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All Journal Jurnal Sosioteknologi Indonesia Symposium on Computing Indonesian Journal on Computing (Indo-JC) IJoICT (International Journal on Information and Communication Technology) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Journal of Computer Science and Informatics Engineering (J-Cosine) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) Charity : Jurnal Pengabdian Masyarakat KLIK: Kajian Ilmiah Informatika dan Komputer Prosiding Konferensi Nasional PKM-CSR eProceedings of Engineering

Anisa Herdiani

Telkom University

Author-ID : 731796

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

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ANALISIS KLASIFIKASI SENTIMEN DAN PERINGKASAN PADA REVIEW PRODUK MENGGUNAKAN METODE UNSUPERVISED Muhammad Husein Adnan; Warih Maharani; Anisa Herdiani
Indonesia Symposium on Computing Indonesia Symposium on Computing (IndoSC) 2016
Publisher : Indonesia Symposium on Computing

Show Abstract | Download Original | Original Source | Check in Google Scholar

Peningkatan transaksi e-commerse telah membuat para pelaku pasar mengalihkan proses jual-beli ke arah modernisasi melalui internet. Banyak Website penyedia layanan jual-beli online yang bermunculan hingga memudahkan juga bagi konsumen untuk mengutarakan opininya mengenai produk yang dia beli serta produsen dalam mengetahui opini konsumen tersebut. Sayangnya opini mengenai review suatu produk yang dijumpai, jumlah nya sangat banyak dan menyulitkan untuk ditarik kesimpulan. Pada penelitian ini dilakukan analisis untuk membuat sebuah sistem yang dapat memberikan klasifikasi dan ringkasan atas review produk tersebut. Review tehadap suatu produk, umumnya tidak hanya kepada produk itu sendiri namun lebih banyak kepada fiturfiturnya. Untuk itu dilakukan juga analisis untuk dapat mengambil fitur-fitur dari produk dan kata opininya menggunakan metode Noun Phrase Chunking dan Double Propagation. Klasifikasi ditingkat aspek dilakukan untuk menentukan opiniâopini pada review produk kedalam opini positif dan negatif. Ada banyak metode untuk melakukan klasifikasi tersebut, pada penelitian ini digunakan metode Unsupervised berbasis kesamaan polarity pada setiap kata opini yang muncul bersamaan yang dihubungkan dengan sebuah konjungsi âandâ yang mampu memberikan orientasi opini dengan tepat.

Lexicon-Based Sentiment Analysis of Indonesian Language Student Feedback Evaluation Raginda Firdaus; Ibnu Asror; Anisa Herdiani
Indonesia Journal on Computing (Indo-JC) Vol. 6 No. 1 (2021): April, 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2021.6.1.408

Student feedback for lecturer plays an important role, it used to improve the quality of lecturer in teaching. In general, student feedback consists of two types, quantitative feedback and qualitative feedback. For quantitative feedback, it can easily analyze using statistical calculations, because it contains closed questions with multiple choices. But for qualitative feedback, it is difficult to analyze, because it contains open questions with essay answers. Lecturers can analyze manually, but it takes extensive times and the results can be very subjective. To overcome this problem, sentiment analysis is applied to analyze textual data automatically in order to improve teaching evaluations. This research uses student feedback as dataset, and lexicon approach with InSet Lexicon. In this research, the evaluation result shows that system accuracy is 90.9%.

Pengukuran Customer Satisfaction Index Implementasi Mobile Version Portal Wisata Garut Anisa Herdiani
Charity : Jurnal Pengabdian Masyarakat Vol 3 No 2 (2020): Charity - Jurnal Pengabdian Masyarakat
Publisher : PPM Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/charity.v3i2.2516

