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All Journal Jurnal Manajemen dan Bisnis (Performa) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Manajemen Indonesia JIEET (Journal of Information Engineering and Educational Technology) Jurnal Mitra Manajemen IJISTECH (International Journal Of Information System & Technology) Journal on Education Almana : Jurnal Manajemen dan Bisnis Sosiohumanitas: Jurnal Ilmu-Ilmu Sosial dan Humaniora Journal of Data Science and Its Applications IJISTECH Jurnal Publik: Jurnal Ilmiah Bidang Ilmu Administrasi Negara eProceedings of Management In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism)

Andry Alamsyah

Universitas Telkom

Author-ID : 634005

Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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EKSPLORASI PEMIMPIN OPINI UNTUK ALTERNATIF PENDUKUNG PEMASARAN PT. NET MEDIATAMA INDONESIA MENGGUNAKAN METODE ANALISIS JEJARING SOSIAL DI TWITTER Dian Puteri Ramadhani; Andry Alamsyah; Mukti Bawono Wicaksono
SOSIOHUMANITAS Vol 21 No 1 (2019): Maret 2019
Publisher : Lembaga Penelitian Universitas Langlangbuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36555/sosiohumanitas.v21i1.1002

Pertumbuhan pesat teknologi di era globalisasi mengakibatkan pertukaran informasi tidak hanya terjadi pada dunia nyata. Internet telah menjadi kebutuhan pokok dalam menyebarkan informasi. Pertumbuhan penguna internet meningkatkan jumlah data yang beredar di seluruh dunia. Data interaksi yang pada media sosial dapat digunakan untuk melihat bagaimana suatu hal diperbincangkan. Penelitian ini bertujuan untuk menemukan aktor yang paling berperan dalam jaringan PT. Net Mediatama Indonesia di media sosial Twitter. Penelitian ini memanfaatkan sejumlah besar data yang diambil dari Twitter melalui Application Programming Interface. Data tersebut diteliti dengan pendekatan analisis jejaring sosial. Visualisasi dan perhitungan dilakukan menggunakan software Gephi. Aktor penting ditentukan berdasarkan degree centrality, closeness centrality, dan betweenness centrality. Pemain kunci dalam jaringan NET yaitu @chuuattac sehingga akun tersebut merupakan pemimpin opini yang pendapatnya didengarkan, dipercaya, dan membuat aktor lain bereaksi. Akun tersebut dapat digunakan sebagai alternatif pendukung pemasaran dalam mengkampanyekan produk dan menyebarkan informasi NET dengan lebih cepat dan tepat sasaran.

Analisis Karakteristik Strategi Konten E-commerce Indonesia menggunakan Pendekatan Social Network Analysis untuk Market Intelligence Affrilia Utami; Andry Alamsyah
Jurnal Manajemen Bisnis Performa Vol 15, No 2 (2018)
Publisher : Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/performa.v0i0.3473

ABSTRACT The increasing penetration of internet users in Indonesia has transformed the market into a digital economy that has an impact on the high competitiveness of e-commerce. The availability of online data can provide a strategy for businesses to find new ways to understand market behavior. We analyze the characteristics of e-commerce content. This study measures and compares the analytical nature of social networks and the types of content between two e-commerce Bukalapak and Lazada on the Facebook page. This research can provide insight into what is important in understanding the market by identifying the types of content characteristics between e-commerce in social media marketing campaigns and market size indicated by the value of their content involvement and community conversations of each social network in e-commerce. ABSTRAK Peningkatan penetrasi pengguna internet di Indonesia telah mentransformasikan pasar ke dalam ekonomi digital yang berdampak pada tingginya daya kompetisi antara e-commerce. Ketersediaan online data dapat memberikan strategi bagi bisnis untuk menemukan cara baru dalam memahami perilaku pasar. Kami menganalisa karakteristik konten e-commerce. Penelitian ini mengukur dan membandingkan sifat analisis jaringan sosial dan jenis konten di antara dua e-commerce Bukalapak dan Lazada di halaman Facebook. Penelitian ini dapat memberikan wawasan tentang apa yang penting dalam memahami pasar dengan mengidentifikasi jenis karakteristik konten di antara e-commerce dalam kampanye pemasaran media sosial dan ukuran pasar yang ditunjukkan oleh nilai keterlibatan konten mereka dan percakapan komunitas masing-masing jaringan sosial dalam e-commerce.

