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All Journal TEKNIK INFORMATIKA Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik JOIN (Jurnal Online Informatika) MULTINETICS bit-Tech Cyber Security dan Forensik Digital (CSFD) Jurnal Abdi Insani Bubungan Tinggi: Jurnal Pengabdian Masyarakat Mejuajua Journal of Informatics and Communication Technology (JICT) Journal Of Human And Education (JAHE) Fuse-teknik Elektro ICONESTH SAINTEK Journal of Innovative and Creativity Journal of Informatics and Communication Technology (JICT)
Iik Muhamad Malik Matin
Politeknik Negeri Jakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Neuroscience Nursing Public Health Social Sciences Other

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Impact of Hyperparameter Optimizer for Image Malware Detection Iik Muhamad Malik Matin
International Conference on Education, Science, Technology and Health (ICONESTH) 2024: The 2nd ICONESTH
Publisher : International Conference on Education, Science, Technology and Health (ICONESTH)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46244/iconesth.vi.367

Abstract

Image-based malware detection has become an area of further research in dealing with image-based malware attacks. Various deep learning models have been used to improve detection accuracy. One popular architecture is VGG16, a convolutional network widely used in image classification. In this study, we explore the impact of hyperparameter tuning on the optimization of the VGG16 model for image-based malware detection. The hyperparameter experiments conducted in this study are optimizer, and the number of epochs. Through 6 experiments with parameter variations, we evaluate the performance of the VGG16 model using several SGD, and Adam optimizers and the number of epochs consisting of 100, 250 and 500 epochs. The experimental results show that the selection and tuning of the optimizer can affect the performance of the model in terms of accuracy and training efficiency. The optimized Adam optimizer gives the best results, with higher detection accuracy than the SGD optimizer. The results show that the Adam optimizer has the highest accuracy reaching 85%.
Pemanfaatan Teknologi IoT Pada Budidaya Ikan Di Kel. Limus Nunggal, Cileungsi, Bogor Dwi Yulianti, Susana; Malik Matin, Iik Muhamad; Iswara, Ratna Widya; Arnaldy, Defiana; Oktivasari, Prihatin; Suhandana, Ariawan Andi; Hermawan, Indra; Zain, Ayu Rosyida; Wirawan, Chandra
Mejuajua: Jurnal Pengabdian pada Masyarakat Vol. 4 No. 3 (2025): April 2025
Publisher : Yayasan Penelitian dan Inovasi Sumatera (YPIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/mejuajuajabdimas.v4i3.212

Abstract

Program perikanan di KRL Kampoeng Berseri merupakan inisiatif pemanfaatan lahan untuk memberikan nilai ekonomi. Namun, keterbatasan pengetahuan dalam pengelolaan perikanan menjadi kendala utama, terutama dalam pengontrolan kualitas air kolam yang masih dilakukan secara manual dan tanpa standar. Pengontrolan ini mencakup parameter penting seperti kandungan air, pH, oksigen terlarut, amonia, dan kecerahan. Kondisi tersebut dapat menghambat pertumbuhan ikan dan menyebabkan produksi yang tidak optimal. Untuk menjawab permasalahan di KRL Kampoeng Berseri, Desa Limus Nunggal, Kec. Cileungsi, Kabupaten Bogor, diusulkan penerapan teknologi IoT sebagai sistem kontrol kualitas air dalam budidaya ikan nila. Teknologi IoT memungkinkan pemantauan parameter kualitas air secara otomatis, seperti pH, oksigen terlarut, amonia, dan kecerahan, guna menciptakan lingkungan budidaya yang optimal. Implementasi IoT ini merupakan langkah awal dari pengabdian masyarakat pada tahun pertama, sebagai upaya mengatasi permasalahan prioritas agar kegiatan pengabdian dapat terus dikembangkan di masa mendatang. Hasil evaluasi menunjukkan bahwa kegiatan pengabdian ini berhasil meningkatkan keterampilan teknis dan pemahaman peserta terhadap teknologi IoT. Berdasarkan hasil kuesioner mengenai tingkat kepuasan mitra, 57,1% peserta menyatakan sangat puas terhadap pelaksanaan seminar dan workshop. Selain itu, 66,7% responden menyatakan bahwa perangkat IoT yang diperkenalkan sangat membantu dalam proses budidaya ikan, menunjukkan keberhasilan kegiatan dalam meningkatkan produktivitas dan efisiensi dalam pengelolaan kolam ikan di KRL Kampoeng Berseri.
Pelatihan Pembuatan Pupuk Organik Cair (POC) Sebagai Upaya Pengelolaan Sampah di Kampung Ramah Lingkungan Kampoeng Berseri, Cileungsi, Bogor Kurniawan, Asep; Ratna Widya Iswara; Dinda Kadarwati; Maria Agustin; Iik Muhamad Malik Matin; Fachroni Arbi Murad; Nur Fauzi Soelaiman; Muhammad Yusup; Syamsi Dwi Cahya
Journal Of Human And Education (JAHE) Vol. 4 No. 6 (2024): Journal of Human And Education (JAHE)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jh.v4i6.1743