Kabupaten Garut merupakan daerah dengan berbagai destinasi wisata yang menarik dikunjungi wisatawan baik dari dalam maupun luar negeri. Hingga saat ini Dinas Pariwisata Kabupaten Garut telah memiliki portal wisata berbasis web yang dikembangkan bersama dengan Universitas Telkom. Portal wisata tersebut mengakomodasi informasi tempat pariwisata, tempat menginap, produk atau layanan jasa yang ditawarkan, serta fitur informasi wisata halal yang tentunya sangat penting diketahui oleh wisatawan muslim. Portal wisata kemudian perlu dikembangkan lebih lanjut agar dapat lebih mudah dijangkau oleh calon wisatawan yang mengakses informasi melalui perangkat mobile. Portal versi mobile dikembangkan dengan teknologi PWA (Progressive Web Application) sehingga user dapat merasakan experience penggunaan aplikasi mobile tanpa perlu mengunduh aplikasi untuk mengakses informasi yang ada di dalam portal wisata. Untuk mengukur tingkat kepuasan pengguna informasi terhadap portal wisata yang sudah dibangun, dilakukan evaluasi yang menghasilkan Customer Satisfaction Index (CSI). Hasil evaluasi menunjukkan CSI yang dicapai oleh portal yang sudah dibangun yaitu sebesar 90,5% dengan interpretasi Sangat Baik.

IMPLEMENTASI ALAT PENGUPAS DAN PENYARING KULIT ARI KACANG KEDELAI UNTUK MENINGKATKAN KAPASITAS PRODUKSI TEMPE CV. MITRA PANGAN SEJAHTERA, BANDUNG erna febriyanti; Agus Kusnayat; Shinta Yulia Puspitasari; Anisa Herdiani; Mohammad Yasin Abdul Hafidh; Indra Lukmana Sardi; Sri Martini
Charity : Jurnal Pengabdian Masyarakat Vol 2 No 1 (2019): Charity - Jurnal Pengabdian Masyarakat
Publisher : PPM Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/charity.v2i1.2122

Mitra Pangan Sejahteramerupakan usaha mikro kecil dan menengah (UMKM)di Karang Pamulang, Mandalajati, Kota Bandung, Jawa Barat yang bergerak dibidang produksi tempe. Saat ini CV. Mitra Pangan Sejahtera berharap untuk bisa mengolah 1 ton kedelai setiap harinya guna memenuhi kebutuhan konsumen. Namun, dalam proses produksi tempe ada beberapa proses yang memakan waktu. Salah satunya pada proses pemisahan kulit ari dari kacang kedelai. Proses pemisahan kulit dan kacang kedelai yang dilakukan selama ini adalah dengan pengadukan dan penyaringan secara manual menggunakan tangan dan bantuan ayakan bambu sederhana. Cara ini hanya efektif untuk jumlah yang kecil, yaitu sekitar 4 kuintal/hari. Untuk meningkatkan kemampuan produksi tempe, proses pemisahan tersebut harus dikembangkan. Dengan adanya mesin pengupas kulit ari maka tidak banyak tenaga yang diperlukan dan proses pemisahan kulit dari kacangnya dapat dilakukan lebih cepat sehingga meningkatkan produktifitas dan efisiensi.

Identifikasi Cyberbullying pada Kolom Komentar Instagram dengan Metode Support Vector Machine dan Semantic Similarity Lintani Afina Hajar Raudhoti; Anisa Herdiani; Ade Romadhony
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 4 No 1 (2020): June 2020
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Instagram is a popular social media platform where users can share photos and videos, and also post comments on other users postings. Although there are many benefits on sharing information and posting comments, the freedom of using a social media platform also has a negative effect. One of non-constructive actions performed by social media users is cyberbullying, a misuse of technology through social media to embarrass or threaten others. Cyberbullying could affect the social media users, especially the target victim, hence we have to build a system that can limit the negative posts. In this research, we tackle the cyberbullying detection on Instagram comments as a classification problem and employ the SVM classifier. As a supervised machine learning approach, the SVM method has limitation on processing new words that never found in the training data. Therefore, we employed a semantic information derived from pre-trained word embeddings to gather similar words that appear in the training data to substitute the unknown words in the testing data. The experimental results show that the use of semantic similarity information improve the classification accuracy by 7%, from 67% to 74%.

Improving the Usability User Experience of Peduli Lindungi Application based on Heuristic Evaluation Erlina Wahyu Fadhilah; Anisa Herdiani; Ati Suci Dian Martha
Journal of Information System Research (JOSH) Vol 4 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Peduli Lindungi is an application developed to help relevant government agencies in tracking to stop the spread of COVID-19. Peduli Lindungi is expected to help the government in the tracking process to facilitate the detection of the reach of COVID19. However, over time, many complaints about the user experience written by users in the App Store and Play Store applications. This study uses the Heuristic Evaluation method to analyze usability. This method is used to get an evaluation of the shortcomings of usability. In this study, it was found that the usability of the Peduli Lindungi Application was good enough. However, there are still aspects that require improvement. This aspect is the Flexibility and Efficiency of Use with a severity rating of 3.8 and Aesthetic and Minimalist Design with a severity rating of 3.4. So that design improvements are made based on these aspects. The test was carried out and found that the Flexibility and Efficiency of Use had a severity rating of 1.5. While Aesthetic and Minimalist Design with a severity rating of 2.6. It is concluded that the design is better than before.

