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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal F. Teknik : RESULTAN Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknik Komputer AMIK BSI Cakrawala : Jurnal Humaniora Bina Sarana Informatika Paradigma Jurnal Ilmiah FIFO Bina Insani ICT Journal Jurnal Pilar Nusa Mandiri Information System for Educators and Professionals : Journal of Information System Jurnal Mahasiswa Bina Insani Informatics for Educators and Professional : Journal of Informatics Information Management For Educators And Professionals (IMBI) Jurnal Teknik Informatika STMIK Antar Bangsa Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Komtika (Komputasi dan Informatika) IKRA-ITH EKONOMIKA Jurnal ICT : Information Communication & Technology JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Kajian Ilmiah Jurnal Sistem Informasi Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Journal of Students‘ Research in Computer Science (JSRCS) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Pengabdian Masyarakat Information Technology (JPM ITech) Journal of Computer Science Contributions (Jucosco) Jurnal Kecerdasan Buatan dan Teknologi Informasi Jurnal Komtika (Komputasi dan Informatika) Journal of Intelligent Systems for Community Development (JISCoDe)
Herlawati Herlawati
Fakultas Ilmu Komputer, Universitas Bhayangkara Jakarta Raya
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Social Sciences Other

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A Web-Based Credit Financing Eligibility Determination System for Multifinance Companies Using the Fuzzy Tsukamoto Method Al Ihsan Fauzi Ardilla; Achmad Noe’man; Herlawati
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 3 (2026): September 2026 In progress.
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i3.575

Abstract

The credit eligibility analysis process in a financing company is a crucial stage inminimizing the risk of non-performing loans. However, the assessment processthat still relies on the subjective interpretation of credit analysts potentiallyleads to inconsistencies in decision-making. This issue also occurs at PTMandiri Utama Finance Bekasi Branch, which has shown a declining trend infinancing performance based on the indicators of End Net Receivables (ENR),Total Over Due (TOD), and Net Credit Loss (NCL). This study aims to designand develop a web-based decision support system that can assist in determiningcredit financing eligibility by applying the Fuzzy Tsukamoto method based onthe 5C principles (Character, Capacity, Capital, Collateral, and Condition).The research methods employed include observation, interviews, and literaturestudies. System development was carried out using the Waterfall model,comprising requirement analysis, system design, implementation, testing,deployment, and maintenance phases. The Fuzzy Tsukamoto method wasutilized to process data containing uncertainty through fuzzification, IF-THENrule-based inference, and defuzzification to generate credit eligibility scores.The expected result of this study is the creation of a web-based decisionsupport system capable of providing credit eligibility recommendations thatare more objective, consistent, and structured. Consequently, the developedsystem can assist credit analysts in the decision-making process and supportthe company’s efforts to minimize the risk of problematic financing.
Affordable Housing, Urban Analytics, and Inclusive Infrastructure Planning Herlawati Herlawati; rahmadya trias handayanto; Teddy Mantoro; Media Anugerah Ayu; Nitin Kumar Tripathi; Pramod Kumar
Journal of Intelligent Systems for Community Development Vol. 1 No. 1 (2026): 2026: JISCoDe Volume 1 Issue 1 Year 2026
Publisher : Indonesian Artificial Neural Network Society

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Abstract

Affordable housing, particularly in developing countries such as Indonesia, has become a major government priority through the Ministry of Housing and Residential Areas of the Republic of Indonesia. Adequate housing does not function in isolation but must be supported by complementary infrastructure such as commercial areas, roads, transportation networks, healthcare facilities, and other public service centers. Housing development should therefore be inclusive by adopting a mixed-use development approach and avoiding overly rigid zoning systems, since each land-use category is interconnected with and dependent on other land-use types. To address this challenge, urban analytics is required. This study applies land-use optimization based on four key objectives: compactness, compatibility, dependency, and suitability. By implementing clustering techniques, several potential central nodes were identified as suitable hubs for specific land-use types, including commercial centers, vertical residential districts, and industrial zones.
Road Damage Segmentation Using U-Net and FCN Based on Digital Imagery Sultan Ahmad Rizki Badani; Herlawati Herlawati; Sugiyatno Sugiyatno
Journal of Intelligent Systems for Community Development Vol. 1 No. 1 (2026): 2026: JISCoDe Volume 1 Issue 1 Year 2026
Publisher : Indonesian Artificial Neural Network Society

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Abstract

Road damage is an infrastructure problem that affects public safety and transportation mobility. Manual road damage identification is considered less effective because it is time-consuming and subjective. This study aimed to implement semantic segmentation using the U-Net and Fully Convolutional Network (FCN) architectures for road damage detection based on digital images. The research used the Cross Industry Standard Process for Data Mining (CRISP-DM) method with datasets consisting of secondary PotholeMix data and primary data collected in West Bekasi. Model training was conducted using 256×256 pixel images with evaluation metrics including Accuracy, Dice Score Coefficient, Intersection over Union (IoU), and Loss. The results showed that the U-Net model achieved better performance than FCN with an Accuracy of 0.9652, Dice Score Coefficient of 0.9596, IoU of 0.9267, and Loss of 0.0674. Furthermore, the model was successfully implemented into a Flutter-based mobile application for automatic road damage identification and monitoring.
Image-Based Facial Skin Undertone Classification Using ResNet50 and MobileNetV2 Afina Putri Dzulqiyana; Herlawati Herlawati; Andy Achmad Hendharsetiawan
Journal of Intelligent Systems for Community Development Vol. 1 No. 1 (2026): 2026: JISCoDe Volume 1 Issue 1 Year 2026
Publisher : Indonesian Artificial Neural Network Society

