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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.

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.

Analisis Perbandingan Metode AHP dan MOORA Dalam Pengambilan Keputusan Pemilihan Sertifikasi Kompetensi Sutinah, Entin; Agustina, Nani; Martini, Martini
Journal of Computer System and Informatics (JoSYC) Vol 6 No 1 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v6i1.6252

Bina Sarana Informatika University (UBSI) is a private university in Indonesia with a large number of students across various study programs. This study focuses on the Information Systems program. A challenge was identified in determining the type of competency certification that aligns with students' interests and talents. The objective of this study is to compare two methods, namely AHP and MOORA, to assist students in selecting the appropriate certification. The criteria considered in this research include Student Interest, Market Demand, Certification Cost, Certification Duration, and Career Prospects. The three alternatives evaluated are the Database Proficiency Test, Program Analysis Competency Certification, and Programmer Certification. Data analysis using the AHP method showed that the Database Proficiency Test achieved the highest score of 0.41, followed by the Program Analysis Competency Certification with a score of 0.33, and the Programmer Certification with a score of 0.26. Similarly, data analysis using the MOORA method yielded comparable rankings: the Database Proficiency Test scored 0.303, the Program Analysis Competency Certification 0.287, and the Programmer Certification 0.276. After comparing the two methods, both AHP and MOORA produced the same results, with the Database Proficiency Test ranking first, followed by the Program Analysis Competency Certification and the Programmer Certification. This finding indicates that the Database Proficiency Test is the most preferred certification among students in the Information Systems program.

Algoritma Naive Bayes untuk Prediksi Keberhasilan Mahasiswa pada Mata Kuliah Praktikum Sutinah, Entin; Agustina, Nani; Martini, Martini
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 8 No. 2 : Tahun 2023
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar

The lecture system at BSI University has practicum courses, where the teaching and learning process is 20% theory and 80% practicum by learning software according to current technological developments. In the practicum-based teaching and learning process, there are several problems including understanding the content of the material delivered by the lecturer, communication between students in class and lecturers because there are many discussions, in practicum learning made in groups to make projects, this group cohesiveness is also an assessment in achieving predetermined targets, the learning atmosphere also supports the teaching and learning process, the process of lecturer assessment of students will be the final result of learning and teaching activities. In the practicum course, 4 credits are provided and this 4 credits time is still considered insufficient to complete quite a lot of material at each meeting, from these problems the author wants to know the prediction of student success rates in practicum course learning. This study uses the naive bayes method with a total sample of 130 samples from the results of a questionnaire distributed to students with 20 questions, so that this study results in that students feel successful in practicum course learning with an accuracy level of 100%, a precision level of 100%, and a recall level of 100% after being processed using rapidminer 5 software.

Algoritma Naive Bayes untuk Prediksi Keberhasilan Mahasiswa pada Mata Kuliah Praktikum Sutinah, Entin; Agustina, Nani; Martini, Martini
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 8 No. 2 : Tahun 2023
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar

The lecture system at BSI University has practicum courses, where the teaching and learning process is 20% theory and 80% practicum by learning software according to current technological developments. In the practicum-based teaching and learning process, there are several problems including understanding the content of the material delivered by the lecturer, communication between students in class and lecturers because there are many discussions, in practicum learning made in groups to make projects, this group cohesiveness is also an assessment in achieving predetermined targets, the learning atmosphere also supports the teaching and learning process, the process of lecturer assessment of students will be the final result of learning and teaching activities. In the practicum course, 4 credits are provided and this 4 credits time is still considered insufficient to complete quite a lot of material at each meeting, from these problems the author wants to know the prediction of student success rates in practicum course learning. This study uses the naive bayes method with a total sample of 130 samples from the results of a questionnaire distributed to students with 20 questions, so that this study results in that students feel successful in practicum course learning with an accuracy level of 100%, a precision level of 100%, and a recall level of 100% after being processed using rapidminer 5 software.

Penerapan Metode MOORA Pada Sistem Pendukung Keputusan Pemilihan Aplikasi Dompet Digital Agustina, Nani; Sutinah, Entin
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 6, No 2 (2022): InfoTekJar Maret
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v6i2.5012

