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All Journal TEKNIK INFORMATIKA TELKOMNIKA (Telecommunication Computing Electronics and Control) SITEKIN: Jurnal Sains, Teknologi dan Industri JOIN (Jurnal Online Informatika) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Ilmiah FIFO Seminar Nasional Teknologi Informasi Komunikasi dan Industri MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Building of Informatics, Technology and Science ADI Journal on Recent Innovation (AJRI) Media Jurnal Informatika Jurnal Sistem Informasi Science, Technology, and Communication Journal

Luh Kesuma Wardhani

UIN Syarif Hidayatullah Jakarta

Author-ID : 2570947

Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Other

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RESTAURANT RECOMMENDER SYSTEM USING ITEM BASED COLLABORATIVE FILTERING AND ADJUSTED COSINE ALGORITHM SIMILARITY Addini Yusmar; Luh Kesuma Wardhani; Hendra Bayu Suseno
JURNAL TEKNIK INFORMATIKA Vol 14, No 1 (2021): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v14i1.21102

In 2018, the Ministry of Industry (Kemenperin) stated that the food and beverage sector contributed 6.34% of the national gross domestic product (GDP). Currently, culinary information can be easily found, both in print and online. The amount of information available sometimes makes people over-informed, making it difficult to choose a restaurant based on their preferences. To assist consumers in selecting a restaurant, we need a system that can provide several recommendations. This study aims to implement the item-based Collaborative Filtering method using the Adjusted Cosine Similarity algorithm on a restaurant recommendation system. The test was carried out with 40 samples from UIN Syarif Hidayatullah Jakarta using purposive sampling because the sample was selected based on specific criteria, and 40 respondents can be said to be correct because of the minimum number of respondents is 30. The accuracy test uses precision, and the determination of the error value uses MAE. The analysis of the research results used three scenarios, which are 5, 20, and 40 users. The third scenario produces the best precision and MAE values. Precision is better if the precision value is close to 1, and MAE is getting better if the MAE value is getting closer to 0. So it can be concluded that the Item-Based method with the Adjusted Cosine algorithm has the best accuracy and error values when the number of users grows.

ANALISIS KEAMANAN INFORMASI DATA CENTER MENGGUNAKAN COBIT 5 Iik Muhamad Malik Matin; Arini Arini; Luh Kesuma Wardhani
JURNAL TEKNIK INFORMATIKA Vol 10, No 2 (2017): Jurnal Teknik Informatika
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

ABSTRAK Data center pada sebuah institusi telah di amati dan dianalisa untuk mendapatkan deskripsi mengenai keamamanan informasinya. Data center pernah mengalami insiden keamanan informasi berupa Shell Injection. Akibatnya, beberapa situs web tidak dapat diakses beberapa saat. Insiden ini dapat memperngaruhi proses bisnis institusi. Untuk menghindari masalah ini di masa depan, diperlukan audit keamanan informasi. Audit ini dapat dilakukan dengan menggunakan framework COBIT 5. Dalam penelitian ini, audit keamanan indormasi dilakukan terhadap keamanan informasi data center dengan fokus pada proses APO13 (Manage Security) dan DSS05 (Manage Security Service). Penelitian ini Penelitian ini dilakukan melalui tahap Initiation, Planning the Assessment, Briefing, Data Collection, Data Validation, Process Attribute Level dan Reporting the Result. Hasil penelitian ini diketahui tingkat kemampuan APO13 dan DSS05 pada saat ini (As Is) bernilai 1,54 dan 1,68 atau pada level 2, yang berarti proses APO13 dan DSS05 telah dilakukan dan dipelihara sesuai dengan rencana kerja. Oleh karena itu tingkat berikutnya (to be) ditetapkan pada level 3. Untuk mencapai level 3, beberapa rekomendasi diberikan untuk menutupi gap yang telah ditentukan dalam proses APO13 dan DSS05. Data center harus membuat rencana kerja yang rinci, data center yang dikelola dengan baik dan memiliki standar yang jelas untuk diterapkan agar dapat mencapai tujuan bisnis ABSTRACT A data center of an institution was observed and analyzed in order to get description about its information security. The data center had ever experienced incidents of information security which is shell injection. As a result, some websites were not accessible for a moment. This incidents can affect business processes of the institution. In order to avoid this problem in the future, this institution needs information security audit. This audit can be done by using Framework COBIT 5. In this research, an information security audit was conducted to Data Center Information Security by using Framework COBIT 5, focus on the process DSS05 (Manage Security Service) and APO13 (Manage Security). This research was conducted through some stages of initiation, planning the assessment, briefing, data collection, data validation, process attribute level and reporting the result. Form this research, the capability level of APO13 and DSS05 at this moment (as is) worth 1.54 and 1.68 or at level 2, which means process of APO13 and DSS05 had been done and maintained in accordance with the work plan. Therefore the next level (to be) set at level 3. In order to achieve level 3, some recommendations provided to cover the gap that has been determined in the process APO13 and DSS05. The data center have to make a detail work plan, well managed data center and have clear standard to be implemented in order to reach the business goal.How to Cite : Martin, I.M. Arini. Wardani, L. K. (2017). ANALISIS KEAMANAN INFORMASI DATA CENTER MENGGUNAKAN COBIT 5. Jurnal Teknik Informatika, 10(2), 119-128. doi: 10.15408/jti.v10i2.7026Permalink/DOI: http://dx.doi.org/10.15408/jti.v10i2.7026

