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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal Informatika dan Teknik Elektro Terapan Jurnal IPTEK Jurnal Sistem Informasi dan Bisnis Cerdas JURNAL INSTEK (Informatika Sains dan Teknologi) Prosiding Seminar Nasional Sains dan Teknologi Terapan JURNAL TEKNOLOGI DAN OPEN SOURCE Data Science: Journal of Computing and Applied Informatics Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal IJEEIT : International Journal of Electrical Engineering and Information Technology Applied Technology and Computing Science Journal Journal of Information Systems and Informatics Abdimas Universal bit-Tech Jurnal Teknologi Dan Sistem Informasi Bisnis Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) JATI (Jurnal Mahasiswa Teknik Informatika) International Journal of Advances in Data and Information Systems Jifosi Nusantara Science and Technology Proceedings KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Penelitian Inovatif Konstelasi: Konvergensi Teknologi dan Sistem Informasi PELS (Procedia of Engineering and Life Science) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Mesin, Industri, Elektro dan Informatika Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII Jurnal Ilmiah Teknik Informatika dan Komunikasi Madani: Multidisciplinary Scientific Journal Scientica: Jurnal Ilmiah Sains dan Teknologi Student Research Journal Jurnal Informatika Polinema (JIP) Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal ilmiah teknologi informasi Asia
Amalia Anjani Arifiyanti
Universitas Pembangunan Nasional “Veteran” Jawa Timur
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ANALISA SEGMENTASI KONSUMEN MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING Sulistyowati Sulistyowati; Basma Eno Ketherin; Amalia Anjani Arifiyanti; Anwar Sodik
Prosiding Seminar Nasional Sains dan Teknologi Terapan Pendekatan Multidisiplin Menuju Teknologi dan Industri yang Berkelanjutan
Publisher : Institut Teknologi Adhi Tama Surabaya

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

Abstract

Segmentasi konsumen adalah sebuah strategi yang dilakukan dengan membagi konsumen menjadi kelompok-kelompok konsumen yang berbeda yang memiliki karakteristik, perilaku, atau kebutuhan yang berbeda. Segmentasi konsumen ini penting karena dapat digunakan sebagai data pendukung untuk menentukan strategi pemasaran yang efektif dan efisien bagi supervisor marketing dalam kegiatan promosi penjualan produk. Untuk menentukan segmentasi konsumen, dilakukan dengan clustering yaitu dengan cara mengelompokkan data berdasarkan karakterisrik konsumen. Sehingga pada penelitian ini, proses clustering dilakukan dengan cara mengelompokkan data konsumen berdasarkan tiga atribut yaitu, jenis motor,jenis pembelian dan pekerjaan. Data yang digunakan adalah data penjualan sepeda motor pada dealer Honda. Proses pengelompokan konsumen dilakukan dengan menggunakan Algoritma K-Means. Algoritma ini bekerja dengan cara membagi data dalam k cluster. Setiap cluster ditentukan atas kedekatan jarak tiap?tiap data dengan titik tengahnya (mean point). Dari hasil perbandingan aplikasi dengan menggunakan software SPSS diperoleh hasil selisih dari masing-masing cluster dengan jumlah rata-rata 7%. Hal ini disebabkan karena centroid awal yang dipilih secara acak.
Marketing Improvement through Online Marketplace Usage Training for Micro-Business in Jati Village, Tuban Amalia Anjani Arifiyanti; Nurjanti Takarini; Rohmatul Faizah; Anajeng Esri Edhi Mahanani
Nusantara Science and Technology Proceedings 4th International Seminar of Research Month
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2019.0415

Abstract

Internet access in Indonesia currently covers many parts of Indonesia. These developments are now progressing rapidly with the use of smartphones by the Indonesian people. With the ease of internet access and the high usage of electronic gadgets, they will supports in various activities carried out by the community. These kinds of activities included in buying and selling transactions. This online transaction is not restricted by region and time. The online transaction can be through an online marketplace. One of familiar online marketplace in Indonesia is Tokopedia. The communities in Jati Village, Soko, Tuban where the majority of the people owns micro businesses can sell their product through this platform. Selling through this platform has many advantages, such us this platform provide free service for seller and this platform has a high number of users in Indonesia. Because of that reason, the training Tokopedia seller for micro-business owner in Jati village was held. The result of this training expected that micro-business owner can sell their product through this platform. This will help them for marketing their products more easily and have wider customer coverage. In this training, as many as twenty four micro-business owners attended and participated in the training actively and enthusiastically.
Feature Extraction for Sentiment Analysis in Indonesian Twitter Eka Dyar Wahyuni; Amalia Anjani Arifiyanti; Mohamad Irwan Afandi
Nusantara Science and Technology Proceedings 5th International Seminar of Research Month 2020
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0913

