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All Journal JOURNAL OF COASTAL DEVELOPMENT ILMU KELAUTAN: Indonesian Journal of Marine Sciences Reaktor BERKALA FISIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS Jurnal Materi dan Pembelajaran Fisika Jurnal Kedokteran Brawijaya Ganendra: Majalah IPTEK Nuklir Jurnal Sains Materi Indonesia Chem Info YOUNGSTER PHYSICS JOURNAL Manajemen Sumber Daya Manusia Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik JURNAL FISIKA Jurnal Matematika & Sains Jurnal Promkes: The Indonesian Journal of Health Promotion and Health Education Journal of Natural Sciences and Mathematics Research ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika The Indonesian Journal of Occupational Safety and Health Edumatsains Proceeding of the Electrical Engineering Computer Science and Informatics JITEK (Jurnal Ilmiah Teknosains) Majalah Kesehatan FKUB Syntax Literate: Jurnal Ilmiah Indonesia Communications in Science and Technology Journal of Physics and Its Applications DE'RECHTSSTAAT Jurnal Fisika Indonesia CRJIM (Clinical and Research Journal in Internal Medicine) Bulletin of Community Engagement Jurnal Patria Bahari Progressive Physics Journal Teknologi Sipil : Jurnal Ilmu Pengetahuan dan Teknologi Gunung Djati Conference Series LOGIC : Jurnal Ilmu Komputer dan Pendidikan Journal of Agrosociology and Sustainability Indonesian Journal of Biomedicine and Clinical Sciences Deka in Medicine
Heri Sutanto
Departemen Fisika, Fakultas Sains Dan Matematika, Universitas Diponegoro, Semarang
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Implementation of the Ensemble Machine Learning Algorithm for Student Dropout Prediction Analysis Winarsih, Winarsih; Sutanto, Heri; Widodo, Aris Puji
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp159-166

Abstract

Educational Data Mining provides an effective approach to tackle numerous issues within the education sector, including the capacity to perform predictive analyses regarding student attrition based on academic information. In this research, data from the Open University Learning Analytics dataset (OULAD), which is publicly accessible, has been employed, which encompasses student information collected during online learning. We apply various Machine Learning models, including Decision Trees, Naïve Bayes, Logistic Regression, and ensemble approaches like Random Forest and AdaBoost. Among the models tested, Random Forest (RF) achieved the highest accuracy of 89.37%, along with a precision of 89.57% and a recall of 93.86%, using the data splitting approach. When employing an alternative evaluation model, specifically K-Fold Cross Validation, the maximum F1 score achieved was 9.45%. In summary, the ensemble machine learning algorithm, specifically Random Forest (RF), exhibited strong performance in predicting student academic achievement quality.
Serum IL-18 as a predictive biomarker for acute kidney injury in sepsis patients Pratama, Satya; Sutanto, Heri; Samsu, Nur
Deka in Medicine Vol. 2 No. 2 (2025): August 2025
Publisher : PT. DEKA RESEARCH INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69863/dim.2025.e643

