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J-SAKTI (Jurnal Sains Komputer dan Informatika)
Published by Sekolah Tinggi Ilmu Komputer Tunas Bangsa
ISSN : 25489771     EISSN : 25497200     DOI : http://dx.doi.org/10.30645/j-sakti
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy
J-SAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa yang berfokus di bidang Manajemen Informatika. Pengiriman artikel tidak dipungut biaya, kemudian artikel yang diterima akan diterbitkan secara online dan dapat diakses secara gratis. Topik dari J-SAKTI adalah sebagai berikut (namun tidak terbatas pada topik berikut) : Artificial Intelegence, Digital Signal Processing, Human Computer Interaction, IT Governance, Networking Technology, Optical Communication Technology, New Media Technology, Information Search Engine, Multimedia, Computer Vision, Information System, Business Intelligence, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Computer Network Security, Natural Language Processing, Business Process, Cognitive Systems, Software Engineering, Programming Methodology and Paradigm, Data Engineering, Information Management, Knowledge Based Management System, Game Technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 499 Documents
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Pengujian Dan Penerapan Manajemen Kas RW Dengan Metode Black Box Hardianto, H; Hardianti, Fazrin Putri; Irawan, Reza Riyaldi; Harits, Dalhats Abiyyu Idzal; Turmudi, Ahmad
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.774

Abstract

Software testing is an important part of application development to ensure its quality and reliability. The study uses the Black Box method to perform partitioning equivalence testing on RW cash management applications. The aim of this study is to find errors and bugs in the application so that they can be fixed before used by the user. Test results show that applications that meet the specifications in the expected output table do not experience error gaps.
Pengelompokan Pemenang Tender dengan Metode K-Means Clustering (Kasus Layanan Pengadaan Secara Elektronik Bagian Pengadaan Barang/Jasa Kabupaten Semarang) Utama, Deffa Ferdian Alif; Purnomo, Hindriyanto Dwi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.765

Abstract

Electronic Procurement Services (LPSE) is a work unit formed specifically to serve the Goods/Services Procurement Work Unit (UKPBJ), responsible for carrying out the procurement process electronically. currently, the method of selecting providers has become e-regular tendering which is all done online, the evolution of electronic tendering systems has grown rapidly along with advances in information technology. This research uses the data of tender winners that have been done Data Mining before from LPSE Semarang Regency, from 2011 to 2022 with the population of completed tenders, which aims to group the data of tender winners to find out what procurements have been completed and the role of local entrepreneurs / companies. total of 2127, using only 238 random data samples referring to the method of Isaac and Michael. using the method of Machine Learning, namely the Unsupervised Learning method processed with the K-Means Clustering Algorithm, the results obtained are the Construction of Public Facilities in the form of types of Construction Work, such as roads, tourist attractions, facilities for villages and others both made new, upgrades and others. then comes from the Semarang Regency area by showing 8 out of 13 or two-thirds with a percentage of 62%. This information is useful as an overview, education, information, knowledge for all of us in the Semarang Regency area and all the people of Indonesia as well as helping the economic development of the region and all other regional areas to the National.
Implementasi Sistem Enterprise (ERP) Dalam Perencanaan Produksi Pada Arkem Coffee Cirebon Menggunakan Pendekatan Social Commerce Luis, Michael Fernando; Tanaamah, Andeka Rocky; Tanaem, Penidas Fiodinggo
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.779

