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I Gede Iwan Sudipa
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krisnadana@sidyanusa.org
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Jurnal Krisnadana
Published by Yayasan Sinergi Widya Nusantara
ISSN : 28083520     EISSN : 28083563     DOI : 10.58982
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Jurnal Krisnadana merupakan jurnal yang dapat menjadi wadah bagi civitas akademika dan kalangan profesional dalam mempublikasikan karya ilmiah ataupun hasil penelitiannya dengan tetap mengutamakan orisinalitas karya, pengembangan kelimuan dan kontribusi dalam berbagai bidang. Jurnal Krisnadana berfokus pada bidang Ilmu Komputer, Sistem Kendali, dan Jaringan. Fokus dan Ruang lingkup pada Jurnal Krisnadana (Komputer, Sistem Kendali, & Jaringan) yang dapat menjadi topik makalah atau penelitian meliputi berbagai bidang minat, diantaranya: 1) Rekayasa perangkat lunak; 2)Sistem Informasi; 3) Sistem Pendukung Keputusan (SPK); 4) Sistem Pakar; 5) Kecerdasan Buatan; 6) Aplikasi Mobile; 7) Pengolahan Citra; 8) Robotika; 9) Smarts System; 10) Cloud Technology; 11) Image Processing; 12) Internet Of Things (IOT); 13) Jaringan Komputer; 14) Komputasi Paralel; 15) Sistem Terdistribusi; 16) Data Analytic; 17) Audit Teknologi Informasi; 18) Telekomunikasi dan Pemrosesan Sinyal; 19) Otomasi kontrol (Control Automation); 20) Topik studi relevan lainnya.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 145 Documents
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Rancang Bangun Mesin Roasted Biji Kopi Timor Portabel Berbasis Internet Of Things (IoT) dengan Mikrokontroler ESP32 Alfonsus Jefri Oematan; Yoseph P.K. Kelen; Budiman Baso; Willy Sucipto
Jurnal Krisnadana Vol 3 No 3 (2024): Jurnal Krisnadana – Mei 2024
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/krisnadana.v3i3.606

Abstract

Sejak tahun 1980, ide pengembangan tanaman kopi di Timor khususnya di Eban, muncul karena kondisi suhu yang mendukung pertumbuhan tanaman kopi di daerah ini, terutama di desa Suanae. Perkembangan meningkat sehingga  popularitas kopi di Timor semakin tinggi.  Namun, untuk dapat di nikmati, kopi harus melewati suatu prosees penting yaitu proses penyangraian. Proses penyangraian kopi yang masih di gunakan saat ini masih menggunakan alat serta cara manual. bahan baku dan penikmat kopi di Timor sangat banyak namun ketersediaan mesin sangrai portable yang dilengkapi dengan teknologi berbasis Internet of Things (IoT) masih belum ada. Sehingga untuk mengkatkan efisiensi dan kontrol dalam proses penyangraian, teknologi berbasis IoT dapat di manfaatkan sebagai solusi. Dimana  sistem yang di bangun berjalan semiotomatis dan telah terkoneksi dengan internet menggunakan mikrokontoler ESP32 sehingga suhu dan waktu pada proses penyangraian dapat  di monitoring dan di seting memalui Smartphone menggunakan aplikasi Blynk. Dalam mesin Roastet Portable ini menggukanan sensor Thermocouple Max6675 sebagai pengukur suhu pada tabung sangrai dan Push Button untuk memngatur waktu penyangraian  serta mikrokontroler ESP32 sebagai pusat kendali utama dan pemroses data. Hasil dari sistem yang di buat ini adalah sistem mampu mengirim dan menampilkan data, serta mengontrol peroses penyangraian biji kopi dengan baik.
Sistem Pendukung Keputusan Penerimaan Bantuan Sosial Perikanan untuk Nelayan menggunakan Metode Simple Additive Weighting (SAW) Lusi Asameta; Yoseph P.K Kelen; Siprianus S Manek
Jurnal Krisnadana Vol 3 No 3 (2024): Jurnal Krisnadana – Mei 2024
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/krisnadana.v3i3.620