Abstract

Kampung Ramah Lingkungan (KRL) Kampoeng Berseri, Cileungsi, Bogor. Oleh karena itu, perlu diadakan program pemberdayaan masyarakat yang dapat membantu masyarakat mengolah sampah. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan pelatihan pembuatan Pupuk Organik Cair (POC) sebagai salah satu solusi dalam pengelolaan sampah organik. Melalui pelatihan ini, masyarakat diajarkan cara mengolah sampah organik, seperti sisa makanan dan dedaunan, agar menjadi POC yang berguna untuk meningkatkan kesuburan tanah dan produktivitas tanaman. Selain itu, kegiatan ini juga bertujuan untuk meningkatkan kesadaran dan pemahaman masyarakat tentang pentingnya pengelolaan sampah berbasis lingkungan. Metode pelatihan yang digunakan adalah kombinasi antara ceramah, demonstrasi, dan praktik langsung yang melibatkan seluruh lapisan masyarakat. Hasil dari kegiatan ini menunjukkan antusiasme masyarakat dalam mengadopsi teknik pembuatan POC, serta adanya perubahan positif dalam cara pandang dan kebiasaan masyarakat dalam mengelola sampah. Diharapkan pelatihan ini dapat menjadi langkah awal yang efektif dalam menciptakan lingkungan yang lebih bersih dan sehat serta meningkatkan kesejahteraan masyarakat melalui pemanfaatan sampah organik.
Hyperparameter Tuning Menggunakan GridsearchCV pada Random Forest untuk Deteksi Malware Muhamad Malik Matin, Iik
MULTINETICS Vol. 9 No. 1 (2023): MULTINETICS Mei (2023)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v9i1.5578

Abstract

Random forest is one of the popular machine learning algorithms used for classification tasks. In malware detection tasks, random forest can help identify malware with good accuracy. However, to improve model performance, a hyperparameter tuning process is required. GridsearchCV is a hyperparameter tuning method that allows the user to scan a number of selected hyperparameters. In this paper, we conduct experiments using GridsearchCV to perform hyperparameter tuning on Random forests for malware detection tasks. The experimental results show that by performing hyperparameter tuning, we can improve the model's accuracy in identifying malware
Data Center Risks Analysis Through The COBIT Framework 4.1 Arini, Arini; Wardhani, Luh Kesuma; Matin, Iik Muhammad Malik
JOIN (Jurnal Online Informatika) Vol 3 No 2 (2018)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v3i2.226

Abstract

Information Technology Governance in UIN Jakarta is the responsibility of the Pusat Teknologi Informasi dan Pangkalan Data (Pustipanda). Some troubles have occurred in the data center Pustipanda, among others the loss of courses and its values that have been inputted in the application of Academic Information System (AIS), loss of data that has been inputted on the application Beban Kinerja Dosen (BKD), damage data content on the portal in the environment UIN Jakarta. Risk analysis is needed to identify and anticipate and minimize risks which may occur. In this research, the risk analysis is using the COBIT 4.1 framework that is in the PO9 process (Manage and Assess IT Risk) as input towards PO9 is the domain of PO1, PO10, DS2, DS4, DS5, ME1, and ME4. Questionnaires which were distributed to respondents were developed from input variables. Respondents were chosen by purposive sampling method. The results of the questionnaire were recapitulated and calculated the value and degree of capability. The result of this research is the level of domain capability in data center Pustipanda is at level 2 (managed) with value 1.91. A fairly low value is obtained on DS4, DS5 and ME1 domains, which are 1.67, 1.88 and 0.67. Arosen risks from the majority of data center risk assessment were the absence of documented policies and procedure and lack of training for risk management measures at Pustipanda data center.
PEMANFAATAN TEKNOLOGI INFORMASI DI BANK SAMPAH KAMPUNG RAMAH LINGKUNGAN KAMPOENG BERSERI, KECAMATAN CILEUNGSI, KABUPATEN BOGOR Matin, Iik Muhamad Malik; Iswara, Ratna Widya; Kadarwati, Dinda; Oktivasari, Prihatin; Zain, Ayu Rosyida; Agustin, Maria; Arnaldy, Defiana; Hermawan, Indra
Jurnal Abdi Insani Vol 11 No 2 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i2.1285

