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Penerapan Algoritma Asosiasi dengan Metode Apriori Untuk Strategi Meningkatkan Hasil Penjualan Spare Part Motor Entin Sutinah; Nani Agustina
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4778

Sales transactions in everyday life are very common, but in the sales business you must have a strategy to increase sales results optimally. This research was conducted on PD. Tri Jaya Motor, where this trading company is engaged in trading motorcycle spare parts for all types of motorcycles, both Honda, Yamaha, Kawasaki and so on. Currently PD. Tri Jaya Motor wants to make a strategy to increase sales results, but the problem is that PD. Tri Jaya Motor still doesn't get the right and effective way, one of which is in the preparation of goods that still don't have the right placement pattern, so the items that should be close together, but this stored far apart, to solve these problems a method is needed, therefore the method used in this study is the association algorithm with the a priori method to analyze motorcycle spare part sales transaction data, which in this study takes motorcycle spare part sales transaction data in one year. The purpose of this study is to find out which items are purchased by consumers simultaneously so that from this information it can be used to make sales strategies, one of which is by arranging items that are close to the items purchased by consumers simultaneously. The results of this study show that when buying a kilometer cable, 86% will buy a brake cable with a support value of 30% and 70% confidence. By knowing the products that are purchased a lot and the interrelationships between goods with one another, so the company can develop a strategy by increasing the inventory of these goods for PD. Tri Jaya Motor.

Metode Profile Matching Dalam Mendukung Keputusan Perpanjangan Asisten Dosen Martini; Nani Agustina; Entin Sutinah
Journal of Students‘ Research in Computer Science Vol. 3 No. 2 (2022): November 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jsrcs.v3i2.1779

Lecturer assistants are apprentice students whose job is to assist lecturers in teaching and learning activities in class. There are 10 students who are doing internships as teaching assistants. At the end of each semester the Training Division in a university conducts an evaluation of the assessment of students who are apprentices as teaching assistants. However, currently the training department has not yet found the right method for making decisions to determine teaching assistants who deserve to be extended for internships in the following semester. Currently, decision making is based on an assessment of the ability to explain the material when the lecturer concerned is unable to attend, although there are still many assessment criteria that can be considered in decision making. To solve this problem, this study adopts a method in making decisions on the extension of teaching assistants by using the Profile Matching method which includes several assessment criteria including attendance, neatness of dress, loyalty, work performance, responsibility, obedience, honesty, cooperation, initiative and leadership. From this criterion, it will be included in the Core Factor and Secondary Factor with the criteria of very good, good, pretty good, not good and very bad scores, so that in this research a decision was made to extend teaching assistants in the following semester, namely by choosing 4 teaching assistants who each has the following assessment results: AST9 with a value of 4.9, AST10 with a value of 4.8, AST1 with a value of 4.4 and AST8 with a value of 4.4. Keywords: Assistant Performance, Decision, Matching Profile Abstrak Asisten dosen merupakan mahasiswa magang yang tugasnya membantu dosen dalam kegiatan belajar mengajar di kelas. Terdapat 10 orang mahasiswa yang sedang magang menjadi asisten dosen. Pada setiap akhir semester bagian pelatihan yang terdapat dalam suatu Universitas mengadakan evaluasi penilaian terhadap mahasiswa yang magang sebagai asisten dosen. Namun saat ini bagian pelatihan masih belum menemukan metode yang tepat dalam melakukan pengambilan keputusan untuk menentukan asisten dosen yang layak diperpanjang untuk magang di semester berikutnya. Saat ini pengambilan keputusan berdasarkan penilaian dari kemampuan menjelaskan materi pada saat dosen yang bersangkutan berhalangan hadir, walaupun masih banyak kriteria penilaian yang dapat menjadi pertimbangan dalam pengambilan keputusan. Untuk memecahkan masalah tersebut, penelitian ini mengambil metode dalam pengambilan keputusan perpanjangan asisten dosen dengan menggunakan metode Profile Matching yang meliputi beberapa kriteria penilaian diantaranya Absensi, Kerapihan berpakaian, Kesetiaan, Prestasi Kerja, Tanggung Jawab, Ketaatan, Kejujuran, Kerjasama, bPrakarsa dan Kepemimpinan. Dari kriteria ini akan dimasukkan ke dalam Core Factor dan Secondary Factor dengan keriteria nilai sangat baik, baik, cukup baik, kurang baik dan sangat kurang baik, sehingga dalam penelitam ini dihasilkan sebuah keputusan perpanjangan asisten dosen di semester berikutnya yaitu dengan memilih empat asisten dosen yang masing-masing memiliki hasil penilaian sebagai berikut: AST9 dengan nilai 4,9, AST10 dengan nilai 4,8, AST1 dengan nilai 4,4 dan AST8 dengan nilai 4,4. Kata Kunci: Keputusan, Kinerja Asisten, Profile Matching

