Article Per Year (5 Year)
p-Index From 2020 - 2025
3.036
P-Index
This Author published in this journals
All Journal Jurnal Teknologi dan Manajemen Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization INTEGER: Journal of Information Technology BAREKENG: Jurnal Ilmu Matematika dan Terapan JMM (Jurnal Masyarakat Mandiri) Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Vygotsky: Jurnal Pendidikan Matematika dan Matematika Prosiding Seminar Nasional Multidisiplin IJAIT (International Journal of Applied Information Technology) Inferensi eProceedings of Engineering Asia Information System Journal Nusantara Journal of Computers and its Applications Almantiq International Journal of Business and Management Technology in Society (IJBMTS)
Mochamad Nizar Palefi Ma’ady
Institut Teknologi Telkom Surabaya
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 23 Documents
Search

 1   2   3 
Maximizing Prospective Students through Instagram-Driven Influence Maximization for University Branding Ma'ady, Mochamad Nizar Palefi; Hidayat, Alifiansyah Arrizqy; Nasution, Anita Hakim; Kusumawati, Aris; Insani, Rokhmatul
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3385

Abstract

In many developing countries, private universities face considerable financial challenges due to their limited sources of income. Unlike public universities, which receive substantial government subsidies, private institutions must rely primarily on tuition fees and student enrollment to sustain their operations. This financial dependency pushes private universities, particularly in Indonesia, to invest heavily in branding and marketing to attract prospective students. Social media platforms, especially Instagram, have emerged as crucial tools in these efforts. Instagram enables universities to engage with potential students directly, providing a space for showcasing academic programs, campus life, and student achievements. This paper’s goal is to explore the potential of Instagram-driven influence maximization (IM) techniques for enhancing university branding. Traditionally, these techniques are employed in product marketing to increase consumer engagement and sales, but their application in higher education remains relatively unexplored. We aim to address this gap by examining three promising IM methods that private universities can adopt: first, leveraging Instagram’s broadcast channel feature to communicate effectively with large audiences in real time; second, selecting key opinion leaders (KOLs) from influencer marketplace platforms to enhance credibility and broaden outreach; and third, optimizing the use of targeted hashtags to increase discoverability and engagement. As a result, we provide a review of recent evidence supporting the effectiveness of these strategies in higher education marketing. By adopting these techniques, private universities can improve their digital presence, enhance brand awareness, and increase student enrollment. IM with uncertainty is a challenging educational landscape for future research.
Optimizing Product Delivery through Two-Dimensional Time Warping Demand Allocation under Uncertainty Meilanitasari, Prita; Vanany, Iwan; Ma'ady, Mochamad Nizar Palefi; Isrofi, Nisa
International Journal of Business and Management Technology in Society Vol. 2 No. 2 (2024)
Publisher : Direktorat Riset dan Pengabdian Kepada Masyarakat, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j30254256.v2i2.1341

Abstract

Purpose – This study aims to optimize delivery operations by implementing a flexible clustering method to handle demand uncertainty and improve logistics efficiency. Methodology – This study develops a clustering algorithm using a two-dimensional time-warping approach to group demand points based on spatial proximity and demand characteristics. The methodology consists of three stages: 1) processing data on point distances, 2) clustering using two-dimensional time warping, and 3) validating through silhouette analysis. Findings – This study resulted in optimal and efficient demand clustering through location clustering with a Silhouette coefficient value of 0.7 or an accuracy and feasibility level of 70%. The algorithm also shows improved computational efficiency compared to traditional approaches, making it suitable for practical applications in uncertain and dynamic environments. Practical implications – This study holds significant importance for businesses in the logistics and retail sectors. Through demand clustering, businesses can effectively group customer demands and utilize this information to optimize inventory management and delivery solutions.
Gamifikasi Peternakan Digital Desa Wonosalam dengan Pendeteksi Nama Hewan Ternak Berbasis Kecerdasan Buatan Ma'ady, Mochamad Nizar Palefi; Serafina, Nauli Khalila; Andrew, Dennis Michael; Liana, Serli April
Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Vol 11 No 2 (2024): Mei
Publisher : Lembaga Penelitian, Penerbitan dan Pengabdian Masyarakat (LP3M) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/ppkm.v11i2.6735

Abstract

Desa Wonosalam di Kabupaten Jombang, Provinsi Jawa Timur, menyimpan potensi digitalisasi peternakan dengan sistem bisnis jual-beli hewan ternak secara jarak jauh untuk orang yang ingin melakukan investasi hewan ternak. Digitalisasi peternakan ini didukung dengan adanya aplikasi mobile yang hanya dapat menyajikan informasi hewan ternak investor secara batch system. Oleh karena permasalahan tersebut, diusulkan inovasi fitur monitoring agar pengguna/investor dapat mengawasi hewan ternaknya secara real time. Fitur ini dirancang untuk mendeteksi tag warna pada setiap hewan ternak, memberikan nuansa gamifikasi kepada investor, serta diharapkan dapat meningkatkan profesionalisme peternak dan memberikan dampak positif terhadap ekonomi desa. Tujuan dari pengembangan fitur monitoring pada peternakan TernakPark adalah untuk mengubah cara pandang investor pada TernakPark agar lebih positif dan meningkatkan kepercayaan investor untuk beternak dengan jarak jauh serta dapat menyejahterakan peternak yang ada di Desa Wonosalam.
Co-Authors Achmad Muzakki Alifiansyah Arrizqy Hidayat Andrew, Dennis Michael Anita Hakim Nasution Arip Ramadan Aris Kusumawati Artwodini Muqtadiroh, Feby Azizah, Faradilla Nur Chuan-Kai Yang Cornelia Angela Caezaria Denny Nurdiansyah Deyastusesa, Junanda Faisal Rizal Rahman Febryan, Rayhan Alief Feby Artwodini Muqtadiroh Habib Husni Mubarok Mubarok Hatma Suryotrisongko Ita Aristia Sa'ida Iwan Vanany Kartini, Alif Yuanita Liana, Serli April Meilanitasari, Prita Mohammad Hamim Zajuli Al Faroby Muhammad Ilham Alhari Mutiani, Tia Nisa Isrofi Novitasari, Diah Ayu Pratama, Arya Yudha Purnama Anaking Puspita Rini, Hafida Rahim, Ainatul Fathiyah Abdul Ramadhani, Cisa Valentino Cahya Renny Pradina Kusumawardani Rizal Rahman, Faisal Rizaldy, Denny Daffa Rizqy Athiyya Nafi’atus Sa’idah Rohmawati, Siti Rokhmatul Insani Rosidah, Nur Azizah Sanjaya, I Made Wisnu Adi Saputra, Ricky Adam Satria, Rahul Fahmi Serafina, Nauli Khalila Sukmawaty, Yuana Tabina Shafa Nabila Syahda Tita Ayu Rospricilia Ully Asfari Ummi Agustin Yuliana Utomo, Muchammad Chandra Cahyo Widyaiswari, Rahma Putri Wijayanti, Lulud Yohanes Setiawan