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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

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

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.

Pendekatan Fuzzy Servqual Untuk Mengevaluasi Tingkat Kepuasan Pasien di Praktik Dokter Karunia Lina Rosina Limbong; Entin Sutinah; Nani Agustina
Journal of Students‘ Research in Computer Science Vol. 5 No. 2 (2024): November 2024
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/0hw26s38

Measuring patient satisfaction is one of the main indicators of measuring the quality of service in health facilities. Health service providers have difficulty measuring patient satisfaction, problems that are often complained about based on patient perceptions include late arrival of doctors at the clinic, lack of toilet cleanliness, long examination times, and the attitude of some nurses who are not friendly. The purpose of the study was to evaluate the level of satisfaction of patients who were treated at the Karunia Doctor's Practice using the Fuzzy Servqual method. Service quality was analyzed through five dimensions in the Servqual framework, namely tangible evidence, reliability, responsiveness, assurance, and empathy. The results of the study showed that the gap value of the five dimensions was negative, indicating that the quality of service provided did not meet the expectations of patients who were treated at the Karunia Doctor's Practice. The dimension with the highest gap value was tangible evidence with a value of -0.77, while the lowest gap value was in the reliability dimension. Thus, it can be concluded that the tangible evidence dimension requires special attention to improve service quality.

Optimalisasi Pemilihan Laptop Kerja Terbaik dengan Pendekatan Metode AHP dan TOPSIS Sya’Roni; Sutinah, Entin; Agustina, Nani
Journal of Students‘ Research in Computer Science Vol. 6 No. 1 (2025): Mei 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/ev7t4c98

The components found in laptops are generally the same as those in personal computers (PCs), but they are designed to be smaller, lighter, and more energy-efficient. As technology has advanced, laptops have also undergone many improvements, including in design, processor speed, memory capacity, feature additions, and efficiency in terms of time and space. Additionally, the prices of laptops today are relatively affordable. PT. Varsindo Kimia Abadi is a company engaged in the chemical industry. Currently, the company is facing a challenge in selecting the right laptop for new employees, considering the many brands and specifications available. Therefore, the author aims to provide the best recommendations for laptop selection. In the data analysis process of this research, two methods are adopted: AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The research results indicate that the best choice for a work laptop is the Asus X441MA with a score of 0.6717, followed by the Lenovo Ideapad IP V130 with a score of 0.5913, and the Asus X407MA as the third alternative with a score of 0.5458.

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