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All Journal Journal of Marine Research Syntax Jurnal Informatika Jurnal Informatika dan Teknik Elektro Terapan Scientific Journal of Informatics E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian UntukMu NegeRI Jurnal Ilmiah Ekonomi Islam BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL ILMIAH INFORMATIKA Kamaya: Jurnal Ilmu Agama Jurnal Teknik Informatika UNIKA Santo Thomas JURNAL PENDIDIKAN TAMBUSAI JURNAL AGRIBISAINS Majalah Kedokteran Andalas DIVERSI : Jurnal Hukum Ta'dib: Jurnal Pendidikan Islam dan Isu- isu Sosial JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Bioindustri Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Zona Laut : Jurnal Inovasi Sains dan Teknologi Kelautan Jurnal Tunas Agraria Jurnal Ilmiah Wahana Pendidikan DedikasiMU: Journal of Community Service Hasanuddin Journal of Sociology (HJS). ARRUS Journal of Engineering and Technology Society: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) JIPMukjt:Jurnal Ilmu Pendidikan Muhammadiyah Kramat Djati Jurnal Algoritma Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi Jurnal Atma Inovasia Bandung Conference Series: Business and Management Indonesia Law Reform Journal (ILREJ) Jurnal Teknik, Komputer, Agroteknologi dan Sains Jurnal Ilmiah Pengabdian dan Inovasi Peradaban Journal of Law and Society Jurnal Pengabdian Pada Masyarakat Al-Khidmah: Jurnal Pengabdian Kepada Masyarakat OMNICODE Journal (Omnicompetence Community Developement Journal) (Indonesian of Interdisciplinary Journal) Qawanin Jurnal Ilmu Hukum Jurnal TNI Angkatan Udara Jurnal Pendidikan Dasar dan Keguruan Journal of Bioindustry PESHUM Jurnal Keselamatan Transportasi Jalan Indonesian Journal of Social Science and Education
Iqbal Maulana
Jurusan Teknik Sipil FT. UNDIP Jl. Prof. H. Soedarto SH., Tembalang, Semarang 50275
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Aplikasi Sistem Pakar Untuk Mengidentifikasi Biota Laut Berbasis Website Medianti, Vebyola Dwi; Maulana, Iqbal
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 1 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jtiust.v7i1.1911

Abstract

Indonesia has very wide waters and has a diversity of marine ecosystems. This diversity makes people want to know information about various marine ecosystems and marine biota easily and quickly without having to buy or read books about marine ecosystems. Along with the development of technology and information in everyday life, it can be used to solve these problems by designing an expert system that can contain various information to identify various types of marine biota. To design the expert system, it takes several stages such as needs analysis, knowledge acquisition, system design, coding, and testing the system. In this research, applying the knowledge base of rule based relation with the knowledge representation of decision tree. The marine biota expert system is designed based on a website. This expert system produces an accuracy of 100%
Aplikasi Sistem Pakar Untuk Mengidentifikasi Biota Laut Berbasis Website Medianti, Vebyola Dwi; Maulana, Iqbal
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 1 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jtiust.v7i1.1911

Abstract

Indonesia has very wide waters and has a diversity of marine ecosystems. This diversity makes people want to know information about various marine ecosystems and marine biota easily and quickly without having to buy or read books about marine ecosystems. Along with the development of technology and information in everyday life, it can be used to solve these problems by designing an expert system that can contain various information to identify various types of marine biota. To design the expert system, it takes several stages such as needs analysis, knowledge acquisition, system design, coding, and testing the system. In this research, applying the knowledge base of rule based relation with the knowledge representation of decision tree. The marine biota expert system is designed based on a website. This expert system produces an accuracy of 100%
PENERAPAN ALGORITMA SUPPORT VECTOR MACHINE TERHADAP ANALISIS SENTIMEN PADA ULASAN APLIKASI LINKAJA Pratama, Elvin Alan; Primajaya, Aji; Maulana, Iqbal
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.6616