IMPLEMENTASI CONTENT-BASED FILTERING PADA APLIKASI RADAR ZAKAT DALAM MEREKOMENDASIKAN PREFERENSI MUSTAHIK Husni Teja Sukmana; Siti Atinah; Luh Kesuma Wardhani
JURNAL TEKNIK INFORMATIKA Vol 12, No 2 (2019): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Zakat is one of the pillars of Islam which is always mentioned parallel to prayer. The problems that exist in zakat institutions in Indonesia are low level of trust in muzaki in zakat payments through official institutions and tend to distribute zakat directly to mustahik. Zakat can attract sufficient attention from Muslim intellectuals, especially in the fields of research related to the development of zakat management. However, the growing zakat information system does not make it easier for muzaki to choose mustahik preferences, even though choice recommendations of mustahik is needed to make it easier for muzaki to choose mustahik preferences. The researcher was interested in applying the concept of recommendation in the Zakat Radar application by using the content based filtering method to produce a mustahik recommendation system with the term frequency inverse document frquency (tf-idf) technique.. This system is built using the Java programming language and MySQL as a database. The mustahik recommendation system has been successfully implemented in the Radar Zakat application, which produces 5 mustahik recommendations based on the highest weighting of the similarity of mustahik criteria chosen by the user. Similarity of mustahik criteria is based on the query of mustahik criteria chosen by the user, 5 queries of mustahik criteria are mustahik income, residence, facilities, number of dependents, and mustahik employment status.

A Comparative Analysis of Random Forest, XGBoost, and LightGBM Algorithms for Emotion Classification in Reddit Comments Anggraini, Nenny; Putra, Syopiansyah Jaya; Wardhani, Luh Kesuma; Arif, Farid Dhiya Ul; Hakiem, Nashrul; Shofi, Imam Marzuki
JURNAL TEKNIK INFORMATIKA Vol. 17 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v17i1.38651

This research aims to compare the performance of three classification algorithms, namely Random Forest, XGBoost, and LightGBM, in classifying emotions in Reddit comments. Emotion classification in Reddit comments is a complex classification problem due to its numerous variations and ambiguities. This research utilizes the GoEmotions Fine-Grained dataset, filtered down to 7,325 Reddit comments with 5 different basic emotion labels. In this study, data preprocessing steps, feature extraction using CountVectorizer and TF-IDF, and hyperparameter tuning using GridSearchCV for each algorithm are conducted. Subsequently, model evaluation is performed using Cross-Validation and confusion matrix. The results of the study indicate that Random Forest outperforms the XGBoost and LightGBM algorithm with an accuracy of 75.38% compared to XGBoost with 69.05% accuracy and LightGBM with 66.63% accuracy.

Co-Authors Addini Yusmar Amin Rois Angga Kurniawan Anggraini, Nenny Arif, Farid Dhiya Ul Arini Arini Arini Arini Arini Arini Ariq Cahya Wardhana Assyahid, Muhammad Hudzaifah Azhar Azhar Denny Saputra Deny Saputra Dzul Fadli Rahman Elin Haerani Fajar Nugraha Wahyu Febrian Wahyu Ramadhan Fikriansyah Martunus Fitri Insani Gustri Mulianti Hendra Bayu Suseno Herlino Nanang Husni Teja Sukmana Iik Muhamad Malik Matin Iik Muhammad Malik Matin Imam M Shofi Kahfi Del Vieri Lee Kyung Oh M. Tabah Rosyadi Matin, Iik Muhammad Malik misra hartati Muhammad Yusuf Nashrul Hakiem Nashrul Hakiem Nenny Anggraini Nenny Anggraini, Nenny Oh, Lee Kyung Okfalisa Okfalisa Okfalisa Okfalisa Rahmad Kurniawan Ramadhan, Febrian Wahyu Rizka Hafsari Saputra, David Yusup Setiawan, Rinaldi Setyawan, Okky Bagus Shofi, Imam Marzuki Shofi, Imam Marzuki Siti Atinah Siti Ummi Masruroh Syopiansyah Jaya Putra Teguh Budianto Velia Handayani Viva Arifin Yudi Setiadi Yusra, Yusra

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