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All Journal Jurnal Teknologi Elektro JUMANJI (Jurnal Masyarakat Informatika Unjani) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi)
Tacbir Hendro Pudjiantoro
Universitas Jenderal Achmad Yani
Computer Science & IT Electrical & Electronics Engineering

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SISTEM PENILAIAN KINERJA DOSEN TELADAN MENGGUNAKAN METODE SIMPLE MULTY ATTRIBUTE RATING TECHNIQUE (SMART) Yeni Purnamasari; Tacbir Hendro Pudjiantoro; Dian Nursantika
Jurnal Teknologi Elektro Vol 8, No 1 (2017)
Publisher : Electrical Engineering, Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (409.789 KB) | DOI: 10.22441/jte.v8i1.1372

Abstract

Pemilihan dosen teladan dilakukan dengan cara memilih alternatif dosen yang memenuhi syarat berdasarkan kriteria yang sudah ditentukan. Dalam pemilihan dosen teladan selama ini masih dilakukan secara manual, sehingga terkadang dalam pengambilan keputusan tidak tepat sasaran karena banyaknya kriteria yang harus dihitung serta tidak jelasnya pembobotan nilai sehingga penilaian menjadi tidak objektif. Kriteria yang digunakan pada penelitian ini adalah data pengalaman atau masa kerja, Bimbingan dan Konsultasi, Jenjang Pendidikan dan Jabatan Fungsional, Penelitian dan Pengabdian Masyarakat, Kehadiran, Disiplin, Usia, Pengalaman atau Masa Kerja, Nilai Prestasi Kerja, Tugas lain-lain diluar tugas utama.Penelitian ini menggunakan metode SMART (Simple Multi Attribute Rating Technique), karena metode ini mampu menyelesaikan masalah dengan multikriteria. Pada system ini menggunakan PHP dan MySQL. Bedasarkan perhitungan dari data penilaian yang telah diuji metode SMART mampu memberikan rekomendasi yang tepat dan sesuai serta dapat membantu dalam penilaian pemilihan dosen teladan.
Klasterisasi Outlet Berdasarkan Data Penjualan Dengan Menggunakan Algoritma K-Medoids Sri Mulyani Azhari; Tacbir Hendro Pudjiantoro; Irma Santikarama
JUMANJI (Jurnal Masyarakat Informatika Unjani) Vol 5 No 2 (2021): Jurnal Masyarakat Informatika Unjani
Publisher : Jurusan Informatika Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jumanji.v5i2.93

Abstract

Data mining kini digunakan diberbagai bidang termasuk bisnis. Data mining memiliki beberapa teknik, salah satunya yang populer yaitu teknik Clustering. Ketersediaan data yang melimpah, kebutuhan akan ketersediaan informasi (atau pengetahuan) sebagai acuan bagi pelaku bisnis dalam proses pengambilan keputusan untuk membuat solusi bisnis merupakan cikal-bakal dari lahirnya teknologi data mining. PT. Gondowangi salah satu bisnis yang memiliki ketersediaan data yang melimpah, menghasilkan data penjualan dari setiap outlet yang beragam sehingga pendistribusian produk dan penentuan strategi penjualan. Analisis terhadap data penjualan dengan jumlah yang besar dan data yang beragam tidak efektif dan efisien. Proses analisis data yang dilakukan manual memerlukan waktu yang lama, sehingga ketersediaan informasi atau pengetahuan mendalam dari data penjualan sulit ditemukan. Penelitian ini mengarah pada penggunaan teknik clustering dengan algoritma K-Medoids untuk mengeksplorasi data guna mendapatkan pengelompokan outlet berdasarkan data penjualan. Penggunaan teknik clustering dengan algoritma K-Medoids mampu menunjukan pengelompokan terhadap data penjualan yang menghasilkan pengelompokan outlet. Hasil pengujian pada hasil clustering dengan beberapa nilai K didapatkan jumlah K=3 memiliki nilai silhoutte Coefficient yang paling tinggi dan mendekasi Si = 1 yaitu dengan nilai 0,92669616303752 yang merupakan struktur kuat.
Sistem Rekomendasi Bantuan Rutilahu Kabupaten Sumedang Menggunakan Metode Multi Attribute Utility Theory Tacbir Hendro Pudjiantoro; Syarifudin Yoga Pinasty; Fajri Rakhmat Umbara
Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.956 KB)

Abstract

The house is a place to live and shelter for humans as well as a place for daily activities and in Sumedang Regency there are still many houses that are categorized as uninhabitable house, because there are still people who are categorized as having uninhabitable houses, the government routinely provides assistance and due to limited funds owned by the Government as well as many people who submit requests for assistance,but the Government cannot provide assistance at the same time to all people who submit. The applicant for assistance must wait if not yet selected to get help, to get help, a selection of aid opinions must be made to make it right on target. Decision making related to the determination of the community who will receive assistance first, it will be carried out the construction of a system that aims to support a decision in the sense of a decision support system instead of replacing humans as decision makers in providing uninhabitable housing assistance, but can provide a picture or more knowledge towards humans for decision making,where the system development will be used by the Dinas Sosial Sumedang and using the Multi Attribute Utility Theory (MAUT) method and for this method that is calculating the normalization and weight that will be multiplied by the components needed so that the final result is a ranking order from the evaluation results.
Prediksi Perguruan Tinggi Negeri dengan Menggunakan Metode Naive Bayes Rahmania Aulia Ikrimah Putri; Tacbir Hendro Pudjiantoro
Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (820.9 KB)