Abstract

Nelayan merupakan penduduk yang tinggal di pesisir pantai dan sumber kehidupan ekonominya bergantung secara langsung pada kegiatan mengolah sumber daya laut, komunitas nelayan atau kelompok dan orang  yang mata pencarian hasil laut dan tinggal di desa, Pantai atau pesisir Aset nelayan bagi Indonesia juga salah satu factor yang penting serta menjadi ujung tombak dalam pengembangan di bidang kelautan dan perikanan Aktivitas  nelayan yang berada di dalam laut, untuk menangkap ikan  memilik resiko tinggi yang bahkan mengancam keselamatan jiwa. Proses pemberian bantuan sosial kepada nelayan di Kabupaten Belu masih dilakukan secara manual, menyebabkan penumpukan dokumen, keterlambatan, dan kesalahan dalam pengajuan bantuan. Untuk mengatasi masalah ini, penelitian ini mengembangkan sistem pendukung keputusan (SPK) berbasis metode Simple Additive Weighting (SAW) yang dapat mengotomatisasi proses seleksi calon penerima bantuan. Metode SAW dipilih karena kemudahannya dalam implementasi, efisiensi perhitungan, serta transparansi dan fleksibilitas dalam menyesuaikan kriteria dan bobot. Hasil penelitian menunjukkan menunjukkan ranking 13 alternatif penerima bantuan sosial kepada nelayan berdasarkan dari 5 kriteria penilaian yang telah ditentukan oleh pengambil keputusan, sehingga dapat menghasilkan keputusan obyektif dengan mempertimbangkan setiap nilai alternatif pada setiap kriteria sehingga dapat menunjangkan penerima bantuan yang paling sesuai.
Teknik Penilaian Kinerja Karyawan dengan Metode Behaviorally Anchor Rating Scale (BARS) pada PT Indomarco Prismatama Nabil Haidar Suwanda; Dedi Rianto Rahadi
Jurnal Krisnadana Vol 3 No 3 (2024): Jurnal Krisnadana – Mei 2024
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/krisnadana.v3i3.621

Abstract

Sangat penting bagi setiap perusahaan atau organisasi untuk melakukan penilaian kinerja. Hal ini sangat berkaitan dengan keputusan yang akan dibuat oleh perusahaan. Setiap perusahaan biasanya menggunakan metode yang berbeda-beda untuk menilai kinerja setiap karyawan. Dengan menggunakan metode Behaviour Anchor Rating Scale (BARS), artikel ini ditulis untuk merancang sistem penilaian kinerja untuk setiap karyawan tetap di perusahaan ini. Tujuan dari artikel ini adalah untuk mengetahui penilaian kinerja karyawan retail yang akan digunakan dalam proses pengambilan keputusan. Perancangan sistem penilaian kinerjanya dimulai dengan menentukan standar untuk menilai kinerja karyawan, membuat skala yang harus digunakan, dan akhirnya menentukan skor akhir karyawan. Hasil penelitian menghasilkan pilihan A3 sebagai karyawan terbaik dengan nilai 4,05.
UI/UX Design of a Web-Based Linmas Attendance System in Desa Abiansemal Using Design Thinking Methods Based on Face Recognition and Geolocation Putu Yoka Angga Prawira; I Putu Yoga Indrawan
Jurnal Krisnadana Vol 5 No 3 (2026): Jurnal Krisnadana May - July 2026
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/rsygf387

Abstract

Currently, the management of village security forces (Linmas) in Desa Abiansemal uses manual attendance system which is vulnerable to location spoofing and buddy punching. The purpose of this research is to design and implement a Web-Based Linmas Attendance System as an effort in improving accuracy and discipline of Administrative. The implemented solution combines Geofencing technologies, applied through validation of GPS coordinates based on the Haversine formula and AI based Facial Recognition done using face-api. js for real-time biometric authentication. The system is built on the Laravel framework with a MySQL database. We performed functionality testing as well as the SUS (System Usability Scale) method to evaluate the interface and user experience. The results show that the technology effectively prevents ghosting by verifying not only the attendance of a user within the determined duty radius but also visually confirming the identity of a dutiable person. A quantitative evaluation scored an SUS score of 77.5 within a range to the "Good" rating category for interface usability. The finding of the study indicates that the prototype meets user expected in terms of effectiveness and comfort making it a robust and viable digital solution for contemporary village governance.
Prioritizing Human Resource Competency Development and Financial Management in MSMEs Using the Analytic Hierarchy Process (AHP) Ayu Gede Willdahlia; Ni Made Sudianti; Eko Maisusanto; Ni Made Astini Rahayu
Jurnal Krisnadana Vol 5 No 3 (2026): Jurnal Krisnadana May - July 2026
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/at28bd26

