Article Per Year (5 Year)
p-Index From 2021 - 2026
3.312
P-Index
This Author published in this journals
All Journal JURNAL SISTEM INFORMASI BISNIS ILKOM Jurnal Ilmiah Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat Journal Dynamic SainT Jurnal Pengabdian Masyarakat Khatulistiwa BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal Minfo Polgan (JMP) INFINITY : UKI TORAJA JOURNAL OF INFORMATION TECHNOLOGY TONGKONAN: Jurnal Pengabdian Masyarakat The Indonesian Journal of Computer Science
Garonga, Melki
Program Studi Teknik Informatika UKI Toraja
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Nursing Public Health Social Sciences Transportation Veterinary Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
Classification model of Toraja arabica coffee fruit ripeness levels using convolution neural network approach Michael, Aryo; Garonga, Melki
ILKOM Jurnal Ilmiah Vol 13, No 3 (2021)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v13i3.861.226-234

Abstract

The purpose of this study is to design a CNN deep learning algorithm model that can classify the maturity level of Arabica coffee fruit based on image, the resulting model can be applied to a coffee bean sorting device based on artificial intelligence so that problems that exist in the process of sorting arabica coffee fruit that meets the standards can be avoided, to improve the quality of arabica Toraja coffee products. The research began from the collection of data in the form of raw Arabica coffee image Toraja as many as 4000 images of arabica coffee fruit with 4 categories, half-cooked, perfectly ripe, and mature old. CNN basic architecture is created using images with a size of 128x128 pixels, 4 convolution layers using 3x3 filters opening 32, 64, 128, and 256 with ReLU activation, followed by a poll layer with a 2x2 filter. The full connected layer uses 2 hidden layers with dropout layers. The training model was conducted with a 5-fold cross-validation method using epoch 100, 'adam' optimization algorithm with a learning rate of 0.0001, and batch size 10. The success of a model is seen based on the calculation of the confusion matrix. The test results showed that the accuracy rate of the third model using a combination of max polling and average polling performed best with an introduction accuracy of 98.75%, the first model used max polling with an accuracy of 98.25% while the lowest accuracy on the second model used average polling with an accuracy of 97.75%.
Development Of The ‘Sipdes’ Village Correspondence Information System Towards Good Governance In The Village Of La'bo' Garonga, Melki
Jurnal Sistem Informasi Bisnis Vol 15, No 4 (2025): Volume 15 Number 4 Year 2025 (In Press)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss4pp%p

Abstract

This research focuses on the implementation of the web-based Village Correspondence Information System (SIPDES) in La’bo’ Village, North Toraja Regency, as a digital solution to address the persistent limitations of conventional public service delivery. SIPDES is specifically engineered to transform the bureaucratic correspondence process by providing a platform that allows community members to manage and submit letter requests using their smartphones, alongside the ability to perform independent status tracking, thereby eliminating the necessity of physical visits to the village office. The development of this system meticulously adhered to the structured Waterfall methodology. Functional validation was rigorously executed through extensive testing, starting with Black Box Testing, which successfully confirmed that all integrated system features operated precisely according to the predefined technical specifications. Furthermore, the subsequent User Acceptance Test (UAT), conducted with the intended end-users, yielded a highly positive aggregate average score of 85.6%. This strong result serves as a compelling indicator that the vast majority of users perceive SIPDES to be highly feasible and suitable for full-scale implementation. Ultimately, this success validates SIPDES's effectiveness in meeting both core operational requirements and user expectations. The successful deployment of this system is projected to significantly enhance overall service efficiency, transparency, and public service quality, consequently supporting the strategic realization of both e-government and Good Governance principles at the local village level.
Co-Authors Amelia, Nerlys Damayanti, Irene Devi Dudung, Marni Eko Suripto Pasinggi Ferayanti Boas Gallaran Gidion Aryo Nugraha Pongdatu Hans Lura Jufrianus Rusman Juprianus Rusman Limbong, Irianto Rante Marchelin, Marchelin Masiku, Henrianto Michael, Aryo Nerlys Amelia Pabutungan, Robin Padang, Semuel Yacobus Padanun, Delila Basan Patandung, Suryaningsih Pongdatu, Gideon A.N. Rangan, Parea Rusan Rangga Punne, Mc Rore Rita Tanduk Sarivayanti Semuel Yakobus Padang Siappa, Marchelino Dwi Putra Srivan Palelleng Toding, Olivia Tumanan, Ary Upa', Samrius Upa, Samrius