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All Journal International Journal of Electrical and Computer Engineering Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Sistem dan Informatika JUSIFO : Jurnal Sistem Informasi Journal of Information Systems Engineering and Business Intelligence Format : Jurnal Imiah Teknik Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Eksplora Informatika CCIT (Creative Communication and Innovative Technology) Journal Jurnal Abdi Insani JUKI : Jurnal Komputer dan Informatika Jurnal Abdidas Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences International Journal Of Science, Technology & Management (IJSTM) Jurnal Locus Penelitian dan Pengabdian Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Indonesia Sosial Sains Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies Kohesi: Jurnal Sains dan Teknologi Jurnal Informatika: Jurnal Pengembangan IT Jurnal Pengabdian Masyarakat Nasional IPSSJ INOVTEK Polbeng - Seri Informatika

Fatonah, Nenden Siti

Universitas Esa Unggul

Author-ID : 1115357

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Peringkasan Teks Otomatis pada Modul Pembelajaran Berbahasa Indonesia Menggunakan Metode Cross Latent Semantic Analysis (CLSA) Sari, Yunita Maulidia; Fatonah, Nenden Siti
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 7, No 2 (2021): Volume 7 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v7i2.47768

Perkembangan teknologi yang pesat membuat kita lebih mudah dalam menemukan informasi-informasi yang dibutuhkan. Permasalahan muncul ketika informasi tersebut sangat banyak. Semakin banyak informasi dalam sebuah modul maka akan semakin panjang isi teks dalam modul tersebut. Hal tersebut akan memakan waktu yang cukup lama untuk memahami inti informasi dari modul tersebut. Salah satu solusi untuk mendapatkan inti informasi dari keseluruhan modul dengan cepat dan menghemat waktu adalah dengan membaca ringkasannya. Cara cepat untuk mendapatkan ringkasan sebuah dokumen adalah dengan cara peringkasan teks otomatis. Peringkasan teks otomatis (Automatic Text Summarization) merupakan teks yang dihasilkan dari satu atau lebih dokumen, yang mana hasil teks tersebut memberikan informasi penting dari sumber dokumen asli, serta secara otomatis hasil teks tersebut tidak lebih panjang dari setengah sumber dokumen aslinya. Penelitian ini bertujuan untuk menghasilkan peringkasan teks otomatis pada modul pembelajaran berbahasa Indonesia dan mengetahui hasil akurasi peringkasan teks otomatis yang menerapkan metode Cross Latent Semantic Analysis (CLSA). Jumlah data yang digunakan pada penelitian ini sebanyak 10 file modul pembelajaran yang berasal dari modul para dosen Universitas Mercu Buana, dengan format .docx sebanyak 5 file dan format .pdf sebanyak 5 file. Penelitian ini menerapkan metode Term Frequency-Inverse Document Frequency (TF-IDF) untuk pembobotan kata dan metode Cross Latent Semantic Analysis (CLSA) untuk peringkasan teks. Pengujian akurasi pada peringkasan modul pembelajaran dilakukan dengan cara membandingkan hasil ringkasan manual oleh manusia dan hasil ringkasan sistem. Yang mana pengujian ini menghasilkan rata-rata nilai f-measure, precision, dan recall tertinggi pada compression rate 20% dengan nilai berturut-turut 0.3853, 0.432, dan 0.3715.

Automatic Leukemia Cell Counting using Iterative Distance Transform for Convex Sets Nenden Siti Fatonah; Handayani Tjandrasa; Chastine Fatichah
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

The calculation of white blood cells on the acute leukemia microscopic images is one of the stages in the diagnosis of Leukemia disease. The main constraint on calculating the number of white blood cells is the precision in the area of overlapping white blood cells. The research on the calculation of the number of white blood cells overlapping generally based on geometry. However, there was still a calculation error due to over segment or under segment. This paper proposed an Iterative Distance Transform for Convex Sets (IDTCS) method to determine the markers and calculate the number of overlapping white blood cells. Determination of marker was performed on every cell both in single and overlapping white blood cell area. In this study, there were tree stages: segmentation of white blood cells, marker detection and white blood cell count, and contour estimation of every white blood cell. The used data testing was microscopic acute leukemia image data of Acute Lymphoblastic Leukemia (ALL) and Acute Myeloblastic Leukemia (AML). Based on the test results, Iterative Distance Transform for Convex Sets IDTCS method performs better than Distance Transform (DT) and Ultimate Erosion for Convex Sets (UECS) method.