Abstract

Program bank sampah di KRL Kampoeng Berseri merupakan upaya pemanfaatan sampah sebagai nilai ekonomi. Namun pengelolaan tabungan yang masih dilakukan secara manual sehingga petugas dirasa sulit ketika warga tidak membawa catatan. Akibatnya, tabungan yang terkumpul diambil saat itu juga sehingga warga disekitar kurang mendapatkan manfaat. Hal ini menyebabkan antusias nasabah bank sampah di Kampoeng Berseri menurun sehingga program bank sampah tidak berjalan secara optimal. sehingga perlu diterapkan teknologi informasi. Untuk itu, diterapkan teknologi informasi untuk pengelolaan tabungan sampah dan memberikan pelatihan teknologi informasi pengelolaan tabungan sampah pada pengurus bank sampah sebagai pengelola dan warga lingkungan KRL Kampoeng Berseri. Kegiatan Pengabdian ini dimulai dari persiapan dengan identifikasi masalah, menentukan solusi dan pengembangan aplikasi. Kemudian pelaksanaan yang teridri dari hibah dan pelatihan pada mengurus bank Sampah dan warga sekitar desa Limus Nunggal. Terakhir, evaluasi untuk mengukur hasil kegiatan pengabdian masyakarat. Berdasarkan hasil survei menunjukan pelaksanaan pengabdian dapat menigkatkan ketertarikan warga dalam menggunakan aplikasi. Selain itu warga juga menyatakan kegiatan pengabdian kepada masyarakat ini memiliki manfaat yang baik dan dapat diterapkan dalam kehidupan sehari-hari dan setuju untuk melanjutkan program pengabdian ini dimasa yang akan dating. Program pengabdian masyarakat berhasil memperbaiki pengelolaan tabungan sampah dengan teknologi informasi dan meningkatkan partisipasi serta dukungan warga untuk program tersebut.
Strengthening Environmental Education through IoT-Based Smart Trash Bins Hermawan, Indra; Yulianti, Susana Dwi; Malik Matin, Iik Muhamad; Zain, Ayu Rosyida; Wirawan, Chandra; Abidin, Iqbal Rizki; Azkiya, Satria Azkal; Bisawab, Muhammad Salman; Tuzahra, Alifia; Aldrine, Zefanya; Yudha, Muhammad Dhafa Ragana
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 7, No 4 (2025): NOVEMBER 2025
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v7i4.16150

Abstract

This community service program aimed to support environmental sustainability education by implementing a Smart Trash Bin system based on Internet of Things (IoT) technology at Sekolah Alam Indonesia, Cibinong. The initiative followed a structured Participatory Action Research (PAR) approach consisting of five stages: engagement, co-development, implementation, evaluation, and feedback. A technical team developed the system from Politeknik Negeri Jakarta. It integrated ultrasonic and load-cell sensors with ESP32 microcontrollers and wireless data transmission to enable real-time monitoring of waste volume and weight. In parallel, the Environmental and Forestry Agency (DLHK) of Depok City delivered a seminar on waste ecosystem management to improve knowledge among teachers and staff. Evaluation through pre- and post-test questionnaires showed that participants' knowledge scores enhanced from 13.78 to 15.61 (out of 17), while their environmental attitudes remained consistently high. This project demonstrates a scalable model for integrating technology and environmental education in schools
Sistem Monitoring Keamanan Pada Data Center Berbasis Security Information And Event Management (Siem) Dengan Wazuh dan IDS Iik Muhamad Malik Matin; Fadhilrahman; Asep Kurniawan; Ayu Rosyida Zain; Maria Agustin
Journal of Innovative and Creativity Vol. 5 No. 1 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i1.1761

Abstract

A data center is a center for managing, storing and processing important data which includes sensitive information, business applications and technology infrastructure. Due to the importance of data centers in supporting organizational operations, their vulnerability to information security threats such as cyber attacks, unauthorized access has a serious impact on daily operations. The implementation of IDS is currently not optimal because in-depth analysis is difficult and requires experts to observe it. For this reason, an effective security monitoring system is needed on an Intrusion Detection System (IDS) based on Security Information and Event Management (SIEM) using the Wazuh platform. IDS plays an important role in detecting network security threats, while SIEM provides the ability to integrate and analyze security data from various sources. This research designs and implements Wazuh integration with SIEM to strengthen detection and response capabilities against security threats. Experimental methodology is used to evaluate the performance of the developed system, with a focus on intrusion detection, log analysis and security event management. The research results show that the integration of Wazuh with SIEM provides significant improvements in monitoring capabilities and response to security threats, which will be a valuable contribution in ensuring the security of networks and sensitive data.
Deteksi PE Ransomware Menggunakan Shallow Learning Iik Muhamad Malik Matin; Zahra Azizah; Ihsan Alamal Ahmad
Prosiding Sains dan Teknologi Vol. 5 No. 1 (2026): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 5 - Februari 2026
Publisher : DPPM Universitas Pelita Bangsa