Abstract

Arkem Coffee Cirebon is an MSME coffee shop located on Jalan Arya Kemuning, Kesambi District, Cirebon City. The sales process for Arkem Coffee Cirebon is carried out conventionally/offline. The problem of the unavailability of the online sales process requires an information system to overcome this problem, namely by using ERP implementation through social commerce. The ERP implementation method uses a social commerce approach, which is a system created using data and procedures to provide products and services through social media applications. This method was chosen because the owner experienced obstacles in developing products and services. This method was deemed able to overcome these obstacles because he saw that the development of sales through online media was accelerating rapidly and could be easily operated by the coffee shop. This research method uses descriptive research methods, interviews and observations. Designing an overview of online business processes is carried out using the business process re-engineering method. Through the implementation of this information system and design, Arkem Coffee Cirebon can implement online business processes in its business.
Pengujian Dan Penjaminan Kualitas Software Point Of Sale Penjualan Motor PT. XZY Dengan Metode Black Box Simanjuntak, Antonius; Wijaya, Kurnia Difa; Permatasari, Antini; Astuti, Asri Liya; Zy, Ahmad Turmudi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.770

Abstract

The sale of motorcycles at PT.XYZ requires a reliable and high-quality Point of Sale (POS) system to enhance efficiency and customer satisfaction. This research aims to conduct testing and quality assurance of POS software using the Black Box method. This method focuses on testing external functionality without considering the internal system implementation. In this research, testing steps involve identifying the core functionalities of the POS, creating test cases, conducting tests, and analyzing results. Quality assurance will be implemented to ensure that the software meets the specified functional and non-functional requirements
Pemanfaatan Artificial Neural Network Terhadap Klasifikasi Penyakit Tanaman Padi Menggunakan Citra Daun Sunandar, Nandi; Sutopo, Joko
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.761

Abstract

Rice is a type of plant that is very essential for humans. Rice is used as a staple food by a large portion of people, especially in Asia. Therefore, proper care and management of rice plants are crucial to maximize crop yields and meet the food needs in Indonesia, particularly for the staple diet. One of the common factors that hinder rice production is diseases that affect rice plants. If left untreated, it can have a detrimental impact on the much-needed rice production in Indonesia. Some common rice diseases include Bacterial Leaf Blight, Brown Spot, and Leaf Smut. Hence, early detection is required as a preventive measure against these diseases. One way to address this issue is by applying artificial intelligence, where AI can play a significant role in disease identification in rice plants. This allows farmers to take clear actions in disease management. Identification is performed using leaf images and an Artificial Neural Network (ANN) algorithm with an accuracy of 83%.
Forecasting Climate Change Impacts Using Machine Learning and Deep Learning: A Comparative Analysis Airlangga, Gregorius
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.784

Abstract

This study undertakes a comparative analysis of machine learning and deep learning models for forecasting the impacts of climate change, utilizing Cross-Validation Root Mean Squared Error (CV RMSE) to gauge performance. Analyzed models include Long Short-Term Memory (LSTM) networks (CV RMSE: 0.155), Linear Regression (CV RMSE: 5647815244.91), Random Forest (CV RMSE: 0.159), Gradient Boosting Machine (GBM) (CV RMSE: 0.164), Support Vector Regressor (SVR) (CV RMSE: 0.159), Decision Tree Regressor (CV RMSE: 0.199), and K-Nearest Neighbors (KNN) Regressor (CV RMSE: 0.166). The study rigorously processes climate change time series data to ensure accurate, generalizable results. LSTM networks demonstrated exceptional performance, indicating their strong capacity for modeling complex temporal sequences inherent in climate data, while Linear Regression lagged significantly behind, revealing limitations in addressing non-linear patterns of climate change. The promising results of Random Forest and SVR models suggest their applicability in environmental science forecasting tasks. Our findings offer valuable insights into the efficacy of various predictive models, aiding researchers and policymakers in leveraging advanced analytics for climate change mitigation strategies
Risk Assessment Keamanan Informasi dengan Menggunakan ISO/IEC 27001: Studi Kasus PT Dyandra Promosindo Putra, Mahansa; Aji, Rizal Fathoni
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.775