RANCANG BANGUN SISTEM INFORMASI PENGGAJIAN PADA BUILDING MANAGEMENTAPARTEMENT GRAND CENTERPOINT BEKASI Nisa Liama; Yulia Nur Rachmawati; Nani Agustina
Jupiter: Journal of Computer & Information Technology Vol 4, No 1 (2023): JUPITER: Journal of Computer, Information & Technology
Publisher : Institut Bisnis Muhammadiyah Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53990/cist.v4i1.254

Payroll is very meaningful for companies or agencies so we need a system that facilitates payroll activities. Apartment Grand Centerpoint operates in the service sector in the form of flats, experiencing problems in processing employee attendance data due to the processing of attendance book data as a manual system, resulting in operational errors and irregularities in calculating and paying salaries. This research was conducted with the aim of designing a payroll system to facilitate accounting & finance in payroll in companies with system features such as managing attendance data, managing employee data along with their positions, managing payroll data, managing payroll report data, journal reports, and employee payslips.

Penerapan Metode Saving Matrix Dalam Optimasi Rute Perjalanan Kunjungan Mitra Sekolah Untuk Peningkatan Strategi Marketing Kampus Nani Agustina; Martini Martini; Entin Sutinah
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.5955

Bina Sarana Informatika University has a lot of campuses, one of which is in the Jatiwaringin area. In marketing activities, UBSI has a team called Markom. One of the success factors of UBSI's marketing is determined by visits to high schools around the UBSI Jatiwaringin campus, where this activity is carried out as a form of cooperation between UBSI and the school in carrying out promotions for campus events whose target is class XII students. In carrying out campus marketing activities, UBSI Jatiwaringin has 15 target schools around the campus. In carrying out the visit, Markom had problems in determining which schools to visit first, because in carrying out campus marketing activities, Markom only provided time with a duration of 08:00-12:00 by making visits starting from the UBSI Jatiwaringin campus and returned to the UBSI Jatiwaringin campus. So it is necessary to have an optimal route pattern to determine the minimum route in the school visit process. To overcome these problems need to apply a method. In this study the Saving Matrix method was used to determine the path and distance of visits to schools with optimal visiting times. The data obtained is in the form of school names, distances, and travel routes from UBSI Jatiwarigin to the schools to be visited. From the results of data processing, it was obtained that the visit time was 6 days with 6 routes with a travel time of 233 minutes which previously did not have rules for using routes but only based on estimates and urgency which sometimes took 8 days. The results of this study indicate that by using the Saving Matrix method the time needed is more optimal because the steps taken are appropriate in solving travel route problems and easy to implement.

Implementasi Teknologi IoT pada Smart Farming dalam Memonitoring Tanaman Hidroponik Berbasis Android Rian Septian Anwar; Nani Agustina; Entin Sutinah
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jsrcs.v4i1.2167

Currently the cultivation of plants by means of hydroponics is partly a hobby and some are a necessity. The cultivation of hydroponic plants requires a touch of technology such as the Internet of Things (IoT). This technology is very important in order to get crop yields that have good quality and quantity. The Riyadusalihin Islamic Boarding School currently implements plant cultivation by applying hydroponics, because the activities at the Islamic boarding school are quite dense so that in farming they rely on estimates to regulate the temperature and humidity of the air resulting in failure in hydroponic farming such as vegetables not growing well, lack of quality of the plants vegetables and many vegetables wither and eventually die. The purpose of using IoT in smart farming is one of them in the cultivation of vegetable plants so that they can monitor plants without disturbing the activities of the students and can be controlled remotely so that they can condition or stabilize the temperature and humidity of the air in plants. In this study applying IoT technology using the Blynk application, where this application is one of the advances in information technology which is quite popular among smart phone users because the user interface is quite simple, many features are presented by Blynk and easy to access, with the operating system controlled. with Arduino Nano via ESP 8266 and temperature sensor DS18b20 so that monitoring of plants can be done easily and the plants will grow well by having good quality and quantity and the students can get good nutrition which can be obtained from foods such as these vegetables. Keywords: Android, Hydroponics, IoT, Smart Farming Abstrak Saat ini budidaya tanaman dengan cara hidroponik sebagian menjadi hobi dan ada juga yang menjadi kebutuhan. Dalam budidaya tanaman hidroponik dibutuhkan sentuhan teknologi seperti Internet of Things (IoT). Teknologi ini sangat penting agar mendapatkan hasil tanaman yang memiliki kualitas dan kuantitas yang baik. Pesantren Riyadusalihin saat ini menerapkan budidaya tanaman dengan menerapkan hidroponik, karena kegiatan di pesantren cukup padat sehingga dalam melakukan bercocok tanam dengan mengandalkan perkiraan saja untuk mengatur suhu dan kelembaban udara sehingga mengalami kegagalan dalam bercocok tanam hidroponik seperti sayuran kurang tumbuh dengan baik, kurangnya kualitas dari tanaman sayur serta banyak sayuran yang layu dan akhirnya mati. Tujuan penggunaan IoT pada smart farming ini salah satunya pada budidaya tanaman sayur agar dapat memonitoring tanaman dengan tidak mengganggu aktifitas para santri dan dapat dikendalikan melalui jarak jauh sehingga dapat mengkondisikan atau menstabilkan suhu dan kelembaban udara pada tanaman. Pada penelitian ini menerapkan teknologi IoT dengan menggunakan Aplikasi Blynk, dimana aplikasi ini merupakan salah satu kemajuan teknologi informasi yang cukup populer di kalangan pengguna smart phone karena user interface yang cukup sederhana, banyak fitur yang disajikan oleh Blynk dan mudah di akses, dengan sistem pengoperasiannya dikendalikan dengan Arduino Nano melalui ESP 8266 dan sensor suhu DS18b20 sehingga memonitoring tanaman dapat dilakukan dengan mudah dan tanaman akan tumbuh dengan baik dengan memiliki kualitas serta kuantitas yang baik dan para santri bisa memperoleh gizi yang baik bisa didapat dari makanan seperti sayuran tersebut. Kata kunci: Android, Hidroponik, IoT, Smart Farming

