p-Index From 2021 - 2026
11.493
P-Index
This Author published in this journals
All Journal Jurnal Penelitian dan Evaluasi Pendidikan JURNAL SISTEM INFORMASI BISNIS Jurnal Jurusan Ilmu Keolahragaan Jurnal Pendidikan Indonesia Jurnal Ilmu Sosial dan Humaniora Resital: Jurnal Seni Pertunjukan (Journal of Performing Arts) JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Inovasi Teknologi Pendidikan ELEMENTARY SCHOOL JOURNAL PGSD FIP UNIMED Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika MIX : Jurnal Ilmiah Manajemen Manajemen Pendidikan Jurnal Manajemen & Supervisi Pendidikan JOIV : International Journal on Informatics Visualization Kelola: Jurnal Manajemen Pendidikan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Scholaria: Jurnal Pendidikan dan Kebudayaan Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini TRIHAYU: Jurnal Pendidikan Ke-SD-an IJIE (Indonesian Journal of Informatics Education) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Satya Widya JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Administrasi dan Manajemen Pendidikan INOVTEK Polbeng - Seri Informatika BAREKENG: Jurnal Ilmu Matematika dan Terapan Dinamisia: Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Basicedu Jurnal Ilmiah Pendidikan dan Pembelajaran Journal of Education Action Research Journal of Education Technology International Journal of Elementary Education Mimbar Ilmu Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JETL (Journal Of Education, Teaching and Learning) Journal of Humanities and Social Studies Aptisi Transactions on Technopreneurship (ATT) IMPROVEMENT: Jurnal Ilmiah untuk peningkatan mutu manajemen pendidikan Magisma: Jurnal Ilmiah Ekonomi dan Bisnis Jurnal Mnemonic Jurnal Prakarsa Paedagogia Abdimasku : Jurnal Pengabdian Masyarakat Computer Science and Information Technologies Jurnal Paedagogy Aiti: Jurnal Teknologi Informasi MEANS (Media Informasi Analisa dan Sistem) Indonesian Values and Character Education Journal Jurnal Teknologi Informasi dan Komunikasi Didaktika: Jurnal Kependidikan Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran International Journal of Social Service and Research Inovasi Kurikulum Transformasi dan Inovasi : Jurnal Pengabdian Masyarakat Cakrawala: Jurnal Pendidikan Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Basicedu Jurnal Dimensi DKV Seni Rupa dan Desain Jurnal Indonesia Sosial Sains Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Eduvest - Journal of Universal Studies Kelola: Jurnal Manajemen Pendidikan SmartComp Jurnal Informatika: Jurnal Pengembangan IT International Journal of Information Technology and Business JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : JURNAL SISTEM INFORMASI BISNIS

Pemanfaatan Social Network Analysis Untuk Menganalisis Kolaborasi Komunikasi Pada Balai Perikanan Budidaya Laut Ambon Latupeirissa, Ariyanto; Sediyono, Eko; Iriani, Ade
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 2 (2019): Volume 9 Nomor 2 Tahun 2019
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (833.677 KB) | DOI: 10.21456/vol9iss2pp121-132

Abstract

Marine aquaculture center-Ambon (Balai Perikanan Budidaya Laut/BPBL-Ambon) is a technical implementing unit under supervision of Directorate General of Aquaculture, Ministry of Maritime Affairs and Fisheries, Republic of Indonesia. Based on report of government’s internal control system (Sistem Pengendalian Intern Pemerintah/SPIP) specifically at the third quarter, some crucial organizational disadvantages have been identified in BPBL-Ambon, particularly related to the communication and coordination between divisions and technical staffs. To deal with this problem, there is a need to analyze and map the roles of interactions between employees in social networks. This study aims to analyze the patterns of interaction between staffs in the social networks. In this work, social network analysis (SNA) was used, which is based on formal and informal interactions on BPBL-Ambon, enabling to identify the key actors potentially able to act as alternative actors for information access to facilitate communication. The collection of individual data, as well as formal and informal interactions, was carried out using questionnaire and interview, involving entire population (saturation sampling). The collected data were then filetered and tabulated symmetric matrix, as preliminary steps for analysis following exported. SNA approach focuses on determining degree centrality, closeness centrality, and betweenness centrality. As a result, our experimental data suggested that most divisions alreadyshowed an appreciable collaboration in terms of communication; however, the remaining divisions showed 0 value in terms of their relationship with other divisions. Based on these findings, we could solve the problem through acting the alternative actors having the highest indegree value apart from stakeholders from a division capable of acting as alternative sources of information. The involvement of alternative actors could be a meaningful attempt in order to solve communication and coordination problems present in BPBL-Ambon
Analisis Interaksi Guru dan Peserta Didik dengan Social Network Analysis yang Menumbuhkan Minat Belajar di SMK Negeri 1 Tengaran Joko Listiawan Sukowati; Ade Iriani; Irwan Sembiring
Jurnal Sistem Informasi Bisnis Vol 13, No 2 (2023): Volume 13 Nomor 2 Tahun 2023
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol13iss2pp88-95

