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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)
Ade Iriani
Universitas Kristen Satya Wacana
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Transportation Other

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Trends in sentiment of Twitter users towards Indonesian tourism: analysis with the k-nearest neighbor method Purnama Harahap, Eka; Dwi Purnomo, Hindriyanto; Iriani, Ade; Sembiring, Irwan; Nurtino, Tio
Computer Science and Information Technologies Vol 5, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i1.p19-28

Abstract

This research analyzes the sentiment of Twitter users regarding tourism in Indonesia using the keyword "wonderful Indonesia" as the tourism promotion identity. The aim of this study is to gain a deeper understanding of the public sentiment towards "wonderful Indonesia" through social media data analysis. The novelty obtained provides new insights into valuable information about Indonesian tourism for the government and relevant stakeholders in promoting Indonesian tourism and enhancing tourist experiences. The method used is tweet analysis and classification using the K-nearest neighbor (KNN) algorithm to determine the positive, neutral, or negative sentiment of the tweets. The classification results show that the majority of tweets (65.1% out of a total of 14,189 tweets) have a neutral sentiment, indicating that most tweets with the "wonderful Indonesia" tagline are related to advertising or promoting Indonesian tourism. However, the percentage of tweets with positive sentiment (33.8%) is higher than those with negative sentiment (1.1%). This study also achieved training results with an accuracy rate of 98.5%, precision of 97.6%, recall of 98.5%, and F1-score of 98.1%. However, reassessment is needed in the future as Twitter users' sentiment can change along with the development of Indonesian tourism itself.
Predicting students' success level in an examination using advanced linear regression and extreme gradient boosting Wahyuningsih, Tri; Iriani, Ade; Dwi Purnomo, Hindriyanto; Sembiring, Irwan
Computer Science and Information Technologies Vol 5, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i1.p29-37

Abstract

This research employs a hybrid approach, integrating advanced linear regression and extreme gradient boosting (XGBoost), to forecast student success rates in exams within the dynamic educational landscape. Utilizing Kaggle-sourced data, the study crafts a model amalgamating advanced linear regression and XGBoost, subsequently assessing its performance against the primary dataset. The findings showcase the model's efficacy, yielding an accuracy of 0.680 on the fifth test and underscoring its adeptness in predicting students' exam success. The discussion underscores XGBoost's prowess in managing data intricacies and non-linear features, complemented by advanced linear regression offering valuable coefficient interpretations for linear relationships. This research innovatively contributes by harmonizing two distinct methods to create a predictive model for students' exam success. The conclusion emphasizes the merits of an ensemble approach in refining prediction accuracy, recognizing, however, the study's limitations in terms of dataset constraints and external factors. In essence, this study enhances comprehension of predicting student success, offering educators insights to identify and support potentially struggling students. 
Public Opinion on National Exam Policies in Indonesia Manongga, Danny; Iriani, Ade; Wijono, Sutarto
International Journal of Information Technology and Business Vol. 5 No. 1 (2022): November: International Journal of Information Technology and Business
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/ijiteb.512018.14-26

Abstract

Abstract Every new policy by Indonesian government in National Examination (NE) implementation always obtains different respond from public. Since the implementation, NE system already experienced many changes, but in recent years this system receives serious critiques. As a result, government then abolished this system as graduation determinant in 2014. This research analyzes public opinion, in the form of positive and negative sentiment toward NE policy, and factors that drive the opinions. Data in this research obtained from online news media from 2012 to 2015. The result shows that public sentiment fluctuating from year to year and depends on three important factors, i.e. political pressure, extreme events, and media coverage.
Collaboration Analysis of Semarang City Dengue Hemorrhagic Fever Health Surveillance Officer with Social Network Analysis Santoso, Lukman; Manongga, Danny; Iriani, Ade
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 4 No 1 (2020): February 2020
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (465.009 KB) | DOI: 10.29407/intensif.v4i1.12976