Abstract

PT Dyandra Promosindo is a company that operates in the event organizer sector, when carrying out their daily business processes they will always be in contact with important information from their clients. Therefore, it is necessary to carry out a risk assessment to avoid loss of confidentiality, integrity and availability of an information asset. The author wants to know how big the risk impact that threatens the security of information assets and provide control recommendations over these assets. The risk assessment process can be divided into three stages, namely, risk identification through interviews and document review, risk analysis using asset valuation and vulnerability and threat ratings, and finally risk evaluation using risk impact measurements. The results of this research showed that 10 critical information assets were identified and only 1 was in the Tolerable risk mitigation group where the other assets were in the Acceptable group. Recommendations for controls for PT Dyandra Promosindo information assets risk based on Annex A ISO/IEC 27001:2022 show 15 controls consisting of 4 Organizational control, 5 People control, 1 Physical control, and 5 Technological control
Pemanfaatan Media Pembelajaran Interaktif Marvel Untuk Meningkatkan Minat Belajar Siswa SMA YPK Tabernakel Nabire Papua Tengah Lalihatu, Marsya; Setiyanti, Angela Atik
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.766

Abstract

The application of interactive media and the use of technology in supporting learning activities in schools is very important, but based on the initial interview with the Head of High School, YPK Tabernakel Nabire Central Papua, through the telephone in WA, the application of interactive learning media has not been thoroughly done. There are some obstacles, such as insufficient facilities, and not all teachers implement interactive learning media, resulting in a lack of interest among students in following the learning process. Based on this, the study aims to look at the use of Marvel as an interactive learning media to increase the interest of students in high school at YPK Tabernakel Nabire Central Papua, especially in class X MIA I. The research uses qualitative methods and purposive sampling techniques. The collected data will then be analyzed using one of the data analysis techniques of the Creswell Model. Based on the results of the observations and interviews, it is concluded that the interactive media of Marvel can increase the student's interest in learning, as seen from the indicators of the observation results and the source's answers during the interview.
Business Process Reengineering Sistem Laporan Harian Kru Jalan Pada PO.Pelita Mas Rohman, Moh. Ainur Bahtiar; Suharso, Wildan; Wahyuni, Evi Dwi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.780

Abstract

Every company that has employees who sare not gathered in one place must want speed and efficiency for good information exchange. To elevate quality of company management, it is essential to understand the shortcomings of the employees management. Pelita Mas Otobus Company is a bus company based in Malang City, East Java, which conducts its management system still running conventionally. This has shortcomings in terms of efficiency and accuracy of data on information exchange between employees. From the existing issue, it is important to redesign the business processes at Pelita Mas Bus Company by applying BPR (Business Process Reengineering). BPR is a strategy aimed at redesigning deficient business processes to improve their efficiency. The research begins with data collection, involving observations, process identification, case studies, interviews with Pelita Mas Bus Company, and relevant literature review. Mapping a business process using the ASME (American Society of Mechanical Engineers) standard process map. Utilizing the ASME standard process map, the business process performance is assessed through the throughput efficiency test. Subsequently, the focus shifts towards enhancing and refining the business process redesign to make it more efficient. The ultimate outcome of this study is the redesign of the business process
Klasterisasi Data Obat dengan Algoritma K-Means (Kasus pada UPTD Puskesmas Curug) kastiawan, Nurhayadi; Huda, Baenil; Novalia, Elfina; Nurapriani, Fitria
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.771

Abstract

Managing drug supplies is very important because it minimizes drug losses in institutions such as health centers, pharmacies and hospitals, so that drugs of any type are in accordance with the quantity needed. The research aims at grouped drug data, where this case study was carried out at the Curug Health Center UPTD which will be used as a guide in submitting a drug import plan at this health center. The data processed in this research is the 2022 annual report, drug needs plan and proposed drug needs (RKO 2023) at the Curug Health Center UPTD. The data in this research was processed by the K-Means algorithm with the rapidminer tool, where this technique data is grouped by collecting data into clusters. The results obtained were that Cluster 0 was a very low cluster which contained 14 drug items, then Cluster 1 with 12 drug items was a low cluster, Cluster 3 with 2 drug items was a high cluster and Cluster 2 was the highest cluster with 2 items drug.

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