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Dedi Junaedi
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Sci-Tech Journal
Published by Masyarakat Ekonomi Syariah Bogor
ISSN : -     EISSN : 28306759     DOI : 10.56709
Core Subject : Health, Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Public Health
Sci-Tech Journal is a peer-reviewed national journal published by Masyarakat Ekonomi Syariah (MES) Bogor in collaboration with Institut Agama Islam Nasional (IAI-N) Laa Roiba Bogor, Ikatan Ahli Ekonomi Islam (IAEI), and Intelectual Association for Islamic Studies (IAFORIS) . This journal contains scientific papers from academics, researchers and practitioners in the fields of sciences, technology, information, bioindustry, and business research. E-ISSN 2830-6759
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 103 Documents
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Implementasi Diagram Kendali Shewhart untuk Pemeliharaan Prediktif Berbasis PLC dan IoT Mastang, Mastang; Pahmi , Muhammad Ali
Sci-tech Journal Vol. 4 No. 2 (2025): Sci-Tech Journal
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v4i2.904

Abstract

Predictive maintenance is a condition-based maintenance strategy that utilizes machine data to detect potential failures at an early stage before major breakdowns occur. This system integrates automation technology (PLC), the Industrial Internet, and statistical data analysis. This study discusses the application of the Shewhart control chart for automatic monitoring of servo motor torque and pneumatic cylinder cycle time. Torque and cycle time data are read by the PLC and transmitted to a server via Node-RED. On the server, the mean and standard deviation of these parameters are calculated, and the Upper Control Limit (UCL) and Lower Control Limit (LCL) are determined using a 3σ threshold. Data points falling outside the UCL/LCL are identified as process anomalies. In a case study involving several machines equipped with multiple servo motors and pneumatic cylinders, the system successfully detected servo motor torque anomalies before significant damage occurred. The analysis results indicate that with this methodology, the production process can run smoothly, since machine failures can be detected earlier, allowing preventive actions to be properly scheduled outside production hours.
Model dan Strategi Penerapan Recyclable Art Boutique sebagai Wadah Edupreneurship Komunitas Pacitan Cerdas untuk Transformasi Limbah Menjadi Produk Kreatif dan Income Generating Susanto, Hendra; Fitriyati, Umi; Witjoro, Agung; Wahyu Pratama, Ade; Nurul Izza, Jasmine
Sci-tech Journal Vol. 4 No. 2 (2025): Sci-Tech Journal
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v4i3.947

Abstract

This research aims to develop a model and strategy for the implementation  of Recyclable Art Boutique as a forum for edupreneurship of the  Pacitan Cerdas community in optimizing the transformation of waste into creative products with economic value. The main focus is directed at strengthening the community's capacity in processing recycled waste into functional works of art that have marketability and have an impact on increasing local wisdom-based income. This research uses a Research and Development (R&D) approach with the ADDIE (Analysis, Design, Development, Implementation, Evaluation) development model, which in this study is limited to the Development stage. The Analysis stage  was carried out to identify waste potential, training needs, and community interest in recycling art-based entrepreneurship. The Design stage  is focused on the preparation of learning models and strategies for the production, distribution, and branding  of Recyclable Art. In the Development stage,  a prototype of the Recyclable Art Boutique was developed in the form of training modules, product catalogs, digital marketing systems, and project-based learning plans. The results of the development show that this model has the potential to support community economic empowerment through a collaborative, sustainable, and educational approach.
Efektivitas Model SMEERI (Self Management Education for Pregnancy Risk) Melalui Video Edukasi dalam Meningkatkan Pengetahuan dan Keterampilan Kader Tentang Deteksi Dini Tanda Bahaya Kehamilan Nisma; Nurul Hidayah; Nadia Rahmawati; Nurul Jamil
Sci-tech Journal Vol. 4 No. 1 (2025): Sci-Tech Journal (STJ) In Press
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v4i1.675

Abstract

Pregnant women are vulnerable to various risks during pregnancy, so it is important for women to care about the condition of the fetus and themselves during this period. A self management education approach with the SMEERI model is needed to conduct early detection of pregnancy danger signs. This study aims to analyse the effectiveness of the SMEERI (Self Management Education for Pregnancy Risk) model through educational videos in improving the knowledge and skills of cadres on early detection of pregnancy danger signs. The study used a Quasi Experimental design with a pre-test and post-test approach in one group without a control group. The total respondents in this study were 15 posyandu cadres in the Tambelan Sampit Health Centre Working Area. The results showed that the Smeeri model through educational videos had a significant impact in improving knowledge and skills in early detection of pregnancy danger signs in health cadres. This study suggests that the development of the Smeeri programme can be applied in digital products or platforms that are easily accessible to the community.
Optimasi Pengolahan Minuman Sereal Instan Berbasis Tepung Pisang Jantan (Musa Acuminata Colla) dan Tepung Sorgum (Sorghum Spp) Nur'aini, Hesti; Muharsyaida, Femmi; Widawati, Lina
Sci-tech Journal Vol. 5 No. 1 (2026): Sci-Tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v5i1.890