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Abstract

This study aims to develop an automatic facial skin undertone classification system based on deep learning using facial images. The problem stems from the manual undertone identification process, which is subjective and potentially inconsistent when determining skin color categories. The method uses a Convolutional Neural Network (CNN) and compares two architectures, ResNet50 and MobileNetV2, for classifying warm, cool, and neutral skin undertones. The dataset combines secondary data from the Hugging Face platform and primary data obtained through direct facial image capture. The study follows the CRISP-DM process, including business understanding, data understanding, data preparation, modeling, evaluation, and deployment. ResNet50 achieved an accuracy of 89.3% and a weighted F1-score of 0.893, whereas MobileNetV2 achieved an accuracy of 68.3% and a weighted F1-score of 0.684. Thus, ResNet50 demonstrated better and more stable performance for facial skin undertone classification.
Food and Beverage Sales Prediction Using Linear Regression and Random Forest Regression at Ayam Serayu Restaurant Bekasi Nabila Ramadhani Sari; Herlawati Herlawati; Prima Dina Atika
Journal of Intelligent Systems for Community Development Vol. 1 No. 1 (2026): 2026: JISCoDe Volume 1 Issue 1 Year 2026
Publisher : Indonesian Artificial Neural Network Society

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Abstract

The large number of sales transactions at Ayam Serayu Restaurant Bekasi creates challenges in managing and analyzing sales data. Manual processes make it difficult to predict future sales, affecting inventory management and decision-making. Therefore, an accurate prediction method is needed. This study applies Linear Regression and Random Forest Regression to predict sales based on historical data. The research stages included data collection, preprocessing, modeling, and evaluation using Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The results show that Random Forest Regression provides better accuracy than Linear Regression. The resulting model is expected to improve operational efficiency and support decision-making at Ayam Serayu Restaurant Bekasi.
Detection and Classification of Indonesian Batik Motifs Using YOLOv11 Mochamad Galih Pradipta; Herlawati Herlawati; Rakhmat Purnomo
Journal of Intelligent Systems for Community Development Vol. 1 No. 2 (2026): 2026: JISCoDe Volume 1 Issue 2 Year 2026
Publisher : Indonesian Artificial Neural Network Society

