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"Kajian ini berfokus pada tren topik penelitian artikel ilmiah bidang ilmu perpustakaan dan informasi serta melihat kajianbibliometrik. penelitian ini dilakukan karna pembahasan tren topik yang mengkaji tentang prosiding belum banyakdilakukan. Metode penelitian ini adalah bibliometrik dengan pendekatan analisis co-word dan analisis sitasi. Pertama,analisis co-word dilakukan untuk melihat tren topik penelitian dengan mengelompokkan kata kunci, kemudiandikelompokan berdasarkan taxonomy Hawkins. Kedua, Analisis sitasi dilakukan dengan melihat daftar pustaka untukmelihat jenis, bahasa, dan keusangan literatur. Hasil penelitian menunjukkan bahwa tren topik penelitian artikel ilmiahbidang ilmu perpustakaan yang berkembang periode 2015-2017 ialah libraries and library services dan societal issues,selain itu hasil analisis sitasi menunjukkan bahwa jenis literatur paling banyak digunakan yaitu buku (53,49%) dan jurnal(9,65%). Bahasa literatur yang disitir paling banyak yaitu Indonesia (61,08%) dan Inggris (38,00 %), sedangkan untukusia dokumen yang disitir masih relevan yaitu 0-10 tahun (63,82 %) dan 0-20 tahun (28,67%). Kesimpulan kajian iniyaitu tren topik penelitian lebih cenderung pada topik Library and Librarian Services dan Societal Issues, terdapatkeberagaman jenis literatur yang disitir, terdapat keberagaman bahasa dan tingkat keusangan dokumen yang disitir.

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ABSTRACTIntroduction, this study is discussing trends in research topics in the field of library science and information and lookingat bibliometric studies. Research and Analysis Methods, The method in this study is bibliometrics with Co-Word analysismethods and citation analysis. First, word analysis is done to look at research trends by grouping keywords, thengrouping them according to Hawkins' taxonomy. Second, the citation analysis is done by looking at the bibliography tosee the types of literature, literature, and obsolescence literature.The results and discussion, the trend of research topicsin the library scientific field that developed in the 2015-2017 period were library and library services and social problems,while the results of citations analysis showed the type of literature most widely used by book literature (53, 49%) andjournals (9.65%). The most literary languages are Indonesian (61.08%) and English (38.00%), while the age ofdocuments cited is still relevant, namely 0-10 years (63.82%) and 0-20 years (28 , 67%). Conclusions, Trends in furtherresearch topics on the topic of Libraries and Library Services and Social Issues, there is a diversity of types of literaturecited, available diversity of languages and the level of obsolescence of documents cited."

"Risiko perilaku kekerasan merupakan keadaan yang berisiko membahayakan melakukan sebuah aksi terhadap suatu perasaan terancam dimana individu mewujudkannya dengan cara melakukan tindakan mengancam, mencederai orang lain, baik secara verbal, secara fisik, emosi, seksual maupun psikologis pada diri sendiri, orang lain serta lingkungan. Tanda dan gejala risiko perilaku kekerasan membutuhkan penatalaksanaan yang sesuai. Tujuan penulisan karya ilmiah akhir ini adalah untuk memberikan gambaran penerapan Penerapan Acceptance Commitment Therapy (ACT) dan Assertiveness Training (AT) pada klien risiko perilaku kekerasan dengan menggunakan pendekatan teori Interpersonal Peplau. Sampel dalam penulisan laporan kasus ini melibatkan 5 klien dengan klien risiko perilaku kekerasan. Klien tersebut diberikan tindakan keperawatan ners oleh perawat generalis dan tindakan keperawatan spesialis berupa tindakan Acceptance Commitment Therapy CT) dan Assertiveness Training (AT) kemudian pengumpulan data menggunakan instrumen tanda gejala dan kemampuan. Hasil karya ilmiah ini menunjukkan dari setiap pertemuan terjadi penurunan tanda dan gejala serta peningkatan kemampuan klien risiko perilaku kekerasan. Berdasarkan hasil diatas Penerapan Acceptance Commitment Therapy (ACT) dan Assertiveness Training (AT) dapat direkomendasikan dilakukan di rumah sakit jiwa untuk digunakan menurunkan tanda gejala serta meningkatkan kemampuan klien risiko perilaku kekerasan dalam mengatasi masalah yang dihadapi.