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

Abstract

Ransomware merupakan salah satu ancaman keamanan siber yang berkembang pesat dalam satu dekade terakhir. Serangan jenis ini tidak hanya mengakibatkan kerugian finansial, tetapi juga gangguan pada layanan publik dan infrastruktur digital. Deteksi dini terhadap aktivitas ransomware menjadi tantangan utama karena pola serangan yang cepat dan adaptif. Penelitian ini bertujuan untuk mengimplementasikan metode Shallow Learning dalam mendeteksi ransomware menggunakan dataset RanSAP. Dataset ini memuat pola akses penyimpanan dari aktivitas ransomware dan aplikasi normal (benign). Empat algoritma yang digunakan yaitu Support Vector Machine (SVM), Random Forest (RF), Decision Tree dan Logistic Regression (LR). Evaluasi dilakukan dengan confusion matrix untuk mengukur akurasi, presisi, recall, dan F1-score. Hasil eksperimen menunjukkan bahwa model SVM memiliki kinerja terbaik dengan akurasi 95%, diikuti RF dengan 93%, Desicion Tree 91% dan LR dengan 89%. Penelitian ini menunjukan bahwa Shallow Learning cukup efektif dalam mendeteksi pola perilaku ransomware.
A Rule-Based Data-Driven Framework for Partner Selection in Digital Agribusiness Zahra Azizah; Iik Muhamad Malik Matin; Okta Gabriel Sinsaku Sinaga; Faiz Akbar; Asiwidia Simanjuntak
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3359

Abstract

Digital transformation has reshaped partner evaluation in agribusiness business-to-business (B2B) networks, shifting decision-making from intuition-based judgments to transparent, data-driven assessments. Addressing the need for scalable and trustworthy selection mechanisms, this study introduces a novel hybrid anomaly detection framework that sequentially combines rule-based z-score normalization with the Local Outlier Factor (LOF) algorithm to evaluate digital business credibility. The framework leverages Google Maps data, a widely accessible, user-generated information source that reflects real customer experiences, to assess 6,237 hospitality, restaurant, and café (HORECA) businesses in Indonesia’s Jabodetabek region, a growing hub in the agribusiness supply chain. Using structured data collected through the Google Places API, the rule-based method identified 47.06% of businesses as anomalies, predominantly those with disproportionately high ratings relative to customer engagement. Meanwhile, LOF detected 5.02% of density-based outliers, capturing irregularities that only emerge in local spatial and contextual comparisons. A statistical comparison (χ² = 195.10, p < 0.001) revealed a 56.52% overlap between the two methods, emphasizing their complementary strengths: rule-based thresholds provide interpretability and efficiency, whereas LOF offers sensitivity to nuanced, neighborhood-level deviations. These findings show that no single technique fully captures the complexity of digital credibility anomalies; however, their combination enables more balanced and context-aware evaluations. This approach enhances the accuracy and fairness of credibility assessments, which is crucial for partner selection in digital agribusiness ecosystems. Overall, the study provides practical and methodological contributions for building transparent, reproducible, and equitable anomaly-detection systems for emerging digital markets
Co-Authors Abidin, Iqbal Rizki Adhitya Yusuf Wibysono Ahmad Noor Jaman Ai Nur Asri Akhmad Fauzi Ikhsan Aldrine, Zefanya Arini Arini Arini Arini Arini Arini Asep Kurniawan Asep Kurniawan Asep Kurniawan Asiwidia Simanjuntak Ayu Rosyida Zain Azkiya, Satria Azkal Bambang Sugiarto Bisawab, Muhammad Salman Defiana Arnaldy Diki Rustandi Dinda Kadarwati Dwina Satrinia Fachroni Arbi Murad Fadhilrahman Faiz Akbar Firdaus, Ripki Fauzi Hapsari, Alifia Aurellia Helfy Susilawati Hutasoit, Glorya S Ihsan Alamal Ahmad Ihsan, Akhmad Fauzi Ikhsan, Akhmad Fauzi INDRA HERMAWAN Iswahyudi, Ridwan Jaman, Ahmad Noor Kadarwati, Dinda Luh Kesuma Wardhani Maria Agustin Maria Agustin Maria Agustin Muhamad Taher Jufri Muhammad Fadhil Muhammad Fadhil Muhammad Yusup Muharam, Zidan Nur Fauzi Soelaiman Nurul Faizah Rozy Okta Gabriel Sinsaku Sinaga Prihatin Oktivasari Ramadhan, Fahri Ratna Widya Iswara Ratna Widya Iswara, Ratna Widya Ripki Fauzi Firdaus Sifa Nurpadillah Suhandana, Ariawan Andi Syamsi Dwi Cahya Syifa Nurgaida Yutia Taher, Muhammad Jufri TRI ARIF WIHARSO Tuzahra, Alifia Wibysono, Adhitya Yusuf wirawan, chandra Yudha, Muhammad Dhafa Ragana Zahra Azizah Zain, Ayu Rosyida Zidan Muharam