Abstract

Twitter's sentiment analysis is one of the most interesting fields of research lately. It intertwines the natural language processing techniques with data mining. Up to this point, many algorithms have been proposed to better understand sentiment from text. The proposed method can be focused on the preprocessing step, dataset splitting method (training and testing), dataset balancing method (when the data is unbalanced), to the improvement of the existing algorithm. But, the main focus of this paper is on feature extraction from tweets using TF-IDF. The features obtained from this process are expected to improve the accuracy of the classification process. The dataset used in this research is in Indonesian, which has a very different form when compared to English. This dataset consists of 1068 manually labeled tweets related to the "school from home" policy caused by the COVID-19 outbreak, taken from March to July. All steps required to process this data will be implemented using python. To validate its utility, the performance of the proposed method is compared with each other. Finally, the results are summarized by reflecting on the impact of the inclusion of the proposed features for each classification algorithm for sentiment detection
Web-Based of Standard Operational Procedures Design for Lecturers as a Realization of Law and Public Hearing Facilities in Universitas Pembangunan Nasional "Veteran" Jawa Timur Diana Aqidatun Nisa; Amalia Anjani Arifiyanti; Anajeng Esri Edhi Mahanani
Nusantara Science and Technology Proceedings 5th International Seminar of Research Month 2020
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2021.0915

Abstract

This study aims to find a communication model and standard operational procedure of digital publication design Policies to support lecturers' performance in administration at UPN "Veteran" Jawa Timur, particularly for the functional position. Thus, the model and design hopefully could ensure legal certainty and public hearing media. The method began with identifying the problems that arise regarding the implementation of policies in the university. The sampling technique involved quantitative and qualitative, which utilized non-random sampling in the form of a questionnaire. Then, the formulation of solutions that answer these problems through the identification of problem-solving efforts was generated. The solution was packaged to provide a communication model and digital publication design of the Policy of Standard Operational Procedure for Lecturers in the UPN "Veteran" Jawa Timur. It was found that there were quite problems, especially that there had not been centralized SOP yet. Consequently, many ambiguities occurred so that the lecturers became confused and felt uncertain about the procedure to proceed with their functional position.
A Sentiment Analysis Pedulilindungi Tweet Using Support Vector Machine Method Farhan Setiyo Darusman; Amalia Anjani Arifiyanti; Seftin Fitri Ana Wati
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 4 No 2 (2021): December
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v4i2.2836

Abstract

Pedulilindungi application has many benefits but many controversies arise in the community. Various opinions in the form of tweets were expressed by the public, both positive and negative opinions. In this study, the objective is to make a classification model to classify tweets into two types of sentiment, namely positive and negative. The model is made in several stages, namely data retrieval, data filtering, data labeling, data preprocessing, splitting data train and data test, feature selection using Information Gain and Genetic Algorithm, and then classification using the SVM method. The model using two-stage feature selection and SVM method, obtained an accuracy value of 64.08% with 841 features and processing time of 0.033 seconds with 9.6% CPU usage. The model with two-stage feature selection is more efficient and effective than the one-stage feature selection model whose accuracy value is only 60.56% with 1800 features and a processing time of 0.044 seconds with 15.4% CPU usage.
Penerapan Pembelajaran Dasar Pemrograman Komputer menggunakan kegiatan Plugged dan Unplugged Siti Mukaromah Mukaromah; Nur Cahyo Wibowo; Prisa Marga Kusumantara; Agung Brastama Putra; Eka Dyar Wahyuni; Amalia Anjani Arifiyanti
KONSTELASI: Konvergensi Teknologi dan Sistem Informasi Vol. 1 No. 1 (2021): Juni 2021
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (317.466 KB) | DOI: 10.24002/konstelasi.v1i1.4299