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The risk of violent behavior is a situation that is at risk of endangering taking action against a feeling of being threatened where individuals manifest it by threatening actions, injuring others, either verbally, physically, emotionally, sexually or psychologically to themselves, other people and the environment. Signs and symptoms of risk of violent behavior require appropriate management. The purpose of writing this final scientific work is to provide an overview of the application of Acceptance Commitment Therapy (ACT) and Assertiveness Training (AT) to clients at risk of violent behavior using Peplau's Interpersonal theory approach. The sample in writing this case report involved 5 clients with clients at risk of violent behavior. The client is given nursing actions by generalist nurses and specialist nursing actions in the form of Acceptance Commitment Therapy (CT) and Assertiveness Training (AT) then data collection uses symptoms and abilities instruments. The results of this scientific work show that from each meeting there is a decrease in signs and symptoms and an increase in the client's ability to risk violent behavior. Based on the results above, the application of Acceptance Commitment Therapy (ACT) and Assertiveness Training (AT) can be recommended to be carried out in a mental hospital to be used to reduce symptoms and increase the ability of clients at risk of violent behavior in overcoming the problems they face"

"osttraumatic Growth adalah suatu proses bentuk adaptasi akibat adanya trauma yang menjadikan seorang individu lebih positif serta konstruktif dari hitungan hari sampai tahun. Permasalahan pada penyintas Covid-19 adanya tindakan diskriminasi, stigma, pengucilan sosial, kecemasan, depresi, perasaan bersalah, takut, marah, kelemahan otot, kesulitan tidur, gangguan penciuman, gangguan pengecapan.Tujuan penelitian kualitatif fenomenologi ini untuk mengeksplorasi Posttraumatic Growth (PTG) pada Perawat Penyintas Covid-19 di RS X Bandar Lampung. Partisipan dalam penelitian ini adalah perawat penyintas Covid-19 yang berjumlah 10 orang dengan kriteria inklusi perawat yang terkonfirmasi Covid-19 di RS X Bandar Lampung pada Oktober 2020-Desember 2021 yang sudah dinyatakan sembuh oleh dokter, perawat yang dinyatakan lolos menjadi partisipan berdasarkan dari skrining PTG dengan nilai ≥ 1, perawat yang tidak mengalami gejala PTSD , perawat yang bersedia menjadi partisipan, perawat yang bekerja di dalam pelayanan dengan minimal pendidikan D3, perawat yang sudah aktif bekerja kembali. Data dikumpulkan melalui wawancara mendalam dengan memperhatikan etika penelitian. Data yang diperoleh kemudian dilakukan analisis dengan Colaizzi. Hasil penelitian didapatkan ada 6 tema yaitu: 1) sikap perawat penyintas Covid-19 terhadap peristiwa yang membuat hati menjadi lebih tenang, 2) keinginan perawat penyintas Covid-19, 3) perubahan pola hidup dalam menjaga kesehatan, 4) dampak Covid-19 pada aspek spiritual, 5) dampak Covid-19 dalam melakukan asuhan keperawatan, 6) dampak Covid-19 pada aspek sosial. Hasil penelitian ini merekomendasikan agar fasilitas pelayanan kesehatan dapat memberikan dukungan kepada perawat penderita Covid-19 berupa skrining tingkat stres ataupun membantu masalah yang dialami perawat, sehingga apabila ada gangguan kejiwaan pada perawat dapat segera diberikan pendampingan ataupun pemberian dukungan.

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Posttraumatic Growth is a process of adaptation due to trauma that makes an individual more positive and constructive from days to years. Problems with Covid-19 survivors are discrimination, stigma, social exclusion, anxiety, depression, feelings of guilt, fear, anger, muscle weakness, difficulty sleeping, olfactory disorders, taste disorders. The purpose of this qualitative phenomenological study is to explore Posttraumatic Growth (PTG). to the Covid-19 Survivor Nurse at RS X Bandar Lampung. Participants in this study were 10 Covid-19 survivor nurses with the inclusion criteria of nurses who were confirmed to be Covid-19 at RS X Bandar Lampung in October 2020-December 2021 who had been declared cured by doctors, nurses who were declared qualified to be participants based on screening. PTG with a value of 1, nurses who do not experience PTSD symptoms, nurses who are willing to be participants, nurses who work in services with a minimum of D3 education, nurses who have been actively working again. Data were collected through in-depth interviews with regard to research ethics. The data obtained were then analyzed with Colaizzi. The results of the study found that there were 6 themes, namely: 1) the attitude of nurses who survived Covid-19 towards events that made the heart calmer, 2) the wishes of nurses who survived Covid-19, 3) changes in lifestyle in maintaining health, 4) the impact of Covid-19 on health. spiritual aspects, 5) the impact of Covid-19 in carrying out nursing care, 6) the impact of Covid-19 on social aspects. The results of this study recommend that health care facilities can provide support to nurses with Covid-19 in the form of screening stress levels or helping with problems experienced by nurses, so that if there are psychiatric disorders in nurses, they can immediately be given assistance or support."

