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All Journal Faktor Exacta Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Sistem Informasi dan Ilmu Komputer Venus: Jurnal Publikasi Rumpun Ilmu Teknik Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Pemberdayaan Masyarakat: Jurnal Aksi Sosial
Senna Hendrian
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Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Algoritma Klasifikasi Data Mining Untuk Memprediksi Siswa Dalam Memperoleh Bantuan Dana Pendidikan Senna Hendrian
Faktor Exacta Vol 11, No 3 (2018)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (271.253 KB) | DOI: 10.30998/faktorexacta.v11i3.2777

Abstract

Education is one of the components of life that can support the success of a person towards life that much better again. Especially for the children that are in the scope of the age of compulsory education. but not all children can attend compulsory education, because several factors cause, one of which is the issue of tuition fees. To cope with the existing problems, then a standalone compiled Bina Bangsa School programs Help Fund education for students who are considered less capable in economic strata. In this study, the author uses the classification Algorithm Datamining Algorithm C4.5 to predict students in obtaining the help of the EducationFund. Sample data are drawn from the Upper secondary school (HIGH SCHOOL) Selfsustaining Bina Bangsa (BBM) that located in Kecamatan Gunungputri Kab. Bogor. From the results of testing and Validation of tests used Cros Confusion Matrix and ROC Curves. The results obtained for the value of Accuracy Algorithm C 4.5 is 98.80%, a value for the Precision of 98.02%, and the value for Sensitivity or Recall of 99.00%. Thus the algorithm C 4.5 is the best techniques and algorithms to predict Students in obtaining the help of the Education Fund. Keywords : data mining, algorithms of classification, algorithm C 4.5, the education fund
Implementasi Metode Analytical Hierarchy Process (AHP) Menentukan Karyawan Terbaik Pada CV. Diana Kosmetik Bandung Senna Hendrian
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 3 (2023): Agustus: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v1i3.1035

Abstract

Increasing the productivity of an agency's performance is inseparable from the quality of human resources (HR) who are reliable, professional and have high integrity. Increasing the competence or expertise of HR can support an increase in employee performance. Managing employee performance effectively is one of the key factors to improve the company's business performance. In this case, effective performance management includes the process of measuring employee performance objectively through a series of appropriate performance indicators. The problems that have been the inhibiting factors are 1) the process of determining the best employees still uses conventional methods, so errors often occur in evaluating employee performance, 2) there is no system or method that can quickly, precisely and accurately determine the best employees at CV Diana Cosmetics Bandung, so as to produce reports that are more organized, so that they can be used as a reference for future elections. Implementation of the Analytical Hierarchy Process (AHP) Method for Determining the Best Employees at CV. Diana Cosmetics Bandung is the right method to use so that the final result can be obtained by multiplying the priority criteria value with the priority value of the sub criteria according to the Employee value data, for example the value "0.17" in the discipline column row A results from "0.41" ( obtained from the sufficient value of employee A, the priority of the sub criteria is sufficient on discipline) multiplied by the priority of the disciplinary criteria "0.42".
Implementasi Metode Analitycal Hierarchy Process (AHP) Pada Sistem Pendukung Keputusan Penilaian Kinerja Guru SD Negeri Taruna Karya IV Bandung Senna Hendrian; Ade Kurnia Solihin; Galuh Krisna Dewanti
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 4 No. 1 (2024): Maret : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v4i1.761

Abstract

Taruna Karya IV State Elementary School (SD) Bandung City is one of the educational institutions in Bandung City, Taruna Karya IV Bandung State Elementary School organizes a teacher performance assessment program. In the process of assessing the performance of teachers at Taruna Karya IV Elementary School, Bandung City, the conventional method was used by filling out a questionnaire carried out by the school principal and the assessment team, then the questionnaire was recapitulated. The manual system and the number of teachers selected have caused school principals and the assessment team to experience difficulties in determining the teacher's decision with the best assessment. To find patterns in teacher performance assessment, a decision support system was built, through research. This research uses the Analytical Hierarchy Process (AHP) method. This method is used to evaluate and make multi-criteria decisions. It evaluates various alternatives based on different criteria and assigns a relative score to each alternative. Based on the results of this research, it produces better and more accurate calculations. If previously selection took 1 day, now with the decision support system the selection time is shorter. .
Implementasi Metode Forward Chaining pada Sistem Pakar Pemilihan Jurusan Sekolah Menengah Atas Senna Hendrian
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 4 No. 1 (2025): JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v4i1.4822

Abstract

Choosing a major at the high school (SMA) level is an important decision that can influence a student's academic and career future. However, many students have difficulty choosing a major that suits their interests and talents. Therefore, this research aims to design and build an expert system that can help students choose the right major in Senior High School (SMA). This system uses the Forward Chaining method, which works by tracing facts from student data, such as subject grades, interests and talents, then matching them with predetermined rules to provide recommendations for the most suitabel major. The Forward Chaining method was chosen because of its ability to compile inferences progressively based on available facts, so that it can provide results that are more accurate and appropriate to the student's condition. This system was developed using a programming language and database that supports knowledge-based rules. The test results show that this expert system is able to provide recommendations that are appropriate to the majors taken by students, as well as increasing efficiency in the major selection process. With this system, it is hoped that it can help students, teachers and schools in a more objective and data-based decision making process.
Implementasi Sistem Pakar dalam Kalkulasi Bantuan Korban Bencana Alam dengan Metode Help Victims of Natural Disasters Calculation Using Expert System Senna Hendrian; Muhammad Tri Habibie; Ade Kurnia Solihin; Umar Wirantasa; Wisdariah Wisdariah; Gerie Munggaran; V.H Valentino
Venus: Jurnal Publikasi Rumpun Ilmu Teknik  Vol. 3 No. 2 (2025): Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/venus.v3i2.806

