Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen
Jurnal Saintekom adalah singkatan dari Sains, Teknologi, Komputer dan Manajemen, merupakan jurnal ilmiah yang berfungsi sebagai media mengkomunikasikan ide, gagasan dan pemikiran seputar kajian aktual tentang sains, teknologi, komputer dan manajemen antarkademisi dan peneliti.
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161 Documents
<![CDATA[Sistem Smart Trash Pemilah Sampah Organik dan Anorganik Berbasis Internet of Things ]]>
<![CDATA[Ismail, Ismail]]>;
<![CDATA[Nusri, Andi Zulkifli]]>;
<![CDATA[Rahman, Syariful]]>
<![CDATA[ Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 13 No 2 (2023): September 2023 ]]>
Publisher : <![CDATA[STMIK Palangkaraya ]]>
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DOI: 10.33020/saintekom.v13i2.487
<![CDATA[Traditional trash bins have an impact on the accumulation of waste and the mixing of organic and inorganic waste so that it can damage the environment. This research aims to make it easier to sort organic and inorganic organic waste with three stages, namely Hardware design, program creation, and tool testing. Arduino microcontroller, Node MCU ESP8266. The ultrasonic sensor reads the presence of object in front of the sensor then servo opens the trash can lid, and the garbage is put in the trash can. The capacitive proximity sensor reads the type of garbage if the garbage is organic the servo will rotate 900 to the left and vice versa if the garbage is inorganic type the servo will rotate 1800 to the right. The smart trash system is equipped with a sensor monitoring the contents of the trash can, if the trash can is full, system sends a message to the officer. The system development method uses the SDLC method and the tool testing method uses the Black Box method. Based on the results of system testing with five trials, the average accuracy value is 96%. The contribution of this research provides new innovations in managing waste automatically.]]>
<![CDATA[Analisis Pengelolaan Konferensi Nasional Pendekatan Business Process Management Menggunakan Value-Added Analysis dan Root-Cause Analysis ]]>
<![CDATA[Salsabilah, Zafira]]>;
<![CDATA[Budi Susanto, Agung]]>;
<![CDATA[Taryo, Taswanda]]>
<![CDATA[ Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 13 No 2 (2023): September 2023 ]]>
Publisher : <![CDATA[STMIK Palangkaraya ]]>
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DOI: 10.33020/saintekom.v13i2.494
<![CDATA[Conference management is one of the core business processes at the Research and Community Service Institute (LPPM) and it is conducted by online. The problem is the lack of a business process model for conference management, hence the committee had not a clear understanding of its activities. Furthermore, there has been no evaluation of the business processes, leading to unidentified weaknesses in the activities. The purpose of this research is to map and summarize the business processes using Business Process Management (BPM). BPM proves to be suitable for achieving the research objectives as it focuses on process approaches and provides tools and techniques to enhance the quality of conference management. The analysis employs qualitative process analysis with Value-Added Analysis and Root-Cause Analysis using the Why-Why Diagram approach to identify the root causes of issues and propose improvement measures for each business process. The research methodology used is qualitative with data collection technique involving interview, observation, and literature studies. The business process modeling adopts the Business Process Modelling Notation (BPMN). The research outcome presented a to-be process model that illustrated the recommended conference management business process which consisting of 7 main business processes, 27 sub-processes, 21 activities, and 200 tasks.]]>
<![CDATA[Game Edukasi Pengenalan Hewan Endemik Pulau Kalimantan Berbasis Android Menggunakan Construct 2 ]]>
<![CDATA[Irwan, Gt]]>;
<![CDATA[Rusdiana, Lili]]>
<![CDATA[ Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 2 (2024): September 2024 ]]>
Publisher : <![CDATA[STMIK Palangkaraya ]]>
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DOI: 10.33020/saintekom.v14i2.409
<![CDATA[The purpose of this research is to make an Android-based educational game to introduce endemic animals to the island of Borneo using Construct 2, the results of which can be useful for the community to increase knowledge about endemic animals on the island of Borneo. This educational game has a game of arranging animal name letters and multiple choice questions which are expected to hone the user's memory of endemic animals on the island of Borneo. The method used in this research is the Multimedia Development Life Cycle (MDLC) method are concept, design, material collecting, assembly, testing, and distribution. In this study, Black Box Testing was carried out and the result was that the game system ran well and its functionality could work smoothly. Based on the results of the questionnaire which was filled in by 30 respondents, the Endemic Animals of Kalimantan game was in the interval of strongly agreeing with the questionnaire and application category with a percentage of 85.42%, which means that the Endemic Animals of Kalimantan game is in demand by the public.]]>
<![CDATA[Analisis User Experience pada Pengguna Aplikasi Dompet Digital Menggunakan Teori Jacob Nielsen ]]>
<![CDATA[Achyani, Yuni Eka]]>;
<![CDATA[Kezia Widyana]]>
<![CDATA[ Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 1 (2024): Maret 2024 ]]>
Publisher : <![CDATA[STMIK Palangkaraya ]]>
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DOI: 10.33020/saintekom.v14i1.486