"Skripsi ini membahas tentang pengujian kapabilitas mesin deteksi dari IDS yang dikembangkan oleh ID-SIRTII, yaitu Mata Garuda dengan menggunakan framework Pytbull dan hasilnya akan dibandingkan dengan IDS lain yang sudah banyak didistribusikan di masyarakat dan bersifat open source, yaitu Snort dan Suricata. Pada skripsi ini akan dijelaskan mengenai konsep dasar dari IDS, berbagai macam bentuk serangan yang dapat menyerang jaringan, pengujian serangan pada Mata Garuda, Snort, dan Suricata, serta analisis hasil pengujian pada ketiga IDS tersebut. Hasil pengujian menggunakan Pytbull yang dilakukan memberikan hasil bahwa akurasi deteksi Mata Garuda dan Snort secara keseluruhan (86.95%) lebih baik dibandingkan dengan Suricata (78.26%), namun dalam perbandingan ketepatan pendeteksian Suricata masih lebih unggul (73.91%) dibandingkan dengan Mata Garuda dan Snort (63.04%). Sedangkan dalam penggunaan resource CPU dan memori, Suricata lebih unggul dalam lingkungan multi core (40.67% pada core1 dan 5.39% pada core2, memori 919,917 bytes) daripada Mata Garuda (52.81% pada core1 dan 0.68% pada core2, memori 1,192,627 bytes) dan Snort (52.84% pada core1 dan 0.62% pada core2, memori 1,166,965 bytes).

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This research is concerned about the capability of detection engine from the IDS that developed by ID-SIRTII, called Mata Garuda using Pytbull framework and compared the result with the other well-known open source IDS, Snort and Suricata. This research will explain about the basic concept of IDS, some example of network attacks, penetration test to Mata Garuda, Snort, and Suricata, as well as the analysis about the result of the test from the three IDS.

The result of the test using Pytbull shows that the detection accuracy of Mata Garuda and Snort overall (86.95%) is better than Suricata (78.26%), but in the comparison of full detection ratio, Suricata (73.91%) is better than Mata Garuda and Snort (63.04%). In the comparison of CPU and memory usage, Suricata is better in multi core environment (40.67% on core1 and 5.39% on core2, memory 919,917 bytes) than Mata Garuda (52.81% on core1 and 0.68% on core2, memory 1,192,627 bytes) and Snort (52.84% on core1 and 0.62% on core2, memory 1,166,965 bytes)."

"The routine dailyactivities that tend to be sedentary and repetitive may cause severe healthproblems. This issue has encouraged researchers to design a system to detectand record people activities in real time and thus encourage them to do morephysical exercise. By utilizing sensors embedded in a smartphone, many researchstudies have been conducted to try to recognize user activity. The most commonsensors used for this purpose are accelerometers and gyroscopes; however, wefound out that a gravity sensor has significant potential to be utilized aswell. In this paper, we propose a novel method to recognize activities usingthe combination of an accelerometer and gravity sensor. We design a simplehierarchical system with the purpose of developing a more energy efficientapplication to be implemented in smartphones. We achieved an average of 95% forthe activity recognition accuracy, and we also succeed at proving that our workis more energy efficient compared to other works."

"The routine daily activities that tend to be sedentary and repetitive may cause severe health problems. This issue has encouraged researchers to design a system to detect and record people activities in real time and thus encourage them to do more physical exercise. By utilizing sensors embedded in a smartphone, many research studies have been conducted to try to recognize user activity. The most common sensors used for this purpose are accelerometers and gyroscopes; however, we found out that a gravity sensor has significant potential to be utilized as well. In this paper, we propose a novel method to recognize activities using the combination of an accelerometer and gravity sensor. We design a simple hierarchical system with the purpose of developing a more energy efficient application to be implemented in smartphones. We achieved an average of 95% for the activity recognition accuracy, and we also succeed at proving that our work is more energy efficient compared to other works."