Conformance Checking of Dwelling Time Using a Token-based Method Bambang Jokonowo; Nenden Siti Fatonah; Emelia Akashah Patah Akhir
Journal of Information Systems Engineering and Business Intelligence Vol. 7 No. 2 (2021): October
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.7.2.129-137

Background: Standard operating procedure (SOP) is a series of business activities to achieve organisational goals, with each activity carried to be recorded and stored in the information system together with its location (e.g., SCM, ERP, LMS, CRM). The activity is known as event data and is stored in a database known as an event log.Objective: Based on the event log, we can calculate the fitness to determine whether the business process SOP is following the actual business process.Methods: This study obtains the event log from a terminal operating system (TOS), which records the dwelling time at the container port. The conformance checking using token-based replay method calculates fitness by comparing the event log with the process model.Results: The findings using the Alpha algorithm resulted in the most traversed traces (a, b, n, o, p). The fitness calculation returns 1.0 were produced, missing, and remaining tokens are replied to each of the other traces.Conclusion: Thus, if the process mining produces a fitness of more than 0.80, this shows that the process model is following the actual business process. Keywords: Conformance Checking, Dwelling time, Event log, Fitness, Process Discovery, Process Mining

Penerapan Deteksi Bencana Banjir Menggunakan Metode Machine Learning Nenden Siti Fatonah
FORMAT Vol 10, No 2 (2021)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2021.v10.i2.002

Bencana alam dapat di definisikan sebagai sebuah kejadian yang tidak terduga terjadi nya, hal tersebut sering terjadi di Indonesia terutama bencana banjir yang terjadi dalam kurun waktu 5 tahunan namun akhir-akhir ini bencana banjir tersebut sudah dapat dirasakan hampir setiap tahun di beberapa bagian wilayah di indonesia. Banjir dapat diartikan sebagai suatu kejadian yang hadir dengan tiba-tiba secara cukup cepat di mana tidak tertampungnya debit air dalam saluran pembuangan (palung sungai) atau terhambatnya aliran debit air yang menuju ke laut di dalam saluran pembuangan, sehingga daerah yang terhambat dengan debit air mengakibatkan meluapnya debit air pada saluran penampungan pada beberapa daerah sekitarnya dan merupakan salah satu bencana alam yang terjadi dengan waktu yang tak terdugaÂ tidak dapat dicegah, karena hal tersebut maka perlu diupayakan sebuah penerapan untuk mendeteksi bagaimana dapat menanggulangi bencana banjir untuk tahun-tahun selanjutnya untuk mengurangi dampak kerugian yang diakibatkannya bagi populasi manusia. Pada penelitian ini dilakukan bagaimana dapat mendeteksi bencana banjir yang telah terjadi di bulan sebelumnya agar pada tahun ini dan tahun selanjutnya pihak yang terkait dan masyarakat sekitar daerah tersebut dapat mengetahui seberapa besarnya dampak bencana banjir yang akan terjadi. Penelitian kali ini menggunakan metode Data Mining dengan algoritma yang digunakan adalah algoritma NaÃ¯ve Bayes. Hasil yang di hasilkan dalam penelitian ini adalah 76,73% dengan menggunakan algoritma NaÃ¯ve Bayes untuk ke accuracyan nya. Namun tools yang digunakan belum mampu memprediksi hari terjadinya bencana banjir.

Evaluation of the Implementation of E-Government Public Service Aduan Konten Using E-Govqual, Importance Performance Analysis and Heuristic Evaluation (case study: Ministry of Communication and Information, APTIKA directorate) Nila Rusiardi Jayanti; Gerry Firmansyah; Nenden Siti Fatonah; Budi Tjahjono; Habibullah Akbar
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i3.6640

In the current condition of society that is critical in responding to everything, more public services are needed professional, effective, simple, transparent, timely, responsive. Efforts to improve the quality of public services cannot be separated from service evaluation. In order to improve the quality of public services, the Directorate General of Informatics Applications of the Ministry of Communications and Informatics established the Public Service for Aduan konten at the Directorate of Information Application Control (PAI) as a pilot project. So to evaluate the quality of public services, a bureaucratic reform program is carried out at the PAI Directorate through efforts to develop a zone of territorial integrity free from corruption and a clean bureaucratic area to serve. One of the evaluations carried out is for measuring service performance as mandated in the Regulation of the Minister of Administrative Reform Number 14 of 2017 concerning the Community Satisfaction Survey (SKM) on the Implementation of Public Services. This study aims to determine the service quality of the Content Complaint website using the e-Govqual method, while the IPA and heuristic evaluations are to determine the attributes that are priorities for improving service quality, as recommendations to public service providers for Aduan konten. To assess the service quality of the content complaint website, 6 dimensions and 21 e-Govqual attributes are used. Of the 300 respondents who were used as research samples, this study shows the results of the analysis of the level of conformity of the 6 dimensions are 98.03% (<100%) meaning that the public services provided by the Aduan konten website are not satisfactory to users or still not in accordance with user expectations. The result of the average value of the gap between expectations and performance shows the number -0.05 or < 0. With this gap, it can be said that the quality of public service performance of Aduan konten perceived by the public still does not meet what is expected. Attributes that need improvement are those in quadrant A (3 attributes) and quadrant C (8 attributes). Recommendations are given based on the literature/theory for attributes that need to be improved to improve the quality of public services for Aduan konten.