Abstract

Perkembangan Teknologi Informasi dan Komunikasi pada jaman sekarang sudah sangat dibutuhkan untuk mendukunng kegiatan sehari-hari. Mulai dari sekolah, kantor, dan kegiatan harian yang lain. Pemanfaatan perangkat TIK (gadget) khususnya pada anak bisa memberikan pengaruh baik dan buruk. Agar anak dapat mendapatkan pengaruh baik dari gadget salah satunya adalah memilih permainan yang mengajarkan kreatif, berfikir secara terstruktur, serta belajar mencari solusi jawaban dari masalah yang diberikan. Selain permainan yang dilakukan menggunakan gadget, anak juga perlu diberi dasar menggunakan permainan tanpa gadget (unplugged). Untuk tahapan awal peserta pelatihan adalah guru, dimana diharapkan kedepan dapat mentransfer hasil pelatihan kepada anak didiknya. Pada artikel ini mengangkat dua metode pembelajaran dasar untuk pengenalan pemrograman, yaitu menggunakan metode unplugged dan plugged. Dengan kata lain belajar dasar komputer diawali tanpa gadget dan selanjutnya menggunakan gadget.
Analisis Sentimen Ulasan Pengunjung Objek Wisata Gunung Bromo pada Situs Tripadvisor Amalia Anjani Arifiyanti; Mochammad Fuad Pandji; Bagus Utomo
Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Vol 13, No 1 (2022): Juni
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jsit.v13i1.2539

Abstract

Saat ini para wisatawan dapat menyampaikan ulasan mengenai pengalaman wisatanya melalui berbagai platform. Ulasan wisatawan ini dapat mempengaruhi dan memberikan pertimbangan bagi para calon wisatawan lain yang akan mengunjungi obyek wisata tersebut. Salah satu platform wisata yang populer adalah TripAdvisor. Ulasan pada platform ini mengenai obyek wisata Gunung Bromo dianalisis lebih jauh sehingga pihak pengelola obyek wisata dapat mendapatkan informasi yang dapat digunakan sebagai dasar pengembangan obyek wisata yang dikelolanya. Analisis sentimen dengan pendekatan klasifikasi dengan algoritma supervised learning  dapat digunakan sebagai salah satu metode untuk menggali sentimen wisatawan yaitu positif atau negatif. Dari tiga algoritma pengklasifikasi yang diuji pada penelitian ini, tingkat akurasi tertinggi model klasifikasi dihasilkan oleh algoritma Decision Tree sebesar 91% dan diikuti oleh Naïve Bayes dan Logistic Regression yang masing-masingnya 88%. Tingkat precision, recall, dan f1-measure untuk Decision Tree masing-masingnya sebesar 0,95 , 0,62 , dan 0,68. Dari hasil yang didapatkan, model klasifikasi perlu ditingkatkan performanya karena model klasifikasi memiliki kecenderungan prediksi ke kelas sentimen positif.
Pemanfaatan Google Meet, Google Classroom, dan Zoom Untuk Mendukung Kegiatan Belajar dari Rumah Amalia Anjani Arifiyanti; Muhammad Burhanuddin F; Sudewantoro N M; Ananda Lakunti A; M. Rizal Abdullah Rozi
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol 4, No 3 (2021): September 2021
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v4i3.1082

