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All Journal Jurnal Ilmu dan Teknologi Kelautan Tropis jurnal niara Jurnal Manajemen Pendidikan Journal of Geoscience, Engineering, Environment, and Technology Jurnal Keperawatan Muhammadiyah Jurnal Ilmiah Keperawatan (Scientific Journal of Nursing) Journal of Islamic Nursing MAT-EDUKASIA Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar Jurnal Ilmu Sosial dan Ilmu Politik Medika Alkhairaat : Jurnal Penelitian Kedokteran dan Kesehatan Akta Agrosia Diagnosis: Jurnal Ilmiah Kesehatan Journal of Classroom Action Research Indonesian Journal of Data and Science Journal of Public Administration and Government (JPAG) JOELS: Journal of Election and Leadership JOURNAL SCIENTIFIC OF MANDALIKA (JSM) Aksioma International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Kependidikan Islam Jurnal Minfo Polgan (JMP) International Journal of Islamic Education, Research and Multiculturalism (IJIERM) Formosa Journal of Science and Technology (FJST) Jurnal Riset Ilmu Hukum Jurnal Algoritma jurnal administrasi politik dan sosial SIMBOL : Jurnal Administrasi Publik dan Pemerintahan Abdimas Indonesian Journal Jurnal Ilmiah Lintas Kajian Didaktika Aulia Bandung Conference Series: Law Studies Economics and Business Journal Abadi: Jurnal Ahmad Dahlan Mengabdi Jurnal Manarang Manajemen dan Bisnis Journal Of Computer Science And Technology KHIDMAH: Jurnal Pengabdian kepada Masyarakat HUMANITIS : Jurnal Humaniora, Sosial dan Bisnis OKTAL : Jurnal Ilmu Komputer dan Sains MULTIPLE: Journal of Global and Multidisciplinary Al-Zayn: Jurnal Ilmu Sosial & Hukum Journal of Education Management Research Jurnal Media Akademik (JMA) TEKNOS: Jurnal Pendidikan dan Teknologi Setawar Abdimas Jurnal Indonesia : Manajemen Informatika dan Komunikasi The International Journal of Medical Science and Health Research Escalate : Economics and Business Journal KAMALIYAH : Jurnal Pendidikan Agama Islam The Indonesian Journal of General Medicine Journal Of Sustainable Education (JOSE) The Indonesian Journal of Computer Science Efficient: Indonesian Journal of Development Economics LISANI : Jurnal Kelisanan Sastra dan Budaya International Journal of Community Services Adidaya : Jurnal Aplikasi Pendidikan dan Sosial Budaya LEADERIA : Jurnal Manajemen Pendidikan Islam Jurnal Ilmu Administrasi Publik QAZI : Journal of Islamic Studies Program Pemberdayaan Masyarakat Nursing Arts Journal of Community Engagement in Health NERS Jurnal Keperawatan Jurnal Elektronik Pendidikan Matematika Tadulako Jurnal of Islamic Economic Studies Jurnal Pendidikan Islam Al Ikhlas Ash-Shidqu: Jurnal Ekonomi Syariah AKSIOMA Journal of Golden Generation Economic Krisnadwipayana International Journal of Management Studies
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Journal : Indonesian Journal of Data and Science

 1 
Implementasi Metode Visekriterijumsko Kompromisno Rangiranje (VIKOR) Pada Seleksi Program Keluarga Harapan Komponen Pendidikan Berbasis Web Ulhaq, Muhammad Dhiya Ulhaq; Irawati
Indonesian Journal of Data and Science Vol. 2 No. 1 (2021): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ijodas.v2i1.30

Abstract

Program Keluarga Harapan adalah program pemberian bantuan sosial kepada keluarga miskin yang ditetapkan sebagai penerima. Dalam penelitian ini, sistem pendukung keputusan digunakan untuk mendapatkan hasil keputusan terbaik dengan menggunakan Metode Vikor Multi-Criteria Optimization and Compromise Solution yang merupakan salah satu dari sekian banyak teknik MCDM dalam menentukan hasil keputusan terbaik. Tahap dalam penelitian ini meliputi penentuan Alternatif dan Kriteria selanjutnya dibentuk kedalam matriks yang akan di normalisasi. Tahap berikutnya matriks hasil normalisasi akan dikalikan dengan bobot kriteria yang telah ditentukan sehingga dalam proses selanjutnya dapat dihitung nilai Utility Measure (S) dan Regret Measure (R). Tahap terakhir menghitung indeks Vikor untuk mendapatkan nilai indeks setiap Alternatif, lalu nilai tersebut akan di ranking berdasarkan indeks terbaik. Semakin kecil nilai indeks maka semakin baik hasil keputusan. Berdasarkan hasil pengujian yang telah dilakukan menggunakan teknik Blackbox Testing diperoleh hasil perancangan sistem telah berjalan sesuai perencanaan serta dapat menentukan solusi terbaik pada setiap alternatif.
A Comperative Study on Efficacy of CNN VGG-16, DenseNet121, ResNet50V2, And EfficientNetB0 in Toraja Carving Classification Herman; An'nisa Pratama Putri; Megat Norulazmi Megat Mohamed Noor; Herdianti Darwis; Lilis Nur Hayati; Irawati; Ihwana As’ad
Indonesian Journal of Data and Science Vol. 6 No. 1 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i1.220