Abstract

Instant cereal is an alternative food to replace staple foods, especially for breakfast that is rich in nutrition. A study has been conducted that aims to characterize the effect of the composition of banana flour and sorghum flour on the quality of instant cereal drinks. This study used a one-factor factorial design, namely the ratio of banana flour and sorghum flour with six treatment levels, namely P1K1 (0%:100%), P2K2 (20%:80%), P3K3 (40%:60%), P4K4 (60%:40%) and P5K5 (80%:20%), P6K6 (100%:0%). Physical analysis conducted on instant cereal drinks resulted in a yield of 94.70% to 94.70%, an absorption capacity of 1.20% to 1.50%, a viscosity of 49.15 mPa.s to 89.71 mPa.s, and a humidity of 1.69% to 3.24%. Chemical analysis yielded a moisture content of 1.55% to 2.61%, a protein content of 3.30% to 6.27%, and a fiber content of 2.04% to 3.05%. The best treatment analysis for appearance parameters yielded a value of 0.87 and an effectiveness value of 1.00. The feasibility analysis yielded a R/C ratio of 1.20.
Penerapan Media Augmented Reality Untuk Visualisasi Organ Tubuh Manusia di SMAS Dwi Putra Baihaqi Al Rosyid, Imam; Ramadi, Rikaro; Efendi, Yasin; Alam, Adi
Sci-tech Journal Vol. 5 No. 1 (2026): Sci-Tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v5i1.914

Abstract

This study aims to develop Augmented Reality (AR)-based learning media to facilitate the visualization of human organs in high school Biology instruction. The research background stems from students’ low comprehension of organ structures and functions, as well as the limited availability of interactive learning media in schools. The study employs a Research and Development (R&D) approach using the ADDIE model, which consists of analysis, design, development, implementation, and evaluation. The final product is an Android-based mobile application that presents 3D models of human organs through marker scanning. Validation results indicated that the media was rated as highly feasible by both material experts and media experts with a score of 100%, while student trials revealed a positive response with a score of 85%, categorized as highly feasible. These results confirm that the developed AR media is valid, practical, and effective in enhancing students’ understanding of human organs. The implication of this research is that AR can serve as an innovative alternative for developing Biology learning media in high schools.
Perancangan Platform Digital dalam Efektifitas Administrasi Pembelajaran Dwibahasa di MI Nurul Falah Naufal Abiyyu, Dzaky; Efendi, Yasin; Ramadi, Rikaro; Wathoni, Mahbubul; Palestina, Sari
Sci-tech Journal Vol. 5 No. 1 (2026): Sci-Tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v5i1.933

Abstract

The integration of administration and learning in madrasas still faces obstacles, including at MI Nurul Falah Rawa Mekar Jaya, where administrative management and English and Arabic language learning have not been optimal. This study aims to develop a website-based digital platform capable of integrating these two aspects to improve the efficiency and quality of learning. The study used the Research and Development (R&D) method with the ADDIE model through the stages of analysis, design, development, implementation, and evaluation, involving teachers and 30 fifth-grade students as trial subjects. The research instrument was a validation questionnaire from media experts, material experts, and student responses. The results showed that the media expert validation was 72.5% (valid), material experts 91% (very valid), and student responses 86.25% (very practical). These findings confirm that the developed digital platform is not only feasible to use but also effective in improving student learning outcomes while simplifying madrasah administration management, thus having implications for improving the quality of technology-based education in the madrasah environment.
Implementasi Metode Market Basket Analysis dan Collaborative Filtering untuk Rekomendasi Produk pada E-Commerce: VariasimotorJKT Dennis, Dennis; Mulyawan, Bagus; Dolok Lauro, Manatap
Sci-tech Journal Vol. 5 No. 1 (2026): Sci-Tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v5i1.956