Abstract

BACKGROUND: Sepsis is a syndrome that can result in multiorgan dysfunction, including acute kidney injury (AKI). AKI is a serious complication of sepsis, and its incidence ranges from 30% to 50%. Newer predictive biomarkers such as serum interleukin-18 (IL-18) are being evaluated as early diagnostic markers with potentially greater sensitivity than serum creatinine. OBJECTIVES: To evaluate the usefulness of serum IL-18 levels as a predictive biomarker for AKI in patients with sepsis. METHODS: The cross-sectional study was conducted at Dr. Saiful Anwar General Hospital and included 68 sepsis patients, 34 with AKI and 34 without AKI. The serum level of IL-18 was measured using the ELISA method. AKI diagnosis was made according to the KDIGO criteria. The Mann-Whitney test, Spearman correlation, and receiver operating characteristic (ROC) curve analysis were included in the statistical analysis. RESULTS: The results showed that serum IL-18 levels were significantly greater in the AKI group compared with the non-AKI group (49.88 ± 50.87 vs. 19.89 ± 10.40; p < 0.001). A significant positive correlation was observed between serum IL-18 levels and the risk of AKI (r = 0.505; p < 0.001). ROC analysis revealed an area under the curve (AUC) of 0.792 with 82.4% sensitivity and 64.7% specificity at a cut-off value of 23.81 pg/mL. Logistic regression revealed that with each 1-unit increase in serum IL-18, a 7.3% increase in the risk of developing AKI was observed. CONCLUSION: Serum IL-18 has good potential to serve as a predictive biomarker for AKI in sepsis patients, with reasonable diagnostic accuracy.
Dose Distribution of Pencil Beam Proton Therapy using Geant4 Simulation for Breast Cancer Treatment Budiman, Rizki; Sutanto, Heri; Tursinah, Rasito; Triadyaksa, Pandji
Journal of Physics and Its Applications Vol 7, No 2 (2025): May 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i2.25067

Abstract

This study aims to obtain a Spread-Out Bragg Peak (SOBP) for breast cancer treatment using proton pencil beams Monte Carlo simulation. Proton beams with 2 MeV energy steps from 70 to 110 MeV were simulated using Geant 4 software to generate the SOBP. The optimization tool Linear Least Squares (lsqlin) was used to configure the proper proton beam weighting fraction. This tool successfully produced SOBPs within a depth range of 4-8 cm, 4-6 cm, and 5-7 cm. Comparison against a trial-and-error approach to creating SOBP by a different study shows that Linear Least Squares (lsqlin) approximation leads to a better SOBP.
KONSULTAN PENGAWAS SEBAGAI ALAT PENGENDALI PADA PELAKSANAAN PEMBANGUNAN JALAN NASIONAL Simbolon, Ruminsar ok; Sutanto, Heri
Teknologi Sipil : Jurnal Ilmu Pengetahuan dan Teknologi Vol 9, No 1 (2025): JTS TEKNOLOGI SIPIL
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/ts.v9i1.19891

Abstract

Jasa konsultan pengawas konstruksi digunakan pada proyek berskala kecil, menengah dan besar, dimana konsultan pengawas konstruksi berperan untuk mengelola proyek, sehingga pekerjaan memenuhi terhadap aspek mutu waktu dan biaya. Meskipun demikian, penggunaan jasa konsultasi ini tidak menjamin tujuan suatu proyek berjalan dengan lancar. Justru berbagai permasalahan dalam tahap pelaksanaan sering terjadi. Oleh karena itu, perlu ditinjau apa saja peranan konsultan pengawas konstruksi dan bagaimana implementasi peranan tersebut di lapangan. Sebagai wakil pemilik proyek, konsultan pengawas konstruksi mempunyai wewenang untuk bertindak atas nama pemilik proyek dan bertindak sebagai pemimpin dari pada tim. Konsultan pengawas konstruksi dapat berperan sebagai penasehat, pembantu, dan partner. Keterlibatan konsultan pengawas diharapkan dapat memberikan informasi terpercaya kepada pemilik proyek. Pada tahap pelaksanaan konstruksi, konsultan pengawas melakukan koordinasi terhadap pengadaan material, peralatan juga terhadap seluruh proses pembangunan. Proyek pembangunan konstruksi longsoran ruas jalan Tanjung Selor - Malinau, khususnya pada pekerjaan struktur menunjukkan adanya keterlambatan waktu pelaksanaan yang di sebabkan beberapa factor antara lain, kurangnya tenaga kerja, kurangnya koordinasi di lapangan, keterlambatan mobilisasi alat bor, dan gangguan cuaca. Sehingga pada realisasinya pekerjaan sering mengalami keterlambatan
Perancangan Sistem Monitoring Kinerja Panel Surya untuk Tambak Udang berbasis IoT Catur Rakhmad , Handoko; Sutrisno, Imam; Ari Wibawa Budi Santosa; Heri Sutanto
Bulletin of Community Engagement Vol. 5 No. 2 (2025): Bulletin of Community Engagement
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bce.v5i2.1771

