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All Journal Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Gentala Pendidikan Dasar Jurnal Teknik dan Informatika JURNAL ILMIAH EDUKATIF Bioscientist : Jurnal Ilmiah Biologi Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi (JEBMA) Instal : Jurnal Komputer INTERNATIONAL JOURNAL OF CULTURAL AND SOCIAL SCIENCE Bulletin of Information Technology (BIT) Jurnal Budgeting Tabayyun : Journal of Islamic Studies Bulletin of Engineering Science, Technology and Industry Prosiding Seminar Nasional Keguruan dan Pendidikan (SNKP)
Khairul
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Transportation Other

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Penerapan Data Mining Untuk Klasifikasi Penduduk Miskin Di Kabupaten Labuhanbatu Menggunakan Random Forest Dan K-Nearest Neighbors Ernawati, Andi; Khairul; Sitorus, Zulham; Iqbal, Muhammad; Nasution, Darmeli
Bulletin of Information Technology (BIT) Vol 6 No 2: Juni 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i1.1783

Abstract

This study aims to apply and compare the performance of two data mining algorithms—Random Forest (RF) and K-Nearest Neighbors (KNN)—in classifying poverty status among residents of Labuhanbatu Regency. The dataset includes information on occupation, income, housing, and education from 21,137 individuals. After undergoing preprocessing, model training, hyperparameter optimization, and evaluation, both models were assessed using five key metrics: accuracy, precision, recall, F1-score, and AUC. The results show that Random Forest performed slightly better than KNN, achieving an accuracy of 0.6023, precision of 0.4827, recall of 0.4177, F1-score of 0.4479, and an AUC of 0.5681. In comparison, KNN obtained an accuracy of 0.5990, precision of 0.4771, recall of 0.4006, F1-score of 0.4355, and an AUC of 0.5622. Based on these findings, it can be concluded that Random Forest is more effective for poverty classification on this dataset, although the performance difference is relatively small.
ANALISIS POTENSI EKONOMI DESA DAN PROSPEK PENGEMBANGANNYA MELALUI SISTEM INFORMASI PEMETAAN POTENSI DESA (SIPENA) Jantianus, Jantianus; Khairul; Naibaho, Dameria; Indahwati, Rini; Tambun, Rosmaida
Jurnal Budgeting Vol. 6 No. 1 (2025): Edisi Mei
Publisher : Politeknik Negeri Medan

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

Abstract

In improving the economy of rural communities, it is necessary to map the available economic potential. Primary data collection on the economic potential of the village, namely in Nangbelawan, is carried out by interviewing partners, directly reviewing the available potential. From all the data and information collected in the integration in a website system: pesikap-nangbelawan.com. Information needed by users about the economic potential of the village can be obtained, including, agriculture, animal husbandry, fisheries, tourism, and liquid organic fertilizer. Natural resources that are quite fertile, sufficient rainfall, easy marketing of agricultural products, potential sources of labor are the strengths of the Nangbelawan village, but human resources are still very weak in utilizing the available potential. The economic potential that is the mainstay in the Nangbelawan village is carrot farming and cattle farming. The potential for livestock farming is very supportive because carrot agricultural waste can be used for cattle feed. By mapping the economic potential of the village through the pesikap-nangbelawan.com website, the development of the village economy that can be developed can be explored. In the future, this research will be developed so that the pesikap-nangbelawan.com website can be used as a patron for every village in North Sumatra in exploring and developing the economic potential of each village. Keywords: mapping, potential, information, development
Efisiensi Penyerapan Anggaran di Dinas Pendidikan dan Kebudayaan Kabupaten Lima Puluh Kota Wiryatama, Harry; Khairul
Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi (Jebma) Vol. 3 No. 2 (2023): Article Research Volume 3 Issue 2, July 2023
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jebma.v3i2.2655

Abstract

Penelitian dilatarbelakangi oleh perencanaan anggaran pada pemerintah Kabupaten Lima Puluh Kota yaitu terdapat kegiatan yang tidak sesuai dengan perencanaan, dimana para perencanaan SKPD dalam menyusun RKA tidak menentukan skala prioritas yang dapat menyebabkan tidak maksimalnya penyerapan anggaran. Penelitian ini menggunakan pendekatan kualitatif dengan purposive sampling kemudian di analisis menggunakan reduksi data, display data dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa Penyerapan anggaran pada dinas pendidikan dan kebudayaan Kabupaten Lima Puluh Kota dinilai sudah efisien yang mengacu pada kebijakan pemerintah Kabupaten Lima Puluh Kota, namun ada problematika yaitu terjadinya pemborosan biaya dari ATK dan terdapatnya SILPA (sisa lebih anggaran). Efisiensi penyerapan anggaran dari segi pelaksanaan sudah terialisasi dari segi program yang ada pada tahun 2018-2022 sudah tercapai. Laporan realisasi anggaran dinas pendidikan dan kebudayaan Kabupaten Lima Puluh Kota tahun 2018-2022 yang terdiri dari dua program yaitu belanja operasional dan belanja modal sudah cukup baik. Namuan terjadi penurunan realisasi anggaran pada tahun 2022 hanya 95,52 % belanja operasional dan 87,53% belanja modal.
DEVELOPMENT OF A GUIDED INQUIRY-BASED BIOLOGY MODULE FOR TEACHING THE HUMAN REPRODUCTIVE SYSTEM FOR GRADE XI STUDENTS AT SMA NEGERI 1 NA IX X Dewi Triana; Harahap, Hasmi Syahputra; Khairul
International Journal of Cultural and Social Science Vol. 6 No. 3 (2025): International Journal of Cultural and Social Science
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53806/ijcss.v6i3.1117