Mapping Organization Knowledge Network and Social Media Based Reputation Management Andry Alamsyah; Maribella Syawiluna
Journal of Data Science and Its Applications Vol 1 No 1 (2018): Journal of Data Science and Its Applications
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/jdsa.2018.1.3

Knowledge management are important aspects in an organization, especially in ICT industry. Having more control of it is essentials for the organization to stay competitive in the business. One way to assess the organization knowledge capital is by measuring employee knowledge network and their personal reputation in social media. Using this measurement, we see how employee build relationship around their peer networks or clients virtually. We also able to see how knowledge network support organization performance. The research objective is to map knowledge network and reputation formulation in order to fully understand how knowledge flow and whether employee reputation have higher degree of influence in organization knowledge network. We particularly develop formulas to measure knowledge network and personal reputation based on their social media activities. As case study, we pick an Indonesian ICT company which actively build their business around their employee peer knowledge outside the company. For knowledge network, we perform data collection by conducting interviews. For reputation management, we collect data from several popular social media. We base our work on Social Network Analysis (SNA) methodology. The result shows that employees knowledge is directly proportional with their reputation, but there are different reputations level on different social media observed in this research.

Understanding Public Attitude towards Political Candidate through Conversational Network in West Java Regional Election Rimba Pratama Putra; Hanif Fakhrurroja; Andry Alamsyah
Journal of Data Science and Its Applications Vol 2 No 2 (2019): Journal of Data Science and Its Applications
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/jdsa.2019.2.21

Social media is a very important part of the political campaign strategy. By using information about various policies as well as public opinion, will provide rich information in political issues during elections. The problem is how political attitudes in social media relate to the results of the election winners. In this paper, we proposed a methodology of social network analysis to measure conversational network activity. As a case study, we select the Pilkada Jawa Barat 2018 for the reason most populous province in Indonesia. We get the conversation in online social network service Twitter and collected 70335 tweets from June 20 to June 26, 2018. Our findings indicate that the network properties of each candidate is in accordance to the real count and the candidate that appear most often are "@ridwankamil", the name of the winner of the regional elections in the Pilkada Jawa Barat 2018. We summarize all the conversations of each candidate and our results show there are high correlations with the results of the election winners. Because the higher the conversations network of each candidate, the greater the possibility of winning the election.

SOCIAL NETWORK ANALYSIS UNTUK ANALISA INTERAKSI USER DIMEDIA SOSIAL MENGENAI BISNIS E-COMMERCE (STUDI KASUS: LAZADA, TOKOPEDIA DAN ELEVENIA) Made Kevin Bratawisnu; Andry Alamsyah
Almana : Jurnal Manajemen dan Bisnis Vol 2 No 2 (2018): Vol. 2 No.2/ Agustus 2018
Publisher : Program Studi Manajemen, Fakultas Ekonomi, Universitas Langlangbuana

Bisnis e-commerce memerlukan promosi dalam memperkenalkan produk yang dimilikinya. Salah satu media yang dapat digunakan adalah media sosial. Terdapat banyak informasi yang disediakan di media sosial, salah satunya adalah User Generated Content (UGC). UGC adalah jejak rekam user di media sosial yang dapat dilihat oleh user lainnya. Diperlukan analisis media sosial untuk melihat pola interaksi antara perusahaan dengan pelanggannya dari UGC yang banyak tersebar di media sosial. Hal ini dapat dijadikan insight bagi perusahaan dalam membantu pemasaran produk di media sosial. Metode yang digunakan dalam menganalisis pola interaksi dari UGC yang ada di media sosial adalah Social Network Analysis (SNA). Pemodelan jaringan sosial dapat membantu bisnis e-commerce untuk memahami pola interaksi yang terjadi di media sosial.. Hasil temuan dalam penelitian memperlihatkan bahwa jaringan sosial yang lebih unggul adalah jaringan sosial interaksi mengenai Lazada. Penelitian juga memperlihatkan pemeran kunci bagi masing-masing e-commerce.

