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All Journal Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) INTECOMS: Journal of Information Technology and Computer Science Jurnal Ilmu Komputer Journal of Applied Data Sciences Bangun Desa : Jurnal Pengabdian Masyarakat Pengabdian Jurnal Abdimas Jurnal Kajian Islam dan Sosial Keagamaan
Yulanda, Yulanda
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Mathematics Nursing Public Health Social Sciences Other

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ANALISIS MENUMBUHKAN MINAT BERWIRAUSAHA PESERTA DIDIK OLEH GURU DI SMK SUPM KALBAR Yulanda, Yulanda; Genjik, Bambang; Basri, Muhammad
Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Vol 13, No 12 (2024): Desember 2024
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jppk.v13i12.70881

Abstract

This research aims to determine teachers' efforts to foster students' interest in entrepreneurship, supporting factors and inhibiting factors to foster students' interest in entrepreneurship. This type of research uses descriptive methods and the approach used by researchers is a qualitative approach. The presence of researchers is the main tool in collecting data and the research participants in this research are entrepreneurship teachers and students. The data collection techniques used in this research were interviews and documentation. The analysis technique in this research uses data reduction, data presentation, and drawing conclusions. The results of this research are the efforts of entrepreneurship subject teachers to foster interest in entrepreneurship in students at the Pontianak SUPM Vocational School, namely motivating students, giving students examples of inspiring and successful stories in entrepreneurship, and practical activities. The supporting factor in fostering students' interest in entrepreneurship at SMK SUPM KALBAR is the entrepreneurial practice activities carried out every semester. Factors inhibiting the obstacles faced in fostering students' interest in entrepreneurship at the SUPM KALBAR Vocational School, namely the presence of students during class hours, students at the Vocational School are required to live in a dormitory so their dormitory is still in the same area as the classroom, sometimes they are too lazy to go to class, participant response Students who are lacking in learning, adequate infrastructure but students who are less enthusiastic about receiving lessons are one of the obstacles in increasing interest in entrepreneurship.
Inovasi Teknologi Dalam Pendidikan Dengan Penerapan Aplikasi Fuzzy Logic Untuk Identifikasi Belajar Di Sekolah Menengah Kejuruan Melyanti, Rika; Yulanda, Yulanda; Fonda, Hendry; Muhardi, Muhardi
INTECOMS: Journal of Information Technology and Computer Science Vol 8 No 1 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v8i1.14569

Abstract

Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan aplikasi berbasis fuzzy logic untuk mengidentifikasi gaya belajar siswa di SMK Perbankan Riau. Ruang lingkup penelitian mencakup analisis gaya belajar siswa dan penerapan teknologi fuzzy logic dalam proses identifikasi tersebut. Metode yang digunakan meliputi pengembangan aplikasi menggunakan algoritma fuzzy logic dan uji coba pada sampel siswa di SMK Perbankan Riau. Hasil penelitian menunjukkan bahwa aplikasi ini mampu mengidentifikasi gaya belajar siswa dengan tingkat akurasi yang tinggi. Selain itu, aplikasi ini juga membantu guru dalam menyesuaikan metode pengajaran sesuai dengan gaya belajar siswa yang teridentifikasi. Penerapan teknologi ini menunjukkan peningkatan dalam keterlibatan siswa dan pemahaman materi pembelajaran. Simpulan dari penelitian ini menyatakan bahwa penggunaan fuzzy logic dalam identifikasi gaya belajar merupakan inovasi yang efektif dan efisien. Implikasi dari hasil riset ini memberikan kontribusi signifikan bagi pengembangan ilmu pengetahuan di bidang pendidikan, khususnya dalam penerapan teknologi informasi untuk meningkatkan kualitas proses pembelajaran. Penggunaan aplikasi ini juga diharapkan dapat diaplikasikan pada tingkat pendidikan lainnya di masa depan.
SISTEM PAKAR (EXPERT SYSTEM) UNTUK PENGHITUNGAN ANGKA KREDIT DOSEN DENGAN MENGGUNAKAN METODE FORWARD CHAINING DALAM PENGURUSAN JABATAN FUNGSIONAL DOSEN Yulanda, Yulanda
Jurnal Ilmu Komputer Vol 3 No 1 (2014): Jurnal Ilmu Komputer
Publisher : STMIK Hang Tuah Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33060/JIK/2014/Vol3.Iss1.21

