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Android-Based Tourism Geographic Information System For Blitar Raya Utilizing Google Maps API and Kotlin
Pratama, Dimas Adi
; Santi, Indyah Hartami
; Febrinita, Filda
; Pratama, Dimas Adi
; Santi, Indyah Hartami
; Febrinita, Filda
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 1
(2026)
The limited availability of integrated digital tourism information in Blitar Raya has made it challenging for visitors to plan their travel routes efficiently. This research aims to develop an Android-based Geographic Information System (GIS) that integrates the Google Maps API with the Bellman-Ford algorithm to optimize the shortest travel routes among tourism destinations. The system was developed using the Rapid Application Development (RAD) methodology, emphasizing user involvement through i...
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Ekosistem Bisnis Digital: Analisis Faktor Kesuksesan UMKM Generasi Z di Indonesia
DHARMA EKONOMI
(2026)
Digital transformation has reshaped the landscape of MSMEs in Indonesia, particularly those managed by Generation Z. This study aims to analyze key success factors of Generation Z MSMEs in building sustainable digital business ecosystems. The research employs a systematic literature review methodology by analyzing various academic sources, industry reports, and related publications from 2019-2024. Findings reveal five primary success factors: adaptive digital technology adoption, high digital li...
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Evaluating Civil Servant Selection through Machine Learning Analysis of National Insight, General Intelligence, and Personal Characteristics Test Scores
This study analyzes the score distribution of 2,490 candidates in the 2024 Ministry of Finance Public sector recruitment, focusing on the CNI, GIT, and PCT sections using machine learning classification. Models used include Logistic Regression (accuracy 0.7897), Random Forest (0.9779), and XGBoost (0.9809), all trained with default parameters (n_estimators=100, max_depth=None) and evaluated using accuracy, precision, recall, and F1-score. While ensemble models outperformed Logistic Regression, t...
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Viscosity Modeling of MES and SLS Using Machine Learning Method
Fathaddin, Muhammad Taufiq
; Setiati, Rini
; Akbar, Fahrurrozi
; Sumirat, Iwan
; Bharoto
; Ramadhan, Ranggi Sahmura
; Onnie Ridaliani Prapansya
; Ristawati, Arinda
Viscosity is crucial to improve the efficiency of injected fluids for oil displacement in reservoirs. Traditionally, research has focused on polymers that help reduce the mobility of injected fluids, while surfactant viscosity has received less consideration. This research investigated the viscosity behavior of methyl ester sulfonate (MES) and sodium lauryl sulfate (SLS) surfactant solutions using a machine learning method—adaptive neurofuzzy inference system (ANFIS). This study aimed to predict...
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KINERJA BIDAN TERHADAP CAKUPAN IMUNISASI DASAR LENGKAP: STUDI KASUS DI PUSKESMAS BATUWARNO
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar belakang: Capaian Imunisasi Dasar Lengkap (IDL) di Jawa Tengah mengalami fluktuasi dan belum mencapai target Renstra pada beberapa tahun terakhir, dengan penurunan signifikan terjadi di tingkat kecamatan seperti di Puskesmas Batuwarno. Kinerja bidan sebagai pelaksana utama memegang peranan krusial dalam keberhasilan program ini. Tujuan: Penelitian ini bertujuan untuk menganalisis kinerja bidan terhadap cakupan imunisasi dasar lengkap ditinjau dari aspek perencanaan, pelaksanaan, serta pema...
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Integrating BSF larvae for the sustainable bioconversion of banana peels and sprout hulls waste
Rizkawati, Vina
; Andhini, Shabrina Lathiifah
; Noer, Mohamad Isnin
; Yudistira, Dwi Harya
; Kurniati, Tri Handayani
; Lisanti, Elsa
; Komala, Ratna
; Herlin, Weri
The management of organic waste presents a significant challenge in Indonesia, especially fruit and vegetable by-products. Black Soldier Fly (BSF, Hermetia illucens) larvae offer an effective solution due to their high potential for organic waste conversion. This study investigated the efficacy of BSF larvae in reducing and bioconverting organic waste composed of banana peels and sprout hulls, and examined the influence of EM4 fermentation on larval growth performance. Waste Reduction Index (WRI...
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Assessment of genetic diversity in EMS-induced porang (Amorphophallus muelleri Blume) revealed by RAPD markers
Haritzah, Rendha Maulana
; Radita, Novia Fitri
; Ramadanti, Isma Salsabila
; Azzahro, Yusri Despa
; Wahyudi, Didik
; Resmisari, Ruri Siti
; Suyono
Increasing genetic diversity of porang through mutation is urgently needed since porang has low genetic diveristy. Therefore, this study aims to increase the genetic diversity of porang using ethyl methanesulfonate (EMS) and analyze the genetic diversity of porang using RAPD markers. Porang explants were subjected to in vitro EMS induction at various concentrations (control, 0.1%, 0.2%, 0.3%, 0.4%, and 0.5%) and evaluated after 35 days. DNA amplification was carried out using 20 RAPD primers. Ge...
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Design and validation of PIP gene primer for quantitative PCR in Capsicum annuum using in silico and experimental approaches
Capsicum annuum L. is an economically important horticultural crop whose productivity is strongly affected by drought stress. Plasma Membrane Intrinsic Protein (PIP), a member of the aquaporin gene family involved in water transport and osmotic regulation, represents a key target for drought stress studies, requiring highly specific and efficient primers for accurate gene expression analysis using quantitative PCR (qPCR). This study aimed to design and validate PIP gene primers for qPCR in C. an...
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Mangrove Biodiversity for Coastal Resilience and Sustainability: A Dynamic Case Study from Indonesia
Martuti, Nana Kariada Tri
; Jabbar, Abdul
; Irsadi, Andin
; Sidiq, Wahid Akhsin Budi Nur
; Melati, Inaya Sari
; Eldin Khair, Amar Sharaf
; Mutiatari, Dhita Pracisca
Mangrove degradation and socio-economic vulnerability in the Kendal coast require an integrated approach. The study used ecological surveys (mangrove vegetation analysis, avifauna) and socio-economic (n=186 households). Integrated Coastal Management (ICM) analysis and model were developed using a dynamic approach, encompassing problem identification, conceptual model formulation, and validation preparation. 14 mangrove species (H' index = 1.58–1.80) and 61 bird species (H' = 3.50) were found. Co...
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Analysis for Non-covalent Bonds in Protein Structures Using the DV-Xα Method
Halogen atoms are increasingly recognized for their ability to form non-covalent halogen bonds in protein–ligand complexesy. To systematically evaluate these interactions, we employed the DV-Xα method to calculate bond overlap populations (BOPs) in protein structures containing halogenated ligands. Using the Protein Data Bank, we identified thousands of entries with fluorine, chlorine, bromine, or iodine atoms. Structural coordinates were extracted around the chlorine atoms of the ligand and sub...
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