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All Journal Jurnal Buana Informatika JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Edukasi dan Penelitian Informatika (JEPIN) Annual Research Seminar Sistemasi: Jurnal Sistem Informasi MBR (Management and Business Review) Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknologi Sistem Informasi dan Aplikasi JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Tekno Kompak Jurnal Generic Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS The Indonesian Journal of Computer Science JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Ari Wedhasmara
Universitas Sriwijaya
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Library & Information Science Social Sciences Other

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Pengaruh Knowledge Management Factor Terhadap Keberlanjutan Penggunaan E-learning Elna Sari, Cici; Tania, Ken Ditha; Wedhasmara, Ari; Apriansyah Putra
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3406

Abstract

E-learning adalah pemanfaatan teknologi informasi sistem pembelajaran. Fungsi e-learning menerapkan praktik manajemen pengetahuan (KM). Beberapa penelitian telah menyelidiki faktor-faktor tertentu yang mempengaruhi penerimaan pembelajaran melalui pembelajaran daring. Namun, kajian tentang faktor manajemen pengetahuan yang mempengaruhi keberlangsungan adopsi e-learning pada masa transisi pascapandemi relatif baru dan belum dilaporkan dalam literatur yang ada. Oleh karena itu, tujuan utama dari penelitian ini adalah mengembangkan Expectation Confirmation Model (ECM) dengan faktor KM (acquisition, sharing, implement and protection) untuk menguji keberlanjutan penggunaan e-learning khususnya di Universitas Sriwijaya. . Penelitian ini menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM) untuk memvalidasi model yang dikembangkan. Data dikumpulkan dari 267 mahasiswa aktif Universitas Sriwijaya yang menggunakan atau sedang menggunakan e-learning dalam perkuliahan. Hasil penelitian ini menunjukkan bahwa faktor manajemen pengetahuan, dalam hal ini knowledge acquisition (KA), knowledge sharing (KS), knowledge application (KAP), dan knowledge protection (KP), merupakan faktor penting dalam menentukan keberlangsungan penggunaan layanan. e-learning di Universitas Sriwijaya.
Sistem Informasi Geografis Pemetaan Menara Telekomunikasi dengan Pengecekan Jarak Menggunakan Metode Haversine Sultan Arba'i; Ari Wedhasmara; Fathoni Fathoni; Apriansyah Putra; Dedy Kurniawan
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 3 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i3.6219

Abstract

DISKOMINFO OKU Regency provides recommendations for the establishment of telecommunication towers. Then do the planning and arrangement of telecommunication towers. However, this is still done manually based on map visualization in printed books, so when changes occur, you have to reprint the book, and you have to re-plan with Microsoft Excel, which makes the process more difficult and time consuming. In addition, there is no digital tower information service causing a lack of information for tower providers, so that the construction of towers has not been properly organized. So the solution to this problem is to build a system that can manage data, can map telecommunication towers and can plan the need for shared towers for the next 5 years by taking into account population, cellular service users, traffic requirements, number of BTS and tower coverage radius, and can provides information on checking coordinates by applying the haversine method which is useful so that the construction of new towers can be properly arranged in the system, where the system is made based on a website with a design using the waterfall method. The results of this study are an application that can assist the process of planning and arrangement of towers, both visual maps, tower requirements, checking coordinates and so on, which is done computerized.
Analysis of the Use and Acceptance of Government Social Media in the South Sumatra Community Using the UTAUT 2 Method (Case Study : Instagram of the South Sumatra Provincial Food Crop and Horticulture Agriculture Office @pertaniantph.sumsel) Falah, Miftahul; Wedhasmara, Ari; Putri, Amelia Rizki; Tania, Ken Ditha; Ibrahim, Ali; Sevtiyuni, Putri Eka
Generic Vol 17 No 1 (2025): Vol 17, No 1 (2025)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/generic.v17i1.248

