Article Per Year (5 Year)
p-Index From 2021 - 2026
1.376
P-Index
This Author published in this journals
All Journal JOIV : International Journal on Informatics Visualization JOURNAL OF APPLIED INFORMATICS AND COMPUTING ILKOM Jurnal Ilmiah ScientiCO : Computer Science and Informatics Journal Prima Abdika: Jurnal Pengabdian Masyarakat Jurnal Bimbingan dan Konseling Islam
Amriana Amriana
Unknown Affiliation
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Other

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 9 Documents
Search

 1 
PENDETEKSIAN KERUSAKAN PRINTER MENGGUNAKAN METODE FORWARD CHAINING Amriana, Amriana; Dodu, Albrecht Yordanus Erwin; Mas, Pebri Ramadhan
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2852.449 KB) | DOI: 10.33096/ilkom.v12i1.523.47-57

Abstract

As technology advances, almost everyone has a printer in their home as a printing aid. but not a few printers that have small or big problems. with this technological advancement, almost all people have personal smarthpones. This research aims to build a moble based system where users can solve printer problems by using applications on their smartphones based on knowledge obtained from experts created by the Forward Chaining method. This expert system can detect nine different types of printers owned by Canon manufacturers with total of 26 Problem and 38 symptomps and has an 80 % of accuracy.
Rancang Bangun Sistem Presensi Menggunakan Sidik Jari (Studi Kasus Pada Lembaga Pemasyarakatan Klas II-A Palu) Amriana, Amriana; Hendra, Andi; Bakhtiar, Arfiah
ScientiCO : Computer Science and Informatics Journal Vol 1, No 1 (2018): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dermatoglyphic has been widely applied to recognize a person's identity, because people basically have something unique or characteristic possessed only by themselves. This raises the idea of making it a unique identity. This is useful for employees presence applications, especially at Lembaga Pemasyarakatan Klas IIA Palu which is still doing manual presence. This system provides the division of labor time and wereable to detect the fingerprints of employees using a fingerprint scanner. The system was made in several stages of the input fingerprint image, binarization fingerprint image, fingerprint image quality improvement, and matching fingerprint image. Improvements to the quality of the fingerprint image consists of the surgical process of mathematical morphology opening and erosion. The detection process of the fingerprint image used euclidean distance measurement points minutiae. The test results indicate that the presence system accuracy using euclidean distance measurement could detect the fingerprint image by 89% from 20 fingerprint data with 5 times testing for each data.
Penentuan Harga Tandan Buah Segar (TBS) Kelapa Sawit Menggunakan Metode Fuzzy Logic Amriana, Amriana; Kasim, Anita Ahmad; Maghfirat, Maghfirat
ILKOM Jurnal Ilmiah Vol 12, No 3 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v12i3.619.236-244

Abstract

Tujuan penelitian ini adalah membuat sistem penentuan harga Tandan Buah Segar kelapa sawit menggunakan metode Fuzzy Logic. Perkebunan kelapa sawit adalah perkebunan yang memiliki sumber daya alam yang dapat menghasilkan keuntungan besar, karena digunakan sebagai minyak goreng dan masih banyak lagi. TBS kelapa sawit terdiri dari Crude Palm Oil (CPO) yaitu minyak daging buah dan Palm Kernel (PK) yaitu inti biji sawit. Penelitian ini membuat sistem menggunakan 5 variabel input yaitu harga CPO, harga IKS, Indeks K, Rendemen CPO dan Rendemen IKS, serta satu variabel output yaitu harga TBS kelapa sawit. Sistem ini menggunakan metode Fuzzy Logic karena dalam penelitian ini terdapat suatu fuzzy yang dapat ditentukan, yaitu harga TBS kelapas sawit. Sistem ini menggunakan 100 data untuk diuji menggunakan MAPE sehingga didapatkan  nilai persentase sebesar 85.75%. Sedangkan nilai rata-rata dari selisih antara data aktual dengan data hasil fuzzy mamdani adalah sebesar 17852 dengan rata-rata persentase kesalahan dari fuzzy mamdani adalah sebesar 14.25%. Hasil dari sistem ini adalah variabel output harga TBS kelapa sawit berdasarkan 5 variabel input. Metode Fuzzy Logic Mamdani menentukan hasil dari nilai yang tidak pasti. Proses fuzzy logic dimulai dari pembentukan himpunan fuzzy, kemudian aplikasi fungsi implikasi, lalu tahap komposisi aturan, setelah itu tahap deffuzifikasi.
STUDI KOMPARASI METODE WEIGHT PRODUCT DAN SIMPLE ADDITIVE WEIGHTING DALAM SISTEM PEMILIHAN ALAT KONTRASEPSI BERBASIS WEB Pangara, Takdir S; Anshori, Yusuf; Amriana, Amriana
ScientiCO : Computer Science and Informatics Journal Vol 4, No 1 (2021): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Controlling birth is closely related to the use of contraceptives for their partners. However, the problem they often face is that they struggle to choose an effective contraceptive that suits their body condition. This is not only caused by the limited methods available but also because they do not know the requirements and safety of these contraceptive methods. This study aims to implement and analyze the comparison of the Weight Product (WP) method and the Simple Additive Weighting (SAW) method in a web-based contraceptive selection decision-making system. This system can work well in determining the right contraception for a married couple. In the time testing process, the implementation of the SAW method has an average execution time of 1.8784 s while the WP method has an average execution time of 0.3340 s. Based on the research results, the WP method is slightly faster than the SAW method in carrying out the calculation process in the decision support system for the selection of contraceptives. 
Optimization of Herbal Plant Classification Using Hybrid Method Particle Swarm Optimization With Support Vector Machine Amriana, Amriana; Ilham, Amil Ahmad; Achmad, Andani; Yusran, Yusran
JOIV : International Journal on Informatics Visualization Vol 9, No 1 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.1.2576

