Article Per Year (5 Year)
p-Index From 2021 - 2026
1.884
P-Index
This Author published in this journals
All Journal Jurnal Dimensi Jurnal Penelitian Geosains JMM (Jurnal Masyarakat Mandiri) Jurnal Investasi Pangea : Wahana Informasi Pengembangan Profesi dan Ilmu Geografi Indonesian Journal of Electrical Engineering and Computer Science Jurnal Dinamika Sosial Ekonomi Brilliance: Research of Artificial Intelligence Prosiding Seminar Nasional Biologi, Teknologi dan Kependidikan (Biotik) Local History & Heritage JRAMathEdu (Journal of Research and Advances in Mathematics Education) Applied Information Technology and Computer Science (AICOMS) International Journal of Mathematics, Statistics, and Computing
Maulana Malik, Maulana
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
INTERPRETASI SEBARAN MINERALISASI LOGAM EMAS BERDASARKAN NILAI RESISTIVITY MENGGUNAKAN METODE GEOLISTRIK KONFIGURASI WENNER Malik, Maulana; Nur, Irzal; Ilyas, Asran
Jurnal Penelitian Geosains Vol 10, No 2 (2014)
Publisher : Jurnal Penelitian Geosains

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

Abstract

The limitation of data and information about distribution of gold mineralization based on the value of resistivity in the hosted rock on WIUP exploration PT. Indi Karya Anugerah which is located in Long Iram, West Kutai, East Borneo becomes the background of this study. The purpose of this study is expected to find the indications of gold mineralization anomalies based on the geophysical data of geoelectrical resistivity value hosted rock, rock contacts, mineralization and the sub-surface distribution. Vertical geoelectrical resistivity inversion using Wenner configuration for eight line of one with the position of the potential electrode and current electrode arranged from C1-P1-P2-C2. Based on the result of resistivity interpretation using software RES2Dinv showed that the lowest resistivity value of materials is 1.23Ωm till the highest one is 119085Ωm with rocks encountered indicated as Latite which was exposed, had a high resistivity. Outcrop of alteration area was found with relatively low resistivity and based on its physical characteristics as well as indication of gold occurrences in rock samples with grade of 2.01 ppm on line 01-line 02 and 2.27ppm on line 08 which were the analysis result in laboratory.Keywords: Survey review, alteration, resistivity, software RES2Dinv, anomalies
PELATIHAN PENERAPAN PROTOKOL KESEHATAN, PEMBUATAN HAND SANITIZER ALAMI DAN KETAHANAN PANGAN KELUARGA DI MASA PANDEMI COVID-19 Milla, Amalia Nur; Nurbaeti, Neneng; Ramadanti, Livia; Malik, Maulana; Blesenki, Kiki
JMM (Jurnal Masyarakat Mandiri) Vol 4, No 5 (2020): November
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2147.539 KB) | DOI: 10.31764/jmm.v4i5.3189