Abstract

Kehadiran dompet digital berperan dalam meningkatnya volume transaksi uang elektronik di Indonesia. LinkAja merupakan salah satu dompet digital dengan rating dan pengguna terendah di Indonesia dibandingkan dompet digital lainnya. Penelitian ini bertujuan untuk menerapkan model klasifikasi Support Vector Machine (SVM) dalam analisis sentimen ulasan pengguna LinkAja serta menginterpretasikan hasilnya sebagai rekomendasi peningkatan layanan. Metode yang digunakan dalam penelitian ini adalah Knowledge Discovery in Database (KDD) dalam text mining. Proses dalam penelitian ini melibatkan beberapa tahapan, yaitu data selection, data preprocessing, data transformation, data mining, evaluation dan knowledge. Dataset diperoleh dengan teknik scraping dari Google Plays Store menggunakan Python, didapatkan 2,000 ulasan dari Januari hingga November 2024, dengan 944 ulasan positif dan 1,056 ulasan negatif. Model terbaik diperoleh pada skenario pembagian data 70:30 dengan performa unggul, yaitu accuracy 88%, precision 90%, recall 83%, dan F1-score 87%. Hasil word cloud menunjukkan kata-kata yang sering muncul  pada tiap kelas sentimen. Pada sentimen positif, kata-kata seperti "aplikasi" dan "saldo" mendominasi, hal ini  menunjukkan kemudahan penggunaan dan pengiriman saldo. Sementara itu pada sentimen negatif didominasi oleh "aplikasi" dan "pakai", hal ini mengindikasikan bahwa pengguna terkendala saat menggunakan aplikasi tersebut. Melaui tenkik Root Cause Analyisis (RCA) mengidentifikasi enam faktor yang memengaruhi kepuasan pengguna, diantaranya dukungan pelanggan yang kurang, crash pada perangkat rendah, kendala pada koneksi, UI/UX yang membingungkan, dan minimnya pemantauan bug. Hasil dari pencarian akar masalah ini kemudian divisualisasikan dalam Diagram Ishikawa.
PREDIKSI PENERIMAAN MAHASISWA BARU FAKULTAS ILMU KOMPUTER UNSIKA MENGGUNAKAN ALGORITMA C4.5 DAN CART Miftahussalamah, Dwi; Haerul Jaman, Jajam; Maulana, Iqbal
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.6766

Abstract

Penerimaan mahasiswa baru merupakan aspek penting dalam pengelolaan pendidikan tinggi, termasuk di Universitas Singaperbangsa Karawang (Unsika) melalui jalur Seleksi Nasional Berdasarkan Prestasi (SNBP). Jalur ini menilai prestasi akademik siswa tanpa melalui tes tulis, namun masih menghadirkan tantangan dalam menentukan indikator keberhasilan seleksi. Di Fakultas Ilmu Komputer, tingkat persaingan sangat tinggi sehingga diperlukan pendekatan berbasis data untuk mendukung proses seleksi yang lebih objektif. Penelitian ini menerapkan algoritma decision tree C4.5 dan CART untuk memprediksi penerimaan calon mahasiswa baru berdasarkan data historis, dengan menerapkan metode SMOTE untuk mengatasi ketidakseimbangan data dan cost complexity pruning untuk meningkatkan generalisasi model. Proses data mining mengikuti tahapan Knowledge Discovery in Databases (KDD), dengan pengujian menggunakan pembagian data 80:20. Hasil evaluasi menunjukkan bahwa model C4.5 yang menerapkan SMOTE dan pruning memberikan performa terbaik, dengan akurasi sebesar 85% dan nilai ROC 0,92, mengungguli CART yang memiliki akurasi sama namun nilai ROC lebih rendah sebesar 0,89. Temuan ini menunjukkan bahwa algoritma C4.5 lebih unggul dalam mendukung proses prediksi penerimaan mahasiswa baru di lingkungan perguruan tinggi.
Tanggung Jawab Orang Tua dalam Pendidikan Islam Menurut Al-Qur’an Maulana, Iqbal; Salminawati, Salminawati; Dahlan, Zaini
Kamaya: Jurnal Ilmu Agama Vol 8 No 3 (2025)
Publisher : Jayapangus Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37329/kamaya.v8i3.4728

