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Menampilkan 21–30 dari 95 artikel
Integrating Hybrid Statistical and Unsupervised LSTM-Guided Feature Extraction for Breast Cancer Detection
Setiadi, De Rosal Ignatius Moses
; Ojugo, Arnold Adimabua
; Pribadi, Octara
; Kartikadarma , Etika
; Setyoko, Bimo Haryo
; Widiono, Suyud
; Robet, Robet
; Aghaunor, Tabitha Chukwudi
; Ugbotu, Eferhire Valentine
Journal of Computing Theories and Applications
Vol 2
, No 4
(2025)
Breast cancer is the most prevalent cancer among women worldwide, requiring early and accurate diagnosis to reduce mortality. This study proposes a hybrid classification pipeline that integrates Hybrid Statistical Feature Selection (HSFS) with unsupervised LSTM-guided feature extraction for breast cancer detection using the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. Initially, 20 features were selected using HSFS based on Mutual Information, Chi-square, and Pearson Correlation. To addres...
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3 Sitasi
ANALISIS KEPUASAN PENGGUNA CAPCUT DAN KINEMASTER MENGGUNAKAN METODE END-USER COMPUTING SATISFACTION
Buana, Pratama Angga
; Ardyan, Antonius Gilang
; Tamboto, Fredrik Sebastian
; Prakoso, Noer Hidayat
; Yudistira, Danang Yunan
; Derek, Gerri Wicaksana
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN)
Vol 13
, No 1
(2025)
This study aims to analyze user satisfaction levels for the CapCut and KineMaster video editing applications using the End-User Computing Satisfaction (EUCS) approach. This research employed a descriptive quantitative method with data collected through questionnaires involving 67 respondents. The instrument's validity was tested using Pearson's Product Moment correlation, and reliability was assessed using Cronbach's Alpha method. The results show that CapCut excels in the Content (4.06), Accura...
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PENGARUH PENAMBAHAN KATALIS CaO DAN CaO TERIMPREGNASI KOH BERBASIS CANGKANG TELUR TERHADAP HASIL SINTESIS BIODIESEL DARI MINYAK JARAK, MINYAK KELAPA DAN MINYAK KELAPA SAWIT
Muarif , Agam
; Mulyawan , Rizka
; Nurlaila, Rizka
; Fikri, Ahmad
; Armita Sandi, Nazlia
; Cinta Buana Nasution, Vinkhan
; Syahrani, Irma
Jurnal Inovasi Teknik Kimia
Vol 10
, No 2
(2025)
Biodiesel merupakan bahan bakar alternatif yang sifatnya renewable energy dan ramah lingkungan yang dapat disintesis dari beberapa jenis minyak seperti minyak jarak, minyak kelapa, minyak kelapa sawit dan sebagainya. Hal ini didukung oleh kandungan senyawa yang terdapat dalam ketiga jenis minyak tersebut disertai dengan bahan baku yang mudah didapatkan dan dibudidayakan di Indonesia. Proses pembuatan biodiesel dari minyak melalui reaksi esterifikasi dan transesterifikasi dengan menggunakan bantu...
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ISOLATION OF AnsB GENE FRAGMENT ENCODING L-ASPARAGINASE 2 ENZYME FROM Serratia plymuthica UBCF_13 AND IT’S IN-SILICO DOMAIN CHARACTERISTIC
Ananda, Abi Awfa Rahman
; Nursyafi, Fauzan Syarif
; Aliya, Lisana Shidiqqin
; Hasibuan, Imron Martua
; Alioes, Yustini
; Endrinaldi , Endrinaldi
; Adrial, Adrial
; Elmatris , Elmatris
; Jamsari, Jamsari
; Lily Syukriani
Bioma : Jurnal Ilmiah Biologi
Vol 14
, No 1
(2025)
Acute lymphoblastic leukemia(ALL) is one of the cancer diseases often occurs in children and causes high mortality in children. One of the chemotherapy treatment suggested is using L-Asparaginase 2. However due to its difficult production process making this approach expensive for the public. Therefore production technology of this enzyme is crucial enabling cheaper for ALL treatment. This study aimed to isolate the AnsB gene sequence from Serratia plymuthica UBCF_13 and perform its further in-...
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Feature Fusion with Albumentation for Enhancing Monkeypox Detection Using Deep Learning Models
Pratama, Nizar Rafi
; Setiadi, De Rosal Ignatius Moses
; Harkespan, Imanuel
; Ojugo, Arnold Adimabua
Journal of Computing Theories and Applications
Vol 2
, No 3
(2025)
Monkeypox is a zoonotic disease caused by Orthopoxvirus, presenting clinical challenges due to its visual similarity to other dermatological conditions. Early and accurate detection is crucial to prevent further transmission, yet conventional diagnostic methods are often resource-intensive and time-consuming. This study proposes a deep learning-based classification model by integrating Xception and InceptionV3 using feature fusion to enhance performance in classifying Monkeypox skin lesions. Giv...