Abstract

Abstrak: Beberapa permasalahan yang dihadapi dalam masa pandemi Covid-19, adalah masih rendahnya kesadaran masyarakat dalam menerapkan protokol kesehatan dan belum terbiasa melaksanakan Adaptasi Kebiasaan Baru (AKB), langkanya handsanitizer dipasaran sehingga harganya menjadi mahal, ketahanan pangan terancam dengan sulitnya mendapatkan bahan pangan khususnya sayuran dimasa pembatasan sosial berskala besar (PSBB).Tusjuan pengabdian masyarakat yang dilakukan adalah : 1). Masyarakat dapat menerapkan protokol kesehatan untuk memutus rantai penyebaran Covid-19.  2). Masyarakat dapat membuat handsanitizer dari bahan alami, 3). Masyarakat dapat melakukan budidaya sayuran dengan metode hidroponik sederhana. Metode yang dilakukan : 1). Sosialisasi dengan kunjungan ke rumah warga sasaran 2). Pelatihan. 3). Monitoring dan evaluasi kegiatan. Lokasi kegiatan di Kecamatan Parungkuda, Nyalindung dan Gunungpuyuh Sukabumi. Hasil kegiatan menunjukkan bahwa masyarakat dapat : 1) menerapkan protokol kesehatan (cara menggunakan masker, cara batuk,  jaga jarak dan cara cuci tangan secara baik dan benar), 2). Dapat membuat hand sanitizer dari daun sirih, 3) Dapat melakukan budidaya sayuran (kangkung dan pakchoy) dengan metode hidroponik sederhana. Abstract:  Some of the problems during the Covid-19 pandemic, are the low level of public awareness in implementing health protocols and not being used to implementing New Habitual Adaptation (IMR), the scarcity of handsanitizers in the market so that the price is expensive, food security is threatened with difficulty getting food, especially vegetables in the future. large-scale social restrictions (PSBB). The objectives of community service are: 1). The public can apply health protocols to break the chain of spread of Covid-19. 2). People can make hand sanitizers from natural ingredients, 3). The community can cultivate vegetables using simple hydroponic methods. Methods used: 1). Visits to target residents' homes to socialize activities, 2). Training,3). Monitoring and evaluation. The location of the activity is in Parungkuda, Nyalindung and Gunungpuyuh Sukabumi Districts. The results of the activity show that the community can: 1) apply health protocols (how to use a mask, how to cough, maintain distance and how to wash hands properly), 2). Can make hand sanitizer from betel leaf, 3) Can cultivate vegetables (kale and pakchoy) using simple hydroponic methods
Dinamika Dakwah Melalui Buletin: Studi Perkembangan Lembaga Islamic Thought and Information for Dakwah (ISTAID) Center Medan, 2019-2021 Malik, Maulana; Siregar, Yusra Dewi; Yasmin, Nabila
Local History & Heritage Vol. 4 No. 2 (2024)
Publisher : Medan Resource Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57251/lhh.v4i2.1328

Abstract

This study examines the development of the ISTAID Center, an Islamic institution in Medan that has consistently distributed bulletins since 1993. The research aims to provide a comprehensive understanding of the institutional changes at ISTAID by tracing its historical development and analyzing the social phenomena reflected in its newsletters. Specifically, the focus is on the period from 2019-2021, exploring the central themes discussed in the bulletins. To investigate these dynamics, the research employs historical methods, including heuristics, verification, interpretation, and historiography, complemented by descriptive analysis of the bulletin content. Data collection involved primary sources from newsletters and interviews, supplemented by secondary sources. Wilhelm Dilthey's hermeneutic theory was applied to analyze thematic relevance within social contexts. The findings suggest that the ISTAID Center has played a significant role in reflecting and addressing the social situation of Muslims during the specified period, as evidenced through the thematic content of its bulletins.
A bibliometric analysis on artificial intelligence in mathematics education Subroto, Prawidi Wisnu; Malik, Maulana; Raditya, Aji; Saputra, Nisvu Nanda
JRAMathEdu (Journal of Research and Advances in Mathematics Education) Volume 9 Issue 1 January 2024
Publisher : Lembaga Pengembangan Publikasi Ilmiah dan Buku Ajar, Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jramathedu.v9i1.2429

