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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 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

Author-ID : 288395

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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Education Program Evaluation P5 (Pancasila Student Profile Strengthening Project) Using CIPP Heni Prasetyowati; Ade Iriani; Bambang Ismanto
Jurnal Indonesia Sosial Sains Vol. 5 No. 03 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i03.1053

This study aims to evaluate the implementation program of the project to strengthen the Pancasila student profile (P5) in the independent curriculum at SDN Genting 02, Jambu District, Semarang Regency, which is a driving school. The research method used is a type of evaluation research using a qualitative descriptive method. This research uses the CIPP evaluation model (context, input, process, product). Data collection techniques used interviews, documentation studies, and observation. Data analysis techniques include Data collection, data reduction, data presentation, and drawing conclusions, in accordance with data analysis techniques according to Miles and Huberman. The research findings indicate that the P5 context aspect is crucial for boosting student achievement and fostering enthusiasm for learning. The Input aspect, namely in the fields of planning, schedules, implementation mechanisms, teachers, staff, financing, facilities, and infrastructure are appropriate but there is a need for improvement in several fields. The results of research on process aspects include preparation, activity process, obstacles, and aspects of suitability to the needs of students. The results of research on the product aspect are the increasing academic and non-academic achievements of students, and also good character in students.

Digital Image Object Detection with GLCM Multi-Degrees and Ensemble Learning Kurniati, Florentina Tatrin; Purnomo, Hindriyanto Dwi; Sembiring, Irwan; Iriani, Ade
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 2 (2024): April 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i2.5597

Object detection in digital images has been implemented in various fields. Object detection faces challenges, one of which is rotation problems, causing objects to become unknown. We need a method that can extract features that do not affect rotation and reliable ensemble-based classification. The proposal uses the GLCM-MD (Gray-Level Co-occurrence Matrix Multi-Degrees) extraction method with classification using K-Nearest Neighbours (K-NN) and Random Forest (RF) learning as well as Voting Ensemble (VE) from two single classifications. The main goal is to overcome the difficulty of detecting objects when the object experiences rotation which results in significant visualization variations. In this research, the GLCM method is used to produce features that are stable against rotation. Furthermore, classification methods such as K-Nearest Neighbours (KNN), Random Forest (RF), and KNN-RF fusion using the Voting ensemble method are evaluated to improve detection accuracy. The experimental results show that the use of multi-degrees and the use of ensemble voting at all degrees can increase the accuracy value, and the highest accuracy for extraction using multi-degrees is 95.95%. Based on test results which show that the use of features of various degrees and the ensemble voting method can increase accuracy for detecting objects experiencing rotation

Optimizing Multilayer Perceptron with Cost-Sensitive Learning for Addressing Class Imbalance in Credit Card Fraud Detection Priatna, Wowon; Hindriyanto Dwi Purnomo; Ade Iriani; Irwan Sembiring; Theophilus Wellem
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 4 (2024): August 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i4.5917

The increasing use of credit cards in global financial transactions offers significant convenience for consumers and businesses. However, credit card fraud remains a major challenge due to its potential to cause substantial financial losses. Detecting credit card fraud is a top priority, but the primary challenge lies in class imbalance, where fraudulent transactions are significantly fewer than non-fraudulent ones. This imbalance often leads to machine learning algorithms overlooking fraudulent transactions, resulting in suboptimal performance. This study aims to enhance the performance of Multilayer Perceptron (MLP) in addressing class imbalance by employing cost-sensitive learning strategies. The research utilizes a credit card transaction dataset obtained from Kaggle, with additional validation using an e-commerce transaction dataset to strengthen the robustness of the findings. The dataset undergoes preprocessing with RUS and SMOTE techniques to balance the data before comparing the performance of baseline MLP models to those optimized with cost-sensitive learning. Evaluation metrics such as accuracy, recall, F1 score, and AUC indicate that the optimized MLP model significantly outperforms the baseline, achieving an AUC of 0.99 and a recall of 0.6. The model's superior performance is further validated through statistical tests, including Friedman and T-tests. These results underscore the practical implications of implementing cost-sensitive learning in MLPs, highlighting its potential to significantly enhance fraud detection accuracy and offer substantial benefits to financial institutions.

