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CASE-BASED REASONING PEMBERIAN REKOMENDASI PROFESI BERDASARKAN MINAT DAN BAKAT SISWA MENGGUNAKAN SIMPLE MATCHING COEFFICIENT SIMILARITY Made Hanindia Prami Swari; Rahel Widya Arianti; Faisal Muttaqin
SINTECH (Science and Information Technology) Journal Vol 3 No 1 (2020): SINTECH Journal Edition April 2020
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (404.307 KB) | DOI: 10.31598/sintechjournal.v3i1.505

Abstract

One of the applications of technology in psychology is a system for determination of interest and talent systems. The system of determining interests and talents in this case can be applied in determining professional recommendations based on the interests and talents of a high school student who will continue to lectures or jobs in accordance with their fields. A person's interests and talents can be known from habits, preferences and hobbies. The Case-based Reasoning system created in this study uses cases from respondents which is collected using a questionnaire containing some questions about a person's interest in. To match new cases with old cases stored on a case basis, the authors use the Simple Matching Coefficient similarity method. The system will recommend a suitable work after the user inputs his preferences and habits. based on the results of the tests conducted, it was found that the system had produced the same calculation between the values generated by the system and manual calculations. While based on testing that conducted on data test, it was found that the system was able to provide an accuracy value of 83.33%.
SISTEM INFORMASI MANAJEMEN PROYEK MENGGUNAKAN FRAMEWORK LARAVEL VUEJS QUASAR PADA UNICODE INDONESIA Lugito, Lugito Michael Imanuel Prasetya; Faisal Muttaqin; Fawwaz Ali Akbar
Jurnal Informatika dan Sistem Informasi (JIFoSI) Vol. 1 No. 2 (2020): JIFoSI Volume 1, No 2: Juli 2020
Publisher : Fakultas Ilmu Komputer Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (512.667 KB)

Abstract

Unicode Indonesia adalah perusahaan yang melayani jasa pembuatan perangkat lunakmaupun aplikasi yang dapat digunakan baik pada 1 hingga multi platform. Saat iniperusahaan memerlukan sistem yang dapat memantau kinerja pegawai didalamnyakhususnya dalam bidang produksi karena saat ini prosesnya masih dilakukan secaramanual oleh pimpinan perusahaan. Pengelolaan manual dilakukan pada grup sosial mediadengan masing-masing pegawai memberikan rencana kerja saat pagi hari dan laporanyang sudah dikerjakan saat sore hari menjelang jam pulang kerja. Oleh karena itu sistempengelolaan manual harus mulai dirubah semenjak perusahaan ini akan semakinberkembang dengan jumlah pegawai yang semakin banyak. Sistem dibuat menggunakanframework Laravel, VueJs, dan Quasar berdasarkan teknologi baru yang ditemukan olehtim R&D (Research and Development) perusahaan. Setelah sistem dibuat, sistem akandiuji menggunakan blackbox system testing. Hasil pengujian menunjukkan bahwa sistemlayak digunakan sehingga sistem ini dapat membantu perusahaan dalam memenuhikebutuhannya.Kata kunci: sistem informasi, manajemen proyek, laravel, vuejs, quasar
EVALUASI KINERJA KEUANGAN PERBANKAN SYARIAH DI INDONESIA MENGGUNAKAN METODE RGEC DAN ISLAMICITY PERFORMANCE INDEX (IPI) Wiwin Yulistiani; Nurul Haq; Faisal Muttaqin
J-EBI: Jurnal Ekonomi Bisnis Islam Vol 2, No 01 (2023): J-EBI: JURNAL EKONOMI DAN BISNIS ISLAM
Publisher : J-EBI (Jurnal Ekonomi Bisnis Islam)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57210/j-ebi.v2i1.232