Abstract

The research on artificial intelligence in mathematics education has attracted much attention from researchers since the last decade. This study aims to provide holistic information about artificial intelligence in mathematics education research using bibliometric analysis. Data for the analysis were extracted from the Scopus database from 1986 – 2023. The analysis, conducted using R-packages (Bibliometrix) and VOSviewer software, identifies the relevant nations, affiliations, journals, articles, and keywords on artificial intelligence in mathematics education research. The study reveals that 565 documents have been published in 354 journals, with an average annual growth rate of 11.27%. These documents, on average, have received 14.61 citations each. The research field has engaged a total of 1,847 authors, with an average of 3.26 authors contributing to each document. Additionally, 17.17% of these publications involved international co-authorship, indicating a moderate level of global collaboration. Our findings reveal a growing interest in using artificial intelligence as an educational tools and methods, particularly in the United States and China, which lead in publication output and citations. The analysis also reveals emerging trends and research gaps. The keywords such as "virtual reality," "sustainable development," and "COVID-19" reflect recent research focus on artificial intelligence in mathematics education research. Meanwhile, the keywords such as "mathematical literacy," “assessment,” and "gamification" identified as underexplored areas, suggesting potential opportunities for future research on artificial intelligence in mathematics education research.
PENGOLAHAN PANGAN PASCA IRRADIASI Alhanannasir, Alhanannasir; Sebayang, Nico Syahputra; Wibowojo, Ari; Nurayni, Nanda; Lestari, Refin; Malik, Maulana; Junifa, Febyanca; Yani, Ade Vera
Prosiding Seminar Nasional Biologi, Teknologi dan Kependidikan Vol 12, No 1 (2024): PROSIDING SEMINAR NASIONAL BIOTIK XII 2024
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh, Aceh, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/pbio.v12i1.28108

Abstract

Usaha untuk meningkatkan kualitas dan keamanan pangan telah diperkaya dengan beragam teknologi. Salah satu cara teknologi yang dapat digunakan adalah metode iradiasi pangan. Teknologi iradiasi melibatkan penggunaan sinar ionisasi untuk mengurangi jumlah mikroorganisme patogen dan menghambat pertumbuhan mikroba spoilage serta dapat memperpanjang umur simpan produk pangan. Tujuan penelitian ini adalah untuk mendukung peningkatan mutu dan keamanan pangan secara umum Metode penelitian yang digunakan dalam studi ini adalah tinjauan pustaka.hasil dari penelitian ini adalah Selama proses pengolahan, teknologi pangan memungkinkan penggunaan bahan yang aman dan bergizi untuk meningkatkan mutu pangan. Melalui pengembangan teknologi pangan yang efisien, mutu pangan dapat ditingkatkan dengan mengurangi atau menghilangkan mikroorganisme patogen, mengoptimalkan kandungan nutrisi, dan meningkatkan karakteristik sensorik pangan. Berdasarkan hasil penelitian ini, dapat disimpulkan bahwa Beberapa penelitian menunjukkan bahwa radiasi dapat mengurangi tingkat bakteri seperti Salmonella, Listeria monocytogenes, dan Escherichia coli pada berbagai produk pangan, termasuk ayam, sapi, makanan laut, buah-buahan, sayuran, dan biji-bijian. Penerapan iradiasi pangan dianggap sebagai metode yang lebih efektif daripada metode lainnya.Katakunci: : Pengolahan pangan secara irradiasi, dan keamanan pangan
PENGARUH SISTEM INFORMASI MANAJEMEN, PERILAKU INOVATIF DAN PARTISIPASI ANGGARAN TERHADAP KINERJA MANAJERIAL (STUDI KASUS PADA KANTOR IMIGRASI KELAS II TPI SUMBAWA BESAR) Malik, Maulana; Saleh, Muhammad; Cita, Fitria Permata
JURNAL DIMENSI Vol 13, No 3 (2024): JURNAL DIMENSI (NOVEMBER 2024)
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/dms.v13i3.7083

