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All Journal Jurnal Penelitian Komunikasi dan Opini Publik MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal Ilmiah Teknik dan Sains (JITS) Botani: Publikasi Ilmu Tanaman dan Agribisnis Mikroba: Jurnal Ilmu Tanaman, Sains dan Teknologi Pertanian
Shinta Palupi
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Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Mechanical Engineering Other

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CLUSTER ANALYSIS FOR LEARNING STYLE OF VOCATIONAL HIGH SCHOOL STUDENT USING K-MEANS AND FUZZY C-MEANS (FCM) Shinta Palupi; Reza Andrea; Siti Qomariah
Jurnal Penelitian Komunikasi dan Opini Publik Vol 21, No 2 (2017): Jurnal Penelitian Komunikasi dan Opini Publik - Desember 2017
Publisher : BPSDMP Kominfo Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (487.564 KB) | DOI: 10.33299/jpkop.21.2.1243

Abstract

Predicting financial default risks: A machine learning approach using smartphone data Shinta Palupi; Gunawan; Ririn Kusdyawati; Richki Hardi; Rana Zabrina
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 3 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i3.107-118

Abstract

This study leverages machine learning (ML) techniques to predict financial default risks using smartphone data, providing a novel approach to financial risk assessment. Data were collected from 1,000 individuals who had taken personal loans, focusing on key behavioral parameters such as app usage frequency, GPS location data, and communication patterns over a six-month period prior to loan application. The analysis employed Logistic Regression, Decision Trees, and Random Forest models to determine correlations between these parameters and default risks. The Random Forest model demonstrated superior performance, achieving 85% accuracy. Key findings show that high usage of financial apps was associated with lower default risks, while irregular communication patterns and erratic mobility were significant indicators of higher risk. These results suggest that smartphone-derived behavioral data can significantly enhance traditional credit scoring methods. The study not only contributes to predictive analytics in financial risk management but also raises ethical considerations around privacy and data security.
Analisis dan Diagnostik Inefisiensi Sistem Presensi Konvensional dan Strategi Transformasi Digital Berbasis Face Recognition Terintegrasi Pada SDN 012 Balikpapan Rauda Tuljannah; Alif Andhika Putra Nugroho; Yustian Servanda; Shinta Palupi
Jurnal Ilmiah Teknik dan Sains Vol. 3 No. 2 (2025): Desember: Jurnal Ilmiah Teknik dan Sains (JITS)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat AKIPBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62278/jits.v3i2.96

Abstract

Di era disrupsi teknologi, efisiensi administrasi pada institusi pendidikan dasar menjadi determinan utama dalam mewujudkan tata kelola sekolah yang akuntabel. Penelitian ini bertujuan untuk melakukan analisis diagnostik mendalam terhadap sistem presensi siswa di SDN 012 Balikpapan yang hingga saat ini masih mengandalkan metodologi manual berbasis kertas. Permasalahan utama yang diangkat adalah tingginya beban klerikal guru yang berimplikasi pada penurunan kualitas instruksional. Dengan mengadopsi metodologi deskriptif kualitatif melalui kerangka analisis PIECES (Performance, Information, Economics, Control, Efficiency, Service), penelitian ini membedah setiap lapisan sistem berjalan. Hasil investigasi empiris menunjukkan adanya inefisiensi kronis di mana rekapitulasi data menyerap 15-20% jam kerja produktif guru, disertai risiko integritas data yang tinggi. Sebagai solusi strategis, penelitian ini merekonstruksi model presensi menggunakan teknologi Face Recognition yang mampu melakukan otomasi rekapitulasi mencakup variabel temporal dan akademik secara presisi. Keunggulan sistem yang diusulkan terletak pada integrasi data real-time ke Ruang Guru dalam format spreadsheet dan bukti visual (foto). Penelitian ini menyimpulkan bahwa transisi biometrik digital adalah prasyarat mutlak untuk meningkatkan standar profesionalisme administrasi di SDN 012 Balikpapan.
Systematic Mapping and Meta Analysis of Maize Soybean Intercropping Studies in Indonesia Shinta Palupi
Botani : Publikasi Ilmu Tanaman dan Agribisnis Vol. 3 No. 2 (2026): Mei : Botani : Publikasi Ilmu Tanaman dan Agribisnis
Publisher : Asosiasi Riset Ilmu Tanaman Dan Hewani Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/botani.v3i2.592

Abstract

Soybean is an important food commodity in Indonesia because it is the main raw material for tofu and tempeh, two major protein sources widely consumed by the population. However, domestic soybean production remains far below national demand resulting in heavy dependence on imports. In contrast maize is increasingly preferred by farmers due to its higher productivity and a more stable economic value. Therefore, maize–soybean intercropping has emerged as a promising strategy to improve land-use efficiency while increasing soybean production without reducing maize cultivation. This study systematically mapped and synthesized maize–soybean intercropping research in Indonesia and conducted a meta-analysis of Land Equivalent Ratio LER values reported across studies. Literature searches using Scopus, Web of Science, and Google Scholar identified 179 eligible publications published between 1978 and 2023. Most studies focused on agronomic factors such as variety selection spacing arrangement and fertilizer management. Meta-analysis showed average LER values of 1.47 ± 0.046 for maize–soybean intercropping and 1.36 ± 0.081 for maize–mung bean intercropping indicating advantages over monoculture systems. However, inconsistencies in methodology and reporting standards limited study comparability and sustainability assessments. Future research should integrate ecological, social, and long-term economic indicators alongside standardized reporting frameworks to strengthen evidence-based intercropping recommendations nationally for sustainable agriculture.
Kuantifikasi Perubahan Kadar Nitrogen Total di Tanah dan Jaringan Tanaman Kedelai (Glycine max (L.) Merrill) Varietas Anjasmoro selama Proses Budidaya Shinta Palupi
Mikroba : Jurnal Ilmu Tanaman, Sains Dan Teknologi Pertanian Vol. 3 No. 1 (2026): April: Mikroba : Jurnal Ilmu Tanaman, Sains Dan Teknologi Pertanian
Publisher : Asosiasi Riset Ilmu Tanaman Dan Hewani Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/mikroba.v3i1.593

Abstract

Nitrogen is an essential element for soybean growth, particularly in the formation of vegetative organs and seed protein. The nitrogen requirement of soybean plants varies according to their growth stages. This study aimed to quantify nitrogen levels in soil and plant tissues of Anjasmoro soybean variety over a 13-week cultivation period. Observations were conducted weekly by collecting soil and plant samples from three randomly selected polybags. Nitrogen analysis was performed using a colorimetric Kjeldahl method. The results showed that nitrogen supply was obtained not only from soil media and fertilizers, but also from biological nitrogen fixation facilitated by symbiotic microbes forming root nodules as well as non-symbiotic soil microbes. The lowest total soil nitrogen content was recorded at 0 weeks after planting (WAP) at 0.20%, while the highest was observed at 7 WAP at 0.82%. The lowest total nitrogen content in plant tissue occurred at 8 WAP at 1.80%, whereas the highest was recorded at 4 WAP at 8.07%. Soybean plants experienced etiolation due to suboptimal light intensity, resulting in a vegetative phase that was prolonged by two weeks. Nitrogen uptake during this extended vegetative period reached 4.6%. The average total nitrogen absorbed by the plants during cultivation was 2.881 g per plant, while total nitrogen accumulation in the system increased by 26.285 g per plant.
Co-Authors Alif Andhika Putra Nugroho Gunawan Rana Zabrina Rauda Tuljannah Reza Andrea Richki Hardi Ririn Kusdyawati Siti Qomariah Yustian Servanda