Abstract

This study aims to determine the pattern of a network collaboration between dengue hemorrhagic health surveillance personnel in the city of Semarang and to understand the flow of information deeply. The method of social network analysis / SNA (Social Network Analysis) on formal and informal communication networks between surveillance officers aims to produce sociometry and sociogram data so that the centrality of each actor in the network can be known. Interaction between Officers will be known through the analysis of the centrality of levels (degree), closeness (closeness), and intercession (betweenness). The approach used is descriptive quantitative. Data was collected using a research instrument in the form of a questionnaire, while the process of input and data analysis was carried out by looking at intact networks and ego networks carried out using UCINET. The results of the analysis show that officers dominate the centrality of the level and the intermediary with the position of Coordinator both City and District (Id. # 128, # 1, # 2, # 3). Collaboration based on working areas has a strong bond because 71% of the districts have a network density above 50%. While the value of closeness is dominated by surveillance members with id # 54, # 15, # 2, # 214, # 15 and # 10.
Soft System Methodology (SSM) Analysis to Increase the Number of Prospective Students Nikhlis, Neilin; Iriani, Ade; Hartomo, Kristoko Dwi
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 4 No 1 (2020): February 2020
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (279.957 KB) | DOI: 10.29407/intensif.v4i1.13552

Abstract

The competition between campus, whether it’s a public college and private college in Central Java, is very tight with the increasing number of interested students for prospective students from various regions. The close competition requires many campuses to compete to provide the best facilities and services. The research objective is expected to support the "XY" university promotion strategy to help the university in the knowledge capture process. Data collection was carried out using the group discussion forum (FGD) method with a structured interview process for university leaders, university officials, marketing departments, and students. The technique used in this study is a soft system methodology (SSM). The results of this study model knowledge capture (KC) on the "XY" university promotion strategy and produce knowledge documentation that provides benefits in making policy strategies and has an impact on increasing the number of prospective new college students by optimizing digital marketing.
Information Technology Governance Design in DevOps-Based E-Marketplace Companies Using COBIT 2019 Framework Lestari, Merryana; Iriani, Ade; Hendry, Hendry
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 6 No 2 (2022): August 2022
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v6i2.18104

Abstract

The E-Marketplace system is a digital place where sellers and buyers meet virtually, and transactions can be processed safely. E-Marketplace companies are oriented toward consumer-centric products and services and operate and have 24/7 non-stop transaction activities. E-Marketplace system development has become the digital transformation in Information Technology (IT) governance that meets the requirements of a system-based automated control with the application of DevOps principles. This study uses a mixed method approach through questionnaires, interviews, expert judgment, and relevant literature reviews related to the e-Marketplace system and IT governance concepts using the COBIT 2019 framework, which has 11 design factors with 40 IT processes to obtain the most appropriate governance model for e-Marketplace companies. The results were obtained in the form of 6 (six) methods in the IT governance model using the DevOps approach, namely the APO03 – Managed Enterprise Architecture, APO04 – Managed Innovation, BAI04 – Managed Availability and Capacity, BAI06 – Managed IT Changes, BAI11 – Managed Projects, and DSS03 – Managed Problems with a score ≥ 75 and the capability level target is at level 4.
Exploring Alternative Approaches for TwitterForensics: Utilizing Social Network Analysis to Identify Key Actors and Potential Suspects Sembiring, Irwan; Iriani, Ade; Suharyadi, Suharyadi
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 7 No 2 (2023): August 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v7i2.18894

Abstract

SNA (Social Network Analysis) is a modeling method for users which is symbolized by points (nodes) and interactions between users are represented by lines (edges). This method is needed to see patterns of social interaction in the network starting with finding out who the key actors are. The novelty of this study lies in the expansion of the analysis of other suspects, not only key actors identified during this time. This method performs a narrowed network mapping by examining only nodes connected to key actors. Secondary key actors no longer use centrality but use weight indicators at the edges. A case study using the hashtag "Manchester United" on the social media platform Twitter was conducted in the study. The results of the Social Network Analysis (SNA) revealed that @david_ornstein accounts are key actors with centrality of 2298 degrees. Another approach found @hadrien_grenier, @footballforall, @theutdjournal accounts had a particularly high intensity of interaction with key actors. The intensity of communication between secondary actors and key actors is close to or above the weighted value of 50. The results of this analysis can be used to suspect other potential suspects who have strong ties to key actors by looking.
Ekstraksi Pengetahuan pada Penurunan Minat Mahasiswa Mengikuti Bursa Kerja Menggunakan Soft System Methodology Arny Lattu; Danny Manongga; Ade Iriani
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 20 No. 2 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v20i2.1157