Pelatihan Pembuatan Video Pembelajaran Berbasis Multimedia dengan Metode Community Based Participatory Action Research (CBPAR) Diah Aryani; Syahrizal Dwi Putra; Noviandi Noviandi; Nenden Siti Fatonah; Hani Dewi Ariessanti; Habibullah Akbar
Jurnal Abdidas Vol. 3 No. 6 (2022): December Pages 944 - 1124
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdidas.v3i6.728

Media pembelajaran merupakan salah satu komponen yang perlu ada dalam rencana pembelajaran, media pembelajaran yang berhasil adalah yang dapat mengubah perilaku peserta didik (behavior change) serta meningkatkan hasil belajar peserta didik tertentu. Keberhasilan penggunaan media pembelajan tidak terlepas dari bagaimana media itu direncanakan dengan baik. Penggunaan media yang efektif diperlukan analisis yang komprehensif dengan memperhatikan berbagai aspek, antara lain tujuan, kondisi peserta didik, fasilitas pendukung, waktu yang tersedia, dan kemampuan guru untuk menggunakannya dengan tepat. Permasalahan yang ada saat ini adalah kurangnya pengetahuan dan kemampuan para guru SMPIT Insan Rabbani dalam penggunaan dan pemanfaatan media pembelajaran berbasis multimedia merupakan media pembelajaran yang memanfaatkan penggabungan antara gambar, suara atau audio, dan video. Tujuan pelaksanaan pengabdian kepada masyarakat ini adalah untuk pengenalan dan pelatihan terkait pembuatan video pembelajaran dengan menggunaan aplikasi camtasia sebagai upaya untuk menggunakan media pembelajaran yang lebih efektif dalam rangka meningkatkan minat belajat siswanya. Kegiatan pengabdian kepada masyarakat ini pelaksanaannya menggunakan metode Community Based Participatory Action Research (CBPAR). Hasil kegiatan ini menunjukan peningkatan pemahaman pengetahuan dan ketrampilan sebesar 38% tentang aplikasi Camtasia penting bagi para guru untuk meningkatkan kompetensinya dalam membuat media pembelajaran berbasis multimedia sebagai upaya meningkatkan minat belajar siswa.

Modification of IDTCS Method for Touching Leukemia Cell Grouping Nenden Siti Fatonah; Chastine Fatichah; Handayani Tjandrasa
Journal Research of Social Science, Economics, and Management Vol. 1 No. 8 (2022): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Morphological analysis and calculation of the number of white blood cells on microscopic images are stages in diagnosing leukemia. Constraints in developing a system for diagnosing leukemia are white blood cell segmentation and counting of the number single cells in touching cell. We propose to modify the Iterative Distance Transform For Convex Sets (IDTCS) method to separate the touching leukemia cells. The IDTCS method is used to determine markers for each cell in touching cells. The marker results from the IDTCS method are used as cell centroids and the next process is pixels clustering based on the nearest cell centroid using the euclidean distance function. The data used are microscopic images of Acute Lymphoblastic Leukemia (ALL). The experimental results show that using modified IDTCS method for clustering produces better accuracy compared to the K-Means clustering and Watershed methods.

Penerapan Metode Cosine Similarity Dalam Mendeteksi Plagiarisme Pada Jurnal Sarima Lumbansiantar; Saruni Dwiasnati; Nenden Siti Fatonah
FORMAT Vol 12, No 2 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2023.v12.i2.007

Abstrak – Plagiarisme merupakan perilaku pencurian ide atau gagasan orang lain tanpa menyebutkan sumber aslinya. Kasus plagiarisme semakin lama semakin banyak nampaknya sudah membudaya dalam kehidupan masyarakat khususnya dibidang karya tulis ilmiah dalam dunia akademisi. Ketersediaan jurnal online yang memberikan kenyamanan kepada para pembacanya menjadi manfaat utamanya, akan tetapi potensi plagiarisme dan perilaku terkait plagiarisme adalah kelemahan utamanya. Metode Cosine Similarity merupakan salah satu metode yang dapat digunakan untuk mendeteksi plagiarisme pada teks. Metode ini didasarkan pada perhitungan sudut antara dua buah objek yang dinyatakan dalam dua buah vektor. Obyek yang digunakan dalam penelitian ini adalah abstrak jurnal online. Total sebanyak 100 data jurnal online yang digunakan untuk penelitian ini yang diperoleh dari situs-situs penerbit jurnal ilmiah. Tahapan yang dilakukan sebelum perhitungan Cosine Similarity adalah pre-processing dengan tujuan untuk menghilangkan inkonsistensi pada data. Berdasarkan hasil penelitian bahwa metode cosine similarity dapat mendeteksi plagiarisme pada dokumen jurnal dengan menghitung persentase kemiripan antara dokumen repositori dengan dokumen uji.

