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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Communications in Science and Technology QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Jurnal Manajemen Informatika dan Sistem Informasi Infotek : Jurnal Informatika dan Teknologi Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) TOFEDU: The Future of Education Journal International Journal of Applied Educational Research (IJAER) Jurnal Intelek Dan Cendikiawan Nusantara Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat) PESHUM Pekayunan Consensus : Jurnal Ilmu Hukum
Zulkipli
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Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

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Optimization of an Automatic Water Disposal System Based on Internet of Things to Support the Smart Energy Concept Zulkipli; Huda, Dwi Nurul; As Saidah, Muthiah; Zulfachmi; Saputra, Aggry
Communications in Science and Technology Vol 10 No 2 (2025)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21924/cst.10.2.2025.1809

Abstract

The management of an Internet of Things (IoT)-based water system powered by solar energy faces significant challenges in achieving high power efficiency and long-term thermal reliability. The objective of this study is to identify the most optimal hardware configuration that balances specific energy efficiency (ηspecific) with minimizing thermal energy dissipation in a DC water pumping system. The methodology employed is a comparative experiment that tests six different scenarios, varying the topology of the voltage regulator (Linear Regulator and Buck Converter) and the pump actuator, with a total of 30 pumping cycles at a fixed water volume of 30 litres. The processing of data was undertaken through the utilization of descriptive statistical analysis and Standard Deviation (SD) on the parameters of Power, Temperature, and Water Discharge to measure stability. The findings indicated a critical trade-off between peak energy efficiency and operational stability. Scenario 4 (12V Relay and Mini 560 Buck Converter) emerged as the most optimal configuration, recording the highest Specific Energy Efficiency (1.94 Ws/L). This superiority is evidenced by its excellent thermal stability (36.88°C), which is comparable to that of low-power configurations. In contrast, although Scenario 6 (Synchronous Buck, 51 mm Pump) demonstrated the highest operational stability (Power SD=0.02111), it compromises pumping speed. It is concluded that the implementation of the Mini 560 Buck Converter is imperative in achieving a balance between energy savings and minimizing thermal dissipation, thereby rendering it an ideal selection for solar-powered Smart Energy systems.
Improving Imbalanced Polycystic Ovary Syndrome Classification Using a Leakage-Free Machine Learning Pipeline Permana, Baiq Andriska Candra; Zulkipli; Muhammad Wasil; Harianto
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16752

Abstract

Polycystic Ovarian Syndrome (PCOS) is a complex endocrine disorder affecting women of reproductive age and poses challenges for early diagnosis due to heterogeneous clinical presentations and imbalanced clinical datasets. This study aims to develop a data leakage–free machine learning pipeline to enhance the accuracy and reliability of PCOS classification using clinical data. The dataset underwent preprocessing and normalization, followed by stratified data splitting with an 80:20 ratio to maintain class proportions. The proposed pipeline was implemented within a unified computational framework integrating feature selection based on the ANOVA F-test, class imbalance handling using the Synthetic Minority Over-sampling Technique (SMOTE), and classification using a Support Vector Machine (SVM) with a Radial Basis Function (RBF) kernel. Hyperparameter tuning was performed using GridSearchCV combined with K-Fold Cross-Validation to ensure model robustness and consistency. The experimental results indicate that the proposed model achieved an accuracy of 0.9074, with precision, recall, and F1-score values of 0.8378, 0.8857, and 0.8611, respectively. Furthermore, ten dominant clinical features were identified, primarily related to hormonal profiles and ovarian morphology. These results demonstrate that the data leakage–free pipeline improves the validity and stability of PCOS prediction. The findings suggest that this approach may serve as a supportive tool for clinical decision-making, particularly in facilitating early and objective identification of PCOS.
The Implementation of the ISMUBA Program at SMK Muhammadiyah 1 Palembang Yulanda, Oddi; Zulkipli; Ade Akhmad Saputra
The Future of Education Journal Vol 5 No 1 (2026): #2 IN PROGRESS
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Yayasan Pendidikan Tumpuan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61445/tofedu.v5i1.1630