Abstract

Mendapatkan pekerjaan sesuai dengan bakat dan minat adalah goal yang ingin dicapai oleh mahasiswa Fakultas Teknologi Informasi di Universitas X setelah lulus. Namun ternyata hal ini bukanlah mudah karena lapangan pekerjaan yang tersedia tidak sebanding dengan jumlah mahasiswa yang ingin segera bekerja setelah lulus. Mengatasi hal ini, Unit Pengembangan Karir dan Alumi Universitas X melakukan kegiatan bursa kerja yang dilakukan sebanyak 3 kali mengikuti periode wisuda di Univeritas X. Tujuan dari kegiatan ini adalah mempercepat mahasiswa mendapatkan pekerjaan sesuai bakat dan minatnya. Dengan adanya pelaksanaan kegiatan bursa kerja yang terorganisir dengan baik tentu menarik minat dari mahasiswa untuk turut serta dalam kegiatan ini. Masalah yang muncul ketika terjadinya penurunan minat mahasiswa dalam mengikuti bursa kerja yang disebabkan oleh faktor-faktor yang belum dapat diidentifikasi. Untuk itu, perlu diterapkan sebuah metode yang dapat mengekstraksi faktor-faktor dibalik terjadinya penurunan tersebut yaitu Soft System Methodology. Penelitian ini menggunakan SSM untuk mendeskripsikan masalah penyebab penurunan minat mahasiswa yang belum terdefenisi dengan baik. Fokus penelitian ini adalah mahasiswa Fakultas Teknologi Informasi Universitas X. Pengumpulan data dilakukan dengan observasi dan teknik wawancara. Setelah mendapatkan pengetahuan tersebut, hasil dari penelitian ini adalah sebuah model konseptual yang berisi elemen-elemen yang diperlukan dalam mengurangi penurunan minat dan tindakan perbaikan terhadap situasi permasalahan yang dihadapi bursa kerja serta model sistem informasi Evaluasi Bursa Kerja
ANALISIS KESIAPAN TATA KELOLA DAN INVESTASISISTEM INFORMASI Kusumajaya, Robby Andika; Sembiring, Irwan; Iriani, Ade
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 8, No 2 (2019): Smart Comp :Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v8i2.1486

Abstract

Teknologi informasi menjadi salah satu bagian penting dalam perusahaan yang memberikan manfaat untuk meningkatkan efisiensi dan efektifitas proses bisnis, terutama di sektor pendidikan. Tujuan penelitian ini adalah menghasilkan rekomendasi mengenai kesiapan tata kelola teknologi informasi tepat gunadan investasi yang layak diimplementasikan pada Perguruan Tinggi XYZ. Permasalahan yang muncul disebabkan karena belum ada proses pemeriksaan mengenai kesesuaian standart sistem dan kesulitan dalam menghitung costbenefit yang diperoleh dari investasi sistem informasi. Penelitian ini menggunakan framework COBIT 5.0 domain DSS01, bertujuan memberikanrekomendasi tata kelola teknologi informasi pada bagian manage operation dan metode Information Economics untuk melakukan analisis manfaat investasi. Pengumpulan data dilakukan wawancara denganHead IT Operation dan beberapa staff. Hasil penelitian menggunakan COBIT5.0 domain DSS01, menunjukkan bahwa prosesmonitoring operasional yang diimplementasikan belum sepenuhnya dijalankan, yaitu sebesar 81%. Hasil analisis metode Information Economic, dampak ekonomis Enchanced ROImenyatakan bahwa nilai persentase simpleReturn on Investment sebesar 145,66% atau dengan skor 1, menunjukkan bahwa investasi ini memberikan keuntungan bagi perusahaan walaupun tidak besar.Kata Kunci: SistemInformasi, Tata Kelola, COBIT 5.0, Information Economics.
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