Abstract

Education serves as the fundamental pillar in shaping children’s character and spirituality, with parents playing a central role in Islamic teachings. The Qur’an provides clear guidance on the importance of education grounded in monotheism (tauhid), morality, and knowledge, as reflected in Q.S. An-Nisa’ [4]: 9, Q.S. Luqman [31]: 13–19, and Q.S. At-Tahrim [66]: 6. This study aims to analyze the concept of parental responsibility in Islamic education based on these three verses and to explore their relevance in addressing contemporary challenges in family-based education. The research employs a qualitative method using library research and a thematic (maudhu’i) interpretation approach to extract both thematic and contextual meanings from the selected verses. The findings reveal that the Qur’an places parents as the primary and foremost educators, responsible for nurturing their children’s faith, morals, and life skills as provisions for both this world and the hereafter. In the modern context, this role faces serious challenges, including work-related busyness, secular cultural influences, and value disruption due to digital media. The study concludes that family-based education rooted in the Qur’an remains highly relevant and essential as a moral safeguard for children amid an era of rapid change. The implementation of Qur’anic education values centered on monotheism, moral guidance, and parental role modeling is key to forming a generation of Muslims who are faithful, intelligent, and morally upright. 
ANALYSIS OF THE COVID-19 EPIDEMIC MODEL WITH SELF-ISOLATION AND HOSPITAL ISOLATION Manaqib, Muhammad; Padilah, Tesa Nur; Maulana, Iqbal
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/barekengvol17iss4pp2147-2160

Abstract

This research developed the SIR model with self-isolation and hospital isolation. The analysis is carried out through the disease-free and endemic equilibrium point analysis and the sensitivity analysis of the basic reproduction number. Based on the disease-free equilibrium point analysis, for a certain period of time the population will be free from COVID-19 if the basic reproduction number is less than 1. If the basic reproduction number is more than 1, the disease will persist in the population, this will lead to an endemic equilibrium point. Based on the sensitivity analysis of parameter values on the basic reproduction number, the parameter for the isolation rate of individually infected individuals in hospitals is -0.4615166040, and the self-isolation rate at home is -0.01853667767. This indicates that isolation in hospitals is more effective than self-isolation in suppressing the spread of COVID-19.
The Effectiveness of Drones in Improving Efficiency and Accuracy of Oil Palm Plantation Management in Indonesia: A Literature Review Briliyanti, Rahma Dita; Maulana, Iqbal; Jannah, Erana Misbahul; Purboseno, Sentot
ARRUS Journal of Engineering and Technology Vol. 5 No. 1 (2025)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech4033

Abstract

Oil palm plantation management in Indonesia faces significant challenges in terms of operational efficiency, land monitoring accuracy, and compliance with sustainability standards. With the advancement of digital technology, the use of drones or Unmanned Aerial Vehicles (UAVs) has emerged as a potential solution to enhance plantation management effectiveness. This study aims to examine the effectiveness of drones in supporting oil palm plantation management in Indonesia through a review of both national and international literature. The findings indicate that drones can provide high-resolution spatial data quickly and accurately, which can be integrated with Geographic Information Systems (GIS) for planting block mapping, crop growth monitoring, pest infestation detection, and land fertility evaluation. Several studies have reported mapping efficiency improvements of up to 60%, along with support for sustainability reporting such as ISPO and RSPO. The use of drones also supports precision agriculture approaches, particularly in variable-rate fertilization and zonal land management. Despite implementation challenges such as investment costs and a shortage of trained operators, drone technology holds significant potential for the digitalization of plantations. This review recommends enhancing UAV adoption through technical training, strengthening digital infrastructure, and formulating supportive operational regulations. The integration of drones into oil palm plantation management is believed to accelerate the transformation toward a more efficient, accurate, and sustainable precision agriculture system.
SECURITY TESTING (WHITE BOX PENETRATION TESTING) PADA AUTHENTICATION SISTEM LOGIN WEBSITE Luthfi, Amar; Nurkifli, E. Haodudin; Maulana, Iqbal
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10660

Abstract

In 2024, according to the 2024 Indonesian Cybersecurity Landscape by the National Cyber Security Agency (BSSN), Indonesia experienced a total of 330,527,636 anomalous traffic. The highest traffic occurred in December with 112,085,045 traffic, and the lowest in May with 12,273,078 traffic. The impact of this leak is very broad, causing the risk of phishing, account hijacking, identity theft, ransomware attacks on companies, and misuse of business email. Based on this background, this study aims to minimize the many attacks that occur in the cyber world, especially on website applications. By using the Security Testing method (White Box Penetration Testing). The MD5 algorithm is still effective in protecting passwords in databases from SQL injection attacks that use common username and password combinations and on websites that use PHP without JavaScript is proven safe from Cross-Site Scripting attacks.
PREDIKSI PENERIMAAN MAHASISWA BARU UNIVERSITAS SINGAPERBANGSA KARAWANG DENGAN RANDOM FOREST Pamungkas, Mochammad Fitra; Sari, Betha Nurina; Maulana, Iqbal
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10662

