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Katuk leaf dried noodles (Sauropus androgynus (L) Merr) with different combinations of wheat and banana flour (Musa paradisiaca L.): Mi kering daun katuk (Sauropus androgynus) dengan perbedaan kombinasi tepung terigu dan tepung pisang kepok (Musa paradisiaca L.)
Agrobioteknologi
Vol 2
, No 1
(2025)
In Indonesia, dry noodles are one of the most widely consumed foods because they are easy to cook. The use of banana flour as a substitute for making noodles is an effort to diversify food in reducing imports of wheat flour. This study dried noodles were made from katuk leaf extract and from the substitution of banana kepok flour with wheat flour. The chemical and organoleptic properties of noodles added with banana kepok flour and katuk leaf extract as natural dyes are the focus of this study....
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Kembang goyang characterization with rice - mocaf flour (modified cassava flour) subtitution and variation of milk types : Karakteristik kembang goyang dengan substitusi tepung beras - tepung mocaf (modified cassava flour) dan variasi jenis susu
Agrobioteknologi
Vol 2
, No 1
(2025)
A traditional cake from Betawi known as kembang goyang is created by shaking it in hot oil until the dough releases from the mold and gets its name from the way it looks budding flowers. In this study, rice flour substitute with mocaf flour and several types of milk were also used. This studied aims to manufacture kembang goyang that are rich in protein, and the optimal of crunchiness, this study attempts to establish the ideal ratio of rice flour to mocaf flour and different types of milk. This...
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Analysis Of Mathematical Problem Solving Errors Reviewed From Students' Learning Independence After Implementing The Guided Discovery Learning Model Using Digital Books
Jurnal Riset sosial humaniora, dan Pendidikan (Soshumdik)
Vol 4
, No 2
(2025)
This study looks at 1) the typical math problem-solving mistakes students make using the Newmann procedure after learning with digital books through guided discovery, 2) errors related to how independent students are in their learning, and 3) how independent students are in their learning after using the guided discovery model. Analysis is descriptive in this research. This research included SMPS Dharma Patra grade VIII students. Data analysis indicated that 1) students made the most errors in s...
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Analisis Kondisi Bisnis BMT Bahtera Dalam Memasuki Pasar Industri Jasa Keuangan Syariah : Pendekatan General Electric
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 4
, No 2
(2025)
This study aims to analyze the business condition of BMT Bahtera in entering the market of the syariah financial services industry using a General Electric Matrix approach. The method used in this study was in-depth interviews with the internal informant from BMT. The research result shows that BMT Bahtera’s strength is on the digitalization services, Human Resources competencies and saving and financing products innovation. Despite recently entering the Purwokerto territory, the business is gro...
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2 Sitasi
PERENCANAAN SISTEM FIRE ALARM DAN HYDRAN PEMADAMAN KEBAKARAN PADA TOSERBA YOGYA PEKALONGAN
Jurnal Elektro dan Teknologi Informasi
Vol 3
, No 2
(2025)
Gedung Toserba Yogya Pekalongan merupakan gedung yang direncanakan dibangun, merupakan bangungan tiga lantai terdapat bahan dan peralatan yang sangat rentan akan bahaya kebakaran yang mampu memusnahkan aset serta dokumen penting yang dimiliki gedung Toserba Yogya Pekalongan. Oleh karena itu untuk menghindari terjadinya hal yang tidak di inginkan dari bencana kebakaran ini ialah dengan dilakukannya pemasangan sistem penanganan kebakaran seperti fire alarm dan hydran kebakaran.Tujuan dari peneliti...
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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
Optimalisasi Penerimaan Pajak BPHTB di Kabupaten Sikka: Analisis Implementasi dan Tantangan
DHARMA EKONOMI
Vol 32
, No 1
(2025)
Bea Perolehan Hk Atas Tanah dan Bangunan (BPHTB) is one of the main sources of Regional Original Income (PAD) which is managed by the Sikka Regency Regional Revenue Agency (Bapenda). This research aims to analyze the optimization of BPHTB acceptance. The research method used is a qualitative approach with data collection techniques through interviews, observation and documentation studies. The research results show that the optimization efforts carried out, such as collaboration with notaries/PP...
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Analisis Peran Akumulasi Modal dalam Pertumbuhan Ekonomi: Faktor-Faktor Pendorong Pertumbuhan Ekonomi di Indonesia
Herlina Reva Carita
; Haura Khalisa Hakim
; Raden Naufal Hilmi Saputra
; Ni Komang Mia Fabiola
; Izzan Shulhan Albar
; Vanessa Azahra Rohman
; Ahmad Setiawan Nuraya
DHARMA EKONOMI
Vol 32
, No 1
(2025)
Economic growth is a complex process influenced by various factors, one of which is capital accumulation. Capital accumulation plays a crucial role in increasing production capacity, creating employment opportunities, and enhancing labor productivity. This study analyzes the role of capital accumulation in Indonesia’s economic growth by highlighting key factors contributing to national output expansion. Using the growth accounting approach and neoclassical growth theory, this research confirms t...
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Implementation of Machine Learning on Android Based Application for Classifying the Types of Injuries on Traffic Accident: Implementasi Machine Learning Menggunakan Aplikasi Android untuk Klasifikasi Jenis Luka Cedera pada Kecelakaan Lalu Lintas
RADIANT: Journal of Applied, Social, and Education Studies
Vol 6
, No 1
(2025)
This research implements a machine learning model to classify the types of injuries sustained in road accidents. Accidents can happen anywhere and at unexpected times, and not many drivers know how to provide first aid in the event of an accident. These problems encourage researchers to carry out machine learning-based research that can provide recommendations for action and first aid materials/equipment, as well as information on the nearest health facilities to facilitate the search for help i...
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Efektifitas Model Inquiry Social Complexcity (ISC) untuk Meningkatkan Keterampilan Berpikir Kritis di Sekolah Dasar
Jurnal Riset sosial humaniora, dan Pendidikan (Soshumdik)
Vol 4
, No 2
(2025)
Abstract. This study aims to determine how effective the Inquiry Social Complexity (ISC) model is in increasing critical thinking in elementary schools. The Inquiry Social Complexity (ISC) learning model is a way of learning that focuses on the use of critical thinking and social complexity to identify and resolve dilemmas. Critical intelligence means cognitive skills that demonstrate a high level of thinking skills, involving analysis, drawing conclusions, and assessing the problem-solving proc...
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