Abstract

This study aims to develop a guided inquiry-based biology learning module on the reproductive system material for grade XI SMA/MA. This research is a type of research and development (Research and Development or can also be called R&D). Research and Development (R&D) is one of the research models used to produce a specific product from a problem and test the effectiveness of the product. The results of product validation and trials indicate that the guided inquiry-based biology learning module on the reproductive system material for grade XI SMA/MA obtained qualifications with a validation level of "very suitable" to use and received positive responses from biology teachers and students. This was obtained based on the percentage of product validation and trials results. The percentage results obtained for each were material experts at 91%, media experts at 81%, teacher responses at 96%, and student responses at 86.2%.
Pengaruh Model Pembelajaran Problem Based Learning Menggunakan Vidio Pembelajaran Berbasis Artificial Intelligence (AI) Terhadap Hasil Belajar Siswa Pada Materi Sistem Pencernaan Manusia di Kelas XI MIA SMA Swasta Muhammadiyah 10 Rantauprapat Syahputra, Dicky Ananda; Harahap, Hasmi Syahputra; Khairul; Sari, Novi Fitriandika
Bioscientist : Jurnal Ilmiah Biologi Vol. 13 No. 3 (2025): September
Publisher : Department of Biology Education, FSTT, Mandalika University of Education, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/bioscientist.v13i3.17519

Abstract

This study aims to analyze the effect of implementing Problem-Based Learning (PBL) assisted by Artificial Intelligence (AI)-based video on students’ learning outcomes in the topic of the human digestive system. The research employed a quasi-experimental method with a Pretest-Posttest Control Group Design. The participants of the study were eleventh-grade students of SMA Swasta Muhammadiyah 10 Rantauprapat. The instruments used in this study included a learning achievement test and a student response questionnaire. Data were analyzed using the t-test. The results show that the application of the Problem-Based Learning learning model with the help of Artificial Intelligence (AI)-based videos is proven effective in improving student learning outcomes on the human digestive system material. This is seen from the increase in the average score, the lowest score, and the highest score, and is supported by the results of normality tests, homogeneity tests, and One Sample Tests that show significant differences. The implication of this finding is the need for educators to not only rely on conventional learning, but also combine it with innovative learning strategies or media. The combination of the two is believed to increase the effectiveness of learning and student motivation.
EVALUATION OF INFORMATION TECHNOLOGY GOVERNANCE E-KINERJA SYSTEMS IN ASSESSING EMPLOYEE PERFORMANCE USING THE MODEL COBIT 2019 AT THE DISTRICT COMMINFO OFFICE WAS REALLY FUN Eswin Syahputra; Khairul; Muhammad Iqbal; Rian Farta Wijaya; Darmeli Nasution
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 3 (2024): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i3.60

Abstract

The Department of Communication and Information Technology (Kominfo) in developing an e-performance information system needs to carry out a governance evaluation. The aim of this research is to evaluate information technology governance in the E-Kinerja system in assessing employee performance at the Bener Meriah Regency Communication and Information Service using the COBIT 2019 model using the Action Research method. Data collection techniques use two sources of primary data and secondary data. The results of this research are three main domains in COBIT 2019, namely EDM02 (Ensured Benefits Delivery), APO10 (Managed Vendors), and BAI11 (Managed Projects). This evaluation is carried out to measure the targeted capability level (to-be), the current capability level (as-is), as well as the gaps (GAP) that exist between the two. So the capability level in the EDM02 domain is at level 4, the APO10 domain is at level 2 and the BAI11 domain is at level 2. These findings provide an overview of areas that require further improvement and development to achieve more effective and efficient information technology governance. Thus, it is hoped that this research can contribute to improving the quality of information technology governance at the Bener Meriah Regency Communication and Information Service, as well as becoming a reference for other government agencies in implementing the COBIT 2019 model for evaluating information technology systems.
MACHINE LEARNING ANALYSIS IN IMPROVING THE EFFICIENCY OF THE STUDENT ADMISSION DECISION MAKING PROCESS NEW AT PANCA BUDI MEDAN DEVELOPMENT UNIVERSITY M. Rasyid; Zulham Sitorus; Rian Farta Wijaya; Muhammad Iqbal; Khairul
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 3 (2024): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i3.62