Abstract

Kinerja pengelola lembaga imigrasi bergantung pada kemampuannya dalam menerapkan kebijakan dan bekerja sama dengan lembaga pemerintah dan organisasi internasional dalam menghadapi globalisasi dan mobilitas internasional yang tinggi, di mana koordinasi dan komunikasi yang efektif merupakan kunci penyelesaian permasalahan migrasi yang kompleks. Adapun, tujuan dari penelitian ini adalah untuk menganalisis pengaruh sistem informasi manajemen, perilaku inovatif dan partisipasi anggaran terhadap kinerja manajerial di Kantor Imigrasi Kelas II TPI Sumbawa Besar. Penelitian ini menggunakan metodologi kuantitatif dan menggunakan teknik deskriptif untuk menganalisis data. Sampel penelitian berjumlah 37 personel yang bekerja di Kantor Imigrasi Kelas II TPI Sumbawa Besar. Data dianalisis dengan metode Partial Least Square (PLS) yang termasuk dalam domain Structural Equation Modeling (SEM). Hasil penelitian menunjukkan bahwa sistem informasi manajemen berpengaruh positif dan signifikan terhadap mutu pelayanan publik. Selanjutnya, perilaku inovatif berpengaruh positif dan signifikan terhadap kinerja manajerial. Kemudian, partisipasi anggaran berpengaruh positif dan signifikan terhadap kinerja manajerial. Jadi, kesimpulannya adalah untuk meningkatkan kinerja manajerial di Kantor Imigrasi Kelas II Sumbawa Besar, diperlukan pembangunan dan penerapan kebijakan yang mendukung inovasi dan kreativitas pada semua level organisasi. Ini mencakup, di antaranya, pengembangan budaya organisasi yang menerima risiko dan gagal sebagai bagian dari proses inovasi, penyediaan waktu, sumber daya, dan pelatihan untuk eksperimentasi, serta pengakuan dan pemberian penghargaan terhadap usaha inovatif.
Comparing machine learning models for Indonesia stock market prediction Amellia Kharis, Selly Anastassia; Anna Zili, Arman Haqqi; Malik, Maulana; Nuryaningrum, Wahyu; Putri, Agustiani
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 1: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i1.pp508-516

Abstract

The financial market hold a significant role in the economy and the ability to accurately predict stock prices poses a major challenge, particularly in volatile markets like Indonesia. This study investigates the application of three supervised machine learning algorithms: random forest (RF), support vector regression (SVR), K-nearest neighbor (KNN) to predict the closing prices of stocks. The data used in this research consists of BBCA, PWON, and TOWR stocks. This study adopted daily historical stock prices from March 2017 to February 2020, which were normalized and segmented into training and testing datasets. The models were trained using machine learning techniques, and their predictive accuracy was evaluated using root mean square error (RMSE) and mean absolute error (MAE). The historical stock data includes Open, High, Low, and Close prices. The result indicated that SVR consistently outperforms RF and KNN in terms of RMSE and MAE across different stocks. The SVR method produced RMSE values of 4.79% for BBCA stock, 10.61% for PWON stock, and 15.14% for TOWR stock, and produces MAE values of 3.52% for BBCA stock, 8.49% for PWON stock, and 13.78% for TOWR stock.
Analisis Sentimen Hasil Pertandingan Sepakbola Timnas Indonesia di Piala Asia U-23 pada Platform Youtube menggunakan Algoritma Suport Vector Machine (SVM) Pangestu, Danang; Malik, Maulana; Pribadi, Muhammad Risky
Applied Information Technology and Computer Science (AICOMS) Vol 3 No 1 (2024)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/aicoms.v3i1.1528

Abstract

This study aims to analyze YouTube users' perceptions of the Indonesian national football team's matches in the 2024 AFC U23 Asian Cup. The research seeks to identify whether user sentiments toward the team's match results are positive, negative, or neutral. By using comments from the YouTube platform, the study examines public reactions to the outcomes of the Indonesian national team's matches in the U23 Asian Cup. Sentiment analysis of the match results was conducted using the Support Vector Machine (SVM) algorithm. Two SVM-based classification models were evaluated, one utilizing 40% of the data for testing and the other using 60%. The findings reveal that the first model, with 40% test data, achieved an accuracy of 65.41%, while the second model achieved an accuracy of 63.76%. Although the first model demonstrated slightly higher accuracy, the second model performed better in terms of precision (61.65%), recall (63.76%), and F1-Score (55.68%).
Business Analysis of Plant Factories Using the Business Model Canvas Malik, Maulana; Thamrin, Muhammad; Bin Haimid, Mohd Tarmizi
Jurnal Dinamika Sosial Ekonomi Vol. 25 No. 2 (2024): Jurnal Dinamika Sosial Ekonomi
Publisher : Agribusiness Department, Faculty of Agriculture, UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jdse.v25i2.13838

