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All Journal Microbiology Indonesia SMATIKA Information System for Educators and Professionals : Journal of Information System Information Management For Educators And Professionals (IMBI) Syntax Literate: Jurnal Ilmiah Indonesia ALQALAM Amwaluna Jurnal Ekonomi dan Keuangan Syariah Syntax Idea JURSIMA (Jurnal Sistem Informasi dan Manajemen) Jurnal Dirosah Islamiyah JuTEkS (Jurnal Teknik Elektro dan Sains) Tadbir: Jurnal Manajemen Dakwah Jurnal Sains Indonesia Formosa Journal of Multidisciplinary Research (FJMR) JAKA (Jurnal Akuntansi, Keuangan dan Auditing) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Widyaparwa Gunung Djati Conference Series JURSIMA Jurnal Manajemen Dan Bisnis Ekonomi DIROSAT: Journal of Education, Social Sciences & Humanities AMMA : Jurnal Pengabdian Masyarakat Jurnal Ilmiah Ekonomi dan Manajemen Akuntansi: Jurnal Riset Ilmu Akuntansi AN-NIDA: Jurnal Pendidikan Islam
Saeful Anwar
Universitas Ibn Khaldun Bogor
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Social Sciences Other

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The Educational Curriculum to Prepare Scholars in Muhammad Natsir’s book Fiqhud Da'wah and Yusuf al-Qaradawi’s book Thaqafah Daiyah Ganang Prihatmoko Joko; Saeful Anwar; Akhmad Alim; Abas Mansur Tamam
Formosa Journal of Multidisciplinary Research Vol. 3 No. 2 (2024): February 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjmr.v3i2.8063

Abstract

Islamic higher education should ideally produce a generation proficient in religious knowledge and equipped with skills to navigate contemporary challenges. Unfortunately, the current perception of Islamic higher education is that it possesses low quality, particularly concerning graduates of Islamic studies programs who are considered less capable of keeping up with the pace of modern developments. Consequently, there is a need for a reconstruction of the education system, especially focusing on the curriculum as the foundation of learning, to ensure that educational objectives are achieved optimally. This research aims to examine the curriculum presented in two books: "Tsaqafah Daiyah" by Yusuf Qardhawy and "Fiqhud Dakwah" by Muhammad Natsir. The research methodology employed is qualitative, utilizing observational methods, interviews, document analysis, and directed discussion forums. The research findings conclude that both books can serve as references in formulating an ideal curriculum for educating scholars in higher education. This curriculum is expected to provide the basis for preparing scholar candidates at the undergraduate level with a comprehensive understanding and reinforcement of Islamic jurisprudence. This knowledge should be integrated with a deep understanding of practical insights and relevant materials to address various challenges faced by the community and the nation.
The Tashbehs in Surat Al-Baqara Verses 1-18 and Its Education Implication Ade Juang Eko Praseyo; Saeful Anwar; Abas Mansur Tamam; Akhmad Alim
Formosa Journal of Multidisciplinary Research Vol. 3 No. 2 (2024): February 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjmr.v3i2.8119

Abstract

The aim of studying this topic is to know the implications of the tashbehs mentioned in Surah Al-Baqarah verses 1-18 related to the educational aspect. The study concluded that in Surah Al-Baqarah verses 1-18, there are methods of tashbehs, and they carry moral connotations related to the educational aspect. These indications can be extracted from methods and modalities used as a methodology for teaching. By using tashbehs in the education process, it will be better, because the education materials are easier to understand and stronger to influence. Also, the tashbeh methods enhances the emotional relationship between the teachers and the students, making the lessons more acceptable. Thus, it can be said that the use of tashbeh as an advocacy tool has a positive impact on education.
Implementasi Data Mining FP-Growth Untuk Analisis Pola Pembelian Pada Transaksi Penjualan Komariyah, Siti; Saeful Anwar; Bani Nurhakim
JURNAL MANAJEMEN DAN BISNIS EKONOMI Vol. 1 No. 2 (2023): April : JURNAL MANAJEMEN DAN BISNIS EKONOMI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (405.814 KB) | DOI: 10.54066/jmbe-itb.v1i2.128

