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All Journal Jurnal Elektronika Listrik dan Teknologi Informasi Terapan Jurnal Teknologi Dan Sistem Informasi Bisnis Indonesian Journal of Electrical Engineering and Computer Science Majalah Ilmiah UPI YPTK Jurnal PTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Abdimas ADPI Sains dan Teknologi Jurnal Ipteks Terapan : research of applied science and education COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Sains Informatika Terapan (JSIT) Jurnal Komtekinfo Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Journal Of Informatics And Busisnes JOURNAL OF COMMUNITY SERVICE AND APPLICATION SCIENCE (JCSAS) Jurnal Teknik dan teknologi tepat guna The Indonesian Journal of Computer Science
Harkamsyah Andrianof
Universitas Putra Indonesia YPTK Padang
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Journal : Jurnal Sains Informatika Terapan (JSIT)

 1 
PEMANFAATAN TEKNOLOGI AUGMENTED REALITY (AR) PADA PERANCANGAN EBROUCHURE SEBAGAI MEDIA PROMOSI BERBASIS ANDROID Riska Robianto; Harkamsyah Andrianof; Emil Salim
Jurnal Sains Informatika Terapan Vol. 1 No. 1 (2022): Jurnal Sains Informatika Terapan (Februari, 2022)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (377.896 KB)

Abstract

- Augmented Reality (AR), adalah sebuah teknologi baru yang memungkinkan pengguna melihat gambar 2D (dua dimensi) menjadi gambar 3D (tiga dimensi) secara langsung dengan menggunakan smartphone, netbook, dan lain-lain. Teknologi ini dapat diterapkan dalam berbagai macam bidang, salah satunya dalam bidang promosi yang menggunakan brosur. Aplikasi ini penulis namakan eBrouchure pengganti brosur biasa. Aplikasi ini menggunakan media brosur yang telah diberi marker sebagai alat peraga yang akan diidentifikasi melalui kamera smartphone android untuk memunculkan sebuah objek 3D. Tujuan penelitian ini akan menampilkan objek 3D dari Taman Margasatwa dan Budaya Kinantan melalui smartphone android pada media brosur sehingga pengguna mendapatkan informasi yang lebih jelas dibandingkan brosur yang sudah ada
Sistem Pakar Stunting Pada Balita Menggunakan Metode Forward Channing & Naive Bayes Harkamsyah Andrianof
Jurnal Sains Informatika Terapan Vol. 1 No. 2 (2022): Jurnal Sains Informatika Terapan (Juni, 2022)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (332.691 KB)

Abstract

Stunting is a growth problem in toddlers which is characterized by the length or height of the child being below the established standard deviation. The development of pregnant women greatly affects the health and growth of the womb. Problems with fetal development in the womb that result in low birth weight. The length of the baby is also associated with the incidence of stunting. This is also one of the causes of many toddlers experiencing stunting, because the food provided does not show what is called 4 healthy 5 perfect food. By looking at the number of stunting cases in toddlers in the community, an expert system is needed that can assist users in diagnosing stunting more quickly. This expert system research uses data collection techniques directly to the field to collect data by means of data collection techniques as follows; observations, interviews, and library studies. The use of an expert system with the Forward Chaining & Naïve Bayes method in this system can help and make it easier for users to detect stunting in toddlers.
Pemanfaatan Teknologi Augmented Reality (AR) Pada Perancangan Ebrouchure Sebagai Media Promosi Berbasis Android Robianto, Riska; Andrianof, Harkamsyah; Salim, Emil
Jurnal Sains Informatika Terapan Vol. 1 No. 1 (2022): Jurnal Sains Informatika Terapan (Februari, 2022)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v1i1.38

Abstract

- Augmented Reality (AR), adalah sebuah teknologi baru yang memungkinkan pengguna melihat gambar 2D (dua dimensi) menjadi gambar 3D (tiga dimensi) secara langsung dengan menggunakan smartphone, netbook, dan lain-lain. Teknologi ini dapat diterapkan dalam berbagai macam bidang, salah satunya dalam bidang promosi yang menggunakan brosur. Aplikasi ini penulis namakan eBrouchure pengganti brosur biasa. Aplikasi ini menggunakan media brosur yang telah diberi marker sebagai alat peraga yang akan diidentifikasi melalui kamera smartphone android untuk memunculkan sebuah objek 3D. Tujuan penelitian ini akan menampilkan objek 3D dari Taman Margasatwa dan Budaya Kinantan melalui smartphone android pada media brosur sehingga pengguna mendapatkan informasi yang lebih jelas dibandingkan brosur yang sudah ada
Sistem Pakar Stunting Pada Balita Menggunakan Metode Forward Channing & Naive Bayes Andrianof, Harkamsyah
Jurnal Sains Informatika Terapan Vol. 1 No. 2 (2022): Jurnal Sains Informatika Terapan (Juni, 2022)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v1i2.83