Metode Profile Matching Dalam Mendukung Keputusan Perpanjangan Asisten Dosen Martini , Martini; Agustina , Nani; Sutinah , Entin
Journal of Students‘ Research in Computer Science Vol. 3 No. 2 (2022): November 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/2xhq7861

Lecturer assistants are apprentice students whose job is to assist lecturers in teaching and learning activities in class. There are 10 students who are doing internships as teaching assistants. At the end of each semester the Training Division in a university conducts an evaluation of the assessment of students who are apprentices as teaching assistants. However, currently the training department has not yet found the right method for making decisions to determine teaching assistants who deserve to be extended for internships in the following semester. Currently, decision making is based on an assessment of the ability to explain the material when the lecturer concerned is unable to attend, although there are still many assessment criteria that can be considered in decision making. To solve this problem, this study adopts a method in making decisions on the extension of teaching assistants by using the Profile Matching method which includes several assessment criteria including attendance, neatness of dress, loyalty, work performance, responsibility, obedience, honesty, cooperation, initiative and leadership. From this criterion, it will be included in the Core Factor and Secondary Factor with the criteria of very good, good, pretty good, not good and very bad scores, so that in this research a decision was made to extend teaching assistants in the following semester, namely by choosing 4 teaching assistants who each has the following assessment results: AST9 with a value of 4.9, AST10 with a value of 4.8, AST1 with a value of 4.4 and AST8 with a value of 4.4.

Internet of Things Smart Farming untuk Monitoring Tanaman Hidroponik Anwar , Rian Septian; Agustina , Nani; Sutinah, Entin
Journal of Students‘ Research in Computer Science Vol. 4 No. 1 (2023): Mei 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/1p701960

Currently the cultivation of plants by means of hydroponics is partly a hobby and some are a necessity. The cultivation of hydroponic plants requires a touch of technology such as the Internet of Things (IoT). This technology is very important in order to get crop yields that have good quality and quantity. The Riyadusalihin Islamic Boarding School currently implements plant cultivation by applying hydroponics, because the activities at the Islamic boarding school are quite dense so that in farming they rely on estimates to regulate the temperature and humidity of the air resulting in failure in hydroponic farming such as vegetables not growing well, lack of quality of the plants vegetables and many vegetables wither and eventually die. The purpose of using IoT in smart farming is one of them in the cultivation of vegetable plants so that they can monitor plants without disturbing the activities of the students and can be controlled remotely so that they can condition or stabilize the temperature and humidity of the air in plants. In this study applying IoT technology using the Blynk application, where this application is one of the advances in information technology which is quite popular among smart phone users because the user interface is quite simple, many features are presented by Blynk and easy to access, with the operating system controlled. with Arduino Nano via ESP 8266 and temperature sensor DS18b20 so that monitoring of plants can be done easily and the plants will grow well by having good quality and quantity and the students can get good nutrition which can be obtained from foods such as these vegetables.