Abstract

In the business world, efforts are needed as much as possible in gaining profits. The accuracy of marketing strategies can be seen from the consumer spending pattern database obtained from sales transactions on fashion products that are usually purchased simultaneously by customers. Information about the Pattern of Purchasing Customer Shopping that is Inaccurate at the Ayu Collection Online Shop Shop has caused promotional policy to be one of the causes of the store to suffer losses. One way to get an accurate customer shopping pattern is to use data mining. One of the methods contained in data mining is the association analysis method, in the association analysis there are several algorithms, one of which is the FP-Growth algorithm. In this study several association rules were found by applying the Frequent Pattern (FP-Growth) algorithm from the transaction database Fashion sales at Ayu Collection Online Shop. This association rules will later be used as decision making material to develop successful marketing and sales strategies. The findings of this study are in the form of product recommendations, namely the proposal of two or more items based on the findings of the FP-Growth algorithm using a 50% confidence value and a minimum support of 40%, this study uses assistance from the rapidminer tools version 9.9.
Penerapan Algoritma K-Means Clustering Pada Tingkat Inflasi Kota Di Indonesia Novia Wulandari; Nisa Dienwati Nuris; Saeful Anwar
Akuntansi Vol. 2 No. 2 (2023): Juni : Jurnal Riset Ilmu Akuntansi
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/akuntansi.v2i2.235

Abstract

Inflation is a general tendency to increase the prices of goods and services, and it happens all the time. when the prices of domestic goods and services rise, inflation will rise. Depreciation causes the prices of goods and services to rise. Uncontrolled inflation can result in losses for society and the government. Therefore, an appropriate study is needed to map the dynamics of inflation in a region. One way to map the inflation rate is clustering. Clustering is dividing data into groups with the same characteristics. The author took the initiative to analyze the urban inflation rate in Indonesia from 2020 to 2022. The data is sourced from the Central Statistics Agency (BPS) website. This analysis uses the K-Means Clustering method with 5 clusters. the group with the highest inflation is in cluster 0, the high inflation group is in cluster 1, the moderate inflation group is in cluster 2, the low inflation group is in cluster 3, and the lowest inflation is in cluster 4. by categorizing the inflation rate of cities in Indonesia, it can be seen which cities in Indonesia have very high, high, medium, low and very low inflation rates.
Analisis Kelayakan Kualitas Air untuk Mengoptimalkan Pertumbuhan Ikan Lele Berbasis Fuzzy Logic Mamdani  Rahman, Riem Rahayu; Adhitya Wibisono; Rahmah Mulanti; Hadianto Nur Fadhli; Ghaida Refiana Zahra; Anisa; Novayanti Magdalena Gultom; Resti Dwi Anjani; Azkal Muhammad Azkiya; Sofyan Alhaq; Saeful Anwar; Naufal Ridho Setyo Laksono; Rahma Amelia Purnama; M Danang Mukti Darmawan; Rifqi Nurfadillah; Ester Angeline; Nanda Octavia; Wiyoto Wiyoto; Ridwan Siskandar
Jurnal Sains Indonesia Vol. 5 No. 1 (2024): Vol 5 No 1 (2024): Volume 5, Nomor 1, 2024 (Maret)
Publisher : PUSAT SAINS INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59897/jsi.v5i1.199

Abstract

Tujuan dari penelitian ini adalah untuk menganalisis kelayakan kualitas air di kolam lele untuk mengoptimalkan pertumbuhan ikan lele. Air merupakan acuan parameter yang perlu diperhatikan untuk keberlangsungan pertumbuhan ikan lele, dengan kondisi air pada kolam yang kurang optimal dapat menyebabkan lambatnya pertumbuhan dan dapat mengancam kegagalan panen. Pada penelitian ini digunakan metode fuzzy logic untuk mengukur parameter kualitas air pada kolam ikan lele berdasarkan pH, suhu dan amonia. Penelitian ini dilakukan pada tanggal 30 April - 14 Mei 2024 di Hatchery Perikanan, Sekolah Vokasi IPB Sukabumi di Jalan Sarasa No. 45 Kecamatan Cibeureum, Kota Sukabumi, Jawa Barat. Data didapatkan dari pengumpulan data dan analisis data. Hasil dari penelitian ini yaitu kualitas air dalam bak 9 memiliki kategori tidak layak dengan nilai 25% sedangkan untuk bak lainnya masih dalam kategori cukup layak dengan nilai 50-60%. Hal ini dapat menjadi acuan untuk mengoptimalkan pertumbuhan dengan cara monitoring serta penanganan yang baik terhadap kualitas air.
PENGELOMPOKAN DAERAH BENCANA ALAM MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING Isni Rinjani; Saeful Anwar; Ruli Herdiana
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 3 No. 1 (2023): Maret : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v3i1.417