<![CDATA[Digital wallets are one of the fastest-growing types of fintech. Digital wallets are just like real wallets. Users can make transactions either online or offline to be more effective and efficient. It is important for the development team to pay attention to the comfort and satisfaction of its users. The purpose of writing, to find out the rate obtained by each application and will be tested using the usability testing method. This is done to evaluate the usability of digital wallet applications based on the responses given by users after interacting with the product system. The research was conducted in the DKI Jakarta area using 3 digital wallets and involving 150 digital wallet respondents, including: 51 Shopee pay Respondents, 52 Go-pay Respondents and 47 DANA Respondents. The results of the tests that have been carried out, it can be concluded that the Shopee-pay Digital Wallet is in the Very Good category with a score of 4.35, the Go-pay and DANA applications are in the good category with the Go-Pay application score of 3.98 and DANA 4.16. This shows that the three applications have fulfilled the five aspects of usability testing: learnability, memorability, efficiency, errors and satisfaction.]]>
<![CDATA[Implementasi Aplikasi Laporjalanku untuk Pemetaan dan Pelaporan Jalan Rusak di Wilayah Kota Tarakan ]]>
<![CDATA[Wardani, Ade]]>;
<![CDATA[Rosyda, Miftahurrahma]]>
<![CDATA[ Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 1 (2024): Maret 2024 ]]>
Publisher : <![CDATA[STMIK Palangkaraya ]]>
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DOI: 10.33020/saintekom.v14i1.489
<![CDATA[Tarakan City has road facilities with various degrees of damage, ranging from minor to severe conditions. To address this issue, a WebGIS application is required to provide information about the road conditions. This research aims to develop the "Laporjalanku" application, designed to assist the public in reporting road damage in Tarakan City and mapping information about damaged roads. The application enables the public to easily report complaints via the web or their Android smartphones. Its features include information such as images of damaged roads, the location of damage, and estimated repair times. The development methodology used is the waterfall model, ensuring a systematic and sequential system development process. Black-box testing showed that the system functions well. Meanwhile, the System Usability Scale (SUS) test resulted in a score of 84.5%, categorized as good, and meeting user experience requirements. This application streamlines the road mapping and reporting process, providing accurate information to the Department of Public Works. Additionally, it serves as a vital tool for the government and the public to improve collaboration in maintaining the city's road conditions.]]>
<![CDATA[Model Klasifikasi Machine Learning untuk Prediksi Ketepatan Penempatan Karir ]]>
<![CDATA[Mahmud Nawawi, Hendri]]>;
<![CDATA[Baitul Hikmah, Agung]]>;
<![CDATA[Mustopa, Ali]]>;
<![CDATA[Wijaya, Ganda]]>
<![CDATA[ Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 1 (2024): Maret 2024 ]]>
Publisher : <![CDATA[STMIK Palangkaraya ]]>
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DOI: 10.33020/saintekom.v14i1.512
<![CDATA[The complexity of the job market requires individuals and organizations to understand the trends and needs of the world of work. One of the main challenges is the right career placement. That is becoming increasingly popular is the use of Machine Learning algorithms in the decision-making process. ML classification models such as Random Forest, Decision Tree, Naïve Bayes, KNN, and SVM have demonstrated their potential in uncovering hidden patterns from data, including a person's educational history, work experience and interests. In this research, the application of the ML classification model is aimed at predicting career placement. From the data sample used of 215, this research evaluates the effectiveness of various ML models in the context of career placement. As a result, the Random Forest Model is superior to other proposed models with an accuracy value of 87% and an AUC/ROC value of 0.93 which indicates a very good classification value. Meanwhile, the SVM model with Linear Kernel shows the lowest performance with an accuracy value of 67%. Apart from getting information on the best accuracy and AUC/ROC values, the results of this research found that the 'ssc_presentage' attribute (high school exam percentage) is an important factor in career placement decisions.]]>
<![CDATA[Analisis Opini Terhadap Aplikasi Riliv di Twitter Menggunakan Algoritma Naïve Bayes dan Random Forest ]]>
<![CDATA[Nurfitriana, Diana]]>;
<![CDATA[Ridwan, Taufik]]>;
<![CDATA[Voutama, Apriade]]>
<![CDATA[ Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 1 (2024): Maret 2024 ]]>
Publisher : <![CDATA[STMIK Palangkaraya ]]>
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DOI: 10.33020/saintekom.v14i1.526
<![CDATA[In the current era of technological advancement and the internet, people can easily access various information. This technological advancement brings innovation in the mental health field, such as services in the form of apps. This research conducts sentiment analysis using the Naïve Bayes and Random Forest algorithms. The study aims to analyze Twitter users’ opinions regarding the Riliv apps and compare the results of classification using Naïve Bayes and Random Forest. This research methodology uses the AI Project Cycle method. The data used is tweet data from Twitter with the keyword 'aplikasi riliv’. The dataset consisted of 1035 data, which was processed to produce 273 positive, 273 neutral, and 39 negative sentiments data. The Naïve Bayes and Random Forest algorithms were applied to compare the classification results of the two. The most optimal classification results are Naïve Bayes with SMOTE with the division of 90% training data and 10% testing data, which results in an accuracy value of 82.72%, a value of precision is 82.89% and a value of recall is 82.72%. Based on the results of the distribution of sentiment data, most users gave positive reviews and were knowledgeable about the Riliv application, while only a few were disappointed]]>
