Claim Missing Document
Check
Articles

Found 29 Documents
Search

Studi Kelayakan Bisnis Pengembangan Inovasi Varian Rasa Bakso Aci Pada Badan Usaha Tercabaikan Darsiti Darsiti; Asep Mahmudin; Cahya Putri Julyandaru; Putri Meilani Gustian;  Salsa Sabila
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 4 No. 1 (2024): Maret : Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v4i1.2812

Abstract

Tercabaikan is one of the MSMEs in the city of Bandung, West Java, which innovates the taste of Bakso Aci into a flavor that is favored by many people. Tercabaikan Company was first initiated by Mr. Inggra Dwipo Prayogo as the owner at this time in 2018 which is located at Jl. Sukagalih number 193 RT 05 / RW 06 Pasirjati Ujungberung, Bandung City, West Java. The purpose of this study was to test the feasibility of neglected business entities by adding variations to existing product flavors. Descriptive method, the techniques used are interviews and field observations on March 15, 2023. The results of this study indicate that the Tercabaikan business entity has the potential to be feasible to develop with innovation in Bakso Aci products. The feasibility analysis shows business sustainability with positive profit projections. However, it is important to continue to monitor and evaluate financial performance in accordance with the projections that have been generated. The feasibility results determined on this neglected business entity through a series of comprehensive observations carried out to obtain a feasible conclusion, especially in the financial elements of the neglected business entity.
A Comprehensive Machine Learning Approach for Predicting Beats Per Minute (BPM) in Music Using Audio Features Darsiti Darsiti
Bulletin of Intelligent Machines and Algorithms Vol. 1 No. 1 (2025): BIMA November 2025 Issue
Publisher : Maheswari Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65780/bima.v1i1.2

Abstract

Predicting Beats Per Minute (BPM) in music is a significant challenge due to the complexity of the relationship between various audio features, such as rhythm, energy, and mood. Traditional methods are often unable to handle the complexity of feature variations and interactions. This study aims to develop a more accurate and reliable machine learning model to predict song BPM based on extracted audio features. We use advanced machine learning algorithms, including LightGBM, XGBoost, and Random Forest, to train models with a dataset covering ten audio features. Evaluation is performed using a k-fold cross-validation scheme with RMSE, MAE, and R² Score metrics. The experimental results show that boosting-based models such as LightGBM produce the best performance, with the lowest RMSE of 10.48, the lowest MAE of 7.62, and the highest R² Score of 0.83. However, these models still show a tendency to regress to the mean, indicating that some more extreme BPM variations are not fully captured. These findings emphasize the importance of improvements in feature engineering techniques and data rebalancing to improve BPM prediction accuracy in practical applications, such as music recommendation systems and tempo analysis.
Data Localization and Competitive Reconfiguration: Strategic Adaptation in Emerging Digital Economies Darsiti
Manexia: Journal of Business, Management, and Creative Economy Vol. 1 No. 3 (2025): Governing Digital Markets: Structure and Power
Publisher : UDEX Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66203/manexia.01304

Abstract

Data localization has emerged as a defining feature of digital governance in emerging economies, reshaping the institutional environment within which firms compete. While existing research largely frames data localization as a compliance burden or trade barrier, its strategic implications for competitive positioning remain underexplored. This article develops a mechanism-based conceptual framework explaining how data localization induces competitive reconfiguration through four interrelated mechanisms: cost asymmetry creation, reinforcement of territorial embeddedness, architectural modularization, and adaptive capability differentiation. Drawing on institutional theory, international business scholarship, dynamic capabilities, and platform ecosystem research, the study argues that localization policies transform data from a globally scalable resource into a jurisdiction-bound strategic asset. This territorialization alters location advantages, redefines scalability logic from global integration to regional clustering, and differentiates firms based on infrastructural flexibility and adaptive capacity. Competitive outcomes are therefore conditional rather than deterministic: firms with strong domestic embeddedness and high dynamic capabilities are better positioned to convert regulatory segmentation into strategic advantage, whereas centrally integrated and rigid architectures face heightened erosion risks. By reframing data localization as a driver of competitive reordering rather than mere regulatory constraint, the article advances understanding of how institutional boundary-making reshapes digital market dynamics in emerging economies.
An LSTM-Based Approach for Short-Term Solar Power Forecasting with Diurnal and Intra-Day Variability Darsiti Darsiti; Tarsinah Sumarni; Fahmi Abdullah; Budiman
Bulletin of Intelligent Machines and Algorithms Vol. 1 No. 2 (2026): BIMA January 2026 Issue
Publisher : Maheswari Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65780/bima.v1i2.7