Abstract

A plant factory is a production system that operates in a controlled environment, where factors important for plant growth, such as light, temperature, CO2, and humidity, are artificially regulated. The system is also equipped with automated mechanisms for controlling fertilization and irrigation, as well as maintaining clean conditions for plants. The purpose of this study is to develop a business model canvas for a warehouse plant factory in MARDI, Serdang, Selangor, Malaysia. This research uses a descriptive qualitative approach method. In analyzing the warehouse plant factory business using the Business Model Canvas (BMC) method, this business model has significant prospects in overcoming the technology and knowledge gap in the agricultural sector. The successful implementation of this business model is largely determined by the alignment between the application of modern technology and the socio-economic conditions of farmers in the local area.
Accuracy of the Jian-Yang-Jiang-Liu-Liu Spectral Conjugate Gradient Method in Estimating Extended Exponential Weibull Parameters Tjayadi, Steven; Malik, Maulana; Novkaniza, Fevi
International Journal of Mathematics, Statistics, and Computing Vol. 3 No. 4 (2025): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijmsc.v3i4.244

Abstract

Life is filled with uncertainty and risk. The analysis of lifetime is needed to be a tool that can manage uncertainty. Lifetime is defined as data that contains the time until the occurrence of an event. Based on its definition, lifetime data is like Hazard rate data or mortality data because mortality data can be defined as data that contains the probability of an object surviving until that moment per unit time interval. The analysis of mortality data aims to model the distribution of time to event and/or the determinants of time to event. One of the distribution models that can be used to analyze mortality data is Weibull distribution. However, the Weibull distribution is not very suitable for modeling the more complex versions of data. Therefore, an extension of the Weibull distribution that is more flexible in modeling data is used, namely the Extended Exponential Weibull (ExEW) distribution. The ExEW distribution has four parameters whose estimation can be calculated using the maximum likelihood estimation (MLE) method. However, parameters estimated with MLE are often too difficult to calculate analytically, hence the use of optimization methods. One of the optimization methods that can be used to determine the estimated parameters of the ExEW distribution is the conjugate gradient method. To date, many conjugate gradient methods have been developed, including the Liu-Feng-Zou (LFZ) spectral conjugate gradient method and the Jian-Yang-Jiang-Liu-Liu (JYJLL) spectral conjugate gradient method. Previous research suggests that the JYJLL spectral conjugate gradient method has more efficient computational performance than the LFZ spectral conjugate gradient method. Through data simulation, this study provides results that the JYJLL spectral conjugate gradient conjugate method has better accuracy than the LFZ spectral conjugate gradient method in parameter estimation of the ExEW distribution. In addition, the ExEW distribution is the most suitable distribution in modeling various forms of Hazard rate data compared to the Weibull and exponential distributions.
Co-Authors Alhanannasir, Alhanannasir Amalia Nur Milla Anna Zili, Arman Haqqi Asran Ilyas Bin Haimid, Mohd Tarmizi Blesenki, Kiki Cita, Fitria Permata fevi novkaniza Irzal Nur, Irzal Junifa, Febyanca Kurniawan, Zaki Lestari, Refin Muhammad Saleh Muhammad Thamrin Neneng Nurbaeti Novan Wijaya Nurayni, Nanda Nuryaningrum, Wahyu Pangestu, Danang Pribadi, Muhammad Risky Putri, Agustiani Raditya, Aji Ramadanti, Livia rohadin, rohadin Saputra, Nisvu Nanda Sebayang, Nico Selly Anastassia Amellia Kharis Siregar, Yusra Dewi Subroto, Prawidi Wisnu Tjayadi, Steven Wibowojo, Ari Yani, Ade Vera Yasmin, Nabila