Cross Cultural Communication Strategies for Teaching Teams in PKBM Junggel Salatiga, Indonesia Vieira, Driellen; Ismanto, Bambang; Iriani, Ade
Jurnal Paedagogy Vol 12, No 3 (2025): July : IN PROGRESS
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jp.v12i3.15712

This study aims to examine cross-cultural communication in the multicultural environment of PKBM Junggel School Salatiga. The research employs a descriptive qualitative method, utilizing observation and in-depth interview techniques. Participants were selected through purposive sampling, comprising 13 teachers and 2 principals with over a year of experience working in multicultural teams. Data analysis was conducted using the Miles and Huberman model, which includes data reduction, data presentation, and conclusion drawing. The findings indicate that cross-cultural communication at PKBM Junggel School Salatiga runs effectively despite various challenges. The diverse backgrounds of educators, both local and international, make Junggel School a rich learning space with perspectives that are prone to miscommunication. Key challenges include differences in communication styles (high vs. low context), culture shock, and interpretation of non-verbal cues such as facial expressions, eye contact, and body language. The effectiveness of cross-cultural communication is achieved through specific managerial strategies, including cultural training, reflective forums, and open communication. These strategies have successfully created an inclusive, harmonious, and responsive collaborative environment that meets the needs of global learners. Diversity is viewed not as an obstacle but as a strategic asset that enriches the pedagogical approach and builds education based on values of tolerance and mutual respect.

Audit Manajemen Keamanan Teknologi Informasi Menggunakan Standar ISO 27001 : 2005 Di PerguruanTinggi XYZ Sidik, Muhammad; Iriani, Ade; Yulianto, Sri
MEANS (Media Informasi Analisa dan Sistem) Volume 3 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Management audit is very important for any colleges towards the examination and assesment of their information technology management to gain efficient and effective business running process. Information technology security as an effort of internal controlling for risk and threat security minimization, is mainly considered due to all learning and lecturing administration activities use information technology. To find out how secure technology information is, it is then recquiring an audit to make sure everything run based on procedure. Standard used is framework international standardization organization (ISO) 27001:2005. It ischosen because framework can be adjusted with instrument of the research used in the organization. It is then developed and focused on information security management system (SMKI). As a results, all have outcome JPA = PA1:PA10, NA=JPA/10 produces value average 65%. Last but not at least, it showspositive level, but still under expectation by college requirement that requires continuous evaluation and enhancement of recommended security control

ANALISA PREDIKSI MAHASISWA DROP OUT MENGGUNAKAN METODE DECISION TREE DENGAN ALGORITMA ID3 dan C4.5 Haidar, Laksamana Rajendra; Sediyono, Eko; Iriani, Ade
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1609

The case of drop out at the Weleri STEKOM is often done by the campus. Drop out is a problem that is often done by Weleri STEKOM students because of a GPA of less than 2, Number of organizations followed, Tuition not paid for students and student who have exceeded the limit of 14 semesters. This study discusses predicting drop out students with C4.5 and ID3 decision tree methods that are useful to assist the campus in anticipating student dropouts. This study uses student data as many as 1087 students. Student data is divided into training data and testing data in order to obtain a model or rule in predicting DO students. Variable of this reseach contain V1(GPA) and then V2 (Distance beetween home and campus), V3(how long the lecture has been done), V4(Having a Job), V5(Family) and V6(school fee). This research The results of this study obtained 18 rules or rules for ID3 algorithm and 8 rules for C4.5 algorithm. The algorithm ID3 test results obtained an average of 95.17%, precision of 94.7% and recall of 96.18%, while for Decision Tree C 4.5 obtained an average of 96.45%, precision of 96.90% and recall of 95.38. This research prove that Decision using C4.5 is better for prediction of drop out students at STEKOM.

PEMANFAATAN SOCIAL NETWORK ANALYSIS (SNA) UNTUK MENGANALISIS KOLABORASI KARYAWAN PADA PT. ARUM MANDIRI GROUP Kurniawan, Dendy; Iriani, Ade; Manongga, Danny
Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i2.1646

Pertumbuhan industri di Kendal Jawa Tengah membuat PT. Arum Mandiri Group mencoba meningkatkan unit bisnisnya dengan mengoptimalkan SDM nya. Peningkatan SDM perusahaan salah satunya dengan kolaborasi komunikasi antara karyawan dan pimpinan. Penelitian ini mencoba untuk mengidentifikasi kolaborasi jaringan komunikasi karyawan dalam perusahaan dengan menggunakan metode Social Network Analysis (SNA). Berdasarkan analisa diperoleh hasil tingkat density sebesar 14,9% yang dianggap memiliki ikatan lemah karena dibawah 50%. Individu nomor 31 memiliki degree centrality tertinggi dengan nilai outdegree 15 dan indegree 10, sedangkan individu nomor 25 yang memiliki closeness centrality tertinggi dengan nilai inCloseness 50.602 dan nilai outCloseness 27,815. Individu nomor 25 juga memiliki betweenness centrality tertinggi dengan nilai Betweenness 743.194dan nBetweenness 43.159. Dapat disimpulkan dalam penelitian ini terdapat kolaborasi dalam jaringan sosial dari masing-masing individu yang terbagi dalam tiga divisi kerja dan tergambarkan dalam bentuk sociogram. Industrial growth in Kendal, Central Java made PT. Arum Mandiri Group is trying to improve its business units by optimizing its human resources. One of the improvements in corporate HR is through collaborative communication between employees and leaders. This study tries to identify employee communication network collaboration within a company by using the Social Network Analysis (SNA) method. The result of this research are density level of 14.9% which is considered to have a weak bond because under 50%. Individual number 31 has the highest of degree centrality with an outdegree value of 15 and indegree of 10, while individual number 25 has the highest closeness centrality with value inCloseness 50.602 and outCloseness value 27.815. Individual number 25 also has the highest centrality betweenness with a value of Betweenness 743,194 and nBetweenness 43,159. It can be concluded in this study there is collaboration in the social network of each individual which is divided into three work divisions and described in the form of a sociogram.

