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All Journal Jurnal Informatika dan Teknik Elektro Terapan APPA : Jurnal Pengabdian Kepada Masyarakat Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Research Center Journal of Informatics and Information Systems
Amin Hidayat
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Transportation

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Pelatihan Basic Cyber Security Dan Perlindungan Data Diri Untuk Siswa MAN 1 Kota Tangerang Selatan Nanang; Amin Hidayat; Ade Prima Putra Suhendri
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 2 No 2 (2024): APPA : Jurnal Pengabdian kepada Masyarakat
Publisher : Shofanah Media Berkah

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Abstract

Cybercrime merupakan kejahatan yang relatif baru yang dilakukan oleh para profesional atau individu yang memiliki keahlian di bidang komputer dan teknologi informasi. Dari sisi dampak kejahatan, kejahatan di dunia maya (Internet) dapat berdampak baik di dalam maupun di luar dunia maya. Ketika aktivitas terjadi melalui media Internet, ruang dan waktu yang tidak terbatas membuat sulit untuk mendeteksi aktivitas di dunia maya dengan menggunakan metode tradisional. Dalam kasus ancaman siber, berdasarkan analisis data sistem pemantauan lalu lintas ID-SIRTII (Indonesia Security Incident Response Team On Internet Infrastructure), serangan di dunia maya Indonesia sudah mencapai 1 juta dan ternyata terus meningkat. Kelemahan dalam sistem dan aplikasi menciptakan masalah setiap hari. Melindungi aset digital adalah perhatian utama bagi dunia usaha, karena serangan siber dapat berdampak pada kinerja dan reputasi bisnis. Ada banyak metode dan teknik yang dapat membantu dalam proses membantu siswa memanfaatkan peluang besar yang dihadirkan oleh perkembangan teknologi Internet. Tinjauan mengenai keamanan siber dan perlindungan data pribadi pada gadget menunjukkan bahwa meskipun siswa kini berhasil menggunakan perangkat tersebut, pengetahuan mereka tentang keamanan data masih kurang. Memperkenalkan keamanan siber sebagai dasar keamanan data di era digital penting dilakukan untuk memastikan siswa tidak memiliki akses terhadap data pribadi untuk mencegah penyalahgunaan data oleh oknum yang tidak bertanggung jawab dan menimbulkan kerugian bagi berbagai pihak akibat penyalahgunaan data tentang pentingnya Oleh karena itu, tujuan dari kegiatan bakti sosial ini adalah untuk memperkenalkan pentingnya keamanan data di era digital dan meningkatkan pemahaman tentang keamanan siber modern dan kejahatan siber melalui konsultasi individu dengan mahasiswa. Kegiatan ini berupa materi pelatihan dan latihan pada saat pelatihan. Materi pelatihan mencakup pengenalan dampak positif kemajuan teknologi Internet, dasar-dasar penerapan keamanan data, dan penggunaan perdagangan elektronik yang aman untuk melindungi informasi pribadi. Untuk persiapan pelatihan, tim pengabdi akan melakukan percobaan penerapan keamanan data dengan menggunakan materi e-commerce dan akan membahasnya pada saat pelatihan. Pelatihan akan dilaksanakan dalam bentuk ceramah dan sesi tanya jawab. Dimulai dengan pengenalan dampak positif kemajuan teknologi Internet, Anda akan mempelajari cara menerapkan keamanan data pada produk digital dalam transaksi online, dan banyak orang serta pelajar akan mengetahui cara melindungi data tersebut. Memahami sistem keamanan gadget dan mengamankan alur transaksi di website, e-commerce, dan game. Pelatihan dilaksanakan di lab komputer Madrasah Aliya Negeri 1 Selatan Kota Tangerang, sehingga para siswa dapat langsung mempraktekkan apa yang dipelajari selama pelatihan.
PROSES PRODUKSI ROTAN DI PT.HOMEWARE INTERNATIONAL INDONESIA KABUPATEN CIREBON JAWA BARAT Amin Hidayat; Whydiantoro
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 7 (2023): STIMA 7.0 "Transformasi Peradaban Akademik Menyongsong Revolusi Industri 5.0"
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/stima.v7i0.988