Abstract

Internet of Things (IoT)-based monitoring systems are increasingly being adopted across various sectors, including aquaculture. Shrimp farming, in particular, relies on a stable energy supply to operate aeration and water circulation systems. Solar panels offer an efficient renewable energy solution; however, their optimal performance requires continuous and reliable monitoring. This study aims to design and implement an IoT-based monitoring system to track solar panel performance in shrimp farms, thereby enhancing energy utilization efficiency. The system integrates sensors for current, voltage, temperature, and light intensity with a microcontroller and an IoT platform for real-time data acquisition and analysis. The test results demonstrate that the system effectively provides accurate and timely information on solar panel performance, enabling early detection of efficiency losses and prompt maintenance actions. The implementation of this system is expected to increase energy resilience and operational efficiency in shrimp farming operations. By combining IoT technology with renewable energy monitoring, this research offers a practical and scalable solution tailored for remote aquaculture environments. Additionally, the study highlights the feasibility of using low-cost hardware and open-source platforms, making the system accessible for broader application, particularly in developing regions. This contribution supports the advancement of sustainable and energy-efficient aquaculture practices through innovative, technology-driven approaches.
Association Between Personal Hygiene Practices and Peripheral Blood Profiles in Agrarian Workers: An Analysis with Socio-demographic and Helminthiasis Considerations Indiastari, Dewi; Didi Candradikusuma; Milanitalia Gadys Rosandy; Niniek Budiarti; Heri Sutanto; Sinta Silvia
The Indonesian Journal of Occupational Safety and Health Vol. 14 No. 2 (2025): The Indonesian Journal of Occupational Safety and Health
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ijosh.v14i2.2025.164-179

Abstract

Introduction: Helminthiasis remains a significant public health issue in Indonesia, negatively impacting nutrition and cognitive development, particularly among individuals who are in direct contact with soil. To mitigate this issue, improving personal hygiene and awareness of infection prevention is essential. This study aims to examine the correlation between sociodemographic factors and personal hygiene with blood profiles among workers in agrarian areas. Methods: A cross-sectional approach was used, with 144 samples collected through purposive sampling in the agrarian area of Malang Regency. Data were gathered using questionnaires covering sociodemographic factors and personal hygiene, as well as through hematology tests results obtained from blood samples taken from respondents, which were tested at the dr. Saiful Anwar Malang General Hospital. For data analysis, the Chi-square test was utilized for bivariate analysis, while logistic regression was employed for multivariate analysis. Results: The mean age of respondents was 48.1 ± 14.1 years, with a majority having attained only an elementary education (51.4%) and primarily working as farmers (66.7%). Approximately 38.2% of respondents demonstrated poor personal hygiene. Significant associations were found between personal hygiene and hemoglobin levels (p=0.031), as well as eosinophil counts (p=0.007). Multivariate analysis showed that respondents who did not wash their hands before eating had 1.8 times higher odds of having abnormal blood profiles compared to those who practiced handwashing. Conclusion: The results of this study suggest that sociodemographic factors and personal hygiene are associated with the quality of blood profile among respondents. Enhanced education is needed to raise community awareness regarding personal hygiene.
THE INFLUENCE OF DIGITAL MARKETING AND BRAND IMAGE ON PURCHASE DECISIONS: A STUDY ON THE ONLINE-BASED CULINARY INDUSTRY Kadar Nurjaman; Babay Suhaemi; Heri Sutanto; Rahmawati; Lilis Sulastri
Gunung Djati Conference Series Vol. 56 (2025): Seminar Nasional Ekonomi dan Bisnis Islam
Publisher : UIN Sunan Gunung Djati Bandung