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15 Sitasi
MAXIMIZATION OF PRE-HARVEST, HARVEST AND POST-HARVEST HANDLING AS AN EFFORT TO MAINTAIN WOTEL QUALITY
Agrisaintifika : Jurnal Ilmu - Ilmu Pertanian
Vol 9
, No 1
(2025)
Carrots (Daucus carota) are quite popular vegetables because they have a lot of nutritional content that is very good for health. To produce good quality carrots, it is necessary to carry out good pre-harvest and post-harvest activities, so that the nutritional content of carrots can be maintained properly. However, it should be noted that many pre-harvest and post-harvest activities are not right, resulting in poor quality carrots. Therefore, the purpose of this review is to find out the right...
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Penggalian Potensi Wisata Desa Kemlagi dalam Pengembangan Destinasi Wisata Kampung Tematik
Eny Rachmawati
; Didit Panji Saputra
; Risma Millatul Ummah
; Bambang Wijanarko
; Putri Diah Ayu Lestari
; Ika Vitriasari
; Bravo Chandra Arista
; Mochamad Farizal
; Mukhamad Agung Maulana
; Kintan Puspita Wardani
; Debrina Putri Buana
; Nur Vina Yulfana
; Putri Virda Rahayu
; Faren Kesita Gelioni
; Ervinda Hardina Dwi Pratiwi
; Arvianti Pramudita Tjandra
; Ricky Damara Paulus
; Puput Anggraeni
; Sintia Roseta Dela
; Salwa Firdaus Syah
; Bentar Putra Setiyanto
; Adinda Putri Sari Rahayu
; Fathurachman Samba
; Elly Kurniawati
; Muhammad Yunus
; Vony Puspitasari
Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri
Vol 4
, No 2
(2025)
Village potential greatly influences the community's economy. Management of superior village products from various sectors will influence and provide beneficial impacts for the village itself. Kemlagi Village, Mojokerto Regency has various products in the tourism sub-sector based on culture/local wisdom, agriculture and livestock whose quality is not inferior to other potential villages. To increase the potential of the village area, it is necessary to increase the village branding of any potent...
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1 Sitasi
Peningkatan Kemampuan Berbahasa Arab dan Inggris berpendekatan Sosiopragmatik bagi Siswa SMK Muhammadiyah Lampung
Prayitno, Harun Joko
; Purnomo, Eko
; Kurniaji, Ganno Tribuana
; Pradana, Fajar Gemilang
; Al Sanaani, Ali Essam
; Taha, Ali Abdulraoof
; Sya’adah, Himatus
; Putra, Romi Iriandi
Buletin KKN Pendidikan
Vol 6
, No 2
(2024)
Kemampuan bahasa Arab dan bahasa Inggris merupakan hal yang penting dalam era kemajuan digital. Kedua bahasa tersebut merupakan bahasa internasional yang banyak digunakan diberbagai dunia. Pengabdian ini bertujuan untuk meningkatkan kemampuan berbahasa Arab dan Inggris pada siswa SMK Muhammadiyah Lampung. Metode yang digunakan dalam pengabdian ini adalah metode partisipasi aktif. Hasil pengabdian menunjukkan bahwa dengan menghadirkan native speaker yang berasal dari Yaman dapat meningkatkan pema...
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FOOD SUPPLY CHAIN NETWORK ANALYSIS OF SMALLHOLDER PALM OIL IN LANGKAT REGENCY
Agrisaintifika : Jurnal Ilmu - Ilmu Pertanian
Vol 8
, No 2
(2024)
The oil palm plantation business in North Sumatra is the oldest and oldest oil palm agribusiness activity in Indonesia. However, there are still problems with palm oil commodities in North Sumatra, especially Langkat Regency. In the FFB marketing aspect, obstacles are faced, such as fluctuations in FFB prices at the farmer level and the length of trading channels that farmers have to go through before they reach the factory. This research aims to analyze the smallholder oil palm supply chain in...
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Outlier Detection Using Gaussian Mixture Model Clustering to Optimize XGBoost for Credit Approval Prediction
Setiadi, De Rosal Ignatius Moses
; Muslikh, Ahmad Rofiqul
; Iriananda, Syahroni Wahyu
; Warto, Warto
; Gondohanindijo, Jutono
; Ojugo, Arnold Adimabua
Journal of Computing Theories and Applications
Vol 2
, No 2
(2024)
Credit approval prediction is one of the critical challenges in the financial industry, where the accuracy and efficiency of credit decision-making can significantly affect business risk. This study proposes an outlier detection method using the Gaussian Mixture Model (GMM) combined with Extreme Gradient Boosting (XGBoost) to improve prediction accuracy. GMM is used to detect outliers with a probabilistic approach, allowing for finer-grained anomaly identification compared to distance- or densit...
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23 Sitasi