Service Quality Analysis of Online Travel Agencies (Ota) Using Multiclass Classification Nadya Nurul Sepani Putri; Andry Alamsyah; Sri Widiyanesti
Almana : Jurnal Manajemen dan Bisnis Vol 4 No 1 (2020): April
Publisher : Program Studi Manajemen, Fakultas Ekonomi, Universitas Langlangbuana

The simplicity provided by Online Travel Agencies (OTA) does not always make customers feel satisfied. Sometimes the customers get some problems with the company services. This finally led customers to give their opinion on social media. Large numbers of data in social media are capable to be an information source for the company to get customer insight. This study aims to determine the quality of OTA services based on customer opinions on social media Twitter. The method used in this study is a multiclass classification with Naïve Bayes Classifier model. Furthermore, each opinion is classified into positive and negative sentiment groups. Multiclass classification results show that Traveloka’s service quality is not good enough because six of the seven dimensions of service quality tend to have a negative sentiment. While the quality of Tiket.com and Pegipegi services can be assumed to be quite good because three of the seven dimensions of service quality get the more positive sentiment.

Ekplorasi Pola Interaksi dan Penggerak Opini Dalam Jaringan Sosial Pada Percakapan Bom Surabaya 2018 di Media Sosial Twitter Deacta Ayu Digpasari; Risca Septi Widyawati; Andry Alamsyah
JIEET (Journal of Information Engineering and Educational Technology) Vol. 2 No. 1 (2018)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jieet.v2n1.p19-23

Penggunaan dari media sosial kini semakin marak digunakan oleh masyarakat umum karena media sosial membantu menghubungkan satu sama lain tanpa mengenal waktu dan jarak serta memberikan sarana untuk penggunanya dapat berinteraksi. Salah satu media sosial terpopuler adalah Twitter. Melalui Twitter dapat dilakukan analisis konteks sosial menggunakan sistem komputasi atau biasa disebut dengan Social Computing. Salah satu metode yang dapat dilakukan adalah Social Network Analysis (SNA) yang dapat mengidentifikasi pola interaksi sosial yang terjadi antar pengguna dalam suatu jaringan. Penelitian ini berjudul œEksplorasi Pola Interaksi & Penggerak Opini dalam Jaringan Sosial pada Percakapan Bom Surabaya 2018 di Media Sosial Twitter memiliki tujuan untuk mengidentifikasi aktor yang paling berpengaruh pada interaksi percakapan mengenai bom di Surabaya pada tahun 2018 yang dapat diprediksi sebagai penggerak opini dalam diseminasi informasi pada jaringan tersebut. Penelitian ini dilakukan dengan mengumpulkan semua tweet (reply, mention, dan retweet) yang berisi percakapan menggunakan bahasa Indonesia mengenai peristiwa bom di Surabaya pada tahun 2018 pada rentang waktu 13-21 Mei 2018 tanpa batasan lokasi. Jenis penelitian ini merupakan penelitian deskriptif dengan menggunakan metode SNA. Ukuran yang diteliti adalah degree centrality, closeness centrality, betweeness centrality, dan eigenvector centrality. Dari hasil penelitian didapatkan 3081 nodes (akun) dan 4163 edges (interaksi) yang terjadi selama tujuh hari pada interaksi sosial percakapan mengenai bom di Surabaya tahun 2018. Berdasarkan penelitian tersebut dapat diindentifikasi bahwa aktor yang paling berpengaruh dalam jaringan sosial tersebut adalah akun Jokowi.

ANALISIS PERSEPSI KONSUMEN TERHADAP BRAND GO-JEK PADA MEDIA SOSIAL TWITTER MENGGUNAKAN METODE SENTIMENT ANALYSIS DAN TOPIC MODELLING Cindy Septiani Hudaya; Hanif Fakhrurroja; Andry Alamsyah
Jurnal Mitra Manajemen Vol 3 No 6 (2019): Jurnal Mitra Manajemen Edisi Juni
Publisher : Kresna Bina Insan Prima