Abstract

The decision-making process in admitting new students is a crucial aspect that can influence the quality and efficiency of academic administration in higher education. This research aims to analyze the role of Machine Learning methods, especially Support Vector Machines (SVM), in increasing the efficiency of the decision-making process for new student admissions at the Panca Budi Development University, Medan. The data used in this research includes information from the student admissions process for the odd semester of the 2022/2023 academic year, which includes various variables such as Registration Number, School of Origin, Registration Payment, and others. The data is divided into a training set (70%) and a testing set (30%). The Support Vector Machine (SVM) model that was built was evaluated using metrics such as accuracy, precision, recall, and F1-Score. The research results show that the SVM model achieves an accuracy of 100%, with high precision and recall for both classes. Precision for both classes reached 1.00, while recall for the minority class (class 1) reached 0.91, indicating excellent model performance in classification. The conclusion of this research is that the Support Vector Machine (SVM) model can significantly increase efficiency and accuracy in the decision-making process for new student admissions at the Panca Budi Development University in Medan compared to conventional methods. These findings indicate that the application of Machine Learning methods can provide substantial benefits in the context of academic administration.
COMPARATIVE ANALYSIS OF NAIVE BAYES ALGORITHM AND C4.5 ALGORITHM IN SELECTING TYPES OF UMKM PRODUCTS IN BBPSDMP KOMINFO MEDAN TRAINING Alex Siregar; Leni Marlina; Khairul; Muhammad Iqbal; Andysah Putera Utama Siahaan
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 3 (2024): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i3.64

Abstract

This study compares the accuracy of the Naïve Bayes and C4.5 algorithms in determining the most suitable product types for Micro, Small, and Medium Enterprises (MSMEs) participating in the Digital Entrepreneurship Academy (DEA) training program at BBPSDMP Kominfo Medan. This study uses a dataset from DEA participants between 2021 and 2022. The analysis shows that the C4.5 algorithm has a higher accuracy compared to Naïve Bayes, indicating its better effectiveness in helping MSMEs choose product types. These findings suggest that C4.5 is more suitable for applications that require a high level of accuracy, especially in the context of this study. This study provides valuable insights into the selection of algorithms to support decision making in the MSME sector.
Rancangan Sistem Interface Tim Penggerak Pemberdayaan Kesejahteraan Keluarga Pada Desa Kelambir V Kebun Eka Putra; khairul; Farta Wijaya, Rian; Putra Nauli Harahap, Sutan
PROSIDING SEMINAR NASIONAL KEGURUAN DAN PENDIDIKAN (SNKP) Vol. 2 (2024): Prosiding Seminar Keguruan dan Pendidikan (SNKP) 2024
Publisher : LPPM UNIVERSITAS MUHAMMADIYAH MUARA BUNGO

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

Abstract

Pada Perkembangan Teknologi saat ini semakin canggih yang mana di instansi sudah banyak yang mengunakan aplikasi berbasis web. Pada Desa Kelambir v Kebun saat ini proses pengolahan data PKK saat ini masih menggunakan microsoft office dalam proses penyimpanan data. Proses penyimpanan data seperti ini dapat menyebabkan data tidak aman. Maka dari itu peniliti akan membuat suatu rancangan untuk menyimpan data dengan komputerisasi yang cukup memadai dan aman. Agar laporan yang akan dibutuhkan nantinya dapat diproses secara tepat oleh Pihak Desa Kelambir v Kebun. Dari masalah yang sudah didapat sehingga didapatlah sebuah solusi dengan cara menerapkan Rancangan sistem PKK berbasis web. Dengan adanya penelitian ini dapat mempermudah penyimpanan data dan pada saaat data dibutuhkan  tidak memakan waktu yang lama.
Co-Authors Abdul Pandi Adim, Saiful Alex Siregar Alviona Marsya Andi Ernawati Andysah Putera Utama Siahaan Annisa Asrul Abdullah Aulia, Ananda Darmeli Nasution Devani Dewi Triana Eka Putra Eswin Syahputra Farta wijaya, Rian Fatimah Fitriani Gusmi Harry Wiryatama Hasmi Syahputra Harahap, Hasmi Syahputra Ilmiah, Putri Khairil Irwan Syahputra Jantianus, Jantianus Leni Marlina M. Rasyid Mentari, Risca Sri Muhammad Iqbal Muhammad Iqbal Muhammad Irsyad Naibaho, Dameria Nasution, Darmeli Ndona, Yakobus Ofta Sari, Ayu Putra Nauli Harahap, Sutan Rian Farta Wijaya RINI INDAHWATI Rosmaida Tambun Rumiyatun Samsuddin Sari, Novi Fitriandika Sholihin siti fadilah Sitorus, Zulham Situmorang, Zenfitri Sofyan, Siti Nurhaliza Sri Yunita Sucipto Sucipto Suhardiansyah Syafi’I Syahputra, Dicky Ananda Syifa Triyadi, M Dico Tuti Andriani Wiryatama, Harry Wulan, Nawang Zalukhu, Anzas Ibezato