Abstract

This study aims to analyze the implementation of the Al-Islam, Kemuhammadiyahan, and Arabic Language (ISMUBA) Program at SMK Muhammadiyah 1 Palembang and to identify the supporting and inhibiting factors affecting its implementation. The ISMUBA Program is a distinctive educational program of Muhammadiyah designed to develop students who are faithful, pious, morally upright, and knowledgeable about Muhammadiyah values, as well as possessing basic proficiency in Arabic. This research employed a qualitative approach using a descriptive method. Data were collected through observation, interviews, and documentation, involving the Vice Principal for ISMUBA Affairs as the key informant and teachers as supporting informants. Data analysis was conducted through data reduction, data display, and conclusion drawing, while data validity was ensured through source, technique, and time triangulation. The findings indicate that the implementation of the ISMUBA Program at SMK Muhammadiyah 1 Palembang has been relatively effective, supported by religious habituation activities, classroom instruction, and school management support. The program has positively contributed to students’ learning outcomes and character development. Supporting factors include teacher competence, the availability of facilities and infrastructure, and a religious school environment. However, inhibiting factors include limited motivation, awareness, and enthusiasm among some students in participating in ISMUBA activities. Therefore, enhanced coordination, guidance, communication, and motivational strategies are necessary to optimize the implementation of the ISMUBA Program.
The Effect of Facilities and Infrastructure on Students’ Interest in Visiting the Library at SMA Muhammadiyah 2 Palembang Ramadhan, Gilang; Zulkipli; Ade Akhmad Saputra
The Future of Education Journal Vol 5 No 1 (2026): #2 IN PROGRESS
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Yayasan Pendidikan Tumpuan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61445/tofedu.v5i1.1672

Abstract

This study aims to analyze the effect of library facilities and infrastructure on students’ interest in visiting the library at SMA Muhammadiyah 2 Palembang and to determine whether such an effect exists. This research employed a quantitative approach. The sampling technique used was simple random sampling, in which samples were selected randomly from the population without considering strata. The population consisted of 589 students, and the sample size was determined as 10% of the population, resulting in 86 respondents. The library facilities and infrastructure variables in this study were based on the National Library Standards (SNP) No. 12 of 2017. Data analysis was conducted using simple linear regression with SPSS version 23. The results of the study partially indicate that the facilities and infrastructure variable (X) has a significant effect on students’ interest in visiting the library at SMA Muhammadiyah 2 Palembang. This is evidenced by the t-value (20.113) being greater than the t-table value (1.98525) and the significance value (0.000) being less than 0.05. Thus, it can be concluded that library facilities and infrastructure significantly influence students’ interest in visiting the library.
Co-Authors Abdurohman, Saepul Amelia Amir Bagja Aris Sudianto Arti Yoesdiarti AS SAIDAH, MUTHIAH Baiq Andriska Candra Permana Dini Liyani Dwi Nurul Huda Erna Dwi Kurniawati Faisal Fatah, Muhamad Arifin Abdul Fathurrahman, Imam Febriyanti Fikri, Muhamad Abduloh Firmansyah Gilang Ramadhan Harianto Harianto Harianto Inez Zyfana, Gina Jumawal Lestari, Bening Intan Linar Humaira Luil Maknun M. Nurul Wathani Maulidi, Dedi Mu'Tashim, Aan Muhamad Rodi Muhammad Rodi Muhammad Wasil Muhammad Wasil Nabila, Salsa Nani Yulianti Permana, Rifal Pranata, Aditya Pranatalindo Simanjuntak Rabial Kanada, Rabial Rooy Marthen Thaniket Sabirin Haris, M. Saputra, Ade Akhmad Saputra, Aggry Saputri, Tri Aprilia Satrio, Muhammad Firas Sevta Aji Dara, Della Sholihah, Hikmatun Sinaga, Jultri Hotmando Syahidah, Izzatun Syahputra, Kamarujaman Dwi Usma Wardani, Iwan Windi Arista Yanyan Mulyaningsih Yulanda, Oddi Yupi Kuspandi Putra Zaenul Amri Zulfachmi, Zulfachmi