Abstract

The classification process applied in this study helps identify the many kinds of herbal plants. Herbal plant leaf features are used based on color, shape, and texture. Particle Swarm Optimization and Support Vector Machine (PSO-SVM) hybridization are applied in the classification process to increase classification and identification accuracy. A well-liked metaheuristic approach for solving optimization issues is Particle Swarm Optimization (PSO). Particles look around the search area for the best responses.  A particle swarm is initially initialized randomly within the search area via the PSO algorithm. Every particle's mobility is determined by both its own experience and the experiences of the other particles in the swarm. Each particle keeps track of the best solution it has ever found and the swarm's most extraordinary remedy that has so far been discovered. The Hybrid approach concurrently selects features for the SVM and optimizes its parameters. The kernel function's gamma value non-linearly maps an input space to a high-dimensional feature space. At the same time, the C parameter determines the trade-off between fitting error minimization and model complexity. The Gaussian kernel parameter is set to determine the optimal parameter value of the RBF kernel function. Feature selection solves the issue by eliminating redundant, associated, and irrelevant features. A confusion matrix is utilized in the evaluation to gauge the system's performance. The results demonstrated an improvement in accuracy, with the hybrid PSO-SVM using test data achieving an accuracy of 98% compared to the SVM method, achieving a 91% accuracy.
Implementation of ResNet-50-Based Convolutional Neural Network For Mobile Skin Cancer Classification Asriani, Asriani; Lapatta, Nouval Trezandy; Nugraha, Deny Wiria; Amriana, Amriana; Wirdayanti, Wirdayanti
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.9696

Abstract

The skin is one of the most important parts of the human body, serving vital functions such as protecting internal organs from injury, shielding against direct bacterial exposure, regulating body temperature, and more. However, the skin is also susceptible to diseases, one of which is skin cancer. Skin cancer can be extremely dangerous if not treated promptly, as it can lead to death. Therefore, early detection is crucial. This study proposes a technology-based solution by classifying skin cancer using a convolutional neural network (CNN) with a ResNet50 architecture implemented into a mobile application via a REST API using Flask. The HAM10000 dataset, consisting of 10,015 skin lesion images across seven classes, was used for model training. Various testing scenarios were conducted to determine the optimal parameter combination. The best results were achieved with an accuracy of 83.84%, precision and recall of 83%, and an F1-score of 83%, using a training data configuration of 70%, dropout of 0.4, and a batch size of 64. The model implemented in this Android application can perform early detection of skin cancer quickly, practically, and easily accessible to the general public, though healthcare professionals must still supervise it. However, although this model can assist users in making early predictions, the prediction results from this model are only a tool for early detection and do not replace clinical diagnosis by professional medical personnel.2) Figure 8 shows the display for taking pictures through the gallery or camera. Users can choose the image they want to upload from the gallery or the camera to be analysed and predicted by the model.
Pemberdayaan Anak Korban Perceraian Melalui Pengolahan Hasil Laut Berbasis Online Menuju Kemandirian Ekonomi Kreatif Fauzi, Fathul; Fanan, M Athoiful; Amriana, Amriana
Prima Abdika: Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2024): Volume 4 Nomor 1 Tahun 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar Universitas Flores Ende