Abstract

Achievement is the learning outcomes obtained by someone where the ability to increase over time, achievement is not caused by the growth process but with the learning situation. The ability to master knowledge that has been tested for certainty and truth so that it can be measured in the form of grades or what is usually referred to as academic achievement. At least XYZ School students are accepted into state universities. By using the Naive Bayes method, the prediction results are accurate enough to facilitate the Counseling Guidance Section (BK) directing students to register for State Universities (PTN) through the National Higher Education Entrance Entrance Test (SNMPTN).
Sistem Rekomendasi Tempat Kuliner Di Kabupaten Xyz Menggunakan Metode Multy-Objective Optimization By Ratio Analysis Kundika whicak; Tacbir Hendro Pudjiantoro; Puspita Nurul Sabrina
Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (359.633 KB)

Abstract

Culinary Tourism is one of the activities that must be visited by tourists when visiting a certain area that has special food. Food is now not just meeting the needs of one's life but has become an art in culinary. Some people have a tendency to visit homogeneous eating places (not varying), this can be caused by several things, including budget (shopping budget), type of food, facilities, location and opening time. Visiting a suitable place to eat is certainly one of the things that need attention, but information about the complete culinary place is still not widely known by tourists and new residents in the regency of XYZ. To determine a culinary place, tourists must really know complete information about a culinary place that they want to visit to suit their wants and needs. By having to make a decision made by tourists to determine the culinary places that will be visited then the construction of a system that aims to support a decision that determines where culinary in accordance with one's wishes in XYZ Regency. The system development will use the method of Multy-Objective Optimization by Ratio Analysis (Moora) and the approach
Sistem Penanganan Keluhan Pelanggan Di Hotel Xyz Menggunakan Metode Case Based Reasoning (CBR) Rayzha Raka Putra; Tacbir Hendro Pudjiantoro; Ade Kania Ningsih
Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (275.664 KB)

Abstract

Xyz Hotels is a five star hotel which is a development of a leading hospitality company, Xyz Worldwide. In the service industry like this hotel, one of the factors that influences the level of customer satisfaction at a hotel is the right and fast service in serving complaints of hotel guests. Services at the hotel that are carried out every day require employees to be careful in making improvements to services. The problem that occurs is sometimes hotel employees have not mastered the ability in their fields. Hotel employees should receive training before mastering their respective abilities, the reason is that time is always not available to carry out training, because hotels are always full and crowded every day and have trouble finding time for training, so employees, especially new employees are difficult to serve complaints against hotel guests. Based on these problems, the implementation of Case Based Reasoning (CBR) can be carried out in various fields, one of which is in the service sector to share knowledge and experience from experienced employees to new employees, in order to improve service handling complaints of hotel guests. Using the Case Based Reasoning (CBR) method through four stages, namely retrieve, reuse, revise, and retain. With the aim to solve new problems by adopting the solutions found in previous cases by having problems that are almost the same as the new cases.
Sistem Informasi Manajemen Aset Pada PT.XYZ Menggunakan Metode Garis Lurus Dini Eka Pratiwi; Tacbir Hendro Pudjiantoro
Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (943.533 KB)

Abstract

XYZ is engaged in trade and services. The process of recording asset planning data planning and submission is not well recorded in one document, this causes frequent data mismatches, the process of asset maintenance is not recorded properly so that it does not know what assets have been maintained and when making depreciation calculations often experience errors in calculating depreciation costs caused by errors in determining the acquisition cost or errors in estimating the economic life that can cause company profits to be smaller, with the existence of asset management at PT. XYZ can help the problems that exist in the company. The output of this research is expected to produce a system that can help companies in asset data management, asset planning, asset filing, asset maintenance and asset depreciation using the straight line method.
Implementasi Frequent Pattern Growth untuk Melihat Trend dari Penjualan Tisu di PT XYZ Bima Wahyu Utama; Tacbir Hendro Pudjiantoro
Prosiding SISFOTEK Vol 4 No 1 (2020): Vol 4 No 1 (2020): SISFOTEK 2020
Publisher : Ikatan Ahli Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (761.194 KB)

Abstract

Prediction is a technology that learns from experience (data) to predict individual behavior in the future to encourage better decisions. Prediction is different from forecasting, forecasting makes aggregate predictions at the macroscopic level. Tissue is a practical cleaning tool for use and multifunctionality, so that tissue is commonly found and used by the public, tissue is used for travel equipment, complement the dining table, and cleaning tools stored in modern toilets. The sale of tissue, which sometimes cannot be fulfilled, makes some customers stop buying tissue from the company. The use of Frequent Pattern Growth algorithm or FP-Tree which is a development of apriori algorithm is one alternative algorithm to determine the set of data that often appears. The use of the Frequent Pattern Growth method for the case of tissue sales predictions gets fairly accurate results and can make it easier for related sections to see tissue demand trends in a country calculated based on tissue trends in the previous month.
Co-Authors Ade Kania Ningsih Bima Wahyu Utama Dian Nursantika Dini Eka Pratiwi Fajri Rakhmat Umbara Irma Santikarama Kundika whicak Puspita Nurul Sabrina Rahmania Aulia Ikrimah Putri Rayzha Raka Putra Sri Mulyani Azhari Syarifudin Yoga Pinasty Yeni Purnamasari