Penelitian ini menggabungkan ilmu manajemen dan ilmu big data dalam proses pengerjaannya. Tujuan penelitian ini untuk mengetahui hasil sentimen konsumen terhadap brand Go-Jek berdasarkan media sosial twitter dan menemukan topik serta kata apa yang dibahas pada sentimen media sosial twitter mengenai brand Go-Jek. Data yang digunakan pada penelitian dini diperoleh dari media sosial twitter dan didapatkan sebanyak 15.721 tweets dari konsumen layanan brand Go-Jek di Indonesia yang aktif pada media sosial twitter. Analisis yang digunakan pada penelitian ini menggunakan metode big data yaitu sentiment analysis dantopic modelling. Kedua metode tersebut digunakan untuk mencapai tujuan penelitian yang ditentukan yaitu mengetahui hasil sentimen dan topik yang dibicarakan konsumen Go-jek di media sosial twitter. Hasil yang diperoleh pada penelitian ini menunjukkan secara keseluruhan dapat dikatakan bahwa sentimen dan topik yang dibahas konsumen berkaitan dengan brand Go-Jek termasuk pada brand perception positif walaupun ada beberapa sentimen negatif namun lebih mendominasi sentimen yang positif.

Reducing Data Social Network Utilizing Greedy Randomized Method Muhammad Rizqy Alfarisi; Andry Fajar Zulkarnain; Andry Alamsyah
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

There are many complex data in social networks that can be combined into large data sets which can be accessed. Large amounts of data require more storage and increase the computed summary costs. The need to know how to use data effectively and to extract information from reduced data that has the same information as super data before being reduced. the first thing to do is to convert any unstructured data into structured data utilizing the greedy randomized method, the data can be grouped and combined with other data in its vicinity, and the size of the data can be reduced because the node (user) grouping as a linked pair and is formed the best node around it. This paper presents how to use the minimum description length, as information theory to provide solutions in the model selection problem and apply it in a greedy randomized algorithm that can group unstructured data to reduce data size and provide visualization of the relationship between nodes and how accurate and faster greedy randomized would reduce and combined data into simple link nodes

Feasibility Study Pembangunan Technopark di Kabupaten Toba Mutiara Zallya Rizkita; Palti Marulita Sitorus; Khairunnisa Khairunnisa; Andry Alamsyah; Maman Abdurohman
Journal on Education Vol 5 No 3 (2023): Journal on Education: Volume 5 Nomor 3 Tahun 2023
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v5i3.1316

Science and Technology Parks (also known as technoparks) are centers for the efficient and effective sharing of knowledge and resources across various sectors of society, including business, academia, government, and the nonprofit sector. The purpose of this study is to answer the formulation of the problem, namely the Feasibility Study in Technopark Development in Toba Regency. The research method used is qualitative research. Using literature review studies by looking for secondary sources of information, such as previous research, data from affiliated organizations, local village records, and so on. The results of the study show that within 10 years, the NPV is IDR 679,597,945 with income increasing every year until the fifth year, because the NPV value is positive, the NPV is acceptable and the PP calculation itself is for 5.5 years. The conclusion obtained from the Technopark development in Toba Regency can be said to be feasible and with the existence of this Technopark it can be a breakthrough in business.

Co-Authors Affrilia Utami Agus Rahayu Alisya Putri Rabbani Alvin Ramaquita Alya Rysda Ramadhanti Alya Rysda Ramadhanti Bratawisnu, Made Kevin Cindy Septiani Hudaya Deacta Ayu Digpasari Dian Puteri Ramadhani Digpasari, Deacta Ayu Fajar Zulkarnain, Andry Fakhrurroja, Hanif Hasanah, Fathiyyah Ilham Maulana Khairunnisa Khairunnisa Lili Adi Wibowo Made Kevin Bratawisnu Made Kevin Bratawisnu Maman Abdurohman Maribella Syawiluna Muhammad Rizqy Alfarisi Mukti Bawono Wicaksono Mutiara Zallya Rizkita Nadya Nurul Sepani Putri Palti Marulitua Sitorus Puput Hari Sanjani Rafa Syafiq Bastikarana Rafa Syafiq Bastikarana Raynald Damara Eriyanto Rimba Pratama Putra Rio Oktora Risca Septi Widyawati Sri Widiyanesti Sunu Puguh Hayu Triono Widyawati, Risca Septi Yahya Peranginangin

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