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/abdika.v4i1.3350

Abstract

This assistance aims to determine the form and impact of empowering children who are victims of divorce in the Ujung Pangkah Gresik sub-district through online-based processing of seafood towards creative economic independence. From this assistance, it is hoped that it will be able to create economic independence for children who are victims of divorce and it is hoped that it will be able to suppress the destructive potential that befalls children who are victims of divorce. The problem formulation of this assistance is what is the form and impact of Empowering Children of Divorce Victims in Ujung Pangkah Gresik District through Online-Based Sea Product Processing Towards Creative Economy Independence? This assistance uses an Asset Based Community Development (ABCD) approach and is carried out in Ujung Pangkah Gresik District. This assistance involved 15 children who were victims of divorce in Ujung Pangkah Gresik District. It can be concluded that this form of empowerment assistance through making products from marine products in Ujung Pangkah Gresik District is able to provide change for children who are victims of divorce. There are three products produced and marketed, namely crackers, ebi shrimp and fish chunks. The impact of this assistance on children who are victims of divorce is that they have had positive activities so that they no longer track, consume drugs and buskers. Apart from that, this assistance can increase the creative economic independence of children who are victims of divorce.
Narrative Therapy Training to Improve the Skills of Companions in Handling Victims of Violence Against Women Suwatah, Suwatah; Amriana, Amriana; Fanan, M. Athoiful; Putri, Rahmah Widya
Jurnal Bimbingan dan Konseling Islam Vol. 13 No. 1 (2023): June
Publisher : Jurusan Bimbingan dan Konseling Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/jbki.2023.13.1.01-10

Abstract

The aim of this training activity is to improve the skills of accompanying victims of violence against women. The method used is qualitative with a case study design. Research subjects are those who are involved in the activities studied, understand and know information related to this research. Based on this, the research subjects in this study were selected using the following criteria: (1) Narrative therapy training participants. (2) Participants who take part in narrative training from start to finish and are willing to be interviewed. The data collection techniques used in this research are observation, interviews and documentation. The results obtained are that there are 9 stages in narrative therapy which include: (1) delivery of material; (2) participant grouping; (3) participants discuss the review of narrative therapy and the cases they each bring; (4) group members discuss the review of narrative therapy material that will be presented. Then the results of the discussion are written on flipchart paper to be presented later; (5) participants are asked to dissect the initial manuscript. The initial manuscript was dissected and the root of the problem was looked for; (6) narrative therapy training participants were asked to deconstruct the initial script that they had analyzed on the first day; (7) participants are directed to discuss unique outcomes and reconstruct competing narratives; (8) outcomes, assembling unique outcomes into new narratives, and strengthening new narratives; (9) The presenter interrupted the participants to express their impressions during the narrative therapy .    
Bimbingan Kelompok Untuk Meningkatkan Motivasi Berprestasi Pada Anak Panti Sosial Ramadhoni, Sri Rahmah; Mungin Eddy, Wibowo; Cahyani, Anugrah Intan; Amriana, Amriana
Jurnal Bimbingan dan Konseling Islam Vol. 13 No. 1 (2023): June
Publisher : Jurusan Bimbingan dan Konseling Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/jbki.2023.13.1.11-24

Abstract

The purpose of this research is to determine the effectiveness of group guidance to increase achievement motivation of Children's Orphanage "Aisyiyah" Semarang City. The research method is an experiment using the design of one group pre-test and post-test by involving 26 Children's Orphanage "Aisyiyah" Semarang City who had low achievement motivation. The data collection used was achievement motivation scale. The data were analyzed using dependent t test analysis using paired sample t test. The results showed that the achievement motivation of orphanage children before group guidance was carried out the average (mean) of children's achievement motivation was 19.54. After group guidance, the average (mean) of children's achievement motivation increased by 31.38. The test results to determine whether group guidance is effective in increasing children's achievement motivation that there is a difference in the average value of children's achievement motivation levels before and after group guidance is -11.846. The magnitude of the calculated t value is -21.946 with a probability of 0.000. This means that there is a significant difference in the level of children's achievement motivation before and after group guidance. These findings confirm that group guidance can be applied to increase student achievement motivation.
Co-Authors Amil Ahmad Ilham Andani Achmad Andi Hendra Anita Ahmad Kasim Asriani Asriani, Asriani Aviah, Charishatul Bakhtiar, Arfiah Basyid, Abd Cahyani, Anugrah Intan Deny Wiria Nugraha Dodu, Albrecht Yordanus Erwin Fanan, M Athoiful Fanan, M. Athoiful Fauzi, Fathul Juliestiany, Nur Cindy Laela, Faizah Noer Maghfirat, Maghfirat Mas, Pebri Ramadhan Mungin Eddy, Wibowo Nouval Trezandy Lapatta Pangara, Takdir S Putri, Rahmah Widya Sri Rahmah Ramadhoni Suwatah, Suwatah Wirdayanti Yusran Yusran Yusuf Anshori