Abstract

The increasing penetration of solar photovoltaic (PV) systems into modern power grids demands accurate, reliable short-term power forecasting to ensure operational stability and efficient energy management. However, solar power generation exhibits strong nonlinearity, non-stationarity, and pronounced temporal dependencies, driven by diurnal cycles and rapid environmental variations, which pose significant challenges for conventional forecasting approaches. This study aims to develop an efficient Long Short-Term Memory (LSTM)-based framework for short-term DC power prediction that effectively captures the temporal dynamics of solar power generation while maintaining low computational complexity. The proposed approach utilizes historical power and operational data collected from two utility-scale solar PV plants in India. A comprehensive time-series preprocessing pipeline is applied, including temporal feature extraction, categorical transformation, and Min–Max normalization. Multiple LSTM architectures with varying numbers of hidden units are systematically evaluated to identify an optimal balance between model complexity and predictive performance. Model training is conducted using the Adam optimizer with exponential learning rate decay and early stopping to prevent overfitting. Experimental results demonstrate that the proposed LSTM model with a 25–50 unit configuration achieves the best performance, yielding a test Mean Squared Error of 51.92 and a prediction error of only 0.36%. Visual and quantitative analyses confirm that the model accurately reconstructs diurnal patterns and intra-day fluctuations, with strong generalization capability on unseen data. The findings indicate that a carefully configured LSTM can deliver high forecasting accuracy without relying on complex hybrid architectures or additional weather data, making it suitable for practical solar energy management applications.
YOLO26n-Based Apple Leaf Disease Detection for Precision Agriculture Using Lightweight Deep Learning and Object Detection Darsiti Darsiti; Budiman; Dhika Wdiyanto; Tarsinah Sumarni
Bulletin of Intelligent Machines and Algorithms Vol. 1 No. 4 (2026): BIMA May 2026 Issue
Publisher : Maheswari Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65780/bima.v1i4.22

Abstract

Early detection of apple leaf diseases is a critical factor in supporting agricultural productivity and minimizing losses caused by plant disease outbreaks. However, manual identification processes still have limitations in terms of accuracy, consistency, and time efficiency. This study aims to develop an apple leaf disease detection model based on object detection using YOLO26n to identify four main classes: Apple__BlackRot, Apple__CedarRust, Apple__Healthy, and Apple__Scab. The dataset was obtained from Kaggle in YOLO format, consisting of 2,754 training images and 687 validation images. The study employs a transfer learning approach with various data augmentation techniques, such as mosaic, mixup, copy-paste, rotation, translation, and HSV transformation, to enhance the model’s generalization ability. Evaluation was conducted using the Precision, Recall, mAP50, and mAP50-95 metrics. The results showed that the YOLO26n model achieved a Precision of 0.968, a Recall of 0.887, an mAP50 of 0.958, and an mAP50-95 of 0.880. The best performance was achieved on the Apple__BlackRot class with an mAP50-95 value of 0.987. The inference results also show that the model is capable of accurately localizing diseases through bounding boxes with a high level of confidence. These findings indicate that YOLO26n has great potential as an efficient and accurate lightweight model for the implementation of real-time precision agriculture-based plant disease detection systems.
Implementasi Aplikasi Laporan Kegiatan Magang Berbasis Web pada Bidang Pelayanan Perpustakaan dan Kearsipan Dispusipda Jawa Barat Nanda Alia Destiara; Darsiti; Mamok Andri Senubekti
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 3 (2026): Juni, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/pvw42x38