Abstract

Sistem pakar merupakan sistem yang menggabungkan antara pengetahuan dan penelusuran data untuk memecahkan suatu masalah yang memerlukan keahlian manusia. Tujuan pengembangan sistem pakar bukan untuk menggantikan peran manusia atau pakar, melainkan untuk mendistribusikan pengetahuan manusia ke dalam bentuk sistem. Representasi pengetahuan yang digunakan pada penelitian ini adalah production rule, dan metode inferensi yang digunakan adalah forward chaining. Pembahasan utama dalam penelitian ini adalah perancangan dan pembuatan sistem pakar dengan menggunakan metode forward chaining untuk menghitung Angka Kredit Dosen dalam pengurusan jabatan Fungsional Dosen.
PENERAPAN DATA MINING MENGGUNAKAN METODE CLUSTERING EVALUASI DATA PENJUALAN PT ASPACINDO KEDATON MOTOR: PENERAPAN DATA MINING MENGGUNAKAN METODE CLUSTERING EVALUASI DATA PENJUALAN PT ASPACINDO KEDATON MOTOR Hartomi, Zupri Henra; Sabna, Eka; Yulanda, Yulanda; Amartha, Mohd; sanjaya, Rifki
Jurnal Ilmu Komputer Vol 11 No 2 (2022): Jurnal Ilmu Komputer
Publisher : STMIK Hang Tuah Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33060/JIK/2022/Vol11.Iss2.275

Abstract

Perkembangan teknologi komunikasi dari waktu kewaktu dirasakan semakin pesat, salah satunya adalah dalam usaha penjualan. PT. Aspacindo Kedaton Motor Pekanbaru merupakan usaha yang bergerak dalam bidang Penjualan sepeda motor. Dalam hal ini penginputan penjualan hanya dijadikan sebagai laporan tanpa ada pengembangan data yang lebih lanjut untuk dijadikan sebuah pengetahuan. Oleh karena itu dibutuhkan Penegeloaan Data Mining dengan motode klustering untuk mengolah data transaksi penjualan, sehingga diproleht sebuah keputusan yang dapat digunakan untuk menganalisis data penjualan. Tujuan utama dari metode clustering adalah pengelompokan sejumlah data/obyek ke dalam cluster, dimana cluster tersebut akan berisi data yang sama dengan groupnya masing-masing. Manfaatnya mempermudah analisis data yang besar dan membantu memberikan informasi data penjualan. Hasil dari penelitian ini diperoleh perbandingan daerah mana menghasilkan banyak penjualan yaitu kluster 1 pada daerah Tenayan Raya, kluster 2 pada daerah Limapuluh. Dan kluster 3 pada daerah Payung sekaki. Dari pola yang di peroleh di harapkan dapat memberi pengetahuan untuk PT. Aspacindo Kedaton Motor Pekanbaru sebagai pendukung untuk mengambil kebijakan.
Enhancing Educational Practices through Simple Online Learning Applications for Vocational Teachers at Abdurrab Pekanbaru Melyanti, Rika; Yulanda, Yulanda; Fonda, Hendry
Pengabdian: Jurnal Abdimas Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/abdimas.v3i2.1388

Abstract

ABSTRACTBackground. The rapid advancement of technology in education necessitates the adoption of digital tools to facilitate effective teaching and learning processes. Purpose. The primary objective of this community service activity is to empower vocational teachers with an easy-to-use online learning platform that enhances their instructional methods and improves student engagement.Method. The application was developed using user-centered design principles to ensure it meets the specific needs of the teachers. Training sessions were conducted to familiarize the teachers with the application, followed by a pilot phase to gather feedback and make necessary adjustments. Results. The implementation of the online learning application resulted in increased teacher satisfaction, improved student participation, and a more interactive learning environment. Conclusion. The project demonstrates that simple, user-friendly digital tools can significantly enhance educational practices in vocational schools. Future community service activities should explore the long-term impacts of such applications on teaching efficacy and student outcomes.
Optimization of Machine Learning Models for Risk Prediction of DHF Spread to Support Management Strategies in Urban Areas Devis, Yesica; Muhamadiah, Muhamadiah; Yulanda, Yulanda; Irawan, Yuda; Wahyuni, Refni
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.898