Data Interoperability Model in Integrated Public Service Applications Based on Government Service Bus (Case Study: Tangerang Regency Communication and Information Office) Dudy Fathan Ali; Nenden Siti Fatonah; Gerry Firmansyah; Habibullah Akbar
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.877

The Tangerang Regency Government, as part of its digital transformation efforts, has been working to enhance public services through the development and implementation of e-Government initiatives. This research aims to conduct an in-depth analysis of data interoperability service modeling in e-Government applications based on Web Services using the Government Service Bus (GSB). The study will address the advantages and challenges associated with using the Government Service Bus, and provide practical recommendations for implementing the Government Service Bus as an effective application integration solution. COBIT 2019 is used as an assessment tool for the current condition. The research results reveal that a total of 138 applications have been identified, with 74 of them being public service applications. While 80% of the public service sector has been incorporated into integrated public service applications, their utilization remains limited. The current capability level of APO11 is at level 1, with an expected level of 2. Similarly, APO14 is at level 1, expected to reach level 2, and MEA01 is at level 0, with an expected level of 2. The author has proposed a data interoperability model that can be implemented within the Tangerang Regency Communication and Information Office, utilizing GSB as the middleware for interoperability processes, particularly for public service applications. Based on the proposed data interoperability model, the author also concludes that with its implementation, the Communication and Information Office will be able to address a significant portion of the technical recommendations derived from the gap analysis, although not necessarily all of them.

Disaster Recovery Plan Analysis Based on the NIST SP 800-34 Framework (Case Study: PT Wijaya Karya (Persero) Tbk.) Eric Dwi Pamungkas; Nenden Siti Fatonah; Gerry Firmansyah; Habibullah Akbar
Jurnal Indonesia Sosial Sains Vol. 4 No. 09 (2023): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v4i09.879

PT Wijaya Karya (Persero) Tbk. (WIKA) is a state-owned company engaged in the construction sector and EPC is currently developing its business in the mining and investment sectors both at home and abroad. Information Technology is one of the supports to achieve its goals. The use of Information Technology is urgently needed by WIKA in order to increase the effectiveness and efficiency of the company's operational activities. In this regard, it is necessary to develop procedures for managing information technology resources to support WIKA's business continuity, which includes services for internal or external users. In the use of information technology, the Disaster Recovery Plan (DRP) is an important part of IT services in efforts to prevent Data Center Fail-Over caused by disasters. With the DRP procedure, it is expected that the Information Systems Bureau as the manager of WIKA's information technology can immediately anticipate if a Disturbance or Disaster occurs that has the potential to disrupt a large number (the majority) of processes or activities that are very critical for business continuity. This Disaster Recovery Plan is guided by the NIST SP 800-34 framework which begins with identifying and assessing risk, Business Impact Analysis (BIA), identification of preventive controls and preparation of contingency strategies.

Co-Authors Agung Mulyono Widodo Agustin, Yolanda Akbar, Habibullah Alvin Rayhan Andriyanti Asianto Anisa Aulia Arya Bintang Setiawan Asianto, Andriyanti Audry Safrina Zahra Aulia, Anisa Bambang Jokonowo Budi Tjahjono Chastine Fatichah Dandy Pramana Hostiadi Diah Aryani, Diah Dodo, La Dudy Fathan Ali Dwi Pamungkas, Eric Emelia Akashah Patah Akhir Eric Dwi Pamungkas Eva Hariyanti Fajar Astuti Hermawati Farhana, Sajida Fathan Ali, Dudy Gajah, Sulastri Gerry Firmansyah Handayani Tjandrasa Hani Dewi Ariessanti Haryoto, Iin Sahuri Irene Realyta Halldy Trosi Tangkawarow KHOIRUL ANAM Kusuma, Galih Adhi La Dodo Leodionis Mangambali, Hermawan Ali Maulana, Syaban Mochamad Welly Rosadi Mohammad Yazdi Pusadan Nila Rusiardi Jayanti Noviandi Noviandi Noviandi Noviandi, Noviandi Pamungkas, Ryan Tri Putra, Syahrizal Dwi Putri, Rani Aprillya Rahmawati, Wina Rosnanto, Imam Rosya, Ernalinda Sabri Alim Sari, Yunita Maulidia Sarima Lumbansiantar Saruni Dwiasnati Sea, Rona Aulia Wangsa Setiaji, Willian Rossa Suhendry, Mohammad Roffi Widodo, Agung Mulyo Widodo, Agung Mulyono Yusvita, Ferdania

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