Abstract

Cirebon Regency is one of the cities in West Java that produces woven rattan furniture which is also capable of exporting abroad. There are not a few companies that exist in Cirebon district, there are several products such as chairs, tables, flower pots and so on. With the establishment of a rattan company in Cirebon Regency, it has opened up job vacancies for the people of Cirebon, and there are not even a few rattan woven workers who come from outside the city of Cirebon, such as from Majalengka, Kuningan, Indramayu Regencies and other cities around Cirebon Regency. But apart from that, more and more rattan companies in Cirebon have been established, resulting in less and less land in the rattan industrial area in Cirebon, land prices are increasingly expensive so that it can disrupt the production process that occurs in companies because market demand is increasing and booming and finally rattan companies in Cirebon district also have difficulties in developing their companies. Responding to the problems found, the company entered into work contract agreements with suppliers with the aim that the company does not need to prepare large areas of land to accommodate workers when they want to carry out the production process and prepare land for storage of rattan raw materials in the hope that they can export abroad but instead are able to produce more. many woven products produced by workers from suppliers. The company only needs to prepare the land for receiving semi-finished woven from suppliers, prepare a quality control team, as well as other processes such as finishing, packing and shipping to consumers. The existence of work contract agreements with suppliers makes the rattan production process very long, starting from giving SPK, purchasing raw materials, soaking raw materials, weaving processes, field quality control processes, shipping from suppliers to companies, the process of receiving goods from suppliers at the company, washing processes , the painting process, the final quality control process, the packing process, checking the temperature and humidity, up to the delivery process. The company hopes that by having a work contract agreement with suppliers it can fulfill market demand.
Sistem Pakar Diagnosis Ispa Menggunakan Certainty Factor Berbasis Web di Puskesmas Ciputat Putri Salwa Roudonna; Amin Hidayat
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 4 No. 3 (2026): Agustus: Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v4i3.1750

Abstract

Acute Respiratory Infection (ARI) remains a major public health concern in Indonesia, including at the Ciputat Community Health Center, which handles a high volume of patients on a daily basis. Limited consultation time and low public health literacy among the community have caused early identification of ARI symptoms to often be delayed or inaccurate. This study aims to design and implement a web-based expert system for early ARI diagnosis using the Certainty Factor (CF) method. The system processes user-selected symptoms along with their associated belief degrees to handle uncertainty during the reasoning process. Knowledge base parameters, including Measure of Belief (MB) and Measure of Disbelief (MD), were obtained through consultation with medical experts. System testing was conducted using three methods, namely Black Box Testing, White Box Testing with Cyclomatic Complexity analysis, and User Response Questionnaires distributed to 37 respondents. The Black Box test confirmed that all functional features of the system operate correctly and as expected. The White Box test yielded a Cyclomatic Complexity value of 2 across all core modules, indicating logical structural simplicity and correctness of the program flow. Furthermore, the User Response test achieved a satisfaction score of 89,12%, which falls into the "Very Good" category. The developed system effectively assists users in performing preliminary self-identification of ARI symptoms and supports healthcare personnel in streamlining the triage process before formal medical consultation.
Perancangan Sistem Informasi Manajemen Keuangan Katering Berbasis Website Dengan Payment Gateway Menggunakan Agile Pada PT Wawan Sejahtera Abadi nadya sadini; Amin Hidayat
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.10707

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) di bidang katering masih menghadapi permasalahan dalam pengelolaan keuangan karena proses pencatatan pesanan, pembayaran, rekapitulasi laporan berkala yang dikerjakan secara manual. Kondisi tersebut berpotensi menimbulkan kesalahan pencatatan, keterlambatan verifikasi pembayaran, serta kesulitan dalam meninjau kondisi kas secara aktual (real-time). Penelitian ini bertujuan merancang dan membangun sistem informasi manajemen keuangan katering berbasis website yang terintegrasi dengan fitur payment gateway untuk meningkatkan efektivitas, efisiensi, dan akurasi pengelolaan keuangan pada PT Wawan Sejahtera Abadi. Pengembangan sistem menggunakan metode Agile dengan tahapan perencanaan, implementasi, pengujian, deployment, dan pemeliharaan, sedangkan pengumpulan data dilakukan melalui observasi, wawancara, dan studi pustaka. Sistem yang dikembangkan mencakup pengelolaan produk, pesanan, pembayaran, pengantaran, pengeluaran, laporan keuangan, dan performa penjualan. Integrasi payment gateway mendukung pembayaran melalui QRIS, Virtual Account, dan transfer bank sehingga status pembayaran dapat diperbarui secara otomatis. Hasil penelitian menunjukkan bahwa sistem berhasil mengintegrasikan proses bisnis keuangan dalam satu platform berbasis website, mempercepat verifikasi pembayaran, mengotomatisasi penyusunan laporan keuangan, serta memberikan informasi keuangan secara real-time. Sistem yang dibangun mampu meningkatkan efisiensi operasional dan mendukung pengambilan keputusan yang lebih cepat dan akurat.
Adaptive Linear Regression with Dynamic Statistical Validation for Non-Stationary Time-Series Modeling Ade Putra Prima Suhendri; Lely Panca Andriyanto; Amin Hidayat; Yuda Samudra
Jurnal Publikasi Ilmu Komputer Terapan Vol 1 No 1 (2026): Juli 2026
Publisher : PT. ALRCA INOVASI DIGITAL