Abstract

Stunting is a growth problem in toddlers which is characterized by the length or height of the child being below the established standard deviation. The development of pregnant women greatly affects the health and growth of the womb. Problems with fetal development in the womb that result in low birth weight. The length of the baby is also associated with the incidence of stunting. This is also one of the causes of many toddlers experiencing stunting, because the food provided does not show what is called 4 healthy 5 perfect food. By looking at the number of stunting cases in toddlers in the community, an expert system is needed that can assist users in diagnosing stunting more quickly. This expert system research uses data collection techniques directly to the field to collect data by means of data collection techniques as follows; observations, interviews, and library studies. The use of an expert system with the Forward Chaining & Naïve Bayes method in this system can help and make it easier for users to detect stunting in toddlers.
Rancang Bangun Sistem Pendeteksi Ketinggian Tanah, Tekanan Udara Dan Suhu Serta Monitoring Kesehatan Pada Pendaki Dalam Pendakian Gunung Dengan Notifikasi Telegram Berbasis Arduino Mega 2560 Andrica Putra, Octa; Andrianof, Harkamsyah; Pramana Gusman, Aggy
Jurnal Sains Informatika Terapan Vol. 2 No. 2 (2023): Jurnal Sains Informatika Terapan (Juni, 2023)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v2i2.157

Abstract

Mountain climbing requires high vigilance and preparedness related to various conditions that may be faced. In order to improve the safety and comfort of climbers, this research designs and builds a system for detecting ground level, air pressure and temperature as well as monitoring the health of climbers with Telegram notifications based on Arduino Mega 2560. This system uses Arduino Mega 2560 technology, a board-based micro-controller that can be programmed for various applications. The system is able to detect and monitor ground level, air pressure, temperature and climbers' health conditions in real-time. In addition, the system is also integrated with Telegram, a popular communication platform. The Telegram notification facility is used to send information and alerts from the system to climbers or support teams. Thus, preventive measures or emergency treatment can be taken immediately if there is a significant change in conditions. With the design of this system, it is expected that the safety and comfort of mountain climbers can be better guaranteed, and the risk of accidents and unwanted health conditions can be minimized. This research contributes to the development of supporting technology for safer and more comfortable mountaineering activities
Implementasi Algoritma Random Forest untuk Prediksi Kelulusan Mahasiswa Berdasarkan Data Akademik: Studi Kasus di Perguruan Tinggi Indonesia Andrianof, Harkamsyah; Aggy Pramana Gusman; Okta Andrica Putra
Jurnal Sains Informatika Terapan Vol. 4 No. 1 (2025): Jurnal Sains Informatika Terapan (Februari, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v4i2.464

Abstract

Tingkat kelulusan mahasiswa tepat waktu adalah ukuran penting untuk mengetahui seberapa efektif sistem pendidikan tinggi. Untuk memprediksi kelulusan siswa berdasarkan data akademik, penelitian ini menggunakan algoritma Random Forest. Penelitian ini menghasilkan model prediktif dengan menganalisis faktor seperti IPK, kehadiran, dan nilai mata kuliah inti dari dataset seribu catatan mahasiswa dari berbagai program studi. Metode pembelajaran mesin ini dipilih karena kemampuan untuk menangani data yang rumit dan membuat prediksi yang akurat. Hasil penelitian menunjukkan bahwa algoritma Hutan Random memiliki akurasi 87,5% dalam memprediksi status kelulusan siswa, serta presisi 86,3% dan recall 85,9 %. Tingkat kehadiran dan IPK adalah faktor paling penting dalam menentukan kelulusan tepat waktu, menurut analisis fitur penting. Model ini dapat membantu institusi pendidikan menemukan siswa yang berisiko tidak lulus tepat waktu, memungkinkan intervensi dini untuk meningkatkan tingkat kelulusan.
Co-Authors Achmad Fauzan Syaputra Aditya Franatiaga Aggy Pramana Gusman Andrica Putra, Octa Aulia Fitrul Hadi Aulia Fitrul Hadi Aulia Hadi Awal, Hasri Dendi Novrizal Deval Gusrion Emil Salim Emil Salim Fanesyah Musvina Firdaus - Gusrion, Deval Halifia Hendri Hasri Awal Huriyyah Hana, Riri Marfalino, Hari Melisa Suardi Mey Yuki Lestari Muhammad Hafizh Muhammad Pondrinal Okta Andrica Putra Prayuda, Muhammad Hozi Riska Robianto RISKA ROBIANTO, RISKA Romi Wijaya Sayuti, Muhammad Silfia Andini Silky Selfira Sri Rahmawati Steffany Syafri Arlis Syafri Arlis Taufik Nur Zam Zam Winda Sutra Amanda Winda Sutra Amanda Yuhandri Yuhandri Yunus