Abstract

Abstrak - Pengelolaan laporan kegiatan magang pada Bidang Pelayanan Perpustakaan dan Kearsipan (PPK) Dispusipda Jawa Barat sebelumnya masih menggunakan Google Form sehingga proses pencatatan dan rekap laporan kurang efektif. Penelitian ini bertujuan merancang dan membangun aplikasi laporan kegiatan magang berbasis web untuk memudahkan peserta magang dalam melakukan pelaporan harian serta membantu admin dalam mengelola data laporan. Metode pengembangan sistem yang digunakan adalah Rapid Application Development (RAD) karena mampu mendukung proses pengembangan sistem secara cepat sesuai kebutuhan pengguna. Aplikasi dibangun menggunakan PHP dan MySQL. Hasil penelitian menunjukkan bahwa sistem yang dibangun dapat membantu proses pelaporan menjadi lebih rapi, terstruktur, dan mudah dikelola. Selain itu, sistem dapat membantu admin memantau aktivitas peserta magang serta menghasilkan laporan dalam format PDF dan Excel secara lebih cepat dan efisien. Berdasarkan hasil pengujian Black Box Testing, seluruh fitur utama sistem dapat berjalan sesuai dengan fungsi yang diharapkan. Kata kunci : Digitaslisasi; Laporan Magang; Website; Rapid Application Development (RAD); Black Box Testing; Abstract - The management of internship activity reports at the Library and Archives Service Division (PPK) of Dispusipda West Java previously still used Google Forms, making the recording and report recapitulation process less effective. This study aims to design and develop a web-based internship activity reporting application to facilitate interns in submitting daily reports and assist administrators in managing report data. The system development method used is Rapid Application Development (RAD) because it supports rapid system development according to user requirements. The application was developed using PHP and MySQL. The results show that the system can make the reporting process more organized, structured, and easier to manage. In addition, the system helps administrators monitor internship activities and generate reports in PDF and Excel formats more quickly and efficiently. Based on Black Box Testing results, all main system features function properly according to the expected requirements. Keywords: Digitalization; Internship Report; Website; Rapid Application Development (RAD); Black Box Testing;
Penerapan Metode Rapid Application Development dalam Membangun Sistem Informasi Arsip Desa Berbasis Website Bayu Fajri Noorjamil; Mamok Andri Senubekti; Darsiti
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 4 (2026): Agustus, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/asrnm920