Abstract

Handling natural disaster victims requires a fast, precise, and fair aid distribution process. In this context, expert systems can be utilized as a decision-making tool in determining the type and amount of aid that should be given to victims. This article develops a desktop-based expert system using the Java programming language, which is able to calculate the type of aid based on the condition of the victim, the level of damage, and the number of affected family members. The method used is a rule-based expert system with if-then logic. The results show that this system can assist field officers in accelerating the calculation and distribution of aid.
Implementasi Metode Simple Additive Weighting pada Sistem Pendukung Keputusan Penilaian Kinerja Pegawai di Puslitbang Polri Muhamad Fakhri; Senna Hendrian; Siti Khotijah
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 3 No. 1 (2024): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v3i1.2652

Abstract

The National Police Research and Development Center (Puslitbang Polri) is a police institution that operates in the field of research, especially those related to the performance of police and community organizations. Supporting elements in the fields of research, study, implementation and development at the National Police Headquarters level which is under the National Police Chief. In the development process, competent and always motivated Human Resources (HR) are needed, one solution is to create a computerized system to increase employee motivation, namely the best employee assessment decision support system. The process of evaluating the best employees at the National Police Research and Development Center is still carried out conventionally so it is less objective and effective. To overcome this problem, a good system is needed. The aim of this research is to make an assessment of the best employees at the National Police Research and Development Center, because there is no system that can help the Head of the National Police Research and Development Center and the Head of the Human Resources Subdivision to determine the best employee assessment. This research aims to find out the best employees using data from 8 employees at the National Police Research and Development Center. The method used is Simple Addtive Weighting (SAW) with 4 attributes. The results of the research were that 1 was selected as the best employee and received a salary bonus.
Implementasi Klasifikasi Datamining dengan Algoritma C4.5 untuk Rekomendasi Pemilihan Fakultas Perguruan Tinggi Berdasarkan Minat dan Bakat Siswa SMK Senna Hendrian; V.H Valentino; Wisdariah, Wisdariah; Riezca Talita Trista; Dudi Parulian
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 4 (2025): November : Neptunus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v3i4.1159

Abstract

Selecting a faculty that aligns with students’ interests and talents is a strategic step in determining the success of higher education and future career paths. However, most vocational high school (SMK) students still face difficulties in identifying the most suitable faculty due to the lack of data-driven analysis. This study implements the C4.5 classification algorithm within data mining techniques to build an automatic and measurable faculty recommendation system. The dataset consists of attributes such as SMK major, interest level, aptitude test results, academic grade average, and gender, with the output being the recommended faculty. The C4.5 algorithm was chosen for its ability to generate a transparent and interpretable decision tree, which helps both guidance counselors and students understand the rationale behind the recommendations. The experimental results show that the constructed classification model achieved an accuracy rate of 88%, based on cross-validation testing using data from 12th-grade students. The implementation of this system is expected to serve as an objective tool in the faculty selection process and to promote a data-driven decision-making approach in secondary education environments.
Membangun dan Mengelola Web sebagai Pengetahuan Teknologi Informasi Guru SMP Bina Bangsa Mandiri Cikeas Kabupaten Bogor Senna Hendrian; Ambar Tri Hapsari; Een Juhriah; Dewi Leyla Rahmah; Riezca Talita Trista
Pemberdayaan Masyarakat : Jurnal Aksi Sosial Vol. 2 No. 4 (2025): Desember: Pemberdayaan Masyarakat : Jurnal Aksi Sosial
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/aksisosial.v2i4.2492

Abstract

The rapid advancement of information technology requires teachers to possess adequate digital skills and understanding to support the learning process. A website serves as an essential digital medium that can be utilized for providing information, learning materials, activity documentation, and facilitating communication among teachers, students, and the school. This study aims to develop and manage a school website as a means to enhance information technology knowledge for teachers at SMP Bina Bangsa Mandiri Cikeas, Bogor Regency. The research employed a system development approach, including needs analysis, design, implementation, and evaluation of website usage by teachers. The results indicate that the developed website provides ease of access in managing school information, preparing digital learning content, and improving teachers’ digital literacy. Moreover, the website serves as a collaborative platform that supports teachers in sharing materials and teaching innovations. Therefore, developing and managing a website effectively contributes to enhancing information technology competence among junior high school teachers.
Co-Authors Ade Kurnia Solihin Ambar Tri Hapsari DEWI LEYLA RAHMAH Dudi Parulian Een Juhriah Galuh Krisna Dewanti Gerie Munggaran Muhamad Fakhri Muhammad Tri Habibie Riezca Talita Trista Siti Khotijah Umar Wirantasa V.H Valentino Wisdariah Wisdariah Wisdariah, Wisdariah