Abstract

ABSTRACT This study aims to determine the financial performance of Islamic banking in Indonesia using the RGEC method and the Islamicity Performance Index.To find out this, researchers used a descriptive quantitative method with secondary data collection techniques in the form of financial reports that are available on the official website of each Islamic bank for the 2017-2021 period. The samples used were 5 Islamic Banks. The results of financial performance research using the REC method (Risk Profile, Earnings and Capital), namely NPF, FDR, BOPO and CAR show that the five banks are in good condition. However, the Earnings ratio (ROA) of Bank Muamalat Indonesia is considered Not Good with an average percentage of 0.04% and the other four banks are considered Fairly Good with an average percentage of ≥0.05%. The results of the research on financial performance using the Islamicity Performance Index method on the Profit Sharing Ratio show that the four Islamic banks are in good condition and Bank BTPN Syariah is in a bad condition with an average percentage of 0.024% less than 30%. The Zakat Performance Ratio and Equitable Distribution Ratio of the five Islamic banks are stated to be very unfavorable. In Islamic Investment vs. Non-Islamic Investment and Islamic Income vs. Non-Islamic Income, the five Islamic banks are stated to be very good with an average percentage of ≥50.Keywords: Evaluation, RGEC, Islamicity Performance Index
PENGEMBANGAN PRODUK OLAHAN SAMBEL SERAI OLEH KELOMPOK WANITA TANI (KWT) NANAS BUNGGARAN PRABUMULIH Marini; Faisal Muttaqin; Muhammad Faris Afif; Yudi Rudi
Journal of Multidiscipline and Equality Vol. 2 No. 1 (2025): JME: Journal of Multidiscipline and Equality
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70656/jme.v2i1.265

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) merupakan sektor penting yang memainkan peran vital dalam pembangunan dan pertumbuhan ekonomi di berbagai negara. Kontribusi UMKM dalam perekonomian nasional sangat strategis karena jumlah unit usahanya yang besar mampu mendorong peningkatan penyerapan tenaga kerja, serta membantu mengurangi tingkat pengangguran dan kemiskinan. Sebagai upaya pemerintah dalam mengatasi kemiskinan di Indonesia, dibentuklah lembaga yang menyasar pemberdayaan perempuan, salah satunya melalui Kelompok Wanita Tani (KWT) sebagai wadah yang memberdayakan perempuan untuk aktif dalam berbagai kegiatan, seperti pemanfaatan lahan pekarangan dan pengolahan hasil sumber daya lokal. Produk-produk tersebut berasal dari hasil pertanian yang dipasarkan secara lebih luas, sehingga dapat meningkatkan produk olahan UMKM berbasis pertanian dan mendorong peningkatan pendapatan rumah tangga di pedesaan. Penelitian ini merupakan penelitian lapangan dengan pendekatan kualitatif. Teknik pengumpulan data dilakukan melalui observasi, wawancara, dan dokumentasi dengan memanfaatkan data primer dan sekunder. Hasil penelitian menunjukkan bahwa pengembangan produk sambel serai di KWT Nanas Bunggaran belum maksimal, dilihat dari aspek usaha dan hasil riset produk berdasarkan wawancara. KWT ini telah memberikan kontribusi positif terhadap perekonomian lokal, seperti membuka lapangan kerja dan memberikan kesempatan bagi perempuan untuk mengembangkan pengetahuan dan keterampilan. Dari perspektif ekonomi Islam, pengembangan produk sambel serai oleh KWT Nanas Bunggaran telah memenuhi prinsip-prinsip syariah, baik dari sisi kehalalan produk, kualitas, proses produksi, sumber modal, lokasi usaha, bahan baku, hingga manfaat produk.
Implementation of CNN Method with Otsu Thresholding Preprocessing for Pneumonia Detection Surya Afriza; Noval Aditya Candra Pratama; Muhammad Abdul Aziz; Faisal Muttaqin
JITTER: Jurnal Ilmiah Teknologi dan Komputer Vol. 7 No. 1 (2026): JITTER, Vol.7, No.1, April 2026
Publisher : Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana

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

Abstract

Pneumonia is a lung infection requiring rapid diagnosis to prevent fatal complications, yet X-ray image quality often hinders manual detection accuracy. This study proposes a hybrid approach using a Convolutional Neural Network (CNN) optimized with Otsu Thresholding for lung area (Region of Interest) segmentation. Experiments were conducted on 1,840 images from a secondary dataset. Evaluation results demonstrate a highly balanced and superior model performance, achieving 96% Recall, 91% F1-Score, and 96% Accuracy. The alignment between accuracy and recall values indicates that the model possesses equally good sensitivity and specificity in detecting both positive and negative cases. These findings prove that Otsu pre-processing effectively assists the CNN in focusing on pathological features, making this method a promising automated diagnostic solution.
Analysis of Differences in Consumer Perceptions of Service Quality from an Islamic Perspective (Study of Panorama Traditional Markets and Hypermart Modern Markets) Nana Aprina; Desi Isnaini; Faisal Muttaqin
Sharia Economic and Management Business Journal (SEMBJ) Vol. 5 No. 1 (2024): Sharia Economic and Management Business
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/sembj.v5i1.1192