Abstract

Abstract: The school from home program implemented by all educational institutions during the COVID 19 pandemic forced all parties to adapt. This school from home program requires information technology as the medium so that the teaching and learning process continues. One of the challenges that arise from this distance learning method is the ability to operate information technology, especially applications used to support the online learning process. One of the activities to answer this challenge is to conduct training that directly practices how to operate an online learning support application. This training program attended by parents and students in the Sukodono District, Sidoarjo Regency. This training is carried out online due to a social restriction policy at the time of the training. The evaluation results and feedback from the training participants stated an increase in understanding of the operation of the applications being taught; besides, the participants indicated that the community needed similar training. However, the participants hope that the next training will be carried out offline to teach the participants step-by-step directly.          Keywords: Google Meet; Google Classroom; school from home; training; Zoom Abstrak: Program belajar dari rumah yang dilaksanakan semua instansi pendidikan selama masa pandemi COVID 19, memaksa semua pihak yang terlibat untuk beradaptasi. Program belajar dari rumah ini membutuhkan teknologi informasi sebagai medianya agar proses belajar mengajar tetap berjalan. Salah satu tantangan yang muncul dari metode belajar jarak jauh ini adalah kemampuan pengoperasian teknologi informasi terutama aplikasi-aplikasi yang digunakan untuk mendukung proses belajar daring. Salah satu kegiatan untuk menjawab       tantangan ini adalah dengan mengadakan pelatihan yang langsung mempraktekkan cara peng-operasian pengoperasian aplikasi pendukung belajar daring. Pelatihan ini diikuti oleh para orang tua dan siswa di wilayah Kecamatan Sukodono, Kabupaten Sidoarjo. Pelatihan ini dilaksanakan secara daring karena adanya kebijakan pem-batasan sosial pada saat pelatihan berlangsung. Hasil evaluasi dan timbal balik dari peserta pelatihan menyatakan bahwa terjadi peningkatan pemahaman terhadap pengoperasian aplikasi yang diajarkan, selain itu peserta menyatakna bahwa pelatihan sejenis dibutuhkan oleh masyarakat. Akan tetapi peserta berharap agar pelatihan selanjutnya dilaksanakan secara luring sehingga instruktur dapat mengajari peserta tahap demi tahap secara langsung.Kata kunci: belajar dari rumah; google meet; Google Classroom; pelatihan; Zoom
Comparison of RAM Classification with Decision Tree Algorithms and KNN Solehudin Al Ayyubi; Indira Setia Amalia; Amalia Anjani Arifiyanti
Procedia of Engineering and Life Science Vol 2 No 2 (2022): Proceedings of the 4th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (789.756 KB) | DOI: 10.21070/pels.v2i2.1200

Abstract

A laptop is a rather small personal computer consisting of a keyboard, screen, microprocessor and usually a rechargeable battery. In the current era of technology, when buying a laptop, we need to have thorough and detailed considerations regarding our needs in using a laptop, especially laptop RAM. By comparing Decision Tree and KNearest Neighbors algorithm, a more accurate algorithm was found to make a prediction in buying a laptop with suitable variable consideration. The result shows that Decision Tree algorithm is more accurate to be used in predicting the suitable laptop RAM. Decision Tree accuracy is 68%, this result is higher than KNN accuracy which is only 66%.
Pembelajaran Berbasis Proyek Dalam Pemanfaatan Teknologi Informasi Untuk Membantu Peningkatan Daya Saing Umkm Amalia Anjani Arifiyanti; Anita Wulansari
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol 5, No 3 (2022): September 2022
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v5i3.1418