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Abstract

The complexity of asymmetric visual patterns and overlapping ornaments in batik motifs presents challenges for automatic identification in modern applications. The limitations of conventional classification methods have created a need for computer vision techniques capable of accurate object localization. This study aimed to detect and classify various Indonesian batik motifs in real time using the YOLOv11 model. The research methodology followed the Cross-Industry Standard Process for Data Mining (CRISP-DM), consisting of six structured phases, from business understanding to system deployment. The study focused on major variations of batik motifs originating from different regions of Indonesia, with model performance evaluated using the mean Average Precision (mAP) metric. The results demonstrated that: (1) the YOLOv11 model achieved an mAP50 of 77%; (2) data augmentation effectively reduced the risk of model overfitting; and (3) the trained detection model was successfully integrated into a web-based platform, enabling users to perform real-time image testing.
Co-Authors A.A. Ketut Agung Cahyawan W Abd Rohman Abdu Malik AlHakim Abdul Kholis Acah Acah Achmad Noe’man Achmad Wira Wiguna Adam Adam Adam Fajariansyah Adi Muhajirin Adi Supriyatna admin admin Aera Santiana Afina Putri Dzulqiyana Agus Hidayat Agus Hidayat Ajie Prasetya Ajif Yunizar Pratama Yusuf Al Ihsan Fauzi Ardilla Andy Achmad Hendhar Setiawan Andy Achmad Hendharsetiawan Andy Achmad Hendharsetiawan Andy Achmad Hendharsetiawan Anggaini, Meri Anindita Septiarini, Anindita Anis Athifah Anisa Feby Yana Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anita Setyowati Srie Gunarti Anton Anton Ardiansyah, Muhamad Asmoro Bangun Priambodo Atika , Prima Dina Ayu Afidarisa Rahma Bangga Tua Siregar Bayu Andriansyah Ben Rahman Beno Aditya Sanusi Beno Aditya Sanusi Benrahman Bertnardo Mario Uskono Bhagaskara Farhan Wiguna Binu Nuryadi Budi Santoso Bunga Pratiwi Caroline Julyana Magdalena Christhover , Robbie Dadan Irwan Dani Dani Daniel Jhon Rosinton Hutauruk Desi Puspasari Diah Putri Ramadhani Diah Putri Ramadhani Diah Putri Ramadhani Dicki Rizki Amarullah Didik Setiyadi Dinda Mutiara Hanum Dwi Budi Santoso Dwi Budi Srisulistiowati Dzulqiyana, Afina Putri Eka Puspita Sari Eka Suryani Pratiwi Ekawati, Inna Endang Retnoningsih Erene Gernaria Sihombing, Erene Gernaria Ervan Dwi Kurniawan Fachrullyanta Adi Saputra Fachrullyanta Adi Saputra Fahrika, Andi Ika Faisal Adi Saputra Fata Nidaul Khasanah Feni Meilan Tasiba Firyal Rosiana Dita Frieyadie Galih Apriansha Pradana Gedhe Hilman Wakhid Gilby Lionska Wenas Handry Hartino Haris, Syamsul Alam Harviansyah, Muhammad Haryono Haryono Haryono Hendharsetiawan , Andy Achmad Hendharsetiawan, Andy Achmad Heri Prabowo Hero Suhartono Hero Suhartono, Hero Hutauruk , Daniel Jhon Rosinton I Komang Arya Trisumeikra Icah Fitri Yani Ikhsan Dwikurniawan Ikhsan Dwikurniawan Intan Cahya Syahfitri Intan Cahya Syahfitri Ira Wardani Irham Cahya Nugraha Irwan Raharja Ivan Nur Firdaus Izdihar, Zalfa Jaja Jaja Jaja Jaja Joko Dwi Hartanto Juandika Shevani Julaiwa, Siti Hawa Karnita Afnisari, Karnita Krisendo Setiawan Kukuh Dwi Prasetyo Kurniawan, Ervan Dwi Kustanto , Prio Ladyana Suciani Syafitri Laila Salsabilla Hanifa Lubis, Riski Aditya Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Maimunah Malikus Sumadyo Marsyanda Salsa Nabila Mayora Lolly Ishimora Media Anugerah Ayu, Media Anugerah Merza Dheo Prakoso Mirza Cahya Ningrum Mochamad Galih Pradipta Muhamad Ardiansyah Muhammad Gymnastiar Muhammad Harviansyah Muhammad Muharrom Muhammad Reinaldy Santoso Muhammad Riky Sudrajat Muhammad Zidan Al Faiq Nabila Ramadhani Sari Naufal Arif Fadilah Naufal Eka Wicaksono Nida Rachmatin Nita Merlina Nita Merlina, Nita Nitin Kumar Tripathi Nitin Kumar Tripathi Noer Hikmah Novaldi Nur Pratama Novianto, Krisna Nunung Hidayatun Nur Amanda Pratiwi Nurchayati Nurchayati Nurcholis Nurcholis Oriza Sativa Dinauni Silaen Pahrizal Pahrizal Popy Purnamasari Wahid Suyitno Pradana , Galih Apriansha Pramod Kumar Priatna , Wowon Prihatin, Sandy Satyo Prilia Hashifah Syafina Prima Dina Atika Purnomo, Rakhmat Purnomo, Rakhmat Purwanti, Santi Putra Aldi Purnama Rafika Sari RAFIKA SARI Rafly Fandiansyah Rahmadanti, Regita Ari rahmadya trias handayanto Rahmadya Trias Handayanto Rahmadya Trias Handayanto Rahmadya Trias Handayanto Rahmadya Trias Handayanto Rahmadya Trias Handayanto Raihan Nurfaidzi Raka Rismayana Rakhmat Purnomo Rakhmat Purnomo Ramadhan, Sahara Ramadhani, Diah Putri Rasim Rasim Rejeki , Sri Retno Nugroho Whidhiasih Retno Sari Riska Utami Dewi Riski Aditya Lubis Rizki Aulianita, Rizki Rizky Maulana Arrasyid Robbie Christhover Robertus Suraji Rosliana, Siti Rusdiansyah Rusdiansyah Sahara Ramadhan Salwa Nabiila Pramuhesti Samsiana , Seta Sandy Satyo Prihatin Sanusi, Beno Aditya Saputra , Faisal Adi Saputra, Fachrullyanta Adi Sari , Rafika SATRIYAS ILYAS Septi Eka Hardyana Septia, Dwi Yoga Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Seta Samsiana Setyowati Srie Gunarti, Anita Shadriyah , Shadriyah Silaen, Oriza Sativa Dinauni Siti Hawa Julaiwa Siti Masripah Siti Rosliana Siti Setiawati Sohee Minsun Kim Solikin Solikin Solikin Solikin Sri Rejeki Sri Sureni Sugeng Murdowo Sugiyatno , Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sugiyatno Sultan Ahmad Rizki Badani Sunandar Sunandar Syadhaffa Gedriyansah Syafira Cessa Agustin Syahbaniar Rofiah Syahfitri, Intan Cahya Syamsul Alam Haris Tambun, Jerisman Jhon Wesli Tata Arya Cahyaaty Teddy Mantoro Tia Monisya Afriyanti Tumbur Togu Tyastuti Sri Lestari Tyastuti Sri Lestari Umi Salamah Umi Salamah Wida Prima Mustika Yana, Anisa Feby Yessi Rahmawati Yugo Bhekti Utomo Yusuf, Ajif Yunizar Pratama