Abstract

The widespread accessibility of the internet via smartphones, laptops, and tablets, along with the convenience of carrying these devices anywhere, has transformed social media from merely a communication tool into a key source of information. Instagram, in particular, focuses on visual aesthetics. Many government agencies in Indonesia now have Instagram accounts to engage with the public, as social media-especially Instagram-is increasingly viewed as a popular platform for information dissemination across various demographic groups. One such agency is the South Sumatra Provincial Food Crop and Horticulture Agriculture, which operates under the Instagram handle @pertaniantph.sumsel. However, engagement with their Instagram community remains low, as seen from the limited number of likes and comments on their posts. To investigate the factors contributing to this issue, a study was conducted using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) model, gathering data from 516 questionnaire respondents who follow the @pertaniantph.sumsel account. The data was analyzed using SmartPLS, revealing that Behavioral Intention significantly impacts Usage Behavior, Effort Expectancy significantly affects Behavioral Intention, Facilitating Conditions influence Usage Behavior, Habit has a significant impact on Behavioral Intention, Hedonic Motivation affects Behavioral Intention, and Social Influence also plays a key role in shaping Behavioral Intention.
The Influence of Promotion, Service Quality, and Electronic Word of Mouth on Customer Loyalty through Customer Satisfaction on the Instagram Account @rooftopin.nesia Fauzan, Muhammad Fairuz; Wedhasmara, Ari; Tania, Ken Ditha; Putra, Apriansyah
SISTEMASI Vol 14, No 4 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i4.5196

Abstract

The use of social media has become a key strategy in business development in the era of information technology. Rooftopin Café utilizes social media to build relationships with customers; however, its impact on customer loyalty remains uncertain. This study aims to analyze the influence of promotion, service quality, and electronic word of mouth (e-WOM) on customer loyalty, with customer satisfaction as a mediating variable. Using a quantitative approach, data were collected from 120 respondents—customers who have visited Rooftopin Café in Palembang and follow the Instagram account @rooftopin.nesia. The data were analyzed using SmartPLS. The results show that promotion, service quality, and e-WOM have a positive and significant effect on customer satisfaction. Furthermore, customer satisfaction has a positive and significant influence on customer loyalty. In addition, customer satisfaction is proven to mediate the relationship between service quality and customer loyalty, indicating complementary mediation. This implies that service quality affects customer loyalty not only directly but also indirectly through customer satisfaction.
Ekstraksi Pengetahuan dari Ulasan Aplikasi CapCut Menggunakan Metode Aspect-Based Sentiment Analysis dan Klasifikasi Ariyani, Ishlah Putri; Tania, Ken Ditha; Wedhasmara, Ari; Meiriza, Allsela
Jurnal Buana Informatika Vol. 16 No. 01 (2025): Jurnal Buana Informatika, Volume 16, Nomor 01, April 2025
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Indonesia is experiencing rapid technological development, especially in the use of the internet and editing platforms like CapCut. These platforms enable video editing on various devices; however, user satisfaction is not always guaranteed due to individual differences in experience. This research aims to identify user sentiment towards the CapCut application based on aspects, using an Aspect-Based Sentiment Analysis (ABSA) approach supported by Machine Learning algorithms for the aspect-based sentiment classification task. The algorithm used in the classification process is Support Vector Machine. The data used are reviews of the CapCut application from the Google Play Store, with a total of 22,668 data points. The results show that the Support Vector Machine (SVM) algorithm performs well in each aspect, with accuracy values of 0.88 for the feature aspect and 0.87 for the user experience aspect. The results of knowledge extraction are obtained in the form of XML, which contains user sentiment information on two main aspects: features and user experience.
Ekstraksi Pengetahuan dari Ulasan Aplikasi CapCut Menggunakan Metode Aspect-Based Sentiment Analysis dan Klasifikasi Ariyani, Ishlah Putri; Tania, Ken Ditha; Wedhasmara, Ari; Meiriza, Allsela
Jurnal Buana Informatika Vol. 16 No. 01 (2025): Jurnal Buana Informatika, Volume 16, Nomor 01, April 2025
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Indonesia mengalami perkembangan teknologi yang pesat, khususnya dalam penggunaan internet dan platform editing seperti CapCut. Platform ini memungkinkan pengeditan video di berbagai perangkat, namun kepuasan pengguna tidak selalu terjamin karena perbedaan pengalaman individu. Penelitian ini bertujuan untuk mengidentifikasi sentimen pengguna terhadap aplikasi CapCut berdasarkan aspek.Dengan menggunakan pendekatan Aspect-Based Sentiment Analysis (ABSA) yang didukung oleh algoritma Machine Learning untuk tugas klasifikasi sentimen berdasarkan aspek. Algoritma yang digunakan dalam proses klasifikasi adalah Support Vector Machine. Data yang digunakan adalah ulasan aplikasi CapCut dari Google Play Store sebanyak 22.668 data. Hasil penelitian menunjukkan bahwa algoritma Support Vector Machine (SVM) memiliki performa yang baik untuk masing-masing aspek dengan nilai akurasi untuk aspek fitur 0,88 dan aspek user experience 0,87. Hasil ekstraksi pengetahuan yang diperoleh berupa XML yang memuat informasi sentimen pengguna terhadap dua aspek utama, yaitu fitur dan user experience. 
DeLone and McLean Model Analysis of Success Factors of SIDEMANG Application in Palembang City Faris, Haninda Ammar; Wedhasmara, Ari; Putra, Apriansyah; Kurnia, Rizka Dhini; Bardadi, Ali; Fitri, Shofiyah
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 13 No. 2 (2024): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i2.1894

