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All Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Abdimasku : Jurnal Pengabdian Masyarakat International Journal of Social Science Journal of Advances in Information Systems and Technology MERDEKA: Jurnal Ilmiah Multidisiplin Journal of Advances in Information Systems and Technology
Endang Sugiharti
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Public Health Social Sciences Other

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Penerapan Dizcretization dan Teknik Bagging Untuk Meningkatkan Akurasi Klasifikasi Berbasis Ensemble pada Algoritma C4.5 dalam Mendiagnosa Diabetes Mirqotussa’adah Mirqotussa’adah; Much Aziz Muslim; Endang Sugiharti; Budi Prasetiyo; Siti Alimah
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 8, No. 2 Agustus 2017
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (470.406 KB) | DOI: 10.24843/LKJITI.2017.v08.i02.p07

Abstract

In the field of health, data mining can be used to predict a disease from patient medical record data, diabetes. There are several data mining models which one is classification. In the access field, there are many branches that are developing the decision tree (decision tree). One popular decision tree is C4.5. In this study, the data used were pima indian diabetes dataset taken from UCI machine learning repository. In this dataset all attributes are of continuous numeric type and for combined continuous data discretization is used. Accuracy is very important in the classification, ensemble method is a method used to improve the accuracy of classification algorithm by building some classifier of training data. From the research results, by applying discretization and bagging techniques to ensemble-based classification on C4.5 algorithm can increase the accuracy of 6.26%. With an initial accuracy of 68.61%, after applied discretization and bagging techniques to 74.87%..
Analysis of Application Success in XYZ Agency as an Online Learning Media Using the Delone and Mclean Models Erika Noor Dianti; Endang Sugiharti
Journal of Advances in Information Systems and Technology Vol 5 No 1 (2023): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v5i1.65794

Abstract

Internet users in Indonesia have shown a rapid increase. This indicates that the development of information and communication technology is growing, bringing many life changes, thus demanding the education industry to strive to improve the quality of education continuously. However, at the beginning of 2019, COVID-19 pandemic emerged, which required that all students not be allowed to do face-to-face learning. Because of this problem, companies are starting to create online learning technologies that have a positive impact. In 2022, XYZ application is a learning application ranked 9th among the most popular applications. Nevertheless, in its use, there are still obstacles. Based on this description, this study will analyze application's success using Delone and Mclean models to determine whether application has been considered successful. The research data was obtained by distributing questionnaires online with a total of 240 respondents who were users who had used e-learning in XYZ agency with an age range of 15 to 45 years. This study used quantitative methods and data processing using Smart PLS version 4 software to test inner and outer models. The results showed that success rate of e-learning in XYZ agency was very high, and out of twelve hypotheses, eight were accepted, and four were rejected. The factors that support success of e-learning in XYZ agency are seen from accepted hypotheses. At the same time, factors that hinder application's success are information quality, system quality, service quality, instructor quality, and user satisfaction. From these inhibiting factors, appropriate recommendations are then given. The results of this research are expected to be considered by e-learning in XYZ agency developers and providers
Pelatihan New Media pada Perangkat Desa Wadaslintang Wonosobo dalam Digitalisasi Promosi Wisata Abas Setiawan; Riza Arifudin; Endang Sugiharti; Novanka Agnes Sekartaji; Prisma Bayu Nugroho; Agus Subarkah
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 6, No 3 (2023): September 2023
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v6i3.1556

Abstract

Kecamatan Wadaslintang, Kabupaten Wonosobo, merupakan salah satu daerah di Jawa Tengah yang memiliki potensi wisata yang menjanjikan. Sayangnya potensi wisata tersebut kurang terpublikasi sehingga belum banyak masyarakat yang tahu. Kecamatan Wadaslintang membutuhkan peningkatan literasi digital terutama untuk digitalisasi dan promosi potensi wisata pada perangkat desa. Sebagai solusi untuk menjawab permasalahan tersebut, kami melakukan pelatihan penggunaan New Media khususnya Canva, CapCut, dan Instagram bagi perangkat desa. Ada lima tahapan utama pelatihan ini, yaitu pembekalan dan sosialisasi, paparan konsep new media, demonstrasi dan praktek pembuatan konten, distribusi, dan pendampingan. Kegiatan tersebut dilakukan di kantor Kecamatan Wadaslitang Kabupaten Wonosobo dengan 30 peserta perangkat desa. Perangkat desa dapat membuat konten gambar dengan Canva dan konten video dengan CapCut yang kemudian di bagikan pada sosial media Instagram. Perangkat desa cukup menggunakan smartphone masing-masing dalam melakukan kegiatan ini, sehingga mereka merasa antusias dan lebih leluasa dalam melakukan praktik. Sebagai evaluasi kegiatan ini, dilakukan pengujian pre-test dan post-test. Hasil evaluasi tersebut menunjukkan bahwa tingkat literasi dan komunikasi digital perangkat desa Kecamatan Wadaslintang meningkat seiring dengan pelatihan yang sebelumnya telah dipraktekkan. Pendampingan daring dilakukan sebagai tindak lanjut dari pelatihan sehingga perangkat desa bisa saling bertukar informasi dan berkolaborasi seusai pelatihan.
THE INFLUENCE OF WORK COMPETENCE AND INFRASTRUCTURE ON CUSTOMER SATISFACTION THROUGH SERVICE QUALITY AT THE SRI BINTAN PURA TANJUNGPINANG PORT PASSENGER TERMINAL Fajar Ardhi Gibran; Lira Agusinta; HM. Thamrin; Endang Sugiharti; Prasada Ricardianto
International Journal of Social Science Vol. 4 No. 4: December 2024
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/ijss.v4i4.9018