Abstract

Local e-commerce often faces difficulties in providing relevant product recommendations due to diverse catalogs and heterogeneous user preferences. This study designs a hybrid recommendation system for VariasiMotorJKT by combining Market Basket Analysis (MBA) and Collaborative Filtering (CF). The data used are Completed orders from the VariasiMotorJKT store on Shopee for the period July–August 2024 with key attributes such as product name, quantity, buyer username, order time, and total price. The MBA component is extracted using Apriori/FP-Growth to build a “Frequently Bought Together” module, while the CF component (primarily user-based) generates personalized “For You” recommendations. Both are combined through a weighting/reranking scheme and stock filtering so that recommendations are ready to be displayed on product and cart pages. The evaluation is planned offline using chronological data sharing (train/validation/test) and Precision@K, Recall@K, MAP/NDCG@K, and Coverage metrics. The system is expected to improve product navigation, cross-sell/up-sell opportunities, and the quality of store owners’ merchandising decisions. The prototype was developed in a web environment (HTML/CSS, XAMPP) with a simple ETL pipeline for cleaning and basket/interaction matrix generation. The research results are expected to provide practical contributions for e-commerce SMEs and academic contributions as a case study for the application of data mining techniques for recommendations.
Perbandingan Sistem Prediksi Cuaca Harian Menggunakan Algoritma SVR dan XGBOOST Flianto, Steven
Sci-tech Journal Vol. 5 No. 1 (2026): Sci-Tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v5i1.960

Abstract

Mountain climbing activities are highly influenced by dynamic weather conditions; therefore, a system capable of accurately predicting daily weather is essential. This study focuses on comparing the performance of two machine learning algorithms — Support Vector Regression (SVR) and Extreme Gradient Boosting (XGBoost) — in developing a daily weather prediction system. Weather data were obtained from the Meteorology, Climatology, and Geophysics Agency (BMKG) with parameters including minimum temperature, maximum temperature, average temperature, humidity, rainfall, solar radiation, maximum wind speed, and wind direction. The research stages include data collection, preprocessing, model training using SVR and XGBoost, and performance evaluation using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Accuracy, and R² metrics. The results show that the SVR algorithm performs better than XGBoost in predicting daily weather data, particularly for temperature and humidity variables, with more stable accuracy across various observation stations.
Analisis Perbandingan Model XGBoost dan Random Forest untuk Prediksi Potensi Banjir di DKI Jakarta Wardoyo, Alek Piter
Sci-tech Journal Vol. 5 No. 1 (2026): Sci-Tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v5i1.961

Abstract

Flooding in DKI Jakarta is a hydrometeorological disaster that requires an accurate early warning system. The main problem with current prediction systems is the limitation in integrating climate data from upstream (Bogor) with hydrological conditions downstream (Jakarta). This research aims to build and compare machine learning classification models to address this issue. The methods used are Extreme Gradient Boosting (XGBoost) and Random Forest, utilizing integrated data covering rainfall (Jakarta and Bogor) and Water Level (TMA) at the Katulampa and Manggarai floodgates for the period of January 2024 to March 2025. The models were evaluated using hyperparameter tuning (GridSearchCV, RandomizedSearchCV) on two data split schemes (70:30 and 80:20). The research results show that the XGBoost model with GridSearchCV on the 80/20 scheme provided the best performance with an accuracy of 82.61%. The best Random Forest model (GridSearchCV, 80/20) achieved an accuracy of 80.43%. Although XGBoost was numerically superior, the results of the McNemar's Test indicated that there was no statistically significant difference (calculated x2 0.25 < table x2 3.841) between the performance of the two models.
Pengembangan Media Pembelajaran Berbasis Sistem Presensi Face Recognition Integrasi GPS MTS Daarul Hikmah Asyidqi, Ahmad; Efendi, Yasin; Wathoni, Mahbubul; Palestina, Sari
Sci-tech Journal Vol. 5 No. 1 (2026): Sci-Tech Journal (STJ)
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v5i1.1007

Abstract

This study aims to develop a digital attendance system-based learning media integrated with face recognition technology and Global Positioning System (GPS) to support the assessment of students' discipline and responsibility at MTs Daarul Hikmah. The background of the study is based on the problem of using a manual attendance system that is prone to manipulation and is less effective in supporting technology-based learning. This study uses a research and development method (R&D) with the ADDIE model consisting of five stages, namely: Analysis, Design, Development, Implementation, and Evaluation. The development results show that the digital attendance system is able to automatically record student attendance based on facial verification and GPS location when attendance is carried out. The system was developed using the AppSheet platform connected to Google Spreadsheet as a database. Validation was carried out by material experts, media experts, and student responses, which showed an average feasibility percentage of 91.1%, including the "Very Feasible" category. This learning media not only functions as an attendance recording tool, but also as a means of instilling character values through the application of technology. Thus, this system is expected to be an effective digital attendance solution while supporting the implementation of character-based learning and technology in madrasas.

Page 10 of 11 | Total Record : 103

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