Evaluation UX Design on GGWP Tourney Application Using HCD and Heuristic Evaluation Methods Heri Setyo Nugroho; Anisa Herdiani; Rosa Reska Riskiana
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i4.2168

The rapid developments in technology make the information spread faster, especially in the electronic sports industry (eSports). Game tournament information is essential to gamers since they strive to obtain accurate and easy-to-understand information about esports. The GGWP Tourney application is a mobile application that provides information and means to purchase e-sports competitions online. However, the GGWP Tourney application is still in the development stage so there are still many user experience problems, especially in the usability and journey of the application. Therefore, analysis and evaluation of the usability of the GGWP Tourney application are carried out so that it is in accordance with what users expect. In this study, usability evaluation was carried out using Heuristic Evaluation as a method of evaluating usability values and designing solutions using the Human Centered Design (HCD) method according to user perceptions based on the results of the evaluation carried out. The evaluation has been carried out in two stages, namely the initial stage and the stage after designing the solution design. The results of the initial evaluation found 12 problems and the severity rating value had an average greater than 2 so improvements were made to the application user interface. While the second evaluation stage in the solution design shows the number of problems found only 3 and the severity rating value is less than 2 so that no further repairs are carried out. Based on these results, the heuristic evaluation method can reduce the number of problems in the GGWP Tourney application from 13 problems to 3 remaining problems. This methods be used to determine the usability value of an application that can be used to improve the user experience of the application.

Implementation of User Centered Design on Interface Design for Mental Health Selfcare Services Rizky Wira Pranata; Anisa Herdiani; Aristyo Hadikusuma
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4540

Mental health is essential in performing maximum activities. During the COVID-19 pandemic that is spreading all over the world. Some activities are transformed into a new activity called "New Normal". With these new activities, the level of mental health in Indonesia has deteriorated. WHO as a world health organization made a mental health pyramid that handling of every level of mental health. There are 4 levels, which are promotive, preventive, monitoring and identifying psychosocial services, and specialist services. In the results of observations and analysis, digital-based services in Indonesia prioritize levels 3 and 4, while levels 1 and 2 are still infrequent, and the application is still not perfectly weighted. This study will design a mental health application by emphasizing level 1 and 2 treatment, namely self-care and storytelling sessions using the User Centered Design method, and the results of the evaluation used the usability testing method and the usability scale system. With this research, potential users obtain an interface resolution with a mood tracker, self-care, and storytelling features that users desire. By helping the user to perceive the history of the condition, getting self-care and storytelling rooms according to the user's condition, and helping the user's condition to bolster up and not add to the burden of the user's condition. The outcome of the evaluation that has been done, results that the average user completed each task for 16.59 seconds, the average result is 0 miss click and 0 miss click page, and the results from the System Usability Scale are 81.51 with the "Excellent" category, with the composition of solutions provided to answer user problems.

Capturing Students’ Dynamic Learning Pattern Based on Activity Logs Using Hierarchical Clustering Kusuma Ayu Laksitowening; Made Diva Prasetya; Dawam Dwi Jatmiko Suwawi; Anisa Herdiani
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 1 (2023): February 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i1.4655

Students can have various characteristics and learning patterns. By understanding the characteristics and learning pattern of individual students, teachers can provide individualized learning strategies based on students' needs. Students' learning patterns may experience changes depending on their conditions during the learning process. If the learning pattern analysis is only run once, then the progress and changes in student learning patterns throughout the learning process cannot be recognized. On the other hand, periodical analysis is expected to describe the dynamics of student learning patterns from time to time. This research is intended for capturing students' dynamic learning pattern using Hierarchical Clustering. We clustered the learning patterns based on Learning Management Systems (LMS) activity logs. The activity log data were partitioned into several periodical datasets. The results of the periodic clustering indicated that students’ learning patterns varied from one another and changed from time to time. Most students experienced change in learning patterns throughout the semester. The analysis also indicated that learning pattern also has the potential to be improved and maintained.