<![CDATA[Penerapan Algoritma K-Means untuk Klasterisasi Produksi Budidaya Perikanan Provinsi Sulawesi Utara ]]>
<![CDATA[Sakur, Stendy Budi Hartono]]>;
<![CDATA[Silangen, Miske]]>;
<![CDATA[Tuwohingide, Desmin]]>
<![CDATA[ Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 1 (2024): Maret 2024 ]]>
Publisher : <![CDATA[STMIK Palangkaraya ]]>
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DOI: 10.33020/saintekom.v14i1.528
<![CDATA[Capture fisheries production is decreasing due to natural resources or weather conditions, so other resources are needed to support fisheries production. One alternative is to increase the production of aquaculture commodities through seawater, freshwater, or brackish water cultivation. Various potentials for developing aquaculture have been developed in various regions, including the North Sulawesi region. Grouping aquaculture commodity production according to container type is very important to maintain and increase aquaculture production. This research aims to cluster aquaculture production in the North Sulawesi area using the K-Means method using Euclidean, Manhattan, and Minkowsky distances. The results of the research obtained three clusters, namely the first cluster, the region with the highest production of pond container types, namely the Sitaro Islands, and for second cluster consisting of 13 regions that have variations in production ranging from low to high for the types of floating net containers and ponds, while third cluster is the region Bitung with moderate production for pond types. It is hoped that this research can help related agencies to create policies to increase the production potential of aquaculture.]]>
<![CDATA[Klasifikasi Sentimen Terhadap Kualitas Aplikasi Bahan Ajar Digital Akademik Universitas Terbuka di Google Play ]]>
<![CDATA[Fatmasari, Rhini]]>;
<![CDATA[Gata, Windu]]>;
<![CDATA[Kusuma Wardhani, Nia]]>;
<![CDATA[Prayogi, Kurnia]]>;
<![CDATA[Binti Husna, Modesta]]>
<![CDATA[ Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 1 (2024): Maret 2024 ]]>
Publisher : <![CDATA[STMIK Palangkaraya ]]>
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DOI: 10.33020/saintekom.v14i1.591
<![CDATA[Terbuka University is a leading institution that implements the optimization of digital transformation, especially in distance learning systems. To improve the quality of service to students and stakeholders, Terbuka University has developed the Terbuka University Digital Learning Materials application. This application offers several learning modules that can be accessed through the Google Play Store. This research aims to classify data using different labels related to reviews of the Terbuka University Digital Learning Materials application using the Long Short-Term Memory classification algorithm. Evaluation is conducted to find accuracy, f1-score, precision, and recall values. The research results show that classification with Long Short-Term Memory achieves an accuracy of 76.72% with the Vader label, and the accuracy with the TextBlob label reaches 74.21%. Confusion matrix evaluation shows precision results of 0.91 and recall of 0.78, with an f1-score of 0.84 for the Vader label. For the TextBlob label, the precision is 0.96, recall is 0.45, and the f1-score is 0.61. This research contributes positively to understanding the evaluation and classification of reviews of the Terbuka University Digital Learning application. Implementing the Long Short-Term Memory algorithm with the Vader label can be an effective choice to improve service and learning quality through the application.]]>
<![CDATA[Penerapan Web Service dalam Mengintegrasikan IoT dengan Platform Investasi Berbasis Website dan Mobile Android ]]>
<![CDATA[Amrulloh, Arif]]>;
<![CDATA[Saputra, Wahyu Andi]]>;
<![CDATA[Arini, Ratih Windu]]>;
<![CDATA[Pane, Sayyid Yakan Khomsi]]>
<![CDATA[ Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 14 No 2 (2024): September 2024 ]]>
Publisher : <![CDATA[STMIK Palangkaraya ]]>
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DOI: 10.33020/saintekom.v14i2.595
<![CDATA[The industrial revolution 4.0 which is occurring rapidly has resulted in changes in various fields, IoT is a technology that is currently widely used to automate processes in everyday life. In this research, IoT was used to monitor the development of goat livestock in Dermaji village. The problem with IoT development is that when you want to display data or results obtained, IoT does not work well if the information displayed is less interactive and difficult for end users to understand, so a solution needs to be created to display the results obtained by developing website and mobile-based applications. The aim of this research is to integrate an IoT platform with Android mobile-based websites and applications by implementing a RESTful web service API. Web and mobile application development uses the RAD method which consists of several stages, namely the design stage of system requirements, system design and implementation into a programming language. In integrating IoT with websites and mobile, RESTful web service technology is applied. The result of this research is an IoT platform that is integrated with website and Android mobile based applications.]]>