Abstract

Dengue fever is an endemic disease that poses a serious threat to public health in tropical regions such as Indonesia. Efforts to control this disease require a data-based approach that is able to accurately predict the level of risk so that interventions can be targeted. This study aims to develop a predictive model of DHF risk using ensemble stacking method optimized with Optuna algorithm and integrated into an interactive dashboard based on Streamlit. The dataset used includes environmental, climate, and socio-demographic indicators from 2015 to 2024 with a total of 1,440 data entries. The preprocessing process includes normalization with Standard Scaler, feature selection using LASSO, and label data balancing with the SMOTE method. Model validation was performed using 10-Fold Cross Validation to ensure model generalization to new data. The stacking model is built with three basic algorithms, namely SVM, KNN, and Random Forest, which are combined using Logistic Regression as a meta-learner. The evaluation results show that the model is able to achieve an average accuracy of 97.57%, with high precision, recall, and f1-score values in all three prediction classes (low, medium, high). The ROC-AUC for each class also showed near-perfect performance. The implementation of the model in the Streamlit dashboard allows non-technical users such as health center or health office staff to perform regional risk prediction and obtain data-driven intervention recommendations automatically. This research not only contributes to the development of predictive technology, but also strengthens evidence-based health promotion practices in urban areas. Further research is recommended to integrate IoT-based real-time data and expand the scope of application areas.
Poligami Dalam Islam: Tinjauan Hadis Berdasarkan Teori Dasar Ilmu Hadis Yulanda, Yulanda; Valentina Ramadhany
Jurnal Kajian Islam dan Sosial Keagamaan Vol. 3 No. 2 (2025): Oktober - Desember
Publisher : CV. ITTC INDONESIA

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

Abstract

Polygamy is a permissible practice in Islam, provided that justice is the primary condition, as stated in Surah An-Nisa, verse 3. However, this verse does not specify the form of justice intended, thus opening up room for diverse interpretations among Muslims. In this context, the hadith of the Prophet Muhammad (peace be upon him) serves as an authoritative reference in explaining, limiting, and implementing the law of polygamy more concretely. This study aims to examine the relationship between the basic theory of hadith science, which includes its definition, classification, status, function, and the law of denying hadith, and the understanding of polygamy in Islam. This research uses a qualitative method with a library research approach. The results of the study indicate that the hadith discussing polygamy are mostly authentic and have binding legal force. Through the theory of hadith science, it can be understood that hadith is not only a complement to the Qur'an, but also a source of law that has an explanatory, limiting, and controlling function regarding the practice of polygamy. Thus, understanding the law of polygamy cannot be separated from the methodology of authentic hadith science.
Multimodal Deep Learning and IoT Sensor Fusion for Real-Time Beef Freshness Detection Kurniawan, Bambang; Wahyuni, Refni; Yulanda, Yulanda; Irawan, Yuda; Habib Yuhandri, Muhammad
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.977

Abstract

Beef freshness quality is one of the important indicators in ensuring food safety and suitability. However, conventional methods such as manual visual inspection and laboratory testing cannot be widely applied in real-time and mass scale. To overcome these challenges, this study proposes a meat freshness detection system based on a multimodal approach that combines visual imagery and gas sensor data in a single IoT-based framework. This system is designed by utilizing the YOLOv11 architecture that has been optimized using the Adam optimizer. The dataset consisted of 540 original beef images, expanded into 1,296 images after augmentation. The model is trained on these augmented images and is able to achieve detection performance with a mAP@0.5 value of 99.4% and mAP@0.5:0.95 of 95.7%. As a further improvement, the cropped image features from the YOLOv11 model are processed through a combination of the ViT model and CNN to classify the level of meat freshness into three classes: Fresh, Medium, and Rotten with an accuracy of 99%. On the other hand, chemical data was obtained from the MQ136 and MQ137 gas sensors to detect H₂S and NH₃ levels which are indicators of meat spoilage. Data from visual and chemical data were then combined through a multimodal fusion method and classified using the Random Forest algorithm, producing a final prediction of Fit for Consumption, Need to Check, and Not Fit for Consumption. This multimodal model achieved a classification accuracy of 98% with a ROC-AUC score approaching 1.00 across all classes. While the proposed system achieved very high accuracy, further validation across diverse real-world environments is recommended to establish its generalizability.
Pencegahan Stunting Melalui Edukasi Pentingnya ASI Ekslusif dan Demonstrasi PMT Pada Ibu Hamil dan Menyusui di Desa Bondowoso Kab. Magelang, Jawa Tengah Rabinu, Sapia; Sumarni, Sumarni; Asttuti, Desi Fitri; Amiruddin, Fatach; Ana, Melly; Senorita, Putri; Peuhulu, Rosmawati; Amaliah, Mutiara; Hidayah, Siti Nurul; sa’adah, Nur Salamatus; Darmawan, Yogi Dwiki; Yulanda, Yulanda
Bangun Desa: Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2024)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/jbd.2024.3(1).8-16