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

Abstract

The rapid development of digital technology has significantly transformed the marketing landscape, particularly in the culinary industry, where online platforms have become a primary medium for attracting and retaining customers. This study aims to analyze the influence of digital marketing and brand image on purchase decisions in the online-based culinary industry. The research employed a quantitative approach with 200 respondents who had purchased food or beverages through online platforms such as GoFood, GrabFood, and ShopeeFood in Indonesia. Data were analyzed using multiple regression analysis. The results indicate that both digital marketing and brand image have a significant positive influence on purchase decisions. Among the two variables, brand image showed a stronger effect, suggesting that customers’ perceptions and emotional connections with a brand play a crucial role in shaping their purchasing behavior. These findings contribute to the understanding of how online culinary businesses can optimize marketing strategies to enhance brand value and customer loyalty.
Analisis Kebutuhan Energi Automatic Identification System (Ais) pada Kapal Latih Barombong Sebagai Upaya Peningkatan Keandalan Sistem Navigasi Kurniawan, Kukuh Dian; Yuyun, Yuyun; Sutanto, Heri
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i10.62262

Abstract

Indonesia sebagai negara kepulauan dengan jalur pelayaran yang padat membutuhkan sistem navigasi yang andal untuk menjamin keselamatan maritim. Automatic Identification System (AIS) merupakan perangkat penting yang digunakan untuk memantau identitas, posisi, dan pergerakan kapal. Penelitian ini bertujuan menganalisis kebutuhan energi AIS Class A pada Kapal Latih Barombong (KLB) milik Politeknik Pelayaran Barombong serta mengidentifikasi kendala suplai daya yang memengaruhi keberlangsungan operasional perangkat navigasi. Metode penelitian menggunakan pendekatan deskriptif kuantitatif melalui observasi lapangan dan analisis spesifikasi teknis sistem kelistrikan kapal. Hasil penelitian menunjukkan bahwa AIS Class A beroperasi pada 24 VDC dengan daya pancar maksimum 12,5 W dan konsumsi energi sekitar 288 Wh per hari. Namun, keterbatasan kapasitas baterai dan ketergantungan pada generator menyebabkan perangkat navigasi berpotensi padam saat suplai listrik terganggu. Penelitian ini menyimpulkan bahwa optimalisasi suplai daya sangat diperlukan, dengan rekomendasi berupa peningkatan kapasitas baterai, penerapan sistem hybrid power supply, serta perawatan berkala untuk menjamin keberlangsungan operasional AIS sebagai pendukung keselamatan pelayaran.
Co-Authors . Istadi A Asriyanto A. Suhandi Abellia, Gaby Adi Pamungkas Agus Romadhon Agus Subagio Agus Subagio Agus Subagiyo Agustya Tri Surono Ahmad Pradana Ali Roo&#039;in Mas&#039;uul Alkian, Ilham Amalia, Dinda Andri Yanyah Anggraeni Dwi Haryowati Annisa Vidia Fajarini Ansory Khaerul Apriliyanda Nur Adha Ari Wibawa Budi Santosa Aries Subiantoro Aripin, Muhamat Aris Puji Widodo Arisa Dwi Sakti Aristi Dian Purnama Fitri Aristi Dian Purnama Putri Asriyanto Asriyanto Astri Suppa Supratman Aulia Narindra