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Abstract

This study proposes an Adaptive Linear Regression (ALR) framework for dynamic trend detection in non-stationary time-series data through adaptive window optimization and statistical validation. Unlike conventional linear regression models that rely on fixed lookback windows, the proposed framework dynamically determines the optimal window size based on a coefficient of determination (R²) threshold, allowing the model to adapt to changing data characteristics while filtering noisy observations. The validated regression model is further enhanced by constructing dynamic statistical boundaries using the Z-score distribution of regression residuals, enabling adaptive identification of significant deviations from local trends without requiring manually tuned parameters. The proposed framework was evaluated using high-frequency cryptocurrency time-series data collected from 2020 to 2025, including BTC/USDT, ETH/USDT, and SOL/USDT, as representative non-stationary datasets with high volatility. Experimental results demonstrate that the proposed approach achieves more robust trend detection and superior predictive consistency than conventional fixed-window regression and widely used baseline methods. In addition, the adaptive framework exhibits improved risk-adjusted performance and lower maximum drawdown when applied to an algorithmic trading scenario, indicating its practical applicability for dynamic decision-support systems operating on volatile time-series data. Overall, the proposed ALR framework provides a statistically grounded, interpretable, and adaptive approach for modeling non-stationary time-series and offers a promising alternative for intelligent data-driven applications.
A Comparative Analysis of Machine Learning Approaches for Diabetes Prediction: Stability of Hold-Out Testing versus Cross-Validation Ade Putra Prima Suhendri; Meidy Fajar Wahyu; Amin Hidayat; Lely Panca Andriyanto
Jurnal Publikasi Ilmu Komputer Terapan Vol 1 No 1 (2026): Juli 2026
Publisher : PT. ALRCA INOVASI DIGITAL

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Abstract

Automated medical diagnostic systems often face operational challenges when dealing with clinical datasets that contain noise, biological zero-value anomalies, and class imbalance issues. This study offers an empirical benchmark of six supervised machine learning algorithms—Random Forest (RF), Decision Tree (DT), Gradient Boosting (GB), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Gaussian Naïve Bayes (GNB)—evaluated directly on the un-imputed Pima Indians Diabetes dataset. We systematically compare the performance differences between a single 80:20 hold-out test split and a 10-fold stratified cross-validation, assessing accuracy, stability, and discrimination across various thresholds. Results show that while the hold-out test favors Random Forest (92.86%) and Decision Tree (92.21%) in accuracy, stratified cross-validation reveals that ensemble models like Gradient Boosting (88.94% CV accuracy) and Random Forest (88.55% CV accuracy) provide better operational stability. Additionally, threshold-independent metrics indicate that Gradient Boosting and Random Forest share top ROC-AUC scores (0.98), with Gradient Boosting leading in Precision-Recall AUC (0.97). Lower stability is observed in linear and probabilistic models such as SVM (81.17% accuracy, 0.84 ROC-AUC) and Gaussian Naïve Bayes on raw features. These results emphasize that relying solely on single hold-out evaluations may overestimate how well classifiers generalize, with ensemble methods emerging as the most robust approach for unconstrained clinical risk assessment.
Co-Authors Ade Prima Putra Suhendri Ade Putra Prima Suhendri Lely Panca Andriyanto Meidy Fajar Wahyu nadya sadini Nanang Putri Salwa Roudonna Whydiantoro Yuda Samudra