"Pada saat ini, pengadaan suatu event untuk menarik pengguna dilakukan oleh perusahaan. Namun, hal tersebut menyebabkan lonjakan HTTP Request pada pod yang ada pada kluster. Peristiwa tersebut menyebabkan thundering herd yang berdampak ke response time yang meningkat. Pada umumnya, terdapat Horizontal Pod Autoscaler (HPA) yang digunakan untuk mengatur jumlah pod berdasarkan kebutuhan namun waktu yang dibutuhkan cukup lama. Waktu yang lama disebabkan oleh adanya pengecekan yang dilakukan oleh Readiness dan Liveness Probe. Untuk dapat membuat kluster lebih siap menghadapi suatu event, pengembang melakukan kon gurasi ulang pada HPA sebelum event dimulai. Namun, selain diperlukan pengkon gurasian pada HPA diperlukan juga pengkon gurasian terhadap Cluster Autoscaler (CA) dikarenakan pod yang dibuat HPA memiliki kemungkinan tidak aktif jika tidak terdapat node yang tersedia untuk digunakan. Karena pengkon gurasian dilakukan dengan campur tangan manusia, maka peluang human error seperti lupa atau salah hitung dapat terjadi. Maka dari itu, dalam penelitian ini akan dikembangkan sebuah aplikasi KubeEP yang dapat melakukan penjadwalan kon gurasi HPA dan pengkalkulasian banyaknya node yang dibutuhkan oleh suatu kluster pada saat event terjadi. Dampak dari aplikasi KubeEP akan diuji dengan memberikan pengujian beban kepada kluster yang telah dijadwalkan kon gurasi HPA-nya dan telah dikalkulasikan banyak node yang dibutuhkan. Pengujian dilakukan dengan membuat lonjakan HTTP Request pada saat event mulai. Hasil pengujian didapati bahwa kluster yang dilakukan penjadwalan kon gurasi serta pengkalkulasian jumlah maksimum node memiliki performa yang lebih baik. Sementara itu, kluster yang dilakukan penjadwalan kon gurasi namun jumlah maksimum nodenya hanya 2 kali lipat dari sebelumnya memiliki performa yang lebih rendah namun masih bisa memproses HTTP Request. Pada kluster yang dilakukan penjadwalan namun jumlah maksimum node nya tidak disesuaikan lagi memiliki performa yang cukup buruk, banyak sekali HTTP Request yang gagal dan memiliki response time yang tinggi. Performa yang lebih buruk didapati pada saat kluster tidak dilakukan penjadwalan dan pengkalku- lasian jumlah maksimum node yang dibutuhkan. Berdasarkan pengujian tersebut dilakukan analisis dan didapati bahwa dampak dari penjadwalan dan pengkalkulasian yang dilakukan oleh aplikasi KubeEP memberikan efek yang signi kan pada performa dan ketersediaan kluster.

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Currently, a company creates an event to attract many users. However, it causes HTTP Request spikes to cluster pods. HTTP Request spikes cause thundering herd and the result is an increase in response time. In general, there is a Horizontal Pod Autoscaler (HPA) used for managing pod count according to the needs but it takes quite a long time. The long time is due to a check carried out by Readiness and Liveness Probe. To make kluster more ready to handle the event, developer recon gures the HPA before the event starts. However, besides that con guration on HPA is also required con guration of Cluster Autoscaler (CA) because the pod that HPA creates might had a chance to not active if there are no nodes available to be used. Because the con guration is done by human intervention, the possibility of human error such as forgetting or miscalculation can occur. Therefore, in this research, a KubeEP application will be developed that can perform HPA con guration scheduling and calculating the number of nodes required by a cluster when the event occurs. The impact of KubeEP application will be tested by providing load testing to a cluster that had scheduled HPA con guration and calculated the required number of nodes. Testing is done by making HTTP Request spikes when event starts. The test results found that the cluster which had scheduled con guration and calculated the required maximum number of nodes had better performance. Meanwhile, cluster which had scheduled con guration but the maximum number of nodes is doubled the amount from before had a lower performance but it still can process the HTTP Request. In cluster which had scheduled con guration but the maximum number of nodes is not changed had a bad performance, many HTTP Requests had failed and they had high response time. Worst performance found in kluster which had no scheduling and calculation of the required amount of maximum nodes. Based on the tests, an analysis was carried out and it was found that the impact of scheduling and calculations performed by the KubeEP application had a signi cant effect on the performance and availability of the cluster"