Abstract

Natural disasters are events that significantly affect the human population. Landslides, earthquakes, floods, fires, droughts, earthquakes and other natural disasters often occur in West Java Province. Information and technology skills are developing quite fast nowadays. Thanks to modern technology, anyone can access and obtain information without restrictions. Information is very important for every aspect of life. One of them is information about natural disasters, because disaster management needs this kind of information. Data mining is a popular method for analyzing disaster data because it is considered a potential answer to disaster management challenges. Therefore, this study discusses the grouping of natural disaster areas for prediction of natural disaster areas in West Java with data mining techniques using the k-means clustering algorithm. The results of the study obtained 3 clusters including low clusters, medium clusters, and high clusters. The selected research source comes from the official website, namely West Java Open Data. The results of this research are expected to provide useful information in determining solutions to natural disaster management problems
Jigsaw Cooperative Learning Strategy In Islamic Religious Education Subjects Saeful Anwar
DIROSAT: Journal of Education, Social Sciences & Humanities Vol. 1 No. 1 (2023): Innovation in Education and Social Sciences Research
Publisher : Perkumpulan Dosen Fakultas Agama Islam Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58355/dirosat.v1i1.3

Abstract

Strategy is planning, steps and sequences to achieve a goal, so in learning educators must make a plan, steps in achieving goals . One of the effective learning strategies applied is the Jigsaw cooperative learning strategy. This research was made to determine the effectiveness of the implementation method application of Jigsaw cooperative learning in class VIII Islamic religious education subjects at SMP Negeri 3 Lelea, Indramayu Regency and to find out the benefits of Jigsaw cooperative learning strategies for educators and students. This research was conducted using qualitative methods with case studies at SMP Negeri 3 Lelea, Indramayu Regency. The data collection techniques used by researchers are interviews, observation, and documentation. However, because of the pandemic that is currently sweeping the world, researchers are focusing more on research on primary and secondary data by using basic books to clarify primary data and interviews with primary data sources, namely Islamic religious education teachers, and several students. The conclusion of this study is that the application of the learning process using Jigsaw cooperative learning in Islamic religious education subjects in class VIII SMP Negeri 3 Lelea Indramayu when the learning process takes place using this learning during online learning, Jigsaw learning becomes effective, students are more active , and there are several obstacles in implementing it online, including internet signal problems and group division. Learning by using Jigsaw cooperative learning has benefits, including benefits for educators, namely it is easier to teach students to respect the opinions of others, trust each other, share opinions and help each other, benefits for students. The benefits for students, one of which is that they can improve their learning achievement when learning to use the Jigsaw cooperative learning model.
Pengaruh Sistem Pengendalian Intern Berdasarkan Coso Framework Terhadap Persediaan Bahan Baku Herni Syahara; Muhamad Nur Afif; Saeful Anwar
JAKA (Jurnal Akuntansi, Keuangan, dan Auditing) Vol. 5 No. 2 (2024): JAKA (Jurnal Akuntansi, Keuangan dan Auditing)
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56696/jaka.v5i2.11694

Abstract

The objectives to be obtained in this research are to find out the following things: The control environment partially affects the internal control of raw material inventory, Risk assessment partially affects the internal control of raw material inventory, Control activities partially affects the internal control of raw material inventory, Information communication partially affects the internal control of raw material inventory, Monitoring partially affects the internal control of raw material inventory. Control environment, risk assessment, control activities, information communication and monitoring simultaneously influences internal control of inventory raw materials. The samples in this research were 86 people who were all employees of the warehouse department related to the internal control system for inventory at PT. Yongjin Javasuka Garment Sukabumi. The analytical method used is multiple regression analysis. The results show that the control environment, risk assessment, control activities, information communication and monitoring partially or simultaneously affect the internal control of raw material inventory at PT. Yongjin Javasuka Garment Sukabumi.
Optimization of Social Assistance Recipient Determination using Gradient Boosting Algorithm Windi Herlita Vidila; Rudi Kurniawan; Saeful Anwar
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.773