Abstract

Introduction: Passura', or Toraja carvings, are an essential element of the cultural heritage of the Toraja people in Indonesia. These carvings feature complex motifs rooted in nature, folklore, and spiritual symbolism. This study aims to evaluate the efficacy of four Convolutional Neural Network (CNN) architectures—VGG-16, DenseNet121, ResNet50V2, and EfficientNetB0—in classifying seven traditional Toraja carving motifs. Methods: A dataset of 700 images was collected and categorized into seven motif classes. The dataset was split into 80% for training and 20% for validation. Each CNN model was trained for 25 epochs with standard pre-processing, including resizing to 224×224 and normalization. Performance evaluation was conducted based on validation accuracy and confusion matrix analysis to assess classification precision and model overfitting. Results: EfficientNetB0 achieved the highest validation accuracy of 98%, although signs of overfitting were observed. ResNet50V2 followed closely with a validation accuracy of 95.33% and demonstrated the most balanced classification results across all motif categories. VGG-16 and DenseNet121 achieved 94.67% and 81.82%, respectively. Confusion matrix analysis confirmed the robustness of ResNet50V2 in correctly identifying complex patterns. Conclusions: The findings indicate that ResNet50V2 provides a reliable balance between accuracy and generalizability for classifying Toraja carvings, making it suitable for digital preservation of cultural heritage. EfficientNetB0, while achieving higher accuracy, may require additional regularization to avoid overfitting. This study contributes to the development of AI-driven cultural documentation and suggests future research with larger and more diverse datasets to improve model robustness
Performance Analysis of Random Forest and Naive Bayes Methods for Classifying Tomato Leaf Disease Datasets Ananda, Rima; Lilis Nur Hayati; Irawati
Indonesian Journal of Data and Science Vol. 6 No. 2 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i2.252

Abstract

Tomato productivity is often disrupted by diseases affecting tomato plants, such as early blight and late blight, which can significantly reduce crop yields. Early detection of these diseases is crucial to prevent greater losses. This study compares two machine learning-based classification methods, namely Random Forest and Naïve Bayes, in identifying diseases on tomato leaves. The dataset used consists of 1,255 images obtained from Kaggle, with the data divided into two classes: early blight with 627 images and late blight with 628 images, which then underwent preprocessing and data splitting with three ratio scenarios (70:30, 80:20, and 90:10) for training and testing. This study shows that it only achieved an accuracy of 76.98%, while the Random Forest method had the highest accuracy of 92.86% in the 90:10 data ratio scenario. Thus, the Random Forest method proves to be more effective in classifying tomato leaf diseases compared to Naïve Bayes. The implementation of this model can help farmers detect diseases more quickly and accurately, thereby increasing agricultural productivity.
Performance Analysis of Convolutional Neural Networks and Naive Bayes Methods for Disease Classification in Tomato Plant Leaves Nadya Salsabilah; Irawati; Hayati, Lilis Nur
Indonesian Journal of Data and Science Vol. 6 No. 3 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i3.255