Abstract

Abstrak - Pengelolaan berkas administrasi pada tingkat pemerintahan desa kerap kali terkendala oleh keterlambatan pelayanan yang dipicu oleh pencatatan buku agenda konvensional serta penyimpanan arsip fisik yang rentan terhadap kerusakan dan kehilangan data. Penelitian ini bertujuan untuk mengatasi inefisiensi tersebut melalui optimalisasi tata kelola dokumen internal dan keterbukaan informasi publik di Kantor Desa Buahbatu lewat penyediaan platform kearsipan digital berbasis web. Guna merealisasikan target tersebut, sistem ini dirancang dengan mengadopsi kerangka kerja Rapid Application Development (RAD). Metodologi ini dipilih karena menitikberatkan pada siklus pengembangan interaktif yang ringkas, meliputi fase perencanaan kebutuhan, lokakarya desain, hingga tahap implementasi akhir. Secara teknis, infrastruktur aplikasi berjalan di atas fondasi bahasa pemrograman HTML5, CSS3, PHP, dan JavaScript, dengan MySQL selaku sistem manajemen basis datanya. Fitur utama yang diimplementasikan mencakup pengelolaan surat masuk dan keluar, fitur pengatur privasi berkas (visibility toggle), serta formulir pengajuan dokumen publik yang dilengkapi kode pelacakan otomatis (tracking code) bagi warga. Hasil pengujian fungsionalitas menggunakan Blackbox Testing menunjukkan seluruh modul beroperasi sukses tanpa adanya galat logika. Selain itu, pengujian User Acceptance Testing (UAT) melalui observasi langsung membuktikan bahwa sistem ini mampu memangkas durasi temu kembali dokumen (document retrieval) secara drastis, dari yang semula membutuhkan waktu 10 hingga 15 menit menjadi hanya dalam hitungan detik. Kajian ini berhasil menyelaraskan kebutuhan operasional aparatur desa dengan platform digital yang aman, transparan, serta responsif terhadap pelayanan publik. Kata kunci: Sistem Informasi; Manajemen Arsip; Website; Rapid Application Development; Abstract - Administrative document management at the village government level frequently encounters operational delays driven by conventional ledger logging and vulnerable physical archiving, which risks data loss and degradation. This study addresses these inefficiencies by optimizing internal document governance and public information disclosure at the Buahbatu Village Office through a web-based digital archiving platform. To achieve this objective, the system was engineered using the Rapid Application Development (RAD) framework. This methodology was prioritized for its condensed, iterative development cycles, which span requirements planning, design workshops, and final implementation phases. Technologically, the application leverages an infrastructure built upon HTML5, CSS3, PHP, and JavaScript, utilizing MySQL as the Relational Database Management System (RDBMS). Core features deployed include incoming and outgoing mail management, a document privacy visibility toggle, and a public document submission form equipped with automated tracking codes for residents. Functional evaluation via Blackbox Testing indicated that all modules operationalized successfully with zero logical faults. Furthermore, User Acceptance Testing (UAT) conducted through direct observation demonstrated that the system drastically accelerates document retrieval speeds, reducing the duration from the baseline of 10 to 15 minutes down to mere seconds. Ultimately, this research successfully aligns village operational demands with a secure, transparent, and highly responsive public service platform. Keywords: Information System; Archive Management; Website; Rapid Application Development.
Pengembangan Fitur Integrasi Data untuk Efisiensi Layanan Peminjaman Arsip Digital pada E-Bale Sunda Fenti Febrian A; Mamok Andri Senubekti; Darsiti
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 4 (2026): Agustus, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/az7tz550

Abstract

Abstrak - Layanan administrasi hukum pada peradilan modern menuntut adanya kecepatan, ketepatan, dan keamanan dokumen yang optimal. Penelitian ini dilatarbelakangi oleh permasalahan operasional pada aplikasi e-Bale Sunda di Pengadilan Negeri Bale Bandung Kelas 1A, di mana pengolahan data peminjaman arsip perkara belum terintegrasi secara otomatis dengan database internal. Kondisi tersebut memicu adanya duplikasi entri data manual oleh petugas kepaniteraan yang berdampak pada lambatnya durasi birokrasi penemuan berkas. Tujuan utama dari studi ini adalah merancang dan mengembangkan fitur integrasi data internal lintas basis data memanfaatkan API lokal di dalam arsitektur Model-ViewController. Metode pengembangan perangkat lunak yang diterapkan mengadopsi kerangka kerja Agile Scrum yang lincah dan adaptif terhadap pemenuhan kebutuhan sistem. Pengujian dilakukan secara fungsional menggunakan skenario pengisian data perkara secara terpadu. Hasil implementasi menunjukkan bahwa fitur integrasi pengisian otomatis (autofill API) berhasil memangkas redundansi pencatatan arsip digital serta meningkatkan efisiensi waktu pemrosesan layanan peminjaman dari semula 22-37 menit menjadi kurang dari 5 detik secara real-time. Kata kunci : CodeIgniter 4; e-Bale Sunda; Integrasi Data; Peminjaman Arsip; Scrum; Abstract - Legal administrative services in modern judiciaries demand optimal speed, accuracy, and document security. This research is motivated by operational issues within the e-Bale Sunda application at the Bale Bandung Class 1A District Court, where the data processing for case archive lending has not been automatically integrated with the internal database. This condition triggers manual data entry duplication by registry clerks, resulting in a sluggish bureaucratic process for file retrieval. The primary objective of this study is to design and develop an internal, cross-database data integration feature utilizing a local API within a Model-View-Controller architecture. The software development method applied adopts the Agile Scrum framework, which is agile and adaptive in fulfilling system requirements. Functional testing was conducted using an integrated case data entry scenario. The implementation results demonstrate that the automatic fill integration feature (autofill API) successfully cuts down the redundancy of digital archive recording and improves the processing time efficiency of lending services from the initial 22-37 minutes to less than 5 seconds in real-time. Keywords: CodeIgniter 4; e-Bale Sunda; Data Integration; Archive Lending; Scrum;
Pengembangan Website E-Commerce Berbasis PHP untuk Pemesanan Produk Makanan dan Minuman di Cafe Nacita Alfi Allafnatasya; Mohammad Syafiuddin Usman; Darsiti
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 4 (2026): Agustus, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/5h75p479