Metode Profile Matching Dalam Sistem Pendukung Keputusan Pemilihan Pegawai Terbaik Imaduddin , Encep Fahmi; Sutinah , Entin; Agustina , Nani
Journal of Students‘ Research in Computer Science Vol. 4 No. 2 (2023): November 2023
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/gfccm491

Tri Jaya Mart has implemented a best employee selection system to motivate its employees to have a better career path. However, the selection of employees currently only looks at one employee with the highest attendance rate every month and if there is the same then it is chosen subjectively. Selection in this way, researchers feel less effective because it only uses one criterion by not paying attention to other supporting criteria and often more than one best employee candidate is obtained. As well as conflicts between employees due to injustice during promotion. The purpose of this research is to find out the best employee selection process that is currently running where currently out of five employees who work at Tri Jaya Mart, in the process of selecting the best employee, implementing the profile matching method in making a decision so as to provide alternative problem solving in choosing the best employee to be promoted to store manager. In this study using three criteria, namely aspects of work attitude, personality aspects and intelligence aspects. From several steps that have been applied using the profile matching method, the results obtained are the right decision and as expected for stakeholders in choosing the best employee in the order of employee two, employee four, employee one, employee three and employee five.

PENERIMAAN TEKNOLOGI PENGGUNA TERHADAP SISTEM INFORMASI SIMPAN PINJAM DENGAN METODE TECHNOLOGY ACCEPTACE MODEL Agustina, Nani
Jurnal Pilar Nusa Mandiri Vol 11 No 2 (2015): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1149.901 KB)

Sistem informasi simpan pinjam adalah suatu sistem alat teknik yang digunakan untuk menyampaikan informasi yang berkaitan dengan lingkup kegiatan yang ada pada koperasi. Kendala-kendala yang dihadapi selama ini data-data yang tidak tersusun dengan rapih, pencarian data yang cukup lama, proses pendaftaran anggota yang membutuhkan waktu lama dan proses kegiatan simpan pinjam yang sering terjadi kesalahan. Permasalahan yang terkait dengan di atas diharapkan dapat menjawab pertanyaan di atas adalah dengan membuat sistem informasi koperasi. Penelitian ini dilakukan dengan melakukan survey ke koperasi untuk mengetahui kegiatan dan masalah yang ada. Penelitian ini menggunakan Technology Acceptance Model (TAM). Penggunaan model TAM didasarkan kenyataan bahwa sejauh ini TAM merupakan sebuah konsep yang dianggap paling baik dalam menjelaskan perilaku user terhadap teknologi informasi baru. Populasi dalam penelitian ini adalah petugas koperasi dan anggota koperasi. Analisa dilakukan dengan SEM (Structural Equation Modelling) dengan software AMOS (Analysis of Moment Structures) versi 6.0. Hasil penelitian ini menunjukan bahwa variabel laten Perperceived Easy Of Use (PEOU) berpengaruh terhadap variabel Intention To Use (ITU). Variabel Intention To Use(ITU) berpengaruh terhadap variabel Attitude Toward Using (ATU) dan variabel Attitude Toward Using (ATU) mempengaruhi Actual Usage Behavior(AUB). Sehingga niat untuk menggunakan sistem informasi simpan pinjam koperasi dipengaruhi oleh kegunaan dari sistem tersebut, dan manfaat adanya sistem informasi itu adalah mudahnya pengoperasian sistem tersebut.

Kolaborasi Metode Naive Bayes dan MPE dalam Pengambilan Keputusan Pemilihan Supplier Ban Motor Agustina, Nani; Sutinah, Entin; Martini, Martini
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7538

Almayra Jaya Ban is a company operating in the trading business sector which faces complexity in managing various products originating from several different suppliers. The main problem faced by this company is the difficulty in processing different supplier data for optimal evaluation in terms of supplier potential, quality of goods, and availability of goods from various suppliers. Supplier selection is an important decision that can affect operational performance and profits for the company. To increase accuracy and objectivity in decision making, this research uses collaboration between the Naive Bayes Method and the Exponential Comparison Method (MPE). Through experiments and sensitivity analysis, the results show that the integration of these two methods produces more stable and reliable decisions. Validation is carried out using historical data and trials to ensure accuracy. So by collaborating between the Naive Bayes Method and MPE it can be an effective approach in the decision making system for selecting motorbike tire suppliers, by providing more accurate, objective and accountable decisions for this company. The results of this research obtained a decision in selecting suppliers by selecting 7 alternative suppliers to be retained in the motorbike tire procurement cooperation, namely: Dermaga Jaya Motor with a score of 218.90, Ardendi Jaya Sentosa with a score of 217.90, Kumala Motor with a score of 213.08, Sinar Maju Motor got a score of 209.90, Raissa Jaya Motor got a score of 200.90, Nias Jaya Motor got a score of 198.18, Ciruas Jaya Motor got a score of 195.00.

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