Abstract

Indonesia is ranked 77th in the world in electronic-based government systems, especially the City of Plembang is ranked 89th regarding the evaluation of smart city improvement in Indonesia. One of the latest applications used in the past year is the SIDEMANG application, which is an information system that has the use and purpose of facilitating access to administrative services related to personal and agency licensing files online at the village and sub-district levels in Palembang city, but this is also not free from obstacles, especially internet signals. Therefore, an analysis is needed related to the implementation of Information Systems, to assess the success of applications that have been implemented, especially government digital services. DeLone and McLean Information System Success Model is used, to see the significant factors that cause the success of Information System implementation. The data analysis method used in this research is quantitative because the data collected is in the form of numbers and will be analyzed using the SmartPLS application statistical technique, using a sample size of 97 respondents. The results showed that the information quality factor was not significant to the intention or use of the application, the system quality factor was not significant to the intention or use of the application, the system quality factor was not significant to user satisfaction, the service quality factor was not significant to user satisfaction. Recommendations for the Palembang City Communication and Information Office are related to the evaluation and improvement of the SIDEMANG application using the DeLone and McLean Model analysis. In particular, improvements to the quality of information that can influence citizens to use the application, improvements to the quality of the system that can invite and satisfy users in using the application, and improvements to service quality factors on citizen satisfaction.
Co-Authors Abdiansah, Abdiansah Ahmad Rafid Rizqullah Ahmad Rifai Ali Bardadi Ali Ibrahim Ali Ibrahim (SCOPUS ID: 57203129436) Allsela Meiriza, Allsela Alvi Syahrini Utami Alzena Aisha Shakira Annisa Tri Ning Tyas Apriansyah Putra Apriansyah Putra Apriansyah Putra Apriansyah Putra Ariyani, Ishlah Putri Ariyanti, Putri Charolin, Nurhaliza Cici Elna Sari Dedy Kurniawan Dinna Yunika Hardiyanti Dwi Rosa Indah Elly Kurniati Elna Sari, Cici Faris, Haninda Ammar Fathoni - Fauzan, Muhammad Fairuz Fitri, Shofiyah Gusti Barata Hardini Novianty Inayah, Anna Fadilla Inka Marissa Jambak, Muhammad Ihsan Jasmo ari wibowo Kanda Januar Miraswan Ken Ditha Tania Mgs Afriyan Firdaus Miftahul Falah Nadia Anggraini Novi Yusliani Oktadini, Nabila Rizky Pacu Putra Putri Ariyanti Putri Eka Sevtiyuni Putri Eka Sevtyuni Putri, Amelia Rizki Rahmat Izwan Heroza Rani Mardiah Riska Yunita Rizka Dhini Kurnia Rusdi Efendi Septa Rahmayuni Sevtiyuni, Putri Eka Sultan Arba'i Wulan Dari, Atikah