Abstract

This research aims to analyze the influence of variables, namely work competency, facilities and infrastructure on customer satisfaction through service quality at Sri Bintan Pura Tanjungpinang Port. The sample in this research was 500 passengers at the Sri Bintan Pura Port passanger Terminal Tanjungpinang. The data analysis method used in this research is Structural Equal Model Partial least Square. These technique will be used in data analysisand become an integral part of the overall data analysis in this research. Data analysis was carried out in three stages, namely the description stage, the analysis requirements testing stage, and the hypothesis testing stage. It can be concluded that Work Competence and Infrastructure have a positive and significant influence on Customer Satisfaction at Sri Bintan Pura Tanjungpinang Port, both directly and through the mediation of Service Quality. Work Competencies have a greater influence than Infrastructure on Customer Satisfaction. Service Quality plays an important role as a mediator, strengthening the influence of Work Competency and Infrastructure on Customer Satisfaction
AUTOMATISASI NAVGATE PADA SISTEM NOTAM PIA WILAYAH Metha Yurike Cartika; Elfi Amir; Endang Sugiharti; Rini Sadiatmi; Dini Wagini; Togi Adnan Maruli Sinaga; Novita Ayu Permatasari; Moch Faisal Muzaki; Muh Hasbullah
MERDEKA : Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2025): April
Publisher : PT PUBLIKASI INSPIRASI INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/merdeka.v2i4.4107

Abstract

In providing aeronautical information services, AIS needs a system that can be used to make PIA's work easier, one of which is Navgate. So it is important to pay attention to innovation in developing the Navgate system optimally in order to create a comfortable work environment for PIA to work. Innovation is needed in this feature so that it can avoid human error in work and make PIA's work easier in distributing NOTAMs. Developing the necessary features can influence the comfort of personnel work, so that it can make personnel work effective.
Acceptance of Artificial Intelligence-Based Online Shopping Applications: A Combination of Artificially Intelligent Device Use Acceptance and Online Shopping Service Quality Tiffany Ovilia Dwi Lestari; Endang Sugiharti
Journal of Advances in Information Systems and Technology Vol. 6 No. 1 (2024): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v6i1.2232

Abstract

Nowadays, e-commerce, including Shopee, is often associated with Artificial Intelligence (AI). The use of AI systems triggers the emergence of new marketing methods to reach consumers effectively and offer a better shopping experience. Moreover, the increased use of AI in online commerce occurs because AI is considered an excellent tool to meet rapidly changing consumer demands. Currently, more sellers are using AI-supported features such as chatbots, smart logistics, and personalized recommendations. This makes online channels more competitive and enticing for consumers to make purchases. Despite the numerous benefits of e-commerce and AI, they are not exempt from shortcomings that make customers reluctant to use them. Therefore, this research aims to understand the relationship among factors influencing the acceptance and objection of AI-based Shopee by using a combination of Artificially Intelligent Device Use Acceptance (AIDUA) and Online Shopping Service Quality (OSSQ). The study employs a quantitative method with survey data collection techniques. The collected sample from the survey process consists of 169 respondents, mostly females aged 17-26 years, and students. The results obtained find that factors significantly influencing performance expectancy are social influence, hedonic motivation, anthropomorphism, website design, responsiveness, communication, and trustworthiness. Factors affecting effort expectancy are social influence, reliability, communication, anthropomorphism, and website design. Meanwhile, the factor influencing emotion is performance expectancy. Lastly, the factors influencing willingness to use and objection to use are emotion. Based on the research findings, Shopee developers can enhance the quality of their AI programming algorithms and improve the design quality of Shopee.
Customer Lifetime Value Clustering Using K-Means Algorithm with Length Recency Frequency Monetary Model to Enhance Customer Relationship Management Chairun Nisak; Endang Sugiharti
Journal of Advances in Information Systems and Technology Vol. 6 No. 1 (2024): April
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v6i1.5011

Abstract

The current era of business growth is fraught with challenges and competition due to rapid technological advancements, rapid market growth, and globalization. This research discusses customer management strategies to enhance Customer Relationship Management (CRM) at PT Digibook Sarana Promosi Indonesia, a company in the digital printing industry. With the emergence of numerous competitors in this challenging business growth era, the k-means algorithm and Length, Recency, Frequency, Monetary (LRFM) model are employed for customer clustering. The results identify two main customer groups. The first group falls into the category of almost lost or uncertain lost customers with the symbol L↓R↑F↓M↓, exhibiting low Customer Lifetime Value (CLV), suggesting a "let go" strategy to focus on more valuable customers. The second group comprises high-value loyal customers with the symbol L↑R↓F↑M↑, demonstrating high CLV, recommending an "enforced" strategy to maintain customer loyalty through loyalty programs. This research indicates that the optimal number of clusters is 2, validated using the ClValid method, with the best values on connectivity, Dunn index, and silhouette.
Analysis of Factors Affecting The Sustainability of Using Online Loan Applications Using The Information System Success Model and Expectation Confirmation Model Kevin Tito Hutahaean; Endang Sugiharti
Journal of Advances in Information Systems and Technology Vol. 6 No. 2 (2024): October
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jaist.v6i2.12035