Abstract

Tomatoes are one of the most widely cultivated and consumed crops, but they are highly susceptible to disease attacks. The main diseases that often attack tomato plants are early blight and late blight. This study compares two machine learning-based classification methods, namely Convolutional Neural Network (CNN) and Naïve Bayes, in detecting tomato leaf diseases. The dataset used consists of 1,255 images obtained from Kaggle, which have been processed and divided into three data ratio scenarios (70:30, 80:20, and 90:10) for training and testing. The results showed that CNN is superior to Naïve Bayes, with the highest accuracy reaching 83.01%, while Naïve Bayes only achieved 34%. With better stability and accuracy, CNN has the potential to help farmers detect diseases more quickly and increase agricultural productivity
Co-Authors Abdul Kadir Jaelani Jaelani Abdul Mirad Abdurahman Abdus Salam, Abdus AFRIANDI Agus Sarifudin Aguswan Ahmad Hifni Ali Ahmad Rizqul Akbar Ai Lita Al Jauzi, Nailan Kinan Alfat, Sayahdin Alvina Yolanda Alvinto, Bintang Alwi Alya Amelia An'nisa Pratama Putri Ananda, Rima Anandra, Vioni Andi Fauziah Astrid, Andi Fauziah Andi Hilal Miftah Fauzan Andi Primafira B. Eka Andri Rusta Andri Syahfikri Andriani, Rita ANDRIANSYAH Anggraini Anggraini ani, Inriani ANISAH Anjar Budi Astoro Ardiansyah Arlistria Muthmainnah Arman Artiasari, A. Atika Pratiwi Ayu Levia Tryana Baharuddin Baharuddin Bahdat Baso Amri Busaeri, Mohamad Cahyono, Tomy Dwi Chahyani, Rani Chatarina Umbul Wahyuni Chikmah Dona Sunita Christianto, Leonardus Cinthia Kartikaningtias Dahlan Lamabawa Dasa Ismaimuza DEDE SUHENDI Dessy Mita Mariana Malau Devi Delawati Devita Rizkiani Dewiyanti Dian Rahmayanti Rivai Dini Fitriani Dwi Herlinda Edy Purnomo Eko Wiji Pamungkas Elfirza Rosiana Elza Yuliyani Engel Hukunala Enny Radjab Ergawati Erinaldi Erni Lubis Erwanda, Alifianisa Erwin Erwin Mardinata Fabanyo, Rizqi Alvian Fadila Khairani Fajarwaty Kusumawardhani Fathurrahmad Fatma, Fatmawati Ferinaldi Fidella Irtza Nathania Fikri, Yudistia Teguh Ali Fitra Yeni Futri Ayu Wulandari Gaffar, Andi Widya Mufila Galih Maulana Azkiya Gusrialnita, Cindi Haerani, Dian Handoko, Tito Haruddin Hasan, Erzam S Hasri, Diah Anggeraini Hasri Herdianti Darwis Herman Herry Imran Hilman Alawi, Muhammad Fadillah Hilmi Nur Azizah Ihwana As’ad Ikhwan Ahmad Fiqqih Imanuela Indah Pertiwi Intan Ariyani Intan Liana Iqbal, Firdaus Muhamad Irfan Suliansyah Irfandi Rahman Ismu Purwaningsih, Dewi Jahmat Jannatun Aliyah Jazil Baskara Junaidi Junaidi Katherine Kho Kelpin Mendonga Khairun Nisa Khusni Albar, Mawi Kistan Kistan Kundaryanti, Rini La Ode Marhini Lembah Andriani Lilis Nur Hayati lilis nurhayati M. Oscar Madyunus, E. Magfirah, Magfirah Maliki, Budi Ilham MARDIANA Mardiana Mas'ud, Alfian Mas’ud, Alfian Maulid Adha, Wahyu Megat Norulazmi Megat Mohamed Noor Mhd Fajri Mia Audina Moh rizal asry Yusuf Muammar Khaddafi Mude, Muh. Aliyazid Muh Asrul Muh. Ashdaq Muh. Nur Muhammad Akmal Imanullah Muhammad Azhar Muhammad Fauzan Muhammad Marcelino Gustama Muhammad Naufal Aziz Muhammad Nawab Alawi Muhammad Shaleh Murniati, Sarly Musni Nadya salsabilah Nasihah, Nani Ni Nyoman Wulan P. I Ninda Adha Givari Nirwana Wulandari Nizarrahmadi Novi Damayanti, Novi Novia Sandra Dewi Novriani, Fitria Nur Ariyandani Nur Fitriayu Mandasari Nur Indriyani, Siwi Nur Izzati Nurazizah nurpeni Nursyam Anwar NURUL HIKMAH Nurwandayani Olivia Putri Chairunnisa Parid Abdulloh Pratiwi Khairunnisa Puput Juliarna Syarif Purwasari, Eka Puspitafuri, Cindy Putra Arya Alfansyah Ray Rahmad Zaki Rahmat Ghazali Rahmat Sewa Suraya Ramadhan, Muhammad Aryo Ravi Joentera Rayessandi Retnaningtyas, Erma Retno Palupi Yonni Siwi Reza Muhammad Rizqi Riana Anggraeny Ridwan Rifda Ningsi Rifma Rika Arfiana Rikar Parenden Rini Setyaningsih Ritonga, Elda Nurmawan Rivai, Dian Rahmayanti Rizal Zaki Ramadhan Rosalina Rosliana Eso Rosmiati Daya Rusli Ruslihardy Ryan Suarantalla Sabrifha, Eli Sampeata, Sulkifli Samsul Samsul Salam sari, sari susanti Satria Nugraha Sibulo, Megawati Siti Fatimah Siti Helmyati Siwi Nur Indriyani Sri Rahcamawati Askar Sri Utami Permata Sri Yeni St. Malka Sukur Sulton, Aan Sunengsih Syamsudin Syamzaimar Taufiq Mathar Titin Wahyuni Batamba Trio Saputra Trio Saputra Ulhaq, Muhammad Dhiya Ulhaq Wahdaniah Wahyu Maulid Adha Widia Astuti Widya Khoirun Nisa Widyawati, Dewi Wijaya, Jatnika Wilia Ismiyarti Wulan Ayuandiani Wulandari, Futri Ayu Yahya Yosita Sipapa’ Yumriani YUNUS yusuf, Febrianti Zahara, Fika Zahra Nabila Sukmana Zulaika, Amanda