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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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Penguatan Kelembagaan dalam Optimalisasi Fungsi dan Manfaat PSU Perumahan dan Permukiman di Kelurahan Karangbesuki Herlindah, Herlindah; Supriyadi, Supriyadi; Jauharoh, Arini; Maulana, Iqbal; Perkasa, Surya Rimba; Fauzan, Fauzan; Affandi, Felix Rafiansyah; Ghiffari, Ahmad Tsaqief
E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 16, No 2 (2025): E-DIMAS
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/e-dimas.v16i2.20432

Abstract

Pengabdian Masyarakat Fakultas Hukum Universitas Brawijaya kepada pihak dalam lingkup Kelurahan Karangbesuki, dilatarbelakangi atas tanggung jawab pelaksanaan Tri Dharma Perguruan Tinggi dan juga masih rendahnya pemahaman masyarakat khususnya terhadap Prasarana, Sarana dan Utilitas Umum (PSU). Kegiatan ini dilaksanakan dua tahap. Tahap pertama yaitu penginventarisasian dengan diskusi terbatas dari tim pengabdi dan juga lembaga yang berkaitan dengan PSU, kemudian dilanjutkan tahap kedua yaitu workshop. Tujuan pengabdian Masyarakat ini adalah memberikan gambaran secara jelas mengenai PSU dan melakukan inventarisasi PSU serta luaran modul yang dapat dijadikan sebagai dasar dalam penyelenggaraan PSU. Hasil dan kesimpulan yang didapatkan adalah masyarakat yang diwakili pihak Rukun Warga telah memahami mengenai PSU dan beberapa solusi dari persoalan PSU.
Analisis Sentimen Masyarakat Pada Twitter Terhadap Debt Collector Menggunakan Metode Naive Bayes Classifier Pratama, Rizqy Arya; Maulana, Iqbal; Komarudin, Oman
Jurnal Ilmiah Wahana Pendidikan Vol 10 No 7 (2024): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.11201354

Abstract

Currently, many people need cash loans. Sourced from the results of the Financial Services Authority (OJK) report, the amount of online loan distribution has reached IDR 18.73 trillion throughout 2022. Debt collectors are present to collect for people who are unable to pay off the loans that have been submitted. Even so, the performance of debt collectors has experienced a lot of criticism from the public, the performance of debt collectors is often discussed on social media twitter. Therefore, it is necessary to analyze the issue of debt collectors on twitter to see public opinion about the practice of debt collectors themselves. The data used in this study amounted to 600 data. Data labeling uses Indonesian linguists as validators to determine the sentiment class. In the preprocessing stage the data is cleaned to reduce attributes that have little effect on the classification process. The highest accuracy result obtained using Naive Bayes Classifier and TF-IDF is 78.3% with a data percentage of 90:10 (90% training data and 10% test data). For the highest precision value obtained from testing with the use of 90:10 data using Naive Bayes Classifier with the BoW method, which is 80%. While the highest recall value is obtained from testing with the use of 90:10 data using the BoW method which is 80%. The use of BoW succeeded in increasing the accuracy value in most of the data sharing scenarios in the test. The classification process produces the most frequently occurring words in each sentiment class visualized with word clouds and fishbone diagrams. The word "chase" is the most dominant word in negative tweet data, while the word "help" is the most dominant in positive tweet data against debt collectors on twitter. The depiction using the fishbone diagram provides a solution to the negative opinions and experiences of the public towards debt collectors, one of which is the use of harsh words which can be overcome by conducting training for all team members on communication ethics.
Pengkategorian Penilaian Uji Laik Fungsi Jalan Ditinjau Dari Aspek Keselamatan Sahri, Agus; Maulana, Iqbal
Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Vol. 5 No. 2 (2018): JURNAL KESELAMATAN TRANSPORTASI JALAN (INDONESIAN JOURNAL OF ROAD SAFETY)
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46447/ktj.v5i2.52

Abstract

Salah satu tujuan penyelenggaraan uji laik fungsi jalan yaitu memberikan keselamatan bagipengguna jalan. Jalan sudah memenuhi standar teknis jalan masih belum dapatmemberikan keselamatan bagi para pengguna jalan. Hal inilah yang menjadi tolak ukurkeberhasilan uji laik fungsi jalan. Dengan dukungan data kecelakaan lalu lintas dapatdiidentifikasi lokasi rawan kecelakaan. Ruang lingkup dari penelitian ini adalah ruas jalandengan status fungsi jalan arteri sekunder di Kota Yogyakarta. Pada penelitian ini bertujuanmengkategorikan hasil uji laik fungsi jalan ditinjau dari aspek keselamatan. Dari hasilpenelitian dapat disimpulkan bahwa suatu jalan dilakukan uji korelasi antara uji laik fungsijalan dan lokasi rawan kecelakaan memiliki nilai sig2 tailed 0,727 dapat disimpulkan bahwaantara dua variabel memiliki hubungan yang semakin kuat. Dengan cara pemberianstarrating dan menentukan tingkat resiko/Risk Level dari penurunan kinerja jalan dapatmembantu untuk prioritas penanganan/rekomendasi.
Klasterisasi Gaya Belajar Mahasiswa Berbasis VARK dengan Algoritma DBSCAN untuk Personalisasi E-Learning Maulana, Iqbal; Witanti, Wina; Melina
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2980

