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All Journal IKRA-ITH Informatika : Jurnal Komputer dan Informatika Journal of Information Systems and Informatics Journal of Innovation and Future Technology (IFTECH) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer TIN: TERAPAN INFORMATIKA NUSANTARA Academia Open Jurnal Teknik Informatika (JUTIF) JOINTER : Journal of Informatics Engineering Journal La Multiapp Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Indonesian Journal of Innovation Studies Ismart Edu: Jurnal Pendidikan Teknologi Informasi Jurnal Minfo Polgan (JMP) Jurnal Locus Penelitian dan Pengabdian Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Sains Informatika Terapan (JSIT) Innovative: Journal Of Social Science Research Jurnal Penelitian Teknologi Informasi dan Sains The Indonesian Journal of Computer Science Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi FIMERKOM: Journal of Information Systems and Technology
Kristofel Santa
Universitas Negeri Manado
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Journal : Journal La Multiapp

 1 
A Digital Image Processing–Based Moler Disease Detection System for Shallot Leaves Wahyuni, Reski; Hasibuan, Alfiansyah; Santa, Kristofel
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2738

Abstract

This study aims to design and develop a leaf moler disease detection system on shallots (Allium cepa L.) based on digital image processing in Enrekang Regency, South Sulawesi. Moler disease caused by the fungus Fusarium oxysporum f. sp. cepae is one of the main factors that reduce the quality and productivity of shallots. So far, disease identification is still done manually through direct observation by farmers, which is subjective and time-consuming. To overcome this problem, this study applies the Convolutional Neural Network (CNN) algorithm to automatically classify shallot leaf images into two categories, namely healthy and infected with moler disease. The number of datasets used is 502 images, consisting of 251 healthy images and 251 infected images, with data division of 70% for training, 15% for validation, and 15% for testing. The CNN architecture used consists of convolution, pooling, flatten, and fully connected layers with ReLU and sigmoid activation functions in the output layer. The training process used the Adam optimizer with a learning rate of 0.001 and a binary cross-entropy loss function. Test results showed a training accuracy of 97.14%, a validation accuracy of 94.73%, and a testing accuracy of 97.37%, indicating the model has a good level of precision and generalization ability without overfitting. This system is implemented as a Flask-based web application that allows users to upload leaf images and obtain detection results instantly. This system is expected to help farmers detect diseases more quickly and increase shallot productivity in Enrekang Regency.
The Best Web-Based Employee Assessment Application Using the SAW Method Tendean, Chelsea Aprilia; Santa, Kristofel; Moningkey, Efraim Ronald Stefanus
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2862

Abstract

This study aims to develop a web-based system to evaluate the performance of top employees at the Secretariat of the Minahasa Regency Regional People's Representative Council. Previously, the performance evaluation process was conducted manually, resulting in inefficiency in data management, low transparency, and subjectivity in decision-making. To address these issues, a decision support system was designed and implemented using the Simple Additive Weighting (SAW) method to calculate the final score for each employee based on predetermined performance criteria. This study employed a structured system development approach, which included the stages of needs analysis, system design, implementation, testing, and maintenance. The system was developed using a web-based programming environment supported by a relational database to manage employee data, assessment criteria, and evaluation results. Employee performance assessments were conducted based on several criteria, including discipline, attendance, responsibility, and productivity, each of which was weighted according to its level of importance. The system performed data normalization, weighting, and ranking to objectively determine the best-performing employees. Functional testing using the black box method showed that all system features, including user authentication, data processing, performance evaluation, and report generation, functioned as expected. The results of the study show that the developed system is able to increase efficiency, accuracy, and transparency in the employee performance assessment process, and can be used as a reliable decision-making tool for management in selecting high-performing employees and improving overall organizational performance.
Co-Authors Aldo Napu Alfiansyah Hasibuan Alfiansyah Hasibuan Andi R. Widyastuti Arbie, Arif Tegar Elgifari Atuna, Annisa Salsabilah Audy Aldrin Kenap Bojoh, Cristy E. P. Daeng, Mushendra Dani Orlando Daniel Riano Kaparang Detuage, Rivni Djami Olii Dotulong, Gratia Whaitney Injili Ezra Matthew Warouw Runturamby Ferdinan I. Sangkop Filisia R. Terok Gladly Caren Rorimpandey Glenn Maramis Harisondak, Della Deviani Hasibuan, Alfiansyah Inda, Inda Irene Realyta Halldy Trosi Tangkawarow Julio Tabea Kambey, Waraney Maurits Karouw, Rafter Johanes Kawuwung, Prillya Chrisanta Esthefania Kembuan, Stevanus Kowaas, Jonathan Krina Crisila T. Mawuntu Kumajas, Sondy C. Kumajas, Sondy Campvid Maramis, Glenn David Paulus Martina Lorensa Moningkey, Efraim Moningkey, Efraim R. S. Moningkey, Efraim Ronald Stefanus Muhammad Lukmansyah Sulaiman Nanda, Agus Estepen Nasib Marbun Ngalo, Semuel Fendy Ningsi, Indi Rahayu Olivia Kembuan Pagala, J. Rifaldo Palandeng, Fanuel Juventino Panambunan, Stiven Pandoh, Kevin Mclaren parabelem tinno dolf rompas Pateh, Qnardo Delon Peggy Veronica Togas Pesik, Luisa Maria Quido Conferti Kainde Rahanubun, Basilius Mario Vikranta Ranti, Marthasya Chantika Putri Ratu, Regina Gloria Rumayar, Eroldy Rumengan, Maria Rina Rumondor, Geralda Lucia Saknohsiwy, Lorida Julensa Holiba Sondakh, Inggried Rillya Sondy C. Kumajas Tagah, Christenia Tendean, Chelsea Aprilia Tinambunan, Medi Hermanto Tiwi, Heri Susan Tular, Feonri Vivi Peggie Rantung Wagey, Imanuel Hiskia Wahyuni, Reski Waraney Maurits Kambey Wijayanti, Wilma Wowor, Hanna Elisabeth