Abstract

The selection of study programs and the selection process for new student admissions are crucial stages that have an impact on the smooth running of studies and students' future careers. However, this process is often still done subjectively, thus potentially causing a mismatch between interests, abilities, and the chosen study program. This research aims to implement the Random Forest algorithm, analyze the factors that influence acceptance, and determine the performance of the prediction model generated by the Random Forest algorithm in assisting new student admissions for the National Selection Based on Test (SNBT) pathway at Universitas Singaperbangsa Karawang. This research uses the Knowledge Discovery in Database (KDD) method which consists of 5 stages, namely Data Selection, Preprocessing, Transformation, Data Mining, and Evaluation. The data used was 815 new student data of Universitas Singaperbangsa Karawang, which included UTBK scores, school background, and choice of prospective student study programs. In the Transformation and Data Mining stages, 4 data splitting scenarios were carried out, namely 90:10, 80:20, 70:30, and 60:40. The best performance with the Random Forest model is generated by the 80:20 data splitting scenario with an accuracy value of 0.945, precision of 0.937, recall of 0.943, f1-score of 0.940 and AUC value of 0.983.
Gambaran Hasil Kultur dan Sensitivitas Antibiotik pada Pasien COVID-19 yang Dirawat di Ruang ICU COVID-19 RSUP Dr. M. Djamil Padang Maulana, Iqbal; Ermayanti, Sabrina; Mizarti, Dessy
Majalah Kedokteran Andalas Vol. 47 No. 1 (2024): MKA Januari 2024
Publisher : Faculty of Medicine, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/mka.v47.i1.p1-9.2024