Abstract

The incompatibility between e-learning systems and students' learning styles remains a major challenge in improving the effectiveness of learning in Indonesian universities. This study aims to classify the learning styles of students at Jenderal Achmad Yani University using the VARK (Visual, Auditory, Read/Write, Kinesthetic) model, enriched with the Kano method. Data were collected from 1,000 students through the VARK-Kano questionnaire and analyzed using the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm. The clustering process was carried out by determining the optimal parameters using the k-distance plot, and the validity of the clusters was assessed using the Silhouette Score. The results showed that DBSCAN could form representative clusters of student learning styles and effectively detect data noise. This study contributed to the development of a cluster-based adaptive e-learning framework that could be implemented in Indonesian universities. These findings could serve as a basis for designing adaptive learning strategies that are more suited to student characteristics, thereby increasing the effectiveness of e-learning and learning motivation.
PENGARUH HARGA, KUALITAS PRODUK SERTA BRAND AWARENESS TERHADAP KEPUTUSAN PEMBELIAN PADA PRODUK 3M KATEGORI SCOURER Maulana, Iqbal; Agusian, Sultan; Ginanjar, Noornissa Sarah
Indonesian Journal of Social Science and Education (IJOSSE) Vol. 2 No. 1 (2026): Vol 2 No 1: Edisi Januari 2026
Publisher : JCI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/ijosse.v2i1.2153

Abstract

Produk scourer merupakan salah satu kebutuhan rumah tangga yang digunakan secara rutin dalam aktivitas sehari-hari. Scotch-Brite sebagai merek scourer di bawah lisensi PT 3M Indonesia dikenal luas oleh masyarakat, namun masih terdapat perbedaan persepsi konsumen terkait harga, kualitas produk, dan brand awareness yang memengaruhi keputusan pembelian. Penelitian ini bertujuan untuk menganalisis pengaruh harga, kualitas produk, dan brand awareness terhadap keputusan pembelian produk 3M kategori scourer. Penelitian ini menggunakan metode kuantitatif dengan pendekatan asosiatif. Sampel penelitian berjumlah 50 responden yang merupakan konsumen dan calon konsumen Scotch-Brite, dengan teknik sampling total. Data dikumpulkan melalui kuesioner skala Likert dan dianalisis menggunakan regresi linear berganda dengan bantuan SPSS. Hasil analisis menunjukkan bahwa harga, kualitas produk, dan brand awareness berpengaruh positif dan signifikan terhadap keputusan pembelian, baik secara parsial maupun simultan, dengan brand awareness sebagai variabel yang paling dominan. Nilai koefisien determinasi menunjukkan kontribusi sebesar 41,6% terhadap keputusan pembelian.
Pengaruh Rasio Keuangan Pada Harga Saham Perusahaan Sektor Pertambangan pada Periode ISSI 2019-2023 maulana, iqbal; Andni, Riyan
Jurnal Ilmiah Ekonomi Islam Vol. 10 No. 3 (2024): JIEI : Vol.10, No.3, 2024
Publisher : ITB AAS INDONESIA Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jiei.v10i3.15187

Abstract

Mining has an important role in the Indonesian economy because it provides raw materials needed for various including infrastructure development, manufacturing consumer goods, and providing energy. The aim of this research is to determine and test the relationship between share prices of mining sector business actors in the Indonesian Sharia Stock Index (ISSI) for the 2019-2023 period with the variables CR, DAR and NPM. during the 2020-2023 period. The type of research used is quantitative research. The data analysis technique is using panel data regression analysis because it combines data between companies (cross section) and over time (time series) using the E-Views version 9 software application. The results of this research show that during the 2019–2023 period, mining sector share prices included in the Indonesian Sharia Stock Index (ISSI) will benefit from the Current Ratio (CR) variable. Meanwhile, in mining sector companies listed on the Indonesian Sharia Stock Index (ISSI) for the 2019–2023 period, the Debt to Asset Ratio (DAR) and Net Profit Margin (NPM) variables have no effect on the stock price variable.
Analisis Pemahaman Calon Tenaga Kerja terhadap Hak-Hak Dasar Ketenagakerjaan di Desa Kaligung Solichah, Mar’atus; Munawaroh, Madinatul; Maulana, Iqbal; Prakoso, Firza Agung
Jurnal Pendidikan Tambusai Vol. 10 No. 1 (2026)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v10i1.36552