Abstract

School is a place where students gain knowledge and as a place where the process of interaction between teachers and students occurs.. The interaction between teachers and students greatly influences the learning interests of students. This study aims to find teachers and indicators that influence students' interest in learning in the school environment using Social Network Analysis (SNA). The research was conducted at Tengaran 1 Public Vocational School with the research object being teachers and class XI students. The results showed that the most dominant actor or teacher in degree centrality, which was chosen by the students, was the actor or teacher with the Cp code, with a value of 26. The next step after calculating the SNA and measure network is indicator validation and classification using Naïve Bayes. The results of the indicator validation show that the validation value for each indicator is more than 0.5, so the indicators can be said to be valid. The classification results using naïve Bayes, with a dataset divided by 80% training data and 20% test data showing an accuracy of 85%. It is hoped that the results of this research can be input to teachers so that in schools they are more active in participating in various kinds of activities held by schools, and are active in interacting with students in the teaching and learning process. So, it is hoped that students will be more active in learning.
IT Governance Design in XY University using Cobit 2019 Framework Mangoki, Willson; Manongga, Danny; Iriani, Ade
Jurnal Sistem Informasi Bisnis Vol 14, No 2 (2024): Volume 14 Nomor 2 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss2pp111-122

Abstract

The management and control of information and technology at the university were required for IT's finest use, but in line with organization goals, they can be realized with the use of IT governance. This research uses a qualitative approach with techniques such as interviews, observation, expert judgment, and literature studies that are relevant to the concept of IT governance with the COBIT framework and its application in various fields. This research presents an IT governance design that is considered suitable to be applied at XY University using COBIT 2019 Framework. 10 design factors and 40 IT processes listed in COBIT 2019 are used as parameters. The results obtained from four processes with scores ranging from 50 to 100 with capability levels 3 and 4, namely APO04-Managed Innovation, APO03-Managed Enterprise Architecture, APO07-Managed Human Resources, and BAI07-Managed IT Change Acceptance and Transitioning, are translated into recommendations for actions that need to be taken in implementing IT governance.
Analisis Sentimen Komentar Konsumen Industri Jamu di Media Sosial menggunakan Artificial Neural Network dan K-Nearest Neighbor Kurniawan, Daniel; Purnomo, Hindriyanto Dwi; Iriani, Ade
Jurnal Sistem Informasi Bisnis Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss3pp210-223