Abstract

Abstract: The adoption of information technology to support the running of MSME business in the era of the COVID-19 pandemic is an absolute choice. So far, the low adoption of information technology by MSME is due to low awareness of the benefits of information technology for their business and the low ability to use information technology. Higher education institutions can assist MSME with qualified resources and capabilities in utilizing information technology in carrying out business operations to increase their business support capacity. One way of working together is through the partnership method. UMKM will become partners for students who take project-based learning. Based on the feedback from the evaluation of this learning method, the results were that both parties received a positive impact from this learning method. UMKM players will get input, knowledge, and project output products based on information technology, while students will get real experience so that they can increase the effectiveness of understanding the material they get.            Keywords: information technology adoption; msmes; project based learning; project management.  Abstrak: Pengadopsian teknologi informasi untuk mendukung berjalannya usaha bisnis UMKM di era pandemi COVID-19 menjadi pilihan mutlak. Selama ini, rendahnya adopsi teknologi informasi oleh pelaku UMKM dikarenakan faktor rendahnya kesadaran terhadap manfaat teknologi informasi terhadap bisnisnya hingga rendahnya kemampuan penggunaan teknologi informasi. Faktor-faktor ini dapat dibantu oleh pihak perguruan tinggi yang memiliki sumber daya dan kapabilitas yang mumpuni dalam hal pemanfaatan teknologi informasi untuk membantu para pelaku UMKM dalam menjalankan operasional usaha hingga meningkatkan daya dukung usahanya. Salah satu cara kerja sama adalah melalui metode kemitraan. UMKM akan menjadi mitra bagi para mahasiswa yang mengikuti pembelajaran berbasis proyek. Berdasarkan timbal balik dari evaluasi metode pembelajaran ini, hasilnya kedua belah pihak menerima dampak positif dari metode pembelajaran ini. Pelaku UMKM akan mendapatkan masukan, ilmu, hingga produk luaran proyek yang berbasis teknologi informasi, sedangkan para mahasiswa akan mendapatkan pengalaman nyata sehingga dapat meningkatkan efektifitas pemahaman materi yang diperolehnya. Kata kunci: manajemen proyek; pembelajaran berbasis proyek; pemanfaatan teknologi informasi; umkm.
Co-Authors Abdul Rezha Efrat Najaf Achmad Fauzi Afandi, Mohamad Irwan Aghni Qisthina Al Rahma Agung Brastama Putra Agung Brastama Putra Akira Permata Ramadhani Al Rahma, Aghni Qisthina alathoillah, abdul hanif Ana Wati3, Seftin Fitri Ananda Lakunti A Andhyni, Cyntia Prisya Anggy Oktaviana Syafira Anita Wulansari Anita Wulansari, S.Kom., M.Kom Annisa Lusyani Zahra Anwar Sodik, Anwar Aprilia, Eka Fahira AryaRafa, Daud Audrey Septya Rosanti Bagus Utomo Basma Eno Ketherin Brahmantio Widyo Trenggono Brastama Putra, Agung Daniar, Ivan Faiz Devi, Ditha Lozera Dewi Safitri, Triyatul Dewi, Heni Lusiana Dharmawan, Ega Dhian Satria Yudha Kartika Diana Aqidatun Nisa Ditha Lozera Devi Eka Putri, Siti Oktavia Elfaretta, Syifa Saskia Fachrurrozy Nurqoulby Fandi, Rico Satria Farhan Setiyo Darusman Farhan Setiyo Darusman Fariska, Rahmah Putri Ferdiansyah, Rizky Fernaldy, Fabiyan Atha Fidyah Salsabila Putri Sillehu Firsttama, Risav Arrahman Fitri, Anindo Saka Hardiartama, Rendi I Gusti Ayu Sri Deviyanti Indira Setia Amalia Indra Fajar Novian Irwan Afandi, Mohamad Jannatuzzahra, Khoirunisa Ketherin, Basma Eno Kusumantara, Prisa Marga Kusumantara, Prisa Marga Luhur Indayanti Sugata, Tri M. Rizal Abdullah Rozi Mahanani, Anajeng Esri Edhi Marga Kusumantara, Prisa Marisca Amanda Hidayat Mashita Kustyani Maulana Arrasyid, Nizar Maulana Kharyska Abadi, Muhammad Mochamad Suhri Ainur Rifky Mochammad Fuad Pandji Mohamad Irwan Afandi Muhammad Burhanuddin F Narendra, Efriza Cahya Nilwanda, Leona Elsa Novian, Indra Fajar Nur Cahyo Wibowo Nur Rachman Nidhi Suryono, Muhammad Nurisa Rahma Shantika Nurjanti Takarini Oktania Purwaningrum Oktania Purwaningrum Oktania Purwaningrum Pandu Rizki Maulidiah Permatasari, Reisa Pradana, Rhendy May Putra, Satrio Honggonagoro Pramono Putri, Youlan Indira Putu Anggi Suryantari Rafi Purwa Syahputra Raihana Sakhi Aswanda Rendi Panca Wijanarko Rhendy May Pradana Rizka Hadiwiyanti Saka Fitri, Anindo Salma Nabila Seftin Fitri Ana Wati Sembilu, Nambi Sidhi Pamekas, Afu Solehudin Al Ayyubi Sudewantoro N M Sugata, Tri Luhur Indayanti Sulistyowati Sulistyowati Sulistyowati Sulistyowati Tri Diana Rimadhani Tri Luhur Indayanti Sugata Ubaidillah Fahmi, Rohmat Wahyuni, Eka Dyar Wati , Seftin Fitri Ana Wati, Seftin Fitri Ana Wibisono, Mahendra Priyo Wisnu Mukti Darwansah Yudha Yunanto Putra Yudha Yunanto Putra Zahra, Nabila Athifah