Abstract

Pada lingkungan kerja yang menuntut setiap individu untuk melakukan pekerjaannya dengan baik, tidak dapat dipungkiri bahwa akan ada permasalahan yang muncul, baik masalah secara struktural maupun horizontal. Maka dari itu diperlukan kesiapan secara matang bagi setiap individu yang akan memilih pekerjaan yang tepat agar meminimalkan masalah yang akan terjadi. Sehingga penelitian ini akan meneliti apakah setiap calon tenaga kerja telah mengetahui hak-hak dasar ketenagakerjaan yang didapatkan apabila memasuki dunia kerja. Karena dengan kurangnya informasi dasar pada dunia kerja seperti mengenai upah layak, jam kerja wajar, kontrak kerja, dan perlindungan keselamatan menyebabkan mereka mudah mengalami penipuan rekrutmen, pemotongan upah, hingga perjanjian kerja yang tidak adil. Metode yang dipilih pada penelitian ini berupa survei kuantitatif melalui kuesioner berskala Likert yang disebarkan kepada siswa kelas akhir serta lulusan baru. Data dianalisis secara deskriptif untuk menggambarkan pola pengetahuan responden pada aspek pemahaman jam kerja, pemahaman PKWT/PKWTT, pemahaman hak cuti, serta pemahaman K3. Hasil penelitian diharapkan memberikan gambaran aktual mengenai literasi ketenagakerjaan serta menjadi dasar penyusunan program edukasi dan kebijakan yang lebih efektif dalam melindungi calon pekerja.
Sistem Pakar untuk Mengenali Jenis Kulit Wajah pada Pria Menggunakan Metode Forward Chaining Rafi, Rizqi Abdul; Purnamasari, Intan Nurina; Maulana, Iqbal
Jurnal Ilmiah Wahana Pendidikan Vol 12 No 3.A (2026): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

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

Abstract

Facial skin is the most exposed part of the body, making it vulnerable to dirt and various skin problems. Regular and appropriate care is necessary to maintain healthy facial skin. There are several types of facial skin, each requiring different treatments. However, many men still use unsuitable skincare products or are unaware of the importance of facial care. To address this issue, an expert system was developed to identify facial skin types in men based on visible skin conditions using the forward chaining method. This system simulates expert knowledge by drawing conclusions from 20 facial skin conditions to determine the user's skin type. The output of the system classifies the skin into one of five types: normal, dry, oily, combination, or sensitive. The system was developed using the Expert System Development Life Cycle (ESDLC), which includes assessment, knowledge acquisition, system design, testing, and documentation. User Acceptance Testing (UAT) results showed a user acceptance rate of 85.8% for the system’s interface and 83.4% for its usefulness. Based on interpretation criteria, these results are categorized as very good. Keywords: ESDLC, Forward Chaining, Expert Systems, Facial Skin
Penerapan K-Means Clustering Berbasis Model LRFM Untuk Segmentasi Pelanggan Pada PT Fazri Putra Mandiri Nuraini, Nabilah Hasna; Umaidah, Yuyun; Maulana, Iqbal
Jurnal Ilmiah Wahana Pendidikan Vol 12 No 3.C (2026): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

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

Abstract

The opportunities of shipping service business nowadays has led to an intense competition between businesses which has an impact on decreasing revenue for PT Fazri Putra Mandiri. The company must plan for marketing strategies and provide best services for potential and loyal customers to retain customers. To achieve this goal, customer segmentation is conducted to identify groups of customers with distinct characteristics. By understanding these characteristics, companies can develop more effective strategies aimed at customers who demonstrate high potential value and loyalty. The LRFM model is an approach in the marketing field that can be used in the clustering process to analyze potential and loyal customer segments. In this research, customer segmentation is carried out using the K-means clustering algorithm based on the LRFM model (Length, Recency, Frequency, Monetary). Determination of the k value using the Elbow method resulted in three best clusters with a silhouette score of 0.572. Cluster 0 consists of 611 customers, Cluster 1 consists of 600 customers, and Cluster 2 consists of 400 customers. The segments derived from the analysis are classified as New Customers, Lost Customers, and Loyal Customers.
Pelatihan dan Pemberdayaan Masyarakat dalam Pemanfaatan Limbah Kulit Pisang Menjadi Kecap Bernilai Ekonomis di Kelurahan Sungai Mempura, Kecamatan Mempura Setyawatiningsih, Sri Catur; Fazhira, Fuan; Sari, Dinda Permata; Lailaturrahmah, Lailaturrahmah; Pranedya, Agatha Jessica Chelsea; Mardhiah, Gadis Ainum; Saputri, Nabila Wahyu; Hendri, Zahratul Ahya; Maulana, Iqbal; Aisyah, Hizatul
Jurnal Pengabdian UntukMu NegeRI Vol. 10 No. 1 (2026): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v10i1.11231

Abstract

The village of Tambak Rejo in the Sungai Mempura subdistrict of Siak Regency has an abundance of banana peel waste that has not yet been put to productive use. This initiative aims to enhance community understanding by providing training on processing banana peels into soy sauce, an alternative food product with economic value. The educational approach involves outreach and hands-on practice. Soy sauce processing includes washing, soaking, grinding, boiling with spices, filtering, and cooking until the product is ready to consume. An evaluation was conducted by distributing a questionnaire to 25 respondents. Approximately 80% of the respondents were unaware that banana peel waste could be processed into soy sauce prior to the initiative. All participants stated that the material was easy to understand and that the practical steps were easy to follow. However, only about 32% of respondents had a thorough understanding of the stages of soy sauce production. All participants stated that processing banana peels helps reduce household waste. About 92% of respondents were interested in practicing at home. Overall, the activity was a success.
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