala Mardialina Mar'atun, Chairanil Marjono Marjono Marsum Marsum Maulana, Avin Maulana, M. Idam Maulana, Zacki Ibnu Miftahus Surur, Miftahus Mila Kurniawaty Muhammad Rivai Muharini Kusumawinahyu, Wuryansari Muhtashor, Imam Muzaky, Ahmad Nagib, Rima Abdul Mujib Nahdhiyah, Ulfatun Nalasari , Lista Tri Nanang Rifa'i, Muhamad Ni Wayan Surya Wardhani Nirmalasari, Ririn Nono Hery Yoenanto Noor Hidayat, Noor NUR HAMID Nur Shofianah Nurdiana, Titin Pardede, Hilman Ferdinandus Prasetyo, Onky Puspito, Bayu Putra, M. Rafael Andika R. Suhaimi Rahmawati Rifa'i, Dhila Silvia Rahmawati, Reny Rosalina Ramdani, Ahmad Ratri, Dian Kusumaning Rifa'i, Muhamad Nanang Rifa’i , Muhamad Nanang Rini Aristin, Rini RINI RINI Rizki, Kurnia Zulhandayani robbaniyah, qiyadah Ronaldo, Reza Rosi, Muhammad Fathur Rosid, Muchamad Rosulana, Ahmad Rudiyanto, Mohammad Sabilla, Kinanti Rizsa Safitri, Anisa Dewi Saiful Bukhori Saputri, Levia Sari, Meylita Sa’adah, Umu Shofianah, Nur Siska Siska Sofia Mendez Suhaimi Suhaimi Sukma Umbara Tirta Firdaus, Sukma Umbara Tirta Sundari Sundari Suryani Suryani Syaiful . Syarifatul Azaliyah, Syarifatul Trisilowati Trisilowati, Trisilowati Tuloli, Mohamad Handri Tuminem, Hannan Azka Umbara, Sukma Utomo, M. Chandra Cahyo Utomo, Yudo Bismo Uyun, Nazdrotul Very Dermawan Vicky Zilvan, Vicky Wahada, Listiatul Wayan Firdaus Mahmudy Widiyanto Widiyanto Widyantoro, Didik Wijaya, Komang Agus Arta Wuryasari Muharini Kusumawinahyu Yuli Kartika Dewi Yunanto, Fredy Zabadi, Fairus Zulkarnain Zulkarnain