Abstract

AbstrakTujuan: Penelitian ini bertujuan untuk mengevaluasi superinfeksi bakteri saluran pernapasan pada pasien COVID-19 yang dirawat di ICU RS Dr. M. Djamil. Metode: Studi retrospektif ini meninjau semua pemeriksaan mikrobiologis pernapasan yang dilakukan di ICU pada pasien COVID-19 dari April 2020 hingga Maret 2021. Hasil: Jumlah pasien COVID-19 dengan pemeriksaan mikrobiologis biakan sekret sebanyak 124 orang, sebagian besar berjenis kelamin laki-laki 78 (63%) dan pada kelompok usia 60-69 tahun. Pertumbuhan bakteri ditemukan pada 64 pasien (51%) yang terbagi pada Community acquired pneumonia 40 (62,5%) dan Hospital Acquired Pneumonia (HAP) 24 (37,5%) pasien. Acinetobacter baumannii mendominasi sebagai penyebab superinfeksi pada pasien Covid-19 yang sakit kritis; CAP 14 (35%) diikuti oleh Klebsiella sp 10 (25%) dan HAP 12 (50%) diikuti oleh Pseudomonas auriginosa 6 (25%). Kami juga mengevaluasi kerentanan terhadap antibiotik untuk Acinetobacter baumannii kebanyakan dari mereka memiliki resistensi terhadap carbapenem; 26 (72%). Kesimpulan:  Superinfeksi pada pasien Covid-19 yang dirawat di unit perawatan intensif terjadi pada lebih dari setengah pasien. Acinetobacter baumannii yang resisten terhadap carbapenem ditemukan lebih dari sepertiga
Co-Authors Abhinaya, Reswara Faza ade, Nofri Affandi, Felix Rafiansyah Afrilian, Mochammad Agim, Agim Agusian, Sultan Agustin, Heny Ainun Jariyah Airin Liemanto Aisyah, Hizatul Akbar, Muhibudin Alamsyah, Indra Fajar Aldair, Muhammad Diva Alfian, Iqbal Amaliyah, Cinta Ayu Aminuddin Irfani, Aminuddin Ammellia Putri, Zahra Andi Rosa Andni, Riyan Anggellica, Silviana Apriade Voutama Ariana Salsabila, Nazwa Ariefah SUNDARI Aries Suharso Arif Prambudiarto, Benny Arifin Pahlawan, Ilham Astuti, Elsi Athariq, Fajar Aulia, Nazi Ratul Ayu E., Chinta Kartika Ayunaning, Kholidia Bahary, Achmad Rizal Basri, Ahmad Hasanul Betha Nurina Sari Briliyanti, Rahma Dita Budi Arif Dermawan Daud, Azzam Hasan Dewi Nurhanifah, Dewi Dikriyah Dwi Ely Kurniawan E Haodudin Nurkifli Edi Sofyan, Edi Elfrida Ratnawati Enri, Ultach Ermayanti, Sabrina Erwin Erwin FADLI, MOH Farah Putri Wenang Lusianingrum Fauzan . Fauzan, Miftahul Fazhira, Fuan Febrianti, Amanda febriyanti febriyanti Fifa Latifah, Umi Finisica Dwijayati Patrikha Fiqri Faturrian, Muhammad Firdausiah, Salsabila Firmansyah, Faiz Agil Fitri Kurniawati Fitriana Fitriana Gantara, Gerald Dewa garno, Garno Ghiffari, Ahmad Tsaqief Ghufron, Khairul Ginanjar, Noornissa Sarah Hanifah, Ayu Nur’aliyah Hendri, Zahratul Ahya Herlinda Herlinda, Herlinda Herlindah, Herlindah Intan Purnamasari Iqron Muhammad, Seno Irwani Irwani Ismawati, Iis Ismiasih, Ismiasih Iwan Permadi Jaman, Jajam Haerul Jannah, Erana Misbahul Jauharoh, Arini Juli Julaiha P Kholilur Rahman, Moh. Nur Khowwas, Aliyul Komarudin, Oman Kurnia Abdullah, Kunaifi Kurniawan, Syukri Lailaturrahmah, Lailaturrahmah Lestari, Arfena Deah Lubis, Zulfahmi Luthfi, Amar Madinatul Munawaroh Mardhiah, Gadis Ainum Marpaung, Willi Rahim Maulana, Asyifa Mayasari, Rini Medianti, Vebyola Dwi Meirany, Jasisca Mela Sandra Melina Miftahussalamah, Dwi Mizarti, Dessy Mohammad Al Farabi, Mohammad Mufid, Tsaqif Mu'tashim Muhammad Indrawan Jatmika Muhammad Manaqib, Muhammad Muhammad Syawal Karo-Karo Mukhlidin Mukholad Fauzi, Wildan Mumtaz Muizza, Muhammad Ahmad Muslikhun, Alfin Nora, Asla Norkhaliza, Fitria Novalia, Elfina Nugroho, Trio Nur Qomariyah Nur, Asrul Ibrahim Nuraini, Nabilah Hasna Onny Medaline Padilah, Tesa Nur Pamungkas, Mochammad Fitra perkasa, surya rimba Permata Ningtyas, Alviani Hesthi Permatasari, Ismi Aprilianti Pradipta, Aditya Arya Prakoso, Firza Agung Pramudya, Aditya Pranedya, Agatha Jessica Chelsea Pratama, Elvin Alan Pratama, Rizqy Arya Prawira Buana, Andika Purnamasari, Intan Nurina Purwantoro Putri, Windy Anissa Amilia Rafi, Rizqi Abdul Rahman, Sufirman Rahmayani, Fenny Ramadani, Fitriya Ramadhan, Bintang Zulfikar Riliandhita, Riliandhita Riza Ibnu Adam, Riza Ibnu Rizal, Adhi Rohman, Ahmad Maulana Rowiyani Rozi, Achmad Safitri, Tiara Sahri, Agus Salminawati Saputri, Nabila Wahyu Sari, Dinda Permata Sentot Purboseno Setiabudi, David Wahyu Shah, Akmal Sholeh, Khoerul Shonaliya, Indra Putra Siti Halimah Siti Halimah Solichah, Mar’atus Sri Catur Setyawatiningsih Sri Redjeki Sulistiyowati, Anjar Supriyadi Supriyadi Susilo Yuda Irawan, Agung Syafiih, M Syamsiar, Syamsiar Syarif Abdullah Syawal Karo-Karo, Muhammad Syukri Kurniawan Nasution Umaidah, Yuyun Utami, Rasrawati Widya Vincent, Roland Wasiyem, Wasiyem Wati, Helmalia Wina Witanti Wiyono, Slamet Wulandari, Adinda Yusuf Rismanda Gaja, Muhammad Yusup, Dadang ZAHWA, ST Zaini Dahlan