Abstract

The rapid digitization of financial services has spurred the growth of cashless lending systems, with online lending emerging as a prominent method for individuals and businesses to access funds. This trend is driven by the ease of loan application through online platforms and the challenges associated with traditional bank loans. However, online loans often come with higher interest rates compared to conventional banks, raising concerns about users' long-term engagement with these platforms. This study investigates the factors influencing the continuance intention of users in utilizing online loan applications. Employing a quantitative approach, the research integrates the Information System Success Model (ISSM) and the Expectation Confirmation Model (ECM) to examine 13 variables across 24 hypotheses. Data was collected via Google Forms, distributed through social media, targeting individuals aged 17 to 55 in Indonesia who had previously applied for online loans. After rigorous data screening, 227 valid responses were analyzed using SmartPLS. The findings revealed that out of the 13 variables, use, satisfaction, and debt attitudes significantly influence continuance intention, while other factors like perceived usefulness and impulsive buying were less impactful. Future studies should explore a broader respondent base and incorporate variables such as interest rates and urgency to provide a more comprehensive understanding of users' continued use of online loan applications.
PENTINGNYA PROSES VERIFIKASI KESESUAIAN DATA PADA VERIFIKASI DATA UNTUK PERMOHONAN NOTAM Muhammad Nabil Rahadinan; Elfi Amir; Endang Sugiharti; Rini Sadiatmi; Dini Wagini; Togi Adnan Maruli Sinaga; Novita Ayu Permatasari; Mochamad Faisal Muzaki
MERDEKA : Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2025): April
Publisher : PT PUBLIKASI INSPIRASI INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/merdeka.v2i4.4120

Abstract

NOTAM is a notice disseminated by telecommunication that contains information about the establishment, condition, or change of facilities, services, procedures, or flight hazards, which must be known in a timely manner by personnel related to flight operations. The research method used is a qualitative research method in which the researcher studies how the group works in actual conditions through observation and interviews.  This research examines the importance of understanding NOTAM requirements in order to minimize the risk of accidents and improve flight safety. Various factors can influence the NOTAM application process, including complex aviation regulations, weather changes, airport conditions, and navigation information. Ignoring or misinterpreting these regulations may result in errors in aircraft operation, especially in emergency situations.
ANALISIS PEMAHAMAN SUMBER DATA PADA ALUR PENGIRIMAN FORM REQUEST NOTAM DI PIA WILAYAH MEDAN Yolanda Wina Soendari Siahaan; Elfi Amir; Endang Sugiharti; Rini Sadiatmi; Dini Wagini; Novita Ayu Permatasari; Mochamad Faisal Muzaki; Yudha Pratidhina
MERDEKA : Jurnal Ilmiah Multidisiplin Vol. 2 No. 6 (2025): Agustus
Publisher : PT PUBLIKASI INSPIRASI INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/merdeka.v2i6.4948

Abstract

Komunikasi yang efektif dan tepat waktu sangat penting dalam dunia penerbangan untuk menjamin keselamatan dan kelancaran operasional, salah satunya melalui pemberitahuan NOTAM. Penelitian ini bertujuan untuk mengidentifikasi permasalahan dalam pengajuan form Request NOTAM. Metode yang digunakan dalam penelitian ini adalah kualitatif deskriptif, dengan mengumpulkan data melalui observasi untuk menganalisis prosedur yang dilakukan. Hasil penelitian menunjukkan bahwa pengajuan form Request NOTAM Replace (RQNTMR) dilakukan di luar jam yang telah ditetapkan, yang mengarah pada kekeliruan dalam pengolahan data. Untuk mengatasi permasalahan ini, penulis menyarankan sosialisasi lebih lanjut mengenai prosedur pengajuan NOTAM yang benar. 
Co-Authors Abas Setiawan Agus Subarkah Agusinta, Lira Chairun Nisak Dini Wagini Elfi Amir Erika Noor Dianti Fajar Ardhi Gibran HM. Thamrin Kevin Tito Hutahaean Metha Yurike Cartika Mirqotussa’adah Mirqotussa’adah Moch Faisal Muzaki Mochamad Faisal Muzaki Much Aziz Muslim Muh Hasbullah Muhammad Nabil Rahadinan Novanka Agnes Sekartaji Novita Ayu Permatasari Prasada Ricardianto Prisma Bayu Nugroho Purwoko, Agus Rini Sadiatmi Riza Arifudin Siti Alimah Tiffany Ovilia Dwi Lestari Togi Adnan Maruli Sinaga Yolanda Wina Soendari Siahaan Yudha Pratidhina