Abstract

The purpose of this research is to determine the differences in consumer perceptions of service quality, namely: the direct evidence dimension (tangibles), the reliability dimension, the responsiveness dimension, the assurance dimension, and the empathy dimension in the traditional market "Panorama ” and the Modern Market “Hypermart”. To test this, researchers used quantitative methods with primary data collection techniques in the form of questionnaires distributed to 200 respondents. The data analysis technique used is an independent sample t-test using the SPSS version 25 program. From the results of the research and discussion, it was found that differences in consumer perceptions of service are found in the dimension of attention (empathy) with a significance value (sig-2-tailed) of 0.003 for the empathy variable. at a significance level of 5% this value is significant because the significance is 0.003 > 0.05 and for the dimensions of tangibles, reliability, responsiveness, and assurance there is no difference in perception because the significance value is greater than 0.05. With this research, it is known that there are differences in perceptions in the empathy dimension and it is hoped that this can become a benchmark for improving service performance.
Analysis of Human Resources Performance in the Field of Umrah Travel Administration (Zafa Tour) PT. Zafa Mulia Mandiri Bengkulu Khairul Anwar; Idwal B; Faisal Muttaqin; Zelvia Liska Afriani
Sharia Economic and Management Business Journal (SEMBJ) Vol. 4 No. 3 (2023): Sharia Economic and Management Business
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/sembj.v4i3.1200

Abstract

Administration in a company holds considerable control, coordinating all the interests and objectives of the organization or company that is carried out so that it can be united and can be in line with the same place and time, employee assessments must be compared with the targets and standards that have been set. Competition in the business world or business, you could say that competing in the business world is one of the main things that cannot be avoided, so it should be faced and lived. Competition starts from the world of small businesses and the world of large or broad businesses. One of them, for example, such as competition in the Hajj and Umrah travel agency The research method used is a qualitative research method with data collection techniques using observation interviews and documentation as well as informants in this study, namely the filing and equipment section, the data obtained is processed then analyzed comparisons and conclusions This study shows that the performance of the Umrah travel administration is quite tense because it is not only taking care of finances, it turns out that sometimes you have to take care of banners and also browsers for partners, sometimes you also have to take the passports of pilgrims registered by partners.
OPTIMASI STRATEGIS INFERENSI U-NET EFISIEN UNTUK SEGMENTASI PEMBULUH DARAH RETINA Wisanggeni Atthoriq Kuswirasatya; Faisal Muttaqin
Jurnal Informatika dan Sistem Informasi (JIFoSI) Vol. 7 No. 2 (2026): Advances in Computing and Information Systems
Publisher : UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifosi.v7i2.608

Abstract

Segmentasi pembuluh darah retina merupakan tahapan krusial dalam diagnosis penyakit oftalmologi seperti diabetic retinopathy, glaukoma, dan degenerasi makula. Arsitektur U-Net telah terbukti efektif untuk tugas segmentasi pada citra medis, namun implementasi konvensionalnya seringkali memerlukan sumber daya komputasi yang besar dan waktu inferensi yang lama. Penelitian ini mengusulkan serangkaian optimasi pada arsitektur U-Net baseline untuk segmentasi pembuluh darah retina dengan fokus pada efisiensi komputasi tanpa mengorbankan akurasi secara signifikan. Optimasi yang dilakukan meliputi: (1) penerapan Contrast Limited Adaptive Histogram Equalization (CLAHE) pada tahap preprocessing, (2) penggunaan fungsi aktivasi LeakyReLU sebagai pengganti ReLU, (3) reduksi kanal pada bottleneck dari 1024 menjadi 512, (4) perbaikan fungsi loss dengan Binary Cross Entropy with Logits, (5) penerapan Automatic Mixed Precision (AMP) selama pelatihan, dan (6) konvolusi-BatchNorm fusion pada tahap inferensi. Eksperimen dilakukan pada dataset DRIVE (Digital Retinal Images for Vessel Extraction) menggunakan lingkungan Google Colab dengan GPU NVIDIA T4. Hasil menunjukkan bahwa model teroptimasi mencapai peningkatan kecepatan inferensi hingga 3,51 kali (dari 6,90 FPS menjadi 24,26 FPS) dan pengurangan waktu pelatihan sebesar 57,1% (dari 17 menit 11 detik menjadi 7 menit 22 detik) dengan penurunan Jaccard Index yang minimal dari 0,6571 menjadi 0,6404. Temuan ini menunjukkan bahwa optimasi yang diusulkan berhasil menciptakan model yang lebih efisien dan cocok untuk deployment pada perangkat dengan sumber daya terbatas.