Abstract

Phytopharmaceutical plants have become one of the main commodities contributing significantly to the economy through their use in the pharmaceutical, cosmetic, and health industries. However, behind this economic potential, traditional herbal medicine businesses often face challenges, particularly in promotion and brand identity. Social media platforms like Instagram have now introduced unique features to support business and marketing, primarily by providing in-depth information about herbal products and offering opportunities for businesses to receive feedback from consumers. Comments on social media are valuable but often unstructured; hence, sentiment analysis is necessary to organize and categorize this data. By combining comment data with information from Google Trends, cause-and-effect relationships from comments during specific periods can be identified using path analysis. This research aims to analyze consumer comments on the Sidomuncul company's Instagram platform, with the hope of benefiting the company and advancing herbal medicine products. The methods used in this study include Artificial Neural Network (ANN) and K-nearest neighbor (KNN) to classify comments into positive, negative, and neutral categories. Both methods show satisfactory results in classification, with an average accuracy of 0.887 for ANN and 0.874 for KNN. However, the ROC curve for the KNN model indicates a relatively low AUC value in classifying negative comments, at 0.598.
Co-Authors Adi Kristianto Adrisal Kaliongga Alfonrianus Bali Ana Maria Heni Antar Maramba Jawa Anthony Anthony Antonius Mbay Ndapamuri Arny Lattu Astriyer J. Nahumury Bambang Ismanto Bambang Suteng Sulasmono Basuki Budiyatmo Basuki Wibowo, Arif Brigitta Putri Atika Tyagita, Brigitta Putri Atika Budhi Kristianto Daniel Kurniawan Daniel Kurniawan Danny Manongga Dedy Prasetya Kristiadi Dendy Kurniawan Destin Ricardo Lase Destin Ricardo Lase Devi Kurniawati, Agatha Ratna Djari, Maria Cristiana Yuliyanti Dwi Hosanna Bangkalang Dwikuraningsih, Yari Edi Suharyadi Eko Nur Hermansyah Eko Sediyono Ela, Anastasia Elfira Umar Elsy Senides Hana Taunu Elvis Fernando Tarantein Erfy Melany Lalupanda Ervitasari, Aning Erwianta Gustial Radjah Eskris, Yosiana Esther Yuli Ekawati Evangs Mailoa Florentina Tatrin Kurniati Getsi Novalin Takain Grace Kartika Ratih Hadi, Wasito Hendrawati, Ririn Hendry Hendry, - Heni Prasetyowati Heni Prasetyowati Hennie Tuhuteru Hindriyanto Dwi Purnomo Irwan Sembiring Johan Jimmy Carter Tambotoh Joko Listiawan Sukowati Jonas, Dendy Julians, Adhe Ronny Kristoko Dwi Hartomo Kusumajaya, Robby Andika Laksamana Rajendra Haidar Latupeirissa, Ariyanto Laurentia Prabaniardi Kartikasari Lelatobur, Lovely Ezverenzha Lukman Santoso M Munifah Mangoki, Willson Manongga, Daniel Herman Ferdy Marinu Waruwu Marsye Ruth Hendria Pasanea Martza Merry Swastikasari Mawardi Merryana Lestari Miranda, Pedro da Costa Muhammad Sidik Mutia Ayu Krismanda, Mutia Ayu Nanle, Zeze Nikhlis, Neilin Nina Setiyawati Ninda Lutfiani Noni Melisa Pebrioni Nurtino, Tio Oktriany, Wara Hapsari Paais, Reinhard Leonardo Palupi, Ester Sekar Parera, Stasia Veronica Penidas Fiodinggo Tanaem Penidas Fodinggo Tanaem Perdana, Eric Megah Plenden, Di Ohanes Richi Christian Priatna , Wowon Purnama Harahap, Eka Qurotul Aini Radjulan, Juins Carlo Rahmat Dhoni Wiryatmo Rimes Jopmorestho Malioy Ririn Hendrawati Sasadara Wahyu Lukitasari, Sasadara Wahyu Septian, Rafly Ananda Dwi Setyo Budi Utomo Shendi Kharisma Widiastuti Sidik, Muhammad Sophia Tri Satyawati Sri Yulianto Steiven Orland Ngongira Stephen Aprius Sutresno, Stephen Aprius Suharyadi Susilawati Susilawati Sutarto Wijono Swastikasari, Martza Merry Syefudin Syefudin Theopillus J. H. Wellem Tomasoa, Lyonly Tommy Prasetyo, Dewantoro Tri Wahyuningsih Tria Citra Listiani Mukti Triwiyanto, Wahyudi Uly, Novem Untung Rahardja Valentino Kevin Sitanayah Que Victor Peter Lodewyk Duan Vieira, Driellen Wara Hapsari Oktriany Wardani, Mawaroh Ken Wardoyono, Hengky Wasitohadi Wasitohadi - Watunwotuk, Alfian Widhiardanti, Rosalia Meita Wijaya, Franke Wilhelmus Werong Wiwien Hadikurniawati Wulandari, Mega Retno Yari Dwikurnaningsih Yessica Nataliani Yohnes Madawara, Herdin Yoseb Sudarso Bunbaban Yulianto, Sri