REDESIGNING USER INTERFACE OF TEMAN BUS APPLICATION USING GOAL-DIRECTED DESIGN Yogi Putra Prastiawan; Veronikha Effendy; Anisa Herdiani
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 8, No 1 (2023)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v8i1.3333

In these modern era, it is very easy to create an investment portfolio, an investment portfolio can be formed by buying a shares. By creating portfolio investation, our can expect score return which makes it an advantage. However, there is also a risk value that will be obtained when buy shares. In the formation of an investment portfolio for active investors, it is expected to create an optimal investment portfolio, there are many models that can be used to create an optimal investment portfolio. In this final project, will discusses the use of the Black-Litterman Model in optimizing portfolios for active investors. The Black-Litterman model is one of the models that can be used to optimize the investment portfolio, the Black-Litterman model provides additional information for the return and risk values based on the views of experts. This model builds on the MV and CAPM using a Bayesian framework that allows investors to effectively incorporate their views of the market into the allocation process asset. Based on several tests that have been carried out during the research with different days, the value of the investor's view will always be different every day, the value of an optimistic view will have a good impact on the stock, even though the stock price is falling, if the investor's view is expressed optimism, the weight of the shares will remain high.

Co-Authors Ade Romadhony Adila , Ahmad Fasya Agus Kusnayat Alfian Yulianto Amanda Putri Septiani Andy Satria Aniq Rohmawati Aprillia Rizki Adiati Aristyo Hadikusuma Aryasatya Okta Pradhana Asep Aprianto Ati Suci Dian Martha Aufa Bil Ahdi P Bastomy Bastomy Bety Elysabeth Pasaribu Briliand, Diaz Wahyu Dadang Setiawan Daffa Dhiya Ulhaq Dana Sulistyo Kusumo Danang Junaedi David Winalda Dawam Dwi Jatmiko Suwawi Dhiyaul Haq, Rafif Zhafir Dimas Ikhsanu Fitra Dimitri Mahayana Diyas Puspandari Emil R. Kaburuan Erdiansyah, Muhammad Farras Erlina Wahyu Fadhilah erna febriyanti Fajri, Fikri Muhammad Farah Rahmadiani Gede Agung Ary Wisudiawan Hanifah, Wardah Heri Setyo Nugroho HNW Syahuda Nahatmasuni Ibnu Asror Ika Rahayu Ponilan Imelda Atastina Indra Lukmana Sardi Indriani Mentaruk Intan Widya Rahayu Irvan Dwi Putra Manurung Jahtra Genio Muhammad Jatmiko, Dawam Dwi Junaedi , Danang Kemas Muslim Lhaksmana Kemas Rahmat Saleh Wiharja Laksitowening, Kusuma Ayu Lintani Afina Hajar Raudhoti Lulu Alfiâ€™a Rahma Ningsih Luthfi Shidqi Made Diva Prasetya Martania Triana Dewi Mochammad Fitrah Eka Pramudita Mohammad Yasin Abdul Hafidh Monterico Adrian Muhamad Fauzan Putra Muhammad Arifino Setyawan Muhammad Faris Adri Azka Muhammad Hanafiah Muhammad Husein Adnan Muhammad Johan Alibasa Muhammad Reza Rahmawan Muhammad Rizky Riandi Gunaedi Nadine Azhalia Purbani Nungki Selviandro Nur Muhammad Putra Setiadi Nurmasyitah Nurmasyitah Pasha, Zaky Mahfudz Puput Fajriati Tri S Raginda Firdaus Ridea Valentini Peristiwari Siwabessy Rizaldy Arigi Rizky Dhian Syarif Rizky Wahyu Kurniawati Rizky Wira Pranata Rosa Reska Riskiana Sakti Dewantoro Saputra, Aulia Kukuh Shinta Yulia Puspitasari Sri Martini Tiara Fitri Berlian Trysha Cintantya Dewi Veronikha Effendy Warih Maharani Widi Astuti Widowati , Sri Yodie Dalyono Yogi Putra Prastiawan Yuni Dwiyanti Yusep Rosmansyah Zaid Mukhtar ZK Abdurahman Baizal

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