Abstract

Abstrak - Cafe Nacita merepresentasikan salah satu bentuk Usaha Mikro, Kecil, dan Menengah (UMKM) yang berfokus pada industri kuliner rumahan, menyajikan aneka ragam penganan ringan serta minuman kekinian. Dalam praktiknya, skema transaksi yang berlangsung masih sangat bertumpu pada prosedur manual, di mana pencatatan pesanan dan pengelolaan stok kerap menyita waktu produktif pengelola yang juga menjalankan peran ganda sebagai ibu rumah tangga. Permasalahan ini berdampak pada terbatasnya jangkauan ekspansi pasar dan munculnya inefisiensi dalam pelayanan konsumen. Merespons kendala tersebut, penelitian ini menggagas perancangan dan pembangunan platform e-commerce yang diotomasikan menggunakan bahasa skrip PHP dan sistem manajemen basis data MySQL. Pendekatan siklus hidup pengembangan sistem yang diadopsi adalah metodologi Waterfall, yang mengakomodasi tahapan komprehensif mulai dari analisis spesifikasi kebutuhan, arsitektur desain antarmuka dan basis data, pengodean sistem, pengujian kotak hitam (black-box), hingga skenario pemeliharaan. Inovasi mendasar dari perangkat lunak ini adalah implementasi fitur keranjang belanja interaktif berbasis JavaScript yang terintegrasi secara langsung dengan antarmuka Application Programming Interface (API) WhatsApp. Fungsionalitas ini memungkinkan sistem untuk merangkum rincian belanjaan konsumen dan mengekstraksinya menjadi draf pesan terstruktur (nota digital) secara otomatis tanpa memerlukan gerbang pembayaran pihak ketiga. Evaluasi sistem menempatkan akurasi fungsional pada tingkat optimal, menunjukkan bahwa integrasi alur ini sukses mereduksi hambatan komunikasi repetitif, mempermudah kontrol inventaris melalui panel administrator, serta secara signifikan mendorong transformasi digital UMKM kuliner dalam memperluas pangsa pasar lokal. Kata kunci : E-commerce; Website; PHP; WhatsApp; Penjualan Online;  Abstract - Cafe Nacita represents a form of Micro, Small, and Medium Enterprises (MSMEs) focusing on the home-based culinary industry, serving a variety of snacks and contemporary beverages. In practice, the transaction scheme still relies heavily on manual procedures, where order recording and stock management often consume the productive time of the manager, who also juggles a dual role as a housewife. This issue results in limited market expansion and inefficiencies in customer service. Responding to these constraints, this study proposes the design and development of an e-commerce platform automated using the PHP scripting language and MySQL database management system. The system development life cycle approach adopted is the Waterfall methodology, which accommodates comprehensive stages from requirements specification analysis, interface and database architecture design, system coding, black-box testing, to maintenance scenarios. The fundamental innovation of this software is the implementation of an interactive JavaScript-based shopping cart feature directly integrated with the WhatsApp Application Programming Interface (API). This functionality allows the system to summarize consumer shopping details and extract them into a structured message draft (digital receipt) automatically without requiring a third-party payment gateway. System evaluation places functional accuracy at an optimal level, indicating that the integration of this workflow successfully reduces repetitive communication barriers, facilitates inventory control through an administrator panel, and significantly drives the digital transformation of culinary MSMEs in expanding their local market share. Keywords: E-commerce; Website; PHP; WhatsApp; Online Sales;