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All Journal SMATIKA Sistemasi: Jurnal Sistem Informasi Journal of System and Computer Engineering Syntax: Journal of Software Engineering, Computer Science and Information Technology Jurnal Teknologi dan Manajemen Prosiding Konferensi Nasional PKM-CSR Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Ilmiah Edutic : Pendidikan dan Informatika The Journal of System Engineering and Technological Innovation Jurnal Pengabdian Masyarakat dan Inovasi Teknologi Jurnal Sistem Informasi dan Bisnis Cerdas Jurnal Pengabdian Tri Bhakti Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Muhandhis, Isnaini
Universitas Wijaya Putra
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Public Health Social Sciences Other

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Journal : The Journal of System Engineering and Technological Innovation

 1 
Rancang Bangun Sistem Penyusunan Jadwal Pelajaran Menggunakan Algoritma Genetika Berbasis Web (study Kasus MI Mahalul Ulum) Rudianto, Agus; Muhandhis, Isnaini
Journal of System Engineering and Technological Innovation Vol 1 No 01 (2022): April 2022
Publisher : Faculty of Engineering, Wijaya Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (120.552 KB) | DOI: 10.38156/jisti.v1i01.14

Abstract

Scheduling subjects is the most important administrative activity carried out at the beginning of the semester in the academic year, making the schedule of subjects is not very easy many aspects that affect and have to be calculated, this can be an obstacle for the schedule maker and causes the making of the schedule to be a rather long process because a conflicting teacher. To overcome this problem, a web-based scheduling system was built using the algorithm method, with the limits determined, this algorithm is expected to be able to solve this problem well without any teacher schedule constraints that clash with other schedules. By collecting data through observation and interviews with the principal, then the data obtained by using the genetic algorithm approach to the formulation of the algorithm can also produce a pretty good schedule and can divide the teaching hours of certification teachers and ordinary teachers as well. Approach with Genetic Algorithm in solving the problem of scheduling subjects can be successfully applied with a good combination. The Scheduling System can divide JTM well so that the teaching hours supported by certification teachers have exceeded more than 24 JTM in one week.
Sistem Pendukung Keputusan Penentuan Siswa Bermasalah Menggunakan Metode Simple Additive Weighting (SAW) Pada Mts Ath-Thohiriyah Muhandhis, Isnaini; Widhiyanta, Nurwahyudi; Aldo Ferdianto, Ananda
Journal of System Engineering and Technological Innovation Vol 1 No 02 (2022): Oktober 2022
Publisher : Faculty of Engineering, Wijaya Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (457.473 KB) | DOI: 10.38156/jisti.v1i02.26

Abstract

Guidance and counseling have a big role in helping students in schools achieve the goals of holding education. At MTs Ath-Thohiriyah, the counseling teacher recorded the condition of the students manually, using paper media as recording and storing data. With these data, the teacher still has difficulty in determining the condition of each student because there is no definite assessment that the student needs guidance or not. Based on this problem, this study aims to create a decision support system that is expected to be able to help provide information and references to determine priorities for determining problematic students. The method used to determine the ranking of problematic students is Simple Additive Weighting (SAW). The results of this study, the SAW method can be used to determine problematic students at MTs Ath-Thohiriyah with four criteria including knowledge, skills, social and spiritual. The application made in this study is able to help BK teachers in registering students at school and determining students who need guidance
Rancang Bangun Sistem Manajemen Gudang di PT XYZ Muhandhis, Isnaini; Harianto Putra, Ahan Budiarta; Wibisono, Dwi Setyo; Ritonga, Alven Safik
Journal of System Engineering and Technological Innovation Vol 2 No 02 (2023): Oktober 2023
Publisher : Faculty of Engineering, Wijaya Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38156/jisti.v2i02.58

Abstract

The warehouse is one of the most important parts of a company. Ineffective warehousing processes can disrupt warehouse operations. Recording warehouse transactions that are done manually will require checking one by one on the hardcopy form that has been stored. Therefore, this internship program aims to improve the performance of warehousing operations at PT XYZ. The method used in the analysis is data collection and application system design using the prototype method. The data is taken based on the results of interviews and observations in the warehouse. This activity creates a web-based warehouse management system application to help control incoming and outgoing inventory. The system built makes it easy for administrators to see the number of items made for each event. The results of black box testing show that the application has 100% functionality. The test results illustrate that the application functions properly according to user needs and has been accepted by PT XYZ
Penerapan Algoritma Apriori Untuk Rekomendasi Produk Pada Situs Penjualan Toko ABC Muhandhis, Isnaini; Ramadhani, Muhammad Zulfan
Journal of System Engineering and Technological Innovation Vol 3 No 02 (2024): Oktober 2024
Publisher : Faculty of Engineering, Wijaya Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38156/jisti.v3i02.102

Abstract

Penelitian ini bertujuan untuk memberi fitur rekomendasi produk menggunakan algoritma apriori pada situs penjualan Toko ABC. Manfaat dari fitur rekomendasi adalah untuk memberikan saran produk kepada pembeli berdasarkan produk yang sering dibeli oleh pembeli lain. Metode yang digunakan adalah algoritma apriori. Algoritma Apriori dipilih karena kemampuannya yang terbukti efektif dalam mengidentifikasi pola pembelian pada data transaksi yang besar. Hasil implementasi algoritma apriori dalam penelitian ini menghasilkan nilai 25% support untuk tiga item set dari pembelian produk. Berdasarkan perhitungan algoritma apriori, produk yang saling terkait adalah Kopiko Coffe Caramel, Kusuka Keripik Singkong Ayam Seaweed, Sari Roti Roti Tawar Double Soft dengan nilai support 25%. Penerapan ini dapat memberikan informasi agar strategi penjualan menjadi lebih terarah dengan menargetkan produk yang tepat kepada pelanggan yang tepat.
Co-Authors Aldo Ferdianto, Ananda Alven S Ritonga Alven S. Ritonga Alven Safik Ritonga Angga Pradana Setiawan Arkila Rakasyah Chendrasari Wahyu Oktavia Dewanto Dewanto Fernando, Ferdianus Harianto Putra, Ahan Budiarta HERU SISWANTO Hisyam Ib Dani Ishaq A.M. Krisnadhi Hariyanto, Krisnadhi M Shubhan M. Harist Murdani Mamik Usniyah Sari Mubarokah, Solton Muhammad Harist Murdani Muhammad Shubhan Ni'matul Ichsan, Muchammad Ragil Oktavia, Chendrasari Ong Andre Wahyu Riyanto, Ong Andre Wahyu Prasetio, Vio Jhondan Rahman, Taufik Nur Ramadhani, Muhammad Zulfan Reyhan Rizqi, Muhammad Rofiah, Ika Aliyatur R. Rudianto, Agus S. Riyadi Sari, Mamik Usniyah SETYAWAN, BAGUS subaderi, subaderi Suryo Atmojo, Suryo Suzana Dewi Usniyah sari, Mamik Wibisono, Dwi Setyo Widhiyanta, Nurwahyudi Wijaya, Nicholas