Suatu sistem yang dapat menentukan peringkat dengan cepat dalam proses seleksi dan mengetahui nilai tertinggi serta terendah dari suatu masalah yang terjadi bisa diartikan dengan Sistem pendukung keputusan. Pada penelitian ini menggunakan sistem pendukung keputusan untuk menyelesaikan studi kasus dalam menentukan keputusan pemilihan dompet digital yang digunakan sebagai alat pembayaran pada transaksi pembelian dikalangan mahasiswa Universitas BSI program studi Administrasi Bisnis dan Administrasi Perkantoran, dimana banyaknya dompet digital yang bisa digunakan oleh mahasiswa dengan banyaknya penawaran-penawaran yang menarik sehingga membuat bingung dalam memilih dompet digital yang efektif dan efisien untuk kalangan mahassiwa. Oleh karena itu dibuat suatu sistem yang dapat digunakan untuk mendukung keputusan tersebut dengan menggunakan empat kriteria yang digunakan yaitu kerjasama merchant, promo dan penawaran menarik, layanan customer service serta kemudahan aplikasi dalam membantu proses penentuan pemilihan dompet digital. Dimana sistem pendukung keputusan ini menggunakan metode MOORA berdasarkan nilai bobot kriteria yang sudah ditentukan. Pada penelitian ini dihasilkan pemilihan dompet digital dikalangan mahasiswa sesuai peringkat dalam penelitian yaitu GoPay, ShopeePay, OVO, Dana, dan LinkAja.

Sistem Pakar Berbasis Whatsapp Bot Dengan Metode Forward Chaining Untuk Diagnosis Dini Gangguan Mental Pada Perkembangan Anak Rayhan Fadhilah; Muhammad Fahri Revansa; Giffari Ahmad Fakhriza; Entin Sutinah; Aryo Tunjung Kusumo
Journal of Students‘ Research in Computer Science Vol. 6 No. 2 (2025): November 2025
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/4b27ra56

Mental disorders in children can hinder their development if not detected early. Limited public awareness and a shortage of professionals often lead to undiagnosed cases. This study developed an expert system based on a WhatsApp Bot using the Forward Chaining method to support early diagnosis of children's mental disorders. Built with Node.js and MySQL, the system can identify seven types of disorders: ADHD, anxiety, depression, autism, OCD, eating disorders, and PTSD. Black box testing showed the system functions well and provides accurate results. It is expected to assist parents and educators in early detection and awareness of mental health issues in children.

Sistem Informasi Penjualan Harian Berbasis Web sebagai Solusi Digitalisasi Pencatatan Keuangan UMKM Budiman Budiman; Entin Sutinah; Nani Agustina
Journal of Students‘ Research in Computer Science Vol. 7 No. 1 (2026): Mei 2026
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/m9nyth88

Micro, Small, and Medium Enterprises (MSMEs) often face challenges in managing transaction records and financial reports manually, which can lead to recording errors and reduced operational efficiency. This study aims to develop a web-based daily sales information system to manage sales transactions, product data, income, expenses, and profit-loss reports in an integrated manner. The system was developed using the Waterfall method and web-based technology. The results show that the system can assist MSMEs in recording transactions digitally, improving data accuracy, accelerating financial report preparation, and supporting more effective and efficient business decision-making.

Data Mining Untuk Klasifikasi Tamu Hotel Dengan Algoritma Apriori Entin Sutinah; Nani Agustina; Randi Ashar Asmoro
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 7 No. 1 (2019): Maret 2019
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v7i1.1653

Abstract Data from hotel activity is one of the assets of a hotel. The amount of data produced will increase with the day-to-day operational activities,. The large amount of data will be a problem if the hotel cannot process it. In this study, we will implement a priori algorithm to classify guest record data in Delua Hotel in Jakarta based on trends that arise from a category at a certain time in the process of checking in at Delua Hotels on every day, week, and month. Guest record data that is processed using itemset room type Superior Queen/Twin, Deluxe Room, Holywood Room, and Executive Suite. The results of this study are in the form of data used to predict the available rooms when preparing a room reservation and the results of this algorithm can also be used as a reference for the hotel in preparing the reservation room which is most often attracted by hotel visitors. Keywords: Apriori Algorithm, hotel management, Association Rule Abstrak Data yang dimiliki suatu hotel merupakan salah satu aset dari suatu hotel tersebut. Dengan adanya kegiatan operasional sehari-hari akan semakin memperbanyak jumlah data yang dihasilkan. Jumlah data yang begitu besar justru akan menjadi masalah bila hotel tersebut tidak bisa mengolahnya. Dalam penelitian ini, akan mengimplementasikan algoritma apriori untuk mengklasifikasikan data record guest yang ada di Delua Hotel Jakarta berdasarkan kecenderungan yang muncul dari suatu kategori pada kurun waktu tertentu pada proses chek in pada Delua Hotel pada setiap hari, minggu, bulannya. Data record guest yang diolah menggunakan itemset room type Superior Queen/Twin, Deluxe Room, Holywood Room, dan Executive Suite. Hasil dari penelitian ini berupa data yang digunakan untuk memprediksikan room yang tersedia saat mempersiapkan reservation room dan hasil dari algoritma ini juga dapat dijadikan rujukan bagi pihak hotel dalam mempersiapkan reservation room yang paling sering di minati oleh pengunjung hotel. Kata kunci: Algototma Apriori, manajemen hotel, aturan asosiasi

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