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in supporting economic growth and employment, particularly in developing countries such as Indonesia. Despite their significant contribution to the national economy, many MSMEs still face internal challenges related to human resource competencies and financial management. These limitations often hinder business sustainability and competitiveness. Therefore, determining priority development strategies is essential to optimize the limited resources available to MSME actors.This study aims to analyze the priority factors for MSME development through human resource competency and financial management using the Analytic Hierarchy Process (AHP) method. The research was conducted in Denpasar City, Bali, involving 17 respondents consisting of MSME owners, academics, business consultants, and financial practitioners selected through purposive sampling. Data were collected using pairwise comparison questionnaires based on Saaty’s scale and analyzed through AHP procedures, including hierarchy structuring, pairwise comparison matrix construction, normalization, priority weight calculation, and consistency testing.The results show that human resource competency is the most important factor in MSME development compared to financial management. Among the human resource sub-criteria, digital literacy has the highest priority, followed by training, experience, and education. Meanwhile, in financial management, financial recording is identified as the most important sub-criterion, followed by budgeting, cost control, and financial planning. These findings indicate that strengthening digital competencies and improving systematic financial recording practices are key priorities for enhancing MSME performance and sustainability.This research provides practical implications for MSME development programs by emphasizing the importance of targeted training and financial management improvements. The results can serve as a reference for policymakers, practitioners, and MSME actors in designing more effective strategies to support sustainable MSME growth.
Enhancing ETL Performance in Retail Data Warehousing through Partitioning, Materialization, and Temporary Staging Approaches I Putu Susila Handika; I Kadek Susila Satwika
Jurnal Krisnadana Vol 5 No 3 (2026): Jurnal Krisnadana May - July 2026
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/5nmmd513

Abstract

The accelerating accumulation of transactional records across the retail sector has placed considerable pressure on data infrastructures, particularly in supporting time-sensitive business analytics. Within the construction of a retail data warehouse, the Extract, Transform, Load (ETL) stage frequently emerges as the principal performance bottleneck whenever data volume scales upward. The present study seeks to examine and contrast the performance behaviour of three commonly applied ETL optimisation techniques, namely Partitioned Table, Materialized View, and Temporary Table, in order to identify which approach is most appropriate for handling large-volume data integration. To address this objective, an experimental investigation was conducted using five years of accumulated sales transaction data, which were processed through three independent ETL pipelines built in Pentaho Data Integration. Each pipeline was assessed in terms of execution time, CPU utilisation, and RAM consumption. The empirical results reveal that the Partitioned Table approach consistently yields superior performance across every observed metric, achieving the shortest average execution time of 26.4 seconds, the lowest CPU usage at 42 percent, and the smallest memory footprint of 385 MB. These outcomes suggest that segmenting data along temporal attributes provides substantial benefits for ETL workloads, positioning partitioning as the most viable optimisation strategy for retail data warehouse environments. Beyond the technical findings, the study also offers practical guidance for selecting ETL methods that align with data growth trajectories and the constraints of available system resources.
Usability Evaluation of The Paket Agung Village Website Using System Usability Scale (SUS) Method Ketut Utut Arta Gunawan; I Made Edy Listartha; I Nyoman Tri Anindia Putra
Jurnal Krisnadana Vol 5 No 3 (2026): Jurnal Krisnadana May - July 2026
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/hhw13q14

Abstract

The Paket Agung Village website is an important public information resource for the community, however, since its launch, the effectiveness and efficiency of its use from the user perspective have never been measured. This research aims to evaluate the website’s usability and provide recommendations for improvement. The evaluation was conducted using the System Usability Scale (SUS) method, involving 20 respondents who are residents of Paket Agung, supplemented by 3 open-ended questions at the end of the survey. The results show that the average SUS score obtained was 61.5. Based on interpretation standards, the Paket Agung Village website is categorized as having a Marginal level of acceptability with a Grade D rating. These results indicate that the website is accessible and usable, but does not yet provide an optimal user experience. The main issues identified are a lack of comprehensive information, numerous empty or unfilled menus, and a lack of regular content updates. As a recommendation, the website administrators are advised to fill in and update the content in the available menus to increase public trust and interest in visiting the site. For future researchers, it is recommended to combine the SUS method with other methods or use a more comprehensive method to obtain a more in-depth analysis,
Integrating WebQual 4.0 and Machine Learning for Evaluating JDIH Tabanan Regency Website Gusti Putu Sutrisna Wibawa; Putu Sugiartawan; Ni Wayan Sumartini Saraswati
Jurnal Krisnadana Vol 5 No 3 (2026): Jurnal Krisnadana May - July 2026
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/pfefaf94