Abstract

This research aims to classify social assistance recipients to ensure the accuracy of aid distribution by utilizing the Gradient Boosting algorithm on RapidMiner. The data used is data on residents who are categorized as receiving and not receiving social assistance in Cicadas village with a total dataset consisting of 670 entries with 18 attributes that will be divided equally between eligible and ineligible recipients. This research uses KDD (Knowledge Discover in Database) analysis which includes the stages of data selection, pre-processing, transformation, modeling, and interpretation of results. This research uses a quantitative approach, focusing on the distribution of datasets in a ratio of 70:30 with a stratified sampling technique for training and testing purposes. The experimental results show that the selected method is effective in classifying recipients by obtaining an accuracy of 91.67%, this accuracy result can be relied upon to support decision-making in social assistance distribution. The findings underscore the potential of machine learning in optimizing social welfare initiatives by improving target accuracy and ensuring aid reaches the rightful recipients.
Optimizing the Classification Model for Plant Medicine Supplies Using the Decision Tree Algorithm at the Anugrah Tani Shop, Brebes Regency: Inggris Saeful Amri; Rudi Kurniawan; Saeful Anwar
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.825

Abstract

Retail businesses in the agricultural industry often face difficulties in estimating inventory needs, especially plant medicines which are important for protecting plants from pests and diseases. The lack of an accurate inventory prediction system can cause stock discrepancies, as happened at the Anugrah Tani Store, Brebes Regency, thereby disrupting operations and customer satisfaction. This research uses the Decision Tree classification technique to increase the accuracy of predicting the need for plant medicine supplies, with a clustering approach using the K-Means algorithm to determine the optimal K value through the Davies-Bouldin Index (DBI) calculation. A DBI value of -0.065 indicates good cluster quality with an optimal K of 2, where Cluster 0 has high inventory needs (1138 data) and Cluster 1 has low needs (4 data). The analysis results show that the accuracy level of the Decision Tree model is 98.25%, which is quite high. This model is not only able to predict inventory patterns accurately but also provides in-depth insights to support stock decision making. This research proves that the Decision Tree algorithm can help inventory management with a faster response to customer needs, while contributing to the development of machine learning-based classification models for the agricultural and retail sectors.
Co-Authors Abdul Azis Ade Irma Purnamasari Ade Juang Eko Praseyo Adhitya Wibisono Afif, M Nur Afifatu Fachrudin Ahmad Bahrum Maula Rahman Ahmad Munajim Alim, Akhmad Ananda Rafly Anisa Aprinus Salam Arif Nur Hakim Arif Rinaldi Dikananda Atang Sutandi Azkal Muhammad Azkiya Azzam Izzudin Bani Nurhakim Basuki Sumawinata Darmono Taniwiryono Dicky Miftakhul Rizki Ester Angeline Farid Ali Ma'ruf Fithri Muliawati Ganang Prihatmoko Joko Ghaida Refiana Zahra Hadianto Nur Fadhli Happy Widiastuti Herni Syahara Heru B. Pulunggono Hoerudin, Cecep Wahyu Husni Mubarok Ibdalsyah Ibdalsyah Ibnu Hajar Ike Suryani Dewi Indah Ratna Ningsih Irfan Ali Isni Rinjani Iwan Setiawan Kevin Salsabil Arlandy M Danang Mukti Darmawan Masyhurul Khamis Melawati Melawati Mia Lasmi Wardiyah, Mia Lasmi Muhammad Hilmi Mulyawan Mulyawan Nabil Makarim Nafhan Khairuddin Fathin Najla Kayla Nanda Octavia Naufal Ridho Setyo Laksono Nema Widiantini Nining R Nisa Dienwati Nuris Novayanti Magdalena Gultom Novia Wulandari Nur Afif nur syarief abdullah Nurhadi Kastamin Odi Nurdiawan Rahma Amelia Purnama Rahmah Mulanti Rahman, Riem Rahayu Resti Dwi Anjani Ridwan Siskandar Rifqi Nurfadillah Rudi Kurniawan Ruli Herdiana Rusbandi Rusbandi Ryan Hamonangan Saeful Amri Shofian Yunus Siswanto Siti Komariyah Sofyan Alhaq Suratun Suratun Syifa Rahmatul Awaliyah Tamam, Abas Mansur Tati Supra Windi Herlita Vidila Wiyoto Wiyoto Yundari, Yundari