EVALUATION IT GOVERNANCE COMPUTER NETWORK AT CENTRAL BUREAU OF STATISTICS (BPS) MALUKU PROVINCE USING COBIT 2019 DSS01 AND DSS05 DOMAINS Radjulan, Juins Carlo; Iriani, Ade; Tambotoh, Johan
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2779-2794

This research aims to evaluate IT governance on the capability maturity level of computer networks at BPS Maluku Province using the COBIT 2019 Framework focusing on the DSS domain, namely DSS01 and DSS05. The research method uses qualitative and quantitative approaches by observing research objects, conducting interviews, and collecting data using a questionnaire distributed to the Maluku Province BPS office environment using saturation sampling techniques. The stages of this research were adapted to the COBIT 2019 framework. This research was measured using a Likert scale and utilized script apps, Google Cloud Platform, which was integrated with a web-based programming language. The results of this research show that the maturity level or capability maturity level in the DSS domain, namely the DSS01 subdomain, is 3.48 with a percentage of 69.70%. DSS05 is 3.47, with a rate of 69.47%. These two subdomains are still in the established process, level 3 with a GAP value of 2 for capability maturity level and the DSS01 domain GAP percentage of 30.30%. The DSS05 percentage is 30.53%, with a primarily achieved scale. Hopefully, this research will become a reference for improvements to several aspects that have been assessed and recommended so that computer network governance for services and activities at BPS Maluku Province becomes better.

Placement Of Teachers Based On School Needs Using Iterative Dichotomiser 3 Wardoyono, Hengky; Sediyono, Eko; Iriani, Ade
JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) Vol 9, No 1 (2025): Journal of Humanities and Social Studies
Publisher : UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jhss.v9i1.12073

This research aims to develop an effective teacher placement model based on school needs using the Iterative Dichotomiser 3 (ID3) algorithm. The right placement of teachers can improve the quality of education and ensure equal distribution of human resources in the school environment. The ID3 algorithm builds a decision tree that helps determine optimal teacher placement. The research results show that using ID3 in the teacher placement process can produce more structured and fair decisions, compared to traditional methods. Test and Score results in 100x experiments, with the model or method used as Tree, showing that the AUC value is 0.950. The CA value is 0.934. The F1 value is 0.93. The Precision value is 0.934. The Recall value is 0.934. It is predicted that 1 subject teacher can teach the number of students per class in class 10 around 32 people, and class 11 around 31 people, and class 12 around 37 people. It is hoped that the implementation of this model can support educational policies in improving the distribution of educational quality in various classes and subjects.

Model Konseptual bagi Pengembangan Knowledge Management di SMA Menggunakan Soft System Methodology Perdana, Eric Megah; Manongga, Danny; Iriani, Ade
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 6 No 2: April 2019
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Terhambatnya transformasi knowledge antara pengajar dan siswa di SMAK 1 Penabur Jakarta ditemukanlah suatu kendala, yaitu perbedaan karakter antara yayasan, guru, dan siswa. Berdasarkan fakta diatas, SMAK 1 Penabur Jakarta memerlukan suatu Knowledge Management yang dapat membantu kinerja yang sedang berjalan. Metode yang digunakan dalam penelitian ini adalah pendekatan Soft System Methodology. Terdapat langkah dalam Soft System Methodology yang dilakukan yaitu menggunakan analisis CATWOE terhadap holon yang ditemui di SMAK 1 Penabur Jakarta. Pemodelan yang dihasilkan berupa komponen yang dibagi menjadi 4 bagian yaitu, manusia, proses, teknologi, dan content.AbstractThe obstructed of knowledge transformation between the educator and student in SMAK 1 Penabur Jakarta was found the constraints, it is the differences character between foundation, teacher, and student. According to the fact above, SMAK 1 Penabur Jakarta needs a knowledge management in order to help the teaching and learning proses. This research is using the method. The method that is used is Soft System Methodology (SSM) approach. It has some steps in Soft System Methodology by using CATWOE analyzation to holon in SMAK 1 Penabur Jakarta. The model-produced is divided into 4 components, those are human, content, technology, and process.

Co-Authors Adi Kristianto Adrisal Kaliongga Alfonrianus Bali Ana Maria Heni Antar Maramba Jawa Anthony Anthony Antonius Mbay Ndapamuri 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

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