Abstract

The Legal Documentation and Information Network (JDIH) website of Tabanan Regency is a digital public service platform that provides access to regional regulations and legal documents. Evaluating website quality is important to ensure that the services provided are able to meet user needs and expectations. Previous studies on website evaluation generally applied either WebQual 4.0 or sentiment analysis separately, while studies integrating both approaches remain relatively limited. Therefore, this study combines WebQual 4.0 and machine learning–based sentiment analysis to provide a more comprehensive website evaluation. This study employed a mixed-methods approach involving 120 respondents and 120 user comments. Website quality evaluation was conducted using the WebQual 4.0 framework through three dimensions: usability, information quality, and service interaction. Sentiment analysis was performed using preprocessing techniques, TF-IDF feature extraction, and the Random Forest algorithm. The results showed that all WebQual dimensions achieved excellent categories, with usability obtaining the highest mean score of 4.487. Positive sentiment dominated user comments at 59.2%, while the Random Forest model achieved an accuracy rate of 79%. This integrated approach provided a more comprehensive evaluation and identified several technical aspects that still require improvement, including system performance, feature optimization, and interface consistency.
Techno-Economic Feasibility Analysis of Rooftop Solar Power Plant Implementation Based on Electricity Consumption Patterns and kWh Export Schemes I Made Agus Sudiartha; Putu Sugiartawan; Aniek Suryanti Kusuma
Jurnal Krisnadana Vol 5 No 3 (2026): Jurnal Krisnadana May - July 2026
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/kj2cw117

Abstract

This study aims to analyze the techno-economic feasibility of implementing rooftop solar power plants based on electricity consumption patterns and kWh export schemes. The data used comes from the Kaggle dataset "Surabaya Electric Consumption by Sector" and is processed using Google Colab. The research method uses a descriptive-comparative quantitative approach through electricity consumption pattern analysis, technical simulation of rooftop solar power plants, and a comparison of 65% and 100% kWh export schemes. The results show that the industrial sector has the highest electricity consumption, followed by households and businesses and hotels. Simulations show that increasing solar power plant capacity increases energy production and kWh exports, but nighttime electricity imports still occur because the system does not use batteries. The 100% export scheme provides better economic feasibility than the 65% export scheme, with more optimal savings, ROI, and payback period. The best scenario is a rooftop solar power plant with a capacity of 12.0 kWp with a 100% export scheme, because it produces the highest technical and economic benefits.
Real-Time Classification of Coconut Oil Quality using Smartphone Imaging and Deep Learning I Putu Budi Astawa; Putu Sugiartawan; N. W. Sumartini Saraswati
Jurnal Krisnadana Vol 5 No 3 (2026): Jurnal Krisnadana May - July 2026
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/yntsh472

Abstract

Coconut oil quality assessment is important for ensuring product safety, commercial value, and consumer acceptance; however, conventional laboratory-based evaluation methods are often time-consuming, costly, and impractical for real-time applications. This study proposes a real-time coconut oil quality classification system using smartphone imaging integrated with a Convolutional Neural Network (CNN) model. A total of 60 coconut oil images were collected under controlled conditions and categorized into High Quality, Medium Quality, and Low Quality classes. The dataset underwent preprocessing stages including resizing, normalization, and augmentation before CNN training and evaluation. Experimental results showed that the proposed model achieved an accuracy of 93.33%, precision of 93.20%, recall of 92.80%, and F1-score of 93.00%, demonstrating reliable multi-class classification performance. In addition, the system achieved an average real-time prediction time of approximately 0.82 seconds per image on a smartphone device, indicating fast and efficient mobile-based implementation. The findings confirm that smartphone imaging combined with deep learning provides a portable, low-cost, non-destructive, and practical solution for intelligent coconut oil quality monitoring in food and agricultural applications.

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