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Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Published by Asosiasi Riset Teknik Elektro Dan Informatika Indonesia
ISSN : 30318998     EISSN : 3031898X     DOI : 10.61132
Core Subject : Science,
Computer Science & IT
hasil-hasil penelitian di bidang Ilmu Komputer Dan Teknologi Informasi. Neptunus : Jurnal Ilmu Komputer Dan Teknologi Informasi berkomitmen untuk memuat artikel berbahasa Indonesia yang berkualitas dan dapat menjadi rujukan utama para peneliti dalam bidang Ilmu Komputer Dan Teknologi Informasi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 184 Documents
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Literature Review: Data Management, Data Analytics, and Business Intelligence for Organization Eka Novalia Pusparini; Agussalim Agussalim
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 4 (2024): November: 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.v1i4.429

Abstract

This study was conducted to examine the functions of data management, data analytics, and business intelligence across various organizational sectors. A literature review was performed to gain a broader understanding of the topic, utilizing research backgrounds from different countries, with ten studies selected for review from multiple sources. The results indicate that efficient data management, combined with robust analytical capabilities and business intelligence tools, is crucial for modern organizations seeking to achieve operational excellence and strategic growth. By implementing the appropriate measures, organizations can maximize the benefits of data management, data analytics, and business intelligence in attaining their strategic objectives.
Literatur Review: Bisnis di Era Digital dan Dampak Disruptif TI pada Perusahaan Kirani Salsabila; Agussalim Agussalim
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 4 (2024): November: 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.v2i4.430

Abstract

This article aims to explore the dynamics of business in the digital era and the disruptive impact of information technology on companies. Through literature analysis, this study identifies technologies such as AI and big data that are used to improve efficiency and innovation. The results show that the integration of information technology in business models improves productivity and customer experience. This article emphasizes the importance of developing skills and organizational culture that support innovation as the key to facing disruptive challenges. This article provides valuable insights for companies in formulating adaptation strategies amidst global business changes.
Literature Review: Networks, Collaborative Technology and the Internet of Things Impact on Business Devi Savira Sanurya; Agussalim Agussalim
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 4 (2024): November: 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.v2i4.431

Abstract

A network is a collection of interconnected devices that aim to share data and resources. With the development of science and various technological collaborations in this digital era, it brings many benefits and real changes to all aspects of life. Work that used to be done by humans has now been gradually replaced by sophisticated technology and adequate internet, resulting in the difficulty of getting a job and increasing unemployment rates. This literature review aims to analyze and classify the networks, collaborative technology and the internet of things impact on business. The development of technology and digitalization can never be avoided, but we can live side by side by using it wisely and utilizing it well.
Penerapan Jaringan Syaraf Tiruan untuk Pengenalan Pola Huruf Menggunakan Metode Bidirectional Associative Memory (BAM) Warda Hamidah; Lailan Sofinah Harahap
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 4 (2024): November: 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.v1i4.433

Abstract

The process in artificial intelligence is similar to the process that occurs in the human brain. The pattern recognition process is to determine whether the input and output values ​​are the same so that the system can detect the pattern. A reciprocal relationship between the input and output levels is made possible by the two interconnected layers of the Bidirectional Associative Memory (BAM) technique. As a result, this technique can serve as an associative memory, meaning that some of the data stored in it can be called upon.. The load signal is transmitted from the input layer X to the output layer Y in this procedure. The weight value will be modified by computing the outcomes between the ranks [1,0]. In this work, the active sigmoid function is employed. Three input characters—the letters S, O, and X—are used in this study's 5x5 order matrix. A pattern [27 4] that matches the target is produced by the target letter S [1,-1], a pattern [27 -3] that does not match the target is produced by the target letter O [1.1], and a pattern [-37 21] that matches the target is produced by the target letter X [-1,1]. Consequently, not all patterns are able to meet the established objectives.
Penerapan Metode Scrum untuk Sistem Informasi Arsip Surat di Kantor Kecamatan Umbu Ratu Nggay Barat Serlince Nono; Adelbertus Umbu Janga; Lidia Lali Momo
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 4 (2024): November: 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.v2i4.434

Abstract

The implementation of an effective and efficient information system is very important in managing letter archives in government offices. This study aims to design and implement a letter archive information system using the Scrum method at the Umbu Ratu Nggay Barat District Office. Scrum was chosen as a software development framework because of its adaptive and iterative nature, allowing the team to accommodate changing needs quickly. Through this approach, system development is carried out in several sprints, which ensures that the development process runs in a structured manner with a clear division of tasks. The results of this study indicate that the implementation of the Scrum method can increase efficiency in the letter archive management process and accelerate the response to changes in system needs. With this letter archive information system, the sub-district office can manage letter documents in a more organized, easily accessible, and secure manner. This study is expected to be the basis for further development to improve the quality of administrative services in government institutions.
Analisis Kepuasan Mahasiswa STMIK Widuri terhadap Pelayanan Bagian Keuangan Menggunakan Metode Service Quality (SERVQUAL) Serlianti Waruwu; Nur Nawaningtyas
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 4 (2024): November: 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.v2i4.439