Abstract

Stunting dapat menyebabkan gangguan pertumbuhan dan perkembangan pada anak. Angka stunting di Indonesia masih cukup tinggi. Salah satu solusi untuk permasalahan stunting di Indonesia adalah pemberian ASI eksklusif. Kandungan dalam ASI dapat berperan sebagai zat pembangun, zat pengatur, dan zat tenaga. Pentingnya edukasi mengenai ASI eksklusif menjadi salah satu cara pencegahan stunting pada anak. Jawa Tengah merupakan salah satu provinsi yang paling besar prevalensi pendek (stunting) diatas angka nasional dengan prevalensi stunting pada tahun 2020 sebesar 13,8%. Pelaksanaan edukasi ASI eksklusif pada ibu hamil di Desa Bondowoso Kab. Magelang, Jawa Tengah menggunakan metode penyuluhan dan demonstrasi kepada 10 orang ibu hamil dan menyusui. Kegiatan ini bertujuan untuk meningkatkan pengetahuan masyarakat tentang bahaya stunting dan manfaat ASI Eksklusif yang kaya gizi dan murah dalam pencegahan stunting. Kegiatan yang dilakukan berupa edukasi manfaat pemberian ASI Eksklusif dan zat gizi yang terkandung dalam ASI dilanjutkan demonstrasi masak PMT untuk Ibu-Ibu di Desa Bondowoso Kab. Magelang, Jawa Tengah. Hasil dari pengabdian ini Ibu-ibu dapat mengetahui pentingnya pemberian ASI Eksklusif untuk mengurangi angka kejadian stunting. Diharapkan setelah dilakukan edukasi masyarakat khususnya ibu yang memiliki bayi dan wanita usia subur, pasangan suami istri dapat menerapkan pemberian ASI Eksklusif guna menekan angka kejadian stunting.Kata Kunci : Edukasi, Stunting, Asi Ekslusif, Ibu Hamil Dan Menyusui
Moderasi Beragama Dalam Bingkai Toleransi Masyarakat Desa Pendreh Asmawati, Asmawati; Yulanda, Yulanda; Sariantoni, Sariantoni; Jannah, Norrahmah Hidayatul; Melati, Melati; Ningsih, Mawar Yulianti
Bangun Desa: Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2023)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/jbd.2023.2(2).54-59

Abstract

Penelitian ini membahas tentang moderasi beragama dalam kerangka toleransi di Desa Pendreh. Kajian ini menegaskan hendaknya bersikap moderat dalam kerukunan umat beragama, karena hal ini akan menciptakan keharmonisan antar agama atau kepercayaan. Penelitian ini merupakan jenis penelitian kualitatif, lokasi penelitian dilakukan di desa dan kecamatan Pendreh. Teweh Tengah, Kabupaten Barito Utara Provinsi Kalimantan Tengah.  dihuni beberapa agama yaitu hindu,islam Kristen, katolik. Toleransi beragama bukanlah tentang mengikuti keyakinan seseorang. Juga tidak bertukar keyakinan dengan kelompok agama yang berbeda. Toleransi di sini dipahami dalam pengertian mu’amalah (interaksi sosial), yaitu ada batasan-batasan umum yang boleh dilanggar atau tidak.Kata kunci: moderasi, toleransi, masyarakat
Co-Authors Amaliah, Mutiara Amartha, Mohd Amiruddin, Fatach Ana, Melly Asmawati Asmawati Asttuti, Desi Fitri Bambang Genjik Bambang Kurniawan Darmawan, Yogi Dwiki Devis, Yesica Fonda, Hendry Habib Yuhandri, Muhammad Hartomi, Zupri Henra Jannah, Norrahmah Hidayatul Melati Melati Melyanti, Rika Muhamadiah, Muhamadiah Muhammad Basri Muhardi Muhardi Ningsih, Mawar Yulianti Peuhulu, Rosmawati Rabinu, Sapia Refni Wahyuni sa’adah, Nur Salamatus Sabna, Eka sanjaya, Rifki Sariantoni, Sariantoni Senorita, Putri Siti Nurul Hidayah Sumarni Sumarni Valentina Ramadhany Yuda Irawan