Mukhtar Ayu Adriyuni Lestari Babay Suhaemi, Babay Banto, Paulus Basuki Budi Raharjo Bayu Persawan Benyamin Kusumoputro Budi Mulyanti Budiman, Rizki C. I. Sutrisno Carles Yerid Absalom Nalle Catur Rakhmad , Handoko Choirul Anam Choirul Anam AM Diponegoro Dadang Suprijatna Darwin Ismail Dewi Indiastari Dewi Widyaningsih Didi Candradikusuma Dilla Sistesya Dita Kesumayadi Donni Damara Dwi Adhianto Dwi Antoro, Dwi Dwitarahma, Marshandyar Edi Supriyanto Edwin Zusagka Edy Supriyanto Eko Hidayanto Eko Hidayanto Eko Hidayanto Eko Hidayanto Ery Budiman Fachriza Noor Abdi Fandi Fandi Fatma, Endah Fitri Suryani Arsyad Frederica Thalita Riqti Fredrikus Martono Abing Galih Puspa Saraswati Galih Puspa Saraswati Gede Wiratma Jaya Gede Wiratma Jaya Geoff Dougherty Gultom, Tiopan H. M H Hadiyanto Habik Setiawan Hadiyanto Hadiyanto Hamdy, Muhammad Hamzah Fuadi Hanum Yuda Aditya HAQQI, MUHAMMAD SABILA Hary Kusuma Hendri Widiyandari hermanto, djoko heri Hermawan, Hermawan I Gusti Bagus Wiksuana I Ketut Suada I. Istadi Ida Usman Iis Nurhasanah Iis Nurhasanah Iis Nurhasanah Indiastari, Dewi Indras Marhaendrajaya Indro Adi Nugroho Inur Tivani Isrina Nur Laili Iwan Setiyawan Japeri Japeri Jefri Pratama Susanto, Jefri Pratama Jhonwesly Manik K Sofjan Firdausi K Sofjan Firdausi Kadar Nurjaman Kartini Sinaga Kurniawan, Kukuh Dian Lilis Sulastri Luthfi Nurrahma Shofiana Ma’rufah, Hani Maman Budiman Maman Budiman Mardewi Jamal Marediyanti Pusvitasari Maryanto - Masayu Widiastuti Milanitalia Gadys Rosandy Moehamad Barmawi Mohamad Barmawi Mohammad Arief Rahman Muckharom, Ahmad Ali MUH. SYAFRIL SUNUSI Muhammad Arif Ikrimah Muhammad Irwanto Muhammad Jazir Alkas Muhammad Yusuf Mukaromah, Uli Aprilia Nastiti, Davina Maritza Ndaru Adyono Niniek Budiarti Niniek Budiarti B Nofi Marlini Nuha Nazilah Sahabudin Nur Hasim Efendi Nur Samsu NURJAMAN TINO ENDASAH Nursidi Yunanto Nurwati Nurwati Obet Lumalan Bijang Pandji Triadyaksa Pepen Arifin Pepen Arifin Prameswari Widya Ningtyas Pratama, Satya Priyono Priyono Qudsiyah, Risma Aimatul Rahmawati Rasito Tursinah, Rasito Ravael Eldad Pongtuluran Reyhana Almira Rahma Riky Ardiyanto Rin Hafsatul Asiah Riski Nihayati Rizky Asdi Kesuma Rizky Bimanda Sakti Rob Danang Priatmaja Rohmaniah, Siti Rosandi, Millanitalia Rosandy, Milanitalia Rosandy, Milanitalia Gadys Rosyad, Muhammad Sabilul Rudi Setiawan Rudi Sohidi Tohir S. Suryono Sa'adah, Fatkhiyatus Sahabudin, Nuha Nazilah Sanggam Ramantisan Santi Yuli Astuti Sembiring, Rinawati Setyowati, Lita Sheilla Rully Anggita Sheilla Rully Anngita, Sheilla Rully Simbolon, Ruminsar Simbolon, Ruminsar ok Singgih Wibowo Sinta Silvia Sri Soenarti Sriwidodo, Untung Suddin, Alwi Sufwan Durri Sukirno Sukirno Sukirno Sukirno Sulistia Nurdianik Supriyati Supriyati Sutikman, Sutikman Syamsul Arifin Syamsul Hidayah Tamrin Rahman Tato Bangun, Roy Teguh Tarsito Toto Winata Tri Windarti Triana Sharly P. Arifin Uli Aprilia Mukaromah veronica, Vera W Widiatini Wahyu Ambikawati Wahyu Setia Budi Wilda Amananti Wilda Amananti Winarsih Winarsih Wiwien Andriyanti WIWIEN ANDRIYANTI Yoel Midel Leitabun Yoyon Wahyono Yoyon Wahyono Yunita Indriyani Yuyun, Yuyun Zaenal Arifin Zaenal Arifin Zaenul Muhlisin Zakiyah Rahmawati