Abstract

This study aims to analyze student satisfaction with the administrative services of the Finance Department at STMIK Widuri, utilizing the SERVQUAL method. Effective administrative services are crucial for supporting the quality of higher education and the institution's reputation. Through a questionnaire designed based on the five dimensions of SERVQUAL reliability, responsiveness, assurance, empathy, and tangible evidence data were collected from active students. The analysis results are expected to identify areas for improvement in financial services and provide concrete recommendations to enhance service quality. This research aims to offer insights for decision-makers at STMIK Widuri to improve the efficiency and effectiveness of financial services while meeting student needs. Additionally, the findings are anticipated to enhance STMIK Widuri's image as a responsive institution towards student requirements. The study also emphasizes the importance of understanding student expectations in efforts to improve service quality in higher education.
Identifikasi Serangan DDOS Pada Jaringan Komputer Menggunakan Algoritma Artificial Neural Network Kelik Sussolaikah; Pitrasacha Adytia; Wahyuni Wahyuni; Lisda Aulia Rahmi
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 1 No. 1 (2023): Februari: 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.v1i1.67

Abstract

DDOS (Distribute Denial of Service) is a type of structured attack. This attack has been around since 1990. DDoS attacks are capable of paralyzing servers by flooding network traffic and causing it to go down. To overcome this problem, the way to detect DDoS attacks has several methods and algorithms, one of which is the Artificial Neural Network algorithm and uses the Machine learning method due to the fast computing process, high accuracy, and this research uses the SKKNI research method Number 299 of 2020. The analysis was carried out uses training data from the latest dataset, namely CICIDS2017, which is a development of a previously existing dataset. DDoS attack detection testing using the confusion matrix method obtained bot precision of 0.99, recall of 0.99, and f1score of 0.99, 3
Analisa Tingkat Kepuasan Pelayanan pada Aplikasi PLN Mobile dengan Metode Service Quality Nu’man Nashif Annawwaf; Nur Nawaningtyas Pusparini
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 4 (2024): November: 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.v2i4.453

Abstract

This study aims to analyze user satisfaction with the PLN Mobile application using the Service Quality (SERVQUAL) method. PLN Mobile is a digital innovation from PLN, offering services such as electricity payment, token purchase, and e-commerce for electrical equipment. The SERVQUAL method assesses the gap between customers' expectations and perceptions across five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. Data collection involved questionnaires focusing on users' perceptions and expectations, complemented by direct observations of user interactions with the application. The findings reveal negative gaps across all Service Quality dimensions, indicating that customer perceptions fell short of their expectations. The largest gap was identified in the assurance dimension (-23.2), followed by responsiveness (-16.88). The tangibles dimension also showed significant shortcomings (-8.48), mainly concerning the application's interface and functionality. While the application performed relatively well in terms of reliability and responsiveness, substantial improvements are needed across all dimensions to enhance user satisfaction. These results offer strategic insights for improving PLN Mobile to become more responsive, reliable, and aligned with user needs in the future.
Perencanaan Strategis Sistem Informasi pada Web Perpustakaan Amikom Purwokerto Fadilah Musafiroh; El Syafangatun Aulia Difa; Iis Sahita; Farah Setyaningsih
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 4 (2024): November: 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.v2i4.460

Abstract

The rapid development of information technology has encouraged various organizations, including educational institutions, to utilize technology to support their operational activities. One form of information technology utilization in the academic field is the implementation of a web-based library information system. The Amikom Purwokerto library website faces several challenges in its use. One of the main problems encountered is the low level of user access, which is due to the users' limited understanding of the library website's usefulness and a lack of effective information regarding the available features. This situation creates a gap between user needs and the services provided, preventing the library from delivering optimal service. Therefore, strategic information system planning is needed by using the Ward and Peppard method and conducting an analysis using SWOT and Value Chain.
Penerapan Algoritma Backpropagation dalam Memprediksi Kemenangan dalam Bermain Mobile Legends Rifdah Syahputri; Alwi Andika Panggabean; Lailan Sofinah Harahap
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 4 (2024): November: 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.v2i4.470

Abstract

Victory in Mobile Legends is influenced by various factors, such as player skills, strategy, and character selection. To predict game outcomes, the backpropagation algorithm is applied to process historical gameplay data and create an accurate predictive model. This study aims to apply the backpropagation algorithm to predict victory based on player attributes, including team role, experience level, and past performance. The research method involves training and testing the model using data from multiple gameplay sessions with varied outcomes. Findings show that the backpropagation algorithm can predict game results with high accuracy, especially when the data includes a more comprehensive range of attributes. The implications of this study suggest that a backpropagation-based predictive model can help players understand their chances of winning and optimize their gameplay strategies. Furthermore, future developments in this algorithm could provide benefits for similar applications in other digital gaming fields.

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